Index (TensorFlow Core API Library 0.4.2 API)

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

A

a - Variable in class org.tensorflow.op.linalg.Cross.Inputs: A tensor containing 3-element vectors.
a - Variable in class org.tensorflow.op.linalg.MatMul.Inputs: The a input
a - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: Must be a two-dimensional tensor.
a - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: A matrix to be multiplied.
a - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: A matrix to be multiplied.
a - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: A matrix to be multiplied.
a - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixAdd.Inputs: A CSRSparseMatrix.
a - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs: A CSRSparseMatrix.
a - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMul.Inputs: A CSRSparseMatrix.
a - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Inputs: A CSRSparseMatrix.
a - Variable in class org.tensorflow.op.math.Betainc.Inputs: The a input
a - Variable in class org.tensorflow.op.math.Igamma.Inputs: The a input
a - Variable in class org.tensorflow.op.math.Igammac.Inputs: The a input
a - Variable in class org.tensorflow.op.math.IgammaGradA.Inputs: The a input
a - Variable in class org.tensorflow.op.math.Polygamma.Inputs: The a input
a - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The a input
a - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The a input
a - Variable in class org.tensorflow.op.risc.RiscDot.Inputs: The a input
a - Variable in class org.tensorflow.op.sparse.SparseMatMul.Inputs: The a input
a - Variable in class org.tensorflow.op.xla.Einsum.Inputs: The a input
a - Variable in class org.tensorflow.op.xla.SelfAdjointEig.Inputs: the input tensor.
a - Variable in class org.tensorflow.op.xla.Svd.Inputs: the input tensor.
Abort - Class in org.tensorflow.op.core: Raise a exception to abort the process when called.
Abort(Operation) - Constructor for class org.tensorflow.op.core.Abort
abort(Abort.Options...) - Method in class org.tensorflow.op.Ops: Raise a exception to abort the process when called.
Abort.Inputs - Class in org.tensorflow.op.core
Abort.Options - Class in org.tensorflow.op.core: Optional attributes for Abort
ABORTED_VALUE - Static variable in enum org.tensorflow.proto.framework.Code: The operation was aborted, typically due to a concurrency issue like sequencer check failures, transaction aborts, etc.
Abs<T extends TNumber> - Class in org.tensorflow.op.math: Computes the absolute value of a tensor.
Abs(Operation) - Constructor for class org.tensorflow.op.math.Abs
abs(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes the absolute value of a tensor.
Abs.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
AbstractTF_Buffer - Class in org.tensorflow.internal.c_api
AbstractTF_Buffer(Pointer) - Constructor for class org.tensorflow.internal.c_api.AbstractTF_Buffer
AbstractTF_Buffer.DeleteDeallocator - Class in org.tensorflow.internal.c_api
AbstractTF_Function - Class in org.tensorflow.internal.c_api
AbstractTF_Function(Pointer) - Constructor for class org.tensorflow.internal.c_api.AbstractTF_Function
AbstractTF_Function.DeleteDeallocator - Class in org.tensorflow.internal.c_api
AbstractTF_Graph - Class in org.tensorflow.internal.c_api
AbstractTF_Graph(Pointer) - Constructor for class org.tensorflow.internal.c_api.AbstractTF_Graph
AbstractTF_Graph.DeleteDeallocator - Class in org.tensorflow.internal.c_api
AbstractTF_ImportGraphDefOptions - Class in org.tensorflow.internal.c_api
AbstractTF_ImportGraphDefOptions(Pointer) - Constructor for class org.tensorflow.internal.c_api.AbstractTF_ImportGraphDefOptions
AbstractTF_ImportGraphDefOptions.DeleteDeallocator - Class in org.tensorflow.internal.c_api
AbstractTF_Session - Class in org.tensorflow.internal.c_api
AbstractTF_Session(Pointer) - Constructor for class org.tensorflow.internal.c_api.AbstractTF_Session
AbstractTF_Session.DeleteDeallocator - Class in org.tensorflow.internal.c_api
AbstractTF_SessionOptions - Class in org.tensorflow.internal.c_api
AbstractTF_SessionOptions(Pointer) - Constructor for class org.tensorflow.internal.c_api.AbstractTF_SessionOptions
AbstractTF_SessionOptions.DeleteDeallocator - Class in org.tensorflow.internal.c_api
AbstractTF_Status - Class in org.tensorflow.internal.c_api
AbstractTF_Status(Pointer) - Constructor for class org.tensorflow.internal.c_api.AbstractTF_Status
AbstractTF_Status.DeleteDeallocator - Class in org.tensorflow.internal.c_api
AbstractTF_Tensor - Class in org.tensorflow.internal.c_api
AbstractTF_Tensor(Pointer) - Constructor for class org.tensorflow.internal.c_api.AbstractTF_Tensor
AbstractTF_Tensor.DeleteDeallocator - Class in org.tensorflow.internal.c_api
AbstractTFE_Context - Class in org.tensorflow.internal.c_api
AbstractTFE_Context(Pointer) - Constructor for class org.tensorflow.internal.c_api.AbstractTFE_Context
AbstractTFE_Context.DeleteDeallocator - Class in org.tensorflow.internal.c_api
AbstractTFE_ContextOptions - Class in org.tensorflow.internal.c_api
AbstractTFE_ContextOptions(Pointer) - Constructor for class org.tensorflow.internal.c_api.AbstractTFE_ContextOptions
AbstractTFE_ContextOptions.DeleteDeallocator - Class in org.tensorflow.internal.c_api
AbstractTFE_Op - Class in org.tensorflow.internal.c_api
AbstractTFE_Op(Pointer) - Constructor for class org.tensorflow.internal.c_api.AbstractTFE_Op
AbstractTFE_Op.DeleteDeallocator - Class in org.tensorflow.internal.c_api
AbstractTFE_TensorHandle - Class in org.tensorflow.internal.c_api
AbstractTFE_TensorHandle(Pointer) - Constructor for class org.tensorflow.internal.c_api.AbstractTFE_TensorHandle
AbstractTFE_TensorHandle.DeleteDeallocator - Class in org.tensorflow.internal.c_api
accept(TString) - Method in class org.tensorflow.internal.types.TStringInitializer
acceptableFraction(Float) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg: Sets the acceptableFraction option.
acceptableFraction - Variable in class org.tensorflow.op.image.DecodeAndCropJpeg.Inputs: The minimum required fraction of lines before a truncated input is accepted.
acceptableFraction(Float) - Method in class org.tensorflow.op.image.DecodeAndCropJpeg.Options: Sets the acceptableFraction option.
acceptableFraction(Float) - Static method in class org.tensorflow.op.image.DecodeJpeg: Sets the acceptableFraction option.
acceptableFraction - Variable in class org.tensorflow.op.image.DecodeJpeg.Inputs: The minimum required fraction of lines before a truncated input is accepted.
acceptableFraction(Float) - Method in class org.tensorflow.op.image.DecodeJpeg.Options: Sets the acceptableFraction option.
accum - Variable in class org.tensorflow.op.train.ApplyAdadelta.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ApplyAdagrad.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ApplyAdagradV2.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ApplyMomentum.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ApplyProximalAdagrad.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceApplyAdagrad.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceApplyMomentum.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: Should be from a Variable().
AccumulateN<T extends TType> - Class in org.tensorflow.op.math: Returns the element-wise sum of a list of tensors.
AccumulateN(Operation) - Constructor for class org.tensorflow.op.math.AccumulateN
accumulateN(Iterable<Operand<T>>, Shape) - Method in class org.tensorflow.op.MathOps: Returns the element-wise sum of a list of tensors.
AccumulateN.Inputs<T extends TType> - Class in org.tensorflow.op.math
AccumulatorApplyGradient - Class in org.tensorflow.op.train: Applies a gradient to a given accumulator.
AccumulatorApplyGradient(Operation) - Constructor for class org.tensorflow.op.train.AccumulatorApplyGradient
accumulatorApplyGradient(Operand<TString>, Operand<TInt64>, Operand<? extends TType>) - Method in class org.tensorflow.op.TrainOps: Applies a gradient to a given accumulator.
AccumulatorApplyGradient.Inputs - Class in org.tensorflow.op.train
AccumulatorNumAccumulated - Class in org.tensorflow.op.train: Returns the number of gradients aggregated in the given accumulators.
AccumulatorNumAccumulated(Operation) - Constructor for class org.tensorflow.op.train.AccumulatorNumAccumulated
accumulatorNumAccumulated(Operand<TString>) - Method in class org.tensorflow.op.TrainOps: Returns the number of gradients aggregated in the given accumulators.
AccumulatorNumAccumulated.Inputs - Class in org.tensorflow.op.train
accumulators - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Inputs: Value of accumulators used in the Adadelta optimization algorithm.
accumulators - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Inputs: Value of accumulators used in the Adagrad Momentum optimization algorithm.
accumulators - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Inputs: Value of accumulators used in the Adagrad optimization algorithm.
accumulators - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Inputs: Value of accumulators used in the FTRL optimization algorithm.
accumulators - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs: Value of accumulators used in the MDL Adagrad Light optimization algorithm.
accumulators - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Inputs: Value of accumulators used in the proximal Adagrad optimization algorithm.
accumulators() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters: Gets accumulators.
accumulators() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters: Gets accumulators.
accumulators() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters: Gets accumulators.
accumulators() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters: Gets accumulators.
accumulators() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters: Gets accumulators.
accumulators() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters: Gets accumulators.
AccumulatorSetGlobalStep - Class in org.tensorflow.op.train: Updates the accumulator with a new value for global_step.
AccumulatorSetGlobalStep(Operation) - Constructor for class org.tensorflow.op.train.AccumulatorSetGlobalStep
accumulatorSetGlobalStep(Operand<TString>, Operand<TInt64>) - Method in class org.tensorflow.op.TrainOps: Updates the accumulator with a new value for global_step.
AccumulatorSetGlobalStep.Inputs - Class in org.tensorflow.op.train
AccumulatorTakeGradient<T extends TType> - Class in org.tensorflow.op.train: Extracts the average gradient in the given ConditionalAccumulator.
AccumulatorTakeGradient(Operation) - Constructor for class org.tensorflow.op.train.AccumulatorTakeGradient
accumulatorTakeGradient(Operand<TString>, Operand<TInt32>, Class<T>) - Method in class org.tensorflow.op.TrainOps: Extracts the average gradient in the given ConditionalAccumulator.
AccumulatorTakeGradient.Inputs - Class in org.tensorflow.op.train
accumUpdate - Variable in class org.tensorflow.op.train.ApplyAdadelta.Inputs: Should be from a Variable().
accumUpdate - Variable in class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs: Should be from a Variable().
accumUpdate - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: : Should be from a Variable().
accumUpdate - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: : Should be from a Variable().
Acos<T extends TType> - Class in org.tensorflow.op.math: Computes acos of x element-wise.
Acos(Operation) - Constructor for class org.tensorflow.op.math.Acos
acos(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes acos of x element-wise.
Acos.Inputs<T extends TType> - Class in org.tensorflow.op.math
Acosh<T extends TType> - Class in org.tensorflow.op.math: Computes inverse hyperbolic cosine of x element-wise.
Acosh(Operation) - Constructor for class org.tensorflow.op.math.Acosh
acosh(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes inverse hyperbolic cosine of x element-wise.
Acosh.Inputs<T extends TType> - Class in org.tensorflow.op.math
ACTION_COUNT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.MemChunk
ACTION_COUNT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.SnapShot
activations() - Method in class org.tensorflow.op.math.Softplus: Gets activations.
activations() - Method in class org.tensorflow.op.nn.Elu: Gets activations.
activations() - Method in class org.tensorflow.op.nn.LeakyRelu: Gets activations.
activations() - Method in class org.tensorflow.op.nn.QuantizedRelu: Gets activations.
activations() - Method in class org.tensorflow.op.nn.QuantizedRelu6: Gets activations.
activations() - Method in class org.tensorflow.op.nn.QuantizedReluX: Gets activations.
activations() - Method in class org.tensorflow.op.nn.Relu: Gets activations.
activations() - Method in class org.tensorflow.op.nn.Relu6: Gets activations.
activations() - Method in class org.tensorflow.op.nn.Selu: Gets activations.
activations() - Method in class org.tensorflow.op.nn.Softsign: Gets activations.
adapter(CustomGradient<T>, Class<T>) - Static method in interface org.tensorflow.op.CustomGradient: Create an adapter for the custom gradient so that it can be used by native code.
adapter(RawCustomGradient) - Static method in interface org.tensorflow.op.RawCustomGradient: Create an adapter for the custom gradient so that it can be used by native code.
adaptive(Boolean) - Static method in class org.tensorflow.op.train.SdcaOptimizer: Sets the adaptive option.
adaptive - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: Whether to use Adaptive SDCA for the inner loop.
adaptive(Boolean) - Method in class org.tensorflow.op.train.SdcaOptimizer.Options: Sets the adaptive option.
Add<T extends TType> - Class in org.tensorflow.op.math: Returns x + y element-wise.
Add(Operation) - Constructor for class org.tensorflow.op.math.Add
add(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns x + y element-wise.
Add.Inputs<T extends TType> - Class in org.tensorflow.op.math
addAllAllocationRecords(Iterable<? extends AllocationRecord>) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
addAllArgOrder(Iterable<String>) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: List of original in_arg names to specify new argument order.
addAllArgs(Iterable<? extends FullTypeDef>) - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
addAllArgument(Iterable<String>) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder: repeated string argument = 1;
addAllArgumentKeywords(Iterable<String>) - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder: A sequence of unique strings, one per Tensor argument.
addAllAssetFileDef(Iterable<? extends AssetFileDef>) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
addAllAttr(Iterable<? extends ApiDef.Attr>) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
addAllAttr(Iterable<? extends OpDef.AttrDef>) - Method in class org.tensorflow.proto.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
addAllAttributes(Iterable<? extends TrackableObjectGraph.TrackableObject.SerializedTensor>) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
addAllAvailableDeviceInfo(Iterable<? extends AvailableDeviceInfo>) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Devices accessible to the test (e.g.
addAllB(Iterable<? extends Boolean>) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(bool)"
addAllBadConsumers(Iterable<? extends Integer>) - Method in class org.tensorflow.proto.framework.VersionDef.Builder: Specific consumer versions which are disallowed (e.g.
addAllBinSummary(Iterable<? extends BinSummary>) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
addAllBoolVal(Iterable<? extends Boolean>) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_BOOL
addAllBoundInputs(Iterable<? extends Integer>) - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder: repeated int32 bound_inputs = 2;
addAllBucket(Iterable<? extends Double>) - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: repeated double bucket = 7 [packed = true];
addAllBucketLimit(Iterable<? extends Double>) - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: Parallel arrays encoding the bucket boundaries and the bucket values.
addAllCcFlags(Iterable<String>) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder: CC compiler flags, if known
addAllChildId(Iterable<? extends Long>) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: XPlane.event_metadata map key for children events.
addAllChildren(Iterable<? extends TrackableObjectGraph.TrackableObject.ObjectReference>) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
addAllChildren(Iterable<? extends TrackableObjectGraph.TrackableObject.ObjectReference>) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
addAllChunk(Iterable<? extends MemChunk>) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
addAllComponents(Iterable<? extends TensorInfo>) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
addAllConcreteFunctions(Iterable<String>) - Method in class org.tensorflow.proto.framework.SavedFunction.Builder: repeated string concrete_functions = 1;
addAllConstNodeInfo(Iterable<? extends GraphTransferConstNodeInfo>) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addAllConstraint(Iterable<? extends KernelDef.AttrConstraint>) - Method in class org.tensorflow.proto.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addAllControlInput(Iterable<? extends Integer>) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Ids of the control inputs for this node.
addAllControlOutput(Iterable<String>) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Named control outputs for this operation.
addAllCost(Iterable<? extends CostGraphDef.AggregatedCost>) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
addAllCustomOptimizers(Iterable<? extends RewriterConfig.CustomGraphOptimizer>) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
addAllDcomplexVal(Iterable<? extends Double>) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_COMPLEX128.
addAllDebugOps(Iterable<String>) - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: Name(s) of the debugging op(s).
addAllDebugTensorWatchOpts(Iterable<? extends DebugTensorWatch>) - Method in class org.tensorflow.proto.framework.DebugOptions.Builder: Debugging options
addAllDebugUrls(Iterable<String>) - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: URL(s) for debug targets(s).
addAllDeviceFilters(Iterable<String>) - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters.Builder: repeated string device_filters = 1;
addAllDeviceFilters(Iterable<String>) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: When any filters are present sessions will ignore all devices which do not match the filters.
addAllDeviceInfo(Iterable<? extends Any>) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
addAllDevicePersistentTensorAllocIds(Iterable<? extends Long>) - Method in class org.tensorflow.proto.framework.MemoryStats.Builder: Deprecated.
addAllDevStats(Iterable<? extends DeviceStepStats>) - Method in class org.tensorflow.proto.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
addAllDim(Iterable<? extends TensorShapeProto.Dim>) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
addAllDoubleVal(Iterable<? extends Double>) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_DOUBLE.
addAllDtype(Iterable<? extends DataType>) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: A list of tensor dtype corresponding to each element of the snapshot.
addAllDtypesAndShapes(Iterable<? extends ResourceHandleProto.DtypeAndShape>) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
addAllDtypeValue(Iterable<Integer>) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: A list of tensor dtype corresponding to each element of the snapshot.
addAllElement(Iterable<? extends MemmappedFileSystemDirectoryElement>) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
addAllEnableOp(Iterable<String>) - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions.Builder: If present, only perform optimization for these ops.
addAllEndpoint(Iterable<? extends ApiDef.Endpoint>) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addAllEnqueueOpName(Iterable<String>) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: A list of enqueue operations.
addAllEntry(Iterable<? extends BenchmarkEntry>) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
addAllErrors(Iterable<String>) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: Errors (if any) in the generation of planes.
addAllEvents(Iterable<? extends XEvent>) - Method in class org.tensorflow.proto.profiler.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
addAllExperimentalDistributedVariableComponents(Iterable<? extends SavedVariable>) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: List of component variables for a distributed variable.
addAllExtent(Iterable<? extends TensorSliceProto.Extent>) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
addAllF(Iterable<? extends Float>) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(float)"
addAllFeature(Iterable<? extends Feature>) - Method in class org.tensorflow.proto.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
addAllFeed(Iterable<String>) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Tensors to be fed in the callable.
addAllFetch(Iterable<String>) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Fetches.
addAllFileLineCols(Iterable<? extends GraphDebugInfo.FileLineCol>) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder: Each line in the stack trace.
addAllFiles(Iterable<String>) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder: This stores all the source code file names and can be indexed by the `file_index`.
addAllFloatVal(Iterable<? extends Float>) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_FLOAT.
addAllFullShape(Iterable<? extends Long>) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder: Shape of the full variable.
addAllFunc(Iterable<? extends NameAttrList>) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(attr)"
addAllFunction(Iterable<? extends FunctionDef>) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
addAllFunctionGraphs(Iterable<? extends RunMetadata.FunctionGraphs>) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
addAllGradient(Iterable<? extends GradientDef>) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
addAllGraphInputNodeInfo(Iterable<? extends GraphTransferGraphInputNodeInfo>) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph
addAllGraphOutputNodeInfo(Iterable<? extends GraphTransferGraphOutputNodeInfo>) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addAllHalfVal(Iterable<? extends Integer>) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_HALF, DT_BFLOAT16.
addAllHandleData(Iterable<? extends ResourceHandleProto.DtypeAndShape>) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: The handle data for resource inputs.
addAllHostMemoryArg(Iterable<String>) - Method in class org.tensorflow.proto.framework.KernelDef.Builder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
addAllHostnames(Iterable<String>) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: List of hostnames that XPlanes are generated from.
addAllI(Iterable<? extends Long>) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(int)"
addAllInArg(Iterable<? extends ApiDef.Arg>) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
addAllInput(Iterable<String>) - Method in class org.tensorflow.proto.framework.NodeDef.Builder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
addAllInputArg(Iterable<? extends OpDef.ArgDef>) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the input(s).
addAllInputInfo(Iterable<? extends CostGraphDef.Node.InputInfo>) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
addAllInputNames(Iterable<String>) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Names of the input tensors to the op.
addAllInputs(Iterable<? extends Long>) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: IDs of inputs of this node.
addAllInputs(Iterable<? extends OpInfo.TensorProperties>) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
addAllInputTensorIds(Iterable<? extends Long>) - Method in class org.tensorflow.proto.util.Execution.Builder: IDs of the input tensors (if available).
addAllInstrumentedOps(Iterable<String>) - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: Names of the instrumented ops.
addAllInt64Val(Iterable<? extends Long>) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_INT64
addAllIntVal(Iterable<? extends Integer>) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_INT32, DT_INT16, DT_UINT16, DT_INT8, DT_UINT8.
addAllJob(Iterable<? extends JobDef>) - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
addAllJobs(Iterable<? extends JobDeviceFilters>) - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
addAllKernel(Iterable<? extends KernelDef>) - Method in class org.tensorflow.proto.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
addAllLines(Iterable<String>) - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder: Line-by-line content of the source code file.
addAllLines(Iterable<? extends XLine>) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: Parallel timelines grouped in this plane.
addAllLines(Iterable<String>) - Method in class org.tensorflow.proto.util.SourceFile.Builder: Line-by-line content of the file.
addAllLink(Iterable<? extends InterconnectLink>) - Method in class org.tensorflow.proto.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
addAllLoopEnterNames(Iterable<String>) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: List of names for enter tensors.
addAllLoopExitNames(Iterable<String>) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: List of names for exit tensors.
addAllMaxByteSize(Iterable<? extends Integer>) - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder: repeated int32 max_byte_size = 2;
addAllMemory(Iterable<? extends AllocatorMemoryUsed>) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addAllMemoryLimitMb(Iterable<? extends Float>) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder: Per "virtual" device memory limit, in MB.
addAllMetaGraphs(Iterable<? extends MetaGraphDef>) - Method in class org.tensorflow.proto.framework.SavedModel.Builder: One or more MetaGraphs.
addAllMetrics(Iterable<? extends MetricEntry>) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Metric name, value and expected range.
addAllNestedContexts(Iterable<? extends ControlFlowContextDef>) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Contexts contained inside this context (e.g.
addAllNestedContexts(Iterable<? extends ControlFlowContextDef>) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g.
addAllNode(Iterable<? extends CostGraphDef.Node>) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
addAllNode(Iterable<? extends NodeDef>) - Method in class org.tensorflow.proto.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
addAllNodeDef(Iterable<? extends NodeDef>) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
addAllNodeInfo(Iterable<? extends GraphTransferNodeInfo>) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addAllNodeInput(Iterable<? extends GraphTransferNodeInput>) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addAllNodeInputInfo(Iterable<? extends GraphTransferNodeInputInfo>) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addAllNodeOutputInfo(Iterable<? extends GraphTransferNodeOutputInfo>) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addAllNodes(Iterable<? extends SavedObject>) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
addAllNodes(Iterable<? extends TrackableObjectGraph.TrackableObject>) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
addAllNodeStats(Iterable<? extends NodeExecStats>) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
addAllocationRecords(AllocationRecord) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
addAllocationRecords(int, AllocationRecord) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
addAllocationRecords(AllocationRecord.Builder) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
addAllocationRecords(int, AllocationRecord.Builder) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
addAllocationRecordsBuilder() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
addAllocationRecordsBuilder(int) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
addAllOp(Iterable<? extends ApiDef>) - Method in class org.tensorflow.proto.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
addAllOp(Iterable<? extends OpDef>) - Method in class org.tensorflow.proto.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
addAllOpPerformance(Iterable<? extends OpPerformance>) - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
addAllOptimizers(Iterable<String>) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
addAllOpts(Iterable<String>) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder: Bazel compilation options, if known
addAllOriginalFuncNames(Iterable<String>) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder: This is intended to store the list of names of the functions from the original graph that this node was derived.
addAllOriginalNodeNames(Iterable<String>) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder: Opaque string inserted into error messages created by the runtime.
addAllOutArg(Iterable<? extends ApiDef.Arg>) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
addAllOutput(Iterable<? extends NodeOutput>) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
addAllOutputArg(Iterable<? extends OpDef.ArgDef>) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the output(s).
addAllOutputInfo(Iterable<? extends CostGraphDef.Node.OutputInfo>) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
addAllOutputMemory(Iterable<? extends Long>) - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder: The output information may have memory usage and output shapes.
addAllOutputs(Iterable<? extends OpInfo.TensorProperties>) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Optional description of the op outputs
addAllOutputTensorDeviceIds(Iterable<? extends Integer>) - Method in class org.tensorflow.proto.util.Execution.Builder: Debugged-generated IDs of the devices on which the output tensors reside.
addAllOutputTensorIds(Iterable<? extends Long>) - Method in class org.tensorflow.proto.util.Execution.Builder: IDs of the output tensors (if availbable).
addAllOutputTensorIds(Iterable<? extends Integer>) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Unique IDs for the output tensors of this op.
addAllParameters(Iterable<? extends ModelProto.Node.Parameter>) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Parameters of this node.
addAllPartitionGraphs(Iterable<? extends GraphDef>) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
addAllPartitionGraphs(Iterable<? extends GraphDef>) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
addAllPersistentTensorAllocIds(Iterable<? extends Long>) - Method in class org.tensorflow.proto.framework.MemoryStats.Builder: repeated int64 persistent_tensor_alloc_ids = 5;
addAllPlanes(Iterable<? extends XPlane>) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
addAllPriority(Iterable<? extends Integer>) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder: Priority values to use with the virtual devices.
addAllQueueClosedExceptionTypes(Iterable<? extends Code>) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
addAllQueueClosedExceptionTypesValue(Iterable<Integer>) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
addAllReferencedTensor(Iterable<? extends AllocationDescription>) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addAllRegisteredGradients(Iterable<? extends RegisteredGradient>) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
addAllResourceDtypesAndShapes(Iterable<? extends ResourceDtypeAndShape>) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
addAllResourceHandleVal(Iterable<? extends ResourceHandleProto>) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_RESOURCE
addAllS(Iterable<? extends ByteString>) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(string)"
addAllScomplexVal(Iterable<? extends Float>) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_COMPLEX64.
addAllServiceAddresses(Iterable<String>) - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder: List of servers to profile.
addAllSessionInterOpThreadPool(Iterable<? extends ThreadPoolOptionProto>) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
addAllShape(Iterable<? extends TensorShapeProto>) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(shape)"
addAllShape(Iterable<? extends Long>) - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder: repeated int64 shape = 3;
addAllShape(Iterable<? extends Long>) - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder: repeated int64 shape = 2;
addAllShape(Iterable<? extends Long>) - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder: repeated int64 shape = 2;
addAllSlice(Iterable<? extends TensorSliceProto>) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
addAllSlices(Iterable<? extends TensorSliceProto>) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
addAllSlotVariables(Iterable<? extends TrackableObjectGraph.TrackableObject.SlotVariableReference>) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Slot variables owned by this object.
addAllSlotVariables(Iterable<? extends TrackableObjectGraph.TrackableObject.SlotVariableReference>) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
addAllSnapShot(Iterable<? extends SnapShot>) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
addAllSourceFiles(Iterable<? extends DebuggedSourceFile>) - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder: A collection of source code files.
addAllStackFrameIds(Iterable<String>) - Method in class org.tensorflow.proto.util.CodeLocation.Builder: ID to a stack frame, each of which is pointed to by a unique ID.
addAllStats(Iterable<? extends XStat>) - Method in class org.tensorflow.proto.profiler.XEvent.Builder: XStats associated with the event.
addAllStats(Iterable<? extends XStat>) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
addAllStats(Iterable<? extends XStat>) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XStats associated with this plane, e.g.
addAllStringVal(Iterable<? extends ByteString>) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_STRING
addAllTags(Iterable<String>) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: User supplied tag(s) on the meta_graph and included graph_def.
addAllTarget(Iterable<String>) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Target Nodes.
addAllTensor(Iterable<? extends TensorProto>) - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
addAllTensor(Iterable<? extends TensorProto>) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(tensor)"
addAllTensor(Iterable<? extends SavedSliceMeta>) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
addAllTensorConnection(Iterable<? extends TensorConnection>) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Tensors to be connected in the callable.
addAllTensorContent(Iterable<? extends ByteString>) - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra.Builder: repeated bytes tensor_content = 1;
addAllTensorMetadata(Iterable<? extends TensorMetadata>) - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
addAllTensorProtos(Iterable<? extends TensorProto>) - Method in class org.tensorflow.proto.util.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
addAllTensors(Iterable<? extends TensorProto>) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
addAllType(Iterable<? extends DataType>) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(type)"
addAllTypeValue(Iterable<Integer>) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(type)"
addAllUint32Val(Iterable<? extends Integer>) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_UINT32
addAllUint64Val(Iterable<? extends Long>) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_UINT64
addAllValue(Iterable<? extends ByteString>) - Method in class org.tensorflow.proto.example.BytesList.Builder: repeated bytes value = 1;
addAllValue(Iterable<? extends Float>) - Method in class org.tensorflow.proto.example.FloatList.Builder: repeated float value = 1 [packed = true];
addAllValue(Iterable<? extends Long>) - Method in class org.tensorflow.proto.example.Int64List.Builder: repeated int64 value = 1 [packed = true];
addAllValue(Iterable<? extends Any>) - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
addAllValue(Iterable<? extends ByteString>) - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList.Builder: repeated bytes value = 1;
addAllValue(Iterable<? extends Float>) - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList.Builder: repeated float value = 1 [packed = true];
addAllValue(Iterable<? extends Long>) - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List.Builder: repeated int64 value = 1 [packed = true];
addAllValue(Iterable<String>) - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList.Builder: repeated string value = 1;
addAllValue(Iterable<? extends Summary.Value>) - Method in class org.tensorflow.proto.framework.Summary.Builder: Set of values for the summary.
addAllValues(Iterable<? extends StructuredValue>) - Method in class org.tensorflow.proto.framework.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
addAllValues(Iterable<? extends PairValue>) - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
addAllValues(Iterable<? extends StructuredValue>) - Method in class org.tensorflow.proto.framework.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
addAllValues(Iterable<String>) - Method in class org.tensorflow.proto.framework.ValuesDef.Builder: Value names that have been seen in this context.
addAllVariantVal(Iterable<? extends VariantTensorDataProto>) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_VARIANT
addAllVarOffset(Iterable<? extends Long>) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder: Offset of this variable into the full variable.
addAllVarShape(Iterable<? extends Long>) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder: Shape of this variable.
addAllVirtualDevices(Iterable<? extends GPUOptions.Experimental.VirtualDevices>) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
addAllWarnings(Iterable<String>) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: Warnings (if any) in the generation of planes;
addAllWorkerAddresses(Iterable<String>) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: (Optional.) If the job uses auto-sharding, it needs to specify a fixed list of worker addresses that will register with the dispatcher.
addAllWorkerLog(Iterable<? extends Event>) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
addAllWorkerTags(Iterable<String>) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: Tags attached to the worker.
addArgOrder(String) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: List of original in_arg names to specify new argument order.
addArgOrderBytes(ByteString) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: List of original in_arg names to specify new argument order.
addArgs(FullTypeDef) - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
addArgs(int, FullTypeDef) - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
addArgs(FullTypeDef.Builder) - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
addArgs(int, FullTypeDef.Builder) - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
addArgsBuilder() - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
addArgsBuilder(int) - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
addArgument(String) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder: repeated string argument = 1;
addArgumentBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder: repeated string argument = 1;
addArgumentKeywords(String) - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder: A sequence of unique strings, one per Tensor argument.
addArgumentKeywordsBytes(ByteString) - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder: A sequence of unique strings, one per Tensor argument.
addAssetFileDef(AssetFileDef) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
addAssetFileDef(int, AssetFileDef) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
addAssetFileDef(AssetFileDef.Builder) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
addAssetFileDef(int, AssetFileDef.Builder) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
addAssetFileDefBuilder() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
addAssetFileDefBuilder(int) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
addAttr(ApiDef.Attr) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
addAttr(int, ApiDef.Attr) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
addAttr(ApiDef.Attr.Builder) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
addAttr(int, ApiDef.Attr.Builder) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
addAttr(OpDef.AttrDef) - Method in class org.tensorflow.proto.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
addAttr(int, OpDef.AttrDef) - Method in class org.tensorflow.proto.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
addAttr(OpDef.AttrDef.Builder) - Method in class org.tensorflow.proto.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
addAttr(int, OpDef.AttrDef.Builder) - Method in class org.tensorflow.proto.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
addAttrBuilder() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
addAttrBuilder(int) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
addAttrBuilder() - Method in class org.tensorflow.proto.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
addAttrBuilder(int) - Method in class org.tensorflow.proto.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
addAttributes(TrackableObjectGraph.TrackableObject.SerializedTensor) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
addAttributes(int, TrackableObjectGraph.TrackableObject.SerializedTensor) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
addAttributes(TrackableObjectGraph.TrackableObject.SerializedTensor.Builder) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
addAttributes(int, TrackableObjectGraph.TrackableObject.SerializedTensor.Builder) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
addAttributesBuilder() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
addAttributesBuilder(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
addAvailableDeviceInfo(AvailableDeviceInfo) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Devices accessible to the test (e.g.
addAvailableDeviceInfo(int, AvailableDeviceInfo) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Devices accessible to the test (e.g.
addAvailableDeviceInfo(AvailableDeviceInfo.Builder) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Devices accessible to the test (e.g.
addAvailableDeviceInfo(int, AvailableDeviceInfo.Builder) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Devices accessible to the test (e.g.
addAvailableDeviceInfoBuilder() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Devices accessible to the test (e.g.
addAvailableDeviceInfoBuilder(int) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Devices accessible to the test (e.g.
addB(boolean) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(bool)"
addBadConsumers(int) - Method in class org.tensorflow.proto.framework.VersionDef.Builder: Specific consumer versions which are disallowed (e.g.
addBinSummary(BinSummary) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
addBinSummary(int, BinSummary) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
addBinSummary(BinSummary.Builder) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
addBinSummary(int, BinSummary.Builder) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
addBinSummaryBuilder() - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
addBinSummaryBuilder(int) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
addBoolVal(boolean) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_BOOL
addBoundInputs(int) - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder: repeated int32 bound_inputs = 2;
addBucket(double) - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: repeated double bucket = 7 [packed = true];
addBucketLimit(double) - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: Parallel arrays encoding the bucket boundaries and the bucket values.
addCcFlags(String) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder: CC compiler flags, if known
addCcFlagsBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder: CC compiler flags, if known
addChildId(long) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: XPlane.event_metadata map key for children events.
addChildren(TrackableObjectGraph.TrackableObject.ObjectReference) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
addChildren(int, TrackableObjectGraph.TrackableObject.ObjectReference) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
addChildren(TrackableObjectGraph.TrackableObject.ObjectReference.Builder) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
addChildren(int, TrackableObjectGraph.TrackableObject.ObjectReference.Builder) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
addChildren(TrackableObjectGraph.TrackableObject.ObjectReference) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
addChildren(int, TrackableObjectGraph.TrackableObject.ObjectReference) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
addChildren(TrackableObjectGraph.TrackableObject.ObjectReference.Builder) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
addChildren(int, TrackableObjectGraph.TrackableObject.ObjectReference.Builder) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
addChildrenBuilder() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
addChildrenBuilder(int) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
addChildrenBuilder() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
addChildrenBuilder(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
addChunk(MemChunk) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
addChunk(int, MemChunk) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
addChunk(MemChunk.Builder) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
addChunk(int, MemChunk.Builder) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
addChunkBuilder() - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
addChunkBuilder(int) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
addComponents(TensorInfo) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
addComponents(int, TensorInfo) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
addComponents(TensorInfo.Builder) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
addComponents(int, TensorInfo.Builder) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
addComponentsBuilder() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
addComponentsBuilder(int) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
addConcreteFunctions(String) - Method in class org.tensorflow.proto.framework.SavedFunction.Builder: repeated string concrete_functions = 1;
addConcreteFunctionsBytes(ByteString) - Method in class org.tensorflow.proto.framework.SavedFunction.Builder: repeated string concrete_functions = 1;
addConstNodeInfo(GraphTransferConstNodeInfo) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstNodeInfo(int, GraphTransferConstNodeInfo) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstNodeInfo(GraphTransferConstNodeInfo.Builder) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstNodeInfo(int, GraphTransferConstNodeInfo.Builder) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstNodeInfoBuilder() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstNodeInfoBuilder(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstraint(KernelDef.AttrConstraint) - Method in class org.tensorflow.proto.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addConstraint(int, KernelDef.AttrConstraint) - Method in class org.tensorflow.proto.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addConstraint(KernelDef.AttrConstraint.Builder) - Method in class org.tensorflow.proto.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addConstraint(int, KernelDef.AttrConstraint.Builder) - Method in class org.tensorflow.proto.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addConstraintBuilder() - Method in class org.tensorflow.proto.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addConstraintBuilder(int) - Method in class org.tensorflow.proto.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addControlInput(Operation) - Method in class org.tensorflow.GraphOperationBuilder
addControlInput(Operation) - Method in interface org.tensorflow.OperationBuilder: Ensure that the operation does not execute before the control operation does.
addControlInput(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Ids of the control inputs for this node.
addControlOutput(String) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Named control outputs for this operation.
addControlOutputBytes(ByteString) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Named control outputs for this operation.
addCost(CostGraphDef.AggregatedCost) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
addCost(int, CostGraphDef.AggregatedCost) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
addCost(CostGraphDef.AggregatedCost.Builder) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
addCost(int, CostGraphDef.AggregatedCost.Builder) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
addCostBuilder() - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
addCostBuilder(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
addCustomOptimizers(RewriterConfig.CustomGraphOptimizer) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
addCustomOptimizers(int, RewriterConfig.CustomGraphOptimizer) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
addCustomOptimizers(RewriterConfig.CustomGraphOptimizer.Builder) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
addCustomOptimizers(int, RewriterConfig.CustomGraphOptimizer.Builder) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
addCustomOptimizersBuilder() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
addCustomOptimizersBuilder(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
addDcomplexVal(double) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_COMPLEX128.
addDebugOps(String) - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: Name(s) of the debugging op(s).
addDebugOpsBytes(ByteString) - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: Name(s) of the debugging op(s).
addDebugTensorWatchOpts(DebugTensorWatch) - Method in class org.tensorflow.proto.framework.DebugOptions.Builder: Debugging options
addDebugTensorWatchOpts(int, DebugTensorWatch) - Method in class org.tensorflow.proto.framework.DebugOptions.Builder: Debugging options
addDebugTensorWatchOpts(DebugTensorWatch.Builder) - Method in class org.tensorflow.proto.framework.DebugOptions.Builder: Debugging options
addDebugTensorWatchOpts(int, DebugTensorWatch.Builder) - Method in class org.tensorflow.proto.framework.DebugOptions.Builder: Debugging options
addDebugTensorWatchOptsBuilder() - Method in class org.tensorflow.proto.framework.DebugOptions.Builder: Debugging options
addDebugTensorWatchOptsBuilder(int) - Method in class org.tensorflow.proto.framework.DebugOptions.Builder: Debugging options
addDebugUrls(String) - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: URL(s) for debug targets(s).
addDebugUrlsBytes(ByteString) - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: URL(s) for debug targets(s).
addDeviceFilters(String) - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters.Builder: repeated string device_filters = 1;
addDeviceFilters(String) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: When any filters are present sessions will ignore all devices which do not match the filters.
addDeviceFiltersBytes(ByteString) - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters.Builder: repeated string device_filters = 1;
addDeviceFiltersBytes(ByteString) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: When any filters are present sessions will ignore all devices which do not match the filters.
addDeviceInfo(Any) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
addDeviceInfo(int, Any) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
addDeviceInfo(Any.Builder) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
addDeviceInfo(int, Any.Builder) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
addDeviceInfoBuilder() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
addDeviceInfoBuilder(int) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
addDevicePersistentTensorAllocIds(long) - Method in class org.tensorflow.proto.framework.MemoryStats.Builder: Deprecated.
addDevStats(DeviceStepStats) - Method in class org.tensorflow.proto.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
addDevStats(int, DeviceStepStats) - Method in class org.tensorflow.proto.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
addDevStats(DeviceStepStats.Builder) - Method in class org.tensorflow.proto.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
addDevStats(int, DeviceStepStats.Builder) - Method in class org.tensorflow.proto.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
addDevStatsBuilder() - Method in class org.tensorflow.proto.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
addDevStatsBuilder(int) - Method in class org.tensorflow.proto.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
addDim(TensorShapeProto.Dim) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
addDim(int, TensorShapeProto.Dim) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
addDim(TensorShapeProto.Dim.Builder) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
addDim(int, TensorShapeProto.Dim.Builder) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
addDimBuilder() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
addDimBuilder(int) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
addDoubleVal(double) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_DOUBLE.
addDtype(DataType) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: A list of tensor dtype corresponding to each element of the snapshot.
addDtypesAndShapes(ResourceHandleProto.DtypeAndShape) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
addDtypesAndShapes(int, ResourceHandleProto.DtypeAndShape) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
addDtypesAndShapes(ResourceHandleProto.DtypeAndShape.Builder) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
addDtypesAndShapes(int, ResourceHandleProto.DtypeAndShape.Builder) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
addDtypesAndShapesBuilder() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
addDtypesAndShapesBuilder(int) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
addDtypeValue(int) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: A list of tensor dtype corresponding to each element of the snapshot.
addElement(MemmappedFileSystemDirectoryElement) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
addElement(int, MemmappedFileSystemDirectoryElement) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
addElement(MemmappedFileSystemDirectoryElement.Builder) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
addElement(int, MemmappedFileSystemDirectoryElement.Builder) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
addElementBuilder() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
addElementBuilder(int) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
addEnableOp(String) - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions.Builder: If present, only perform optimization for these ops.
addEnableOpBytes(ByteString) - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions.Builder: If present, only perform optimization for these ops.
addEndpoint(ApiDef.Endpoint) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addEndpoint(int, ApiDef.Endpoint) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addEndpoint(ApiDef.Endpoint.Builder) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addEndpoint(int, ApiDef.Endpoint.Builder) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addEndpointBuilder() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addEndpointBuilder(int) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addEnqueueOpName(String) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: A list of enqueue operations.
addEnqueueOpNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: A list of enqueue operations.
addEntry(BenchmarkEntry) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
addEntry(int, BenchmarkEntry) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
addEntry(BenchmarkEntry.Builder) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
addEntry(int, BenchmarkEntry.Builder) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
addEntryBuilder() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
addEntryBuilder(int) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
addErrors(String) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: Errors (if any) in the generation of planes.
addErrorsBytes(ByteString) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: Errors (if any) in the generation of planes.
addEvents(XEvent) - Method in class org.tensorflow.proto.profiler.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
addEvents(int, XEvent) - Method in class org.tensorflow.proto.profiler.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
addEvents(XEvent.Builder) - Method in class org.tensorflow.proto.profiler.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
addEvents(int, XEvent.Builder) - Method in class org.tensorflow.proto.profiler.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
addEventsBuilder() - Method in class org.tensorflow.proto.profiler.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
addEventsBuilder(int) - Method in class org.tensorflow.proto.profiler.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
addExperimentalDistributedVariableComponents(SavedVariable) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: List of component variables for a distributed variable.
addExperimentalDistributedVariableComponents(int, SavedVariable) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: List of component variables for a distributed variable.
addExperimentalDistributedVariableComponents(SavedVariable.Builder) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: List of component variables for a distributed variable.
addExperimentalDistributedVariableComponents(int, SavedVariable.Builder) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: List of component variables for a distributed variable.
addExperimentalDistributedVariableComponentsBuilder() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: List of component variables for a distributed variable.
addExperimentalDistributedVariableComponentsBuilder(int) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: List of component variables for a distributed variable.
addExtent(TensorSliceProto.Extent) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
addExtent(int, TensorSliceProto.Extent) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
addExtent(TensorSliceProto.Extent.Builder) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
addExtent(int, TensorSliceProto.Extent.Builder) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
addExtentBuilder() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
addExtentBuilder(int) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
addF(float) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(float)"
addFeature(Feature) - Method in class org.tensorflow.proto.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
addFeature(int, Feature) - Method in class org.tensorflow.proto.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
addFeature(Feature.Builder) - Method in class org.tensorflow.proto.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
addFeature(int, Feature.Builder) - Method in class org.tensorflow.proto.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
addFeatureBuilder() - Method in class org.tensorflow.proto.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
addFeatureBuilder(int) - Method in class org.tensorflow.proto.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
addFeed(String) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Tensors to be fed in the callable.
addFeedBytes(ByteString) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Tensors to be fed in the callable.
addFetch(String) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Fetches.
addFetchBytes(ByteString) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Fetches.
addFileLineCols(GraphDebugInfo.FileLineCol) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder: Each line in the stack trace.
addFileLineCols(int, GraphDebugInfo.FileLineCol) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder: Each line in the stack trace.
addFileLineCols(GraphDebugInfo.FileLineCol.Builder) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder: Each line in the stack trace.
addFileLineCols(int, GraphDebugInfo.FileLineCol.Builder) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder: Each line in the stack trace.
addFileLineColsBuilder() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder: Each line in the stack trace.
addFileLineColsBuilder(int) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder: Each line in the stack trace.
addFiles(String) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder: This stores all the source code file names and can be indexed by the `file_index`.
addFilesBytes(ByteString) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder: This stores all the source code file names and can be indexed by the `file_index`.
addFloatVal(float) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_FLOAT.
addFullShape(long) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder: Shape of the full variable.
addFunc(NameAttrList) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(attr)"
addFunc(int, NameAttrList) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(attr)"
addFunc(NameAttrList.Builder) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(attr)"
addFunc(int, NameAttrList.Builder) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(attr)"
addFuncBuilder() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(attr)"
addFuncBuilder(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(attr)"
addFunction(FunctionDef) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
addFunction(int, FunctionDef) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
addFunction(FunctionDef.Builder) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
addFunction(int, FunctionDef.Builder) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
addFunctionBuilder() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
addFunctionBuilder(int) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
addFunctionGraphs(RunMetadata.FunctionGraphs) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
addFunctionGraphs(int, RunMetadata.FunctionGraphs) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
addFunctionGraphs(RunMetadata.FunctionGraphs.Builder) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
addFunctionGraphs(int, RunMetadata.FunctionGraphs.Builder) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
addFunctionGraphsBuilder() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
addFunctionGraphsBuilder(int) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
addGradient(GradientDef) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
addGradient(int, GradientDef) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
addGradient(GradientDef.Builder) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
addGradient(int, GradientDef.Builder) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
addGradientBuilder() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
addGradientBuilder(int) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
addGradients(String, Output<?>[], Output<?>[], Output<?>[]) - Method in class org.tensorflow.Graph: Adds operations to compute the partial derivatives of sum of ys w.r.t xs, i.e., d(y_1 + y_2 + ...)/dx_1, d(y_1 + y_2 + ...)/dx_2...
addGradients(Output<?>, Output<?>[]) - Method in class org.tensorflow.Graph: Adds operations to compute the partial derivatives of sum of ys w.r.t xs, i.e., dy/dx_1, dy/dx_2...
addGraphInputNodeInfo(GraphTransferGraphInputNodeInfo) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph
addGraphInputNodeInfo(int, GraphTransferGraphInputNodeInfo) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph
addGraphInputNodeInfo(GraphTransferGraphInputNodeInfo.Builder) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph
addGraphInputNodeInfo(int, GraphTransferGraphInputNodeInfo.Builder) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph
addGraphInputNodeInfoBuilder() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph
addGraphInputNodeInfoBuilder(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph
addGraphOutputNodeInfo(GraphTransferGraphOutputNodeInfo) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfo(int, GraphTransferGraphOutputNodeInfo) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfo(GraphTransferGraphOutputNodeInfo.Builder) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfo(int, GraphTransferGraphOutputNodeInfo.Builder) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfoBuilder() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfoBuilder(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addHalfVal(int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_HALF, DT_BFLOAT16.
addHandleData(ResourceHandleProto.DtypeAndShape) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: The handle data for resource inputs.
addHandleData(int, ResourceHandleProto.DtypeAndShape) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: The handle data for resource inputs.
addHandleData(ResourceHandleProto.DtypeAndShape.Builder) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: The handle data for resource inputs.
addHandleData(int, ResourceHandleProto.DtypeAndShape.Builder) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: The handle data for resource inputs.
addHandleDataBuilder() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: The handle data for resource inputs.
addHandleDataBuilder(int) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: The handle data for resource inputs.
addHostMemoryArg(String) - Method in class org.tensorflow.proto.framework.KernelDef.Builder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
addHostMemoryArgBytes(ByteString) - Method in class org.tensorflow.proto.framework.KernelDef.Builder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
addHostnames(String) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: List of hostnames that XPlanes are generated from.
addHostnamesBytes(ByteString) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: List of hostnames that XPlanes are generated from.
addI(long) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(int)"
addInArg(ApiDef.Arg) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
addInArg(int, ApiDef.Arg) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
addInArg(ApiDef.Arg.Builder) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
addInArg(int, ApiDef.Arg.Builder) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
addInArgBuilder() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
addInArgBuilder(int) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
addInput(Output<?>) - Method in class org.tensorflow.GraphOperationBuilder
addInput(Output<?>) - Method in interface org.tensorflow.OperationBuilder: Add the output of another operation as the next input of the operation being built.
addInput(String) - Method in class org.tensorflow.proto.framework.NodeDef.Builder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
addInputArg(OpDef.ArgDef) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the input(s).
addInputArg(int, OpDef.ArgDef) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the input(s).
addInputArg(OpDef.ArgDef.Builder) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the input(s).
addInputArg(int, OpDef.ArgDef.Builder) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the input(s).
addInputArgBuilder() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the input(s).
addInputArgBuilder(int) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the input(s).
addInputBytes(ByteString) - Method in class org.tensorflow.proto.framework.NodeDef.Builder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
addInputInfo(CostGraphDef.Node.InputInfo) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
addInputInfo(int, CostGraphDef.Node.InputInfo) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
addInputInfo(CostGraphDef.Node.InputInfo.Builder) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
addInputInfo(int, CostGraphDef.Node.InputInfo.Builder) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
addInputInfoBuilder() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
addInputInfoBuilder(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
addInputList(Output<?>[]) - Method in class org.tensorflow.GraphOperationBuilder
addInputList(Output<?>[]) - Method in interface org.tensorflow.OperationBuilder: Add the outputs of another operation as the next inputs of the operation being built.
addInputNames(String) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Names of the input tensors to the op.
addInputNamesBytes(ByteString) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Names of the input tensors to the op.
addInputs(long) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: IDs of inputs of this node.
addInputs(OpInfo.TensorProperties) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
addInputs(int, OpInfo.TensorProperties) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
addInputs(OpInfo.TensorProperties.Builder) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
addInputs(int, OpInfo.TensorProperties.Builder) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
addInputsBuilder() - Method in class org.tensorflow.proto.framework.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
addInputsBuilder(int) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
addInputTensorIds(long) - Method in class org.tensorflow.proto.util.Execution.Builder: IDs of the input tensors (if available).
addInstrumentedOps(String) - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: Names of the instrumented ops.
addInstrumentedOpsBytes(ByteString) - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: Names of the instrumented ops.
addInt64Val(long) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_INT64
addIntVal(int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_INT32, DT_INT16, DT_UINT16, DT_INT8, DT_UINT8.
addJob(JobDef) - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
addJob(int, JobDef) - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
addJob(JobDef.Builder) - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
addJob(int, JobDef.Builder) - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
addJobBuilder() - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
addJobBuilder(int) - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
addJobs(JobDeviceFilters) - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
addJobs(int, JobDeviceFilters) - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
addJobs(JobDeviceFilters.Builder) - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
addJobs(int, JobDeviceFilters.Builder) - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
addJobsBuilder() - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
addJobsBuilder(int) - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
addKernel(KernelDef) - Method in class org.tensorflow.proto.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
addKernel(int, KernelDef) - Method in class org.tensorflow.proto.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
addKernel(KernelDef.Builder) - Method in class org.tensorflow.proto.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
addKernel(int, KernelDef.Builder) - Method in class org.tensorflow.proto.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
addKernelBuilder() - Method in class org.tensorflow.proto.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
addKernelBuilder(int) - Method in class org.tensorflow.proto.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
addLines(String) - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder: Line-by-line content of the source code file.
addLines(XLine) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: Parallel timelines grouped in this plane.
addLines(int, XLine) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: Parallel timelines grouped in this plane.
addLines(XLine.Builder) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: Parallel timelines grouped in this plane.
addLines(int, XLine.Builder) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: Parallel timelines grouped in this plane.
addLines(String) - Method in class org.tensorflow.proto.util.SourceFile.Builder: Line-by-line content of the file.
addLinesBuilder() - Method in class org.tensorflow.proto.profiler.XPlane.Builder: Parallel timelines grouped in this plane.
addLinesBuilder(int) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: Parallel timelines grouped in this plane.
addLinesBytes(ByteString) - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder: Line-by-line content of the source code file.
addLinesBytes(ByteString) - Method in class org.tensorflow.proto.util.SourceFile.Builder: Line-by-line content of the file.
addLink(InterconnectLink) - Method in class org.tensorflow.proto.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
addLink(int, InterconnectLink) - Method in class org.tensorflow.proto.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
addLink(InterconnectLink.Builder) - Method in class org.tensorflow.proto.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
addLink(int, InterconnectLink.Builder) - Method in class org.tensorflow.proto.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
addLinkBuilder() - Method in class org.tensorflow.proto.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
addLinkBuilder(int) - Method in class org.tensorflow.proto.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
addLoopEnterNames(String) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: List of names for enter tensors.
addLoopEnterNamesBytes(ByteString) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: List of names for enter tensors.
addLoopExitNames(String) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: List of names for exit tensors.
addLoopExitNamesBytes(ByteString) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: List of names for exit tensors.
AddManySparseToTensorsMap - Class in org.tensorflow.op.sparse: Add an N-minibatch SparseTensor to a SparseTensorsMap, return N handles.
AddManySparseToTensorsMap(Operation) - Constructor for class org.tensorflow.op.sparse.AddManySparseToTensorsMap
addManySparseToTensorsMap(Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>, AddManySparseToTensorsMap.Options...) - Method in class org.tensorflow.op.SparseOps: Add an N-minibatch SparseTensor to a SparseTensorsMap, return N handles.
AddManySparseToTensorsMap.Inputs - Class in org.tensorflow.op.sparse
AddManySparseToTensorsMap.Options - Class in org.tensorflow.op.sparse: Optional attributes for AddManySparseToTensorsMap
addMaxByteSize(int) - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder: repeated int32 max_byte_size = 2;
addMemory(AllocatorMemoryUsed) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addMemory(int, AllocatorMemoryUsed) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addMemory(AllocatorMemoryUsed.Builder) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addMemory(int, AllocatorMemoryUsed.Builder) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addMemoryBuilder() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addMemoryBuilder(int) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addMemoryLimitMb(float) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder: Per "virtual" device memory limit, in MB.
addMetaGraphs(MetaGraphDef) - Method in class org.tensorflow.proto.framework.SavedModel.Builder: One or more MetaGraphs.
addMetaGraphs(int, MetaGraphDef) - Method in class org.tensorflow.proto.framework.SavedModel.Builder: One or more MetaGraphs.
addMetaGraphs(MetaGraphDef.Builder) - Method in class org.tensorflow.proto.framework.SavedModel.Builder: One or more MetaGraphs.
addMetaGraphs(int, MetaGraphDef.Builder) - Method in class org.tensorflow.proto.framework.SavedModel.Builder: One or more MetaGraphs.
addMetaGraphsBuilder() - Method in class org.tensorflow.proto.framework.SavedModel.Builder: One or more MetaGraphs.
addMetaGraphsBuilder(int) - Method in class org.tensorflow.proto.framework.SavedModel.Builder: One or more MetaGraphs.
addMetrics(MetricEntry) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Metric name, value and expected range.
addMetrics(int, MetricEntry) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Metric name, value and expected range.
addMetrics(MetricEntry.Builder) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Metric name, value and expected range.
addMetrics(int, MetricEntry.Builder) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Metric name, value and expected range.
addMetricsBuilder() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Metric name, value and expected range.
addMetricsBuilder(int) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Metric name, value and expected range.
AddN<T extends TType> - Class in org.tensorflow.op.math: Add all input tensors element wise.
AddN(Operation) - Constructor for class org.tensorflow.op.math.AddN
addN(Iterable<Operand<T>>) - Method in class org.tensorflow.op.MathOps: Add all input tensors element wise.
AddN.Inputs<T extends TType> - Class in org.tensorflow.op.math
addNestedContexts(ControlFlowContextDef) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Contexts contained inside this context (e.g.
addNestedContexts(int, ControlFlowContextDef) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Contexts contained inside this context (e.g.
addNestedContexts(ControlFlowContextDef.Builder) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Contexts contained inside this context (e.g.
addNestedContexts(int, ControlFlowContextDef.Builder) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Contexts contained inside this context (e.g.
addNestedContexts(ControlFlowContextDef) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g.
addNestedContexts(int, ControlFlowContextDef) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g.
addNestedContexts(ControlFlowContextDef.Builder) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g.
addNestedContexts(int, ControlFlowContextDef.Builder) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g.
addNestedContextsBuilder() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Contexts contained inside this context (e.g.
addNestedContextsBuilder(int) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Contexts contained inside this context (e.g.
addNestedContextsBuilder() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g.
addNestedContextsBuilder(int) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g.
addNode(CostGraphDef.Node) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
addNode(int, CostGraphDef.Node) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
addNode(CostGraphDef.Node.Builder) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
addNode(int, CostGraphDef.Node.Builder) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
addNode(NodeDef) - Method in class org.tensorflow.proto.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
addNode(int, NodeDef) - Method in class org.tensorflow.proto.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
addNode(NodeDef.Builder) - Method in class org.tensorflow.proto.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
addNode(int, NodeDef.Builder) - Method in class org.tensorflow.proto.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
addNodeBuilder() - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
addNodeBuilder(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
addNodeBuilder() - Method in class org.tensorflow.proto.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
addNodeBuilder(int) - Method in class org.tensorflow.proto.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
addNodeDef(NodeDef) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
addNodeDef(int, NodeDef) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
addNodeDef(NodeDef.Builder) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
addNodeDef(int, NodeDef.Builder) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
addNodeDefBuilder() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
addNodeDefBuilder(int) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
addNodeInfo(GraphTransferNodeInfo) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInfo(int, GraphTransferNodeInfo) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInfo(GraphTransferNodeInfo.Builder) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInfo(int, GraphTransferNodeInfo.Builder) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInfoBuilder() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInfoBuilder(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInput(GraphTransferNodeInput) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInput(int, GraphTransferNodeInput) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInput(GraphTransferNodeInput.Builder) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInput(int, GraphTransferNodeInput.Builder) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInputBuilder() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInputBuilder(int) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInputInfo(GraphTransferNodeInputInfo) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeInputInfo(int, GraphTransferNodeInputInfo) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeInputInfo(GraphTransferNodeInputInfo.Builder) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeInputInfo(int, GraphTransferNodeInputInfo.Builder) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeInputInfoBuilder() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeInputInfoBuilder(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeOutputInfo(GraphTransferNodeOutputInfo) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodeOutputInfo(int, GraphTransferNodeOutputInfo) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodeOutputInfo(GraphTransferNodeOutputInfo.Builder) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodeOutputInfo(int, GraphTransferNodeOutputInfo.Builder) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodeOutputInfoBuilder() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodeOutputInfoBuilder(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodes(SavedObject) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
addNodes(int, SavedObject) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
addNodes(SavedObject.Builder) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
addNodes(int, SavedObject.Builder) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
addNodes(TrackableObjectGraph.TrackableObject) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
addNodes(int, TrackableObjectGraph.TrackableObject) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
addNodes(TrackableObjectGraph.TrackableObject.Builder) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
addNodes(int, TrackableObjectGraph.TrackableObject.Builder) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
addNodesBuilder() - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
addNodesBuilder(int) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
addNodesBuilder() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
addNodesBuilder(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
addNodeStats(NodeExecStats) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
addNodeStats(int, NodeExecStats) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
addNodeStats(NodeExecStats.Builder) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
addNodeStats(int, NodeExecStats.Builder) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
addNodeStatsBuilder() - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
addNodeStatsBuilder(int) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
addOp(ApiDef) - Method in class org.tensorflow.proto.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
addOp(int, ApiDef) - Method in class org.tensorflow.proto.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
addOp(ApiDef.Builder) - Method in class org.tensorflow.proto.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
addOp(int, ApiDef.Builder) - Method in class org.tensorflow.proto.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
addOp(OpDef) - Method in class org.tensorflow.proto.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
addOp(int, OpDef) - Method in class org.tensorflow.proto.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
addOp(OpDef.Builder) - Method in class org.tensorflow.proto.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
addOp(int, OpDef.Builder) - Method in class org.tensorflow.proto.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
addOpBuilder() - Method in class org.tensorflow.proto.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
addOpBuilder(int) - Method in class org.tensorflow.proto.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
addOpBuilder() - Method in class org.tensorflow.proto.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
addOpBuilder(int) - Method in class org.tensorflow.proto.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
addOpPerformance(OpPerformance) - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
addOpPerformance(int, OpPerformance) - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
addOpPerformance(OpPerformance.Builder) - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
addOpPerformance(int, OpPerformance.Builder) - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
addOpPerformanceBuilder() - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
addOpPerformanceBuilder(int) - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
addOptimizers(String) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
addOptimizersBytes(ByteString) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
addOpts(String) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder: Bazel compilation options, if known
addOptsBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder: Bazel compilation options, if known
addOriginalFuncNames(String) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder: This is intended to store the list of names of the functions from the original graph that this node was derived.
addOriginalFuncNamesBytes(ByteString) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder: This is intended to store the list of names of the functions from the original graph that this node was derived.
addOriginalNodeNames(String) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder: Opaque string inserted into error messages created by the runtime.
addOriginalNodeNamesBytes(ByteString) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder: Opaque string inserted into error messages created by the runtime.
addOutArg(ApiDef.Arg) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
addOutArg(int, ApiDef.Arg) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
addOutArg(ApiDef.Arg.Builder) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
addOutArg(int, ApiDef.Arg.Builder) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
addOutArgBuilder() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
addOutArgBuilder(int) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
addOutput(NodeOutput) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
addOutput(int, NodeOutput) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
addOutput(NodeOutput.Builder) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
addOutput(int, NodeOutput.Builder) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
addOutputArg(OpDef.ArgDef) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the output(s).
addOutputArg(int, OpDef.ArgDef) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the output(s).
addOutputArg(OpDef.ArgDef.Builder) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the output(s).
addOutputArg(int, OpDef.ArgDef.Builder) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the output(s).
addOutputArgBuilder() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the output(s).
addOutputArgBuilder(int) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the output(s).
addOutputBuilder() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
addOutputBuilder(int) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
addOutputInfo(CostGraphDef.Node.OutputInfo) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
addOutputInfo(int, CostGraphDef.Node.OutputInfo) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
addOutputInfo(CostGraphDef.Node.OutputInfo.Builder) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
addOutputInfo(int, CostGraphDef.Node.OutputInfo.Builder) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
addOutputInfoBuilder() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
addOutputInfoBuilder(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
addOutputMemory(long) - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder: The output information may have memory usage and output shapes.
addOutputs(OpInfo.TensorProperties) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Optional description of the op outputs
addOutputs(int, OpInfo.TensorProperties) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Optional description of the op outputs
addOutputs(OpInfo.TensorProperties.Builder) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Optional description of the op outputs
addOutputs(int, OpInfo.TensorProperties.Builder) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Optional description of the op outputs
addOutputsBuilder() - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Optional description of the op outputs
addOutputsBuilder(int) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Optional description of the op outputs
addOutputTensorDeviceIds(int) - Method in class org.tensorflow.proto.util.Execution.Builder: Debugged-generated IDs of the devices on which the output tensors reside.
addOutputTensorIds(long) - Method in class org.tensorflow.proto.util.Execution.Builder: IDs of the output tensors (if availbable).
addOutputTensorIds(int) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Unique IDs for the output tensors of this op.
addParameters(ModelProto.Node.Parameter) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Parameters of this node.
addParameters(int, ModelProto.Node.Parameter) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Parameters of this node.
addParameters(ModelProto.Node.Parameter.Builder) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Parameters of this node.
addParameters(int, ModelProto.Node.Parameter.Builder) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Parameters of this node.
addParametersBuilder() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Parameters of this node.
addParametersBuilder(int) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Parameters of this node.
addPartitionGraphs(GraphDef) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
addPartitionGraphs(int, GraphDef) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
addPartitionGraphs(GraphDef.Builder) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
addPartitionGraphs(int, GraphDef.Builder) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
addPartitionGraphs(GraphDef) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
addPartitionGraphs(int, GraphDef) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
addPartitionGraphs(GraphDef.Builder) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
addPartitionGraphs(int, GraphDef.Builder) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
addPartitionGraphsBuilder() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
addPartitionGraphsBuilder(int) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
addPartitionGraphsBuilder() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
addPartitionGraphsBuilder(int) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
addPersistentTensorAllocIds(long) - Method in class org.tensorflow.proto.framework.MemoryStats.Builder: repeated int64 persistent_tensor_alloc_ids = 5;
addPlanes(XPlane) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
addPlanes(int, XPlane) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
addPlanes(XPlane.Builder) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
addPlanes(int, XPlane.Builder) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
addPlanesBuilder() - Method in class org.tensorflow.proto.profiler.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
addPlanesBuilder(int) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
addPriority(int) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder: Priority values to use with the virtual devices.
addQueueClosedExceptionTypes(Code) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
addQueueClosedExceptionTypesValue(int) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
addReferencedTensor(AllocationDescription) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addReferencedTensor(int, AllocationDescription) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addReferencedTensor(AllocationDescription.Builder) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addReferencedTensor(int, AllocationDescription.Builder) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addReferencedTensorBuilder() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addReferencedTensorBuilder(int) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addRegisteredGradients(RegisteredGradient) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
addRegisteredGradients(int, RegisteredGradient) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
addRegisteredGradients(RegisteredGradient.Builder) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
addRegisteredGradients(int, RegisteredGradient.Builder) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
addRegisteredGradientsBuilder() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
addRegisteredGradientsBuilder(int) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DistributeOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.model.ModelProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.Options.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.ThreadingOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.distruntime.JobDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.example.BytesList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.example.Example.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.example.Feature.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.example.FeatureList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.example.FeatureLists.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.example.Features.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.example.FloatList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.example.Int64List.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.example.SequenceExample.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.AllocationRecord.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ApiDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ApiDefs.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.AttrValue.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.AutoParallelOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CapturedTensor.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CollectionDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.DebugOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.DictValue.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GPUOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GradientDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GraphDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GraphOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.HistogramProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.KernelDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.KernelList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ListValue.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.LocalLinks.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.LogNormalDistribution.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.MemoryLogStep.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.MemoryStats.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.NameAttrList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.NamedDevice.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.NodeDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.NodeOutput.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.NoneValue.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.NormalDistribution.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.OpDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.OpDeprecation.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.OpInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.OpList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.PairValue.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.RegisteredGradient.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.RPCOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.RunOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SaveableObject.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SavedAsset.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SavedConstant.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SavedFunction.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SavedModel.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SavedObject.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SavedResource.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SessionInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SessionMetadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SignatureDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.Status.DerivedStatus.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.StepStats.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.Summary.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.Summary.Image.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SummaryDescription.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TensorConnection.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TensorDescription.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TensorInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TensorProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TupleValue.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ValuesDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.VariableDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.VerifierConfig.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.VersionDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.XEvent.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.XLine.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.XPlane.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.XSpace.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.XStat.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.BinSummary.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.CodeLocation.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.DebugEvent.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.DebuggedDevice.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.DebugMetadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.Event.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.Execution.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.MemChunk.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.MemoryDump.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.RequestedExitCode.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.SavedSlice.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.SaverDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.SessionLog.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.SnapShot.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.SourceFile.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.TaggedRunMetadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.testlog.EntryValue.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.testlog.MemoryInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.WatchdogConfig.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder
addResourceDtypesAndShapes(ResourceDtypeAndShape) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
addResourceDtypesAndShapes(int, ResourceDtypeAndShape) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
addResourceDtypesAndShapes(ResourceDtypeAndShape.Builder) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
addResourceDtypesAndShapes(int, ResourceDtypeAndShape.Builder) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
addResourceDtypesAndShapesBuilder() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
addResourceDtypesAndShapesBuilder(int) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
addResourceHandleVal(ResourceHandleProto) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_RESOURCE
addResourceHandleVal(int, ResourceHandleProto) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_RESOURCE
addResourceHandleVal(ResourceHandleProto.Builder) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_RESOURCE
addResourceHandleVal(int, ResourceHandleProto.Builder) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_RESOURCE
addResourceHandleValBuilder() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_RESOURCE
addResourceHandleValBuilder(int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_RESOURCE
address - Variable in class org.tensorflow.op.data.DataServiceDatasetV2.Inputs: The address input
address - Variable in class org.tensorflow.op.data.RegisterDataset.Inputs: The address input
ADDRESS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.MemChunk
addS(ByteString) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(string)"
addScomplexVal(float) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_COMPLEX64.
addServiceAddresses(String) - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder: List of servers to profile.
addServiceAddressesBytes(ByteString) - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder: List of servers to profile.
addSessionInterOpThreadPool(ThreadPoolOptionProto) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
addSessionInterOpThreadPool(int, ThreadPoolOptionProto) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
addSessionInterOpThreadPool(ThreadPoolOptionProto.Builder) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
addSessionInterOpThreadPool(int, ThreadPoolOptionProto.Builder) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
addSessionInterOpThreadPoolBuilder() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
addSessionInterOpThreadPoolBuilder(int) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
addShape(TensorShapeProto) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(shape)"
addShape(int, TensorShapeProto) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(shape)"
addShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(shape)"
addShape(int, TensorShapeProto.Builder) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(shape)"
addShape(long) - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder: repeated int64 shape = 3;
addShape(long) - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder: repeated int64 shape = 2;
addShape(long) - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder: repeated int64 shape = 2;
addShapeBuilder() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(shape)"
addShapeBuilder(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(shape)"
addSlice(TensorSliceProto) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
addSlice(int, TensorSliceProto) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
addSlice(TensorSliceProto.Builder) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
addSlice(int, TensorSliceProto.Builder) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
addSliceBuilder() - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
addSliceBuilder(int) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
addSlices(TensorSliceProto) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
addSlices(int, TensorSliceProto) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
addSlices(TensorSliceProto.Builder) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
addSlices(int, TensorSliceProto.Builder) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
addSlicesBuilder() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
addSlicesBuilder(int) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
addSlotVariables(TrackableObjectGraph.TrackableObject.SlotVariableReference) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Slot variables owned by this object.
addSlotVariables(int, TrackableObjectGraph.TrackableObject.SlotVariableReference) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Slot variables owned by this object.
addSlotVariables(TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Slot variables owned by this object.
addSlotVariables(int, TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Slot variables owned by this object.
addSlotVariables(TrackableObjectGraph.TrackableObject.SlotVariableReference) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
addSlotVariables(int, TrackableObjectGraph.TrackableObject.SlotVariableReference) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
addSlotVariables(TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
addSlotVariables(int, TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
addSlotVariablesBuilder() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Slot variables owned by this object.
addSlotVariablesBuilder(int) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Slot variables owned by this object.
addSlotVariablesBuilder() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
addSlotVariablesBuilder(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
addSnapShot(SnapShot) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
addSnapShot(int, SnapShot) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
addSnapShot(SnapShot.Builder) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
addSnapShot(int, SnapShot.Builder) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
addSnapShotBuilder() - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
addSnapShotBuilder(int) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
addSourceFiles(DebuggedSourceFile) - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder: A collection of source code files.
addSourceFiles(int, DebuggedSourceFile) - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder: A collection of source code files.
addSourceFiles(DebuggedSourceFile.Builder) - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder: A collection of source code files.
addSourceFiles(int, DebuggedSourceFile.Builder) - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder: A collection of source code files.
addSourceFilesBuilder() - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder: A collection of source code files.
addSourceFilesBuilder(int) - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder: A collection of source code files.
AddSparseToTensorsMap - Class in org.tensorflow.op.sparse: Add a SparseTensor to a SparseTensorsMap return its handle.
AddSparseToTensorsMap(Operation) - Constructor for class org.tensorflow.op.sparse.AddSparseToTensorsMap
addSparseToTensorsMap(Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>, AddSparseToTensorsMap.Options...) - Method in class org.tensorflow.op.SparseOps: Add a SparseTensor to a SparseTensorsMap return its handle.
AddSparseToTensorsMap.Inputs - Class in org.tensorflow.op.sparse
AddSparseToTensorsMap.Options - Class in org.tensorflow.op.sparse: Optional attributes for AddSparseToTensorsMap
addStackFrameIds(String) - Method in class org.tensorflow.proto.util.CodeLocation.Builder: ID to a stack frame, each of which is pointed to by a unique ID.
addStackFrameIdsBytes(ByteString) - Method in class org.tensorflow.proto.util.CodeLocation.Builder: ID to a stack frame, each of which is pointed to by a unique ID.
addStats(XStat) - Method in class org.tensorflow.proto.profiler.XEvent.Builder: XStats associated with the event.
addStats(int, XStat) - Method in class org.tensorflow.proto.profiler.XEvent.Builder: XStats associated with the event.
addStats(XStat.Builder) - Method in class org.tensorflow.proto.profiler.XEvent.Builder: XStats associated with the event.
addStats(int, XStat.Builder) - Method in class org.tensorflow.proto.profiler.XEvent.Builder: XStats associated with the event.
addStats(XStat) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
addStats(int, XStat) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
addStats(XStat.Builder) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
addStats(int, XStat.Builder) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
addStats(XStat) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XStats associated with this plane, e.g.
addStats(int, XStat) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XStats associated with this plane, e.g.
addStats(XStat.Builder) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XStats associated with this plane, e.g.
addStats(int, XStat.Builder) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XStats associated with this plane, e.g.
addStatsBuilder() - Method in class org.tensorflow.proto.profiler.XEvent.Builder: XStats associated with the event.
addStatsBuilder(int) - Method in class org.tensorflow.proto.profiler.XEvent.Builder: XStats associated with the event.
addStatsBuilder() - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
addStatsBuilder(int) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
addStatsBuilder() - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XStats associated with this plane, e.g.
addStatsBuilder(int) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XStats associated with this plane, e.g.
addStringVal(ByteString) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_STRING
addTags(String) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: User supplied tag(s) on the meta_graph and included graph_def.
addTagsBytes(ByteString) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: User supplied tag(s) on the meta_graph and included graph_def.
addTarget(String) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Target Nodes.
addTarget(String) - Method in class org.tensorflow.Session.Runner: Make Session.Runner.run() execute operation, but not return any evaluated Tensors.
addTarget(Operation) - Method in class org.tensorflow.Session.Runner: Make Session.Runner.run() execute operation, but not return any evaluated Tensors.
addTarget(Op) - Method in class org.tensorflow.Session.Runner: Make Session.Runner.run() execute op, but not return any evaluated Tensors.
addTargetBytes(ByteString) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Target Nodes.
addTensor(TensorProto) - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
addTensor(int, TensorProto) - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
addTensor(TensorProto.Builder) - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
addTensor(int, TensorProto.Builder) - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
addTensor(TensorProto) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(tensor)"
addTensor(int, TensorProto) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(tensor)"
addTensor(TensorProto.Builder) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(tensor)"
addTensor(int, TensorProto.Builder) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(tensor)"
addTensor(SavedSliceMeta) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
addTensor(int, SavedSliceMeta) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
addTensor(SavedSliceMeta.Builder) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
addTensor(int, SavedSliceMeta.Builder) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
addTensorBuilder() - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
addTensorBuilder(int) - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
addTensorBuilder() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(tensor)"
addTensorBuilder(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(tensor)"
addTensorBuilder() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
addTensorBuilder(int) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
addTensorConnection(TensorConnection) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Tensors to be connected in the callable.
addTensorConnection(int, TensorConnection) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Tensors to be connected in the callable.
addTensorConnection(TensorConnection.Builder) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Tensors to be connected in the callable.
addTensorConnection(int, TensorConnection.Builder) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Tensors to be connected in the callable.
addTensorConnectionBuilder() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Tensors to be connected in the callable.
addTensorConnectionBuilder(int) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Tensors to be connected in the callable.
addTensorContent(ByteString) - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra.Builder: repeated bytes tensor_content = 1;
addTensorMetadata(TensorMetadata) - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
addTensorMetadata(int, TensorMetadata) - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
addTensorMetadata(TensorMetadata.Builder) - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
addTensorMetadata(int, TensorMetadata.Builder) - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
addTensorMetadataBuilder() - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
addTensorMetadataBuilder(int) - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
addTensorProtos(TensorProto) - Method in class org.tensorflow.proto.util.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
addTensorProtos(int, TensorProto) - Method in class org.tensorflow.proto.util.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
addTensorProtos(TensorProto.Builder) - Method in class org.tensorflow.proto.util.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
addTensorProtos(int, TensorProto.Builder) - Method in class org.tensorflow.proto.util.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
addTensorProtosBuilder() - Method in class org.tensorflow.proto.util.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
addTensorProtosBuilder(int) - Method in class org.tensorflow.proto.util.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
addTensors(TensorProto) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
addTensors(int, TensorProto) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
addTensors(TensorProto.Builder) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
addTensors(int, TensorProto.Builder) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
addTensorsBuilder() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
addTensorsBuilder(int) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
addType(DataType) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(type)"
addTypeValue(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(type)"
addUint32Val(int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_UINT32
addUint64Val(long) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_UINT64
addValue(ByteString) - Method in class org.tensorflow.proto.example.BytesList.Builder: repeated bytes value = 1;
addValue(float) - Method in class org.tensorflow.proto.example.FloatList.Builder: repeated float value = 1 [packed = true];
addValue(long) - Method in class org.tensorflow.proto.example.Int64List.Builder: repeated int64 value = 1 [packed = true];
addValue(Any) - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
addValue(int, Any) - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
addValue(Any.Builder) - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
addValue(int, Any.Builder) - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
addValue(ByteString) - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList.Builder: repeated bytes value = 1;
addValue(float) - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList.Builder: repeated float value = 1 [packed = true];
addValue(long) - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List.Builder: repeated int64 value = 1 [packed = true];
addValue(String) - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList.Builder: repeated string value = 1;
addValue(Summary.Value) - Method in class org.tensorflow.proto.framework.Summary.Builder: Set of values for the summary.
addValue(int, Summary.Value) - Method in class org.tensorflow.proto.framework.Summary.Builder: Set of values for the summary.
addValue(Summary.Value.Builder) - Method in class org.tensorflow.proto.framework.Summary.Builder: Set of values for the summary.
addValue(int, Summary.Value.Builder) - Method in class org.tensorflow.proto.framework.Summary.Builder: Set of values for the summary.
addValueBuilder() - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
addValueBuilder(int) - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
addValueBuilder() - Method in class org.tensorflow.proto.framework.Summary.Builder: Set of values for the summary.
addValueBuilder(int) - Method in class org.tensorflow.proto.framework.Summary.Builder: Set of values for the summary.
addValueBytes(ByteString) - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList.Builder: repeated string value = 1;
addValues(StructuredValue) - Method in class org.tensorflow.proto.framework.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
addValues(int, StructuredValue) - Method in class org.tensorflow.proto.framework.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
addValues(StructuredValue.Builder) - Method in class org.tensorflow.proto.framework.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
addValues(int, StructuredValue.Builder) - Method in class org.tensorflow.proto.framework.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
addValues(PairValue) - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
addValues(int, PairValue) - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
addValues(PairValue.Builder) - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
addValues(int, PairValue.Builder) - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
addValues(StructuredValue) - Method in class org.tensorflow.proto.framework.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
addValues(int, StructuredValue) - Method in class org.tensorflow.proto.framework.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
addValues(StructuredValue.Builder) - Method in class org.tensorflow.proto.framework.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
addValues(int, StructuredValue.Builder) - Method in class org.tensorflow.proto.framework.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
addValues(String) - Method in class org.tensorflow.proto.framework.ValuesDef.Builder: Value names that have been seen in this context.
addValuesBuilder() - Method in class org.tensorflow.proto.framework.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
addValuesBuilder(int) - Method in class org.tensorflow.proto.framework.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
addValuesBuilder() - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
addValuesBuilder(int) - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
addValuesBuilder() - Method in class org.tensorflow.proto.framework.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
addValuesBuilder(int) - Method in class org.tensorflow.proto.framework.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
addValuesBytes(ByteString) - Method in class org.tensorflow.proto.framework.ValuesDef.Builder: Value names that have been seen in this context.
addVariantVal(VariantTensorDataProto) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_VARIANT
addVariantVal(int, VariantTensorDataProto) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_VARIANT
addVariantVal(VariantTensorDataProto.Builder) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_VARIANT
addVariantVal(int, VariantTensorDataProto.Builder) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_VARIANT
addVariantValBuilder() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_VARIANT
addVariantValBuilder(int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_VARIANT
addVarOffset(long) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder: Offset of this variable into the full variable.
addVarShape(long) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder: Shape of this variable.
addVirtualDevices(GPUOptions.Experimental.VirtualDevices) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
addVirtualDevices(int, GPUOptions.Experimental.VirtualDevices) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
addVirtualDevices(GPUOptions.Experimental.VirtualDevices.Builder) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
addVirtualDevices(int, GPUOptions.Experimental.VirtualDevices.Builder) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
addVirtualDevicesBuilder() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
addVirtualDevicesBuilder(int) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
addWarnings(String) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: Warnings (if any) in the generation of planes;
addWarningsBytes(ByteString) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: Warnings (if any) in the generation of planes;
addWorkerAddresses(String) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: (Optional.) If the job uses auto-sharding, it needs to specify a fixed list of worker addresses that will register with the dispatcher.
addWorkerAddressesBytes(ByteString) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: (Optional.) If the job uses auto-sharding, it needs to specify a fixed list of worker addresses that will register with the dispatcher.
addWorkerLog(Event) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
addWorkerLog(int, Event) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
addWorkerLog(Event.Builder) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
addWorkerLog(int, Event.Builder) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
addWorkerLogBuilder() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
addWorkerLogBuilder(int) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
addWorkerTags(String) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: Tags attached to the worker.
addWorkerTagsBytes(ByteString) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: Tags attached to the worker.
adjoint(Boolean) - Static method in class org.tensorflow.op.linalg.BandedTriangularSolve: Sets the adjoint option.
adjoint - Variable in class org.tensorflow.op.linalg.BandedTriangularSolve.Inputs: The adjoint attribute
adjoint(Boolean) - Method in class org.tensorflow.op.linalg.BandedTriangularSolve.Options: Sets the adjoint option.
adjoint(Boolean) - Static method in class org.tensorflow.op.linalg.BatchMatrixInverse: Sets the adjoint option.
adjoint - Variable in class org.tensorflow.op.linalg.BatchMatrixInverse.Inputs: The adjoint attribute
adjoint(Boolean) - Method in class org.tensorflow.op.linalg.BatchMatrixInverse.Options: Sets the adjoint option.
adjoint(Boolean) - Static method in class org.tensorflow.op.linalg.BatchMatrixSolve: Sets the adjoint option.
adjoint - Variable in class org.tensorflow.op.linalg.BatchMatrixSolve.Inputs: The adjoint attribute
adjoint(Boolean) - Method in class org.tensorflow.op.linalg.BatchMatrixSolve.Options: Sets the adjoint option.
adjoint(Boolean) - Static method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve: Sets the adjoint option.
adjoint - Variable in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve.Inputs: The adjoint attribute
adjoint(Boolean) - Method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve.Options: Sets the adjoint option.
adjoint(Boolean) - Static method in class org.tensorflow.op.linalg.Inv: Sets the adjoint option.
adjoint - Variable in class org.tensorflow.op.linalg.Inv.Inputs: The adjoint attribute
adjoint(Boolean) - Method in class org.tensorflow.op.linalg.Inv.Options: Sets the adjoint option.
adjoint(Boolean) - Static method in class org.tensorflow.op.linalg.Solve: Sets the adjoint option.
adjoint - Variable in class org.tensorflow.op.linalg.Solve.Inputs: Boolean indicating whether to solve with `matrix` or its (block-wise) adjoint.
adjoint(Boolean) - Method in class org.tensorflow.op.linalg.Solve.Options: Sets the adjoint option.
adjoint(Boolean) - Static method in class org.tensorflow.op.linalg.TriangularSolve: Sets the adjoint option.
adjoint - Variable in class org.tensorflow.op.linalg.TriangularSolve.Inputs: Boolean indicating whether to solve with `matrix` or its (block-wise) adjoint.
adjoint(Boolean) - Method in class org.tensorflow.op.linalg.TriangularSolve.Options: Sets the adjoint option.
adjoint(Boolean) - Static method in class org.tensorflow.op.risc.RiscTriangularSolve: Sets the adjoint option.
adjoint - Variable in class org.tensorflow.op.risc.RiscTriangularSolve.Inputs: The adjoint attribute
adjoint(Boolean) - Method in class org.tensorflow.op.risc.RiscTriangularSolve.Options: Sets the adjoint option.
adjointA(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul: Sets the adjointA option.
adjointA - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs: Indicates whether `a` should be conjugate-transposed.
adjointA(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Options: Sets the adjointA option.
adjointA(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul: Sets the adjointA option.
adjointA - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Inputs: Indicates whether `a` should be conjugate-transposed.
adjointA(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Options: Sets the adjointA option.
adjointA(Boolean) - Static method in class org.tensorflow.op.sparse.SparseTensorDenseMatMul: Sets the adjointA option.
adjointA - Variable in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Inputs: Use the adjoint of A in the matrix multiply.
adjointA(Boolean) - Method in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Options: Sets the adjointA option.
adjointB(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul: Sets the adjointB option.
adjointB - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs: Indicates whether `b` should be conjugate-transposed.
adjointB(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Options: Sets the adjointB option.
adjointB(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul: Sets the adjointB option.
adjointB - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Inputs: Indicates whether `b` should be conjugate-transposed.
adjointB(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Options: Sets the adjointB option.
adjointB(Boolean) - Static method in class org.tensorflow.op.sparse.SparseTensorDenseMatMul: Sets the adjointB option.
adjointB - Variable in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Inputs: Use the adjoint of B in the matrix multiply.
adjointB(Boolean) - Method in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Options: Sets the adjointB option.
AdjustContrast<T extends TNumber> - Class in org.tensorflow.op.image: Adjust the contrast of one or more images.
AdjustContrast(Operation) - Constructor for class org.tensorflow.op.image.AdjustContrast
adjustContrast(Operand<T>, Operand<TFloat32>) - Method in class org.tensorflow.op.ImageOps: Adjust the contrast of one or more images.
AdjustContrast.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
AdjustHue<T extends TNumber> - Class in org.tensorflow.op.image: Adjust the hue of one or more images.
AdjustHue(Operation) - Constructor for class org.tensorflow.op.image.AdjustHue
adjustHue(Operand<T>, Operand<TFloat32>) - Method in class org.tensorflow.op.ImageOps: Adjust the hue of one or more images.
AdjustHue.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
AdjustSaturation<T extends TNumber> - Class in org.tensorflow.op.image: Adjust the saturation of one or more images.
AdjustSaturation(Operation) - Constructor for class org.tensorflow.op.image.AdjustSaturation
adjustSaturation(Operand<T>, Operand<TFloat32>) - Method in class org.tensorflow.op.ImageOps: Adjust the saturation of one or more images.
AdjustSaturation.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
adjX(Boolean) - Static method in class org.tensorflow.op.train.BatchMatMul: Sets the adjX option.
adjX - Variable in class org.tensorflow.op.train.BatchMatMul.Inputs: If `True`, adjoint the slices of `x`.
adjX(Boolean) - Method in class org.tensorflow.op.train.BatchMatMul.Options: Sets the adjX option.
adjY(Boolean) - Static method in class org.tensorflow.op.train.BatchMatMul: Sets the adjY option.
adjY - Variable in class org.tensorflow.op.train.BatchMatMul.Inputs: If `True`, adjoint the slices of `y`.
adjY(Boolean) - Method in class org.tensorflow.op.train.BatchMatMul.Options: Sets the adjY option.
AGGREGATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedVariable
AGGREGATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.VariableDef
aggregationWeights - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: A list of rank 1 Tensors containing per training example aggregation weights.
aggregationWeights - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs: A list of rank 1 Tensors containing per sample -- i.e.
aggregationWeights - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: A list of rank 1 Tensors containing per training example aggregation weights.
AGGRESSIVE_VALUE - Static variable in enum org.tensorflow.proto.framework.RewriterConfig.Toggle: Enable some aggressive optimizations that use assumptions that TF graphs may break.
aIndices - Variable in class org.tensorflow.op.sparse.SparseAdd.Inputs: 2-D.
aIndices - Variable in class org.tensorflow.op.sparse.SparseAddGrad.Inputs: 2-D.
aIndices - Variable in class org.tensorflow.op.sparse.SparseSparseMaximum.Inputs: 2-D.
aIndices - Variable in class org.tensorflow.op.sparse.SparseSparseMinimum.Inputs: 2-D.
aIndices - Variable in class org.tensorflow.op.sparse.SparseTensorDenseAdd.Inputs: 2-D.
aIndices - Variable in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Inputs: 2-D.
aIsSparse(Boolean) - Static method in class org.tensorflow.op.sparse.SparseMatMul: Sets the aIsSparse option.
aIsSparse - Variable in class org.tensorflow.op.sparse.SparseMatMul.Inputs: The aIsSparse attribute
aIsSparse(Boolean) - Method in class org.tensorflow.op.sparse.SparseMatMul.Options: Sets the aIsSparse option.
alg - Variable in class org.tensorflow.op.random.RngReadAndSkip.Inputs: The RNG algorithm.
alg() - Method in class org.tensorflow.op.random.StatelessRandomGetAlg: Gets alg.
alg() - Method in class org.tensorflow.op.random.StatelessRandomGetKeyCounterAlg: Gets alg.
alg - Variable in class org.tensorflow.op.random.StatelessRandomNormalV2.Inputs: The RNG algorithm (shape int32[]).
alg - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2.Inputs: The RNG algorithm (shape int32[]).
alg - Variable in class org.tensorflow.op.random.StatelessRandomUniformIntV2.Inputs: The RNG algorithm (shape int32[]).
alg - Variable in class org.tensorflow.op.random.StatelessRandomUniformV2.Inputs: The RNG algorithm (shape int32[]).
alg - Variable in class org.tensorflow.op.random.StatelessTruncatedNormalV2.Inputs: The RNG algorithm (shape int32[]).
algorithm(Long) - Static method in class org.tensorflow.op.data.ModelDataset: Sets the algorithm option.
algorithm - Variable in class org.tensorflow.op.data.ModelDataset.Inputs: The algorithm attribute
algorithm(Long) - Method in class org.tensorflow.op.data.ModelDataset.Options: Sets the algorithm option.
algorithm - Variable in class org.tensorflow.op.random.RngSkip.Inputs: The RNG algorithm.
algorithm - Variable in class org.tensorflow.op.random.StatefulRandomBinomial.Inputs: The algorithm input
algorithm - Variable in class org.tensorflow.op.random.StatefulStandardNormal.Inputs: The RNG algorithm.
algorithm - Variable in class org.tensorflow.op.random.StatefulTruncatedNormal.Inputs: The RNG algorithm.
algorithm - Variable in class org.tensorflow.op.random.StatefulUniform.Inputs: The RNG algorithm.
algorithm - Variable in class org.tensorflow.op.random.StatefulUniformFullInt.Inputs: The RNG algorithm.
algorithm - Variable in class org.tensorflow.op.random.StatefulUniformInt.Inputs: The RNG algorithm.
algorithm - Variable in class org.tensorflow.op.xla.RngBitGenerator.Inputs: The PRNG algorithm to use, one of tf.random.Algorithm.{PHILOX, THREEFRY, AUTO_SELECT}.
ALGORITHM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
ALIAS_INPUT_PORT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
align(String) - Static method in class org.tensorflow.op.linalg.MatrixDiagPartV3: Sets the align option.
align - Variable in class org.tensorflow.op.linalg.MatrixDiagPartV3.Inputs: Some diagonals are shorter than `max_diag_len` and need to be padded.
align(String) - Method in class org.tensorflow.op.linalg.MatrixDiagPartV3.Options: Sets the align option.
align(String) - Static method in class org.tensorflow.op.linalg.MatrixDiagV3: Sets the align option.
align - Variable in class org.tensorflow.op.linalg.MatrixDiagV3.Inputs: Some diagonals are shorter than `max_diag_len` and need to be padded.
align(String) - Method in class org.tensorflow.op.linalg.MatrixDiagV3.Options: Sets the align option.
align(String) - Static method in class org.tensorflow.op.linalg.MatrixSetDiag: Sets the align option.
align - Variable in class org.tensorflow.op.linalg.MatrixSetDiag.Inputs: Some diagonals are shorter than `max_diag_len` and need to be padded.
align(String) - Method in class org.tensorflow.op.linalg.MatrixSetDiag.Options: Sets the align option.
alignCorners(Boolean) - Static method in class org.tensorflow.op.image.QuantizedResizeBilinear: Sets the alignCorners option.
alignCorners - Variable in class org.tensorflow.op.image.QuantizedResizeBilinear.Inputs: If true, the centers of the 4 corner pixels of the input and output tensors are aligned, preserving the values at the corner pixels.
alignCorners(Boolean) - Method in class org.tensorflow.op.image.QuantizedResizeBilinear.Options: Sets the alignCorners option.
alignCorners(Boolean) - Static method in class org.tensorflow.op.image.ResizeArea: Sets the alignCorners option.
alignCorners - Variable in class org.tensorflow.op.image.ResizeArea.Inputs: If true, the centers of the 4 corner pixels of the input and output tensors are aligned, preserving the values at the corner pixels.
alignCorners(Boolean) - Method in class org.tensorflow.op.image.ResizeArea.Options: Sets the alignCorners option.
alignCorners(Boolean) - Static method in class org.tensorflow.op.image.ResizeBicubic: Sets the alignCorners option.
alignCorners - Variable in class org.tensorflow.op.image.ResizeBicubic.Inputs: If true, the centers of the 4 corner pixels of the input and output tensors are aligned, preserving the values at the corner pixels.
alignCorners(Boolean) - Method in class org.tensorflow.op.image.ResizeBicubic.Options: Sets the alignCorners option.
alignCorners(Boolean) - Static method in class org.tensorflow.op.image.ResizeBicubicGrad: Sets the alignCorners option.
alignCorners - Variable in class org.tensorflow.op.image.ResizeBicubicGrad.Inputs: If true, the centers of the 4 corner pixels of the input and grad tensors are aligned.
alignCorners(Boolean) - Method in class org.tensorflow.op.image.ResizeBicubicGrad.Options: Sets the alignCorners option.
alignCorners(Boolean) - Static method in class org.tensorflow.op.image.ResizeBilinear: Sets the alignCorners option.
alignCorners - Variable in class org.tensorflow.op.image.ResizeBilinear.Inputs: If true, the centers of the 4 corner pixels of the input and output tensors are aligned, preserving the values at the corner pixels.
alignCorners(Boolean) - Method in class org.tensorflow.op.image.ResizeBilinear.Options: Sets the alignCorners option.
alignCorners(Boolean) - Static method in class org.tensorflow.op.image.ResizeBilinearGrad: Sets the alignCorners option.
alignCorners - Variable in class org.tensorflow.op.image.ResizeBilinearGrad.Inputs: If true, the centers of the 4 corner pixels of the input and grad tensors are aligned.
alignCorners(Boolean) - Method in class org.tensorflow.op.image.ResizeBilinearGrad.Options: Sets the alignCorners option.
alignCorners(Boolean) - Static method in class org.tensorflow.op.image.ResizeNearestNeighbor: Sets the alignCorners option.
alignCorners - Variable in class org.tensorflow.op.image.ResizeNearestNeighbor.Inputs: If true, the centers of the 4 corner pixels of the input and output tensors are aligned, preserving the values at the corner pixels.
alignCorners(Boolean) - Method in class org.tensorflow.op.image.ResizeNearestNeighbor.Options: Sets the alignCorners option.
alignCorners(Boolean) - Static method in class org.tensorflow.op.image.ResizeNearestNeighborGrad: Sets the alignCorners option.
alignCorners - Variable in class org.tensorflow.op.image.ResizeNearestNeighborGrad.Inputs: If true, the centers of the 4 corner pixels of the input and grad tensors are aligned.
alignCorners(Boolean) - Method in class org.tensorflow.op.image.ResizeNearestNeighborGrad.Options: Sets the alignCorners option.
All - Class in org.tensorflow.op.core: Computes the "logical and" of elements across dimensions of a tensor.
All(Operation) - Constructor for class org.tensorflow.op.core.All
all(Operand<TBool>, Operand<? extends TNumber>, All.Options...) - Method in class org.tensorflow.op.Ops: Computes the "logical and" of elements across dimensions of a tensor.
All.Inputs - Class in org.tensorflow.op.core
All.Options - Class in org.tensorflow.op.core: Optional attributes for All
ALL_END_REL_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NodeExecStats
ALL_END_REL_NANOS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NodeExecStats
ALL_START_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NodeExecStats
ALL_START_NANOS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NodeExecStats
AllCandidateSampler - Class in org.tensorflow.op.random: Generates labels for candidate sampling with a learned unigram distribution.
AllCandidateSampler(Operation) - Constructor for class org.tensorflow.op.random.AllCandidateSampler
allCandidateSampler(Operand<TInt64>, Long, Long, Boolean, AllCandidateSampler.Options...) - Method in class org.tensorflow.op.RandomOps: Generates labels for candidate sampling with a learned unigram distribution.
AllCandidateSampler.Inputs - Class in org.tensorflow.op.random
AllCandidateSampler.Options - Class in org.tensorflow.op.random: Optional attributes for AllCandidateSampler
ALLOC_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AllocationRecord
ALLOC_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AllocationRecord
ALLOCATED_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AllocationDescription
allocateTensor(int, long[], long) - Static method in class org.tensorflow.internal.c_api.AbstractTF_Tensor: Calls TF_AllocateTensor(), and registers a deallocator.
ALLOCATION_DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorDescription
ALLOCATION_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AllocationDescription
ALLOCATION_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MemoryLogRawAllocation
ALLOCATION_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
ALLOCATION_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
ALLOCATION_RECORDS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AllocatorMemoryUsed
AllocationDescription - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.AllocationDescription
AllocationDescription.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.AllocationDescription
AllocationDescriptionOrBuilder - Interface in org.tensorflow.proto.framework
AllocationDescriptionProtos - Class in org.tensorflow.proto.framework
AllocationRecord - Class in org.tensorflow.proto.framework: An allocation/de-allocation operation performed by the allocator.
AllocationRecord.Builder - Class in org.tensorflow.proto.framework: An allocation/de-allocation operation performed by the allocator.
AllocationRecordOrBuilder - Interface in org.tensorflow.proto.framework
ALLOCATOR_BYTES_IN_USE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AllocatorMemoryUsed
ALLOCATOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AllocationDescription
ALLOCATOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AllocatorMemoryUsed
ALLOCATOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MemoryLogRawAllocation
ALLOCATOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
ALLOCATOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
ALLOCATOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.MemoryDump
ALLOCATOR_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GPUOptions
AllocatorMemoryUsed - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.AllocatorMemoryUsed
AllocatorMemoryUsed.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.AllocatorMemoryUsed
AllocatorMemoryUsedOrBuilder - Interface in org.tensorflow.proto.framework
ALLOW_GROWTH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GPUOptions
ALLOW_SOFT_PLACEMENT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto
ALLOWED_POSITIONAL_ARGUMENTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedBareConcreteFunction
ALLOWED_VALUES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
ALLOWED_VALUES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef.AttrDef
allowedBatchSizes(List<Long>) - Static method in class org.tensorflow.op.core.Batch: Sets the allowedBatchSizes option.
allowedBatchSizes(Long...) - Static method in class org.tensorflow.op.core.Batch: Sets the allowedBatchSizes option.
allowedBatchSizes - Variable in class org.tensorflow.op.core.Batch.Inputs: The allowedBatchSizes attribute
allowedBatchSizes(List<Long>) - Method in class org.tensorflow.op.core.Batch.Options: Sets the allowedBatchSizes option.
allowedBatchSizes(Long...) - Method in class org.tensorflow.op.core.Batch.Options: Sets the allowedBatchSizes option.
allowedBatchSizes(List<Long>) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the allowedBatchSizes option.
allowedBatchSizes(Long...) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the allowedBatchSizes option.
allowedBatchSizes - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: Optional list of allowed batch sizes.
allowedBatchSizes(List<Long>) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the allowedBatchSizes option.
allowedBatchSizes(Long...) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the allowedBatchSizes option.
allowedDevices(List<String>) - Static method in class org.tensorflow.op.core.VarHandleOp: Sets the allowedDevices option.
allowedDevices(String...) - Static method in class org.tensorflow.op.core.VarHandleOp: Sets the allowedDevices option.
allowedDevices - Variable in class org.tensorflow.op.core.VarHandleOp.Inputs: DEPRECATED.
allowedDevices(List<String>) - Method in class org.tensorflow.op.core.VarHandleOp.Options: Sets the allowedDevices option.
allowedDevices(String...) - Method in class org.tensorflow.op.core.VarHandleOp.Options: Sets the allowedDevices option.
ALLOWS_UNINITIALIZED_INPUT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef
allowSmallBatch(Boolean) - Static method in class org.tensorflow.op.core.BarrierTakeMany: Sets the allowSmallBatch option.
allowSmallBatch - Variable in class org.tensorflow.op.core.BarrierTakeMany.Inputs: Allow to return less than num_elements items if barrier is already closed.
allowSmallBatch(Boolean) - Method in class org.tensorflow.op.core.BarrierTakeMany.Options: Sets the allowSmallBatch option.
allowSoftPlacement(Boolean) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the allowSoftPlacement option.
allowSoftPlacement - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: The allowSoftPlacement attribute
allowSoftPlacement(Boolean) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the allowSoftPlacement option.
allowSoftPlacement(Boolean) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the allowSoftPlacement option.
allowSoftPlacement - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

The allowSoftPlacement attribute
allowSoftPlacement(Boolean) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the allowSoftPlacement option.
AllReduce<T extends TNumber> - Class in org.tensorflow.op.xla: Wraps the XLA AllReduce operator documented at https://www.tensorflow.org/xla/operation_semantics#allreduce.
AllReduce(Operation) - Constructor for class org.tensorflow.op.xla.AllReduce
allReduce(Operand<T>, Operand<TInt32>, String) - Method in class org.tensorflow.op.XlaOps: Wraps the XLA AllReduce operator documented at https://www.tensorflow.org/xla/operation_semantics#allreduce.
AllReduce.Inputs<T extends TNumber> - Class in org.tensorflow.op.xla
AllToAll<T extends TType> - Class in org.tensorflow.op.tpu: An Op to exchange data across TPU replicas.
AllToAll(Operation) - Constructor for class org.tensorflow.op.tpu.AllToAll
AllToAll.Inputs<T extends TType> - Class in org.tensorflow.op.tpu
alpha(Float) - Static method in class org.tensorflow.op.data.LeakyReluGrad: Sets the alpha option.
alpha - Variable in class org.tensorflow.op.data.LeakyReluGrad.Inputs: The alpha attribute
alpha(Float) - Method in class org.tensorflow.op.data.LeakyReluGrad.Options: Sets the alpha option.
alpha - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixAdd.Inputs: A constant scalar.
alpha(Float) - Static method in class org.tensorflow.op.nn.LeakyRelu: Sets the alpha option.
alpha - Variable in class org.tensorflow.op.nn.LeakyRelu.Inputs: The alpha attribute
alpha(Float) - Method in class org.tensorflow.op.nn.LeakyRelu.Options: Sets the alpha option.
alpha(Float) - Static method in class org.tensorflow.op.nn.LocalResponseNormalization: Sets the alpha option.
alpha - Variable in class org.tensorflow.op.nn.LocalResponseNormalization.Inputs: A scale factor, usually positive.
alpha(Float) - Method in class org.tensorflow.op.nn.LocalResponseNormalization.Options: Sets the alpha option.
alpha(Float) - Static method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad: Sets the alpha option.
alpha - Variable in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Inputs: A scale factor, usually positive.
alpha(Float) - Method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Options: Sets the alpha option.
alpha - Variable in class org.tensorflow.op.random.RandomGamma.Inputs: A tensor in which each scalar is a "shape" parameter describing the associated gamma distribution.
alpha - Variable in class org.tensorflow.op.random.RandomGammaGrad.Inputs: The alpha input
alpha - Variable in class org.tensorflow.op.random.StatelessRandomGamma.Inputs: The concentration of the gamma distribution.
alpha - Variable in class org.tensorflow.op.train.ApplyAddSign.Inputs: Must be a scalar.
alpha - Variable in class org.tensorflow.op.train.ApplyGradientDescent.Inputs: Scaling factor.
alpha - Variable in class org.tensorflow.op.train.ApplyProximalGradientDescent.Inputs: Scaling factor.
alpha - Variable in class org.tensorflow.op.train.ResourceApplyAddSign.Inputs: Must be a scalar.
alpha - Variable in class org.tensorflow.op.train.ResourceApplyGradientDescent.Inputs: Scaling factor.
alpha - Variable in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Inputs: Scaling factor.
alpha - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs: Scaling factor.
alpha - Variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs: Scaling factor.
ALREADY_EXISTS_VALUE - Static variable in enum org.tensorflow.proto.framework.Code: Some entity that we attempted to create (e.g., file or directory) already exists.
ancestors - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: A list of names of HostCompute computations that must be sequenced before this computation.
anchors - Variable in class org.tensorflow.op.image.GenerateBoundingBoxProposals.Inputs: A 2-D float tensor of shape [num_anchors, 4] describing the anchor boxes.
ANDROID_BENCHMARK_VALUE - Static variable in enum org.tensorflow.proto.util.testlog.TestResults.BenchmarkType: ANDROID_BENCHMARK = 3;
Angle - Class in org.tensorflow.op.math: Returns the argument of a complex number.
Angle(Operation) - Constructor for class org.tensorflow.op.math.Angle
angle(Operand<? extends TType>) - Method in class org.tensorflow.op.MathOps: Returns the argument of a complex number.
angle(Operand<? extends TType>, Class) - Method in class org.tensorflow.op.MathOps: Returns the argument of a complex number.
Angle.Inputs - Class in org.tensorflow.op.math
AnonymousHashTable - Class in org.tensorflow.op.core: Creates a uninitialized anonymous hash table.
AnonymousHashTable(Operation) - Constructor for class org.tensorflow.op.core.AnonymousHashTable
AnonymousHashTable.Inputs - Class in org.tensorflow.op.core
AnonymousIterator - Class in org.tensorflow.op.data: A container for an iterator resource.
AnonymousIterator(Operation) - Constructor for class org.tensorflow.op.data.AnonymousIterator
anonymousIterator(List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: A container for an iterator resource.
AnonymousIterator.Inputs - Class in org.tensorflow.op.data
AnonymousMemoryCache - Class in org.tensorflow.op.data: The AnonymousMemoryCache operation
AnonymousMemoryCache(Operation) - Constructor for class org.tensorflow.op.data.AnonymousMemoryCache
AnonymousMemoryCache.Inputs - Class in org.tensorflow.op.data
AnonymousMultiDeviceIterator - Class in org.tensorflow.op.data: A container for a multi device iterator resource.
AnonymousMultiDeviceIterator(Operation) - Constructor for class org.tensorflow.op.data.AnonymousMultiDeviceIterator
AnonymousMultiDeviceIterator.Inputs - Class in org.tensorflow.op.data
AnonymousRandomSeedGenerator - Class in org.tensorflow.op.random: The AnonymousRandomSeedGenerator operation
AnonymousRandomSeedGenerator(Operation) - Constructor for class org.tensorflow.op.random.AnonymousRandomSeedGenerator
AnonymousRandomSeedGenerator.Inputs - Class in org.tensorflow.op.random
AnonymousSeedGenerator - Class in org.tensorflow.op.random: The AnonymousSeedGenerator operation
AnonymousSeedGenerator(Operation) - Constructor for class org.tensorflow.op.random.AnonymousSeedGenerator
AnonymousSeedGenerator.Inputs - Class in org.tensorflow.op.random
anotherDataset - Variable in class org.tensorflow.op.data.ConcatenateDataset.Inputs: The anotherDataset input
antialias(Boolean) - Static method in class org.tensorflow.op.image.ScaleAndTranslate: Sets the antialias option.
antialias - Variable in class org.tensorflow.op.image.ScaleAndTranslate.Inputs: The antialias attribute
antialias(Boolean) - Method in class org.tensorflow.op.image.ScaleAndTranslate.Options: Sets the antialias option.
antialias(Boolean) - Static method in class org.tensorflow.op.image.ScaleAndTranslateGrad: Sets the antialias option.
antialias - Variable in class org.tensorflow.op.image.ScaleAndTranslateGrad.Inputs: The antialias attribute
antialias(Boolean) - Method in class org.tensorflow.op.image.ScaleAndTranslateGrad.Options: Sets the antialias option.
Any - Class in org.tensorflow.op.core: Computes the "logical or" of elements across dimensions of a tensor.
Any(Operation) - Constructor for class org.tensorflow.op.core.Any
any(Operand<TBool>, Operand<? extends TNumber>, Any.Options...) - Method in class org.tensorflow.op.Ops: Computes the "logical or" of elements across dimensions of a tensor.
Any.Inputs - Class in org.tensorflow.op.core
Any.Options - Class in org.tensorflow.op.core: Optional attributes for Any
ANY_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
ANY_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CollectionDef
ApiDef - Class in org.tensorflow.proto.framework: Used to specify and override the default API & behavior in the generated code for client languages, from what you would get from the OpDef alone.
ApiDef.Arg - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.ApiDef.Arg
ApiDef.Arg.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.ApiDef.Arg
ApiDef.ArgOrBuilder - Interface in org.tensorflow.proto.framework
ApiDef.Attr - Class in org.tensorflow.proto.framework: Description of the graph-construction-time configuration of this Op.
ApiDef.Attr.Builder - Class in org.tensorflow.proto.framework: Description of the graph-construction-time configuration of this Op.
ApiDef.AttrOrBuilder - Interface in org.tensorflow.proto.framework
ApiDef.Builder - Class in org.tensorflow.proto.framework: Used to specify and override the default API & behavior in the generated code for client languages, from what you would get from the OpDef alone.
ApiDef.Endpoint - Class in org.tensorflow.proto.framework: If you specify any endpoint, this will replace all of the inherited endpoints.
ApiDef.Endpoint.Builder - Class in org.tensorflow.proto.framework: If you specify any endpoint, this will replace all of the inherited endpoints.
ApiDef.EndpointOrBuilder - Interface in org.tensorflow.proto.framework
ApiDef.Visibility - Enum in org.tensorflow.proto.framework: Protobuf enum tensorflow.ApiDef.Visibility
ApiDefOrBuilder - Interface in org.tensorflow.proto.framework
ApiDefProtos - Class in org.tensorflow.proto.framework
ApiDefs - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.ApiDefs
ApiDefs.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.ApiDefs
ApiDefsOrBuilder - Interface in org.tensorflow.proto.framework
append(Scope, Shape<TInt32>, int) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand containing the dimensions of a shape followed by the last dimension.
append(Scope, Shape<TInt64>, long) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand containing the dimensions of a shape followed by the last dimension.
append(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand that represents a new shape containing the dimensions of the operand representing a shape, followed by the dimensions of an operand representing a shape to append.
append(Shape<TInt64>, long) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand containing the dimensions of a shape followed by the last dimension.
append(Shape<TInt32>, int) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand containing the dimensions of a shape followed by the last dimension.
append(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand that represents a new shape containing the dimensions of the operand representing a shape, followed by the dimensions of an operand representing a shape to append.
apply(OperationBuilder) - Method in class org.tensorflow.op.GradientScope
apply(OperationBuilder) - Method in class org.tensorflow.op.OpScope
apply(OperationBuilder) - Method in interface org.tensorflow.op.Scope: Applies device specification and adds each Operand in controlDependencies as a control input to the provided builder.
APPLY_DEFAULT_OPTIMIZATIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.OptimizationOptions
ApplyAdadelta<T extends TType> - Class in org.tensorflow.op.train: Update '*var' according to the adadelta scheme.
ApplyAdadelta(Operation) - Constructor for class org.tensorflow.op.train.ApplyAdadelta
applyAdadelta(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdadelta.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the adadelta scheme.
ApplyAdadelta.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyAdadelta.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyAdadelta
ApplyAdagrad<T extends TType> - Class in org.tensorflow.op.train: Update '*var' according to the adagrad scheme.
ApplyAdagrad(Operation) - Constructor for class org.tensorflow.op.train.ApplyAdagrad
applyAdagrad(Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the adagrad scheme.
ApplyAdagrad.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyAdagrad.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyAdagrad
ApplyAdagradDa<T extends TType> - Class in org.tensorflow.op.train: Update '*var' according to the proximal adagrad scheme.
ApplyAdagradDa(Operation) - Constructor for class org.tensorflow.op.train.ApplyAdagradDa
applyAdagradDa(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<TInt64>, ApplyAdagradDa.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the proximal adagrad scheme.
ApplyAdagradDa.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyAdagradDa.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyAdagradDa
ApplyAdagradV2<T extends TType> - Class in org.tensorflow.op.train: Update '*var' according to the adagrad scheme.
ApplyAdagradV2(Operation) - Constructor for class org.tensorflow.op.train.ApplyAdagradV2
ApplyAdagradV2.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyAdagradV2.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyAdagradV2
ApplyAdam<T extends TType> - Class in org.tensorflow.op.train: Update '*var' according to the Adam algorithm.
ApplyAdam(Operation) - Constructor for class org.tensorflow.op.train.ApplyAdam
applyAdam(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdam.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the Adam algorithm.
ApplyAdam.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyAdam.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyAdam
ApplyAdaMax<T extends TType> - Class in org.tensorflow.op.train: Update '*var' according to the AdaMax algorithm.
ApplyAdaMax(Operation) - Constructor for class org.tensorflow.op.train.ApplyAdaMax
ApplyAdaMax.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyAdaMax.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyAdaMax
ApplyAddSign<T extends TType> - Class in org.tensorflow.op.train: Update '*var' according to the AddSign update.
ApplyAddSign(Operation) - Constructor for class org.tensorflow.op.train.ApplyAddSign
applyAddSign(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAddSign.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the AddSign update.
ApplyAddSign.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyAddSign.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyAddSign
ApplyCenteredRmsProp<T extends TType> - Class in org.tensorflow.op.train: Update '*var' according to the centered RMSProp algorithm.
ApplyCenteredRmsProp(Operation) - Constructor for class org.tensorflow.op.train.ApplyCenteredRmsProp
applyCenteredRmsProp(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyCenteredRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the centered RMSProp algorithm.
ApplyCenteredRmsProp.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyCenteredRmsProp.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyCenteredRmsProp
ApplyFtrl<T extends TType> - Class in org.tensorflow.op.train: Update '*var' according to the Ftrl-proximal scheme.
ApplyFtrl(Operation) - Constructor for class org.tensorflow.op.train.ApplyFtrl
applyFtrl(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyFtrl.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the Ftrl-proximal scheme.
ApplyFtrl.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyFtrl.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyFtrl
ApplyGradientDescent<T extends TType> - Class in org.tensorflow.op.train: Update '*var' by subtracting 'alpha' * 'delta' from it.
ApplyGradientDescent(Operation) - Constructor for class org.tensorflow.op.train.ApplyGradientDescent
applyGradientDescent(Operand<T>, Operand<T>, Operand<T>, ApplyGradientDescent.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' by subtracting 'alpha' * 'delta' from it.
ApplyGradientDescent.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyGradientDescent.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyGradientDescent
ApplyMomentum<T extends TType> - Class in org.tensorflow.op.train: Update '*var' according to the momentum scheme.
ApplyMomentum(Operation) - Constructor for class org.tensorflow.op.train.ApplyMomentum
applyMomentum(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyMomentum.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the momentum scheme.
ApplyMomentum.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyMomentum.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyMomentum
ApplyPowerSign<T extends TType> - Class in org.tensorflow.op.train: Update '*var' according to the AddSign update.
ApplyPowerSign(Operation) - Constructor for class org.tensorflow.op.train.ApplyPowerSign
applyPowerSign(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyPowerSign.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the AddSign update.
ApplyPowerSign.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyPowerSign.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyPowerSign
ApplyProximalAdagrad<T extends TType> - Class in org.tensorflow.op.train: Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.
ApplyProximalAdagrad(Operation) - Constructor for class org.tensorflow.op.train.ApplyProximalAdagrad
applyProximalAdagrad(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyProximalAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.
ApplyProximalAdagrad.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyProximalAdagrad.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyProximalAdagrad
ApplyProximalGradientDescent<T extends TType> - Class in org.tensorflow.op.train: Update '*var' as FOBOS algorithm with fixed learning rate.
ApplyProximalGradientDescent(Operation) - Constructor for class org.tensorflow.op.train.ApplyProximalGradientDescent
applyProximalGradientDescent(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyProximalGradientDescent.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' as FOBOS algorithm with fixed learning rate.
ApplyProximalGradientDescent.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyProximalGradientDescent.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyProximalGradientDescent
ApplyRmsProp<T extends TType> - Class in org.tensorflow.op.train: Update '*var' according to the RMSProp algorithm.
ApplyRmsProp(Operation) - Constructor for class org.tensorflow.op.train.ApplyRmsProp
applyRmsProp(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the RMSProp algorithm.
ApplyRmsProp.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyRmsProp.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyRmsProp
ApproximateEqual - Class in org.tensorflow.op.math: Returns the truth value of abs(x-y) < tolerance element-wise.
ApproximateEqual(Operation) - Constructor for class org.tensorflow.op.math.ApproximateEqual
approximateEqual(Operand<T>, Operand<T>, ApproximateEqual.Options...) - Method in class org.tensorflow.op.MathOps: Returns the truth value of abs(x-y) < tolerance element-wise.
ApproximateEqual.Inputs<T extends TType> - Class in org.tensorflow.op.math
ApproximateEqual.Options - Class in org.tensorflow.op.math: Optional attributes for ApproximateEqual
areaRange(List<Float>) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Sets the areaRange option.
areaRange(Float...) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Sets the areaRange option.
areaRange - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: The cropped area of the image must contain a fraction of the supplied image within this range.
areaRange(List<Float>) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options: Sets the areaRange option.
areaRange(Float...) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options: Sets the areaRange option.
areaRange(List<Float>) - Static method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Sets the areaRange option.
areaRange(Float...) - Static method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Sets the areaRange option.
areaRange - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: The cropped area of the image must contain a fraction of the supplied image within this range.
areaRange(List<Float>) - Method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Options: Sets the areaRange option.
areaRange(Float...) - Method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Options: Sets the areaRange option.
ARG_ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.FunctionDef
ARG_ORDER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ApiDef
ArgMax<V extends TNumber> - Class in org.tensorflow.op.math: Returns the index with the largest value across dimensions of a tensor.
ArgMax(Operation) - Constructor for class org.tensorflow.op.math.ArgMax
argMax(Operand<? extends TType>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Returns the index with the largest value across dimensions of a tensor.
argMax(Operand<? extends TType>, Operand<? extends TNumber>, Class<V>) - Method in class org.tensorflow.op.MathOps: Returns the index with the largest value across dimensions of a tensor.
argmax - Variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs: The indices of the maximum values chosen for each output of max_pool.
argmax - Variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs: The indices of the maximum values chosen for each output of max_pool.
argmax() - Method in class org.tensorflow.op.nn.MaxPoolWithArgmax: Gets argmax.
ArgMax.Inputs - Class in org.tensorflow.op.math
ArgMin<V extends TNumber> - Class in org.tensorflow.op.math: Returns the index with the smallest value across dimensions of a tensor.
ArgMin(Operation) - Constructor for class org.tensorflow.op.math.ArgMin
argMin(Operand<? extends TType>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Returns the index with the smallest value across dimensions of a tensor.
argMin(Operand<? extends TType>, Operand<? extends TNumber>, Class<V>) - Method in class org.tensorflow.op.MathOps: Returns the index with the smallest value across dimensions of a tensor.
ArgMin.Inputs - Class in org.tensorflow.op.math
args - Variable in class org.tensorflow.op.core.RemoteCall.Inputs: A list of arguments for the function.
args - Variable in class org.tensorflow.op.core.StatefulPartitionedCall.Inputs: A list of input tensors.
args - Variable in class org.tensorflow.op.core.StatelessPartitionedCall.Inputs: A list of input tensors.
args - Variable in class org.tensorflow.op.tpu.Execute.Inputs: The args input
args - Variable in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables.Inputs: The args input
args - Variable in class org.tensorflow.op.tpu.PartitionedCall.Inputs: The arguments to the function.
args - Variable in class org.tensorflow.op.xla.XlaLaunch.Inputs: The args input
ARGS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.FullTypeDef
ARGUMENT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.RunConfiguration
ARGUMENT_KEYWORDS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedBareConcreteFunction
arguments - Variable in class org.tensorflow.op.core.MapDefun.Inputs: A list of tensors whose types are `Targuments`, corresponding to the inputs the function should be mapped over.
ARITHMETIC_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
arr - Variable in class org.tensorflow.op.math.Bincount.Inputs: int32 Tensor.
array(String...) - Method in class org.tensorflow.op.Ops: Creates a constant of String elements, using the default UTF-8 charset.
array(int...) - Method in class org.tensorflow.op.Ops: Creates a constant of int elements.
array(double...) - Method in class org.tensorflow.op.Ops: Creates a constant of double elements.
array(long...) - Method in class org.tensorflow.op.Ops: Creates a constant of long elements.
array(byte...) - Method in class org.tensorflow.op.Ops: Creates a constant of byte elements.
array(boolean...) - Method in class org.tensorflow.op.Ops: Creates a constant of boolean elements.
array(float...) - Method in class org.tensorflow.op.Ops: Creates a constant of float elements.
array(Charset, String...) - Method in class org.tensorflow.op.Ops: Creates a constant of String elements, using the given charset.
arrayOf(Scope, int...) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of int elements.
arrayOf(Scope, float...) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of float elements.
arrayOf(Scope, double...) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of double elements.
arrayOf(Scope, long...) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of long elements.
arrayOf(Scope, boolean...) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of boolean elements.
arrayOf(Scope, byte...) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of byte elements.
arrayOf(Scope, String...) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of String elements, using the default UTF-8 charset.
arrayOf(Scope, Charset, String...) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of String elements, using the given charset.
asBytes() - Method in interface org.tensorflow.types.TString
aShape - Variable in class org.tensorflow.op.sparse.SparseAdd.Inputs: 1-D.
aShape - Variable in class org.tensorflow.op.sparse.SparseSparseMaximum.Inputs: 1-D.
aShape - Variable in class org.tensorflow.op.sparse.SparseSparseMinimum.Inputs: 1-D.
aShape - Variable in class org.tensorflow.op.sparse.SparseTensorDenseAdd.Inputs: 1-D.
aShape - Variable in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Inputs: 1-D.
Asin<T extends TType> - Class in org.tensorflow.op.math: Computes the trignometric inverse sine of x element-wise.
Asin(Operation) - Constructor for class org.tensorflow.op.math.Asin
asin(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes the trignometric inverse sine of x element-wise.
Asin.Inputs<T extends TType> - Class in org.tensorflow.op.math
Asinh<T extends TType> - Class in org.tensorflow.op.math: Computes inverse hyperbolic sine of x element-wise.
Asinh(Operation) - Constructor for class org.tensorflow.op.math.Asinh
asinh(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes inverse hyperbolic sine of x element-wise.
Asinh.Inputs<T extends TType> - Class in org.tensorflow.op.math
asOutput() - Method in class org.tensorflow.op.audio.AudioSpectrogram
asOutput() - Method in class org.tensorflow.op.audio.EncodeWav
asOutput() - Method in class org.tensorflow.op.audio.Mfcc
asOutput() - Method in class org.tensorflow.op.bitwise.BitwiseAnd
asOutput() - Method in class org.tensorflow.op.bitwise.BitwiseOr
asOutput() - Method in class org.tensorflow.op.bitwise.BitwiseXor
asOutput() - Method in class org.tensorflow.op.bitwise.Invert
asOutput() - Method in class org.tensorflow.op.bitwise.LeftShift
asOutput() - Method in class org.tensorflow.op.bitwise.RightShift
asOutput() - Method in class org.tensorflow.op.cluster.KMC2ChainInitialization
asOutput() - Method in class org.tensorflow.op.cluster.KmeansPlusPlusInitialization
asOutput() - Method in class org.tensorflow.op.collective.CollectiveAllToAll
asOutput() - Method in class org.tensorflow.op.collective.CollectiveBcastRecv
asOutput() - Method in class org.tensorflow.op.collective.CollectiveBcastSend
asOutput() - Method in class org.tensorflow.op.collective.CollectiveGather
asOutput() - Method in class org.tensorflow.op.collective.CollectiveInitializeCommunicator
asOutput() - Method in class org.tensorflow.op.collective.CollectivePermute
asOutput() - Method in class org.tensorflow.op.collective.CollectiveReduce
asOutput() - Method in class org.tensorflow.op.core.All
asOutput() - Method in class org.tensorflow.op.core.AnonymousHashTable
asOutput() - Method in class org.tensorflow.op.core.Any
asOutput() - Method in class org.tensorflow.op.core.Assign
asOutput() - Method in class org.tensorflow.op.core.AssignAdd
asOutput() - Method in class org.tensorflow.op.core.AssignSub
asOutput() - Method in class org.tensorflow.op.core.Barrier
asOutput() - Method in class org.tensorflow.op.core.BarrierIncompleteSize
asOutput() - Method in class org.tensorflow.op.core.BarrierReadySize
asOutput() - Method in class org.tensorflow.op.core.BatchToSpace
asOutput() - Method in class org.tensorflow.op.core.BatchToSpaceNd
asOutput() - Method in class org.tensorflow.op.core.Bitcast
asOutput() - Method in class org.tensorflow.op.core.BroadcastDynamicShape
asOutput() - Method in class org.tensorflow.op.core.BroadcastTo
asOutput() - Method in class org.tensorflow.op.core.Bucketize
asOutput() - Method in class org.tensorflow.op.core.ClipByValue
asOutput() - Method in class org.tensorflow.op.core.CompositeTensorVariantFromComponents
asOutput() - Method in class org.tensorflow.op.core.Concat
asOutput() - Method in class org.tensorflow.op.core.Constant
asOutput() - Method in class org.tensorflow.op.core.Copy
asOutput() - Method in class org.tensorflow.op.core.CopyHost
asOutput() - Method in class org.tensorflow.op.core.CountUpTo
asOutput() - Method in class org.tensorflow.op.core.DeepCopy
asOutput() - Method in class org.tensorflow.op.core.DestroyTemporaryVariable
asOutput() - Method in class org.tensorflow.op.core.DeviceIndex
asOutput() - Method in class org.tensorflow.op.core.DummyMemoryCache
asOutput() - Method in class org.tensorflow.op.core.DynamicStitch
asOutput() - Method in class org.tensorflow.op.core.EditDistance
asOutput() - Method in class org.tensorflow.op.core.Empty
asOutput() - Method in class org.tensorflow.op.core.EmptyTensorList
asOutput() - Method in class org.tensorflow.op.core.EmptyTensorMap
asOutput() - Method in class org.tensorflow.op.core.EncodeProto
asOutput() - Method in class org.tensorflow.op.core.EnsureShape
asOutput() - Method in class org.tensorflow.op.core.Enter
asOutput() - Method in class org.tensorflow.op.core.Exit
asOutput() - Method in class org.tensorflow.op.core.ExpandDims
asOutput() - Method in class org.tensorflow.op.core.ExtractVolumePatches
asOutput() - Method in class org.tensorflow.op.core.Fill
asOutput() - Method in class org.tensorflow.op.core.Fingerprint
asOutput() - Method in class org.tensorflow.op.core.Gather
asOutput() - Method in class org.tensorflow.op.core.GatherNd
asOutput() - Method in class org.tensorflow.op.core.GetOptions
asOutput() - Method in class org.tensorflow.op.core.GetSessionHandle
asOutput() - Method in class org.tensorflow.op.core.GetSessionTensor
asOutput() - Method in class org.tensorflow.op.core.GuaranteeConst
asOutput() - Method in class org.tensorflow.op.core.HashTable
asOutput() - Method in class org.tensorflow.op.core.HistogramFixedWidth
asOutput() - Method in class org.tensorflow.op.core.Identity
asOutput() - Method in class org.tensorflow.op.core.ImmutableConst
asOutput() - Method in class org.tensorflow.op.core.InplaceAdd
asOutput() - Method in class org.tensorflow.op.core.InplaceSub
asOutput() - Method in class org.tensorflow.op.core.InplaceUpdate
asOutput() - Method in class org.tensorflow.op.core.IsVariableInitialized
asOutput() - Method in class org.tensorflow.op.core.KthOrderStatistic
asOutput() - Method in class org.tensorflow.op.core.LinSpace
asOutput() - Method in class org.tensorflow.op.core.LookupTableFind
asOutput() - Method in class org.tensorflow.op.core.LookupTableSize
asOutput() - Method in class org.tensorflow.op.core.LoopCond
asOutput() - Method in class org.tensorflow.op.core.LowerBound
asOutput() - Method in class org.tensorflow.op.core.MakeUnique
asOutput() - Method in class org.tensorflow.op.core.MapIncompleteSize
asOutput() - Method in class org.tensorflow.op.core.MapSize
asOutput() - Method in class org.tensorflow.op.core.Max
asOutput() - Method in class org.tensorflow.op.core.Min
asOutput() - Method in class org.tensorflow.op.core.MirrorPad
asOutput() - Method in class org.tensorflow.op.core.MirrorPadGrad
asOutput() - Method in class org.tensorflow.op.core.MutableDenseHashTable
asOutput() - Method in class org.tensorflow.op.core.MutableHashTable
asOutput() - Method in class org.tensorflow.op.core.MutableHashTableOfTensors
asOutput() - Method in class org.tensorflow.op.core.Mutex
asOutput() - Method in class org.tensorflow.op.core.MutexLock
asOutput() - Method in class org.tensorflow.op.core.NcclAllReduce: Deprecated.
asOutput() - Method in class org.tensorflow.op.core.NcclBroadcast: Deprecated.
asOutput() - Method in class org.tensorflow.op.core.NcclReduce: Deprecated.
asOutput() - Method in class org.tensorflow.op.core.NextIteration
asOutput() - Method in class org.tensorflow.op.core.OneHot
asOutput() - Method in class org.tensorflow.op.core.Ones
asOutput() - Method in class org.tensorflow.op.core.OnesLike
asOutput() - Method in class org.tensorflow.op.core.OrderedMapIncompleteSize
asOutput() - Method in class org.tensorflow.op.core.OrderedMapSize
asOutput() - Method in class org.tensorflow.op.core.Pad
asOutput() - Method in class org.tensorflow.op.core.ParallelConcat
asOutput() - Method in class org.tensorflow.op.core.ParallelDynamicStitch
asOutput() - Method in class org.tensorflow.op.core.Placeholder
asOutput() - Method in class org.tensorflow.op.core.PlaceholderWithDefault
asOutput() - Method in class org.tensorflow.op.core.Prod
asOutput() - Method in class org.tensorflow.op.core.Range
asOutput() - Method in class org.tensorflow.op.core.Rank
asOutput() - Method in class org.tensorflow.op.core.ReadVariableOp
asOutput() - Method in class org.tensorflow.op.core.Recv
asOutput() - Method in class org.tensorflow.op.core.ReduceAll
asOutput() - Method in class org.tensorflow.op.core.ReduceAny
asOutput() - Method in class org.tensorflow.op.core.ReduceMax
asOutput() - Method in class org.tensorflow.op.core.ReduceMin
asOutput() - Method in class org.tensorflow.op.core.ReduceProd
asOutput() - Method in class org.tensorflow.op.core.ReduceSum
asOutput() - Method in class org.tensorflow.op.core.RefEnter
asOutput() - Method in class org.tensorflow.op.core.RefExit
asOutput() - Method in class org.tensorflow.op.core.RefIdentity
asOutput() - Method in class org.tensorflow.op.core.RefNextIteration
asOutput() - Method in class org.tensorflow.op.core.RefSelect
asOutput() - Method in class org.tensorflow.op.core.Reshape
asOutput() - Method in class org.tensorflow.op.core.ResourceCountUpTo
asOutput() - Method in class org.tensorflow.op.core.ResourceGather
asOutput() - Method in class org.tensorflow.op.core.ResourceGatherNd
asOutput() - Method in class org.tensorflow.op.core.Reverse
asOutput() - Method in class org.tensorflow.op.core.ReverseSequence
asOutput() - Method in class org.tensorflow.op.core.Roll
asOutput() - Method in class org.tensorflow.op.core.ScatterAdd
asOutput() - Method in class org.tensorflow.op.core.ScatterDiv
asOutput() - Method in class org.tensorflow.op.core.ScatterMax
asOutput() - Method in class org.tensorflow.op.core.ScatterMin
asOutput() - Method in class org.tensorflow.op.core.ScatterMul
asOutput() - Method in class org.tensorflow.op.core.ScatterNd
asOutput() - Method in class org.tensorflow.op.core.ScatterNdAdd
asOutput() - Method in class org.tensorflow.op.core.ScatterNdMax
asOutput() - Method in class org.tensorflow.op.core.ScatterNdMin
asOutput() - Method in class org.tensorflow.op.core.ScatterNdNonAliasingAdd
asOutput() - Method in class org.tensorflow.op.core.ScatterNdSub
asOutput() - Method in class org.tensorflow.op.core.ScatterNdUpdate
asOutput() - Method in class org.tensorflow.op.core.ScatterSub
asOutput() - Method in class org.tensorflow.op.core.ScatterUpdate
asOutput() - Method in class org.tensorflow.op.core.Select
asOutput() - Method in class org.tensorflow.op.core.SetSize
asOutput() - Method in class org.tensorflow.op.core.Shape
asOutput() - Method in class org.tensorflow.op.core.Size
asOutput() - Method in class org.tensorflow.op.core.Slice
asOutput() - Method in class org.tensorflow.op.core.Snapshot
asOutput() - Method in class org.tensorflow.op.core.SpaceToBatchNd
asOutput() - Method in class org.tensorflow.op.core.Squeeze
asOutput() - Method in class org.tensorflow.op.core.Stack
asOutput() - Method in class org.tensorflow.op.core.StageSize
asOutput() - Method in class org.tensorflow.op.core.StopGradient
asOutput() - Method in class org.tensorflow.op.core.StridedSlice
asOutput() - Method in class org.tensorflow.op.core.StridedSliceAssign
asOutput() - Method in class org.tensorflow.op.core.StridedSliceGrad
asOutput() - Method in class org.tensorflow.op.core.Sum
asOutput() - Method in class org.tensorflow.op.core.TemporaryVariable
asOutput() - Method in class org.tensorflow.op.core.TensorArrayGather
asOutput() - Method in class org.tensorflow.op.core.TensorArrayPack
asOutput() - Method in class org.tensorflow.op.core.TensorArrayRead
asOutput() - Method in class org.tensorflow.op.core.TensorArrayScatter
asOutput() - Method in class org.tensorflow.op.core.TensorArraySize
asOutput() - Method in class org.tensorflow.op.core.TensorArraySplit
asOutput() - Method in class org.tensorflow.op.core.TensorArrayUnpack
asOutput() - Method in class org.tensorflow.op.core.TensorArrayWrite
asOutput() - Method in class org.tensorflow.op.core.TensorListConcatLists
asOutput() - Method in class org.tensorflow.op.core.TensorListElementShape
asOutput() - Method in class org.tensorflow.op.core.TensorListFromTensor
asOutput() - Method in class org.tensorflow.op.core.TensorListGather
asOutput() - Method in class org.tensorflow.op.core.TensorListGetItem
asOutput() - Method in class org.tensorflow.op.core.TensorListLength
asOutput() - Method in class org.tensorflow.op.core.TensorListPushBack
asOutput() - Method in class org.tensorflow.op.core.TensorListPushBackBatch
asOutput() - Method in class org.tensorflow.op.core.TensorListReserve
asOutput() - Method in class org.tensorflow.op.core.TensorListResize
asOutput() - Method in class org.tensorflow.op.core.TensorListScatter
asOutput() - Method in class org.tensorflow.op.core.TensorListScatterIntoExistingList
asOutput() - Method in class org.tensorflow.op.core.TensorListSetItem
asOutput() - Method in class org.tensorflow.op.core.TensorListSplit
asOutput() - Method in class org.tensorflow.op.core.TensorListStack
asOutput() - Method in class org.tensorflow.op.core.TensorMapErase
asOutput() - Method in class org.tensorflow.op.core.TensorMapHasKey
asOutput() - Method in class org.tensorflow.op.core.TensorMapInsert
asOutput() - Method in class org.tensorflow.op.core.TensorMapLookup
asOutput() - Method in class org.tensorflow.op.core.TensorMapSize
asOutput() - Method in class org.tensorflow.op.core.TensorMapStackKeys
asOutput() - Method in class org.tensorflow.op.core.TensorScatterNdAdd
asOutput() - Method in class org.tensorflow.op.core.TensorScatterNdMax
asOutput() - Method in class org.tensorflow.op.core.TensorScatterNdMin
asOutput() - Method in class org.tensorflow.op.core.TensorScatterNdSub
asOutput() - Method in class org.tensorflow.op.core.TensorScatterNdUpdate
asOutput() - Method in class org.tensorflow.op.core.TensorStridedSliceUpdate
asOutput() - Method in class org.tensorflow.op.core.Tile
asOutput() - Method in class org.tensorflow.op.core.Timestamp
asOutput() - Method in class org.tensorflow.op.core.Unbatch
asOutput() - Method in class org.tensorflow.op.core.UnbatchGrad
asOutput() - Method in class org.tensorflow.op.core.UnravelIndex
asOutput() - Method in class org.tensorflow.op.core.UpperBound
asOutput() - Method in class org.tensorflow.op.core.VarHandleOp
asOutput() - Method in class org.tensorflow.op.core.Variable
asOutput() - Method in class org.tensorflow.op.core.VariableShape
asOutput() - Method in class org.tensorflow.op.core.VarIsInitializedOp
asOutput() - Method in class org.tensorflow.op.core.Where
asOutput() - Method in class org.tensorflow.op.core.Zeros
asOutput() - Method in class org.tensorflow.op.core.ZerosLike
asOutput() - Method in class org.tensorflow.op.data.AssertCardinalityDataset
asOutput() - Method in class org.tensorflow.op.data.AssertNextDataset
asOutput() - Method in class org.tensorflow.op.data.AutoShardDataset
asOutput() - Method in class org.tensorflow.op.data.BatchDataset
asOutput() - Method in class org.tensorflow.op.data.BytesProducedStatsDataset
asOutput() - Method in class org.tensorflow.op.data.CacheDataset
asOutput() - Method in class org.tensorflow.op.data.ChooseFastestBranchDataset
asOutput() - Method in class org.tensorflow.op.data.ChooseFastestDataset
asOutput() - Method in class org.tensorflow.op.data.CompressElement
asOutput() - Method in class org.tensorflow.op.data.ConcatenateDataset
asOutput() - Method in class org.tensorflow.op.data.CSVDataset
asOutput() - Method in class org.tensorflow.op.data.DataServiceDatasetV2
asOutput() - Method in class org.tensorflow.op.data.DatasetCardinality
asOutput() - Method in class org.tensorflow.op.data.DatasetFromGraph
asOutput() - Method in class org.tensorflow.op.data.DatasetToGraph
asOutput() - Method in class org.tensorflow.op.data.DenseToSparseBatchDataset
asOutput() - Method in class org.tensorflow.op.data.DirectedInterleaveDataset
asOutput() - Method in class org.tensorflow.op.data.DummyIterationCounter
asOutput() - Method in class org.tensorflow.op.data.experimental.AssertNextDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.AutoShardDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.BytesProducedStatsDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.ChooseFastestDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.CSVDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.DatasetCardinality
asOutput() - Method in class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.DirectedInterleaveDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.GroupByReducerDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.GroupByWindowDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.IteratorGetDevice
asOutput() - Method in class org.tensorflow.op.data.experimental.LatencyStatsDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.LmdbDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.MapAndBatchDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.MapDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.MatchingFilesDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.NonSerializableDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.ParseExampleDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.RandomDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.RebatchDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.ScanDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.SleepDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.SlidingWindowDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.SqlDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.StatsAggregatorHandle
asOutput() - Method in class org.tensorflow.op.data.experimental.StatsAggregatorSummary
asOutput() - Method in class org.tensorflow.op.data.experimental.TakeWhileDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.ThreadPoolDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.ThreadPoolHandle
asOutput() - Method in class org.tensorflow.op.data.experimental.UnbatchDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.UniqueDataset
asOutput() - Method in class org.tensorflow.op.data.FilterByLastComponentDataset
asOutput() - Method in class org.tensorflow.op.data.FilterDataset
asOutput() - Method in class org.tensorflow.op.data.FinalizeDataset
asOutput() - Method in class org.tensorflow.op.data.FixedLengthRecordDataset
asOutput() - Method in class org.tensorflow.op.data.FlatMapDataset
asOutput() - Method in class org.tensorflow.op.data.GeneratorDataset
asOutput() - Method in class org.tensorflow.op.data.GroupByReducerDataset
asOutput() - Method in class org.tensorflow.op.data.GroupByWindowDataset
asOutput() - Method in class org.tensorflow.op.data.IgnoreErrorsDataset
asOutput() - Method in class org.tensorflow.op.data.InterleaveDataset
asOutput() - Method in class org.tensorflow.op.data.Iterator
asOutput() - Method in class org.tensorflow.op.data.IteratorFromStringHandle
asOutput() - Method in class org.tensorflow.op.data.IteratorGetDevice
asOutput() - Method in class org.tensorflow.op.data.IteratorGetNextAsOptional
asOutput() - Method in class org.tensorflow.op.data.IteratorToStringHandle
asOutput() - Method in class org.tensorflow.op.data.LatencyStatsDataset
asOutput() - Method in class org.tensorflow.op.data.LeakyReluGrad
asOutput() - Method in class org.tensorflow.op.data.LegacyParallelInterleaveDataset
asOutput() - Method in class org.tensorflow.op.data.LMDBDataset
asOutput() - Method in class org.tensorflow.op.data.LoadDataset
asOutput() - Method in class org.tensorflow.op.data.MapAndBatchDataset
asOutput() - Method in class org.tensorflow.op.data.MapDataset
asOutput() - Method in class org.tensorflow.op.data.MatchingFilesDataset
asOutput() - Method in class org.tensorflow.op.data.MaxIntraOpParallelismDataset
asOutput() - Method in class org.tensorflow.op.data.ModelDataset
asOutput() - Method in class org.tensorflow.op.data.MultiDeviceIterator
asOutput() - Method in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle
asOutput() - Method in class org.tensorflow.op.data.MultiDeviceIteratorInit
asOutput() - Method in class org.tensorflow.op.data.MultiDeviceIteratorToStringHandle
asOutput() - Method in class org.tensorflow.op.data.NonSerializableDataset
asOutput() - Method in class org.tensorflow.op.data.OneShotIterator
asOutput() - Method in class org.tensorflow.op.data.OptimizeDataset
asOutput() - Method in class org.tensorflow.op.data.OptionalFromValue
asOutput() - Method in class org.tensorflow.op.data.OptionalHasValue
asOutput() - Method in class org.tensorflow.op.data.OptionalNone
asOutput() - Method in class org.tensorflow.op.data.OptionsDataset
asOutput() - Method in class org.tensorflow.op.data.PaddedBatchDataset
asOutput() - Method in class org.tensorflow.op.data.ParallelBatchDataset
asOutput() - Method in class org.tensorflow.op.data.ParallelInterleaveDataset
asOutput() - Method in class org.tensorflow.op.data.ParallelMapDataset
asOutput() - Method in class org.tensorflow.op.data.ParseExampleDataset
asOutput() - Method in class org.tensorflow.op.data.PrefetchDataset
asOutput() - Method in class org.tensorflow.op.data.PrivateThreadPoolDataset
asOutput() - Method in class org.tensorflow.op.data.RandomDataset
asOutput() - Method in class org.tensorflow.op.data.RangeDataset
asOutput() - Method in class org.tensorflow.op.data.RebatchDatasetV2
asOutput() - Method in class org.tensorflow.op.data.RegisterDataset
asOutput() - Method in class org.tensorflow.op.data.RepeatDataset
asOutput() - Method in class org.tensorflow.op.data.SamplingDataset
asOutput() - Method in class org.tensorflow.op.data.SaveDataset
asOutput() - Method in class org.tensorflow.op.data.ScanDataset
asOutput() - Method in class org.tensorflow.op.data.SerializeIterator
asOutput() - Method in class org.tensorflow.op.data.SetStatsAggregatorDataset
asOutput() - Method in class org.tensorflow.op.data.ShardDataset
asOutput() - Method in class org.tensorflow.op.data.ShuffleAndRepeatDataset
asOutput() - Method in class org.tensorflow.op.data.ShuffleDataset
asOutput() - Method in class org.tensorflow.op.data.SkipDataset
asOutput() - Method in class org.tensorflow.op.data.SleepDataset
asOutput() - Method in class org.tensorflow.op.data.SlidingWindowDataset
asOutput() - Method in class org.tensorflow.op.data.SnapshotDataset
asOutput() - Method in class org.tensorflow.op.data.SnapshotDatasetReader
asOutput() - Method in class org.tensorflow.op.data.SnapshotNestedDatasetReader
asOutput() - Method in class org.tensorflow.op.data.SparseTensorSliceDataset
asOutput() - Method in class org.tensorflow.op.data.SqlDataset
asOutput() - Method in class org.tensorflow.op.data.StatsAggregatorHandle
asOutput() - Method in class org.tensorflow.op.data.TakeDataset
asOutput() - Method in class org.tensorflow.op.data.TakeWhileDataset
asOutput() - Method in class org.tensorflow.op.data.TensorDataset
asOutput() - Method in class org.tensorflow.op.data.TensorSliceDataset
asOutput() - Method in class org.tensorflow.op.data.TextLineDataset
asOutput() - Method in class org.tensorflow.op.data.TfRecordDataset
asOutput() - Method in class org.tensorflow.op.data.ThreadPoolDataset
asOutput() - Method in class org.tensorflow.op.data.ThreadPoolHandle
asOutput() - Method in class org.tensorflow.op.data.UnbatchDataset
asOutput() - Method in class org.tensorflow.op.data.UniqueDataset
asOutput() - Method in class org.tensorflow.op.data.UnwrapDatasetVariant
asOutput() - Method in class org.tensorflow.op.data.WindowDataset
asOutput() - Method in class org.tensorflow.op.data.WindowOp
asOutput() - Method in class org.tensorflow.op.data.WrapDatasetVariant
asOutput() - Method in class org.tensorflow.op.data.ZipDataset
asOutput() - Method in class org.tensorflow.op.debugging.CheckNumerics
asOutput() - Method in class org.tensorflow.op.debugging.DebugGradientIdentity
asOutput() - Method in class org.tensorflow.op.debugging.DebugGradientRefIdentity
asOutput() - Method in class org.tensorflow.op.debugging.DebugIdentity
asOutput() - Method in class org.tensorflow.op.debugging.DebugNanCount
asOutput() - Method in class org.tensorflow.op.debugging.DebugNumericsSummary
asOutput() - Method in class org.tensorflow.op.distribute.NcclAllReduce
asOutput() - Method in class org.tensorflow.op.distribute.NcclBroadcast
asOutput() - Method in class org.tensorflow.op.distribute.NcclReduce
asOutput() - Method in class org.tensorflow.op.dtypes.AsString
asOutput() - Method in class org.tensorflow.op.dtypes.Cast
asOutput() - Method in class org.tensorflow.op.dtypes.Complex
asOutput() - Method in class org.tensorflow.op.dtypes.ToBool
asOutput() - Method in class org.tensorflow.op.estimator.BoostedTreesAggregateStats
asOutput() - Method in class org.tensorflow.op.estimator.BoostedTreesCenterBias
asOutput() - Method in class org.tensorflow.op.estimator.BoostedTreesEnsembleResourceHandleOp
asOutput() - Method in class org.tensorflow.op.estimator.BoostedTreesExampleDebugOutputs
asOutput() - Method in class org.tensorflow.op.estimator.BoostedTreesMakeStatsSummary
asOutput() - Method in class org.tensorflow.op.estimator.BoostedTreesPredict
asOutput() - Method in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceHandleOp
asOutput() - Method in class org.tensorflow.op.estimator.IsBoostedTreesEnsembleInitialized
asOutput() - Method in class org.tensorflow.op.estimator.IsBoostedTreesQuantileStreamResourceInitialized
asOutput() - Method in class org.tensorflow.op.image.AdjustContrast
asOutput() - Method in class org.tensorflow.op.image.AdjustHue
asOutput() - Method in class org.tensorflow.op.image.AdjustSaturation
asOutput() - Method in class org.tensorflow.op.image.CropAndResize
asOutput() - Method in class org.tensorflow.op.image.CropAndResizeGradBoxes
asOutput() - Method in class org.tensorflow.op.image.CropAndResizeGradImage
asOutput() - Method in class org.tensorflow.op.image.DecodeAndCropJpeg
asOutput() - Method in class org.tensorflow.op.image.DecodeBmp
asOutput() - Method in class org.tensorflow.op.image.DecodeGif
asOutput() - Method in class org.tensorflow.op.image.DecodeImage
asOutput() - Method in class org.tensorflow.op.image.DecodeJpeg
asOutput() - Method in class org.tensorflow.op.image.DecodePng
asOutput() - Method in class org.tensorflow.op.image.DrawBoundingBoxes
asOutput() - Method in class org.tensorflow.op.image.EncodeJpeg
asOutput() - Method in class org.tensorflow.op.image.EncodeJpegVariableQuality
asOutput() - Method in class org.tensorflow.op.image.EncodePng
asOutput() - Method in class org.tensorflow.op.image.ExtractGlimpse
asOutput() - Method in class org.tensorflow.op.image.ExtractImagePatches
asOutput() - Method in class org.tensorflow.op.image.ExtractJpegShape
asOutput() - Method in class org.tensorflow.op.image.HsvToRgb
asOutput() - Method in class org.tensorflow.op.image.ImageProjectiveTransformV2
asOutput() - Method in class org.tensorflow.op.image.ImageProjectiveTransformV3
asOutput() - Method in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps
asOutput() - Method in class org.tensorflow.op.image.RandomCrop
asOutput() - Method in class org.tensorflow.op.image.ResizeArea
asOutput() - Method in class org.tensorflow.op.image.ResizeBicubic
asOutput() - Method in class org.tensorflow.op.image.ResizeBicubicGrad
asOutput() - Method in class org.tensorflow.op.image.ResizeBilinear
asOutput() - Method in class org.tensorflow.op.image.ResizeBilinearGrad
asOutput() - Method in class org.tensorflow.op.image.ResizeNearestNeighbor
asOutput() - Method in class org.tensorflow.op.image.ResizeNearestNeighborGrad
asOutput() - Method in class org.tensorflow.op.image.RgbToHsv
asOutput() - Method in class org.tensorflow.op.image.ScaleAndTranslate
asOutput() - Method in class org.tensorflow.op.image.ScaleAndTranslateGrad
asOutput() - Method in class org.tensorflow.op.io.DecodeBase64
asOutput() - Method in class org.tensorflow.op.io.DecodeCompressed
asOutput() - Method in class org.tensorflow.op.io.DecodeJsonExample
asOutput() - Method in class org.tensorflow.op.io.DecodePaddedRaw
asOutput() - Method in class org.tensorflow.op.io.DecodeRaw
asOutput() - Method in class org.tensorflow.op.io.EncodeBase64
asOutput() - Method in class org.tensorflow.op.io.FifoQueue
asOutput() - Method in class org.tensorflow.op.io.FixedLengthRecordReader
asOutput() - Method in class org.tensorflow.op.io.IdentityReader
asOutput() - Method in class org.tensorflow.op.io.LmdbReader
asOutput() - Method in class org.tensorflow.op.io.MatchingFiles
asOutput() - Method in class org.tensorflow.op.io.PaddingFifoQueue
asOutput() - Method in class org.tensorflow.op.io.ParseTensor
asOutput() - Method in class org.tensorflow.op.io.PriorityQueue
asOutput() - Method in class org.tensorflow.op.io.QueueIsClosed
asOutput() - Method in class org.tensorflow.op.io.QueueSize
asOutput() - Method in class org.tensorflow.op.io.RandomShuffleQueue
asOutput() - Method in class org.tensorflow.op.io.ReaderNumRecordsProduced
asOutput() - Method in class org.tensorflow.op.io.ReaderNumWorkUnitsCompleted
asOutput() - Method in class org.tensorflow.op.io.ReaderSerializeState
asOutput() - Method in class org.tensorflow.op.io.ReadFile
asOutput() - Method in class org.tensorflow.op.io.SerializeManySparse
asOutput() - Method in class org.tensorflow.op.io.SerializeSparse
asOutput() - Method in class org.tensorflow.op.io.SerializeTensor
asOutput() - Method in class org.tensorflow.op.io.ShardedFilename
asOutput() - Method in class org.tensorflow.op.io.ShardedFilespec
asOutput() - Method in class org.tensorflow.op.io.TextLineReader
asOutput() - Method in class org.tensorflow.op.io.TfRecordReader
asOutput() - Method in class org.tensorflow.op.io.WholeFileReader
asOutput() - Method in class org.tensorflow.op.linalg.BandedTriangularSolve
asOutput() - Method in class org.tensorflow.op.linalg.BandPart
asOutput() - Method in class org.tensorflow.op.linalg.BatchCholesky
asOutput() - Method in class org.tensorflow.op.linalg.BatchCholeskyGrad
asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixBandPart
asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixDeterminant
asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixDiag
asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixDiagPart
asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixInverse
asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixSetDiag
asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixSolve
asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixSolveLs
asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve
asOutput() - Method in class org.tensorflow.op.linalg.Cholesky
asOutput() - Method in class org.tensorflow.op.linalg.CholeskyGrad
asOutput() - Method in class org.tensorflow.op.linalg.ConjugateTranspose
asOutput() - Method in class org.tensorflow.op.linalg.Cross
asOutput() - Method in class org.tensorflow.op.linalg.Det
asOutput() - Method in class org.tensorflow.op.linalg.Einsum
asOutput() - Method in class org.tensorflow.op.linalg.EuclideanNorm
asOutput() - Method in class org.tensorflow.op.linalg.Inv
asOutput() - Method in class org.tensorflow.op.linalg.LoadAndRemapMatrix
asOutput() - Method in class org.tensorflow.op.linalg.MatMul
asOutput() - Method in class org.tensorflow.op.linalg.MatrixDiag
asOutput() - Method in class org.tensorflow.op.linalg.MatrixDiagPart
asOutput() - Method in class org.tensorflow.op.linalg.MatrixDiagPartV3
asOutput() - Method in class org.tensorflow.op.linalg.MatrixDiagV3
asOutput() - Method in class org.tensorflow.op.linalg.MatrixLogarithm
asOutput() - Method in class org.tensorflow.op.linalg.MatrixSetDiag
asOutput() - Method in class org.tensorflow.op.linalg.MatrixSolveLs
asOutput() - Method in class org.tensorflow.op.linalg.Solve
asOutput() - Method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToDense
asOutput() - Method in class org.tensorflow.op.linalg.sparse.DenseToCSRSparseMatrix
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixAdd
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMul
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixNNZ
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixOrderingAMD
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmax
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmaxGrad
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseCholesky
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixZeros
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix
asOutput() - Method in class org.tensorflow.op.linalg.Sqrtm
asOutput() - Method in class org.tensorflow.op.linalg.TensorDiag
asOutput() - Method in class org.tensorflow.op.linalg.TensorDiagPart
asOutput() - Method in class org.tensorflow.op.linalg.Transpose
asOutput() - Method in class org.tensorflow.op.linalg.TriangularSolve
asOutput() - Method in class org.tensorflow.op.linalg.TridiagonalMatMul
asOutput() - Method in class org.tensorflow.op.linalg.TridiagonalSolve
asOutput() - Method in class org.tensorflow.op.math.Abs
asOutput() - Method in class org.tensorflow.op.math.AccumulateN
asOutput() - Method in class org.tensorflow.op.math.Acos
asOutput() - Method in class org.tensorflow.op.math.Acosh
asOutput() - Method in class org.tensorflow.op.math.Add
asOutput() - Method in class org.tensorflow.op.math.AddN
asOutput() - Method in class org.tensorflow.op.math.Angle
asOutput() - Method in class org.tensorflow.op.math.ApproximateEqual
asOutput() - Method in class org.tensorflow.op.math.ArgMax
asOutput() - Method in class org.tensorflow.op.math.ArgMin
asOutput() - Method in class org.tensorflow.op.math.Asin
asOutput() - Method in class org.tensorflow.op.math.Asinh
asOutput() - Method in class org.tensorflow.op.math.Atan
asOutput() - Method in class org.tensorflow.op.math.Atan2
asOutput() - Method in class org.tensorflow.op.math.Atanh
asOutput() - Method in class org.tensorflow.op.math.BesselI0
asOutput() - Method in class org.tensorflow.op.math.BesselI0e
asOutput() - Method in class org.tensorflow.op.math.BesselI1
asOutput() - Method in class org.tensorflow.op.math.BesselI1e
asOutput() - Method in class org.tensorflow.op.math.Betainc
asOutput() - Method in class org.tensorflow.op.math.Bincount
asOutput() - Method in class org.tensorflow.op.math.Ceil
asOutput() - Method in class org.tensorflow.op.math.ComplexAbs
asOutput() - Method in class org.tensorflow.op.math.Conj
asOutput() - Method in class org.tensorflow.op.math.Cos
asOutput() - Method in class org.tensorflow.op.math.Cosh
asOutput() - Method in class org.tensorflow.op.math.Cumprod
asOutput() - Method in class org.tensorflow.op.math.Cumsum
asOutput() - Method in class org.tensorflow.op.math.CumulativeLogsumexp
asOutput() - Method in class org.tensorflow.op.math.DenseBincount
asOutput() - Method in class org.tensorflow.op.math.Digamma
asOutput() - Method in class org.tensorflow.op.math.Div
asOutput() - Method in class org.tensorflow.op.math.DivNoNan
asOutput() - Method in class org.tensorflow.op.math.Equal
asOutput() - Method in class org.tensorflow.op.math.Erf
asOutput() - Method in class org.tensorflow.op.math.Erfc
asOutput() - Method in class org.tensorflow.op.math.erfinv
asOutput() - Method in class org.tensorflow.op.math.Exp
asOutput() - Method in class org.tensorflow.op.math.Expm1
asOutput() - Method in class org.tensorflow.op.math.Fact
asOutput() - Method in class org.tensorflow.op.math.Floor
asOutput() - Method in class org.tensorflow.op.math.FloorDiv
asOutput() - Method in class org.tensorflow.op.math.FloorMod
asOutput() - Method in class org.tensorflow.op.math.Greater
asOutput() - Method in class org.tensorflow.op.math.GreaterEqual
asOutput() - Method in class org.tensorflow.op.math.Igamma
asOutput() - Method in class org.tensorflow.op.math.Igammac
asOutput() - Method in class org.tensorflow.op.math.IgammaGradA
asOutput() - Method in class org.tensorflow.op.math.Imag
asOutput() - Method in class org.tensorflow.op.math.InvertPermutation
asOutput() - Method in class org.tensorflow.op.math.IsFinite
asOutput() - Method in class org.tensorflow.op.math.IsInf
asOutput() - Method in class org.tensorflow.op.math.IsNan
asOutput() - Method in class org.tensorflow.op.math.Less
asOutput() - Method in class org.tensorflow.op.math.LessEqual
asOutput() - Method in class org.tensorflow.op.math.Lgamma
asOutput() - Method in class org.tensorflow.op.math.Log
asOutput() - Method in class org.tensorflow.op.math.Log1p
asOutput() - Method in class org.tensorflow.op.math.LogicalAnd
asOutput() - Method in class org.tensorflow.op.math.LogicalNot
asOutput() - Method in class org.tensorflow.op.math.LogicalOr
asOutput() - Method in class org.tensorflow.op.math.Maximum
asOutput() - Method in class org.tensorflow.op.math.Mean
asOutput() - Method in class org.tensorflow.op.math.Minimum
asOutput() - Method in class org.tensorflow.op.math.Mod
asOutput() - Method in class org.tensorflow.op.math.Mul
asOutput() - Method in class org.tensorflow.op.math.MulNoNan
asOutput() - Method in class org.tensorflow.op.math.Ndtri
asOutput() - Method in class org.tensorflow.op.math.Neg
asOutput() - Method in class org.tensorflow.op.math.NextAfter
asOutput() - Method in class org.tensorflow.op.math.NotEqual
asOutput() - Method in class org.tensorflow.op.math.Polygamma
asOutput() - Method in class org.tensorflow.op.math.PopulationCount
asOutput() - Method in class org.tensorflow.op.math.Pow
asOutput() - Method in class org.tensorflow.op.math.Real
asOutput() - Method in class org.tensorflow.op.math.RealDiv
asOutput() - Method in class org.tensorflow.op.math.Reciprocal
asOutput() - Method in class org.tensorflow.op.math.ReciprocalGrad
asOutput() - Method in class org.tensorflow.op.math.Rint
asOutput() - Method in class org.tensorflow.op.math.Round
asOutput() - Method in class org.tensorflow.op.math.Rsqrt
asOutput() - Method in class org.tensorflow.op.math.RsqrtGrad
asOutput() - Method in class org.tensorflow.op.math.SegmentMax
asOutput() - Method in class org.tensorflow.op.math.SegmentMean
asOutput() - Method in class org.tensorflow.op.math.SegmentMin
asOutput() - Method in class org.tensorflow.op.math.SegmentProd
asOutput() - Method in class org.tensorflow.op.math.SegmentSum
asOutput() - Method in class org.tensorflow.op.math.Sigmoid
asOutput() - Method in class org.tensorflow.op.math.SigmoidGrad
asOutput() - Method in class org.tensorflow.op.math.Sign
asOutput() - Method in class org.tensorflow.op.math.Sin
asOutput() - Method in class org.tensorflow.op.math.Sinh
asOutput() - Method in class org.tensorflow.op.math.SobolSample
asOutput() - Method in class org.tensorflow.op.math.Softplus
asOutput() - Method in class org.tensorflow.op.math.SoftplusGrad
asOutput() - Method in class org.tensorflow.op.math.special.BesselJ0
asOutput() - Method in class org.tensorflow.op.math.special.BesselJ1
asOutput() - Method in class org.tensorflow.op.math.special.BesselK0
asOutput() - Method in class org.tensorflow.op.math.special.BesselK0e
asOutput() - Method in class org.tensorflow.op.math.special.BesselK1
asOutput() - Method in class org.tensorflow.op.math.special.BesselK1e
asOutput() - Method in class org.tensorflow.op.math.special.BesselY0
asOutput() - Method in class org.tensorflow.op.math.special.BesselY1
asOutput() - Method in class org.tensorflow.op.math.special.Dawsn
asOutput() - Method in class org.tensorflow.op.math.special.Expint
asOutput() - Method in class org.tensorflow.op.math.special.FresnelCos
asOutput() - Method in class org.tensorflow.op.math.special.FresnelSin
asOutput() - Method in class org.tensorflow.op.math.special.Spence
asOutput() - Method in class org.tensorflow.op.math.Sqrt
asOutput() - Method in class org.tensorflow.op.math.SqrtGrad
asOutput() - Method in class org.tensorflow.op.math.Square
asOutput() - Method in class org.tensorflow.op.math.SquaredDifference
asOutput() - Method in class org.tensorflow.op.math.Sub
asOutput() - Method in class org.tensorflow.op.math.Tan
asOutput() - Method in class org.tensorflow.op.math.Tanh
asOutput() - Method in class org.tensorflow.op.math.TanhGrad
asOutput() - Method in class org.tensorflow.op.math.TruncateDiv
asOutput() - Method in class org.tensorflow.op.math.TruncateMod
asOutput() - Method in class org.tensorflow.op.math.UnsortedSegmentMax
asOutput() - Method in class org.tensorflow.op.math.UnsortedSegmentMin
asOutput() - Method in class org.tensorflow.op.math.UnsortedSegmentProd
asOutput() - Method in class org.tensorflow.op.math.UnsortedSegmentSum
asOutput() - Method in class org.tensorflow.op.math.Xdivy
asOutput() - Method in class org.tensorflow.op.math.Xlog1py
asOutput() - Method in class org.tensorflow.op.math.Xlogy
asOutput() - Method in class org.tensorflow.op.math.Zeta
asOutput() - Method in class org.tensorflow.op.nn.AvgPool
asOutput() - Method in class org.tensorflow.op.nn.AvgPool3d
asOutput() - Method in class org.tensorflow.op.nn.AvgPool3dGrad
asOutput() - Method in class org.tensorflow.op.nn.AvgPoolGrad
asOutput() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization
asOutput() - Method in class org.tensorflow.op.nn.BiasAdd
asOutput() - Method in class org.tensorflow.op.nn.BiasAddGrad
asOutput() - Method in class org.tensorflow.op.nn.Conv2d
asOutput() - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter
asOutput() - Method in class org.tensorflow.op.nn.Conv2dBackpropInput
asOutput() - Method in class org.tensorflow.op.nn.Conv3d
asOutput() - Method in class org.tensorflow.op.nn.Conv3dBackpropFilter
asOutput() - Method in class org.tensorflow.op.nn.Conv3dBackpropInput
asOutput() - Method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams
asOutput() - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize
asOutput() - Method in class org.tensorflow.op.nn.DataFormatDimMap
asOutput() - Method in class org.tensorflow.op.nn.DataFormatVecPermute
asOutput() - Method in class org.tensorflow.op.nn.DepthToSpace
asOutput() - Method in class org.tensorflow.op.nn.DepthwiseConv2dNative
asOutput() - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter
asOutput() - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput
asOutput() - Method in class org.tensorflow.op.nn.Dilation2d
asOutput() - Method in class org.tensorflow.op.nn.Dilation2dBackpropFilter
asOutput() - Method in class org.tensorflow.op.nn.Dilation2dBackpropInput
asOutput() - Method in class org.tensorflow.op.nn.Elu
asOutput() - Method in class org.tensorflow.op.nn.EluGrad
asOutput() - Method in class org.tensorflow.op.nn.FractionalAvgPoolGrad
asOutput() - Method in class org.tensorflow.op.nn.FractionalMaxPoolGrad
asOutput() - Method in class org.tensorflow.op.nn.FusedPadConv2d
asOutput() - Method in class org.tensorflow.op.nn.FusedResizeAndPadConv2d
asOutput() - Method in class org.tensorflow.op.nn.InTopK
asOutput() - Method in class org.tensorflow.op.nn.InvGrad
asOutput() - Method in class org.tensorflow.op.nn.L2Loss
asOutput() - Method in class org.tensorflow.op.nn.LeakyRelu
asOutput() - Method in class org.tensorflow.op.nn.LocalResponseNormalization
asOutput() - Method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad
asOutput() - Method in class org.tensorflow.op.nn.LogSoftmax
asOutput() - Method in class org.tensorflow.op.nn.MaxPool
asOutput() - Method in class org.tensorflow.op.nn.MaxPool3d
asOutput() - Method in class org.tensorflow.op.nn.MaxPool3dGrad
asOutput() - Method in class org.tensorflow.op.nn.MaxPool3dGradGrad
asOutput() - Method in class org.tensorflow.op.nn.MaxPoolGrad
asOutput() - Method in class org.tensorflow.op.nn.MaxPoolGradGrad
asOutput() - Method in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax
asOutput() - Method in class org.tensorflow.op.nn.MaxPoolGradWithArgmax
asOutput() - Method in class org.tensorflow.op.nn.NthElement
asOutput() - Method in class org.tensorflow.op.nn.Relu
asOutput() - Method in class org.tensorflow.op.nn.Relu6
asOutput() - Method in class org.tensorflow.op.nn.Relu6Grad
asOutput() - Method in class org.tensorflow.op.nn.ReluGrad
asOutput() - Method in class org.tensorflow.op.nn.Selu
asOutput() - Method in class org.tensorflow.op.nn.SeluGrad
asOutput() - Method in class org.tensorflow.op.nn.Softmax
asOutput() - Method in class org.tensorflow.op.nn.Softsign
asOutput() - Method in class org.tensorflow.op.nn.SoftsignGrad
asOutput() - Method in class org.tensorflow.op.nn.SpaceToBatch
asOutput() - Method in class org.tensorflow.op.nn.SpaceToDepth
asOutput() - Method in class org.tensorflow.op.quantization.Dequantize
asOutput() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs
asOutput() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient
asOutput() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars
asOutput() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel
asOutput() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantize
asOutput() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3
asOutput() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4
asOutput() - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize
asOutput() - Method in class org.tensorflow.op.ragged.RaggedBincount
asOutput() - Method in class org.tensorflow.op.ragged.RaggedTensorToTensor
asOutput() - Method in class org.tensorflow.op.ragged.RaggedTensorToVariant
asOutput() - Method in class org.tensorflow.op.ragged.RaggedTensorToVariantGradient
asOutput() - Method in class org.tensorflow.op.random.DummySeedGenerator
asOutput() - Method in class org.tensorflow.op.random.Multinomial
asOutput() - Method in class org.tensorflow.op.random.NonDeterministicInts
asOutput() - Method in class org.tensorflow.op.random.ParameterizedTruncatedNormal
asOutput() - Method in class org.tensorflow.op.random.RandomGamma
asOutput() - Method in class org.tensorflow.op.random.RandomGammaGrad
asOutput() - Method in class org.tensorflow.op.random.RandomPoisson
asOutput() - Method in class org.tensorflow.op.random.RandomShuffle
asOutput() - Method in class org.tensorflow.op.random.RandomStandardNormal
asOutput() - Method in class org.tensorflow.op.random.RandomUniform
asOutput() - Method in class org.tensorflow.op.random.RandomUniformInt
asOutput() - Method in class org.tensorflow.op.random.RecordInput
asOutput() - Method in class org.tensorflow.op.random.RngReadAndSkip
asOutput() - Method in class org.tensorflow.op.random.StatefulRandomBinomial
asOutput() - Method in class org.tensorflow.op.random.StatefulStandardNormal
asOutput() - Method in class org.tensorflow.op.random.StatefulTruncatedNormal
asOutput() - Method in class org.tensorflow.op.random.StatefulUniform
asOutput() - Method in class org.tensorflow.op.random.StatefulUniformFullInt
asOutput() - Method in class org.tensorflow.op.random.StatefulUniformInt
asOutput() - Method in class org.tensorflow.op.random.StatelessMultinomial
asOutput() - Method in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomBinomial
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomGamma
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomGetAlg
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomNormal
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomNormalV2
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomPoisson
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomUniform
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomUniformFullInt
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomUniformInt
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomUniformIntV2
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomUniformV2
asOutput() - Method in class org.tensorflow.op.random.StatelessTruncatedNormal
asOutput() - Method in class org.tensorflow.op.random.StatelessTruncatedNormalV2
asOutput() - Method in class org.tensorflow.op.random.TruncatedNormal
asOutput() - Method in class org.tensorflow.op.risc.RiscAbs
asOutput() - Method in class org.tensorflow.op.risc.RiscAdd
asOutput() - Method in class org.tensorflow.op.risc.RiscBinaryArithmetic
asOutput() - Method in class org.tensorflow.op.risc.RiscBinaryComparison
asOutput() - Method in class org.tensorflow.op.risc.RiscBitcast
asOutput() - Method in class org.tensorflow.op.risc.RiscBroadcast
asOutput() - Method in class org.tensorflow.op.risc.RiscCast
asOutput() - Method in class org.tensorflow.op.risc.RiscCeil
asOutput() - Method in class org.tensorflow.op.risc.RiscCholesky
asOutput() - Method in class org.tensorflow.op.risc.RiscConcat
asOutput() - Method in class org.tensorflow.op.risc.RiscCondition
asOutput() - Method in class org.tensorflow.op.risc.RiscConv
asOutput() - Method in class org.tensorflow.op.risc.RiscCos
asOutput() - Method in class org.tensorflow.op.risc.RiscDiv
asOutput() - Method in class org.tensorflow.op.risc.RiscDot
asOutput() - Method in class org.tensorflow.op.risc.RiscExp
asOutput() - Method in class org.tensorflow.op.risc.RiscFft
asOutput() - Method in class org.tensorflow.op.risc.RiscFloor
asOutput() - Method in class org.tensorflow.op.risc.RiscGather
asOutput() - Method in class org.tensorflow.op.risc.RiscImag
asOutput() - Method in class org.tensorflow.op.risc.RiscIsFinite
asOutput() - Method in class org.tensorflow.op.risc.RiscLog
asOutput() - Method in class org.tensorflow.op.risc.RiscLogicalAnd
asOutput() - Method in class org.tensorflow.op.risc.RiscLogicalNot
asOutput() - Method in class org.tensorflow.op.risc.RiscLogicalOr
asOutput() - Method in class org.tensorflow.op.risc.RiscMax
asOutput() - Method in class org.tensorflow.op.risc.RiscMin
asOutput() - Method in class org.tensorflow.op.risc.RiscMul
asOutput() - Method in class org.tensorflow.op.risc.RiscNeg
asOutput() - Method in class org.tensorflow.op.risc.RiscPad
asOutput() - Method in class org.tensorflow.op.risc.RiscPool
asOutput() - Method in class org.tensorflow.op.risc.RiscPow
asOutput() - Method in class org.tensorflow.op.risc.RiscRandomUniform
asOutput() - Method in class org.tensorflow.op.risc.RiscReal
asOutput() - Method in class org.tensorflow.op.risc.RiscReduce
asOutput() - Method in class org.tensorflow.op.risc.RiscRem
asOutput() - Method in class org.tensorflow.op.risc.RiscReshape
asOutput() - Method in class org.tensorflow.op.risc.RiscReverse
asOutput() - Method in class org.tensorflow.op.risc.RiscScatter
asOutput() - Method in class org.tensorflow.op.risc.RiscShape
asOutput() - Method in class org.tensorflow.op.risc.RiscSign
asOutput() - Method in class org.tensorflow.op.risc.RiscSlice
asOutput() - Method in class org.tensorflow.op.risc.RiscSort
asOutput() - Method in class org.tensorflow.op.risc.RiscSqueeze
asOutput() - Method in class org.tensorflow.op.risc.RiscSub
asOutput() - Method in class org.tensorflow.op.risc.RiscTranspose
asOutput() - Method in class org.tensorflow.op.risc.RiscTriangularSolve
asOutput() - Method in class org.tensorflow.op.risc.RiscUnary
asOutput() - Method in class org.tensorflow.op.signal.BatchFft
asOutput() - Method in class org.tensorflow.op.signal.BatchFft2d
asOutput() - Method in class org.tensorflow.op.signal.BatchFft3d
asOutput() - Method in class org.tensorflow.op.signal.BatchIfft
asOutput() - Method in class org.tensorflow.op.signal.BatchIfft2d
asOutput() - Method in class org.tensorflow.op.signal.BatchIfft3d
asOutput() - Method in class org.tensorflow.op.signal.Fft
asOutput() - Method in class org.tensorflow.op.signal.Fft2d
asOutput() - Method in class org.tensorflow.op.signal.Fft3d
asOutput() - Method in class org.tensorflow.op.signal.Ifft
asOutput() - Method in class org.tensorflow.op.signal.Ifft2d
asOutput() - Method in class org.tensorflow.op.signal.Ifft3d
asOutput() - Method in class org.tensorflow.op.signal.Irfft
asOutput() - Method in class org.tensorflow.op.signal.Irfft2d
asOutput() - Method in class org.tensorflow.op.signal.Irfft3d
asOutput() - Method in class org.tensorflow.op.signal.Rfft
asOutput() - Method in class org.tensorflow.op.signal.Rfft2d
asOutput() - Method in class org.tensorflow.op.signal.Rfft3d
asOutput() - Method in class org.tensorflow.op.sparse.AddManySparseToTensorsMap
asOutput() - Method in class org.tensorflow.op.sparse.AddSparseToTensorsMap
asOutput() - Method in class org.tensorflow.op.sparse.SparseBincount
asOutput() - Method in class org.tensorflow.op.sparse.SparseConditionalAccumulator
asOutput() - Method in class org.tensorflow.op.sparse.SparseDenseCwiseAdd
asOutput() - Method in class org.tensorflow.op.sparse.SparseDenseCwiseDiv
asOutput() - Method in class org.tensorflow.op.sparse.SparseDenseCwiseMul
asOutput() - Method in class org.tensorflow.op.sparse.SparseMatMul
asOutput() - Method in class org.tensorflow.op.sparse.SparseReduceMax
asOutput() - Method in class org.tensorflow.op.sparse.SparseReduceSum
asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentMean
asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentMeanGrad
asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments
asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentSqrtN
asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad
asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments
asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentSum
asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentSumGrad
asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments
asOutput() - Method in class org.tensorflow.op.sparse.SparseSliceGrad
asOutput() - Method in class org.tensorflow.op.sparse.SparseSoftmax
asOutput() - Method in class org.tensorflow.op.sparse.SparseTensorDenseAdd
asOutput() - Method in class org.tensorflow.op.sparse.SparseTensorDenseMatMul
asOutput() - Method in class org.tensorflow.op.sparse.SparseToDense
asOutput() - Method in class org.tensorflow.op.strings.Join
asOutput() - Method in class org.tensorflow.op.strings.Lower
asOutput() - Method in class org.tensorflow.op.strings.ReduceJoin
asOutput() - Method in class org.tensorflow.op.strings.RegexFullMatch
asOutput() - Method in class org.tensorflow.op.strings.RegexReplace
asOutput() - Method in class org.tensorflow.op.strings.StaticRegexFullMatch
asOutput() - Method in class org.tensorflow.op.strings.StaticRegexReplace
asOutput() - Method in class org.tensorflow.op.strings.StringFormat
asOutput() - Method in class org.tensorflow.op.strings.StringLength
asOutput() - Method in class org.tensorflow.op.strings.Strip
asOutput() - Method in class org.tensorflow.op.strings.Substr
asOutput() - Method in class org.tensorflow.op.strings.ToHashBucket
asOutput() - Method in class org.tensorflow.op.strings.ToHashBucketFast
asOutput() - Method in class org.tensorflow.op.strings.ToHashBucketStrong
asOutput() - Method in class org.tensorflow.op.strings.ToNumber
asOutput() - Method in class org.tensorflow.op.strings.UnicodeEncode
asOutput() - Method in class org.tensorflow.op.strings.UnicodeScript
asOutput() - Method in class org.tensorflow.op.strings.UnicodeTranscode
asOutput() - Method in class org.tensorflow.op.strings.UnsortedSegmentJoin
asOutput() - Method in class org.tensorflow.op.strings.Upper
asOutput() - Method in class org.tensorflow.op.summary.AudioSummary
asOutput() - Method in class org.tensorflow.op.summary.HistogramSummary
asOutput() - Method in class org.tensorflow.op.summary.ImageSummary
asOutput() - Method in class org.tensorflow.op.summary.MergeSummary
asOutput() - Method in class org.tensorflow.op.summary.ScalarSummary
asOutput() - Method in class org.tensorflow.op.summary.StatsAggregatorSummary
asOutput() - Method in class org.tensorflow.op.summary.SummaryWriter
asOutput() - Method in class org.tensorflow.op.summary.TensorSummary
asOutput() - Method in class org.tensorflow.op.tpu.AllToAll
asOutput() - Method in class org.tensorflow.op.tpu.CompilationResult
asOutput() - Method in class org.tensorflow.op.tpu.ConfigureDistributedTPU
asOutput() - Method in class org.tensorflow.op.tpu.CrossReplicaSum
asOutput() - Method in class org.tensorflow.op.tpu.EmbeddingActivations
asOutput() - Method in class org.tensorflow.op.tpu.InfeedDequeue
asOutput() - Method in class org.tensorflow.op.tpu.IsTPUEmbeddingInitialized
asOutput() - Method in class org.tensorflow.op.tpu.OrdinalSelector
asOutput() - Method in class org.tensorflow.op.tpu.OutfeedDequeue
asOutput() - Method in class org.tensorflow.op.tpu.OutfeedDequeueV2
asOutput() - Method in class org.tensorflow.op.tpu.PartitionedInput
asOutput() - Method in class org.tensorflow.op.tpu.Prelinearize
asOutput() - Method in class org.tensorflow.op.tpu.PrelinearizeTuple
asOutput() - Method in class org.tensorflow.op.tpu.ReplicatedInput
asOutput() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters
asOutput() - Method in class org.tensorflow.op.tpu.TPUCompilationResult: Deprecated.
asOutput() - Method in class org.tensorflow.op.tpu.TPUEmbeddingActivations: Deprecated.
asOutput() - Method in class org.tensorflow.op.tpu.TPUReplicatedInput: Deprecated.
asOutput() - Method in class org.tensorflow.op.tpu.WorkerHeartbeat
asOutput() - Method in class org.tensorflow.op.train.AccumulatorNumAccumulated
asOutput() - Method in class org.tensorflow.op.train.AccumulatorTakeGradient
asOutput() - Method in class org.tensorflow.op.train.ApplyAdadelta
asOutput() - Method in class org.tensorflow.op.train.ApplyAdagrad
asOutput() - Method in class org.tensorflow.op.train.ApplyAdagradDa
asOutput() - Method in class org.tensorflow.op.train.ApplyAdagradV2
asOutput() - Method in class org.tensorflow.op.train.ApplyAdam
asOutput() - Method in class org.tensorflow.op.train.ApplyAdaMax
asOutput() - Method in class org.tensorflow.op.train.ApplyAddSign
asOutput() - Method in class org.tensorflow.op.train.ApplyCenteredRmsProp
asOutput() - Method in class org.tensorflow.op.train.ApplyFtrl
asOutput() - Method in class org.tensorflow.op.train.ApplyGradientDescent
asOutput() - Method in class org.tensorflow.op.train.ApplyMomentum
asOutput() - Method in class org.tensorflow.op.train.ApplyPowerSign
asOutput() - Method in class org.tensorflow.op.train.ApplyProximalAdagrad
asOutput() - Method in class org.tensorflow.op.train.ApplyProximalGradientDescent
asOutput() - Method in class org.tensorflow.op.train.ApplyRmsProp
asOutput() - Method in class org.tensorflow.op.train.BatchMatMul
asOutput() - Method in class org.tensorflow.op.train.ComputeBatchSize
asOutput() - Method in class org.tensorflow.op.train.ConditionalAccumulator
asOutput() - Method in class org.tensorflow.op.train.PreventGradient
asOutput() - Method in class org.tensorflow.op.train.ResourceAccumulatorNumAccumulated
asOutput() - Method in class org.tensorflow.op.train.ResourceAccumulatorTakeGradient
asOutput() - Method in class org.tensorflow.op.train.ResourceConditionalAccumulator
asOutput() - Method in class org.tensorflow.op.train.RestoreSlice
asOutput() - Method in class org.tensorflow.op.train.SdcaFprint
asOutput() - Method in class org.tensorflow.op.train.SparseApplyAdadelta
asOutput() - Method in class org.tensorflow.op.train.SparseApplyAdagrad
asOutput() - Method in class org.tensorflow.op.train.SparseApplyAdagradDa
asOutput() - Method in class org.tensorflow.op.train.SparseApplyCenteredRmsProp
asOutput() - Method in class org.tensorflow.op.train.SparseApplyFtrl
asOutput() - Method in class org.tensorflow.op.train.SparseApplyMomentum
asOutput() - Method in class org.tensorflow.op.train.SparseApplyProximalAdagrad
asOutput() - Method in class org.tensorflow.op.train.SparseApplyProximalGradientDescent
asOutput() - Method in class org.tensorflow.op.train.SparseApplyRmsProp
asOutput() - Method in class org.tensorflow.op.train.TileGrad
asOutput() - Method in class org.tensorflow.op.xla.AllReduce
asOutput() - Method in class org.tensorflow.op.xla.ClusterOutput
asOutput() - Method in class org.tensorflow.op.xla.ConcatND
asOutput() - Method in class org.tensorflow.op.xla.Conv
asOutput() - Method in class org.tensorflow.op.xla.Dequantize
asOutput() - Method in class org.tensorflow.op.xla.Dot
asOutput() - Method in class org.tensorflow.op.xla.DynamicSlice
asOutput() - Method in class org.tensorflow.op.xla.DynamicUpdateSlice
asOutput() - Method in class org.tensorflow.op.xla.Einsum
asOutput() - Method in class org.tensorflow.op.xla.Gather
asOutput() - Method in class org.tensorflow.op.xla.Pad
asOutput() - Method in class org.tensorflow.op.xla.Recv
asOutput() - Method in class org.tensorflow.op.xla.Reduce
asOutput() - Method in class org.tensorflow.op.xla.ReduceScatter
asOutput() - Method in class org.tensorflow.op.xla.ReduceWindow
asOutput() - Method in class org.tensorflow.op.xla.RemoveDynamicDimensionSize
asOutput() - Method in class org.tensorflow.op.xla.ReplicaId
asOutput() - Method in class org.tensorflow.op.xla.Scatter
asOutput() - Method in class org.tensorflow.op.xla.SelectAndScatter
asOutput() - Method in class org.tensorflow.op.xla.SetDynamicDimensionSize
asOutput() - Method in class org.tensorflow.op.xla.Sharding
asOutput() - Method in class org.tensorflow.op.xla.Sort
asOutput() - Method in class org.tensorflow.op.xla.SpmdFullToShardShape
asOutput() - Method in class org.tensorflow.op.xla.SpmdShardToFullShape
asOutput() - Method in class org.tensorflow.op.xla.XlaRecvFromHost
asOutput() - Method in class org.tensorflow.op.xla.XlaSetBound
asOutput() - Method in interface org.tensorflow.Operand: Returns the symbolic handle of the tensor.
asOutput() - Method in class org.tensorflow.Output
asOutputs(Iterable<? extends Operand<?>>) - Static method in class org.tensorflow.op.Operands: Converts a list of Operand into an array of Output.
aspectRatioRange(List<Float>) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Sets the aspectRatioRange option.
aspectRatioRange(Float...) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Sets the aspectRatioRange option.
aspectRatioRange - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: The cropped area of the image must have an aspect ratio = width / height within this range.
aspectRatioRange(List<Float>) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options: Sets the aspectRatioRange option.
aspectRatioRange(Float...) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options: Sets the aspectRatioRange option.
aspectRatioRange(List<Float>) - Static method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Sets the aspectRatioRange option.
aspectRatioRange(Float...) - Static method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Sets the aspectRatioRange option.
aspectRatioRange - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: The cropped area of the image must have an aspect ratio = width / height within this range.
aspectRatioRange(List<Float>) - Method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Options: Sets the aspectRatioRange option.
aspectRatioRange(Float...) - Method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Options: Sets the aspectRatioRange option.
asRawTensor() - Method in class org.tensorflow.RawTensor
asRawTensor() - Method in interface org.tensorflow.Tensor: Returns a raw (untyped) representation of this tensor
AssertCardinalityDataset - Class in org.tensorflow.op.data: The AssertCardinalityDataset operation
AssertCardinalityDataset(Operation) - Constructor for class org.tensorflow.op.data.AssertCardinalityDataset
assertCardinalityDataset(Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: The AssertCardinalityDataset operation
AssertCardinalityDataset.Inputs - Class in org.tensorflow.op.data
AssertNextDataset - Class in org.tensorflow.op.data: A transformation that asserts which transformations happen next.
AssertNextDataset(Operation) - Constructor for class org.tensorflow.op.data.AssertNextDataset
AssertNextDataset - Class in org.tensorflow.op.data.experimental: The ExperimentalAssertNextDataset operation
AssertNextDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.AssertNextDataset
assertNextDataset(Operand<? extends TType>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: A transformation that asserts which transformations happen next.
AssertNextDataset.Inputs - Class in org.tensorflow.op.data
AssertNextDataset.Inputs - Class in org.tensorflow.op.data.experimental
AssertThat - Class in org.tensorflow.op.core: Asserts that the given condition is true.
AssertThat(Operation) - Constructor for class org.tensorflow.op.core.AssertThat
assertThat(Operand<TBool>, Iterable<Operand<?>>, AssertThat.Options...) - Method in class org.tensorflow.op.Ops: Asserts that the given condition is true.
AssertThat.Inputs - Class in org.tensorflow.op.core
AssertThat.Options - Class in org.tensorflow.op.core: Optional attributes for AssertThat
ASSET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedObject
ASSET_FILE_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MetaGraphDef
ASSET_FILE_DEF_INDEX_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedAsset
AssetFileDef - Class in org.tensorflow.proto.framework: An asset file def for a single file or a set of sharded files with the same name.
AssetFileDef.Builder - Class in org.tensorflow.proto.framework: An asset file def for a single file or a set of sharded files with the same name.
AssetFileDefOrBuilder - Interface in org.tensorflow.proto.framework
Assign<T extends TType> - Class in org.tensorflow.op.core: Update 'ref' by assigning 'value' to it.
Assign(Operation) - Constructor for class org.tensorflow.op.core.Assign
assign(Operand<T>, Operand<T>, Assign.Options...) - Method in class org.tensorflow.op.Ops: Update 'ref' by assigning 'value' to it.
Assign.Inputs<T extends TType> - Class in org.tensorflow.op.core
Assign.Options - Class in org.tensorflow.op.core: Optional attributes for Assign
AssignAdd<T extends TType> - Class in org.tensorflow.op.core: Update 'ref' by adding 'value' to it.
AssignAdd(Operation) - Constructor for class org.tensorflow.op.core.AssignAdd
assignAdd(Operand<T>, Operand<T>, AssignAdd.Options...) - Method in class org.tensorflow.op.Ops: Update 'ref' by adding 'value' to it.
AssignAdd.Inputs<T extends TType> - Class in org.tensorflow.op.core
AssignAdd.Options - Class in org.tensorflow.op.core: Optional attributes for AssignAdd
AssignAddVariableOp - Class in org.tensorflow.op.core: Adds a value to the current value of a variable.
AssignAddVariableOp(Operation) - Constructor for class org.tensorflow.op.core.AssignAddVariableOp
assignAddVariableOp(Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Adds a value to the current value of a variable.
AssignAddVariableOp.Inputs - Class in org.tensorflow.op.core
assigned_device_name() - Method in class org.tensorflow.internal.c_api.Node
assigned_device_name_index() - Method in class org.tensorflow.internal.c_api.Node
AssignSub<T extends TType> - Class in org.tensorflow.op.core: Update 'ref' by subtracting 'value' from it.
AssignSub(Operation) - Constructor for class org.tensorflow.op.core.AssignSub
assignSub(Operand<T>, Operand<T>, AssignSub.Options...) - Method in class org.tensorflow.op.Ops: Update 'ref' by subtracting 'value' from it.
AssignSub.Inputs<T extends TType> - Class in org.tensorflow.op.core
AssignSub.Options - Class in org.tensorflow.op.core: Optional attributes for AssignSub
AssignSubVariableOp - Class in org.tensorflow.op.core: Subtracts a value from the current value of a variable.
AssignSubVariableOp(Operation) - Constructor for class org.tensorflow.op.core.AssignSubVariableOp
assignSubVariableOp(Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Subtracts a value from the current value of a variable.
AssignSubVariableOp.Inputs - Class in org.tensorflow.op.core
AssignVariableConcatND - Class in org.tensorflow.op.xla: Concats input tensor across all dimensions.
AssignVariableConcatND(Operation) - Constructor for class org.tensorflow.op.xla.AssignVariableConcatND
AssignVariableConcatND.Inputs - Class in org.tensorflow.op.xla
AssignVariableConcatND.Options - Class in org.tensorflow.op.xla: Optional attributes for AssignVariableConcatND
AssignVariableOp - Class in org.tensorflow.op.core: Assigns a new value to a variable.
AssignVariableOp(Operation) - Constructor for class org.tensorflow.op.core.AssignVariableOp
assignVariableOp(Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Assigns a new value to a variable.
AssignVariableOp.Inputs - Class in org.tensorflow.op.core
AsString - Class in org.tensorflow.op.dtypes: Converts each entry in the given tensor to strings.
AsString(Operation) - Constructor for class org.tensorflow.op.dtypes.AsString
asString(Operand<? extends TType>, AsString.Options...) - Method in class org.tensorflow.op.DtypesOps: Converts each entry in the given tensor to strings.
AsString.Inputs - Class in org.tensorflow.op.dtypes
AsString.Options - Class in org.tensorflow.op.dtypes: Optional attributes for AsString
asTensor() - Method in interface org.tensorflow.Operand: Returns the tensor at this operand.
asTensor() - Method in class org.tensorflow.Output: Returns the tensor at this output.
async(boolean) - Method in class org.tensorflow.EagerSession.Options: Controls how operations dispatched are actually executed.
ASYNC_INTERLEAVE_MANY_VALUE - Static variable in enum org.tensorflow.proto.data.model.NodeClass: ASYNC_INTERLEAVE_MANY = 2;
ASYNC_KNOWN_RATIO_VALUE - Static variable in enum org.tensorflow.proto.data.model.NodeClass: ASYNC_KNOWN_RATIO = 4;
Atan<T extends TType> - Class in org.tensorflow.op.math: Computes the trignometric inverse tangent of x element-wise.
Atan(Operation) - Constructor for class org.tensorflow.op.math.Atan
atan(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes the trignometric inverse tangent of x element-wise.
Atan.Inputs<T extends TType> - Class in org.tensorflow.op.math
Atan2<T extends TNumber> - Class in org.tensorflow.op.math: Computes arctangent of y/x element-wise, respecting signs of the arguments.
Atan2(Operation) - Constructor for class org.tensorflow.op.math.Atan2
atan2(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes arctangent of y/x element-wise, respecting signs of the arguments.
Atan2.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
Atanh<T extends TType> - Class in org.tensorflow.op.math: Computes inverse hyperbolic tangent of x element-wise.
Atanh(Operation) - Constructor for class org.tensorflow.op.math.Atanh
atanh(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes inverse hyperbolic tangent of x element-wise.
Atanh.Inputs<T extends TType> - Class in org.tensorflow.op.math
attach(Pointer) - Method in class org.tensorflow.internal.WeakPointerScope: Attach a pointer to this scope.
attachFunction(ConcreteFunction) - Method in class org.tensorflow.EagerSession
attachFunction(ConcreteFunction) - Method in interface org.tensorflow.ExecutionEnvironment: Attach the function and its dependencies to this execution environment, allowing it to be called.
attachFunction(ConcreteFunction) - Method in class org.tensorflow.Graph
ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ApiDef
ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.FunctionDef
ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NameAttrList
ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NodeDef
ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef
ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpInfo
AttributeMetadata - Class in org.tensorflow.op: Metadata of an op's attribute.
AttributeMetadata(boolean, long, int, long) - Constructor for class org.tensorflow.op.AttributeMetadata
AttributeMetadata(TF_AttrMetadata) - Constructor for class org.tensorflow.op.AttributeMetadata
attributeMetadata(String) - Method in class org.tensorflow.op.RawOpInputs: Get the metadata for an attribute
attributeNames() - Method in class org.tensorflow.op.RawOpInputs: Get the names of this op's attributes
attributes() - Method in class org.tensorflow.GraphOperation: Get an inspector for the graph operation's attributes.
attributes() - Method in class org.tensorflow.op.RawOpInputs: Get an inspector for the operation's attributes.
ATTRIBUTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
attributeValue(String) - Method in class org.tensorflow.op.RawOpInputs: Get the value of an attribute as an AttrValue proto.
attributeValues() - Method in class org.tensorflow.op.RawOpInputs: Get all attribute value protos
AttrValue - Class in org.tensorflow.proto.framework: Protocol buffer representing the value for an attr used to configure an Op.
AttrValue.Builder - Class in org.tensorflow.proto.framework: Protocol buffer representing the value for an attr used to configure an Op.
AttrValue.ListValue - Class in org.tensorflow.proto.framework: LINT.IfChange
AttrValue.ListValue.Builder - Class in org.tensorflow.proto.framework: LINT.IfChange
AttrValue.ListValueOrBuilder - Interface in org.tensorflow.proto.framework
AttrValue.ValueCase - Enum in org.tensorflow.proto.framework
AttrValueOrBuilder - Interface in org.tensorflow.proto.framework
AttrValueProtos - Class in org.tensorflow.proto.framework
audio() - Method in class org.tensorflow.op.audio.DecodeWav: Gets audio.
audio - Variable in class org.tensorflow.op.audio.EncodeWav.Inputs: 2-D with shape [length, channels].
audio - Variable in class org.tensorflow.op.Ops
AUDIO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.Summary.Value
AudioOps - Class in org.tensorflow.op: An API for building audio operations as Ops
AudioSpectrogram - Class in org.tensorflow.op.audio: Produces a visualization of audio data over time.
AudioSpectrogram(Operation) - Constructor for class org.tensorflow.op.audio.AudioSpectrogram
audioSpectrogram(Operand<TFloat32>, Long, Long, AudioSpectrogram.Options...) - Method in class org.tensorflow.op.AudioOps: Produces a visualization of audio data over time.
AudioSpectrogram.Inputs - Class in org.tensorflow.op.audio
AudioSpectrogram.Options - Class in org.tensorflow.op.audio: Optional attributes for AudioSpectrogram
AudioSummary - Class in org.tensorflow.op.summary: Outputs a Summary protocol buffer with audio.
AudioSummary(Operation) - Constructor for class org.tensorflow.op.summary.AudioSummary
audioSummary(Operand<TString>, Operand<TFloat32>, Operand<TFloat32>, AudioSummary.Options...) - Method in class org.tensorflow.op.SummaryOps: Outputs a Summary protocol buffer with audio.
AudioSummary.Inputs - Class in org.tensorflow.op.summary
AudioSummary.Options - Class in org.tensorflow.op.summary: Optional attributes for AudioSummary
AUTO_MIXED_PRECISION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
AUTO_MIXED_PRECISION_MKL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
AUTO_PARALLEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
AUTO_SHARD_POLICY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DistributeOptions
AUTO_VALUE - Static variable in enum org.tensorflow.proto.data.AutoShardPolicy: AUTO: Attempts FILE-based sharding, falling back to DATA-based sharding.
AutoParallelOptions - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.AutoParallelOptions
AutoParallelOptions.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.AutoParallelOptions
AutoParallelOptionsOrBuilder - Interface in org.tensorflow.proto.framework
AutoShardDataset - Class in org.tensorflow.op.data: Creates a dataset that shards the input dataset.
AutoShardDataset(Operation) - Constructor for class org.tensorflow.op.data.AutoShardDataset
AutoShardDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that shards the input dataset.
AutoShardDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.AutoShardDataset
autoShardDataset(Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, AutoShardDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that shards the input dataset.
AutoShardDataset.Inputs - Class in org.tensorflow.op.data
AutoShardDataset.Inputs - Class in org.tensorflow.op.data.experimental
AutoShardDataset.Options - Class in org.tensorflow.op.data: Optional attributes for AutoShardDataset
AutoShardDataset.Options - Class in org.tensorflow.op.data.experimental: Optional attributes for AutoShardDataset
autoShardPolicy(Long) - Static method in class org.tensorflow.op.data.AutoShardDataset: Sets the autoShardPolicy option.
autoShardPolicy - Variable in class org.tensorflow.op.data.AutoShardDataset.Inputs: The autoShardPolicy attribute
autoShardPolicy(Long) - Method in class org.tensorflow.op.data.AutoShardDataset.Options: Sets the autoShardPolicy option.
autoShardPolicy(Long) - Static method in class org.tensorflow.op.data.experimental.AutoShardDataset: Sets the autoShardPolicy option.
autoShardPolicy - Variable in class org.tensorflow.op.data.experimental.AutoShardDataset.Inputs: The autoShardPolicy attribute
autoShardPolicy(Long) - Method in class org.tensorflow.op.data.experimental.AutoShardDataset.Options: Sets the autoShardPolicy option.
AutoShardPolicy - Enum in org.tensorflow.proto.data: Represents the type of auto-sharding we enable.
AUTOTUNE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto.Node
AUTOTUNE_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.Options
AutotuneAlgorithm - Enum in org.tensorflow.proto.data.model: Algorithm used for model autotuning optimization.
AutotuneOptions - Class in org.tensorflow.proto.data: next: 4
AutotuneOptions.Builder - Class in org.tensorflow.proto.data: next: 4
AutotuneOptions.OptionalCpuBudgetCase - Enum in org.tensorflow.proto.data
AutotuneOptions.OptionalEnabledCase - Enum in org.tensorflow.proto.data
AutotuneOptions.OptionalRamBudgetCase - Enum in org.tensorflow.proto.data
AutotuneOptionsOrBuilder - Interface in org.tensorflow.proto.data
autotunerThresh(Long) - Static method in class org.tensorflow.op.tpu.PartitionedCall: Sets the autotunerThresh option.
autotunerThresh - Variable in class org.tensorflow.op.tpu.PartitionedCall.Inputs: The autotunerThresh attribute
autotunerThresh(Long) - Method in class org.tensorflow.op.tpu.PartitionedCall.Options: Sets the autotunerThresh option.
AVAILABLE_DEVICE_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.MachineConfiguration
AVAILABLE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.MemoryInfo
AvailableDeviceInfo - Class in org.tensorflow.proto.util.testlog: Matches DeviceAttributes
AvailableDeviceInfo.Builder - Class in org.tensorflow.proto.util.testlog: Matches DeviceAttributes
AvailableDeviceInfoOrBuilder - Interface in org.tensorflow.proto.util.testlog
aValGrad() - Method in class org.tensorflow.op.sparse.SparseAddGrad: Gets aValGrad.
aValues - Variable in class org.tensorflow.op.sparse.SparseAdd.Inputs: 1-D.
aValues - Variable in class org.tensorflow.op.sparse.SparseSparseMaximum.Inputs: 1-D.
aValues - Variable in class org.tensorflow.op.sparse.SparseSparseMinimum.Inputs: 1-D.
aValues - Variable in class org.tensorflow.op.sparse.SparseTensorDenseAdd.Inputs: 1-D.
aValues - Variable in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Inputs: 1-D.
average() - Method in class org.tensorflow.op.train.AccumulatorTakeGradient: Gets average.
average() - Method in class org.tensorflow.op.train.ResourceAccumulatorTakeGradient: Gets average.
AvgPool<T extends TNumber> - Class in org.tensorflow.op.nn: Performs average pooling on the input.
AvgPool(Operation) - Constructor for class org.tensorflow.op.nn.AvgPool
avgPool(Operand<T>, List<Long>, List<Long>, String, AvgPool.Options...) - Method in class org.tensorflow.op.NnOps: Performs average pooling on the input.
AvgPool.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
AvgPool.Options - Class in org.tensorflow.op.nn: Optional attributes for AvgPool
AvgPool3d<T extends TNumber> - Class in org.tensorflow.op.nn: Performs 3D average pooling on the input.
AvgPool3d(Operation) - Constructor for class org.tensorflow.op.nn.AvgPool3d
avgPool3d(Operand<T>, List<Long>, List<Long>, String, AvgPool3d.Options...) - Method in class org.tensorflow.op.NnOps: Performs 3D average pooling on the input.
AvgPool3d.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
AvgPool3d.Options - Class in org.tensorflow.op.nn: Optional attributes for AvgPool3d
AvgPool3dGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes gradients of average pooling function.
AvgPool3dGrad(Operation) - Constructor for class org.tensorflow.op.nn.AvgPool3dGrad
avgPool3dGrad(Operand<TInt32>, Operand<T>, List<Long>, List<Long>, String, AvgPool3dGrad.Options...) - Method in class org.tensorflow.op.NnOps: Computes gradients of average pooling function.
AvgPool3dGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
AvgPool3dGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for AvgPool3dGrad
AvgPoolGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes gradients of the average pooling function.
AvgPoolGrad(Operation) - Constructor for class org.tensorflow.op.nn.AvgPoolGrad
AvgPoolGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
AvgPoolGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for AvgPoolGrad
axis - Variable in class org.tensorflow.op.core.All.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.Any.Inputs: The dimensions to reduce.
axis(Integer) - Static method in class org.tensorflow.op.core.BooleanMask: Used to indicate the axis to mask from.
axis(int) - Static method in class org.tensorflow.op.core.BooleanMask: Used to indicate the axis to mask from.
axis(Integer) - Method in class org.tensorflow.op.core.BooleanMask.Options
axis(Integer) - Static method in class org.tensorflow.op.core.BooleanMaskUpdate: Used to indicate the axis to mask from.
axis(Integer) - Method in class org.tensorflow.op.core.BooleanMaskUpdate.Options
axis - Variable in class org.tensorflow.op.core.Concat.Inputs: 0-D.
axis - Variable in class org.tensorflow.op.core.ExpandDims.Inputs: 0-D (scalar).
axis - Variable in class org.tensorflow.op.core.Gather.Inputs: The axis in params to gather indices from.
axis - Variable in class org.tensorflow.op.core.Max.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.Min.Inputs: The dimensions to reduce.
axis(Long) - Static method in class org.tensorflow.op.core.OneHot: Sets the axis option.
axis - Variable in class org.tensorflow.op.core.OneHot.Inputs: The axis to fill (default: -1, a new inner-most axis).
axis(Long) - Method in class org.tensorflow.op.core.OneHot.Options: Sets the axis option.
axis - Variable in class org.tensorflow.op.core.Prod.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.ReduceAll.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.ReduceAny.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.ReduceMax.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.ReduceMin.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.ReduceProd.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.ReduceSum.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.Reverse.Inputs: 1-D.
axis - Variable in class org.tensorflow.op.core.Roll.Inputs: Dimension must be 0-D or 1-D.
axis - Variable in class org.tensorflow.op.core.Split.Inputs: 0-D.
axis - Variable in class org.tensorflow.op.core.SplitV.Inputs: 0-D.
axis(List<Long>) - Static method in class org.tensorflow.op.core.Squeeze: Sets the axis option.
axis(Long...) - Static method in class org.tensorflow.op.core.Squeeze: Sets the axis option.
axis - Variable in class org.tensorflow.op.core.Squeeze.Inputs: If specified, only squeezes the dimensions listed.
axis(List<Long>) - Method in class org.tensorflow.op.core.Squeeze.Options: Sets the axis option.
axis(Long...) - Method in class org.tensorflow.op.core.Squeeze.Options: Sets the axis option.
axis(Long) - Static method in class org.tensorflow.op.core.Stack: Sets the axis option.
axis - Variable in class org.tensorflow.op.core.Stack.Inputs: Dimension along which to pack.
axis(Long) - Method in class org.tensorflow.op.core.Stack.Options: Sets the axis option.
axis - Variable in class org.tensorflow.op.core.Sum.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.Unique.Inputs: A Tensor of type int32 (default: None).
axis - Variable in class org.tensorflow.op.core.UniqueWithCounts.Inputs: A Tensor of type int32 (default: None).
axis(Long) - Static method in class org.tensorflow.op.core.Unstack: Sets the axis option.
axis - Variable in class org.tensorflow.op.core.Unstack.Inputs: Dimension along which to unpack.
axis(Long) - Method in class org.tensorflow.op.core.Unstack.Options: Sets the axis option.
axis - Variable in class org.tensorflow.op.linalg.EuclideanNorm.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.math.Cumprod.Inputs: A Tensor of type int32 (default: 0).
axis - Variable in class org.tensorflow.op.math.Cumsum.Inputs: A Tensor of type int32 (default: 0).
axis - Variable in class org.tensorflow.op.math.CumulativeLogsumexp.Inputs: A Tensor of type int32 (default: 0).
axis - Variable in class org.tensorflow.op.math.Mean.Inputs: The dimensions to reduce.
axis(Long) - Static method in class org.tensorflow.op.quantization.Dequantize: Sets the axis option.
axis - Variable in class org.tensorflow.op.quantization.Dequantize.Inputs: The axis attribute
axis(Long) - Method in class org.tensorflow.op.quantization.Dequantize.Options: Sets the axis option.
axis(Long) - Static method in class org.tensorflow.op.quantization.Quantize: Sets the axis option.
axis - Variable in class org.tensorflow.op.quantization.Quantize.Inputs: The axis attribute
axis(Long) - Method in class org.tensorflow.op.quantization.Quantize.Options: Sets the axis option.
axis(Long) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantize: Sets the axis option.
axis - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs: The axis attribute
axis(Long) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantize.Options: Sets the axis option.
axis(Long) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3: Sets the axis option.
axis - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs: The axis attribute
axis(Long) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Options: Sets the axis option.
axis(Long) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4: Sets the axis option.
axis - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: If specified, this axis is treated as a channel or slice axis, and a separate quantization range is used for each channel or slice along this axis.
axis(Long) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Options: Sets the axis option.
axis(Long) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad: Sets the axis option.
axis - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad.Inputs: The axis attribute
axis(Long) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad.Options: Sets the axis option.
axis - Variable in class org.tensorflow.op.risc.RiscConcat.Inputs: The axis input
axis - Variable in class org.tensorflow.op.risc.RiscGather.Inputs: The axis input
axis - Variable in class org.tensorflow.op.risc.RiscReduce.Inputs: The axis input
axis - Variable in class org.tensorflow.op.risc.RiscReverse.Inputs: The axis input
axis - Variable in class org.tensorflow.op.risc.RiscSort.Inputs: The axis input

B

b - Variable in class org.tensorflow.op.linalg.Cross.Inputs: Another tensor, of same type and shape as a.
b - Variable in class org.tensorflow.op.linalg.MatMul.Inputs: The b input
b - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: Must be a two-dimensional tensor.
b - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: A matrix to be multiplied and must be a two-dimensional tensor of type qint8.
b - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: A matrix to be multiplied and must be a two-dimensional tensor of type qint8.
b - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: A matrix to be multiplied and must be a two-dimensional tensor of type qint8.
b - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixAdd.Inputs: A CSRSparseMatrix.
b - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs: A dense tensor.
b - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMul.Inputs: A dense tensor.
b - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Inputs: A CSRSparseMatrix.
b - Variable in class org.tensorflow.op.math.Betainc.Inputs: The b input
b - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: The bias vector.
b - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The bias vector.
b - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: The bias vector.
b - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The bias vector.
b - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The b input
b - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The b input
b - Variable in class org.tensorflow.op.risc.RiscDot.Inputs: The b input
b - Variable in class org.tensorflow.op.sparse.SparseMatMul.Inputs: The b input
b - Variable in class org.tensorflow.op.sparse.SparseTensorDenseAdd.Inputs: ndims-D Tensor.
b - Variable in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Inputs: 2-D.
b - Variable in class org.tensorflow.op.xla.Einsum.Inputs: The b input
B_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AttrValue
B_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AttrValue.ListValue
BACK_PROP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.WhileContextDef
backprop - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad.Inputs: 4D backprop Tensor.
backprop() - Method in class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits: Gets backprop.
backprop() - Method in class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits: Gets backprop.
backprops() - Method in class org.tensorflow.op.data.LeakyReluGrad: Gets backprops.
backprops() - Method in class org.tensorflow.op.math.SoftplusGrad: Gets backprops.
backprops() - Method in class org.tensorflow.op.nn.EluGrad: Gets backprops.
backprops() - Method in class org.tensorflow.op.nn.Relu6Grad: Gets backprops.
backprops() - Method in class org.tensorflow.op.nn.ReluGrad: Gets backprops.
backprops() - Method in class org.tensorflow.op.nn.SeluGrad: Gets backprops.
backprops() - Method in class org.tensorflow.op.nn.SoftsignGrad: Gets backprops.
backprops() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient: Gets backprops.
backpropsWrtInput() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient: Gets backpropsWrtInput.
backpropsWrtInput() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient: Gets backpropsWrtInput.
backpropValGrad - Variable in class org.tensorflow.op.sparse.SparseAddGrad.Inputs: 1-D with shape [nnz(sum)].
backpropValGrad - Variable in class org.tensorflow.op.sparse.SparseSliceGrad.Inputs: 1-D.
backpropWrtMax() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient: Gets backpropWrtMax.
backpropWrtMax() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient: Gets backpropWrtMax.
backpropWrtMin() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient: Gets backpropWrtMin.
backpropWrtMin() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient: Gets backpropWrtMin.
BAD_CONSUMERS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.VersionDef
badColor(Tensor) - Static method in class org.tensorflow.op.summary.ImageSummary: Sets the badColor option.
badColor - Variable in class org.tensorflow.op.summary.ImageSummary.Inputs: Color to use for pixels with non-finite values.
badColor(Tensor) - Method in class org.tensorflow.op.summary.ImageSummary.Options: Sets the badColor option.
badColor - Variable in class org.tensorflow.op.summary.WriteImageSummary.Inputs: The badColor input
band() - Method in class org.tensorflow.op.linalg.BandPart: Gets band.
band() - Method in class org.tensorflow.op.linalg.BatchMatrixBandPart: Gets band.
BandedTriangularSolve<T extends TType> - Class in org.tensorflow.op.linalg: The BandedTriangularSolve operation
BandedTriangularSolve(Operation) - Constructor for class org.tensorflow.op.linalg.BandedTriangularSolve
BandedTriangularSolve.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
BandedTriangularSolve.Options - Class in org.tensorflow.op.linalg: Optional attributes for BandedTriangularSolve
BandPart<T extends TType> - Class in org.tensorflow.op.linalg: Copy a tensor setting everything outside a central band in each innermost matrix to zero.
BandPart(Operation) - Constructor for class org.tensorflow.op.linalg.BandPart
bandPart(Operand<T>, Operand, Operand) - Method in class org.tensorflow.op.LinalgOps: Copy a tensor setting everything outside a central band in each innermost matrix to zero.
BandPart.Inputs<T extends TType,U extends TNumber> - Class in org.tensorflow.op.linalg
BANDWIDTH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DeviceProperties
BARE_CONCRETE_FUNCTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedObject
Barrier - Class in org.tensorflow.op.core: Defines a barrier that persists across different graph executions.
Barrier(Operation) - Constructor for class org.tensorflow.op.core.Barrier
barrier(List<Class<? extends TType>>, Barrier.Options...) - Method in class org.tensorflow.op.Ops: Defines a barrier that persists across different graph executions.
Barrier.Inputs - Class in org.tensorflow.op.core
Barrier.Options - Class in org.tensorflow.op.core: Optional attributes for Barrier
BarrierClose - Class in org.tensorflow.op.core: Closes the given barrier.
BarrierClose(Operation) - Constructor for class org.tensorflow.op.core.BarrierClose
barrierClose(Operand<TString>, BarrierClose.Options...) - Method in class org.tensorflow.op.Ops: Closes the given barrier.
BarrierClose.Inputs - Class in org.tensorflow.op.core
BarrierClose.Options - Class in org.tensorflow.op.core: Optional attributes for BarrierClose
BarrierIncompleteSize - Class in org.tensorflow.op.core: Computes the number of incomplete elements in the given barrier.
BarrierIncompleteSize(Operation) - Constructor for class org.tensorflow.op.core.BarrierIncompleteSize
barrierIncompleteSize(Operand<TString>) - Method in class org.tensorflow.op.Ops: Computes the number of incomplete elements in the given barrier.
BarrierIncompleteSize.Inputs - Class in org.tensorflow.op.core
BarrierInsertMany - Class in org.tensorflow.op.core: For each key, assigns the respective value to the specified component.
BarrierInsertMany(Operation) - Constructor for class org.tensorflow.op.core.BarrierInsertMany
barrierInsertMany(Operand<TString>, Operand<TString>, Operand<? extends TType>, Long) - Method in class org.tensorflow.op.Ops: For each key, assigns the respective value to the specified component.
BarrierInsertMany.Inputs - Class in org.tensorflow.op.core
BarrierReadySize - Class in org.tensorflow.op.core: Computes the number of complete elements in the given barrier.
BarrierReadySize(Operation) - Constructor for class org.tensorflow.op.core.BarrierReadySize
barrierReadySize(Operand<TString>) - Method in class org.tensorflow.op.Ops: Computes the number of complete elements in the given barrier.
BarrierReadySize.Inputs - Class in org.tensorflow.op.core
BarrierTakeMany - Class in org.tensorflow.op.core: Takes the given number of completed elements from a barrier.
BarrierTakeMany(Operation) - Constructor for class org.tensorflow.op.core.BarrierTakeMany
barrierTakeMany(Operand<TString>, Operand<TInt32>, List<Class<? extends TType>>, BarrierTakeMany.Options...) - Method in class org.tensorflow.op.Ops: Takes the given number of completed elements from a barrier.
BarrierTakeMany.Inputs - Class in org.tensorflow.op.core
BarrierTakeMany.Options - Class in org.tensorflow.op.core: Optional attributes for BarrierTakeMany
baseDilations - Variable in class org.tensorflow.op.xla.ReduceWindow.Inputs: The baseDilations input
BaseGradientAdapter - Class in org.tensorflow: Helper base class for custom gradient adapters INTERNAL USE ONLY
BaseGradientAdapter() - Constructor for class org.tensorflow.BaseGradientAdapter
basename - Variable in class org.tensorflow.op.io.ShardedFilename.Inputs: The basename input
basename - Variable in class org.tensorflow.op.io.ShardedFilespec.Inputs: The basename input
baseScope() - Method in class org.tensorflow.EagerSession
baseScope() - Method in interface org.tensorflow.ExecutionEnvironment: Get the top level scope for this execution environment.
baseScope() - Method in class org.tensorflow.Graph
Batch - Class in org.tensorflow.op.core: Batches all input tensors nondeterministically.
Batch(Operation) - Constructor for class org.tensorflow.op.core.Batch
batch(Iterable<Operand<?>>, Long, Long, Long, Long, Batch.Options...) - Method in class org.tensorflow.op.Ops: Batches all input tensors nondeterministically.
batch - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingIntegerBatch.Inputs: A list of 1D tensors, one for each embedding table, containing the indices into the tables.
Batch.Inputs - Class in org.tensorflow.op.core
Batch.Options - Class in org.tensorflow.op.core: Optional attributes for Batch
BatchCholesky<T extends TNumber> - Class in org.tensorflow.op.linalg: The BatchCholesky operation
BatchCholesky(Operation) - Constructor for class org.tensorflow.op.linalg.BatchCholesky
batchCholesky(Operand<T>) - Method in class org.tensorflow.op.LinalgOps: The BatchCholesky operation
BatchCholesky.Inputs<T extends TNumber> - Class in org.tensorflow.op.linalg
BatchCholeskyGrad<T extends TNumber> - Class in org.tensorflow.op.linalg: The BatchCholeskyGrad operation
BatchCholeskyGrad(Operation) - Constructor for class org.tensorflow.op.linalg.BatchCholeskyGrad
batchCholeskyGrad(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.LinalgOps: The BatchCholeskyGrad operation
BatchCholeskyGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.linalg
BatchDataset - Class in org.tensorflow.op.data: Creates a dataset that batches batch_size elements from input_dataset.
BatchDataset(Operation) - Constructor for class org.tensorflow.op.data.BatchDataset
batchDataset(Operand<? extends TType>, Operand<TInt64>, Operand<TBool>, List<Class<? extends TType>>, List<Shape>, BatchDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that batches batch_size elements from input_dataset.
BatchDataset.Inputs - Class in org.tensorflow.op.data
BatchDataset.Options - Class in org.tensorflow.op.data: Optional attributes for BatchDataset
batchDim(Long) - Static method in class org.tensorflow.op.core.ReverseSequence: Sets the batchDim option.
batchDim - Variable in class org.tensorflow.op.core.ReverseSequence.Inputs: The dimension along which reversal is performed.
batchDim(Long) - Method in class org.tensorflow.op.core.ReverseSequence.Options: Sets the batchDim option.
batchDims(Long) - Static method in class org.tensorflow.op.core.Gather: Sets the batchDims option.
batchDims - Variable in class org.tensorflow.op.core.Gather.Inputs: The batchDims attribute
batchDims(Long) - Method in class org.tensorflow.op.core.Gather.Options: Sets the batchDims option.
batchDims(Long) - Static method in class org.tensorflow.op.core.ResourceGather: Sets the batchDims option.
batchDims - Variable in class org.tensorflow.op.core.ResourceGather.Inputs: The batchDims attribute
batchDims(Long) - Method in class org.tensorflow.op.core.ResourceGather.Options: Sets the batchDims option.
batchDims(Long) - Static method in class org.tensorflow.op.risc.RiscGather: Sets the batchDims option.
batchDims - Variable in class org.tensorflow.op.risc.RiscGather.Inputs: The batchDims attribute
batchDims(Long) - Method in class org.tensorflow.op.risc.RiscGather.Options: Sets the batchDims option.
batchedGrad() - Method in class org.tensorflow.op.core.UnbatchGrad: Gets batchedGrad.
batchedInput - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariant.Inputs: A `bool` denoting whether the input is a batched `RaggedTensor`.
batchedTensor - Variable in class org.tensorflow.op.core.Unbatch.Inputs: The batchedTensor input
batchedTensors() - Method in class org.tensorflow.op.core.Batch: Gets batchedTensors.
BatchFft - Class in org.tensorflow.op.signal: The BatchFFT operation
BatchFft(Operation) - Constructor for class org.tensorflow.op.signal.BatchFft
batchFft(Operand<? extends TType>) - Method in class org.tensorflow.op.SignalOps: The BatchFFT operation
BatchFft.Inputs - Class in org.tensorflow.op.signal
BatchFft2d - Class in org.tensorflow.op.signal: The BatchFFT2D operation
BatchFft2d(Operation) - Constructor for class org.tensorflow.op.signal.BatchFft2d
batchFft2d(Operand<? extends TType>) - Method in class org.tensorflow.op.SignalOps: The BatchFFT2D operation
BatchFft2d.Inputs - Class in org.tensorflow.op.signal
BatchFft3d - Class in org.tensorflow.op.signal: The BatchFFT3D operation
BatchFft3d(Operation) - Constructor for class org.tensorflow.op.signal.BatchFft3d
batchFft3d(Operand<? extends TType>) - Method in class org.tensorflow.op.SignalOps: The BatchFFT3D operation
BatchFft3d.Inputs - Class in org.tensorflow.op.signal
BatchFunction - Class in org.tensorflow.op.core: Batches all the inputs tensors to the computation done by the function.
BatchFunction(Operation) - Constructor for class org.tensorflow.op.core.BatchFunction
batchFunction(Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, Long, Long, Long, List<Class<? extends TType>>, BatchFunction.Options...) - Method in class org.tensorflow.op.Ops: Batches all the inputs tensors to the computation done by the function.
BatchFunction.Inputs - Class in org.tensorflow.op.core
BatchFunction.Options - Class in org.tensorflow.op.core: Optional attributes for BatchFunction
BatchIfft - Class in org.tensorflow.op.signal: The BatchIFFT operation
BatchIfft(Operation) - Constructor for class org.tensorflow.op.signal.BatchIfft
batchIfft(Operand<? extends TType>) - Method in class org.tensorflow.op.SignalOps: The BatchIFFT operation
BatchIfft.Inputs - Class in org.tensorflow.op.signal
BatchIfft2d - Class in org.tensorflow.op.signal: The BatchIFFT2D operation
BatchIfft2d(Operation) - Constructor for class org.tensorflow.op.signal.BatchIfft2d
batchIfft2d(Operand<? extends TType>) - Method in class org.tensorflow.op.SignalOps: The BatchIFFT2D operation
BatchIfft2d.Inputs - Class in org.tensorflow.op.signal
BatchIfft3d - Class in org.tensorflow.op.signal: The BatchIFFT3D operation
BatchIfft3d(Operation) - Constructor for class org.tensorflow.op.signal.BatchIfft3d
batchIfft3d(Operand<? extends TType>) - Method in class org.tensorflow.op.SignalOps: The BatchIFFT3D operation
BatchIfft3d.Inputs - Class in org.tensorflow.op.signal
batchIndex() - Method in class org.tensorflow.op.core.Batch: Gets batchIndex.
batchIndex - Variable in class org.tensorflow.op.core.Unbatch.Inputs: The batchIndex input
batchIndex - Variable in class org.tensorflow.op.core.UnbatchGrad.Inputs: The batchIndex input
batchingQueue(String) - Static method in class org.tensorflow.op.core.Batch: Sets the batchingQueue option.
batchingQueue - Variable in class org.tensorflow.op.core.Batch.Inputs: The batchingQueue attribute
batchingQueue(String) - Method in class org.tensorflow.op.core.Batch.Options: Sets the batchingQueue option.
batchingQueue(String) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the batchingQueue option.
batchingQueue - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: The batchingQueue attribute
batchingQueue(String) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the batchingQueue option.
BatchMatMul<V extends TType> - Class in org.tensorflow.op.train: Multiplies slices of two tensors in batches.
BatchMatMul(Operation) - Constructor for class org.tensorflow.op.train.BatchMatMul
batchMatMul(Operand<? extends TType>, Operand<? extends TType>, Class<V>, BatchMatMul.Options...) - Method in class org.tensorflow.op.TrainOps: Multiplies slices of two tensors in batches.
BatchMatMul.Inputs - Class in org.tensorflow.op.train
BatchMatMul.Options - Class in org.tensorflow.op.train: Optional attributes for BatchMatMul
BatchMatrixBandPart<T extends TType> - Class in org.tensorflow.op.linalg: The BatchMatrixBandPart operation
BatchMatrixBandPart(Operation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixBandPart
batchMatrixBandPart(Operand<T>, Operand<TInt64>, Operand<TInt64>) - Method in class org.tensorflow.op.LinalgOps: The BatchMatrixBandPart operation
BatchMatrixBandPart.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
BatchMatrixDeterminant<T extends TType> - Class in org.tensorflow.op.linalg: The BatchMatrixDeterminant operation
BatchMatrixDeterminant(Operation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixDeterminant
batchMatrixDeterminant(Operand<T>) - Method in class org.tensorflow.op.LinalgOps: The BatchMatrixDeterminant operation
BatchMatrixDeterminant.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
BatchMatrixDiag<T extends TType> - Class in org.tensorflow.op.linalg: The BatchMatrixDiag operation
BatchMatrixDiag(Operation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixDiag
batchMatrixDiag(Operand<T>) - Method in class org.tensorflow.op.LinalgOps: The BatchMatrixDiag operation
BatchMatrixDiag.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
BatchMatrixDiagPart<T extends TType> - Class in org.tensorflow.op.linalg: The BatchMatrixDiagPart operation
BatchMatrixDiagPart(Operation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixDiagPart
batchMatrixDiagPart(Operand<T>) - Method in class org.tensorflow.op.LinalgOps: The BatchMatrixDiagPart operation
BatchMatrixDiagPart.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
BatchMatrixInverse<T extends TNumber> - Class in org.tensorflow.op.linalg: The BatchMatrixInverse operation
BatchMatrixInverse(Operation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixInverse
batchMatrixInverse(Operand<T>, BatchMatrixInverse.Options...) - Method in class org.tensorflow.op.LinalgOps: The BatchMatrixInverse operation
BatchMatrixInverse.Inputs<T extends TNumber> - Class in org.tensorflow.op.linalg
BatchMatrixInverse.Options - Class in org.tensorflow.op.linalg: Optional attributes for BatchMatrixInverse
BatchMatrixSetDiag<T extends TType> - Class in org.tensorflow.op.linalg: The BatchMatrixSetDiag operation
BatchMatrixSetDiag(Operation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixSetDiag
batchMatrixSetDiag(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.LinalgOps: The BatchMatrixSetDiag operation
BatchMatrixSetDiag.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
BatchMatrixSolve<T extends TNumber> - Class in org.tensorflow.op.linalg: The BatchMatrixSolve operation
BatchMatrixSolve(Operation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixSolve
batchMatrixSolve(Operand<T>, Operand<T>, BatchMatrixSolve.Options...) - Method in class org.tensorflow.op.LinalgOps: The BatchMatrixSolve operation
BatchMatrixSolve.Inputs<T extends TNumber> - Class in org.tensorflow.op.linalg
BatchMatrixSolve.Options - Class in org.tensorflow.op.linalg: Optional attributes for BatchMatrixSolve
BatchMatrixSolveLs<T extends TNumber> - Class in org.tensorflow.op.linalg: The BatchMatrixSolveLs operation
BatchMatrixSolveLs(Operation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixSolveLs
batchMatrixSolveLs(Operand<T>, Operand<T>, Operand<TFloat64>, BatchMatrixSolveLs.Options...) - Method in class org.tensorflow.op.LinalgOps: The BatchMatrixSolveLs operation
BatchMatrixSolveLs.Inputs<T extends TNumber> - Class in org.tensorflow.op.linalg
BatchMatrixSolveLs.Options - Class in org.tensorflow.op.linalg: Optional attributes for BatchMatrixSolveLs
BatchMatrixTriangularSolve<T extends TNumber> - Class in org.tensorflow.op.linalg: The BatchMatrixTriangularSolve operation
BatchMatrixTriangularSolve(Operation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixTriangularSolve
batchMatrixTriangularSolve(Operand<T>, Operand<T>, BatchMatrixTriangularSolve.Options...) - Method in class org.tensorflow.op.LinalgOps: The BatchMatrixTriangularSolve operation
BatchMatrixTriangularSolve.Inputs<T extends TNumber> - Class in org.tensorflow.op.linalg
BatchMatrixTriangularSolve.Options - Class in org.tensorflow.op.linalg: Optional attributes for BatchMatrixTriangularSolve
batchMean() - Method in class org.tensorflow.op.nn.FusedBatchNorm: Gets batchMean.
BatchNormWithGlobalNormalization<T extends TType> - Class in org.tensorflow.op.nn: Batch normalization.
BatchNormWithGlobalNormalization(Operation) - Constructor for class org.tensorflow.op.nn.BatchNormWithGlobalNormalization
batchNormWithGlobalNormalization(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Float, Boolean) - Method in class org.tensorflow.op.NnOps: Batch normalization.
BatchNormWithGlobalNormalization.Inputs<T extends TType> - Class in org.tensorflow.op.nn
BatchNormWithGlobalNormalizationGrad<T extends TType> - Class in org.tensorflow.op.nn: Gradients for batch normalization.
BatchNormWithGlobalNormalizationGrad(Operation) - Constructor for class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad
batchNormWithGlobalNormalizationGrad(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Float, Boolean) - Method in class org.tensorflow.op.NnOps: Gradients for batch normalization.
BatchNormWithGlobalNormalizationGrad.Inputs<T extends TType> - Class in org.tensorflow.op.nn
BatchSelfAdjointEig<T extends TNumber> - Class in org.tensorflow.op.linalg: The BatchSelfAdjointEigV2 operation
BatchSelfAdjointEig(Operation) - Constructor for class org.tensorflow.op.linalg.BatchSelfAdjointEig
batchSelfAdjointEig(Operand<T>, BatchSelfAdjointEig.Options...) - Method in class org.tensorflow.op.LinalgOps: The BatchSelfAdjointEigV2 operation
BatchSelfAdjointEig.Inputs<T extends TNumber> - Class in org.tensorflow.op.linalg
BatchSelfAdjointEig.Options - Class in org.tensorflow.op.linalg: Optional attributes for BatchSelfAdjointEig
batchSize - Variable in class org.tensorflow.op.core.Skipgram.Inputs: The size of produced batch.
batchSize - Variable in class org.tensorflow.op.data.BatchDataset.Inputs: A scalar representing the number of elements to accumulate in a batch.
batchSize - Variable in class org.tensorflow.op.data.DenseToSparseBatchDataset.Inputs: A scalar representing the number of elements to accumulate in a batch.
batchSize - Variable in class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset.Inputs: A scalar representing the number of elements to accumulate in a batch.
batchSize - Variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs: A scalar representing the number of elements to accumulate in a batch.
batchSize - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: A scalar representing the number of elements to accumulate in a batch.
batchSize - Variable in class org.tensorflow.op.data.PaddedBatchDataset.Inputs: A scalar representing the number of elements to accumulate in a batch.
batchSize - Variable in class org.tensorflow.op.data.ParallelBatchDataset.Inputs: The batchSize input
batchSize(Long) - Static method in class org.tensorflow.op.random.RecordInput: Sets the batchSize option.
batchSize - Variable in class org.tensorflow.op.random.RecordInput.Inputs: The batch size.
batchSize(Long) - Method in class org.tensorflow.op.random.RecordInput.Options: Sets the batchSize option.
batchSize() - Method in class org.tensorflow.op.train.ComputeBatchSize: Gets batchSize.
batchSizes - Variable in class org.tensorflow.op.data.RebatchDatasetV2.Inputs: A vector of integers representing the size of batches to produce.
BatchSvd<T extends TType> - Class in org.tensorflow.op.linalg: The BatchSvd operation
BatchSvd(Operation) - Constructor for class org.tensorflow.op.linalg.BatchSvd
batchSvd(Operand<T>, BatchSvd.Options...) - Method in class org.tensorflow.op.LinalgOps: The BatchSvd operation
BatchSvd.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
BatchSvd.Options - Class in org.tensorflow.op.linalg: Optional attributes for BatchSvd
batchTimeoutMicros - Variable in class org.tensorflow.op.core.Batch.Inputs: The batchTimeoutMicros attribute
batchTimeoutMicros - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: Maximum number of microseconds to wait before outputting an incomplete batch.
BatchToSpace<T extends TType> - Class in org.tensorflow.op.core: BatchToSpace for 4-D tensors of type T.
BatchToSpace(Operation) - Constructor for class org.tensorflow.op.core.BatchToSpace
batchToSpace(Operand<T>, Operand<? extends TNumber>, Long) - Method in class org.tensorflow.op.Ops: BatchToSpace for 4-D tensors of type T.
BatchToSpace.Inputs<T extends TType> - Class in org.tensorflow.op.core
BatchToSpaceNd<T extends TType> - Class in org.tensorflow.op.core: BatchToSpace for N-D tensors of type T.
BatchToSpaceNd(Operation) - Constructor for class org.tensorflow.op.core.BatchToSpaceNd
batchToSpaceNd(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.Ops: BatchToSpace for N-D tensors of type T.
BatchToSpaceNd.Inputs<T extends TType> - Class in org.tensorflow.op.core
batchVariance() - Method in class org.tensorflow.op.nn.FusedBatchNorm: Gets batchVariance.
bboxDeltas - Variable in class org.tensorflow.op.image.GenerateBoundingBoxProposals.Inputs: A 4-D float tensor of shape [num_images, height, width, 4 x num_anchors].
bboxes() - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Gets bboxes.
bboxes() - Method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Gets bboxes.
bC - Variable in class org.tensorflow.op.nn.GRUBlockCell.Inputs: The bC input
bC - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The bC input
beamWidth - Variable in class org.tensorflow.op.nn.CtcBeamSearchDecoder.Inputs: A scalar >= 0 (beam search beam width).
begin() - Method in class org.tensorflow.internal.c_api.NameMap
begin() - Method in class org.tensorflow.internal.c_api.NativeOutputVector
begin - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The begin input
begin - Variable in class org.tensorflow.op.core.Slice.Inputs: begin[i] specifies the offset into the 'i'th dimension of 'input' to slice from.
begin - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: begin[k] specifies the offset into the kth range specification.
begin - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The begin input
begin - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The begin input
begin - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The begin input
begin() - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Gets begin.
begin() - Method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Gets begin.
begin - Variable in class org.tensorflow.op.risc.RiscSlice.Inputs: The begin input
beginMask(Long) - Static method in class org.tensorflow.op.core.ResourceStridedSliceAssign: Sets the beginMask option.
beginMask - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The beginMask attribute
beginMask(Long) - Method in class org.tensorflow.op.core.ResourceStridedSliceAssign.Options: Sets the beginMask option.
beginMask(Long) - Static method in class org.tensorflow.op.core.StridedSlice: Sets the beginMask option.
beginMask - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: a bitmask where a bit i being 1 means to ignore the begin value and instead use the largest interval possible.
beginMask(Long) - Method in class org.tensorflow.op.core.StridedSlice.Options: Sets the beginMask option.
beginMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceAssign: Sets the beginMask option.
beginMask - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The beginMask attribute
beginMask(Long) - Method in class org.tensorflow.op.core.StridedSliceAssign.Options: Sets the beginMask option.
beginMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceGrad: Sets the beginMask option.
beginMask - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The beginMask attribute
beginMask(Long) - Method in class org.tensorflow.op.core.StridedSliceGrad.Options: Sets the beginMask option.
beginMask(Long) - Static method in class org.tensorflow.op.core.TensorStridedSliceUpdate: Sets the beginMask option.
beginMask - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The beginMask attribute
beginMask(Long) - Method in class org.tensorflow.op.core.TensorStridedSliceUpdate.Options: Sets the beginMask option.
BENCHMARK_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.TestResults
BenchmarkEntries - Class in org.tensorflow.proto.util.testlog: Protobuf type tensorflow.BenchmarkEntries
BenchmarkEntries.Builder - Class in org.tensorflow.proto.util.testlog: Protobuf type tensorflow.BenchmarkEntries
BenchmarkEntriesOrBuilder - Interface in org.tensorflow.proto.util.testlog
BenchmarkEntry - Class in org.tensorflow.proto.util.testlog: Each unit test or benchmark in a test or benchmark run provides some set of information.
BenchmarkEntry.Builder - Class in org.tensorflow.proto.util.testlog: Each unit test or benchmark in a test or benchmark run provides some set of information.
BenchmarkEntryOrBuilder - Interface in org.tensorflow.proto.util.testlog
benefits - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs: Value of benefits used in the MDL Adagrad Light optimization algorithm.
benefits() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters: Gets benefits.
BesselI0<T extends TNumber> - Class in org.tensorflow.op.math: The BesselI0 operation
BesselI0(Operation) - Constructor for class org.tensorflow.op.math.BesselI0
BesselI0.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
BesselI0e<T extends TNumber> - Class in org.tensorflow.op.math: The BesselI0e operation
BesselI0e(Operation) - Constructor for class org.tensorflow.op.math.BesselI0e
BesselI0e.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
BesselI1<T extends TNumber> - Class in org.tensorflow.op.math: The BesselI1 operation
BesselI1(Operation) - Constructor for class org.tensorflow.op.math.BesselI1
BesselI1.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
BesselI1e<T extends TNumber> - Class in org.tensorflow.op.math: The BesselI1e operation
BesselI1e(Operation) - Constructor for class org.tensorflow.op.math.BesselI1e
BesselI1e.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
BesselJ0<T extends TNumber> - Class in org.tensorflow.op.math.special: The BesselJ0 operation
BesselJ0(Operation) - Constructor for class org.tensorflow.op.math.special.BesselJ0
BesselJ0.Inputs<T extends TNumber> - Class in org.tensorflow.op.math.special
BesselJ1<T extends TNumber> - Class in org.tensorflow.op.math.special: The BesselJ1 operation
BesselJ1(Operation) - Constructor for class org.tensorflow.op.math.special.BesselJ1
BesselJ1.Inputs<T extends TNumber> - Class in org.tensorflow.op.math.special
BesselK0<T extends TNumber> - Class in org.tensorflow.op.math.special: The BesselK0 operation
BesselK0(Operation) - Constructor for class org.tensorflow.op.math.special.BesselK0
BesselK0.Inputs<T extends TNumber> - Class in org.tensorflow.op.math.special
BesselK0e<T extends TNumber> - Class in org.tensorflow.op.math.special: The BesselK0e operation
BesselK0e(Operation) - Constructor for class org.tensorflow.op.math.special.BesselK0e
BesselK0e.Inputs<T extends TNumber> - Class in org.tensorflow.op.math.special
BesselK1<T extends TNumber> - Class in org.tensorflow.op.math.special: The BesselK1 operation
BesselK1(Operation) - Constructor for class org.tensorflow.op.math.special.BesselK1
BesselK1.Inputs<T extends TNumber> - Class in org.tensorflow.op.math.special
BesselK1e<T extends TNumber> - Class in org.tensorflow.op.math.special: The BesselK1e operation
BesselK1e(Operation) - Constructor for class org.tensorflow.op.math.special.BesselK1e
BesselK1e.Inputs<T extends TNumber> - Class in org.tensorflow.op.math.special
BesselY0<T extends TNumber> - Class in org.tensorflow.op.math.special: The BesselY0 operation
BesselY0(Operation) - Constructor for class org.tensorflow.op.math.special.BesselY0
BesselY0.Inputs<T extends TNumber> - Class in org.tensorflow.op.math.special
BesselY1<T extends TNumber> - Class in org.tensorflow.op.math.special: The BesselY1 operation
BesselY1(Operation) - Constructor for class org.tensorflow.op.math.special.BesselY1
BesselY1.Inputs<T extends TNumber> - Class in org.tensorflow.op.math.special
beta - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixAdd.Inputs: A constant scalar.
beta - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization.Inputs: A 1D beta Tensor with size matching the last dimension of t.
beta(Float) - Static method in class org.tensorflow.op.nn.LocalResponseNormalization: Sets the beta option.
beta - Variable in class org.tensorflow.op.nn.LocalResponseNormalization.Inputs: An exponent.
beta(Float) - Method in class org.tensorflow.op.nn.LocalResponseNormalization.Options: Sets the beta option.
beta(Float) - Static method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad: Sets the beta option.
beta - Variable in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Inputs: An exponent.
beta(Float) - Method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Options: Sets the beta option.
beta - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: A 1D beta Tensor with size matching the last dimension of t.
beta - Variable in class org.tensorflow.op.train.ApplyAddSign.Inputs: Must be a scalar.
beta - Variable in class org.tensorflow.op.train.ApplyPowerSign.Inputs: Must be a scalar.
beta - Variable in class org.tensorflow.op.train.ResourceApplyAddSign.Inputs: Must be a scalar.
beta - Variable in class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs: Must be a scalar.
beta1 - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: Momentum factor.
beta1 - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: Momentum factor.
beta1 - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: Momentum factor.
beta1 - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: Momentum factor.
beta1 - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Momentum factor.
beta1Power - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: Must be a scalar.
beta1Power - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: Must be a scalar.
beta1Power - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: Must be a scalar.
beta1Power - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: Must be a scalar.
beta1Power - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Must be a scalar.
beta2 - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: Momentum factor.
beta2 - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: Momentum factor.
beta2 - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: Momentum factor.
beta2 - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: Momentum factor.
beta2 - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Momentum factor.
beta2Power - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: Must be a scalar.
beta2Power - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: Must be a scalar.
beta2Power - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Must be a scalar.
Betainc<T extends TNumber> - Class in org.tensorflow.op.math: Compute the regularized incomplete beta integral \(I_x(a, b)\).
Betainc(Operation) - Constructor for class org.tensorflow.op.math.Betainc
betainc(Operand<T>, Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Compute the regularized incomplete beta integral \(I_x(a, b)\).
Betainc.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
betaMax - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the highest quantized offset.
betaMin - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the lowest quantized offset.
BfcMemoryMapProtos - Class in org.tensorflow.proto.util
bGrad() - Method in class org.tensorflow.op.nn.BlockLSTMGrad: Gets bGrad.
bias - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: A 1D bias tensor with size matching inner dimension of b (after being transposed if transposed_b is non-zero).
bias - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: A 1D bias tensor with size matching with inner dimension of b (after being transposed if transposed_b is non-zero).
bias - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: A 1D bias tensor with size matching with inner dimension of b (after being transposed if transposed_b is non-zero).
bias - Variable in class org.tensorflow.op.nn.BiasAdd.Inputs: 1-D with size the last dimension of value.
bias(Float) - Static method in class org.tensorflow.op.nn.LocalResponseNormalization: Sets the bias option.
bias - Variable in class org.tensorflow.op.nn.LocalResponseNormalization.Inputs: An offset (usually positive to avoid dividing by 0).
bias(Float) - Method in class org.tensorflow.op.nn.LocalResponseNormalization.Options: Sets the bias option.
bias(Float) - Static method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad: Sets the bias option.
bias - Variable in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Inputs: An offset (usually > 0 to avoid dividing by 0).
bias(Float) - Method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Options: Sets the bias option.
bias - Variable in class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs: A 1D bias Tensor with size matching the last dimension of 'input'.
bias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The bias input
bias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The bias input
bias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The bias input
bias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The bias input
bias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The bias input
bias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The bias input
bias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The bias input
bias - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The original bias tensor.
bias - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The original bias tensor.
bias - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The original bias tensor.
bias - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The bias input
bias - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The bias input
BiasAdd<T extends TType> - Class in org.tensorflow.op.nn: Adds bias to value.
BiasAdd(Operation) - Constructor for class org.tensorflow.op.nn.BiasAdd
biasAdd(Operand<T>, Operand<T>, BiasAdd.Options...) - Method in class org.tensorflow.op.NnOps: Adds bias to value.
BiasAdd.Inputs<T extends TType> - Class in org.tensorflow.op.nn
BiasAdd.Options - Class in org.tensorflow.op.nn: Optional attributes for BiasAdd
BiasAddGrad<T extends TType> - Class in org.tensorflow.op.nn: The backward operation for "BiasAdd" on the "bias" tensor.
BiasAddGrad(Operation) - Constructor for class org.tensorflow.op.nn.BiasAddGrad
biasAddGrad(Operand<T>, BiasAddGrad.Options...) - Method in class org.tensorflow.op.NnOps: The backward operation for "BiasAdd" on the "bias" tensor.
BiasAddGrad.Inputs<T extends TType> - Class in org.tensorflow.op.nn
BiasAddGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for BiasAddGrad
biases - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The biases input
biases() - Method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Gets biases.
BIG_VALUE - Static variable in enum org.tensorflow.proto.util.BundleHeaderProto.Endianness: BIG = 1;
BIN_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.BinSummary
BIN_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.MemChunk
BIN_SUMMARY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.MemoryDump
binaryExamples() - Method in class org.tensorflow.op.io.DecodeJsonExample: Gets binaryExamples.
binaryOutput(Boolean) - Static method in class org.tensorflow.op.math.DenseBincount: Sets the binaryOutput option.
binaryOutput - Variable in class org.tensorflow.op.math.DenseBincount.Inputs: bool; Whether the kernel should count the appearance or number of occurrences.
binaryOutput(Boolean) - Method in class org.tensorflow.op.math.DenseBincount.Options: Sets the binaryOutput option.
binaryOutput(Boolean) - Static method in class org.tensorflow.op.ragged.RaggedBincount: Sets the binaryOutput option.
binaryOutput - Variable in class org.tensorflow.op.ragged.RaggedBincount.Inputs: bool; Whether the kernel should count the appearance or number of occurrences.
binaryOutput(Boolean) - Method in class org.tensorflow.op.ragged.RaggedBincount.Options: Sets the binaryOutput option.
binaryOutput - Variable in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Inputs: Whether to output the number of occurrences of each value or 1.
binaryOutput - Variable in class org.tensorflow.op.sparse.DenseCountSparseOutput.Inputs: Whether to output the number of occurrences of each value or 1.
binaryOutput(Boolean) - Static method in class org.tensorflow.op.sparse.SparseBincount: Sets the binaryOutput option.
binaryOutput - Variable in class org.tensorflow.op.sparse.SparseBincount.Inputs: bool; Whether the kernel should count the appearance or number of occurrences.
binaryOutput(Boolean) - Method in class org.tensorflow.op.sparse.SparseBincount.Options: Sets the binaryOutput option.
binaryOutput - Variable in class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs: Whether to output the number of occurrences of each value or 1.
Bincount<T extends TNumber> - Class in org.tensorflow.op.math: Counts the number of occurrences of each value in an integer array.
Bincount(Operation) - Constructor for class org.tensorflow.op.math.Bincount
bincount(Operand<TInt32>, Operand<TInt32>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Counts the number of occurrences of each value in an integer array.
Bincount.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
bIndices - Variable in class org.tensorflow.op.sparse.SparseAdd.Inputs: 2-D.
bIndices - Variable in class org.tensorflow.op.sparse.SparseAddGrad.Inputs: 2-D.
bIndices - Variable in class org.tensorflow.op.sparse.SparseSparseMaximum.Inputs: counterpart to a_indices for the other operand.
bIndices - Variable in class org.tensorflow.op.sparse.SparseSparseMinimum.Inputs: counterpart to a_indices for the other operand.
bins() - Method in class org.tensorflow.op.math.Bincount: Gets bins.
BinSummary - Class in org.tensorflow.proto.util: Protobuf type tensorflow.BinSummary
BinSummary.Builder - Class in org.tensorflow.proto.util: Protobuf type tensorflow.BinSummary
BinSummaryOrBuilder - Interface in org.tensorflow.proto.util
bIsSparse(Boolean) - Static method in class org.tensorflow.op.sparse.SparseMatMul: Sets the bIsSparse option.
bIsSparse - Variable in class org.tensorflow.op.sparse.SparseMatMul.Inputs: The bIsSparse attribute
bIsSparse(Boolean) - Method in class org.tensorflow.op.sparse.SparseMatMul.Options: Sets the bIsSparse option.
Bitcast - Class in org.tensorflow.op.core: Bitcasts a tensor from one type to another without copying data.
Bitcast(Operation) - Constructor for class org.tensorflow.op.core.Bitcast
bitcast(Operand<? extends TType>, Class) - Method in class org.tensorflow.op.Ops: Bitcasts a tensor from one type to another without copying data.
Bitcast.Inputs - Class in org.tensorflow.op.core
BITS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.PlatformInfo
bitwise - Variable in class org.tensorflow.op.Ops
BitwiseAnd<T extends TNumber> - Class in org.tensorflow.op.bitwise: Elementwise computes the bitwise AND of x and y.
BitwiseAnd(Operation) - Constructor for class org.tensorflow.op.bitwise.BitwiseAnd
bitwiseAnd(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.BitwiseOps: Elementwise computes the bitwise AND of x and y.
BitwiseAnd.Inputs<T extends TNumber> - Class in org.tensorflow.op.bitwise
BitwiseOps - Class in org.tensorflow.op: An API for building bitwise operations as Ops
BitwiseOr<T extends TNumber> - Class in org.tensorflow.op.bitwise: Elementwise computes the bitwise OR of x and y.
BitwiseOr(Operation) - Constructor for class org.tensorflow.op.bitwise.BitwiseOr
bitwiseOr(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.BitwiseOps: Elementwise computes the bitwise OR of x and y.
BitwiseOr.Inputs<T extends TNumber> - Class in org.tensorflow.op.bitwise
BitwiseXor<T extends TNumber> - Class in org.tensorflow.op.bitwise: Elementwise computes the bitwise XOR of x and y.
BitwiseXor(Operation) - Constructor for class org.tensorflow.op.bitwise.BitwiseXor
bitwiseXor(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.BitwiseOps: Elementwise computes the bitwise XOR of x and y.
BitwiseXor.Inputs<T extends TNumber> - Class in org.tensorflow.op.bitwise
blankIndex(Long) - Static method in class org.tensorflow.op.nn.CtcGreedyDecoder: Sets the blankIndex option.
blankIndex - Variable in class org.tensorflow.op.nn.CtcGreedyDecoder.Inputs: The blankIndex attribute
blankIndex(Long) - Method in class org.tensorflow.op.nn.CtcGreedyDecoder.Options: Sets the blankIndex option.
blockLength - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The blockLength input
blockLength - Variable in class org.tensorflow.op.data.InterleaveDataset.Inputs: The blockLength input
blockLength - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The blockLength input
blockLength - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: Number of elements at a time to produce from each interleaved invocation of a dataset returned by f.
BlockLSTM<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the LSTM cell forward propagation for all the time steps.
BlockLSTM(Operation) - Constructor for class org.tensorflow.op.nn.BlockLSTM
BlockLSTM.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
BlockLSTM.Options - Class in org.tensorflow.op.nn: Optional attributes for BlockLSTM
BlockLSTMGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the LSTM cell backward propagation for the entire time sequence.
BlockLSTMGrad(Operation) - Constructor for class org.tensorflow.op.nn.BlockLSTMGrad
BlockLSTMGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
blockShape - Variable in class org.tensorflow.op.core.BatchToSpaceNd.Inputs: 1-D with shape [M], all values must be >= 1.
blockShape - Variable in class org.tensorflow.op.core.SpaceToBatchNd.Inputs: 1-D with shape [M], all values must be >= 1.
blockSize - Variable in class org.tensorflow.op.core.BatchToSpace.Inputs: The blockSize attribute
blockSize - Variable in class org.tensorflow.op.nn.DepthToSpace.Inputs: The size of the spatial block, same as in Space2Depth.
blockSize - Variable in class org.tensorflow.op.nn.SpaceToBatch.Inputs: The blockSize attribute
blockSize - Variable in class org.tensorflow.op.nn.SpaceToDepth.Inputs: The size of the spatial block.
body_graph() - Method in class org.tensorflow.internal.c_api.TF_WhileParams
body_inputs() - Method in class org.tensorflow.internal.c_api.TF_WhileParams
body_outputs() - Method in class org.tensorflow.internal.c_api.TF_WhileParams
BOOL_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorProto
BOOL_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.StructuredValue
BooleanMask - Class in org.tensorflow.op.core
BooleanMask() - Constructor for class org.tensorflow.op.core.BooleanMask
booleanMask(Operand<T>, Operand<TBool>, BooleanMask.Options...) - Method in class org.tensorflow.op.Ops: Apply boolean mask to tensor.
BooleanMask.Options - Class in org.tensorflow.op.core: Optional attributes for BooleanMask
BooleanMaskUpdate - Class in org.tensorflow.op.core
BooleanMaskUpdate() - Constructor for class org.tensorflow.op.core.BooleanMaskUpdate
booleanMaskUpdate(Operand<T>, Operand<TBool>, Operand<T>, BooleanMaskUpdate.Options...) - Method in class org.tensorflow.op.Ops: Updates a tensor at the masked values, and returns the updated tensor.
BooleanMaskUpdate.Options - Class in org.tensorflow.op.core: Optional attributes for BooleanMaskUpdate
BoostedTreesAggregateStats - Class in org.tensorflow.op.estimator: Aggregates the summary of accumulated stats for the batch.
BoostedTreesAggregateStats(Operation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesAggregateStats
BoostedTreesAggregateStats.Inputs - Class in org.tensorflow.op.estimator
BoostedTreesBucketize - Class in org.tensorflow.op.estimator: Bucketize each feature based on bucket boundaries.
BoostedTreesBucketize(Operation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesBucketize
BoostedTreesBucketize.Inputs - Class in org.tensorflow.op.estimator
BoostedTreesCalculateBestFeatureSplit - Class in org.tensorflow.op.estimator: Calculates gains for each feature and returns the best possible split information for the feature.
BoostedTreesCalculateBestFeatureSplit(Operation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplit
BoostedTreesCalculateBestFeatureSplit.Inputs - Class in org.tensorflow.op.estimator
BoostedTreesCalculateBestFeatureSplit.Options - Class in org.tensorflow.op.estimator: Optional attributes for BoostedTreesCalculateBestFeatureSplit
BoostedTreesCalculateBestFeatureSplitV2 - Class in org.tensorflow.op.estimator: Calculates gains for each feature and returns the best possible split information for each node.
BoostedTreesCalculateBestFeatureSplitV2(Operation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplitV2
BoostedTreesCalculateBestFeatureSplitV2.Inputs - Class in org.tensorflow.op.estimator
BoostedTreesCalculateBestGainsPerFeature - Class in org.tensorflow.op.estimator: Calculates gains for each feature and returns the best possible split information for the feature.
BoostedTreesCalculateBestGainsPerFeature(Operation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesCalculateBestGainsPerFeature
BoostedTreesCalculateBestGainsPerFeature.Inputs - Class in org.tensorflow.op.estimator
BoostedTreesCenterBias - Class in org.tensorflow.op.estimator: Calculates the prior from the training data (the bias) and fills in the first node with the logits' prior.
BoostedTreesCenterBias(Operation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesCenterBias
BoostedTreesCenterBias.Inputs - Class in org.tensorflow.op.estimator
BoostedTreesCreateEnsemble - Class in org.tensorflow.op.estimator: Creates a tree ensemble model and returns a handle to it.
BoostedTreesCreateEnsemble(Operation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesCreateEnsemble
BoostedTreesCreateEnsemble.Inputs - Class in org.tensorflow.op.estimator
BoostedTreesCreateQuantileStreamResource - Class in org.tensorflow.op.estimator: Create the Resource for Quantile Streams.
BoostedTreesCreateQuantileStreamResource(Operation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesCreateQuantileStreamResource
BoostedTreesCreateQuantileStreamResource.Inputs - Class in org.tensorflow.op.estimator
BoostedTreesCreateQuantileStreamResource.Options - Class in org.tensorflow.op.estimator: Optional attributes for BoostedTreesCreateQuantileStreamResource
BoostedTreesDeserializeEnsemble - Class in org.tensorflow.op.estimator: Deserializes a serialized tree ensemble config and replaces current tree ensemble.
BoostedTreesDeserializeEnsemble(Operation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesDeserializeEnsemble
BoostedTreesDeserializeEnsemble.Inputs - Class in org.tensorflow.op.estimator
BoostedTreesEnsembleResourceHandleOp - Class in org.tensorflow.op.estimator: Creates a handle to a BoostedTreesEnsembleResource
BoostedTreesEnsembleResourceHandleOp(Operation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesEnsembleResourceHandleOp
BoostedTreesEnsembleResourceHandleOp.Inputs - Class in org.tensorflow.op.estimator
BoostedTreesEnsembleResourceHandleOp.Options - Class in org.tensorflow.op.estimator: Optional attributes for BoostedTreesEnsembleResourceHandleOp
BoostedTreesExampleDebugOutputs - Class in org.tensorflow.op.estimator: Debugging/model interpretability outputs for each example.
BoostedTreesExampleDebugOutputs(Operation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesExampleDebugOutputs
BoostedTreesExampleDebugOutputs.Inputs - Class in org.tensorflow.op.estimator
BoostedTreesFlushQuantileSummaries - Class in org.tensorflow.op.estimator: Flush the quantile summaries from each quantile stream resource.
BoostedTreesFlushQuantileSummaries(Operation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesFlushQuantileSummaries
BoostedTreesFlushQuantileSummaries.Inputs - Class in org.tensorflow.op.estimator
BoostedTreesGetEnsembleStates - Class in org.tensorflow.op.estimator: Retrieves the tree ensemble resource stamp token, number of trees and growing statistics.
BoostedTreesGetEnsembleStates(Operation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesGetEnsembleStates
BoostedTreesGetEnsembleStates.Inputs - Class in org.tensorflow.op.estimator
BoostedTreesMakeQuantileSummaries - Class in org.tensorflow.op.estimator: Makes the summary of quantiles for the batch.
BoostedTreesMakeQuantileSummaries(Operation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesMakeQuantileSummaries
BoostedTreesMakeQuantileSummaries.Inputs - Class in org.tensorflow.op.estimator
BoostedTreesMakeStatsSummary - Class in org.tensorflow.op.estimator: Makes the summary of accumulated stats for the batch.
BoostedTreesMakeStatsSummary(Operation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesMakeStatsSummary
BoostedTreesMakeStatsSummary.Inputs - Class in org.tensorflow.op.estimator
BoostedTreesPredict - Class in org.tensorflow.op.estimator: Runs multiple additive regression ensemble predictors on input instances and computes the logits.
BoostedTreesPredict(Operation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesPredict
BoostedTreesPredict.Inputs - Class in org.tensorflow.op.estimator
BoostedTreesQuantileStreamResourceAddSummaries - Class in org.tensorflow.op.estimator: Add the quantile summaries to each quantile stream resource.
BoostedTreesQuantileStreamResourceAddSummaries(Operation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceAddSummaries
BoostedTreesQuantileStreamResourceAddSummaries.Inputs - Class in org.tensorflow.op.estimator
BoostedTreesQuantileStreamResourceDeserialize - Class in org.tensorflow.op.estimator: Deserialize bucket boundaries and ready flag into current QuantileAccumulator.
BoostedTreesQuantileStreamResourceDeserialize(Operation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceDeserialize
BoostedTreesQuantileStreamResourceDeserialize.Inputs - Class in org.tensorflow.op.estimator
BoostedTreesQuantileStreamResourceFlush - Class in org.tensorflow.op.estimator: Flush the summaries for a quantile stream resource.
BoostedTreesQuantileStreamResourceFlush(Operation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceFlush
BoostedTreesQuantileStreamResourceFlush.Inputs - Class in org.tensorflow.op.estimator
BoostedTreesQuantileStreamResourceFlush.Options - Class in org.tensorflow.op.estimator: Optional attributes for BoostedTreesQuantileStreamResourceFlush
BoostedTreesQuantileStreamResourceGetBucketBoundaries - Class in org.tensorflow.op.estimator: Generate the bucket boundaries for each feature based on accumulated summaries.
BoostedTreesQuantileStreamResourceGetBucketBoundaries(Operation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceGetBucketBoundaries
BoostedTreesQuantileStreamResourceGetBucketBoundaries.Inputs - Class in org.tensorflow.op.estimator
BoostedTreesQuantileStreamResourceHandleOp - Class in org.tensorflow.op.estimator: Creates a handle to a BoostedTreesQuantileStreamResource.
BoostedTreesQuantileStreamResourceHandleOp(Operation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceHandleOp
BoostedTreesQuantileStreamResourceHandleOp.Inputs - Class in org.tensorflow.op.estimator
BoostedTreesQuantileStreamResourceHandleOp.Options - Class in org.tensorflow.op.estimator: Optional attributes for BoostedTreesQuantileStreamResourceHandleOp
BoostedTreesSerializeEnsemble - Class in org.tensorflow.op.estimator: Serializes the tree ensemble to a proto.
BoostedTreesSerializeEnsemble(Operation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesSerializeEnsemble
BoostedTreesSerializeEnsemble.Inputs - Class in org.tensorflow.op.estimator
BoostedTreesSparseAggregateStats - Class in org.tensorflow.op.estimator: Aggregates the summary of accumulated stats for the batch.
BoostedTreesSparseAggregateStats(Operation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesSparseAggregateStats
BoostedTreesSparseAggregateStats.Inputs - Class in org.tensorflow.op.estimator
BoostedTreesSparseCalculateBestFeatureSplit - Class in org.tensorflow.op.estimator: Calculates gains for each feature and returns the best possible split information for the feature.
BoostedTreesSparseCalculateBestFeatureSplit(Operation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesSparseCalculateBestFeatureSplit
BoostedTreesSparseCalculateBestFeatureSplit.Inputs - Class in org.tensorflow.op.estimator
BoostedTreesSparseCalculateBestFeatureSplit.Options - Class in org.tensorflow.op.estimator: Optional attributes for BoostedTreesSparseCalculateBestFeatureSplit
BoostedTreesTrainingPredict - Class in org.tensorflow.op.estimator: Runs multiple additive regression ensemble predictors on input instances and computes the update to cached logits.
BoostedTreesTrainingPredict(Operation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesTrainingPredict
BoostedTreesTrainingPredict.Inputs - Class in org.tensorflow.op.estimator
BoostedTreesUpdateEnsemble - Class in org.tensorflow.op.estimator: Updates the tree ensemble by either adding a layer to the last tree being grown or by starting a new tree.
BoostedTreesUpdateEnsemble(Operation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesUpdateEnsemble
BoostedTreesUpdateEnsemble.Inputs - Class in org.tensorflow.op.estimator
BoostedTreesUpdateEnsembleV2 - Class in org.tensorflow.op.estimator: Updates the tree ensemble by adding a layer to the last tree being grown or by starting a new tree.
BoostedTreesUpdateEnsembleV2(Operation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesUpdateEnsembleV2
BoostedTreesUpdateEnsembleV2.Inputs - Class in org.tensorflow.op.estimator
BoostedTreesUpdateEnsembleV2.Options - Class in org.tensorflow.op.estimator: Optional attributes for BoostedTreesUpdateEnsembleV2
bound - Variable in class org.tensorflow.op.xla.XlaSetBound.Inputs: The bound input
BOUND_INPUTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedConcreteFunction
boundaries - Variable in class org.tensorflow.op.core.Bucketize.Inputs: A sorted list of floats gives the boundary of the buckets.
BOUNDED_TENSOR_SPEC_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.StructuredValue
BoundedTensorSpecProto - Class in org.tensorflow.proto.framework: A protobuf to represent tf.BoundedTensorSpec.
BoundedTensorSpecProto.Builder - Class in org.tensorflow.proto.framework: A protobuf to represent tf.BoundedTensorSpec.
BoundedTensorSpecProtoOrBuilder - Interface in org.tensorflow.proto.framework
boundingBoxes - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: 3-D with shape [batch, N, 4] describing the N bounding boxes associated with the image.
boundingBoxes - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: 3-D with shape [batch, N, 4] describing the N bounding boxes associated with the image.
boxes - Variable in class org.tensorflow.op.image.CombinedNonMaxSuppression.Inputs: A 4-D float tensor of shape [batch_size, num_boxes, q, 4].
boxes - Variable in class org.tensorflow.op.image.CropAndResize.Inputs: A 2-D tensor of shape [num_boxes, 4].
boxes - Variable in class org.tensorflow.op.image.CropAndResizeGradBoxes.Inputs: A 2-D tensor of shape [num_boxes, 4].
boxes - Variable in class org.tensorflow.op.image.CropAndResizeGradImage.Inputs: A 2-D tensor of shape [num_boxes, 4].
boxes - Variable in class org.tensorflow.op.image.DrawBoundingBoxes.Inputs: 3-D with shape [batch, num_bounding_boxes, 4] containing bounding boxes.
boxes - Variable in class org.tensorflow.op.image.NonMaxSuppression.Inputs: A 2-D float tensor of shape [num_boxes, 4].
boxInd - Variable in class org.tensorflow.op.image.CropAndResize.Inputs: A 1-D tensor of shape [num_boxes] with int32 values in [0, batch).
boxInd - Variable in class org.tensorflow.op.image.CropAndResizeGradBoxes.Inputs: A 1-D tensor of shape [num_boxes] with int32 values in [0, batch).
boxInd - Variable in class org.tensorflow.op.image.CropAndResizeGradImage.Inputs: A 1-D tensor of shape [num_boxes] with int32 values in [0, batch).
BRANCH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CondContextDef
branchIndex - Variable in class org.tensorflow.op.core.StatefulCase.Inputs: The branch selector, an int32 Tensor.
branchIndex - Variable in class org.tensorflow.op.core.StatelessCase.Inputs: The branch selector, an int32 Tensor.
broadcast(Boolean) - Static method in class org.tensorflow.op.core.BooleanMaskUpdate: Whether to try broadcasting update.
broadcast(Boolean) - Method in class org.tensorflow.op.core.BooleanMaskUpdate.Options
broadcastDims - Variable in class org.tensorflow.op.xla.BroadcastHelper.Inputs: an XLA-style broadcast dimension specification
BroadcastDynamicShape<T extends TNumber> - Class in org.tensorflow.op.core: Return the shape of s0 op s1 with broadcast.
BroadcastDynamicShape(Operation) - Constructor for class org.tensorflow.op.core.BroadcastDynamicShape
broadcastDynamicShape(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops: Return the shape of s0 op s1 with broadcast.
BroadcastDynamicShape.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
BroadcastGradientArgs<T extends TNumber> - Class in org.tensorflow.op.core: Return the reduction indices for computing gradients of s0 op s1 with broadcast.
BroadcastGradientArgs(Operation) - Constructor for class org.tensorflow.op.core.BroadcastGradientArgs
BroadcastGradientArgs.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
BroadcastHelper<T extends TType> - Class in org.tensorflow.op.xla: Helper operator for performing XLA-style broadcasts Broadcasts lhs and rhs to the same rank, by adding size 1 dimensions to whichever of lhs and rhs has the lower rank, using XLA's broadcasting rules for binary operators.
BroadcastHelper(Operation) - Constructor for class org.tensorflow.op.xla.BroadcastHelper
broadcastHelper(Operand<T>, Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.XlaOps: Helper operator for performing XLA-style broadcasts Broadcasts lhs and rhs to the same rank, by adding size 1 dimensions to whichever of lhs and rhs has the lower rank, using XLA's broadcasting rules for binary operators.
BroadcastHelper.Inputs<T extends TType> - Class in org.tensorflow.op.xla
BroadcastTo<T extends TType> - Class in org.tensorflow.op.core: Broadcast an array for a compatible shape.
BroadcastTo(Operation) - Constructor for class org.tensorflow.op.core.BroadcastTo
broadcastTo(Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.Ops: Broadcast an array for a compatible shape.
BroadcastTo.Inputs<T extends TType> - Class in org.tensorflow.op.core
bRu - Variable in class org.tensorflow.op.nn.GRUBlockCell.Inputs: The bRu input
bRu - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The bRu input
bShape - Variable in class org.tensorflow.op.sparse.SparseAdd.Inputs: 1-D.
bShape - Variable in class org.tensorflow.op.sparse.SparseSparseMaximum.Inputs: counterpart to a_shape for the other operand; the two shapes must be equal.
bShape - Variable in class org.tensorflow.op.sparse.SparseSparseMinimum.Inputs: counterpart to a_shape for the other operand; the two shapes must be equal.
BUCKET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.HistogramProto
BUCKET_LIMIT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.HistogramProto
bucketBoundaries - Variable in class org.tensorflow.op.estimator.BoostedTreesBucketize.Inputs: float; List of Rank 1 Tensors each containing the bucket boundaries for a single feature.
bucketBoundaries - Variable in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceDeserialize.Inputs: float; List of Rank 1 Tensors each containing the bucket boundaries for a feature.
bucketBoundaries() - Method in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceGetBucketBoundaries: Gets bucketBoundaries.
Bucketize - Class in org.tensorflow.op.core: Bucketizes 'input' based on 'boundaries'.
Bucketize(Operation) - Constructor for class org.tensorflow.op.core.Bucketize
bucketize(Operand<? extends TNumber>, List<Float>) - Method in class org.tensorflow.op.Ops: Bucketizes 'input' based on 'boundaries'.
Bucketize.Inputs - Class in org.tensorflow.op.core
bucketizedFeatures - Variable in class org.tensorflow.op.estimator.BoostedTreesExampleDebugOutputs.Inputs: A list of rank 1 Tensors containing bucket id for each feature.
bucketizedFeatures - Variable in class org.tensorflow.op.estimator.BoostedTreesPredict.Inputs: A list of rank 1 Tensors containing bucket id for each feature.
bucketizedFeatures - Variable in class org.tensorflow.op.estimator.BoostedTreesTrainingPredict.Inputs: A list of rank 1 Tensors containing bucket id for each feature.
bucketizedFeaturesList - Variable in class org.tensorflow.op.estimator.BoostedTreesMakeStatsSummary.Inputs: int32 list of Rank 1 Tensors, each containing the bucketized feature (for each feature column).
buckets() - Method in class org.tensorflow.op.estimator.BoostedTreesBucketize: Gets buckets.
BUFFERED_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto.Node
BUFFERED_ELEMENTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto.Node
bufferOutputElements - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The bufferOutputElements input
bufferOutputElements - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The bufferOutputElements input
bufferOutputElements - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: The number of elements each iterator being interleaved should buffer (similar to the .prefetch() transformation for each interleaved iterator).
bufferSize - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The bufferSize input
bufferSize - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The bufferSize input
bufferSize - Variable in class org.tensorflow.op.data.FixedLengthRecordDataset.Inputs: The bufferSize input
bufferSize - Variable in class org.tensorflow.op.data.PrefetchDataset.Inputs: The maximum number of elements to buffer in an iterator over this dataset.
bufferSize - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The bufferSize input
bufferSize - Variable in class org.tensorflow.op.data.ShuffleDataset.Inputs: The bufferSize input
bufferSize - Variable in class org.tensorflow.op.data.TextLineDataset.Inputs: A scalar containing the number of bytes to buffer.
bufferSize - Variable in class org.tensorflow.op.data.TfRecordDataset.Inputs: A scalar representing the number of bytes to buffer.
bufferSizeMin(Long) - Static method in class org.tensorflow.op.data.PrefetchDataset: Sets the bufferSizeMin option.
bufferSizeMin - Variable in class org.tensorflow.op.data.PrefetchDataset.Inputs: The bufferSizeMin attribute
bufferSizeMin(Long) - Method in class org.tensorflow.op.data.PrefetchDataset.Options: Sets the bufferSizeMin option.
build() - Method in class org.tensorflow.DeviceSpec.Builder
build() - Method in class org.tensorflow.EagerSession.Options: Builds an eager session with the selected options.
build() - Method in class org.tensorflow.GraphOperationBuilder: Add the GraphOperation being built to the Graph.
build() - Method in interface org.tensorflow.OperationBuilder: Build the Operation.
build() - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder
build() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
build() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
build() - Method in class org.tensorflow.proto.data.DistributeOptions.Builder
build() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
build() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
build() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder
build() - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder
build() - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder
build() - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder
build() - Method in class org.tensorflow.proto.data.model.ModelProto.Builder
build() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder
build() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder
build() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder
build() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
build() - Method in class org.tensorflow.proto.data.Options.Builder
build() - Method in class org.tensorflow.proto.data.ThreadingOptions.Builder
build() - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder
build() - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder
build() - Method in class org.tensorflow.proto.distruntime.JobDef.Builder
build() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder
build() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder
build() - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters.Builder
build() - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra.Builder
build() - Method in class org.tensorflow.proto.example.BytesList.Builder
build() - Method in class org.tensorflow.proto.example.Example.Builder
build() - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder
build() - Method in class org.tensorflow.proto.example.Feature.Builder
build() - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder
build() - Method in class org.tensorflow.proto.example.FeatureList.Builder
build() - Method in class org.tensorflow.proto.example.FeatureLists.Builder
build() - Method in class org.tensorflow.proto.example.Features.Builder
build() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder
build() - Method in class org.tensorflow.proto.example.FloatList.Builder
build() - Method in class org.tensorflow.proto.example.Int64List.Builder
build() - Method in class org.tensorflow.proto.example.SequenceExample.Builder
build() - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder
build() - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder
build() - Method in class org.tensorflow.proto.framework.AllocationRecord.Builder
build() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder
build() - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder
build() - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder
build() - Method in class org.tensorflow.proto.framework.ApiDef.Builder
build() - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder
build() - Method in class org.tensorflow.proto.framework.ApiDefs.Builder
build() - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder
build() - Method in class org.tensorflow.proto.framework.AttrValue.Builder
build() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder
build() - Method in class org.tensorflow.proto.framework.AutoParallelOptions.Builder
build() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder
build() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder
build() - Method in class org.tensorflow.proto.framework.CapturedTensor.Builder
build() - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder
build() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder
build() - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList.Builder
build() - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList.Builder
build() - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List.Builder
build() - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList.Builder
build() - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
build() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder
build() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder
build() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder
build() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder
build() - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost.Builder
build() - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder
build() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder
build() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo.Builder
build() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder
build() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder
build() - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder
build() - Method in class org.tensorflow.proto.framework.DebugOptions.Builder
build() - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder
build() - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder
build() - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder
build() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder
build() - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder
build() - Method in class org.tensorflow.proto.framework.DictValue.Builder
build() - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder
build() - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder
build() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
build() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder
build() - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder
build() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder
build() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder
build() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder
build() - Method in class org.tensorflow.proto.framework.GradientDef.Builder
build() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder
build() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder
build() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder
build() - Method in class org.tensorflow.proto.framework.GraphDef.Builder
build() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder
build() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder
build() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder
build() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder
build() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder
build() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder
build() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput.Builder
build() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder
build() - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder
build() - Method in class org.tensorflow.proto.framework.HistogramProto.Builder
build() - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder
build() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder
build() - Method in class org.tensorflow.proto.framework.KernelDef.Builder
build() - Method in class org.tensorflow.proto.framework.KernelList.Builder
build() - Method in class org.tensorflow.proto.framework.ListValue.Builder
build() - Method in class org.tensorflow.proto.framework.LocalLinks.Builder
build() - Method in class org.tensorflow.proto.framework.LogNormalDistribution.Builder
build() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder
build() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder
build() - Method in class org.tensorflow.proto.framework.MemoryLogStep.Builder
build() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder
build() - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation.Builder
build() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder
build() - Method in class org.tensorflow.proto.framework.MemoryStats.Builder
build() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder
build() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder
build() - Method in class org.tensorflow.proto.framework.NameAttrList.Builder
build() - Method in class org.tensorflow.proto.framework.NamedDevice.Builder
build() - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder
build() - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder
build() - Method in class org.tensorflow.proto.framework.NodeDef.Builder
build() - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder
build() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder
build() - Method in class org.tensorflow.proto.framework.NodeOutput.Builder
build() - Method in class org.tensorflow.proto.framework.NoneValue.Builder
build() - Method in class org.tensorflow.proto.framework.NormalDistribution.Builder
build() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder
build() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder
build() - Method in class org.tensorflow.proto.framework.OpDef.Builder
build() - Method in class org.tensorflow.proto.framework.OpDeprecation.Builder
build() - Method in class org.tensorflow.proto.framework.OpInfo.Builder
build() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder
build() - Method in class org.tensorflow.proto.framework.OpList.Builder
build() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder
build() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder
build() - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder
build() - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder
build() - Method in class org.tensorflow.proto.framework.PairValue.Builder
build() - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder
build() - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder
build() - Method in class org.tensorflow.proto.framework.RegisteredGradient.Builder
build() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder
build() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder
build() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder
build() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder
build() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder
build() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder
build() - Method in class org.tensorflow.proto.framework.RPCOptions.Builder
build() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder
build() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder
build() - Method in class org.tensorflow.proto.framework.RunOptions.Builder
build() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder
build() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions.Builder
build() - Method in class org.tensorflow.proto.framework.SaveableObject.Builder
build() - Method in class org.tensorflow.proto.framework.SavedAsset.Builder
build() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder
build() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder
build() - Method in class org.tensorflow.proto.framework.SavedConstant.Builder
build() - Method in class org.tensorflow.proto.framework.SavedFunction.Builder
build() - Method in class org.tensorflow.proto.framework.SavedModel.Builder
build() - Method in class org.tensorflow.proto.framework.SavedObject.Builder
build() - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder
build() - Method in class org.tensorflow.proto.framework.SavedResource.Builder
build() - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder
build() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder
build() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder
build() - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions.Builder
build() - Method in class org.tensorflow.proto.framework.SessionInfo.Builder
build() - Method in class org.tensorflow.proto.framework.SessionMetadata.Builder
build() - Method in class org.tensorflow.proto.framework.SignatureDef.Builder
build() - Method in class org.tensorflow.proto.framework.Status.DerivedStatus.Builder
build() - Method in class org.tensorflow.proto.framework.StepStats.Builder
build() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder
build() - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder
build() - Method in class org.tensorflow.proto.framework.Summary.Builder
build() - Method in class org.tensorflow.proto.framework.Summary.Image.Builder
build() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder
build() - Method in class org.tensorflow.proto.framework.SummaryDescription.Builder
build() - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder
build() - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData.Builder
build() - Method in class org.tensorflow.proto.framework.TensorConnection.Builder
build() - Method in class org.tensorflow.proto.framework.TensorDescription.Builder
build() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder
build() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder
build() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder
build() - Method in class org.tensorflow.proto.framework.TensorProto.Builder
build() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder
build() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim.Builder
build() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder
build() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent.Builder
build() - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder
build() - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto.Builder
build() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder
build() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder
build() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
build() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
build() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
build() - Method in class org.tensorflow.proto.framework.TupleValue.Builder
build() - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder
build() - Method in class org.tensorflow.proto.framework.ValuesDef.Builder
build() - Method in class org.tensorflow.proto.framework.VariableDef.Builder
build() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder
build() - Method in class org.tensorflow.proto.framework.VerifierConfig.Builder
build() - Method in class org.tensorflow.proto.framework.VersionDef.Builder
build() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder
build() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder
build() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder
build() - Method in class org.tensorflow.proto.profiler.XEvent.Builder
build() - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder
build() - Method in class org.tensorflow.proto.profiler.XLine.Builder
build() - Method in class org.tensorflow.proto.profiler.XPlane.Builder
build() - Method in class org.tensorflow.proto.profiler.XSpace.Builder
build() - Method in class org.tensorflow.proto.profiler.XStat.Builder
build() - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder
build() - Method in class org.tensorflow.proto.util.BinSummary.Builder
build() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder
build() - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder
build() - Method in class org.tensorflow.proto.util.CodeLocation.Builder
build() - Method in class org.tensorflow.proto.util.DebugEvent.Builder
build() - Method in class org.tensorflow.proto.util.DebuggedDevice.Builder
build() - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder
build() - Method in class org.tensorflow.proto.util.DebugMetadata.Builder
build() - Method in class org.tensorflow.proto.util.Event.Builder
build() - Method in class org.tensorflow.proto.util.Execution.Builder
build() - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder
build() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder
build() - Method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.
build() - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder
build() - Method in class org.tensorflow.proto.util.MemChunk.Builder
build() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder
build() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder
build() - Method in class org.tensorflow.proto.util.MemoryDump.Builder
build() - Method in class org.tensorflow.proto.util.RequestedExitCode.Builder
build() - Method in class org.tensorflow.proto.util.SavedSlice.Builder
build() - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder
build() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder
build() - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder
build() - Method in class org.tensorflow.proto.util.SaverDef.Builder
build() - Method in class org.tensorflow.proto.util.SessionLog.Builder
build() - Method in class org.tensorflow.proto.util.SnapShot.Builder
build() - Method in class org.tensorflow.proto.util.SourceFile.Builder
build() - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder
build() - Method in class org.tensorflow.proto.util.TaggedRunMetadata.Builder
build() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder
build() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder
build() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder
build() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder
build() - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder
build() - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder
build() - Method in class org.tensorflow.proto.util.testlog.EntryValue.Builder
build() - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder
build() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder
build() - Method in class org.tensorflow.proto.util.testlog.MemoryInfo.Builder
build() - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder
build() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder
build() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder
build() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder
build() - Method in class org.tensorflow.proto.util.WatchdogConfig.Builder
build() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder
build() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder
build() - Method in class org.tensorflow.Signature.Builder: Returns a signature from the provided data.
BUILD_CONFIGURATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.TestResults
BUILD_COST_MODEL_AFTER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphOptions
BUILD_COST_MODEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphOptions
BuildConfiguration - Class in org.tensorflow.proto.util.testlog: Protobuf type tensorflow.BuildConfiguration
BuildConfiguration.Builder - Class in org.tensorflow.proto.util.testlog: Protobuf type tensorflow.BuildConfiguration
BuildConfigurationOrBuilder - Interface in org.tensorflow.proto.util.testlog
builder() - Static method in class org.tensorflow.Signature: Returns a new builder for creating a signature
builder(String) - Static method in class org.tensorflow.Signature: Returns a new builder for creating a signature, with the methodName and key set to name
Builder() - Constructor for class org.tensorflow.Signature.Builder
buildPartial() - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
buildPartial() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
buildPartial() - Method in class org.tensorflow.proto.data.DistributeOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
buildPartial() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
buildPartial() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder
buildPartial() - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder
buildPartial() - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder
buildPartial() - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder
buildPartial() - Method in class org.tensorflow.proto.data.model.ModelProto.Builder
buildPartial() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder
buildPartial() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder
buildPartial() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder
buildPartial() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.data.Options.Builder
buildPartial() - Method in class org.tensorflow.proto.data.ThreadingOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder
buildPartial() - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder
buildPartial() - Method in class org.tensorflow.proto.distruntime.JobDef.Builder
buildPartial() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder
buildPartial() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder
buildPartial() - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters.Builder
buildPartial() - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra.Builder
buildPartial() - Method in class org.tensorflow.proto.example.BytesList.Builder
buildPartial() - Method in class org.tensorflow.proto.example.Example.Builder
buildPartial() - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder
buildPartial() - Method in class org.tensorflow.proto.example.Feature.Builder
buildPartial() - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder
buildPartial() - Method in class org.tensorflow.proto.example.FeatureList.Builder
buildPartial() - Method in class org.tensorflow.proto.example.FeatureLists.Builder
buildPartial() - Method in class org.tensorflow.proto.example.Features.Builder
buildPartial() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder
buildPartial() - Method in class org.tensorflow.proto.example.FloatList.Builder
buildPartial() - Method in class org.tensorflow.proto.example.Int64List.Builder
buildPartial() - Method in class org.tensorflow.proto.example.SequenceExample.Builder
buildPartial() - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.AllocationRecord.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.ApiDef.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.ApiDefs.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.AttrValue.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.AutoParallelOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.CapturedTensor.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.DebugOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.DictValue.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.GradientDef.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.GraphDef.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.HistogramProto.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.KernelDef.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.KernelList.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.ListValue.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.LocalLinks.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.LogNormalDistribution.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.MemoryLogStep.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.MemoryStats.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.NameAttrList.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.NamedDevice.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.NodeDef.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.NodeOutput.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.NoneValue.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.NormalDistribution.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.OpDef.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.OpDeprecation.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.OpInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.OpList.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.PairValue.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.RegisteredGradient.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.RPCOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.RunOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.SaveableObject.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.SavedAsset.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.SavedConstant.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.SavedFunction.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.SavedModel.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.SavedObject.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.SavedResource.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.SessionInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.SessionMetadata.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.SignatureDef.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.Status.DerivedStatus.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.StepStats.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.Summary.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.Summary.Image.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.SummaryDescription.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.TensorConnection.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.TensorDescription.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.TensorProto.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.TupleValue.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.ValuesDef.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.VariableDef.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.VerifierConfig.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.VersionDef.Builder
buildPartial() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder
buildPartial() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.profiler.XEvent.Builder
buildPartial() - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder
buildPartial() - Method in class org.tensorflow.proto.profiler.XLine.Builder
buildPartial() - Method in class org.tensorflow.proto.profiler.XPlane.Builder
buildPartial() - Method in class org.tensorflow.proto.profiler.XSpace.Builder
buildPartial() - Method in class org.tensorflow.proto.profiler.XStat.Builder
buildPartial() - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder
buildPartial() - Method in class org.tensorflow.proto.util.BinSummary.Builder
buildPartial() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder
buildPartial() - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder
buildPartial() - Method in class org.tensorflow.proto.util.CodeLocation.Builder
buildPartial() - Method in class org.tensorflow.proto.util.DebugEvent.Builder
buildPartial() - Method in class org.tensorflow.proto.util.DebuggedDevice.Builder
buildPartial() - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder
buildPartial() - Method in class org.tensorflow.proto.util.DebugMetadata.Builder
buildPartial() - Method in class org.tensorflow.proto.util.Event.Builder
buildPartial() - Method in class org.tensorflow.proto.util.Execution.Builder
buildPartial() - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder
buildPartial() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder
buildPartial() - Method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.
buildPartial() - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder
buildPartial() - Method in class org.tensorflow.proto.util.MemChunk.Builder
buildPartial() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder
buildPartial() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder
buildPartial() - Method in class org.tensorflow.proto.util.MemoryDump.Builder
buildPartial() - Method in class org.tensorflow.proto.util.RequestedExitCode.Builder
buildPartial() - Method in class org.tensorflow.proto.util.SavedSlice.Builder
buildPartial() - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder
buildPartial() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder
buildPartial() - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder
buildPartial() - Method in class org.tensorflow.proto.util.SaverDef.Builder
buildPartial() - Method in class org.tensorflow.proto.util.SessionLog.Builder
buildPartial() - Method in class org.tensorflow.proto.util.SnapShot.Builder
buildPartial() - Method in class org.tensorflow.proto.util.SourceFile.Builder
buildPartial() - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder
buildPartial() - Method in class org.tensorflow.proto.util.TaggedRunMetadata.Builder
buildPartial() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder
buildPartial() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder
buildPartial() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder
buildPartial() - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder
buildPartial() - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.util.testlog.EntryValue.Builder
buildPartial() - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder
buildPartial() - Method in class org.tensorflow.proto.util.testlog.MemoryInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder
buildPartial() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder
buildPartial() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder
buildPartial() - Method in class org.tensorflow.proto.util.WatchdogConfig.Builder
buildPartial() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder
buildPartial() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder
buildSubgraph(Graph, Output<?>[], Output<?>[]) - Method in interface org.tensorflow.Graph.WhileSubgraphBuilder: To be overridden by user with code to build conditional or body subgraph for a while loop
BundleEntryProto - Class in org.tensorflow.proto.util: Describes the metadata related to a checkpointed tensor.
BundleEntryProto.Builder - Class in org.tensorflow.proto.util: Describes the metadata related to a checkpointed tensor.
BundleEntryProtoOrBuilder - Interface in org.tensorflow.proto.util
BundleHeaderProto - Class in org.tensorflow.proto.util: Special header that is associated with a bundle.
BundleHeaderProto.Builder - Class in org.tensorflow.proto.util: Special header that is associated with a bundle.
BundleHeaderProto.Endianness - Enum in org.tensorflow.proto.util: An enum indicating the endianness of the platform that produced this bundle.
BundleHeaderProtoOrBuilder - Interface in org.tensorflow.proto.util
BUS_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DeviceLocality
BUS_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.GPUInfo
bValGrad() - Method in class org.tensorflow.op.sparse.SparseAddGrad: Gets bValGrad.
bValues - Variable in class org.tensorflow.op.sparse.SparseAdd.Inputs: 1-D.
bValues - Variable in class org.tensorflow.op.sparse.SparseSparseMaximum.Inputs: counterpart to a_values for the other operand; must be of the same dtype.
bValues - Variable in class org.tensorflow.op.sparse.SparseSparseMinimum.Inputs: counterpart to a_values for the other operand; must be of the same dtype.
bytes - Variable in class org.tensorflow.op.core.DecodeProto.Inputs: Tensor of serialized protos with shape batch_shape.
bytes() - Method in class org.tensorflow.op.core.EncodeProto: Gets bytes.
bytes - Variable in class org.tensorflow.op.io.DecodeCompressed.Inputs: A Tensor of string which is compressed.
bytes - Variable in class org.tensorflow.op.io.DecodeRaw.Inputs: All the elements must have the same length.
BYTES_CONSUMED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto.Node
BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DebuggedSourceFile
BYTES_IN_USE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.MemAllocatorStats
BYTES_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.example.Feature
BYTES_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CollectionDef
BYTES_PRODUCED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto.Node
BYTES_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XStat
ByteSequenceProvider<T> - Class in org.tensorflow.internal.buffer: Produces sequence of bytes to be stored in a ByteSequenceTensorBuffer.
ByteSequenceProvider(NdArray<T>, Function<T, byte[]>) - Constructor for class org.tensorflow.internal.buffer.ByteSequenceProvider: Constructor
ByteSequenceTensorBuffer - Class in org.tensorflow.internal.buffer: Buffer for storing string tensor data.
byteSize() - Method in class org.tensorflow.internal.types.registry.TensorTypeInfo: Returns the number of bytes required to store one element of the corresponding data type, -1 if variable.
BytesList - Class in org.tensorflow.proto.example: LINT.IfChange Containers to hold repeated fundamental values.
BytesList.Builder - Class in org.tensorflow.proto.example: LINT.IfChange Containers to hold repeated fundamental values.
BytesListOrBuilder - Interface in org.tensorflow.proto.example
BytesProducedStatsDataset - Class in org.tensorflow.op.data: Records the bytes size of each element of input_dataset in a StatsAggregator.
BytesProducedStatsDataset(Operation) - Constructor for class org.tensorflow.op.data.BytesProducedStatsDataset
BytesProducedStatsDataset - Class in org.tensorflow.op.data.experimental: Records the bytes size of each element of input_dataset in a StatsAggregator.
BytesProducedStatsDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.BytesProducedStatsDataset
bytesProducedStatsDataset(Operand<? extends TType>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Records the bytes size of each element of input_dataset in a StatsAggregator.
BytesProducedStatsDataset.Inputs - Class in org.tensorflow.op.data
BytesProducedStatsDataset.Inputs - Class in org.tensorflow.op.data.experimental

C

c() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixAdd: Gets c.
c() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul: Gets c.
c() - Method in class org.tensorflow.op.nn.GRUBlockCell: Gets c.
c - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The c input
cache - Variable in class org.tensorflow.op.data.CacheDataset.Inputs: The cache input
CACHE_RPC_RESPONSE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RPCOptions
CACHE_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.CPUInfo
CacheDataset - Class in org.tensorflow.op.data: The CacheDatasetV2 operation
CacheDataset(Operation) - Constructor for class org.tensorflow.op.data.CacheDataset
cacheDataset(Operand<? extends TType>, Operand<TString>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, CacheDataset.Options...) - Method in class org.tensorflow.op.DataOps: The CacheDatasetV2 operation
CacheDataset.Inputs - Class in org.tensorflow.op.data
CacheDataset.Options - Class in org.tensorflow.op.data: Optional attributes for CacheDataset
cachedNodeIds - Variable in class org.tensorflow.op.estimator.BoostedTreesTrainingPredict.Inputs: Rank 1 Tensor containing cached node id which is the starting node of prediction.
cachedTreeIds - Variable in class org.tensorflow.op.estimator.BoostedTreesTrainingPredict.Inputs: Rank 1 Tensor containing cached tree ids which is the starting tree of prediction.
call(Scope, Map<String, Operand<?>>) - Method in class org.tensorflow.ConcreteFunction: Calls the function in an execution environment, adding its graph as a function if it isn't already present.
call(Scope, Operand<?>) - Method in class org.tensorflow.ConcreteFunction: Calls the function in an execution environment, adding its graph as a function if it isn't already present.
call(Map<String, Tensor>) - Method in class org.tensorflow.ConcreteFunction
call(Ops, Map<String, Operand<?>>) - Method in class org.tensorflow.ConcreteFunction: Calls the function in an execution environment, adding its graph as a function if it isn't already present.
call(Ops, Operand<?>) - Method in class org.tensorflow.ConcreteFunction: Calls the function in an execution environment, adding its graph as a function if it isn't already present.
call(Pointer, TF_OpKernelContext) - Method in class org.tensorflow.internal.c_api.Compute_func_Pointer_TF_OpKernelContext
call(TF_OpKernelConstruction) - Method in class org.tensorflow.internal.c_api.Create_func_TF_OpKernelConstruction
call(Pointer, long, Pointer) - Method in class org.tensorflow.internal.c_api.Deallocator_Pointer_long_Pointer
call(Pointer) - Method in class org.tensorflow.internal.c_api.Delete_func_Pointer
call(TF_Scope, NativeOperation, NativeOutputVector, NativeOutputVector) - Method in class org.tensorflow.internal.c_api.GradFunc
call(BytePointer) - Method in class org.tensorflow.internal.c_api.Listener_BytePointer
call(String) - Method in class org.tensorflow.internal.c_api.Listener_String
call(TF_ShapeInferenceContext, TF_Status) - Method in class org.tensorflow.internal.c_api.Shape_inference_func_TF_ShapeInferenceContext_TF_Status
call(Pointer, long) - Method in class org.tensorflow.internal.c_api.TF_Buffer.Data_deallocator_Pointer_long
call(Scope, ConcreteFunction, Map<String, Operand<?>>) - Static method in class org.tensorflow.op.core.Function: Calls the function in an execution environment, adding its graph as a function if it isn't already present.
call(Scope, ConcreteFunction, Operand<?>) - Static method in class org.tensorflow.op.core.Function: Calls the function in an execution environment, adding its graph as a function if it isn't already present.
call(Ops, T, List<Output<?>>) - Method in interface org.tensorflow.op.CustomGradient: Calculate the gradients for op.
call(ConcreteFunction, Operand<?>) - Method in class org.tensorflow.op.Ops: Calls the function in an execution environment, adding its graph as a function if it isn't already present.
call(ConcreteFunction, Map<String, Operand<?>>) - Method in class org.tensorflow.op.Ops: Calls the function in an execution environment, adding its graph as a function if it isn't already present.
call(Ops, GraphOperation, List<Output<?>>) - Method in interface org.tensorflow.op.RawCustomGradient: Calculate the gradients for op.
call(Map<String, Tensor>) - Method in class org.tensorflow.SavedModelBundle: Invokes the default function directly from this model.
call(Map<String, Tensor>) - Method in class org.tensorflow.SessionFunction
call(Map<String, Tensor>) - Method in interface org.tensorflow.TensorFunction: Invokes a function using the default eager session.
call(Tensor) - Method in interface org.tensorflow.TensorFunction: Invokes a function with a single input and output using the default eager session.
CallableOptions - Class in org.tensorflow.proto.framework: Defines a subgraph in another `GraphDef` as a set of feed points and nodes to be fetched or executed.
CallableOptions.Builder - Class in org.tensorflow.proto.framework: Defines a subgraph in another `GraphDef` as a set of feed points and nodes to be fetched or executed.
CallableOptionsOrBuilder - Interface in org.tensorflow.proto.framework
CANCEL_OP_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.QueueRunnerDef
CANCELLED_VALUE - Static variable in enum org.tensorflow.proto.framework.Code: The operation was cancelled (typically by the caller).
cancelPendingEnqueues(Boolean) - Static method in class org.tensorflow.op.core.BarrierClose: Sets the cancelPendingEnqueues option.
cancelPendingEnqueues - Variable in class org.tensorflow.op.core.BarrierClose.Inputs: If true, all pending enqueue requests that are blocked on the barrier's queue will be canceled.
cancelPendingEnqueues(Boolean) - Method in class org.tensorflow.op.core.BarrierClose.Options: Sets the cancelPendingEnqueues option.
cancelPendingEnqueues(Boolean) - Static method in class org.tensorflow.op.io.QueueClose: Sets the cancelPendingEnqueues option.
cancelPendingEnqueues - Variable in class org.tensorflow.op.io.QueueClose.Inputs: If true, all pending enqueue requests that are blocked on the given queue will be canceled.
cancelPendingEnqueues(Boolean) - Method in class org.tensorflow.op.io.QueueClose.Options: Sets the cancelPendingEnqueues option.
candidateFeatureIds - Variable in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplitV2.Inputs: Rank 1 tensor with ids for each feature.
CANONICALIZED_INPUT_SIGNATURE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedConcreteFunction
cap() - Method in class org.tensorflow.internal.c_api.TF_TString_Large
cap(long) - Method in class org.tensorflow.internal.c_api.TF_TString_Large
capacity(Long) - Static method in class org.tensorflow.op.core.Barrier: Sets the capacity option.
capacity - Variable in class org.tensorflow.op.core.Barrier.Inputs: The capacity of the barrier.
capacity(Long) - Method in class org.tensorflow.op.core.Barrier.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.MapClear: Sets the capacity option.
capacity - Variable in class org.tensorflow.op.core.MapClear.Inputs: The capacity attribute
capacity(Long) - Method in class org.tensorflow.op.core.MapClear.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.MapIncompleteSize: Sets the capacity option.
capacity - Variable in class org.tensorflow.op.core.MapIncompleteSize.Inputs: The capacity attribute
capacity(Long) - Method in class org.tensorflow.op.core.MapIncompleteSize.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.MapPeek: Sets the capacity option.
capacity - Variable in class org.tensorflow.op.core.MapPeek.Inputs: The capacity attribute
capacity(Long) - Method in class org.tensorflow.op.core.MapPeek.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.MapSize: Sets the capacity option.
capacity - Variable in class org.tensorflow.op.core.MapSize.Inputs: The capacity attribute
capacity(Long) - Method in class org.tensorflow.op.core.MapSize.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.MapStage: Sets the capacity option.
capacity - Variable in class org.tensorflow.op.core.MapStage.Inputs: Maximum number of elements in the Staging Area.
capacity(Long) - Method in class org.tensorflow.op.core.MapStage.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.MapUnstage: Sets the capacity option.
capacity - Variable in class org.tensorflow.op.core.MapUnstage.Inputs: The capacity attribute
capacity(Long) - Method in class org.tensorflow.op.core.MapUnstage.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.MapUnstageNoKey: Sets the capacity option.
capacity - Variable in class org.tensorflow.op.core.MapUnstageNoKey.Inputs: The capacity attribute
capacity(Long) - Method in class org.tensorflow.op.core.MapUnstageNoKey.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.OrderedMapClear: Sets the capacity option.
capacity - Variable in class org.tensorflow.op.core.OrderedMapClear.Inputs: The capacity attribute
capacity(Long) - Method in class org.tensorflow.op.core.OrderedMapClear.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.OrderedMapIncompleteSize: Sets the capacity option.
capacity - Variable in class org.tensorflow.op.core.OrderedMapIncompleteSize.Inputs: The capacity attribute
capacity(Long) - Method in class org.tensorflow.op.core.OrderedMapIncompleteSize.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.OrderedMapPeek: Sets the capacity option.
capacity - Variable in class org.tensorflow.op.core.OrderedMapPeek.Inputs: The capacity attribute
capacity(Long) - Method in class org.tensorflow.op.core.OrderedMapPeek.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.OrderedMapSize: Sets the capacity option.
capacity - Variable in class org.tensorflow.op.core.OrderedMapSize.Inputs: The capacity attribute
capacity(Long) - Method in class org.tensorflow.op.core.OrderedMapSize.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.OrderedMapStage: Sets the capacity option.
capacity - Variable in class org.tensorflow.op.core.OrderedMapStage.Inputs: Maximum number of elements in the Staging Area.
capacity(Long) - Method in class org.tensorflow.op.core.OrderedMapStage.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.OrderedMapUnstage: Sets the capacity option.
capacity - Variable in class org.tensorflow.op.core.OrderedMapUnstage.Inputs: The capacity attribute
capacity(Long) - Method in class org.tensorflow.op.core.OrderedMapUnstage.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.OrderedMapUnstageNoKey: Sets the capacity option.
capacity - Variable in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Inputs: The capacity attribute
capacity(Long) - Method in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.Stage: Sets the capacity option.
capacity - Variable in class org.tensorflow.op.core.Stage.Inputs: Maximum number of elements in the Staging Area.
capacity(Long) - Method in class org.tensorflow.op.core.Stage.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.StageClear: Sets the capacity option.
capacity - Variable in class org.tensorflow.op.core.StageClear.Inputs: The capacity attribute
capacity(Long) - Method in class org.tensorflow.op.core.StageClear.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.StagePeek: Sets the capacity option.
capacity - Variable in class org.tensorflow.op.core.StagePeek.Inputs: The capacity attribute
capacity(Long) - Method in class org.tensorflow.op.core.StagePeek.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.StageSize: Sets the capacity option.
capacity - Variable in class org.tensorflow.op.core.StageSize.Inputs: The capacity attribute
capacity(Long) - Method in class org.tensorflow.op.core.StageSize.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.Unstage: Sets the capacity option.
capacity - Variable in class org.tensorflow.op.core.Unstage.Inputs: The capacity attribute
capacity(Long) - Method in class org.tensorflow.op.core.Unstage.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.io.FifoQueue: Sets the capacity option.
capacity - Variable in class org.tensorflow.op.io.FifoQueue.Inputs: The upper bound on the number of elements in this queue.
capacity(Long) - Method in class org.tensorflow.op.io.FifoQueue.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.io.PaddingFifoQueue: Sets the capacity option.
capacity - Variable in class org.tensorflow.op.io.PaddingFifoQueue.Inputs: The upper bound on the number of elements in this queue.
capacity(Long) - Method in class org.tensorflow.op.io.PaddingFifoQueue.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.io.PriorityQueue: Sets the capacity option.
capacity - Variable in class org.tensorflow.op.io.PriorityQueue.Inputs: The upper bound on the number of elements in this queue.
capacity(Long) - Method in class org.tensorflow.op.io.PriorityQueue.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.io.RandomShuffleQueue: Sets the capacity option.
capacity - Variable in class org.tensorflow.op.io.RandomShuffleQueue.Inputs: The upper bound on the number of elements in this queue.
capacity(Long) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options: Sets the capacity option.
CAPTURED_TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedObject
capturedInputs - Variable in class org.tensorflow.op.core.MapDefun.Inputs: A list of tensors whose types are `Tcaptured`, corresponding to the captured inputs of the defun.
CapturedTensor - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.CapturedTensor
CapturedTensor.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.CapturedTensor
CapturedTensorOrBuilder - Interface in org.tensorflow.proto.framework
capturedTensors - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: The tensors which are captured in the function, and don't need to be batched.
cardinality - Variable in class org.tensorflow.op.data.AssertCardinalityDataset.Inputs: The cardinality input
cardinality() - Method in class org.tensorflow.op.data.DatasetCardinality: Gets cardinality.
cardinality() - Method in class org.tensorflow.op.data.experimental.DatasetCardinality: Gets cardinality.
Case - Interface in org.tensorflow.op.core: An n-way switch statement which calls a single branch function.
Case.Options - Class in org.tensorflow.op.core: Optional attributes for Case
caseOp(Operand<TInt32>, Iterable<Operand<?>>, List<Class<? extends TType>>, List<ConcreteFunction>, Case.Options...) - Method in class org.tensorflow.op.Ops: An n-way switch statement which calls a single branch function.
Cast - Class in org.tensorflow.op.dtypes: Cast x of type SrcT to y of DstT.
Cast(Operation) - Constructor for class org.tensorflow.op.dtypes.Cast
cast(Operand<? extends TType>, Class, Cast.Options...) - Method in class org.tensorflow.op.DtypesOps: Cast x of type SrcT to y of DstT.
Cast.Inputs - Class in org.tensorflow.op.dtypes
Cast.Options - Class in org.tensorflow.op.dtypes: Optional attributes for Cast
CC_FLAGS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.BuildConfiguration
Ceil<T extends TNumber> - Class in org.tensorflow.op.math: Returns element-wise smallest integer not less than x.
Ceil(Operation) - Constructor for class org.tensorflow.op.math.Ceil
ceil(Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns element-wise smallest integer not less than x.
Ceil.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
cellClip(Float) - Static method in class org.tensorflow.op.nn.BlockLSTM: Sets the cellClip option.
cellClip - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: Value to clip the 'cs' value to.
cellClip(Float) - Method in class org.tensorflow.op.nn.BlockLSTM.Options: Sets the cellClip option.
cellClip(Float) - Static method in class org.tensorflow.op.nn.LSTMBlockCell: Sets the cellClip option.
cellClip - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: Value to clip the 'cs' value to.
cellClip(Float) - Method in class org.tensorflow.op.nn.LSTMBlockCell.Options: Sets the cellClip option.
centered(Boolean) - Static method in class org.tensorflow.op.image.ExtractGlimpse: Sets the centered option.
centered - Variable in class org.tensorflow.op.image.ExtractGlimpse.Inputs: indicates if the offset coordinates are centered relative to the image, in which case the (0, 0) offset is relative to the center of the input images.
centered(Boolean) - Method in class org.tensorflow.op.image.ExtractGlimpse.Options: Sets the centered option.
centers - Variable in class org.tensorflow.op.image.NearestNeighbors.Inputs: Matrix of shape (m, d).
CHANGELIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.CommitId
channels(Long) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg: Sets the channels option.
channels - Variable in class org.tensorflow.op.image.DecodeAndCropJpeg.Inputs: Number of color channels for the decoded image.
channels(Long) - Method in class org.tensorflow.op.image.DecodeAndCropJpeg.Options: Sets the channels option.
channels(Long) - Static method in class org.tensorflow.op.image.DecodeBmp: Sets the channels option.
channels - Variable in class org.tensorflow.op.image.DecodeBmp.Inputs: The channels attribute
channels(Long) - Method in class org.tensorflow.op.image.DecodeBmp.Options: Sets the channels option.
channels(Long) - Static method in class org.tensorflow.op.image.DecodeImage: Sets the channels option.
channels - Variable in class org.tensorflow.op.image.DecodeImage.Inputs: Number of color channels for the decoded image.
channels(Long) - Method in class org.tensorflow.op.image.DecodeImage.Options: Sets the channels option.
channels(Long) - Static method in class org.tensorflow.op.image.DecodeJpeg: Sets the channels option.
channels - Variable in class org.tensorflow.op.image.DecodeJpeg.Inputs: Number of color channels for the decoded image.
channels(Long) - Method in class org.tensorflow.op.image.DecodeJpeg.Options: Sets the channels option.
channels(Long) - Static method in class org.tensorflow.op.image.DecodePng: Sets the channels option.
channels - Variable in class org.tensorflow.op.image.DecodePng.Inputs: Number of color channels for the decoded image.
channels(Long) - Method in class org.tensorflow.op.image.DecodePng.Options: Sets the channels option.
charToByteStarts() - Method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets: Gets charToByteStarts.
charValues() - Method in class org.tensorflow.op.strings.UnicodeDecode: Gets charValues.
charValues() - Method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets: Gets charValues.
checkInput(Operation) - Method in class org.tensorflow.EagerSession
checkInput(Op) - Method in interface org.tensorflow.ExecutionEnvironment: Checks that input is valid to use as an input in this execution environment.
checkInput(Operation) - Method in interface org.tensorflow.ExecutionEnvironment: Checks that input is valid to use as an input in this execution environment.
checkInput(Operation) - Method in class org.tensorflow.Graph
CheckNumerics<T extends TNumber> - Class in org.tensorflow.op.debugging: Checks a tensor for NaN, -Inf and +Inf values.
CheckNumerics(Operation) - Constructor for class org.tensorflow.op.debugging.CheckNumerics
CheckNumerics.Inputs<T extends TNumber> - Class in org.tensorflow.op.debugging
CHECKPOINT_KEY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
CHECKPOINT_PATH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.SessionLog
CHECKPOINT_VALUE - Static variable in enum org.tensorflow.proto.util.SessionLog.SessionStatus: CHECKPOINT = 3;
checkpointPrefixes - Variable in class org.tensorflow.op.train.MergeV2Checkpoints.Inputs: prefixes of V2 checkpoints to merge.
CHILD_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XEventMetadata
CHILDREN_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedObject
CHILDREN_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
Cholesky<T extends TType> - Class in org.tensorflow.op.linalg: Computes the Cholesky decomposition of one or more square matrices.
Cholesky(Operation) - Constructor for class org.tensorflow.op.linalg.Cholesky
cholesky(Operand<T>) - Method in class org.tensorflow.op.LinalgOps: Computes the Cholesky decomposition of one or more square matrices.
Cholesky.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
CholeskyGrad<T extends TNumber> - Class in org.tensorflow.op.linalg: Computes the reverse mode backpropagated gradient of the Cholesky algorithm.
CholeskyGrad(Operation) - Constructor for class org.tensorflow.op.linalg.CholeskyGrad
choleskyGrad(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.LinalgOps: Computes the reverse mode backpropagated gradient of the Cholesky algorithm.
CholeskyGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.linalg
ChooseFastestBranchDataset - Class in org.tensorflow.op.data: The ChooseFastestBranchDataset operation
ChooseFastestBranchDataset(Operation) - Constructor for class org.tensorflow.op.data.ChooseFastestBranchDataset
chooseFastestBranchDataset(Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, Iterable<Operand<?>>, Long, List<ConcreteFunction>, List<Long>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: The ChooseFastestBranchDataset operation
ChooseFastestBranchDataset.Inputs - Class in org.tensorflow.op.data
ChooseFastestDataset - Class in org.tensorflow.op.data: The ChooseFastestDataset operation
ChooseFastestDataset(Operation) - Constructor for class org.tensorflow.op.data.ChooseFastestDataset
ChooseFastestDataset - Class in org.tensorflow.op.data.experimental: The ExperimentalChooseFastestDataset operation
ChooseFastestDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.ChooseFastestDataset
chooseFastestDataset(Iterable<Operand<? extends TType>>, Long, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: The ChooseFastestDataset operation
ChooseFastestDataset.Inputs - Class in org.tensorflow.op.data
ChooseFastestDataset.Inputs - Class in org.tensorflow.op.data.experimental
chromaDownsampling(Boolean) - Static method in class org.tensorflow.op.image.EncodeJpeg: Sets the chromaDownsampling option.
chromaDownsampling - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: See http://en.wikipedia.org/wiki/Chroma_subsampling.
chromaDownsampling(Boolean) - Method in class org.tensorflow.op.image.EncodeJpeg.Options: Sets the chromaDownsampling option.
CHUNK_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.MemoryDump
ci() - Method in class org.tensorflow.op.nn.BlockLSTM: Gets ci.
ci - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The cell input over the whole time sequence.
ci() - Method in class org.tensorflow.op.nn.LSTMBlockCell: Gets ci.
ci - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The cell input.
circularBufferSize(Long) - Static method in class org.tensorflow.op.debugging.DebugIdentity: Sets the circularBufferSize option.
circularBufferSize - Variable in class org.tensorflow.op.debugging.DebugIdentity.Inputs: The circularBufferSize attribute
circularBufferSize(Long) - Method in class org.tensorflow.op.debugging.DebugIdentity.Options: Sets the circularBufferSize option.
ckptPath - Variable in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Inputs: Path to the TensorFlow checkpoint (version 2, TensorBundle) from which the old matrix Tensor will be loaded.
clear() - Method in class org.tensorflow.internal.c_api.NativeOutputVector
clear() - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder
clear() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
clear() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
clear() - Method in class org.tensorflow.proto.data.DistributeOptions.Builder
clear() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
clear() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
clear() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder
clear() - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder
clear() - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder
clear() - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder
clear() - Method in class org.tensorflow.proto.data.model.ModelProto.Builder
clear() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder
clear() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder
clear() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder
clear() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
clear() - Method in class org.tensorflow.proto.data.Options.Builder
clear() - Method in class org.tensorflow.proto.data.ThreadingOptions.Builder
clear() - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder
clear() - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder
clear() - Method in class org.tensorflow.proto.distruntime.JobDef.Builder
clear() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder
clear() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder
clear() - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters.Builder
clear() - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra.Builder
clear() - Method in class org.tensorflow.proto.example.BytesList.Builder
clear() - Method in class org.tensorflow.proto.example.Example.Builder
clear() - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder
clear() - Method in class org.tensorflow.proto.example.Feature.Builder
clear() - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder
clear() - Method in class org.tensorflow.proto.example.FeatureList.Builder
clear() - Method in class org.tensorflow.proto.example.FeatureLists.Builder
clear() - Method in class org.tensorflow.proto.example.Features.Builder
clear() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder
clear() - Method in class org.tensorflow.proto.example.FloatList.Builder
clear() - Method in class org.tensorflow.proto.example.Int64List.Builder
clear() - Method in class org.tensorflow.proto.example.SequenceExample.Builder
clear() - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder
clear() - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder
clear() - Method in class org.tensorflow.proto.framework.AllocationRecord.Builder
clear() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder
clear() - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder
clear() - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder
clear() - Method in class org.tensorflow.proto.framework.ApiDef.Builder
clear() - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder
clear() - Method in class org.tensorflow.proto.framework.ApiDefs.Builder
clear() - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder
clear() - Method in class org.tensorflow.proto.framework.AttrValue.Builder
clear() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder
clear() - Method in class org.tensorflow.proto.framework.AutoParallelOptions.Builder
clear() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder
clear() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder
clear() - Method in class org.tensorflow.proto.framework.CapturedTensor.Builder
clear() - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder
clear() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder
clear() - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList.Builder
clear() - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList.Builder
clear() - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List.Builder
clear() - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList.Builder
clear() - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
clear() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder
clear() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder
clear() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder
clear() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder
clear() - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost.Builder
clear() - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder
clear() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder
clear() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo.Builder
clear() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder
clear() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder
clear() - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder
clear() - Method in class org.tensorflow.proto.framework.DebugOptions.Builder
clear() - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder
clear() - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder
clear() - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder
clear() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder
clear() - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder
clear() - Method in class org.tensorflow.proto.framework.DictValue.Builder
clear() - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder
clear() - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder
clear() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
clear() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder
clear() - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder
clear() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder
clear() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder
clear() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder
clear() - Method in class org.tensorflow.proto.framework.GradientDef.Builder
clear() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder
clear() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder
clear() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder
clear() - Method in class org.tensorflow.proto.framework.GraphDef.Builder
clear() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder
clear() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder
clear() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder
clear() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder
clear() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder
clear() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder
clear() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput.Builder
clear() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder
clear() - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder
clear() - Method in class org.tensorflow.proto.framework.HistogramProto.Builder
clear() - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder
clear() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder
clear() - Method in class org.tensorflow.proto.framework.KernelDef.Builder
clear() - Method in class org.tensorflow.proto.framework.KernelList.Builder
clear() - Method in class org.tensorflow.proto.framework.ListValue.Builder
clear() - Method in class org.tensorflow.proto.framework.LocalLinks.Builder
clear() - Method in class org.tensorflow.proto.framework.LogNormalDistribution.Builder
clear() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder
clear() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder
clear() - Method in class org.tensorflow.proto.framework.MemoryLogStep.Builder
clear() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder
clear() - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation.Builder
clear() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder
clear() - Method in class org.tensorflow.proto.framework.MemoryStats.Builder
clear() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder
clear() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder
clear() - Method in class org.tensorflow.proto.framework.NameAttrList.Builder
clear() - Method in class org.tensorflow.proto.framework.NamedDevice.Builder
clear() - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder
clear() - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder
clear() - Method in class org.tensorflow.proto.framework.NodeDef.Builder
clear() - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder
clear() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder
clear() - Method in class org.tensorflow.proto.framework.NodeOutput.Builder
clear() - Method in class org.tensorflow.proto.framework.NoneValue.Builder
clear() - Method in class org.tensorflow.proto.framework.NormalDistribution.Builder
clear() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder
clear() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder
clear() - Method in class org.tensorflow.proto.framework.OpDef.Builder
clear() - Method in class org.tensorflow.proto.framework.OpDeprecation.Builder
clear() - Method in class org.tensorflow.proto.framework.OpInfo.Builder
clear() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder
clear() - Method in class org.tensorflow.proto.framework.OpList.Builder
clear() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder
clear() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder
clear() - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder
clear() - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder
clear() - Method in class org.tensorflow.proto.framework.PairValue.Builder
clear() - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder
clear() - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder
clear() - Method in class org.tensorflow.proto.framework.RegisteredGradient.Builder
clear() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder
clear() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder
clear() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder
clear() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder
clear() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder
clear() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder
clear() - Method in class org.tensorflow.proto.framework.RPCOptions.Builder
clear() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder
clear() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder
clear() - Method in class org.tensorflow.proto.framework.RunOptions.Builder
clear() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder
clear() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions.Builder
clear() - Method in class org.tensorflow.proto.framework.SaveableObject.Builder
clear() - Method in class org.tensorflow.proto.framework.SavedAsset.Builder
clear() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder
clear() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder
clear() - Method in class org.tensorflow.proto.framework.SavedConstant.Builder
clear() - Method in class org.tensorflow.proto.framework.SavedFunction.Builder
clear() - Method in class org.tensorflow.proto.framework.SavedModel.Builder
clear() - Method in class org.tensorflow.proto.framework.SavedObject.Builder
clear() - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder
clear() - Method in class org.tensorflow.proto.framework.SavedResource.Builder
clear() - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder
clear() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder
clear() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder
clear() - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions.Builder
clear() - Method in class org.tensorflow.proto.framework.SessionInfo.Builder
clear() - Method in class org.tensorflow.proto.framework.SessionMetadata.Builder
clear() - Method in class org.tensorflow.proto.framework.SignatureDef.Builder
clear() - Method in class org.tensorflow.proto.framework.Status.DerivedStatus.Builder
clear() - Method in class org.tensorflow.proto.framework.StepStats.Builder
clear() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder
clear() - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder
clear() - Method in class org.tensorflow.proto.framework.Summary.Builder
clear() - Method in class org.tensorflow.proto.framework.Summary.Image.Builder
clear() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder
clear() - Method in class org.tensorflow.proto.framework.SummaryDescription.Builder
clear() - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder
clear() - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData.Builder
clear() - Method in class org.tensorflow.proto.framework.TensorConnection.Builder
clear() - Method in class org.tensorflow.proto.framework.TensorDescription.Builder
clear() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder
clear() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder
clear() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder
clear() - Method in class org.tensorflow.proto.framework.TensorProto.Builder
clear() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder
clear() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim.Builder
clear() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder
clear() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent.Builder
clear() - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder
clear() - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto.Builder
clear() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder
clear() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder
clear() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
clear() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
clear() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
clear() - Method in class org.tensorflow.proto.framework.TupleValue.Builder
clear() - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder
clear() - Method in class org.tensorflow.proto.framework.ValuesDef.Builder
clear() - Method in class org.tensorflow.proto.framework.VariableDef.Builder
clear() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder
clear() - Method in class org.tensorflow.proto.framework.VerifierConfig.Builder
clear() - Method in class org.tensorflow.proto.framework.VersionDef.Builder
clear() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder
clear() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder
clear() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder
clear() - Method in class org.tensorflow.proto.profiler.XEvent.Builder
clear() - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder
clear() - Method in class org.tensorflow.proto.profiler.XLine.Builder
clear() - Method in class org.tensorflow.proto.profiler.XPlane.Builder
clear() - Method in class org.tensorflow.proto.profiler.XSpace.Builder
clear() - Method in class org.tensorflow.proto.profiler.XStat.Builder
clear() - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder
clear() - Method in class org.tensorflow.proto.util.BinSummary.Builder
clear() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder
clear() - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder
clear() - Method in class org.tensorflow.proto.util.CodeLocation.Builder
clear() - Method in class org.tensorflow.proto.util.DebugEvent.Builder
clear() - Method in class org.tensorflow.proto.util.DebuggedDevice.Builder
clear() - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder
clear() - Method in class org.tensorflow.proto.util.DebugMetadata.Builder
clear() - Method in class org.tensorflow.proto.util.Event.Builder
clear() - Method in class org.tensorflow.proto.util.Execution.Builder
clear() - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder
clear() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder
clear() - Method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.
clear() - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder
clear() - Method in class org.tensorflow.proto.util.MemChunk.Builder
clear() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder
clear() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder
clear() - Method in class org.tensorflow.proto.util.MemoryDump.Builder
clear() - Method in class org.tensorflow.proto.util.RequestedExitCode.Builder
clear() - Method in class org.tensorflow.proto.util.SavedSlice.Builder
clear() - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder
clear() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder
clear() - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder
clear() - Method in class org.tensorflow.proto.util.SaverDef.Builder
clear() - Method in class org.tensorflow.proto.util.SessionLog.Builder
clear() - Method in class org.tensorflow.proto.util.SnapShot.Builder
clear() - Method in class org.tensorflow.proto.util.SourceFile.Builder
clear() - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder
clear() - Method in class org.tensorflow.proto.util.TaggedRunMetadata.Builder
clear() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder
clear() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder
clear() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder
clear() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder
clear() - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder
clear() - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder
clear() - Method in class org.tensorflow.proto.util.testlog.EntryValue.Builder
clear() - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder
clear() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder
clear() - Method in class org.tensorflow.proto.util.testlog.MemoryInfo.Builder
clear() - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder
clear() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder
clear() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder
clear() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder
clear() - Method in class org.tensorflow.proto.util.WatchdogConfig.Builder
clear() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder
clear() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder
clearActionCount() - Method in class org.tensorflow.proto.util.MemChunk.Builder: uint64 action_count = 7;
clearActionCount() - Method in class org.tensorflow.proto.util.SnapShot.Builder: uint64 action_count = 1;
clearAddress() - Method in class org.tensorflow.proto.util.MemChunk.Builder: uint64 address = 1;
clearAfterRead(Boolean) - Static method in class org.tensorflow.op.core.TensorArray: Sets the clearAfterRead option.
clearAfterRead - Variable in class org.tensorflow.op.core.TensorArray.Inputs: If true (default), Tensors in the TensorArray are cleared after being read.
clearAfterRead(Boolean) - Method in class org.tensorflow.op.core.TensorArray.Options: Sets the clearAfterRead option.
clearAggregation() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: .tensorflow.VariableAggregation aggregation = 5;
clearAggregation() - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Indicates how a distributed variable will be aggregated.
clearAlgorithm() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder: Algorithm used for autotuning optimization.
clearAliasInputPort() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder: If >= 0, the output is an alias of an input.
clearAllEndRelMicros() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 all_end_rel_micros = 5;
clearAllEndRelNanos() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 all_end_rel_nanos = 16;
clearAllocatedBytes() - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder: Total number of bytes allocated if known
clearAllocationDescription() - Method in class org.tensorflow.proto.framework.TensorDescription.Builder: Information about the size and allocator used for the data
clearAllocationId() - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder: Identifier of the allocated buffer if known
clearAllocationId() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder: Id of the tensor buffer being allocated, used to match to a corresponding deallocation.
clearAllocationId() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
clearAllocationId() - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation.Builder: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
clearAllocationRecords() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
clearAllocatorBytesInUse() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: These are snapshots of the overall allocator memory stats.
clearAllocatorName() - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder: Name of the allocator used
clearAllocatorName() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: string allocator_name = 1;
clearAllocatorName() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder: Name of the allocator used.
clearAllocatorName() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder: Name of the allocator used.
clearAllocatorName() - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation.Builder: Name of the allocator used.
clearAllocatorName() - Method in class org.tensorflow.proto.util.MemoryDump.Builder: string allocator_name = 1;
clearAllocatorType() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: The type of GPU allocation strategy to use.
clearAllocBytes() - Method in class org.tensorflow.proto.framework.AllocationRecord.Builder: Number of bytes allocated, or de-allocated if negative.
clearAllocMicros() - Method in class org.tensorflow.proto.framework.AllocationRecord.Builder: The timestamp of the operation.
clearAllowedPositionalArguments() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder: The prefix of `argument_keywords` which may be identified by position.
clearAllowedValues() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder: A list of values that this kernel supports for this attr.
clearAllowedValues() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: The set of allowed values.
clearAllowGrowth() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.
clearAllowSoftPlacement() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Whether soft placement is allowed.
clearAllowsUninitializedInput() - Method in class org.tensorflow.proto.framework.OpDef.Builder: By default, all inputs to an Op must be initialized Tensors.
clearAllStartMicros() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 all_start_micros = 2;
clearAllStartNanos() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 all_start_nanos = 13;
clearAnyInfo() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: A serialized protobuf.
clearAnyList() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.AnyList any_list = 5;
clearApplyDefaultOptimizations() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder: bool apply_default_optimizations = 1;
clearArgAttr() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
clearArgOrder() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: List of original in_arg names to specify new argument order.
clearArgs() - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
clearArgument() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder: repeated string argument = 1;
clearArgumentKeywords() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder: A sequence of unique strings, one per Tensor argument.
clearArithmeticOptimization() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Arithmetic optimizations (default is ON) e.g.
clearAsset() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedAsset asset = 5;
clearAssetFileDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
clearAssetFileDefIndex() - Method in class org.tensorflow.proto.framework.SavedAsset.Builder: Index into `MetaGraphDef.asset_file_def[]` that describes the Asset.
clearAttr() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
clearAttr() - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder
clearAttr() - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder
clearAttr() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
clearAttr() - Method in class org.tensorflow.proto.framework.NameAttrList.Builder
clearAttr() - Method in class org.tensorflow.proto.framework.NodeDef.Builder
clearAttr() - Method in class org.tensorflow.proto.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
clearAttr() - Method in class org.tensorflow.proto.framework.OpInfo.Builder
clearAttributes() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
clearAudio() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.Summary.Audio audio = 6;
clearAutoMixedPrecision() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Optimize data types for CUDA (default is OFF).
clearAutoMixedPrecisionMkl() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Optimize data types for MKL (default is OFF).
clearAutoParallel() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
clearAutoShardPolicy() - Method in class org.tensorflow.proto.data.DistributeOptions.Builder: .tensorflow.data.AutoShardPolicy auto_shard_policy = 1;
clearAutotune() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: An indication whether autotuning is enabled for this node.
clearAutotuneOptions() - Method in class org.tensorflow.proto.data.Options.Builder: The distribution strategy options associated with the dataset.
clearAvailable() - Method in class org.tensorflow.proto.util.testlog.MemoryInfo.Builder: Immediately available memory in bytes
clearAvailableDeviceInfo() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Devices accessible to the test (e.g.
clearB() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "bool"
clearB() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(bool)"
clearBackProp() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Whether backprop is enabled for this while loop.
clearBadConsumers() - Method in class org.tensorflow.proto.framework.VersionDef.Builder: Specific consumer versions which are disallowed (e.g.
clearBandwidth() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Memory bandwidth in KB/s
clearBareConcreteFunction() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
clearBenchmarkType() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: .tensorflow.TestResults.BenchmarkType benchmark_type = 10;
clearBin() - Method in class org.tensorflow.proto.util.BinSummary.Builder: int32 bin = 1;
clearBin() - Method in class org.tensorflow.proto.util.MemChunk.Builder: int32 bin = 4;
clearBinSummary() - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
clearBits() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
clearBoolVal() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_BOOL
clearBoolValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a boolean value.
clearBoundedTensorSpecValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a value for tf.BoundedTensorSpec.
clearBoundInputs() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder: repeated int32 bound_inputs = 2;
clearBranch() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Branch prediction.
clearBucket() - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: repeated double bucket = 7 [packed = true];
clearBucketLimit() - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: Parallel arrays encoding the bucket boundaries and the bucket values.
clearBufferedBytes() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: The number of bytes stored in this node's buffer.
clearBufferedElements() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: The number of elements stored in this node's buffer.
clearBuildConfiguration() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The configuration of the build (compiled opt? with cuda? any copts?)
clearBuildCostModel() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph.
clearBuildCostModelAfter() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: The number of steps to skip before collecting statistics for the cost model.
clearBusId() - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder: Optional bus locality of device.
clearBusId() - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder: e.g.
clearBytes() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder: Byte size of the file.
clearBytesConsumed() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: The number of bytes consumed by the node.
clearBytesInUse() - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder: int64 bytes_in_use = 2;
clearBytesList() - Method in class org.tensorflow.proto.example.Feature.Builder: .tensorflow.BytesList bytes_list = 1;
clearBytesList() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
clearBytesProduced() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: The number of bytes produced by the node.
clearBytesValue() - Method in class org.tensorflow.proto.profiler.XStat.Builder: bytes bytes_value = 6;
clearCacheRpcResponse() - Method in class org.tensorflow.proto.framework.RPCOptions.Builder: Setting cache_rpc_response to true will enable sender side caching of response for RecvTensorAsync and RecvBufAsync to allow receiver to retry requests .
clearCacheSize() - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder
clearCancelOpName() - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: The operation to run to cancel the queue.
clearCanonicalizedInputSignature() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder: Input in canonicalized form that was received to create this concrete function.
clearCapturedTensor() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.CapturedTensor captured_tensor = 12;
clearCcFlags() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder: CC compiler flags, if known
clearChangelist() - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder: Submitted changelist.
clearCheckpointKey() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: The generated name of the Tensor in the checkpoint.
clearCheckpointPath() - Method in class org.tensorflow.proto.util.SessionLog.Builder: This checkpoint_path contains both the path and filename.
clearChildId() - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: XPlane.event_metadata map key for children events.
clearChildren() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
clearChildren() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
clearChunk() - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
clearClientTimeoutMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: How long to wait before garbage-collecting a client that hasn't heartbeated to the dispatcher.
clearCloseOpName() - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: The operation to run to close the queue.
clearCluster() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The cluster of which this server is a member.
clearClusterDef() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Optional list of all workers to use in this session.
clearClusterDeviceFilters() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: Device filters for remote tasks in the cluster.
clearCode() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder: Source code contained in this file line.
clearCodeLocation() - Method in class org.tensorflow.proto.util.Execution.Builder: Stack trace of the eager execution.
clearCodeLocation() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: The unique ID for code location (stack trace) of the op's creation.
clearCol() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder: Col number in the file line.
clearCollectionDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder
clearCollectiveDeterministicSequentialExecution() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: If true, make collective op execution order sequential and deterministic for potentially concurrent collective instances.
clearCollectiveGraphKey() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder: If non-zero, declares that this graph is going to use collective ops and must synchronize step_ids with any other graph with this same group_key value (in a distributed computation where tasks run disjoint graphs).
clearCollectiveGroupLeader() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Task name for group resolution.
clearCollectiveNccl() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: If true, use NCCL for CollectiveOps.
clearCollectiveRingOrder() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: If non-empty, defines a good GPU ring order on a single worker based on device interconnect.
clearColorspace() - Method in class org.tensorflow.proto.framework.Summary.Image.Builder: Valid colorspace values are 1 - grayscale 2 - grayscale + alpha 3 - RGB 4 - RGBA 5 - DIGITAL_YUV 6 - BGRA
clearCommitId() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The commit id (git hash or changelist)
clearCommonSubgraphElimination() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Common subgraph elimination (default is ON) e.g.
clearComponents() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
clearCompositeTensor() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: Generic encoding for CompositeTensors.
clearCompressionAlgorithm() - Method in class org.tensorflow.proto.framework.RPCOptions.Builder: The compression algorithm to be used.
clearCompressionLevel() - Method in class org.tensorflow.proto.framework.RPCOptions.Builder: If compression_algorithm is set, the compression level to be used.
clearComputeCost() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Estimate of the computational cost of this node, in microseconds.
clearComputeCost() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: Time it takes to run the op (in nanoseconds).
clearComputeEfficiency() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: Percentage of theoretical compute performance.
clearComputeTime() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Analytical estimate of the computational cost of this node, in microseconds.
clearComputeTime() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: Analytical compute cost (in nanoseconds).
clearConcreteFunction() - Method in class org.tensorflow.proto.framework.CapturedTensor.Builder: Name of concrete function which contains the computed graph tensor.
clearConcreteFunctionName() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder: Identifies a SavedConcreteFunction.
clearConcreteFunctions() - Method in class org.tensorflow.proto.framework.SavedFunction.Builder: repeated string concrete_functions = 1;
clearConcreteFunctions() - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder
clearCondCtxt() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder: .tensorflow.CondContextDef cond_ctxt = 1;
clearConfig() - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder
clearConstant() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedConstant constant = 9;
clearConstantFolding() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
clearConstNodeInfo() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
clearConstraint() - Method in class org.tensorflow.proto.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
clearContainer() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Container in which this resource is placed.
clearContent() - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData.Builder: The content to store for the plugin.
clearContentType() - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder: string content_type = 5;
clearContext() - Method in class org.tensorflow.proto.example.SequenceExample.Builder: .tensorflow.Features context = 1;
clearContextName() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Name of the context.
clearContextName() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Name of the context.
clearControlInput() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Ids of the control inputs for this node.
clearControlOutput() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Named control outputs for this operation.
clearControlRet() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
clearCoordinationService() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Distributed coordination service to be enabled if set.
clearCooSparse() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
clearCost() - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost.Builder: Aggregated cost value.
clearCost() - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
clearCostGraph() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: The cost graph for the computation defined by the run call.
clearCpuBudget() - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder: int32 cpu_budget = 2;
clearCpuBudget() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder: Number of available logical threads.
clearCpuGlobalJit() - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder: CPU code will be autoclustered only if global_jit_level >= ON_1 and either: - this flag is true, or - TF_XLA_FLAGS contains --tf_xla_cpu_global_jit=true.
clearCpuGovernor() - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder: What kind of cpu scaling is enabled on the host.
clearCpuInfo() - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder: Additional cpu information.
clearCpuInfo() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: CPU Information.
clearCpuLayoutConversion() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: CPU Conversion settings between NHCW and NCHW.
clearCpuTime() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Total cpu time used for all iterations (in seconds)
clearCrc32C() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: The CRC32C checksum of the tensor bytes.
clearCreationTimestamp() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: Time when we started creating this snapshot.
clearCtxt() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder
clearCurrentWork() - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder: bytes current_work = 4;
clearCustomOptimizers() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
clearData() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder: bytes data = 4;
clearData() - Method in class org.tensorflow.proto.profiler.XEvent.Builder
clearData() - Method in class org.tensorflow.proto.util.SavedSlice.Builder: The raw data of the slice is stored as a TensorProto.
clearData() - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder: This exists in all but the first item of each checkpoint file.
clearDataClass() - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder: Class of data stored in this time series.
clearDataTransferAddress() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The data transfer address of the worker server.
clearDataTransferProtocol() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The protocol for the worker to use when transferring data to clients.
clearDcomplexVal() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_COMPLEX128.
clearDebuggedDevice() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: A device on which debugger-instrumented ops and/or tensors reside.
clearDebuggedGraph() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Information about a debugged graph.
clearDebugMetadata() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Metadata related to this debugging data.
clearDebugOps() - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: Name(s) of the debugging op(s).
clearDebugOptions() - Method in class org.tensorflow.proto.framework.RunOptions.Builder: EXPERIMENTAL.
clearDebugStripper() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Strips debug-related nodes from the graph (off by default).
clearDebugTensorWatchOpts() - Method in class org.tensorflow.proto.framework.DebugOptions.Builder: Debugging options
clearDebugUrls() - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: URL(s) for debug targets(s).
clearDefaultSessionConfig() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The default configuration for sessions that run on this server.
clearDefaultValue() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder: .tensorflow.TensorProto default_value = 3;
clearDefaultValue() - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder: Specify a new default value to use for this attr.
clearDefaultValue() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: A reasonable default for this attribute if the user does not supply a value.
clearDeferred() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder: True if the deallocation is queued and will be performed later, e.g.
clearDeferredDeletionBytes() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code.
clearDelayMs() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder: Start of profiling is delayed by this much (in milliseconds).
clearDenseShapeTensorName() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder: The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
clearDependencyOptimization() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Control dependency optimizations (default is ON).
clearDeprecated() - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder: Set if this endpoint is deprecated.
clearDeprecation() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Optional deprecation based on GraphDef versions.
clearDeprecationMessage() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: If this op is deprecated, set deprecation message to the message that should be logged when this op is used.
clearDeprecationVersion() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: Major version when the op will be deleted.
clearDeprecationVersion() - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder: Major version when an endpoint will be deleted.
clearDescription() - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder: Note: this will replace any inherited arg doc.
clearDescription() - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder: Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
clearDescription() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: Additional, longer human-readable description of what the Op does.
clearDescription() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: Human readable description.
clearDescription() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: Human-readable description.
clearDescription() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Additional, longer human-readable description of what the Op does.
clearDescription() - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder: Description of the stat (might be long).
clearDescriptionPrefix() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: Modify an existing/inherited description by adding text to the beginning or end.
clearDescriptionSuffix() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: string description_suffix = 10;
clearDestination() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: Destination of graph transfer
clearDeterministic() - Method in class org.tensorflow.proto.data.Options.Builder: bool deterministic = 1;
clearDevice() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: The device of the node.
clearDevice() - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: string device = 1;
clearDevice() - Method in class org.tensorflow.proto.framework.NodeDef.Builder: A (possibly partial) specification for the device on which this node should be placed.
clearDevice() - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Device on which the operation is run.
clearDevice() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Device where the tensor is located.
clearDevice() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Unique name for the device containing the resource.
clearDevice() - Method in class org.tensorflow.proto.framework.SavedResource.Builder: A device specification indicating a required placement for the resource creation function, e.g.
clearDevice() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: string device = 7;
clearDeviceCount() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder
clearDeviceFilters() - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters.Builder: repeated string device_filters = 1;
clearDeviceFilters() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: When any filters are present sessions will ignore all devices which do not match the filters.
clearDeviceId() - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder: int32 device_id = 1;
clearDeviceId() - Method in class org.tensorflow.proto.util.DebuggedDevice.Builder: A debugger-generated ID for the device.
clearDeviceInfo() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
clearDeviceName() - Method in class org.tensorflow.proto.util.DebuggedDevice.Builder: Name of the device.
clearDeviceName() - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Name of the device that the op belongs to.
clearDeviceName() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Name of the device that the op is assigned to (if available).
clearDevicePersistentMemory() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder: Deprecated.
clearDevicePersistentMemorySize() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Deprecated.
clearDevicePersistentMemorySize() - Method in class org.tensorflow.proto.framework.MemoryStats.Builder: Deprecated.
clearDevicePersistentTensorAllocIds() - Method in class org.tensorflow.proto.framework.MemoryStats.Builder: Deprecated.
clearDeviceTempMemory() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder: Deprecated.
clearDeviceTempMemorySize() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Deprecated.
clearDeviceTempMemorySize() - Method in class org.tensorflow.proto.framework.MemoryStats.Builder: Deprecated.
clearDeviceTracerLevel() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: Levels of device tracing: (version >= 1) - Level 0 is used to disable device traces.
clearDeviceType() - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: String representation of device_type.
clearDeviceType() - Method in class org.tensorflow.proto.framework.KernelDef.Builder: Type of device this kernel runs on.
clearDeviceType() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: Device type to profile/trace: (version >= 1) DeviceType::UNSPECIFIED: All registered device profiler will be enabled.
clearDevStats() - Method in class org.tensorflow.proto.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
clearDictValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a dict `Value`.
clearDim() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
clearDimension() - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost.Builder: Aggregated cost dimension (e.g.
clearDisableFunctionalOpsLowering() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Whether functional control flow op lowering should be disabled.
clearDisableMetaOptimizer() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Disable the entire meta optimizer (off by default).
clearDisableModelPruning() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: If true, don't remove unnecessary ops from the graph
clearDisableOutputPartitionGraphs() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: If true, the session will not store an additional copy of the graph for each subgraph.
clearDisableSessionConnectionSharing() - Method in class org.tensorflow.proto.framework.RPCOptions.Builder: Disables TCP connection sharing when opening a new RPC channel.
clearDisableThreadSpinning() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: If using a direct session, disable spinning while waiting for work in the thread pool.
clearDispatcherAddress() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The address of the dispatcher to register with.
clearDispatcherTimeoutMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: How long to retry requests to the dispatcher before giving up and reporting an error.
clearDisplayId() - Method in class org.tensorflow.proto.profiler.XLine.Builder: Display id of this line.
clearDisplayName() - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder: Display name for viewing in TensorBoard.
clearDisplayName() - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: Name of the event shown in trace viewer.
clearDisplayName() - Method in class org.tensorflow.proto.profiler.XLine.Builder: Name of this XLine to display in trace viewer.
clearDistributeOptions() - Method in class org.tensorflow.proto.data.Options.Builder: The distribution strategy options associated with the dataset.
clearDoCommonSubexpressionElimination() - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder: If true, optimize the graph using common subexpression elimination.
clearDoConstantFolding() - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder: If true, perform constant folding optimization on the graph.
clearDoFunctionInlining() - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder: If true, perform function inlining on the graph.
clearDoubleVal() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_DOUBLE.
clearDoubleValue() - Method in class org.tensorflow.proto.profiler.XStat.Builder: double double_value = 2;
clearDoubleValue() - Method in class org.tensorflow.proto.util.testlog.EntryValue.Builder: double double_value = 1;
clearDtype() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: A list of tensor dtype corresponding to each element of the snapshot.
clearDtype() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
clearDtype() - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
clearDtype() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.DataType dtype = 3;
clearDtype() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.DataType dtype = 4;
clearDtype() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder: .tensorflow.DataType dtype = 5;
clearDtype() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
clearDtype() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
clearDtype() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder: .tensorflow.DataType dtype = 1;
clearDtype() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Tensor type.
clearDtype() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder: .tensorflow.DataType dtype = 1;
clearDtype() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder: .tensorflow.DataType dtype = 1;
clearDtype() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: .tensorflow.DataType dtype = 1;
clearDtype() - Method in class org.tensorflow.proto.framework.TensorDescription.Builder: Data type of tensor elements
clearDtype() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: .tensorflow.DataType dtype = 2;
clearDtype() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: .tensorflow.DataType dtype = 1;
clearDtype() - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder: .tensorflow.DataType dtype = 3;
clearDtype() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: The tensor dtype and shape.
clearDtypesAndShapes() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
clearDurationMs() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: The local profiler collects `duration_ms` milliseconds of data.
clearDurationPs() - Method in class org.tensorflow.proto.profiler.XEvent.Builder: Duration of the event in picoseconds.
clearDurationPs() - Method in class org.tensorflow.proto.profiler.XLine.Builder: Profiling duration for this line in picoseconds.
clearElement() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
clearEnable() - Method in class org.tensorflow.proto.framework.AutoParallelOptions.Builder: bool enable = 1;
clearEnableBfloat16Sendrecv() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: If true, transfer float values between processes as bfloat16.
clearEnabled() - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder: bool enabled = 1;
clearEnableHloProto() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: Whether serialize hlo_proto when XLA is used.
clearEnableMlirBridge() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: This field will eventually be deprecated and replaced by mlir_bridge_rollout (b/166038521).
clearEnableMlirGraphOptimization() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Whether to enable the MLIR-based Graph optimizations.
clearEnableOp() - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions.Builder: If present, only perform optimization for these ops.
clearEnableRecvScheduling() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: If true, use control flow to schedule the activation of Recv nodes.
clearEncodedAudioString() - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder: Encoded audio data and its associated RFC 2045 content type (e.g.
clearEncodedImageString() - Method in class org.tensorflow.proto.framework.Summary.Image.Builder: Image data in encoded format.
clearEncoding() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder
clearEndianness() - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder: .tensorflow.BundleHeaderProto.Endianness endianness = 2;
clearEndpoint() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
clearEnqueueOpName() - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: A list of enqueue operations.
clearEntries() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The list of tests or benchmarks in this run.
clearEntry() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
clearEnvironment() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder
clearEnvVars() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder
clearErrors() - Method in class org.tensorflow.proto.profiler.XSpace.Builder: Errors (if any) in the generation of planes.
clearEventMetadata() - Method in class org.tensorflow.proto.profiler.XPlane.Builder
clearEvents() - Method in class org.tensorflow.proto.profiler.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
clearExecution() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Execution of an op or a Graph (e.g., a tf.function).
clearExecutionTime() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder
clearExecutionTimeLogNormal() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: .tensorflow.LogNormalDistribution execution_time_log_normal = 11;
clearExecutionTimeNormal() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: .tensorflow.NormalDistribution execution_time_normal = 10;
clearExecutorType() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Which executor to use, the default executor will be used if it is an empty string or "DEFAULT"
clearExitCode() - Method in class org.tensorflow.proto.util.RequestedExitCode.Builder: int32 exit_code = 1;
clearExitCode() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder: .tensorflow.RequestedExitCode exit_code = 3;
clearExperimental() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: .tensorflow.ConfigProto.Experimental experimental = 16;
clearExperimental() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
clearExperimental() - Method in class org.tensorflow.proto.framework.RunOptions.Builder: .tensorflow.RunOptions.Experimental experimental = 8;
clearExperimentalDebugInfo() - Method in class org.tensorflow.proto.framework.NodeDef.Builder: This stores debug information associated with the node.
clearExperimentalDisableCompressedTensorOptimization() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Disable optimizations that assume compressed tensors.
clearExperimentalDisableFoldingQuantizationEmulation() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Disable folding quantization emulation ops such as FakeQuantWithMinMax* and QuantizeAndDequantize*.
clearExperimentalDistributedVariableComponents() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: List of component variables for a distributed variable.
clearExperimentalFullType() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: Experimental.
clearExperimentalType() - Method in class org.tensorflow.proto.framework.NodeDef.Builder: The complete type of this node.
clearExplanation() - Method in class org.tensorflow.proto.framework.OpDeprecation.Builder: Explanation of why it was deprecated and what to use instead.
clearExtent() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
clearExternalStatePolicy() - Method in class org.tensorflow.proto.data.Options.Builder: .tensorflow.data.ExternalStatePolicy external_state_policy = 6;
clearExternalValues() - Method in class org.tensorflow.proto.framework.ValuesDef.Builder
clearExtras() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder
clearF() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "float"
clearF() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(float)"
clearFailOnOptimizerErrors() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: If true, any optimization pass failing will cause the MetaOptimizer to stop with an error.
clearFaultTolerantMode() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: Whether to run in fault tolerant mode, where dispatcher state is saved across restarts.
clearFeature() - Method in class org.tensorflow.proto.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
clearFeature() - Method in class org.tensorflow.proto.example.Features.Builder
clearFeatureList() - Method in class org.tensorflow.proto.example.FeatureLists.Builder
clearFeatureLists() - Method in class org.tensorflow.proto.example.SequenceExample.Builder: .tensorflow.FeatureLists feature_lists = 2;
clearFeatureMap() - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder
clearFeatures() - Method in class org.tensorflow.proto.example.Example.Builder: .tensorflow.Features features = 1;
clearFeed() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Tensors to be fed in the callable.
clearFeedDevices() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder
clearFetch() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Fetches.
clearFetchDevices() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder
clearFetchSkipSync() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: By default, RunCallable() will synchronize the GPU stream before returning fetched tensors on a GPU device, to ensure that the values in those tensors have been produced.
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.DistributeOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.model.ModelProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.Options.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.ThreadingOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.distruntime.JobDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.example.BytesList.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.example.Example.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.example.Feature.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.example.FeatureList.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.example.FeatureLists.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.example.Features.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.example.FloatList.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.example.Int64List.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.example.SequenceExample.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.AllocationRecord.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.ApiDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.ApiDefs.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.AttrValue.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.AutoParallelOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.CapturedTensor.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.CollectionDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.DebugOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.DictValue.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.GPUOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.GradientDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.GraphDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.GraphOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.HistogramProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.KernelDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.KernelList.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.ListValue.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.LocalLinks.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.LogNormalDistribution.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.MemoryLogStep.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.MemoryStats.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.NameAttrList.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.NamedDevice.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.NodeDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.NodeOutput.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.NoneValue.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.NormalDistribution.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.OpDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.OpDeprecation.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.OpInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.OpList.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.PairValue.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.RegisteredGradient.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.RPCOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.RunOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.SaveableObject.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.SavedAsset.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.SavedConstant.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.SavedFunction.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.SavedModel.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.SavedObject.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.SavedResource.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.SessionInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.SessionMetadata.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.SignatureDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.Status.DerivedStatus.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.StepStats.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.Summary.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.Summary.Image.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.SummaryDescription.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.TensorConnection.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.TensorDescription.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.TensorInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.TensorProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.TupleValue.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.ValuesDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.VariableDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.VerifierConfig.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.VersionDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.profiler.XEvent.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.profiler.XLine.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.profiler.XPlane.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.profiler.XSpace.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.profiler.XStat.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.BinSummary.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.CodeLocation.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.DebugEvent.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.DebuggedDevice.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.DebugMetadata.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.Event.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.Execution.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.MemChunk.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.MemoryDump.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.RequestedExitCode.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.SavedSlice.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.SaverDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.SessionLog.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.SnapShot.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.SourceFile.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.TaggedRunMetadata.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.testlog.EntryValue.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.testlog.MemoryInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.WatchdogConfig.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder
clearFields() - Method in class org.tensorflow.proto.framework.DictValue.Builder
clearFileIndex() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder: File name index, which can be used to retrieve the file name string from `files`.
clearFileLineCol() - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder: Stack frame, i.e., a frame of a stack trace, containing information regarding the file name, line number, function name, code content of the line, and column number (if available).
clearFileLineCols() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder: Each line in the stack trace.
clearFilename() - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder: The filename within an assets directory.
clearFilenameTensorName() - Method in class org.tensorflow.proto.util.SaverDef.Builder: The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.
clearFilePath() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder: Path to the source code file.
clearFilePath() - Method in class org.tensorflow.proto.util.SourceFile.Builder: Path to the file.
clearFiles() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder: This stores all the source code file names and can be indexed by the `file_index`.
clearFileVersion() - Method in class org.tensorflow.proto.util.DebugMetadata.Builder: Version of the DebugEvent file format.
clearFileVersion() - Method in class org.tensorflow.proto.util.Event.Builder: An event file was started, with the specified version.
clearFilterFusion() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder: bool filter_fusion = 6;
clearFinalized() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: bool finalized = 1000;
clearFixedLenFeature() - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
clearFloat64Value() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a double-precision floating-point value (a Python `float`).
clearFloatList() - Method in class org.tensorflow.proto.example.Feature.Builder: .tensorflow.FloatList float_list = 2;
clearFloatList() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.FloatList float_list = 4;
clearFloatVal() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_FLOAT.
clearForceGpuCompatible() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: Force all tensors to be gpu_compatible.
clearFragmentationMetric() - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder: float fragmentation_metric = 5;
clearFreedAtCount() - Method in class org.tensorflow.proto.util.MemChunk.Builder: uint64 freed_at_count = 6;
clearFrequency() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Core Frequency in Mhz
clearFromTensor() - Method in class org.tensorflow.proto.framework.TensorConnection.Builder: A tensor name.
clearFullargspec() - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder: Full arg spec from inspect.getfullargspec().
clearFullName() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder: Name of the full variable of which this is a slice.
clearFullName() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: The full name of the variable/tensor, if applicable.
clearFullShape() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder: Shape of the full variable.
clearFunc() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "func" represents a function.
clearFunc() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(attr)"
clearFunc() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder: Name of function contains the file line.
clearFunction() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
clearFunction() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedFunction function = 6;
clearFunctionAliases() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder
clearFunctionGraphs() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
clearFunctionName() - Method in class org.tensorflow.proto.framework.GradientDef.Builder: The function name.
clearFunctionOptimization() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Function optimizations (default is ON).
clearFunctionSpec() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder: The spec of the function that this ConcreteFunction is traced from.
clearFunctionSpec() - Method in class org.tensorflow.proto.framework.SavedFunction.Builder: .tensorflow.FunctionSpec function_spec = 2;
clearGlobalJitLevel() - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder: .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
clearGlobalName() - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto.Builder: The global name of the threadpool.
clearGlobalStep() - Method in class org.tensorflow.proto.framework.DebugOptions.Builder: Caller-specified global step count.
clearGpuOptions() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Options that apply to all GPUs.
clearGradient() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
clearGradientFunc() - Method in class org.tensorflow.proto.framework.GradientDef.Builder: The gradient function's name.
clearGradientFunc() - Method in class org.tensorflow.proto.framework.RegisteredGradient.Builder: The gradient function's name.
clearGraphDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: GraphDef.
clearGraphDef() - Method in class org.tensorflow.proto.util.Event.Builder: An encoded version of a GraphDef.
clearGraphExecutionTrace() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
clearGraphHash() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: Stores the fingerprint of the graph that describes the dataset that is snapshotted.
clearGraphId() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: The ID of the graph (i.e., FuncGraph) executed here: applicable only to the execution of a FuncGraph.
clearGraphId() - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: An ID for the graph.
clearGraphId() - Method in class org.tensorflow.proto.util.Execution.Builder: The graph that's executed: applicable only to the eager execution of a FuncGraph.
clearGraphId() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Unique ID of the graph (generated by debugger).
clearGraphInputNodeInfo() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph
clearGraphName() - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: Name of the graph (if available).
clearGraphName() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Name of the graph that the op is a part of (if available).
clearGraphOpCreation() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
clearGraphOpName() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: Name of the op (in the OpDef) to specify the API for.
clearGraphOptions() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Options that apply to all graphs.
clearGraphOutputNodeInfo() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
clearHalfVal() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_HALF, DT_BFLOAT16.
clearHandle() - Method in class org.tensorflow.proto.framework.MemoryLogStep.Builder: Handle describing the feeds and fetches of the step.
clearHandleData() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: The handle data for resource inputs.
clearHash() - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder: string hash = 2;
clearHashCode() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Hash code for the type of the resource.
clearHasLength() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent.Builder
clearHasMinimum() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: For type == "int", this is a minimum value.
clearHasSingleReference() - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder: Set if this tensor only has one remaining reference
clearHealthStatus() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder: .tensorflow.WorkerHealth health_status = 1;
clearHeartbeatIntervalMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: How often the worker should heartbeat to the master.
clearHeight() - Method in class org.tensorflow.proto.framework.Summary.Image.Builder: Dimensions of the image.
clearHisto() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.HistogramProto histo = 5;
clearHost() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder: The host name on which a source code file is located.
clearHostMemoryArg() - Method in class org.tensorflow.proto.framework.KernelDef.Builder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
clearHostName() - Method in class org.tensorflow.proto.util.CodeLocation.Builder: Host name on which the source files are located.
clearHostName() - Method in class org.tensorflow.proto.util.SourceFile.Builder: Name of the host on which the file is located.
clearHostname() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Host name of machine that ran the benchmark.
clearHostname() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder: string hostname = 3;
clearHostnames() - Method in class org.tensorflow.proto.profiler.XSpace.Builder: List of hostnames that XPlanes are generated from.
clearHostTempMemorySize() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Deprecated.
clearHostTracerLevel() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: Levels of host tracing: (version >= 1) - Level 0 is used to disable host traces.
clearI() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "int"
clearI() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(int)"
clearI() - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: TODO(mdan): list/tensor, map? Need to reconcile with TFT_RECORD, etc.
clearId() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Unique node ID.
clearId() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: The id of the node.
clearId() - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: XPlane.event_metadata map key.
clearId() - Method in class org.tensorflow.proto.profiler.XLine.Builder: Id of this line, can be repeated within an XPlane.
clearId() - Method in class org.tensorflow.proto.profiler.XPlane.Builder: int64 id = 1;
clearId() - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder: XPlane.stat_metadata map key.
clearId() - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder: A unique ID for the stack frame: A UUID-like string.
clearIdCounter() - Method in class org.tensorflow.proto.data.model.ModelProto.Builder: Counter for node IDs of this model.
clearIdentifier() - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder: Corresponds to a registration of the type to use in the loading program.
clearImage() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.Summary.Image image = 4;
clearImplementationSelector() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Enable the swap of kernel implementations based on the device placement (default is ON).
clearInaccurate() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Are the costs inaccurate?
clearInArg() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
clearIncarnation() - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: A device is assigned a global unique number each time it is initialized.
clearIncludeDatasetOps() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: We don't collect the dataset ops by default for better trace-viewer scalability.
clearIndex() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder: Index of the output being set.
clearIndicesOutputTensorName() - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder: string indices_output_tensor_name = 3;
clearIndicesTensorName() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder: The indices Tensor must have dtype int64 and shape [?, ?].
clearInferShapes() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: Annotate each Node with Op output shape data, to the extent it can be statically inferred.
clearInitializerName() - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Name of the initializer op.
clearInitialValueName() - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Name of the tensor holding the variable's initial value.
clearInput() - Method in class org.tensorflow.proto.framework.NodeDef.Builder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
clearInputArg() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the input(s).
clearInputCount() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder: int32 input_count = 6;
clearInputInfo() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
clearInputNames() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Names of the input tensors to the op.
clearInputProcessingTimeCount() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: int64 input_processing_time_count = 13;
clearInputProcessingTimeSum() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Statistic of inputs processing time history.
clearInputs() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: IDs of inputs of this node.
clearInputs() - Method in class org.tensorflow.proto.framework.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
clearInputs() - Method in class org.tensorflow.proto.framework.SignatureDef.Builder
clearInputSignature() - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder: The input signature, if specified.
clearInputTensorIds() - Method in class org.tensorflow.proto.util.Execution.Builder: IDs of the input tensors (if available).
clearInstrumentedGraphDef() - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: An encoded version of a GraphDef.
clearInstrumentedOps() - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: Names of the instrumented ops.
clearInt64List() - Method in class org.tensorflow.proto.example.Feature.Builder: .tensorflow.Int64List int64_list = 3;
clearInt64List() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.Int64List int64_list = 3;
clearInt64Val() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_INT64
clearInt64Value() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a signed integer value, limited to 64 bits.
clearInt64Value() - Method in class org.tensorflow.proto.profiler.XStat.Builder: int64 int64_value = 4;
clearInternalFragmentationFraction() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: BFC Allocator can return an allocated chunk of memory upto 2x the requested size.
clearInterOpParallelismThreads() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Nodes that perform blocking operations are enqueued on a pool of inter_op_parallelism_threads available in each process.
clearInterOpThreadPool() - Method in class org.tensorflow.proto.framework.RunOptions.Builder: The thread pool to use, if session_inter_op_thread_pool is configured.
clearInterOptimizerVerifierConfig() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run after every optimizer.
clearIntraOpParallelism() - Method in class org.tensorflow.proto.framework.SessionInfo.Builder: int64 intra_op_parallelism = 1;
clearIntraOpParallelismThreads() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: The execution of an individual op (for some op types) can be parallelized on a pool of intra_op_parallelism_threads.
clearIntVal() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_INT32, DT_INT16, DT_UINT16, DT_INT8, DT_UINT8.
clearInUse() - Method in class org.tensorflow.proto.util.MemChunk.Builder: bool in_use = 8;
clearIsAggregate() - Method in class org.tensorflow.proto.framework.OpDef.Builder: If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
clearIsCommutative() - Method in class org.tensorflow.proto.framework.OpDef.Builder: True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
clearIsDistributedCommunication() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Indicates whether the op implementation uses distributed communication.
clearIsFinal() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: If true, the output is permanent: it can't be discarded, because this node is part of the "final output".
clearIsMethod() - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder: Whether this represents a class method.
clearIsolateSessionState() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: If true, any resources such as Variables used in the session will not be shared with other sessions.
clearIsRef() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: For inputs: if true, the inputs are required to be refs.
clearIsResource() - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Whether to represent this as a ResourceVariable.
clearIsStateful() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.
clearIters() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: If a benchmark, how many iterations it was run for
clearJitCompile() - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder: .tensorflow.FunctionSpec.JitCompile jit_compile = 6;
clearJob() - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
clearJobGcCheckIntervalMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: How often the dispatcher should scan through to delete old and unused jobs.
clearJobGcTimeoutMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: How long a job needs to be unused before it becomes a candidate for garbage collection.
clearJobName() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The name of the job of which this server is a member.
clearJobs() - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
clearKeepCheckpointEveryNHours() - Method in class org.tensorflow.proto.util.SaverDef.Builder: How often to keep an additional checkpoint.
clearKernel() - Method in class org.tensorflow.proto.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
clearKernelName() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder: Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
clearKernelName() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder: Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
clearKernelTrackerMaxBytes() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: If kernel_tracker_max_bytes = n > 0, then a tracking event is inserted after every series of kernels allocating a sum of memory >= n.
clearKernelTrackerMaxInterval() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: Parameters for GPUKernelTracker.
clearKernelTrackerMaxPending() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: If kernel_tracker_max_pending > 0 then no more than this many tracking events can be outstanding at a time.
clearKey() - Method in class org.tensorflow.proto.framework.PairValue.Builder: string key = 1;
clearKind() - Method in class org.tensorflow.proto.example.Feature.Builder
clearKind() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder
clearKind() - Method in class org.tensorflow.proto.framework.SavedObject.Builder
clearKind() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder
clearKind() - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder
clearKind() - Method in class org.tensorflow.proto.util.testlog.EntryValue.Builder
clearL1CacheSize() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: L1 cache size in bytes
clearL2CacheSize() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: L2 cache size in bytes
clearL3CacheSize() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: L3 cache size in bytes
clearLabel() - Method in class org.tensorflow.proto.framework.KernelDef.Builder: This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
clearLargestAllocSize() - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder: int64 largest_alloc_size = 4;
clearLastModified() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder: The timestamp at which the source code file is last modified.
clearLayoutOptimizer() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Optimize tensor layouts (default is ON) e.g.
clearLength() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent.Builder: int64 length = 2;
clearLength() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder: uint64 length = 3;
clearLengthFrames() - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder: Length of the audio in frames (samples per channel).
clearLevel() - Method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.

.tensorflow.LogMessage.Level level = 1;
clearLibrary() - Method in class org.tensorflow.proto.framework.GraphDef.Builder: "library" provides user-defined functions.
clearLine() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder: Line number in the file.
clearLines() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder: Line-by-line content of the source code file.
clearLines() - Method in class org.tensorflow.proto.profiler.XPlane.Builder: Parallel timelines grouped in this plane.
clearLines() - Method in class org.tensorflow.proto.util.SourceFile.Builder: Line-by-line content of the file.
clearLink() - Method in class org.tensorflow.proto.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
clearLinkage() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
clearLinks() - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder: Optional local interconnect links to other devices.
clearList() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: any "list(...)"
clearListValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a list of `Value`.
clearLiveBytes() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: The bytes that are not deallocated.
clearLocality() - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: Platform-specific data about device that may be useful for supporting efficient data transfers.
clearLocalName() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference.Builder: A user-provided name for the edge.
clearLogDevicePlacement() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Whether device placements should be logged.
clearLogMessage() - Method in class org.tensorflow.proto.util.Event.Builder: Deprecated.
clearLoopEnterNames() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: List of names for enter tensors.
clearLoopExitNames() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: List of names for exit tensors.
clearLoopOptimization() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Loop optimizations (default is ON).
clearMachine() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
clearMachineConfiguration() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: Machine-specific parameters (Platform and CPU info)
clearMapAndBatchFusion() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder: bool map_and_batch_fusion = 9;
clearMapAndFilterFusion() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder: bool map_and_filter_fusion = 10;
clearMapFusion() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder: bool map_fusion = 11;
clearMapParallelization() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder: bool map_parallelization = 12;
clearMax() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder: Maximum value of the parameter.
clearMax() - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: double max = 2;
clearMaxByteSize() - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder: repeated int32 max_byte_size = 2;
clearMaxFoldedConstantInBytes() - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder: Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.
clearMaximum() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto maximum = 5;
clearMaximumIterationsName() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Optional name of the maximum_iterations tensor.
clearMaxIntraOpParallelism() - Method in class org.tensorflow.proto.data.ThreadingOptions.Builder: int32 max_intra_op_parallelism = 1;
clearMaxSessionDurationMs() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder: Maximum time (in milliseconds) a profiling session manager waits for all profilers to finish after issuing gRPC request.
clearMaxToKeep() - Method in class org.tensorflow.proto.util.SaverDef.Builder: Maximum number of checkpoints to keep.
clearMaxValue() - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder: The maximum acceptable value for the metric if specified
clearMaybeTypeName() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: For debug-only, the name of the type pointed to by this handle, if available.
clearMemory() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
clearMemoryEfficiency() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: Percentage of theoretical memory performance.
clearMemoryInfo() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: .tensorflow.MemoryInfo memory_info = 6;
clearMemoryLimit() - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: Memory capacity of device in bytes.
clearMemoryLimit() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder: Memory capacity in bytes.
clearMemoryLimitMb() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder: Per "virtual" device memory limit, in MB.
clearMemoryOptimization() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Configures memory optimization passes through the meta-optimizer.
clearMemoryOptimizerTargetNodeNameScope() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: A node name scope for node names which are valid outputs of recomputations.
clearMemoryRatio() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Ratio identifies how many parallelism calls are introduced by one buffered element.
clearMemorySize() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Memory size in bytes
clearMemoryStats() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: .tensorflow.MemoryStats memory_stats = 12;
clearMemoryTime() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Analytical estimate of the memory access cost of this node, in microseconds.
clearMemoryTime() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: Analytical memory access cost (in nanoseconds).
clearMessage() - Method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.

string message = 2;
clearMeta() - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder: This is only present at the first item of each checkpoint file and serves as a table of contents, listing all the tensor slices saved in this file.
clearMetadata() - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder: Deprecated.
clearMetadata() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: Contains metadata on the summary value such as which plugins may use it.
clearMetadata() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder: Portions of the object that are not Tensors.
clearMetadata() - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: Additional metadata in serialized format.
clearMetadataId() - Method in class org.tensorflow.proto.profiler.XEvent.Builder: XEventMetadata.id of corresponding metadata.
clearMetadataId() - Method in class org.tensorflow.proto.profiler.XStat.Builder: XStatMetadata.id of corresponding metadata.
clearMetaGraphDef() - Method in class org.tensorflow.proto.util.Event.Builder: An encoded version of a MetaGraphDef.
clearMetaGraphs() - Method in class org.tensorflow.proto.framework.SavedModel.Builder: One or more MetaGraphs.
clearMetaGraphVersion() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: User specified Version string.
clearMetaInfoDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
clearMetaOptimizerIterations() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Controls how many times we run the optimizers in meta optimizer (default is once).
clearMetaOptimizerTimeoutMs() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Maximum number of milliseconds to spend optimizing a single graph before timing out.
clearMethodName() - Method in class org.tensorflow.proto.framework.SignatureDef.Builder: Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.
clearMetrics() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Metric name, value and expected range.
clearMhzPerCpu() - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder: How fast are these cpus?
clearMin() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder: Minimum value of the parameter.
clearMin() - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: double min = 1;
clearMinConsumer() - Method in class org.tensorflow.proto.framework.VersionDef.Builder: Any consumer below this version is not allowed to consume this data.
clearMinGraphNodes() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: The minimum number of nodes in a graph to optimizer.
clearMinimum() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto minimum = 4;
clearMinimum() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: int64 minimum = 6;
clearMinValue() - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder: The minimum acceptable value for the metric if specified
clearMlirBridgeRollout() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: This field is underdevelopment, for now use enable_mlir_bridge (b/166038521).
clearMode() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder: opt, dbg, etc
clearModel() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Model (Haswell, K40, ...)
clearModel() - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder: e.g.
clearModelInputTime() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder: Time between two consecutive `GetNext` calls to the iterator represented by the output node.
clearMsg() - Method in class org.tensorflow.proto.util.SessionLog.Builder: string msg = 3;
clearMu() - Method in class org.tensorflow.proto.framework.LogNormalDistribution.Builder: double mu = 1;
clearMu() - Method in class org.tensorflow.proto.framework.NormalDistribution.Builder: double mu = 1;
clearName() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder: bytes name = 1;
clearName() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Human-readable name of the node.
clearName() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder: Human-readable name of the parameter.
clearName() - Method in class org.tensorflow.proto.distruntime.JobDef.Builder: The name of this job.
clearName() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder: The name of this job.
clearName() - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder: string name = 1;
clearName() - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder: string name = 1;
clearName() - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder: Name should be either like "CamelCaseName" or "Package.CamelCaseName".
clearName() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: string name = 1;
clearName() - Method in class org.tensorflow.proto.framework.CapturedTensor.Builder: Name of captured tensor
clearName() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: The name of the node.
clearName() - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: Fully specified name of the device within a cluster.
clearName() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder: string name = 1;
clearName() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder: string name = 1;
clearName() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder: string name = 1;
clearName() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder: string name = 1;
clearName() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder: Name of an attr from the Op.
clearName() - Method in class org.tensorflow.proto.framework.NameAttrList.Builder: string name = 1;
clearName() - Method in class org.tensorflow.proto.framework.NamedDevice.Builder: string name = 1;
clearName() - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder: Name of the tensor.
clearName() - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder: string name = 1;
clearName() - Method in class org.tensorflow.proto.framework.NodeDef.Builder: The name given to this operator.
clearName() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: Name for the input/output.
clearName() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: A descriptive name for the argument.
clearName() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Op names starting with an underscore are reserved for internal use.
clearName() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Unique name of this resource.
clearName() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder: string name = 1;
clearName() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: string name = 6;
clearName() - Method in class org.tensorflow.proto.framework.SessionMetadata.Builder: string name = 1;
clearName() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: For dense `Tensor`s, the name of the tensor in the graph.
clearName() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim.Builder: Optional name of the tensor dimension.
clearName() - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder: string name = 1;
clearName() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: A name for the Tensor.
clearName() - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: Name of the event.
clearName() - Method in class org.tensorflow.proto.profiler.XLine.Builder: Name of this XLine.
clearName() - Method in class org.tensorflow.proto.profiler.XPlane.Builder: Name of this line.
clearName() - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder: Name of the stat (should be short).
clearName() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder: string name = 2;
clearName() - Method in class org.tensorflow.proto.util.SavedSlice.Builder: Name of the tensor that this slice belongs to.
clearName() - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Name of the tensor.
clearName() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder: Device name.
clearName() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: The name of the specific benchmark or test (e.g.
clearName() - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder: Metric name
clearName() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: Benchmark target identifier.
clearNamedTupleValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents Python's namedtuple.
clearNestedContexts() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Contexts contained inside this context (e.g.
clearNestedContexts() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g.
clearNode() - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
clearNode() - Method in class org.tensorflow.proto.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
clearNode() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: The node name (optional).
clearNodeClass() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Class of this node.
clearNodeDef() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
clearNodeId() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder: int32 node_id = 2;
clearNodeId() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder: int32 node_id = 2;
clearNodeId() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput.Builder: int32 node_id = 1;
clearNodeId() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder: int32 node_id = 1;
clearNodeId() - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder: int32 node_id = 1;
clearNodeId() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference.Builder: An index into `TrackableObjectGraph.nodes`, indicating the object being referenced.
clearNodeInfo() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
clearNodeInput() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
clearNodeInputInfo() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
clearNodeList() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.NodeList node_list = 1;
clearNodeName() - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: Name of the node to watch.
clearNodeName() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: TODO(tucker): Use some more compact form of node identity than the full string name.
clearNodeName() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: This field is deprecated and will not be set.
clearNodeOutputInfo() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
clearNodes() - Method in class org.tensorflow.proto.data.model.ModelProto.Builder
clearNodes() - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
clearNodes() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
clearNodeStats() - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
clearNoneValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents None.
clearNoopElimination() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder: bool noop_elimination = 14;
clearNum() - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: double num = 3;
clearNumAllocs() - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder: int64 num_allocs = 1;
clearNumaNode() - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder: Optional NUMA locality of device.
clearNumberAttr() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: if specified, attr must have type "int"
clearNumBytes() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder: Number of bytes in the allocation.
clearNumChannels() - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder: Number of channels of audio.
clearNumChannelsPerTarget() - Method in class org.tensorflow.proto.framework.RPCOptions.Builder: Setting num_channels_per_target > 0 allows uses of multiple channels to communicate to the same target.
clearNumCores() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Number of cores
clearNumCores() - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder: int64 num_cores = 1;
clearNumCoresAllowed() - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder: int64 num_cores_allowed = 2;
clearNumDevices() - Method in class org.tensorflow.proto.data.DistributeOptions.Builder: int32 num_devices = 2;
clearNumDevToDevCopyStreams() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: If > 1, the number of device-to-device copy streams to create for each GPUDevice.
clearNumElements() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: The number of elements in the snapshot.
clearNumElements() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: The number of elements produced by the node.
clearNumFlatComponents() - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder: The number of flat tensor components required by this TypeSpec.
clearNumOccurrences() - Method in class org.tensorflow.proto.profiler.XEvent.Builder: Number of occurrences of the event, if aggregated.
clearNumOutputs() - Method in class org.tensorflow.proto.util.Execution.Builder: Number of output tensors.
clearNumOutputs() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Number of output tensors emitted by the op.
clearNumRecordsProduced() - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder: int64 num_records_produced = 3;
clearNumRegisters() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Number of registers per core.
clearNumReplicas() - Method in class org.tensorflow.proto.framework.AutoParallelOptions.Builder: int32 num_replicas = 2;
clearNumShards() - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder: Number of data files in the bundle.
clearNumThreads() - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto.Builder: The number of threads in the pool.
clearObjectGraphDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Extra information about the structure of functions and stateful objects.
clearObsoleteOldStyleHistogram() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: bytes obsolete_old_style_histogram = 3;
clearOffset() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: int64 offset = 4;
clearOffset() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder: uint64 offset = 1;
clearOffsetPs() - Method in class org.tensorflow.proto.profiler.XEvent.Builder: Start time of the event in picoseconds, as offset from XLine.timestamp_ns().
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.DistributeOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.model.ModelProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.Options.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.ThreadingOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.distruntime.JobDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.example.BytesList.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.example.Example.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.example.Feature.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.example.FeatureList.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.example.FeatureLists.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.example.Features.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.example.FloatList.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.example.Int64List.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.example.SequenceExample.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.AllocationRecord.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.ApiDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.ApiDefs.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.AttrValue.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.AutoParallelOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.CapturedTensor.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.CollectionDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.DebugOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.DictValue.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.GPUOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.GradientDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.GraphDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.GraphOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.HistogramProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.KernelDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.KernelList.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.ListValue.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.LocalLinks.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.LogNormalDistribution.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.MemoryLogStep.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.MemoryStats.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.NameAttrList.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.NamedDevice.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.NodeDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.NodeOutput.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.NoneValue.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.NormalDistribution.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.OpDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.OpDeprecation.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.OpInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.OpList.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.PairValue.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.RegisteredGradient.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.RPCOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.RunOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.SaveableObject.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.SavedAsset.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.SavedConstant.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.SavedFunction.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.SavedModel.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.SavedObject.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.SavedResource.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.SessionInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.SessionMetadata.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.SignatureDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.Status.DerivedStatus.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.StepStats.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.Summary.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.Summary.Image.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.SummaryDescription.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.TensorConnection.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.TensorDescription.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.TensorInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.TensorProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.TupleValue.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.ValuesDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.VariableDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.VerifierConfig.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.VersionDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.profiler.XEvent.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.profiler.XLine.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.profiler.XPlane.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.profiler.XSpace.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.profiler.XStat.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.BinSummary.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.CodeLocation.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.DebugEvent.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.DebuggedDevice.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.DebugMetadata.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.Event.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.Execution.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.MemChunk.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.MemoryDump.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.RequestedExitCode.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.SavedSlice.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.SaverDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.SessionLog.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.SnapShot.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.SourceFile.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.TaggedRunMetadata.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.testlog.EntryValue.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.testlog.MemoryInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.WatchdogConfig.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder
clearOp() - Method in class org.tensorflow.proto.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
clearOp() - Method in class org.tensorflow.proto.framework.KernelDef.Builder: Must match the name of an Op.
clearOp() - Method in class org.tensorflow.proto.framework.NodeDef.Builder: The operation name.
clearOp() - Method in class org.tensorflow.proto.framework.OpInfo.Builder: The operation name.
clearOp() - Method in class org.tensorflow.proto.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
clearOp() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: The op
clearOpDevice() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Device of the operation producing this tensor.
clearOpEndRelMicros() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 op_end_rel_micros = 4;
clearOpEndRelNanos() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 op_end_rel_nanos = 15;
clearOperation() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder: Name of the operation making the allocation.
clearOperation() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder: Name of the operation making the deallocation.
clearOperation() - Method in class org.tensorflow.proto.framework.SavedConstant.Builder: An Operation name for a ConstantOp in this SavedObjectGraph's MetaGraph.
clearOperationTimeoutInMs() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Global timeout for all blocking operations in this session.
clearOpId() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: The ID of the operation that produced this tensor.
clearOpMemory() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: .tensorflow.OpPerformance.OpMemory op_memory = 9;
clearOpName() - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Name of the op (applicable only in the case of the `FULL_TENSOR` trace level).
clearOpName() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Name of the op (e.g., "Dense/MatMul_1").
clearOpName() - Method in class org.tensorflow.proto.util.MemChunk.Builder: string op_name = 5;
clearOpPerformance() - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
clearOpStartRelMicros() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 op_start_rel_micros = 3;
clearOpStartRelNanos() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 op_start_rel_nanos = 14;
clearOptimizationOptions() - Method in class org.tensorflow.proto.data.Options.Builder: The optimization options associated with the dataset.
clearOptimizationParams() - Method in class org.tensorflow.proto.data.model.ModelProto.Builder: .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
clearOptimizeForStaticGraph() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: If true, the session may treat the graph as being static for optimization purposes.
clearOptimizerOptions() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: Options controlling how graph is optimized.
clearOptimizers() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
clearOptionalApplyDefaultOptimizations() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
clearOptionalCpuBudget() - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder
clearOptionalDeterministic() - Method in class org.tensorflow.proto.data.Options.Builder
clearOptionalEnabled() - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder
clearOptionalExternalStatePolicy() - Method in class org.tensorflow.proto.data.Options.Builder
clearOptionalFilterFusion() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
clearOptionalMapAndBatchFusion() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
clearOptionalMapAndFilterFusion() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
clearOptionalMapFusion() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
clearOptionalMapParallelization() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
clearOptionalMaxIntraOpParallelism() - Method in class org.tensorflow.proto.data.ThreadingOptions.Builder
clearOptionalNoopElimination() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
clearOptionalNumDevices() - Method in class org.tensorflow.proto.data.DistributeOptions.Builder
clearOptionalParallelBatch() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
clearOptionalPrivateThreadpoolSize() - Method in class org.tensorflow.proto.data.ThreadingOptions.Builder
clearOptionalRamBudget() - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder
clearOptionalRestore() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: Whether checkpoints should be considered as matching even without this value restored.
clearOptionalShuffleAndRepeatFusion() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
clearOptionalSlack() - Method in class org.tensorflow.proto.data.Options.Builder
clearOptLevel() - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder: Overall optimization level.
clearOpts() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder: Bazel compilation options, if known
clearOpType() - Method in class org.tensorflow.proto.util.Execution.Builder: Op type (e.g., "MatMul").
clearOpType() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Type of the op (e.g., "MatMul").
clearOriginalFuncNames() - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder: This is intended to store the list of names of the functions from the original graph that this node was derived.
clearOriginalGraphDef() - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: Original (uninstrumented) GraphDef (if available).
clearOriginalNodeNames() - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder: Opaque string inserted into error messages created by the runtime.
clearOriginalVariableNodeId() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder: An index into `TrackableObjectGraph.nodes`, indicating the variable object this slot was created for.
clearOutArg() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
clearOuterContextId() - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: IDs of the immediate enclosing context (graph), if any.
clearOutput() - Method in class org.tensorflow.proto.data.model.ModelProto.Builder: ID of the output node of this model.
clearOutput() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
clearOutputArg() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the output(s).
clearOutputCount() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder: int32 output_count = 7;
clearOutputInfo() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
clearOutputMemory() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder: The output information may have memory usage and output shapes.
clearOutputNum() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: The index into the outputs of the operation that produced this tensor.
clearOutputPartitionGraphs() - Method in class org.tensorflow.proto.framework.RunOptions.Builder: Whether the partition graph(s) executed by the executor(s) should be outputted via RunMetadata.
clearOutputPort() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput.Builder: int32 output_port = 2;
clearOutputs() - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Optional description of the op outputs
clearOutputs() - Method in class org.tensorflow.proto.framework.SignatureDef.Builder
clearOutputSignature() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder: Output that was the return value of this function after replacing all Tensors with TensorSpecs.
clearOutputSlot() - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: Output slot to watch.
clearOutputSlot() - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Output slot of the tensor (applicable only in the case of the `FULL_TENSOR` trace level).
clearOutputTensorDeviceIds() - Method in class org.tensorflow.proto.util.Execution.Builder: Debugged-generated IDs of the devices on which the output tensors reside.
clearOutputTensorIds() - Method in class org.tensorflow.proto.util.Execution.Builder: IDs of the output tensors (if availbable).
clearOutputTensorIds() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Unique IDs for the output tensors of this op.
clearPaddingId() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder: int32 padding_id = 5;
clearParallelBatch() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder: bool parallel_batch = 15;
clearParallelIterations() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: The number of iterations allowed to run in parallel.
clearParameterMap() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder
clearParameters() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Parameters of this node.
clearPartitionGraphs() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
clearPartitionGraphs() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
clearPeakBytes() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: int64 peak_bytes = 3;
clearPeakBytesInUse() - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder: int64 peak_bytes_in_use = 3;
clearPendingChangelist() - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder: Changelist tested if the change list is not already submitted.
clearPerProcessGpuMemoryFraction() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: Fraction of the available GPU memory to allocate for each process.
clearPersistentMemory() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder: int64 persistent_memory = 4;
clearPersistentMemorySize() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Persistent memory used by this node.
clearPersistentMemorySize() - Method in class org.tensorflow.proto.framework.MemoryStats.Builder: int64 persistent_memory_size = 3;
clearPersistentTensorAllocIds() - Method in class org.tensorflow.proto.framework.MemoryStats.Builder: repeated int64 persistent_tensor_alloc_ids = 5;
clearPhysicalDescription() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder: The physical description of this device.
clearPhysicalDeviceDesc() - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: String representation of the physical device that this device maps to.
clearPinToHostOptimization() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Force small ops onto the CPU (default is OFF).
clearPivotForBodyName() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Name of the pivot_for_body tensor.
clearPivotForPredName() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Name of the pivot_for_pred tensor.
clearPivotName() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Name of the pivot tensor.
clearPivotName() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Name of the pivot tensor.
clearPlaceholder() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: This is a placeholder only used in nodes defined inside a function.
clearPlacementPeriod() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Assignment of Nodes to Devices is recomputed every placement_period steps until the system warms up (at which point the recomputation typically slows down automatically).
clearPlacePrunedGraph() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: Only place the subgraphs that are run, rather than the entire graph.
clearPlanes() - Method in class org.tensorflow.proto.profiler.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
clearPlatformInfo() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Additional platform information.
clearPluginData() - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder: Data that associates a summary with a certain plugin.
clearPluginName() - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData.Builder: The name of the plugin this data pertains to.
clearPollingActiveDelayUsecs() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty.
clearPollingInactiveDelayMsecs() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: This field is deprecated and ignored.
clearPort() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: The port for the dispatcher to bind to.
clearPort() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The port for the worker to bind to.
clearPort() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The server port.
clearPostOptimizationGraph() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef post_optimization_graph = 3;
clearPostOptimizationVerifierConfig() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
clearPrecedingNode() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo.Builder: int32 preceding_node = 1;
clearPrecedingPort() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo.Builder: int32 preceding_port = 2;
clearPredName() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Name of the pred tensor.
clearPreOptimizationGraph() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef pre_optimization_graph = 2;
clearPriority() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder: Priority values to use with the virtual devices.
clearPriority() - Method in class org.tensorflow.proto.framework.KernelDef.Builder: Prioritization of kernel amongst different devices.
clearPriority() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions.Builder: Priority of the request.
clearPrivateThreadpoolSize() - Method in class org.tensorflow.proto.data.ThreadingOptions.Builder: int32 private_threadpool_size = 2;
clearProcessingTime() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: The aggregate processing time spent in this node.
clearProducer() - Method in class org.tensorflow.proto.framework.VersionDef.Builder: The version of the code that produced this data.
clearProfilerOptions() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder: Options for each local profiler.
clearProperties() - Method in class org.tensorflow.proto.framework.NamedDevice.Builder: .tensorflow.DeviceProperties properties = 2;
clearProtocol() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: The protocol for the dispatcher to use when connecting to workers.
clearProtocol() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The protocol for the worker to use when connecting to the dispatcher.
clearProtocol() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The protocol to be used by this server.
clearPtr() - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder: Address of the allocation.
clearPtr() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder: Address of the allocation.
clearPythonTracerLevel() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: Whether enable python function calls tracing.
clearQueueClosedExceptionTypes() - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
clearQueueName() - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: Queue name.
clearRamBudget() - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder: int64 ram_budget = 3;
clearRamBudget() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder: Amount of available memory in bytes.
clearRatio() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Ratio of input to output elements.
clearRecordMetrics() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: An indication whether this node records metrics about produced and consumed elements.
clearRecvBufMaxChunk() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Guidance to formatting of large RecvBuf fields for transfer.
clearReferencedTensor() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
clearRefValue() - Method in class org.tensorflow.proto.profiler.XStat.Builder: A string value that stored in XStatMetadata::name.
clearRegisteredGradients() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
clearRegisteredName() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: The fields below are filled when the user serializes a registered Trackable class.
clearRegisteredOpType() - Method in class org.tensorflow.proto.framework.RegisteredGradient.Builder: The gradient function's registered op type.
clearRelease() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
clearRemapping() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Remapping (default is ON) Remap subgraphs onto more efficient implementations.
clearRenameTo() - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder: Change the name used to access this arg in the API from what is used in the GraphDef.
clearRenameTo() - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder: Change the name used to access this attr in the API from what is used in the GraphDef.
clearReportTensorAllocationsUponOom() - Method in class org.tensorflow.proto.framework.RunOptions.Builder: When enabled, causes tensor allocation information to be included in the error message when the Run() call fails because the allocator ran out of memory (OOM).
clearRepositoryPath() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: Directory to save profile data to.
clearRequestedBytes() - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder: Total number of bytes requested
clearRequestedSize() - Method in class org.tensorflow.proto.util.MemChunk.Builder: int64 requested_size = 3;
clearResetDiskByteUsage() - Method in class org.tensorflow.proto.framework.DebugOptions.Builder: Whether the total disk usage of tfdbg is to be reset to zero in this Session.run call.
clearResource() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedResource resource = 10;
clearResourceArgUniqueId() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
clearResourceDtypesAndShapes() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
clearResourceHandleVal() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_RESOURCE
clearRestoreFunction() - Method in class org.tensorflow.proto.framework.SaveableObject.Builder: int32 restore_function = 3;
clearRestoreOpName() - Method in class org.tensorflow.proto.util.SaverDef.Builder: The operation to run when restoring a model checkpoint.
clearRet() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
clearRewriteOptions() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: Options that control the type and amount of graph rewriting.
clearRpcOptions() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Options that apply when this session uses the distributed runtime.
clearRunConfiguration() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: Run-specific parameters (arguments, etc)
clearRunHandlerPoolOptions() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder: .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
clearRunId() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: Run ID that this snapshot corresponds to.
clearRunMetadata() - Method in class org.tensorflow.proto.util.TaggedRunMetadata.Builder: Byte-encoded version of the `RunMetadata` proto in order to allow lazy deserialization.
clearRunMode() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: Used for differentiating between continuous and debug builds.
clearRunOptions() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Options that will be applied to each run.
clearRunTime() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The amount of time the total run took (wall time in seconds)
clearS() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "string"
clearS() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(string)"
clearS() - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: string s = 3;
clearSampleRate() - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder: Sample rate of the audio in Hz.
clearSaveableObjects() - Method in class org.tensorflow.proto.framework.SavedObject.Builder
clearSavedModelSchemaVersion() - Method in class org.tensorflow.proto.framework.SavedModel.Builder: The schema version of the SavedModel instance.
clearSaveFunction() - Method in class org.tensorflow.proto.framework.SaveableObject.Builder: Node ids of concrete functions for saving and loading from a checkpoint.
clearSaverDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: SaverDef.
clearSaveSliceInfoDef() - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Support for saving variables as slices of a larger variable.
clearSaveTensorName() - Method in class org.tensorflow.proto.util.SaverDef.Builder: The operation to run when saving a model checkpoint.
clearScheduledMicros() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 scheduled_micros = 9;
clearScheduledNanos() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 scheduled_nanos = 17;
clearScomplexVal() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_COMPLEX64.
clearScopedAllocatorOptimization() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
clearScopedAllocatorOpts() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
clearSerialIdentifier() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Unique serial number of the machine.
clearSerializedUserProto() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: The user-generated proto storing metadata for this object, to be passed to the registered classes's _deserialize_from_proto method when this object is loaded from the SavedModel.
clearServiceAddresses() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder: List of servers to profile.
clearSessionCreationTimestampNs() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder: Unix timestamp of when the session was started.
clearSessionInfo() - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Information about the session configs.
clearSessionInfo() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: Deprecated.
clearSessionInterOpThreadPool() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
clearSessionLog() - Method in class org.tensorflow.proto.util.Event.Builder: The state of the session which can be used for restarting after crashes.
clearSessionMetadata() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Metadata about the session.
clearShape() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder: .tensorflow.TensorShapeProto shape = 2;
clearShape() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "shape"
clearShape() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(shape)"
clearShape() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
clearShape() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.TensorShapeProto shape = 3;
clearShape() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder: repeated int64 shape = 3;
clearShape() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder: repeated int64 shape = 2;
clearShape() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder: repeated int64 shape = 2;
clearShape() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder: .tensorflow.TensorShapeProto shape = 2;
clearShape() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder: .tensorflow.TensorShapeProto shape = 2;
clearShape() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder: .tensorflow.TensorShapeProto shape = 2;
clearShape() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: .tensorflow.TensorShapeProto shape = 2;
clearShape() - Method in class org.tensorflow.proto.framework.TensorDescription.Builder: Shape of the tensor.
clearShape() - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
clearShape() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: .tensorflow.TensorShapeProto shape = 2;
clearShape() - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Shape of the tensor
clearShapeOptimization() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Shape optimizations (default is ON) Simplify computations made on shapes.
clearShapesOutputTensorName() - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder: string shapes_output_tensor_name = 4;
clearSharded() - Method in class org.tensorflow.proto.util.SaverDef.Builder: Shard the save files, one per device that has Variable nodes.
clearShardId() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
clearShardingPolicy() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder: .tensorflow.data.ProcessingModeDef.ShardingPolicy sharding_policy = 1;
clearShareClusterDevicesInSession() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: When true, WorkerSessions are created with device attributes from the full cluster.
clearShareClusterDevicesInSession() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: This was promoted to a non-experimental API.
clearSharedMemorySizePerMultiprocessor() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Shared memory size per multiprocessor in bytes.
clearShareSessionStateInClusterspecPropagation() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: In the following, session state means the value of a variable, elements in a hash table, or any other resource, accessible by worker sessions held by a TF server.
clearShuffleAndRepeatFusion() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder: bool shuffle_and_repeat_fusion = 17;
clearShutdownMode() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder: .tensorflow.WorkerShutdownMode shutdown_mode = 1;
clearShutdownQuietPeriodMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: When shutting down a worker, how long to wait for the gRPC server to process the final requests.
clearSigma() - Method in class org.tensorflow.proto.framework.LogNormalDistribution.Builder: double sigma = 2;
clearSigma() - Method in class org.tensorflow.proto.framework.NormalDistribution.Builder: double sigma = 2;
clearSignature() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: The definition of the function's name, arguments, return values, attrs etc.
clearSignatureDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder
clearSimpleValue() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: float simple_value = 2;
clearSize() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder: int64 size = 1;
clearSize() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim.Builder: Size of the tensor in that dimension.
clearSize() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: int64 size = 5;
clearSize() - Method in class org.tensorflow.proto.util.MemChunk.Builder: int64 size = 2;
clearSize() - Method in class org.tensorflow.proto.util.SnapShot.Builder: int64 size = 2;
clearSlack() - Method in class org.tensorflow.proto.data.Options.Builder: bool slack = 4;
clearSlice() - Method in class org.tensorflow.proto.util.SavedSlice.Builder: Extent of the slice.
clearSlice() - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
clearSlices() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
clearSlot() - Method in class org.tensorflow.proto.framework.NodeOutput.Builder: int32 slot = 1;
clearSlotName() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder: The name of the slot (e.g.
clearSlotVariableNodeId() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder: An index into `TrackableObjectGraph.nodes`, indicating the `Object` with the value of the slot variable.
clearSlotVariables() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Slot variables owned by this object.
clearSlotVariables() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
clearSnapShot() - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
clearSnapshot() - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder: Hash of intermediate change between hash/changelist and what was tested.
clearSnapshotName() - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Name of the snapshot tensor.
clearSocOpId() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder: int32 soc_op_id = 4;
clearSourceFile() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: The content of a source file.
clearSourceFiles() - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder: A collection of source code files.
clearStackFrameIds() - Method in class org.tensorflow.proto.util.CodeLocation.Builder: ID to a stack frame, each of which is pointed to by a unique ID.
clearStackFrameWithId() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: A stack frame (filename, line number and column number, function name and code string) with ID.
clearStart() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent.Builder: Start index of the slice, starting at 0.
clearStartTime() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The time the run started (in seconds of UTC time since Unix epoch)
clearStartTimestampNs() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: The local profiler starts profiling at this Unix timestamp in nanoseconds.
clearStateValue() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder: The actual value of the parameter.
clearStatMetadata() - Method in class org.tensorflow.proto.profiler.XPlane.Builder
clearStats() - Method in class org.tensorflow.proto.profiler.XEvent.Builder: XStats associated with the event.
clearStats() - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
clearStats() - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XStats associated with this plane, e.g.
clearStats() - Method in class org.tensorflow.proto.util.MemoryDump.Builder: .tensorflow.MemAllocatorStats stats = 5;
clearStatus() - Method in class org.tensorflow.proto.util.SessionLog.Builder: .tensorflow.SessionLog.SessionStatus status = 1;
clearStep() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Step of training (if available).
clearStep() - Method in class org.tensorflow.proto.util.Event.Builder: Global step of the event.
clearStepId() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder: Process-unique step id.
clearStepId() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder: Process-unique step id.
clearStepId() - Method in class org.tensorflow.proto.framework.MemoryLogStep.Builder: Process-unique step id.
clearStepId() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder: Process-unique step id.
clearStepId() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder: Process-unique step id.
clearStepId() - Method in class org.tensorflow.proto.util.MemChunk.Builder: uint64 step_id = 9;
clearStepStats() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: Statistics traced for this step.
clearStrength() - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder: int32 strength = 3;
clearStringVal() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_STRING
clearStringValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a string of Unicode characters stored in a Python `str`.
clearStringValue() - Method in class org.tensorflow.proto.util.testlog.EntryValue.Builder: string string_value = 2;
clearStrippedDefaultAttrs() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: A flag to denote whether default-valued attrs have been stripped from the nodes in this graph_def.
clearStrippedOpList() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: A copy of the OpDefs used by the producer of this graph_def.
clearStructureVerifier() - Method in class org.tensorflow.proto.framework.VerifierConfig.Builder: Perform structural validation on a tensorflow graph.
clearStrValue() - Method in class org.tensorflow.proto.profiler.XStat.Builder: string str_value = 5;
clearSum() - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: double sum = 4;
clearSummary() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: One-line human-readable description of what the Op does.
clearSummary() - Method in class org.tensorflow.proto.framework.OpDef.Builder: One-line human-readable description of what the Op does.
clearSummary() - Method in class org.tensorflow.proto.util.Event.Builder: A summary was generated.
clearSummaryDescription() - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder: Longform readable description of the summary sequence.
clearSumSquares() - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: double sum_squares = 5;
clearSwapMemory() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Whether GPU-CPU memory swap is enabled for this loop.
clearSynchronization() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: .tensorflow.VariableSynchronization synchronization = 4;
clearSynchronization() - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Indicates when a distributed variable will be synced.
clearSystem() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
clearTag() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: Tag name for the data.
clearTag() - Method in class org.tensorflow.proto.util.TaggedRunMetadata.Builder: Tag name associated with this metadata.
clearTaggedRunMetadata() - Method in class org.tensorflow.proto.util.Event.Builder: The metadata returned by running a session.run() call.
clearTags() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: User supplied tag(s) on the meta_graph and included graph_def.
clearTarget() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Target Nodes.
clearTarget() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The target of the run, e.g.: //tensorflow/core:kernels_adjust_contrast_op_benchmark_test
clearTaskIndex() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The task index of this server in its job.
clearTasks() - Method in class org.tensorflow.proto.distruntime.JobDef.Builder
clearTasks() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder
clearTempMemory() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder: Temp and persistent memory allocated by this node.
clearTempMemorySize() - Method in class org.tensorflow.proto.framework.MemoryStats.Builder: int64 temp_memory_size = 1;
clearTemporaryMemorySize() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Temporary memory used by this node.
clearTemporaryMemorySize() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: Temporary memory used by this node (in bytes).
clearTensor() - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
clearTensor() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "tensor"
clearTensor() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(tensor)"
clearTensor() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder: Allocated tensor details.
clearTensor() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder: Output tensor details.
clearTensor() - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
clearTensor() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.TensorProto tensor = 8;
clearTensor() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
clearTensorConnection() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Tensors to be connected in the callable.
clearTensorContent() - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra.Builder: repeated bytes tensor_content = 1;
clearTensorContent() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
clearTensorDebugMode() - Method in class org.tensorflow.proto.util.Execution.Builder: Type of the tensor value encapsulated in this proto.
clearTensorDebugMode() - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Type of the tensor value encapsulated in this proto.
clearTensorDescription() - Method in class org.tensorflow.proto.framework.NodeOutput.Builder: .tensorflow.TensorDescription tensor_description = 3;
clearTensorDtypeValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents an enum value for dtype.
clearTensorflowGitVersion() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: The __git_version__ string of the tensorflow build used to write this graph.
clearTensorflowVersion() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: The __version__ string of the tensorflow build used to write this graph.
clearTensorflowVersion() - Method in class org.tensorflow.proto.util.DebugMetadata.Builder: Version of TensorFlow.
clearTensorInfo() - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder: The tensor to bind the asset filename to.
clearTensorMetadata() - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
clearTensorProto() - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Tensor value in the type described by `tensor_value_type`.
clearTensorProtos() - Method in class org.tensorflow.proto.util.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
clearTensors() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
clearTensorShape() - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder: .tensorflow.TensorShapeProto tensor_shape = 2;
clearTensorShape() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: The static shape should be recorded here, to the extent that it can be known in advance.
clearTensorShape() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: Shape of the tensor.
clearTensorShapeValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a TensorShape.
clearTensorSizeBytes() - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder: Number of uncompressed bytes used to store the tensor representation.
clearTensorSpecValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a value for tf.TensorSpec.
clearTfdbgContextId() - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Unique ID of the context that the executed op(s) belong to (e.g., a compiled concrete tf.function).
clearTfdbgRunId() - Method in class org.tensorflow.proto.util.DebugMetadata.Builder: A unique ID for the current run of tfdbg.
clearTfVersion() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: TensorFlow version this benchmark runs against.
clearThreadId() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: uint32 thread_id = 10;
clearThreadingOptions() - Method in class org.tensorflow.proto.data.Options.Builder: The threading options associated with the dataset.
clearThreadNames() - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder
clearThroughput() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Throughput (in MB/s)
clearTimelineLabel() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: string timeline_label = 8;
clearTimelineStep() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: If > 0, record a timeline every this many steps.
clearTimeoutInMs() - Method in class org.tensorflow.proto.framework.RunOptions.Builder: Time to wait for operation to complete in milliseconds.
clearTimeoutMs() - Method in class org.tensorflow.proto.util.WatchdogConfig.Builder: int64 timeout_ms = 1;
clearTimestampedAllocator() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: If true then extra work is done by GPUDevice and GPUBFCAllocator to keep track of when GPU memory is freed and when kernels actually complete so that we can know when a nominally free memory chunk is really not subject to pending use.
clearTimestampNs() - Method in class org.tensorflow.proto.profiler.XLine.Builder: Start time of this line in nanoseconds since the UNIX epoch.
clearTolerateDebugOpCreationFailures() - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: Do not error out if debug op creation fails (e.g., due to dtype incompatibility).
clearTotal() - Method in class org.tensorflow.proto.util.testlog.MemoryInfo.Builder: Total virtual memory in bytes
clearTotalBytes() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: These are per-node allocator memory stats.
clearTotalBytesInBin() - Method in class org.tensorflow.proto.util.BinSummary.Builder: int64 total_bytes_in_bin = 3;
clearTotalBytesInUse() - Method in class org.tensorflow.proto.util.BinSummary.Builder: int64 total_bytes_in_use = 2;
clearTotalChunksInBin() - Method in class org.tensorflow.proto.util.BinSummary.Builder: int64 total_chunks_in_bin = 5;
clearTotalChunksInUse() - Method in class org.tensorflow.proto.util.BinSummary.Builder: int64 total_chunks_in_use = 4;
clearToTensor() - Method in class org.tensorflow.proto.framework.TensorConnection.Builder: A tensor name.
clearTraceLevel() - Method in class org.tensorflow.proto.framework.RunOptions.Builder: .tensorflow.RunOptions.TraceLevel trace_level = 1;
clearTraces() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder
clearTrainable() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: bool trainable = 3;
clearTrainable() - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Whether this variable should be trained.
clearTunable() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder: Identifies whether the parameter should participate in autotuning.
clearTupleValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a tuple of `Value`.
clearType() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "type"
clearType() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(type)"
clearType() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Device type (CPU, GPU, ...)
clearType() - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder: string type = 2;
clearType() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: Describes the type of one or more tensors that are accepted/produced by this input/output arg.
clearType() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).
clearType() - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Type of the tensor
clearType() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder: Device type, e.g.
clearTypeAttr() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: if specified, attr must have type "type"
clearTypeHint() - Method in class org.tensorflow.proto.framework.SummaryDescription.Builder: Hint on how plugins should process the data in this series.
clearTypeId() - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: The principal type represented by this object.
clearTypeListAttr() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.
clearTypeName() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder: string type_name = 3;
clearTypeName() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder: Name of the type of objects being serialized.
clearTypeSpec() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder: The serialized TypeSpec for the composite tensor.
clearTypeSpecClass() - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder: .tensorflow.TypeSpecProto.TypeSpecClass type_spec_class = 1;
clearTypeSpecClassName() - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder: The name of the TypeSpec class.
clearTypeSpecProto() - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder: .tensorflow.TypeSpecProto type_spec_proto = 1;
clearTypeSpecValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a value for tf.TypeSpec.
clearTypeState() - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder: The value returned by TypeSpec._serialize().
clearUint32Val() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_UINT32
clearUint64Val() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_UINT64
clearUint64Value() - Method in class org.tensorflow.proto.profiler.XStat.Builder: uint64 uint64_value = 3;
clearUnknownRank() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder: If true, the number of dimensions in the shape is unknown.
clearUseCudaMallocAsync() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: When true, use CUDA cudaMallocAsync API instead of TF gpu allocator.
clearUseNumaAffinity() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: If true, and supported by the platform, the runtime will attempt to use NUMA affinity where applicable.
clearUsePerSessionThreads() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: If true, use a new set of threads for this session rather than the global pool of threads.
clearUsePluginOptimizers() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Optimizers registered by plugin (default is ON)
clearUserObject() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedUserObject user_object = 4;
clearUseRpcForInprocessMaster() - Method in class org.tensorflow.proto.framework.RPCOptions.Builder: If true, always use RPC to contact the session target.
clearUseRunHandlerPool() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder: If true, then operations (using the inter-op pool) across all session::run() calls will be centrally scheduled, optimizing for (median and tail) latency.
clearUseTfrt() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Whether runtime execution uses TFRT.
clearUseUnifiedMemory() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: If true, uses CUDA unified memory for memory allocations.
clearUuid() - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder: Final entry in output of "nvidia-smi -L"
clearValue() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder: Identifies the model value of the parameter.
clearValue() - Method in class org.tensorflow.proto.example.BytesList.Builder: repeated bytes value = 1;
clearValue() - Method in class org.tensorflow.proto.example.FloatList.Builder: repeated float value = 1 [packed = true];
clearValue() - Method in class org.tensorflow.proto.example.Int64List.Builder: repeated int64 value = 1 [packed = true];
clearValue() - Method in class org.tensorflow.proto.framework.AttrValue.Builder
clearValue() - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
clearValue() - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList.Builder: repeated bytes value = 1;
clearValue() - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList.Builder: repeated float value = 1 [packed = true];
clearValue() - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List.Builder: repeated int64 value = 1 [packed = true];
clearValue() - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList.Builder: repeated string value = 1;
clearValue() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder: .tensorflow.TensorProto value = 3;
clearValue() - Method in class org.tensorflow.proto.framework.PairValue.Builder: .tensorflow.StructuredValue value = 2;
clearValue() - Method in class org.tensorflow.proto.framework.Summary.Builder: Set of values for the summary.
clearValue() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder
clearValue() - Method in class org.tensorflow.proto.profiler.XStat.Builder
clearValue() - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder: Metric value
clearValues() - Method in class org.tensorflow.proto.framework.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
clearValues() - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
clearValues() - Method in class org.tensorflow.proto.framework.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
clearValues() - Method in class org.tensorflow.proto.framework.ValuesDef.Builder: Value names that have been seen in this context.
clearValuesDef() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Values and external values in control flow context.
clearValuesDef() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Values and external values in control flow context.
clearValuesOutputTensorName() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder: string values_output_tensor_name = 4;
clearValuesOutputTensorName() - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder: string values_output_tensor_name = 2;
clearValuesTensorName() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder: The shape of the values Tensor is [?].
clearVariable() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedVariable variable = 7;
clearVariableName() - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Name of the variable tensor.
clearVariantVal() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_VARIANT
clearVarLenFeature() - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
clearVarOffset() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder: Offset of this variable into the full variable.
clearVarShape() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder: Shape of this variable.
clearVendor() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Vendor (Intel, nvidia, ...)
clearVerificationTimeoutInMs() - Method in class org.tensorflow.proto.framework.VerifierConfig.Builder: Deadline for completion of all verification i.e.
clearVersion() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: Version of the snapshot data file format.
clearVersion() - Method in class org.tensorflow.proto.framework.GraphDef.Builder: Deprecated.
clearVersion() - Method in class org.tensorflow.proto.framework.OpDeprecation.Builder: First GraphDef version at which the op is disallowed.
clearVersion() - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder: Version information from the producer of this SavedUserObject.
clearVersion() - Method in class org.tensorflow.proto.framework.SessionMetadata.Builder: The version is optional.
clearVersion() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: Some default value of option are not proto3 default value.
clearVersion() - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder: Versioning of the tensor bundle format.
clearVersion() - Method in class org.tensorflow.proto.util.SaverDef.Builder: .tensorflow.SaverDef.CheckpointFormatVersion version = 7;
clearVersion() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
clearVersionNumber() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: Version number.
clearVersions() - Method in class org.tensorflow.proto.framework.GraphDef.Builder: Compatibility versions of the graph.
clearVersions() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder: Compatibility version of this checkpoint.
clearVirtualDevices() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
clearVisibility() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: .tensorflow.ApiDef.Visibility visibility = 2;
clearVisibleDeviceList() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
clearWallTime() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Timestamp in seconds (with microsecond precision).
clearWallTime() - Method in class org.tensorflow.proto.util.Event.Builder: Timestamp of the event.
clearWallTime() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Total wall time used for all iterations (in seconds)
clearWarnings() - Method in class org.tensorflow.proto.profiler.XSpace.Builder: Warnings (if any) in the generation of planes;
clearWatchdogConfig() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder: .tensorflow.WatchdogConfig watchdog_config = 2;
clearWhat() - Method in class org.tensorflow.proto.util.DebugEvent.Builder
clearWhat() - Method in class org.tensorflow.proto.util.Event.Builder
clearWhileCtxt() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder: .tensorflow.WhileContextDef while_ctxt = 2;
clearWidth() - Method in class org.tensorflow.proto.framework.Summary.Image.Builder: int32 width = 2;
clearWorkDir() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: A work directory to use for storing dispatcher state, and for recovering during restarts.
clearWorkerAddress() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The address of the worker server.
clearWorkerAddresses() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: (Optional.) If the job uses auto-sharding, it needs to specify a fixed list of worker addresses that will register with the dispatcher.
clearWorkerLog() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
clearWorkerTags() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: Tags attached to the worker.
clearWorkFinished() - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder: int64 work_finished = 2;
clearWorkStarted() - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder: int64 work_started = 1;
clearXlaFusionAutotunerThresh() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Minimum number of batches run through the XLA graph before XLA fusion autotuner is enabled.
clearXlaGlobalId() - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: A physical device ID for use in XLA DeviceAssignments, unique across clients in a multi-client setup.
CLIENT_TIMEOUT_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
clientTerminated(Boolean) - Static method in class org.tensorflow.op.core.Recv: Sets the clientTerminated option.
clientTerminated - Variable in class org.tensorflow.op.core.Recv.Inputs: If set to true, this indicates that the node was added to the graph as a result of a client-side feed or fetch of Tensor data, in which case the corresponding send or recv is expected to be managed locally by the caller.
clientTerminated(Boolean) - Method in class org.tensorflow.op.core.Recv.Options: Sets the clientTerminated option.
clientTerminated(Boolean) - Static method in class org.tensorflow.op.core.Send: Sets the clientTerminated option.
clientTerminated - Variable in class org.tensorflow.op.core.Send.Inputs: If set to true, this indicates that the node was added to the graph as a result of a client-side feed or fetch of Tensor data, in which case the corresponding send or recv is expected to be managed locally by the caller.
clientTerminated(Boolean) - Method in class org.tensorflow.op.core.Send.Options: Sets the clientTerminated option.
clipBoxes(Boolean) - Static method in class org.tensorflow.op.image.CombinedNonMaxSuppression: Sets the clipBoxes option.
clipBoxes - Variable in class org.tensorflow.op.image.CombinedNonMaxSuppression.Inputs: If true, assume the box coordinates are between [0, 1] and clip the output boxes if they fall beyond [0, 1].
clipBoxes(Boolean) - Method in class org.tensorflow.op.image.CombinedNonMaxSuppression.Options: Sets the clipBoxes option.
ClipByValue<T extends TType> - Class in org.tensorflow.op.core: Clips tensor values to a specified min and max.
ClipByValue(Operation) - Constructor for class org.tensorflow.op.core.ClipByValue
clipByValue(Operand<T>, Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops: Clips tensor values to a specified min and max.
ClipByValue.Inputs<T extends TType> - Class in org.tensorflow.op.core
clipValueMax - Variable in class org.tensorflow.op.core.ClipByValue.Inputs: A 0-D (scalar) Tensor, or a Tensor with the same shape as t.
clipValueMax - Variable in class org.tensorflow.op.math.RequantizationRangePerChannel.Inputs: The maximum value of the output that needs to be clipped.
clipValueMin - Variable in class org.tensorflow.op.core.ClipByValue.Inputs: A 0-D (scalar) Tensor, or a Tensor with the same shape as t.
clone() - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder
clone() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
clone() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
clone() - Method in class org.tensorflow.proto.data.DistributeOptions.Builder
clone() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
clone() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
clone() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder
clone() - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder
clone() - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder
clone() - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder
clone() - Method in class org.tensorflow.proto.data.model.ModelProto.Builder
clone() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder
clone() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder
clone() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder
clone() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
clone() - Method in class org.tensorflow.proto.data.Options.Builder
clone() - Method in class org.tensorflow.proto.data.ThreadingOptions.Builder
clone() - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder
clone() - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder
clone() - Method in class org.tensorflow.proto.distruntime.JobDef.Builder
clone() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder
clone() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder
clone() - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters.Builder
clone() - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra.Builder
clone() - Method in class org.tensorflow.proto.example.BytesList.Builder
clone() - Method in class org.tensorflow.proto.example.Example.Builder
clone() - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder
clone() - Method in class org.tensorflow.proto.example.Feature.Builder
clone() - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder
clone() - Method in class org.tensorflow.proto.example.FeatureList.Builder
clone() - Method in class org.tensorflow.proto.example.FeatureLists.Builder
clone() - Method in class org.tensorflow.proto.example.Features.Builder
clone() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder
clone() - Method in class org.tensorflow.proto.example.FloatList.Builder
clone() - Method in class org.tensorflow.proto.example.Int64List.Builder
clone() - Method in class org.tensorflow.proto.example.SequenceExample.Builder
clone() - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder
clone() - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder
clone() - Method in class org.tensorflow.proto.framework.AllocationRecord.Builder
clone() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder
clone() - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder
clone() - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder
clone() - Method in class org.tensorflow.proto.framework.ApiDef.Builder
clone() - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder
clone() - Method in class org.tensorflow.proto.framework.ApiDefs.Builder
clone() - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder
clone() - Method in class org.tensorflow.proto.framework.AttrValue.Builder
clone() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder
clone() - Method in class org.tensorflow.proto.framework.AutoParallelOptions.Builder
clone() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder
clone() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder
clone() - Method in class org.tensorflow.proto.framework.CapturedTensor.Builder
clone() - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder
clone() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder
clone() - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList.Builder
clone() - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList.Builder
clone() - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List.Builder
clone() - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList.Builder
clone() - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
clone() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder
clone() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder
clone() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder
clone() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder
clone() - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost.Builder
clone() - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder
clone() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder
clone() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo.Builder
clone() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder
clone() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder
clone() - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder
clone() - Method in class org.tensorflow.proto.framework.DebugOptions.Builder
clone() - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder
clone() - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder
clone() - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder
clone() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder
clone() - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder
clone() - Method in class org.tensorflow.proto.framework.DictValue.Builder
clone() - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder
clone() - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder
clone() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
clone() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder
clone() - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder
clone() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder
clone() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder
clone() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder
clone() - Method in class org.tensorflow.proto.framework.GradientDef.Builder
clone() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder
clone() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder
clone() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder
clone() - Method in class org.tensorflow.proto.framework.GraphDef.Builder
clone() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder
clone() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder
clone() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder
clone() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder
clone() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder
clone() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder
clone() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput.Builder
clone() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder
clone() - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder
clone() - Method in class org.tensorflow.proto.framework.HistogramProto.Builder
clone() - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder
clone() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder
clone() - Method in class org.tensorflow.proto.framework.KernelDef.Builder
clone() - Method in class org.tensorflow.proto.framework.KernelList.Builder
clone() - Method in class org.tensorflow.proto.framework.ListValue.Builder
clone() - Method in class org.tensorflow.proto.framework.LocalLinks.Builder
clone() - Method in class org.tensorflow.proto.framework.LogNormalDistribution.Builder
clone() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder
clone() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder
clone() - Method in class org.tensorflow.proto.framework.MemoryLogStep.Builder
clone() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder
clone() - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation.Builder
clone() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder
clone() - Method in class org.tensorflow.proto.framework.MemoryStats.Builder
clone() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder
clone() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder
clone() - Method in class org.tensorflow.proto.framework.NameAttrList.Builder
clone() - Method in class org.tensorflow.proto.framework.NamedDevice.Builder
clone() - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder
clone() - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder
clone() - Method in class org.tensorflow.proto.framework.NodeDef.Builder
clone() - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder
clone() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder
clone() - Method in class org.tensorflow.proto.framework.NodeOutput.Builder
clone() - Method in class org.tensorflow.proto.framework.NoneValue.Builder
clone() - Method in class org.tensorflow.proto.framework.NormalDistribution.Builder
clone() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder
clone() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder
clone() - Method in class org.tensorflow.proto.framework.OpDef.Builder
clone() - Method in class org.tensorflow.proto.framework.OpDeprecation.Builder
clone() - Method in class org.tensorflow.proto.framework.OpInfo.Builder
clone() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder
clone() - Method in class org.tensorflow.proto.framework.OpList.Builder
clone() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder
clone() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder
clone() - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder
clone() - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder
clone() - Method in class org.tensorflow.proto.framework.PairValue.Builder
clone() - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder
clone() - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder
clone() - Method in class org.tensorflow.proto.framework.RegisteredGradient.Builder
clone() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder
clone() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder
clone() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder
clone() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder
clone() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder
clone() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder
clone() - Method in class org.tensorflow.proto.framework.RPCOptions.Builder
clone() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder
clone() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder
clone() - Method in class org.tensorflow.proto.framework.RunOptions.Builder
clone() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder
clone() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions.Builder
clone() - Method in class org.tensorflow.proto.framework.SaveableObject.Builder
clone() - Method in class org.tensorflow.proto.framework.SavedAsset.Builder
clone() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder
clone() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder
clone() - Method in class org.tensorflow.proto.framework.SavedConstant.Builder
clone() - Method in class org.tensorflow.proto.framework.SavedFunction.Builder
clone() - Method in class org.tensorflow.proto.framework.SavedModel.Builder
clone() - Method in class org.tensorflow.proto.framework.SavedObject.Builder
clone() - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder
clone() - Method in class org.tensorflow.proto.framework.SavedResource.Builder
clone() - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder
clone() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder
clone() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder
clone() - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions.Builder
clone() - Method in class org.tensorflow.proto.framework.SessionInfo.Builder
clone() - Method in class org.tensorflow.proto.framework.SessionMetadata.Builder
clone() - Method in class org.tensorflow.proto.framework.SignatureDef.Builder
clone() - Method in class org.tensorflow.proto.framework.Status.DerivedStatus.Builder
clone() - Method in class org.tensorflow.proto.framework.StepStats.Builder
clone() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder
clone() - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder
clone() - Method in class org.tensorflow.proto.framework.Summary.Builder
clone() - Method in class org.tensorflow.proto.framework.Summary.Image.Builder
clone() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder
clone() - Method in class org.tensorflow.proto.framework.SummaryDescription.Builder
clone() - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder
clone() - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData.Builder
clone() - Method in class org.tensorflow.proto.framework.TensorConnection.Builder
clone() - Method in class org.tensorflow.proto.framework.TensorDescription.Builder
clone() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder
clone() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder
clone() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder
clone() - Method in class org.tensorflow.proto.framework.TensorProto.Builder
clone() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder
clone() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim.Builder
clone() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder
clone() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent.Builder
clone() - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder
clone() - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto.Builder
clone() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder
clone() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder
clone() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
clone() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
clone() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
clone() - Method in class org.tensorflow.proto.framework.TupleValue.Builder
clone() - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder
clone() - Method in class org.tensorflow.proto.framework.ValuesDef.Builder
clone() - Method in class org.tensorflow.proto.framework.VariableDef.Builder
clone() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder
clone() - Method in class org.tensorflow.proto.framework.VerifierConfig.Builder
clone() - Method in class org.tensorflow.proto.framework.VersionDef.Builder
clone() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder
clone() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder
clone() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder
clone() - Method in class org.tensorflow.proto.profiler.XEvent.Builder
clone() - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder
clone() - Method in class org.tensorflow.proto.profiler.XLine.Builder
clone() - Method in class org.tensorflow.proto.profiler.XPlane.Builder
clone() - Method in class org.tensorflow.proto.profiler.XSpace.Builder
clone() - Method in class org.tensorflow.proto.profiler.XStat.Builder
clone() - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder
clone() - Method in class org.tensorflow.proto.util.BinSummary.Builder
clone() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder
clone() - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder
clone() - Method in class org.tensorflow.proto.util.CodeLocation.Builder
clone() - Method in class org.tensorflow.proto.util.DebugEvent.Builder
clone() - Method in class org.tensorflow.proto.util.DebuggedDevice.Builder
clone() - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder
clone() - Method in class org.tensorflow.proto.util.DebugMetadata.Builder
clone() - Method in class org.tensorflow.proto.util.Event.Builder
clone() - Method in class org.tensorflow.proto.util.Execution.Builder
clone() - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder
clone() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder
clone() - Method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.
clone() - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder
clone() - Method in class org.tensorflow.proto.util.MemChunk.Builder
clone() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder
clone() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder
clone() - Method in class org.tensorflow.proto.util.MemoryDump.Builder
clone() - Method in class org.tensorflow.proto.util.RequestedExitCode.Builder
clone() - Method in class org.tensorflow.proto.util.SavedSlice.Builder
clone() - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder
clone() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder
clone() - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder
clone() - Method in class org.tensorflow.proto.util.SaverDef.Builder
clone() - Method in class org.tensorflow.proto.util.SessionLog.Builder
clone() - Method in class org.tensorflow.proto.util.SnapShot.Builder
clone() - Method in class org.tensorflow.proto.util.SourceFile.Builder
clone() - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder
clone() - Method in class org.tensorflow.proto.util.TaggedRunMetadata.Builder
clone() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder
clone() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder
clone() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder
clone() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder
clone() - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder
clone() - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder
clone() - Method in class org.tensorflow.proto.util.testlog.EntryValue.Builder
clone() - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder
clone() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder
clone() - Method in class org.tensorflow.proto.util.testlog.MemoryInfo.Builder
clone() - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder
clone() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder
clone() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder
clone() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder
clone() - Method in class org.tensorflow.proto.util.WatchdogConfig.Builder
clone() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder
clone() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder
close() - Method in class org.tensorflow.ConcreteFunction
close() - Method in class org.tensorflow.EagerSession
close() - Method in class org.tensorflow.Graph: Release resources associated with the Graph.
close() - Method in class org.tensorflow.internal.WeakPointerScope
close() - Method in class org.tensorflow.RawTensor
close() - Method in class org.tensorflow.SavedModelBundle: Releases resources (the Graph and Session) associated with the saved model bundle.
close() - Method in class org.tensorflow.Server: Destroy an in-process TensorFlow server, frees memory.
close() - Method in class org.tensorflow.Session: Release resources associated with the Session.
close() - Method in interface org.tensorflow.Tensor: Release resources associated with the Tensor.
close() - Method in interface org.tensorflow.types.family.TType
CLOSE_OP_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.QueueRunnerDef
CloseSummaryWriter - Class in org.tensorflow.op.summary: The CloseSummaryWriter operation
CloseSummaryWriter(Operation) - Constructor for class org.tensorflow.op.summary.CloseSummaryWriter
CloseSummaryWriter.Inputs - Class in org.tensorflow.op.summary
CLUSTER_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto
CLUSTER_DEVICE_FILTERS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.distruntime.ServerDef
CLUSTER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.distruntime.ServerDef
ClusterDef - Class in org.tensorflow.proto.distruntime: Defines a TensorFlow cluster as a set of jobs.
ClusterDef.Builder - Class in org.tensorflow.proto.distruntime: Defines a TensorFlow cluster as a set of jobs.
ClusterDefOrBuilder - Interface in org.tensorflow.proto.distruntime
ClusterDeviceFilters - Class in org.tensorflow.proto.distruntime: Defines the device filters for jobs in a cluster.
ClusterDeviceFilters.Builder - Class in org.tensorflow.proto.distruntime: Defines the device filters for jobs in a cluster.
ClusterDeviceFiltersOrBuilder - Interface in org.tensorflow.proto.distruntime
ClusterOutput<T extends TType> - Class in org.tensorflow.op.xla: Operator that connects the output of an XLA computation to other consumer graph nodes.
ClusterOutput(Operation) - Constructor for class org.tensorflow.op.xla.ClusterOutput
clusterOutput(Operand<T>) - Method in class org.tensorflow.op.XlaOps: Operator that connects the output of an XLA computation to other consumer graph nodes.
ClusterOutput.Inputs<T extends TType> - Class in org.tensorflow.op.xla
ClusterProtos - Class in org.tensorflow.proto.distruntime
co() - Method in class org.tensorflow.op.nn.BlockLSTM: Gets co.
co - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The cell after the tanh over the whole time sequence.
co() - Method in class org.tensorflow.op.nn.LSTMBlockCell: Gets co.
co - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The cell after the tanh.
Code - Enum in org.tensorflow.proto.framework: The canonical error codes for TensorFlow APIs.
CODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
CODE_LOCATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.Execution
CODE_LOCATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.GraphOpCreation
CodeLocation - Class in org.tensorflow.proto.util: Code location information: A stack trace with host-name information.
CodeLocation.Builder - Class in org.tensorflow.proto.util: Code location information: A stack trace with host-name information.
CodeLocationOrBuilder - Interface in org.tensorflow.proto.util
COL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
colInds() - Method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents: Gets colInds.
COLLECTION_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MetaGraphDef
CollectionDef - Class in org.tensorflow.proto.framework: CollectionDef should cover most collections.
CollectionDef.AnyList - Class in org.tensorflow.proto.framework: AnyList is used for collecting Any protos.
CollectionDef.AnyList.Builder - Class in org.tensorflow.proto.framework: AnyList is used for collecting Any protos.
CollectionDef.AnyListOrBuilder - Interface in org.tensorflow.proto.framework
CollectionDef.Builder - Class in org.tensorflow.proto.framework: CollectionDef should cover most collections.
CollectionDef.BytesList - Class in org.tensorflow.proto.framework: BytesList is used for collecting strings and serialized protobufs.
CollectionDef.BytesList.Builder - Class in org.tensorflow.proto.framework: BytesList is used for collecting strings and serialized protobufs.
CollectionDef.BytesListOrBuilder - Interface in org.tensorflow.proto.framework
CollectionDef.FloatList - Class in org.tensorflow.proto.framework: FloatList is used for collecting float values.
CollectionDef.FloatList.Builder - Class in org.tensorflow.proto.framework: FloatList is used for collecting float values.
CollectionDef.FloatListOrBuilder - Interface in org.tensorflow.proto.framework
CollectionDef.Int64List - Class in org.tensorflow.proto.framework: Int64List is used for collecting int, int64 and long values.
CollectionDef.Int64List.Builder - Class in org.tensorflow.proto.framework: Int64List is used for collecting int, int64 and long values.
CollectionDef.Int64ListOrBuilder - Interface in org.tensorflow.proto.framework
CollectionDef.KindCase - Enum in org.tensorflow.proto.framework
CollectionDef.NodeList - Class in org.tensorflow.proto.framework: NodeList is used for collecting nodes in graph.
CollectionDef.NodeList.Builder - Class in org.tensorflow.proto.framework: NodeList is used for collecting nodes in graph.
CollectionDef.NodeListOrBuilder - Interface in org.tensorflow.proto.framework
CollectionDefOrBuilder - Interface in org.tensorflow.proto.framework
COLLECTIVE_DETERMINISTIC_SEQUENTIAL_EXECUTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto.Experimental
COLLECTIVE_GRAPH_KEY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RunOptions.Experimental
COLLECTIVE_GROUP_LEADER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto.Experimental
COLLECTIVE_NCCL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto.Experimental
COLLECTIVE_RING_ORDER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GPUOptions.Experimental
CollectiveAllToAll<T extends TNumber> - Class in org.tensorflow.op.collective: Mutually exchanges multiple tensors of identical type and shape.
CollectiveAllToAll(Operation) - Constructor for class org.tensorflow.op.collective.CollectiveAllToAll
CollectiveAllToAll.Inputs<T extends TNumber> - Class in org.tensorflow.op.collective
CollectiveAllToAll.Options - Class in org.tensorflow.op.collective: Optional attributes for CollectiveAllToAll
CollectiveBcastRecv - Class in org.tensorflow.op.collective: Receives a tensor value broadcast from another device.
CollectiveBcastRecv(Operation) - Constructor for class org.tensorflow.op.collective.CollectiveBcastRecv
CollectiveBcastRecv.Inputs - Class in org.tensorflow.op.collective
CollectiveBcastRecv.Options - Class in org.tensorflow.op.collective: Optional attributes for CollectiveBcastRecv
CollectiveBcastSend<T extends TType> - Class in org.tensorflow.op.collective: Broadcasts a tensor value to one or more other devices.
CollectiveBcastSend(Operation) - Constructor for class org.tensorflow.op.collective.CollectiveBcastSend
CollectiveBcastSend.Inputs<T extends TType> - Class in org.tensorflow.op.collective
CollectiveBcastSend.Options - Class in org.tensorflow.op.collective: Optional attributes for CollectiveBcastSend
CollectiveGather<T extends TNumber> - Class in org.tensorflow.op.collective: Mutually accumulates multiple tensors of identical type and shape.
CollectiveGather(Operation) - Constructor for class org.tensorflow.op.collective.CollectiveGather
CollectiveGather.Inputs<T extends TNumber> - Class in org.tensorflow.op.collective
CollectiveGather.Options - Class in org.tensorflow.op.collective: Optional attributes for CollectiveGather
CollectiveInitializeCommunicator - Class in org.tensorflow.op.collective: Initializes a group for collective operations.
CollectiveInitializeCommunicator(Operation) - Constructor for class org.tensorflow.op.collective.CollectiveInitializeCommunicator
CollectiveInitializeCommunicator.Inputs - Class in org.tensorflow.op.collective
CollectiveInitializeCommunicator.Options - Class in org.tensorflow.op.collective: Optional attributes for CollectiveInitializeCommunicator
CollectivePermute<T extends TType> - Class in org.tensorflow.op.collective: An Op to permute tensors across replicated TPU instances.
CollectivePermute(Operation) - Constructor for class org.tensorflow.op.collective.CollectivePermute
CollectivePermute.Inputs<T extends TType> - Class in org.tensorflow.op.collective
CollectiveReduce<T extends TNumber> - Class in org.tensorflow.op.collective: Mutually reduces multiple tensors of identical type and shape.
CollectiveReduce(Operation) - Constructor for class org.tensorflow.op.collective.CollectiveReduce
CollectiveReduce.Inputs<T extends TNumber> - Class in org.tensorflow.op.collective
CollectiveReduce.Options - Class in org.tensorflow.op.collective: Optional attributes for CollectiveReduce
colors - Variable in class org.tensorflow.op.image.DrawBoundingBoxes.Inputs: 2-D.
COLORSPACE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.Summary.Image
colPoolingSequence() - Method in class org.tensorflow.op.nn.FractionalAvgPool: Gets colPoolingSequence.
colPoolingSequence - Variable in class org.tensorflow.op.nn.FractionalAvgPoolGrad.Inputs: column pooling sequence, form pooling region with row_pooling sequence.
colPoolingSequence() - Method in class org.tensorflow.op.nn.FractionalMaxPool: Gets colPoolingSequence.
colPoolingSequence - Variable in class org.tensorflow.op.nn.FractionalMaxPoolGrad.Inputs: column pooling sequence, form pooling region with row_pooling sequence.
colRemapping - Variable in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Inputs: An int Tensor of column remappings (generally created by generate_vocab_remapping).
CombinedNonMaxSuppression - Class in org.tensorflow.op.image: Greedily selects a subset of bounding boxes in descending order of score, This operation performs non_max_suppression on the inputs per batch, across all classes.
CombinedNonMaxSuppression(Operation) - Constructor for class org.tensorflow.op.image.CombinedNonMaxSuppression
combinedNonMaxSuppression(Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, CombinedNonMaxSuppression.Options...) - Method in class org.tensorflow.op.ImageOps: Greedily selects a subset of bounding boxes in descending order of score, This operation performs non_max_suppression on the inputs per batch, across all classes.
CombinedNonMaxSuppression.Inputs - Class in org.tensorflow.op.image
CombinedNonMaxSuppression.Options - Class in org.tensorflow.op.image: Optional attributes for CombinedNonMaxSuppression
combiners(List<String>) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch: Sets the combiners option.
combiners(String...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch: Sets the combiners option.
combiners - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: A list of string scalars, one for each embedding table that specify how to normalize the embedding activations after weighted summation.
combiners(List<String>) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the combiners option.
combiners(String...) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the combiners option.
combiners(List<String>) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch: Sets the combiners option.
combiners(String...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch: Sets the combiners option.
combiners - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs: A list of string scalars, one for each embedding table that specify how to normalize the embedding activations after weighted summation.
combiners(List<String>) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Options: Sets the combiners option.
combiners(String...) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Options: Sets the combiners option.
combiners(List<String>) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch: Sets the combiners option.
combiners(String...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch: Sets the combiners option.
combiners - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: A list of string scalars, one for each embedding table that specify how to normalize the embedding activations after weighted summation.
combiners(List<String>) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Options: Sets the combiners option.
combiners(String...) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Options: Sets the combiners option.
COMMIT_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.TestResults
CommitId - Class in org.tensorflow.proto.util.testlog: Protobuf type tensorflow.CommitId
CommitId.Builder - Class in org.tensorflow.proto.util.testlog: Protobuf type tensorflow.CommitId
CommitId.KindCase - Enum in org.tensorflow.proto.util.testlog
CommitIdOrBuilder - Interface in org.tensorflow.proto.util.testlog
COMMON_SUBGRAPH_ELIMINATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
communicationHint(String) - Static method in class org.tensorflow.op.collective.CollectiveBcastRecv: Sets the communicationHint option.
communicationHint - Variable in class org.tensorflow.op.collective.CollectiveBcastRecv.Inputs: The communicationHint attribute
communicationHint(String) - Method in class org.tensorflow.op.collective.CollectiveBcastRecv.Options: Sets the communicationHint option.
communicationHint(String) - Static method in class org.tensorflow.op.collective.CollectiveBcastSend: Sets the communicationHint option.
communicationHint - Variable in class org.tensorflow.op.collective.CollectiveBcastSend.Inputs: The communicationHint attribute
communicationHint(String) - Method in class org.tensorflow.op.collective.CollectiveBcastSend.Options: Sets the communicationHint option.
communicationHint(String) - Static method in class org.tensorflow.op.collective.CollectiveGather: Sets the communicationHint option.
communicationHint - Variable in class org.tensorflow.op.collective.CollectiveGather.Inputs: The communicationHint attribute
communicationHint(String) - Method in class org.tensorflow.op.collective.CollectiveGather.Options: Sets the communicationHint option.
communicationHint(String) - Static method in class org.tensorflow.op.collective.CollectiveInitializeCommunicator: Sets the communicationHint option.
communicationHint - Variable in class org.tensorflow.op.collective.CollectiveInitializeCommunicator.Inputs: The communicationHint attribute
communicationHint(String) - Method in class org.tensorflow.op.collective.CollectiveInitializeCommunicator.Options: Sets the communicationHint option.
communicator - Variable in class org.tensorflow.op.collective.CollectiveAllToAll.Inputs: The communicator input
communicator() - Method in class org.tensorflow.op.collective.CollectiveInitializeCommunicator: Gets communicator.
communicator - Variable in class org.tensorflow.op.collective.CollectiveReduce.Inputs: The communicator input
compilationFailureClosesChips(Boolean) - Static method in class org.tensorflow.op.tpu.ConfigureDistributedTPU: Sets the compilationFailureClosesChips option.
compilationFailureClosesChips - Variable in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Inputs: The compilationFailureClosesChips attribute
compilationFailureClosesChips(Boolean) - Method in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Options: Sets the compilationFailureClosesChips option.
CompilationResult - Class in org.tensorflow.op.tpu: Returns the result of a TPU compilation.
CompilationResult(Operation) - Constructor for class org.tensorflow.op.tpu.CompilationResult
CompilationResult.Inputs - Class in org.tensorflow.op.tpu
compilationStatus() - Method in class org.tensorflow.op.tpu.Compile: Gets compilationStatus.
compilationStatus - Variable in class org.tensorflow.op.tpu.CompileSucceededAssert.Inputs: The compilationStatus input
Compile - Class in org.tensorflow.op.tpu: Compiles a computations for execution on one or more TPU devices.
Compile(Operation) - Constructor for class org.tensorflow.op.tpu.Compile
compile(Iterable<Operand<TInt64>>, Iterable<Operand<?>>, Long, ConcreteFunction, String) - Method in class org.tensorflow.op.TpuOps: Compiles a computations for execution on one or more TPU devices.
Compile.Inputs - Class in org.tensorflow.op.tpu
CompileSucceededAssert - Class in org.tensorflow.op.tpu: Asserts that compilation succeeded.
CompileSucceededAssert(Operation) - Constructor for class org.tensorflow.op.tpu.CompileSucceededAssert
compileSucceededAssert(Operand<TString>) - Method in class org.tensorflow.op.TpuOps: Asserts that compilation succeeded.
CompileSucceededAssert.Inputs - Class in org.tensorflow.op.tpu
completeSubgraph(Set<Operand<?>>, Set<Operand<?>>) - Method in class org.tensorflow.Graph: Finds the operations used to produce outputs, assuming inputs are provided.
Complex - Class in org.tensorflow.op.dtypes: Converts two real numbers to a complex number.
Complex(Operation) - Constructor for class org.tensorflow.op.dtypes.Complex
complex(Operand<T>, Operand<T>, Class) - Method in class org.tensorflow.op.DtypesOps: Converts two real numbers to a complex number.
Complex.Inputs<T extends TNumber> - Class in org.tensorflow.op.dtypes
ComplexAbs - Class in org.tensorflow.op.math: Computes the complex absolute value of a tensor.
ComplexAbs(Operation) - Constructor for class org.tensorflow.op.math.ComplexAbs
complexAbs(Operand<? extends TType>) - Method in class org.tensorflow.op.MathOps: Computes the complex absolute value of a tensor.
complexAbs(Operand<? extends TType>, Class) - Method in class org.tensorflow.op.MathOps: Computes the complex absolute value of a tensor.
ComplexAbs.Inputs - Class in org.tensorflow.op.math
componentIndex - Variable in class org.tensorflow.op.core.BarrierInsertMany.Inputs: The component of the barrier elements that is being assigned.
components - Variable in class org.tensorflow.op.core.CompositeTensorVariantFromComponents.Inputs: The component tensors for the extension type value.
components() - Method in class org.tensorflow.op.core.CompositeTensorVariantToComponents: Gets components.
components() - Method in class org.tensorflow.op.core.GetElementAtIndex: Gets components.
components - Variable in class org.tensorflow.op.data.CompressElement.Inputs: The components input
components() - Method in class org.tensorflow.op.data.DatasetToSingleElement: Gets components.
components() - Method in class org.tensorflow.op.data.IteratorGetNext: Gets components.
components() - Method in class org.tensorflow.op.data.IteratorGetNextSync: Gets components.
components() - Method in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard: Gets components.
components - Variable in class org.tensorflow.op.data.OptionalFromValue.Inputs: The components input
components() - Method in class org.tensorflow.op.data.OptionalGetValue: Gets components.
components() - Method in class org.tensorflow.op.data.ReduceDataset: Gets components.
components - Variable in class org.tensorflow.op.data.TensorDataset.Inputs: The components input
components - Variable in class org.tensorflow.op.data.TensorSliceDataset.Inputs: The components input
components() - Method in class org.tensorflow.op.data.UncompressElement: Gets components.
components() - Method in class org.tensorflow.op.io.QueueDequeue: Gets components.
components() - Method in class org.tensorflow.op.io.QueueDequeueMany: Gets components.
components() - Method in class org.tensorflow.op.io.QueueDequeueUpTo: Gets components.
components - Variable in class org.tensorflow.op.io.QueueEnqueue.Inputs: One or more tensors from which the enqueued tensors should be taken.
components - Variable in class org.tensorflow.op.io.QueueEnqueueMany.Inputs: One or more tensors from which the enqueued tensors should be taken.
COMPONENTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
componentTypes - Variable in class org.tensorflow.op.core.Barrier.Inputs: The type of each component in a value.
componentTypes - Variable in class org.tensorflow.op.core.BarrierTakeMany.Inputs: The type of each component in a value.
componentTypes - Variable in class org.tensorflow.op.io.FifoQueue.Inputs: The type of each component in a value.
componentTypes - Variable in class org.tensorflow.op.io.PaddingFifoQueue.Inputs: The type of each component in a value.
componentTypes - Variable in class org.tensorflow.op.io.PriorityQueue.Inputs: The type of each component in a value.
componentTypes - Variable in class org.tensorflow.op.io.QueueDequeue.Inputs: The type of each component in a tuple.
componentTypes - Variable in class org.tensorflow.op.io.QueueDequeueMany.Inputs: The type of each component in a tuple.
componentTypes - Variable in class org.tensorflow.op.io.QueueDequeueUpTo.Inputs: The type of each component in a tuple.
componentTypes - Variable in class org.tensorflow.op.io.RandomShuffleQueue.Inputs: The type of each component in a value.
COMPOSITE_TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorInfo
CompositeTensorVariant - Class in org.tensorflow.proto.framework
CompositeTensorVariant.CompositeTensorVariantMetadata - Class in org.tensorflow.proto.framework: Metadata for CompositeTensorVariant, used when serializing as Variant.
CompositeTensorVariant.CompositeTensorVariantMetadata.Builder - Class in org.tensorflow.proto.framework: Metadata for CompositeTensorVariant, used when serializing as Variant.
CompositeTensorVariant.CompositeTensorVariantMetadataOrBuilder - Interface in org.tensorflow.proto.framework
CompositeTensorVariantFromComponents - Class in org.tensorflow.op.core: Encodes an ExtensionType value into a variant scalar Tensor.
CompositeTensorVariantFromComponents(Operation) - Constructor for class org.tensorflow.op.core.CompositeTensorVariantFromComponents
CompositeTensorVariantFromComponents.Inputs - Class in org.tensorflow.op.core
CompositeTensorVariantToComponents - Class in org.tensorflow.op.core: Decodes a variant scalar Tensor into an ExtensionType value.
CompositeTensorVariantToComponents(Operation) - Constructor for class org.tensorflow.op.core.CompositeTensorVariantToComponents
CompositeTensorVariantToComponents.Inputs - Class in org.tensorflow.op.core
compressed() - Method in class org.tensorflow.op.data.CompressElement: Gets compressed.
compressed - Variable in class org.tensorflow.op.data.UncompressElement.Inputs: The compressed input
CompressElement - Class in org.tensorflow.op.data: Compresses a dataset element.
CompressElement(Operation) - Constructor for class org.tensorflow.op.data.CompressElement
CompressElement.Inputs - Class in org.tensorflow.op.data
compression(String) - Static method in class org.tensorflow.op.data.LoadDataset: Sets the compression option.
compression - Variable in class org.tensorflow.op.data.LoadDataset.Inputs: The compression attribute
compression(String) - Method in class org.tensorflow.op.data.LoadDataset.Options: Sets the compression option.
compression(String) - Static method in class org.tensorflow.op.data.SaveDataset: Sets the compression option.
compression - Variable in class org.tensorflow.op.data.SaveDataset.Inputs: The compression attribute
compression(String) - Method in class org.tensorflow.op.data.SaveDataset.Options: Sets the compression option.
compression(String) - Static method in class org.tensorflow.op.data.SnapshotDataset: Sets the compression option.
compression - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The type of compression to be applied to the saved snapshot files.
compression(String) - Method in class org.tensorflow.op.data.SnapshotDataset.Options: Sets the compression option.
compression(String) - Static method in class org.tensorflow.op.data.SnapshotDatasetReader: Sets the compression option.
compression - Variable in class org.tensorflow.op.data.SnapshotDatasetReader.Inputs: The compression attribute
compression(String) - Method in class org.tensorflow.op.data.SnapshotDatasetReader.Options: Sets the compression option.
compression(Long) - Static method in class org.tensorflow.op.image.EncodePng: Sets the compression option.
compression - Variable in class org.tensorflow.op.image.EncodePng.Inputs: Compression level.
compression(Long) - Method in class org.tensorflow.op.image.EncodePng.Options: Sets the compression option.
COMPRESSION_ALGORITHM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RPCOptions
COMPRESSION_LEVEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RPCOptions
compressionType - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The compressionType input
compressionType - Variable in class org.tensorflow.op.data.DatasetToTfRecord.Inputs: A scalar string tensor containing either (i) the empty string (no compression), (ii) "ZLIB", or (iii) "GZIP".
compressionType - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The compressionType input
compressionType - Variable in class org.tensorflow.op.data.experimental.DatasetToTFRecord.Inputs: A scalar string tensor containing either (i) the empty string (no compression), (ii) "ZLIB", or (iii) "GZIP".
compressionType - Variable in class org.tensorflow.op.data.FixedLengthRecordDataset.Inputs: The compressionType input
compressionType - Variable in class org.tensorflow.op.data.TextLineDataset.Inputs: A scalar containing either (i) the empty string (no compression), (ii) "ZLIB", or (iii) "GZIP".
compressionType - Variable in class org.tensorflow.op.data.TfRecordDataset.Inputs: A scalar containing either (i) the empty string (no compression), (ii) "ZLIB", or (iii) "GZIP".
compressionType(String) - Static method in class org.tensorflow.op.io.DecodeCompressed: Sets the compressionType option.
compressionType - Variable in class org.tensorflow.op.io.DecodeCompressed.Inputs: A scalar containing either (i) the empty string (no compression), (ii) "ZLIB", or (iii) "GZIP".
compressionType(String) - Method in class org.tensorflow.op.io.DecodeCompressed.Options: Sets the compressionType option.
compressionType(String) - Static method in class org.tensorflow.op.io.TfRecordReader: Sets the compressionType option.
compressionType - Variable in class org.tensorflow.op.io.TfRecordReader.Inputs: The compressionType attribute
compressionType(String) - Method in class org.tensorflow.op.io.TfRecordReader.Options: Sets the compressionType option.
compressionType(String) - Static method in class org.tensorflow.op.random.RecordInput: Sets the compressionType option.
compressionType - Variable in class org.tensorflow.op.random.RecordInput.Inputs: The type of compression for the file.
compressionType(String) - Method in class org.tensorflow.op.random.RecordInput.Options: Sets the compressionType option.
computationShape(List<Long>) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the computationShape option.
computationShape(Long...) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the computationShape option.
computationShape - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: DEPRECATED.
computationShape(List<Long>) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the computationShape option.
computationShape(Long...) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the computationShape option.
computationShape(List<Long>) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the computationShape option.
computationShape(Long...) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the computationShape option.
computationShape - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

DEPRECATED.
computationShape(List<Long>) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the computationShape option.
computationShape(Long...) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the computationShape option.
COMPUTE_COST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CostGraphDef.Node
COMPUTE_COST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpPerformance
COMPUTE_EFFICIENCY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpPerformance
Compute_func_Pointer_TF_OpKernelContext - Class in org.tensorflow.internal.c_api
Compute_func_Pointer_TF_OpKernelContext(Pointer) - Constructor for class org.tensorflow.internal.c_api.Compute_func_Pointer_TF_OpKernelContext: Pointer cast constructor.
Compute_func_Pointer_TF_OpKernelContext() - Constructor for class org.tensorflow.internal.c_api.Compute_func_Pointer_TF_OpKernelContext
COMPUTE_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CostGraphDef.Node
COMPUTE_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpPerformance
ComputeAccidentalHits - Class in org.tensorflow.op.nn: Computes the ids of the positions in sampled_candidates that match true_labels.
ComputeAccidentalHits(Operation) - Constructor for class org.tensorflow.op.nn.ComputeAccidentalHits
computeAccidentalHits(Operand<TInt64>, Operand<TInt64>, Long, ComputeAccidentalHits.Options...) - Method in class org.tensorflow.op.NnOps: Computes the ids of the positions in sampled_candidates that match true_labels.
ComputeAccidentalHits.Inputs - Class in org.tensorflow.op.nn
ComputeAccidentalHits.Options - Class in org.tensorflow.op.nn: Optional attributes for ComputeAccidentalHits
ComputeBatchSize - Class in org.tensorflow.op.train: Computes the static batch size of a dataset sans partial batches.
ComputeBatchSize(Operation) - Constructor for class org.tensorflow.op.train.ComputeBatchSize
ComputeBatchSize.Inputs - Class in org.tensorflow.op.train
computeRequiredSize() - Method in class org.tensorflow.internal.types.TStringInitializer: Compute the minimum size for a tensor to hold all the data provided by the source.
computeSize(ByteSequenceProvider<?>) - Static method in class org.tensorflow.internal.buffer.ByteSequenceTensorBuffer: Computes how many bytes are required to store the given data in a string buffer.
computeUv(Boolean) - Static method in class org.tensorflow.op.linalg.BatchSvd: Sets the computeUv option.
computeUv - Variable in class org.tensorflow.op.linalg.BatchSvd.Inputs: The computeUv attribute
computeUv(Boolean) - Method in class org.tensorflow.op.linalg.BatchSvd.Options: Sets the computeUv option.
computeUv(Boolean) - Static method in class org.tensorflow.op.linalg.Svd: Sets the computeUv option.
computeUv - Variable in class org.tensorflow.op.linalg.Svd.Inputs: If true, left and right singular vectors will be computed and returned in `u` and `v`, respectively.
computeUv(Boolean) - Method in class org.tensorflow.op.linalg.Svd.Options: Sets the computeUv option.
computeV(Boolean) - Static method in class org.tensorflow.op.linalg.BatchSelfAdjointEig: Sets the computeV option.
computeV - Variable in class org.tensorflow.op.linalg.BatchSelfAdjointEig.Inputs: The computeV attribute
computeV(Boolean) - Method in class org.tensorflow.op.linalg.BatchSelfAdjointEig.Options: Sets the computeV option.
computeV(Boolean) - Static method in class org.tensorflow.op.linalg.Eig: Sets the computeV option.
computeV - Variable in class org.tensorflow.op.linalg.Eig.Inputs: If `True` then eigenvectors will be computed and returned in `v`.
computeV(Boolean) - Method in class org.tensorflow.op.linalg.Eig.Options: Sets the computeV option.
computeV(Boolean) - Static method in class org.tensorflow.op.linalg.SelfAdjointEig: Sets the computeV option.
computeV - Variable in class org.tensorflow.op.linalg.SelfAdjointEig.Inputs: If `True` then eigenvectors will be computed and returned in `v`.
computeV(Boolean) - Method in class org.tensorflow.op.linalg.SelfAdjointEig.Options: Sets the computeV option.
Concat<T extends TType> - Class in org.tensorflow.op.core: Concatenates tensors along one dimension.
Concat(Operation) - Constructor for class org.tensorflow.op.core.Concat
concat(Iterable<Operand<T>>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.Ops: Concatenates tensors along one dimension.
Concat.Inputs<T extends TType> - Class in org.tensorflow.op.core
concatDim - Variable in class org.tensorflow.op.quantization.QuantizedConcat.Inputs: 0-D.
concatDim - Variable in class org.tensorflow.op.sparse.SparseConcat.Inputs: Dimension to concatenate along.
concatDimension - Variable in class org.tensorflow.op.tpu.AllToAll.Inputs: The dimension number to concatenate.
ConcatenateDataset - Class in org.tensorflow.op.data: Creates a dataset that concatenates input_dataset with another_dataset.
ConcatenateDataset(Operation) - Constructor for class org.tensorflow.op.data.ConcatenateDataset
concatenateDataset(Operand<? extends TType>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, ConcatenateDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that concatenates input_dataset with another_dataset.
ConcatenateDataset.Inputs - Class in org.tensorflow.op.data
ConcatenateDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ConcatenateDataset
ConcatND<T extends TType> - Class in org.tensorflow.op.xla: Concats input tensor across all dimensions.
ConcatND(Operation) - Constructor for class org.tensorflow.op.xla.ConcatND
ConcatND.Inputs<T extends TType> - Class in org.tensorflow.op.xla
ConcatND.Options - Class in org.tensorflow.op.xla: Optional attributes for ConcatND
CONCISE_HEALTH_VALUE - Static variable in enum org.tensorflow.proto.util.TensorDebugMode: A concise health summary for float-type tensors.
CONCRETE_FUNCTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CapturedTensor
CONCRETE_FUNCTION_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedBareConcreteFunction
CONCRETE_FUNCTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedFunction
CONCRETE_FUNCTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedObjectGraph
ConcreteFunction - Class in org.tensorflow: A graph that can be invoked as a single function, with an input and output signature.
cond - Variable in class org.tensorflow.op.core.StatefulIf.Inputs: A Tensor.
cond - Variable in class org.tensorflow.op.core.StatelessIf.Inputs: A Tensor.
cond - Variable in class org.tensorflow.op.xla.If.Inputs: A boolean scalar.
COND_CTXT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ControlFlowContextDef
cond_graph() - Method in class org.tensorflow.internal.c_api.TF_WhileParams
cond_inputs() - Method in class org.tensorflow.internal.c_api.TF_WhileParams
cond_output() - Method in class org.tensorflow.internal.c_api.TF_WhileParams
cond_output(TF_Output) - Method in class org.tensorflow.internal.c_api.TF_WhileParams
CondContextDef - Class in org.tensorflow.proto.framework: Protocol buffer representing a CondContext object.
CondContextDef.Builder - Class in org.tensorflow.proto.framework: Protocol buffer representing a CondContext object.
CondContextDefOrBuilder - Interface in org.tensorflow.proto.framework
condition - Variable in class org.tensorflow.op.core.AssertThat.Inputs: The condition to evaluate.
condition - Variable in class org.tensorflow.op.core.Select.Inputs: The condition input
condition - Variable in class org.tensorflow.op.core.Where.Inputs: The condition input
ConditionalAccumulator - Class in org.tensorflow.op.train: A conditional accumulator for aggregating gradients.
ConditionalAccumulator(Operation) - Constructor for class org.tensorflow.op.train.ConditionalAccumulator
conditionalAccumulator(Class<T>, Shape, ConditionalAccumulator.Options...) - Method in class org.tensorflow.op.TrainOps: A conditional accumulator for aggregating gradients.
ConditionalAccumulator.Inputs - Class in org.tensorflow.op.train
ConditionalAccumulator.Options - Class in org.tensorflow.op.train: Optional attributes for ConditionalAccumulator
config(ConfigProto) - Method in class org.tensorflow.EagerSession.Options: Configures the session based on the data found in the provided configuration.
config(String) - Static method in interface org.tensorflow.op.core.PartitionedCall: Sets the config option.
config(String) - Method in class org.tensorflow.op.core.PartitionedCall.Options: Sets the config option.
config - Variable in class org.tensorflow.op.core.StatefulPartitionedCall.Inputs: The config attribute
config - Variable in class org.tensorflow.op.core.StatelessPartitionedCall.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.ConfigureTPUEmbedding.Inputs: Serialized tensorflow.tpu.TPUEmbeddingConfiguration that describes the embedding lookups of the program.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters: Sets the config option.
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Inputs: The config attribute
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters: Sets the config option.
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Inputs: The config attribute
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters: Sets the config option.
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Inputs: The config attribute
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters: Sets the config option.
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Inputs: The config attribute
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters: Sets the config option.
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs: The config attribute
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters: Sets the config option.
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Inputs: The config attribute
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters: Sets the config option.
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Inputs: The config attribute
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters: Sets the config option.
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs: The config attribute
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters: Sets the config option.
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Inputs: The config attribute
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters: Sets the config option.
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Inputs: The config attribute
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters: Sets the config option.
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Inputs: The config attribute
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters: Sets the config option.
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Inputs: The config attribute
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters: Sets the config option.
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Inputs: The config attribute
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Options: Sets the config option.
config - Variable in class org.tensorflow.op.tpu.RecvTPUEmbeddingActivations.Inputs: Serialized TPUEmbeddingConfiguration proto.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters: Sets the config option.
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters.Inputs: The config attribute
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters: Sets the config option.
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters.Inputs: The config attribute
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters: Sets the config option.
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters.Inputs: The config attribute
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters: Sets the config option.
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters.Inputs: The config attribute
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters: Sets the config option.
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters.Inputs: The config attribute
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters: Sets the config option.
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters.Inputs: The config attribute
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters: Sets the config option.
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters.Inputs: The config attribute
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters: Sets the config option.
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters.Inputs: The config attribute
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters: Sets the config option.
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters.Inputs: The config attribute
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters: Sets the config option.
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters.Inputs: The config attribute
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters: Sets the config option.
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters.Inputs: The config attribute
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters: Sets the config option.
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters.Inputs: The config attribute
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters: Sets the config option.
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Inputs: The config attribute
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options: Sets the config option.
config - Variable in class org.tensorflow.op.tpu.SendTPUEmbeddingGradients.Inputs: Serialized TPUEmbeddingConfiguration proto.
configProto(String) - Static method in interface org.tensorflow.op.core.PartitionedCall: Sets the configProto option.
configProto(String) - Method in class org.tensorflow.op.core.PartitionedCall.Options: Sets the configProto option.
configProto - Variable in class org.tensorflow.op.core.StatefulPartitionedCall.Inputs: The configProto attribute
configProto - Variable in class org.tensorflow.op.core.StatelessPartitionedCall.Inputs: The configProto attribute
ConfigProto - Class in org.tensorflow.proto.framework: Session configuration parameters.
ConfigProto.Builder - Class in org.tensorflow.proto.framework: Session configuration parameters.
ConfigProto.Experimental - Class in org.tensorflow.proto.framework: Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
ConfigProto.Experimental.Builder - Class in org.tensorflow.proto.framework: Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
ConfigProto.Experimental.MlirBridgeRollout - Enum in org.tensorflow.proto.framework: An enum that describes the state of the MLIR bridge rollout.
ConfigProto.ExperimentalOrBuilder - Interface in org.tensorflow.proto.framework
ConfigProtoOrBuilder - Interface in org.tensorflow.proto.framework
ConfigProtos - Class in org.tensorflow.proto.framework
ConfigureDistributedTPU - Class in org.tensorflow.op.tpu: Sets up the centralized structures for a distributed TPU system.
ConfigureDistributedTPU(Operation) - Constructor for class org.tensorflow.op.tpu.ConfigureDistributedTPU
ConfigureDistributedTPU.Inputs - Class in org.tensorflow.op.tpu
ConfigureDistributedTPU.Options - Class in org.tensorflow.op.tpu: Optional attributes for ConfigureDistributedTPU
ConfigureTPUEmbedding - Class in org.tensorflow.op.tpu: Sets up TPUEmbedding in a distributed TPU system.
ConfigureTPUEmbedding(Operation) - Constructor for class org.tensorflow.op.tpu.ConfigureTPUEmbedding
ConfigureTPUEmbedding.Inputs - Class in org.tensorflow.op.tpu
Conj<T extends TType> - Class in org.tensorflow.op.math: Returns the complex conjugate of a complex number.
Conj(Operation) - Constructor for class org.tensorflow.op.math.Conj
conj(Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns the complex conjugate of a complex number.
Conj.Inputs<T extends TType> - Class in org.tensorflow.op.math
conjugate(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose: Sets the conjugate option.
conjugate - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose.Inputs: Indicates whether `input` should be conjugated.
conjugate(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose.Options: Sets the conjugate option.
conjugateOutput(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul: Sets the conjugateOutput option.
conjugateOutput - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs: Conjugates the product of `a` and `b`.
conjugateOutput(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Options: Sets the conjugateOutput option.
ConjugateTranspose<T extends TType> - Class in org.tensorflow.op.linalg: Shuffle dimensions of x according to a permutation and conjugate the result.
ConjugateTranspose(Operation) - Constructor for class org.tensorflow.op.linalg.ConjugateTranspose
conjugateTranspose(Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.LinalgOps: Shuffle dimensions of x according to a permutation and conjugate the result.
ConjugateTranspose.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
CONST_NODE_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferInfo
Constant<T extends TType> - Class in org.tensorflow.op.core: An operator producing a constant value.
constant(int) - Method in class org.tensorflow.op.Ops: Creates a constant containing a single int element.
constant(double[][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-3 constant of double elements.
constant(byte[][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-5 constant of byte elements.
constant(NdArray<String>) - Method in class org.tensorflow.op.Ops: Creates a constant of String elements that is a copy of a given n-dimensional array, using the default UTF-8 encoding.
constant(int[][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-4 constant of int elements.
constant(byte) - Method in class org.tensorflow.op.Ops: Creates a constant containing a single byte element.
constant(long[][]) - Method in class org.tensorflow.op.Ops: Creates a rank-2 constant of long elements.
constant(float[][][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-6 constant of float elements.
constant(boolean[][][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-6 constant of boolean elements.
constant(boolean[][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-4 constant of boolean elements.
constant(float[][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-3 constant of float elements.
constant(float[][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-5 constant of float elements.
constant(long[][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-5 constant of long elements.
constant(int[]) - Method in class org.tensorflow.op.Ops: Creates a rank-1 constant of int elements.
constant(float[][]) - Method in class org.tensorflow.op.Ops: Creates a rank-2 constant of float elements.
constant(boolean[][]) - Method in class org.tensorflow.op.Ops: Creates a rank-2 constant of boolean elements.
constant(double) - Method in class org.tensorflow.op.Ops: Creates a constant containing a single double element.
constant(boolean) - Method in class org.tensorflow.op.Ops: Creates a constant containing a single boolean element.
constant(long) - Method in class org.tensorflow.op.Ops: Creates a constant containing a single long element.
constant(String) - Method in class org.tensorflow.op.Ops: Creates a String constant using the default, UTF-8 encoding.
constant(BooleanNdArray) - Method in class org.tensorflow.op.Ops: Creates a constant of boolean elements that is a copy of a given n-dimensional array.
constant(double[]) - Method in class org.tensorflow.op.Ops: Creates a rank-1 constant of double elements.
constant(LongNdArray) - Method in class org.tensorflow.op.Ops: Creates a constant of long elements that is a copy of a given n-dimensional array.
constant(float[]) - Method in class org.tensorflow.op.Ops: Creates a rank-1 constant of float elements.
constant(long[][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-3 constant of long elements.
constant(boolean[][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-3 constant of boolean elements.
constant(byte[]) - Method in class org.tensorflow.op.Ops: Creates a rank-1 constant of byte elements.
constant(int[][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-3 constant of int elements.
constant(IntNdArray) - Method in class org.tensorflow.op.Ops: Creates a constant of int elements that is a copy of a given n-dimensional array.
constant(long[]) - Method in class org.tensorflow.op.Ops: Creates a rank-1 constant of long elements.
constant(FloatNdArray) - Method in class org.tensorflow.op.Ops: Creates a constant of float elements that is a copy of a given n-dimensional array.
constant(int[][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-5 constant of int elements.
constant(double[][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-5 constant of double elements.
constant(boolean[][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-5 constant of boolean elements.
constant(int[][][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-6 constant of int elements.
constant(DoubleNdArray) - Method in class org.tensorflow.op.Ops: Creates a constant of double elements that is a copy of a given n-dimensional array.
constant(double[][][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-6 constant of double elements.
constant(long[][][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-6 constant of long elements.
constant(int[][]) - Method in class org.tensorflow.op.Ops: Creates a rank-2 constant of int elements.
constant(boolean[]) - Method in class org.tensorflow.op.Ops: Creates a rank-1 constant of boolean elements.
constant(float) - Method in class org.tensorflow.op.Ops: Creates a constant containing a single float element.
constant(byte[][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-4 constant of byte elements.
constant(float[][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-4 constant of float elements.
constant(ByteNdArray) - Method in class org.tensorflow.op.Ops: Creates a constant of byte elements that is a copy of a given n-dimensional array.
constant(byte[][][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-6 constant of byte elements.
constant(long[][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-4 constant of long elements.
constant(byte[][]) - Method in class org.tensorflow.op.Ops: Creates a rank-2 constant of byte elements.
constant(double[][]) - Method in class org.tensorflow.op.Ops: Creates a rank-2 constant of double elements.
constant(byte[][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-3 constant of byte elements.
constant(double[][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-4 constant of double elements.
constant(Shape) - Method in class org.tensorflow.op.Ops: Creates a rank-1 constant of long elements representing the size of each dimensions of the given shape.
constant(Charset, NdArray<String>) - Method in class org.tensorflow.op.Ops: Creates a constant of String elements that is a copy of a given n-dimensional array, using the given encoding.
constant(Charset, String[]) - Method in class org.tensorflow.op.Ops: Creates a constant of String elements, using the given charset.
constant(Charset, String) - Method in class org.tensorflow.op.Ops: Creates a String constant using a specified encoding.
constant(Shape, BooleanDataBuffer) - Method in class org.tensorflow.op.Ops: Create a TBool constant with data from the given buffer.
constant(Shape, DataBuffer<String>) - Method in class org.tensorflow.op.Ops: Create a TString constant with data from the given buffer, using the default UTF-8 encoding.
constant(Shape, ByteDataBuffer) - Method in class org.tensorflow.op.Ops: Create a TUint8 constant with data from the given buffer.
constant(Shape, IntDataBuffer) - Method in class org.tensorflow.op.Ops: Create a TInt32 constant with data from the given buffer.
constant(Shape, LongDataBuffer) - Method in class org.tensorflow.op.Ops: Create a TInt64 constant with data from the given buffer.
constant(Shape, DoubleDataBuffer) - Method in class org.tensorflow.op.Ops: Create a TFloat64 constant with data from the given buffer.
constant(Shape, FloatDataBuffer) - Method in class org.tensorflow.op.Ops: Create a TFloat32 constant with data from the given buffer.
constant(Class<T>, Number) - Method in class org.tensorflow.op.Ops: Creates a scalar of type, with the value of number.
constant(Charset, Shape, DataBuffer<String>) - Method in class org.tensorflow.op.Ops: Create a TString constant with data from the given buffer, using the given encoding.
constant(Class<T>, Shape, ByteDataBuffer) - Method in class org.tensorflow.op.Ops: Create a constant with data from the given buffer.
CONSTANT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedObject
CONSTANT_FOLDING_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
constantOf(T) - Method in class org.tensorflow.op.Ops: Create a constant by making an immutable copy of tensor.
constantOfSameType(Operand<T>, Number) - Method in class org.tensorflow.op.Ops: Creates a scalar of the same type as toMatch, with the value of number.
constants - Variable in class org.tensorflow.op.xla.XlaLaunch.Inputs: The constants input
constantValues - Variable in class org.tensorflow.op.core.Pad.Inputs: The constantValues input
constantValues - Variable in class org.tensorflow.op.risc.RiscPad.Inputs: The constantValues input
CONSTRAINT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.KernelDef
ConsumeMutexLock - Class in org.tensorflow.op.core: This op consumes a lock created by MutexLock.
ConsumeMutexLock(Operation) - Constructor for class org.tensorflow.op.core.ConsumeMutexLock
consumeMutexLock(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: This op consumes a lock created by MutexLock.
ConsumeMutexLock.Inputs - Class in org.tensorflow.op.core
consumerIndex - Variable in class org.tensorflow.op.data.DataServiceDatasetV2.Inputs: The consumerIndex input
consumers(int) - Method in class org.tensorflow.GraphOperation: Get the ops that use this op's designated output as an input, not including control dependencies.
consumers() - Method in class org.tensorflow.GraphOperation: Get the ops that use any of this op's outputs as an input, not including control dependencies.
container(String) - Static method in class org.tensorflow.op.core.Barrier: Sets the container option.
container - Variable in class org.tensorflow.op.core.Barrier.Inputs: If non-empty, this barrier is placed in the given container.
container(String) - Method in class org.tensorflow.op.core.Barrier.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.Batch: Sets the container option.
container - Variable in class org.tensorflow.op.core.Batch.Inputs: The container attribute
container(String) - Method in class org.tensorflow.op.core.Batch.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the container option.
container - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: Controls the scope of sharing of this batch.
container(String) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.HashTable: Sets the container option.
container - Variable in class org.tensorflow.op.core.HashTable.Inputs: If non-empty, this table is placed in the given container.
container(String) - Method in class org.tensorflow.op.core.HashTable.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MapClear: Sets the container option.
container - Variable in class org.tensorflow.op.core.MapClear.Inputs: The container attribute
container(String) - Method in class org.tensorflow.op.core.MapClear.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MapIncompleteSize: Sets the container option.
container - Variable in class org.tensorflow.op.core.MapIncompleteSize.Inputs: The container attribute
container(String) - Method in class org.tensorflow.op.core.MapIncompleteSize.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MapPeek: Sets the container option.
container - Variable in class org.tensorflow.op.core.MapPeek.Inputs: The container attribute
container(String) - Method in class org.tensorflow.op.core.MapPeek.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MapSize: Sets the container option.
container - Variable in class org.tensorflow.op.core.MapSize.Inputs: The container attribute
container(String) - Method in class org.tensorflow.op.core.MapSize.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MapStage: Sets the container option.
container - Variable in class org.tensorflow.op.core.MapStage.Inputs: If non-empty, this queue is placed in the given container.
container(String) - Method in class org.tensorflow.op.core.MapStage.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MapUnstage: Sets the container option.
container - Variable in class org.tensorflow.op.core.MapUnstage.Inputs: The container attribute
container(String) - Method in class org.tensorflow.op.core.MapUnstage.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MapUnstageNoKey: Sets the container option.
container - Variable in class org.tensorflow.op.core.MapUnstageNoKey.Inputs: The container attribute
container(String) - Method in class org.tensorflow.op.core.MapUnstageNoKey.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MutableDenseHashTable: Sets the container option.
container - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: If non-empty, this table is placed in the given container.
container(String) - Method in class org.tensorflow.op.core.MutableDenseHashTable.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MutableHashTable: Sets the container option.
container - Variable in class org.tensorflow.op.core.MutableHashTable.Inputs: If non-empty, this table is placed in the given container.
container(String) - Method in class org.tensorflow.op.core.MutableHashTable.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MutableHashTableOfTensors: Sets the container option.
container - Variable in class org.tensorflow.op.core.MutableHashTableOfTensors.Inputs: If non-empty, this table is placed in the given container.
container(String) - Method in class org.tensorflow.op.core.MutableHashTableOfTensors.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.Mutex: Sets the container option.
container - Variable in class org.tensorflow.op.core.Mutex.Inputs: If non-empty, this variable is placed in the given container.
container(String) - Method in class org.tensorflow.op.core.Mutex.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.OrderedMapClear: Sets the container option.
container - Variable in class org.tensorflow.op.core.OrderedMapClear.Inputs: The container attribute
container(String) - Method in class org.tensorflow.op.core.OrderedMapClear.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.OrderedMapIncompleteSize: Sets the container option.
container - Variable in class org.tensorflow.op.core.OrderedMapIncompleteSize.Inputs: The container attribute
container(String) - Method in class org.tensorflow.op.core.OrderedMapIncompleteSize.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.OrderedMapPeek: Sets the container option.
container - Variable in class org.tensorflow.op.core.OrderedMapPeek.Inputs: The container attribute
container(String) - Method in class org.tensorflow.op.core.OrderedMapPeek.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.OrderedMapSize: Sets the container option.
container - Variable in class org.tensorflow.op.core.OrderedMapSize.Inputs: The container attribute
container(String) - Method in class org.tensorflow.op.core.OrderedMapSize.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.OrderedMapStage: Sets the container option.
container - Variable in class org.tensorflow.op.core.OrderedMapStage.Inputs: If non-empty, this queue is placed in the given container.
container(String) - Method in class org.tensorflow.op.core.OrderedMapStage.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.OrderedMapUnstage: Sets the container option.
container - Variable in class org.tensorflow.op.core.OrderedMapUnstage.Inputs: The container attribute
container(String) - Method in class org.tensorflow.op.core.OrderedMapUnstage.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.OrderedMapUnstageNoKey: Sets the container option.
container - Variable in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Inputs: The container attribute
container(String) - Method in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.Stage: Sets the container option.
container - Variable in class org.tensorflow.op.core.Stage.Inputs: If non-empty, this queue is placed in the given container.
container(String) - Method in class org.tensorflow.op.core.Stage.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.StageClear: Sets the container option.
container - Variable in class org.tensorflow.op.core.StageClear.Inputs: The container attribute
container(String) - Method in class org.tensorflow.op.core.StageClear.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.StagePeek: Sets the container option.
container - Variable in class org.tensorflow.op.core.StagePeek.Inputs: The container attribute
container(String) - Method in class org.tensorflow.op.core.StagePeek.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.StageSize: Sets the container option.
container - Variable in class org.tensorflow.op.core.StageSize.Inputs: The container attribute
container(String) - Method in class org.tensorflow.op.core.StageSize.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.Unbatch: Sets the container option.
container - Variable in class org.tensorflow.op.core.Unbatch.Inputs: The container attribute
container(String) - Method in class org.tensorflow.op.core.Unbatch.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.UnbatchGrad: Sets the container option.
container - Variable in class org.tensorflow.op.core.UnbatchGrad.Inputs: The container attribute
container(String) - Method in class org.tensorflow.op.core.UnbatchGrad.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.Unstage: Sets the container option.
container - Variable in class org.tensorflow.op.core.Unstage.Inputs: The container attribute
container(String) - Method in class org.tensorflow.op.core.Unstage.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.VarHandleOp: Sets the container option.
container - Variable in class org.tensorflow.op.core.VarHandleOp.Inputs: the container this variable is placed in.
container(String) - Method in class org.tensorflow.op.core.VarHandleOp.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.Variable: Sets the container option.
container - Variable in class org.tensorflow.op.core.Variable.Inputs: If non-empty, this variable is placed in the given container.
container(String) - Method in class org.tensorflow.op.core.Variable.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.data.experimental.StatsAggregatorHandle: Sets the container option.
container - Variable in class org.tensorflow.op.data.experimental.StatsAggregatorHandle.Inputs: The container attribute
container(String) - Method in class org.tensorflow.op.data.experimental.StatsAggregatorHandle.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.data.experimental.ThreadPoolHandle: Sets the container option.
container - Variable in class org.tensorflow.op.data.experimental.ThreadPoolHandle.Inputs: The container attribute
container(String) - Method in class org.tensorflow.op.data.experimental.ThreadPoolHandle.Options: Sets the container option.
container - Variable in class org.tensorflow.op.data.Iterator.Inputs: The container attribute
container - Variable in class org.tensorflow.op.data.MultiDeviceIterator.Inputs: If non-empty, this resource is placed in the given container.
container(String) - Static method in class org.tensorflow.op.data.OneShotIterator: Sets the container option.
container - Variable in class org.tensorflow.op.data.OneShotIterator.Inputs: The container attribute
container(String) - Method in class org.tensorflow.op.data.OneShotIterator.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.data.StatsAggregatorHandle: Sets the container option.
container - Variable in class org.tensorflow.op.data.StatsAggregatorHandle.Inputs: The container attribute
container(String) - Method in class org.tensorflow.op.data.StatsAggregatorHandle.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.data.ThreadPoolHandle: Sets the container option.
container - Variable in class org.tensorflow.op.data.ThreadPoolHandle.Inputs: The container attribute
container(String) - Method in class org.tensorflow.op.data.ThreadPoolHandle.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.estimator.BoostedTreesEnsembleResourceHandleOp: Sets the container option.
container - Variable in class org.tensorflow.op.estimator.BoostedTreesEnsembleResourceHandleOp.Inputs: The container attribute
container(String) - Method in class org.tensorflow.op.estimator.BoostedTreesEnsembleResourceHandleOp.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceHandleOp: Sets the container option.
container - Variable in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceHandleOp.Inputs: The container attribute
container(String) - Method in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceHandleOp.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.FifoQueue: Sets the container option.
container - Variable in class org.tensorflow.op.io.FifoQueue.Inputs: If non-empty, this queue is placed in the given container.
container(String) - Method in class org.tensorflow.op.io.FifoQueue.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader: Sets the container option.
container - Variable in class org.tensorflow.op.io.FixedLengthRecordReader.Inputs: If non-empty, this reader is placed in the given container.
container(String) - Method in class org.tensorflow.op.io.FixedLengthRecordReader.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.IdentityReader: Sets the container option.
container - Variable in class org.tensorflow.op.io.IdentityReader.Inputs: If non-empty, this reader is placed in the given container.
container(String) - Method in class org.tensorflow.op.io.IdentityReader.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.LmdbReader: Sets the container option.
container - Variable in class org.tensorflow.op.io.LmdbReader.Inputs: If non-empty, this reader is placed in the given container.
container(String) - Method in class org.tensorflow.op.io.LmdbReader.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.PaddingFifoQueue: Sets the container option.
container - Variable in class org.tensorflow.op.io.PaddingFifoQueue.Inputs: If non-empty, this queue is placed in the given container.
container(String) - Method in class org.tensorflow.op.io.PaddingFifoQueue.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.PriorityQueue: Sets the container option.
container - Variable in class org.tensorflow.op.io.PriorityQueue.Inputs: If non-empty, this queue is placed in the given container.
container(String) - Method in class org.tensorflow.op.io.PriorityQueue.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.RandomShuffleQueue: Sets the container option.
container - Variable in class org.tensorflow.op.io.RandomShuffleQueue.Inputs: If non-empty, this queue is placed in the given container.
container(String) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.TextLineReader: Sets the container option.
container - Variable in class org.tensorflow.op.io.TextLineReader.Inputs: If non-empty, this reader is placed in the given container.
container(String) - Method in class org.tensorflow.op.io.TextLineReader.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.TfRecordReader: Sets the container option.
container - Variable in class org.tensorflow.op.io.TfRecordReader.Inputs: If non-empty, this reader is placed in the given container.
container(String) - Method in class org.tensorflow.op.io.TfRecordReader.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.WholeFileReader: Sets the container option.
container - Variable in class org.tensorflow.op.io.WholeFileReader.Inputs: If non-empty, this reader is placed in the given container.
container(String) - Method in class org.tensorflow.op.io.WholeFileReader.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.sparse.AddManySparseToTensorsMap: Sets the container option.
container - Variable in class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Inputs: The container name for the `SparseTensorsMap` created by this op.
container(String) - Method in class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.sparse.AddSparseToTensorsMap: Sets the container option.
container - Variable in class org.tensorflow.op.sparse.AddSparseToTensorsMap.Inputs: The container name for the `SparseTensorsMap` created by this op.
container(String) - Method in class org.tensorflow.op.sparse.AddSparseToTensorsMap.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.sparse.SparseConditionalAccumulator: Sets the container option.
container - Variable in class org.tensorflow.op.sparse.SparseConditionalAccumulator.Inputs: If non-empty, this accumulator is placed in the given container.
container(String) - Method in class org.tensorflow.op.sparse.SparseConditionalAccumulator.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap: Sets the container option.
container - Variable in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap.Inputs: The container name for the `SparseTensorsMap` read by this op.
container(String) - Method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.summary.SummaryWriter: Sets the container option.
container - Variable in class org.tensorflow.op.summary.SummaryWriter.Inputs: The container attribute
container(String) - Method in class org.tensorflow.op.summary.SummaryWriter.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.train.ConditionalAccumulator: Sets the container option.
container - Variable in class org.tensorflow.op.train.ConditionalAccumulator.Inputs: If non-empty, this accumulator is placed in the given container.
container(String) - Method in class org.tensorflow.op.train.ConditionalAccumulator.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.train.ResourceConditionalAccumulator: Sets the container option.
container - Variable in class org.tensorflow.op.train.ResourceConditionalAccumulator.Inputs: If non-empty, this accumulator is placed in the given container.
container(String) - Method in class org.tensorflow.op.train.ResourceConditionalAccumulator.Options: Sets the container option.
CONTAINER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ResourceHandleProto
containsArgAttr(int) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
containsArgAttr(int) - Method in class org.tensorflow.proto.framework.FunctionDef: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
containsArgAttr(int) - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
containsAttr(String) - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder: map<string, .tensorflow.AttrValue> attr = 1;
containsAttr(String) - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs: map<string, .tensorflow.AttrValue> attr = 1;
containsAttr(String) - Method in interface org.tensorflow.proto.framework.FunctionDef.ArgAttrsOrBuilder: map<string, .tensorflow.AttrValue> attr = 1;
containsAttr(String) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: Attributes specific to this function definition.
containsAttr(String) - Method in class org.tensorflow.proto.framework.FunctionDef: Attributes specific to this function definition.
containsAttr(String) - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: Attributes specific to this function definition.
containsAttr(String) - Method in class org.tensorflow.proto.framework.NameAttrList.Builder: map<string, .tensorflow.AttrValue> attr = 2;
containsAttr(String) - Method in class org.tensorflow.proto.framework.NameAttrList: map<string, .tensorflow.AttrValue> attr = 2;
containsAttr(String) - Method in interface org.tensorflow.proto.framework.NameAttrListOrBuilder: map<string, .tensorflow.AttrValue> attr = 2;
containsAttr(String) - Method in class org.tensorflow.proto.framework.NodeDef.Builder: Operation-specific graph-construction-time configuration.
containsAttr(String) - Method in class org.tensorflow.proto.framework.NodeDef: Operation-specific graph-construction-time configuration.
containsAttr(String) - Method in interface org.tensorflow.proto.framework.NodeDefOrBuilder: Operation-specific graph-construction-time configuration.
containsAttr(String) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Custom parameters impacting the behavior of the op.
containsAttr(String) - Method in class org.tensorflow.proto.framework.OpInfo: Custom parameters impacting the behavior of the op.
containsAttr(String) - Method in interface org.tensorflow.proto.framework.OpInfoOrBuilder: Custom parameters impacting the behavior of the op.
containsCacheSize(String) - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder: Cache sizes (in bytes), e.g.
containsCacheSize(String) - Method in class org.tensorflow.proto.util.testlog.CPUInfo: Cache sizes (in bytes), e.g.
containsCacheSize(String) - Method in interface org.tensorflow.proto.util.testlog.CPUInfoOrBuilder: Cache sizes (in bytes), e.g.
containsCollectionDef(String) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: collection_def: Map from collection name to collections.
containsCollectionDef(String) - Method in class org.tensorflow.proto.framework.MetaGraphDef: collection_def: Map from collection name to collections.
containsCollectionDef(String) - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: collection_def: Map from collection name to collections.
containsConcreteFunctions(String) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder: Information about captures and output structures in concrete functions.
containsConcreteFunctions(String) - Method in class org.tensorflow.proto.framework.SavedObjectGraph: Information about captures and output structures in concrete functions.
containsConcreteFunctions(String) - Method in interface org.tensorflow.proto.framework.SavedObjectGraphOrBuilder: Information about captures and output structures in concrete functions.
containsControlRet(String) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
containsControlRet(String) - Method in class org.tensorflow.proto.framework.FunctionDef: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
containsControlRet(String) - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
containsDeviceCount(String) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
containsDeviceCount(String) - Method in class org.tensorflow.proto.framework.ConfigProto: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
containsDeviceCount(String) - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
containsEnvironment(String) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Version of the tools and libraries used with this device (e.g.
containsEnvironment(String) - Method in class org.tensorflow.proto.framework.DeviceProperties: Version of the tools and libraries used with this device (e.g.
containsEnvironment(String) - Method in interface org.tensorflow.proto.framework.DevicePropertiesOrBuilder: Version of the tools and libraries used with this device (e.g.
containsEnvVars(String) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder: Environment variables used to run the test/benchmark.
containsEnvVars(String) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration: Environment variables used to run the test/benchmark.
containsEnvVars(String) - Method in interface org.tensorflow.proto.util.testlog.RunConfigurationOrBuilder: Environment variables used to run the test/benchmark.
containsEventMetadata(long) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XEventMetadata map, each entry uses the XEventMetadata.id as key.
containsEventMetadata(long) - Method in class org.tensorflow.proto.profiler.XPlane: XEventMetadata map, each entry uses the XEventMetadata.id as key.
containsEventMetadata(long) - Method in interface org.tensorflow.proto.profiler.XPlaneOrBuilder: XEventMetadata map, each entry uses the XEventMetadata.id as key.
containsExternalValues(String) - Method in class org.tensorflow.proto.framework.ValuesDef.Builder: Value names referenced by but external to this context.
containsExternalValues(String) - Method in class org.tensorflow.proto.framework.ValuesDef: Value names referenced by but external to this context.
containsExternalValues(String) - Method in interface org.tensorflow.proto.framework.ValuesDefOrBuilder: Value names referenced by but external to this context.
containsExtras(String) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Generic map from result key to value.
containsExtras(String) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry: Generic map from result key to value.
containsExtras(String) - Method in interface org.tensorflow.proto.util.testlog.BenchmarkEntryOrBuilder: Generic map from result key to value.
containsFeature(String) - Method in class org.tensorflow.proto.example.Features.Builder: Map from feature name to feature.
containsFeature(String) - Method in class org.tensorflow.proto.example.Features: Map from feature name to feature.
containsFeature(String) - Method in interface org.tensorflow.proto.example.FeaturesOrBuilder: Map from feature name to feature.
containsFeatureList(String) - Method in class org.tensorflow.proto.example.FeatureLists.Builder: Map from feature name to feature list.
containsFeatureList(String) - Method in class org.tensorflow.proto.example.FeatureLists: Map from feature name to feature list.
containsFeatureList(String) - Method in interface org.tensorflow.proto.example.FeatureListsOrBuilder: Map from feature name to feature list.
containsFeatureMap(String) - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
containsFeatureMap(String) - Method in class org.tensorflow.proto.example.ExampleParserConfiguration: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
containsFeatureMap(String) - Method in interface org.tensorflow.proto.example.ExampleParserConfigurationOrBuilder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
containsFeedDevices(String) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
containsFeedDevices(String) - Method in class org.tensorflow.proto.framework.CallableOptions: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
containsFeedDevices(String) - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
containsFetchDevices(String) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: map<string, string> fetch_devices = 7;
containsFetchDevices(String) - Method in class org.tensorflow.proto.framework.CallableOptions: map<string, string> fetch_devices = 7;
containsFetchDevices(String) - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: map<string, string> fetch_devices = 7;
containsFields(String) - Method in class org.tensorflow.proto.framework.DictValue.Builder: map<string, .tensorflow.StructuredValue> fields = 1;
containsFields(String) - Method in class org.tensorflow.proto.framework.DictValue: map<string, .tensorflow.StructuredValue> fields = 1;
containsFields(String) - Method in interface org.tensorflow.proto.framework.DictValueOrBuilder: map<string, .tensorflow.StructuredValue> fields = 1;
containsFunctionAliases(String) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: FunctionDef name to aliases mapping.
containsFunctionAliases(String) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef: FunctionDef name to aliases mapping.
containsFunctionAliases(String) - Method in interface org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDefOrBuilder: FunctionDef name to aliases mapping.
containsInputs(String) - Method in class org.tensorflow.proto.framework.SignatureDef.Builder: Named input parameters.
containsInputs(String) - Method in class org.tensorflow.proto.framework.SignatureDef: Named input parameters.
containsInputs(String) - Method in interface org.tensorflow.proto.framework.SignatureDefOrBuilder: Named input parameters.
containsNodes(long) - Method in class org.tensorflow.proto.data.model.ModelProto.Builder: Map of node IDs to nodes of this model.
containsNodes(long) - Method in class org.tensorflow.proto.data.model.ModelProto: Map of node IDs to nodes of this model.
containsNodes(long) - Method in interface org.tensorflow.proto.data.model.ModelProtoOrBuilder: Map of node IDs to nodes of this model.
containsOutputs(String) - Method in class org.tensorflow.proto.framework.SignatureDef.Builder: Named output parameters.
containsOutputs(String) - Method in class org.tensorflow.proto.framework.SignatureDef: Named output parameters.
containsOutputs(String) - Method in interface org.tensorflow.proto.framework.SignatureDefOrBuilder: Named output parameters.
containsParameterMap(String) - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder: map<string, .tensorflow.AttrValue> parameter_map = 2;
containsParameterMap(String) - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer: map<string, .tensorflow.AttrValue> parameter_map = 2;
containsParameterMap(String) - Method in interface org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizerOrBuilder: map<string, .tensorflow.AttrValue> parameter_map = 2;
containsResourceArgUniqueId(int) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: Unique IDs for each resource argument, used to track aliasing resources.
containsResourceArgUniqueId(int) - Method in class org.tensorflow.proto.framework.FunctionDef: Unique IDs for each resource argument, used to track aliasing resources.
containsResourceArgUniqueId(int) - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: Unique IDs for each resource argument, used to track aliasing resources.
containsRet(String) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
containsRet(String) - Method in class org.tensorflow.proto.framework.FunctionDef: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
containsRet(String) - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
containsSaveableObjects(String) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: map<string, .tensorflow.SaveableObject> saveable_objects = 11;
containsSaveableObjects(String) - Method in class org.tensorflow.proto.framework.SavedObject: map<string, .tensorflow.SaveableObject> saveable_objects = 11;
containsSaveableObjects(String) - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: map<string, .tensorflow.SaveableObject> saveable_objects = 11;
containsSignatureDef(String) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
containsSignatureDef(String) - Method in class org.tensorflow.proto.framework.MetaGraphDef: signature_def: Map from user supplied key for a signature to a single SignatureDef.
containsSignatureDef(String) - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
containsStatMetadata(long) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XStatMetadata map, each entry uses the XStatMetadata.id as key.
containsStatMetadata(long) - Method in class org.tensorflow.proto.profiler.XPlane: XStatMetadata map, each entry uses the XStatMetadata.id as key.
containsStatMetadata(long) - Method in interface org.tensorflow.proto.profiler.XPlaneOrBuilder: XStatMetadata map, each entry uses the XStatMetadata.id as key.
containsTasks(int) - Method in class org.tensorflow.proto.distruntime.JobDef.Builder: Mapping from task ID to "hostname:port" string.
containsTasks(int) - Method in class org.tensorflow.proto.distruntime.JobDef: Mapping from task ID to "hostname:port" string.
containsTasks(int) - Method in interface org.tensorflow.proto.distruntime.JobDefOrBuilder: Mapping from task ID to "hostname:port" string.
containsTasks(int) - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder: Mapping from task ID to task device filters.
containsTasks(int) - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters: Mapping from task ID to task device filters.
containsTasks(int) - Method in interface org.tensorflow.proto.distruntime.JobDeviceFiltersOrBuilder: Mapping from task ID to task device filters.
containsThreadNames(int) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: Its key is thread id.
containsThreadNames(int) - Method in class org.tensorflow.proto.framework.DeviceStepStats: Its key is thread id.
containsThreadNames(int) - Method in interface org.tensorflow.proto.framework.DeviceStepStatsOrBuilder: Its key is thread id.
containsTraces(String) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder: This maps a node name to a stack trace in the source code.
containsTraces(String) - Method in class org.tensorflow.proto.framework.GraphDebugInfo: This maps a node name to a stack trace in the source code.
containsTraces(String) - Method in interface org.tensorflow.proto.framework.GraphDebugInfoOrBuilder: This maps a node name to a stack trace in the source code.
CONTENT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
CONTENT_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.Summary.Audio
contents - Variable in class org.tensorflow.op.audio.DecodeWav.Inputs: The WAV-encoded audio, usually from a file.
contents() - Method in class org.tensorflow.op.audio.EncodeWav: Gets contents.
contents - Variable in class org.tensorflow.op.image.DecodeAndCropJpeg.Inputs: 0-D.
contents - Variable in class org.tensorflow.op.image.DecodeBmp.Inputs: 0-D.
contents - Variable in class org.tensorflow.op.image.DecodeGif.Inputs: 0-D.
contents - Variable in class org.tensorflow.op.image.DecodeImage.Inputs: 0-D.
contents - Variable in class org.tensorflow.op.image.DecodeJpeg.Inputs: 0-D.
contents - Variable in class org.tensorflow.op.image.DecodePng.Inputs: 0-D.
contents() - Method in class org.tensorflow.op.image.EncodeJpeg: Gets contents.
contents() - Method in class org.tensorflow.op.image.EncodeJpegVariableQuality: Gets contents.
contents() - Method in class org.tensorflow.op.image.EncodePng: Gets contents.
contents - Variable in class org.tensorflow.op.image.ExtractJpegShape.Inputs: 0-D.
contents() - Method in class org.tensorflow.op.io.ReadFile: Gets contents.
contents - Variable in class org.tensorflow.op.io.WriteFile.Inputs: scalar.
context - Variable in class org.tensorflow.internal.c_api.AbstractTFE_Op: A reference to prevent deallocation.
CONTEXT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.example.SequenceExample
CONTEXT_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CondContextDef
CONTEXT_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.WhileContextDef
contextDenseDefaults - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: A list of Ncontext_dense Tensors (some may be empty).
contextDenseDefaults - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A list of Ncontext_dense Tensors (some may be empty).
contextDenseKeys - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: The keys expected in the SequenceExamples' context features associated with dense values.
contextDenseKeys - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A list of Ncontext_dense string Tensors (scalars).
contextDenseShapes(List<Shape>) - Static method in class org.tensorflow.op.io.ParseSequenceExample: Sets the contextDenseShapes option.
contextDenseShapes(Shape...) - Static method in class org.tensorflow.op.io.ParseSequenceExample: Sets the contextDenseShapes option.
contextDenseShapes - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: A list of Ncontext_dense shapes; the shapes of data in each context Feature given in context_dense_keys.
contextDenseShapes(List<Shape>) - Method in class org.tensorflow.op.io.ParseSequenceExample.Options: Sets the contextDenseShapes option.
contextDenseShapes(Shape...) - Method in class org.tensorflow.op.io.ParseSequenceExample.Options: Sets the contextDenseShapes option.
contextDenseShapes(List<Shape>) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample: Sets the contextDenseShapes option.
contextDenseShapes(Shape...) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample: Sets the contextDenseShapes option.
contextDenseShapes - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A list of Ncontext_dense shapes; the shapes of data in each context Feature given in context_dense_keys.
contextDenseShapes(List<Shape>) - Method in class org.tensorflow.op.io.ParseSingleSequenceExample.Options: Sets the contextDenseShapes option.
contextDenseShapes(Shape...) - Method in class org.tensorflow.op.io.ParseSingleSequenceExample.Options: Sets the contextDenseShapes option.
contextDenseValues() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets contextDenseValues.
contextDenseValues() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample: Gets contextDenseValues.
contextRaggedKeys - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: The keys expected in the Examples' features associated with context_ragged values.
contextRaggedRowSplits() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets contextRaggedRowSplits.
contextRaggedSplitTypes - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: RaggedTensor.row_split dtypes for the ragged context features.
contextRaggedValues() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets contextRaggedValues.
contextRaggedValueTypes - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: RaggedTensor.value dtypes for the ragged context features.
contextSparseIndices() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets contextSparseIndices.
contextSparseIndices() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample: Gets contextSparseIndices.
contextSparseKeys - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: The keys expected in the Examples' features associated with context_sparse values.
contextSparseKeys - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A list of Ncontext_sparse string Tensors (scalars).
contextSparseShapes() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets contextSparseShapes.
contextSparseShapes() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample: Gets contextSparseShapes.
contextSparseTypes - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: A list of Ncontext_sparse types; the data types of data in each context Feature given in context_sparse_keys.
contextSparseTypes - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A list of Ncontext_sparse types; the data types of data in each context Feature given in context_sparse_keys.
contextSparseValues() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets contextSparseValues.
contextSparseValues() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample: Gets contextSparseValues.
continueCentering() - Method in class org.tensorflow.op.estimator.BoostedTreesCenterBias: Gets continueCentering.
contrastFactor - Variable in class org.tensorflow.op.image.AdjustContrast.Inputs: A float multiplier for adjusting contrast.
CONTROL_INPUT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CostGraphDef.Node
CONTROL_OUTPUT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef
CONTROL_RET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.FunctionDef
controlConsumers() - Method in class org.tensorflow.GraphOperation: Get the ops with this op as a control dependency.
ControlFlowContextDef - Class in org.tensorflow.proto.framework: Container for any kind of control flow context.
ControlFlowContextDef.Builder - Class in org.tensorflow.proto.framework: Container for any kind of control flow context.
ControlFlowContextDef.CtxtCase - Enum in org.tensorflow.proto.framework
ControlFlowContextDefOrBuilder - Interface in org.tensorflow.proto.framework
ControlFlowProtos - Class in org.tensorflow.proto.framework
controlInputs() - Method in class org.tensorflow.GraphOperation: Get the control inputs of this op.
ControlTrigger - Class in org.tensorflow.op.core: Does nothing.
ControlTrigger(Operation) - Constructor for class org.tensorflow.op.core.ControlTrigger
controlTrigger() - Method in class org.tensorflow.op.Ops: Does nothing.
ControlTrigger.Inputs - Class in org.tensorflow.op.core
Conv<W extends TType> - Class in org.tensorflow.op.xla: Wraps the XLA ConvGeneralDilated operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#conv_convolution .
Conv(Operation) - Constructor for class org.tensorflow.op.xla.Conv
conv(Operand<? extends TType>, Operand<? extends TType>, Operand<V>, Operand<V>, Operand<V>, Operand<V>, Operand<V>, String, String, Class<W>) - Method in class org.tensorflow.op.XlaOps: Wraps the XLA ConvGeneralDilated operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#conv_convolution .
Conv.Inputs<V extends TNumber> - Class in org.tensorflow.op.xla
Conv2d<T extends TNumber> - Class in org.tensorflow.op.nn: Computes a 2-D convolution given 4-D input and filter tensors.
Conv2d(Operation) - Constructor for class org.tensorflow.op.nn.Conv2d
conv2d(Operand<T>, Operand<T>, List<Long>, String, Conv2d.Options...) - Method in class org.tensorflow.op.NnOps: Computes a 2-D convolution given 4-D input and filter tensors.
Conv2d.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
Conv2d.Options - Class in org.tensorflow.op.nn: Optional attributes for Conv2d
Conv2dBackpropFilter<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the gradients of convolution with respect to the filter.
Conv2dBackpropFilter(Operation) - Constructor for class org.tensorflow.op.nn.Conv2dBackpropFilter
conv2dBackpropFilter(Operand<T>, Operand<TInt32>, Operand<T>, List<Long>, String, Conv2dBackpropFilter.Options...) - Method in class org.tensorflow.op.NnOps: Computes the gradients of convolution with respect to the filter.
Conv2dBackpropFilter.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
Conv2dBackpropFilter.Options - Class in org.tensorflow.op.nn: Optional attributes for Conv2dBackpropFilter
Conv2dBackpropInput<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the gradients of convolution with respect to the input.
Conv2dBackpropInput(Operation) - Constructor for class org.tensorflow.op.nn.Conv2dBackpropInput
conv2dBackpropInput(Operand<TInt32>, Operand<T>, Operand<T>, List<Long>, String, Conv2dBackpropInput.Options...) - Method in class org.tensorflow.op.NnOps: Computes the gradients of convolution with respect to the input.
Conv2dBackpropInput.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
Conv2dBackpropInput.Options - Class in org.tensorflow.op.nn: Optional attributes for Conv2dBackpropInput
Conv3d<T extends TNumber> - Class in org.tensorflow.op.nn: Computes a 3-D convolution given 5-D input and filter tensors.
Conv3d(Operation) - Constructor for class org.tensorflow.op.nn.Conv3d
conv3d(Operand<T>, Operand<T>, List<Long>, String, Conv3d.Options...) - Method in class org.tensorflow.op.NnOps: Computes a 3-D convolution given 5-D input and filter tensors.
Conv3d.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
Conv3d.Options - Class in org.tensorflow.op.nn: Optional attributes for Conv3d
Conv3dBackpropFilter<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the gradients of 3-D convolution with respect to the filter.
Conv3dBackpropFilter(Operation) - Constructor for class org.tensorflow.op.nn.Conv3dBackpropFilter
conv3dBackpropFilter(Operand<T>, Operand<TInt32>, Operand<T>, List<Long>, String, Conv3dBackpropFilter.Options...) - Method in class org.tensorflow.op.NnOps: Computes the gradients of 3-D convolution with respect to the filter.
Conv3dBackpropFilter.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
Conv3dBackpropFilter.Options - Class in org.tensorflow.op.nn: Optional attributes for Conv3dBackpropFilter
Conv3dBackpropInput - Class in org.tensorflow.op.nn: Computes the gradients of 3-D convolution with respect to the input.
Conv3dBackpropInput(Operation) - Constructor for class org.tensorflow.op.nn.Conv3dBackpropInput
conv3dBackpropInput(Operand<? extends TNumber>, Operand, Operand, List<Long>, String, Conv3dBackpropInput.Options...) - Method in class org.tensorflow.op.NnOps: Computes the gradients of 3-D convolution with respect to the input.
Conv3dBackpropInput.Inputs - Class in org.tensorflow.op.nn
Conv3dBackpropInput.Options - Class in org.tensorflow.op.nn: Optional attributes for Conv3dBackpropInput
COO_SPARSE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorInfo
COORDINATION_SERVICE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto.Experimental
Copy<T extends TType> - Class in org.tensorflow.op.core: Copy a tensor from CPU-to-CPU or GPU-to-GPU.
Copy(Operation) - Constructor for class org.tensorflow.op.core.Copy
Copy.Inputs<T extends TType> - Class in org.tensorflow.op.core
Copy.Options - Class in org.tensorflow.op.core: Optional attributes for Copy
copyData() - Method in class org.tensorflow.internal.c_api.AbstractTF_Buffer: Returns a copy of the data in a Java array
CopyHost<T extends TType> - Class in org.tensorflow.op.core: Copy a tensor to host.
CopyHost(Operation) - Constructor for class org.tensorflow.op.core.CopyHost
CopyHost.Inputs<T extends TType> - Class in org.tensorflow.op.core
CopyHost.Options - Class in org.tensorflow.op.core: Optional attributes for CopyHost
copyTo(DataBuffer<byte[]>, long) - Method in class org.tensorflow.internal.buffer.ByteSequenceTensorBuffer
Cos<T extends TType> - Class in org.tensorflow.op.math: Computes cos of x element-wise.
Cos(Operation) - Constructor for class org.tensorflow.op.math.Cos
cos(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes cos of x element-wise.
Cos.Inputs<T extends TType> - Class in org.tensorflow.op.math
Cosh<T extends TType> - Class in org.tensorflow.op.math: Computes hyperbolic cosine of x element-wise.
Cosh(Operation) - Constructor for class org.tensorflow.op.math.Cosh
cosh(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes hyperbolic cosine of x element-wise.
Cosh.Inputs<T extends TType> - Class in org.tensorflow.op.math
COST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
COST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CostGraphDef
COST_GRAPH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RunMetadata
cost_id() - Method in class org.tensorflow.internal.c_api.Node
costEstimateNs(Long) - Static method in class org.tensorflow.op.xla.XlaHostCompute: Sets the costEstimateNs option.
costEstimateNs - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: Estimated duration of the host computation in nanoseconds.
costEstimateNs(Long) - Method in class org.tensorflow.op.xla.XlaHostCompute.Options: Sets the costEstimateNs option.
CostGraphDef - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.CostGraphDef
CostGraphDef.AggregatedCost - Class in org.tensorflow.proto.framework: Total cost of this graph, typically used for balancing decisions.
CostGraphDef.AggregatedCost.Builder - Class in org.tensorflow.proto.framework: Total cost of this graph, typically used for balancing decisions.
CostGraphDef.AggregatedCostOrBuilder - Interface in org.tensorflow.proto.framework
CostGraphDef.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.CostGraphDef
CostGraphDef.Node - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.CostGraphDef.Node
CostGraphDef.Node.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.CostGraphDef.Node
CostGraphDef.Node.InputInfo - Class in org.tensorflow.proto.framework: Inputs of this node.
CostGraphDef.Node.InputInfo.Builder - Class in org.tensorflow.proto.framework: Inputs of this node.
CostGraphDef.Node.InputInfoOrBuilder - Interface in org.tensorflow.proto.framework
CostGraphDef.Node.OutputInfo - Class in org.tensorflow.proto.framework: Outputs of this node.
CostGraphDef.Node.OutputInfo.Builder - Class in org.tensorflow.proto.framework: Outputs of this node.
CostGraphDef.Node.OutputInfoOrBuilder - Interface in org.tensorflow.proto.framework
CostGraphDef.NodeOrBuilder - Interface in org.tensorflow.proto.framework
CostGraphDefOrBuilder - Interface in org.tensorflow.proto.framework
CostGraphProtos - Class in org.tensorflow.proto.framework
count() - Method in class org.tensorflow.internal.c_api.TF_TString_Offset
count(int) - Method in class org.tensorflow.internal.c_api.TF_TString_Offset
count() - Method in class org.tensorflow.op.core.UniqueWithCounts: Gets count.
count - Variable in class org.tensorflow.op.data.RepeatDataset.Inputs: A scalar representing the number of times that input_dataset should be repeated.
count - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The count input
count - Variable in class org.tensorflow.op.data.SkipDataset.Inputs: A scalar representing the number of elements from the input_dataset that should be skipped.
count - Variable in class org.tensorflow.op.data.TakeDataset.Inputs: A scalar representing the number of elements from the input_dataset that should be taken.
counter() - Method in class org.tensorflow.op.random.StatelessRandomGetKeyCounter: Gets counter.
counter() - Method in class org.tensorflow.op.random.StatelessRandomGetKeyCounterAlg: Gets counter.
counter - Variable in class org.tensorflow.op.random.StatelessRandomNormalV2.Inputs: Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm).
counter - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2.Inputs: Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm).
counter - Variable in class org.tensorflow.op.random.StatelessRandomUniformIntV2.Inputs: Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm).
counter - Variable in class org.tensorflow.op.random.StatelessRandomUniformV2.Inputs: Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm).
counter - Variable in class org.tensorflow.op.random.StatelessTruncatedNormalV2.Inputs: Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm).
counterPrefix - Variable in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset.Inputs: The counterPrefix input
counterPrefix - Variable in class org.tensorflow.op.data.SetStatsAggregatorDataset.Inputs: The counterPrefix input
counts - Variable in class org.tensorflow.op.random.StatefulRandomBinomial.Inputs: The counts input
counts - Variable in class org.tensorflow.op.random.StatelessRandomBinomial.Inputs: The counts of the binomial distribution.
CountUpTo<T extends TNumber> - Class in org.tensorflow.op.core: Increments 'ref' until it reaches 'limit'.
CountUpTo(Operation) - Constructor for class org.tensorflow.op.core.CountUpTo
countUpTo(Operand<T>, Long) - Method in class org.tensorflow.op.Ops: Increments 'ref' until it reaches 'limit'.
CountUpTo.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
CPP_MICROBENCHMARK_VALUE - Static variable in enum org.tensorflow.proto.util.testlog.TestResults.BenchmarkType: CPP_MICROBENCHMARK = 1;
CPU_BUDGET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.AutotuneOptions
CPU_BUDGET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
CPU_GLOBAL_JIT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OptimizerOptions
CPU_GOVERNOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.CPUInfo
CPU_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.CPUInfo
CPU_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.MachineConfiguration
CPU_LAYOUT_CONVERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
CPU_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.BenchmarkEntry
CPU_VALUE - Static variable in enum org.tensorflow.proto.profiler.ProfileOptions.DeviceType: CPU = 1;
cpuBudget(Long) - Static method in class org.tensorflow.op.data.ModelDataset: Sets the cpuBudget option.
cpuBudget - Variable in class org.tensorflow.op.data.ModelDataset.Inputs: The cpuBudget attribute
cpuBudget(Long) - Method in class org.tensorflow.op.data.ModelDataset.Options: Sets the cpuBudget option.
CPUInfo - Class in org.tensorflow.proto.util.testlog: Protobuf type tensorflow.CPUInfo
CPUInfo.Builder - Class in org.tensorflow.proto.util.testlog: Protobuf type tensorflow.CPUInfo
CPUInfoOrBuilder - Interface in org.tensorflow.proto.util.testlog
CRC32C_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.BundleEntryProto
create(Function<Ops, Signature>) - Static method in class org.tensorflow.ConcreteFunction: Creates a function by building a new graph.
create(Signature, Graph) - Static method in class org.tensorflow.ConcreteFunction: Create a function from a signature and an existing graph.
create(Signature, Session) - Static method in class org.tensorflow.ConcreteFunction: Create a function from a signature and a valid graph session.
create() - Static method in class org.tensorflow.EagerSession: Returns an EagerSession configured with default options.
create(Scope, Operand<TFloat32>, Long, Long, AudioSpectrogram.Options...) - Static method in class org.tensorflow.op.audio.AudioSpectrogram: Factory method to create a class wrapping a new AudioSpectrogram operation.
create(Scope, Operand<TString>, DecodeWav.Options...) - Static method in class org.tensorflow.op.audio.DecodeWav: Factory method to create a class wrapping a new DecodeWav operation.
create(Scope, Operand<TFloat32>, Operand<TInt32>) - Static method in class org.tensorflow.op.audio.EncodeWav: Factory method to create a class wrapping a new EncodeWav operation.
create(Scope, Operand<TFloat32>, Operand<TInt32>, Mfcc.Options...) - Static method in class org.tensorflow.op.audio.Mfcc: Factory method to create a class wrapping a new Mfcc operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.bitwise.BitwiseAnd: Factory method to create a class wrapping a new BitwiseAnd operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.bitwise.BitwiseOr: Factory method to create a class wrapping a new BitwiseOr operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.bitwise.BitwiseXor: Factory method to create a class wrapping a new BitwiseXor operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.bitwise.Invert: Factory method to create a class wrapping a new Invert operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.bitwise.LeftShift: Factory method to create a class wrapping a new LeftShift operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.bitwise.RightShift: Factory method to create a class wrapping a new RightShift operation.
create(Scope, Operand<TFloat32>, Operand<TInt64>) - Static method in class org.tensorflow.op.cluster.KMC2ChainInitialization: Factory method to create a class wrapping a new KMC2ChainInitialization operation.
create(Scope, Operand<TFloat32>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>) - Static method in class org.tensorflow.op.cluster.KmeansPlusPlusInitialization: Factory method to create a class wrapping a new KmeansPlusPlusInitialization operation.
create(Scope, Operand<T>, Operand<? extends TType>, Operand<TInt32>, CollectiveAllToAll.Options...) - Static method in class org.tensorflow.op.collective.CollectiveAllToAll: Factory method to create a class wrapping a new CollectiveAllToAllV3 operation.
create(Scope, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Operand<? extends TNumber>, Class, CollectiveBcastRecv.Options...) - Static method in class org.tensorflow.op.collective.CollectiveBcastRecv: Factory method to create a class wrapping a new CollectiveBcastRecvV2 operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, CollectiveBcastSend.Options...) - Static method in class org.tensorflow.op.collective.CollectiveBcastSend: Factory method to create a class wrapping a new CollectiveBcastSendV2 operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Iterable<Operand<? extends TType>>, CollectiveGather.Options...) - Static method in class org.tensorflow.op.collective.CollectiveGather: Factory method to create a class wrapping a new CollectiveGatherV2 operation.
create(Scope, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, CollectiveInitializeCommunicator.Options...) - Static method in class org.tensorflow.op.collective.CollectiveInitializeCommunicator: Factory method to create a class wrapping a new CollectiveInitializeCommunicator operation.
create(Scope, Operand<T>, Operand<TInt32>) - Static method in class org.tensorflow.op.collective.CollectivePermute: Factory method to create a class wrapping a new CollectivePermute operation.
create(Scope, Operand<T>, Operand<? extends TType>, Operand<TInt32>, String, CollectiveReduce.Options...) - Static method in class org.tensorflow.op.collective.CollectiveReduce: Factory method to create a class wrapping a new CollectiveReduceV3 operation.
create(Scope, Abort.Options...) - Static method in class org.tensorflow.op.core.Abort: Factory method to create a class wrapping a new Abort operation.
create(Scope, Operand<TBool>, Operand<? extends TNumber>, All.Options...) - Static method in class org.tensorflow.op.core.All: Factory method to create a class wrapping a new All operation.
create(Scope, Class<T>, Class) - Static method in class org.tensorflow.op.core.AnonymousHashTable: Factory method to create a class wrapping a new AnonymousHashTable operation.
create(Scope, Operand<TBool>, Operand<? extends TNumber>, Any.Options...) - Static method in class org.tensorflow.op.core.Any: Factory method to create a class wrapping a new Any operation.
create(Scope, Operand<TBool>, Iterable<Operand<?>>, AssertThat.Options...) - Static method in class org.tensorflow.op.core.AssertThat: Factory method to create a class wrapping a new Assert operation.
create(Scope, Operand<T>, Operand<T>, Assign.Options...) - Static method in class org.tensorflow.op.core.Assign: Factory method to create a class wrapping a new Assign operation.
create(Scope, Operand<T>, Operand<T>, AssignAdd.Options...) - Static method in class org.tensorflow.op.core.AssignAdd: Factory method to create a class wrapping a new AssignAdd operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.AssignAddVariableOp: Factory method to create a class wrapping a new AssignAddVariableOp operation.
create(Scope, Operand<T>, Operand<T>, AssignSub.Options...) - Static method in class org.tensorflow.op.core.AssignSub: Factory method to create a class wrapping a new AssignSub operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.AssignSubVariableOp: Factory method to create a class wrapping a new AssignSubVariableOp operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.AssignVariableOp: Factory method to create a class wrapping a new AssignVariableOp operation.
create(Scope, List<Class<? extends TType>>, Barrier.Options...) - Static method in class org.tensorflow.op.core.Barrier: Factory method to create a class wrapping a new Barrier operation.
create(Scope, Operand<TString>, BarrierClose.Options...) - Static method in class org.tensorflow.op.core.BarrierClose: Factory method to create a class wrapping a new BarrierClose operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.core.BarrierIncompleteSize: Factory method to create a class wrapping a new BarrierIncompleteSize operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<? extends TType>, Long) - Static method in class org.tensorflow.op.core.BarrierInsertMany: Factory method to create a class wrapping a new BarrierInsertMany operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.core.BarrierReadySize: Factory method to create a class wrapping a new BarrierReadySize operation.
create(Scope, Operand<TString>, Operand<TInt32>, List<Class<? extends TType>>, BarrierTakeMany.Options...) - Static method in class org.tensorflow.op.core.BarrierTakeMany: Factory method to create a class wrapping a new BarrierTakeMany operation.
create(Scope, Iterable<Operand<?>>, Long, Long, Long, Long, Batch.Options...) - Static method in class org.tensorflow.op.core.Batch: Factory method to create a class wrapping a new Batch operation.
create(Scope, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, Long, Long, Long, List<Class<? extends TType>>, BatchFunction.Options...) - Static method in class org.tensorflow.op.core.BatchFunction: Factory method to create a class wrapping a new BatchFunction operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Long) - Static method in class org.tensorflow.op.core.BatchToSpace: Factory method to create a class wrapping a new BatchToSpace operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.core.BatchToSpaceNd: Factory method to create a class wrapping a new BatchToSpaceND operation.
create(Scope, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.core.Bitcast: Factory method to create a class wrapping a new Bitcast operation.
create(Scope, Operand<T>, Operand<TBool>, BooleanMask.Options...) - Static method in class org.tensorflow.op.core.BooleanMask: Apply boolean mask to tensor.
create(Scope, Operand<T>, Operand<TBool>, Operand<T>, BooleanMaskUpdate.Options...) - Static method in class org.tensorflow.op.core.BooleanMaskUpdate: Updates a tensor at the masked values, and returns the updated tensor.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.BroadcastDynamicShape: Factory method to create a class wrapping a new BroadcastArgs operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.BroadcastGradientArgs: Factory method to create a class wrapping a new BroadcastGradientArgs operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.core.BroadcastTo: Factory method to create a class wrapping a new BroadcastTo operation.
create(Scope, Operand<? extends TNumber>, List<Float>) - Static method in class org.tensorflow.op.core.Bucketize: Factory method to create a class wrapping a new Bucketize operation.
create(Scope, Operand<TInt32>, Iterable<Operand<?>>, List<Class<? extends TType>>, List<ConcreteFunction>, Case.Options...) - Static method in interface org.tensorflow.op.core.Case: Factory method to create a class wrapping a new Case operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.ClipByValue: Factory method to create a class wrapping a new ClipByValue operation.
create(Scope, Iterable<Operand<?>>, String) - Static method in class org.tensorflow.op.core.CompositeTensorVariantFromComponents: Factory method to create a class wrapping a new CompositeTensorVariantFromComponents operation.
create(Scope, Operand<? extends TType>, String, List<Class<? extends TType>>) - Static method in class org.tensorflow.op.core.CompositeTensorVariantToComponents: Factory method to create a class wrapping a new CompositeTensorVariantToComponents operation.
create(Scope, Iterable<Operand<T>>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.core.Concat: Factory method to create a class wrapping a new ConcatV2 operation.
create(Scope, T) - Static method in class org.tensorflow.op.core.Constant: Create a constant by making an immutable copy of tensor.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.ConsumeMutexLock: Factory method to create a class wrapping a new ConsumeMutexLock operation.
create(Scope) - Static method in class org.tensorflow.op.core.ControlTrigger: Factory method to create a class wrapping a new ControlTrigger operation.
create(Scope, Operand<T>, Copy.Options...) - Static method in class org.tensorflow.op.core.Copy: Factory method to create a class wrapping a new Copy operation.
create(Scope, Operand<T>, CopyHost.Options...) - Static method in class org.tensorflow.op.core.CopyHost: Factory method to create a class wrapping a new CopyHost operation.
create(Scope, Operand<T>, Long) - Static method in class org.tensorflow.op.core.CountUpTo: Factory method to create a class wrapping a new CountUpTo operation.
create(Scope, Operand<TString>, String, List<String>, List<Class<? extends TType>>, DecodeProto.Options...) - Static method in class org.tensorflow.op.core.DecodeProto: Factory method to create a class wrapping a new DecodeProtoV2 operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.DeepCopy: Factory method to create a class wrapping a new DeepCopy operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.core.DeleteSessionTensor: Factory method to create a class wrapping a new DeleteSessionTensor operation.
create(Scope, Operand<? extends TType>, DestroyResourceOp.Options...) - Static method in class org.tensorflow.op.core.DestroyResourceOp: Factory method to create a class wrapping a new DestroyResourceOp operation.
create(Scope, Operand<T>, String) - Static method in class org.tensorflow.op.core.DestroyTemporaryVariable: Factory method to create a class wrapping a new DestroyTemporaryVariable operation.
create(Scope, List<String>) - Static method in class org.tensorflow.op.core.DeviceIndex: Factory method to create a class wrapping a new DeviceIndex operation.
create(Scope) - Static method in class org.tensorflow.op.core.DummyMemoryCache: Factory method to create a class wrapping a new DummyMemoryCache operation.
create(Scope, Operand<T>, Operand<TInt32>, Long) - Static method in class org.tensorflow.op.core.DynamicPartition: Factory method to create a class wrapping a new DynamicPartition operation.
create(Scope, Iterable<Operand<TInt32>>, Iterable<Operand<T>>) - Static method in class org.tensorflow.op.core.DynamicStitch: Factory method to create a class wrapping a new DynamicStitch operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<T>, Operand<TInt64>, EditDistance.Options...) - Static method in class org.tensorflow.op.core.EditDistance: Factory method to create a class wrapping a new EditDistance operation.
create(Scope, Operand<TInt32>, Class<T>, Empty.Options...) - Static method in class org.tensorflow.op.core.Empty: Factory method to create a class wrapping a new Empty operation.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.core.EmptyTensorList: Factory method to create a class wrapping a new EmptyTensorList operation.
create(Scope) - Static method in class org.tensorflow.op.core.EmptyTensorMap: Factory method to create a class wrapping a new EmptyTensorMap operation.
create(Scope, Operand<TInt32>, Iterable<Operand<?>>, List<String>, String, EncodeProto.Options...) - Static method in class org.tensorflow.op.core.EncodeProto: Factory method to create a class wrapping a new EncodeProto operation.
create(Scope, Operand<T>, Shape) - Static method in class org.tensorflow.op.core.EnsureShape: Factory method to create a class wrapping a new EnsureShape operation.
create(Scope, Operand<T>, String, Enter.Options...) - Static method in class org.tensorflow.op.core.Enter: Factory method to create a class wrapping a new Enter operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Exit: Factory method to create a class wrapping a new Exit operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.core.ExpandDims: Factory method to create a class wrapping a new ExpandDims operation.
create(Scope, Operand<T>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.core.ExtractVolumePatches: Factory method to create a class wrapping a new ExtractVolumePatches operation.
create(Scope, Operand<? extends TNumber>, Operand) - Static method in class org.tensorflow.op.core.Fill: Factory method to create a class wrapping a new Fill operation.
create(Scope, Operand<? extends TType>, Operand<TString>) - Static method in class org.tensorflow.op.core.Fingerprint: Factory method to create a class wrapping a new Fingerprint operation.
create(Scope, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Iterable<Operand<?>>, ConcreteFunction) - Static method in class org.tensorflow.op.core.For: Factory method to create a class wrapping a new For operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, Gather.Options...) - Static method in class org.tensorflow.op.core.Gather: Factory method to create a class wrapping a new GatherV2 operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.core.GatherNd: Factory method to create a class wrapping a new GatherNd operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.core.GetElementAtIndex: Factory method to create a class wrapping a new GetElementAtIndex operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.GetOptions: Factory method to create a class wrapping a new GetOptions operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.GetSessionHandle: Factory method to create a class wrapping a new GetSessionHandleV2 operation.
create(Scope, Operand<TString>, Class<T>) - Static method in class org.tensorflow.op.core.GetSessionTensor: Factory method to create a class wrapping a new GetSessionTensor operation.
create(Scope, Iterable<? extends Operand<?>>, Iterable<? extends Operand<?>>, Gradients.Options...) - Static method in class org.tensorflow.op.core.Gradients: Adds gradients computation ops to the graph according to scope.
create(Scope, Operand<?>, Iterable<? extends Operand<?>>, Gradients.Options...) - Static method in class org.tensorflow.op.core.Gradients: Adds gradients computation ops to the graph according to scope.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.GuaranteeConst: Factory method to create a class wrapping a new GuaranteeConst operation.
create(Scope, Class<T>, Class, HashTable.Options...) - Static method in class org.tensorflow.op.core.HashTable: Factory method to create a class wrapping a new HashTableV2 operation.
create(Scope, Operand<T>, Operand<T>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.core.HistogramFixedWidth: Factory method to create a class wrapping a new HistogramFixedWidth operation.
create(Scope, Operand<T>, Operand<T>, Operand<TInt32>) - Static method in class org.tensorflow.op.core.HistogramFixedWidth: Factory method to create a class wrapping a new HistogramFixedWidth operation, with the default output types.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Identity: Factory method to create a class wrapping a new Identity operation.
create(Scope, Iterable<Operand<?>>) - Static method in class org.tensorflow.op.core.IdentityN: Factory method to create a class wrapping a new IdentityN operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction, ConcreteFunction, If.Options...) - Static method in interface org.tensorflow.op.core.If: Factory method to create a class wrapping a new If operation.
create(Scope, Class<T>, Shape, String) - Static method in class org.tensorflow.op.core.ImmutableConst: Factory method to create a class wrapping a new ImmutableConst operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.InitializeTable: Factory method to create a class wrapping a new InitializeTableV2 operation.
create(Scope, Operand<? extends TType>, Operand<TString>, Long, Long, InitializeTableFromTextFile.Options...) - Static method in class org.tensorflow.op.core.InitializeTableFromTextFile: Factory method to create a class wrapping a new InitializeTableFromTextFileV2 operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<T>) - Static method in class org.tensorflow.op.core.InplaceAdd: Factory method to create a class wrapping a new InplaceAdd operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<T>) - Static method in class org.tensorflow.op.core.InplaceSub: Factory method to create a class wrapping a new InplaceSub operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<T>) - Static method in class org.tensorflow.op.core.InplaceUpdate: Factory method to create a class wrapping a new InplaceUpdate operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.IsVariableInitialized: Factory method to create a class wrapping a new IsVariableInitialized operation.
create(Scope, Operand<TFloat32>, Long) - Static method in class org.tensorflow.op.core.KthOrderStatistic: Factory method to create a class wrapping a new KthOrderStatistic operation.
create(Scope, Operand<T>, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.core.LinSpace: Factory method to create a class wrapping a new LinSpace operation.
create(Scope, Operand<? extends TType>, Class<T>, Class) - Static method in class org.tensorflow.op.core.LookupTableExport: Factory method to create a class wrapping a new LookupTableExportV2 operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand) - Static method in class org.tensorflow.op.core.LookupTableFind: Factory method to create a class wrapping a new LookupTableFindV2 operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.LookupTableImport: Factory method to create a class wrapping a new LookupTableImportV2 operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.LookupTableInsert: Factory method to create a class wrapping a new LookupTableInsertV2 operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.LookupTableRemove: Factory method to create a class wrapping a new LookupTableRemoveV2 operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.LookupTableSize: Factory method to create a class wrapping a new LookupTableSizeV2 operation.
create(Scope, Operand<TBool>) - Static method in class org.tensorflow.op.core.LoopCond: Factory method to create a class wrapping a new LoopCond operation.
create(Scope, Operand<T>, Operand<T>, Class) - Static method in class org.tensorflow.op.core.LowerBound: Factory method to create a class wrapping a new LowerBound operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.LowerBound: Factory method to create a class wrapping a new LowerBound operation, with the default output types.
create(Scope, Operand<TFloat32>) - Static method in class org.tensorflow.op.core.MakeUnique: Factory method to create a class wrapping a new MakeUnique operation.
create(Scope, List<Class<? extends TType>>, MapClear.Options...) - Static method in class org.tensorflow.op.core.MapClear: Factory method to create a class wrapping a new MapClear operation.
create(Scope, Iterable<Operand<?>>, Iterable<Operand<?>>, List<Class<? extends TType>>, List<Shape>, ConcreteFunction, MapDefun.Options...) - Static method in class org.tensorflow.op.core.MapDefun: Factory method to create a class wrapping a new MapDefun operation.
create(Scope, List<Class<? extends TType>>, MapIncompleteSize.Options...) - Static method in class org.tensorflow.op.core.MapIncompleteSize: Factory method to create a class wrapping a new MapIncompleteSize operation.
create(Scope, Operand<TInt64>, Operand<TInt32>, List<Class<? extends TType>>, MapPeek.Options...) - Static method in class org.tensorflow.op.core.MapPeek: Factory method to create a class wrapping a new MapPeek operation.
create(Scope, List<Class<? extends TType>>, MapSize.Options...) - Static method in class org.tensorflow.op.core.MapSize: Factory method to create a class wrapping a new MapSize operation.
create(Scope, Operand<TInt64>, Operand<TInt32>, Iterable<Operand<?>>, List<Class<? extends TType>>, MapStage.Options...) - Static method in class org.tensorflow.op.core.MapStage: Factory method to create a class wrapping a new MapStage operation.
create(Scope, Operand<TInt64>, Operand<TInt32>, List<Class<? extends TType>>, MapUnstage.Options...) - Static method in class org.tensorflow.op.core.MapUnstage: Factory method to create a class wrapping a new MapUnstage operation.
create(Scope, Operand<TInt32>, List<Class<? extends TType>>, MapUnstageNoKey.Options...) - Static method in class org.tensorflow.op.core.MapUnstageNoKey: Factory method to create a class wrapping a new MapUnstageNoKey operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Max.Options...) - Static method in class org.tensorflow.op.core.Max: Factory method to create a class wrapping a new Max operation.
create(Scope, Iterable<Operand<T>>) - Static method in class org.tensorflow.op.core.Merge: Factory method to create a class wrapping a new Merge operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Min.Options...) - Static method in class org.tensorflow.op.core.Min: Factory method to create a class wrapping a new Min operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, String) - Static method in class org.tensorflow.op.core.MirrorPad: Factory method to create a class wrapping a new MirrorPad operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, String) - Static method in class org.tensorflow.op.core.MirrorPadGrad: Factory method to create a class wrapping a new MirrorPadGrad operation.
create(Scope, Iterable<Operand<?>>, String, List<Class<? extends TType>>) - Static method in class org.tensorflow.op.core.MlirPassthroughOp: Factory method to create a class wrapping a new MlirPassthroughOp operation.
create(Scope, Operand<T>, Operand<T>, Class, MutableDenseHashTable.Options...) - Static method in class org.tensorflow.op.core.MutableDenseHashTable: Factory method to create a class wrapping a new MutableDenseHashTableV2 operation.
create(Scope, Class<T>, Class, MutableHashTable.Options...) - Static method in class org.tensorflow.op.core.MutableHashTable: Factory method to create a class wrapping a new MutableHashTableV2 operation.
create(Scope, Class<T>, Class, MutableHashTableOfTensors.Options...) - Static method in class org.tensorflow.op.core.MutableHashTableOfTensors: Factory method to create a class wrapping a new MutableHashTableOfTensorsV2 operation.
create(Scope, Mutex.Options...) - Static method in class org.tensorflow.op.core.Mutex: Factory method to create a class wrapping a new MutexV2 operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.MutexLock: Factory method to create a class wrapping a new MutexLock operation.
create(Scope, Operand<T>, String, Long, String) - Static method in class org.tensorflow.op.core.NcclAllReduce: Deprecated.

Factory method to create a class wrapping a new NcclAllReduce operation.
create(Scope, Operand<T>, Shape) - Static method in class org.tensorflow.op.core.NcclBroadcast: Deprecated.

Factory method to create a class wrapping a new NcclBroadcast operation.
create(Scope, Iterable<Operand<T>>, String) - Static method in class org.tensorflow.op.core.NcclReduce: Deprecated.

Factory method to create a class wrapping a new NcclReduce operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.NextIteration: Factory method to create a class wrapping a new NextIteration operation.
create(Scope) - Static method in class org.tensorflow.op.core.NoOp: Factory method to create a class wrapping a new NoOp operation.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, Operand, Operand, OneHot.Options...) - Static method in class org.tensorflow.op.core.OneHot: Factory method to create a class wrapping a new OneHot operation.
create(Scope, Operand<? extends TNumber>, Class<T>) - Static method in class org.tensorflow.op.core.Ones: Creates a one valued tensor given its type and shape.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.OnesLike: Factory method to create a class wrapping a new OnesLike operation.
create(Scope, List<Class<? extends TType>>, OrderedMapClear.Options...) - Static method in class org.tensorflow.op.core.OrderedMapClear: Factory method to create a class wrapping a new OrderedMapClear operation.
create(Scope, List<Class<? extends TType>>, OrderedMapIncompleteSize.Options...) - Static method in class org.tensorflow.op.core.OrderedMapIncompleteSize: Factory method to create a class wrapping a new OrderedMapIncompleteSize operation.
create(Scope, Operand<TInt64>, Operand<TInt32>, List<Class<? extends TType>>, OrderedMapPeek.Options...) - Static method in class org.tensorflow.op.core.OrderedMapPeek: Factory method to create a class wrapping a new OrderedMapPeek operation.
create(Scope, List<Class<? extends TType>>, OrderedMapSize.Options...) - Static method in class org.tensorflow.op.core.OrderedMapSize: Factory method to create a class wrapping a new OrderedMapSize operation.
create(Scope, Operand<TInt64>, Operand<TInt32>, Iterable<Operand<?>>, List<Class<? extends TType>>, OrderedMapStage.Options...) - Static method in class org.tensorflow.op.core.OrderedMapStage: Factory method to create a class wrapping a new OrderedMapStage operation.
create(Scope, Operand<TInt64>, Operand<TInt32>, List<Class<? extends TType>>, OrderedMapUnstage.Options...) - Static method in class org.tensorflow.op.core.OrderedMapUnstage: Factory method to create a class wrapping a new OrderedMapUnstage operation.
create(Scope, Operand<TInt32>, List<Class<? extends TType>>, OrderedMapUnstageNoKey.Options...) - Static method in class org.tensorflow.op.core.OrderedMapUnstageNoKey: Factory method to create a class wrapping a new OrderedMapUnstageNoKey operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>) - Static method in class org.tensorflow.op.core.Pad: Factory method to create a class wrapping a new PadV2 operation.
create(Scope, Iterable<Operand<T>>, Shape) - Static method in class org.tensorflow.op.core.ParallelConcat: Factory method to create a class wrapping a new ParallelConcat operation.
create(Scope, Iterable<Operand<TInt32>>, Iterable<Operand<T>>) - Static method in class org.tensorflow.op.core.ParallelDynamicStitch: Factory method to create a class wrapping a new ParallelDynamicStitch operation.
create(Scope, Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction, PartitionedCall.Options...) - Static method in interface org.tensorflow.op.core.PartitionedCall: Factory method to create a class wrapping a new StatefulPartitionedCall operation.
create(Scope, Class<T>, Placeholder.Options...) - Static method in class org.tensorflow.op.core.Placeholder: Factory method to create a class wrapping a new Placeholder operation.
create(Scope, Operand<T>, Shape) - Static method in class org.tensorflow.op.core.PlaceholderWithDefault: Factory method to create a class wrapping a new PlaceholderWithDefault operation.
create(Scope, Operand<TString>, Print.Options...) - Static method in class org.tensorflow.op.core.Print: Factory method to create a class wrapping a new PrintV2 operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Prod.Options...) - Static method in class org.tensorflow.op.core.Prod: Factory method to create a class wrapping a new Prod operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>) - Static method in class org.tensorflow.op.core.QuantizedReshape: Factory method to create a class wrapping a new QuantizedReshape operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Range: Factory method to create a class wrapping a new Range operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.Rank: Factory method to create a class wrapping a new Rank operation.
create(Scope, Operand<? extends TType>, Class<T>) - Static method in class org.tensorflow.op.core.ReadVariableOp: Factory method to create a class wrapping a new ReadVariableOp operation.
create(Scope, Class<T>, String, String, Long, String, Recv.Options...) - Static method in class org.tensorflow.op.core.Recv: Factory method to create a class wrapping a new Recv operation.
create(Scope, Operand<TBool>, Operand<? extends TNumber>, ReduceAll.Options...) - Static method in class org.tensorflow.op.core.ReduceAll: Factory method to create a class wrapping a new All operation.
create(Scope, Operand<TBool>, Operand<? extends TNumber>, ReduceAny.Options...) - Static method in class org.tensorflow.op.core.ReduceAny: Factory method to create a class wrapping a new Any operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, ReduceMax.Options...) - Static method in class org.tensorflow.op.core.ReduceMax: Factory method to create a class wrapping a new Max operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, ReduceMin.Options...) - Static method in class org.tensorflow.op.core.ReduceMin: Factory method to create a class wrapping a new Min operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, ReduceProd.Options...) - Static method in class org.tensorflow.op.core.ReduceProd: Factory method to create a class wrapping a new Prod operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, ReduceSum.Options...) - Static method in class org.tensorflow.op.core.ReduceSum: Factory method to create a class wrapping a new Sum operation.
create(Scope, Operand<T>, String, RefEnter.Options...) - Static method in class org.tensorflow.op.core.RefEnter: Factory method to create a class wrapping a new RefEnter operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.RefExit: Factory method to create a class wrapping a new RefExit operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.RefIdentity: Factory method to create a class wrapping a new RefIdentity operation.
create(Scope, Iterable<Operand<T>>) - Static method in class org.tensorflow.op.core.RefMerge: Factory method to create a class wrapping a new RefMerge operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.RefNextIteration: Factory method to create a class wrapping a new RefNextIteration operation.
create(Scope, Operand<TInt32>, Iterable<Operand<T>>) - Static method in class org.tensorflow.op.core.RefSelect: Factory method to create a class wrapping a new RefSelect operation.
create(Scope, Operand<T>, Operand<TBool>) - Static method in class org.tensorflow.op.core.RefSwitch: Factory method to create a class wrapping a new RefSwitch operation.
create(Scope, Operand<TString>, Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction) - Static method in class org.tensorflow.op.core.RemoteCall: Factory method to create a class wrapping a new RemoteCall operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.core.Reshape: Factory method to create a class wrapping a new Reshape operation.
create(Scope, Operand<? extends TType>, Long, Class<T>) - Static method in class org.tensorflow.op.core.ResourceCountUpTo: Factory method to create a class wrapping a new ResourceCountUpTo operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Class, ResourceGather.Options...) - Static method in class org.tensorflow.op.core.ResourceGather: Factory method to create a class wrapping a new ResourceGather operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Class) - Static method in class org.tensorflow.op.core.ResourceGatherNd: Factory method to create a class wrapping a new ResourceGatherNd operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.ResourceScatterAdd: Factory method to create a class wrapping a new ResourceScatterAdd operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.ResourceScatterDiv: Factory method to create a class wrapping a new ResourceScatterDiv operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.ResourceScatterMax: Factory method to create a class wrapping a new ResourceScatterMax operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.ResourceScatterMin: Factory method to create a class wrapping a new ResourceScatterMin operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.ResourceScatterMul: Factory method to create a class wrapping a new ResourceScatterMul operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>, ResourceScatterNdAdd.Options...) - Static method in class org.tensorflow.op.core.ResourceScatterNdAdd: Factory method to create a class wrapping a new ResourceScatterNdAdd operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>, ResourceScatterNdMax.Options...) - Static method in class org.tensorflow.op.core.ResourceScatterNdMax: Factory method to create a class wrapping a new ResourceScatterNdMax operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>, ResourceScatterNdMin.Options...) - Static method in class org.tensorflow.op.core.ResourceScatterNdMin: Factory method to create a class wrapping a new ResourceScatterNdMin operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>, ResourceScatterNdSub.Options...) - Static method in class org.tensorflow.op.core.ResourceScatterNdSub: Factory method to create a class wrapping a new ResourceScatterNdSub operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>, ResourceScatterNdUpdate.Options...) - Static method in class org.tensorflow.op.core.ResourceScatterNdUpdate: Factory method to create a class wrapping a new ResourceScatterNdUpdate operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.ResourceScatterSub: Factory method to create a class wrapping a new ResourceScatterSub operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.ResourceScatterUpdate: Factory method to create a class wrapping a new ResourceScatterUpdate operation.
create(Scope, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TType>, ResourceStridedSliceAssign.Options...) - Static method in class org.tensorflow.op.core.ResourceStridedSliceAssign: Factory method to create a class wrapping a new ResourceStridedSliceAssign operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.core.Reverse: Factory method to create a class wrapping a new ReverseV2 operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Long, ReverseSequence.Options...) - Static method in class org.tensorflow.op.core.ReverseSequence: Factory method to create a class wrapping a new ReverseSequence operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.core.Roll: Factory method to create a class wrapping a new Roll operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterAdd.Options...) - Static method in class org.tensorflow.op.core.ScatterAdd: Factory method to create a class wrapping a new ScatterAdd operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterDiv.Options...) - Static method in class org.tensorflow.op.core.ScatterDiv: Factory method to create a class wrapping a new ScatterDiv operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterMax.Options...) - Static method in class org.tensorflow.op.core.ScatterMax: Factory method to create a class wrapping a new ScatterMax operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterMin.Options...) - Static method in class org.tensorflow.op.core.ScatterMin: Factory method to create a class wrapping a new ScatterMin operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterMul.Options...) - Static method in class org.tensorflow.op.core.ScatterMul: Factory method to create a class wrapping a new ScatterMul operation.
create(Scope, Operand<T>, Operand, Operand<T>) - Static method in class org.tensorflow.op.core.ScatterNd: Factory method to create a class wrapping a new ScatterNd operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterNdAdd.Options...) - Static method in class org.tensorflow.op.core.ScatterNdAdd: Factory method to create a class wrapping a new ScatterNdAdd operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterNdMax.Options...) - Static method in class org.tensorflow.op.core.ScatterNdMax: Factory method to create a class wrapping a new ScatterNdMax operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterNdMin.Options...) - Static method in class org.tensorflow.op.core.ScatterNdMin: Factory method to create a class wrapping a new ScatterNdMin operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>) - Static method in class org.tensorflow.op.core.ScatterNdNonAliasingAdd: Factory method to create a class wrapping a new ScatterNdNonAliasingAdd operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterNdSub.Options...) - Static method in class org.tensorflow.op.core.ScatterNdSub: Factory method to create a class wrapping a new ScatterNdSub operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterNdUpdate.Options...) - Static method in class org.tensorflow.op.core.ScatterNdUpdate: Factory method to create a class wrapping a new ScatterNdUpdate operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterSub.Options...) - Static method in class org.tensorflow.op.core.ScatterSub: Factory method to create a class wrapping a new ScatterSub operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterUpdate.Options...) - Static method in class org.tensorflow.op.core.ScatterUpdate: Factory method to create a class wrapping a new ScatterUpdate operation.
create(Scope, Operand<TBool>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Select: Factory method to create a class wrapping a new SelectV2 operation.
create(Scope, Operand<? extends TType>, String, String, Long, String, Send.Options...) - Static method in class org.tensorflow.op.core.Send: Factory method to create a class wrapping a new Send operation.
create(Scope, Operand<T>, Operand<T>, Class) - Static method in class org.tensorflow.op.core.SetDiff1d: Factory method to create a class wrapping a new ListDiff operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.SetDiff1d: Factory method to create a class wrapping a new ListDiff operation, with the default output types.
create(Scope, Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>, SetSize.Options...) - Static method in class org.tensorflow.op.core.SetSize: Factory method to create a class wrapping a new SetSize operation.
create(Scope, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.core.Shape: Factory method to create a class wrapping a new Shape operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.Shape: Factory method to create a class wrapping a new Shape operation, with the default output types.
create(Scope, Iterable<Operand<? extends TType>>, Class) - Static method in class org.tensorflow.op.core.ShapeN: Factory method to create a class wrapping a new ShapeN operation.
create(Scope, Iterable<Operand<? extends TType>>) - Static method in class org.tensorflow.op.core.ShapeN: Factory method to create a class wrapping a new ShapeN operation, with the default output types.
create(Scope, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.core.Size: Factory method to create a class wrapping a new Size operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.Size: Factory method to create a class wrapping a new Size operation, with the default output types.
create(Scope, String, Long, Skipgram.Options...) - Static method in class org.tensorflow.op.core.Skipgram: Factory method to create a class wrapping a new Skipgram operation.
create(Scope, Operand<T>, Operand, Operand) - Static method in class org.tensorflow.op.core.Slice: Factory method to create a class wrapping a new Slice operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Snapshot: Factory method to create a class wrapping a new Snapshot operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.core.SpaceToBatchNd: Factory method to create a class wrapping a new SpaceToBatchND operation.
create(Scope, Operand<TInt32>, Operand<T>, Long) - Static method in class org.tensorflow.op.core.Split: Factory method to create a class wrapping a new Split operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<TInt32>, Long) - Static method in class org.tensorflow.op.core.SplitV: Factory method to create a class wrapping a new SplitV operation.
create(Scope, Operand<T>, Squeeze.Options...) - Static method in class org.tensorflow.op.core.Squeeze: Factory method to create a class wrapping a new Squeeze operation.
create(Scope, Iterable<Operand<T>>, Stack.Options...) - Static method in class org.tensorflow.op.core.Stack: Factory method to create a class wrapping a new Pack operation.
create(Scope, Iterable<Operand<?>>, Stage.Options...) - Static method in class org.tensorflow.op.core.Stage: Factory method to create a class wrapping a new Stage operation.
create(Scope, List<Class<? extends TType>>, StageClear.Options...) - Static method in class org.tensorflow.op.core.StageClear: Factory method to create a class wrapping a new StageClear operation.
create(Scope, Operand<TInt32>, List<Class<? extends TType>>, StagePeek.Options...) - Static method in class org.tensorflow.op.core.StagePeek: Factory method to create a class wrapping a new StagePeek operation.
create(Scope, List<Class<? extends TType>>, StageSize.Options...) - Static method in class org.tensorflow.op.core.StageSize: Factory method to create a class wrapping a new StageSize operation.
create(Scope, Operand<TInt32>, Iterable<Operand<?>>, List<Class<? extends TType>>, List<ConcreteFunction>, Case.Options...) - Static method in class org.tensorflow.op.core.StatefulCase: Factory method to create a class wrapping a new Case operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction, ConcreteFunction, If.Options...) - Static method in class org.tensorflow.op.core.StatefulIf: Factory method to create a class wrapping a new If operation.
create(Scope, Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction, PartitionedCall.Options...) - Static method in class org.tensorflow.op.core.StatefulPartitionedCall: Factory method to create a class wrapping a new StatefulPartitionedCall operation.
create(Scope, Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, While.Options...) - Static method in class org.tensorflow.op.core.StatefulWhile: Factory method to create a class wrapping a new While operation.
create(Scope, Operand<TInt32>, Iterable<Operand<?>>, List<Class<? extends TType>>, List<ConcreteFunction>, Case.Options...) - Static method in class org.tensorflow.op.core.StatelessCase: Factory method to create a class wrapping a new StatelessCase operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction, ConcreteFunction, If.Options...) - Static method in class org.tensorflow.op.core.StatelessIf: Factory method to create a class wrapping a new StatelessIf operation.
create(Scope, Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction, PartitionedCall.Options...) - Static method in class org.tensorflow.op.core.StatelessPartitionedCall: Factory method to create a class wrapping a new PartitionedCall operation.
create(Scope, Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, While.Options...) - Static method in class org.tensorflow.op.core.StatelessWhile: Factory method to create a class wrapping a new StatelessWhile operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.StopGradient: Factory method to create a class wrapping a new StopGradient operation.
create(Scope, Operand<T>, Operand, Operand, Operand, StridedSlice.Options...) - Static method in class org.tensorflow.op.core.StridedSlice: Factory method to create a class wrapping a new StridedSlice operation.
create(Scope, Operand<T>, Operand, Operand, Operand, Operand<T>, StridedSliceAssign.Options...) - Static method in class org.tensorflow.op.core.StridedSliceAssign: Factory method to create a class wrapping a new StridedSliceAssign operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand, StridedSliceGrad.Options...) - Static method in class org.tensorflow.op.core.StridedSliceGrad: Factory method to create a class wrapping a new StridedSliceGrad operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Sum.Options...) - Static method in class org.tensorflow.op.core.Sum: Factory method to create a class wrapping a new Sum operation.
create(Scope, Operand<T>, Operand<TBool>) - Static method in class org.tensorflow.op.core.SwitchCond: Factory method to create a class wrapping a new Switch operation.
create(Scope, Shape, Class<T>, TemporaryVariable.Options...) - Static method in class org.tensorflow.op.core.TemporaryVariable: Factory method to create a class wrapping a new TemporaryVariable operation.
create(Scope, Operand<TInt32>, Class<T>, TensorArray.Options...) - Static method in class org.tensorflow.op.core.TensorArray: Factory method to create a class wrapping a new TensorArrayV3 operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.TensorArrayClose: Factory method to create a class wrapping a new TensorArrayCloseV3 operation.
create(Scope, Operand<? extends TType>, Operand<TFloat32>, Class<T>, TensorArrayConcat.Options...) - Static method in class org.tensorflow.op.core.TensorArrayConcat: Factory method to create a class wrapping a new TensorArrayConcatV3 operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Operand<TFloat32>, Class<T>, TensorArrayGather.Options...) - Static method in class org.tensorflow.op.core.TensorArrayGather: Factory method to create a class wrapping a new TensorArrayGatherV3 operation.
create(Scope, Operand<? extends TType>, Operand<TFloat32>, String) - Static method in class org.tensorflow.op.core.TensorArrayGrad: Factory method to create a class wrapping a new TensorArrayGradV3 operation.
create(Scope, Operand<? extends TType>, Operand<TFloat32>, Operand<TInt32>, String) - Static method in class org.tensorflow.op.core.TensorArrayGradWithShape: Factory method to create a class wrapping a new TensorArrayGradWithShape operation.
create(Scope, Operand<TString>, Operand<TFloat32>, Class<T>, TensorArrayPack.Options...) - Static method in class org.tensorflow.op.core.TensorArrayPack: Factory method to create a class wrapping a new TensorArrayPack operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Operand<TFloat32>, Class<T>) - Static method in class org.tensorflow.op.core.TensorArrayRead: Factory method to create a class wrapping a new TensorArrayReadV3 operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Operand<? extends TType>, Operand<TFloat32>) - Static method in class org.tensorflow.op.core.TensorArrayScatter: Factory method to create a class wrapping a new TensorArrayScatterV3 operation.
create(Scope, Operand<? extends TType>, Operand<TFloat32>) - Static method in class org.tensorflow.op.core.TensorArraySize: Factory method to create a class wrapping a new TensorArraySizeV3 operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt64>, Operand<TFloat32>) - Static method in class org.tensorflow.op.core.TensorArraySplit: Factory method to create a class wrapping a new TensorArraySplitV3 operation.
create(Scope, Operand<TString>, Operand<? extends TType>, Operand<TFloat32>) - Static method in class org.tensorflow.op.core.TensorArrayUnpack: Factory method to create a class wrapping a new TensorArrayUnpack operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Operand<? extends TType>, Operand<TFloat32>) - Static method in class org.tensorflow.op.core.TensorArrayWrite: Factory method to create a class wrapping a new TensorArrayWriteV3 operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<TInt64>, Class) - Static method in class org.tensorflow.op.core.TensorListConcat: Factory method to create a class wrapping a new TensorListConcatV2 operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Class<T>) - Static method in class org.tensorflow.op.core.TensorListConcatLists: Factory method to create a class wrapping a new TensorListConcatLists operation.
create(Scope, Operand<? extends TType>, Class<T>) - Static method in class org.tensorflow.op.core.TensorListElementShape: Factory method to create a class wrapping a new TensorListElementShape operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.core.TensorListFromTensor: Factory method to create a class wrapping a new TensorListFromTensor operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Operand<TInt32>, Class<T>) - Static method in class org.tensorflow.op.core.TensorListGather: Factory method to create a class wrapping a new TensorListGather operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Operand<TInt32>, Class<T>) - Static method in class org.tensorflow.op.core.TensorListGetItem: Factory method to create a class wrapping a new TensorListGetItem operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.TensorListLength: Factory method to create a class wrapping a new TensorListLength operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Class<T>) - Static method in class org.tensorflow.op.core.TensorListPopBack: Factory method to create a class wrapping a new TensorListPopBack operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.TensorListPushBack: Factory method to create a class wrapping a new TensorListPushBack operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.TensorListPushBackBatch: Factory method to create a class wrapping a new TensorListPushBackBatch operation.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.core.TensorListReserve: Factory method to create a class wrapping a new TensorListReserve operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>) - Static method in class org.tensorflow.op.core.TensorListResize: Factory method to create a class wrapping a new TensorListResize operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Operand<? extends TNumber>, Operand<TInt32>) - Static method in class org.tensorflow.op.core.TensorListScatter: Factory method to create a class wrapping a new TensorListScatterV2 operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>) - Static method in class org.tensorflow.op.core.TensorListScatterIntoExistingList: Factory method to create a class wrapping a new TensorListScatterIntoExistingList operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.TensorListSetItem: Factory method to create a class wrapping a new TensorListSetItem operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<TInt64>) - Static method in class org.tensorflow.op.core.TensorListSplit: Factory method to create a class wrapping a new TensorListSplit operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Class<T>, TensorListStack.Options...) - Static method in class org.tensorflow.op.core.TensorListStack: Factory method to create a class wrapping a new TensorListStack operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.core.TensorMapErase: Factory method to create a class wrapping a new TensorMapErase operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.TensorMapHasKey: Factory method to create a class wrapping a new TensorMapHasKey operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.TensorMapInsert: Factory method to create a class wrapping a new TensorMapInsert operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.core.TensorMapLookup: Factory method to create a class wrapping a new TensorMapLookup operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.TensorMapSize: Factory method to create a class wrapping a new TensorMapSize operation.
create(Scope, Operand<? extends TType>, Class<T>) - Static method in class org.tensorflow.op.core.TensorMapStackKeys: Factory method to create a class wrapping a new TensorMapStackKeys operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>) - Static method in class org.tensorflow.op.core.TensorScatterNdAdd: Factory method to create a class wrapping a new TensorScatterAdd operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>) - Static method in class org.tensorflow.op.core.TensorScatterNdMax: Factory method to create a class wrapping a new TensorScatterMax operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>) - Static method in class org.tensorflow.op.core.TensorScatterNdMin: Factory method to create a class wrapping a new TensorScatterMin operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>) - Static method in class org.tensorflow.op.core.TensorScatterNdSub: Factory method to create a class wrapping a new TensorScatterSub operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>) - Static method in class org.tensorflow.op.core.TensorScatterNdUpdate: Factory method to create a class wrapping a new TensorScatterUpdate operation.
create(Scope, Operand<T>, Operand, Operand, Operand, Operand<T>, TensorStridedSliceUpdate.Options...) - Static method in class org.tensorflow.op.core.TensorStridedSliceUpdate: Factory method to create a class wrapping a new TensorStridedSliceUpdate operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.core.Tile: Factory method to create a class wrapping a new Tile operation.
create(Scope) - Static method in class org.tensorflow.op.core.Timestamp: Factory method to create a class wrapping a new Timestamp operation.
create(Scope, Operand<TFloat32>, Long) - Static method in class org.tensorflow.op.core.TopKUnique: Factory method to create a class wrapping a new TopKUnique operation.
create(Scope, Operand<TFloat32>, Long) - Static method in class org.tensorflow.op.core.TopKWithUnique: Factory method to create a class wrapping a new TopKWithUnique operation.
create(Scope, Operand<T>, Operand<TInt64>, Operand<TInt64>, Long, Unbatch.Options...) - Static method in class org.tensorflow.op.core.Unbatch: Factory method to create a class wrapping a new Unbatch operation.
create(Scope, Operand<T>, Operand<TInt64>, Operand<T>, Operand<TInt64>, UnbatchGrad.Options...) - Static method in class org.tensorflow.op.core.UnbatchGrad: Factory method to create a class wrapping a new UnbatchGrad operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Class<V>) - Static method in class org.tensorflow.op.core.Unique: Factory method to create a class wrapping a new UniqueV2 operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.core.Unique: Factory method to create a class wrapping a new UniqueV2 operation, with the default output types.
create(Scope, Operand<T>, Operand<? extends TNumber>, Class<V>) - Static method in class org.tensorflow.op.core.UniqueWithCounts: Factory method to create a class wrapping a new UniqueWithCountsV2 operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.core.UniqueWithCounts: Factory method to create a class wrapping a new UniqueWithCountsV2 operation, with the default output types.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.UnravelIndex: Factory method to create a class wrapping a new UnravelIndex operation.
create(Scope, Operand<T>, Long, Unstack.Options...) - Static method in class org.tensorflow.op.core.Unstack: Factory method to create a class wrapping a new Unpack operation.
create(Scope, List<Class<? extends TType>>, Unstage.Options...) - Static method in class org.tensorflow.op.core.Unstage: Factory method to create a class wrapping a new Unstage operation.
create(Scope, Operand<T>, Operand<T>, Class) - Static method in class org.tensorflow.op.core.UpperBound: Factory method to create a class wrapping a new UpperBound operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.UpperBound: Factory method to create a class wrapping a new UpperBound operation, with the default output types.
create(Scope, Class<T>, Shape, VarHandleOp.Options...) - Static method in class org.tensorflow.op.core.VarHandleOp: Factory method to create a class wrapping a new VarHandleOp operation.
create(Scope, Shape, Class<T>, Variable.Options...) - Static method in class org.tensorflow.op.core.Variable: Factory method to create a class wrapping a new VariableV2 operation.
create(Scope, Operand<? extends TType>, Class<T>) - Static method in class org.tensorflow.op.core.VariableShape: Factory method to create a class wrapping a new VariableShape operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.VariableShape: Factory method to create a class wrapping a new VariableShape operation, with the default output types.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.VarIsInitializedOp: Factory method to create a class wrapping a new VarIsInitializedOp operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.Where: Factory method to create a class wrapping a new Where operation.
create(Scope, Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, While.Options...) - Static method in interface org.tensorflow.op.core.While: Factory method to create a class wrapping a new While operation.
create(Scope, Operand<? extends TNumber>, Class<T>) - Static method in class org.tensorflow.op.core.Zeros: Creates a zeroed tensor given its type and shape.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.ZerosLike: Factory method to create a class wrapping a new ZerosLike operation.
create(Scope, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.AnonymousIterator: Factory method to create a class wrapping a new AnonymousIteratorV2 operation.
create(Scope) - Static method in class org.tensorflow.op.data.AnonymousMemoryCache: Factory method to create a class wrapping a new AnonymousMemoryCache operation.
create(Scope, List<String>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.AnonymousMultiDeviceIterator: Factory method to create a class wrapping a new AnonymousMultiDeviceIterator operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.AssertCardinalityDataset: Factory method to create a class wrapping a new AssertCardinalityDataset operation.
create(Scope, Operand<? extends TType>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.AssertNextDataset: Factory method to create a class wrapping a new AssertNextDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, AutoShardDataset.Options...) - Static method in class org.tensorflow.op.data.AutoShardDataset: Factory method to create a class wrapping a new AutoShardDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TBool>, List<Class<? extends TType>>, List<Shape>, BatchDataset.Options...) - Static method in class org.tensorflow.op.data.BatchDataset: Factory method to create a class wrapping a new BatchDatasetV2 operation.
create(Scope, Operand<? extends TType>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.BytesProducedStatsDataset: Factory method to create a class wrapping a new BytesProducedStatsDataset operation.
create(Scope, Operand<? extends TType>, Operand<TString>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, CacheDataset.Options...) - Static method in class org.tensorflow.op.data.CacheDataset: Factory method to create a class wrapping a new CacheDatasetV2 operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, Iterable<Operand<?>>, Long, List<ConcreteFunction>, List<Long>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.ChooseFastestBranchDataset: Factory method to create a class wrapping a new ChooseFastestBranchDataset operation.
create(Scope, Iterable<Operand<? extends TType>>, Long, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.ChooseFastestDataset: Factory method to create a class wrapping a new ChooseFastestDataset operation.
create(Scope, Iterable<Operand<?>>) - Static method in class org.tensorflow.op.data.CompressElement: Factory method to create a class wrapping a new CompressElement operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, ConcatenateDataset.Options...) - Static method in class org.tensorflow.op.data.ConcatenateDataset: Factory method to create a class wrapping a new ConcatenateDataset operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TInt64>, Operand<TBool>, Operand<TString>, Operand<TBool>, Operand<TString>, Operand<TInt64>, Iterable<Operand<?>>, Operand<TInt64>, List<Shape>) - Static method in class org.tensorflow.op.data.CSVDataset: Factory method to create a class wrapping a new CSVDatasetV2 operation.
create(Scope, Operand<TInt64>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, DataServiceDatasetV2.Options...) - Static method in class org.tensorflow.op.data.DataServiceDatasetV2: Factory method to create a class wrapping a new DataServiceDatasetV2 operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.DatasetCardinality: Factory method to create a class wrapping a new DatasetCardinality operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.data.DatasetFromGraph: Factory method to create a class wrapping a new DatasetFromGraph operation.
create(Scope, Operand<? extends TType>, DatasetToGraph.Options...) - Static method in class org.tensorflow.op.data.DatasetToGraph: Factory method to create a class wrapping a new DatasetToGraphV2 operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, DatasetToSingleElement.Options...) - Static method in class org.tensorflow.op.data.DatasetToSingleElement: Factory method to create a class wrapping a new DatasetToSingleElement operation.
create(Scope, Operand<? extends TType>, Operand<TString>, Operand<TString>) - Static method in class org.tensorflow.op.data.DatasetToTfRecord: Factory method to create a class wrapping a new DatasetToTFRecord operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.DeleteIterator: Factory method to create a class wrapping a new DeleteIterator operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.DeleteMemoryCache: Factory method to create a class wrapping a new DeleteMemoryCache operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<? extends TType>>, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.DeleteMultiDeviceIterator: Factory method to create a class wrapping a new DeleteMultiDeviceIterator operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.DenseToSparseBatchDataset: Factory method to create a class wrapping a new DenseToSparseBatchDataset operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.DeserializeIterator: Factory method to create a class wrapping a new DeserializeIterator operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<? extends TType>>, List<Class<? extends TType>>, List<Shape>, DirectedInterleaveDataset.Options...) - Static method in class org.tensorflow.op.data.DirectedInterleaveDataset: Factory method to create a class wrapping a new DirectedInterleaveDataset operation.
create(Scope) - Static method in class org.tensorflow.op.data.DummyIterationCounter: Factory method to create a class wrapping a new DummyIterationCounter operation.
create(Scope, Operand<? extends TType>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.AssertNextDataset: Factory method to create a class wrapping a new ExperimentalAssertNextDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, AutoShardDataset.Options...) - Static method in class org.tensorflow.op.data.experimental.AutoShardDataset: Factory method to create a class wrapping a new ExperimentalAutoShardDataset operation.
create(Scope, Operand<? extends TType>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.BytesProducedStatsDataset: Factory method to create a class wrapping a new ExperimentalBytesProducedStatsDataset operation.
create(Scope, Iterable<Operand<? extends TType>>, Long, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.ChooseFastestDataset: Factory method to create a class wrapping a new ExperimentalChooseFastestDataset operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TInt64>, Operand<TBool>, Operand<TString>, Operand<TBool>, Operand<TString>, Operand<TInt64>, Iterable<Operand<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.CSVDataset: Factory method to create a class wrapping a new ExperimentalCSVDataset operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.experimental.DatasetCardinality: Factory method to create a class wrapping a new ExperimentalDatasetCardinality operation.
create(Scope, Operand<? extends TType>, Operand<TString>, Operand<TString>) - Static method in class org.tensorflow.op.data.experimental.DatasetToTFRecord: Factory method to create a class wrapping a new ExperimentalDatasetToTFRecord operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset: Factory method to create a class wrapping a new ExperimentalDenseToSparseBatchDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<? extends TType>>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.DirectedInterleaveDataset: Factory method to create a class wrapping a new ExperimentalDirectedInterleaveDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, ConcreteFunction, ConcreteFunction, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.GroupByReducerDataset: Factory method to create a class wrapping a new ExperimentalGroupByReducerDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, ConcreteFunction, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.GroupByWindowDataset: Factory method to create a class wrapping a new ExperimentalGroupByWindowDataset operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, IgnoreErrorsDataset.Options...) - Static method in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset: Factory method to create a class wrapping a new ExperimentalIgnoreErrorsDataset operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.experimental.IteratorGetDevice: Factory method to create a class wrapping a new ExperimentalIteratorGetDevice operation.
create(Scope, Operand<? extends TType>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.LatencyStatsDataset: Factory method to create a class wrapping a new ExperimentalLatencyStatsDataset operation.
create(Scope, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.LmdbDataset: Factory method to create a class wrapping a new ExperimentalLMDBDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Operand<TInt64>, Operand<TInt64>, Operand<TBool>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, MapAndBatchDataset.Options...) - Static method in class org.tensorflow.op.data.experimental.MapAndBatchDataset: Factory method to create a class wrapping a new ExperimentalMapAndBatchDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, MapDataset.Options...) - Static method in class org.tensorflow.op.data.experimental.MapDataset: Factory method to create a class wrapping a new ExperimentalMapDataset operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.data.experimental.MatchingFilesDataset: Factory method to create a class wrapping a new ExperimentalMatchingFilesDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset: Factory method to create a class wrapping a new ExperimentalMaxIntraOpParallelismDataset operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.NonSerializableDataset: Factory method to create a class wrapping a new ExperimentalNonSerializableDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Operand<TInt64>, Operand<TInt64>, Operand<TBool>, Operand<TInt64>, Operand<TInt64>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset: Factory method to create a class wrapping a new ExperimentalParallelInterleaveDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Iterable<Operand<?>>, List<String>, List<String>, List<Class<? extends TType>>, List<Shape>, List<Class<? extends TType>>, List<Shape>, ParseExampleDataset.Options...) - Static method in class org.tensorflow.op.data.experimental.ParseExampleDataset: Factory method to create a class wrapping a new ExperimentalParseExampleDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset: Factory method to create a class wrapping a new ExperimentalPrivateThreadPoolDataset operation.
create(Scope, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.RandomDataset: Factory method to create a class wrapping a new ExperimentalRandomDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, RebatchDataset.Options...) - Static method in class org.tensorflow.op.data.experimental.RebatchDataset: Factory method to create a class wrapping a new ExperimentalRebatchDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, ScanDataset.Options...) - Static method in class org.tensorflow.op.data.experimental.ScanDataset: Factory method to create a class wrapping a new ExperimentalScanDataset operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<TString>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset: Factory method to create a class wrapping a new ExperimentalSetStatsAggregatorDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.SleepDataset: Factory method to create a class wrapping a new ExperimentalSleepDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.SlidingWindowDataset: Factory method to create a class wrapping a new ExperimentalSlidingWindowDataset operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.SqlDataset: Factory method to create a class wrapping a new ExperimentalSqlDataset operation.
create(Scope, StatsAggregatorHandle.Options...) - Static method in class org.tensorflow.op.data.experimental.StatsAggregatorHandle: Factory method to create a class wrapping a new ExperimentalStatsAggregatorHandle operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.experimental.StatsAggregatorSummary: Factory method to create a class wrapping a new ExperimentalStatsAggregatorSummary operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.TakeWhileDataset: Factory method to create a class wrapping a new ExperimentalTakeWhileDataset operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.ThreadPoolDataset: Factory method to create a class wrapping a new ExperimentalThreadPoolDataset operation.
create(Scope, Long, String, ThreadPoolHandle.Options...) - Static method in class org.tensorflow.op.data.experimental.ThreadPoolHandle: Factory method to create a class wrapping a new ExperimentalThreadPoolHandle operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.UnbatchDataset: Factory method to create a class wrapping a new ExperimentalUnbatchDataset operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.UniqueDataset: Factory method to create a class wrapping a new ExperimentalUniqueDataset operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.FilterByLastComponentDataset: Factory method to create a class wrapping a new FilterByLastComponentDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, FilterDataset.Options...) - Static method in class org.tensorflow.op.data.FilterDataset: Factory method to create a class wrapping a new FilterDataset operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, FinalizeDataset.Options...) - Static method in class org.tensorflow.op.data.FinalizeDataset: Factory method to create a class wrapping a new FinalizeDataset operation.
create(Scope, Operand<TString>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<TString>, FixedLengthRecordDataset.Options...) - Static method in class org.tensorflow.op.data.FixedLengthRecordDataset: Factory method to create a class wrapping a new FixedLengthRecordDatasetV2 operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, FlatMapDataset.Options...) - Static method in class org.tensorflow.op.data.FlatMapDataset: Factory method to create a class wrapping a new FlatMapDataset operation.
create(Scope, Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, GeneratorDataset.Options...) - Static method in class org.tensorflow.op.data.GeneratorDataset: Factory method to create a class wrapping a new GeneratorDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, ConcreteFunction, ConcreteFunction, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.GroupByReducerDataset: Factory method to create a class wrapping a new GroupByReducerDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, GroupByWindowDataset.Options...) - Static method in class org.tensorflow.op.data.GroupByWindowDataset: Factory method to create a class wrapping a new GroupByWindowDataset operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, IgnoreErrorsDataset.Options...) - Static method in class org.tensorflow.op.data.IgnoreErrorsDataset: Factory method to create a class wrapping a new IgnoreErrorsDataset operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.InitializeTableFromDataset: Factory method to create a class wrapping a new InitializeTableFromDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Operand<TInt64>, Operand<TInt64>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, InterleaveDataset.Options...) - Static method in class org.tensorflow.op.data.InterleaveDataset: Factory method to create a class wrapping a new InterleaveDataset operation.
create(Scope, String, String, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.Iterator: Factory method to create a class wrapping a new IteratorV2 operation.
create(Scope, Operand<TString>, List<Class<? extends TType>>, IteratorFromStringHandle.Options...) - Static method in class org.tensorflow.op.data.IteratorFromStringHandle: Factory method to create a class wrapping a new IteratorFromStringHandleV2 operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.IteratorGetDevice: Factory method to create a class wrapping a new IteratorGetDevice operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.IteratorGetNext: Factory method to create a class wrapping a new IteratorGetNext operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.IteratorGetNextAsOptional: Factory method to create a class wrapping a new IteratorGetNextAsOptional operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.IteratorGetNextSync: Factory method to create a class wrapping a new IteratorGetNextSync operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.IteratorToStringHandle: Factory method to create a class wrapping a new IteratorToStringHandle operation.
create(Scope, Operand<? extends TType>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.LatencyStatsDataset: Factory method to create a class wrapping a new LatencyStatsDataset operation.
create(Scope, Operand<T>, Operand<T>, LeakyReluGrad.Options...) - Static method in class org.tensorflow.op.data.LeakyReluGrad: Factory method to create a class wrapping a new LeakyReluGrad operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, LegacyParallelInterleaveDataset.Options...) - Static method in class org.tensorflow.op.data.LegacyParallelInterleaveDataset: Factory method to create a class wrapping a new LegacyParallelInterleaveDatasetV2 operation.
create(Scope, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.LMDBDataset: Factory method to create a class wrapping a new LMDBDataset operation.
create(Scope, Operand<TString>, Iterable<Operand<?>>, List<Class<? extends TType>>, List<Shape>, ConcreteFunction, LoadDataset.Options...) - Static method in class org.tensorflow.op.data.LoadDataset: Factory method to create a class wrapping a new LoadDataset operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.MakeIterator: Factory method to create a class wrapping a new MakeIterator operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Operand<TInt64>, Operand<TInt64>, Operand<TBool>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, MapAndBatchDataset.Options...) - Static method in class org.tensorflow.op.data.MapAndBatchDataset: Factory method to create a class wrapping a new MapAndBatchDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, MapDataset.Options...) - Static method in class org.tensorflow.op.data.MapDataset: Factory method to create a class wrapping a new MapDataset operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.data.MatchingFilesDataset: Factory method to create a class wrapping a new MatchingFilesDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.MaxIntraOpParallelismDataset: Factory method to create a class wrapping a new MaxIntraOpParallelismDataset operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, ModelDataset.Options...) - Static method in class org.tensorflow.op.data.ModelDataset: Factory method to create a class wrapping a new ModelDataset operation.
create(Scope, List<String>, String, String, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.MultiDeviceIterator: Factory method to create a class wrapping a new MultiDeviceIterator operation.
create(Scope, Operand<TString>, List<Class<? extends TType>>, MultiDeviceIteratorFromStringHandle.Options...) - Static method in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle: Factory method to create a class wrapping a new MultiDeviceIteratorFromStringHandle operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard: Factory method to create a class wrapping a new MultiDeviceIteratorGetNextFromShard operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt64>) - Static method in class org.tensorflow.op.data.MultiDeviceIteratorInit: Factory method to create a class wrapping a new MultiDeviceIteratorInit operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.MultiDeviceIteratorToStringHandle: Factory method to create a class wrapping a new MultiDeviceIteratorToStringHandle operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.NonSerializableDataset: Factory method to create a class wrapping a new NonSerializableDataset operation.
create(Scope, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, OneShotIterator.Options...) - Static method in class org.tensorflow.op.data.OneShotIterator: Factory method to create a class wrapping a new OneShotIterator operation.
create(Scope, Operand<? extends TType>, Operand<TString>, Operand<TString>, Operand<TString>, List<Class<? extends TType>>, List<Shape>, OptimizeDataset.Options...) - Static method in class org.tensorflow.op.data.OptimizeDataset: Factory method to create a class wrapping a new OptimizeDatasetV2 operation.
create(Scope, Iterable<Operand<?>>) - Static method in class org.tensorflow.op.data.OptionalFromValue: Factory method to create a class wrapping a new OptionalFromValue operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.OptionalGetValue: Factory method to create a class wrapping a new OptionalGetValue operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.OptionalHasValue: Factory method to create a class wrapping a new OptionalHasValue operation.
create(Scope) - Static method in class org.tensorflow.op.data.OptionalNone: Factory method to create a class wrapping a new OptionalNone operation.
create(Scope, Operand<? extends TType>, String, List<Class<? extends TType>>, List<Shape>, OptionsDataset.Options...) - Static method in class org.tensorflow.op.data.OptionsDataset: Factory method to create a class wrapping a new OptionsDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Iterable<Operand<TInt64>>, Iterable<Operand<?>>, Operand<TBool>, List<Shape>, PaddedBatchDataset.Options...) - Static method in class org.tensorflow.op.data.PaddedBatchDataset: Factory method to create a class wrapping a new PaddedBatchDatasetV2 operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, Operand<TBool>, List<Class<? extends TType>>, List<Shape>, ParallelBatchDataset.Options...) - Static method in class org.tensorflow.op.data.ParallelBatchDataset: Factory method to create a class wrapping a new ParallelBatchDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, ParallelInterleaveDataset.Options...) - Static method in class org.tensorflow.op.data.ParallelInterleaveDataset: Factory method to create a class wrapping a new ParallelInterleaveDatasetV4 operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Operand<TInt64>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, ParallelMapDataset.Options...) - Static method in class org.tensorflow.op.data.ParallelMapDataset: Factory method to create a class wrapping a new ParallelMapDatasetV2 operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Iterable<Operand<?>>, List<String>, List<String>, List<Class<? extends TType>>, List<Shape>, List<Class<? extends TType>>, List<Shape>, List<Class<? extends TType>>, List<Class<? extends TNumber>>, ParseExampleDataset.Options...) - Static method in class org.tensorflow.op.data.ParseExampleDataset: Factory method to create a class wrapping a new ParseExampleDatasetV2 operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, PrefetchDataset.Options...) - Static method in class org.tensorflow.op.data.PrefetchDataset: Factory method to create a class wrapping a new PrefetchDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.PrivateThreadPoolDataset: Factory method to create a class wrapping a new PrivateThreadPoolDataset operation.
create(Scope, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, RandomDataset.Options...) - Static method in class org.tensorflow.op.data.RandomDataset: Factory method to create a class wrapping a new RandomDataset operation.
create(Scope, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, RangeDataset.Options...) - Static method in class org.tensorflow.op.data.RangeDataset: Factory method to create a class wrapping a new RangeDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TBool>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.RebatchDatasetV2: Factory method to create a class wrapping a new RebatchDatasetV2 operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, ReduceDataset.Options...) - Static method in class org.tensorflow.op.data.ReduceDataset: Factory method to create a class wrapping a new ReduceDataset operation.
create(Scope, Operand<? extends TType>, Operand<TString>, Operand<TString>, Long, RegisterDataset.Options...) - Static method in class org.tensorflow.op.data.RegisterDataset: Factory method to create a class wrapping a new RegisterDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, RepeatDataset.Options...) - Static method in class org.tensorflow.op.data.RepeatDataset: Factory method to create a class wrapping a new RepeatDataset operation.
create(Scope, Operand<? extends TType>, Operand<TFloat32>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.SamplingDataset: Factory method to create a class wrapping a new SamplingDataset operation.
create(Scope, Operand<? extends TType>, Operand<TString>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, SaveDataset.Options...) - Static method in class org.tensorflow.op.data.SaveDataset: Factory method to create a class wrapping a new SaveDatasetV2 operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, ScanDataset.Options...) - Static method in class org.tensorflow.op.data.ScanDataset: Factory method to create a class wrapping a new ScanDataset operation.
create(Scope, Operand<? extends TType>, SerializeIterator.Options...) - Static method in class org.tensorflow.op.data.SerializeIterator: Factory method to create a class wrapping a new SerializeIterator operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<TString>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.SetStatsAggregatorDataset: Factory method to create a class wrapping a new SetStatsAggregatorDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, ShardDataset.Options...) - Static method in class org.tensorflow.op.data.ShardDataset: Factory method to create a class wrapping a new ShardDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, ShuffleAndRepeatDataset.Options...) - Static method in class org.tensorflow.op.data.ShuffleAndRepeatDataset: Factory method to create a class wrapping a new ShuffleAndRepeatDatasetV2 operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, ShuffleDataset.Options...) - Static method in class org.tensorflow.op.data.ShuffleDataset: Factory method to create a class wrapping a new ShuffleDatasetV3 operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, SkipDataset.Options...) - Static method in class org.tensorflow.op.data.SkipDataset: Factory method to create a class wrapping a new SkipDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.SleepDataset: Factory method to create a class wrapping a new SleepDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.SlidingWindowDataset: Factory method to create a class wrapping a new SlidingWindowDataset operation.
create(Scope, Operand<? extends TType>, Operand<TString>, Iterable<Operand<?>>, Iterable<Operand<?>>, List<Class<? extends TType>>, List<Shape>, ConcreteFunction, ConcreteFunction, SnapshotDataset.Options...) - Static method in class org.tensorflow.op.data.SnapshotDataset: Factory method to create a class wrapping a new SnapshotDatasetV2 operation.
create(Scope, Operand<TString>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, Long, SnapshotDatasetReader.Options...) - Static method in class org.tensorflow.op.data.SnapshotDatasetReader: Factory method to create a class wrapping a new SnapshotDatasetReader operation.
create(Scope, Iterable<Operand<? extends TType>>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.SnapshotNestedDatasetReader: Factory method to create a class wrapping a new SnapshotNestedDatasetReader operation.
create(Scope, Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>) - Static method in class org.tensorflow.op.data.SparseTensorSliceDataset: Factory method to create a class wrapping a new SparseTensorSliceDataset operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.SqlDataset: Factory method to create a class wrapping a new SqlDataset operation.
create(Scope, StatsAggregatorHandle.Options...) - Static method in class org.tensorflow.op.data.StatsAggregatorHandle: Factory method to create a class wrapping a new StatsAggregatorHandleV2 operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.StatsAggregatorSetSummaryWriter: Factory method to create a class wrapping a new StatsAggregatorSetSummaryWriter operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, TakeDataset.Options...) - Static method in class org.tensorflow.op.data.TakeDataset: Factory method to create a class wrapping a new TakeDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, TakeWhileDataset.Options...) - Static method in class org.tensorflow.op.data.TakeWhileDataset: Factory method to create a class wrapping a new TakeWhileDataset operation.
create(Scope, Iterable<Operand<?>>, List<Shape>, TensorDataset.Options...) - Static method in class org.tensorflow.op.data.TensorDataset: Factory method to create a class wrapping a new TensorDataset operation.
create(Scope, Iterable<Operand<?>>, List<Shape>, TensorSliceDataset.Options...) - Static method in class org.tensorflow.op.data.TensorSliceDataset: Factory method to create a class wrapping a new TensorSliceDataset operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TInt64>, TextLineDataset.Options...) - Static method in class org.tensorflow.op.data.TextLineDataset: Factory method to create a class wrapping a new TextLineDataset operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TInt64>, TfRecordDataset.Options...) - Static method in class org.tensorflow.op.data.TfRecordDataset: Factory method to create a class wrapping a new TFRecordDataset operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.ThreadPoolDataset: Factory method to create a class wrapping a new ThreadPoolDataset operation.
create(Scope, Long, String, ThreadPoolHandle.Options...) - Static method in class org.tensorflow.op.data.ThreadPoolHandle: Factory method to create a class wrapping a new ThreadPoolHandle operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, UnbatchDataset.Options...) - Static method in class org.tensorflow.op.data.UnbatchDataset: Factory method to create a class wrapping a new UnbatchDataset operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.UncompressElement: Factory method to create a class wrapping a new UncompressElement operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, UniqueDataset.Options...) - Static method in class org.tensorflow.op.data.UniqueDataset: Factory method to create a class wrapping a new UniqueDataset operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.UnwrapDatasetVariant: Factory method to create a class wrapping a new UnwrapDatasetVariant operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<TBool>, List<Class<? extends TType>>, List<Shape>, WindowDataset.Options...) - Static method in class org.tensorflow.op.data.WindowDataset: Factory method to create a class wrapping a new WindowDataset operation.
create(Scope, Iterable<Operand<?>>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.WindowOp: Factory method to create a class wrapping a new WindowOp operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.WrapDatasetVariant: Factory method to create a class wrapping a new WrapDatasetVariant operation.
create(Scope, Iterable<Operand<? extends TType>>, List<Class<? extends TType>>, List<Shape>, ZipDataset.Options...) - Static method in class org.tensorflow.op.data.ZipDataset: Factory method to create a class wrapping a new ZipDataset operation.
create(Scope, Operand<T>, String) - Static method in class org.tensorflow.op.debugging.CheckNumerics: Factory method to create a class wrapping a new CheckNumericsV2 operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.debugging.DebugGradientIdentity: Factory method to create a class wrapping a new DebugGradientIdentity operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.debugging.DebugGradientRefIdentity: Factory method to create a class wrapping a new DebugGradientRefIdentity operation.
create(Scope, Operand<T>, DebugIdentity.Options...) - Static method in class org.tensorflow.op.debugging.DebugIdentity: Factory method to create a class wrapping a new DebugIdentityV2 operation.
create(Scope, Operand<? extends TType>, DebugNanCount.Options...) - Static method in class org.tensorflow.op.debugging.DebugNanCount: Factory method to create a class wrapping a new DebugNanCount operation.
create(Scope, Operand<? extends TType>, Class, DebugNumericsSummary.Options...) - Static method in class org.tensorflow.op.debugging.DebugNumericsSummary: Factory method to create a class wrapping a new DebugNumericSummaryV2 operation.
create(Scope, Operand<? extends TType>, DebugNumericsSummary.Options[]) - Static method in class org.tensorflow.op.debugging.DebugNumericsSummary: Factory method to create a class wrapping a new DebugNumericSummaryV2 operation, with the default output types.
create(Scope, Operand<T>, String, Long, String) - Static method in class org.tensorflow.op.distribute.NcclAllReduce: Factory method to create a class wrapping a new NcclAllReduce operation.
create(Scope, Operand<T>, Shape) - Static method in class org.tensorflow.op.distribute.NcclBroadcast: Factory method to create a class wrapping a new NcclBroadcast operation.
create(Scope, Iterable<Operand<T>>, String) - Static method in class org.tensorflow.op.distribute.NcclReduce: Factory method to create a class wrapping a new NcclReduce operation.
create(Scope, Operand<? extends TType>, AsString.Options...) - Static method in class org.tensorflow.op.dtypes.AsString: Factory method to create a class wrapping a new AsString operation.
create(Scope, Operand<? extends TType>, Class, Cast.Options...) - Static method in class org.tensorflow.op.dtypes.Cast: Factory method to create a class wrapping a new Cast operation.
create(Scope, Operand<T>, Operand<T>, Class) - Static method in class org.tensorflow.op.dtypes.Complex: Factory method to create a class wrapping a new Complex operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.dtypes.ToBool: Factory method to create a class wrapping a new ToBool operation.
create(Scope, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Long, Long) - Static method in class org.tensorflow.op.estimator.BoostedTreesAggregateStats: Factory method to create a class wrapping a new BoostedTreesAggregateStats operation.
create(Scope, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>) - Static method in class org.tensorflow.op.estimator.BoostedTreesBucketize: Factory method to create a class wrapping a new BoostedTreesBucketize operation.
create(Scope, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, BoostedTreesCalculateBestFeatureSplit.Options...) - Static method in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplit: Factory method to create a class wrapping a new BoostedTreesCalculateBestFeatureSplit operation.
create(Scope, Operand<TInt32>, Iterable<Operand<TFloat32>>, Operand<TString>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long) - Static method in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplitV2: Factory method to create a class wrapping a new BoostedTreesCalculateBestFeatureSplitV2 operation.
create(Scope, Operand<TInt32>, Iterable<Operand<TFloat32>>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long) - Static method in class org.tensorflow.op.estimator.BoostedTreesCalculateBestGainsPerFeature: Factory method to create a class wrapping a new BoostedTreesCalculateBestGainsPerFeature operation.
create(Scope, Operand<? extends TType>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>) - Static method in class org.tensorflow.op.estimator.BoostedTreesCenterBias: Factory method to create a class wrapping a new BoostedTreesCenterBias operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TString>) - Static method in class org.tensorflow.op.estimator.BoostedTreesCreateEnsemble: Factory method to create a class wrapping a new BoostedTreesCreateEnsemble operation.
create(Scope, Operand<? extends TType>, Operand<TFloat32>, Operand<TInt64>, BoostedTreesCreateQuantileStreamResource.Options...) - Static method in class org.tensorflow.op.estimator.BoostedTreesCreateQuantileStreamResource: Factory method to create a class wrapping a new BoostedTreesCreateQuantileStreamResource operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TString>) - Static method in class org.tensorflow.op.estimator.BoostedTreesDeserializeEnsemble: Factory method to create a class wrapping a new BoostedTreesDeserializeEnsemble operation.
create(Scope, BoostedTreesEnsembleResourceHandleOp.Options...) - Static method in class org.tensorflow.op.estimator.BoostedTreesEnsembleResourceHandleOp: Factory method to create a class wrapping a new BoostedTreesEnsembleResourceHandleOp operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<TInt32>>, Long) - Static method in class org.tensorflow.op.estimator.BoostedTreesExampleDebugOutputs: Factory method to create a class wrapping a new BoostedTreesExampleDebugOutputs operation.
create(Scope, Operand<? extends TType>, Long) - Static method in class org.tensorflow.op.estimator.BoostedTreesFlushQuantileSummaries: Factory method to create a class wrapping a new BoostedTreesFlushQuantileSummaries operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.estimator.BoostedTreesGetEnsembleStates: Factory method to create a class wrapping a new BoostedTreesGetEnsembleStates operation.
create(Scope, Iterable<Operand<TFloat32>>, Operand<TFloat32>, Operand<TFloat32>) - Static method in class org.tensorflow.op.estimator.BoostedTreesMakeQuantileSummaries: Factory method to create a class wrapping a new BoostedTreesMakeQuantileSummaries operation.
create(Scope, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, Iterable<Operand<TInt32>>, Long, Long) - Static method in class org.tensorflow.op.estimator.BoostedTreesMakeStatsSummary: Factory method to create a class wrapping a new BoostedTreesMakeStatsSummary operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<TInt32>>, Long) - Static method in class org.tensorflow.op.estimator.BoostedTreesPredict: Factory method to create a class wrapping a new BoostedTreesPredict operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<TFloat32>>) - Static method in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceAddSummaries: Factory method to create a class wrapping a new BoostedTreesQuantileStreamResourceAddSummaries operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<TFloat32>>) - Static method in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceDeserialize: Factory method to create a class wrapping a new BoostedTreesQuantileStreamResourceDeserialize operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, BoostedTreesQuantileStreamResourceFlush.Options...) - Static method in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceFlush: Factory method to create a class wrapping a new BoostedTreesQuantileStreamResourceFlush operation.
create(Scope, Operand<? extends TType>, Long) - Static method in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceGetBucketBoundaries: Factory method to create a class wrapping a new BoostedTreesQuantileStreamResourceGetBucketBoundaries operation.
create(Scope, BoostedTreesQuantileStreamResourceHandleOp.Options...) - Static method in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceHandleOp: Factory method to create a class wrapping a new BoostedTreesQuantileStreamResourceHandleOp operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.estimator.BoostedTreesSerializeEnsemble: Factory method to create a class wrapping a new BoostedTreesSerializeEnsemble operation.
create(Scope, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Long, Long) - Static method in class org.tensorflow.op.estimator.BoostedTreesSparseAggregateStats: Factory method to create a class wrapping a new BoostedTreesSparseAggregateStats operation.
create(Scope, Operand<TInt32>, Operand<TInt32>, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, BoostedTreesSparseCalculateBestFeatureSplit.Options...) - Static method in class org.tensorflow.op.estimator.BoostedTreesSparseCalculateBestFeatureSplit: Factory method to create a class wrapping a new BoostedTreesSparseCalculateBestFeatureSplit operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Operand<TInt32>, Iterable<Operand<TInt32>>, Long) - Static method in class org.tensorflow.op.estimator.BoostedTreesTrainingPredict: Factory method to create a class wrapping a new BoostedTreesTrainingPredict operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Iterable<Operand<TInt32>>, Iterable<Operand<TFloat32>>, Iterable<Operand<TInt32>>, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>, Operand<TInt32>, Operand<TFloat32>, Long) - Static method in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsemble: Factory method to create a class wrapping a new BoostedTreesUpdateEnsemble operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<TInt32>>, Iterable<Operand<TInt32>>, Iterable<Operand<TInt32>>, Iterable<Operand<TFloat32>>, Iterable<Operand<TInt32>>, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>, Iterable<Operand<TString>>, Operand<TInt32>, Operand<TFloat32>, Operand<TInt32>, BoostedTreesUpdateEnsembleV2.Options...) - Static method in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsembleV2: Factory method to create a class wrapping a new BoostedTreesUpdateEnsembleV2 operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.estimator.IsBoostedTreesEnsembleInitialized: Factory method to create a class wrapping a new IsBoostedTreesEnsembleInitialized operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.estimator.IsBoostedTreesQuantileStreamResourceInitialized: Factory method to create a class wrapping a new IsBoostedTreesQuantileStreamResourceInitialized operation.
create(Scope, Operand<T>, Operand<TFloat32>) - Static method in class org.tensorflow.op.image.AdjustContrast: Factory method to create a class wrapping a new AdjustContrastv2 operation.
create(Scope, Operand<T>, Operand<TFloat32>) - Static method in class org.tensorflow.op.image.AdjustHue: Factory method to create a class wrapping a new AdjustHue operation.
create(Scope, Operand<T>, Operand<TFloat32>) - Static method in class org.tensorflow.op.image.AdjustSaturation: Factory method to create a class wrapping a new AdjustSaturation operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, CombinedNonMaxSuppression.Options...) - Static method in class org.tensorflow.op.image.CombinedNonMaxSuppression: Factory method to create a class wrapping a new CombinedNonMaxSuppression operation.
create(Scope, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TInt32>, Operand<TInt32>, CropAndResize.Options...) - Static method in class org.tensorflow.op.image.CropAndResize: Factory method to create a class wrapping a new CropAndResize operation.
create(Scope, Operand<TFloat32>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TInt32>, CropAndResizeGradBoxes.Options...) - Static method in class org.tensorflow.op.image.CropAndResizeGradBoxes: Factory method to create a class wrapping a new CropAndResizeGradBoxes operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Operand<TInt32>, Class<T>, CropAndResizeGradImage.Options...) - Static method in class org.tensorflow.op.image.CropAndResizeGradImage: Factory method to create a class wrapping a new CropAndResizeGradImage operation.
create(Scope, Operand<TString>, Operand<TInt32>, DecodeAndCropJpeg.Options...) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg: Factory method to create a class wrapping a new DecodeAndCropJpeg operation.
create(Scope, Operand<TString>, DecodeBmp.Options...) - Static method in class org.tensorflow.op.image.DecodeBmp: Factory method to create a class wrapping a new DecodeBmp operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.image.DecodeGif: Factory method to create a class wrapping a new DecodeGif operation.
create(Scope, Operand<TString>, Class<T>, DecodeImage.Options...) - Static method in class org.tensorflow.op.image.DecodeImage: Factory method to create a class wrapping a new DecodeImage operation.
create(Scope, Operand<TString>, DecodeImage.Options[]) - Static method in class org.tensorflow.op.image.DecodeImage: Factory method to create a class wrapping a new DecodeImage operation, with the default output types.
create(Scope, Operand<TString>, DecodeJpeg.Options...) - Static method in class org.tensorflow.op.image.DecodeJpeg: Factory method to create a class wrapping a new DecodeJpeg operation.
create(Scope, Operand<TString>, Class<T>, DecodePng.Options...) - Static method in class org.tensorflow.op.image.DecodePng: Factory method to create a class wrapping a new DecodePng operation.
create(Scope, Operand<TString>, DecodePng.Options[]) - Static method in class org.tensorflow.op.image.DecodePng: Factory method to create a class wrapping a new DecodePng operation, with the default output types.
create(Scope, Operand<T>, Operand<TFloat32>, Operand<TFloat32>) - Static method in class org.tensorflow.op.image.DrawBoundingBoxes: Factory method to create a class wrapping a new DrawBoundingBoxesV2 operation.
create(Scope, Operand<TUint8>, EncodeJpeg.Options...) - Static method in class org.tensorflow.op.image.EncodeJpeg: Factory method to create a class wrapping a new EncodeJpeg operation.
create(Scope, Operand<TUint8>, Operand<TInt32>) - Static method in class org.tensorflow.op.image.EncodeJpegVariableQuality: Factory method to create a class wrapping a new EncodeJpegVariableQuality operation.
create(Scope, Operand<? extends TNumber>, EncodePng.Options...) - Static method in class org.tensorflow.op.image.EncodePng: Factory method to create a class wrapping a new EncodePng operation.
create(Scope, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, ExtractGlimpse.Options...) - Static method in class org.tensorflow.op.image.ExtractGlimpse: Factory method to create a class wrapping a new ExtractGlimpseV2 operation.
create(Scope, Operand<T>, List<Long>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.image.ExtractImagePatches: Factory method to create a class wrapping a new ExtractImagePatches operation.
create(Scope, Operand<TString>, Class<T>) - Static method in class org.tensorflow.op.image.ExtractJpegShape: Factory method to create a class wrapping a new ExtractJpegShape operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.image.ExtractJpegShape: Factory method to create a class wrapping a new ExtractJpegShape operation, with the default output types.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, GenerateBoundingBoxProposals.Options...) - Static method in class org.tensorflow.op.image.GenerateBoundingBoxProposals: Factory method to create a class wrapping a new GenerateBoundingBoxProposals operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.image.HsvToRgb: Factory method to create a class wrapping a new HSVToRGB operation.
create(Scope, Operand<T>, Operand<TFloat32>, Operand<TInt32>, String, ImageProjectiveTransformV2.Options...) - Static method in class org.tensorflow.op.image.ImageProjectiveTransformV2: Factory method to create a class wrapping a new ImageProjectiveTransformV2 operation.
create(Scope, Operand<T>, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, String, ImageProjectiveTransformV3.Options...) - Static method in class org.tensorflow.op.image.ImageProjectiveTransformV3: Factory method to create a class wrapping a new ImageProjectiveTransformV3 operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt64>) - Static method in class org.tensorflow.op.image.NearestNeighbors: Factory method to create a class wrapping a new NearestNeighbors operation.
create(Scope, Operand<T>, Operand<T>, Operand<TInt32>, Operand<T>, Operand<T>, Operand<T>, NonMaxSuppression.Options...) - Static method in class org.tensorflow.op.image.NonMaxSuppression: Factory method to create a class wrapping a new NonMaxSuppressionV5 operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>) - Static method in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps: Factory method to create a class wrapping a new NonMaxSuppressionWithOverlaps operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, QuantizedResizeBilinear.Options...) - Static method in class org.tensorflow.op.image.QuantizedResizeBilinear: Factory method to create a class wrapping a new QuantizedResizeBilinear operation.
create(Scope, Operand<T>, Operand<TInt64>, RandomCrop.Options...) - Static method in class org.tensorflow.op.image.RandomCrop: Factory method to create a class wrapping a new RandomCrop operation.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, ResizeArea.Options...) - Static method in class org.tensorflow.op.image.ResizeArea: Factory method to create a class wrapping a new ResizeArea operation.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, ResizeBicubic.Options...) - Static method in class org.tensorflow.op.image.ResizeBicubic: Factory method to create a class wrapping a new ResizeBicubic operation.
create(Scope, Operand<TFloat32>, Operand<T>, ResizeBicubicGrad.Options...) - Static method in class org.tensorflow.op.image.ResizeBicubicGrad: Factory method to create a class wrapping a new ResizeBicubicGrad operation.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, ResizeBilinear.Options...) - Static method in class org.tensorflow.op.image.ResizeBilinear: Factory method to create a class wrapping a new ResizeBilinear operation.
create(Scope, Operand<TFloat32>, Operand<T>, ResizeBilinearGrad.Options...) - Static method in class org.tensorflow.op.image.ResizeBilinearGrad: Factory method to create a class wrapping a new ResizeBilinearGrad operation.
create(Scope, Operand<T>, Operand<TInt32>, ResizeNearestNeighbor.Options...) - Static method in class org.tensorflow.op.image.ResizeNearestNeighbor: Factory method to create a class wrapping a new ResizeNearestNeighbor operation.
create(Scope, Operand<T>, Operand<TInt32>, ResizeNearestNeighborGrad.Options...) - Static method in class org.tensorflow.op.image.ResizeNearestNeighborGrad: Factory method to create a class wrapping a new ResizeNearestNeighborGrad operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.image.RgbToHsv: Factory method to create a class wrapping a new RGBToHSV operation.
create(Scope, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, SampleDistortedBoundingBox.Options...) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Factory method to create a class wrapping a new SampleDistortedBoundingBoxV2 operation.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, ScaleAndTranslate.Options...) - Static method in class org.tensorflow.op.image.ScaleAndTranslate: Factory method to create a class wrapping a new ScaleAndTranslate operation.
create(Scope, Operand<T>, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, ScaleAndTranslateGrad.Options...) - Static method in class org.tensorflow.op.image.ScaleAndTranslateGrad: Factory method to create a class wrapping a new ScaleAndTranslateGrad operation.
create(Scope, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, Operand<? extends TNumber>, StatelessSampleDistortedBoundingBox.Options...) - Static method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Factory method to create a class wrapping a new StatelessSampleDistortedBoundingBox operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.io.DecodeBase64: Factory method to create a class wrapping a new DecodeBase64 operation.
create(Scope, Operand<TString>, DecodeCompressed.Options...) - Static method in class org.tensorflow.op.io.DecodeCompressed: Factory method to create a class wrapping a new DecodeCompressed operation.
create(Scope, Operand<TString>, Iterable<Operand<?>>, DecodeCsv.Options...) - Static method in class org.tensorflow.op.io.DecodeCsv: Factory method to create a class wrapping a new DecodeCSV operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.io.DecodeJsonExample: Factory method to create a class wrapping a new DecodeJSONExample operation.
create(Scope, Operand<TString>, Operand<TInt32>, Class<T>, DecodePaddedRaw.Options...) - Static method in class org.tensorflow.op.io.DecodePaddedRaw: Factory method to create a class wrapping a new DecodePaddedRaw operation.
create(Scope, Operand<TString>, Class<T>, DecodeRaw.Options...) - Static method in class org.tensorflow.op.io.DecodeRaw: Factory method to create a class wrapping a new DecodeRaw operation.
create(Scope, Operand<TString>, Class<T>) - Static method in class org.tensorflow.op.io.DeserializeManySparse: Factory method to create a class wrapping a new DeserializeManySparse operation.
create(Scope, Operand<TString>, EncodeBase64.Options...) - Static method in class org.tensorflow.op.io.EncodeBase64: Factory method to create a class wrapping a new EncodeBase64 operation.
create(Scope, List<Class<? extends TType>>, FifoQueue.Options...) - Static method in class org.tensorflow.op.io.FifoQueue: Factory method to create a class wrapping a new FIFOQueueV2 operation.
create(Scope, Long, FixedLengthRecordReader.Options...) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader: Factory method to create a class wrapping a new FixedLengthRecordReaderV2 operation.
create(Scope, IdentityReader.Options...) - Static method in class org.tensorflow.op.io.IdentityReader: Factory method to create a class wrapping a new IdentityReaderV2 operation.
create(Scope, LmdbReader.Options...) - Static method in class org.tensorflow.op.io.LmdbReader: Factory method to create a class wrapping a new LMDBReader operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.io.MatchingFiles: Factory method to create a class wrapping a new MatchingFiles operation.
create(Scope, List<Class<? extends TType>>, PaddingFifoQueue.Options...) - Static method in class org.tensorflow.op.io.PaddingFifoQueue: Factory method to create a class wrapping a new PaddingFIFOQueueV2 operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Iterable<Operand<?>>, Long, List<Class<? extends TType>>, List<Class<? extends TType>>, List<Class<? extends TNumber>>, List<Shape>) - Static method in class org.tensorflow.op.io.ParseExample: Factory method to create a class wrapping a new ParseExampleV2 operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TBool>, Iterable<Operand<?>>, List<Class<? extends TType>>, List<Class<? extends TType>>, List<Class<? extends TNumber>>, List<Class<? extends TType>>, List<Class<? extends TType>>, List<Class<? extends TType>>, List<Class<? extends TNumber>>, ParseSequenceExample.Options...) - Static method in class org.tensorflow.op.io.ParseSequenceExample: Factory method to create a class wrapping a new ParseSequenceExampleV2 operation.
create(Scope, Operand<TString>, Iterable<Operand<?>>, Long, List<String>, List<String>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.io.ParseSingleExample: Factory method to create a class wrapping a new ParseSingleExample operation.
create(Scope, Operand<TString>, Operand<TString>, Iterable<Operand<TString>>, Iterable<Operand<TString>>, Iterable<Operand<TString>>, Iterable<Operand<TString>>, Iterable<Operand<?>>, Operand<TString>, List<Class<? extends TType>>, List<Class<? extends TType>>, List<Class<? extends TType>>, ParseSingleSequenceExample.Options...) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample: Factory method to create a class wrapping a new ParseSingleSequenceExample operation.
create(Scope, Operand<TString>, Class<T>) - Static method in class org.tensorflow.op.io.ParseTensor: Factory method to create a class wrapping a new ParseTensor operation.
create(Scope, List<Class<? extends TType>>, List<Shape>, PriorityQueue.Options...) - Static method in class org.tensorflow.op.io.PriorityQueue: Factory method to create a class wrapping a new PriorityQueueV2 operation.
create(Scope, Operand<? extends TType>, QueueClose.Options...) - Static method in class org.tensorflow.op.io.QueueClose: Factory method to create a class wrapping a new QueueCloseV2 operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, QueueDequeue.Options...) - Static method in class org.tensorflow.op.io.QueueDequeue: Factory method to create a class wrapping a new QueueDequeueV2 operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, List<Class<? extends TType>>, QueueDequeueMany.Options...) - Static method in class org.tensorflow.op.io.QueueDequeueMany: Factory method to create a class wrapping a new QueueDequeueManyV2 operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, List<Class<? extends TType>>, QueueDequeueUpTo.Options...) - Static method in class org.tensorflow.op.io.QueueDequeueUpTo: Factory method to create a class wrapping a new QueueDequeueUpToV2 operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, QueueEnqueue.Options...) - Static method in class org.tensorflow.op.io.QueueEnqueue: Factory method to create a class wrapping a new QueueEnqueueV2 operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, QueueEnqueueMany.Options...) - Static method in class org.tensorflow.op.io.QueueEnqueueMany: Factory method to create a class wrapping a new QueueEnqueueManyV2 operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.io.QueueIsClosed: Factory method to create a class wrapping a new QueueIsClosedV2 operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.io.QueueSize: Factory method to create a class wrapping a new QueueSizeV2 operation.
create(Scope, List<Class<? extends TType>>, RandomShuffleQueue.Options...) - Static method in class org.tensorflow.op.io.RandomShuffleQueue: Factory method to create a class wrapping a new RandomShuffleQueueV2 operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.io.ReaderNumRecordsProduced: Factory method to create a class wrapping a new ReaderNumRecordsProducedV2 operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.io.ReaderNumWorkUnitsCompleted: Factory method to create a class wrapping a new ReaderNumWorkUnitsCompletedV2 operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.io.ReaderRead: Factory method to create a class wrapping a new ReaderReadV2 operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt64>) - Static method in class org.tensorflow.op.io.ReaderReadUpTo: Factory method to create a class wrapping a new ReaderReadUpToV2 operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.io.ReaderReset: Factory method to create a class wrapping a new ReaderResetV2 operation.
create(Scope, Operand<? extends TType>, Operand<TString>) - Static method in class org.tensorflow.op.io.ReaderRestoreState: Factory method to create a class wrapping a new ReaderRestoreStateV2 operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.io.ReaderSerializeState: Factory method to create a class wrapping a new ReaderSerializeStateV2 operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.io.ReadFile: Factory method to create a class wrapping a new ReadFile operation.
create(Scope, Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>, Class) - Static method in class org.tensorflow.op.io.SerializeManySparse: Factory method to create a class wrapping a new SerializeManySparse operation.
create(Scope, Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>) - Static method in class org.tensorflow.op.io.SerializeManySparse: Factory method to create a class wrapping a new SerializeManySparse operation, with the default output types.
create(Scope, Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>, Class) - Static method in class org.tensorflow.op.io.SerializeSparse: Factory method to create a class wrapping a new SerializeSparse operation.
create(Scope, Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>) - Static method in class org.tensorflow.op.io.SerializeSparse: Factory method to create a class wrapping a new SerializeSparse operation, with the default output types.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.io.SerializeTensor: Factory method to create a class wrapping a new SerializeTensor operation.
create(Scope, Operand<TString>, Operand<TInt32>, Operand<TInt32>) - Static method in class org.tensorflow.op.io.ShardedFilename: Factory method to create a class wrapping a new ShardedFilename operation.
create(Scope, Operand<TString>, Operand<TInt32>) - Static method in class org.tensorflow.op.io.ShardedFilespec: Factory method to create a class wrapping a new ShardedFilespec operation.
create(Scope, TextLineReader.Options...) - Static method in class org.tensorflow.op.io.TextLineReader: Factory method to create a class wrapping a new TextLineReaderV2 operation.
create(Scope, TfRecordReader.Options...) - Static method in class org.tensorflow.op.io.TfRecordReader: Factory method to create a class wrapping a new TFRecordReaderV2 operation.
create(Scope, WholeFileReader.Options...) - Static method in class org.tensorflow.op.io.WholeFileReader: Factory method to create a class wrapping a new WholeFileReaderV2 operation.
create(Scope, Operand<TString>, Operand<TString>) - Static method in class org.tensorflow.op.io.WriteFile: Factory method to create a class wrapping a new WriteFile operation.
create(Scope, Operand<T>, Operand<T>, BandedTriangularSolve.Options...) - Static method in class org.tensorflow.op.linalg.BandedTriangularSolve: Factory method to create a class wrapping a new BandedTriangularSolve operation.
create(Scope, Operand<T>, Operand, Operand) - Static method in class org.tensorflow.op.linalg.BandPart: Factory method to create a class wrapping a new MatrixBandPart operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.BatchCholesky: Factory method to create a class wrapping a new BatchCholesky operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.linalg.BatchCholeskyGrad: Factory method to create a class wrapping a new BatchCholeskyGrad operation.
create(Scope, Operand<T>, Operand<TInt64>, Operand<TInt64>) - Static method in class org.tensorflow.op.linalg.BatchMatrixBandPart: Factory method to create a class wrapping a new BatchMatrixBandPart operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.BatchMatrixDeterminant: Factory method to create a class wrapping a new BatchMatrixDeterminant operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.BatchMatrixDiag: Factory method to create a class wrapping a new BatchMatrixDiag operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.BatchMatrixDiagPart: Factory method to create a class wrapping a new BatchMatrixDiagPart operation.
create(Scope, Operand<T>, BatchMatrixInverse.Options...) - Static method in class org.tensorflow.op.linalg.BatchMatrixInverse: Factory method to create a class wrapping a new BatchMatrixInverse operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.linalg.BatchMatrixSetDiag: Factory method to create a class wrapping a new BatchMatrixSetDiag operation.
create(Scope, Operand<T>, Operand<T>, BatchMatrixSolve.Options...) - Static method in class org.tensorflow.op.linalg.BatchMatrixSolve: Factory method to create a class wrapping a new BatchMatrixSolve operation.
create(Scope, Operand<T>, Operand<T>, Operand<TFloat64>, BatchMatrixSolveLs.Options...) - Static method in class org.tensorflow.op.linalg.BatchMatrixSolveLs: Factory method to create a class wrapping a new BatchMatrixSolveLs operation.
create(Scope, Operand<T>, Operand<T>, BatchMatrixTriangularSolve.Options...) - Static method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve: Factory method to create a class wrapping a new BatchMatrixTriangularSolve operation.
create(Scope, Operand<T>, BatchSelfAdjointEig.Options...) - Static method in class org.tensorflow.op.linalg.BatchSelfAdjointEig: Factory method to create a class wrapping a new BatchSelfAdjointEigV2 operation.
create(Scope, Operand<T>, BatchSvd.Options...) - Static method in class org.tensorflow.op.linalg.BatchSvd: Factory method to create a class wrapping a new BatchSvd operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.Cholesky: Factory method to create a class wrapping a new Cholesky operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.linalg.CholeskyGrad: Factory method to create a class wrapping a new CholeskyGrad operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.linalg.ConjugateTranspose: Factory method to create a class wrapping a new ConjugateTranspose operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.linalg.Cross: Factory method to create a class wrapping a new Cross operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.Det: Factory method to create a class wrapping a new MatrixDeterminant operation.
create(Scope, Operand<? extends TType>, Class, Eig.Options...) - Static method in class org.tensorflow.op.linalg.Eig: Factory method to create a class wrapping a new Eig operation.
create(Scope, Iterable<Operand<T>>, String) - Static method in class org.tensorflow.op.linalg.Einsum: Factory method to create a class wrapping a new Einsum operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, EuclideanNorm.Options...) - Static method in class org.tensorflow.op.linalg.EuclideanNorm: Factory method to create a class wrapping a new EuclideanNorm operation.
create(Scope, Operand<T>, Inv.Options...) - Static method in class org.tensorflow.op.linalg.Inv: Factory method to create a class wrapping a new MatrixInverse operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TInt64>, Operand<TInt64>, Operand<TFloat32>, Long, Long, LoadAndRemapMatrix.Options...) - Static method in class org.tensorflow.op.linalg.LoadAndRemapMatrix: Factory method to create a class wrapping a new LoadAndRemapMatrix operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.LogMatrixDeterminant: Factory method to create a class wrapping a new LogMatrixDeterminant operation.
create(Scope, Operand<T>, Class) - Static method in class org.tensorflow.op.linalg.Lu: Factory method to create a class wrapping a new Lu operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.Lu: Factory method to create a class wrapping a new Lu operation, with the default output types.
create(Scope, Operand<T>, Operand<T>, MatMul.Options...) - Static method in class org.tensorflow.op.linalg.MatMul: Factory method to create a class wrapping a new MatMul operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Operand<T>) - Static method in class org.tensorflow.op.linalg.MatrixDiag: Factory method to create a class wrapping a new MatrixDiagV2 operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<T>) - Static method in class org.tensorflow.op.linalg.MatrixDiagPart: Factory method to create a class wrapping a new MatrixDiagPartV2 operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<T>, MatrixDiagPartV3.Options...) - Static method in class org.tensorflow.op.linalg.MatrixDiagPartV3: Factory method to create a class wrapping a new MatrixDiagPartV3 operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Operand<T>, MatrixDiagV3.Options...) - Static method in class org.tensorflow.op.linalg.MatrixDiagV3: Factory method to create a class wrapping a new MatrixDiagV3 operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.MatrixLogarithm: Factory method to create a class wrapping a new MatrixLogarithm operation.
create(Scope, Operand<T>, Operand<T>, Operand<TInt32>, MatrixSetDiag.Options...) - Static method in class org.tensorflow.op.linalg.MatrixSetDiag: Factory method to create a class wrapping a new MatrixSetDiagV3 operation.
create(Scope, Operand<T>, Operand<T>, Operand<TFloat64>, MatrixSolveLs.Options...) - Static method in class org.tensorflow.op.linalg.MatrixSolveLs: Factory method to create a class wrapping a new MatrixSolveLs operation.
create(Scope, Operand<T>, Qr.Options...) - Static method in class org.tensorflow.op.linalg.Qr: Factory method to create a class wrapping a new Qr operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, Class<W>, QuantizedMatMul.Options...) - Static method in class org.tensorflow.op.linalg.QuantizedMatMul: Factory method to create a class wrapping a new QuantizedMatMul operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<W>, QuantizedMatMulWithBias.Options...) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias: Factory method to create a class wrapping a new QuantizedMatMulWithBias operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, QuantizedMatMulWithBiasAndRelu.Options...) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu: Factory method to create a class wrapping a new QuantizedMatMulWithBiasAndRelu operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<W>, QuantizedMatMulWithBiasAndReluAndRequantize.Options...) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize: Factory method to create a class wrapping a new QuantizedMatMulWithBiasAndReluAndRequantize operation.
create(Scope, Operand<T>, SelfAdjointEig.Options...) - Static method in class org.tensorflow.op.linalg.SelfAdjointEig: Factory method to create a class wrapping a new SelfAdjointEigV2 operation.
create(Scope, Operand<T>, Operand<T>, Solve.Options...) - Static method in class org.tensorflow.op.linalg.Solve: Factory method to create a class wrapping a new MatrixSolve operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Class<T>) - Static method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents: Factory method to create a class wrapping a new CSRSparseMatrixComponents operation.
create(Scope, Operand<? extends TType>, Class<T>) - Static method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToDense: Factory method to create a class wrapping a new CSRSparseMatrixToDense operation.
create(Scope, Operand<? extends TType>, Class<T>) - Static method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToSparseTensor: Factory method to create a class wrapping a new CSRSparseMatrixToSparseTensor operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>) - Static method in class org.tensorflow.op.linalg.sparse.DenseToCSRSparseMatrix: Factory method to create a class wrapping a new DenseToCSRSparseMatrix operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixAdd: Factory method to create a class wrapping a new SparseMatrixAdd operation.
create(Scope, Operand<? extends TType>, Operand<T>, SparseMatrixMatMul.Options...) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul: Factory method to create a class wrapping a new SparseMatrixMatMul operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixMul: Factory method to create a class wrapping a new SparseMatrixMul operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixNNZ: Factory method to create a class wrapping a new SparseMatrixNNZ operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixOrderingAMD: Factory method to create a class wrapping a new SparseMatrixOrderingAMD operation.
create(Scope, Operand<? extends TType>, Class<T>) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmax: Factory method to create a class wrapping a new SparseMatrixSoftmax operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Class<T>) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmaxGrad: Factory method to create a class wrapping a new SparseMatrixSoftmaxGrad operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Class<T>) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseCholesky: Factory method to create a class wrapping a new SparseMatrixSparseCholesky operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Class<T>, SparseMatrixSparseMatMul.Options...) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul: Factory method to create a class wrapping a new SparseMatrixSparseMatMul operation.
create(Scope, Operand<? extends TType>, Class<T>, SparseMatrixTranspose.Options...) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose: Factory method to create a class wrapping a new SparseMatrixTranspose operation.
create(Scope, Operand<TInt64>, Class<T>) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixZeros: Factory method to create a class wrapping a new SparseMatrixZeros operation.
create(Scope, Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>) - Static method in class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix: Factory method to create a class wrapping a new SparseTensorToCSRSparseMatrix operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.Sqrtm: Factory method to create a class wrapping a new MatrixSquareRoot operation.
create(Scope, Operand<T>, Svd.Options...) - Static method in class org.tensorflow.op.linalg.Svd: Factory method to create a class wrapping a new Svd operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.TensorDiag: Factory method to create a class wrapping a new Diag operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.TensorDiagPart: Factory method to create a class wrapping a new DiagPart operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.linalg.Transpose: Factory method to create a class wrapping a new Transpose operation.
create(Scope, Operand<T>, Operand<T>, TriangularSolve.Options...) - Static method in class org.tensorflow.op.linalg.TriangularSolve: Factory method to create a class wrapping a new MatrixTriangularSolve operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.linalg.TridiagonalMatMul: Factory method to create a class wrapping a new TridiagonalMatMul operation.
create(Scope, Operand<T>, Operand<T>, TridiagonalSolve.Options...) - Static method in class org.tensorflow.op.linalg.TridiagonalSolve: Factory method to create a class wrapping a new TridiagonalSolve operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Abs: Factory method to create a class wrapping a new Abs operation.
create(Scope, Iterable<Operand<T>>, Shape) - Static method in class org.tensorflow.op.math.AccumulateN: Factory method to create a class wrapping a new AccumulateNV2 operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Acos: Factory method to create a class wrapping a new Acos operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Acosh: Factory method to create a class wrapping a new Acosh operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Add: Factory method to create a class wrapping a new Add operation.
create(Scope, Iterable<Operand<T>>) - Static method in class org.tensorflow.op.math.AddN: Factory method to create a class wrapping a new AddN operation.
create(Scope, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.math.Angle: Factory method to create a class wrapping a new Angle operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.math.Angle: Factory method to create a class wrapping a new Angle operation, with the default output types.
create(Scope, Operand<T>, Operand<T>, ApproximateEqual.Options...) - Static method in class org.tensorflow.op.math.ApproximateEqual: Factory method to create a class wrapping a new ApproximateEqual operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Class<V>) - Static method in class org.tensorflow.op.math.ArgMax: Factory method to create a class wrapping a new ArgMax operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.ArgMax: Factory method to create a class wrapping a new ArgMax operation, with the default output types.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Class<V>) - Static method in class org.tensorflow.op.math.ArgMin: Factory method to create a class wrapping a new ArgMin operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.ArgMin: Factory method to create a class wrapping a new ArgMin operation, with the default output types.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Asin: Factory method to create a class wrapping a new Asin operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Asinh: Factory method to create a class wrapping a new Asinh operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Atan: Factory method to create a class wrapping a new Atan operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Atan2: Factory method to create a class wrapping a new Atan2 operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Atanh: Factory method to create a class wrapping a new Atanh operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.BesselI0: Factory method to create a class wrapping a new BesselI0 operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.BesselI0e: Factory method to create a class wrapping a new BesselI0e operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.BesselI1: Factory method to create a class wrapping a new BesselI1 operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.BesselI1e: Factory method to create a class wrapping a new BesselI1e operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Betainc: Factory method to create a class wrapping a new Betainc operation.
create(Scope, Operand<TInt32>, Operand<TInt32>, Operand<T>) - Static method in class org.tensorflow.op.math.Bincount: Factory method to create a class wrapping a new Bincount operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Ceil: Factory method to create a class wrapping a new Ceil operation.
create(Scope, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.math.ComplexAbs: Factory method to create a class wrapping a new ComplexAbs operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.math.ComplexAbs: Factory method to create a class wrapping a new ComplexAbs operation, with the default output types.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Conj: Factory method to create a class wrapping a new Conj operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Cos: Factory method to create a class wrapping a new Cos operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Cosh: Factory method to create a class wrapping a new Cosh operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Cumprod.Options...) - Static method in class org.tensorflow.op.math.Cumprod: Factory method to create a class wrapping a new Cumprod operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Cumsum.Options...) - Static method in class org.tensorflow.op.math.Cumsum: Factory method to create a class wrapping a new Cumsum operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, CumulativeLogsumexp.Options...) - Static method in class org.tensorflow.op.math.CumulativeLogsumexp: Factory method to create a class wrapping a new CumulativeLogsumexp operation.
create(Scope, Operand<T>, Operand<T>, Operand, DenseBincount.Options...) - Static method in class org.tensorflow.op.math.DenseBincount: Factory method to create a class wrapping a new DenseBincount operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Digamma: Factory method to create a class wrapping a new Digamma operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Div: Factory method to create a class wrapping a new Div operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.DivNoNan: Factory method to create a class wrapping a new DivNoNan operation.
create(Scope, Operand<T>, Operand<T>, Equal.Options...) - Static method in class org.tensorflow.op.math.Equal: Factory method to create a class wrapping a new Equal operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Erf: Factory method to create a class wrapping a new Erf operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Erfc: Factory method to create a class wrapping a new Erfc operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.erfinv: Factory method to create a class wrapping a new Erfinv operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Exp: Factory method to create a class wrapping a new Exp operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Expm1: Factory method to create a class wrapping a new Expm1 operation.
create(Scope) - Static method in class org.tensorflow.op.math.Fact: Factory method to create a class wrapping a new Fact operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Floor: Factory method to create a class wrapping a new Floor operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.FloorDiv: Factory method to create a class wrapping a new FloorDiv operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.FloorMod: Factory method to create a class wrapping a new FloorMod operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Greater: Factory method to create a class wrapping a new Greater operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.GreaterEqual: Factory method to create a class wrapping a new GreaterEqual operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Igamma: Factory method to create a class wrapping a new Igamma operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Igammac: Factory method to create a class wrapping a new Igammac operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.IgammaGradA: Factory method to create a class wrapping a new IgammaGradA operation.
create(Scope, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.math.Imag: Factory method to create a class wrapping a new Imag operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.math.Imag: Factory method to create a class wrapping a new Imag operation, with the default output types.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.InvertPermutation: Factory method to create a class wrapping a new InvertPermutation operation.
create(Scope, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.IsFinite: Factory method to create a class wrapping a new IsFinite operation.
create(Scope, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.IsInf: Factory method to create a class wrapping a new IsInf operation.
create(Scope, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.IsNan: Factory method to create a class wrapping a new IsNan operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Less: Factory method to create a class wrapping a new Less operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.LessEqual: Factory method to create a class wrapping a new LessEqual operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Lgamma: Factory method to create a class wrapping a new Lgamma operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Log: Factory method to create a class wrapping a new Log operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Log1p: Factory method to create a class wrapping a new Log1p operation.
create(Scope, Operand<TBool>, Operand<TBool>) - Static method in class org.tensorflow.op.math.LogicalAnd: Factory method to create a class wrapping a new LogicalAnd operation.
create(Scope, Operand<TBool>) - Static method in class org.tensorflow.op.math.LogicalNot: Factory method to create a class wrapping a new LogicalNot operation.
create(Scope, Operand<TBool>, Operand<TBool>) - Static method in class org.tensorflow.op.math.LogicalOr: Factory method to create a class wrapping a new LogicalOr operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Maximum: Factory method to create a class wrapping a new Maximum operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Mean.Options...) - Static method in class org.tensorflow.op.math.Mean: Factory method to create a class wrapping a new Mean operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Minimum: Factory method to create a class wrapping a new Minimum operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Mod: Factory method to create a class wrapping a new Mod operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Mul: Factory method to create a class wrapping a new Mul operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.MulNoNan: Factory method to create a class wrapping a new MulNoNan operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Ndtri: Factory method to create a class wrapping a new Ndtri operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Neg: Factory method to create a class wrapping a new Neg operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.NextAfter: Factory method to create a class wrapping a new NextAfter operation.
create(Scope, Operand<T>, Operand<T>, NotEqual.Options...) - Static method in class org.tensorflow.op.math.NotEqual: Factory method to create a class wrapping a new NotEqual operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Polygamma: Factory method to create a class wrapping a new Polygamma operation.
create(Scope, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.PopulationCount: Factory method to create a class wrapping a new PopulationCount operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Pow: Factory method to create a class wrapping a new Pow operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>) - Static method in class org.tensorflow.op.math.QuantizedAdd: Factory method to create a class wrapping a new QuantizedAdd operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>) - Static method in class org.tensorflow.op.math.QuantizedMul: Factory method to create a class wrapping a new QuantizedMul operation.
create(Scope, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.math.Real: Factory method to create a class wrapping a new Real operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.math.Real: Factory method to create a class wrapping a new Real operation, with the default output types.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.RealDiv: Factory method to create a class wrapping a new RealDiv operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Reciprocal: Factory method to create a class wrapping a new Reciprocal operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.ReciprocalGrad: Factory method to create a class wrapping a new ReciprocalGrad operation.
create(Scope, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Float) - Static method in class org.tensorflow.op.math.RequantizationRangePerChannel: Factory method to create a class wrapping a new RequantizationRangePerChannel operation.
create(Scope, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class) - Static method in class org.tensorflow.op.math.RequantizePerChannel: Factory method to create a class wrapping a new RequantizePerChannel operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Rint: Factory method to create a class wrapping a new Rint operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Round: Factory method to create a class wrapping a new Round operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Rsqrt: Factory method to create a class wrapping a new Rsqrt operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.RsqrtGrad: Factory method to create a class wrapping a new RsqrtGrad operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.SegmentMax: Factory method to create a class wrapping a new SegmentMax operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.SegmentMean: Factory method to create a class wrapping a new SegmentMean operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.SegmentMin: Factory method to create a class wrapping a new SegmentMin operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.SegmentProd: Factory method to create a class wrapping a new SegmentProd operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.SegmentSum: Factory method to create a class wrapping a new SegmentSum operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Sigmoid: Factory method to create a class wrapping a new Sigmoid operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.SigmoidGrad: Factory method to create a class wrapping a new SigmoidGrad operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Sign: Factory method to create a class wrapping a new Sign operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Sin: Factory method to create a class wrapping a new Sin operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Sinh: Factory method to create a class wrapping a new Sinh operation.
create(Scope, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Class<T>) - Static method in class org.tensorflow.op.math.SobolSample: Factory method to create a class wrapping a new SobolSample operation.
create(Scope, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>) - Static method in class org.tensorflow.op.math.SobolSample: Factory method to create a class wrapping a new SobolSample operation, with the default output types.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Softplus: Factory method to create a class wrapping a new Softplus operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.SoftplusGrad: Factory method to create a class wrapping a new SoftplusGrad operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.special.BesselJ0: Factory method to create a class wrapping a new BesselJ0 operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.special.BesselJ1: Factory method to create a class wrapping a new BesselJ1 operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.special.BesselK0: Factory method to create a class wrapping a new BesselK0 operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.special.BesselK0e: Factory method to create a class wrapping a new BesselK0e operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.special.BesselK1: Factory method to create a class wrapping a new BesselK1 operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.special.BesselK1e: Factory method to create a class wrapping a new BesselK1e operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.special.BesselY0: Factory method to create a class wrapping a new BesselY0 operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.special.BesselY1: Factory method to create a class wrapping a new BesselY1 operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.special.Dawsn: Factory method to create a class wrapping a new Dawsn operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.special.Expint: Factory method to create a class wrapping a new Expint operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.special.FresnelCos: Factory method to create a class wrapping a new FresnelCos operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.special.FresnelSin: Factory method to create a class wrapping a new FresnelSin operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.special.Spence: Factory method to create a class wrapping a new Spence operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Sqrt: Factory method to create a class wrapping a new Sqrt operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.SqrtGrad: Factory method to create a class wrapping a new SqrtGrad operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Square: Factory method to create a class wrapping a new Square operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.SquaredDifference: Factory method to create a class wrapping a new SquaredDifference operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Sub: Factory method to create a class wrapping a new Sub operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Tan: Factory method to create a class wrapping a new Tan operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Tanh: Factory method to create a class wrapping a new Tanh operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.TanhGrad: Factory method to create a class wrapping a new TanhGrad operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.TruncateDiv: Factory method to create a class wrapping a new TruncateDiv operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.TruncateMod: Factory method to create a class wrapping a new TruncateMod operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.UnsortedSegmentMax: Factory method to create a class wrapping a new UnsortedSegmentMax operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.UnsortedSegmentMin: Factory method to create a class wrapping a new UnsortedSegmentMin operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.UnsortedSegmentProd: Factory method to create a class wrapping a new UnsortedSegmentProd operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.UnsortedSegmentSum: Factory method to create a class wrapping a new UnsortedSegmentSum operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Xdivy: Factory method to create a class wrapping a new Xdivy operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Xlog1py: Factory method to create a class wrapping a new Xlog1py operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Xlogy: Factory method to create a class wrapping a new Xlogy operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Zeta: Factory method to create a class wrapping a new Zeta operation.
create(Scope, Operand<T>, List<Long>, List<Long>, String, AvgPool.Options...) - Static method in class org.tensorflow.op.nn.AvgPool: Factory method to create a class wrapping a new AvgPool operation.
create(Scope, Operand<T>, List<Long>, List<Long>, String, AvgPool3d.Options...) - Static method in class org.tensorflow.op.nn.AvgPool3d: Factory method to create a class wrapping a new AvgPool3D operation.
create(Scope, Operand<TInt32>, Operand<T>, List<Long>, List<Long>, String, AvgPool3dGrad.Options...) - Static method in class org.tensorflow.op.nn.AvgPool3dGrad: Factory method to create a class wrapping a new AvgPool3DGrad operation.
create(Scope, Operand<TInt32>, Operand<T>, List<Long>, List<Long>, String, AvgPoolGrad.Options...) - Static method in class org.tensorflow.op.nn.AvgPoolGrad: Factory method to create a class wrapping a new AvgPoolGrad operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Float, Boolean) - Static method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization: Factory method to create a class wrapping a new BatchNormWithGlobalNormalization operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Float, Boolean) - Static method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad: Factory method to create a class wrapping a new BatchNormWithGlobalNormalizationGrad operation.
create(Scope, Operand<T>, Operand<T>, BiasAdd.Options...) - Static method in class org.tensorflow.op.nn.BiasAdd: Factory method to create a class wrapping a new BiasAdd operation.
create(Scope, Operand<T>, BiasAddGrad.Options...) - Static method in class org.tensorflow.op.nn.BiasAddGrad: Factory method to create a class wrapping a new BiasAddGrad operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, BlockLSTM.Options...) - Static method in class org.tensorflow.op.nn.BlockLSTM: Factory method to create a class wrapping a new BlockLSTMV2 operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Boolean) - Static method in class org.tensorflow.op.nn.BlockLSTMGrad: Factory method to create a class wrapping a new BlockLSTMGradV2 operation.
create(Scope, Operand<TInt64>, Operand<TInt64>, Long, ComputeAccidentalHits.Options...) - Static method in class org.tensorflow.op.nn.ComputeAccidentalHits: Factory method to create a class wrapping a new ComputeAccidentalHits operation.
create(Scope, Operand<T>, Operand<T>, List<Long>, String, Conv2d.Options...) - Static method in class org.tensorflow.op.nn.Conv2d: Factory method to create a class wrapping a new Conv2D operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<T>, List<Long>, String, Conv2dBackpropFilter.Options...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilter: Factory method to create a class wrapping a new Conv2DBackpropFilter operation.
create(Scope, Operand<TInt32>, Operand<T>, Operand<T>, List<Long>, String, Conv2dBackpropInput.Options...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInput: Factory method to create a class wrapping a new Conv2DBackpropInput operation.
create(Scope, Operand<T>, Operand<T>, List<Long>, String, Conv3d.Options...) - Static method in class org.tensorflow.op.nn.Conv3d: Factory method to create a class wrapping a new Conv3D operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<T>, List<Long>, String, Conv3dBackpropFilter.Options...) - Static method in class org.tensorflow.op.nn.Conv3dBackpropFilter: Factory method to create a class wrapping a new Conv3DBackpropFilterV2 operation.
create(Scope, Operand<? extends TNumber>, Operand, Operand, List<Long>, String, Conv3dBackpropInput.Options...) - Static method in class org.tensorflow.op.nn.Conv3dBackpropInput: Factory method to create a class wrapping a new Conv3DBackpropInputV2 operation.
create(Scope, Operand<T>, Operand<TInt32>, Long, Long, CtcBeamSearchDecoder.Options...) - Static method in class org.tensorflow.op.nn.CtcBeamSearchDecoder: Factory method to create a class wrapping a new CTCBeamSearchDecoder operation.
create(Scope, Operand<T>, Operand<TInt32>, CtcGreedyDecoder.Options...) - Static method in class org.tensorflow.op.nn.CtcGreedyDecoder: Factory method to create a class wrapping a new CTCGreedyDecoder operation.
create(Scope, Operand<T>, Operand<TInt64>, Operand<TInt32>, Operand<TInt32>, CtcLoss.Options...) - Static method in class org.tensorflow.op.nn.CtcLoss: Factory method to create a class wrapping a new CTCLoss operation.
create(Scope, Operand<TFloat32>, Operand<TInt64>, Operand<TInt32>, Operand<TInt32>, CTCLossV2.Options...) - Static method in class org.tensorflow.op.nn.CTCLossV2: Factory method to create a class wrapping a new CTCLossV2 operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<TInt32>, CudnnRNN.Options...) - Static method in class org.tensorflow.op.nn.CudnnRNN: Factory method to create a class wrapping a new CudnnRNNV3 operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<TInt32>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TType>, CudnnRNNBackprop.Options...) - Static method in class org.tensorflow.op.nn.CudnnRNNBackprop: Factory method to create a class wrapping a new CudnnRNNBackpropV3 operation.
create(Scope, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Iterable<Operand<T>>, Iterable<Operand<T>>, CudnnRNNCanonicalToParams.Options...) - Static method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: Factory method to create a class wrapping a new CudnnRNNCanonicalToParamsV2 operation.
create(Scope, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Class, Class<T>, CudnnRnnParamsSize.Options...) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize: Factory method to create a class wrapping a new CudnnRNNParamsSize operation.
create(Scope, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Operand<T>, Long, Long, CudnnRNNParamsToCanonical.Options...) - Static method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Factory method to create a class wrapping a new CudnnRNNParamsToCanonicalV2 operation.
create(Scope, Operand<T>, DataFormatDimMap.Options...) - Static method in class org.tensorflow.op.nn.DataFormatDimMap: Factory method to create a class wrapping a new DataFormatDimMap operation.
create(Scope, Operand<T>, DataFormatVecPermute.Options...) - Static method in class org.tensorflow.op.nn.DataFormatVecPermute: Factory method to create a class wrapping a new DataFormatVecPermute operation.
create(Scope, Operand<T>, Long, DepthToSpace.Options...) - Static method in class org.tensorflow.op.nn.DepthToSpace: Factory method to create a class wrapping a new DepthToSpace operation.
create(Scope, Operand<T>, Operand<T>, List<Long>, String, DepthwiseConv2dNative.Options...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNative: Factory method to create a class wrapping a new DepthwiseConv2dNative operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<T>, List<Long>, String, DepthwiseConv2dNativeBackpropFilter.Options...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter: Factory method to create a class wrapping a new DepthwiseConv2dNativeBackpropFilter operation.
create(Scope, Operand<TInt32>, Operand<T>, Operand<T>, List<Long>, String, DepthwiseConv2dNativeBackpropInput.Options...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput: Factory method to create a class wrapping a new DepthwiseConv2dNativeBackpropInput operation.
create(Scope, Operand<T>, Operand<T>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.nn.Dilation2d: Factory method to create a class wrapping a new Dilation2D operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.nn.Dilation2dBackpropFilter: Factory method to create a class wrapping a new Dilation2DBackpropFilter operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.nn.Dilation2dBackpropInput: Factory method to create a class wrapping a new Dilation2DBackpropInput operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.Elu: Factory method to create a class wrapping a new Elu operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.EluGrad: Factory method to create a class wrapping a new EluGrad operation.
create(Scope, Operand<TInt64>, Long, Long, Boolean, Long, FixedUnigramCandidateSampler.Options...) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Factory method to create a class wrapping a new FixedUnigramCandidateSampler operation.
create(Scope, Operand<T>, List<Float>, FractionalAvgPool.Options...) - Static method in class org.tensorflow.op.nn.FractionalAvgPool: Factory method to create a class wrapping a new FractionalAvgPool operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt64>, FractionalAvgPoolGrad.Options...) - Static method in class org.tensorflow.op.nn.FractionalAvgPoolGrad: Factory method to create a class wrapping a new FractionalAvgPoolGrad operation.
create(Scope, Operand<T>, List<Float>, FractionalMaxPool.Options...) - Static method in class org.tensorflow.op.nn.FractionalMaxPool: Factory method to create a class wrapping a new FractionalMaxPool operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<TInt64>, Operand<TInt64>, FractionalMaxPoolGrad.Options...) - Static method in class org.tensorflow.op.nn.FractionalMaxPoolGrad: Factory method to create a class wrapping a new FractionalMaxPoolGrad operation.
create(Scope, Operand<T>, Operand, Operand, Operand, Operand, FusedBatchNorm.Options...) - Static method in class org.tensorflow.op.nn.FusedBatchNorm: Factory method to create a class wrapping a new FusedBatchNormV3 operation.
create(Scope, Operand<T>, Operand<T>, Operand<TFloat32>, Operand, Operand, Operand, FusedBatchNormGrad.Options...) - Static method in class org.tensorflow.op.nn.FusedBatchNormGrad: Factory method to create a class wrapping a new FusedBatchNormGradV3 operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<T>, String, List<Long>, String) - Static method in class org.tensorflow.op.nn.FusedPadConv2d: Factory method to create a class wrapping a new FusedPadConv2D operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<TInt32>, Operand<T>, String, List<Long>, String, FusedResizeAndPadConv2d.Options...) - Static method in class org.tensorflow.op.nn.FusedResizeAndPadConv2d: Factory method to create a class wrapping a new FusedResizeAndPadConv2D operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.GRUBlockCell: Factory method to create a class wrapping a new GRUBlockCell operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.GRUBlockCellGrad: Factory method to create a class wrapping a new GRUBlockCellGrad operation.
create(Scope, Operand<TFloat32>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.InTopK: Factory method to create a class wrapping a new InTopKV2 operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.InvGrad: Factory method to create a class wrapping a new InvGrad operation.
create(Scope, Operand<? extends TNumber>, Class) - Static method in class org.tensorflow.op.nn.IsotonicRegression: Factory method to create a class wrapping a new IsotonicRegression operation.
create(Scope, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.nn.IsotonicRegression: Factory method to create a class wrapping a new IsotonicRegression operation, with the default output types.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.L2Loss: Factory method to create a class wrapping a new L2Loss operation.
create(Scope, Operand<T>, LeakyRelu.Options...) - Static method in class org.tensorflow.op.nn.LeakyRelu: Factory method to create a class wrapping a new LeakyRelu operation.
create(Scope, Operand<TInt64>, Long, Long, Boolean, Long, LearnedUnigramCandidateSampler.Options...) - Static method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler: Factory method to create a class wrapping a new LearnedUnigramCandidateSampler operation.
create(Scope, Operand<T>, LocalResponseNormalization.Options...) - Static method in class org.tensorflow.op.nn.LocalResponseNormalization: Factory method to create a class wrapping a new LRN operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, LocalResponseNormalizationGrad.Options...) - Static method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad: Factory method to create a class wrapping a new LRNGrad operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.LogSoftmax: Factory method to create a class wrapping a new LogSoftmax operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, LSTMBlockCell.Options...) - Static method in class org.tensorflow.op.nn.LSTMBlockCell: Factory method to create a class wrapping a new LSTMBlockCell operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Boolean) - Static method in class org.tensorflow.op.nn.LSTMBlockCellGrad: Factory method to create a class wrapping a new LSTMBlockCellGrad operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<TInt32>, String, MaxPool.Options...) - Static method in class org.tensorflow.op.nn.MaxPool: Factory method to create a class wrapping a new MaxPoolV2 operation.
create(Scope, Operand<T>, List<Long>, List<Long>, String, MaxPool3d.Options...) - Static method in class org.tensorflow.op.nn.MaxPool3d: Factory method to create a class wrapping a new MaxPool3D operation.
create(Scope, Operand<T>, Operand<T>, Operand, List<Long>, List<Long>, String, MaxPool3dGrad.Options...) - Static method in class org.tensorflow.op.nn.MaxPool3dGrad: Factory method to create a class wrapping a new MaxPool3DGrad operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String, MaxPool3dGradGrad.Options...) - Static method in class org.tensorflow.op.nn.MaxPool3dGradGrad: Factory method to create a class wrapping a new MaxPool3DGradGrad operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<TInt32>, Operand<TInt32>, String, MaxPoolGrad.Options...) - Static method in class org.tensorflow.op.nn.MaxPoolGrad: Factory method to create a class wrapping a new MaxPoolGradV2 operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<TInt32>, Operand<TInt32>, String, MaxPoolGradGrad.Options...) - Static method in class org.tensorflow.op.nn.MaxPoolGradGrad: Factory method to create a class wrapping a new MaxPoolGradGradV2 operation.
create(Scope, Operand<T>, Operand<T>, Operand<? extends TNumber>, List<Long>, List<Long>, String, MaxPoolGradGradWithArgmax.Options...) - Static method in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax: Factory method to create a class wrapping a new MaxPoolGradGradWithArgmax operation.
create(Scope, Operand<T>, Operand<T>, Operand<? extends TNumber>, List<Long>, List<Long>, String, MaxPoolGradWithArgmax.Options...) - Static method in class org.tensorflow.op.nn.MaxPoolGradWithArgmax: Factory method to create a class wrapping a new MaxPoolGradWithArgmax operation.
create(Scope, Operand<T>, List<Long>, List<Long>, Class, String, MaxPoolWithArgmax.Options...) - Static method in class org.tensorflow.op.nn.MaxPoolWithArgmax: Factory method to create a class wrapping a new MaxPoolWithArgmax operation.
create(Scope, Operand<T>, List<Long>, List<Long>, String, MaxPoolWithArgmax.Options[]) - Static method in class org.tensorflow.op.nn.MaxPoolWithArgmax: Factory method to create a class wrapping a new MaxPoolWithArgmax operation, with the default output types.
create(Scope, Operand<T>, Operand<TInt32>, NthElement.Options...) - Static method in class org.tensorflow.op.nn.NthElement: Factory method to create a class wrapping a new NthElement operation.
create(Scope, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.nn.QuantizedAvgPool: Factory method to create a class wrapping a new QuantizedAvgPool operation.
create(Scope, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, Class, Float, Boolean) - Static method in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization: Factory method to create a class wrapping a new QuantizedBatchNormWithGlobalNormalization operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>) - Static method in class org.tensorflow.op.nn.QuantizedBiasAdd: Factory method to create a class wrapping a new QuantizedBiasAdd operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedConv2d.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2d: Factory method to create a class wrapping a new QuantizedConv2D operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedConv2DAndRelu.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu: Factory method to create a class wrapping a new QuantizedConv2DAndRelu operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedConv2DAndReluAndRequantize.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize: Factory method to create a class wrapping a new QuantizedConv2DAndReluAndRequantize operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedConv2DAndRequantize.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize: Factory method to create a class wrapping a new QuantizedConv2DAndRequantize operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedConv2DPerChannel.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DPerChannel: Factory method to create a class wrapping a new QuantizedConv2DPerChannel operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedConv2DWithBias.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBias: Factory method to create a class wrapping a new QuantizedConv2DWithBias operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedConv2DWithBiasAndRelu.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu: Factory method to create a class wrapping a new QuantizedConv2DWithBiasAndRelu operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<W>, List<Long>, String, QuantizedConv2DWithBiasAndReluAndRequantize.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize: Factory method to create a class wrapping a new QuantizedConv2DWithBiasAndReluAndRequantize operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<W>, List<Long>, String, QuantizedConv2DWithBiasAndRequantize.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize: Factory method to create a class wrapping a new QuantizedConv2DWithBiasAndRequantize operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Class<X>, List<Long>, String, QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize: Factory method to create a class wrapping a new QuantizedConv2DWithBiasSignedSumAndReluAndRequantize operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedConv2DWithBiasSumAndRelu.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu: Factory method to create a class wrapping a new QuantizedConv2DWithBiasSumAndRelu operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Class<X>, List<Long>, String, QuantizedConv2DWithBiasSumAndReluAndRequantize.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize: Factory method to create a class wrapping a new QuantizedConv2DWithBiasSumAndReluAndRequantize operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedDepthwiseConv2D.Options...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D: Factory method to create a class wrapping a new QuantizedDepthwiseConv2D operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedDepthwiseConv2DWithBias.Options...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias: Factory method to create a class wrapping a new QuantizedDepthwiseConv2DWithBias operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedDepthwiseConv2DWithBiasAndRelu.Options...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu: Factory method to create a class wrapping a new QuantizedDepthwiseConv2DWithBiasAndRelu operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<W>, List<Long>, String, QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize: Factory method to create a class wrapping a new QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize operation.
create(Scope, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, QuantizedInstanceNorm.Options...) - Static method in class org.tensorflow.op.nn.QuantizedInstanceNorm: Factory method to create a class wrapping a new QuantizedInstanceNorm operation.
create(Scope, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.nn.QuantizedMaxPool: Factory method to create a class wrapping a new QuantizedMaxPool operation.
create(Scope, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Class) - Static method in class org.tensorflow.op.nn.QuantizedRelu: Factory method to create a class wrapping a new QuantizedRelu operation.
create(Scope, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Class) - Static method in class org.tensorflow.op.nn.QuantizedRelu6: Factory method to create a class wrapping a new QuantizedRelu6 operation.
create(Scope, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class) - Static method in class org.tensorflow.op.nn.QuantizedReluX: Factory method to create a class wrapping a new QuantizedReluX operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.Relu: Factory method to create a class wrapping a new Relu operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.Relu6: Factory method to create a class wrapping a new Relu6 operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.Relu6Grad: Factory method to create a class wrapping a new Relu6Grad operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.ReluGrad: Factory method to create a class wrapping a new ReluGrad operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.Selu: Factory method to create a class wrapping a new Selu operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.SeluGrad: Factory method to create a class wrapping a new SeluGrad operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.Softmax: Factory method to create a class wrapping a new Softmax operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits: Factory method to create a class wrapping a new SoftmaxCrossEntropyWithLogits operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.Softsign: Factory method to create a class wrapping a new Softsign operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.SoftsignGrad: Factory method to create a class wrapping a new SoftsignGrad operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Long) - Static method in class org.tensorflow.op.nn.SpaceToBatch: Factory method to create a class wrapping a new SpaceToBatch operation.
create(Scope, Operand<T>, Long, SpaceToDepth.Options...) - Static method in class org.tensorflow.op.nn.SpaceToDepth: Factory method to create a class wrapping a new SpaceToDepth operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits: Factory method to create a class wrapping a new SparseSoftmaxCrossEntropyWithLogits operation.
create(Scope, Operand<T>, Operand<TInt32>, TopK.Options...) - Static method in class org.tensorflow.op.nn.TopK: Factory method to create a class wrapping a new TopKV2 operation.
create(ExecutionEnvironment) - Static method in class org.tensorflow.op.Ops: Creates an API for building operations in the provided execution environment
create() - Static method in class org.tensorflow.op.Ops: Creates an API for building operations in the default eager execution environment
create(Scope, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Class, Dequantize.Options...) - Static method in class org.tensorflow.op.quantization.Dequantize: Factory method to create a class wrapping a new Dequantize operation.
create(Scope, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Dequantize.Options[]) - Static method in class org.tensorflow.op.quantization.Dequantize: Factory method to create a class wrapping a new Dequantize operation, with the default output types.
create(Scope, Operand<TFloat32>, FakeQuantWithMinMaxArgs.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs: Factory method to create a class wrapping a new FakeQuantWithMinMaxArgs operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, FakeQuantWithMinMaxArgsGradient.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient: Factory method to create a class wrapping a new FakeQuantWithMinMaxArgsGradient operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, FakeQuantWithMinMaxVars.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars: Factory method to create a class wrapping a new FakeQuantWithMinMaxVars operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, FakeQuantWithMinMaxVarsGradient.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient: Factory method to create a class wrapping a new FakeQuantWithMinMaxVarsGradient operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, FakeQuantWithMinMaxVarsPerChannel.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel: Factory method to create a class wrapping a new FakeQuantWithMinMaxVarsPerChannel operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, FakeQuantWithMinMaxVarsPerChannelGradient.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient: Factory method to create a class wrapping a new FakeQuantWithMinMaxVarsPerChannelGradient operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<T>, Quantize.Options...) - Static method in class org.tensorflow.op.quantization.Quantize: Factory method to create a class wrapping a new QuantizeV2 operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<TInt32>, QuantizeAndDequantize.Options...) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantize: Factory method to create a class wrapping a new QuantizeAndDequantizeV3 operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<TInt32>, QuantizeAndDequantizeV3.Options...) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3: Factory method to create a class wrapping a new QuantizeAndDequantizeV3 operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, QuantizeAndDequantizeV4.Options...) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4: Factory method to create a class wrapping a new QuantizeAndDequantizeV4 operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, QuantizeAndDequantizeV4Grad.Options...) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad: Factory method to create a class wrapping a new QuantizeAndDequantizeV4Grad operation.
create(Scope, Operand<TInt32>, Iterable<Operand<T>>, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>) - Static method in class org.tensorflow.op.quantization.QuantizedConcat: Factory method to create a class wrapping a new QuantizedConcat operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<W>, QuantizedMatMulWithBiasAndDequantize.Options...) - Static method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize: Factory method to create a class wrapping a new QuantizedMatMulWithBiasAndDequantize operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<W>, QuantizedMatMulWithBiasAndRequantize.Options...) - Static method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize: Factory method to create a class wrapping a new QuantizedMatMulWithBiasAndRequantize operation.
create(Scope, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Class) - Static method in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange: Factory method to create a class wrapping a new QuantizeDownAndShrinkRange operation.
create(Scope, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>) - Static method in class org.tensorflow.op.quantization.RequantizationRange: Factory method to create a class wrapping a new RequantizationRange operation.
create(Scope, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class) - Static method in class org.tensorflow.op.quantization.Requantize: Factory method to create a class wrapping a new Requantize operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<T>, Operand, RaggedBincount.Options...) - Static method in class org.tensorflow.op.ragged.RaggedBincount: Factory method to create a class wrapping a new RaggedBincount operation.
create(Scope, Operand<TInt64>, Operand<? extends TNumber>, Operand, Boolean, RaggedCountSparseOutput.Options...) - Static method in class org.tensorflow.op.ragged.RaggedCountSparseOutput: Factory method to create a class wrapping a new RaggedCountSparseOutput operation.
create(Scope, Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<TInt64>>, Iterable<Operand<?>>, Iterable<Operand<TInt64>>, Iterable<Operand<?>>, String, Boolean, Long, Long, Class<T>, Class) - Static method in class org.tensorflow.op.ragged.RaggedCross: Factory method to create a class wrapping a new RaggedCross operation.
create(Scope, Iterable<Operand<T>>, Operand, Operand<? extends TNumber>, Long) - Static method in class org.tensorflow.op.ragged.RaggedGather: Factory method to create a class wrapping a new RaggedGather operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Class) - Static method in class org.tensorflow.op.ragged.RaggedRange: Factory method to create a class wrapping a new RaggedRange operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.ragged.RaggedRange: Factory method to create a class wrapping a new RaggedRange operation, with the default output types.
create(Scope, Operand<? extends TType>, Long, Long, Class, Class<T>) - Static method in class org.tensorflow.op.ragged.RaggedTensorFromVariant: Factory method to create a class wrapping a new RaggedTensorFromVariant operation.
create(Scope, Operand<? extends TType>, Long, Long, Class) - Static method in class org.tensorflow.op.ragged.RaggedTensorFromVariant: Factory method to create a class wrapping a new RaggedTensorFromVariant operation, with the default output types.
create(Scope, Iterable<Operand<? extends TNumber>>, Operand) - Static method in class org.tensorflow.op.ragged.RaggedTensorToSparse: Factory method to create a class wrapping a new RaggedTensorToSparse operation.
create(Scope, Operand<? extends TNumber>, Operand, Operand, Iterable<Operand<? extends TNumber>>, List<String>) - Static method in class org.tensorflow.op.ragged.RaggedTensorToTensor: Factory method to create a class wrapping a new RaggedTensorToTensor operation.
create(Scope, Iterable<Operand<? extends TNumber>>, Operand<? extends TType>, Boolean) - Static method in class org.tensorflow.op.ragged.RaggedTensorToVariant: Factory method to create a class wrapping a new RaggedTensorToVariant operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.ragged.RaggedTensorToVariantGradient: Factory method to create a class wrapping a new RaggedTensorToVariantGradient operation.
create(Scope, Operand<TInt64>, Long, Long, Boolean, AllCandidateSampler.Options...) - Static method in class org.tensorflow.op.random.AllCandidateSampler: Factory method to create a class wrapping a new AllCandidateSampler operation.
create(Scope, Operand<TInt64>, Operand<TInt64>) - Static method in class org.tensorflow.op.random.AnonymousRandomSeedGenerator: Factory method to create a class wrapping a new AnonymousRandomSeedGenerator operation.
create(Scope, Operand<TInt64>, Operand<TInt64>, Operand<TBool>) - Static method in class org.tensorflow.op.random.AnonymousSeedGenerator: Factory method to create a class wrapping a new AnonymousSeedGenerator operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.random.DeleteRandomSeedGenerator: Factory method to create a class wrapping a new DeleteRandomSeedGenerator operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.random.DeleteSeedGenerator: Factory method to create a class wrapping a new DeleteSeedGenerator operation.
create(Scope) - Static method in class org.tensorflow.op.random.DummySeedGenerator: Factory method to create a class wrapping a new DummySeedGenerator operation.
create(Scope, Operand<TInt64>, Long, Long, Boolean, Long, LogUniformCandidateSampler.Options...) - Static method in class org.tensorflow.op.random.LogUniformCandidateSampler: Factory method to create a class wrapping a new LogUniformCandidateSampler operation.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, Class, Multinomial.Options...) - Static method in class org.tensorflow.op.random.Multinomial: Factory method to create a class wrapping a new Multinomial operation.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, Multinomial.Options[]) - Static method in class org.tensorflow.op.random.Multinomial: Factory method to create a class wrapping a new Multinomial operation, with the default output types.
create(Scope, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.random.NonDeterministicInts: Factory method to create a class wrapping a new NonDeterministicInts operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.random.NonDeterministicInts: Factory method to create a class wrapping a new NonDeterministicInts operation, with the default output types.
create(Scope, Operand<? extends TNumber>, Operand, Operand, Operand, Operand, ParameterizedTruncatedNormal.Options...) - Static method in class org.tensorflow.op.random.ParameterizedTruncatedNormal: Factory method to create a class wrapping a new ParameterizedTruncatedNormal operation.
create(Scope, Operand<? extends TNumber>, Operand, RandomGamma.Options...) - Static method in class org.tensorflow.op.random.RandomGamma: Factory method to create a class wrapping a new RandomGamma operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.random.RandomGammaGrad: Factory method to create a class wrapping a new RandomGammaGrad operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Class<V>, RandomPoisson.Options...) - Static method in class org.tensorflow.op.random.RandomPoisson: Factory method to create a class wrapping a new RandomPoissonV2 operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, RandomPoisson.Options[]) - Static method in class org.tensorflow.op.random.RandomPoisson: Factory method to create a class wrapping a new RandomPoissonV2 operation, with the default output types.
create(Scope, Operand<T>, RandomShuffle.Options...) - Static method in class org.tensorflow.op.random.RandomShuffle: Factory method to create a class wrapping a new RandomShuffle operation.
create(Scope, Operand<? extends TNumber>, Class, RandomStandardNormal.Options...) - Static method in class org.tensorflow.op.random.RandomStandardNormal: Factory method to create a class wrapping a new RandomStandardNormal operation.
create(Scope, Operand<? extends TNumber>, Class, RandomUniform.Options...) - Static method in class org.tensorflow.op.random.RandomUniform: Factory method to create a class wrapping a new RandomUniform operation.
create(Scope, Operand<? extends TNumber>, Operand, Operand, RandomUniformInt.Options...) - Static method in class org.tensorflow.op.random.RandomUniformInt: Factory method to create a class wrapping a new RandomUniformInt operation.
create(Scope, String, RecordInput.Options...) - Static method in class org.tensorflow.op.random.RecordInput: Factory method to create a class wrapping a new RecordInput operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Operand<? extends TType>) - Static method in class org.tensorflow.op.random.RngReadAndSkip: Factory method to create a class wrapping a new RngReadAndSkip operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>) - Static method in class org.tensorflow.op.random.RngSkip: Factory method to create a class wrapping a new RngSkip operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<? extends TNumber>, Operand, Operand, Class<V>) - Static method in class org.tensorflow.op.random.StatefulRandomBinomial: Factory method to create a class wrapping a new StatefulRandomBinomial operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<? extends TNumber>, Operand, Operand) - Static method in class org.tensorflow.op.random.StatefulRandomBinomial: Factory method to create a class wrapping a new StatefulRandomBinomial operation, with the default output types.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.random.StatefulStandardNormal: Factory method to create a class wrapping a new StatefulStandardNormalV2 operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>) - Static method in class org.tensorflow.op.random.StatefulStandardNormal: Factory method to create a class wrapping a new StatefulStandardNormalV2 operation, with the default output types.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.random.StatefulTruncatedNormal: Factory method to create a class wrapping a new StatefulTruncatedNormal operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>) - Static method in class org.tensorflow.op.random.StatefulTruncatedNormal: Factory method to create a class wrapping a new StatefulTruncatedNormal operation, with the default output types.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.random.StatefulUniform: Factory method to create a class wrapping a new StatefulUniform operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>) - Static method in class org.tensorflow.op.random.StatefulUniform: Factory method to create a class wrapping a new StatefulUniform operation, with the default output types.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.random.StatefulUniformFullInt: Factory method to create a class wrapping a new StatefulUniformFullInt operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>, Operand, Operand) - Static method in class org.tensorflow.op.random.StatefulUniformInt: Factory method to create a class wrapping a new StatefulUniformInt operation.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, Operand<? extends TNumber>, Class<V>) - Static method in class org.tensorflow.op.random.StatelessMultinomial: Factory method to create a class wrapping a new StatelessMultinomial operation.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.random.StatelessMultinomial: Factory method to create a class wrapping a new StatelessMultinomial operation, with the default output types.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<V>, Operand<V>, Operand<V>, Operand<V>) - Static method in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal: Factory method to create a class wrapping a new StatelessParameterizedTruncatedNormal operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<V>, Operand<V>, Class<W>) - Static method in class org.tensorflow.op.random.StatelessRandomBinomial: Factory method to create a class wrapping a new StatelessRandomBinomial operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<V>, Operand<V>) - Static method in class org.tensorflow.op.random.StatelessRandomBinomial: Factory method to create a class wrapping a new StatelessRandomBinomial operation, with the default output types.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<V>) - Static method in class org.tensorflow.op.random.StatelessRandomGamma: Factory method to create a class wrapping a new StatelessRandomGammaV2 operation.
create(Scope) - Static method in class org.tensorflow.op.random.StatelessRandomGetAlg: Factory method to create a class wrapping a new StatelessRandomGetAlg operation.
create(Scope, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.random.StatelessRandomGetKeyCounter: Factory method to create a class wrapping a new StatelessRandomGetKeyCounter operation.
create(Scope, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.random.StatelessRandomGetKeyCounterAlg: Factory method to create a class wrapping a new StatelessRandomGetKeyCounterAlg operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Class<V>) - Static method in class org.tensorflow.op.random.StatelessRandomNormal: Factory method to create a class wrapping a new StatelessRandomNormal operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.random.StatelessRandomNormal: Factory method to create a class wrapping a new StatelessRandomNormal operation, with the default output types.
create(Scope, Operand<? extends TNumber>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.random.StatelessRandomNormalV2: Factory method to create a class wrapping a new StatelessRandomNormalV2 operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>) - Static method in class org.tensorflow.op.random.StatelessRandomNormalV2: Factory method to create a class wrapping a new StatelessRandomNormalV2 operation, with the default output types.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Class<W>) - Static method in class org.tensorflow.op.random.StatelessRandomPoisson: Factory method to create a class wrapping a new StatelessRandomPoisson operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Class<V>) - Static method in class org.tensorflow.op.random.StatelessRandomUniform: Factory method to create a class wrapping a new StatelessRandomUniform operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.random.StatelessRandomUniform: Factory method to create a class wrapping a new StatelessRandomUniform operation, with the default output types.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Class<V>) - Static method in class org.tensorflow.op.random.StatelessRandomUniformFullInt: Factory method to create a class wrapping a new StatelessRandomUniformFullInt operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2: Factory method to create a class wrapping a new StatelessRandomUniformFullIntV2 operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<V>, Operand<V>) - Static method in class org.tensorflow.op.random.StatelessRandomUniformInt: Factory method to create a class wrapping a new StatelessRandomUniformInt operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>, Operand, Operand) - Static method in class org.tensorflow.op.random.StatelessRandomUniformIntV2: Factory method to create a class wrapping a new StatelessRandomUniformIntV2 operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.random.StatelessRandomUniformV2: Factory method to create a class wrapping a new StatelessRandomUniformV2 operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>) - Static method in class org.tensorflow.op.random.StatelessRandomUniformV2: Factory method to create a class wrapping a new StatelessRandomUniformV2 operation, with the default output types.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Class<V>) - Static method in class org.tensorflow.op.random.StatelessTruncatedNormal: Factory method to create a class wrapping a new StatelessTruncatedNormal operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.random.StatelessTruncatedNormal: Factory method to create a class wrapping a new StatelessTruncatedNormal operation, with the default output types.
create(Scope, Operand<? extends TNumber>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.random.StatelessTruncatedNormalV2: Factory method to create a class wrapping a new StatelessTruncatedNormalV2 operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>) - Static method in class org.tensorflow.op.random.StatelessTruncatedNormalV2: Factory method to create a class wrapping a new StatelessTruncatedNormalV2 operation, with the default output types.
create(Scope, Operand<? extends TNumber>, Class, TruncatedNormal.Options...) - Static method in class org.tensorflow.op.random.TruncatedNormal: Factory method to create a class wrapping a new TruncatedNormal operation.
create(Scope, Operand<TInt64>, Long, Long, Boolean, Long, UniformCandidateSampler.Options...) - Static method in class org.tensorflow.op.random.UniformCandidateSampler: Factory method to create a class wrapping a new UniformCandidateSampler operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.risc.RiscAbs: Factory method to create a class wrapping a new RiscAbs operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.risc.RiscAdd: Factory method to create a class wrapping a new RiscAdd operation.
create(Scope, Operand<T>, Operand<T>, String) - Static method in class org.tensorflow.op.risc.RiscBinaryArithmetic: Factory method to create a class wrapping a new RiscBinaryArithmetic operation.
create(Scope, Operand<T>, Operand<T>, String) - Static method in class org.tensorflow.op.risc.RiscBinaryComparison: Factory method to create a class wrapping a new RiscBinaryComparison operation.
create(Scope, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.risc.RiscBitcast: Factory method to create a class wrapping a new RiscBitcast operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.risc.RiscBroadcast: Factory method to create a class wrapping a new RiscBroadcast operation.
create(Scope, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.risc.RiscCast: Factory method to create a class wrapping a new RiscCast operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.risc.RiscCeil: Factory method to create a class wrapping a new RiscCeil operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.risc.RiscCholesky: Factory method to create a class wrapping a new RiscCholesky operation.
create(Scope, Iterable<Operand<T>>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.risc.RiscConcat: Factory method to create a class wrapping a new RiscConcat operation.
create(Scope, Operand<TBool>, Operand<T>, Operand<T>, ConcreteFunction, ConcreteFunction, Class) - Static method in class org.tensorflow.op.risc.RiscCondition: Factory method to create a class wrapping a new RiscCondition operation.
create(Scope, Operand<T>, Operand<T>, List<Long>, RiscConv.Options...) - Static method in class org.tensorflow.op.risc.RiscConv: Factory method to create a class wrapping a new RiscConv operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.risc.RiscCos: Factory method to create a class wrapping a new RiscCos operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.risc.RiscDiv: Factory method to create a class wrapping a new RiscDiv operation.
create(Scope, Operand<T>, Operand<T>, RiscDot.Options...) - Static method in class org.tensorflow.op.risc.RiscDot: Factory method to create a class wrapping a new RiscDot operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.risc.RiscExp: Factory method to create a class wrapping a new RiscExp operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.risc.RiscFft: Factory method to create a class wrapping a new RiscFft operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.risc.RiscFloor: Factory method to create a class wrapping a new RiscFloor operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, RiscGather.Options...) - Static method in class org.tensorflow.op.risc.RiscGather: Factory method to create a class wrapping a new RiscGather operation.
create(Scope, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.risc.RiscImag: Factory method to create a class wrapping a new RiscImag operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.risc.RiscImag: Factory method to create a class wrapping a new RiscImag operation, with the default output types.
create(Scope, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.risc.RiscIsFinite: Factory method to create a class wrapping a new RiscIsFinite operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.risc.RiscLog: Factory method to create a class wrapping a new RiscLog operation.
create(Scope, Operand<TBool>, Operand<TBool>) - Static method in class org.tensorflow.op.risc.RiscLogicalAnd: Factory method to create a class wrapping a new RiscLogicalAnd operation.
create(Scope, Operand<TBool>) - Static method in class org.tensorflow.op.risc.RiscLogicalNot: Factory method to create a class wrapping a new RiscLogicalNot operation.
create(Scope, Operand<TBool>, Operand<TBool>) - Static method in class org.tensorflow.op.risc.RiscLogicalOr: Factory method to create a class wrapping a new RiscLogicalOr operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.risc.RiscMax: Factory method to create a class wrapping a new RiscMax operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.risc.RiscMin: Factory method to create a class wrapping a new RiscMin operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.risc.RiscMul: Factory method to create a class wrapping a new RiscMul operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.risc.RiscNeg: Factory method to create a class wrapping a new RiscNeg operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>) - Static method in class org.tensorflow.op.risc.RiscPad: Factory method to create a class wrapping a new RiscPad operation.
create(Scope, Operand<T>, List<Long>, List<Long>, String, RiscPool.Options...) - Static method in class org.tensorflow.op.risc.RiscPool: Factory method to create a class wrapping a new RiscPool operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.risc.RiscPow: Factory method to create a class wrapping a new RiscPow operation.
create(Scope, Operand<? extends TNumber>, RiscRandomUniform.Options...) - Static method in class org.tensorflow.op.risc.RiscRandomUniform: Factory method to create a class wrapping a new RiscRandomUniform operation.
create(Scope, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.risc.RiscReal: Factory method to create a class wrapping a new RiscReal operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.risc.RiscReal: Factory method to create a class wrapping a new RiscReal operation, with the default output types.
create(Scope, Operand<T>, Operand<? extends TNumber>, String) - Static method in class org.tensorflow.op.risc.RiscReduce: Factory method to create a class wrapping a new RiscReduce operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.risc.RiscRem: Factory method to create a class wrapping a new RiscRem operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.risc.RiscReshape: Factory method to create a class wrapping a new RiscReshape operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.risc.RiscReverse: Factory method to create a class wrapping a new RiscReverse operation.
create(Scope, Operand<T>, Operand, Operand<T>) - Static method in class org.tensorflow.op.risc.RiscScatter: Factory method to create a class wrapping a new RiscScatter operation.
create(Scope, Operand<? extends TNumber>, Class) - Static method in class org.tensorflow.op.risc.RiscShape: Factory method to create a class wrapping a new RiscShape operation.
create(Scope, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.risc.RiscShape: Factory method to create a class wrapping a new RiscShape operation, with the default output types.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.risc.RiscSign: Factory method to create a class wrapping a new RiscSign operation.
create(Scope, Operand<T>, Operand, Operand) - Static method in class org.tensorflow.op.risc.RiscSlice: Factory method to create a class wrapping a new RiscSlice operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, String) - Static method in class org.tensorflow.op.risc.RiscSort: Factory method to create a class wrapping a new RiscSort operation.
create(Scope, Operand<T>, RiscSqueeze.Options...) - Static method in class org.tensorflow.op.risc.RiscSqueeze: Factory method to create a class wrapping a new RiscSqueeze operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.risc.RiscSub: Factory method to create a class wrapping a new RiscSub operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.risc.RiscTranspose: Factory method to create a class wrapping a new RiscTranspose operation.
create(Scope, Operand<T>, Operand<T>, RiscTriangularSolve.Options...) - Static method in class org.tensorflow.op.risc.RiscTriangularSolve: Factory method to create a class wrapping a new RiscTriangularSolve operation.
create(Scope, Operand<T>, String) - Static method in class org.tensorflow.op.risc.RiscUnary: Factory method to create a class wrapping a new RiscUnary operation.
create(Scope, Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, RiscWhile.Options...) - Static method in class org.tensorflow.op.risc.RiscWhile: Factory method to create a class wrapping a new RiscWhile operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.signal.BatchFft: Factory method to create a class wrapping a new BatchFFT operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.signal.BatchFft2d: Factory method to create a class wrapping a new BatchFFT2D operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.signal.BatchFft3d: Factory method to create a class wrapping a new BatchFFT3D operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.signal.BatchIfft: Factory method to create a class wrapping a new BatchIFFT operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.signal.BatchIfft2d: Factory method to create a class wrapping a new BatchIFFT2D operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.signal.BatchIfft3d: Factory method to create a class wrapping a new BatchIFFT3D operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.signal.Fft: Factory method to create a class wrapping a new FFT operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.signal.Fft2d: Factory method to create a class wrapping a new FFT2D operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.signal.Fft3d: Factory method to create a class wrapping a new FFT3D operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.signal.Ifft: Factory method to create a class wrapping a new IFFT operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.signal.Ifft2d: Factory method to create a class wrapping a new IFFT2D operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.signal.Ifft3d: Factory method to create a class wrapping a new IFFT3D operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.signal.Irfft: Factory method to create a class wrapping a new IRFFT operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>) - Static method in class org.tensorflow.op.signal.Irfft: Factory method to create a class wrapping a new IRFFT operation, with the default output types.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.signal.Irfft2d: Factory method to create a class wrapping a new IRFFT2D operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>) - Static method in class org.tensorflow.op.signal.Irfft2d: Factory method to create a class wrapping a new IRFFT2D operation, with the default output types.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.signal.Irfft3d: Factory method to create a class wrapping a new IRFFT3D operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>) - Static method in class org.tensorflow.op.signal.Irfft3d: Factory method to create a class wrapping a new IRFFT3D operation, with the default output types.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.signal.Rfft: Factory method to create a class wrapping a new RFFT operation.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.signal.Rfft2d: Factory method to create a class wrapping a new RFFT2D operation.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.signal.Rfft3d: Factory method to create a class wrapping a new RFFT3D operation.
create(Scope, Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>, AddManySparseToTensorsMap.Options...) - Static method in class org.tensorflow.op.sparse.AddManySparseToTensorsMap: Factory method to create a class wrapping a new AddManySparseToTensorsMap operation.
create(Scope, Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>, AddSparseToTensorsMap.Options...) - Static method in class org.tensorflow.op.sparse.AddSparseToTensorsMap: Factory method to create a class wrapping a new AddSparseToTensorsMap operation.
create(Scope, Operand<? extends TNumber>, Operand, Boolean, DenseCountSparseOutput.Options...) - Static method in class org.tensorflow.op.sparse.DenseCountSparseOutput: Factory method to create a class wrapping a new DenseCountSparseOutput operation.
create(Scope, Operand<T>, Operand<T>, String, DenseToDenseSetOperation.Options...) - Static method in class org.tensorflow.op.sparse.DenseToDenseSetOperation: Factory method to create a class wrapping a new DenseToDenseSetOperation operation.
create(Scope, Operand<T>, Operand<TInt64>, Operand<T>, Operand<TInt64>, String, DenseToSparseSetOperation.Options...) - Static method in class org.tensorflow.op.sparse.DenseToSparseSetOperation: Factory method to create a class wrapping a new DenseToSparseSetOperation operation.
create(Scope, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.sparse.DeserializeSparse: Factory method to create a class wrapping a new DeserializeSparse operation.
create(Scope, Operand<TString>, Operand<TInt64>, Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>, Boolean) - Static method in class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient: Factory method to create a class wrapping a new SparseAccumulatorApplyGradient operation.
create(Scope, Operand<TString>, Operand<TInt32>, Class<T>) - Static method in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient: Factory method to create a class wrapping a new SparseAccumulatorTakeGradient operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.sparse.SparseAdd: Factory method to create a class wrapping a new SparseAdd operation.
create(Scope, Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>) - Static method in class org.tensorflow.op.sparse.SparseAddGrad: Factory method to create a class wrapping a new SparseAddGrad operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<T>, Operand, SparseBincount.Options...) - Static method in class org.tensorflow.op.sparse.SparseBincount: Factory method to create a class wrapping a new SparseBincount operation.
create(Scope, Iterable<Operand<TInt64>>, Iterable<Operand<T>>, Iterable<Operand<TInt64>>, Long) - Static method in class org.tensorflow.op.sparse.SparseConcat: Factory method to create a class wrapping a new SparseConcat operation.
create(Scope, Class<T>, Shape, SparseConditionalAccumulator.Options...) - Static method in class org.tensorflow.op.sparse.SparseConditionalAccumulator: Factory method to create a class wrapping a new SparseConditionalAccumulator operation.
create(Scope, Operand<TInt64>, Operand<? extends TNumber>, Operand<TInt64>, Operand, Boolean, SparseCountSparseOutput.Options...) - Static method in class org.tensorflow.op.sparse.SparseCountSparseOutput: Factory method to create a class wrapping a new SparseCountSparseOutput operation.
create(Scope, Iterable<Operand<TInt64>>, Iterable<Operand<?>>, Iterable<Operand<TInt64>>, Iterable<Operand<?>>, Operand<TString>) - Static method in class org.tensorflow.op.sparse.SparseCross: Factory method to create a class wrapping a new SparseCrossV2 operation.
create(Scope, Iterable<Operand<TInt64>>, Iterable<Operand<?>>, Iterable<Operand<TInt64>>, Iterable<Operand<?>>, Operand<TInt64>, Operand<TBool>, Operand<TInt64>) - Static method in class org.tensorflow.op.sparse.SparseCrossHashed: Factory method to create a class wrapping a new SparseCrossHashed operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<T>) - Static method in class org.tensorflow.op.sparse.SparseDenseCwiseAdd: Factory method to create a class wrapping a new SparseDenseCwiseAdd operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<T>) - Static method in class org.tensorflow.op.sparse.SparseDenseCwiseDiv: Factory method to create a class wrapping a new SparseDenseCwiseDiv operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<T>) - Static method in class org.tensorflow.op.sparse.SparseDenseCwiseMul: Factory method to create a class wrapping a new SparseDenseCwiseMul operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<T>) - Static method in class org.tensorflow.op.sparse.SparseFillEmptyRows: Factory method to create a class wrapping a new SparseFillEmptyRows operation.
create(Scope, Operand<TInt64>, Operand<T>) - Static method in class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad: Factory method to create a class wrapping a new SparseFillEmptyRowsGrad operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, SparseMatMul.Options...) - Static method in class org.tensorflow.op.sparse.SparseMatMul: Factory method to create a class wrapping a new SparseMatMul operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt32>, SparseReduceMax.Options...) - Static method in class org.tensorflow.op.sparse.SparseReduceMax: Factory method to create a class wrapping a new SparseReduceMax operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt32>, SparseReduceMaxSparse.Options...) - Static method in class org.tensorflow.op.sparse.SparseReduceMaxSparse: Factory method to create a class wrapping a new SparseReduceMaxSparse operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt32>, SparseReduceSum.Options...) - Static method in class org.tensorflow.op.sparse.SparseReduceSum: Factory method to create a class wrapping a new SparseReduceSum operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt32>, SparseReduceSumSparse.Options...) - Static method in class org.tensorflow.op.sparse.SparseReduceSumSparse: Factory method to create a class wrapping a new SparseReduceSumSparse operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>) - Static method in class org.tensorflow.op.sparse.SparseReorder: Factory method to create a class wrapping a new SparseReorder operation.
create(Scope, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>) - Static method in class org.tensorflow.op.sparse.SparseReshape: Factory method to create a class wrapping a new SparseReshape operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.sparse.SparseSegmentMean: Factory method to create a class wrapping a new SparseSegmentMean operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TInt32>) - Static method in class org.tensorflow.op.sparse.SparseSegmentMeanGrad: Factory method to create a class wrapping a new SparseSegmentMeanGrad operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments: Factory method to create a class wrapping a new SparseSegmentMeanWithNumSegments operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.sparse.SparseSegmentSqrtN: Factory method to create a class wrapping a new SparseSegmentSqrtN operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TInt32>) - Static method in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad: Factory method to create a class wrapping a new SparseSegmentSqrtNGrad operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments: Factory method to create a class wrapping a new SparseSegmentSqrtNWithNumSegments operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.sparse.SparseSegmentSum: Factory method to create a class wrapping a new SparseSegmentSum operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TInt32>) - Static method in class org.tensorflow.op.sparse.SparseSegmentSumGrad: Factory method to create a class wrapping a new SparseSegmentSumGrad operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments: Factory method to create a class wrapping a new SparseSegmentSumWithNumSegments operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>) - Static method in class org.tensorflow.op.sparse.SparseSlice: Factory method to create a class wrapping a new SparseSlice operation.
create(Scope, Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>) - Static method in class org.tensorflow.op.sparse.SparseSliceGrad: Factory method to create a class wrapping a new SparseSliceGrad operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>) - Static method in class org.tensorflow.op.sparse.SparseSoftmax: Factory method to create a class wrapping a new SparseSoftmax operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<T>, Operand<TInt64>) - Static method in class org.tensorflow.op.sparse.SparseSparseMaximum: Factory method to create a class wrapping a new SparseSparseMaximum operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<T>, Operand<TInt64>) - Static method in class org.tensorflow.op.sparse.SparseSparseMinimum: Factory method to create a class wrapping a new SparseSparseMinimum operation.
create(Scope, Operand<TInt64>, Operand<TInt64>, Operand<T>, Operand<TInt64>, Long) - Static method in class org.tensorflow.op.sparse.SparseSplit: Factory method to create a class wrapping a new SparseSplit operation.
create(Scope, Operand<T>, Operand, Operand<T>, Operand) - Static method in class org.tensorflow.op.sparse.SparseTensorDenseAdd: Factory method to create a class wrapping a new SparseTensorDenseAdd operation.
create(Scope, Operand<? extends TNumber>, Operand, Operand<TInt64>, Operand, SparseTensorDenseMatMul.Options...) - Static method in class org.tensorflow.op.sparse.SparseTensorDenseMatMul: Factory method to create a class wrapping a new SparseTensorDenseMatMul operation.
create(Scope, Operand<T>, Operand<T>, Operand, Operand, SparseToDense.Options...) - Static method in class org.tensorflow.op.sparse.SparseToDense: Factory method to create a class wrapping a new SparseToDense operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<T>, Operand<TInt64>, String, SparseToSparseSetOperation.Options...) - Static method in class org.tensorflow.op.sparse.SparseToSparseSetOperation: Factory method to create a class wrapping a new SparseToSparseSetOperation operation.
create(Scope, Operand<TInt64>, Class<T>, TakeManySparseFromTensorsMap.Options...) - Static method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap: Factory method to create a class wrapping a new TakeManySparseFromTensorsMap operation.
create(Scope, Iterable<Operand<TString>>, Join.Options...) - Static method in class org.tensorflow.op.strings.Join: Factory method to create a class wrapping a new StringJoin operation.
create(Scope, Operand<TString>, Lower.Options...) - Static method in class org.tensorflow.op.strings.Lower: Factory method to create a class wrapping a new StringLower operation.
create(Scope, Operand<TString>, Operand<TInt32>, ReduceJoin.Options...) - Static method in class org.tensorflow.op.strings.ReduceJoin: Factory method to create a class wrapping a new ReduceJoin operation.
create(Scope, Operand<TString>, Operand<TString>) - Static method in class org.tensorflow.op.strings.RegexFullMatch: Factory method to create a class wrapping a new RegexFullMatch operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TString>, RegexReplace.Options...) - Static method in class org.tensorflow.op.strings.RegexReplace: Factory method to create a class wrapping a new RegexReplace operation.
create(Scope, Operand<TString>, String) - Static method in class org.tensorflow.op.strings.StaticRegexFullMatch: Factory method to create a class wrapping a new StaticRegexFullMatch operation.
create(Scope, Operand<TString>, String, String, StaticRegexReplace.Options...) - Static method in class org.tensorflow.op.strings.StaticRegexReplace: Factory method to create a class wrapping a new StaticRegexReplace operation.
create(Scope, Iterable<Operand<?>>, StringFormat.Options...) - Static method in class org.tensorflow.op.strings.StringFormat: Factory method to create a class wrapping a new StringFormat operation.
create(Scope, Operand<TString>, StringLength.Options...) - Static method in class org.tensorflow.op.strings.StringLength: Factory method to create a class wrapping a new StringLength operation.
create(Scope, Operand<TString>, Operand<T>, String, List<Long>, String, String, Long, Boolean) - Static method in class org.tensorflow.op.strings.StringNGrams: Factory method to create a class wrapping a new StringNGrams operation.
create(Scope, Operand<TString>, Operand<TString>, StringSplit.Options...) - Static method in class org.tensorflow.op.strings.StringSplit: Factory method to create a class wrapping a new StringSplitV2 operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.strings.Strip: Factory method to create a class wrapping a new StringStrip operation.
create(Scope, Operand<TString>, Operand<T>, Operand<T>, Substr.Options...) - Static method in class org.tensorflow.op.strings.Substr: Factory method to create a class wrapping a new Substr operation.
create(Scope, Operand<TString>, Long) - Static method in class org.tensorflow.op.strings.ToHashBucket: Factory method to create a class wrapping a new StringToHashBucket operation.
create(Scope, Operand<TString>, Long) - Static method in class org.tensorflow.op.strings.ToHashBucketFast: Factory method to create a class wrapping a new StringToHashBucketFast operation.
create(Scope, Operand<TString>, Long, List<Long>) - Static method in class org.tensorflow.op.strings.ToHashBucketStrong: Factory method to create a class wrapping a new StringToHashBucketStrong operation.
create(Scope, Operand<TString>, Class<T>) - Static method in class org.tensorflow.op.strings.ToNumber: Factory method to create a class wrapping a new StringToNumber operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.strings.ToNumber: Factory method to create a class wrapping a new StringToNumber operation, with the default output types.
create(Scope, Operand<TString>, String, Class<T>, UnicodeDecode.Options...) - Static method in class org.tensorflow.op.strings.UnicodeDecode: Factory method to create a class wrapping a new UnicodeDecode operation.
create(Scope, Operand<TString>, String, UnicodeDecode.Options[]) - Static method in class org.tensorflow.op.strings.UnicodeDecode: Factory method to create a class wrapping a new UnicodeDecode operation, with the default output types.
create(Scope, Operand<TString>, String, Class<T>, UnicodeDecodeWithOffsets.Options...) - Static method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets: Factory method to create a class wrapping a new UnicodeDecodeWithOffsets operation.
create(Scope, Operand<TString>, String, UnicodeDecodeWithOffsets.Options[]) - Static method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets: Factory method to create a class wrapping a new UnicodeDecodeWithOffsets operation, with the default output types.
create(Scope, Operand<TInt32>, Operand<? extends TNumber>, String, UnicodeEncode.Options...) - Static method in class org.tensorflow.op.strings.UnicodeEncode: Factory method to create a class wrapping a new UnicodeEncode operation.
create(Scope, Operand<TInt32>) - Static method in class org.tensorflow.op.strings.UnicodeScript: Factory method to create a class wrapping a new UnicodeScript operation.
create(Scope, Operand<TString>, String, String, UnicodeTranscode.Options...) - Static method in class org.tensorflow.op.strings.UnicodeTranscode: Factory method to create a class wrapping a new UnicodeTranscode operation.
create(Scope, Operand<TString>, Operand<? extends TNumber>, Operand<? extends TNumber>, UnsortedSegmentJoin.Options...) - Static method in class org.tensorflow.op.strings.UnsortedSegmentJoin: Factory method to create a class wrapping a new UnsortedSegmentJoin operation.
create(Scope, Operand<TString>, Upper.Options...) - Static method in class org.tensorflow.op.strings.Upper: Factory method to create a class wrapping a new StringUpper operation.
create(Scope, Operand<TString>, Operand<TFloat32>, Operand<TFloat32>, AudioSummary.Options...) - Static method in class org.tensorflow.op.summary.AudioSummary: Factory method to create a class wrapping a new AudioSummaryV2 operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.summary.CloseSummaryWriter: Factory method to create a class wrapping a new CloseSummaryWriter operation.
create(Scope, Operand<? extends TType>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>) - Static method in class org.tensorflow.op.summary.CreateSummaryDbWriter: Factory method to create a class wrapping a new CreateSummaryDbWriter operation.
create(Scope, Operand<? extends TType>, Operand<TString>, Operand<TInt32>, Operand<TInt32>, Operand<TString>) - Static method in class org.tensorflow.op.summary.CreateSummaryFileWriter: Factory method to create a class wrapping a new CreateSummaryFileWriter operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.summary.FlushSummaryWriter: Factory method to create a class wrapping a new FlushSummaryWriter operation.
create(Scope, Operand<TString>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.summary.HistogramSummary: Factory method to create a class wrapping a new HistogramSummary operation.
create(Scope, Operand<TString>, Operand<? extends TNumber>, ImageSummary.Options...) - Static method in class org.tensorflow.op.summary.ImageSummary: Factory method to create a class wrapping a new ImageSummary operation.
create(Scope, Operand<? extends TType>, Operand<TString>) - Static method in class org.tensorflow.op.summary.ImportEvent: Factory method to create a class wrapping a new ImportEvent operation.
create(Scope, Iterable<Operand<TString>>) - Static method in class org.tensorflow.op.summary.MergeSummary: Factory method to create a class wrapping a new MergeSummary operation.
create(Scope, Operand<TString>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.summary.ScalarSummary: Factory method to create a class wrapping a new ScalarSummary operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.summary.StatsAggregatorSummary: Factory method to create a class wrapping a new StatsAggregatorSummary operation.
create(Scope, SummaryWriter.Options...) - Static method in class org.tensorflow.op.summary.SummaryWriter: Factory method to create a class wrapping a new SummaryWriter operation.
create(Scope, Operand<TString>, Operand<? extends TType>, Operand<TString>) - Static method in class org.tensorflow.op.summary.TensorSummary: Factory method to create a class wrapping a new TensorSummaryV2 operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TString>, Operand<TFloat32>, Operand<TFloat32>, WriteAudioSummary.Options...) - Static method in class org.tensorflow.op.summary.WriteAudioSummary: Factory method to create a class wrapping a new WriteAudioSummary operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TString>) - Static method in class org.tensorflow.op.summary.WriteGraphSummary: Factory method to create a class wrapping a new WriteGraphSummary operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TString>, Operand<? extends TType>) - Static method in class org.tensorflow.op.summary.WriteHistogramSummary: Factory method to create a class wrapping a new WriteHistogramSummary operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TString>, Operand<? extends TNumber>, Operand<TUint8>, WriteImageSummary.Options...) - Static method in class org.tensorflow.op.summary.WriteImageSummary: Factory method to create a class wrapping a new WriteImageSummary operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TString>) - Static method in class org.tensorflow.op.summary.WriteRawProtoSummary: Factory method to create a class wrapping a new WriteRawProtoSummary operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TString>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.summary.WriteScalarSummary: Factory method to create a class wrapping a new WriteScalarSummary operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>, Operand<TString>, Operand<TString>) - Static method in class org.tensorflow.op.summary.WriteSummary: Factory method to create a class wrapping a new WriteSummary operation.
create(Scope, Operand<T>, Operand<TInt32>, Long, Long, Long) - Static method in class org.tensorflow.op.tpu.AllToAll: Factory method to create a class wrapping a new AllToAll operation.
create(Scope) - Static method in class org.tensorflow.op.tpu.CompilationResult: Factory method to create a class wrapping a new TPUCompilationResult operation.
create(Scope, Iterable<Operand<TInt64>>, Iterable<Operand<?>>, Long, ConcreteFunction, String) - Static method in class org.tensorflow.op.tpu.Compile: Factory method to create a class wrapping a new TPUCompile operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.tpu.CompileSucceededAssert: Factory method to create a class wrapping a new TPUCompileSucceededAssert operation.
create(Scope, ConfigureDistributedTPU.Options...) - Static method in class org.tensorflow.op.tpu.ConfigureDistributedTPU: Factory method to create a class wrapping a new ConfigureDistributedTPU operation.
create(Scope, String) - Static method in class org.tensorflow.op.tpu.ConfigureTPUEmbedding: Factory method to create a class wrapping a new ConfigureTPUEmbedding operation.
create(Scope, Operand<T>, Operand<TInt32>) - Static method in class org.tensorflow.op.tpu.CrossReplicaSum: Factory method to create a class wrapping a new CrossReplicaSum operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Long, Long) - Static method in class org.tensorflow.op.tpu.EmbeddingActivations: Factory method to create a class wrapping a new TPUEmbeddingActivations operation.
create(Scope, Iterable<Operand<TInt32>>, Operand<TString>, EnqueueTPUEmbeddingIntegerBatch.Options...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingIntegerBatch: Factory method to create a class wrapping a new EnqueueTPUEmbeddingIntegerBatch operation.
create(Scope, Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Operand<TString>, List<Long>, EnqueueTPUEmbeddingRaggedTensorBatch.Options...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch: Factory method to create a class wrapping a new EnqueueTPUEmbeddingRaggedTensorBatch operation.
create(Scope, Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Operand<TString>, EnqueueTPUEmbeddingSparseBatch.Options...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch: Factory method to create a class wrapping a new EnqueueTPUEmbeddingSparseBatch operation.
create(Scope, Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Operand<TString>, List<Long>, EnqueueTPUEmbeddingSparseTensorBatch.Options...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch: Factory method to create a class wrapping a new EnqueueTPUEmbeddingSparseTensorBatch operation.
create(Scope, Iterable<Operand<?>>, Operand<TString>, List<Class<? extends TType>>) - Static method in class org.tensorflow.op.tpu.Execute: Factory method to create a class wrapping a new TPUExecute operation.
create(Scope, Iterable<Operand<?>>, Operand<TString>, List<Class<? extends TType>>, List<Long>, List<Long>) - Static method in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables: Factory method to create a class wrapping a new TPUExecuteAndUpdateVariables operation.
create(Scope, Class<T>, Shape) - Static method in class org.tensorflow.op.tpu.InfeedDequeue: Factory method to create a class wrapping a new InfeedDequeue operation.
create(Scope, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.tpu.InfeedDequeueTuple: Factory method to create a class wrapping a new InfeedDequeueTuple operation.
create(Scope, Operand<? extends TType>, InfeedEnqueue.Options...) - Static method in class org.tensorflow.op.tpu.InfeedEnqueue: Factory method to create a class wrapping a new InfeedEnqueue operation.
create(Scope, Operand<? extends TType>, InfeedEnqueuePrelinearizedBuffer.Options...) - Static method in class org.tensorflow.op.tpu.InfeedEnqueuePrelinearizedBuffer: Factory method to create a class wrapping a new InfeedEnqueuePrelinearizedBuffer operation.
create(Scope, Iterable<Operand<?>>, List<Shape>, InfeedEnqueueTuple.Options...) - Static method in class org.tensorflow.op.tpu.InfeedEnqueueTuple: Factory method to create a class wrapping a new InfeedEnqueueTuple operation.
create(Scope) - Static method in class org.tensorflow.op.tpu.IsTPUEmbeddingInitialized: Factory method to create a class wrapping a new IsTPUEmbeddingInitialized operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingAdadeltaParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingAdadeltaParameters operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingAdagradMomentumParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingAdagradMomentumParameters operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingAdagradParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingAdagradParameters operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingADAMParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingADAMParameters operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingCenteredRMSPropParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingCenteredRMSPropParameters operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingFrequencyEstimatorParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingFrequencyEstimatorParameters operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingFTRLParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingFTRLParameters operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingMDLAdagradLightParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingMDLAdagradLightParameters operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingMomentumParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingMomentumParameters operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingProximalAdagradParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingProximalAdagradParameters operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingProximalYogiParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingProximalYogiParameters operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingRMSPropParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingRMSPropParameters operation.
create(Scope, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingStochasticGradientDescentParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingStochasticGradientDescentParameters operation.
create(Scope) - Static method in class org.tensorflow.op.tpu.OrdinalSelector: Factory method to create a class wrapping a new TPUOrdinalSelector operation.
create(Scope, Class<T>, Shape, OutfeedDequeue.Options...) - Static method in class org.tensorflow.op.tpu.OutfeedDequeue: Factory method to create a class wrapping a new OutfeedDequeue operation.
create(Scope, List<Class<? extends TType>>, List<Shape>, OutfeedDequeueTuple.Options...) - Static method in class org.tensorflow.op.tpu.OutfeedDequeueTuple: Factory method to create a class wrapping a new OutfeedDequeueTuple operation.
create(Scope, Operand<TInt32>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.tpu.OutfeedDequeueTupleV2: Factory method to create a class wrapping a new OutfeedDequeueTupleV2 operation.
create(Scope, Operand<TInt32>, Class<T>, Shape) - Static method in class org.tensorflow.op.tpu.OutfeedDequeueV2: Factory method to create a class wrapping a new OutfeedDequeueV2 operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.tpu.OutfeedEnqueue: Factory method to create a class wrapping a new OutfeedEnqueue operation.
create(Scope, Iterable<Operand<?>>) - Static method in class org.tensorflow.op.tpu.OutfeedEnqueueTuple: Factory method to create a class wrapping a new OutfeedEnqueueTuple operation.
create(Scope, Iterable<Operand<?>>, Operand<TInt32>, List<Class<? extends TType>>, ConcreteFunction, PartitionedCall.Options...) - Static method in class org.tensorflow.op.tpu.PartitionedCall: Factory method to create a class wrapping a new TPUPartitionedCall operation.
create(Scope, Iterable<Operand<T>>, PartitionedInput.Options...) - Static method in class org.tensorflow.op.tpu.PartitionedInput: Factory method to create a class wrapping a new TPUPartitionedInput operation.
create(Scope, Operand<T>, Long, PartitionedOutput.Options...) - Static method in class org.tensorflow.op.tpu.PartitionedOutput: Factory method to create a class wrapping a new TPUPartitionedOutput operation.
create(Scope, Operand<? extends TType>, Prelinearize.Options...) - Static method in class org.tensorflow.op.tpu.Prelinearize: Factory method to create a class wrapping a new Prelinearize operation.
create(Scope, Iterable<Operand<?>>, List<Shape>, PrelinearizeTuple.Options...) - Static method in class org.tensorflow.op.tpu.PrelinearizeTuple: Factory method to create a class wrapping a new PrelinearizeTuple operation.
create(Scope, Long, String) - Static method in class org.tensorflow.op.tpu.RecvTPUEmbeddingActivations: Factory method to create a class wrapping a new RecvTPUEmbeddingActivations operation.
create(Scope, Iterable<Operand<T>>, ReplicatedInput.Options...) - Static method in class org.tensorflow.op.tpu.ReplicatedInput: Factory method to create a class wrapping a new TPUReplicatedInput operation.
create(Scope, Operand<T>, Long) - Static method in class org.tensorflow.op.tpu.ReplicatedOutput: Factory method to create a class wrapping a new TPUReplicatedOutput operation.
create(Scope, Long, ReplicateMetadata.Options...) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Factory method to create a class wrapping a new TPUReplicateMetadata operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingAdadeltaParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingAdadeltaParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingAdagradMomentumParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingAdagradMomentumParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingAdagradParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingAdagradParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingADAMParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingADAMParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingCenteredRMSPropParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingCenteredRMSPropParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingFrequencyEstimatorParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingFrequencyEstimatorParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingFTRLParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingFTRLParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingMDLAdagradLightParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingMDLAdagradLightParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingMomentumParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingMomentumParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingProximalAdagradParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingProximalAdagradParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingProximalYogiParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingProximalYogiParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingRMSPropParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingRMSPropParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingStochasticGradientDescentParameters operation.
create(Scope, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>, String, SendTPUEmbeddingGradients.Options...) - Static method in class org.tensorflow.op.tpu.SendTPUEmbeddingGradients: Factory method to create a class wrapping a new SendTPUEmbeddingGradients operation.
create(Scope) - Static method in class org.tensorflow.op.tpu.ShutdownDistributedTPU: Factory method to create a class wrapping a new ShutdownDistributedTPU operation.
create(Scope) - Static method in class org.tensorflow.op.tpu.TPUCompilationResult: Deprecated.

Factory method to create a class wrapping a new TPUCompilationResult operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Long, Long) - Static method in class org.tensorflow.op.tpu.TPUEmbeddingActivations: Deprecated.

Factory method to create a class wrapping a new TPUEmbeddingActivations operation.
create(Scope, Iterable<Operand<T>>, TPUReplicatedInput.Options...) - Static method in class org.tensorflow.op.tpu.TPUReplicatedInput: Deprecated.

Factory method to create a class wrapping a new TPUReplicatedInput operation.
create(Scope, Operand<T>, Long) - Static method in class org.tensorflow.op.tpu.TPUReplicatedOutput: Deprecated.

Factory method to create a class wrapping a new TPUReplicatedOutput operation.
create(Scope, Long, TPUReplicateMetadata.Options...) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Factory method to create a class wrapping a new TPUReplicateMetadata operation.
create(Scope, Iterable<Operand<? extends TType>>, Operand<TString>, Operand<? extends TType>) - Static method in class org.tensorflow.op.tpu.TPUReshardVariables: Factory method to create a class wrapping a new TPUReshardVariables operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.tpu.WorkerHeartbeat: Factory method to create a class wrapping a new WorkerHeartbeat operation.
create(Scope, Operand<TString>, Operand<TInt64>, Operand<? extends TType>) - Static method in class org.tensorflow.op.train.AccumulatorApplyGradient: Factory method to create a class wrapping a new AccumulatorApplyGradient operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.train.AccumulatorNumAccumulated: Factory method to create a class wrapping a new AccumulatorNumAccumulated operation.
create(Scope, Operand<TString>, Operand<TInt64>) - Static method in class org.tensorflow.op.train.AccumulatorSetGlobalStep: Factory method to create a class wrapping a new AccumulatorSetGlobalStep operation.
create(Scope, Operand<TString>, Operand<TInt32>, Class<T>) - Static method in class org.tensorflow.op.train.AccumulatorTakeGradient: Factory method to create a class wrapping a new AccumulatorTakeGradient operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdadelta.Options...) - Static method in class org.tensorflow.op.train.ApplyAdadelta: Factory method to create a class wrapping a new ApplyAdadelta operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdagrad.Options...) - Static method in class org.tensorflow.op.train.ApplyAdagrad: Factory method to create a class wrapping a new ApplyAdagrad operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<TInt64>, ApplyAdagradDa.Options...) - Static method in class org.tensorflow.op.train.ApplyAdagradDa: Factory method to create a class wrapping a new ApplyAdagradDA operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdagradV2.Options...) - Static method in class org.tensorflow.op.train.ApplyAdagradV2: Factory method to create a class wrapping a new ApplyAdagradV2 operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdam.Options...) - Static method in class org.tensorflow.op.train.ApplyAdam: Factory method to create a class wrapping a new ApplyAdam operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdaMax.Options...) - Static method in class org.tensorflow.op.train.ApplyAdaMax: Factory method to create a class wrapping a new ApplyAdaMax operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAddSign.Options...) - Static method in class org.tensorflow.op.train.ApplyAddSign: Factory method to create a class wrapping a new ApplyAddSign operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyCenteredRmsProp.Options...) - Static method in class org.tensorflow.op.train.ApplyCenteredRmsProp: Factory method to create a class wrapping a new ApplyCenteredRMSProp operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyFtrl.Options...) - Static method in class org.tensorflow.op.train.ApplyFtrl: Factory method to create a class wrapping a new ApplyFtrlV2 operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, ApplyGradientDescent.Options...) - Static method in class org.tensorflow.op.train.ApplyGradientDescent: Factory method to create a class wrapping a new ApplyGradientDescent operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyMomentum.Options...) - Static method in class org.tensorflow.op.train.ApplyMomentum: Factory method to create a class wrapping a new ApplyMomentum operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyPowerSign.Options...) - Static method in class org.tensorflow.op.train.ApplyPowerSign: Factory method to create a class wrapping a new ApplyPowerSign operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyProximalAdagrad.Options...) - Static method in class org.tensorflow.op.train.ApplyProximalAdagrad: Factory method to create a class wrapping a new ApplyProximalAdagrad operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyProximalGradientDescent.Options...) - Static method in class org.tensorflow.op.train.ApplyProximalGradientDescent: Factory method to create a class wrapping a new ApplyProximalGradientDescent operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyRmsProp.Options...) - Static method in class org.tensorflow.op.train.ApplyRmsProp: Factory method to create a class wrapping a new ApplyRMSProp operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Class<V>, BatchMatMul.Options...) - Static method in class org.tensorflow.op.train.BatchMatMul: Factory method to create a class wrapping a new BatchMatMulV3 operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.train.ComputeBatchSize: Factory method to create a class wrapping a new ComputeBatchSize operation.
create(Scope, Class<T>, Shape, ConditionalAccumulator.Options...) - Static method in class org.tensorflow.op.train.ConditionalAccumulator: Factory method to create a class wrapping a new ConditionalAccumulator operation.
create(Scope, Operand<TString>, Operand<TString>, Long, Long, GenerateVocabRemapping.Options...) - Static method in class org.tensorflow.op.train.GenerateVocabRemapping: Factory method to create a class wrapping a new GenerateVocabRemapping operation.
create(Scope, Operand<TString>, Operand<TString>, MergeV2Checkpoints.Options...) - Static method in class org.tensorflow.op.train.MergeV2Checkpoints: Factory method to create a class wrapping a new MergeV2Checkpoints operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Operand<TInt32>, Operand<TFloat32>, List<Long>, Long) - Static method in class org.tensorflow.op.train.NegTrain: Factory method to create a class wrapping a new NegTrain operation.
create(Scope, Operand<T>, PreventGradient.Options...) - Static method in class org.tensorflow.op.train.PreventGradient: Factory method to create a class wrapping a new PreventGradient operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>) - Static method in class org.tensorflow.op.train.ResourceAccumulatorApplyGradient: Factory method to create a class wrapping a new ResourceAccumulatorApplyGradient operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.train.ResourceAccumulatorNumAccumulated: Factory method to create a class wrapping a new ResourceAccumulatorNumAccumulated operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>) - Static method in class org.tensorflow.op.train.ResourceAccumulatorSetGlobalStep: Factory method to create a class wrapping a new ResourceAccumulatorSetGlobalStep operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Class<T>) - Static method in class org.tensorflow.op.train.ResourceAccumulatorTakeGradient: Factory method to create a class wrapping a new ResourceAccumulatorTakeGradient operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdadelta.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyAdadelta: Factory method to create a class wrapping a new ResourceApplyAdadelta operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdagrad.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyAdagrad: Factory method to create a class wrapping a new ResourceApplyAdagradV2 operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<TInt64>, ResourceApplyAdagradDa.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyAdagradDa: Factory method to create a class wrapping a new ResourceApplyAdagradDA operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdam.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyAdam: Factory method to create a class wrapping a new ResourceApplyAdam operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdaMax.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyAdaMax: Factory method to create a class wrapping a new ResourceApplyAdaMax operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdamWithAmsgrad.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad: Factory method to create a class wrapping a new ResourceApplyAdamWithAmsgrad operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAddSign.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyAddSign: Factory method to create a class wrapping a new ResourceApplyAddSign operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyCenteredRmsProp.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp: Factory method to create a class wrapping a new ResourceApplyCenteredRMSProp operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyFtrl.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyFtrl: Factory method to create a class wrapping a new ResourceApplyFtrlV2 operation.
create(Scope, Operand<? extends TType>, Operand<T>, Operand<T>, ResourceApplyGradientDescent.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyGradientDescent: Factory method to create a class wrapping a new ResourceApplyGradientDescent operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyKerasMomentum.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyKerasMomentum: Factory method to create a class wrapping a new ResourceApplyKerasMomentum operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyMomentum.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyMomentum: Factory method to create a class wrapping a new ResourceApplyMomentum operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyPowerSign.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyPowerSign: Factory method to create a class wrapping a new ResourceApplyPowerSign operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyProximalAdagrad.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyProximalAdagrad: Factory method to create a class wrapping a new ResourceApplyProximalAdagrad operation.
create(Scope, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyProximalGradientDescent.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent: Factory method to create a class wrapping a new ResourceApplyProximalGradientDescent operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyRmsProp.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyRmsProp: Factory method to create a class wrapping a new ResourceApplyRMSProp operation.
create(Scope, Class<T>, Shape, ResourceConditionalAccumulator.Options...) - Static method in class org.tensorflow.op.train.ResourceConditionalAccumulator: Factory method to create a class wrapping a new ResourceConditionalAccumulator operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, ResourceSparseApplyAdadelta.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdadelta: Factory method to create a class wrapping a new ResourceSparseApplyAdadelta operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<? extends TNumber>, ResourceSparseApplyAdagrad.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagrad: Factory method to create a class wrapping a new ResourceSparseApplyAdagrad operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<? extends TNumber>, Operand<T>, Operand<T>, Operand<T>, Operand<TInt64>, ResourceSparseApplyAdagradDa.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa: Factory method to create a class wrapping a new ResourceSparseApplyAdagradDA operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, ResourceSparseApplyAdagradV2.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2: Factory method to create a class wrapping a new ResourceSparseApplyAdagradV2 operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, ResourceSparseApplyCenteredRmsProp.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp: Factory method to create a class wrapping a new ResourceSparseApplyCenteredRMSProp operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<? extends TNumber>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceSparseApplyFtrl.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyFtrl: Factory method to create a class wrapping a new ResourceSparseApplyFtrlV2 operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<? extends TNumber>, Operand<T>, ResourceSparseApplyKerasMomentum.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum: Factory method to create a class wrapping a new ResourceSparseApplyKerasMomentum operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<? extends TNumber>, Operand<T>, ResourceSparseApplyMomentum.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyMomentum: Factory method to create a class wrapping a new ResourceSparseApplyMomentum operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, ResourceSparseApplyProximalAdagrad.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad: Factory method to create a class wrapping a new ResourceSparseApplyProximalAdagrad operation.
create(Scope, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, ResourceSparseApplyProximalGradientDescent.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent: Factory method to create a class wrapping a new ResourceSparseApplyProximalGradientDescent operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, ResourceSparseApplyRmsProp.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyRmsProp: Factory method to create a class wrapping a new ResourceSparseApplyRMSProp operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TString>, List<Class<? extends TType>>) - Static method in class org.tensorflow.op.train.Restore: Factory method to create a class wrapping a new RestoreV2 operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TString>, Class<T>, RestoreSlice.Options...) - Static method in class org.tensorflow.op.train.RestoreSlice: Factory method to create a class wrapping a new RestoreSlice operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TString>, Iterable<Operand<?>>) - Static method in class org.tensorflow.op.train.Save: Factory method to create a class wrapping a new SaveV2 operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TString>, Iterable<Operand<?>>) - Static method in class org.tensorflow.op.train.SaveSlices: Factory method to create a class wrapping a new SaveSlices operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.train.SdcaFprint: Factory method to create a class wrapping a new SdcaFprint operation.
create(Scope, Iterable<Operand<TInt64>>, Iterable<Operand<TInt64>>, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>, Operand<TFloat32>, Operand<TFloat32>, Iterable<Operand<TInt64>>, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>, Operand<TFloat32>, String, Float, Float, Long, Long, SdcaOptimizer.Options...) - Static method in class org.tensorflow.op.train.SdcaOptimizer: Factory method to create a class wrapping a new SdcaOptimizerV2 operation.
create(Scope, Iterable<Operand<TFloat32>>, Float, Float) - Static method in class org.tensorflow.op.train.SdcaShrinkL1: Factory method to create a class wrapping a new SdcaShrinkL1 operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, SparseApplyAdadelta.Options...) - Static method in class org.tensorflow.op.train.SparseApplyAdadelta: Factory method to create a class wrapping a new SparseApplyAdadelta operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, SparseApplyAdagrad.Options...) - Static method in class org.tensorflow.op.train.SparseApplyAdagrad: Factory method to create a class wrapping a new SparseApplyAdagradV2 operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, Operand<T>, Operand<T>, Operand<T>, Operand<TInt64>, SparseApplyAdagradDa.Options...) - Static method in class org.tensorflow.op.train.SparseApplyAdagradDa: Factory method to create a class wrapping a new SparseApplyAdagradDA operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, SparseApplyCenteredRmsProp.Options...) - Static method in class org.tensorflow.op.train.SparseApplyCenteredRmsProp: Factory method to create a class wrapping a new SparseApplyCenteredRMSProp operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, SparseApplyFtrl.Options...) - Static method in class org.tensorflow.op.train.SparseApplyFtrl: Factory method to create a class wrapping a new SparseApplyFtrlV2 operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, Operand<T>, SparseApplyMomentum.Options...) - Static method in class org.tensorflow.op.train.SparseApplyMomentum: Factory method to create a class wrapping a new SparseApplyMomentum operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, SparseApplyProximalAdagrad.Options...) - Static method in class org.tensorflow.op.train.SparseApplyProximalAdagrad: Factory method to create a class wrapping a new SparseApplyProximalAdagrad operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, SparseApplyProximalGradientDescent.Options...) - Static method in class org.tensorflow.op.train.SparseApplyProximalGradientDescent: Factory method to create a class wrapping a new SparseApplyProximalGradientDescent operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, SparseApplyRmsProp.Options...) - Static method in class org.tensorflow.op.train.SparseApplyRmsProp: Factory method to create a class wrapping a new SparseApplyRMSProp operation.
create(Scope, Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction) - Static method in class org.tensorflow.op.train.SymbolicGradient: Factory method to create a class wrapping a new SymbolicGradient operation.
create(Scope, Operand<T>, Operand<TInt32>) - Static method in class org.tensorflow.op.train.TileGrad: Factory method to create a class wrapping a new TileGrad operation.
create(Scope, Operand<T>, Operand<TInt32>, String) - Static method in class org.tensorflow.op.xla.AllReduce: Factory method to create a class wrapping a new XlaAllReduce operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<? extends TType>>, List<Long>, AssignVariableConcatND.Options...) - Static method in class org.tensorflow.op.xla.AssignVariableConcatND: Factory method to create a class wrapping a new AssignVariableXlaConcatND operation.
create(Scope, Operand<T>, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.xla.BroadcastHelper: Factory method to create a class wrapping a new XlaBroadcastHelper operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.xla.ClusterOutput: Factory method to create a class wrapping a new XlaClusterOutput operation.
create(Scope, Iterable<Operand<T>>, List<Long>, ConcatND.Options...) - Static method in class org.tensorflow.op.xla.ConcatND: Factory method to create a class wrapping a new XlaConcatND operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<V>, Operand<V>, Operand<V>, Operand<V>, Operand<V>, String, String, Class<W>) - Static method in class org.tensorflow.op.xla.Conv: Factory method to create a class wrapping a new XlaConvV2 operation.
create(Scope, Operand<? extends TType>, Float, Float, String, Boolean) - Static method in class org.tensorflow.op.xla.Dequantize: Factory method to create a class wrapping a new XlaDequantize operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, String, String, Class<V>) - Static method in class org.tensorflow.op.xla.Dot: Factory method to create a class wrapping a new XlaDotV2 operation.
create(Scope, Operand<T>, Operand, Operand) - Static method in class org.tensorflow.op.xla.DynamicSlice: Factory method to create a class wrapping a new XlaDynamicSlice operation.
create(Scope, Operand<T>, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.xla.DynamicUpdateSlice: Factory method to create a class wrapping a new XlaDynamicUpdateSlice operation.
create(Scope, Operand<T>, Operand<T>, String) - Static method in class org.tensorflow.op.xla.Einsum: Factory method to create a class wrapping a new XlaEinsum operation.
create(Scope, Operand<T>, Operand, Operand, String, Boolean) - Static method in class org.tensorflow.op.xla.Gather: Factory method to create a class wrapping a new XlaGather operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, List<Class<? extends TType>>) - Static method in class org.tensorflow.op.xla.If: Factory method to create a class wrapping a new XlaIf operation.
create(Scope, Operand<T>, Operand) - Static method in class org.tensorflow.op.xla.KeyValueSort: Factory method to create a class wrapping a new XlaKeyValueSort operation.
create(Scope, Operand<T>, Operand<T>, Operand, Operand, Operand) - Static method in class org.tensorflow.op.xla.Pad: Factory method to create a class wrapping a new XlaPad operation.
create(Scope, Operand<? extends TType>, Class<T>, Long, List<Long>, ReadVariableSplitND.Options...) - Static method in class org.tensorflow.op.xla.ReadVariableSplitND: Factory method to create a class wrapping a new ReadVariableXlaSplitND operation.
create(Scope, Class<T>, String, Shape) - Static method in class org.tensorflow.op.xla.Recv: Factory method to create a class wrapping a new XlaRecv operation.
create(Scope, Operand<T>, Operand<T>, List<Long>, ConcreteFunction) - Static method in class org.tensorflow.op.xla.Reduce: Factory method to create a class wrapping a new XlaReduce operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<TInt32>, String) - Static method in class org.tensorflow.op.xla.ReduceScatter: Factory method to create a class wrapping a new XlaReduceScatter operation.
create(Scope, Operand<T>, Operand<T>, Operand, Operand, Operand, Operand, Operand, ConcreteFunction) - Static method in class org.tensorflow.op.xla.ReduceWindow: Factory method to create a class wrapping a new XlaReduceWindow operation.
create(Scope, Operand<T>, Operand<TInt32>) - Static method in class org.tensorflow.op.xla.RemoveDynamicDimensionSize: Factory method to create a class wrapping a new XlaRemoveDynamicDimensionSize operation.
create(Scope) - Static method in class org.tensorflow.op.xla.ReplicaId: Factory method to create a class wrapping a new XlaReplicaId operation.
create(Scope, Operand<TInt32>, Operand<? extends TType>, Operand<? extends TNumber>, Class) - Static method in class org.tensorflow.op.xla.RngBitGenerator: Factory method to create a class wrapping a new XlaRngBitGenerator operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>, ConcreteFunction, String, Boolean) - Static method in class org.tensorflow.op.xla.Scatter: Factory method to create a class wrapping a new XlaScatter operation.
create(Scope, Operand<T>, Operand, Operand, Operand, Operand<T>, Operand<T>, ConcreteFunction, ConcreteFunction) - Static method in class org.tensorflow.op.xla.SelectAndScatter: Factory method to create a class wrapping a new XlaSelectAndScatter operation.
create(Scope, Operand<T>, Boolean, Long, Float) - Static method in class org.tensorflow.op.xla.SelfAdjointEig: Factory method to create a class wrapping a new XlaSelfAdjointEig operation.
create(Scope, Operand<? extends TType>, String) - Static method in class org.tensorflow.op.xla.Send: Factory method to create a class wrapping a new XlaSend operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<TInt32>) - Static method in class org.tensorflow.op.xla.SetDynamicDimensionSize: Factory method to create a class wrapping a new XlaSetDynamicDimensionSize operation.
create(Scope, Operand<T>, Sharding.Options...) - Static method in class org.tensorflow.op.xla.Sharding: Factory method to create a class wrapping a new XlaSharding operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.xla.Sort: Factory method to create a class wrapping a new XlaSort operation.
create(Scope, Operand<T>, Long, List<Long>, SplitND.Options...) - Static method in class org.tensorflow.op.xla.SplitND: Factory method to create a class wrapping a new XlaSplitND operation.
create(Scope, Operand<T>, String, SpmdFullToShardShape.Options...) - Static method in class org.tensorflow.op.xla.SpmdFullToShardShape: Factory method to create a class wrapping a new XlaSpmdFullToShardShape operation.
create(Scope, Operand<T>, String, Shape, SpmdShardToFullShape.Options...) - Static method in class org.tensorflow.op.xla.SpmdShardToFullShape: Factory method to create a class wrapping a new XlaSpmdShardToFullShape operation.
create(Scope, Operand<T>, Long, Float, String) - Static method in class org.tensorflow.op.xla.Svd: Factory method to create a class wrapping a new XlaSvd operation.
create(Scope, Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction) - Static method in class org.tensorflow.op.xla.While: Factory method to create a class wrapping a new XlaWhile operation.
create(Scope, Iterable<Operand<?>>, List<Class<? extends TType>>, List<String>, List<Shape>, ConcreteFunction, String, XlaHostCompute.Options...) - Static method in class org.tensorflow.op.xla.XlaHostCompute: Factory method to create a class wrapping a new XlaHostCompute operation.
create(Scope, Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<? extends TType>>, List<Class<? extends TType>>, ConcreteFunction) - Static method in class org.tensorflow.op.xla.XlaLaunch: Factory method to create a class wrapping a new XlaLaunch operation.
create(Scope, Class<T>, Shape, String) - Static method in class org.tensorflow.op.xla.XlaRecvFromHost: Factory method to create a class wrapping a new XlaRecvFromHost operation.
create(Scope, Operand<? extends TType>, String) - Static method in class org.tensorflow.op.xla.XlaSendToHost: Factory method to create a class wrapping a new XlaSendToHost operation.
create(Scope, Operand<TInt32>, Operand<TInt32>) - Static method in class org.tensorflow.op.xla.XlaSetBound: Factory method to create a class wrapping a new XlaSetBound operation.
create(Scope, Iterable<Operand<?>>, Iterable<Operand<?>>, List<Long>, ConcreteFunction) - Static method in class org.tensorflow.op.xla.XlaVariadicReduce: Factory method to create a class wrapping a new XlaVariadicReduceV2 operation.
create(Scope, Iterable<Operand<?>>, Operand<TInt32>, ConcreteFunction, Boolean) - Static method in class org.tensorflow.op.xla.XlaVariadicSort: Factory method to create a class wrapping a new XlaVariadicSort operation.
create(Signature, Session) - Static method in class org.tensorflow.SessionFunction
Create_func_TF_OpKernelConstruction - Class in org.tensorflow.internal.c_api
Create_func_TF_OpKernelConstruction(Pointer) - Constructor for class org.tensorflow.internal.c_api.Create_func_TF_OpKernelConstruction: Pointer cast constructor.
Create_func_TF_OpKernelConstruction() - Constructor for class org.tensorflow.internal.c_api.Create_func_TF_OpKernelConstruction
CreateSummaryDbWriter - Class in org.tensorflow.op.summary: The CreateSummaryDbWriter operation
CreateSummaryDbWriter(Operation) - Constructor for class org.tensorflow.op.summary.CreateSummaryDbWriter
CreateSummaryDbWriter.Inputs - Class in org.tensorflow.op.summary
CreateSummaryFileWriter - Class in org.tensorflow.op.summary: The CreateSummaryFileWriter operation
CreateSummaryFileWriter(Operation) - Constructor for class org.tensorflow.op.summary.CreateSummaryFileWriter
CreateSummaryFileWriter.Inputs - Class in org.tensorflow.op.summary
createVariableWithInit(Scope, Operand<T>, Variable.Options...) - Static method in class org.tensorflow.op.core.Helpers: Factory method to create a new Variable with its initializer.
CREATION_TIMESTAMP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
CropAndResize - Class in org.tensorflow.op.image: Extracts crops from the input image tensor and resizes them.
CropAndResize(Operation) - Constructor for class org.tensorflow.op.image.CropAndResize
cropAndResize(Operand<? extends TNumber>, Operand<TFloat32>, Operand<TInt32>, Operand<TInt32>, CropAndResize.Options...) - Method in class org.tensorflow.op.ImageOps: Extracts crops from the input image tensor and resizes them.
CropAndResize.Inputs - Class in org.tensorflow.op.image
CropAndResize.Options - Class in org.tensorflow.op.image: Optional attributes for CropAndResize
CropAndResizeGradBoxes - Class in org.tensorflow.op.image: Computes the gradient of the crop_and_resize op wrt the input boxes tensor.
CropAndResizeGradBoxes(Operation) - Constructor for class org.tensorflow.op.image.CropAndResizeGradBoxes
cropAndResizeGradBoxes(Operand<TFloat32>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TInt32>, CropAndResizeGradBoxes.Options...) - Method in class org.tensorflow.op.ImageOps: Computes the gradient of the crop_and_resize op wrt the input boxes tensor.
CropAndResizeGradBoxes.Inputs - Class in org.tensorflow.op.image
CropAndResizeGradBoxes.Options - Class in org.tensorflow.op.image: Optional attributes for CropAndResizeGradBoxes
CropAndResizeGradImage<T extends TNumber> - Class in org.tensorflow.op.image: Computes the gradient of the crop_and_resize op wrt the input image tensor.
CropAndResizeGradImage(Operation) - Constructor for class org.tensorflow.op.image.CropAndResizeGradImage
cropAndResizeGradImage(Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Operand<TInt32>, Class<T>, CropAndResizeGradImage.Options...) - Method in class org.tensorflow.op.ImageOps: Computes the gradient of the crop_and_resize op wrt the input image tensor.
CropAndResizeGradImage.Inputs - Class in org.tensorflow.op.image
CropAndResizeGradImage.Options - Class in org.tensorflow.op.image: Optional attributes for CropAndResizeGradImage
crops - Variable in class org.tensorflow.op.core.BatchToSpace.Inputs: 2-D tensor of non-negative integers with shape [2, 2].
crops - Variable in class org.tensorflow.op.core.BatchToSpaceNd.Inputs: 2-D with shape [M, 2], all values must be >= 0.
crops() - Method in class org.tensorflow.op.image.CropAndResize: Gets crops.
cropSize - Variable in class org.tensorflow.op.image.CropAndResize.Inputs: A 1-D tensor of 2 elements, size = [crop_height, crop_width].
cropWindow - Variable in class org.tensorflow.op.image.DecodeAndCropJpeg.Inputs: 1-D.
Cross<T extends TNumber> - Class in org.tensorflow.op.linalg: Compute the pairwise cross product.
Cross(Operation) - Constructor for class org.tensorflow.op.linalg.Cross
cross(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.LinalgOps: Compute the pairwise cross product.
Cross.Inputs<T extends TNumber> - Class in org.tensorflow.op.linalg
CrossReplicaSum<T extends TNumber> - Class in org.tensorflow.op.tpu: An Op to sum inputs across replicated TPU instances.
CrossReplicaSum(Operation) - Constructor for class org.tensorflow.op.tpu.CrossReplicaSum
CrossReplicaSum.Inputs<T extends TNumber> - Class in org.tensorflow.op.tpu
cs() - Method in class org.tensorflow.op.nn.BlockLSTM: Gets cs.
cs - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The cell state before the tanh over the whole time sequence.
cs() - Method in class org.tensorflow.op.nn.LSTMBlockCell: Gets cs.
cs - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The cell state before the tanh.
csGrad - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The current gradient of cs.
csGrad - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The current gradient of cs.
csPrev - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: Value of the initial cell state.
csPrev - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: Value of the initial cell state.
csPrev - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: Value of the cell state at previous time step.
csPrev - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The previous cell state.
csPrevGrad() - Method in class org.tensorflow.op.nn.BlockLSTMGrad: Gets csPrevGrad.
csPrevGrad() - Method in class org.tensorflow.op.nn.LSTMBlockCellGrad: Gets csPrevGrad.
csrSparseMatrix - Variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents.Inputs: A batched CSRSparseMatrix.
CSRSparseMatrixComponents<T extends TType> - Class in org.tensorflow.op.linalg.sparse: Reads out the CSR components at batch index.
CSRSparseMatrixComponents(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents
CSRSparseMatrixComponents.Inputs - Class in org.tensorflow.op.linalg.sparse
CSRSparseMatrixToDense<T extends TType> - Class in org.tensorflow.op.linalg.sparse: Convert a (possibly batched) CSRSparseMatrix to dense.
CSRSparseMatrixToDense(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToDense
CSRSparseMatrixToDense.Inputs - Class in org.tensorflow.op.linalg.sparse
CSRSparseMatrixToSparseTensor<T extends TType> - Class in org.tensorflow.op.linalg.sparse: Converts a (possibly batched) CSRSparesMatrix to a SparseTensor.
CSRSparseMatrixToSparseTensor(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToSparseTensor
CSRSparseMatrixToSparseTensor.Inputs - Class in org.tensorflow.op.linalg.sparse
CSVDataset - Class in org.tensorflow.op.data: The CSVDatasetV2 operation
CSVDataset(Operation) - Constructor for class org.tensorflow.op.data.CSVDataset
CSVDataset - Class in org.tensorflow.op.data.experimental: The ExperimentalCSVDataset operation
CSVDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.CSVDataset
cSVDataset(Operand<TString>, Operand<TString>, Operand<TInt64>, Operand<TBool>, Operand<TString>, Operand<TBool>, Operand<TString>, Operand<TInt64>, Iterable<Operand<?>>, Operand<TInt64>, List<Shape>) - Method in class org.tensorflow.op.DataOps: The CSVDatasetV2 operation
CSVDataset.Inputs - Class in org.tensorflow.op.data
CSVDataset.Inputs - Class in org.tensorflow.op.data.experimental
CtcBeamSearchDecoder<T extends TNumber> - Class in org.tensorflow.op.nn: Performs beam search decoding on the logits given in input.
CtcBeamSearchDecoder(Operation) - Constructor for class org.tensorflow.op.nn.CtcBeamSearchDecoder
ctcBeamSearchDecoder(Operand<T>, Operand<TInt32>, Long, Long, CtcBeamSearchDecoder.Options...) - Method in class org.tensorflow.op.NnOps: Performs beam search decoding on the logits given in input.
CtcBeamSearchDecoder.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
CtcBeamSearchDecoder.Options - Class in org.tensorflow.op.nn: Optional attributes for CtcBeamSearchDecoder
CtcGreedyDecoder<T extends TNumber> - Class in org.tensorflow.op.nn: Performs greedy decoding on the logits given in inputs.
CtcGreedyDecoder(Operation) - Constructor for class org.tensorflow.op.nn.CtcGreedyDecoder
ctcGreedyDecoder(Operand<T>, Operand<TInt32>, CtcGreedyDecoder.Options...) - Method in class org.tensorflow.op.NnOps: Performs greedy decoding on the logits given in inputs.
CtcGreedyDecoder.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
CtcGreedyDecoder.Options - Class in org.tensorflow.op.nn: Optional attributes for CtcGreedyDecoder
CtcLoss<T extends TNumber> - Class in org.tensorflow.op.nn: Calculates the CTC Loss (log probability) for each batch entry.
CtcLoss(Operation) - Constructor for class org.tensorflow.op.nn.CtcLoss
ctcLoss(Operand<T>, Operand<TInt64>, Operand<TInt32>, Operand<TInt32>, CtcLoss.Options...) - Method in class org.tensorflow.op.NnOps: Calculates the CTC Loss (log probability) for each batch entry.
CtcLoss.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
CtcLoss.Options - Class in org.tensorflow.op.nn: Optional attributes for CtcLoss
CTCLossV2 - Class in org.tensorflow.op.nn: Calculates the CTC Loss (log probability) for each batch entry.
CTCLossV2(Operation) - Constructor for class org.tensorflow.op.nn.CTCLossV2
CTCLossV2.Inputs - Class in org.tensorflow.op.nn
CTCLossV2.Options - Class in org.tensorflow.op.nn: Optional attributes for CTCLossV2
ctcMergeRepeated(Boolean) - Static method in class org.tensorflow.op.nn.CtcLoss: Sets the ctcMergeRepeated option.
ctcMergeRepeated - Variable in class org.tensorflow.op.nn.CtcLoss.Inputs: Scalar.
ctcMergeRepeated(Boolean) - Method in class org.tensorflow.op.nn.CtcLoss.Options: Sets the ctcMergeRepeated option.
ctcMergeRepeated(Boolean) - Static method in class org.tensorflow.op.nn.CTCLossV2: Sets the ctcMergeRepeated option.
ctcMergeRepeated - Variable in class org.tensorflow.op.nn.CTCLossV2.Inputs: Scalar.
ctcMergeRepeated(Boolean) - Method in class org.tensorflow.op.nn.CTCLossV2.Options: Sets the ctcMergeRepeated option.
CudnnRNN<T extends TNumber> - Class in org.tensorflow.op.nn: A RNN backed by cuDNN.
CudnnRNN(Operation) - Constructor for class org.tensorflow.op.nn.CudnnRNN
CudnnRNN.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
CudnnRNN.Options - Class in org.tensorflow.op.nn: Optional attributes for CudnnRNN
CudnnRNNBackprop<T extends TNumber> - Class in org.tensorflow.op.nn: Backprop step of CudnnRNNV3.
CudnnRNNBackprop(Operation) - Constructor for class org.tensorflow.op.nn.CudnnRNNBackprop
CudnnRNNBackprop.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
CudnnRNNBackprop.Options - Class in org.tensorflow.op.nn: Optional attributes for CudnnRNNBackprop
CudnnRNNCanonicalToParams<T extends TNumber> - Class in org.tensorflow.op.nn: Converts CudnnRNN params from canonical form to usable form.
CudnnRNNCanonicalToParams(Operation) - Constructor for class org.tensorflow.op.nn.CudnnRNNCanonicalToParams
cudnnRNNCanonicalToParams(Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Iterable<Operand<T>>, Iterable<Operand<T>>, CudnnRNNCanonicalToParams.Options...) - Method in class org.tensorflow.op.NnOps: Converts CudnnRNN params from canonical form to usable form.
CudnnRNNCanonicalToParams.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
CudnnRNNCanonicalToParams.Options - Class in org.tensorflow.op.nn: Optional attributes for CudnnRNNCanonicalToParams
CudnnRnnParamsSize<T extends TNumber> - Class in org.tensorflow.op.nn: Computes size of weights that can be used by a Cudnn RNN model.
CudnnRnnParamsSize(Operation) - Constructor for class org.tensorflow.op.nn.CudnnRnnParamsSize
cudnnRnnParamsSize(Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Class, Class<T>, CudnnRnnParamsSize.Options...) - Method in class org.tensorflow.op.NnOps: Computes size of weights that can be used by a Cudnn RNN model.
CudnnRnnParamsSize.Inputs - Class in org.tensorflow.op.nn
CudnnRnnParamsSize.Options - Class in org.tensorflow.op.nn: Optional attributes for CudnnRnnParamsSize
CudnnRNNParamsToCanonical<T extends TNumber> - Class in org.tensorflow.op.nn: Retrieves CudnnRNN params in canonical form.
CudnnRNNParamsToCanonical(Operation) - Constructor for class org.tensorflow.op.nn.CudnnRNNParamsToCanonical
cudnnRNNParamsToCanonical(Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Operand<T>, Long, Long, CudnnRNNParamsToCanonical.Options...) - Method in class org.tensorflow.op.NnOps: Retrieves CudnnRNN params in canonical form.
CudnnRNNParamsToCanonical.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
CudnnRNNParamsToCanonical.Options - Class in org.tensorflow.op.nn: Optional attributes for CudnnRNNParamsToCanonical
Cumprod<T extends TType> - Class in org.tensorflow.op.math: Compute the cumulative product of the tensor x along axis.
Cumprod(Operation) - Constructor for class org.tensorflow.op.math.Cumprod
cumprod(Operand<T>, Operand<? extends TNumber>, Cumprod.Options...) - Method in class org.tensorflow.op.MathOps: Compute the cumulative product of the tensor x along axis.
Cumprod.Inputs<T extends TType> - Class in org.tensorflow.op.math
Cumprod.Options - Class in org.tensorflow.op.math: Optional attributes for Cumprod
Cumsum<T extends TType> - Class in org.tensorflow.op.math: Compute the cumulative sum of the tensor x along axis.
Cumsum(Operation) - Constructor for class org.tensorflow.op.math.Cumsum
cumsum(Operand<T>, Operand<? extends TNumber>, Cumsum.Options...) - Method in class org.tensorflow.op.MathOps: Compute the cumulative sum of the tensor x along axis.
Cumsum.Inputs<T extends TType> - Class in org.tensorflow.op.math
Cumsum.Options - Class in org.tensorflow.op.math: Optional attributes for Cumsum
CumulativeLogsumexp<T extends TNumber> - Class in org.tensorflow.op.math: Compute the cumulative product of the tensor x along axis.
CumulativeLogsumexp(Operation) - Constructor for class org.tensorflow.op.math.CumulativeLogsumexp
CumulativeLogsumexp.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
CumulativeLogsumexp.Options - Class in org.tensorflow.op.math: Optional attributes for CumulativeLogsumexp
CURRENT_WORK_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ReaderBaseState
currentEpoch() - Method in class org.tensorflow.op.core.Skipgram: Gets currentEpoch.
CURT_HEALTH_VALUE - Static variable in enum org.tensorflow.proto.util.TensorDebugMode: A minimalist health summary for float-type tensors.
CUSTOM_OPTIMIZERS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
CustomGradient<T extends RawOpInputs> - Interface in org.tensorflow.op: A custom gradient for ops of type T.
cycleLength - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The cycleLength input
cycleLength - Variable in class org.tensorflow.op.data.InterleaveDataset.Inputs: The cycleLength input
cycleLength - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The cycleLength input
cycleLength - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: Number of datasets (each created by applying f to the elements of input_dataset) among which the ParallelInterleaveDatasetV2 will cycle in a round-robin fashion.

D

data() - Method in class org.tensorflow.internal.c_api.TF_Buffer
data(Pointer) - Method in class org.tensorflow.internal.c_api.TF_Buffer
data() - Method in class org.tensorflow.internal.c_api.TF_StringView
data(BytePointer) - Method in class org.tensorflow.internal.c_api.TF_StringView
data() - Method in class org.tensorflow.op.collective.CollectiveAllToAll: Gets data.
data() - Method in class org.tensorflow.op.collective.CollectiveBcastRecv: Gets data.
data() - Method in class org.tensorflow.op.collective.CollectiveBcastSend: Gets data.
data() - Method in class org.tensorflow.op.collective.CollectiveGather: Gets data.
data() - Method in class org.tensorflow.op.collective.CollectiveReduce: Gets data.
data - Variable in class org.tensorflow.op.core.AssertThat.Inputs: The tensors to print out when condition is false.
data - Variable in class org.tensorflow.op.core.DynamicPartition.Inputs: The data input
data - Variable in class org.tensorflow.op.core.DynamicStitch.Inputs: The data input
data - Variable in class org.tensorflow.op.core.Enter.Inputs: The tensor to be made available to the child frame.
data - Variable in class org.tensorflow.op.core.Exit.Inputs: The tensor to be made available to the parent frame.
data - Variable in class org.tensorflow.op.core.Fingerprint.Inputs: Must have rank 1 or higher.
data() - Method in class org.tensorflow.op.core.NcclAllReduce: Deprecated.

Gets data.
data() - Method in class org.tensorflow.op.core.NcclReduce: Deprecated.

Gets data.
data - Variable in class org.tensorflow.op.core.NextIteration.Inputs: The tensor to be made available to the next iteration.
data - Variable in class org.tensorflow.op.core.ParallelDynamicStitch.Inputs: The data input
data - Variable in class org.tensorflow.op.core.RefEnter.Inputs: The tensor to be made available to the child frame.
data - Variable in class org.tensorflow.op.core.RefExit.Inputs: The tensor to be made available to the parent frame.
data - Variable in class org.tensorflow.op.core.RefNextIteration.Inputs: The tensor to be made available to the next iteration.
data - Variable in class org.tensorflow.op.core.RefSwitch.Inputs: The ref tensor to be forwarded to the appropriate output.
data - Variable in class org.tensorflow.op.core.SwitchCond.Inputs: The tensor to be forwarded to the appropriate output.
data() - Method in class org.tensorflow.op.distribute.NcclAllReduce: Gets data.
data() - Method in class org.tensorflow.op.distribute.NcclReduce: Gets data.
data - Variable in class org.tensorflow.op.math.SegmentMax.Inputs: The data input
data - Variable in class org.tensorflow.op.math.SegmentMean.Inputs: The data input
data - Variable in class org.tensorflow.op.math.SegmentMin.Inputs: The data input
data - Variable in class org.tensorflow.op.math.SegmentProd.Inputs: The data input
data - Variable in class org.tensorflow.op.math.SegmentSum.Inputs: The data input
data - Variable in class org.tensorflow.op.math.UnsortedSegmentMax.Inputs: The data input
data - Variable in class org.tensorflow.op.math.UnsortedSegmentMin.Inputs: The data input
data - Variable in class org.tensorflow.op.math.UnsortedSegmentProd.Inputs: The data input
data - Variable in class org.tensorflow.op.math.UnsortedSegmentSum.Inputs: The data input
data - Variable in class org.tensorflow.op.Ops
data - Variable in class org.tensorflow.op.sparse.SparseSegmentMean.Inputs: The data input
data - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs: The data input
data - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtN.Inputs: The data input
data - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs: The data input
data - Variable in class org.tensorflow.op.sparse.SparseSegmentSum.Inputs: The data input
data - Variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs: The data input
data - Variable in class org.tensorflow.op.strings.StringNGrams.Inputs: The values tensor of the ragged string tensor to make ngrams out of.
data - Variable in class org.tensorflow.op.train.SaveSlices.Inputs: N tensors to save.
data() - Method in class org.tensorflow.RawTensor: Returns the raw data of this tensor as a buffer of bytes.
DATA_CLASS_BLOB_SEQUENCE_VALUE - Static variable in enum org.tensorflow.proto.framework.DataClass: Blob sequence time series.
DATA_CLASS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SummaryMetadata
DATA_CLASS_SCALAR_VALUE - Static variable in enum org.tensorflow.proto.framework.DataClass: Scalar time series.
DATA_CLASS_TENSOR_VALUE - Static variable in enum org.tensorflow.proto.framework.DataClass: Tensor time series.
DATA_CLASS_UNKNOWN_VALUE - Static variable in enum org.tensorflow.proto.framework.DataClass: Unknown data class, used (implicitly) for legacy data.
DATA_DATASET_SPEC_VALUE - Static variable in enum org.tensorflow.proto.framework.TypeSpecProto.TypeSpecClass: tf.data.DatasetSpec
data_deallocator() - Method in class org.tensorflow.internal.c_api.TF_Buffer
data_deallocator(TF_Buffer.Data_deallocator_Pointer_long) - Method in class org.tensorflow.internal.c_api.TF_Buffer
Data_deallocator_Pointer_long(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_Buffer.Data_deallocator_Pointer_long: Pointer cast constructor.
Data_deallocator_Pointer_long() - Constructor for class org.tensorflow.internal.c_api.TF_Buffer.Data_deallocator_Pointer_long
DATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
DATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.SavedSlice
DATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.SavedTensorSlices
DATA_ITERATOR_SPEC_VALUE - Static variable in enum org.tensorflow.proto.framework.TypeSpecProto.TypeSpecClass: IteratorSpec from data/ops/iterator_ops.py
DATA_LOSS_VALUE - Static variable in enum org.tensorflow.proto.framework.Code: Unrecoverable data loss or corruption.
DATA_TRANSFER_ADDRESS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
DATA_TRANSFER_PROTOCOL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
DATA_VALUE - Static variable in enum org.tensorflow.proto.data.AutoShardPolicy: DATA: Shards by elements produced by the dataset.
DATA_VALUE - Static variable in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy: Shards by elements produced by the dataset.
dataAsByteBuffer() - Method in class org.tensorflow.internal.c_api.AbstractTF_Buffer: Returns the data of this buffer as a ByteBuffer
DataClass - Enum in org.tensorflow.proto.framework: Protobuf enum tensorflow.DataClass
dataFormat(String) - Static method in class org.tensorflow.op.nn.AvgPool: Sets the dataFormat option.
dataFormat - Variable in class org.tensorflow.op.nn.AvgPool.Inputs: Specify the data format of the input and output data.
dataFormat(String) - Method in class org.tensorflow.op.nn.AvgPool.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.AvgPool3d: Sets the dataFormat option.
dataFormat - Variable in class org.tensorflow.op.nn.AvgPool3d.Inputs: The data format of the input and output data.
dataFormat(String) - Method in class org.tensorflow.op.nn.AvgPool3d.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.AvgPool3dGrad: Sets the dataFormat option.
dataFormat - Variable in class org.tensorflow.op.nn.AvgPool3dGrad.Inputs: The data format of the input and output data.
dataFormat(String) - Method in class org.tensorflow.op.nn.AvgPool3dGrad.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.AvgPoolGrad: Sets the dataFormat option.
dataFormat - Variable in class org.tensorflow.op.nn.AvgPoolGrad.Inputs: Specify the data format of the input and output data.
dataFormat(String) - Method in class org.tensorflow.op.nn.AvgPoolGrad.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.BiasAdd: Sets the dataFormat option.
dataFormat - Variable in class org.tensorflow.op.nn.BiasAdd.Inputs: Specify the data format of the input and output data.
dataFormat(String) - Method in class org.tensorflow.op.nn.BiasAdd.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.BiasAddGrad: Sets the dataFormat option.
dataFormat - Variable in class org.tensorflow.op.nn.BiasAddGrad.Inputs: Specify the data format of the input and output data.
dataFormat(String) - Method in class org.tensorflow.op.nn.BiasAddGrad.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv2d: Sets the dataFormat option.
dataFormat - Variable in class org.tensorflow.op.nn.Conv2d.Inputs: Specify the data format of the input and output data.
dataFormat(String) - Method in class org.tensorflow.op.nn.Conv2d.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilter: Sets the dataFormat option.
dataFormat - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: Specify the data format of the input and output data.
dataFormat(String) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInput: Sets the dataFormat option.
dataFormat - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: Specify the data format of the input and output data.
dataFormat(String) - Method in class org.tensorflow.op.nn.Conv2dBackpropInput.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv3d: Sets the dataFormat option.
dataFormat - Variable in class org.tensorflow.op.nn.Conv3d.Inputs: The data format of the input and output data.
dataFormat(String) - Method in class org.tensorflow.op.nn.Conv3d.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv3dBackpropFilter: Sets the dataFormat option.
dataFormat - Variable in class org.tensorflow.op.nn.Conv3dBackpropFilter.Inputs: The data format of the input and output data.
dataFormat(String) - Method in class org.tensorflow.op.nn.Conv3dBackpropFilter.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv3dBackpropInput: Sets the dataFormat option.
dataFormat - Variable in class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs: The data format of the input and output data.
dataFormat(String) - Method in class org.tensorflow.op.nn.Conv3dBackpropInput.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.DepthToSpace: Sets the dataFormat option.
dataFormat - Variable in class org.tensorflow.op.nn.DepthToSpace.Inputs: The dataFormat attribute
dataFormat(String) - Method in class org.tensorflow.op.nn.DepthToSpace.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNative: Sets the dataFormat option.
dataFormat - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNative.Inputs: Specify the data format of the input and output data.
dataFormat(String) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNative.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter: Sets the dataFormat option.
dataFormat - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs: Specify the data format of the input and output data.
dataFormat(String) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput: Sets the dataFormat option.
dataFormat - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs: Specify the data format of the input and output data.
dataFormat(String) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.FusedBatchNorm: Sets the dataFormat option.
dataFormat - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: The data format for x and y.
dataFormat(String) - Method in class org.tensorflow.op.nn.FusedBatchNorm.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.FusedBatchNormGrad: Sets the dataFormat option.
dataFormat - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: The data format for y_backprop, x, x_backprop.
dataFormat(String) - Method in class org.tensorflow.op.nn.FusedBatchNormGrad.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.MaxPool: Sets the dataFormat option.
dataFormat - Variable in class org.tensorflow.op.nn.MaxPool.Inputs: Specify the data format of the input and output data.
dataFormat(String) - Method in class org.tensorflow.op.nn.MaxPool.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.MaxPool3d: Sets the dataFormat option.
dataFormat - Variable in class org.tensorflow.op.nn.MaxPool3d.Inputs: The data format of the input and output data.
dataFormat(String) - Method in class org.tensorflow.op.nn.MaxPool3d.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.MaxPool3dGrad: Sets the dataFormat option.
dataFormat - Variable in class org.tensorflow.op.nn.MaxPool3dGrad.Inputs: The data format of the input and output data.
dataFormat(String) - Method in class org.tensorflow.op.nn.MaxPool3dGrad.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.MaxPool3dGradGrad: Sets the dataFormat option.
dataFormat - Variable in class org.tensorflow.op.nn.MaxPool3dGradGrad.Inputs: The data format of the input and output data.
dataFormat(String) - Method in class org.tensorflow.op.nn.MaxPool3dGradGrad.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.MaxPoolGrad: Sets the dataFormat option.
dataFormat - Variable in class org.tensorflow.op.nn.MaxPoolGrad.Inputs: Specify the data format of the input and output data.
dataFormat(String) - Method in class org.tensorflow.op.nn.MaxPoolGrad.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.MaxPoolGradGrad: Sets the dataFormat option.
dataFormat - Variable in class org.tensorflow.op.nn.MaxPoolGradGrad.Inputs: Specify the data format of the input and output data.
dataFormat(String) - Method in class org.tensorflow.op.nn.MaxPoolGradGrad.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.SpaceToDepth: Sets the dataFormat option.
dataFormat - Variable in class org.tensorflow.op.nn.SpaceToDepth.Inputs: The dataFormat attribute
dataFormat(String) - Method in class org.tensorflow.op.nn.SpaceToDepth.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.risc.RiscConv: Sets the dataFormat option.
dataFormat - Variable in class org.tensorflow.op.risc.RiscConv.Inputs: The dataFormat attribute
dataFormat(String) - Method in class org.tensorflow.op.risc.RiscConv.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.risc.RiscPool: Sets the dataFormat option.
dataFormat - Variable in class org.tensorflow.op.risc.RiscPool.Inputs: The dataFormat attribute
dataFormat(String) - Method in class org.tensorflow.op.risc.RiscPool.Options: Sets the dataFormat option.
DataFormatDimMap<T extends TNumber> - Class in org.tensorflow.op.nn: Returns the dimension index in the destination data format given the one in the source data format.
DataFormatDimMap(Operation) - Constructor for class org.tensorflow.op.nn.DataFormatDimMap
dataFormatDimMap(Operand<T>, DataFormatDimMap.Options...) - Method in class org.tensorflow.op.NnOps: Returns the dimension index in the destination data format given the one in the source data format.
DataFormatDimMap.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
DataFormatDimMap.Options - Class in org.tensorflow.op.nn: Optional attributes for DataFormatDimMap
DataFormatVecPermute<T extends TNumber> - Class in org.tensorflow.op.nn: Permute input tensor from src_format to dst_format.
DataFormatVecPermute(Operation) - Constructor for class org.tensorflow.op.nn.DataFormatVecPermute
dataFormatVecPermute(Operand<T>, DataFormatVecPermute.Options...) - Method in class org.tensorflow.op.NnOps: Permute input tensor from src_format to dst_format.
DataFormatVecPermute.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
DataFormatVecPermute.Options - Class in org.tensorflow.op.nn: Optional attributes for DataFormatVecPermute
dataInputDatasets - Variable in class org.tensorflow.op.data.DirectedInterleaveDataset.Inputs: N datasets with the same type that will be interleaved according to the values of selector_input_dataset.
dataInputDatasets - Variable in class org.tensorflow.op.data.experimental.DirectedInterleaveDataset.Inputs: N datasets with the same type that will be interleaved according to the values of selector_input_dataset.
DataOps - Class in org.tensorflow.op: An API for building data operations as Ops
DataService - Class in org.tensorflow.proto.data
DataService.ProcessingModeDef - Class in org.tensorflow.proto.data: Protobuf type tensorflow.data.ProcessingModeDef
DataService.ProcessingModeDef.Builder - Class in org.tensorflow.proto.data: Protobuf type tensorflow.data.ProcessingModeDef
DataService.ProcessingModeDef.ShardingPolicy - Enum in org.tensorflow.proto.data: Specifies how data is sharded among tf.data service workers.
DataService.ProcessingModeDefOrBuilder - Interface in org.tensorflow.proto.data
DataServiceDatasetV2 - Class in org.tensorflow.op.data: Creates a dataset that reads data from the tf.data service.
DataServiceDatasetV2(Operation) - Constructor for class org.tensorflow.op.data.DataServiceDatasetV2
dataServiceDatasetV2(Operand<TInt64>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, DataServiceDatasetV2.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that reads data from the tf.data service.
DataServiceDatasetV2.Inputs - Class in org.tensorflow.op.data
DataServiceDatasetV2.Options - Class in org.tensorflow.op.data: Optional attributes for DataServiceDatasetV2
dataset - Variable in class org.tensorflow.op.core.GetElementAtIndex.Inputs: The dataset input
dataset - Variable in class org.tensorflow.op.data.DatasetToSingleElement.Inputs: A handle to a dataset that contains a single element.
dataset - Variable in class org.tensorflow.op.data.InitializeTableFromDataset.Inputs: The dataset input
dataset - Variable in class org.tensorflow.op.data.MakeIterator.Inputs: The dataset input
dataset - Variable in class org.tensorflow.op.data.MultiDeviceIteratorInit.Inputs: Dataset to be iterated upon.
dataset - Variable in class org.tensorflow.op.data.RegisterDataset.Inputs: The dataset input
DatasetCardinality - Class in org.tensorflow.op.data: Returns the cardinality of input_dataset.
DatasetCardinality(Operation) - Constructor for class org.tensorflow.op.data.DatasetCardinality
DatasetCardinality - Class in org.tensorflow.op.data.experimental: Returns the cardinality of input_dataset.
DatasetCardinality(Operation) - Constructor for class org.tensorflow.op.data.experimental.DatasetCardinality
datasetCardinality(Operand<? extends TType>) - Method in class org.tensorflow.op.DataOps: Returns the cardinality of input_dataset.
DatasetCardinality.Inputs - Class in org.tensorflow.op.data
DatasetCardinality.Inputs - Class in org.tensorflow.op.data.experimental
DatasetFromGraph - Class in org.tensorflow.op.data: Creates a dataset from the given graph_def.
DatasetFromGraph(Operation) - Constructor for class org.tensorflow.op.data.DatasetFromGraph
datasetFromGraph(Operand<TString>) - Method in class org.tensorflow.op.DataOps: Creates a dataset from the given graph_def.
DatasetFromGraph.Inputs - Class in org.tensorflow.op.data
datasetId - Variable in class org.tensorflow.op.data.DataServiceDatasetV2.Inputs: The datasetId input
datasetId() - Method in class org.tensorflow.op.data.RegisterDataset: Gets datasetId.
DatasetMetadata - Class in org.tensorflow.proto.data
DatasetMetadata.Metadata - Class in org.tensorflow.proto.data: next: 2
DatasetMetadata.Metadata.Builder - Class in org.tensorflow.proto.data: next: 2
DatasetMetadata.MetadataOrBuilder - Interface in org.tensorflow.proto.data
DatasetOptionsProtos - Class in org.tensorflow.proto.data
DatasetToGraph - Class in org.tensorflow.op.data: Returns a serialized GraphDef representing input_dataset.
DatasetToGraph(Operation) - Constructor for class org.tensorflow.op.data.DatasetToGraph
datasetToGraph(Operand<? extends TType>, DatasetToGraph.Options...) - Method in class org.tensorflow.op.DataOps: Returns a serialized GraphDef representing input_dataset.
DatasetToGraph.Inputs - Class in org.tensorflow.op.data
DatasetToGraph.Options - Class in org.tensorflow.op.data: Optional attributes for DatasetToGraph
DatasetToSingleElement - Class in org.tensorflow.op.data: Outputs the single element from the given dataset.
DatasetToSingleElement(Operation) - Constructor for class org.tensorflow.op.data.DatasetToSingleElement
datasetToSingleElement(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, DatasetToSingleElement.Options...) - Method in class org.tensorflow.op.DataOps: Outputs the single element from the given dataset.
DatasetToSingleElement.Inputs - Class in org.tensorflow.op.data
DatasetToSingleElement.Options - Class in org.tensorflow.op.data: Optional attributes for DatasetToSingleElement
DatasetToTfRecord - Class in org.tensorflow.op.data: Writes the given dataset to the given file using the TFRecord format.
DatasetToTfRecord(Operation) - Constructor for class org.tensorflow.op.data.DatasetToTfRecord
DatasetToTFRecord - Class in org.tensorflow.op.data.experimental: Writes the given dataset to the given file using the TFRecord format.
DatasetToTFRecord(Operation) - Constructor for class org.tensorflow.op.data.experimental.DatasetToTFRecord
datasetToTfRecord(Operand<? extends TType>, Operand<TString>, Operand<TString>) - Method in class org.tensorflow.op.DataOps: Writes the given dataset to the given file using the TFRecord format.
DatasetToTfRecord.Inputs - Class in org.tensorflow.op.data
DatasetToTFRecord.Inputs - Class in org.tensorflow.op.data.experimental
dataSourceName - Variable in class org.tensorflow.op.data.experimental.SqlDataset.Inputs: A connection string to connect to the database.
dataSourceName - Variable in class org.tensorflow.op.data.SqlDataset.Inputs: A connection string to connect to the database.
dataSplits - Variable in class org.tensorflow.op.strings.StringNGrams.Inputs: The splits tensor of the ragged string tensor to make ngrams out of.
dataTransferProtocol(String) - Static method in class org.tensorflow.op.data.DataServiceDatasetV2: Sets the dataTransferProtocol option.
dataTransferProtocol - Variable in class org.tensorflow.op.data.DataServiceDatasetV2.Inputs: The dataTransferProtocol attribute
dataTransferProtocol(String) - Method in class org.tensorflow.op.data.DataServiceDatasetV2.Options: Sets the dataTransferProtocol option.
dataType() - Method in class org.tensorflow.internal.types.registry.TensorTypeInfo: Returns the corresponding data type for this tensor type
dataType() - Method in class org.tensorflow.Output: Returns the DataType of the tensor referred to by this Output.
DataType - Enum in org.tensorflow.proto.framework: (== suppress_warning documentation-presence ==) LINT.IfChange
dataType() - Method in class org.tensorflow.RawTensor
dataType - Variable in class org.tensorflow.Signature.TensorDescription: The data type of the tensor
dataType() - Method in interface org.tensorflow.Tensor: Returns the DataType of elements stored in the tensor.
dataType() - Method in interface org.tensorflow.types.family.TType
Dawsn<T extends TNumber> - Class in org.tensorflow.op.math.special: The Dawsn operation
Dawsn(Operation) - Constructor for class org.tensorflow.op.math.special.Dawsn
Dawsn.Inputs<T extends TNumber> - Class in org.tensorflow.op.math.special
db() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad: Gets db.
dbUri - Variable in class org.tensorflow.op.summary.CreateSummaryDbWriter.Inputs: The dbUri input
dCBar() - Method in class org.tensorflow.op.nn.GRUBlockCellGrad: Gets dCBar.
DCOMPLEX_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorProto
dctCoefficientCount(Long) - Static method in class org.tensorflow.op.audio.Mfcc: Sets the dctCoefficientCount option.
dctCoefficientCount - Variable in class org.tensorflow.op.audio.Mfcc.Inputs: How many output channels to produce per time slice.
dctCoefficientCount(Long) - Method in class org.tensorflow.op.audio.Mfcc.Options: Sets the dctCoefficientCount option.
dctMethod(String) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg: Sets the dctMethod option.
dctMethod - Variable in class org.tensorflow.op.image.DecodeAndCropJpeg.Inputs: string specifying a hint about the algorithm used for decompression.
dctMethod(String) - Method in class org.tensorflow.op.image.DecodeAndCropJpeg.Options: Sets the dctMethod option.
dctMethod(String) - Static method in class org.tensorflow.op.image.DecodeJpeg: Sets the dctMethod option.
dctMethod - Variable in class org.tensorflow.op.image.DecodeJpeg.Inputs: string specifying a hint about the algorithm used for decompression.
dctMethod(String) - Method in class org.tensorflow.op.image.DecodeJpeg.Options: Sets the dctMethod option.
dDefaultValue() - Method in class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad: Gets dDefaultValue.
DEADLINE_EXCEEDED_VALUE - Static variable in enum org.tensorflow.proto.framework.Code: Deadline expired before operation could complete.
deallocate() - Method in class org.tensorflow.internal.c_api.AbstractTF_Buffer.DeleteDeallocator
deallocate() - Method in class org.tensorflow.internal.c_api.AbstractTF_Function.DeleteDeallocator
deallocate() - Method in class org.tensorflow.internal.c_api.AbstractTF_Graph.DeleteDeallocator
deallocate() - Method in class org.tensorflow.internal.c_api.AbstractTF_ImportGraphDefOptions.DeleteDeallocator
deallocate() - Method in class org.tensorflow.internal.c_api.AbstractTF_Session.DeleteDeallocator
deallocate() - Method in class org.tensorflow.internal.c_api.AbstractTF_SessionOptions.DeleteDeallocator
deallocate() - Method in class org.tensorflow.internal.c_api.AbstractTF_Status.DeleteDeallocator
deallocate() - Method in class org.tensorflow.internal.c_api.AbstractTF_Tensor.DeleteDeallocator
deallocate() - Method in class org.tensorflow.internal.c_api.AbstractTFE_Context.DeleteDeallocator
deallocate() - Method in class org.tensorflow.internal.c_api.AbstractTFE_ContextOptions.DeleteDeallocator
deallocate() - Method in class org.tensorflow.internal.c_api.AbstractTFE_Op.DeleteDeallocator
deallocate() - Method in class org.tensorflow.internal.c_api.AbstractTFE_TensorHandle.DeleteDeallocator
Deallocator_Pointer_long_Pointer - Class in org.tensorflow.internal.c_api
Deallocator_Pointer_long_Pointer(Pointer) - Constructor for class org.tensorflow.internal.c_api.Deallocator_Pointer_long_Pointer: Pointer cast constructor.
Deallocator_Pointer_long_Pointer() - Constructor for class org.tensorflow.internal.c_api.Deallocator_Pointer_long_Pointer
DEBUG_METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.DebugEvent
DEBUG_OPS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DebugTensorWatch
DEBUG_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RunOptions
DEBUG_STRIPPER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
DEBUG_TENSOR_WATCH_OPTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DebugOptions
DEBUG_URLS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DebugTensorWatch
DebugEvent - Class in org.tensorflow.proto.util: An Event related to the debugging of a TensorFlow program.
DebugEvent.Builder - Class in org.tensorflow.proto.util: An Event related to the debugging of a TensorFlow program.
DebugEvent.WhatCase - Enum in org.tensorflow.proto.util
DebugEventOrBuilder - Interface in org.tensorflow.proto.util
DebugEventProtos - Class in org.tensorflow.proto.util
DEBUGGED_DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.DebugEvent
DEBUGGED_GRAPH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.DebugEvent
DebuggedDevice - Class in org.tensorflow.proto.util: A device on which ops and/or tensors are instrumented by the debugger.
DebuggedDevice.Builder - Class in org.tensorflow.proto.util: A device on which ops and/or tensors are instrumented by the debugger.
DebuggedDeviceOrBuilder - Interface in org.tensorflow.proto.util
DebuggedGraph - Class in org.tensorflow.proto.util: A debugger-instrumented graph.
DebuggedGraph.Builder - Class in org.tensorflow.proto.util: A debugger-instrumented graph.
DebuggedGraphOrBuilder - Interface in org.tensorflow.proto.util
DebuggedSourceFile - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.DebuggedSourceFile
DebuggedSourceFile.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.DebuggedSourceFile
DebuggedSourceFileOrBuilder - Interface in org.tensorflow.proto.framework
DebuggedSourceFiles - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.DebuggedSourceFiles
DebuggedSourceFiles.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.DebuggedSourceFiles
DebuggedSourceFilesOrBuilder - Interface in org.tensorflow.proto.framework
DEBUGGING_VALUE - Static variable in enum org.tensorflow.proto.util.LogMessage.Level: Deprecated.

Note: The logging level 10 cannot be named DEBUG.
DebugGradientIdentity<T extends TType> - Class in org.tensorflow.op.debugging: Identity op for gradient debugging.
DebugGradientIdentity(Operation) - Constructor for class org.tensorflow.op.debugging.DebugGradientIdentity
DebugGradientIdentity.Inputs<T extends TType> - Class in org.tensorflow.op.debugging
DebugGradientRefIdentity<T extends TType> - Class in org.tensorflow.op.debugging: Identity op for gradient debugging.
DebugGradientRefIdentity(Operation) - Constructor for class org.tensorflow.op.debugging.DebugGradientRefIdentity
DebugGradientRefIdentity.Inputs<T extends TType> - Class in org.tensorflow.op.debugging
DebugIdentity<T extends TType> - Class in org.tensorflow.op.debugging: Debug Identity V2 Op.
DebugIdentity(Operation) - Constructor for class org.tensorflow.op.debugging.DebugIdentity
DebugIdentity.Inputs<T extends TType> - Class in org.tensorflow.op.debugging
DebugIdentity.Options - Class in org.tensorflow.op.debugging: Optional attributes for DebugIdentity
DebugMetadata - Class in org.tensorflow.proto.util: Metadata about the debugger and the debugged TensorFlow program.
DebugMetadata.Builder - Class in org.tensorflow.proto.util: Metadata about the debugger and the debugged TensorFlow program.
DebugMetadataOrBuilder - Interface in org.tensorflow.proto.util
debugName - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: A scalar or vector containing the names of the serialized protos.
debugName - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A scalar containing the name of the serialized proto.
DebugNanCount - Class in org.tensorflow.op.debugging: Debug NaN Value Counter Op.
DebugNanCount(Operation) - Constructor for class org.tensorflow.op.debugging.DebugNanCount
DebugNanCount.Inputs - Class in org.tensorflow.op.debugging
DebugNanCount.Options - Class in org.tensorflow.op.debugging: Optional attributes for DebugNanCount
DebugNumericsSummary - Class in org.tensorflow.op.debugging: Debug Numeric Summary V2 Op.
DebugNumericsSummary(Operation) - Constructor for class org.tensorflow.op.debugging.DebugNumericsSummary
DebugNumericsSummary.Inputs - Class in org.tensorflow.op.debugging
DebugNumericsSummary.Options - Class in org.tensorflow.op.debugging: Optional attributes for DebugNumericsSummary
debugOpsSpec(List<String>) - Static method in class org.tensorflow.op.core.Copy: Sets the debugOpsSpec option.
debugOpsSpec(String...) - Static method in class org.tensorflow.op.core.Copy: Sets the debugOpsSpec option.
debugOpsSpec - Variable in class org.tensorflow.op.core.Copy.Inputs: A list of debug op spec (op, url, gated_grpc) for attached debug ops.
debugOpsSpec(List<String>) - Method in class org.tensorflow.op.core.Copy.Options: Sets the debugOpsSpec option.
debugOpsSpec(String...) - Method in class org.tensorflow.op.core.Copy.Options: Sets the debugOpsSpec option.
debugOpsSpec(List<String>) - Static method in class org.tensorflow.op.core.CopyHost: Sets the debugOpsSpec option.
debugOpsSpec(String...) - Static method in class org.tensorflow.op.core.CopyHost: Sets the debugOpsSpec option.
debugOpsSpec - Variable in class org.tensorflow.op.core.CopyHost.Inputs: A list of debug op spec (op, url, gated_grpc) for attached debug ops.
debugOpsSpec(List<String>) - Method in class org.tensorflow.op.core.CopyHost.Options: Sets the debugOpsSpec option.
debugOpsSpec(String...) - Method in class org.tensorflow.op.core.CopyHost.Options: Sets the debugOpsSpec option.
DebugOptions - Class in org.tensorflow.proto.framework: Options for initializing DebuggerState in TensorFlow Debugger (tfdbg).
DebugOptions.Builder - Class in org.tensorflow.proto.framework: Options for initializing DebuggerState in TensorFlow Debugger (tfdbg).
DebugOptionsOrBuilder - Interface in org.tensorflow.proto.framework
DebugProtos - Class in org.tensorflow.proto.framework
DebugString() - Method in class org.tensorflow.internal.c_api.Node
DebugTensorWatch - Class in org.tensorflow.proto.framework: Option for watching a node in TensorFlow Debugger (tfdbg).
DebugTensorWatch.Builder - Class in org.tensorflow.proto.framework: Option for watching a node in TensorFlow Debugger (tfdbg).
DebugTensorWatchOrBuilder - Interface in org.tensorflow.proto.framework
debugUrls(List<String>) - Static method in class org.tensorflow.op.debugging.DebugIdentity: Sets the debugUrls option.
debugUrls(String...) - Static method in class org.tensorflow.op.debugging.DebugIdentity: Sets the debugUrls option.
debugUrls - Variable in class org.tensorflow.op.debugging.DebugIdentity.Inputs: List of URLs to debug targets, e.g., file:///foo/tfdbg_dump.
debugUrls(List<String>) - Method in class org.tensorflow.op.debugging.DebugIdentity.Options: Sets the debugUrls option.
debugUrls(String...) - Method in class org.tensorflow.op.debugging.DebugIdentity.Options: Sets the debugUrls option.
debugUrls(List<String>) - Static method in class org.tensorflow.op.debugging.DebugNanCount: Sets the debugUrls option.
debugUrls(String...) - Static method in class org.tensorflow.op.debugging.DebugNanCount: Sets the debugUrls option.
debugUrls - Variable in class org.tensorflow.op.debugging.DebugNanCount.Inputs: List of URLs to debug targets, e.g., file:///foo/tfdbg_dump, grpc:://localhost:11011.
debugUrls(List<String>) - Method in class org.tensorflow.op.debugging.DebugNanCount.Options: Sets the debugUrls option.
debugUrls(String...) - Method in class org.tensorflow.op.debugging.DebugNanCount.Options: Sets the debugUrls option.
DecodeAndCropJpeg - Class in org.tensorflow.op.image: Decode and Crop a JPEG-encoded image to a uint8 tensor.
DecodeAndCropJpeg(Operation) - Constructor for class org.tensorflow.op.image.DecodeAndCropJpeg
decodeAndCropJpeg(Operand<TString>, Operand<TInt32>, DecodeAndCropJpeg.Options...) - Method in class org.tensorflow.op.ImageOps: Decode and Crop a JPEG-encoded image to a uint8 tensor.
DecodeAndCropJpeg.Inputs - Class in org.tensorflow.op.image
DecodeAndCropJpeg.Options - Class in org.tensorflow.op.image: Optional attributes for DecodeAndCropJpeg
DecodeBase64 - Class in org.tensorflow.op.io: Decode web-safe base64-encoded strings.
DecodeBase64(Operation) - Constructor for class org.tensorflow.op.io.DecodeBase64
decodeBase64(Operand<TString>) - Method in class org.tensorflow.op.IoOps: Decode web-safe base64-encoded strings.
DecodeBase64.Inputs - Class in org.tensorflow.op.io
DecodeBmp - Class in org.tensorflow.op.image: Decode the first frame of a BMP-encoded image to a uint8 tensor.
DecodeBmp(Operation) - Constructor for class org.tensorflow.op.image.DecodeBmp
decodeBmp(Operand<TString>, DecodeBmp.Options...) - Method in class org.tensorflow.op.ImageOps: Decode the first frame of a BMP-encoded image to a uint8 tensor.
DecodeBmp.Inputs - Class in org.tensorflow.op.image
DecodeBmp.Options - Class in org.tensorflow.op.image: Optional attributes for DecodeBmp
DecodeCompressed - Class in org.tensorflow.op.io: Decompress strings.
DecodeCompressed(Operation) - Constructor for class org.tensorflow.op.io.DecodeCompressed
decodeCompressed(Operand<TString>, DecodeCompressed.Options...) - Method in class org.tensorflow.op.IoOps: Decompress strings.
DecodeCompressed.Inputs - Class in org.tensorflow.op.io
DecodeCompressed.Options - Class in org.tensorflow.op.io: Optional attributes for DecodeCompressed
DecodeCsv - Class in org.tensorflow.op.io: Convert CSV records to tensors.
DecodeCsv(Operation) - Constructor for class org.tensorflow.op.io.DecodeCsv
decodeCsv(Operand<TString>, Iterable<Operand<?>>, DecodeCsv.Options...) - Method in class org.tensorflow.op.IoOps: Convert CSV records to tensors.
DecodeCsv.Inputs - Class in org.tensorflow.op.io
DecodeCsv.Options - Class in org.tensorflow.op.io: Optional attributes for DecodeCsv
decodedIndices() - Method in class org.tensorflow.op.nn.CtcBeamSearchDecoder: Gets decodedIndices.
decodedIndices() - Method in class org.tensorflow.op.nn.CtcGreedyDecoder: Gets decodedIndices.
decodedShape() - Method in class org.tensorflow.op.nn.CtcBeamSearchDecoder: Gets decodedShape.
decodedShape() - Method in class org.tensorflow.op.nn.CtcGreedyDecoder: Gets decodedShape.
decodedValues() - Method in class org.tensorflow.op.nn.CtcBeamSearchDecoder: Gets decodedValues.
decodedValues() - Method in class org.tensorflow.op.nn.CtcGreedyDecoder: Gets decodedValues.
DecodeGif - Class in org.tensorflow.op.image: Decode the frame(s) of a GIF-encoded image to a uint8 tensor.
DecodeGif(Operation) - Constructor for class org.tensorflow.op.image.DecodeGif
decodeGif(Operand<TString>) - Method in class org.tensorflow.op.ImageOps: Decode the frame(s) of a GIF-encoded image to a uint8 tensor.
DecodeGif.Inputs - Class in org.tensorflow.op.image
DecodeImage<T extends TNumber> - Class in org.tensorflow.op.image: Function for decode_bmp, decode_gif, decode_jpeg, and decode_png.
DecodeImage(Operation) - Constructor for class org.tensorflow.op.image.DecodeImage
decodeImage(Operand<TString>, DecodeImage.Options[]) - Method in class org.tensorflow.op.ImageOps: Function for decode_bmp, decode_gif, decode_jpeg, and decode_png.
decodeImage(Operand<TString>, Class<T>, DecodeImage.Options...) - Method in class org.tensorflow.op.ImageOps: Function for decode_bmp, decode_gif, decode_jpeg, and decode_png.
DecodeImage.Inputs - Class in org.tensorflow.op.image
DecodeImage.Options - Class in org.tensorflow.op.image: Optional attributes for DecodeImage
DecodeJpeg - Class in org.tensorflow.op.image: Decode a JPEG-encoded image to a uint8 tensor.
DecodeJpeg(Operation) - Constructor for class org.tensorflow.op.image.DecodeJpeg
decodeJpeg(Operand<TString>, DecodeJpeg.Options...) - Method in class org.tensorflow.op.ImageOps: Decode a JPEG-encoded image to a uint8 tensor.
DecodeJpeg.Inputs - Class in org.tensorflow.op.image
DecodeJpeg.Options - Class in org.tensorflow.op.image: Optional attributes for DecodeJpeg
DecodeJsonExample - Class in org.tensorflow.op.io: Convert JSON-encoded Example records to binary protocol buffer strings.
DecodeJsonExample(Operation) - Constructor for class org.tensorflow.op.io.DecodeJsonExample
decodeJsonExample(Operand<TString>) - Method in class org.tensorflow.op.IoOps: Convert JSON-encoded Example records to binary protocol buffer strings.
DecodeJsonExample.Inputs - Class in org.tensorflow.op.io
DecodePaddedRaw<T extends TNumber> - Class in org.tensorflow.op.io: Reinterpret the bytes of a string as a vector of numbers.
DecodePaddedRaw(Operation) - Constructor for class org.tensorflow.op.io.DecodePaddedRaw
decodePaddedRaw(Operand<TString>, Operand<TInt32>, Class<T>, DecodePaddedRaw.Options...) - Method in class org.tensorflow.op.IoOps: Reinterpret the bytes of a string as a vector of numbers.
DecodePaddedRaw.Inputs - Class in org.tensorflow.op.io
DecodePaddedRaw.Options - Class in org.tensorflow.op.io: Optional attributes for DecodePaddedRaw
DecodePng<T extends TNumber> - Class in org.tensorflow.op.image: Decode a PNG-encoded image to a uint8 or uint16 tensor.
DecodePng(Operation) - Constructor for class org.tensorflow.op.image.DecodePng
decodePng(Operand<TString>, DecodePng.Options[]) - Method in class org.tensorflow.op.ImageOps: Decode a PNG-encoded image to a uint8 or uint16 tensor.
decodePng(Operand<TString>, Class<T>, DecodePng.Options...) - Method in class org.tensorflow.op.ImageOps: Decode a PNG-encoded image to a uint8 or uint16 tensor.
DecodePng.Inputs - Class in org.tensorflow.op.image
DecodePng.Options - Class in org.tensorflow.op.image: Optional attributes for DecodePng
DecodeProto - Class in org.tensorflow.op.core: The op extracts fields from a serialized protocol buffers message into tensors.
DecodeProto(Operation) - Constructor for class org.tensorflow.op.core.DecodeProto
decodeProto(Operand<TString>, String, List<String>, List<Class<? extends TType>>, DecodeProto.Options...) - Method in class org.tensorflow.op.Ops: The op extracts fields from a serialized protocol buffers message into tensors.
DecodeProto.Inputs - Class in org.tensorflow.op.core
DecodeProto.Options - Class in org.tensorflow.op.core: Optional attributes for DecodeProto
DecodeRaw<T extends TType> - Class in org.tensorflow.op.io: Reinterpret the bytes of a string as a vector of numbers.
DecodeRaw(Operation) - Constructor for class org.tensorflow.op.io.DecodeRaw
decodeRaw(Operand<TString>, Class<T>, DecodeRaw.Options...) - Method in class org.tensorflow.op.IoOps: Reinterpret the bytes of a string as a vector of numbers.
DecodeRaw.Inputs - Class in org.tensorflow.op.io
DecodeRaw.Options - Class in org.tensorflow.op.io: Optional attributes for DecodeRaw
DecodeWav - Class in org.tensorflow.op.audio: Decode a 16-bit PCM WAV file to a float tensor.
DecodeWav(Operation) - Constructor for class org.tensorflow.op.audio.DecodeWav
decodeWav(Operand<TString>, DecodeWav.Options...) - Method in class org.tensorflow.op.AudioOps: Decode a 16-bit PCM WAV file to a float tensor.
DecodeWav.Inputs - Class in org.tensorflow.op.audio
DecodeWav.Options - Class in org.tensorflow.op.audio: Optional attributes for DecodeWav
DeepCopy<T extends TType> - Class in org.tensorflow.op.core: Makes a copy of x.
DeepCopy(Operation) - Constructor for class org.tensorflow.op.core.DeepCopy
deepCopy(Operand<T>) - Method in class org.tensorflow.op.Ops: Makes a copy of x.
DeepCopy.Inputs<T extends TType> - Class in org.tensorflow.op.core
DEFAULT_KEY - Static variable in class org.tensorflow.Signature: The default signature key, when not provided
DEFAULT_MEM_OPT_VALUE - Static variable in enum org.tensorflow.proto.framework.RewriterConfig.MemOptType: The default setting (SCHEDULING and SWAPPING HEURISTICS only)
DEFAULT_NUM_ITERS_VALUE - Static variable in enum org.tensorflow.proto.framework.RewriterConfig.NumIterationsType: DEFAULT_NUM_ITERS = 0;
DEFAULT_SESSION_CONFIG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.distruntime.ServerDef
DEFAULT_TAG - Static variable in class org.tensorflow.SavedModelBundle
DEFAULT_VALUE - Static variable in enum org.tensorflow.proto.framework.FunctionSpec.JitCompile: DEFAULT = 0;
DEFAULT_VALUE - Static variable in enum org.tensorflow.proto.framework.OptimizerOptions.GlobalJitLevel: Default setting ("off" now, but later expected to be "on")
DEFAULT_VALUE - Static variable in enum org.tensorflow.proto.framework.RewriterConfig.Toggle: DEFAULT = 0;
DEFAULT_VALUE - Static variable in enum org.tensorflow.proto.framework.VerifierConfig.Toggle: DEFAULT = 0;
DEFAULT_VALUE - Static variable in enum org.tensorflow.proto.util.WorkerShutdownMode: DEFAULT = 0;
DEFAULT_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.example.FixedLenFeatureProto
DEFAULT_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ApiDef.Attr
DEFAULT_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef.AttrDef
DEFAULT_VISIBILITY_VALUE - Static variable in enum org.tensorflow.proto.framework.ApiDef.Visibility: Normally this is "VISIBLE" unless you are inheriting a different value from another ApiDef.
defaultValue - Variable in class org.tensorflow.op.core.LookupTableFind.Inputs: The defaultValue input
defaultValue - Variable in class org.tensorflow.op.ragged.RaggedTensorToTensor.Inputs: The default_value when the shape is larger than the ragged tensor.
defaultValue - Variable in class org.tensorflow.op.sparse.SparseFillEmptyRows.Inputs: 0-D.
defaultValue - Variable in class org.tensorflow.op.sparse.SparseToDense.Inputs: Scalar value to set for indices not specified in sparse_indices.
DEFERRED_DELETION_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GPUOptions
DEFERRED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
DELAY_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
delete() - Method in class org.tensorflow.internal.c_api.AbstractTF_Buffer: Calls the deallocator, if registered, otherwise has no effect.
delete() - Method in class org.tensorflow.internal.c_api.AbstractTF_Function: Calls the deallocator, if registered, otherwise has no effect.
delete() - Method in class org.tensorflow.internal.c_api.AbstractTF_Graph: Calls the deallocator, if registered, otherwise has no effect.
delete() - Method in class org.tensorflow.internal.c_api.AbstractTF_ImportGraphDefOptions: Calls the deallocator, if registered, otherwise has no effect.
delete() - Method in class org.tensorflow.internal.c_api.AbstractTF_Session: Calls the deallocator, if registered, otherwise has no effect.
delete() - Method in class org.tensorflow.internal.c_api.AbstractTF_SessionOptions: Calls the deallocator, if registered, otherwise has no effect.
delete() - Method in class org.tensorflow.internal.c_api.AbstractTF_Status: Calls the deallocator, if registered, otherwise has no effect.
delete() - Method in class org.tensorflow.internal.c_api.AbstractTF_Tensor: Calls the deallocator, if registered, otherwise has no effect.
delete() - Method in class org.tensorflow.internal.c_api.AbstractTFE_Context: Calls the deallocator, if registered, otherwise has no effect.
delete() - Method in class org.tensorflow.internal.c_api.AbstractTFE_ContextOptions: Calls the deallocator, if registered, otherwise has no effect.
delete() - Method in class org.tensorflow.internal.c_api.AbstractTFE_Op: Calls the deallocator, if registered, otherwise has no effect.
delete() - Method in class org.tensorflow.internal.c_api.AbstractTFE_TensorHandle: Calls the deallocator, if registered, otherwise has no effect.
Delete_func_Pointer - Class in org.tensorflow.internal.c_api
Delete_func_Pointer(Pointer) - Constructor for class org.tensorflow.internal.c_api.Delete_func_Pointer: Pointer cast constructor.
Delete_func_Pointer() - Constructor for class org.tensorflow.internal.c_api.Delete_func_Pointer
deletedKey - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: The deletedKey input
DeleteIterator - Class in org.tensorflow.op.data: A container for an iterator resource.
DeleteIterator(Operation) - Constructor for class org.tensorflow.op.data.DeleteIterator
deleteIterator(Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.DataOps: A container for an iterator resource.
DeleteIterator.Inputs - Class in org.tensorflow.op.data
DeleteMemoryCache - Class in org.tensorflow.op.data: The DeleteMemoryCache operation
DeleteMemoryCache(Operation) - Constructor for class org.tensorflow.op.data.DeleteMemoryCache
DeleteMemoryCache.Inputs - Class in org.tensorflow.op.data
DeleteMultiDeviceIterator - Class in org.tensorflow.op.data: A container for an iterator resource.
DeleteMultiDeviceIterator(Operation) - Constructor for class org.tensorflow.op.data.DeleteMultiDeviceIterator
DeleteMultiDeviceIterator.Inputs - Class in org.tensorflow.op.data
deleteOldDirs(Boolean) - Static method in class org.tensorflow.op.train.MergeV2Checkpoints: Sets the deleteOldDirs option.
deleteOldDirs - Variable in class org.tensorflow.op.train.MergeV2Checkpoints.Inputs: see above.
deleteOldDirs(Boolean) - Method in class org.tensorflow.op.train.MergeV2Checkpoints.Options: Sets the deleteOldDirs option.
deleter() - Method in class org.tensorflow.op.data.AnonymousIterator: Gets deleter.
deleter() - Method in class org.tensorflow.op.data.AnonymousMemoryCache: Gets deleter.
deleter() - Method in class org.tensorflow.op.data.AnonymousMultiDeviceIterator: Gets deleter.
deleter - Variable in class org.tensorflow.op.data.DeleteIterator.Inputs: A variant deleter.
deleter - Variable in class org.tensorflow.op.data.DeleteMemoryCache.Inputs: The deleter input
deleter - Variable in class org.tensorflow.op.data.DeleteMultiDeviceIterator.Inputs: A variant deleter.
deleter() - Method in class org.tensorflow.op.random.AnonymousRandomSeedGenerator: Gets deleter.
deleter() - Method in class org.tensorflow.op.random.AnonymousSeedGenerator: Gets deleter.
deleter - Variable in class org.tensorflow.op.random.DeleteRandomSeedGenerator.Inputs: The deleter input
deleter - Variable in class org.tensorflow.op.random.DeleteSeedGenerator.Inputs: The deleter input
DeleteRandomSeedGenerator - Class in org.tensorflow.op.random: The DeleteRandomSeedGenerator operation
DeleteRandomSeedGenerator(Operation) - Constructor for class org.tensorflow.op.random.DeleteRandomSeedGenerator
DeleteRandomSeedGenerator.Inputs - Class in org.tensorflow.op.random
DeleteSeedGenerator - Class in org.tensorflow.op.random: The DeleteSeedGenerator operation
DeleteSeedGenerator(Operation) - Constructor for class org.tensorflow.op.random.DeleteSeedGenerator
DeleteSeedGenerator.Inputs - Class in org.tensorflow.op.random
DeleteSessionTensor - Class in org.tensorflow.op.core: Delete the tensor specified by its handle in the session.
DeleteSessionTensor(Operation) - Constructor for class org.tensorflow.op.core.DeleteSessionTensor
deleteSessionTensor(Operand<TString>) - Method in class org.tensorflow.op.Ops: Delete the tensor specified by its handle in the session.
DeleteSessionTensor.Inputs - Class in org.tensorflow.op.core
delimiter(String) - Static method in class org.tensorflow.op.core.InitializeTableFromTextFile: Sets the delimiter option.
delimiter - Variable in class org.tensorflow.op.core.InitializeTableFromTextFile.Inputs: Delimiter to separate fields in a line.
delimiter(String) - Method in class org.tensorflow.op.core.InitializeTableFromTextFile.Options: Sets the delimiter option.
delta - Variable in class org.tensorflow.op.core.For.Inputs: The increment.
delta - Variable in class org.tensorflow.op.core.Range.Inputs: 0-D (scalar).
delta - Variable in class org.tensorflow.op.image.AdjustHue.Inputs: A float delta to add to the hue.
delta - Variable in class org.tensorflow.op.random.RngReadAndSkip.Inputs: The amount of advancement.
delta - Variable in class org.tensorflow.op.random.RngSkip.Inputs: The amount of advancement.
delta - Variable in class org.tensorflow.op.train.ApplyGradientDescent.Inputs: The change.
delta - Variable in class org.tensorflow.op.train.ApplyProximalGradientDescent.Inputs: The change.
delta - Variable in class org.tensorflow.op.train.ResourceApplyGradientDescent.Inputs: The change.
delta - Variable in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Inputs: The change.
deltas - Variable in class org.tensorflow.op.ragged.RaggedRange.Inputs: The deltas of each range.
dense - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseAdd.Inputs: R-D.
dense - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseDiv.Inputs: R-D.
dense - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseMul.Inputs: R-D.
dense() - Method in class org.tensorflow.op.sparse.SparseToDense: Gets dense.
DENSE_SHAPE_TENSOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorInfo.CooSparse
DenseBincount - Class in org.tensorflow.op.math: Counts the number of occurrences of each value in an integer array.
DenseBincount(Operation) - Constructor for class org.tensorflow.op.math.DenseBincount
denseBincount(Operand<T>, Operand<T>, Operand, DenseBincount.Options...) - Method in class org.tensorflow.op.MathOps: Counts the number of occurrences of each value in an integer array.
DenseBincount.Inputs<T extends TNumber,U extends TNumber> - Class in org.tensorflow.op.math
DenseBincount.Options - Class in org.tensorflow.op.math: Optional attributes for DenseBincount
DenseCountSparseOutput - Class in org.tensorflow.op.sparse: Performs sparse-output bin counting for a tf.tensor input.
DenseCountSparseOutput(Operation) - Constructor for class org.tensorflow.op.sparse.DenseCountSparseOutput
DenseCountSparseOutput.Inputs - Class in org.tensorflow.op.sparse
DenseCountSparseOutput.Options - Class in org.tensorflow.op.sparse: Optional attributes for DenseCountSparseOutput
denseDefaults - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: A dict mapping string keys to Tensors.
denseDefaults - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: A dict mapping string keys to Tensors.
denseDefaults - Variable in class org.tensorflow.op.io.ParseExample.Inputs: A list of Tensors (some may be empty).
denseDefaults - Variable in class org.tensorflow.op.io.ParseSingleExample.Inputs: A list of Tensors (some may be empty), whose length matches the length of dense_keys.
denseFeatures - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a list of matrices which contains the dense feature values.
denseInput - Variable in class org.tensorflow.op.linalg.sparse.DenseToCSRSparseMatrix.Inputs: A Dense tensor.
denseInputs - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The tf.Tensor inputs.
denseInputs - Variable in class org.tensorflow.op.sparse.SparseCross.Inputs: 2-D.
denseInputs - Variable in class org.tensorflow.op.sparse.SparseCrossHashed.Inputs: 2-D.
denseKeys - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: A list of Ndense string Tensors (scalars).
denseKeys - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: A list of Ndense string Tensors (scalars).
denseKeys - Variable in class org.tensorflow.op.io.ParseExample.Inputs: Vector of strings.
denseKeys - Variable in class org.tensorflow.op.io.ParseSingleExample.Inputs: The keys expected in the Examples' features associated with dense values.
denseOutput() - Method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToDense: Gets denseOutput.
denseShape - Variable in class org.tensorflow.op.data.SparseTensorSliceDataset.Inputs: The denseShape input
denseShape() - Method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToSparseTensor: Gets denseShape.
denseShape - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixZeros.Inputs: The desired matrix shape.
denseShape - Variable in class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix.Inputs: SparseTensor dense shape.
denseShape - Variable in class org.tensorflow.op.sparse.SparseBincount.Inputs: 1D int64 Tensor.
denseShape - Variable in class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs: Tensor containing the dense shape of the sparse tensor to count.
denseShape - Variable in class org.tensorflow.op.sparse.SparseFillEmptyRows.Inputs: 1-D.
denseShapes - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: List of tuples with the same length as `dense_keys`.
denseShapes - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: List of tuples with the same length as `dense_keys`.
denseShapes - Variable in class org.tensorflow.op.io.ParseExample.Inputs: A list of `num_dense` shapes; the shapes of data in each Feature given in dense_keys (where `num_dense = dense_keys.size()`).
denseShapes - Variable in class org.tensorflow.op.io.ParseSingleExample.Inputs: The shapes of data in each Feature given in dense_keys.
DenseToCSRSparseMatrix - Class in org.tensorflow.op.linalg.sparse: Converts a dense tensor to a (possibly batched) CSRSparseMatrix.
DenseToCSRSparseMatrix(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.DenseToCSRSparseMatrix
DenseToCSRSparseMatrix.Inputs - Class in org.tensorflow.op.linalg.sparse
DenseToDenseSetOperation<T extends TType> - Class in org.tensorflow.op.sparse: Applies set operation along last dimension of 2 Tensor inputs.
DenseToDenseSetOperation(Operation) - Constructor for class org.tensorflow.op.sparse.DenseToDenseSetOperation
denseToDenseSetOperation(Operand<T>, Operand<T>, String, DenseToDenseSetOperation.Options...) - Method in class org.tensorflow.op.SparseOps: Applies set operation along last dimension of 2 Tensor inputs.
DenseToDenseSetOperation.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
DenseToDenseSetOperation.Options - Class in org.tensorflow.op.sparse: Optional attributes for DenseToDenseSetOperation
DenseToSparseBatchDataset - Class in org.tensorflow.op.data: Creates a dataset that batches input elements into a SparseTensor.
DenseToSparseBatchDataset(Operation) - Constructor for class org.tensorflow.op.data.DenseToSparseBatchDataset
DenseToSparseBatchDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that batches input elements into a SparseTensor.
DenseToSparseBatchDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset
denseToSparseBatchDataset(Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Creates a dataset that batches input elements into a SparseTensor.
DenseToSparseBatchDataset.Inputs - Class in org.tensorflow.op.data
DenseToSparseBatchDataset.Inputs - Class in org.tensorflow.op.data.experimental
DenseToSparseSetOperation<T extends TType> - Class in org.tensorflow.op.sparse: Applies set operation along last dimension of Tensor and SparseTensor.
DenseToSparseSetOperation(Operation) - Constructor for class org.tensorflow.op.sparse.DenseToSparseSetOperation
denseToSparseSetOperation(Operand<T>, Operand<TInt64>, Operand<T>, Operand<TInt64>, String, DenseToSparseSetOperation.Options...) - Method in class org.tensorflow.op.SparseOps: Applies set operation along last dimension of Tensor and SparseTensor.
DenseToSparseSetOperation.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
DenseToSparseSetOperation.Options - Class in org.tensorflow.op.sparse: Optional attributes for DenseToSparseSetOperation
denseTypes - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The denseTypes attribute
denseTypes - Variable in class org.tensorflow.op.sparse.SparseCross.Inputs: The denseTypes attribute
denseTypes - Variable in class org.tensorflow.op.sparse.SparseCrossHashed.Inputs: The denseTypes attribute
denseValues() - Method in class org.tensorflow.op.io.ParseExample: Gets denseValues.
denseValues() - Method in class org.tensorflow.op.io.ParseSingleExample: Gets denseValues.
denseValuesGrad() - Method in class org.tensorflow.op.ragged.RaggedTensorToVariantGradient: Gets denseValuesGrad.
denseValuesShape - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariantGradient.Inputs: Shape of the dense_values that was used as an input to the RaggedTensorToVariant op.
denseWeights - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a list of vectors where the values are the weights associated with a dense feature group.
densityUnit(String) - Static method in class org.tensorflow.op.image.EncodeJpeg: Sets the densityUnit option.
densityUnit - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: Unit used to specify `x_density` and `y_density`: pixels per inch (`'in'`) or centimeter (`'cm'`).
densityUnit(String) - Method in class org.tensorflow.op.image.EncodeJpeg.Options: Sets the densityUnit option.
DEPENDENCY_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
DEPRECATED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ApiDef.Endpoint
DEPRECATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef
DEPRECATION_MESSAGE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ApiDef
DEPRECATION_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ApiDef
DEPRECATION_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ApiDef.Endpoint
depth - Variable in class org.tensorflow.op.core.OneHot.Inputs: A scalar defining the depth of the one hot dimension.
depthRadius(Long) - Static method in class org.tensorflow.op.nn.LocalResponseNormalization: Sets the depthRadius option.
depthRadius - Variable in class org.tensorflow.op.nn.LocalResponseNormalization.Inputs: 0-D.
depthRadius(Long) - Method in class org.tensorflow.op.nn.LocalResponseNormalization.Options: Sets the depthRadius option.
depthRadius(Long) - Static method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad: Sets the depthRadius option.
depthRadius - Variable in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Inputs: A depth radius.
depthRadius(Long) - Method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Options: Sets the depthRadius option.
DepthToSpace<T extends TType> - Class in org.tensorflow.op.nn: DepthToSpace for tensors of type T.
DepthToSpace(Operation) - Constructor for class org.tensorflow.op.nn.DepthToSpace
depthToSpace(Operand<T>, Long, DepthToSpace.Options...) - Method in class org.tensorflow.op.NnOps: DepthToSpace for tensors of type T.
DepthToSpace.Inputs<T extends TType> - Class in org.tensorflow.op.nn
DepthToSpace.Options - Class in org.tensorflow.op.nn: Optional attributes for DepthToSpace
DepthwiseConv2dNative<T extends TNumber> - Class in org.tensorflow.op.nn: Computes a 2-D depthwise convolution given 4-D input and filter tensors.
DepthwiseConv2dNative(Operation) - Constructor for class org.tensorflow.op.nn.DepthwiseConv2dNative
depthwiseConv2dNative(Operand<T>, Operand<T>, List<Long>, String, DepthwiseConv2dNative.Options...) - Method in class org.tensorflow.op.NnOps: Computes a 2-D depthwise convolution given 4-D input and filter tensors.
DepthwiseConv2dNative.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
DepthwiseConv2dNative.Options - Class in org.tensorflow.op.nn: Optional attributes for DepthwiseConv2dNative
DepthwiseConv2dNativeBackpropFilter<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the gradients of depthwise convolution with respect to the filter.
DepthwiseConv2dNativeBackpropFilter(Operation) - Constructor for class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter
depthwiseConv2dNativeBackpropFilter(Operand<T>, Operand<TInt32>, Operand<T>, List<Long>, String, DepthwiseConv2dNativeBackpropFilter.Options...) - Method in class org.tensorflow.op.NnOps: Computes the gradients of depthwise convolution with respect to the filter.
DepthwiseConv2dNativeBackpropFilter.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
DepthwiseConv2dNativeBackpropFilter.Options - Class in org.tensorflow.op.nn: Optional attributes for DepthwiseConv2dNativeBackpropFilter
DepthwiseConv2dNativeBackpropInput<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the gradients of depthwise convolution with respect to the input.
DepthwiseConv2dNativeBackpropInput(Operation) - Constructor for class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput
depthwiseConv2dNativeBackpropInput(Operand<TInt32>, Operand<T>, Operand<T>, List<Long>, String, DepthwiseConv2dNativeBackpropInput.Options...) - Method in class org.tensorflow.op.NnOps: Computes the gradients of depthwise convolution with respect to the input.
DepthwiseConv2dNativeBackpropInput.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
DepthwiseConv2dNativeBackpropInput.Options - Class in org.tensorflow.op.nn: Optional attributes for DepthwiseConv2dNativeBackpropInput
Dequantize - Class in org.tensorflow.op.quantization: Dequantize the 'input' tensor into a float or bfloat16 Tensor.
Dequantize(Operation) - Constructor for class org.tensorflow.op.quantization.Dequantize
dequantize(Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Dequantize.Options[]) - Method in class org.tensorflow.op.QuantizationOps: Dequantize the 'input' tensor into a float or bfloat16 Tensor.
dequantize(Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Class, Dequantize.Options...) - Method in class org.tensorflow.op.QuantizationOps: Dequantize the 'input' tensor into a float or bfloat16 Tensor.
Dequantize - Class in org.tensorflow.op.xla: Takes the packed uint32 input and unpacks the input to uint8 to do Dequantization on device.
Dequantize(Operation) - Constructor for class org.tensorflow.op.xla.Dequantize
dequantize(Operand<? extends TType>, Float, Float, String, Boolean) - Method in class org.tensorflow.op.XlaOps: Takes the packed uint32 input and unpacks the input to uint8 to do Dequantization on device.
Dequantize.Inputs - Class in org.tensorflow.op.quantization
Dequantize.Inputs - Class in org.tensorflow.op.xla
Dequantize.Options - Class in org.tensorflow.op.quantization: Optional attributes for Dequantize
DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ApiDef.Arg
DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ApiDef.Attr
DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ApiDef
DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef.ArgDef
DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef.AttrDef
DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef
DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XStatMetadata
DESCRIPTION_PREFIX_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ApiDef
DESCRIPTION_SUFFIX_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ApiDef
descriptorSource(String) - Static method in class org.tensorflow.op.core.DecodeProto: Sets the descriptorSource option.
descriptorSource - Variable in class org.tensorflow.op.core.DecodeProto.Inputs: Either the special value `local://` or a path to a file containing a serialized `FileDescriptorSet`.
descriptorSource(String) - Method in class org.tensorflow.op.core.DecodeProto.Options: Sets the descriptorSource option.
descriptorSource(String) - Static method in class org.tensorflow.op.core.EncodeProto: Sets the descriptorSource option.
descriptorSource - Variable in class org.tensorflow.op.core.EncodeProto.Inputs: The descriptorSource attribute
descriptorSource(String) - Method in class org.tensorflow.op.core.EncodeProto.Options: Sets the descriptorSource option.
DeserializeIterator - Class in org.tensorflow.op.data: Converts the given variant tensor to an iterator and stores it in the given resource.
DeserializeIterator(Operation) - Constructor for class org.tensorflow.op.data.DeserializeIterator
deserializeIterator(Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.DataOps: Converts the given variant tensor to an iterator and stores it in the given resource.
DeserializeIterator.Inputs - Class in org.tensorflow.op.data
DeserializeManySparse<T extends TType> - Class in org.tensorflow.op.io: Deserialize and concatenate SparseTensors from a serialized minibatch.
DeserializeManySparse(Operation) - Constructor for class org.tensorflow.op.io.DeserializeManySparse
deserializeManySparse(Operand<TString>, Class<T>) - Method in class org.tensorflow.op.IoOps: Deserialize and concatenate SparseTensors from a serialized minibatch.
DeserializeManySparse.Inputs - Class in org.tensorflow.op.io
DeserializeSparse - Class in org.tensorflow.op.sparse: Deserialize SparseTensor objects.
DeserializeSparse(Operation) - Constructor for class org.tensorflow.op.sparse.DeserializeSparse
deserializeSparse(Operand<? extends TType>, Class) - Method in class org.tensorflow.op.SparseOps: Deserialize SparseTensor objects.
DeserializeSparse.Inputs - Class in org.tensorflow.op.sparse
desiredChannels(Long) - Static method in class org.tensorflow.op.audio.DecodeWav: Sets the desiredChannels option.
desiredChannels - Variable in class org.tensorflow.op.audio.DecodeWav.Inputs: Number of sample channels wanted.
desiredChannels(Long) - Method in class org.tensorflow.op.audio.DecodeWav.Options: Sets the desiredChannels option.
desiredSamples(Long) - Static method in class org.tensorflow.op.audio.DecodeWav: Sets the desiredSamples option.
desiredSamples - Variable in class org.tensorflow.op.audio.DecodeWav.Inputs: Length of audio requested.
desiredSamples(Long) - Method in class org.tensorflow.op.audio.DecodeWav.Options: Sets the desiredSamples option.
DESTINATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferInfo
destinationPrefix - Variable in class org.tensorflow.op.train.MergeV2Checkpoints.Inputs: scalar.
DestroyResourceOp - Class in org.tensorflow.op.core: Deletes the resource specified by the handle.
DestroyResourceOp(Operation) - Constructor for class org.tensorflow.op.core.DestroyResourceOp
destroyResourceOp(Operand<? extends TType>, DestroyResourceOp.Options...) - Method in class org.tensorflow.op.Ops: Deletes the resource specified by the handle.
DestroyResourceOp.Inputs - Class in org.tensorflow.op.core
DestroyResourceOp.Options - Class in org.tensorflow.op.core: Optional attributes for DestroyResourceOp
DestroyTemporaryVariable<T extends TType> - Class in org.tensorflow.op.core: Destroys the temporary variable and returns its final value.
DestroyTemporaryVariable(Operation) - Constructor for class org.tensorflow.op.core.DestroyTemporaryVariable
destroyTemporaryVariable(Operand<T>, String) - Method in class org.tensorflow.op.Ops: Destroys the temporary variable and returns its final value.
DestroyTemporaryVariable.Inputs<T extends TType> - Class in org.tensorflow.op.core
Det<T extends TType> - Class in org.tensorflow.op.linalg: Computes the determinant of one or more square matrices.
Det(Operation) - Constructor for class org.tensorflow.op.linalg.Det
det(Operand<T>) - Method in class org.tensorflow.op.LinalgOps: Computes the determinant of one or more square matrices.
Det.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
detach(Pointer) - Method in class org.tensorflow.internal.WeakPointerScope: Detach a pointer from this scope.
deterministic(String) - Static method in class org.tensorflow.op.data.LegacyParallelInterleaveDataset: Sets the deterministic option.
deterministic - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The deterministic attribute
deterministic(String) - Method in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Options: Sets the deterministic option.
deterministic(String) - Static method in class org.tensorflow.op.data.ParallelBatchDataset: Sets the deterministic option.
deterministic - Variable in class org.tensorflow.op.data.ParallelBatchDataset.Inputs: The deterministic attribute
deterministic(String) - Method in class org.tensorflow.op.data.ParallelBatchDataset.Options: Sets the deterministic option.
deterministic(String) - Static method in class org.tensorflow.op.data.ParallelInterleaveDataset: Sets the deterministic option.
deterministic - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: A string indicating the op-level determinism to use.
deterministic(String) - Method in class org.tensorflow.op.data.ParallelInterleaveDataset.Options: Sets the deterministic option.
deterministic(String) - Static method in class org.tensorflow.op.data.ParallelMapDataset: Sets the deterministic option.
deterministic - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The deterministic attribute
deterministic(String) - Method in class org.tensorflow.op.data.ParallelMapDataset.Options: Sets the deterministic option.
deterministic(String) - Static method in class org.tensorflow.op.data.ParseExampleDataset: Sets the deterministic option.
deterministic - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: A string indicating the op-level determinism to use.
deterministic(String) - Method in class org.tensorflow.op.data.ParseExampleDataset.Options: Sets the deterministic option.
deterministic(Boolean) - Static method in class org.tensorflow.op.nn.FractionalAvgPool: Sets the deterministic option.
deterministic - Variable in class org.tensorflow.op.nn.FractionalAvgPool.Inputs: When set to True, a fixed pooling region will be used when iterating over a FractionalAvgPool node in the computation graph.
deterministic(Boolean) - Method in class org.tensorflow.op.nn.FractionalAvgPool.Options: Sets the deterministic option.
deterministic(Boolean) - Static method in class org.tensorflow.op.nn.FractionalMaxPool: Sets the deterministic option.
deterministic - Variable in class org.tensorflow.op.nn.FractionalMaxPool.Inputs: When set to True, a fixed pooling region will be used when iterating over a FractionalMaxPool node in the computation graph.
deterministic(Boolean) - Method in class org.tensorflow.op.nn.FractionalMaxPool.Options: Sets the deterministic option.
DETERMINISTIC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.Options
DEV_STATS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.StepStats
device() - Method in class org.tensorflow.GraphOperation: Get the op's device.
device() - Method in class org.tensorflow.op.data.experimental.IteratorGetDevice: Gets device.
device() - Method in class org.tensorflow.op.data.IteratorGetDevice: Gets device.
DEVICE_COUNT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto
DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CostGraphDef.Node
DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DeviceStepStats
DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NodeDef
DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpInfo
DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RemoteTensorHandle
DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ResourceHandleProto
DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedResource
DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedVariable
DEVICE_FILTERS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.distruntime.TaskDeviceFilters
DEVICE_FILTERS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto
DEVICE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.InterconnectLink
DEVICE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.DebuggedDevice
DEVICE_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.MachineConfiguration
DEVICE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.DebuggedDevice
DEVICE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.GraphExecutionTrace
DEVICE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.GraphOpCreation
DEVICE_PERSISTENT_MEMORY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpPerformance.OpMemory
DEVICE_PERSISTENT_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CostGraphDef.Node
DEVICE_PERSISTENT_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MemoryStats
DEVICE_PERSISTENT_TENSOR_ALLOC_IDS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MemoryStats
DEVICE_TEMP_MEMORY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpPerformance.OpMemory
DEVICE_TEMP_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CostGraphDef.Node
DEVICE_TEMP_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MemoryStats
DEVICE_TRACER_LEVEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.ProfileOptions
DEVICE_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DeviceAttributes
DEVICE_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.KernelDef
DEVICE_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.ProfileOptions
deviceAssignment(List<Long>) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the deviceAssignment option.
deviceAssignment(Long...) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the deviceAssignment option.
deviceAssignment - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: The assignment of devices for the computation.
deviceAssignment(List<Long>) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the deviceAssignment option.
deviceAssignment(Long...) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the deviceAssignment option.
deviceAssignment(List<Long>) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the deviceAssignment option.
deviceAssignment(Long...) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the deviceAssignment option.
deviceAssignment - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

The assignment of devices for the computation.
deviceAssignment(List<Long>) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the deviceAssignment option.
deviceAssignment(Long...) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the deviceAssignment option.
DeviceAttributes - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.DeviceAttributes
DeviceAttributes.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.DeviceAttributes
DeviceAttributesOrBuilder - Interface in org.tensorflow.proto.framework
DeviceAttributesProtos - Class in org.tensorflow.proto.framework
DeviceFiltersProtos - Class in org.tensorflow.proto.distruntime
deviceIndex(Integer) - Method in class org.tensorflow.DeviceSpec.Builder
deviceIndex() - Method in class org.tensorflow.DeviceSpec
DeviceIndex - Class in org.tensorflow.op.core: Return the index of device the op runs.
DeviceIndex(Operation) - Constructor for class org.tensorflow.op.core.DeviceIndex
DeviceIndex.Inputs - Class in org.tensorflow.op.core
DeviceLocality - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.DeviceLocality
DeviceLocality.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.DeviceLocality
DeviceLocalityOrBuilder - Interface in org.tensorflow.proto.framework
deviceName(String) - Static method in class org.tensorflow.op.debugging.DebugNanCount: Sets the deviceName option.
deviceName - Variable in class org.tensorflow.op.debugging.DebugNanCount.Inputs: The deviceName attribute
deviceName(String) - Method in class org.tensorflow.op.debugging.DebugNanCount.Options: Sets the deviceName option.
deviceNames - Variable in class org.tensorflow.op.core.DeviceIndex.Inputs: The deviceNames attribute
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingIntegerBatch: Sets the deviceOrdinal option.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingIntegerBatch.Inputs: The TPU device to use.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingIntegerBatch.Options: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch: Sets the deviceOrdinal option.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The TPU device to use.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch: Sets the deviceOrdinal option.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs: The TPU device to use.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Options: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch: Sets the deviceOrdinal option.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: The TPU device to use.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Options: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.InfeedEnqueue: Sets the deviceOrdinal option.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.InfeedEnqueue.Inputs: The TPU device to use.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.InfeedEnqueue.Options: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.InfeedEnqueuePrelinearizedBuffer: Sets the deviceOrdinal option.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.InfeedEnqueuePrelinearizedBuffer.Inputs: The TPU device to use.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.InfeedEnqueuePrelinearizedBuffer.Options: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.InfeedEnqueueTuple: Sets the deviceOrdinal option.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.InfeedEnqueueTuple.Inputs: The TPU device to use.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.InfeedEnqueueTuple.Options: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.OutfeedDequeue: Sets the deviceOrdinal option.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.OutfeedDequeue.Inputs: The TPU device to use.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.OutfeedDequeue.Options: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.OutfeedDequeueTuple: Sets the deviceOrdinal option.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.OutfeedDequeueTuple.Inputs: The TPU device to use.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.OutfeedDequeueTuple.Options: Sets the deviceOrdinal option.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.OutfeedDequeueTupleV2.Inputs: An int scalar tensor, representing the TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.OutfeedDequeueV2.Inputs: An int scalar tensor, representing the TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.PartitionedCall.Inputs: The TPU device ordinal to run the function on.
deviceOrdinals() - Method in class org.tensorflow.op.tpu.OrdinalSelector: Gets deviceOrdinals.
devicePlacementPolicy(EagerSession.DevicePlacementPolicy) - Method in class org.tensorflow.EagerSession.Options: Controls how to act when we try to run an operation on a given device but some input tensors are not on that device.
DeviceProperties - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.DeviceProperties
DeviceProperties.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.DeviceProperties
DevicePropertiesOrBuilder - Interface in org.tensorflow.proto.framework
DevicePropertiesProtos - Class in org.tensorflow.proto.framework
devices - Variable in class org.tensorflow.op.data.AnonymousMultiDeviceIterator.Inputs: The devices attribute
devices - Variable in class org.tensorflow.op.data.MultiDeviceIterator.Inputs: A list of devices the iterator works across.
DeviceSpec - Class in org.tensorflow: Represents a (possibly partial) specification for a TensorFlow device.
DeviceSpec.Builder - Class in org.tensorflow: A Builder class for building DeviceSpec class.
DeviceSpec.DeviceType - Enum in org.tensorflow
DeviceStepStats - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.DeviceStepStats
DeviceStepStats.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.DeviceStepStats
DeviceStepStatsOrBuilder - Interface in org.tensorflow.proto.framework
deviceType(DeviceSpec.DeviceType) - Method in class org.tensorflow.DeviceSpec.Builder
deviceType() - Method in class org.tensorflow.DeviceSpec
deviceVarReadsIndices - Variable in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables.Inputs: The deviceVarReadsIndices attribute
deviceVarUpdatesIndices - Variable in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables.Inputs: The deviceVarUpdatesIndices attribute
dg() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad: Gets dg.
dH - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The dH input
dHPrev() - Method in class org.tensorflow.op.nn.GRUBlockCellGrad: Gets dHPrev.
diagonal - Variable in class org.tensorflow.op.linalg.BatchMatrixDiag.Inputs: The diagonal input
diagonal() - Method in class org.tensorflow.op.linalg.BatchMatrixDiagPart: Gets diagonal.
diagonal - Variable in class org.tensorflow.op.linalg.BatchMatrixSetDiag.Inputs: The diagonal input
diagonal - Variable in class org.tensorflow.op.linalg.MatrixDiag.Inputs: Rank r, where r >= 1
diagonal() - Method in class org.tensorflow.op.linalg.MatrixDiagPart: Gets diagonal.
diagonal() - Method in class org.tensorflow.op.linalg.MatrixDiagPartV3: Gets diagonal.
diagonal - Variable in class org.tensorflow.op.linalg.MatrixDiagV3.Inputs: Rank r, where r >= 1
diagonal - Variable in class org.tensorflow.op.linalg.MatrixSetDiag.Inputs: Rank r when k is an integer or k[0] == k[1].
diagonal - Variable in class org.tensorflow.op.linalg.TensorDiag.Inputs: Rank k tensor where k is at most 1.
diagonal() - Method in class org.tensorflow.op.linalg.TensorDiagPart: Gets diagonal.
diagonals - Variable in class org.tensorflow.op.linalg.TridiagonalSolve.Inputs: Tensor of shape [..., 3, M] whose innermost 2 dimensions represent the tridiagonal matrices with three rows being the superdiagonal, diagonals, and subdiagonals, in order.
dicfo() - Method in class org.tensorflow.op.nn.LSTMBlockCellGrad: Gets dicfo.
DICT_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.StructuredValue
DictValue - Class in org.tensorflow.proto.framework: Represents a Python dict keyed by `str`.
DictValue.Builder - Class in org.tensorflow.proto.framework: Represents a Python dict keyed by `str`.
DictValueOrBuilder - Interface in org.tensorflow.proto.framework
Digamma<T extends TNumber> - Class in org.tensorflow.op.math: Computes Psi, the derivative of Lgamma (the log of the absolute value of Gamma(x)), element-wise.
Digamma(Operation) - Constructor for class org.tensorflow.op.math.Digamma
digamma(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes Psi, the derivative of Lgamma (the log of the absolute value of Gamma(x)), element-wise.
Digamma.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
Dilation2d<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the grayscale dilation of 4-D input and 3-D filter tensors.
Dilation2d(Operation) - Constructor for class org.tensorflow.op.nn.Dilation2d
dilation2d(Operand<T>, Operand<T>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.NnOps: Computes the grayscale dilation of 4-D input and 3-D filter tensors.
Dilation2d.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
Dilation2dBackpropFilter<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the gradient of morphological 2-D dilation with respect to the filter.
Dilation2dBackpropFilter(Operation) - Constructor for class org.tensorflow.op.nn.Dilation2dBackpropFilter
dilation2dBackpropFilter(Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.NnOps: Computes the gradient of morphological 2-D dilation with respect to the filter.
Dilation2dBackpropFilter.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
Dilation2dBackpropInput<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the gradient of morphological 2-D dilation with respect to the input.
Dilation2dBackpropInput(Operation) - Constructor for class org.tensorflow.op.nn.Dilation2dBackpropInput
dilation2dBackpropInput(Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.NnOps: Computes the gradient of morphological 2-D dilation with respect to the input.
Dilation2dBackpropInput.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.Conv2d: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.Conv2d: Sets the dilations option.
dilations - Variable in class org.tensorflow.op.nn.Conv2d.Inputs: 1-D tensor of length 4.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.Conv2d.Options: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.Conv2d.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilter: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilter: Sets the dilations option.
dilations - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: 1-D tensor of length 4.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter.Options: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInput: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInput: Sets the dilations option.
dilations - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: 1-D tensor of length 4.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.Conv2dBackpropInput.Options: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.Conv2dBackpropInput.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.Conv3d: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.Conv3d: Sets the dilations option.
dilations - Variable in class org.tensorflow.op.nn.Conv3d.Inputs: 1-D tensor of length 5.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.Conv3d.Options: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.Conv3d.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.Conv3dBackpropFilter: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.Conv3dBackpropFilter: Sets the dilations option.
dilations - Variable in class org.tensorflow.op.nn.Conv3dBackpropFilter.Inputs: 1-D tensor of length 5.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.Conv3dBackpropFilter.Options: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.Conv3dBackpropFilter.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.Conv3dBackpropInput: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.Conv3dBackpropInput: Sets the dilations option.
dilations - Variable in class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs: 1-D tensor of length 5.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.Conv3dBackpropInput.Options: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.Conv3dBackpropInput.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNative: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNative: Sets the dilations option.
dilations - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNative.Inputs: 1-D tensor of length 4.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNative.Options: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNative.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter: Sets the dilations option.
dilations - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs: 1-D tensor of length 4.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Options: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput: Sets the dilations option.
dilations - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs: 1-D tensor of length 4.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Options: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2d: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2d: Sets the dilations option.
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: 1-D tensor of length 4.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2d.Options: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2d.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu: Sets the dilations option.
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The dilations attribute
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Options: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize: Sets the dilations option.
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The dilations attribute
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Options: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize: Sets the dilations option.
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The dilations attribute
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Options: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DPerChannel: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DPerChannel: Sets the dilations option.
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: list of dilation values.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Options: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBias: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBias: Sets the dilations option.
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The dilations attribute
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Options: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu: Sets the dilations option.
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The dilations attribute
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Options: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize: Sets the dilations option.
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The dilations attribute
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Options: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize: Sets the dilations option.
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The dilations attribute
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Options: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize: Sets the dilations option.
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The dilations attribute
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Options: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu: Sets the dilations option.
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The dilations attribute
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Options: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize: Sets the dilations option.
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The dilations attribute
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Options: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D: Sets the dilations option.
dilations - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: List of dilation values.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Options: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias: Sets the dilations option.
dilations - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: List of dilation values.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Options: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu: Sets the dilations option.
dilations - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: List of dilation values.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Options: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize: Sets the dilations option.
dilations - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: List of dilation values.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.risc.RiscConv: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.risc.RiscConv: Sets the dilations option.
dilations - Variable in class org.tensorflow.op.risc.RiscConv.Inputs: The dilations attribute
dilations(List<Long>) - Method in class org.tensorflow.op.risc.RiscConv.Options: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.risc.RiscConv.Options: Sets the dilations option.
dim - Variable in class org.tensorflow.op.math.SobolSample.Inputs: Positive scalar Tensor representing each sample's dimension.
dim(Long) - Static method in class org.tensorflow.op.xla.SpmdFullToShardShape: Sets the dim option.
dim - Variable in class org.tensorflow.op.xla.SpmdFullToShardShape.Inputs: The dim attribute
dim(Long) - Method in class org.tensorflow.op.xla.SpmdFullToShardShape.Options: Sets the dim option.
dim(Long) - Static method in class org.tensorflow.op.xla.SpmdShardToFullShape: Sets the dim option.
dim - Variable in class org.tensorflow.op.xla.SpmdShardToFullShape.Inputs: The dim attribute
dim(Long) - Method in class org.tensorflow.op.xla.SpmdShardToFullShape.Options: Sets the dim option.
DIM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorShapeProto
dimension - Variable in class org.tensorflow.op.math.ArgMax.Inputs: int32 or int64, must be in the range [-rank(input), rank(input)).
dimension - Variable in class org.tensorflow.op.math.ArgMin.Inputs: int32 or int64, must be in the range [-rank(input), rank(input)).
dimension - Variable in class org.tensorflow.op.xla.XlaVariadicSort.Inputs: The dimension along which to sort.
DIMENSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
dimensionIds - Variable in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsembleV2.Inputs: List of rank 1 tensors representing the dimension in each feature.
dimensionNumbers - Variable in class org.tensorflow.op.xla.Conv.Inputs: a serialized xla::ConvolutionDimensionNumbers proto.
dimensionNumbers - Variable in class org.tensorflow.op.xla.Dot.Inputs: a serialized xla::DotDimensionNumbers proto.
dimensionNumbers - Variable in class org.tensorflow.op.xla.Gather.Inputs: A serialized xla::GatherDimensionNumbers proto.
dimensionNumbers - Variable in class org.tensorflow.op.xla.Scatter.Inputs: A serialized xla::ScatterDimensionNumbers proto.
dimensionsToReduce - Variable in class org.tensorflow.op.xla.Reduce.Inputs: dimension numbers over which to reduce
dimensionsToReduce - Variable in class org.tensorflow.op.xla.XlaVariadicReduce.Inputs: dimension numbers over which to reduce
dimIndex - Variable in class org.tensorflow.op.xla.RemoveDynamicDimensionSize.Inputs: The dimIndex input
dimIndex - Variable in class org.tensorflow.op.xla.SetDynamicDimensionSize.Inputs: The dimIndex input
dims - Variable in class org.tensorflow.op.core.Fill.Inputs: 1-D.
dims - Variable in class org.tensorflow.op.core.UnravelIndex.Inputs: An 1-D int Tensor.
DirectedInterleaveDataset - Class in org.tensorflow.op.data: A substitute for InterleaveDataset on a fixed list of N datasets.
DirectedInterleaveDataset(Operation) - Constructor for class org.tensorflow.op.data.DirectedInterleaveDataset
DirectedInterleaveDataset - Class in org.tensorflow.op.data.experimental: A substitute for InterleaveDataset on a fixed list of N datasets.
DirectedInterleaveDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.DirectedInterleaveDataset
directedInterleaveDataset(Operand<? extends TType>, Iterable<Operand<? extends TType>>, List<Class<? extends TType>>, List<Shape>, DirectedInterleaveDataset.Options...) - Method in class org.tensorflow.op.DataOps: A substitute for InterleaveDataset on a fixed list of N datasets.
DirectedInterleaveDataset.Inputs - Class in org.tensorflow.op.data
DirectedInterleaveDataset.Inputs - Class in org.tensorflow.op.data.experimental
DirectedInterleaveDataset.Options - Class in org.tensorflow.op.data: Optional attributes for DirectedInterleaveDataset
direction(String) - Static method in class org.tensorflow.op.nn.CudnnRNN: Sets the direction option.
direction - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The direction attribute
direction(String) - Method in class org.tensorflow.op.nn.CudnnRNN.Options: Sets the direction option.
direction(String) - Static method in class org.tensorflow.op.nn.CudnnRNNBackprop: Sets the direction option.
direction - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The direction attribute
direction(String) - Method in class org.tensorflow.op.nn.CudnnRNNBackprop.Options: Sets the direction option.
direction(String) - Static method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: Sets the direction option.
direction - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The direction attribute
direction(String) - Method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Options: Sets the direction option.
direction(String) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize: Sets the direction option.
direction - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The direction attribute
direction(String) - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize.Options: Sets the direction option.
direction(String) - Static method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Sets the direction option.
direction - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The direction attribute
direction(String) - Method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Options: Sets the direction option.
direction - Variable in class org.tensorflow.op.risc.RiscSort.Inputs: The direction attribute
DISABLE_FUNCTIONAL_OPS_LOWERING_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto.Experimental
DISABLE_META_OPTIMIZER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
DISABLE_MODEL_PRUNING_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
DISABLE_OUTPUT_PARTITION_GRAPHS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto.Experimental
DISABLE_SESSION_CONNECTION_SHARING_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RPCOptions
DISABLE_THREAD_SPINNING_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto.Experimental
DISPATCHER_ADDRESS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
DISPATCHER_TIMEOUT_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
DISPLAY_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XLine
DISPLAY_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SummaryMetadata
DISPLAY_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XEventMetadata
DISPLAY_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XLine
displayName - Variable in class org.tensorflow.op.data.experimental.ThreadPoolHandle.Inputs: A human-readable name for the threads that may be visible in some visualizations.
displayName - Variable in class org.tensorflow.op.data.ThreadPoolHandle.Inputs: A human-readable name for the threads that may be visible in some visualizations.
distances - Variable in class org.tensorflow.op.cluster.KMC2ChainInitialization.Inputs: Vector with squared distances to the closest previously sampled cluster center for each candidate point.
distortion(Float) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Sets the distortion option.
distortion - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: The distortion is used to skew the unigram probability distribution.
distortion(Float) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options: Sets the distortion option.
DISTRIBUTE_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.Options
DistributeOptions - Class in org.tensorflow.proto.data: next: 3
DistributeOptions.Builder - Class in org.tensorflow.proto.data: next: 3
DistributeOptions.OptionalNumDevicesCase - Enum in org.tensorflow.proto.data
DistributeOptionsOrBuilder - Interface in org.tensorflow.proto.data
Div<T extends TType> - Class in org.tensorflow.op.math: Returns x / y element-wise.
Div(Operation) - Constructor for class org.tensorflow.op.math.Div
div(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns x / y element-wise.
Div.Inputs<T extends TType> - Class in org.tensorflow.op.math
DivNoNan<T extends TType> - Class in org.tensorflow.op.math: Returns 0 if the denominator is zero.
DivNoNan(Operation) - Constructor for class org.tensorflow.op.math.DivNoNan
divNoNan(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns 0 if the denominator is zero.
DivNoNan.Inputs<T extends TType> - Class in org.tensorflow.op.math
dm() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad: Gets dm.
DO_COMMON_SUBEXPRESSION_ELIMINATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OptimizerOptions
DO_CONSTANT_FOLDING_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OptimizerOptions
DO_FUNCTION_INLINING_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OptimizerOptions
DO_NOT_USE_RESERVED_FOR_FUTURE_EXPANSION_USE_DEFAULT_IN_SWITCH_INSTEAD__VALUE - Static variable in enum org.tensorflow.proto.framework.Code: An extra enum entry to prevent people from writing code that fails to compile when a new code is added.
Dot<V extends TType> - Class in org.tensorflow.op.xla: Wraps the XLA DotGeneral operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#dotgeneral .
Dot(Operation) - Constructor for class org.tensorflow.op.xla.Dot
dot(Operand<? extends TType>, Operand<? extends TType>, String, String, Class<V>) - Method in class org.tensorflow.op.XlaOps: Wraps the XLA DotGeneral operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#dotgeneral .
Dot.Inputs - Class in org.tensorflow.op.xla
DOUBLE_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorProto
DOUBLE_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XStat
DOUBLE_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.EntryValue
DrawBoundingBoxes<T extends TNumber> - Class in org.tensorflow.op.image: Draw bounding boxes on a batch of images.
DrawBoundingBoxes(Operation) - Constructor for class org.tensorflow.op.image.DrawBoundingBoxes
drawBoundingBoxes(Operand<T>, Operand<TFloat32>, Operand<TFloat32>) - Method in class org.tensorflow.op.ImageOps: Draw bounding boxes on a batch of images.
DrawBoundingBoxes.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
dRBarUBar() - Method in class org.tensorflow.op.nn.GRUBlockCellGrad: Gets dRBarUBar.
driverName - Variable in class org.tensorflow.op.data.experimental.SqlDataset.Inputs: The database type.
driverName - Variable in class org.tensorflow.op.data.SqlDataset.Inputs: The database type.
dropout(Float) - Static method in class org.tensorflow.op.nn.CudnnRNN: Sets the dropout option.
dropout - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The dropout attribute
dropout(Float) - Method in class org.tensorflow.op.nn.CudnnRNN.Options: Sets the dropout option.
dropout(Float) - Static method in class org.tensorflow.op.nn.CudnnRNNBackprop: Sets the dropout option.
dropout - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The dropout attribute
dropout(Float) - Method in class org.tensorflow.op.nn.CudnnRNNBackprop.Options: Sets the dropout option.
dropout(Float) - Static method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: Sets the dropout option.
dropout - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The dropout attribute
dropout(Float) - Method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Options: Sets the dropout option.
dropout(Float) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize: Sets the dropout option.
dropout - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The dropout attribute
dropout(Float) - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize.Options: Sets the dropout option.
dropout(Float) - Static method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Sets the dropout option.
dropout - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The dropout attribute
dropout(Float) - Method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Options: Sets the dropout option.
dropRemainder - Variable in class org.tensorflow.op.data.BatchDataset.Inputs: A scalar representing whether the last batch should be dropped in case its size is smaller than desired.
dropRemainder - Variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs: A scalar representing whether the last batch should be dropped in case its size is smaller than desired.
dropRemainder - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: A scalar representing whether the last batch should be dropped in case its size is smaller than desired.
dropRemainder - Variable in class org.tensorflow.op.data.PaddedBatchDataset.Inputs: A scalar representing whether the last batch should be dropped in case its size is smaller than desired.
dropRemainder - Variable in class org.tensorflow.op.data.ParallelBatchDataset.Inputs: The dropRemainder input
dropRemainder - Variable in class org.tensorflow.op.data.RebatchDatasetV2.Inputs: The dropRemainder input
dropRemainder - Variable in class org.tensorflow.op.data.WindowDataset.Inputs: A Boolean scalar, representing whether the last window should be dropped if its size is smaller than window_size.
dstFormat(String) - Static method in class org.tensorflow.op.nn.DataFormatDimMap: Sets the dstFormat option.
dstFormat - Variable in class org.tensorflow.op.nn.DataFormatDimMap.Inputs: destination data format.
dstFormat(String) - Method in class org.tensorflow.op.nn.DataFormatDimMap.Options: Sets the dstFormat option.
dstFormat(String) - Static method in class org.tensorflow.op.nn.DataFormatVecPermute: Sets the dstFormat option.
dstFormat - Variable in class org.tensorflow.op.nn.DataFormatVecPermute.Inputs: destination data format.
dstFormat(String) - Method in class org.tensorflow.op.nn.DataFormatVecPermute.Options: Sets the dstFormat option.
DstT - Variable in class org.tensorflow.op.dtypes.Cast.Inputs: The DstT attribute
DstT - Variable in class org.tensorflow.op.risc.RiscBitcast.Inputs: The DstT attribute
DstT - Variable in class org.tensorflow.op.risc.RiscCast.Inputs: The DstT attribute
DstT - Variable in class org.tensorflow.op.risc.RiscCondition.Inputs: The DstT attribute
dt - Variable in class org.tensorflow.op.train.RestoreSlice.Inputs: The type of the tensor to be restored.
DT_BFLOAT16_REF_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_BFLOAT16_REF = 114;
DT_BFLOAT16_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: Float32 truncated to 16 bits.
DT_BOOL_REF_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_BOOL_REF = 110;
DT_BOOL_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_BOOL = 10;
DT_COMPLEX128_REF_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_COMPLEX128_REF = 118;
DT_COMPLEX128_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: Double-precision complex
DT_COMPLEX64_REF_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_COMPLEX64_REF = 108;
DT_COMPLEX64_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: Single-precision complex
DT_DOUBLE_REF_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_DOUBLE_REF = 102;
DT_DOUBLE_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_DOUBLE = 2;
DT_FLOAT_REF_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: Do not use! These are only for parameters.
DT_FLOAT_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: Data types that all computation devices are expected to be capable to support.
DT_HALF_REF_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_HALF_REF = 119;
DT_HALF_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_HALF = 19;
DT_INT16_REF_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_INT16_REF = 105;
DT_INT16_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_INT16 = 5;
DT_INT32_REF_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_INT32_REF = 103;
DT_INT32_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_INT32 = 3;
DT_INT64_REF_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_INT64_REF = 109;
DT_INT64_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_INT64 = 9;
DT_INT8_REF_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_INT8_REF = 106;
DT_INT8_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_INT8 = 6;
DT_INVALID_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: Not a legal value for DataType.
DT_QINT16_REF_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_QINT16_REF = 115;
DT_QINT16_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: Quantized int16
DT_QINT32_REF_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_QINT32_REF = 113;
DT_QINT32_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: Quantized int32
DT_QINT8_REF_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_QINT8_REF = 111;
DT_QINT8_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: Quantized int8
DT_QUINT16_REF_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_QUINT16_REF = 116;
DT_QUINT16_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: Quantized uint16
DT_QUINT8_REF_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_QUINT8_REF = 112;
DT_QUINT8_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: Quantized uint8
DT_RESOURCE_REF_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_RESOURCE_REF = 120;
DT_RESOURCE_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_RESOURCE = 20;
DT_STRING_REF_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_STRING_REF = 107;
DT_STRING_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_STRING = 7;
DT_UINT16_REF_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_UINT16_REF = 117;
DT_UINT16_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_UINT16 = 17;
DT_UINT32_REF_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_UINT32_REF = 122;
DT_UINT32_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_UINT32 = 22;
DT_UINT64_REF_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_UINT64_REF = 123;
DT_UINT64_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_UINT64 = 23;
DT_UINT8_REF_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_UINT8_REF = 104;
DT_UINT8_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_UINT8 = 4;
DT_VARIANT_REF_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: DT_VARIANT_REF = 121;
DT_VARIANT_VALUE - Static variable in enum org.tensorflow.proto.framework.DataType: Arbitrary C++ data types
dtype - Variable in class org.tensorflow.op.core.AssignAddVariableOp.Inputs: the dtype of the value.
dtype - Variable in class org.tensorflow.op.core.AssignSubVariableOp.Inputs: the dtype of the value.
dtype - Variable in class org.tensorflow.op.core.AssignVariableOp.Inputs: the dtype of the value.
dtype - Variable in class org.tensorflow.op.core.Empty.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.GetSessionTensor.Inputs: The type of the output value.
dtype - Variable in class org.tensorflow.op.core.HistogramFixedWidth.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.ImmutableConst.Inputs: Type of the returned tensor.
dtype - Variable in class org.tensorflow.op.core.IsVariableInitialized.Inputs: The type of elements in the variable tensor.
dtype - Variable in class org.tensorflow.op.core.Placeholder.Inputs: The type of elements in the tensor.
dtype - Variable in class org.tensorflow.op.core.PlaceholderWithDefault.Inputs: The type of elements in the tensor.
dtype - Variable in class org.tensorflow.op.core.ReadVariableOp.Inputs: the dtype of the value.
dtype - Variable in class org.tensorflow.op.core.ResourceGather.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.ResourceGatherNd.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.ResourceScatterAdd.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.ResourceScatterDiv.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.ResourceScatterMax.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.ResourceScatterMin.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.ResourceScatterMul.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.ResourceScatterSub.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.ResourceScatterUpdate.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.TemporaryVariable.Inputs: The type of elements in the variable tensor.
dtype - Variable in class org.tensorflow.op.core.TensorArray.Inputs: The type of the elements on the tensor_array.
dtype - Variable in class org.tensorflow.op.core.TensorArrayConcat.Inputs: The type of the elem that is returned.
dtype - Variable in class org.tensorflow.op.core.TensorArrayGather.Inputs: The type of the elem that is returned.
dtype - Variable in class org.tensorflow.op.core.TensorArrayPack.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.TensorArrayRead.Inputs: The type of the elem that is returned.
dtype - Variable in class org.tensorflow.op.core.VarHandleOp.Inputs: the type of this variable.
dtype - Variable in class org.tensorflow.op.core.Variable.Inputs: The type of elements in the variable tensor.
dtype - Variable in class org.tensorflow.op.image.DecodeImage.Inputs: The desired DType of the returned Tensor.
dtype - Variable in class org.tensorflow.op.image.DecodePng.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV2.Inputs: Input dtype.
dtype - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV3.Inputs: Input dtype.
dtype - Variable in class org.tensorflow.op.io.DeserializeManySparse.Inputs: The `dtype` of the serialized `SparseTensor` objects.
dtype - Variable in class org.tensorflow.op.math.SobolSample.Inputs: The type of the sample.
dtype - Variable in class org.tensorflow.op.quantization.Dequantize.Inputs: Type of the output tensor.
dtype - Variable in class org.tensorflow.op.random.NonDeterministicInts.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.RandomPoisson.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.random.RandomStandardNormal.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.RandomUniform.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatefulRandomBinomial.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.random.StatefulStandardNormal.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatefulTruncatedNormal.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatefulUniform.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatefulUniformFullInt.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatefulUniformInt.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomBinomial.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomGamma.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomNormal.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomNormalV2.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomPoisson.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomUniform.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullInt.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomUniformInt.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomUniformIntV2.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomUniformV2.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessTruncatedNormal.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessTruncatedNormalV2.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.TruncatedNormal.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.sparse.DeserializeSparse.Inputs: The `dtype` of the serialized `SparseTensor` objects.
dtype - Variable in class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient.Inputs: The data type of accumulated gradients.
dtype - Variable in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient.Inputs: The data type of accumulated gradients.
dtype - Variable in class org.tensorflow.op.sparse.SparseConditionalAccumulator.Inputs: The type of the value being accumulated.
dtype - Variable in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap.Inputs: The `dtype` of the `SparseTensor` objects stored in the `SparseTensorsMap`.
dtype - Variable in class org.tensorflow.op.tpu.InfeedDequeue.Inputs: The type of elements in the tensor.
dtype - Variable in class org.tensorflow.op.tpu.InfeedEnqueue.Inputs: The type of elements in the tensor.
dtype - Variable in class org.tensorflow.op.tpu.OutfeedDequeue.Inputs: The type of elements in the tensor.
dtype - Variable in class org.tensorflow.op.tpu.OutfeedDequeueV2.Inputs: The type of elements in the tensor.
dtype - Variable in class org.tensorflow.op.tpu.OutfeedEnqueue.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.tpu.Prelinearize.Inputs: The type of elements in the tensor.
dtype - Variable in class org.tensorflow.op.train.AccumulatorApplyGradient.Inputs: The data type of accumulated gradients.
dtype - Variable in class org.tensorflow.op.train.AccumulatorTakeGradient.Inputs: The data type of accumulated gradients.
dtype - Variable in class org.tensorflow.op.train.ConditionalAccumulator.Inputs: The type of the value being accumulated.
dtype - Variable in class org.tensorflow.op.train.ResourceAccumulatorApplyGradient.Inputs: The data type of accumulated gradients.
dtype - Variable in class org.tensorflow.op.train.ResourceAccumulatorTakeGradient.Inputs: The data type of accumulated gradients.
dtype - Variable in class org.tensorflow.op.train.ResourceConditionalAccumulator.Inputs: The type of the value being accumulated.
dtype - Variable in class org.tensorflow.op.xla.Recv.Inputs: The type of the tensor.
dtype - Variable in class org.tensorflow.op.xla.RngBitGenerator.Inputs: The type of the tensor.
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.example.FixedLenFeatureProto
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.example.VarLenFeatureProto
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.BoundedTensorSpecProto
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpInfo.TensorProperties
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RemoteTensorHandle
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ResourceDtypeAndShape
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedVariable
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorDescription
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorInfo
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorProto
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorSpecProto
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.BundleEntryProto
dtypes - Variable in class org.tensorflow.op.core.MapClear.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.MapIncompleteSize.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.MapPeek.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.MapSize.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.MapStage.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.MapUnstage.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.MapUnstageNoKey.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.OrderedMapClear.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.OrderedMapIncompleteSize.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.OrderedMapPeek.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.OrderedMapSize.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.OrderedMapStage.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.OrderedMapUnstage.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.Stage.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.StageClear.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.StagePeek.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.StageSize.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.Unstage.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.Ops
dtypes - Variable in class org.tensorflow.op.tpu.InfeedDequeueTuple.Inputs: The element types of each element in `outputs`.
dtypes - Variable in class org.tensorflow.op.tpu.InfeedEnqueueTuple.Inputs: The element types of each element in `inputs`.
dtypes - Variable in class org.tensorflow.op.tpu.OutfeedDequeueTuple.Inputs: The element types of each element in `outputs`.
dtypes - Variable in class org.tensorflow.op.tpu.OutfeedDequeueTupleV2.Inputs: The element types of each element in `outputs`.
dtypes - Variable in class org.tensorflow.op.tpu.OutfeedEnqueueTuple.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.tpu.PrelinearizeTuple.Inputs: The element types of each element in `inputs`.
dtypes - Variable in class org.tensorflow.op.train.Restore.Inputs: shape {N}.
dtypes - Variable in class org.tensorflow.op.train.Save.Inputs: The dtypes attribute
DTYPES_AND_SHAPES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ResourceHandleProto
DtypesOps - Class in org.tensorflow.op: An API for building dtypes operations as Ops
dummyDeallocator - Static variable in class org.tensorflow.internal.c_api.AbstractTF_Tensor: TensorFlow crashes if we don't pass it a deallocator, so...
DummyIterationCounter - Class in org.tensorflow.op.data: The DummyIterationCounter operation
DummyIterationCounter(Operation) - Constructor for class org.tensorflow.op.data.DummyIterationCounter
DummyIterationCounter.Inputs - Class in org.tensorflow.op.data
DummyMemoryCache - Class in org.tensorflow.op.core: The DummyMemoryCache operation
DummyMemoryCache(Operation) - Constructor for class org.tensorflow.op.core.DummyMemoryCache
DummyMemoryCache.Inputs - Class in org.tensorflow.op.core
DummySeedGenerator - Class in org.tensorflow.op.random: The DummySeedGenerator operation
DummySeedGenerator(Operation) - Constructor for class org.tensorflow.op.random.DummySeedGenerator
DummySeedGenerator.Inputs - Class in org.tensorflow.op.random
DURATION_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.ProfileOptions
DURATION_PS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XEvent
DURATION_PS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XLine
dv() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad: Gets dv.
dValues() - Method in class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad: Gets dValues.
dx(Iterable<? extends Operand<?>>) - Static method in class org.tensorflow.op.core.Gradients
dx(Iterable<? extends Operand<?>>) - Method in class org.tensorflow.op.core.Gradients.Options
dx() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad: Gets dx.
dX() - Method in class org.tensorflow.op.nn.GRUBlockCellGrad: Gets dX.
dy() - Method in class org.tensorflow.op.core.Gradients: Partial derivatives of ys w.r.t.
dy(int) - Method in class org.tensorflow.op.core.Gradients: Returns a symbolic handle to one of the gradient operation output
dy - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The dy input
dy - Variable in class org.tensorflow.op.math.ReciprocalGrad.Inputs: The dy input
dy - Variable in class org.tensorflow.op.math.RsqrtGrad.Inputs: The dy input
dy - Variable in class org.tensorflow.op.math.SigmoidGrad.Inputs: The dy input
dy - Variable in class org.tensorflow.op.math.SqrtGrad.Inputs: The dy input
dy - Variable in class org.tensorflow.op.math.TanhGrad.Inputs: The dy input
dy - Variable in class org.tensorflow.op.nn.InvGrad.Inputs: The dy input
DYNAMIC_VALUE - Static variable in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy: The input dataset is dynamically split among workers at runtime.
DynamicPartition<T extends TType> - Class in org.tensorflow.op.core: Partitions data into num_partitions tensors using indices from partitions.
DynamicPartition(Operation) - Constructor for class org.tensorflow.op.core.DynamicPartition
dynamicPartition(Operand<T>, Operand<TInt32>, Long) - Method in class org.tensorflow.op.Ops: Partitions data into num_partitions tensors using indices from partitions.
DynamicPartition.Inputs<T extends TType> - Class in org.tensorflow.op.core
dynamicShapes - Variable in class org.tensorflow.op.tpu.Compile.Inputs: The dynamicShapes input
dynamicSize(Boolean) - Static method in class org.tensorflow.op.core.TensorArray: Sets the dynamicSize option.
dynamicSize - Variable in class org.tensorflow.op.core.TensorArray.Inputs: A boolean that determines whether writes to the TensorArray are allowed to grow the size.
dynamicSize(Boolean) - Method in class org.tensorflow.op.core.TensorArray.Options: Sets the dynamicSize option.
DynamicSlice<T extends TType> - Class in org.tensorflow.op.xla: Wraps the XLA DynamicSlice operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#dynamicslice .
DynamicSlice(Operation) - Constructor for class org.tensorflow.op.xla.DynamicSlice
dynamicSlice(Operand<T>, Operand, Operand) - Method in class org.tensorflow.op.XlaOps: Wraps the XLA DynamicSlice operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#dynamicslice .
DynamicSlice.Inputs<T extends TType,U extends TNumber> - Class in org.tensorflow.op.xla
DynamicStitch<T extends TType> - Class in org.tensorflow.op.core: Interleave the values from the data tensors into a single tensor.
DynamicStitch(Operation) - Constructor for class org.tensorflow.op.core.DynamicStitch
dynamicStitch(Iterable<Operand<TInt32>>, Iterable<Operand<T>>) - Method in class org.tensorflow.op.Ops: Interleave the values from the data tensors into a single tensor.
DynamicStitch.Inputs<T extends TType> - Class in org.tensorflow.op.core
DynamicUpdateSlice<T extends TType> - Class in org.tensorflow.op.xla: Wraps the XLA DynamicUpdateSlice operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#dynamicupdateslice .
DynamicUpdateSlice(Operation) - Constructor for class org.tensorflow.op.xla.DynamicUpdateSlice
dynamicUpdateSlice(Operand<T>, Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.XlaOps: Wraps the XLA DynamicUpdateSlice operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#dynamicupdateslice .
DynamicUpdateSlice.Inputs<T extends TType> - Class in org.tensorflow.op.xla

E

e - Variable in class org.tensorflow.op.core.Select.Inputs: The e input
e() - Method in class org.tensorflow.op.linalg.BatchSelfAdjointEig: Gets e.
e() - Method in class org.tensorflow.op.linalg.Eig: Gets e.
e() - Method in class org.tensorflow.op.linalg.SelfAdjointEig: Gets e.
EagerSession - Class in org.tensorflow: An environment for executing TensorFlow operations eagerly.
EagerSession.DevicePlacementPolicy - Enum in org.tensorflow: Controls how to act when we try to run an operation on a given device but some input tensors are not on that device.
EagerSession.Options - Class in org.tensorflow
EDGE_BENCHMARK_VALUE - Static variable in enum org.tensorflow.proto.util.testlog.TestResults.BenchmarkType: EDGE_BENCHMARK = 4;
EditDistance - Class in org.tensorflow.op.core: Computes the (possibly normalized) Levenshtein Edit Distance.
EditDistance(Operation) - Constructor for class org.tensorflow.op.core.EditDistance
editDistance(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<T>, Operand<TInt64>, EditDistance.Options...) - Method in class org.tensorflow.op.Ops: Computes the (possibly normalized) Levenshtein Edit Distance.
EditDistance.Inputs<T extends TType> - Class in org.tensorflow.op.core
EditDistance.Options - Class in org.tensorflow.op.core: Optional attributes for EditDistance
Eig - Class in org.tensorflow.op.linalg: Computes the eigen decomposition of one or more square matrices.
Eig(Operation) - Constructor for class org.tensorflow.op.linalg.Eig
eig(Operand<? extends TType>, Class, Eig.Options...) - Method in class org.tensorflow.op.LinalgOps: Computes the eigen decomposition of one or more square matrices.
Eig.Inputs - Class in org.tensorflow.op.linalg
Eig.Options - Class in org.tensorflow.op.linalg: Optional attributes for Eig
Einsum<T extends TType> - Class in org.tensorflow.op.linalg: Tensor contraction according to Einstein summation convention.
Einsum(Operation) - Constructor for class org.tensorflow.op.linalg.Einsum
einsum(Iterable<Operand<T>>, String) - Method in class org.tensorflow.op.LinalgOps: Tensor contraction according to Einstein summation convention.
Einsum<T extends TType> - Class in org.tensorflow.op.xla: An op which supports basic einsum op with 2 inputs and 1 output.
Einsum(Operation) - Constructor for class org.tensorflow.op.xla.Einsum
einsum(Operand<T>, Operand<T>, String) - Method in class org.tensorflow.op.XlaOps: An op which supports basic einsum op with 2 inputs and 1 output.
Einsum.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
Einsum.Inputs<T extends TType> - Class in org.tensorflow.op.xla
ELEMENT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
elementDtype - Variable in class org.tensorflow.op.core.EmptyTensorList.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListConcat.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListConcatLists.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListFromTensor.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListGather.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListGetItem.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListPopBack.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListPushBack.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListPushBackBatch.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListReserve.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListScatter.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListScatterIntoExistingList.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListSetItem.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListSplit.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListStack.Inputs: The elementDtype attribute
elementShape - Variable in class org.tensorflow.op.core.EmptyTensorList.Inputs: The elementShape input
elementShape(Shape) - Static method in class org.tensorflow.op.core.TensorArray: Sets the elementShape option.
elementShape - Variable in class org.tensorflow.op.core.TensorArray.Inputs: The expected shape of an element, if known.
elementShape(Shape) - Method in class org.tensorflow.op.core.TensorArray.Options: Sets the elementShape option.
elementShape(Shape) - Static method in class org.tensorflow.op.core.TensorArrayGather: Sets the elementShape option.
elementShape - Variable in class org.tensorflow.op.core.TensorArrayGather.Inputs: The expected shape of an element, if known.
elementShape(Shape) - Method in class org.tensorflow.op.core.TensorArrayGather.Options: Sets the elementShape option.
elementShape(Shape) - Static method in class org.tensorflow.op.core.TensorArrayPack: Sets the elementShape option.
elementShape - Variable in class org.tensorflow.op.core.TensorArrayPack.Inputs: The elementShape attribute
elementShape(Shape) - Method in class org.tensorflow.op.core.TensorArrayPack.Options: Sets the elementShape option.
elementShape - Variable in class org.tensorflow.op.core.TensorListConcat.Inputs: The elementShape input
elementShape() - Method in class org.tensorflow.op.core.TensorListElementShape: Gets elementShape.
elementShape - Variable in class org.tensorflow.op.core.TensorListFromTensor.Inputs: The elementShape input
elementShape - Variable in class org.tensorflow.op.core.TensorListGather.Inputs: The elementShape input
elementShape - Variable in class org.tensorflow.op.core.TensorListGetItem.Inputs: The elementShape input
elementShape - Variable in class org.tensorflow.op.core.TensorListPopBack.Inputs: The elementShape input
elementShape - Variable in class org.tensorflow.op.core.TensorListReserve.Inputs: The elementShape input
elementShape - Variable in class org.tensorflow.op.core.TensorListScatter.Inputs: The elementShape input
elementShape - Variable in class org.tensorflow.op.core.TensorListSplit.Inputs: The elementShape input
elementShape - Variable in class org.tensorflow.op.core.TensorListStack.Inputs: The elementShape input
elementShapeExcept0(Shape) - Static method in class org.tensorflow.op.core.TensorArrayConcat: Sets the elementShapeExcept0 option.
elementShapeExcept0 - Variable in class org.tensorflow.op.core.TensorArrayConcat.Inputs: The expected shape of an element, if known, excluding the first dimension.
elementShapeExcept0(Shape) - Method in class org.tensorflow.op.core.TensorArrayConcat.Options: Sets the elementShapeExcept0 option.
elementSpec(String) - Static method in class org.tensorflow.op.data.RegisterDataset: Sets the elementSpec option.
elementSpec - Variable in class org.tensorflow.op.data.RegisterDataset.Inputs: The elementSpec attribute
elementSpec(String) - Method in class org.tensorflow.op.data.RegisterDataset.Options: Sets the elementSpec option.
ellipsisMask(Long) - Static method in class org.tensorflow.op.core.ResourceStridedSliceAssign: Sets the ellipsisMask option.
ellipsisMask - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The ellipsisMask attribute
ellipsisMask(Long) - Method in class org.tensorflow.op.core.ResourceStridedSliceAssign.Options: Sets the ellipsisMask option.
ellipsisMask(Long) - Static method in class org.tensorflow.op.core.StridedSlice: Sets the ellipsisMask option.
ellipsisMask - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: a bitmask where bit `i` being 1 means the `i`th position is actually an ellipsis.
ellipsisMask(Long) - Method in class org.tensorflow.op.core.StridedSlice.Options: Sets the ellipsisMask option.
ellipsisMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceAssign: Sets the ellipsisMask option.
ellipsisMask - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The ellipsisMask attribute
ellipsisMask(Long) - Method in class org.tensorflow.op.core.StridedSliceAssign.Options: Sets the ellipsisMask option.
ellipsisMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceGrad: Sets the ellipsisMask option.
ellipsisMask - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The ellipsisMask attribute
ellipsisMask(Long) - Method in class org.tensorflow.op.core.StridedSliceGrad.Options: Sets the ellipsisMask option.
ellipsisMask(Long) - Static method in class org.tensorflow.op.core.TensorStridedSliceUpdate: Sets the ellipsisMask option.
ellipsisMask - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The ellipsisMask attribute
ellipsisMask(Long) - Method in class org.tensorflow.op.core.TensorStridedSliceUpdate.Options: Sets the ellipsisMask option.
Elu<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the exponential linear function.
Elu(Operation) - Constructor for class org.tensorflow.op.nn.Elu
elu(Operand<T>) - Method in class org.tensorflow.op.NnOps: Computes the exponential linear function.
Elu.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
EluGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes gradients for the exponential linear (Elu) operation.
EluGrad(Operation) - Constructor for class org.tensorflow.op.nn.EluGrad
EluGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
EmbeddingActivations - Class in org.tensorflow.op.tpu: An op enabling differentiation of TPU Embeddings.
EmbeddingActivations(Operation) - Constructor for class org.tensorflow.op.tpu.EmbeddingActivations
EmbeddingActivations.Inputs - Class in org.tensorflow.op.tpu
embeddingConfig(String) - Static method in class org.tensorflow.op.tpu.ConfigureDistributedTPU: Sets the embeddingConfig option.
embeddingConfig - Variable in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Inputs: Reserved.
embeddingConfig(String) - Method in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Options: Sets the embeddingConfig option.
embeddingIndices - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: A list of rank 1 Tensors, indices into the embedding tables.
embeddingIndices - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs: A list of rank 1 Tensors, indices into the embedding tables.
embeddingIndices - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: A list of rank 1 Tensors, indices into the embedding tables.
embeddingVariable - Variable in class org.tensorflow.op.tpu.EmbeddingActivations.Inputs: A trainable variable, enabling optimizers to find this op.
embeddingVariable - Variable in class org.tensorflow.op.tpu.TPUEmbeddingActivations.Inputs: Deprecated.

A trainable variable, enabling optimizers to find this op.
empty() - Method in class org.tensorflow.internal.c_api.NameMap
empty() - Method in class org.tensorflow.internal.c_api.NativeOutputVector
Empty<T extends TType> - Class in org.tensorflow.op.core: Creates a tensor with the given shape.
Empty(Operation) - Constructor for class org.tensorflow.op.core.Empty
empty(Operand<TInt32>, Class<T>, Empty.Options...) - Method in class org.tensorflow.op.Ops: Creates a tensor with the given shape.
Empty.Inputs - Class in org.tensorflow.op.core
Empty.Options - Class in org.tensorflow.op.core: Optional attributes for Empty
emptyKey - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: The key used to represent empty key buckets internally.
emptyRowIndicator() - Method in class org.tensorflow.op.sparse.SparseFillEmptyRows: Gets emptyRowIndicator.
EmptyTensorList - Class in org.tensorflow.op.core: Creates and returns an empty tensor list.
EmptyTensorList(Operation) - Constructor for class org.tensorflow.op.core.EmptyTensorList
emptyTensorList(Operand<? extends TNumber>, Operand<TInt32>, Class) - Method in class org.tensorflow.op.Ops: Creates and returns an empty tensor list.
EmptyTensorList.Inputs - Class in org.tensorflow.op.core
EmptyTensorMap - Class in org.tensorflow.op.core: Creates and returns an empty tensor map.
EmptyTensorMap(Operation) - Constructor for class org.tensorflow.op.core.EmptyTensorMap
emptyTensorMap() - Method in class org.tensorflow.op.Ops: Creates and returns an empty tensor map.
EmptyTensorMap.Inputs - Class in org.tensorflow.op.core
ENABLE_BFLOAT16_SENDRECV_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphOptions
ENABLE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AutoParallelOptions
ENABLE_HLO_PROTO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.ProfileOptions
ENABLE_MLIR_BRIDGE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto.Experimental
ENABLE_MLIR_GRAPH_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto.Experimental
ENABLE_OP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ScopedAllocatorOptions
ENABLE_RECV_SCHEDULING_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphOptions
ENABLED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.AutotuneOptions
enableLargeBatchSplitting(Boolean) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the enableLargeBatchSplitting option.
enableLargeBatchSplitting - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: input with a large size (i.e., larger than the largest value of `allowed_batch_sizes`) will be splitted into multiple batches with batch size.
enableLargeBatchSplitting(Boolean) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the enableLargeBatchSplitting option.
enableWholeMeshCompilations(Boolean) - Static method in class org.tensorflow.op.tpu.ConfigureDistributedTPU: Sets the enableWholeMeshCompilations option.
enableWholeMeshCompilations - Variable in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Inputs: The enableWholeMeshCompilations attribute
enableWholeMeshCompilations(Boolean) - Method in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Options: Sets the enableWholeMeshCompilations option.
EncodeBase64 - Class in org.tensorflow.op.io: Encode strings into web-safe base64 format.
EncodeBase64(Operation) - Constructor for class org.tensorflow.op.io.EncodeBase64
encodeBase64(Operand<TString>, EncodeBase64.Options...) - Method in class org.tensorflow.op.IoOps: Encode strings into web-safe base64 format.
EncodeBase64.Inputs - Class in org.tensorflow.op.io
EncodeBase64.Options - Class in org.tensorflow.op.io: Optional attributes for EncodeBase64
encoded() - Method in class org.tensorflow.op.core.CompositeTensorVariantFromComponents: Gets encoded.
encoded - Variable in class org.tensorflow.op.core.CompositeTensorVariantToComponents.Inputs: A scalar variant Tensor containing an encoded ExtensionType value.
ENCODED_AUDIO_STRING_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.Summary.Audio
ENCODED_IMAGE_STRING_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.Summary.Image
encodedRagged - Variable in class org.tensorflow.op.ragged.RaggedTensorFromVariant.Inputs: A variant Tensor containing encoded RaggedTensors.
encodedRagged() - Method in class org.tensorflow.op.ragged.RaggedTensorToVariant: Gets encodedRagged.
encodedRaggedGrad - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariantGradient.Inputs: A variant Tensor containing encoded RaggedTensor gradients.
EncodeJpeg - Class in org.tensorflow.op.image: JPEG-encode an image.
EncodeJpeg(Operation) - Constructor for class org.tensorflow.op.image.EncodeJpeg
encodeJpeg(Operand<TUint8>, EncodeJpeg.Options...) - Method in class org.tensorflow.op.ImageOps: JPEG-encode an image.
EncodeJpeg.Inputs - Class in org.tensorflow.op.image
EncodeJpeg.Options - Class in org.tensorflow.op.image: Optional attributes for EncodeJpeg
EncodeJpegVariableQuality - Class in org.tensorflow.op.image: JPEG encode input image with provided compression quality.
EncodeJpegVariableQuality(Operation) - Constructor for class org.tensorflow.op.image.EncodeJpegVariableQuality
encodeJpegVariableQuality(Operand<TUint8>, Operand<TInt32>) - Method in class org.tensorflow.op.ImageOps: JPEG encode input image with provided compression quality.
EncodeJpegVariableQuality.Inputs - Class in org.tensorflow.op.image
EncodePng - Class in org.tensorflow.op.image: PNG-encode an image.
EncodePng(Operation) - Constructor for class org.tensorflow.op.image.EncodePng
encodePng(Operand<? extends TNumber>, EncodePng.Options...) - Method in class org.tensorflow.op.ImageOps: PNG-encode an image.
EncodePng.Inputs - Class in org.tensorflow.op.image
EncodePng.Options - Class in org.tensorflow.op.image: Optional attributes for EncodePng
EncodeProto - Class in org.tensorflow.op.core: The op serializes protobuf messages provided in the input tensors.
EncodeProto(Operation) - Constructor for class org.tensorflow.op.core.EncodeProto
encodeProto(Operand<TInt32>, Iterable<Operand<?>>, List<String>, String, EncodeProto.Options...) - Method in class org.tensorflow.op.Ops: The op serializes protobuf messages provided in the input tensors.
EncodeProto.Inputs - Class in org.tensorflow.op.core
EncodeProto.Options - Class in org.tensorflow.op.core: Optional attributes for EncodeProto
EncodeWav - Class in org.tensorflow.op.audio: Encode audio data using the WAV file format.
EncodeWav(Operation) - Constructor for class org.tensorflow.op.audio.EncodeWav
encodeWav(Operand<TFloat32>, Operand<TInt32>) - Method in class org.tensorflow.op.AudioOps: Encode audio data using the WAV file format.
EncodeWav.Inputs - Class in org.tensorflow.op.audio
encoding(String) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader: Sets the encoding option.
encoding - Variable in class org.tensorflow.op.io.FixedLengthRecordReader.Inputs: The type of encoding for the file.
encoding(String) - Method in class org.tensorflow.op.io.FixedLengthRecordReader.Options: Sets the encoding option.
encoding(String) - Static method in class org.tensorflow.op.strings.Lower: Sets the encoding option.
encoding - Variable in class org.tensorflow.op.strings.Lower.Inputs: Character encoding of `input`.
encoding(String) - Method in class org.tensorflow.op.strings.Lower.Options: Sets the encoding option.
encoding(String) - Static method in class org.tensorflow.op.strings.Upper: Sets the encoding option.
encoding - Variable in class org.tensorflow.op.strings.Upper.Inputs: Character encoding of `input`.
encoding(String) - Method in class org.tensorflow.op.strings.Upper.Options: Sets the encoding option.
end() - Method in class org.tensorflow.internal.c_api.NameMap
end() - Method in class org.tensorflow.internal.c_api.NativeOutputVector
end(String) - Static method in class org.tensorflow.op.core.Print: Sets the end option.
end - Variable in class org.tensorflow.op.core.Print.Inputs: The end attribute
end(String) - Method in class org.tensorflow.op.core.Print.Options: Sets the end option.
end - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The end input
end - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: end[i] is like begin with the exception that end_mask is used to determine full ranges.
end - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The end input
end - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The end input
end - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The end input
ENDIANNESS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.BundleHeaderProto
endMask(Long) - Static method in class org.tensorflow.op.core.ResourceStridedSliceAssign: Sets the endMask option.
endMask - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The endMask attribute
endMask(Long) - Method in class org.tensorflow.op.core.ResourceStridedSliceAssign.Options: Sets the endMask option.
endMask(Long) - Static method in class org.tensorflow.op.core.StridedSlice: Sets the endMask option.
endMask - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: analogous to `begin_mask`
endMask(Long) - Method in class org.tensorflow.op.core.StridedSlice.Options: Sets the endMask option.
endMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceAssign: Sets the endMask option.
endMask - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The endMask attribute
endMask(Long) - Method in class org.tensorflow.op.core.StridedSliceAssign.Options: Sets the endMask option.
endMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceGrad: Sets the endMask option.
endMask - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The endMask attribute
endMask(Long) - Method in class org.tensorflow.op.core.StridedSliceGrad.Options: Sets the endMask option.
endMask(Long) - Static method in class org.tensorflow.op.core.TensorStridedSliceUpdate: Sets the endMask option.
endMask - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The endMask attribute
endMask(Long) - Method in class org.tensorflow.op.core.TensorStridedSliceUpdate.Options: Sets the endMask option.
Endpoint - Annotation Type in org.tensorflow.op.annotation: Annotation used to mark a method of a class annotated with @Operator that should generate an endpoint into Ops or one of its groups.
ENDPOINT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ApiDef
ENQUEUE_OP_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.QueueRunnerDef
EnqueueTPUEmbeddingIntegerBatch - Class in org.tensorflow.op.tpu: An op that enqueues a list of input batch tensors to TPUEmbedding.
EnqueueTPUEmbeddingIntegerBatch(Operation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingIntegerBatch
EnqueueTPUEmbeddingIntegerBatch.Inputs - Class in org.tensorflow.op.tpu
EnqueueTPUEmbeddingIntegerBatch.Options - Class in org.tensorflow.op.tpu: Optional attributes for EnqueueTPUEmbeddingIntegerBatch
EnqueueTPUEmbeddingRaggedTensorBatch - Class in org.tensorflow.op.tpu: Eases the porting of code that uses tf.nn.embedding_lookup().
EnqueueTPUEmbeddingRaggedTensorBatch(Operation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch
EnqueueTPUEmbeddingRaggedTensorBatch.Inputs - Class in org.tensorflow.op.tpu
EnqueueTPUEmbeddingRaggedTensorBatch.Options - Class in org.tensorflow.op.tpu: Optional attributes for EnqueueTPUEmbeddingRaggedTensorBatch
EnqueueTPUEmbeddingSparseBatch - Class in org.tensorflow.op.tpu: An op that enqueues TPUEmbedding input indices from a SparseTensor.
EnqueueTPUEmbeddingSparseBatch(Operation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch
EnqueueTPUEmbeddingSparseBatch.Inputs - Class in org.tensorflow.op.tpu
EnqueueTPUEmbeddingSparseBatch.Options - Class in org.tensorflow.op.tpu: Optional attributes for EnqueueTPUEmbeddingSparseBatch
EnqueueTPUEmbeddingSparseTensorBatch - Class in org.tensorflow.op.tpu: Eases the porting of code that uses tf.nn.embedding_lookup_sparse().
EnqueueTPUEmbeddingSparseTensorBatch(Operation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch
EnqueueTPUEmbeddingSparseTensorBatch.Inputs - Class in org.tensorflow.op.tpu
EnqueueTPUEmbeddingSparseTensorBatch.Options - Class in org.tensorflow.op.tpu: Optional attributes for EnqueueTPUEmbeddingSparseTensorBatch
ensureMinimumRange(Float) - Static method in class org.tensorflow.op.quantization.Quantize: Sets the ensureMinimumRange option.
ensureMinimumRange - Variable in class org.tensorflow.op.quantization.Quantize.Inputs: The ensureMinimumRange attribute
ensureMinimumRange(Float) - Method in class org.tensorflow.op.quantization.Quantize.Options: Sets the ensureMinimumRange option.
EnsureShape<T extends TType> - Class in org.tensorflow.op.core: Ensures that the tensor's shape matches the expected shape.
EnsureShape(Operation) - Constructor for class org.tensorflow.op.core.EnsureShape
ensureShape(Operand<T>, Shape) - Method in class org.tensorflow.op.Ops: Ensures that the tensor's shape matches the expected shape.
EnsureShape.Inputs<T extends TType> - Class in org.tensorflow.op.core
Enter<T extends TType> - Class in org.tensorflow.op.core: Creates or finds a child frame, and makes data available to the child frame.
Enter(Operation) - Constructor for class org.tensorflow.op.core.Enter
Enter.Inputs<T extends TType> - Class in org.tensorflow.op.core
Enter.Options - Class in org.tensorflow.op.core: Optional attributes for Enter
ENTRIES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.TestResults
ENTRY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.BenchmarkEntries
EntryValue - Class in org.tensorflow.proto.util.testlog: Protobuf type tensorflow.EntryValue
EntryValue.Builder - Class in org.tensorflow.proto.util.testlog: Protobuf type tensorflow.EntryValue
EntryValue.KindCase - Enum in org.tensorflow.proto.util.testlog
EntryValueOrBuilder - Interface in org.tensorflow.proto.util.testlog
env() - Method in class org.tensorflow.GraphOperation
env() - Method in class org.tensorflow.op.GradientScope
env() - Method in interface org.tensorflow.op.Op: Return the execution environment this op was created in.
env() - Method in class org.tensorflow.op.OpScope
env() - Method in interface org.tensorflow.op.Scope: Returns the execution environment used by this scope.
env() - Method in interface org.tensorflow.Operation: Returns the execution environment this operation was created in.
ENV_VARS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.RunConfiguration
ENVIRONMENT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DeviceProperties
environmentType() - Method in class org.tensorflow.EagerSession
environmentType() - Method in interface org.tensorflow.ExecutionEnvironment: Get the type of this environment (from the `Environments` enumeration.
environmentType() - Method in class org.tensorflow.Graph
epsilon - Variable in class org.tensorflow.op.estimator.BoostedTreesCreateQuantileStreamResource.Inputs: float; The required approximation error of the stream resource.
epsilon - Variable in class org.tensorflow.op.estimator.BoostedTreesMakeQuantileSummaries.Inputs: float; The required maximum approximation error.
epsilon(Float) - Static method in class org.tensorflow.op.nn.FusedBatchNorm: Sets the epsilon option.
epsilon - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: A small float number added to the variance of x.
epsilon(Float) - Method in class org.tensorflow.op.nn.FusedBatchNorm.Options: Sets the epsilon option.
epsilon(Float) - Static method in class org.tensorflow.op.nn.FusedBatchNormGrad: Sets the epsilon option.
epsilon - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: A small float number added to the variance of x.
epsilon(Float) - Method in class org.tensorflow.op.nn.FusedBatchNormGrad.Options: Sets the epsilon option.
epsilon - Variable in class org.tensorflow.op.train.ApplyAdadelta.Inputs: Constant factor.
epsilon - Variable in class org.tensorflow.op.train.ApplyAdagradV2.Inputs: Constant factor.
epsilon - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs: Constant factor.
epsilon - Variable in class org.tensorflow.op.train.ResourceApplyAdagrad.Inputs: Constant factor.
epsilon - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: Constant factor.
epsilon - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: Constant factor.
epsilon - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: Constant factor.
epsilon - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: Constant factor.
epsilon - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.xla.SelfAdjointEig.Inputs: the tolerance ratio.
epsilon - Variable in class org.tensorflow.op.xla.Svd.Inputs: the tolerance ratio.
Equal - Class in org.tensorflow.op.math: Returns the truth value of (x == y) element-wise.
Equal(Operation) - Constructor for class org.tensorflow.op.math.Equal
equal(Operand<T>, Operand<T>, Equal.Options...) - Method in class org.tensorflow.op.MathOps: Returns the truth value of (x == y) element-wise.
Equal.Inputs<T extends TType> - Class in org.tensorflow.op.math
Equal.Options - Class in org.tensorflow.op.math: Optional attributes for Equal
equals(Object) - Method in class org.tensorflow.DeviceSpec
equals(Object) - Method in class org.tensorflow.GraphOperation
equals(NameMap.Iterator) - Method in class org.tensorflow.internal.c_api.NameMap.Iterator
equals(NativeOperation) - Method in class org.tensorflow.internal.c_api.NativeOperation
equals(NativeOutput) - Method in class org.tensorflow.internal.c_api.NativeOutput
equals(NativeOutputVector.Iterator) - Method in class org.tensorflow.internal.c_api.NativeOutputVector.Iterator
equals(NativeStatus) - Method in class org.tensorflow.internal.c_api.NativeStatus
equals(Object) - Method in class org.tensorflow.op.RawOp
equals(Object) - Method in class org.tensorflow.op.RawOpInputs
equals(Object) - Method in class org.tensorflow.Output
equals(Object) - Method in class org.tensorflow.proto.data.AutotuneOptions
equals(Object) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
equals(Object) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
equals(Object) - Method in class org.tensorflow.proto.data.DistributeOptions
equals(Object) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
equals(Object) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
equals(Object) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
equals(Object) - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord
equals(Object) - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
equals(Object) - Method in class org.tensorflow.proto.data.experimental.TensorMetadata
equals(Object) - Method in class org.tensorflow.proto.data.model.ModelProto
equals(Object) - Method in class org.tensorflow.proto.data.model.ModelProto.Node
equals(Object) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
equals(Object) - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
equals(Object) - Method in class org.tensorflow.proto.data.OptimizationOptions
equals(Object) - Method in class org.tensorflow.proto.data.Options
equals(Object) - Method in class org.tensorflow.proto.data.ThreadingOptions
equals(Object) - Method in class org.tensorflow.proto.distruntime.ClusterDef
equals(Object) - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
equals(Object) - Method in class org.tensorflow.proto.distruntime.JobDef
equals(Object) - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters
equals(Object) - Method in class org.tensorflow.proto.distruntime.ServerDef
equals(Object) - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
equals(Object) - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
equals(Object) - Method in class org.tensorflow.proto.example.BytesList
equals(Object) - Method in class org.tensorflow.proto.example.Example
equals(Object) - Method in class org.tensorflow.proto.example.ExampleParserConfiguration
equals(Object) - Method in class org.tensorflow.proto.example.Feature
equals(Object) - Method in class org.tensorflow.proto.example.FeatureConfiguration
equals(Object) - Method in class org.tensorflow.proto.example.FeatureList
equals(Object) - Method in class org.tensorflow.proto.example.FeatureLists
equals(Object) - Method in class org.tensorflow.proto.example.Features
equals(Object) - Method in class org.tensorflow.proto.example.FixedLenFeatureProto
equals(Object) - Method in class org.tensorflow.proto.example.FloatList
equals(Object) - Method in class org.tensorflow.proto.example.Int64List
equals(Object) - Method in class org.tensorflow.proto.example.SequenceExample
equals(Object) - Method in class org.tensorflow.proto.example.VarLenFeatureProto
equals(Object) - Method in class org.tensorflow.proto.framework.AllocationDescription
equals(Object) - Method in class org.tensorflow.proto.framework.AllocationRecord
equals(Object) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
equals(Object) - Method in class org.tensorflow.proto.framework.ApiDef.Arg
equals(Object) - Method in class org.tensorflow.proto.framework.ApiDef.Attr
equals(Object) - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint
equals(Object) - Method in class org.tensorflow.proto.framework.ApiDef
equals(Object) - Method in class org.tensorflow.proto.framework.ApiDefs
equals(Object) - Method in class org.tensorflow.proto.framework.AssetFileDef
equals(Object) - Method in class org.tensorflow.proto.framework.AttrValue
equals(Object) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue
equals(Object) - Method in class org.tensorflow.proto.framework.AutoParallelOptions
equals(Object) - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
equals(Object) - Method in class org.tensorflow.proto.framework.CallableOptions
equals(Object) - Method in class org.tensorflow.proto.framework.CapturedTensor
equals(Object) - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList
equals(Object) - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList
equals(Object) - Method in class org.tensorflow.proto.framework.CollectionDef
equals(Object) - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList
equals(Object) - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List
equals(Object) - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList
equals(Object) - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
equals(Object) - Method in class org.tensorflow.proto.framework.CondContextDef
equals(Object) - Method in class org.tensorflow.proto.framework.ConfigProto
equals(Object) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental
equals(Object) - Method in class org.tensorflow.proto.framework.ControlFlowContextDef
equals(Object) - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
equals(Object) - Method in class org.tensorflow.proto.framework.CostGraphDef
equals(Object) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node
equals(Object) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
equals(Object) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
equals(Object) - Method in class org.tensorflow.proto.framework.DebuggedSourceFile
equals(Object) - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles
equals(Object) - Method in class org.tensorflow.proto.framework.DebugOptions
equals(Object) - Method in class org.tensorflow.proto.framework.DebugTensorWatch
equals(Object) - Method in class org.tensorflow.proto.framework.DeviceAttributes
equals(Object) - Method in class org.tensorflow.proto.framework.DeviceLocality
equals(Object) - Method in class org.tensorflow.proto.framework.DeviceProperties
equals(Object) - Method in class org.tensorflow.proto.framework.DeviceStepStats
equals(Object) - Method in class org.tensorflow.proto.framework.DictValue
equals(Object) - Method in class org.tensorflow.proto.framework.FullTypeDef
equals(Object) - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
equals(Object) - Method in class org.tensorflow.proto.framework.FunctionDef
equals(Object) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary
equals(Object) - Method in class org.tensorflow.proto.framework.FunctionSpec
equals(Object) - Method in class org.tensorflow.proto.framework.GPUOptions
equals(Object) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental
equals(Object) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
equals(Object) - Method in class org.tensorflow.proto.framework.GradientDef
equals(Object) - Method in class org.tensorflow.proto.framework.GraphDebugInfo
equals(Object) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
equals(Object) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
equals(Object) - Method in class org.tensorflow.proto.framework.GraphDef
equals(Object) - Method in class org.tensorflow.proto.framework.GraphOptions
equals(Object) - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
equals(Object) - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
equals(Object) - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
equals(Object) - Method in class org.tensorflow.proto.framework.GraphTransferInfo
equals(Object) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
equals(Object) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput
equals(Object) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
equals(Object) - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
equals(Object) - Method in class org.tensorflow.proto.framework.HistogramProto
equals(Object) - Method in class org.tensorflow.proto.framework.InterconnectLink
equals(Object) - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
equals(Object) - Method in class org.tensorflow.proto.framework.KernelDef
equals(Object) - Method in class org.tensorflow.proto.framework.KernelList
equals(Object) - Method in class org.tensorflow.proto.framework.ListValue
equals(Object) - Method in class org.tensorflow.proto.framework.LocalLinks
equals(Object) - Method in class org.tensorflow.proto.framework.LogNormalDistribution
equals(Object) - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
equals(Object) - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
equals(Object) - Method in class org.tensorflow.proto.framework.MemoryLogStep
equals(Object) - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
equals(Object) - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
equals(Object) - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
equals(Object) - Method in class org.tensorflow.proto.framework.MemoryStats
equals(Object) - Method in class org.tensorflow.proto.framework.MetaGraphDef
equals(Object) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
equals(Object) - Method in class org.tensorflow.proto.framework.NameAttrList
equals(Object) - Method in class org.tensorflow.proto.framework.NamedDevice
equals(Object) - Method in class org.tensorflow.proto.framework.NamedTensorProto
equals(Object) - Method in class org.tensorflow.proto.framework.NamedTupleValue
equals(Object) - Method in class org.tensorflow.proto.framework.NodeDef
equals(Object) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
equals(Object) - Method in class org.tensorflow.proto.framework.NodeExecStats
equals(Object) - Method in class org.tensorflow.proto.framework.NodeOutput
equals(Object) - Method in class org.tensorflow.proto.framework.NoneValue
equals(Object) - Method in class org.tensorflow.proto.framework.NormalDistribution
equals(Object) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef
equals(Object) - Method in class org.tensorflow.proto.framework.OpDef.AttrDef
equals(Object) - Method in class org.tensorflow.proto.framework.OpDef
equals(Object) - Method in class org.tensorflow.proto.framework.OpDeprecation
equals(Object) - Method in class org.tensorflow.proto.framework.OpInfo
equals(Object) - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
equals(Object) - Method in class org.tensorflow.proto.framework.OpList
equals(Object) - Method in class org.tensorflow.proto.framework.OpPerformance
equals(Object) - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
equals(Object) - Method in class org.tensorflow.proto.framework.OpPerformanceList
equals(Object) - Method in class org.tensorflow.proto.framework.OptimizerOptions
equals(Object) - Method in class org.tensorflow.proto.framework.PairValue
equals(Object) - Method in class org.tensorflow.proto.framework.QueueRunnerDef
equals(Object) - Method in class org.tensorflow.proto.framework.ReaderBaseState
equals(Object) - Method in class org.tensorflow.proto.framework.RegisteredGradient
equals(Object) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle
equals(Object) - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
equals(Object) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
equals(Object) - Method in class org.tensorflow.proto.framework.ResourceHandleProto
equals(Object) - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
equals(Object) - Method in class org.tensorflow.proto.framework.RewriterConfig
equals(Object) - Method in class org.tensorflow.proto.framework.RPCOptions
equals(Object) - Method in class org.tensorflow.proto.framework.RunMetadata
equals(Object) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
equals(Object) - Method in class org.tensorflow.proto.framework.RunOptions
equals(Object) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental
equals(Object) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
equals(Object) - Method in class org.tensorflow.proto.framework.SaveableObject
equals(Object) - Method in class org.tensorflow.proto.framework.SavedAsset
equals(Object) - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
equals(Object) - Method in class org.tensorflow.proto.framework.SavedConcreteFunction
equals(Object) - Method in class org.tensorflow.proto.framework.SavedConstant
equals(Object) - Method in class org.tensorflow.proto.framework.SavedFunction
equals(Object) - Method in class org.tensorflow.proto.framework.SavedModel
equals(Object) - Method in class org.tensorflow.proto.framework.SavedObject
equals(Object) - Method in class org.tensorflow.proto.framework.SavedObjectGraph
equals(Object) - Method in class org.tensorflow.proto.framework.SavedResource
equals(Object) - Method in class org.tensorflow.proto.framework.SavedUserObject
equals(Object) - Method in class org.tensorflow.proto.framework.SavedVariable
equals(Object) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef
equals(Object) - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
equals(Object) - Method in class org.tensorflow.proto.framework.SessionInfo
equals(Object) - Method in class org.tensorflow.proto.framework.SessionMetadata
equals(Object) - Method in class org.tensorflow.proto.framework.SignatureDef
equals(Object) - Method in class org.tensorflow.proto.framework.Status.DerivedStatus
equals(Object) - Method in class org.tensorflow.proto.framework.StepStats
equals(Object) - Method in class org.tensorflow.proto.framework.StructuredValue
equals(Object) - Method in class org.tensorflow.proto.framework.Summary.Audio
equals(Object) - Method in class org.tensorflow.proto.framework.Summary
equals(Object) - Method in class org.tensorflow.proto.framework.Summary.Image
equals(Object) - Method in class org.tensorflow.proto.framework.Summary.Value
equals(Object) - Method in class org.tensorflow.proto.framework.SummaryDescription
equals(Object) - Method in class org.tensorflow.proto.framework.SummaryMetadata
equals(Object) - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
equals(Object) - Method in class org.tensorflow.proto.framework.TensorConnection
equals(Object) - Method in class org.tensorflow.proto.framework.TensorDescription
equals(Object) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
equals(Object) - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
equals(Object) - Method in class org.tensorflow.proto.framework.TensorInfo
equals(Object) - Method in class org.tensorflow.proto.framework.TensorProto
equals(Object) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
equals(Object) - Method in class org.tensorflow.proto.framework.TensorShapeProto
equals(Object) - Method in class org.tensorflow.proto.framework.TensorSliceProto
equals(Object) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
equals(Object) - Method in class org.tensorflow.proto.framework.TensorSpecProto
equals(Object) - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
equals(Object) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph
equals(Object) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
equals(Object) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
equals(Object) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
equals(Object) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
equals(Object) - Method in class org.tensorflow.proto.framework.TupleValue
equals(Object) - Method in class org.tensorflow.proto.framework.TypeSpecProto
equals(Object) - Method in class org.tensorflow.proto.framework.ValuesDef
equals(Object) - Method in class org.tensorflow.proto.framework.VariableDef
equals(Object) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto
equals(Object) - Method in class org.tensorflow.proto.framework.VerifierConfig
equals(Object) - Method in class org.tensorflow.proto.framework.VersionDef
equals(Object) - Method in class org.tensorflow.proto.framework.WhileContextDef
equals(Object) - Method in class org.tensorflow.proto.profiler.ProfileOptions
equals(Object) - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
equals(Object) - Method in class org.tensorflow.proto.profiler.XEvent
equals(Object) - Method in class org.tensorflow.proto.profiler.XEventMetadata
equals(Object) - Method in class org.tensorflow.proto.profiler.XLine
equals(Object) - Method in class org.tensorflow.proto.profiler.XPlane
equals(Object) - Method in class org.tensorflow.proto.profiler.XSpace
equals(Object) - Method in class org.tensorflow.proto.profiler.XStat
equals(Object) - Method in class org.tensorflow.proto.profiler.XStatMetadata
equals(Object) - Method in class org.tensorflow.proto.util.BinSummary
equals(Object) - Method in class org.tensorflow.proto.util.BundleEntryProto
equals(Object) - Method in class org.tensorflow.proto.util.BundleHeaderProto
equals(Object) - Method in class org.tensorflow.proto.util.CodeLocation
equals(Object) - Method in class org.tensorflow.proto.util.DebugEvent
equals(Object) - Method in class org.tensorflow.proto.util.DebuggedDevice
equals(Object) - Method in class org.tensorflow.proto.util.DebuggedGraph
equals(Object) - Method in class org.tensorflow.proto.util.DebugMetadata
equals(Object) - Method in class org.tensorflow.proto.util.Event
equals(Object) - Method in class org.tensorflow.proto.util.Execution
equals(Object) - Method in class org.tensorflow.proto.util.GraphExecutionTrace
equals(Object) - Method in class org.tensorflow.proto.util.GraphOpCreation
equals(Object) - Method in class org.tensorflow.proto.util.LogMessage: Deprecated.
equals(Object) - Method in class org.tensorflow.proto.util.MemAllocatorStats
equals(Object) - Method in class org.tensorflow.proto.util.MemChunk
equals(Object) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
equals(Object) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
equals(Object) - Method in class org.tensorflow.proto.util.MemoryDump
equals(Object) - Method in class org.tensorflow.proto.util.RequestedExitCode
equals(Object) - Method in class org.tensorflow.proto.util.SavedSlice
equals(Object) - Method in class org.tensorflow.proto.util.SavedSliceMeta
equals(Object) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta
equals(Object) - Method in class org.tensorflow.proto.util.SavedTensorSlices
equals(Object) - Method in class org.tensorflow.proto.util.SaverDef
equals(Object) - Method in class org.tensorflow.proto.util.SessionLog
equals(Object) - Method in class org.tensorflow.proto.util.SnapShot
equals(Object) - Method in class org.tensorflow.proto.util.SourceFile
equals(Object) - Method in class org.tensorflow.proto.util.StackFrameWithId
equals(Object) - Method in class org.tensorflow.proto.util.TaggedRunMetadata
equals(Object) - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
equals(Object) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
equals(Object) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
equals(Object) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration
equals(Object) - Method in class org.tensorflow.proto.util.testlog.CommitId
equals(Object) - Method in class org.tensorflow.proto.util.testlog.CPUInfo
equals(Object) - Method in class org.tensorflow.proto.util.testlog.EntryValue
equals(Object) - Method in class org.tensorflow.proto.util.testlog.GPUInfo
equals(Object) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration
equals(Object) - Method in class org.tensorflow.proto.util.testlog.MemoryInfo
equals(Object) - Method in class org.tensorflow.proto.util.testlog.MetricEntry
equals(Object) - Method in class org.tensorflow.proto.util.testlog.PlatformInfo
equals(Object) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration
equals(Object) - Method in class org.tensorflow.proto.util.testlog.TestResults
equals(Object) - Method in class org.tensorflow.proto.util.WatchdogConfig
equals(Object) - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
equals(Object) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
equation - Variable in class org.tensorflow.op.linalg.Einsum.Inputs: String describing the Einstein Summation operation; in the format of np.einsum.
equation - Variable in class org.tensorflow.op.xla.Einsum.Inputs: The equation attribute
erase(NameMap.Iterator) - Method in class org.tensorflow.internal.c_api.NameMap
erase(BytePointer) - Method in class org.tensorflow.internal.c_api.NameMap
erase(NativeOutputVector.Iterator) - Method in class org.tensorflow.internal.c_api.NativeOutputVector
Erf<T extends TNumber> - Class in org.tensorflow.op.math: Computes the Gauss error function of x element-wise.
Erf(Operation) - Constructor for class org.tensorflow.op.math.Erf
erf(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes the Gauss error function of x element-wise.
Erf.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
Erfc<T extends TNumber> - Class in org.tensorflow.op.math: Computes the complementary error function of x element-wise.
Erfc(Operation) - Constructor for class org.tensorflow.op.math.Erfc
erfc(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes the complementary error function of x element-wise.
Erfc.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
erfinv<T extends TNumber> - Class in org.tensorflow.op.math: The Erfinv operation
erfinv(Operation) - Constructor for class org.tensorflow.op.math.erfinv
erfinv(Operand<T>) - Method in class org.tensorflow.op.MathOps: The Erfinv operation
erfinv.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
error_message() - Method in class org.tensorflow.internal.c_api.NativeStatus
ERROR_VALUE - Static variable in enum org.tensorflow.proto.util.LogMessage.Level: Deprecated.

ERROR = 40;
ErrorCodes - Class in org.tensorflow.proto.framework
ErrorCodesProtos - Class in org.tensorflow.proto.framework
errorMsg(String) - Static method in class org.tensorflow.op.core.Abort: Sets the errorMsg option.
errorMsg - Variable in class org.tensorflow.op.core.Abort.Inputs: A string which is the message associated with the exception.
errorMsg(String) - Method in class org.tensorflow.op.core.Abort.Options: Sets the errorMsg option.
errors(String) - Static method in class org.tensorflow.op.strings.UnicodeDecode: Sets the errors option.
errors - Variable in class org.tensorflow.op.strings.UnicodeDecode.Inputs: Error handling policy when there is invalid formatting found in the input.
errors(String) - Method in class org.tensorflow.op.strings.UnicodeDecode.Options: Sets the errors option.
errors(String) - Static method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets: Sets the errors option.
errors - Variable in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Inputs: Error handling policy when there is invalid formatting found in the input.
errors(String) - Method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Options: Sets the errors option.
errors(String) - Static method in class org.tensorflow.op.strings.UnicodeEncode: Sets the errors option.
errors - Variable in class org.tensorflow.op.strings.UnicodeEncode.Inputs: Error handling policy when there is invalid formatting found in the input.
errors(String) - Method in class org.tensorflow.op.strings.UnicodeEncode.Options: Sets the errors option.
errors(String) - Static method in class org.tensorflow.op.strings.UnicodeTranscode: Sets the errors option.
errors - Variable in class org.tensorflow.op.strings.UnicodeTranscode.Inputs: Error handling policy when there is invalid formatting found in the input.
errors(String) - Method in class org.tensorflow.op.strings.UnicodeTranscode.Options: Sets the errors option.
ERRORS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XSpace
EuclideanNorm<T extends TType> - Class in org.tensorflow.op.linalg: Computes the euclidean norm of elements across dimensions of a tensor.
EuclideanNorm(Operation) - Constructor for class org.tensorflow.op.linalg.EuclideanNorm
euclideanNorm(Operand<T>, Operand<? extends TNumber>, EuclideanNorm.Options...) - Method in class org.tensorflow.op.LinalgOps: Computes the euclidean norm of elements across dimensions of a tensor.
EuclideanNorm.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
EuclideanNorm.Options - Class in org.tensorflow.op.linalg: Optional attributes for EuclideanNorm
event - Variable in class org.tensorflow.op.summary.ImportEvent.Inputs: The event input
Event - Class in org.tensorflow.proto.util: Protocol buffer representing an event that happened during the execution of a Brain model.
Event.Builder - Class in org.tensorflow.proto.util: Protocol buffer representing an event that happened during the execution of a Brain model.
Event.WhatCase - Enum in org.tensorflow.proto.util
EVENT_METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XPlane
EventOrBuilder - Interface in org.tensorflow.proto.util
EventProtos - Class in org.tensorflow.proto.util
EVENTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XLine
Example - Class in org.tensorflow.proto.example: Protobuf type tensorflow.Example
Example.Builder - Class in org.tensorflow.proto.example: Protobuf type tensorflow.Example
exampleLabels - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a vector which contains the label/target associated with each example.
ExampleOrBuilder - Interface in org.tensorflow.proto.example
ExampleParserConfiguration - Class in org.tensorflow.proto.example: Protobuf type tensorflow.ExampleParserConfiguration
ExampleParserConfiguration.Builder - Class in org.tensorflow.proto.example: Protobuf type tensorflow.ExampleParserConfiguration
ExampleParserConfigurationOrBuilder - Interface in org.tensorflow.proto.example
ExampleParserConfigurationProtos - Class in org.tensorflow.proto.example
ExampleProtos - Class in org.tensorflow.proto.example
examples() - Method in class org.tensorflow.op.core.Skipgram: Gets examples.
examples - Variable in class org.tensorflow.op.train.NegTrain.Inputs: A vector of word ids.
examplesDebugOutputsSerialized() - Method in class org.tensorflow.op.estimator.BoostedTreesExampleDebugOutputs: Gets examplesDebugOutputsSerialized.
exampleStateData - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a list of vectors containing the example state data.
exampleWeights - Variable in class org.tensorflow.op.estimator.BoostedTreesMakeQuantileSummaries.Inputs: float; Rank 1 Tensor with weights per instance.
exampleWeights - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a vector which contains the weight associated with each example.
excludeCols - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The excludeCols input
exclusive(Boolean) - Static method in class org.tensorflow.op.math.Cumprod: Sets the exclusive option.
exclusive - Variable in class org.tensorflow.op.math.Cumprod.Inputs: If `True`, perform exclusive cumprod.
exclusive(Boolean) - Method in class org.tensorflow.op.math.Cumprod.Options: Sets the exclusive option.
exclusive(Boolean) - Static method in class org.tensorflow.op.math.Cumsum: Sets the exclusive option.
exclusive - Variable in class org.tensorflow.op.math.Cumsum.Inputs: If `True`, perform exclusive cumsum.
exclusive(Boolean) - Method in class org.tensorflow.op.math.Cumsum.Options: Sets the exclusive option.
exclusive(Boolean) - Static method in class org.tensorflow.op.math.CumulativeLogsumexp: Sets the exclusive option.
exclusive - Variable in class org.tensorflow.op.math.CumulativeLogsumexp.Inputs: If `True`, perform exclusive cumulative log-sum-exp.
exclusive(Boolean) - Method in class org.tensorflow.op.math.CumulativeLogsumexp.Options: Sets the exclusive option.
Execute - Class in org.tensorflow.op.tpu: Op that loads and executes a TPU program on a TPU device.
Execute(Operation) - Constructor for class org.tensorflow.op.tpu.Execute
execute(Iterable<Operand<?>>, Operand<TString>, List<Class<? extends TType>>) - Method in class org.tensorflow.op.TpuOps: Op that loads and executes a TPU program on a TPU device.
Execute.Inputs - Class in org.tensorflow.op.tpu
ExecuteAndUpdateVariables - Class in org.tensorflow.op.tpu: Op that executes a program with optional in-place variable updates.
ExecuteAndUpdateVariables(Operation) - Constructor for class org.tensorflow.op.tpu.ExecuteAndUpdateVariables
executeAndUpdateVariables(Iterable<Operand<?>>, Operand<TString>, List<Class<? extends TType>>, List<Long>, List<Long>) - Method in class org.tensorflow.op.TpuOps: Op that executes a program with optional in-place variable updates.
ExecuteAndUpdateVariables.Inputs - Class in org.tensorflow.op.tpu
Execution - Class in org.tensorflow.proto.util: Data relating to the eager execution of an op or a Graph.
Execution.Builder - Class in org.tensorflow.proto.util: Data relating to the eager execution of an op or a Graph.
EXECUTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.DebugEvent
EXECUTION_TIME_LOG_NORMAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpPerformance
EXECUTION_TIME_NORMAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpPerformance
ExecutionEnvironment - Interface in org.tensorflow: Defines an environment for creating and executing TensorFlow Operations.
ExecutionEnvironment.Types - Enum in org.tensorflow
ExecutionOrBuilder - Interface in org.tensorflow.proto.util
EXECUTOR_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto.Experimental
executorType(String) - Static method in interface org.tensorflow.op.core.PartitionedCall: Sets the executorType option.
executorType(String) - Method in class org.tensorflow.op.core.PartitionedCall.Options: Sets the executorType option.
executorType - Variable in class org.tensorflow.op.core.StatefulPartitionedCall.Inputs: The executorType attribute
executorType - Variable in class org.tensorflow.op.core.StatelessPartitionedCall.Inputs: The executorType attribute
Exit<T extends TType> - Class in org.tensorflow.op.core: Exits the current frame to its parent frame.
Exit(Operation) - Constructor for class org.tensorflow.op.core.Exit
Exit.Inputs<T extends TType> - Class in org.tensorflow.op.core
EXIT_CODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.RequestedExitCode
EXIT_CODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.WorkerHeartbeatRequest
ExitOnError() - Method in class org.tensorflow.internal.c_api.TF_Scope: Return a new scope.
exitWithoutError(Boolean) - Static method in class org.tensorflow.op.core.Abort: Sets the exitWithoutError option.
exitWithoutError - Variable in class org.tensorflow.op.core.Abort.Inputs: The exitWithoutError attribute
exitWithoutError(Boolean) - Method in class org.tensorflow.op.core.Abort.Options: Sets the exitWithoutError option.
Exp<T extends TType> - Class in org.tensorflow.op.math: Computes exponential of x element-wise.
Exp(Operation) - Constructor for class org.tensorflow.op.math.Exp
exp(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes exponential of x element-wise.
Exp.Inputs<T extends TType> - Class in org.tensorflow.op.math
expandAnimations(Boolean) - Static method in class org.tensorflow.op.image.DecodeImage: Sets the expandAnimations option.
expandAnimations - Variable in class org.tensorflow.op.image.DecodeImage.Inputs: Controls the output shape of the returned op.
expandAnimations(Boolean) - Method in class org.tensorflow.op.image.DecodeImage.Options: Sets the expandAnimations option.
ExpandDims<T extends TType> - Class in org.tensorflow.op.core: Inserts a dimension of 1 into a tensor's shape.
ExpandDims(Operation) - Constructor for class org.tensorflow.op.core.ExpandDims
expandDims(Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.Ops: Inserts a dimension of 1 into a tensor's shape.
ExpandDims.Inputs<T extends TType> - Class in org.tensorflow.op.core
expect(Class) - Method in class org.tensorflow.Output: Returns this Output object with the type Output.
EXPERIMENTAL_DEBUG_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NodeDef
EXPERIMENTAL_DISABLE_COMPRESSED_TENSOR_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
EXPERIMENTAL_DISABLE_FOLDING_QUANTIZATION_EMULATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
EXPERIMENTAL_DISTRIBUTED_VARIABLE_COMPONENTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedVariable
EXPERIMENTAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto
EXPERIMENTAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GPUOptions
EXPERIMENTAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RunOptions
EXPERIMENTAL_FULL_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef.ArgDef
EXPERIMENTAL_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NodeDef
experimentName - Variable in class org.tensorflow.op.summary.CreateSummaryDbWriter.Inputs: The experimentName input
Expint<T extends TNumber> - Class in org.tensorflow.op.math.special: The Expint operation
Expint(Operation) - Constructor for class org.tensorflow.op.math.special.Expint
Expint.Inputs<T extends TNumber> - Class in org.tensorflow.op.math.special
EXPLANATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDeprecation
explicitPaddings(List<Long>) - Static method in class org.tensorflow.op.nn.Conv2d: Sets the explicitPaddings option.
explicitPaddings(Long...) - Static method in class org.tensorflow.op.nn.Conv2d: Sets the explicitPaddings option.
explicitPaddings - Variable in class org.tensorflow.op.nn.Conv2d.Inputs: If `padding` is `"EXPLICIT"`, the list of explicit padding amounts.
explicitPaddings(List<Long>) - Method in class org.tensorflow.op.nn.Conv2d.Options: Sets the explicitPaddings option.
explicitPaddings(Long...) - Method in class org.tensorflow.op.nn.Conv2d.Options: Sets the explicitPaddings option.
explicitPaddings(List<Long>) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilter: Sets the explicitPaddings option.
explicitPaddings(Long...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilter: Sets the explicitPaddings option.
explicitPaddings - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: If `padding` is `"EXPLICIT"`, the list of explicit padding amounts.
explicitPaddings(List<Long>) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter.Options: Sets the explicitPaddings option.
explicitPaddings(Long...) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter.Options: Sets the explicitPaddings option.
explicitPaddings(List<Long>) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInput: Sets the explicitPaddings option.
explicitPaddings(Long...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInput: Sets the explicitPaddings option.
explicitPaddings - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: If `padding` is `"EXPLICIT"`, the list of explicit padding amounts.
explicitPaddings(List<Long>) - Method in class org.tensorflow.op.nn.Conv2dBackpropInput.Options: Sets the explicitPaddings option.
explicitPaddings(Long...) - Method in class org.tensorflow.op.nn.Conv2dBackpropInput.Options: Sets the explicitPaddings option.
explicitPaddings(List<Long>) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNative: Sets the explicitPaddings option.
explicitPaddings(Long...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNative: Sets the explicitPaddings option.
explicitPaddings - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNative.Inputs: The explicitPaddings attribute
explicitPaddings(List<Long>) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNative.Options: Sets the explicitPaddings option.
explicitPaddings(Long...) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNative.Options: Sets the explicitPaddings option.
explicitPaddings(List<Long>) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter: Sets the explicitPaddings option.
explicitPaddings(Long...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter: Sets the explicitPaddings option.
explicitPaddings - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs: The explicitPaddings attribute
explicitPaddings(List<Long>) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Options: Sets the explicitPaddings option.
explicitPaddings(Long...) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Options: Sets the explicitPaddings option.
explicitPaddings(List<Long>) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput: Sets the explicitPaddings option.
explicitPaddings(Long...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput: Sets the explicitPaddings option.
explicitPaddings - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs: The explicitPaddings attribute
explicitPaddings(List<Long>) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Options: Sets the explicitPaddings option.
explicitPaddings(Long...) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Options: Sets the explicitPaddings option.
Expm1<T extends TType> - Class in org.tensorflow.op.math: Computes exp(x) - 1 element-wise.
Expm1(Operation) - Constructor for class org.tensorflow.op.math.Expm1
expm1(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes exp(x) - 1 element-wise.
Expm1.Inputs<T extends TType> - Class in org.tensorflow.op.math
exponentialAvgFactor(Float) - Static method in class org.tensorflow.op.nn.FusedBatchNorm: Sets the exponentialAvgFactor option.
exponentialAvgFactor - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: The exponentialAvgFactor attribute
exponentialAvgFactor(Float) - Method in class org.tensorflow.op.nn.FusedBatchNorm.Options: Sets the exponentialAvgFactor option.
export() - Method in class org.tensorflow.SavedModelBundle.Exporter: Save the model into the export directory.
exporter(String) - Static method in class org.tensorflow.SavedModelBundle: Export a saved model.
EXTENSION_TYPE_SPEC_VALUE - Static variable in enum org.tensorflow.proto.framework.TypeSpecProto.TypeSpecClass: Subclasses of tf.ExtensionType
EXTENT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorSliceProto
EXTERNAL_STATE_POLICY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.Options
EXTERNAL_VALUES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ValuesDef
externalStatePolicy(Long) - Static method in class org.tensorflow.op.data.DatasetToGraph: Sets the externalStatePolicy option.
externalStatePolicy - Variable in class org.tensorflow.op.data.DatasetToGraph.Inputs: The externalStatePolicy attribute
externalStatePolicy(Long) - Method in class org.tensorflow.op.data.DatasetToGraph.Options: Sets the externalStatePolicy option.
externalStatePolicy - Variable in class org.tensorflow.op.data.RegisterDataset.Inputs: The externalStatePolicy attribute
externalStatePolicy(Long) - Static method in class org.tensorflow.op.data.SerializeIterator: Sets the externalStatePolicy option.
externalStatePolicy - Variable in class org.tensorflow.op.data.SerializeIterator.Inputs: The externalStatePolicy attribute
externalStatePolicy(Long) - Method in class org.tensorflow.op.data.SerializeIterator.Options: Sets the externalStatePolicy option.
ExternalStatePolicy - Enum in org.tensorflow.proto.data: Represents how to handle external state during serialization.
ExtractGlimpse - Class in org.tensorflow.op.image: Extracts a glimpse from the input tensor.
ExtractGlimpse(Operation) - Constructor for class org.tensorflow.op.image.ExtractGlimpse
ExtractGlimpse.Inputs - Class in org.tensorflow.op.image
ExtractGlimpse.Options - Class in org.tensorflow.op.image: Optional attributes for ExtractGlimpse
ExtractImagePatches<T extends TType> - Class in org.tensorflow.op.image: Extract patches from images and put them in the "depth" output dimension.
ExtractImagePatches(Operation) - Constructor for class org.tensorflow.op.image.ExtractImagePatches
extractImagePatches(Operand<T>, List<Long>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.ImageOps: Extract patches from images and put them in the "depth" output dimension.
ExtractImagePatches.Inputs<T extends TType> - Class in org.tensorflow.op.image
ExtractJpegShape<T extends TNumber> - Class in org.tensorflow.op.image: Extract the shape information of a JPEG-encoded image.
ExtractJpegShape(Operation) - Constructor for class org.tensorflow.op.image.ExtractJpegShape
extractJpegShape(Operand<TString>) - Method in class org.tensorflow.op.ImageOps: Extract the shape information of a JPEG-encoded image.
extractJpegShape(Operand<TString>, Class<T>) - Method in class org.tensorflow.op.ImageOps: Extract the shape information of a JPEG-encoded image.
ExtractJpegShape.Inputs - Class in org.tensorflow.op.image
ExtractVolumePatches<T extends TNumber> - Class in org.tensorflow.op.core: Extract patches from input and put them in the "depth" output dimension.
ExtractVolumePatches(Operation) - Constructor for class org.tensorflow.op.core.ExtractVolumePatches
extractVolumePatches(Operand<T>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.Ops: Extract patches from input and put them in the "depth" output dimension.
ExtractVolumePatches.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
extrapolationValue(Float) - Static method in class org.tensorflow.op.image.CropAndResize: Sets the extrapolationValue option.
extrapolationValue - Variable in class org.tensorflow.op.image.CropAndResize.Inputs: Value used for extrapolation, when applicable.
extrapolationValue(Float) - Method in class org.tensorflow.op.image.CropAndResize.Options: Sets the extrapolationValue option.
EXTRAS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.BenchmarkEntry

F

f() - Method in class org.tensorflow.op.nn.BlockLSTM: Gets f.
f - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The forget gate over the whole time sequence.
f() - Method in class org.tensorflow.op.nn.LSTMBlockCell: Gets f.
f - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The forget gate.
F_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AttrValue
F_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AttrValue.ListValue
Fact - Class in org.tensorflow.op.math: Output a fact about factorials.
Fact(Operation) - Constructor for class org.tensorflow.op.math.Fact
fact() - Method in class org.tensorflow.op.math.Fact: Gets fact.
fact() - Method in class org.tensorflow.op.MathOps: Output a fact about factorials.
Fact.Inputs - Class in org.tensorflow.op.math
FAIL_ON_OPTIMIZER_ERRORS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
FAILED_PRECONDITION_VALUE - Static variable in enum org.tensorflow.proto.framework.Code: Operation was rejected because the system is not in a state required for the operation's execution.
fakeDtypes - Variable in class org.tensorflow.op.core.MapStage.Inputs: The fakeDtypes attribute
fakeDtypes - Variable in class org.tensorflow.op.core.OrderedMapStage.Inputs: The fakeDtypes attribute
FakeQuantWithMinMaxArgs - Class in org.tensorflow.op.quantization: Fake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same type.
FakeQuantWithMinMaxArgs(Operation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs
fakeQuantWithMinMaxArgs(Operand<TFloat32>, FakeQuantWithMinMaxArgs.Options...) - Method in class org.tensorflow.op.QuantizationOps: Fake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same type.
FakeQuantWithMinMaxArgs.Inputs - Class in org.tensorflow.op.quantization
FakeQuantWithMinMaxArgs.Options - Class in org.tensorflow.op.quantization: Optional attributes for FakeQuantWithMinMaxArgs
FakeQuantWithMinMaxArgsGradient - Class in org.tensorflow.op.quantization: Compute gradients for a FakeQuantWithMinMaxArgs operation.
FakeQuantWithMinMaxArgsGradient(Operation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient
fakeQuantWithMinMaxArgsGradient(Operand<TFloat32>, Operand<TFloat32>, FakeQuantWithMinMaxArgsGradient.Options...) - Method in class org.tensorflow.op.QuantizationOps: Compute gradients for a FakeQuantWithMinMaxArgs operation.
FakeQuantWithMinMaxArgsGradient.Inputs - Class in org.tensorflow.op.quantization
FakeQuantWithMinMaxArgsGradient.Options - Class in org.tensorflow.op.quantization: Optional attributes for FakeQuantWithMinMaxArgsGradient
FakeQuantWithMinMaxVars - Class in org.tensorflow.op.quantization: Fake-quantize the 'inputs' tensor of type float via global float scalars Fake-quantize the inputs tensor of type float via global float scalars min and max to outputs tensor of same shape as inputs.
FakeQuantWithMinMaxVars(Operation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars
fakeQuantWithMinMaxVars(Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, FakeQuantWithMinMaxVars.Options...) - Method in class org.tensorflow.op.QuantizationOps: Fake-quantize the 'inputs' tensor of type float via global float scalars Fake-quantize the inputs tensor of type float via global float scalars min and max to outputs tensor of same shape as inputs.
FakeQuantWithMinMaxVars.Inputs - Class in org.tensorflow.op.quantization
FakeQuantWithMinMaxVars.Options - Class in org.tensorflow.op.quantization: Optional attributes for FakeQuantWithMinMaxVars
FakeQuantWithMinMaxVarsGradient - Class in org.tensorflow.op.quantization: Compute gradients for a FakeQuantWithMinMaxVars operation.
FakeQuantWithMinMaxVarsGradient(Operation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient
fakeQuantWithMinMaxVarsGradient(Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, FakeQuantWithMinMaxVarsGradient.Options...) - Method in class org.tensorflow.op.QuantizationOps: Compute gradients for a FakeQuantWithMinMaxVars operation.
FakeQuantWithMinMaxVarsGradient.Inputs - Class in org.tensorflow.op.quantization
FakeQuantWithMinMaxVarsGradient.Options - Class in org.tensorflow.op.quantization: Optional attributes for FakeQuantWithMinMaxVarsGradient
FakeQuantWithMinMaxVarsPerChannel - Class in org.tensorflow.op.quantization: Fake-quantize the 'inputs' tensor of type float via per-channel floats Fake-quantize the inputs tensor of type float per-channel and one of the shapes: [d], [b, d] [b, h, w, d] via per-channel floats min and max of shape [d] to outputs tensor of same shape as inputs.
FakeQuantWithMinMaxVarsPerChannel(Operation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel
fakeQuantWithMinMaxVarsPerChannel(Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, FakeQuantWithMinMaxVarsPerChannel.Options...) - Method in class org.tensorflow.op.QuantizationOps: Fake-quantize the 'inputs' tensor of type float via per-channel floats Fake-quantize the inputs tensor of type float per-channel and one of the shapes: [d], [b, d] [b, h, w, d] via per-channel floats min and max of shape [d] to outputs tensor of same shape as inputs.
FakeQuantWithMinMaxVarsPerChannel.Inputs - Class in org.tensorflow.op.quantization
FakeQuantWithMinMaxVarsPerChannel.Options - Class in org.tensorflow.op.quantization: Optional attributes for FakeQuantWithMinMaxVarsPerChannel
FakeQuantWithMinMaxVarsPerChannelGradient - Class in org.tensorflow.op.quantization: Compute gradients for a FakeQuantWithMinMaxVarsPerChannel operation.
FakeQuantWithMinMaxVarsPerChannelGradient(Operation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient
fakeQuantWithMinMaxVarsPerChannelGradient(Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, FakeQuantWithMinMaxVarsPerChannelGradient.Options...) - Method in class org.tensorflow.op.QuantizationOps: Compute gradients for a FakeQuantWithMinMaxVarsPerChannel operation.
FakeQuantWithMinMaxVarsPerChannelGradient.Inputs - Class in org.tensorflow.op.quantization
FakeQuantWithMinMaxVarsPerChannelGradient.Options - Class in org.tensorflow.op.quantization: Optional attributes for FakeQuantWithMinMaxVarsPerChannelGradient
fancyUpscaling(Boolean) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg: Sets the fancyUpscaling option.
fancyUpscaling - Variable in class org.tensorflow.op.image.DecodeAndCropJpeg.Inputs: If true use a slower but nicer upscaling of the chroma planes (yuv420/422 only).
fancyUpscaling(Boolean) - Method in class org.tensorflow.op.image.DecodeAndCropJpeg.Options: Sets the fancyUpscaling option.
fancyUpscaling(Boolean) - Static method in class org.tensorflow.op.image.DecodeJpeg: Sets the fancyUpscaling option.
fancyUpscaling - Variable in class org.tensorflow.op.image.DecodeJpeg.Inputs: If true use a slower but nicer upscaling of the chroma planes (yuv420/422 only).
fancyUpscaling(Boolean) - Method in class org.tensorflow.op.image.DecodeJpeg.Options: Sets the fancyUpscaling option.
fast(Boolean) - Static method in class org.tensorflow.op.linalg.BatchMatrixSolveLs: Sets the fast option.
fast - Variable in class org.tensorflow.op.linalg.BatchMatrixSolveLs.Inputs: The fast attribute
fast(Boolean) - Method in class org.tensorflow.op.linalg.BatchMatrixSolveLs.Options: Sets the fast option.
fast(Boolean) - Static method in class org.tensorflow.op.linalg.MatrixSolveLs: Sets the fast option.
fast - Variable in class org.tensorflow.op.linalg.MatrixSolveLs.Inputs: The fast attribute
fast(Boolean) - Method in class org.tensorflow.op.linalg.MatrixSolveLs.Options: Sets the fast option.
FATAL_VALUE - Static variable in enum org.tensorflow.proto.util.LogMessage.Level: Deprecated.

FATAL = 50;
FAULT_TOLERANT_MODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
feature - Variable in class org.tensorflow.op.estimator.BoostedTreesAggregateStats.Inputs: int32; Rank 2 feature Tensors (shape=[batch_size, feature_dimension]).
Feature - Class in org.tensorflow.proto.example: Containers for non-sequential data.
Feature.Builder - Class in org.tensorflow.proto.example: Containers for non-sequential data.
Feature.KindCase - Enum in org.tensorflow.proto.example
FEATURE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.example.FeatureList
FEATURE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.example.Features
FEATURE_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.example.FeatureLists
FEATURE_LISTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.example.SequenceExample
FEATURE_MAP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.example.ExampleParserConfiguration
FeatureConfiguration - Class in org.tensorflow.proto.example: Protobuf type tensorflow.FeatureConfiguration
FeatureConfiguration.Builder - Class in org.tensorflow.proto.example: Protobuf type tensorflow.FeatureConfiguration
FeatureConfiguration.ConfigCase - Enum in org.tensorflow.proto.example
FeatureConfigurationOrBuilder - Interface in org.tensorflow.proto.example
featureDimensions() - Method in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplit: Gets featureDimensions.
featureDimensions() - Method in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplitV2: Gets featureDimensions.
featureDimensions() - Method in class org.tensorflow.op.estimator.BoostedTreesSparseCalculateBestFeatureSplit: Gets featureDimensions.
featureGroupCount - Variable in class org.tensorflow.op.xla.Conv.Inputs: number of feature groups for grouped convolution.
featureIds() - Method in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplitV2: Gets featureIds.
featureIds - Variable in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsemble.Inputs: Rank 1 tensor with ids for each feature.
featureIds - Variable in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsembleV2.Inputs: Rank 1 tensor with ids for each feature.
featureIndices - Variable in class org.tensorflow.op.estimator.BoostedTreesSparseAggregateStats.Inputs: int32; Rank 2 indices of feature sparse Tensors (shape=[number of sparse entries, 2]).
FeatureList - Class in org.tensorflow.proto.example: Containers for sequential data.
FeatureList.Builder - Class in org.tensorflow.proto.example: Containers for sequential data.
featureListDenseKeys - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: The keys expected in the SequenceExamples' feature_lists associated with lists of dense values.
featureListDenseKeys - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A list of Nfeature_list_dense string Tensors (scalars).
featureListDenseLengths() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets featureListDenseLengths.
featureListDenseMissingAssumedEmpty - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: A vector corresponding 1:1 with feature_list_dense_keys, indicating which features may be missing from the SequenceExamples.
featureListDenseMissingAssumedEmpty - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A vector listing the FeatureList keys which may be missing from the SequenceExample.
featureListDenseShapes(List<Shape>) - Static method in class org.tensorflow.op.io.ParseSequenceExample: Sets the featureListDenseShapes option.
featureListDenseShapes(Shape...) - Static method in class org.tensorflow.op.io.ParseSequenceExample: Sets the featureListDenseShapes option.
featureListDenseShapes - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: A list of Nfeature_list_dense shapes; the shapes of data in each FeatureList given in feature_list_dense_keys.
featureListDenseShapes(List<Shape>) - Method in class org.tensorflow.op.io.ParseSequenceExample.Options: Sets the featureListDenseShapes option.
featureListDenseShapes(Shape...) - Method in class org.tensorflow.op.io.ParseSequenceExample.Options: Sets the featureListDenseShapes option.
featureListDenseShapes(List<Shape>) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample: Sets the featureListDenseShapes option.
featureListDenseShapes(Shape...) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample: Sets the featureListDenseShapes option.
featureListDenseShapes - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A list of Nfeature_list_dense shapes; the shapes of data in each FeatureList given in feature_list_dense_keys.
featureListDenseShapes(List<Shape>) - Method in class org.tensorflow.op.io.ParseSingleSequenceExample.Options: Sets the featureListDenseShapes option.
featureListDenseShapes(Shape...) - Method in class org.tensorflow.op.io.ParseSingleSequenceExample.Options: Sets the featureListDenseShapes option.
featureListDenseTypes - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: The featureListDenseTypes attribute
featureListDenseTypes - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: The featureListDenseTypes attribute
featureListDenseValues() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets featureListDenseValues.
featureListDenseValues() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample: Gets featureListDenseValues.
FeatureListOrBuilder - Interface in org.tensorflow.proto.example
featureListRaggedInnerSplits() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets featureListRaggedInnerSplits.
featureListRaggedKeys - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: The keys expected in the FeatureLists associated with ragged values.
featureListRaggedOuterSplits() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets featureListRaggedOuterSplits.
featureListRaggedSplitTypes - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: RaggedTensor.row_split dtypes for the ragged FeatureList features.
featureListRaggedValues() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets featureListRaggedValues.
featureListRaggedValueTypes - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: RaggedTensor.value dtypes for the ragged FeatureList features.
FeatureLists - Class in org.tensorflow.proto.example: Protobuf type tensorflow.FeatureLists
FeatureLists.Builder - Class in org.tensorflow.proto.example: Protobuf type tensorflow.FeatureLists
FeatureListsOrBuilder - Interface in org.tensorflow.proto.example
featureListSparseIndices() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets featureListSparseIndices.
featureListSparseIndices() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample: Gets featureListSparseIndices.
featureListSparseKeys - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: The keys expected in the FeatureLists associated with sparse values.
featureListSparseKeys - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A list of Nfeature_list_sparse string Tensors (scalars).
featureListSparseShapes() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets featureListSparseShapes.
featureListSparseShapes() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample: Gets featureListSparseShapes.
featureListSparseTypes - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: A list of Nfeature_list_sparse types; the data types of data in each FeatureList given in feature_list_sparse_keys.
featureListSparseTypes - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A list of Nfeature_list_sparse types; the data types of data in each FeatureList given in feature_list_sparse_keys.
featureListSparseValues() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets featureListSparseValues.
featureListSparseValues() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample: Gets featureListSparseValues.
FeatureOrBuilder - Interface in org.tensorflow.proto.example
FeatureProtos - Class in org.tensorflow.proto.example
features - Variable in class org.tensorflow.op.data.LeakyReluGrad.Inputs: The features passed as input to the corresponding LeakyRelu operation, OR the outputs of that operation (both work equivalently).
features - Variable in class org.tensorflow.op.math.Softplus.Inputs: The features input
features - Variable in class org.tensorflow.op.math.SoftplusGrad.Inputs: The features passed as input to the corresponding softplus operation.
features - Variable in class org.tensorflow.op.nn.Elu.Inputs: The features input
features - Variable in class org.tensorflow.op.nn.LeakyRelu.Inputs: The features input
features - Variable in class org.tensorflow.op.nn.QuantizedRelu.Inputs: The features input
features - Variable in class org.tensorflow.op.nn.QuantizedRelu6.Inputs: The features input
features - Variable in class org.tensorflow.op.nn.QuantizedReluX.Inputs: The features input
features - Variable in class org.tensorflow.op.nn.Relu.Inputs: The features input
features - Variable in class org.tensorflow.op.nn.Relu6.Inputs: The features input
features - Variable in class org.tensorflow.op.nn.Relu6Grad.Inputs: The features passed as input to the corresponding Relu6 operation, or its output; using either one produces the same result.
features - Variable in class org.tensorflow.op.nn.ReluGrad.Inputs: The features passed as input to the corresponding Relu operation, OR the outputs of that operation (both work equivalently).
features - Variable in class org.tensorflow.op.nn.Selu.Inputs: The features input
features - Variable in class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits.Inputs: batch_size x num_classes matrix
features - Variable in class org.tensorflow.op.nn.Softsign.Inputs: The features input
features - Variable in class org.tensorflow.op.nn.SoftsignGrad.Inputs: The features passed as input to the corresponding softsign operation.
features - Variable in class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits.Inputs: batch_size x num_classes matrix
Features - Class in org.tensorflow.proto.example: Protobuf type tensorflow.Features
Features.Builder - Class in org.tensorflow.proto.example: Protobuf type tensorflow.Features
FEATURES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.example.Example
featureShape - Variable in class org.tensorflow.op.estimator.BoostedTreesSparseAggregateStats.Inputs: int32; Rank 1 dense shape of feature sparse Tensors (shape=[2]).
FeaturesOrBuilder - Interface in org.tensorflow.proto.example
featureValues - Variable in class org.tensorflow.op.estimator.BoostedTreesSparseAggregateStats.Inputs: int32; Rank 1 values of feature sparse Tensors (shape=[number of sparse entries]).
feed(String, Tensor) - Method in class org.tensorflow.Session.Runner: Avoid evaluating operation and substitute t for the value it produces.
feed(String, int, Tensor) - Method in class org.tensorflow.Session.Runner: Avoid evaluating the index-th output of operation by substituting t for the value it produces.
feed(Operand<?>, Tensor) - Method in class org.tensorflow.Session.Runner: Use t instead of the Tensor referred to by executing the operation referred to by operand.
FEED_DEVICES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CallableOptions
FEED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CallableOptions
fetch(String) - Method in class org.tensorflow.Session.Runner: Make Session.Runner.run() return the output of operation.
fetch(String, int) - Method in class org.tensorflow.Session.Runner: Make Session.Runner.run() return the index-th output of operation.
fetch(Output<?>) - Method in class org.tensorflow.Session.Runner: Makes Session.Runner.run() return the Tensor referred to by output.
fetch(Operand<?>) - Method in class org.tensorflow.Session.Runner: Makes Session.Runner.run() return the Tensor referred to by the output of operand.
FETCH_DEVICES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CallableOptions
FETCH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CallableOptions
FETCH_SKIP_SYNC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CallableOptions
Fft<T extends TType> - Class in org.tensorflow.op.signal: Fast Fourier transform.
Fft(Operation) - Constructor for class org.tensorflow.op.signal.Fft
fft(Operand<T>) - Method in class org.tensorflow.op.SignalOps: Fast Fourier transform.
Fft.Inputs<T extends TType> - Class in org.tensorflow.op.signal
Fft2d<T extends TType> - Class in org.tensorflow.op.signal: 2D fast Fourier transform.
Fft2d(Operation) - Constructor for class org.tensorflow.op.signal.Fft2d
fft2d(Operand<T>) - Method in class org.tensorflow.op.SignalOps: 2D fast Fourier transform.
Fft2d.Inputs<T extends TType> - Class in org.tensorflow.op.signal
Fft3d<T extends TType> - Class in org.tensorflow.op.signal: 3D fast Fourier transform.
Fft3d(Operation) - Constructor for class org.tensorflow.op.signal.Fft3d
fft3d(Operand<T>) - Method in class org.tensorflow.op.SignalOps: 3D fast Fourier transform.
Fft3d.Inputs<T extends TType> - Class in org.tensorflow.op.signal
fftLength - Variable in class org.tensorflow.op.signal.Irfft.Inputs: An int32 tensor of shape [1].
fftLength - Variable in class org.tensorflow.op.signal.Irfft2d.Inputs: An int32 tensor of shape [2].
fftLength - Variable in class org.tensorflow.op.signal.Irfft3d.Inputs: An int32 tensor of shape [3].
fftLength - Variable in class org.tensorflow.op.signal.Rfft.Inputs: An int32 tensor of shape [1].
fftLength - Variable in class org.tensorflow.op.signal.Rfft2d.Inputs: An int32 tensor of shape [2].
fftLength - Variable in class org.tensorflow.op.signal.Rfft3d.Inputs: An int32 tensor of shape [3].
fieldDelim - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The fieldDelim input
fieldDelim - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The fieldDelim input
fieldDelim(String) - Static method in class org.tensorflow.op.io.DecodeCsv: Sets the fieldDelim option.
fieldDelim - Variable in class org.tensorflow.op.io.DecodeCsv.Inputs: char delimiter to separate fields in a record.
fieldDelim(String) - Method in class org.tensorflow.op.io.DecodeCsv.Options: Sets the fieldDelim option.
fieldNames - Variable in class org.tensorflow.op.core.DecodeProto.Inputs: List of strings containing proto field names.
fieldNames - Variable in class org.tensorflow.op.core.EncodeProto.Inputs: List of strings containing proto field names.
FIELDS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DictValue
FifoQueue - Class in org.tensorflow.op.io: A queue that produces elements in first-in first-out order.
FifoQueue(Operation) - Constructor for class org.tensorflow.op.io.FifoQueue
fifoQueue(List<Class<? extends TType>>, FifoQueue.Options...) - Method in class org.tensorflow.op.IoOps: A queue that produces elements in first-in first-out order.
FifoQueue.Inputs - Class in org.tensorflow.op.io
FifoQueue.Options - Class in org.tensorflow.op.io: Optional attributes for FifoQueue
FILE_INDEX_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
FILE_LINE_COL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.StackFrameWithId
FILE_LINE_COLS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
FILE_OR_DATA_VALUE - Static variable in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy: Attempts FILE-based sharding, falling back to DATA-based sharding on failures.
FILE_PATH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DebuggedSourceFile
FILE_PATH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.SourceFile
FILE_VALUE - Static variable in enum org.tensorflow.proto.data.AutoShardPolicy: FILE: Shards by input files (i.e.
FILE_VALUE - Static variable in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy: The following are static sharding policies.
FILE_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.DebugMetadata
FILE_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.Event
fileBufferSize(Long) - Static method in class org.tensorflow.op.random.RecordInput: Sets the fileBufferSize option.
fileBufferSize - Variable in class org.tensorflow.op.random.RecordInput.Inputs: The randomization shuffling buffer.
fileBufferSize(Long) - Method in class org.tensorflow.op.random.RecordInput.Options: Sets the fileBufferSize option.
filename - Variable in class org.tensorflow.op.core.InitializeTableFromTextFile.Inputs: Filename of a vocabulary text file.
filename - Variable in class org.tensorflow.op.core.Skipgram.Inputs: The corpus's text file name.
filename - Variable in class org.tensorflow.op.data.CacheDataset.Inputs: The filename input
filename - Variable in class org.tensorflow.op.data.DatasetToTfRecord.Inputs: A scalar string tensor representing the filename to use.
filename - Variable in class org.tensorflow.op.data.experimental.DatasetToTFRecord.Inputs: A scalar string tensor representing the filename to use.
filename - Variable in class org.tensorflow.op.io.ReadFile.Inputs: The filename input
filename() - Method in class org.tensorflow.op.io.ShardedFilename: Gets filename.
filename() - Method in class org.tensorflow.op.io.ShardedFilespec: Gets filename.
filename - Variable in class org.tensorflow.op.io.WriteFile.Inputs: scalar.
filename - Variable in class org.tensorflow.op.train.SaveSlices.Inputs: Must have a single element.
FILENAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AssetFileDef
FILENAME_TENSOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.SaverDef
filenames - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The filenames input
filenames - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The filenames input
filenames - Variable in class org.tensorflow.op.data.experimental.LmdbDataset.Inputs: The filenames input
filenames - Variable in class org.tensorflow.op.data.FixedLengthRecordDataset.Inputs: The filenames input
filenames - Variable in class org.tensorflow.op.data.LMDBDataset.Inputs: A scalar or a vector containing the name(s) of the binary file(s) to be read.
filenames - Variable in class org.tensorflow.op.data.TextLineDataset.Inputs: A scalar or a vector containing the name(s) of the file(s) to be read.
filenames - Variable in class org.tensorflow.op.data.TfRecordDataset.Inputs: A scalar or vector containing the name(s) of the file(s) to be read.
filenames() - Method in class org.tensorflow.op.io.MatchingFiles: Gets filenames.
filenameSuffix - Variable in class org.tensorflow.op.summary.CreateSummaryFileWriter.Inputs: The filenameSuffix input
fileParallelism(Long) - Static method in class org.tensorflow.op.random.RecordInput: Sets the fileParallelism option.
fileParallelism - Variable in class org.tensorflow.op.random.RecordInput.Inputs: How many sstables are opened and concurrently iterated over.
fileParallelism(Long) - Method in class org.tensorflow.op.random.RecordInput.Options: Sets the fileParallelism option.
filePattern - Variable in class org.tensorflow.op.random.RecordInput.Inputs: Glob pattern for the data files.
filePattern - Variable in class org.tensorflow.op.train.RestoreSlice.Inputs: Must have a single element.
fileRandomSeed(Long) - Static method in class org.tensorflow.op.random.RecordInput: Sets the fileRandomSeed option.
fileRandomSeed - Variable in class org.tensorflow.op.random.RecordInput.Inputs: Random seeds used to produce randomized records.
fileRandomSeed(Long) - Method in class org.tensorflow.op.random.RecordInput.Options: Sets the fileRandomSeed option.
FILES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphDebugInfo
fileShuffleShiftRatio(Float) - Static method in class org.tensorflow.op.random.RecordInput: Sets the fileShuffleShiftRatio option.
fileShuffleShiftRatio - Variable in class org.tensorflow.op.random.RecordInput.Inputs: Shifts the list of files after the list is randomly shuffled.
fileShuffleShiftRatio(Float) - Method in class org.tensorflow.op.random.RecordInput.Options: Sets the fileShuffleShiftRatio option.
Fill - Class in org.tensorflow.op.core: Creates a tensor filled with a scalar value.
Fill(Operation) - Constructor for class org.tensorflow.op.core.Fill
fill(String) - Static method in class org.tensorflow.op.dtypes.AsString: Sets the fill option.
fill - Variable in class org.tensorflow.op.dtypes.AsString.Inputs: The value to pad if width > -1.
fill(String) - Method in class org.tensorflow.op.dtypes.AsString.Options: Sets the fill option.
fill(Operand<? extends TNumber>, Operand) - Method in class org.tensorflow.op.Ops: Creates a tensor filled with a scalar value.
Fill.Inputs - Class in org.tensorflow.op.core
fillMode(String) - Static method in class org.tensorflow.op.image.ImageProjectiveTransformV2: Sets the fillMode option.
fillMode - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV2.Inputs: Fill mode, "REFLECT", "WRAP", or "CONSTANT".
fillMode(String) - Method in class org.tensorflow.op.image.ImageProjectiveTransformV2.Options: Sets the fillMode option.
fillMode(String) - Static method in class org.tensorflow.op.image.ImageProjectiveTransformV3: Sets the fillMode option.
fillMode - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV3.Inputs: Fill mode, "REFLECT", "WRAP", "CONSTANT", or "NEAREST".
fillMode(String) - Method in class org.tensorflow.op.image.ImageProjectiveTransformV3.Options: Sets the fillMode option.
fillValue - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV3.Inputs: float, the value to be filled when fill_mode is constant".
filter - Variable in class org.tensorflow.op.nn.Conv2d.Inputs: A 4-D tensor of shape [filter_height, filter_width, in_channels, out_channels]
filter - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: 4-D with shape [filter_height, filter_width, in_channels, out_channels].
filter - Variable in class org.tensorflow.op.nn.Conv3d.Inputs: Shape [filter_depth, filter_height, filter_width, in_channels, out_channels].
filter - Variable in class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs: Shape [depth, rows, cols, in_channels, out_channels].
filter - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNative.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs: 4-D with shape [filter_height, filter_width, in_channels, depthwise_multiplier].
filter - Variable in class org.tensorflow.op.nn.Dilation2d.Inputs: 3-D with shape [filter_height, filter_width, depth].
filter - Variable in class org.tensorflow.op.nn.Dilation2dBackpropFilter.Inputs: 3-D with shape [filter_height, filter_width, depth].
filter - Variable in class org.tensorflow.op.nn.Dilation2dBackpropInput.Inputs: 3-D with shape [filter_height, filter_width, depth].
filter - Variable in class org.tensorflow.op.nn.FusedPadConv2d.Inputs: 4-D with shape [filter_height, filter_width, in_channels, out_channels].
filter - Variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs: 4-D with shape [filter_height, filter_width, in_channels, out_channels].
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: filter's input_depth dimension must match input's depth dimensions.
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The original filter tensor.
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The original filter tensor.
filter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The original filter tensor.
filter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The original filter tensor.
filter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The original filter tensor.
filter - Variable in class org.tensorflow.op.risc.RiscConv.Inputs: The filter input
FILTER_FUSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.OptimizationOptions
filterBackprop() - Method in class org.tensorflow.op.nn.Dilation2dBackpropFilter: Gets filterBackprop.
filterbankChannelCount(Long) - Static method in class org.tensorflow.op.audio.Mfcc: Sets the filterbankChannelCount option.
filterbankChannelCount - Variable in class org.tensorflow.op.audio.Mfcc.Inputs: Resolution of the Mel bank used internally.
filterbankChannelCount(Long) - Method in class org.tensorflow.op.audio.Mfcc.Options: Sets the filterbankChannelCount option.
FilterByLastComponentDataset - Class in org.tensorflow.op.data: Creates a dataset containing elements of first component of input_dataset having true in the last component.
FilterByLastComponentDataset(Operation) - Constructor for class org.tensorflow.op.data.FilterByLastComponentDataset
filterByLastComponentDataset(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Creates a dataset containing elements of first component of input_dataset having true in the last component.
FilterByLastComponentDataset.Inputs - Class in org.tensorflow.op.data
FilterDataset - Class in org.tensorflow.op.data: Creates a dataset containing elements of input_dataset matching predicate.
FilterDataset(Operation) - Constructor for class org.tensorflow.op.data.FilterDataset
filterDataset(Operand<? extends TType>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, FilterDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset containing elements of input_dataset matching predicate.
FilterDataset.Inputs - Class in org.tensorflow.op.data
FilterDataset.Options - Class in org.tensorflow.op.data: Optional attributes for FilterDataset
filterSizes - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: An integer vector representing the tensor shape of filter, where filter is a 4-D [filter_height, filter_width, in_channels, out_channels] tensor.
filterSizes - Variable in class org.tensorflow.op.nn.Conv3dBackpropFilter.Inputs: An integer vector representing the tensor shape of filter, where filter is a 5-D [filter_depth, filter_height, filter_width, in_channels, out_channels] tensor.
filterSizes - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs: An integer vector representing the tensor shape of filter, where filter is a 4-D [filter_height, filter_width, in_channels, depthwise_multiplier] tensor.
FINALIZED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
FinalizeDataset - Class in org.tensorflow.op.data: Creates a dataset by applying tf.data.Options to input_dataset.
FinalizeDataset(Operation) - Constructor for class org.tensorflow.op.data.FinalizeDataset
finalizeDataset(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, FinalizeDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset by applying tf.data.Options to input_dataset.
FinalizeDataset.Inputs - Class in org.tensorflow.op.data
FinalizeDataset.Options - Class in org.tensorflow.op.data: Optional attributes for FinalizeDataset
finalizeFuncOtherArgs - Variable in class org.tensorflow.op.data.GeneratorDataset.Inputs: The finalizeFuncOtherArgs input
finalizeFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: A list of tensors, typically values that were captured when building a closure for finalize_func.
finalizeFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: A list of tensors, typically values that were captured when building a closure for finalize_func.
find(DataType) - Static method in class org.tensorflow.internal.types.registry.TensorTypeRegistry: Find registered information about a tensor type from its equivalent data type
find(Class<T>) - Static method in class org.tensorflow.internal.types.registry.TensorTypeRegistry: Find registered information about a tensor type from its class
findGraphForPointer(NativeGraphPointer) - Static method in class org.tensorflow.Graph: Find the graph with the matching underlying native pointer.
Fingerprint - Class in org.tensorflow.op.core: Generates fingerprint values.
Fingerprint(Operation) - Constructor for class org.tensorflow.op.core.Fingerprint
fingerprint() - Method in class org.tensorflow.op.core.Fingerprint: Gets fingerprint.
fingerprint(Operand<? extends TType>, Operand<TString>) - Method in class org.tensorflow.op.Ops: Generates fingerprint values.
Fingerprint.Inputs - Class in org.tensorflow.op.core
first() - Method in class org.tensorflow.internal.c_api.NameMap.Iterator
FIXED_LEN_FEATURE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.example.FeatureConfiguration
FixedLenFeatureProto - Class in org.tensorflow.proto.example: Protobuf type tensorflow.FixedLenFeatureProto
FixedLenFeatureProto.Builder - Class in org.tensorflow.proto.example: Protobuf type tensorflow.FixedLenFeatureProto
FixedLenFeatureProtoOrBuilder - Interface in org.tensorflow.proto.example
fixedLength - Variable in class org.tensorflow.op.io.DecodePaddedRaw.Inputs: Length in bytes for each element of the decoded output.
FixedLengthRecordDataset - Class in org.tensorflow.op.data: The FixedLengthRecordDatasetV2 operation
FixedLengthRecordDataset(Operation) - Constructor for class org.tensorflow.op.data.FixedLengthRecordDataset
fixedLengthRecordDataset(Operand<TString>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<TString>, FixedLengthRecordDataset.Options...) - Method in class org.tensorflow.op.DataOps: The FixedLengthRecordDatasetV2 operation
FixedLengthRecordDataset.Inputs - Class in org.tensorflow.op.data
FixedLengthRecordDataset.Options - Class in org.tensorflow.op.data: Optional attributes for FixedLengthRecordDataset
FixedLengthRecordReader - Class in org.tensorflow.op.io: A Reader that outputs fixed-length records from a file.
FixedLengthRecordReader(Operation) - Constructor for class org.tensorflow.op.io.FixedLengthRecordReader
fixedLengthRecordReader(Long, FixedLengthRecordReader.Options...) - Method in class org.tensorflow.op.IoOps: A Reader that outputs fixed-length records from a file.
FixedLengthRecordReader.Inputs - Class in org.tensorflow.op.io
FixedLengthRecordReader.Options - Class in org.tensorflow.op.io: Optional attributes for FixedLengthRecordReader
FixedUnigramCandidateSampler - Class in org.tensorflow.op.nn: Generates labels for candidate sampling with a learned unigram distribution.
FixedUnigramCandidateSampler(Operation) - Constructor for class org.tensorflow.op.nn.FixedUnigramCandidateSampler
fixedUnigramCandidateSampler(Operand<TInt64>, Long, Long, Boolean, Long, FixedUnigramCandidateSampler.Options...) - Method in class org.tensorflow.op.NnOps: Generates labels for candidate sampling with a learned unigram distribution.
FixedUnigramCandidateSampler.Inputs - Class in org.tensorflow.op.nn
FixedUnigramCandidateSampler.Options - Class in org.tensorflow.op.nn: Optional attributes for FixedUnigramCandidateSampler
FlatMapDataset - Class in org.tensorflow.op.data: Creates a dataset that applies f to the outputs of input_dataset.
FlatMapDataset(Operation) - Constructor for class org.tensorflow.op.data.FlatMapDataset
flatMapDataset(Operand<? extends TType>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, FlatMapDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that applies f to the outputs of input_dataset.
FlatMapDataset.Inputs - Class in org.tensorflow.op.data
FlatMapDataset.Options - Class in org.tensorflow.op.data: Optional attributes for FlatMapDataset
flatten(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Shapes: Flatten the operand to 1 dimension.
flatten(Scope, Operand<T>, Class) - Static method in class org.tensorflow.op.core.Shapes: Flatten the operand to 1 dimension
flatten(Scope, Shape<TInt32>) - Static method in class org.tensorflow.op.core.Shapes: Flatten the shape to 1 dimension.
flatten(Scope, Shape, Class) - Static method in class org.tensorflow.op.core.Shapes: Flatten the shape to 1 dimension.
flatten(Operand<T>) - Method in class org.tensorflow.op.ShapeOps: Flatten the operand to 1 dimension.
flatten(Shape<TInt32>) - Method in class org.tensorflow.op.ShapeOps: Flatten the shape to 1 dimension.
flatten(Operand<T>, Class) - Method in class org.tensorflow.op.ShapeOps: Flatten the operand to 1 dimension
flatten(Shape, Class) - Method in class org.tensorflow.op.ShapeOps: Flatten the shape to 1 dimension.
FLOAT64_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.StructuredValue
FLOAT_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.example.Feature
FLOAT_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CollectionDef
FLOAT_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorProto
FloatList - Class in org.tensorflow.proto.example: Protobuf type tensorflow.FloatList
FloatList.Builder - Class in org.tensorflow.proto.example: Protobuf type tensorflow.FloatList
FloatListOrBuilder - Interface in org.tensorflow.proto.example
floatValues - Variable in class org.tensorflow.op.estimator.BoostedTreesBucketize.Inputs: float; List of Rank 1 Tensor each containing float values for a single feature.
floatValues - Variable in class org.tensorflow.op.estimator.BoostedTreesMakeQuantileSummaries.Inputs: float; List of Rank 1 Tensors each containing values for a single feature.
Floor<T extends TNumber> - Class in org.tensorflow.op.math: Returns element-wise largest integer not greater than x.
Floor(Operation) - Constructor for class org.tensorflow.op.math.Floor
floor(Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns element-wise largest integer not greater than x.
Floor.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
FloorDiv<T extends TType> - Class in org.tensorflow.op.math: Returns x // y element-wise.
FloorDiv(Operation) - Constructor for class org.tensorflow.op.math.FloorDiv
floorDiv(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns x // y element-wise.
FloorDiv.Inputs<T extends TType> - Class in org.tensorflow.op.math
FloorMod<T extends TNumber> - Class in org.tensorflow.op.math: Returns element-wise remainder of division.
FloorMod(Operation) - Constructor for class org.tensorflow.op.math.FloorMod
floorMod(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns element-wise remainder of division.
FloorMod.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
flow() - Method in class org.tensorflow.op.core.TensorArray: Gets flow.
flowIn - Variable in class org.tensorflow.op.core.TensorArrayConcat.Inputs: A float scalar that enforces proper chaining of operations.
flowIn - Variable in class org.tensorflow.op.core.TensorArrayGather.Inputs: A float scalar that enforces proper chaining of operations.
flowIn - Variable in class org.tensorflow.op.core.TensorArrayGrad.Inputs: A float scalar that enforces proper chaining of operations.
flowIn - Variable in class org.tensorflow.op.core.TensorArrayGradWithShape.Inputs: A float scalar that enforces proper chaining of operations.
flowIn - Variable in class org.tensorflow.op.core.TensorArrayPack.Inputs: The flowIn input
flowIn - Variable in class org.tensorflow.op.core.TensorArrayRead.Inputs: A float scalar that enforces proper chaining of operations.
flowIn - Variable in class org.tensorflow.op.core.TensorArrayScatter.Inputs: A float scalar that enforces proper chaining of operations.
flowIn - Variable in class org.tensorflow.op.core.TensorArraySize.Inputs: A float scalar that enforces proper chaining of operations.
flowIn - Variable in class org.tensorflow.op.core.TensorArraySplit.Inputs: A float scalar that enforces proper chaining of operations.
flowIn - Variable in class org.tensorflow.op.core.TensorArrayUnpack.Inputs: The flowIn input
flowIn - Variable in class org.tensorflow.op.core.TensorArrayWrite.Inputs: A float scalar that enforces proper chaining of operations.
flowOut() - Method in class org.tensorflow.op.core.TensorArrayGrad: Gets flowOut.
flowOut() - Method in class org.tensorflow.op.core.TensorArrayGradWithShape: Gets flowOut.
flowOut() - Method in class org.tensorflow.op.core.TensorArrayScatter: Gets flowOut.
flowOut() - Method in class org.tensorflow.op.core.TensorArraySplit: Gets flowOut.
flowOut() - Method in class org.tensorflow.op.core.TensorArrayUnpack: Gets flowOut.
flowOut() - Method in class org.tensorflow.op.core.TensorArrayWrite: Gets flowOut.
flushMillis - Variable in class org.tensorflow.op.summary.CreateSummaryFileWriter.Inputs: The flushMillis input
FlushSummaryWriter - Class in org.tensorflow.op.summary: The FlushSummaryWriter operation
FlushSummaryWriter(Operation) - Constructor for class org.tensorflow.op.summary.FlushSummaryWriter
FlushSummaryWriter.Inputs - Class in org.tensorflow.op.summary
footerBytes - Variable in class org.tensorflow.op.data.FixedLengthRecordDataset.Inputs: The footerBytes input
footerBytes(Long) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader: Sets the footerBytes option.
footerBytes - Variable in class org.tensorflow.op.io.FixedLengthRecordReader.Inputs: Number of bytes in the footer, defaults to 0.
footerBytes(Long) - Method in class org.tensorflow.op.io.FixedLengthRecordReader.Options: Sets the footerBytes option.
For - Class in org.tensorflow.op.core: output = input; for i in range(start, limit, delta) output = body(i, output);
For(Operation) - Constructor for class org.tensorflow.op.core.For
For.Inputs - Class in org.tensorflow.op.core
FORCE_GPU_COMPATIBLE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GPUOptions
forceInitialize() - Method in class org.tensorflow.Session: Execute the graph's initializers, regardless of whether the session has been initialized.
forgetBias(Float) - Static method in class org.tensorflow.op.nn.LSTMBlockCell: Sets the forgetBias option.
forgetBias - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: The forget gate bias.
forgetBias(Float) - Method in class org.tensorflow.op.nn.LSTMBlockCell.Options: Sets the forgetBias option.
format(String) - Static method in class org.tensorflow.op.image.EncodeJpeg: Sets the format option.
format - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: Per pixel image format.
format(String) - Method in class org.tensorflow.op.image.EncodeJpeg.Options: Sets the format option.
formatStateVar - Variable in class org.tensorflow.op.tpu.TPUReshardVariables.Inputs: The formatStateVar input
forNumber(int) - Static method in enum org.tensorflow.proto.data.AutoShardPolicy
forNumber(int) - Static method in enum org.tensorflow.proto.data.AutotuneOptions.OptionalCpuBudgetCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.AutotuneOptions.OptionalEnabledCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.AutotuneOptions.OptionalRamBudgetCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy
forNumber(int) - Static method in enum org.tensorflow.proto.data.DistributeOptions.OptionalNumDevicesCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.ExternalStatePolicy
forNumber(int) - Static method in enum org.tensorflow.proto.data.model.AutotuneAlgorithm
forNumber(int) - Static method in enum org.tensorflow.proto.data.model.NodeClass
forNumber(int) - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalApplyDefaultOptimizationsCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalFilterFusionCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalMapAndBatchFusionCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalMapAndFilterFusionCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalMapFusionCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalMapParallelizationCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalNoopEliminationCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalParallelBatchCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalShuffleAndRepeatFusionCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.Options.OptionalDeterministicCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.Options.OptionalExternalStatePolicyCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.Options.OptionalSlackCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.ThreadingOptions.OptionalMaxIntraOpParallelismCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.ThreadingOptions.OptionalPrivateThreadpoolSizeCase
forNumber(int) - Static method in enum org.tensorflow.proto.example.Feature.KindCase
forNumber(int) - Static method in enum org.tensorflow.proto.example.FeatureConfiguration.ConfigCase
forNumber(int) - Static method in enum org.tensorflow.proto.framework.ApiDef.Visibility
forNumber(int) - Static method in enum org.tensorflow.proto.framework.AttrValue.ValueCase
forNumber(int) - Static method in enum org.tensorflow.proto.framework.Code
forNumber(int) - Static method in enum org.tensorflow.proto.framework.CollectionDef.KindCase
forNumber(int) - Static method in enum org.tensorflow.proto.framework.ConfigProto.Experimental.MlirBridgeRollout
forNumber(int) - Static method in enum org.tensorflow.proto.framework.ControlFlowContextDef.CtxtCase
forNumber(int) - Static method in enum org.tensorflow.proto.framework.DataClass
forNumber(int) - Static method in enum org.tensorflow.proto.framework.DataType
forNumber(int) - Static method in enum org.tensorflow.proto.framework.FullTypeDef.AttrCase
forNumber(int) - Static method in enum org.tensorflow.proto.framework.FullTypeId
forNumber(int) - Static method in enum org.tensorflow.proto.framework.FunctionSpec.JitCompile
forNumber(int) - Static method in enum org.tensorflow.proto.framework.GraphTransferInfo.Destination
forNumber(int) - Static method in enum org.tensorflow.proto.framework.OpPerformance.ExecutionTimeCase
forNumber(int) - Static method in enum org.tensorflow.proto.framework.OptimizerOptions.GlobalJitLevel
forNumber(int) - Static method in enum org.tensorflow.proto.framework.OptimizerOptions.Level
forNumber(int) - Static method in enum org.tensorflow.proto.framework.RewriterConfig.CpuLayout
forNumber(int) - Static method in enum org.tensorflow.proto.framework.RewriterConfig.MemOptType
forNumber(int) - Static method in enum org.tensorflow.proto.framework.RewriterConfig.NumIterationsType
forNumber(int) - Static method in enum org.tensorflow.proto.framework.RewriterConfig.Toggle
forNumber(int) - Static method in enum org.tensorflow.proto.framework.RunOptions.TraceLevel
forNumber(int) - Static method in enum org.tensorflow.proto.framework.SavedObject.KindCase
forNumber(int) - Static method in enum org.tensorflow.proto.framework.StructuredValue.KindCase
forNumber(int) - Static method in enum org.tensorflow.proto.framework.Summary.Value.ValueCase
forNumber(int) - Static method in enum org.tensorflow.proto.framework.TensorInfo.EncodingCase
forNumber(int) - Static method in enum org.tensorflow.proto.framework.TensorSliceProto.Extent.HasLengthCase
forNumber(int) - Static method in enum org.tensorflow.proto.framework.TypeSpecProto.TypeSpecClass
forNumber(int) - Static method in enum org.tensorflow.proto.framework.VariableAggregation
forNumber(int) - Static method in enum org.tensorflow.proto.framework.VariableSynchronization
forNumber(int) - Static method in enum org.tensorflow.proto.framework.VerifierConfig.Toggle
forNumber(int) - Static method in enum org.tensorflow.proto.profiler.ProfileOptions.DeviceType
forNumber(int) - Static method in enum org.tensorflow.proto.profiler.XEvent.DataCase
forNumber(int) - Static method in enum org.tensorflow.proto.profiler.XStat.ValueCase
forNumber(int) - Static method in enum org.tensorflow.proto.util.BundleHeaderProto.Endianness
forNumber(int) - Static method in enum org.tensorflow.proto.util.DebugEvent.WhatCase
forNumber(int) - Static method in enum org.tensorflow.proto.util.Event.WhatCase
forNumber(int) - Static method in enum org.tensorflow.proto.util.LogMessage.Level: Deprecated.
forNumber(int) - Static method in enum org.tensorflow.proto.util.SaverDef.CheckpointFormatVersion
forNumber(int) - Static method in enum org.tensorflow.proto.util.SessionLog.SessionStatus
forNumber(int) - Static method in enum org.tensorflow.proto.util.TensorDebugMode
forNumber(int) - Static method in enum org.tensorflow.proto.util.testlog.CommitId.KindCase
forNumber(int) - Static method in enum org.tensorflow.proto.util.testlog.EntryValue.KindCase
forNumber(int) - Static method in enum org.tensorflow.proto.util.testlog.TestResults.BenchmarkType
forNumber(int) - Static method in enum org.tensorflow.proto.util.WorkerHealth
forNumber(int) - Static method in enum org.tensorflow.proto.util.WorkerShutdownMode
forOp(Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Iterable<Operand<?>>, ConcreteFunction) - Method in class org.tensorflow.op.Ops: output = input; for i in range(start, limit, delta) output = body(i, output);
FractionalAvgPool<T extends TNumber> - Class in org.tensorflow.op.nn: Performs fractional average pooling on the input.
FractionalAvgPool(Operation) - Constructor for class org.tensorflow.op.nn.FractionalAvgPool
fractionalAvgPool(Operand<T>, List<Float>, FractionalAvgPool.Options...) - Method in class org.tensorflow.op.NnOps: Performs fractional average pooling on the input.
FractionalAvgPool.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
FractionalAvgPool.Options - Class in org.tensorflow.op.nn: Optional attributes for FractionalAvgPool
FractionalAvgPoolGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes gradient of the FractionalAvgPool function.
FractionalAvgPoolGrad(Operation) - Constructor for class org.tensorflow.op.nn.FractionalAvgPoolGrad
FractionalAvgPoolGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
FractionalAvgPoolGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for FractionalAvgPoolGrad
FractionalMaxPool<T extends TNumber> - Class in org.tensorflow.op.nn: Performs fractional max pooling on the input.
FractionalMaxPool(Operation) - Constructor for class org.tensorflow.op.nn.FractionalMaxPool
fractionalMaxPool(Operand<T>, List<Float>, FractionalMaxPool.Options...) - Method in class org.tensorflow.op.NnOps: Performs fractional max pooling on the input.
FractionalMaxPool.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
FractionalMaxPool.Options - Class in org.tensorflow.op.nn: Optional attributes for FractionalMaxPool
FractionalMaxPoolGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes gradient of the FractionalMaxPool function.
FractionalMaxPoolGrad(Operation) - Constructor for class org.tensorflow.op.nn.FractionalMaxPoolGrad
FractionalMaxPoolGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
FractionalMaxPoolGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for FractionalMaxPoolGrad
FRAGMENTATION_METRIC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.MemAllocatorStats
frameName - Variable in class org.tensorflow.op.core.Enter.Inputs: The name of the child frame.
frameName - Variable in class org.tensorflow.op.core.RefEnter.Inputs: The name of the child frame.
FREED_AT_COUNT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.MemChunk
FREQUENCY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DeviceProperties
FresnelCos<T extends TNumber> - Class in org.tensorflow.op.math.special: The FresnelCos operation
FresnelCos(Operation) - Constructor for class org.tensorflow.op.math.special.FresnelCos
FresnelCos.Inputs<T extends TNumber> - Class in org.tensorflow.op.math.special
FresnelSin<T extends TNumber> - Class in org.tensorflow.op.math.special: The FresnelSin operation
FresnelSin(Operation) - Constructor for class org.tensorflow.op.math.special.FresnelSin
FresnelSin.Inputs<T extends TNumber> - Class in org.tensorflow.op.math.special
FROM_TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorConnection
fromNativeOutputs(Graph, NativeOutputVector) - Static method in class org.tensorflow.BaseGradientAdapter: Convert an array of native outputs to a list of Outputs.
FULL_HEALTH_VALUE - Static variable in enum org.tensorflow.proto.util.TensorDebugMode: A detailed health summary.
FULL_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SaveSliceInfoDef
FULL_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
FULL_NUMERICS_VALUE - Static variable in enum org.tensorflow.proto.util.TensorDebugMode: Full numeric summary.
FULL_SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SaveSliceInfoDef
FULL_TENSOR_VALUE - Static variable in enum org.tensorflow.proto.util.TensorDebugMode: Full tensor value.
FULL_TRACE_VALUE - Static variable in enum org.tensorflow.proto.framework.RunOptions.TraceLevel: FULL_TRACE = 3;
FULLARGSPEC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.FunctionSpec
fullMatrices(Boolean) - Static method in class org.tensorflow.op.linalg.BatchSvd: Sets the fullMatrices option.
fullMatrices - Variable in class org.tensorflow.op.linalg.BatchSvd.Inputs: The fullMatrices attribute
fullMatrices(Boolean) - Method in class org.tensorflow.op.linalg.BatchSvd.Options: Sets the fullMatrices option.
fullMatrices(Boolean) - Static method in class org.tensorflow.op.linalg.Qr: Sets the fullMatrices option.
fullMatrices - Variable in class org.tensorflow.op.linalg.Qr.Inputs: If true, compute full-sized `q` and `r`.
fullMatrices(Boolean) - Method in class org.tensorflow.op.linalg.Qr.Options: Sets the fullMatrices option.
fullMatrices(Boolean) - Static method in class org.tensorflow.op.linalg.Svd: Sets the fullMatrices option.
fullMatrices - Variable in class org.tensorflow.op.linalg.Svd.Inputs: If true, compute full-sized `u` and `v`.
fullMatrices(Boolean) - Method in class org.tensorflow.op.linalg.Svd.Options: Sets the fullMatrices option.
fullShape - Variable in class org.tensorflow.op.xla.SpmdShardToFullShape.Inputs: The fullShape attribute
FullTypeDef - Class in org.tensorflow.proto.framework: Highly experimental and very likely to change.
FullTypeDef.AttrCase - Enum in org.tensorflow.proto.framework
FullTypeDef.Builder - Class in org.tensorflow.proto.framework: Highly experimental and very likely to change.
FullTypeDefOrBuilder - Interface in org.tensorflow.proto.framework
FullTypeId - Enum in org.tensorflow.proto.framework: Experimental.
FullTypeProtos - Class in org.tensorflow.proto.framework
FUNC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AttrValue
FUNC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AttrValue.ListValue
FUNC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
Function - Class in org.tensorflow.op.core: Ops for calling ConcreteFunction.
Function() - Constructor for class org.tensorflow.op.core.Function
function(String) - Method in class org.tensorflow.SavedModelBundle: Return a ConcreteFunction corresponding to the function signature.
function(Signature) - Method in class org.tensorflow.Session: Create a new session function, backed by this session.
FUNCTION_ALIASES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
FUNCTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.FunctionDefLibrary
FUNCTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedObject
FUNCTION_GRAPHS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RunMetadata
FUNCTION_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GradientDef
FUNCTION_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
FUNCTION_SPEC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedBareConcreteFunction
FUNCTION_SPEC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedFunction
FunctionDef - Class in org.tensorflow.proto.framework: A function can be instantiated when the runtime can bind every attr with a value.
FunctionDef.ArgAttrs - Class in org.tensorflow.proto.framework: Attributes for function arguments.
FunctionDef.ArgAttrs.Builder - Class in org.tensorflow.proto.framework: Attributes for function arguments.
FunctionDef.ArgAttrsOrBuilder - Interface in org.tensorflow.proto.framework
FunctionDef.Builder - Class in org.tensorflow.proto.framework: A function can be instantiated when the runtime can bind every attr with a value.
FunctionDefLibrary - Class in org.tensorflow.proto.framework: A library is a set of named functions.
FunctionDefLibrary.Builder - Class in org.tensorflow.proto.framework: A library is a set of named functions.
FunctionDefLibraryOrBuilder - Interface in org.tensorflow.proto.framework
FunctionDefOrBuilder - Interface in org.tensorflow.proto.framework
FunctionProtos - Class in org.tensorflow.proto.framework
functions() - Method in class org.tensorflow.SavedModelBundle: Get all functions in the bundle.
FunctionSpec - Class in org.tensorflow.proto.framework: Represents `FunctionSpec` used in `Function`.
FunctionSpec.Builder - Class in org.tensorflow.proto.framework: Represents `FunctionSpec` used in `Function`.
FunctionSpec.JitCompile - Enum in org.tensorflow.proto.framework: Whether the function should be compiled by XLA.
FunctionSpecOrBuilder - Interface in org.tensorflow.proto.framework
FusedBatchNorm<T extends TNumber,U extends TNumber> - Class in org.tensorflow.op.nn: Batch normalization.
FusedBatchNorm(Operation) - Constructor for class org.tensorflow.op.nn.FusedBatchNorm
fusedBatchNorm(Operand<T>, Operand, Operand, Operand, Operand, FusedBatchNorm.Options...) - Method in class org.tensorflow.op.NnOps: Batch normalization.
FusedBatchNorm.Inputs<T extends TNumber,U extends TNumber> - Class in org.tensorflow.op.nn
FusedBatchNorm.Options - Class in org.tensorflow.op.nn: Optional attributes for FusedBatchNorm
FusedBatchNormGrad<T extends TNumber,U extends TNumber> - Class in org.tensorflow.op.nn: Gradient for batch normalization.
FusedBatchNormGrad(Operation) - Constructor for class org.tensorflow.op.nn.FusedBatchNormGrad
fusedBatchNormGrad(Operand<T>, Operand<T>, Operand<TFloat32>, Operand, Operand, Operand, FusedBatchNormGrad.Options...) - Method in class org.tensorflow.op.NnOps: Gradient for batch normalization.
FusedBatchNormGrad.Inputs<T extends TNumber,U extends TNumber> - Class in org.tensorflow.op.nn
FusedBatchNormGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for FusedBatchNormGrad
FusedPadConv2d<T extends TNumber> - Class in org.tensorflow.op.nn: Performs a padding as a preprocess during a convolution.
FusedPadConv2d(Operation) - Constructor for class org.tensorflow.op.nn.FusedPadConv2d
fusedPadConv2d(Operand<T>, Operand<TInt32>, Operand<T>, String, List<Long>, String) - Method in class org.tensorflow.op.NnOps: Performs a padding as a preprocess during a convolution.
FusedPadConv2d.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
FusedResizeAndPadConv2d<T extends TNumber> - Class in org.tensorflow.op.nn: Performs a resize and padding as a preprocess during a convolution.
FusedResizeAndPadConv2d(Operation) - Constructor for class org.tensorflow.op.nn.FusedResizeAndPadConv2d
fusedResizeAndPadConv2d(Operand<T>, Operand<TInt32>, Operand<TInt32>, Operand<T>, String, List<Long>, String, FusedResizeAndPadConv2d.Options...) - Method in class org.tensorflow.op.NnOps: Performs a resize and padding as a preprocess during a convolution.
FusedResizeAndPadConv2d.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
FusedResizeAndPadConv2d.Options - Class in org.tensorflow.op.nn: Optional attributes for FusedResizeAndPadConv2d

G

gains() - Method in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplit: Gets gains.
gains() - Method in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplitV2: Gets gains.
gains() - Method in class org.tensorflow.op.estimator.BoostedTreesSparseCalculateBestFeatureSplit: Gets gains.
gains - Variable in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsemble.Inputs: List of rank 1 tensors representing the gains for each of the feature's split.
gains - Variable in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsembleV2.Inputs: List of rank 1 tensors representing the gains for each of the feature's split.
gainsList() - Method in class org.tensorflow.op.estimator.BoostedTreesCalculateBestGainsPerFeature: Gets gainsList.
gamma - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization.Inputs: A 1D gamma Tensor with size matching the last dimension of t.
gamma - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad.Inputs: A 1D gamma Tensor with size matching the last dimension of t.
gamma - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: A 1D gamma Tensor with size matching the last dimension of t.
gammaMax - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the highest quantized gamma.
gammaMin - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the lowest quantized gamma.
gatedGrpc(Boolean) - Static method in class org.tensorflow.op.debugging.DebugNanCount: Sets the gatedGrpc option.
gatedGrpc - Variable in class org.tensorflow.op.debugging.DebugNanCount.Inputs: Whether this op will be gated.
gatedGrpc(Boolean) - Method in class org.tensorflow.op.debugging.DebugNanCount.Options: Sets the gatedGrpc option.
Gather<T extends TType> - Class in org.tensorflow.op.core: Gather slices from params axis axis according to indices.
Gather(Operation) - Constructor for class org.tensorflow.op.core.Gather
gather(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, Gather.Options...) - Method in class org.tensorflow.op.Ops: Gather slices from params axis axis according to indices.
Gather<T extends TType> - Class in org.tensorflow.op.xla: Wraps the XLA Gather operator documented at https://www.tensorflow.org/xla/operation_semantics#gather
Gather(Operation) - Constructor for class org.tensorflow.op.xla.Gather
gather(Operand<T>, Operand, Operand, String, Boolean) - Method in class org.tensorflow.op.XlaOps: Wraps the XLA Gather operator documented at https://www.tensorflow.org/xla/operation_semantics#gather
Gather.Inputs<T extends TType> - Class in org.tensorflow.op.core
Gather.Inputs<T extends TType,U extends TNumber> - Class in org.tensorflow.op.xla
Gather.Options - Class in org.tensorflow.op.core: Optional attributes for Gather
GatherNd<T extends TType> - Class in org.tensorflow.op.core: Gather slices from params into a Tensor with shape specified by indices.
GatherNd(Operation) - Constructor for class org.tensorflow.op.core.GatherNd
gatherNd(Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.Ops: Gather slices from params into a Tensor with shape specified by indices.
GatherNd.Inputs<T extends TType> - Class in org.tensorflow.op.core
GenerateBoundingBoxProposals - Class in org.tensorflow.op.image: This op produces Region of Interests from given bounding boxes(bbox_deltas) encoded wrt anchors according to eq.2 in arXiv:1506.01497
GenerateBoundingBoxProposals(Operation) - Constructor for class org.tensorflow.op.image.GenerateBoundingBoxProposals
GenerateBoundingBoxProposals.Inputs - Class in org.tensorflow.op.image
GenerateBoundingBoxProposals.Options - Class in org.tensorflow.op.image: Optional attributes for GenerateBoundingBoxProposals
generateQuantiles(Boolean) - Static method in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceFlush: Sets the generateQuantiles option.
generateQuantiles - Variable in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceFlush.Inputs: bool; If True, the output will be the num_quantiles for each stream where the ith entry is the ith quantile of the input with an approximation error of epsilon.
generateQuantiles(Boolean) - Method in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceFlush.Options: Sets the generateQuantiles option.
GenerateVocabRemapping - Class in org.tensorflow.op.train: Given a path to new and old vocabulary files, returns a remapping Tensor of length num_new_vocab, where remapping[i] contains the row number in the old vocabulary that corresponds to row i in the new vocabulary (starting at line new_vocab_offset and up to num_new_vocab entities), or -1 if entry i in the new vocabulary is not in the old vocabulary.
GenerateVocabRemapping(Operation) - Constructor for class org.tensorflow.op.train.GenerateVocabRemapping
generateVocabRemapping(Operand<TString>, Operand<TString>, Long, Long, GenerateVocabRemapping.Options...) - Method in class org.tensorflow.op.TrainOps: Given a path to new and old vocabulary files, returns a remapping Tensor of length num_new_vocab, where remapping[i] contains the row number in the old vocabulary that corresponds to row i in the new vocabulary (starting at line new_vocab_offset and up to num_new_vocab entities), or -1 if entry i in the new vocabulary is not in the old vocabulary.
GenerateVocabRemapping.Inputs - Class in org.tensorflow.op.train
GenerateVocabRemapping.Options - Class in org.tensorflow.op.train: Optional attributes for GenerateVocabRemapping
GeneratorDataset - Class in org.tensorflow.op.data: Creates a dataset that invokes a function to generate elements.
GeneratorDataset(Operation) - Constructor for class org.tensorflow.op.data.GeneratorDataset
generatorDataset(Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, GeneratorDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that invokes a function to generate elements.
GeneratorDataset.Inputs - Class in org.tensorflow.op.data
GeneratorDataset.Options - Class in org.tensorflow.op.data: Optional attributes for GeneratorDataset
get(BytePointer) - Method in class org.tensorflow.internal.c_api.NameMap
get(long) - Method in class org.tensorflow.internal.c_api.NativeOutputVector
get() - Method in class org.tensorflow.internal.c_api.NativeOutputVector
get() - Method in class org.tensorflow.internal.c_api.NativeOutputVector.Iterator
getActionCount() - Method in class org.tensorflow.proto.util.MemChunk.Builder: uint64 action_count = 7;
getActionCount() - Method in class org.tensorflow.proto.util.MemChunk: uint64 action_count = 7;
getActionCount() - Method in interface org.tensorflow.proto.util.MemChunkOrBuilder: uint64 action_count = 7;
getActionCount() - Method in class org.tensorflow.proto.util.SnapShot.Builder: uint64 action_count = 1;
getActionCount() - Method in class org.tensorflow.proto.util.SnapShot: uint64 action_count = 1;
getActionCount() - Method in interface org.tensorflow.proto.util.SnapShotOrBuilder: uint64 action_count = 1;
getAddress() - Method in class org.tensorflow.proto.util.MemChunk.Builder: uint64 address = 1;
getAddress() - Method in class org.tensorflow.proto.util.MemChunk: uint64 address = 1;
getAddress() - Method in interface org.tensorflow.proto.util.MemChunkOrBuilder: uint64 address = 1;
getAggregation() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: .tensorflow.VariableAggregation aggregation = 5;
getAggregation() - Method in class org.tensorflow.proto.framework.SavedVariable: .tensorflow.VariableAggregation aggregation = 5;
getAggregation() - Method in interface org.tensorflow.proto.framework.SavedVariableOrBuilder: .tensorflow.VariableAggregation aggregation = 5;
getAggregation() - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Indicates how a distributed variable will be aggregated.
getAggregation() - Method in class org.tensorflow.proto.framework.VariableDef: Indicates how a distributed variable will be aggregated.
getAggregation() - Method in interface org.tensorflow.proto.framework.VariableDefOrBuilder: Indicates how a distributed variable will be aggregated.
getAggregationValue() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: .tensorflow.VariableAggregation aggregation = 5;
getAggregationValue() - Method in class org.tensorflow.proto.framework.SavedVariable: .tensorflow.VariableAggregation aggregation = 5;
getAggregationValue() - Method in interface org.tensorflow.proto.framework.SavedVariableOrBuilder: .tensorflow.VariableAggregation aggregation = 5;
getAggregationValue() - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Indicates how a distributed variable will be aggregated.
getAggregationValue() - Method in class org.tensorflow.proto.framework.VariableDef: Indicates how a distributed variable will be aggregated.
getAggregationValue() - Method in interface org.tensorflow.proto.framework.VariableDefOrBuilder: Indicates how a distributed variable will be aggregated.
getAlgorithm() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder: Algorithm used for autotuning optimization.
getAlgorithm() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams: Algorithm used for autotuning optimization.
getAlgorithm() - Method in interface org.tensorflow.proto.data.model.ModelProto.OptimizationParamsOrBuilder: Algorithm used for autotuning optimization.
getAlgorithmValue() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder: Algorithm used for autotuning optimization.
getAlgorithmValue() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams: Algorithm used for autotuning optimization.
getAlgorithmValue() - Method in interface org.tensorflow.proto.data.model.ModelProto.OptimizationParamsOrBuilder: Algorithm used for autotuning optimization.
getAliasInputPort() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder: If >= 0, the output is an alias of an input.
getAliasInputPort() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo: If >= 0, the output is an alias of an input.
getAliasInputPort() - Method in interface org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfoOrBuilder: If >= 0, the output is an alias of an input.
getAllEndRelMicros() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 all_end_rel_micros = 5;
getAllEndRelMicros() - Method in class org.tensorflow.proto.framework.NodeExecStats: int64 all_end_rel_micros = 5;
getAllEndRelMicros() - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: int64 all_end_rel_micros = 5;
getAllEndRelNanos() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 all_end_rel_nanos = 16;
getAllEndRelNanos() - Method in class org.tensorflow.proto.framework.NodeExecStats: int64 all_end_rel_nanos = 16;
getAllEndRelNanos() - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: int64 all_end_rel_nanos = 16;
getAllocatedBytes() - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder: Total number of bytes allocated if known
getAllocatedBytes() - Method in class org.tensorflow.proto.framework.AllocationDescription: Total number of bytes allocated if known
getAllocatedBytes() - Method in interface org.tensorflow.proto.framework.AllocationDescriptionOrBuilder: Total number of bytes allocated if known
getAllocationDescription() - Method in class org.tensorflow.proto.framework.TensorDescription.Builder: Information about the size and allocator used for the data
getAllocationDescription() - Method in class org.tensorflow.proto.framework.TensorDescription: Information about the size and allocator used for the data
getAllocationDescription() - Method in interface org.tensorflow.proto.framework.TensorDescriptionOrBuilder: Information about the size and allocator used for the data
getAllocationDescriptionBuilder() - Method in class org.tensorflow.proto.framework.TensorDescription.Builder: Information about the size and allocator used for the data
getAllocationDescriptionOrBuilder() - Method in class org.tensorflow.proto.framework.TensorDescription.Builder: Information about the size and allocator used for the data
getAllocationDescriptionOrBuilder() - Method in class org.tensorflow.proto.framework.TensorDescription: Information about the size and allocator used for the data
getAllocationDescriptionOrBuilder() - Method in interface org.tensorflow.proto.framework.TensorDescriptionOrBuilder: Information about the size and allocator used for the data
getAllocationId() - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder: Identifier of the allocated buffer if known
getAllocationId() - Method in class org.tensorflow.proto.framework.AllocationDescription: Identifier of the allocated buffer if known
getAllocationId() - Method in interface org.tensorflow.proto.framework.AllocationDescriptionOrBuilder: Identifier of the allocated buffer if known
getAllocationId() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder: Id of the tensor buffer being allocated, used to match to a corresponding deallocation.
getAllocationId() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation: Id of the tensor buffer being allocated, used to match to a corresponding deallocation.
getAllocationId() - Method in interface org.tensorflow.proto.framework.MemoryLogRawAllocationOrBuilder: Id of the tensor buffer being allocated, used to match to a corresponding deallocation.
getAllocationId() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
getAllocationId() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
getAllocationId() - Method in interface org.tensorflow.proto.framework.MemoryLogRawDeallocationOrBuilder: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
getAllocationId() - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation.Builder: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
getAllocationId() - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
getAllocationId() - Method in interface org.tensorflow.proto.framework.MemoryLogTensorDeallocationOrBuilder: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
getAllocationRecords(int) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
getAllocationRecords(int) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed: The allocation and deallocation timeline.
getAllocationRecords(int) - Method in interface org.tensorflow.proto.framework.AllocatorMemoryUsedOrBuilder: The allocation and deallocation timeline.
getAllocationRecordsBuilder(int) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
getAllocationRecordsBuilderList() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
getAllocationRecordsCount() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
getAllocationRecordsCount() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed: The allocation and deallocation timeline.
getAllocationRecordsCount() - Method in interface org.tensorflow.proto.framework.AllocatorMemoryUsedOrBuilder: The allocation and deallocation timeline.
getAllocationRecordsList() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
getAllocationRecordsList() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed: The allocation and deallocation timeline.
getAllocationRecordsList() - Method in interface org.tensorflow.proto.framework.AllocatorMemoryUsedOrBuilder: The allocation and deallocation timeline.
getAllocationRecordsOrBuilder(int) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
getAllocationRecordsOrBuilder(int) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed: The allocation and deallocation timeline.
getAllocationRecordsOrBuilder(int) - Method in interface org.tensorflow.proto.framework.AllocatorMemoryUsedOrBuilder: The allocation and deallocation timeline.
getAllocationRecordsOrBuilderList() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
getAllocationRecordsOrBuilderList() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed: The allocation and deallocation timeline.
getAllocationRecordsOrBuilderList() - Method in interface org.tensorflow.proto.framework.AllocatorMemoryUsedOrBuilder: The allocation and deallocation timeline.
getAllocatorBytesInUse() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: These are snapshots of the overall allocator memory stats.
getAllocatorBytesInUse() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed: These are snapshots of the overall allocator memory stats.
getAllocatorBytesInUse() - Method in interface org.tensorflow.proto.framework.AllocatorMemoryUsedOrBuilder: These are snapshots of the overall allocator memory stats.
getAllocatorName() - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder: Name of the allocator used
getAllocatorName() - Method in class org.tensorflow.proto.framework.AllocationDescription: Name of the allocator used
getAllocatorName() - Method in interface org.tensorflow.proto.framework.AllocationDescriptionOrBuilder: Name of the allocator used
getAllocatorName() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: string allocator_name = 1;
getAllocatorName() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed: string allocator_name = 1;
getAllocatorName() - Method in interface org.tensorflow.proto.framework.AllocatorMemoryUsedOrBuilder: string allocator_name = 1;
getAllocatorName() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder: Name of the allocator used.
getAllocatorName() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation: Name of the allocator used.
getAllocatorName() - Method in interface org.tensorflow.proto.framework.MemoryLogRawAllocationOrBuilder: Name of the allocator used.
getAllocatorName() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder: Name of the allocator used.
getAllocatorName() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation: Name of the allocator used.
getAllocatorName() - Method in interface org.tensorflow.proto.framework.MemoryLogRawDeallocationOrBuilder: Name of the allocator used.
getAllocatorName() - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation.Builder: Name of the allocator used.
getAllocatorName() - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation: Name of the allocator used.
getAllocatorName() - Method in interface org.tensorflow.proto.framework.MemoryLogTensorDeallocationOrBuilder: Name of the allocator used.
getAllocatorName() - Method in class org.tensorflow.proto.util.MemoryDump.Builder: string allocator_name = 1;
getAllocatorName() - Method in class org.tensorflow.proto.util.MemoryDump: string allocator_name = 1;
getAllocatorName() - Method in interface org.tensorflow.proto.util.MemoryDumpOrBuilder: string allocator_name = 1;
getAllocatorNameBytes() - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder: Name of the allocator used
getAllocatorNameBytes() - Method in class org.tensorflow.proto.framework.AllocationDescription: Name of the allocator used
getAllocatorNameBytes() - Method in interface org.tensorflow.proto.framework.AllocationDescriptionOrBuilder: Name of the allocator used
getAllocatorNameBytes() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: string allocator_name = 1;
getAllocatorNameBytes() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed: string allocator_name = 1;
getAllocatorNameBytes() - Method in interface org.tensorflow.proto.framework.AllocatorMemoryUsedOrBuilder: string allocator_name = 1;
getAllocatorNameBytes() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder: Name of the allocator used.
getAllocatorNameBytes() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation: Name of the allocator used.
getAllocatorNameBytes() - Method in interface org.tensorflow.proto.framework.MemoryLogRawAllocationOrBuilder: Name of the allocator used.
getAllocatorNameBytes() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder: Name of the allocator used.
getAllocatorNameBytes() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation: Name of the allocator used.
getAllocatorNameBytes() - Method in interface org.tensorflow.proto.framework.MemoryLogRawDeallocationOrBuilder: Name of the allocator used.
getAllocatorNameBytes() - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation.Builder: Name of the allocator used.
getAllocatorNameBytes() - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation: Name of the allocator used.
getAllocatorNameBytes() - Method in interface org.tensorflow.proto.framework.MemoryLogTensorDeallocationOrBuilder: Name of the allocator used.
getAllocatorNameBytes() - Method in class org.tensorflow.proto.util.MemoryDump.Builder: string allocator_name = 1;
getAllocatorNameBytes() - Method in class org.tensorflow.proto.util.MemoryDump: string allocator_name = 1;
getAllocatorNameBytes() - Method in interface org.tensorflow.proto.util.MemoryDumpOrBuilder: string allocator_name = 1;
getAllocatorType() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: The type of GPU allocation strategy to use.
getAllocatorType() - Method in class org.tensorflow.proto.framework.GPUOptions: The type of GPU allocation strategy to use.
getAllocatorType() - Method in interface org.tensorflow.proto.framework.GPUOptionsOrBuilder: The type of GPU allocation strategy to use.
getAllocatorTypeBytes() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: The type of GPU allocation strategy to use.
getAllocatorTypeBytes() - Method in class org.tensorflow.proto.framework.GPUOptions: The type of GPU allocation strategy to use.
getAllocatorTypeBytes() - Method in interface org.tensorflow.proto.framework.GPUOptionsOrBuilder: The type of GPU allocation strategy to use.
getAllocBytes() - Method in class org.tensorflow.proto.framework.AllocationRecord.Builder: Number of bytes allocated, or de-allocated if negative.
getAllocBytes() - Method in class org.tensorflow.proto.framework.AllocationRecord: Number of bytes allocated, or de-allocated if negative.
getAllocBytes() - Method in interface org.tensorflow.proto.framework.AllocationRecordOrBuilder: Number of bytes allocated, or de-allocated if negative.
getAllocMicros() - Method in class org.tensorflow.proto.framework.AllocationRecord.Builder: The timestamp of the operation.
getAllocMicros() - Method in class org.tensorflow.proto.framework.AllocationRecord: The timestamp of the operation.
getAllocMicros() - Method in interface org.tensorflow.proto.framework.AllocationRecordOrBuilder: The timestamp of the operation.
getAllowedPositionalArguments() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder: The prefix of `argument_keywords` which may be identified by position.
getAllowedPositionalArguments() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction: The prefix of `argument_keywords` which may be identified by position.
getAllowedPositionalArguments() - Method in interface org.tensorflow.proto.framework.SavedBareConcreteFunctionOrBuilder: The prefix of `argument_keywords` which may be identified by position.
getAllowedValues() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder: A list of values that this kernel supports for this attr.
getAllowedValues() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint: A list of values that this kernel supports for this attr.
getAllowedValues() - Method in interface org.tensorflow.proto.framework.KernelDef.AttrConstraintOrBuilder: A list of values that this kernel supports for this attr.
getAllowedValues() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: The set of allowed values.
getAllowedValues() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef: The set of allowed values.
getAllowedValues() - Method in interface org.tensorflow.proto.framework.OpDef.AttrDefOrBuilder: The set of allowed values.
getAllowedValuesBuilder() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder: A list of values that this kernel supports for this attr.
getAllowedValuesBuilder() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: The set of allowed values.
getAllowedValuesOrBuilder() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder: A list of values that this kernel supports for this attr.
getAllowedValuesOrBuilder() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint: A list of values that this kernel supports for this attr.
getAllowedValuesOrBuilder() - Method in interface org.tensorflow.proto.framework.KernelDef.AttrConstraintOrBuilder: A list of values that this kernel supports for this attr.
getAllowedValuesOrBuilder() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: The set of allowed values.
getAllowedValuesOrBuilder() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef: The set of allowed values.
getAllowedValuesOrBuilder() - Method in interface org.tensorflow.proto.framework.OpDef.AttrDefOrBuilder: The set of allowed values.
getAllowGrowth() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.
getAllowGrowth() - Method in class org.tensorflow.proto.framework.GPUOptions: If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.
getAllowGrowth() - Method in interface org.tensorflow.proto.framework.GPUOptionsOrBuilder: If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.
getAllowSoftPlacement() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Whether soft placement is allowed.
getAllowSoftPlacement() - Method in class org.tensorflow.proto.framework.ConfigProto: Whether soft placement is allowed.
getAllowSoftPlacement() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: Whether soft placement is allowed.
getAllowsUninitializedInput() - Method in class org.tensorflow.proto.framework.OpDef.Builder: By default, all inputs to an Op must be initialized Tensors.
getAllowsUninitializedInput() - Method in class org.tensorflow.proto.framework.OpDef: By default, all inputs to an Op must be initialized Tensors.
getAllowsUninitializedInput() - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: By default, all inputs to an Op must be initialized Tensors.
getAllStartMicros() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 all_start_micros = 2;
getAllStartMicros() - Method in class org.tensorflow.proto.framework.NodeExecStats: int64 all_start_micros = 2;
getAllStartMicros() - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: int64 all_start_micros = 2;
getAllStartNanos() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 all_start_nanos = 13;
getAllStartNanos() - Method in class org.tensorflow.proto.framework.NodeExecStats: int64 all_start_nanos = 13;
getAllStartNanos() - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: int64 all_start_nanos = 13;
getAnyInfo() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: A serialized protobuf.
getAnyInfo() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef: A serialized protobuf.
getAnyInfo() - Method in interface org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDefOrBuilder: A serialized protobuf.
getAnyInfoBuilder() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: A serialized protobuf.
getAnyInfoOrBuilder() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: A serialized protobuf.
getAnyInfoOrBuilder() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef: A serialized protobuf.
getAnyInfoOrBuilder() - Method in interface org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDefOrBuilder: A serialized protobuf.
getAnyList() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.AnyList any_list = 5;
getAnyList() - Method in class org.tensorflow.proto.framework.CollectionDef: .tensorflow.CollectionDef.AnyList any_list = 5;
getAnyList() - Method in interface org.tensorflow.proto.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.AnyList any_list = 5;
getAnyListBuilder() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.AnyList any_list = 5;
getAnyListOrBuilder() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.AnyList any_list = 5;
getAnyListOrBuilder() - Method in class org.tensorflow.proto.framework.CollectionDef: .tensorflow.CollectionDef.AnyList any_list = 5;
getAnyListOrBuilder() - Method in interface org.tensorflow.proto.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.AnyList any_list = 5;
getApplyDefaultOptimizations() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder: bool apply_default_optimizations = 1;
getApplyDefaultOptimizations() - Method in class org.tensorflow.proto.data.OptimizationOptions: bool apply_default_optimizations = 1;
getApplyDefaultOptimizations() - Method in interface org.tensorflow.proto.data.OptimizationOptionsOrBuilder: bool apply_default_optimizations = 1;
getArgAttr() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: Deprecated.
getArgAttr() - Method in class org.tensorflow.proto.framework.FunctionDef: Deprecated.
getArgAttr() - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: Deprecated.
getArgAttrCount() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
getArgAttrCount() - Method in class org.tensorflow.proto.framework.FunctionDef
getArgAttrCount() - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
getArgAttrMap() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
getArgAttrMap() - Method in class org.tensorflow.proto.framework.FunctionDef: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
getArgAttrMap() - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
getArgAttrOrDefault(int, FunctionDef.ArgAttrs) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
getArgAttrOrDefault(int, FunctionDef.ArgAttrs) - Method in class org.tensorflow.proto.framework.FunctionDef: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
getArgAttrOrDefault(int, FunctionDef.ArgAttrs) - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
getArgAttrOrThrow(int) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
getArgAttrOrThrow(int) - Method in class org.tensorflow.proto.framework.FunctionDef: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
getArgAttrOrThrow(int) - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
getArgOrder(int) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: List of original in_arg names to specify new argument order.
getArgOrder(int) - Method in class org.tensorflow.proto.framework.ApiDef: List of original in_arg names to specify new argument order.
getArgOrder(int) - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: List of original in_arg names to specify new argument order.
getArgOrderBytes(int) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: List of original in_arg names to specify new argument order.
getArgOrderBytes(int) - Method in class org.tensorflow.proto.framework.ApiDef: List of original in_arg names to specify new argument order.
getArgOrderBytes(int) - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: List of original in_arg names to specify new argument order.
getArgOrderCount() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: List of original in_arg names to specify new argument order.
getArgOrderCount() - Method in class org.tensorflow.proto.framework.ApiDef: List of original in_arg names to specify new argument order.
getArgOrderCount() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: List of original in_arg names to specify new argument order.
getArgOrderList() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: List of original in_arg names to specify new argument order.
getArgOrderList() - Method in class org.tensorflow.proto.framework.ApiDef: List of original in_arg names to specify new argument order.
getArgOrderList() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: List of original in_arg names to specify new argument order.
getArgs(int) - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
getArgs(int) - Method in class org.tensorflow.proto.framework.FullTypeDef: repeated .tensorflow.FullTypeDef args = 2;
getArgs(int) - Method in interface org.tensorflow.proto.framework.FullTypeDefOrBuilder: repeated .tensorflow.FullTypeDef args = 2;
getArgsBuilder(int) - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
getArgsBuilderList() - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
getArgsCount() - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
getArgsCount() - Method in class org.tensorflow.proto.framework.FullTypeDef: repeated .tensorflow.FullTypeDef args = 2;
getArgsCount() - Method in interface org.tensorflow.proto.framework.FullTypeDefOrBuilder: repeated .tensorflow.FullTypeDef args = 2;
getArgsList() - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
getArgsList() - Method in class org.tensorflow.proto.framework.FullTypeDef: repeated .tensorflow.FullTypeDef args = 2;
getArgsList() - Method in interface org.tensorflow.proto.framework.FullTypeDefOrBuilder: repeated .tensorflow.FullTypeDef args = 2;
getArgsOrBuilder(int) - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
getArgsOrBuilder(int) - Method in class org.tensorflow.proto.framework.FullTypeDef: repeated .tensorflow.FullTypeDef args = 2;
getArgsOrBuilder(int) - Method in interface org.tensorflow.proto.framework.FullTypeDefOrBuilder: repeated .tensorflow.FullTypeDef args = 2;
getArgsOrBuilderList() - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
getArgsOrBuilderList() - Method in class org.tensorflow.proto.framework.FullTypeDef: repeated .tensorflow.FullTypeDef args = 2;
getArgsOrBuilderList() - Method in interface org.tensorflow.proto.framework.FullTypeDefOrBuilder: repeated .tensorflow.FullTypeDef args = 2;
getArgument(int) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder: repeated string argument = 1;
getArgument(int) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration: repeated string argument = 1;
getArgument(int) - Method in interface org.tensorflow.proto.util.testlog.RunConfigurationOrBuilder: repeated string argument = 1;
getArgumentBytes(int) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder: repeated string argument = 1;
getArgumentBytes(int) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration: repeated string argument = 1;
getArgumentBytes(int) - Method in interface org.tensorflow.proto.util.testlog.RunConfigurationOrBuilder: repeated string argument = 1;
getArgumentCount() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder: repeated string argument = 1;
getArgumentCount() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration: repeated string argument = 1;
getArgumentCount() - Method in interface org.tensorflow.proto.util.testlog.RunConfigurationOrBuilder: repeated string argument = 1;
getArgumentKeywords(int) - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder: A sequence of unique strings, one per Tensor argument.
getArgumentKeywords(int) - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction: A sequence of unique strings, one per Tensor argument.
getArgumentKeywords(int) - Method in interface org.tensorflow.proto.framework.SavedBareConcreteFunctionOrBuilder: A sequence of unique strings, one per Tensor argument.
getArgumentKeywordsBytes(int) - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder: A sequence of unique strings, one per Tensor argument.
getArgumentKeywordsBytes(int) - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction: A sequence of unique strings, one per Tensor argument.
getArgumentKeywordsBytes(int) - Method in interface org.tensorflow.proto.framework.SavedBareConcreteFunctionOrBuilder: A sequence of unique strings, one per Tensor argument.
getArgumentKeywordsCount() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder: A sequence of unique strings, one per Tensor argument.
getArgumentKeywordsCount() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction: A sequence of unique strings, one per Tensor argument.
getArgumentKeywordsCount() - Method in interface org.tensorflow.proto.framework.SavedBareConcreteFunctionOrBuilder: A sequence of unique strings, one per Tensor argument.
getArgumentKeywordsList() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder: A sequence of unique strings, one per Tensor argument.
getArgumentKeywordsList() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction: A sequence of unique strings, one per Tensor argument.
getArgumentKeywordsList() - Method in interface org.tensorflow.proto.framework.SavedBareConcreteFunctionOrBuilder: A sequence of unique strings, one per Tensor argument.
getArgumentList() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder: repeated string argument = 1;
getArgumentList() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration: repeated string argument = 1;
getArgumentList() - Method in interface org.tensorflow.proto.util.testlog.RunConfigurationOrBuilder: repeated string argument = 1;
getArithmeticOptimization() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Arithmetic optimizations (default is ON) e.g.
getArithmeticOptimization() - Method in class org.tensorflow.proto.framework.RewriterConfig: Arithmetic optimizations (default is ON) e.g.
getArithmeticOptimization() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Arithmetic optimizations (default is ON) e.g.
getArithmeticOptimizationValue() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Arithmetic optimizations (default is ON) e.g.
getArithmeticOptimizationValue() - Method in class org.tensorflow.proto.framework.RewriterConfig: Arithmetic optimizations (default is ON) e.g.
getArithmeticOptimizationValue() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Arithmetic optimizations (default is ON) e.g.
getAsset() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedAsset asset = 5;
getAsset() - Method in class org.tensorflow.proto.framework.SavedObject: .tensorflow.SavedAsset asset = 5;
getAsset() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: .tensorflow.SavedAsset asset = 5;
getAssetBuilder() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedAsset asset = 5;
getAssetFileDef(int) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
getAssetFileDef(int) - Method in class org.tensorflow.proto.framework.MetaGraphDef: Asset file def to be used with the defined graph.
getAssetFileDef(int) - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: Asset file def to be used with the defined graph.
getAssetFileDefBuilder(int) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
getAssetFileDefBuilderList() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
getAssetFileDefCount() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
getAssetFileDefCount() - Method in class org.tensorflow.proto.framework.MetaGraphDef: Asset file def to be used with the defined graph.
getAssetFileDefCount() - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: Asset file def to be used with the defined graph.
getAssetFileDefIndex() - Method in class org.tensorflow.proto.framework.SavedAsset.Builder: Index into `MetaGraphDef.asset_file_def[]` that describes the Asset.
getAssetFileDefIndex() - Method in class org.tensorflow.proto.framework.SavedAsset: Index into `MetaGraphDef.asset_file_def[]` that describes the Asset.
getAssetFileDefIndex() - Method in interface org.tensorflow.proto.framework.SavedAssetOrBuilder: Index into `MetaGraphDef.asset_file_def[]` that describes the Asset.
getAssetFileDefList() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
getAssetFileDefList() - Method in class org.tensorflow.proto.framework.MetaGraphDef: Asset file def to be used with the defined graph.
getAssetFileDefList() - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: Asset file def to be used with the defined graph.
getAssetFileDefOrBuilder(int) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
getAssetFileDefOrBuilder(int) - Method in class org.tensorflow.proto.framework.MetaGraphDef: Asset file def to be used with the defined graph.
getAssetFileDefOrBuilder(int) - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: Asset file def to be used with the defined graph.
getAssetFileDefOrBuilderList() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
getAssetFileDefOrBuilderList() - Method in class org.tensorflow.proto.framework.MetaGraphDef: Asset file def to be used with the defined graph.
getAssetFileDefOrBuilderList() - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: Asset file def to be used with the defined graph.
getAssetOrBuilder() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedAsset asset = 5;
getAssetOrBuilder() - Method in class org.tensorflow.proto.framework.SavedObject: .tensorflow.SavedAsset asset = 5;
getAssetOrBuilder() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: .tensorflow.SavedAsset asset = 5;
getAttr(int) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttr(int) - Method in class org.tensorflow.proto.framework.ApiDef: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttr(int) - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttr() - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder: Deprecated.
getAttr() - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs: Deprecated.
getAttr() - Method in interface org.tensorflow.proto.framework.FunctionDef.ArgAttrsOrBuilder: Deprecated.
getAttr() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: Deprecated.
getAttr() - Method in class org.tensorflow.proto.framework.FunctionDef: Deprecated.
getAttr() - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: Deprecated.
getAttr() - Method in class org.tensorflow.proto.framework.NameAttrList.Builder: Deprecated.
getAttr() - Method in class org.tensorflow.proto.framework.NameAttrList: Deprecated.
getAttr() - Method in interface org.tensorflow.proto.framework.NameAttrListOrBuilder: Deprecated.
getAttr() - Method in class org.tensorflow.proto.framework.NodeDef.Builder: Deprecated.
getAttr() - Method in class org.tensorflow.proto.framework.NodeDef: Deprecated.
getAttr() - Method in interface org.tensorflow.proto.framework.NodeDefOrBuilder: Deprecated.
getAttr(int) - Method in class org.tensorflow.proto.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttr(int) - Method in class org.tensorflow.proto.framework.OpDef: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttr(int) - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttr() - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Deprecated.
getAttr() - Method in class org.tensorflow.proto.framework.OpInfo: Deprecated.
getAttr() - Method in interface org.tensorflow.proto.framework.OpInfoOrBuilder: Deprecated.
getAttrBool(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a boolean attribute of this operation.
getAttrBoolList(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a boolean list attribute of this operation.
getAttrBuilder(int) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrBuilder(int) - Method in class org.tensorflow.proto.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrBuilderList() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrBuilderList() - Method in class org.tensorflow.proto.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrCase() - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder
getAttrCase() - Method in class org.tensorflow.proto.framework.FullTypeDef
getAttrCase() - Method in interface org.tensorflow.proto.framework.FullTypeDefOrBuilder
getAttrCount() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrCount() - Method in class org.tensorflow.proto.framework.ApiDef: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrCount() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrCount() - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder
getAttrCount() - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
getAttrCount() - Method in interface org.tensorflow.proto.framework.FunctionDef.ArgAttrsOrBuilder: map<string, .tensorflow.AttrValue> attr = 1;
getAttrCount() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
getAttrCount() - Method in class org.tensorflow.proto.framework.FunctionDef
getAttrCount() - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: Attributes specific to this function definition.
getAttrCount() - Method in class org.tensorflow.proto.framework.NameAttrList.Builder
getAttrCount() - Method in class org.tensorflow.proto.framework.NameAttrList
getAttrCount() - Method in interface org.tensorflow.proto.framework.NameAttrListOrBuilder: map<string, .tensorflow.AttrValue> attr = 2;
getAttrCount() - Method in class org.tensorflow.proto.framework.NodeDef.Builder
getAttrCount() - Method in class org.tensorflow.proto.framework.NodeDef
getAttrCount() - Method in interface org.tensorflow.proto.framework.NodeDefOrBuilder: Operation-specific graph-construction-time configuration.
getAttrCount() - Method in class org.tensorflow.proto.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrCount() - Method in class org.tensorflow.proto.framework.OpDef: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrCount() - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrCount() - Method in class org.tensorflow.proto.framework.OpInfo.Builder
getAttrCount() - Method in class org.tensorflow.proto.framework.OpInfo
getAttrCount() - Method in interface org.tensorflow.proto.framework.OpInfoOrBuilder: Custom parameters impacting the behavior of the op.
getAttrFloat(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a float attribute of this operation.
getAttrFloatList(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a float list attribute of this operation.
getAttrFunction(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a function attribute of this operation.
getAttrFunctionList(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a function list attribute of this operation.
getAttributes(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
getAttributes(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject: Serialized data specific to this object.
getAttributes(int) - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObjectOrBuilder: Serialized data specific to this object.
getAttributesBuilder(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
getAttributesBuilderList() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
getAttributesCount() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
getAttributesCount() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject: Serialized data specific to this object.
getAttributesCount() - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObjectOrBuilder: Serialized data specific to this object.
getAttributesList() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
getAttributesList() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject: Serialized data specific to this object.
getAttributesList() - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObjectOrBuilder: Serialized data specific to this object.
getAttributesOrBuilder(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
getAttributesOrBuilder(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject: Serialized data specific to this object.
getAttributesOrBuilder(int) - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObjectOrBuilder: Serialized data specific to this object.
getAttributesOrBuilderList() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
getAttributesOrBuilderList() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject: Serialized data specific to this object.
getAttributesOrBuilderList() - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObjectOrBuilder: Serialized data specific to this object.
getAttrInt(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a int attribute of this operation.
getAttrIntList(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a int list attribute of this operation.
getAttrList() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrList() - Method in class org.tensorflow.proto.framework.ApiDef: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrList() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrList() - Method in class org.tensorflow.proto.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrList() - Method in class org.tensorflow.proto.framework.OpDef: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrList() - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrMap() - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder: map<string, .tensorflow.AttrValue> attr = 1;
getAttrMap() - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs: map<string, .tensorflow.AttrValue> attr = 1;
getAttrMap() - Method in interface org.tensorflow.proto.framework.FunctionDef.ArgAttrsOrBuilder: map<string, .tensorflow.AttrValue> attr = 1;
getAttrMap() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: Attributes specific to this function definition.
getAttrMap() - Method in class org.tensorflow.proto.framework.FunctionDef: Attributes specific to this function definition.
getAttrMap() - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: Attributes specific to this function definition.
getAttrMap() - Method in class org.tensorflow.proto.framework.NameAttrList.Builder: map<string, .tensorflow.AttrValue> attr = 2;
getAttrMap() - Method in class org.tensorflow.proto.framework.NameAttrList: map<string, .tensorflow.AttrValue> attr = 2;
getAttrMap() - Method in interface org.tensorflow.proto.framework.NameAttrListOrBuilder: map<string, .tensorflow.AttrValue> attr = 2;
getAttrMap() - Method in class org.tensorflow.proto.framework.NodeDef.Builder: Operation-specific graph-construction-time configuration.
getAttrMap() - Method in class org.tensorflow.proto.framework.NodeDef: Operation-specific graph-construction-time configuration.
getAttrMap() - Method in interface org.tensorflow.proto.framework.NodeDefOrBuilder: Operation-specific graph-construction-time configuration.
getAttrMap() - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Custom parameters impacting the behavior of the op.
getAttrMap() - Method in class org.tensorflow.proto.framework.OpInfo: Custom parameters impacting the behavior of the op.
getAttrMap() - Method in interface org.tensorflow.proto.framework.OpInfoOrBuilder: Custom parameters impacting the behavior of the op.
getAttrMetadata(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the metadata of an attribute of this operation.
getAttrOrBuilder(int) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrOrBuilder(int) - Method in class org.tensorflow.proto.framework.ApiDef: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrOrBuilder(int) - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrOrBuilder(int) - Method in class org.tensorflow.proto.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrOrBuilder(int) - Method in class org.tensorflow.proto.framework.OpDef: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrOrBuilder(int) - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrOrBuilderList() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrOrBuilderList() - Method in class org.tensorflow.proto.framework.ApiDef: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrOrBuilderList() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrOrBuilderList() - Method in class org.tensorflow.proto.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrOrBuilderList() - Method in class org.tensorflow.proto.framework.OpDef: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrOrBuilderList() - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder: map<string, .tensorflow.AttrValue> attr = 1;
getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs: map<string, .tensorflow.AttrValue> attr = 1;
getAttrOrDefault(String, AttrValue) - Method in interface org.tensorflow.proto.framework.FunctionDef.ArgAttrsOrBuilder: map<string, .tensorflow.AttrValue> attr = 1;
getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: Attributes specific to this function definition.
getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.proto.framework.FunctionDef: Attributes specific to this function definition.
getAttrOrDefault(String, AttrValue) - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: Attributes specific to this function definition.
getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.proto.framework.NameAttrList.Builder: map<string, .tensorflow.AttrValue> attr = 2;
getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.proto.framework.NameAttrList: map<string, .tensorflow.AttrValue> attr = 2;
getAttrOrDefault(String, AttrValue) - Method in interface org.tensorflow.proto.framework.NameAttrListOrBuilder: map<string, .tensorflow.AttrValue> attr = 2;
getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.proto.framework.NodeDef.Builder: Operation-specific graph-construction-time configuration.
getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.proto.framework.NodeDef: Operation-specific graph-construction-time configuration.
getAttrOrDefault(String, AttrValue) - Method in interface org.tensorflow.proto.framework.NodeDefOrBuilder: Operation-specific graph-construction-time configuration.
getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Custom parameters impacting the behavior of the op.
getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.proto.framework.OpInfo: Custom parameters impacting the behavior of the op.
getAttrOrDefault(String, AttrValue) - Method in interface org.tensorflow.proto.framework.OpInfoOrBuilder: Custom parameters impacting the behavior of the op.
getAttrOrThrow(String) - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder: map<string, .tensorflow.AttrValue> attr = 1;
getAttrOrThrow(String) - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs: map<string, .tensorflow.AttrValue> attr = 1;
getAttrOrThrow(String) - Method in interface org.tensorflow.proto.framework.FunctionDef.ArgAttrsOrBuilder: map<string, .tensorflow.AttrValue> attr = 1;
getAttrOrThrow(String) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: Attributes specific to this function definition.
getAttrOrThrow(String) - Method in class org.tensorflow.proto.framework.FunctionDef: Attributes specific to this function definition.
getAttrOrThrow(String) - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: Attributes specific to this function definition.
getAttrOrThrow(String) - Method in class org.tensorflow.proto.framework.NameAttrList.Builder: map<string, .tensorflow.AttrValue> attr = 2;
getAttrOrThrow(String) - Method in class org.tensorflow.proto.framework.NameAttrList: map<string, .tensorflow.AttrValue> attr = 2;
getAttrOrThrow(String) - Method in interface org.tensorflow.proto.framework.NameAttrListOrBuilder: map<string, .tensorflow.AttrValue> attr = 2;
getAttrOrThrow(String) - Method in class org.tensorflow.proto.framework.NodeDef.Builder: Operation-specific graph-construction-time configuration.
getAttrOrThrow(String) - Method in class org.tensorflow.proto.framework.NodeDef: Operation-specific graph-construction-time configuration.
getAttrOrThrow(String) - Method in interface org.tensorflow.proto.framework.NodeDefOrBuilder: Operation-specific graph-construction-time configuration.
getAttrOrThrow(String) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Custom parameters impacting the behavior of the op.
getAttrOrThrow(String) - Method in class org.tensorflow.proto.framework.OpInfo: Custom parameters impacting the behavior of the op.
getAttrOrThrow(String) - Method in interface org.tensorflow.proto.framework.OpInfoOrBuilder: Custom parameters impacting the behavior of the op.
getAttrShape(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a shape attribute of this operation.
getAttrShapeList(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a shape list attribute of this operation.
getAttrString(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a string attribute of this operation.
getAttrStringList(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a string list attribute of this operation.
getAttrTensor(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a tensor attribute of this operation.
getAttrTensorList(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a tensor list attribute of this operation.
getAttrType(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a data type attribute of this operation.
getAttrTypeList(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a data type list attribute of this operation.
getAttrValueProto(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of an attribute of this operation as an AttrValue proto.
getAudio() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.Summary.Audio audio = 6;
getAudio() - Method in class org.tensorflow.proto.framework.Summary.Value: .tensorflow.Summary.Audio audio = 6;
getAudio() - Method in interface org.tensorflow.proto.framework.Summary.ValueOrBuilder: .tensorflow.Summary.Audio audio = 6;
getAudioBuilder() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.Summary.Audio audio = 6;
getAudioOrBuilder() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.Summary.Audio audio = 6;
getAudioOrBuilder() - Method in class org.tensorflow.proto.framework.Summary.Value: .tensorflow.Summary.Audio audio = 6;
getAudioOrBuilder() - Method in interface org.tensorflow.proto.framework.Summary.ValueOrBuilder: .tensorflow.Summary.Audio audio = 6;
getAutoMixedPrecision() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Optimize data types for CUDA (default is OFF).
getAutoMixedPrecision() - Method in class org.tensorflow.proto.framework.RewriterConfig: Optimize data types for CUDA (default is OFF).
getAutoMixedPrecision() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Optimize data types for CUDA (default is OFF).
getAutoMixedPrecisionMkl() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Optimize data types for MKL (default is OFF).
getAutoMixedPrecisionMkl() - Method in class org.tensorflow.proto.framework.RewriterConfig: Optimize data types for MKL (default is OFF).
getAutoMixedPrecisionMkl() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Optimize data types for MKL (default is OFF).
getAutoMixedPrecisionMklValue() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Optimize data types for MKL (default is OFF).
getAutoMixedPrecisionMklValue() - Method in class org.tensorflow.proto.framework.RewriterConfig: Optimize data types for MKL (default is OFF).
getAutoMixedPrecisionMklValue() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Optimize data types for MKL (default is OFF).
getAutoMixedPrecisionValue() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Optimize data types for CUDA (default is OFF).
getAutoMixedPrecisionValue() - Method in class org.tensorflow.proto.framework.RewriterConfig: Optimize data types for CUDA (default is OFF).
getAutoMixedPrecisionValue() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Optimize data types for CUDA (default is OFF).
getAutoParallel() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
getAutoParallel() - Method in class org.tensorflow.proto.framework.RewriterConfig: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
getAutoParallel() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
getAutoParallelBuilder() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
getAutoParallelOrBuilder() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
getAutoParallelOrBuilder() - Method in class org.tensorflow.proto.framework.RewriterConfig: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
getAutoParallelOrBuilder() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
getAutoShardPolicy() - Method in class org.tensorflow.proto.data.DistributeOptions.Builder: .tensorflow.data.AutoShardPolicy auto_shard_policy = 1;
getAutoShardPolicy() - Method in class org.tensorflow.proto.data.DistributeOptions: .tensorflow.data.AutoShardPolicy auto_shard_policy = 1;
getAutoShardPolicy() - Method in interface org.tensorflow.proto.data.DistributeOptionsOrBuilder: .tensorflow.data.AutoShardPolicy auto_shard_policy = 1;
getAutoShardPolicyValue() - Method in class org.tensorflow.proto.data.DistributeOptions.Builder: .tensorflow.data.AutoShardPolicy auto_shard_policy = 1;
getAutoShardPolicyValue() - Method in class org.tensorflow.proto.data.DistributeOptions: .tensorflow.data.AutoShardPolicy auto_shard_policy = 1;
getAutoShardPolicyValue() - Method in interface org.tensorflow.proto.data.DistributeOptionsOrBuilder: .tensorflow.data.AutoShardPolicy auto_shard_policy = 1;
getAutotune() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: An indication whether autotuning is enabled for this node.
getAutotune() - Method in class org.tensorflow.proto.data.model.ModelProto.Node: An indication whether autotuning is enabled for this node.
getAutotune() - Method in interface org.tensorflow.proto.data.model.ModelProto.NodeOrBuilder: An indication whether autotuning is enabled for this node.
getAutotuneOptions() - Method in class org.tensorflow.proto.data.Options.Builder: The distribution strategy options associated with the dataset.
getAutotuneOptions() - Method in class org.tensorflow.proto.data.Options: The distribution strategy options associated with the dataset.
getAutotuneOptions() - Method in interface org.tensorflow.proto.data.OptionsOrBuilder: The distribution strategy options associated with the dataset.
getAutotuneOptionsBuilder() - Method in class org.tensorflow.proto.data.Options.Builder: The distribution strategy options associated with the dataset.
getAutotuneOptionsOrBuilder() - Method in class org.tensorflow.proto.data.Options.Builder: The distribution strategy options associated with the dataset.
getAutotuneOptionsOrBuilder() - Method in class org.tensorflow.proto.data.Options: The distribution strategy options associated with the dataset.
getAutotuneOptionsOrBuilder() - Method in interface org.tensorflow.proto.data.OptionsOrBuilder: The distribution strategy options associated with the dataset.
getAvailable() - Method in class org.tensorflow.proto.util.testlog.MemoryInfo.Builder: Immediately available memory in bytes
getAvailable() - Method in class org.tensorflow.proto.util.testlog.MemoryInfo: Immediately available memory in bytes
getAvailable() - Method in interface org.tensorflow.proto.util.testlog.MemoryInfoOrBuilder: Immediately available memory in bytes
getAvailableDeviceInfo(int) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Devices accessible to the test (e.g.
getAvailableDeviceInfo(int) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration: Devices accessible to the test (e.g.
getAvailableDeviceInfo(int) - Method in interface org.tensorflow.proto.util.testlog.MachineConfigurationOrBuilder: Devices accessible to the test (e.g.
getAvailableDeviceInfoBuilder(int) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Devices accessible to the test (e.g.
getAvailableDeviceInfoBuilderList() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Devices accessible to the test (e.g.
getAvailableDeviceInfoCount() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Devices accessible to the test (e.g.
getAvailableDeviceInfoCount() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration: Devices accessible to the test (e.g.
getAvailableDeviceInfoCount() - Method in interface org.tensorflow.proto.util.testlog.MachineConfigurationOrBuilder: Devices accessible to the test (e.g.
getAvailableDeviceInfoList() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Devices accessible to the test (e.g.
getAvailableDeviceInfoList() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration: Devices accessible to the test (e.g.
getAvailableDeviceInfoList() - Method in interface org.tensorflow.proto.util.testlog.MachineConfigurationOrBuilder: Devices accessible to the test (e.g.
getAvailableDeviceInfoOrBuilder(int) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Devices accessible to the test (e.g.
getAvailableDeviceInfoOrBuilder(int) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration: Devices accessible to the test (e.g.
getAvailableDeviceInfoOrBuilder(int) - Method in interface org.tensorflow.proto.util.testlog.MachineConfigurationOrBuilder: Devices accessible to the test (e.g.
getAvailableDeviceInfoOrBuilderList() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Devices accessible to the test (e.g.
getAvailableDeviceInfoOrBuilderList() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration: Devices accessible to the test (e.g.
getAvailableDeviceInfoOrBuilderList() - Method in interface org.tensorflow.proto.util.testlog.MachineConfigurationOrBuilder: Devices accessible to the test (e.g.
getB() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "bool"
getB() - Method in class org.tensorflow.proto.framework.AttrValue: "bool"
getB(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(bool)"
getB(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(bool)"
getB(int) - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(bool)"
getB() - Method in interface org.tensorflow.proto.framework.AttrValueOrBuilder: "bool"
getBackProp() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Whether backprop is enabled for this while loop.
getBackProp() - Method in class org.tensorflow.proto.framework.WhileContextDef: Whether backprop is enabled for this while loop.
getBackProp() - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: Whether backprop is enabled for this while loop.
getBadConsumers(int) - Method in class org.tensorflow.proto.framework.VersionDef.Builder: Specific consumer versions which are disallowed (e.g.
getBadConsumers(int) - Method in class org.tensorflow.proto.framework.VersionDef: Specific consumer versions which are disallowed (e.g.
getBadConsumers(int) - Method in interface org.tensorflow.proto.framework.VersionDefOrBuilder: Specific consumer versions which are disallowed (e.g.
getBadConsumersCount() - Method in class org.tensorflow.proto.framework.VersionDef.Builder: Specific consumer versions which are disallowed (e.g.
getBadConsumersCount() - Method in class org.tensorflow.proto.framework.VersionDef: Specific consumer versions which are disallowed (e.g.
getBadConsumersCount() - Method in interface org.tensorflow.proto.framework.VersionDefOrBuilder: Specific consumer versions which are disallowed (e.g.
getBadConsumersList() - Method in class org.tensorflow.proto.framework.VersionDef.Builder: Specific consumer versions which are disallowed (e.g.
getBadConsumersList() - Method in class org.tensorflow.proto.framework.VersionDef: Specific consumer versions which are disallowed (e.g.
getBadConsumersList() - Method in interface org.tensorflow.proto.framework.VersionDefOrBuilder: Specific consumer versions which are disallowed (e.g.
getBandwidth() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Memory bandwidth in KB/s
getBandwidth() - Method in class org.tensorflow.proto.framework.DeviceProperties: Memory bandwidth in KB/s
getBandwidth() - Method in interface org.tensorflow.proto.framework.DevicePropertiesOrBuilder: Memory bandwidth in KB/s
getBareConcreteFunction() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
getBareConcreteFunction() - Method in class org.tensorflow.proto.framework.SavedObject: .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
getBareConcreteFunction() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
getBareConcreteFunctionBuilder() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
getBareConcreteFunctionOrBuilder() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
getBareConcreteFunctionOrBuilder() - Method in class org.tensorflow.proto.framework.SavedObject: .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
getBareConcreteFunctionOrBuilder() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
getBCount() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(bool)"
getBCount() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(bool)"
getBCount() - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(bool)"
getBenchmarkType() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: .tensorflow.TestResults.BenchmarkType benchmark_type = 10;
getBenchmarkType() - Method in class org.tensorflow.proto.util.testlog.TestResults: .tensorflow.TestResults.BenchmarkType benchmark_type = 10;
getBenchmarkType() - Method in interface org.tensorflow.proto.util.testlog.TestResultsOrBuilder: .tensorflow.TestResults.BenchmarkType benchmark_type = 10;
getBenchmarkTypeValue() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: .tensorflow.TestResults.BenchmarkType benchmark_type = 10;
getBenchmarkTypeValue() - Method in class org.tensorflow.proto.util.testlog.TestResults: .tensorflow.TestResults.BenchmarkType benchmark_type = 10;
getBenchmarkTypeValue() - Method in interface org.tensorflow.proto.util.testlog.TestResultsOrBuilder: .tensorflow.TestResults.BenchmarkType benchmark_type = 10;
getBin() - Method in class org.tensorflow.proto.util.BinSummary.Builder: int32 bin = 1;
getBin() - Method in class org.tensorflow.proto.util.BinSummary: int32 bin = 1;
getBin() - Method in interface org.tensorflow.proto.util.BinSummaryOrBuilder: int32 bin = 1;
getBin() - Method in class org.tensorflow.proto.util.MemChunk.Builder: int32 bin = 4;
getBin() - Method in class org.tensorflow.proto.util.MemChunk: int32 bin = 4;
getBin() - Method in interface org.tensorflow.proto.util.MemChunkOrBuilder: int32 bin = 4;
getBinSummary(int) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummary(int) - Method in class org.tensorflow.proto.util.MemoryDump: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummary(int) - Method in interface org.tensorflow.proto.util.MemoryDumpOrBuilder: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummaryBuilder(int) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummaryBuilderList() - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummaryCount() - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummaryCount() - Method in class org.tensorflow.proto.util.MemoryDump: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummaryCount() - Method in interface org.tensorflow.proto.util.MemoryDumpOrBuilder: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummaryList() - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummaryList() - Method in class org.tensorflow.proto.util.MemoryDump: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummaryList() - Method in interface org.tensorflow.proto.util.MemoryDumpOrBuilder: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummaryOrBuilder(int) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummaryOrBuilder(int) - Method in class org.tensorflow.proto.util.MemoryDump: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummaryOrBuilder(int) - Method in interface org.tensorflow.proto.util.MemoryDumpOrBuilder: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummaryOrBuilderList() - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummaryOrBuilderList() - Method in class org.tensorflow.proto.util.MemoryDump: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummaryOrBuilderList() - Method in interface org.tensorflow.proto.util.MemoryDumpOrBuilder: repeated .tensorflow.BinSummary bin_summary = 2;
getBits() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
getBits() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo: e.g.
getBits() - Method in interface org.tensorflow.proto.util.testlog.PlatformInfoOrBuilder: e.g.
getBitsBytes() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
getBitsBytes() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo: e.g.
getBitsBytes() - Method in interface org.tensorflow.proto.util.testlog.PlatformInfoOrBuilder: e.g.
getBList() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(bool)"
getBList() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(bool)"
getBList() - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(bool)"
getBoolVal(int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_BOOL
getBoolVal(int) - Method in class org.tensorflow.proto.framework.TensorProto: DT_BOOL
getBoolVal(int) - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_BOOL
getBoolValCount() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_BOOL
getBoolValCount() - Method in class org.tensorflow.proto.framework.TensorProto: DT_BOOL
getBoolValCount() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_BOOL
getBoolValList() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_BOOL
getBoolValList() - Method in class org.tensorflow.proto.framework.TensorProto: DT_BOOL
getBoolValList() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_BOOL
getBoolValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a boolean value.
getBoolValue() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents a boolean value.
getBoolValue() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents a boolean value.
getBoundedTensorSpecValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a value for tf.BoundedTensorSpec.
getBoundedTensorSpecValue() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents a value for tf.BoundedTensorSpec.
getBoundedTensorSpecValue() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents a value for tf.BoundedTensorSpec.
getBoundedTensorSpecValueBuilder() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a value for tf.BoundedTensorSpec.
getBoundedTensorSpecValueOrBuilder() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a value for tf.BoundedTensorSpec.
getBoundedTensorSpecValueOrBuilder() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents a value for tf.BoundedTensorSpec.
getBoundedTensorSpecValueOrBuilder() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents a value for tf.BoundedTensorSpec.
getBoundInputs(int) - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder: repeated int32 bound_inputs = 2;
getBoundInputs(int) - Method in class org.tensorflow.proto.framework.SavedConcreteFunction: repeated int32 bound_inputs = 2;
getBoundInputs(int) - Method in interface org.tensorflow.proto.framework.SavedConcreteFunctionOrBuilder: repeated int32 bound_inputs = 2;
getBoundInputsCount() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder: repeated int32 bound_inputs = 2;
getBoundInputsCount() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction: repeated int32 bound_inputs = 2;
getBoundInputsCount() - Method in interface org.tensorflow.proto.framework.SavedConcreteFunctionOrBuilder: repeated int32 bound_inputs = 2;
getBoundInputsList() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder: repeated int32 bound_inputs = 2;
getBoundInputsList() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction: repeated int32 bound_inputs = 2;
getBoundInputsList() - Method in interface org.tensorflow.proto.framework.SavedConcreteFunctionOrBuilder: repeated int32 bound_inputs = 2;
getBranch() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Branch prediction.
getBranch() - Method in class org.tensorflow.proto.framework.CondContextDef: Branch prediction.
getBranch() - Method in interface org.tensorflow.proto.framework.CondContextDefOrBuilder: Branch prediction.
getBucket(int) - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: repeated double bucket = 7 [packed = true];
getBucket(int) - Method in class org.tensorflow.proto.framework.HistogramProto: repeated double bucket = 7 [packed = true];
getBucket(int) - Method in interface org.tensorflow.proto.framework.HistogramProtoOrBuilder: repeated double bucket = 7 [packed = true];
getBucketCount() - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: repeated double bucket = 7 [packed = true];
getBucketCount() - Method in class org.tensorflow.proto.framework.HistogramProto: repeated double bucket = 7 [packed = true];
getBucketCount() - Method in interface org.tensorflow.proto.framework.HistogramProtoOrBuilder: repeated double bucket = 7 [packed = true];
getBucketLimit(int) - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: Parallel arrays encoding the bucket boundaries and the bucket values.
getBucketLimit(int) - Method in class org.tensorflow.proto.framework.HistogramProto: Parallel arrays encoding the bucket boundaries and the bucket values.
getBucketLimit(int) - Method in interface org.tensorflow.proto.framework.HistogramProtoOrBuilder: Parallel arrays encoding the bucket boundaries and the bucket values.
getBucketLimitCount() - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: Parallel arrays encoding the bucket boundaries and the bucket values.
getBucketLimitCount() - Method in class org.tensorflow.proto.framework.HistogramProto: Parallel arrays encoding the bucket boundaries and the bucket values.
getBucketLimitCount() - Method in interface org.tensorflow.proto.framework.HistogramProtoOrBuilder: Parallel arrays encoding the bucket boundaries and the bucket values.
getBucketLimitList() - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: Parallel arrays encoding the bucket boundaries and the bucket values.
getBucketLimitList() - Method in class org.tensorflow.proto.framework.HistogramProto: Parallel arrays encoding the bucket boundaries and the bucket values.
getBucketLimitList() - Method in interface org.tensorflow.proto.framework.HistogramProtoOrBuilder: Parallel arrays encoding the bucket boundaries and the bucket values.
getBucketList() - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: repeated double bucket = 7 [packed = true];
getBucketList() - Method in class org.tensorflow.proto.framework.HistogramProto: repeated double bucket = 7 [packed = true];
getBucketList() - Method in interface org.tensorflow.proto.framework.HistogramProtoOrBuilder: repeated double bucket = 7 [packed = true];
getBufferedBytes() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: The number of bytes stored in this node's buffer.
getBufferedBytes() - Method in class org.tensorflow.proto.data.model.ModelProto.Node: The number of bytes stored in this node's buffer.
getBufferedBytes() - Method in interface org.tensorflow.proto.data.model.ModelProto.NodeOrBuilder: The number of bytes stored in this node's buffer.
getBufferedElements() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: The number of elements stored in this node's buffer.
getBufferedElements() - Method in class org.tensorflow.proto.data.model.ModelProto.Node: The number of elements stored in this node's buffer.
getBufferedElements() - Method in interface org.tensorflow.proto.data.model.ModelProto.NodeOrBuilder: The number of elements stored in this node's buffer.
getBuildConfiguration() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The configuration of the build (compiled opt? with cuda? any copts?)
getBuildConfiguration() - Method in class org.tensorflow.proto.util.testlog.TestResults: The configuration of the build (compiled opt? with cuda? any copts?)
getBuildConfiguration() - Method in interface org.tensorflow.proto.util.testlog.TestResultsOrBuilder: The configuration of the build (compiled opt? with cuda? any copts?)
getBuildConfigurationBuilder() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The configuration of the build (compiled opt? with cuda? any copts?)
getBuildConfigurationOrBuilder() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The configuration of the build (compiled opt? with cuda? any copts?)
getBuildConfigurationOrBuilder() - Method in class org.tensorflow.proto.util.testlog.TestResults: The configuration of the build (compiled opt? with cuda? any copts?)
getBuildConfigurationOrBuilder() - Method in interface org.tensorflow.proto.util.testlog.TestResultsOrBuilder: The configuration of the build (compiled opt? with cuda? any copts?)
getBuildCostModel() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph.
getBuildCostModel() - Method in class org.tensorflow.proto.framework.GraphOptions: The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph.
getBuildCostModel() - Method in interface org.tensorflow.proto.framework.GraphOptionsOrBuilder: The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph.
getBuildCostModelAfter() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: The number of steps to skip before collecting statistics for the cost model.
getBuildCostModelAfter() - Method in class org.tensorflow.proto.framework.GraphOptions: The number of steps to skip before collecting statistics for the cost model.
getBuildCostModelAfter() - Method in interface org.tensorflow.proto.framework.GraphOptionsOrBuilder: The number of steps to skip before collecting statistics for the cost model.
getBusId() - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder: Optional bus locality of device.
getBusId() - Method in class org.tensorflow.proto.framework.DeviceLocality: Optional bus locality of device.
getBusId() - Method in interface org.tensorflow.proto.framework.DeviceLocalityOrBuilder: Optional bus locality of device.
getBusId() - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder: e.g.
getBusId() - Method in class org.tensorflow.proto.util.testlog.GPUInfo: e.g.
getBusId() - Method in interface org.tensorflow.proto.util.testlog.GPUInfoOrBuilder: e.g.
getBusIdBytes() - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder: e.g.
getBusIdBytes() - Method in class org.tensorflow.proto.util.testlog.GPUInfo: e.g.
getBusIdBytes() - Method in interface org.tensorflow.proto.util.testlog.GPUInfoOrBuilder: e.g.
getBytes() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder: Byte size of the file.
getBytes() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile: Byte size of the file.
getBytes() - Method in interface org.tensorflow.proto.framework.DebuggedSourceFileOrBuilder: Byte size of the file.
getBytesConsumed() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: The number of bytes consumed by the node.
getBytesConsumed() - Method in class org.tensorflow.proto.data.model.ModelProto.Node: The number of bytes consumed by the node.
getBytesConsumed() - Method in interface org.tensorflow.proto.data.model.ModelProto.NodeOrBuilder: The number of bytes consumed by the node.
getBytesInUse() - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder: int64 bytes_in_use = 2;
getBytesInUse() - Method in class org.tensorflow.proto.util.MemAllocatorStats: int64 bytes_in_use = 2;
getBytesInUse() - Method in interface org.tensorflow.proto.util.MemAllocatorStatsOrBuilder: int64 bytes_in_use = 2;
getBytesList() - Method in class org.tensorflow.proto.example.Feature.Builder: .tensorflow.BytesList bytes_list = 1;
getBytesList() - Method in class org.tensorflow.proto.example.Feature: .tensorflow.BytesList bytes_list = 1;
getBytesList() - Method in interface org.tensorflow.proto.example.FeatureOrBuilder: .tensorflow.BytesList bytes_list = 1;
getBytesList() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
getBytesList() - Method in class org.tensorflow.proto.framework.CollectionDef: .tensorflow.CollectionDef.BytesList bytes_list = 2;
getBytesList() - Method in interface org.tensorflow.proto.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
getBytesListBuilder() - Method in class org.tensorflow.proto.example.Feature.Builder: .tensorflow.BytesList bytes_list = 1;
getBytesListBuilder() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
getBytesListOrBuilder() - Method in class org.tensorflow.proto.example.Feature.Builder: .tensorflow.BytesList bytes_list = 1;
getBytesListOrBuilder() - Method in class org.tensorflow.proto.example.Feature: .tensorflow.BytesList bytes_list = 1;
getBytesListOrBuilder() - Method in interface org.tensorflow.proto.example.FeatureOrBuilder: .tensorflow.BytesList bytes_list = 1;
getBytesListOrBuilder() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
getBytesListOrBuilder() - Method in class org.tensorflow.proto.framework.CollectionDef: .tensorflow.CollectionDef.BytesList bytes_list = 2;
getBytesListOrBuilder() - Method in interface org.tensorflow.proto.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
getBytesProduced() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: The number of bytes produced by the node.
getBytesProduced() - Method in class org.tensorflow.proto.data.model.ModelProto.Node: The number of bytes produced by the node.
getBytesProduced() - Method in interface org.tensorflow.proto.data.model.ModelProto.NodeOrBuilder: The number of bytes produced by the node.
getBytesValue() - Method in class org.tensorflow.proto.profiler.XStat.Builder: bytes bytes_value = 6;
getBytesValue() - Method in class org.tensorflow.proto.profiler.XStat: bytes bytes_value = 6;
getBytesValue() - Method in interface org.tensorflow.proto.profiler.XStatOrBuilder: bytes bytes_value = 6;
getCacheRpcResponse() - Method in class org.tensorflow.proto.framework.RPCOptions.Builder: Setting cache_rpc_response to true will enable sender side caching of response for RecvTensorAsync and RecvBufAsync to allow receiver to retry requests .
getCacheRpcResponse() - Method in class org.tensorflow.proto.framework.RPCOptions: Setting cache_rpc_response to true will enable sender side caching of response for RecvTensorAsync and RecvBufAsync to allow receiver to retry requests .
getCacheRpcResponse() - Method in interface org.tensorflow.proto.framework.RPCOptionsOrBuilder: Setting cache_rpc_response to true will enable sender side caching of response for RecvTensorAsync and RecvBufAsync to allow receiver to retry requests .
getCacheSize() - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder: Deprecated.
getCacheSize() - Method in class org.tensorflow.proto.util.testlog.CPUInfo: Deprecated.
getCacheSize() - Method in interface org.tensorflow.proto.util.testlog.CPUInfoOrBuilder: Deprecated.
getCacheSizeCount() - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder
getCacheSizeCount() - Method in class org.tensorflow.proto.util.testlog.CPUInfo
getCacheSizeCount() - Method in interface org.tensorflow.proto.util.testlog.CPUInfoOrBuilder: Cache sizes (in bytes), e.g.
getCacheSizeMap() - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder: Cache sizes (in bytes), e.g.
getCacheSizeMap() - Method in class org.tensorflow.proto.util.testlog.CPUInfo: Cache sizes (in bytes), e.g.
getCacheSizeMap() - Method in interface org.tensorflow.proto.util.testlog.CPUInfoOrBuilder: Cache sizes (in bytes), e.g.
getCacheSizeOrDefault(String, long) - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder: Cache sizes (in bytes), e.g.
getCacheSizeOrDefault(String, long) - Method in class org.tensorflow.proto.util.testlog.CPUInfo: Cache sizes (in bytes), e.g.
getCacheSizeOrDefault(String, long) - Method in interface org.tensorflow.proto.util.testlog.CPUInfoOrBuilder: Cache sizes (in bytes), e.g.
getCacheSizeOrThrow(String) - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder: Cache sizes (in bytes), e.g.
getCacheSizeOrThrow(String) - Method in class org.tensorflow.proto.util.testlog.CPUInfo: Cache sizes (in bytes), e.g.
getCacheSizeOrThrow(String) - Method in interface org.tensorflow.proto.util.testlog.CPUInfoOrBuilder: Cache sizes (in bytes), e.g.
getCancelOpName() - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: The operation to run to cancel the queue.
getCancelOpName() - Method in class org.tensorflow.proto.framework.QueueRunnerDef: The operation to run to cancel the queue.
getCancelOpName() - Method in interface org.tensorflow.proto.framework.QueueRunnerDefOrBuilder: The operation to run to cancel the queue.
getCancelOpNameBytes() - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: The operation to run to cancel the queue.
getCancelOpNameBytes() - Method in class org.tensorflow.proto.framework.QueueRunnerDef: The operation to run to cancel the queue.
getCancelOpNameBytes() - Method in interface org.tensorflow.proto.framework.QueueRunnerDefOrBuilder: The operation to run to cancel the queue.
getCanonicalizedInputSignature() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder: Input in canonicalized form that was received to create this concrete function.
getCanonicalizedInputSignature() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction: Input in canonicalized form that was received to create this concrete function.
getCanonicalizedInputSignature() - Method in interface org.tensorflow.proto.framework.SavedConcreteFunctionOrBuilder: Input in canonicalized form that was received to create this concrete function.
getCanonicalizedInputSignatureBuilder() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder: Input in canonicalized form that was received to create this concrete function.
getCanonicalizedInputSignatureOrBuilder() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder: Input in canonicalized form that was received to create this concrete function.
getCanonicalizedInputSignatureOrBuilder() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction: Input in canonicalized form that was received to create this concrete function.
getCanonicalizedInputSignatureOrBuilder() - Method in interface org.tensorflow.proto.framework.SavedConcreteFunctionOrBuilder: Input in canonicalized form that was received to create this concrete function.
getCapturedTensor() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.CapturedTensor captured_tensor = 12;
getCapturedTensor() - Method in class org.tensorflow.proto.framework.SavedObject: .tensorflow.CapturedTensor captured_tensor = 12;
getCapturedTensor() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: .tensorflow.CapturedTensor captured_tensor = 12;
getCapturedTensorBuilder() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.CapturedTensor captured_tensor = 12;
getCapturedTensorOrBuilder() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.CapturedTensor captured_tensor = 12;
getCapturedTensorOrBuilder() - Method in class org.tensorflow.proto.framework.SavedObject: .tensorflow.CapturedTensor captured_tensor = 12;
getCapturedTensorOrBuilder() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: .tensorflow.CapturedTensor captured_tensor = 12;
getCcFlags(int) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder: CC compiler flags, if known
getCcFlags(int) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration: CC compiler flags, if known
getCcFlags(int) - Method in interface org.tensorflow.proto.util.testlog.BuildConfigurationOrBuilder: CC compiler flags, if known
getCcFlagsBytes(int) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder: CC compiler flags, if known
getCcFlagsBytes(int) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration: CC compiler flags, if known
getCcFlagsBytes(int) - Method in interface org.tensorflow.proto.util.testlog.BuildConfigurationOrBuilder: CC compiler flags, if known
getCcFlagsCount() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder: CC compiler flags, if known
getCcFlagsCount() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration: CC compiler flags, if known
getCcFlagsCount() - Method in interface org.tensorflow.proto.util.testlog.BuildConfigurationOrBuilder: CC compiler flags, if known
getCcFlagsList() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder: CC compiler flags, if known
getCcFlagsList() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration: CC compiler flags, if known
getCcFlagsList() - Method in interface org.tensorflow.proto.util.testlog.BuildConfigurationOrBuilder: CC compiler flags, if known
getChangelist() - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder: Submitted changelist.
getChangelist() - Method in class org.tensorflow.proto.util.testlog.CommitId: Submitted changelist.
getChangelist() - Method in interface org.tensorflow.proto.util.testlog.CommitIdOrBuilder: Submitted changelist.
getCheckpointKey() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: The generated name of the Tensor in the checkpoint.
getCheckpointKey() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor: The generated name of the Tensor in the checkpoint.
getCheckpointKey() - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensorOrBuilder: The generated name of the Tensor in the checkpoint.
getCheckpointKeyBytes() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: The generated name of the Tensor in the checkpoint.
getCheckpointKeyBytes() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor: The generated name of the Tensor in the checkpoint.
getCheckpointKeyBytes() - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensorOrBuilder: The generated name of the Tensor in the checkpoint.
getCheckpointPath() - Method in class org.tensorflow.proto.util.SessionLog.Builder: This checkpoint_path contains both the path and filename.
getCheckpointPath() - Method in class org.tensorflow.proto.util.SessionLog: This checkpoint_path contains both the path and filename.
getCheckpointPath() - Method in interface org.tensorflow.proto.util.SessionLogOrBuilder: This checkpoint_path contains both the path and filename.
getCheckpointPathBytes() - Method in class org.tensorflow.proto.util.SessionLog.Builder: This checkpoint_path contains both the path and filename.
getCheckpointPathBytes() - Method in class org.tensorflow.proto.util.SessionLog: This checkpoint_path contains both the path and filename.
getCheckpointPathBytes() - Method in interface org.tensorflow.proto.util.SessionLogOrBuilder: This checkpoint_path contains both the path and filename.
getChildId(int) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: XPlane.event_metadata map key for children events.
getChildId(int) - Method in class org.tensorflow.proto.profiler.XEventMetadata: XPlane.event_metadata map key for children events.
getChildId(int) - Method in interface org.tensorflow.proto.profiler.XEventMetadataOrBuilder: XPlane.event_metadata map key for children events.
getChildIdCount() - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: XPlane.event_metadata map key for children events.
getChildIdCount() - Method in class org.tensorflow.proto.profiler.XEventMetadata: XPlane.event_metadata map key for children events.
getChildIdCount() - Method in interface org.tensorflow.proto.profiler.XEventMetadataOrBuilder: XPlane.event_metadata map key for children events.
getChildIdList() - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: XPlane.event_metadata map key for children events.
getChildIdList() - Method in class org.tensorflow.proto.profiler.XEventMetadata: XPlane.event_metadata map key for children events.
getChildIdList() - Method in interface org.tensorflow.proto.profiler.XEventMetadataOrBuilder: XPlane.event_metadata map key for children events.
getChildren(int) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
getChildren(int) - Method in class org.tensorflow.proto.framework.SavedObject: Objects which this object depends on: named edges in the dependency graph.
getChildren(int) - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: Objects which this object depends on: named edges in the dependency graph.
getChildren(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
getChildren(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject: Objects which this object depends on.
getChildren(int) - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObjectOrBuilder: Objects which this object depends on.
getChildrenBuilder(int) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
getChildrenBuilder(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
getChildrenBuilderList() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
getChildrenBuilderList() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
getChildrenCount() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
getChildrenCount() - Method in class org.tensorflow.proto.framework.SavedObject: Objects which this object depends on: named edges in the dependency graph.
getChildrenCount() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: Objects which this object depends on: named edges in the dependency graph.
getChildrenCount() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
getChildrenCount() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject: Objects which this object depends on.
getChildrenCount() - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObjectOrBuilder: Objects which this object depends on.
getChildrenList() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
getChildrenList() - Method in class org.tensorflow.proto.framework.SavedObject: Objects which this object depends on: named edges in the dependency graph.
getChildrenList() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: Objects which this object depends on: named edges in the dependency graph.
getChildrenList() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
getChildrenList() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject: Objects which this object depends on.
getChildrenList() - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObjectOrBuilder: Objects which this object depends on.
getChildrenOrBuilder(int) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
getChildrenOrBuilder(int) - Method in class org.tensorflow.proto.framework.SavedObject: Objects which this object depends on: named edges in the dependency graph.
getChildrenOrBuilder(int) - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: Objects which this object depends on: named edges in the dependency graph.
getChildrenOrBuilder(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
getChildrenOrBuilder(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject: Objects which this object depends on.
getChildrenOrBuilder(int) - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObjectOrBuilder: Objects which this object depends on.
getChildrenOrBuilderList() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
getChildrenOrBuilderList() - Method in class org.tensorflow.proto.framework.SavedObject: Objects which this object depends on: named edges in the dependency graph.
getChildrenOrBuilderList() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: Objects which this object depends on: named edges in the dependency graph.
getChildrenOrBuilderList() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
getChildrenOrBuilderList() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject: Objects which this object depends on.
getChildrenOrBuilderList() - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObjectOrBuilder: Objects which this object depends on.
getChunk(int) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
getChunk(int) - Method in class org.tensorflow.proto.util.MemoryDump: repeated .tensorflow.MemChunk chunk = 3;
getChunk(int) - Method in interface org.tensorflow.proto.util.MemoryDumpOrBuilder: repeated .tensorflow.MemChunk chunk = 3;
getChunkBuilder(int) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
getChunkBuilderList() - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
getChunkCount() - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
getChunkCount() - Method in class org.tensorflow.proto.util.MemoryDump: repeated .tensorflow.MemChunk chunk = 3;
getChunkCount() - Method in interface org.tensorflow.proto.util.MemoryDumpOrBuilder: repeated .tensorflow.MemChunk chunk = 3;
getChunkList() - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
getChunkList() - Method in class org.tensorflow.proto.util.MemoryDump: repeated .tensorflow.MemChunk chunk = 3;
getChunkList() - Method in interface org.tensorflow.proto.util.MemoryDumpOrBuilder: repeated .tensorflow.MemChunk chunk = 3;
getChunkOrBuilder(int) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
getChunkOrBuilder(int) - Method in class org.tensorflow.proto.util.MemoryDump: repeated .tensorflow.MemChunk chunk = 3;
getChunkOrBuilder(int) - Method in interface org.tensorflow.proto.util.MemoryDumpOrBuilder: repeated .tensorflow.MemChunk chunk = 3;
getChunkOrBuilderList() - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
getChunkOrBuilderList() - Method in class org.tensorflow.proto.util.MemoryDump: repeated .tensorflow.MemChunk chunk = 3;
getChunkOrBuilderList() - Method in interface org.tensorflow.proto.util.MemoryDumpOrBuilder: repeated .tensorflow.MemChunk chunk = 3;
getClientTimeoutMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: How long to wait before garbage-collecting a client that hasn't heartbeated to the dispatcher.
getClientTimeoutMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: How long to wait before garbage-collecting a client that hasn't heartbeated to the dispatcher.
getClientTimeoutMs() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: How long to wait before garbage-collecting a client that hasn't heartbeated to the dispatcher.
getCloseOpName() - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: The operation to run to close the queue.
getCloseOpName() - Method in class org.tensorflow.proto.framework.QueueRunnerDef: The operation to run to close the queue.
getCloseOpName() - Method in interface org.tensorflow.proto.framework.QueueRunnerDefOrBuilder: The operation to run to close the queue.
getCloseOpNameBytes() - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: The operation to run to close the queue.
getCloseOpNameBytes() - Method in class org.tensorflow.proto.framework.QueueRunnerDef: The operation to run to close the queue.
getCloseOpNameBytes() - Method in interface org.tensorflow.proto.framework.QueueRunnerDefOrBuilder: The operation to run to close the queue.
getCluster() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The cluster of which this server is a member.
getCluster() - Method in class org.tensorflow.proto.distruntime.ServerDef: The cluster of which this server is a member.
getCluster() - Method in interface org.tensorflow.proto.distruntime.ServerDefOrBuilder: The cluster of which this server is a member.
getClusterBuilder() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The cluster of which this server is a member.
getClusterDef() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Optional list of all workers to use in this session.
getClusterDef() - Method in class org.tensorflow.proto.framework.ConfigProto: Optional list of all workers to use in this session.
getClusterDef() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: Optional list of all workers to use in this session.
getClusterDefBuilder() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Optional list of all workers to use in this session.
getClusterDefOrBuilder() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Optional list of all workers to use in this session.
getClusterDefOrBuilder() - Method in class org.tensorflow.proto.framework.ConfigProto: Optional list of all workers to use in this session.
getClusterDefOrBuilder() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: Optional list of all workers to use in this session.
getClusterDeviceFilters() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: Device filters for remote tasks in the cluster.
getClusterDeviceFilters() - Method in class org.tensorflow.proto.distruntime.ServerDef: Device filters for remote tasks in the cluster.
getClusterDeviceFilters() - Method in interface org.tensorflow.proto.distruntime.ServerDefOrBuilder: Device filters for remote tasks in the cluster.
getClusterDeviceFiltersBuilder() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: Device filters for remote tasks in the cluster.
getClusterDeviceFiltersOrBuilder() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: Device filters for remote tasks in the cluster.
getClusterDeviceFiltersOrBuilder() - Method in class org.tensorflow.proto.distruntime.ServerDef: Device filters for remote tasks in the cluster.
getClusterDeviceFiltersOrBuilder() - Method in interface org.tensorflow.proto.distruntime.ServerDefOrBuilder: Device filters for remote tasks in the cluster.
getClusterOrBuilder() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The cluster of which this server is a member.
getClusterOrBuilder() - Method in class org.tensorflow.proto.distruntime.ServerDef: The cluster of which this server is a member.
getClusterOrBuilder() - Method in interface org.tensorflow.proto.distruntime.ServerDefOrBuilder: The cluster of which this server is a member.
getCode() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder: Source code contained in this file line.
getCode() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol: Source code contained in this file line.
getCode() - Method in interface org.tensorflow.proto.framework.GraphDebugInfo.FileLineColOrBuilder: Source code contained in this file line.
getCodeBytes() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder: Source code contained in this file line.
getCodeBytes() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol: Source code contained in this file line.
getCodeBytes() - Method in interface org.tensorflow.proto.framework.GraphDebugInfo.FileLineColOrBuilder: Source code contained in this file line.
getCodeLocation() - Method in class org.tensorflow.proto.util.Execution.Builder: Stack trace of the eager execution.
getCodeLocation() - Method in class org.tensorflow.proto.util.Execution: Stack trace of the eager execution.
getCodeLocation() - Method in interface org.tensorflow.proto.util.ExecutionOrBuilder: Stack trace of the eager execution.
getCodeLocation() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: The unique ID for code location (stack trace) of the op's creation.
getCodeLocation() - Method in class org.tensorflow.proto.util.GraphOpCreation: The unique ID for code location (stack trace) of the op's creation.
getCodeLocation() - Method in interface org.tensorflow.proto.util.GraphOpCreationOrBuilder: The unique ID for code location (stack trace) of the op's creation.
getCodeLocationBuilder() - Method in class org.tensorflow.proto.util.Execution.Builder: Stack trace of the eager execution.
getCodeLocationBuilder() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: The unique ID for code location (stack trace) of the op's creation.
getCodeLocationOrBuilder() - Method in class org.tensorflow.proto.util.Execution.Builder: Stack trace of the eager execution.
getCodeLocationOrBuilder() - Method in class org.tensorflow.proto.util.Execution: Stack trace of the eager execution.
getCodeLocationOrBuilder() - Method in interface org.tensorflow.proto.util.ExecutionOrBuilder: Stack trace of the eager execution.
getCodeLocationOrBuilder() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: The unique ID for code location (stack trace) of the op's creation.
getCodeLocationOrBuilder() - Method in class org.tensorflow.proto.util.GraphOpCreation: The unique ID for code location (stack trace) of the op's creation.
getCodeLocationOrBuilder() - Method in interface org.tensorflow.proto.util.GraphOpCreationOrBuilder: The unique ID for code location (stack trace) of the op's creation.
getCol() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder: Col number in the file line.
getCol() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol: Col number in the file line.
getCol() - Method in interface org.tensorflow.proto.framework.GraphDebugInfo.FileLineColOrBuilder: Col number in the file line.
getCollectionDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Deprecated.
getCollectionDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef: Deprecated.
getCollectionDef() - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: Deprecated.
getCollectionDefCount() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder
getCollectionDefCount() - Method in class org.tensorflow.proto.framework.MetaGraphDef
getCollectionDefCount() - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: collection_def: Map from collection name to collections.
getCollectionDefMap() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: collection_def: Map from collection name to collections.
getCollectionDefMap() - Method in class org.tensorflow.proto.framework.MetaGraphDef: collection_def: Map from collection name to collections.
getCollectionDefMap() - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: collection_def: Map from collection name to collections.
getCollectionDefOrDefault(String, CollectionDef) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: collection_def: Map from collection name to collections.
getCollectionDefOrDefault(String, CollectionDef) - Method in class org.tensorflow.proto.framework.MetaGraphDef: collection_def: Map from collection name to collections.
getCollectionDefOrDefault(String, CollectionDef) - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: collection_def: Map from collection name to collections.
getCollectionDefOrThrow(String) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: collection_def: Map from collection name to collections.
getCollectionDefOrThrow(String) - Method in class org.tensorflow.proto.framework.MetaGraphDef: collection_def: Map from collection name to collections.
getCollectionDefOrThrow(String) - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: collection_def: Map from collection name to collections.
getCollectiveDeterministicSequentialExecution() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: If true, make collective op execution order sequential and deterministic for potentially concurrent collective instances.
getCollectiveDeterministicSequentialExecution() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental: If true, make collective op execution order sequential and deterministic for potentially concurrent collective instances.
getCollectiveDeterministicSequentialExecution() - Method in interface org.tensorflow.proto.framework.ConfigProto.ExperimentalOrBuilder: If true, make collective op execution order sequential and deterministic for potentially concurrent collective instances.
getCollectiveGraphKey() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder: If non-zero, declares that this graph is going to use collective ops and must synchronize step_ids with any other graph with this same group_key value (in a distributed computation where tasks run disjoint graphs).
getCollectiveGraphKey() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental: If non-zero, declares that this graph is going to use collective ops and must synchronize step_ids with any other graph with this same group_key value (in a distributed computation where tasks run disjoint graphs).
getCollectiveGraphKey() - Method in interface org.tensorflow.proto.framework.RunOptions.ExperimentalOrBuilder: If non-zero, declares that this graph is going to use collective ops and must synchronize step_ids with any other graph with this same group_key value (in a distributed computation where tasks run disjoint graphs).
getCollectiveGroupLeader() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Task name for group resolution.
getCollectiveGroupLeader() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental: Task name for group resolution.
getCollectiveGroupLeader() - Method in interface org.tensorflow.proto.framework.ConfigProto.ExperimentalOrBuilder: Task name for group resolution.
getCollectiveGroupLeaderBytes() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Task name for group resolution.
getCollectiveGroupLeaderBytes() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental: Task name for group resolution.
getCollectiveGroupLeaderBytes() - Method in interface org.tensorflow.proto.framework.ConfigProto.ExperimentalOrBuilder: Task name for group resolution.
getCollectiveNccl() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: If true, use NCCL for CollectiveOps.
getCollectiveNccl() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental: If true, use NCCL for CollectiveOps.
getCollectiveNccl() - Method in interface org.tensorflow.proto.framework.ConfigProto.ExperimentalOrBuilder: If true, use NCCL for CollectiveOps.
getCollectiveRingOrder() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: If non-empty, defines a good GPU ring order on a single worker based on device interconnect.
getCollectiveRingOrder() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental: If non-empty, defines a good GPU ring order on a single worker based on device interconnect.
getCollectiveRingOrder() - Method in interface org.tensorflow.proto.framework.GPUOptions.ExperimentalOrBuilder: If non-empty, defines a good GPU ring order on a single worker based on device interconnect.
getCollectiveRingOrderBytes() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: If non-empty, defines a good GPU ring order on a single worker based on device interconnect.
getCollectiveRingOrderBytes() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental: If non-empty, defines a good GPU ring order on a single worker based on device interconnect.
getCollectiveRingOrderBytes() - Method in interface org.tensorflow.proto.framework.GPUOptions.ExperimentalOrBuilder: If non-empty, defines a good GPU ring order on a single worker based on device interconnect.
getColorspace() - Method in class org.tensorflow.proto.framework.Summary.Image.Builder: Valid colorspace values are 1 - grayscale 2 - grayscale + alpha 3 - RGB 4 - RGBA 5 - DIGITAL_YUV 6 - BGRA
getColorspace() - Method in class org.tensorflow.proto.framework.Summary.Image: Valid colorspace values are 1 - grayscale 2 - grayscale + alpha 3 - RGB 4 - RGBA 5 - DIGITAL_YUV 6 - BGRA
getColorspace() - Method in interface org.tensorflow.proto.framework.Summary.ImageOrBuilder: Valid colorspace values are 1 - grayscale 2 - grayscale + alpha 3 - RGB 4 - RGBA 5 - DIGITAL_YUV 6 - BGRA
getCommitId() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The commit id (git hash or changelist)
getCommitId() - Method in class org.tensorflow.proto.util.testlog.TestResults: The commit id (git hash or changelist)
getCommitId() - Method in interface org.tensorflow.proto.util.testlog.TestResultsOrBuilder: The commit id (git hash or changelist)
getCommitIdBuilder() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The commit id (git hash or changelist)
getCommitIdOrBuilder() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The commit id (git hash or changelist)
getCommitIdOrBuilder() - Method in class org.tensorflow.proto.util.testlog.TestResults: The commit id (git hash or changelist)
getCommitIdOrBuilder() - Method in interface org.tensorflow.proto.util.testlog.TestResultsOrBuilder: The commit id (git hash or changelist)
getCommonSubgraphElimination() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Common subgraph elimination (default is ON) e.g.
getCommonSubgraphElimination() - Method in class org.tensorflow.proto.framework.RewriterConfig: Common subgraph elimination (default is ON) e.g.
getCommonSubgraphElimination() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Common subgraph elimination (default is ON) e.g.
getCommonSubgraphEliminationValue() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Common subgraph elimination (default is ON) e.g.
getCommonSubgraphEliminationValue() - Method in class org.tensorflow.proto.framework.RewriterConfig: Common subgraph elimination (default is ON) e.g.
getCommonSubgraphEliminationValue() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Common subgraph elimination (default is ON) e.g.
getComponents(int) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
getComponents(int) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor: A TensorInfo for each flattened component tensor.
getComponents(int) - Method in interface org.tensorflow.proto.framework.TensorInfo.CompositeTensorOrBuilder: A TensorInfo for each flattened component tensor.
getComponentsBuilder(int) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
getComponentsBuilderList() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
getComponentsCount() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
getComponentsCount() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor: A TensorInfo for each flattened component tensor.
getComponentsCount() - Method in interface org.tensorflow.proto.framework.TensorInfo.CompositeTensorOrBuilder: A TensorInfo for each flattened component tensor.
getComponentsList() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
getComponentsList() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor: A TensorInfo for each flattened component tensor.
getComponentsList() - Method in interface org.tensorflow.proto.framework.TensorInfo.CompositeTensorOrBuilder: A TensorInfo for each flattened component tensor.
getComponentsOrBuilder(int) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
getComponentsOrBuilder(int) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor: A TensorInfo for each flattened component tensor.
getComponentsOrBuilder(int) - Method in interface org.tensorflow.proto.framework.TensorInfo.CompositeTensorOrBuilder: A TensorInfo for each flattened component tensor.
getComponentsOrBuilderList() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
getComponentsOrBuilderList() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor: A TensorInfo for each flattened component tensor.
getComponentsOrBuilderList() - Method in interface org.tensorflow.proto.framework.TensorInfo.CompositeTensorOrBuilder: A TensorInfo for each flattened component tensor.
getCompositeTensor() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: Generic encoding for CompositeTensors.
getCompositeTensor() - Method in class org.tensorflow.proto.framework.TensorInfo: Generic encoding for CompositeTensors.
getCompositeTensor() - Method in interface org.tensorflow.proto.framework.TensorInfoOrBuilder: Generic encoding for CompositeTensors.
getCompositeTensorBuilder() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: Generic encoding for CompositeTensors.
getCompositeTensorOrBuilder() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: Generic encoding for CompositeTensors.
getCompositeTensorOrBuilder() - Method in class org.tensorflow.proto.framework.TensorInfo: Generic encoding for CompositeTensors.
getCompositeTensorOrBuilder() - Method in interface org.tensorflow.proto.framework.TensorInfoOrBuilder: Generic encoding for CompositeTensors.
getCompressionAlgorithm() - Method in class org.tensorflow.proto.framework.RPCOptions.Builder: The compression algorithm to be used.
getCompressionAlgorithm() - Method in class org.tensorflow.proto.framework.RPCOptions: The compression algorithm to be used.
getCompressionAlgorithm() - Method in interface org.tensorflow.proto.framework.RPCOptionsOrBuilder: The compression algorithm to be used.
getCompressionAlgorithmBytes() - Method in class org.tensorflow.proto.framework.RPCOptions.Builder: The compression algorithm to be used.
getCompressionAlgorithmBytes() - Method in class org.tensorflow.proto.framework.RPCOptions: The compression algorithm to be used.
getCompressionAlgorithmBytes() - Method in interface org.tensorflow.proto.framework.RPCOptionsOrBuilder: The compression algorithm to be used.
getCompressionLevel() - Method in class org.tensorflow.proto.framework.RPCOptions.Builder: If compression_algorithm is set, the compression level to be used.
getCompressionLevel() - Method in class org.tensorflow.proto.framework.RPCOptions: If compression_algorithm is set, the compression level to be used.
getCompressionLevel() - Method in interface org.tensorflow.proto.framework.RPCOptionsOrBuilder: If compression_algorithm is set, the compression level to be used.
getComputeCost() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Estimate of the computational cost of this node, in microseconds.
getComputeCost() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node: Estimate of the computational cost of this node, in microseconds.
getComputeCost() - Method in interface org.tensorflow.proto.framework.CostGraphDef.NodeOrBuilder: Estimate of the computational cost of this node, in microseconds.
getComputeCost() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: Time it takes to run the op (in nanoseconds).
getComputeCost() - Method in class org.tensorflow.proto.framework.OpPerformance: Time it takes to run the op (in nanoseconds).
getComputeCost() - Method in interface org.tensorflow.proto.framework.OpPerformanceOrBuilder: Time it takes to run the op (in nanoseconds).
getComputeEfficiency() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: Percentage of theoretical compute performance.
getComputeEfficiency() - Method in class org.tensorflow.proto.framework.OpPerformance: Percentage of theoretical compute performance.
getComputeEfficiency() - Method in interface org.tensorflow.proto.framework.OpPerformanceOrBuilder: Percentage of theoretical compute performance.
getComputeTime() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Analytical estimate of the computational cost of this node, in microseconds.
getComputeTime() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node: Analytical estimate of the computational cost of this node, in microseconds.
getComputeTime() - Method in interface org.tensorflow.proto.framework.CostGraphDef.NodeOrBuilder: Analytical estimate of the computational cost of this node, in microseconds.
getComputeTime() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: Analytical compute cost (in nanoseconds).
getComputeTime() - Method in class org.tensorflow.proto.framework.OpPerformance: Analytical compute cost (in nanoseconds).
getComputeTime() - Method in interface org.tensorflow.proto.framework.OpPerformanceOrBuilder: Analytical compute cost (in nanoseconds).
getConcreteFunction() - Method in class org.tensorflow.proto.framework.CapturedTensor.Builder: Name of concrete function which contains the computed graph tensor.
getConcreteFunction() - Method in class org.tensorflow.proto.framework.CapturedTensor: Name of concrete function which contains the computed graph tensor.
getConcreteFunction() - Method in interface org.tensorflow.proto.framework.CapturedTensorOrBuilder: Name of concrete function which contains the computed graph tensor.
getConcreteFunctionBytes() - Method in class org.tensorflow.proto.framework.CapturedTensor.Builder: Name of concrete function which contains the computed graph tensor.
getConcreteFunctionBytes() - Method in class org.tensorflow.proto.framework.CapturedTensor: Name of concrete function which contains the computed graph tensor.
getConcreteFunctionBytes() - Method in interface org.tensorflow.proto.framework.CapturedTensorOrBuilder: Name of concrete function which contains the computed graph tensor.
getConcreteFunctionName() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder: Identifies a SavedConcreteFunction.
getConcreteFunctionName() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction: Identifies a SavedConcreteFunction.
getConcreteFunctionName() - Method in interface org.tensorflow.proto.framework.SavedBareConcreteFunctionOrBuilder: Identifies a SavedConcreteFunction.
getConcreteFunctionNameBytes() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder: Identifies a SavedConcreteFunction.
getConcreteFunctionNameBytes() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction: Identifies a SavedConcreteFunction.
getConcreteFunctionNameBytes() - Method in interface org.tensorflow.proto.framework.SavedBareConcreteFunctionOrBuilder: Identifies a SavedConcreteFunction.
getConcreteFunctions(int) - Method in class org.tensorflow.proto.framework.SavedFunction.Builder: repeated string concrete_functions = 1;
getConcreteFunctions(int) - Method in class org.tensorflow.proto.framework.SavedFunction: repeated string concrete_functions = 1;
getConcreteFunctions(int) - Method in interface org.tensorflow.proto.framework.SavedFunctionOrBuilder: repeated string concrete_functions = 1;
getConcreteFunctions() - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder: Deprecated.
getConcreteFunctions() - Method in class org.tensorflow.proto.framework.SavedObjectGraph: Deprecated.
getConcreteFunctions() - Method in interface org.tensorflow.proto.framework.SavedObjectGraphOrBuilder: Deprecated.
getConcreteFunctionsBytes(int) - Method in class org.tensorflow.proto.framework.SavedFunction.Builder: repeated string concrete_functions = 1;
getConcreteFunctionsBytes(int) - Method in class org.tensorflow.proto.framework.SavedFunction: repeated string concrete_functions = 1;
getConcreteFunctionsBytes(int) - Method in interface org.tensorflow.proto.framework.SavedFunctionOrBuilder: repeated string concrete_functions = 1;
getConcreteFunctionsCount() - Method in class org.tensorflow.proto.framework.SavedFunction.Builder: repeated string concrete_functions = 1;
getConcreteFunctionsCount() - Method in class org.tensorflow.proto.framework.SavedFunction: repeated string concrete_functions = 1;
getConcreteFunctionsCount() - Method in interface org.tensorflow.proto.framework.SavedFunctionOrBuilder: repeated string concrete_functions = 1;
getConcreteFunctionsCount() - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder
getConcreteFunctionsCount() - Method in class org.tensorflow.proto.framework.SavedObjectGraph
getConcreteFunctionsCount() - Method in interface org.tensorflow.proto.framework.SavedObjectGraphOrBuilder: Information about captures and output structures in concrete functions.
getConcreteFunctionsList() - Method in class org.tensorflow.proto.framework.SavedFunction.Builder: repeated string concrete_functions = 1;
getConcreteFunctionsList() - Method in class org.tensorflow.proto.framework.SavedFunction: repeated string concrete_functions = 1;
getConcreteFunctionsList() - Method in interface org.tensorflow.proto.framework.SavedFunctionOrBuilder: repeated string concrete_functions = 1;
getConcreteFunctionsMap() - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder: Information about captures and output structures in concrete functions.
getConcreteFunctionsMap() - Method in class org.tensorflow.proto.framework.SavedObjectGraph: Information about captures and output structures in concrete functions.
getConcreteFunctionsMap() - Method in interface org.tensorflow.proto.framework.SavedObjectGraphOrBuilder: Information about captures and output structures in concrete functions.
getConcreteFunctionsOrDefault(String, SavedConcreteFunction) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder: Information about captures and output structures in concrete functions.
getConcreteFunctionsOrDefault(String, SavedConcreteFunction) - Method in class org.tensorflow.proto.framework.SavedObjectGraph: Information about captures and output structures in concrete functions.
getConcreteFunctionsOrDefault(String, SavedConcreteFunction) - Method in interface org.tensorflow.proto.framework.SavedObjectGraphOrBuilder: Information about captures and output structures in concrete functions.
getConcreteFunctionsOrThrow(String) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder: Information about captures and output structures in concrete functions.
getConcreteFunctionsOrThrow(String) - Method in class org.tensorflow.proto.framework.SavedObjectGraph: Information about captures and output structures in concrete functions.
getConcreteFunctionsOrThrow(String) - Method in interface org.tensorflow.proto.framework.SavedObjectGraphOrBuilder: Information about captures and output structures in concrete functions.
getCondCtxt() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder: .tensorflow.CondContextDef cond_ctxt = 1;
getCondCtxt() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef: .tensorflow.CondContextDef cond_ctxt = 1;
getCondCtxt() - Method in interface org.tensorflow.proto.framework.ControlFlowContextDefOrBuilder: .tensorflow.CondContextDef cond_ctxt = 1;
getCondCtxtBuilder() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder: .tensorflow.CondContextDef cond_ctxt = 1;
getCondCtxtOrBuilder() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder: .tensorflow.CondContextDef cond_ctxt = 1;
getCondCtxtOrBuilder() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef: .tensorflow.CondContextDef cond_ctxt = 1;
getCondCtxtOrBuilder() - Method in interface org.tensorflow.proto.framework.ControlFlowContextDefOrBuilder: .tensorflow.CondContextDef cond_ctxt = 1;
getConfigCase() - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder
getConfigCase() - Method in class org.tensorflow.proto.example.FeatureConfiguration
getConfigCase() - Method in interface org.tensorflow.proto.example.FeatureConfigurationOrBuilder
getConstant() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedConstant constant = 9;
getConstant() - Method in class org.tensorflow.proto.framework.SavedObject: .tensorflow.SavedConstant constant = 9;
getConstant() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: .tensorflow.SavedConstant constant = 9;
getConstantBuilder() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedConstant constant = 9;
getConstantFolding() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
getConstantFolding() - Method in class org.tensorflow.proto.framework.RewriterConfig: Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
getConstantFolding() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
getConstantFoldingValue() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
getConstantFoldingValue() - Method in class org.tensorflow.proto.framework.RewriterConfig: Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
getConstantFoldingValue() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
getConstantOrBuilder() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedConstant constant = 9;
getConstantOrBuilder() - Method in class org.tensorflow.proto.framework.SavedObject: .tensorflow.SavedConstant constant = 9;
getConstantOrBuilder() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: .tensorflow.SavedConstant constant = 9;
getConstNodeInfo(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfo(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfo(int) - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoBuilder(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoBuilderList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoCount() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoCount() - Method in class org.tensorflow.proto.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoCount() - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoList() - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoOrBuilder(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoOrBuilder(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoOrBuilder(int) - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoOrBuilderList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoOrBuilderList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoOrBuilderList() - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstraint(int) - Method in class org.tensorflow.proto.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraint(int) - Method in class org.tensorflow.proto.framework.KernelDef: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraint(int) - Method in interface org.tensorflow.proto.framework.KernelDefOrBuilder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintBuilder(int) - Method in class org.tensorflow.proto.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintBuilderList() - Method in class org.tensorflow.proto.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintCount() - Method in class org.tensorflow.proto.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintCount() - Method in class org.tensorflow.proto.framework.KernelDef: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintCount() - Method in interface org.tensorflow.proto.framework.KernelDefOrBuilder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintList() - Method in class org.tensorflow.proto.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintList() - Method in class org.tensorflow.proto.framework.KernelDef: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintList() - Method in interface org.tensorflow.proto.framework.KernelDefOrBuilder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintOrBuilder(int) - Method in class org.tensorflow.proto.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintOrBuilder(int) - Method in class org.tensorflow.proto.framework.KernelDef: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintOrBuilder(int) - Method in interface org.tensorflow.proto.framework.KernelDefOrBuilder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintOrBuilderList() - Method in class org.tensorflow.proto.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintOrBuilderList() - Method in class org.tensorflow.proto.framework.KernelDef: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintOrBuilderList() - Method in interface org.tensorflow.proto.framework.KernelDefOrBuilder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getContainer() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Container in which this resource is placed.
getContainer() - Method in class org.tensorflow.proto.framework.ResourceHandleProto: Container in which this resource is placed.
getContainer() - Method in interface org.tensorflow.proto.framework.ResourceHandleProtoOrBuilder: Container in which this resource is placed.
getContainerBytes() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Container in which this resource is placed.
getContainerBytes() - Method in class org.tensorflow.proto.framework.ResourceHandleProto: Container in which this resource is placed.
getContainerBytes() - Method in interface org.tensorflow.proto.framework.ResourceHandleProtoOrBuilder: Container in which this resource is placed.
getContent() - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData.Builder: The content to store for the plugin.
getContent() - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData: The content to store for the plugin.
getContent() - Method in interface org.tensorflow.proto.framework.SummaryMetadata.PluginDataOrBuilder: The content to store for the plugin.
getContentType() - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder: string content_type = 5;
getContentType() - Method in class org.tensorflow.proto.framework.Summary.Audio: string content_type = 5;
getContentType() - Method in interface org.tensorflow.proto.framework.Summary.AudioOrBuilder: string content_type = 5;
getContentTypeBytes() - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder: string content_type = 5;
getContentTypeBytes() - Method in class org.tensorflow.proto.framework.Summary.Audio: string content_type = 5;
getContentTypeBytes() - Method in interface org.tensorflow.proto.framework.Summary.AudioOrBuilder: string content_type = 5;
getContext() - Method in class org.tensorflow.proto.example.SequenceExample.Builder: .tensorflow.Features context = 1;
getContext() - Method in class org.tensorflow.proto.example.SequenceExample: .tensorflow.Features context = 1;
getContext() - Method in interface org.tensorflow.proto.example.SequenceExampleOrBuilder: .tensorflow.Features context = 1;
getContextBuilder() - Method in class org.tensorflow.proto.example.SequenceExample.Builder: .tensorflow.Features context = 1;
getContextName() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Name of the context.
getContextName() - Method in class org.tensorflow.proto.framework.CondContextDef: Name of the context.
getContextName() - Method in interface org.tensorflow.proto.framework.CondContextDefOrBuilder: Name of the context.
getContextName() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Name of the context.
getContextName() - Method in class org.tensorflow.proto.framework.WhileContextDef: Name of the context.
getContextName() - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: Name of the context.
getContextNameBytes() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Name of the context.
getContextNameBytes() - Method in class org.tensorflow.proto.framework.CondContextDef: Name of the context.
getContextNameBytes() - Method in interface org.tensorflow.proto.framework.CondContextDefOrBuilder: Name of the context.
getContextNameBytes() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Name of the context.
getContextNameBytes() - Method in class org.tensorflow.proto.framework.WhileContextDef: Name of the context.
getContextNameBytes() - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: Name of the context.
getContextOrBuilder() - Method in class org.tensorflow.proto.example.SequenceExample.Builder: .tensorflow.Features context = 1;
getContextOrBuilder() - Method in class org.tensorflow.proto.example.SequenceExample: .tensorflow.Features context = 1;
getContextOrBuilder() - Method in interface org.tensorflow.proto.example.SequenceExampleOrBuilder: .tensorflow.Features context = 1;
getControlInput(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Ids of the control inputs for this node.
getControlInput(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node: Ids of the control inputs for this node.
getControlInput(int) - Method in interface org.tensorflow.proto.framework.CostGraphDef.NodeOrBuilder: Ids of the control inputs for this node.
getControlInputCount() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Ids of the control inputs for this node.
getControlInputCount() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node: Ids of the control inputs for this node.
getControlInputCount() - Method in interface org.tensorflow.proto.framework.CostGraphDef.NodeOrBuilder: Ids of the control inputs for this node.
getControlInputList() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Ids of the control inputs for this node.
getControlInputList() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node: Ids of the control inputs for this node.
getControlInputList() - Method in interface org.tensorflow.proto.framework.CostGraphDef.NodeOrBuilder: Ids of the control inputs for this node.
getControlOutput(int) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Named control outputs for this operation.
getControlOutput(int) - Method in class org.tensorflow.proto.framework.OpDef: Named control outputs for this operation.
getControlOutput(int) - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: Named control outputs for this operation.
getControlOutputBytes(int) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Named control outputs for this operation.
getControlOutputBytes(int) - Method in class org.tensorflow.proto.framework.OpDef: Named control outputs for this operation.
getControlOutputBytes(int) - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: Named control outputs for this operation.
getControlOutputCount() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Named control outputs for this operation.
getControlOutputCount() - Method in class org.tensorflow.proto.framework.OpDef: Named control outputs for this operation.
getControlOutputCount() - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: Named control outputs for this operation.
getControlOutputList() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Named control outputs for this operation.
getControlOutputList() - Method in class org.tensorflow.proto.framework.OpDef: Named control outputs for this operation.
getControlOutputList() - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: Named control outputs for this operation.
getControlRet() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: Deprecated.
getControlRet() - Method in class org.tensorflow.proto.framework.FunctionDef: Deprecated.
getControlRet() - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: Deprecated.
getControlRetCount() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
getControlRetCount() - Method in class org.tensorflow.proto.framework.FunctionDef
getControlRetCount() - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
getControlRetMap() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
getControlRetMap() - Method in class org.tensorflow.proto.framework.FunctionDef: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
getControlRetMap() - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
getControlRetOrDefault(String, String) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
getControlRetOrDefault(String, String) - Method in class org.tensorflow.proto.framework.FunctionDef: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
getControlRetOrDefault(String, String) - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
getControlRetOrThrow(String) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
getControlRetOrThrow(String) - Method in class org.tensorflow.proto.framework.FunctionDef: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
getControlRetOrThrow(String) - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
getCoordinationService() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Distributed coordination service to be enabled if set.
getCoordinationService() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental: Distributed coordination service to be enabled if set.
getCoordinationService() - Method in interface org.tensorflow.proto.framework.ConfigProto.ExperimentalOrBuilder: Distributed coordination service to be enabled if set.
getCoordinationServiceBytes() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Distributed coordination service to be enabled if set.
getCoordinationServiceBytes() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental: Distributed coordination service to be enabled if set.
getCoordinationServiceBytes() - Method in interface org.tensorflow.proto.framework.ConfigProto.ExperimentalOrBuilder: Distributed coordination service to be enabled if set.
getCooSparse() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
getCooSparse() - Method in class org.tensorflow.proto.framework.TensorInfo: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
getCooSparse() - Method in interface org.tensorflow.proto.framework.TensorInfoOrBuilder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
getCooSparseBuilder() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
getCooSparseOrBuilder() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
getCooSparseOrBuilder() - Method in class org.tensorflow.proto.framework.TensorInfo: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
getCooSparseOrBuilder() - Method in interface org.tensorflow.proto.framework.TensorInfoOrBuilder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
getCost() - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost.Builder: Aggregated cost value.
getCost() - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost: Aggregated cost value.
getCost() - Method in interface org.tensorflow.proto.framework.CostGraphDef.AggregatedCostOrBuilder: Aggregated cost value.
getCost(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCost(int) - Method in class org.tensorflow.proto.framework.CostGraphDef: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCost(int) - Method in interface org.tensorflow.proto.framework.CostGraphDefOrBuilder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCostBuilder(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCostBuilderList() - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCostCount() - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCostCount() - Method in class org.tensorflow.proto.framework.CostGraphDef: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCostCount() - Method in interface org.tensorflow.proto.framework.CostGraphDefOrBuilder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCostGraph() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: The cost graph for the computation defined by the run call.
getCostGraph() - Method in class org.tensorflow.proto.framework.RunMetadata: The cost graph for the computation defined by the run call.
getCostGraph() - Method in interface org.tensorflow.proto.framework.RunMetadataOrBuilder: The cost graph for the computation defined by the run call.
getCostGraphBuilder() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: The cost graph for the computation defined by the run call.
getCostGraphOrBuilder() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: The cost graph for the computation defined by the run call.
getCostGraphOrBuilder() - Method in class org.tensorflow.proto.framework.RunMetadata: The cost graph for the computation defined by the run call.
getCostGraphOrBuilder() - Method in interface org.tensorflow.proto.framework.RunMetadataOrBuilder: The cost graph for the computation defined by the run call.
getCostList() - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCostList() - Method in class org.tensorflow.proto.framework.CostGraphDef: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCostList() - Method in interface org.tensorflow.proto.framework.CostGraphDefOrBuilder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCostOrBuilder(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCostOrBuilder(int) - Method in class org.tensorflow.proto.framework.CostGraphDef: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCostOrBuilder(int) - Method in interface org.tensorflow.proto.framework.CostGraphDefOrBuilder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCostOrBuilderList() - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCostOrBuilderList() - Method in class org.tensorflow.proto.framework.CostGraphDef: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCostOrBuilderList() - Method in interface org.tensorflow.proto.framework.CostGraphDefOrBuilder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCpuBudget() - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder: int32 cpu_budget = 2;
getCpuBudget() - Method in class org.tensorflow.proto.data.AutotuneOptions: int32 cpu_budget = 2;
getCpuBudget() - Method in interface org.tensorflow.proto.data.AutotuneOptionsOrBuilder: int32 cpu_budget = 2;
getCpuBudget() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder: Number of available logical threads.
getCpuBudget() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams: Number of available logical threads.
getCpuBudget() - Method in interface org.tensorflow.proto.data.model.ModelProto.OptimizationParamsOrBuilder: Number of available logical threads.
getCpuGlobalJit() - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder: CPU code will be autoclustered only if global_jit_level >= ON_1 and either: - this flag is true, or - TF_XLA_FLAGS contains --tf_xla_cpu_global_jit=true.
getCpuGlobalJit() - Method in class org.tensorflow.proto.framework.OptimizerOptions: CPU code will be autoclustered only if global_jit_level >= ON_1 and either: - this flag is true, or - TF_XLA_FLAGS contains --tf_xla_cpu_global_jit=true.
getCpuGlobalJit() - Method in interface org.tensorflow.proto.framework.OptimizerOptionsOrBuilder: CPU code will be autoclustered only if global_jit_level >= ON_1 and either: - this flag is true, or - TF_XLA_FLAGS contains --tf_xla_cpu_global_jit=true.
getCpuGovernor() - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder: What kind of cpu scaling is enabled on the host.
getCpuGovernor() - Method in class org.tensorflow.proto.util.testlog.CPUInfo: What kind of cpu scaling is enabled on the host.
getCpuGovernor() - Method in interface org.tensorflow.proto.util.testlog.CPUInfoOrBuilder: What kind of cpu scaling is enabled on the host.
getCpuGovernorBytes() - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder: What kind of cpu scaling is enabled on the host.
getCpuGovernorBytes() - Method in class org.tensorflow.proto.util.testlog.CPUInfo: What kind of cpu scaling is enabled on the host.
getCpuGovernorBytes() - Method in interface org.tensorflow.proto.util.testlog.CPUInfoOrBuilder: What kind of cpu scaling is enabled on the host.
getCpuInfo() - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder: Additional cpu information.
getCpuInfo() - Method in class org.tensorflow.proto.util.testlog.CPUInfo: Additional cpu information.
getCpuInfo() - Method in interface org.tensorflow.proto.util.testlog.CPUInfoOrBuilder: Additional cpu information.
getCpuInfo() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: CPU Information.
getCpuInfo() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration: CPU Information.
getCpuInfo() - Method in interface org.tensorflow.proto.util.testlog.MachineConfigurationOrBuilder: CPU Information.
getCpuInfoBuilder() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: CPU Information.
getCpuInfoBytes() - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder: Additional cpu information.
getCpuInfoBytes() - Method in class org.tensorflow.proto.util.testlog.CPUInfo: Additional cpu information.
getCpuInfoBytes() - Method in interface org.tensorflow.proto.util.testlog.CPUInfoOrBuilder: Additional cpu information.
getCpuInfoOrBuilder() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: CPU Information.
getCpuInfoOrBuilder() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration: CPU Information.
getCpuInfoOrBuilder() - Method in interface org.tensorflow.proto.util.testlog.MachineConfigurationOrBuilder: CPU Information.
getCpuLayoutConversion() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: CPU Conversion settings between NHCW and NCHW.
getCpuLayoutConversion() - Method in class org.tensorflow.proto.framework.RewriterConfig: CPU Conversion settings between NHCW and NCHW.
getCpuLayoutConversion() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: CPU Conversion settings between NHCW and NCHW.
getCpuLayoutConversionValue() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: CPU Conversion settings between NHCW and NCHW.
getCpuLayoutConversionValue() - Method in class org.tensorflow.proto.framework.RewriterConfig: CPU Conversion settings between NHCW and NCHW.
getCpuLayoutConversionValue() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: CPU Conversion settings between NHCW and NCHW.
getCpuTime() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Total cpu time used for all iterations (in seconds)
getCpuTime() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry: Total cpu time used for all iterations (in seconds)
getCpuTime() - Method in interface org.tensorflow.proto.util.testlog.BenchmarkEntryOrBuilder: Total cpu time used for all iterations (in seconds)
getCrc32C() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: The CRC32C checksum of the tensor bytes.
getCrc32C() - Method in class org.tensorflow.proto.util.BundleEntryProto: The CRC32C checksum of the tensor bytes.
getCrc32C() - Method in interface org.tensorflow.proto.util.BundleEntryProtoOrBuilder: The CRC32C checksum of the tensor bytes.
getCreationTimestamp() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: Time when we started creating this snapshot.
getCreationTimestamp() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord: Time when we started creating this snapshot.
getCreationTimestamp() - Method in interface org.tensorflow.proto.data.experimental.SnapshotMetadataRecordOrBuilder: Time when we started creating this snapshot.
getCtxtCase() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder
getCtxtCase() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef
getCtxtCase() - Method in interface org.tensorflow.proto.framework.ControlFlowContextDefOrBuilder
getCurrentWork() - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder: bytes current_work = 4;
getCurrentWork() - Method in class org.tensorflow.proto.framework.ReaderBaseState: bytes current_work = 4;
getCurrentWork() - Method in interface org.tensorflow.proto.framework.ReaderBaseStateOrBuilder: bytes current_work = 4;
getCustomOptimizers(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
getCustomOptimizers(int) - Method in class org.tensorflow.proto.framework.RewriterConfig: list of CustomGraphOptimizers to apply.
getCustomOptimizers(int) - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: list of CustomGraphOptimizers to apply.
getCustomOptimizersBuilder(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
getCustomOptimizersBuilderList() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
getCustomOptimizersCount() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
getCustomOptimizersCount() - Method in class org.tensorflow.proto.framework.RewriterConfig: list of CustomGraphOptimizers to apply.
getCustomOptimizersCount() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: list of CustomGraphOptimizers to apply.
getCustomOptimizersList() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
getCustomOptimizersList() - Method in class org.tensorflow.proto.framework.RewriterConfig: list of CustomGraphOptimizers to apply.
getCustomOptimizersList() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: list of CustomGraphOptimizers to apply.
getCustomOptimizersOrBuilder(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
getCustomOptimizersOrBuilder(int) - Method in class org.tensorflow.proto.framework.RewriterConfig: list of CustomGraphOptimizers to apply.
getCustomOptimizersOrBuilder(int) - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: list of CustomGraphOptimizers to apply.
getCustomOptimizersOrBuilderList() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
getCustomOptimizersOrBuilderList() - Method in class org.tensorflow.proto.framework.RewriterConfig: list of CustomGraphOptimizers to apply.
getCustomOptimizersOrBuilderList() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: list of CustomGraphOptimizers to apply.
getData() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder: bytes data = 4;
getData() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo: bytes data = 4;
getData() - Method in interface org.tensorflow.proto.framework.GraphTransferConstNodeInfoOrBuilder: bytes data = 4;
getData() - Method in class org.tensorflow.proto.util.SavedSlice.Builder: The raw data of the slice is stored as a TensorProto.
getData() - Method in class org.tensorflow.proto.util.SavedSlice: The raw data of the slice is stored as a TensorProto.
getData() - Method in interface org.tensorflow.proto.util.SavedSliceOrBuilder: The raw data of the slice is stored as a TensorProto.
getData() - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder: This exists in all but the first item of each checkpoint file.
getData() - Method in class org.tensorflow.proto.util.SavedTensorSlices: This exists in all but the first item of each checkpoint file.
getData() - Method in interface org.tensorflow.proto.util.SavedTensorSlicesOrBuilder: This exists in all but the first item of each checkpoint file.
getDataBuilder() - Method in class org.tensorflow.proto.util.SavedSlice.Builder: The raw data of the slice is stored as a TensorProto.
getDataBuilder() - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder: This exists in all but the first item of each checkpoint file.
getDataCase() - Method in class org.tensorflow.proto.profiler.XEvent.Builder
getDataCase() - Method in class org.tensorflow.proto.profiler.XEvent
getDataCase() - Method in interface org.tensorflow.proto.profiler.XEventOrBuilder
getDataClass() - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder: Class of data stored in this time series.
getDataClass() - Method in class org.tensorflow.proto.framework.SummaryMetadata: Class of data stored in this time series.
getDataClass() - Method in interface org.tensorflow.proto.framework.SummaryMetadataOrBuilder: Class of data stored in this time series.
getDataClassValue() - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder: Class of data stored in this time series.
getDataClassValue() - Method in class org.tensorflow.proto.framework.SummaryMetadata: Class of data stored in this time series.
getDataClassValue() - Method in interface org.tensorflow.proto.framework.SummaryMetadataOrBuilder: Class of data stored in this time series.
getDataOrBuilder() - Method in class org.tensorflow.proto.util.SavedSlice.Builder: The raw data of the slice is stored as a TensorProto.
getDataOrBuilder() - Method in class org.tensorflow.proto.util.SavedSlice: The raw data of the slice is stored as a TensorProto.
getDataOrBuilder() - Method in interface org.tensorflow.proto.util.SavedSliceOrBuilder: The raw data of the slice is stored as a TensorProto.
getDataOrBuilder() - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder: This exists in all but the first item of each checkpoint file.
getDataOrBuilder() - Method in class org.tensorflow.proto.util.SavedTensorSlices: This exists in all but the first item of each checkpoint file.
getDataOrBuilder() - Method in interface org.tensorflow.proto.util.SavedTensorSlicesOrBuilder: This exists in all but the first item of each checkpoint file.
getDataTransferAddress() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The data transfer address of the worker server.
getDataTransferAddress() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: The data transfer address of the worker server.
getDataTransferAddress() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: The data transfer address of the worker server.
getDataTransferAddressBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The data transfer address of the worker server.
getDataTransferAddressBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: The data transfer address of the worker server.
getDataTransferAddressBytes() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: The data transfer address of the worker server.
getDataTransferProtocol() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The protocol for the worker to use when transferring data to clients.
getDataTransferProtocol() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: The protocol for the worker to use when transferring data to clients.
getDataTransferProtocol() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: The protocol for the worker to use when transferring data to clients.
getDataTransferProtocolBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The protocol for the worker to use when transferring data to clients.
getDataTransferProtocolBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: The protocol for the worker to use when transferring data to clients.
getDataTransferProtocolBytes() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: The protocol for the worker to use when transferring data to clients.
getDcomplexVal(int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_COMPLEX128.
getDcomplexVal(int) - Method in class org.tensorflow.proto.framework.TensorProto: DT_COMPLEX128.
getDcomplexVal(int) - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_COMPLEX128.
getDcomplexValCount() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_COMPLEX128.
getDcomplexValCount() - Method in class org.tensorflow.proto.framework.TensorProto: DT_COMPLEX128.
getDcomplexValCount() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_COMPLEX128.
getDcomplexValList() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_COMPLEX128.
getDcomplexValList() - Method in class org.tensorflow.proto.framework.TensorProto: DT_COMPLEX128.
getDcomplexValList() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_COMPLEX128.
getDebuggedDevice() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: A device on which debugger-instrumented ops and/or tensors reside.
getDebuggedDevice() - Method in class org.tensorflow.proto.util.DebugEvent: A device on which debugger-instrumented ops and/or tensors reside.
getDebuggedDevice() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder: A device on which debugger-instrumented ops and/or tensors reside.
getDebuggedDeviceBuilder() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: A device on which debugger-instrumented ops and/or tensors reside.
getDebuggedDeviceOrBuilder() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: A device on which debugger-instrumented ops and/or tensors reside.
getDebuggedDeviceOrBuilder() - Method in class org.tensorflow.proto.util.DebugEvent: A device on which debugger-instrumented ops and/or tensors reside.
getDebuggedDeviceOrBuilder() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder: A device on which debugger-instrumented ops and/or tensors reside.
getDebuggedGraph() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Information about a debugged graph.
getDebuggedGraph() - Method in class org.tensorflow.proto.util.DebugEvent: Information about a debugged graph.
getDebuggedGraph() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder: Information about a debugged graph.
getDebuggedGraphBuilder() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Information about a debugged graph.
getDebuggedGraphOrBuilder() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Information about a debugged graph.
getDebuggedGraphOrBuilder() - Method in class org.tensorflow.proto.util.DebugEvent: Information about a debugged graph.
getDebuggedGraphOrBuilder() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder: Information about a debugged graph.
getDebugMetadata() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Metadata related to this debugging data.
getDebugMetadata() - Method in class org.tensorflow.proto.util.DebugEvent: Metadata related to this debugging data.
getDebugMetadata() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder: Metadata related to this debugging data.
getDebugMetadataBuilder() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Metadata related to this debugging data.
getDebugMetadataOrBuilder() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Metadata related to this debugging data.
getDebugMetadataOrBuilder() - Method in class org.tensorflow.proto.util.DebugEvent: Metadata related to this debugging data.
getDebugMetadataOrBuilder() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder: Metadata related to this debugging data.
getDebugOps(int) - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: Name(s) of the debugging op(s).
getDebugOps(int) - Method in class org.tensorflow.proto.framework.DebugTensorWatch: Name(s) of the debugging op(s).
getDebugOps(int) - Method in interface org.tensorflow.proto.framework.DebugTensorWatchOrBuilder: Name(s) of the debugging op(s).
getDebugOpsBytes(int) - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: Name(s) of the debugging op(s).
getDebugOpsBytes(int) - Method in class org.tensorflow.proto.framework.DebugTensorWatch: Name(s) of the debugging op(s).
getDebugOpsBytes(int) - Method in interface org.tensorflow.proto.framework.DebugTensorWatchOrBuilder: Name(s) of the debugging op(s).
getDebugOpsCount() - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: Name(s) of the debugging op(s).
getDebugOpsCount() - Method in class org.tensorflow.proto.framework.DebugTensorWatch: Name(s) of the debugging op(s).
getDebugOpsCount() - Method in interface org.tensorflow.proto.framework.DebugTensorWatchOrBuilder: Name(s) of the debugging op(s).
getDebugOpsList() - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: Name(s) of the debugging op(s).
getDebugOpsList() - Method in class org.tensorflow.proto.framework.DebugTensorWatch: Name(s) of the debugging op(s).
getDebugOpsList() - Method in interface org.tensorflow.proto.framework.DebugTensorWatchOrBuilder: Name(s) of the debugging op(s).
getDebugOptions() - Method in class org.tensorflow.proto.framework.RunOptions.Builder: EXPERIMENTAL.
getDebugOptions() - Method in class org.tensorflow.proto.framework.RunOptions: EXPERIMENTAL.
getDebugOptions() - Method in interface org.tensorflow.proto.framework.RunOptionsOrBuilder: EXPERIMENTAL.
getDebugOptionsBuilder() - Method in class org.tensorflow.proto.framework.RunOptions.Builder: EXPERIMENTAL.
getDebugOptionsOrBuilder() - Method in class org.tensorflow.proto.framework.RunOptions.Builder: EXPERIMENTAL.
getDebugOptionsOrBuilder() - Method in class org.tensorflow.proto.framework.RunOptions: EXPERIMENTAL.
getDebugOptionsOrBuilder() - Method in interface org.tensorflow.proto.framework.RunOptionsOrBuilder: EXPERIMENTAL.
getDebugStripper() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Strips debug-related nodes from the graph (off by default).
getDebugStripper() - Method in class org.tensorflow.proto.framework.RewriterConfig: Strips debug-related nodes from the graph (off by default).
getDebugStripper() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Strips debug-related nodes from the graph (off by default).
getDebugStripperValue() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Strips debug-related nodes from the graph (off by default).
getDebugStripperValue() - Method in class org.tensorflow.proto.framework.RewriterConfig: Strips debug-related nodes from the graph (off by default).
getDebugStripperValue() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Strips debug-related nodes from the graph (off by default).
getDebugTensorWatchOpts(int) - Method in class org.tensorflow.proto.framework.DebugOptions.Builder: Debugging options
getDebugTensorWatchOpts(int) - Method in class org.tensorflow.proto.framework.DebugOptions: Debugging options
getDebugTensorWatchOpts(int) - Method in interface org.tensorflow.proto.framework.DebugOptionsOrBuilder: Debugging options
getDebugTensorWatchOptsBuilder(int) - Method in class org.tensorflow.proto.framework.DebugOptions.Builder: Debugging options
getDebugTensorWatchOptsBuilderList() - Method in class org.tensorflow.proto.framework.DebugOptions.Builder: Debugging options
getDebugTensorWatchOptsCount() - Method in class org.tensorflow.proto.framework.DebugOptions.Builder: Debugging options
getDebugTensorWatchOptsCount() - Method in class org.tensorflow.proto.framework.DebugOptions: Debugging options
getDebugTensorWatchOptsCount() - Method in interface org.tensorflow.proto.framework.DebugOptionsOrBuilder: Debugging options
getDebugTensorWatchOptsList() - Method in class org.tensorflow.proto.framework.DebugOptions.Builder: Debugging options
getDebugTensorWatchOptsList() - Method in class org.tensorflow.proto.framework.DebugOptions: Debugging options
getDebugTensorWatchOptsList() - Method in interface org.tensorflow.proto.framework.DebugOptionsOrBuilder: Debugging options
getDebugTensorWatchOptsOrBuilder(int) - Method in class org.tensorflow.proto.framework.DebugOptions.Builder: Debugging options
getDebugTensorWatchOptsOrBuilder(int) - Method in class org.tensorflow.proto.framework.DebugOptions: Debugging options
getDebugTensorWatchOptsOrBuilder(int) - Method in interface org.tensorflow.proto.framework.DebugOptionsOrBuilder: Debugging options
getDebugTensorWatchOptsOrBuilderList() - Method in class org.tensorflow.proto.framework.DebugOptions.Builder: Debugging options
getDebugTensorWatchOptsOrBuilderList() - Method in class org.tensorflow.proto.framework.DebugOptions: Debugging options
getDebugTensorWatchOptsOrBuilderList() - Method in interface org.tensorflow.proto.framework.DebugOptionsOrBuilder: Debugging options
getDebugUrls(int) - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: URL(s) for debug targets(s).
getDebugUrls(int) - Method in class org.tensorflow.proto.framework.DebugTensorWatch: URL(s) for debug targets(s).
getDebugUrls(int) - Method in interface org.tensorflow.proto.framework.DebugTensorWatchOrBuilder: URL(s) for debug targets(s).
getDebugUrlsBytes(int) - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: URL(s) for debug targets(s).
getDebugUrlsBytes(int) - Method in class org.tensorflow.proto.framework.DebugTensorWatch: URL(s) for debug targets(s).
getDebugUrlsBytes(int) - Method in interface org.tensorflow.proto.framework.DebugTensorWatchOrBuilder: URL(s) for debug targets(s).
getDebugUrlsCount() - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: URL(s) for debug targets(s).
getDebugUrlsCount() - Method in class org.tensorflow.proto.framework.DebugTensorWatch: URL(s) for debug targets(s).
getDebugUrlsCount() - Method in interface org.tensorflow.proto.framework.DebugTensorWatchOrBuilder: URL(s) for debug targets(s).
getDebugUrlsList() - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: URL(s) for debug targets(s).
getDebugUrlsList() - Method in class org.tensorflow.proto.framework.DebugTensorWatch: URL(s) for debug targets(s).
getDebugUrlsList() - Method in interface org.tensorflow.proto.framework.DebugTensorWatchOrBuilder: URL(s) for debug targets(s).
getDefault() - Static method in class org.tensorflow.EagerSession: Returns the default eager session
getDefaultInstance() - Static method in class org.tensorflow.proto.data.AutotuneOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
getDefaultInstance() - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
getDefaultInstance() - Static method in class org.tensorflow.proto.data.DistributeOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
getDefaultInstance() - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
getDefaultInstance() - Static method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
getDefaultInstance() - Static method in class org.tensorflow.proto.data.experimental.SnapshotRecord
getDefaultInstance() - Static method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
getDefaultInstance() - Static method in class org.tensorflow.proto.data.experimental.TensorMetadata
getDefaultInstance() - Static method in class org.tensorflow.proto.data.model.ModelProto
getDefaultInstance() - Static method in class org.tensorflow.proto.data.model.ModelProto.Node
getDefaultInstance() - Static method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
getDefaultInstance() - Static method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
getDefaultInstance() - Static method in class org.tensorflow.proto.data.OptimizationOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.data.Options
getDefaultInstance() - Static method in class org.tensorflow.proto.data.ThreadingOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.distruntime.ClusterDef
getDefaultInstance() - Static method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
getDefaultInstance() - Static method in class org.tensorflow.proto.distruntime.JobDef
getDefaultInstance() - Static method in class org.tensorflow.proto.distruntime.JobDeviceFilters
getDefaultInstance() - Static method in class org.tensorflow.proto.distruntime.ServerDef
getDefaultInstance() - Static method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
getDefaultInstance() - Static method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
getDefaultInstance() - Static method in class org.tensorflow.proto.example.BytesList
getDefaultInstance() - Static method in class org.tensorflow.proto.example.Example
getDefaultInstance() - Static method in class org.tensorflow.proto.example.ExampleParserConfiguration
getDefaultInstance() - Static method in class org.tensorflow.proto.example.Feature
getDefaultInstance() - Static method in class org.tensorflow.proto.example.FeatureConfiguration
getDefaultInstance() - Static method in class org.tensorflow.proto.example.FeatureList
getDefaultInstance() - Static method in class org.tensorflow.proto.example.FeatureLists
getDefaultInstance() - Static method in class org.tensorflow.proto.example.Features
getDefaultInstance() - Static method in class org.tensorflow.proto.example.FixedLenFeatureProto
getDefaultInstance() - Static method in class org.tensorflow.proto.example.FloatList
getDefaultInstance() - Static method in class org.tensorflow.proto.example.Int64List
getDefaultInstance() - Static method in class org.tensorflow.proto.example.SequenceExample
getDefaultInstance() - Static method in class org.tensorflow.proto.example.VarLenFeatureProto
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.AllocationDescription
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.AllocationRecord
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.ApiDef.Arg
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.ApiDef.Attr
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.ApiDef.Endpoint
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.ApiDef
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.ApiDefs
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.AssetFileDef
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.AttrValue
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.AttrValue.ListValue
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.AutoParallelOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.CallableOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.CapturedTensor
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.CollectionDef.AnyList
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.CollectionDef.BytesList
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.CollectionDef.FloatList
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.CollectionDef
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.CollectionDef.Int64List
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.CollectionDef.NodeList
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.CondContextDef
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.ConfigProto.Experimental
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.ConfigProto
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.ControlFlowContextDef
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.CostGraphDef
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.DebuggedSourceFile
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.DebuggedSourceFiles
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.DebugOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.DebugTensorWatch
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.DeviceAttributes
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.DeviceLocality
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.DeviceProperties
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.DeviceStepStats
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.DictValue
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.FullTypeDef
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.FunctionDef
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.FunctionDefLibrary
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.FunctionSpec
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.GPUOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.GradientDef
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.GraphDebugInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.GraphDef
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.GraphOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.GraphTransferInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInput
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.HistogramProto
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.InterconnectLink
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.KernelDef
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.KernelList
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.ListValue
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.LocalLinks
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.LogNormalDistribution
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.MemoryLogStep
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.MemoryStats
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.MetaGraphDef
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.NameAttrList
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.NamedDevice
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.NamedTensorProto
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.NamedTupleValue
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.NodeDef
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.NodeExecStats
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.NodeOutput
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.NoneValue
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.NormalDistribution
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.OpDef.ArgDef
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.OpDef.AttrDef
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.OpDef
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.OpDeprecation
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.OpInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.OpList
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.OpPerformance
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.OpPerformanceList
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.OptimizerOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.PairValue
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.QueueRunnerDef
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.ReaderBaseState
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.RegisteredGradient
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.RemoteTensorHandle
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.ResourceHandleProto
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.RewriterConfig
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.RPCOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.RunMetadata
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.RunOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.SaveableObject
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.SavedAsset
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.SavedConcreteFunction
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.SavedConstant
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.SavedFunction
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.SavedModel
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.SavedObject
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.SavedObjectGraph
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.SavedResource
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.SavedUserObject
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.SavedVariable
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.SaveSliceInfoDef
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.SessionInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.SessionMetadata
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.SignatureDef
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.Status.DerivedStatus
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.StepStats
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.StructuredValue
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.Summary.Audio
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.Summary
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.Summary.Image
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.Summary.Value
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.SummaryDescription
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.SummaryMetadata
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.TensorConnection
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.TensorDescription
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.TensorInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.TensorProto
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.TensorShapeProto
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.TensorSliceProto
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.TensorSpecProto
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.TupleValue
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.TypeSpecProto
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.ValuesDef
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.VariableDef
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.VariantTensorDataProto
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.VerifierConfig
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.VersionDef
getDefaultInstance() - Static method in class org.tensorflow.proto.framework.WhileContextDef
getDefaultInstance() - Static method in class org.tensorflow.proto.profiler.ProfileOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.profiler.XEvent
getDefaultInstance() - Static method in class org.tensorflow.proto.profiler.XEventMetadata
getDefaultInstance() - Static method in class org.tensorflow.proto.profiler.XLine
getDefaultInstance() - Static method in class org.tensorflow.proto.profiler.XPlane
getDefaultInstance() - Static method in class org.tensorflow.proto.profiler.XSpace
getDefaultInstance() - Static method in class org.tensorflow.proto.profiler.XStat
getDefaultInstance() - Static method in class org.tensorflow.proto.profiler.XStatMetadata
getDefaultInstance() - Static method in class org.tensorflow.proto.util.BinSummary
getDefaultInstance() - Static method in class org.tensorflow.proto.util.BundleEntryProto
getDefaultInstance() - Static method in class org.tensorflow.proto.util.BundleHeaderProto
getDefaultInstance() - Static method in class org.tensorflow.proto.util.CodeLocation
getDefaultInstance() - Static method in class org.tensorflow.proto.util.DebugEvent
getDefaultInstance() - Static method in class org.tensorflow.proto.util.DebuggedDevice
getDefaultInstance() - Static method in class org.tensorflow.proto.util.DebuggedGraph
getDefaultInstance() - Static method in class org.tensorflow.proto.util.DebugMetadata
getDefaultInstance() - Static method in class org.tensorflow.proto.util.Event
getDefaultInstance() - Static method in class org.tensorflow.proto.util.Execution
getDefaultInstance() - Static method in class org.tensorflow.proto.util.GraphExecutionTrace
getDefaultInstance() - Static method in class org.tensorflow.proto.util.GraphOpCreation
getDefaultInstance() - Static method in class org.tensorflow.proto.util.LogMessage: Deprecated.
getDefaultInstance() - Static method in class org.tensorflow.proto.util.MemAllocatorStats
getDefaultInstance() - Static method in class org.tensorflow.proto.util.MemChunk
getDefaultInstance() - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
getDefaultInstance() - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
getDefaultInstance() - Static method in class org.tensorflow.proto.util.MemoryDump
getDefaultInstance() - Static method in class org.tensorflow.proto.util.RequestedExitCode
getDefaultInstance() - Static method in class org.tensorflow.proto.util.SavedSlice
getDefaultInstance() - Static method in class org.tensorflow.proto.util.SavedSliceMeta
getDefaultInstance() - Static method in class org.tensorflow.proto.util.SavedTensorSliceMeta
getDefaultInstance() - Static method in class org.tensorflow.proto.util.SavedTensorSlices
getDefaultInstance() - Static method in class org.tensorflow.proto.util.SaverDef
getDefaultInstance() - Static method in class org.tensorflow.proto.util.SessionLog
getDefaultInstance() - Static method in class org.tensorflow.proto.util.SnapShot
getDefaultInstance() - Static method in class org.tensorflow.proto.util.SourceFile
getDefaultInstance() - Static method in class org.tensorflow.proto.util.StackFrameWithId
getDefaultInstance() - Static method in class org.tensorflow.proto.util.TaggedRunMetadata
getDefaultInstance() - Static method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
getDefaultInstance() - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
getDefaultInstance() - Static method in class org.tensorflow.proto.util.testlog.BuildConfiguration
getDefaultInstance() - Static method in class org.tensorflow.proto.util.testlog.CommitId
getDefaultInstance() - Static method in class org.tensorflow.proto.util.testlog.CPUInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.util.testlog.EntryValue
getDefaultInstance() - Static method in class org.tensorflow.proto.util.testlog.GPUInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.util.testlog.MachineConfiguration
getDefaultInstance() - Static method in class org.tensorflow.proto.util.testlog.MemoryInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.util.testlog.MetricEntry
getDefaultInstance() - Static method in class org.tensorflow.proto.util.testlog.PlatformInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.util.testlog.RunConfiguration
getDefaultInstance() - Static method in class org.tensorflow.proto.util.testlog.TestResults
getDefaultInstance() - Static method in class org.tensorflow.proto.util.WatchdogConfig
getDefaultInstance() - Static method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
getDefaultInstance() - Static method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.AutotuneOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DistributeOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DistributeOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.experimental.TensorMetadata
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.model.ModelProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.model.ModelProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.model.ModelProto.Node
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.OptimizationOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.Options.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.Options
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.ThreadingOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.ThreadingOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.distruntime.ClusterDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
getDefaultInstanceForType() - Method in class org.tensorflow.proto.distruntime.JobDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.distruntime.JobDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters
getDefaultInstanceForType() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.distruntime.ServerDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
getDefaultInstanceForType() - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
getDefaultInstanceForType() - Method in class org.tensorflow.proto.example.BytesList.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.example.BytesList
getDefaultInstanceForType() - Method in class org.tensorflow.proto.example.Example.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.example.Example
getDefaultInstanceForType() - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.example.ExampleParserConfiguration
getDefaultInstanceForType() - Method in class org.tensorflow.proto.example.Feature.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.example.Feature
getDefaultInstanceForType() - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.example.FeatureConfiguration
getDefaultInstanceForType() - Method in class org.tensorflow.proto.example.FeatureList.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.example.FeatureList
getDefaultInstanceForType() - Method in class org.tensorflow.proto.example.FeatureLists.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.example.FeatureLists
getDefaultInstanceForType() - Method in class org.tensorflow.proto.example.Features.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.example.Features
getDefaultInstanceForType() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.example.FloatList.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.example.FloatList
getDefaultInstanceForType() - Method in class org.tensorflow.proto.example.Int64List.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.example.Int64List
getDefaultInstanceForType() - Method in class org.tensorflow.proto.example.SequenceExample.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.example.SequenceExample
getDefaultInstanceForType() - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.example.VarLenFeatureProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.AllocationDescription
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.AllocationRecord.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.AllocationRecord
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ApiDef.Arg
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ApiDef.Attr
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ApiDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ApiDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ApiDefs.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ApiDefs
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.AssetFileDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.AttrValue.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.AttrValue
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.AutoParallelOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.AutoParallelOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CallableOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CapturedTensor.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CapturedTensor
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CollectionDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CondContextDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ConfigProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CostGraphDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.DebugOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.DebugOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.DebugTensorWatch
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.DeviceAttributes
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.DeviceLocality
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.DeviceProperties
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.DeviceStepStats
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.DictValue.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.DictValue
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.FullTypeDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.FunctionDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.FunctionSpec
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GPUOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GradientDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GradientDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GraphDebugInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GraphDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GraphDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GraphOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GraphTransferInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.HistogramProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.HistogramProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.InterconnectLink
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.KernelDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.KernelDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.KernelList.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.KernelList
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ListValue.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ListValue
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.LocalLinks.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.LocalLinks
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.LogNormalDistribution.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.LogNormalDistribution
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.MemoryLogStep.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.MemoryLogStep
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.MemoryStats.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.MemoryStats
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.MetaGraphDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.NameAttrList.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.NameAttrList
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.NamedDevice.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.NamedDevice
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.NamedTensorProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.NamedTupleValue
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.NodeDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.NodeDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.NodeExecStats
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.NodeOutput.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.NodeOutput
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.NoneValue.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.NoneValue
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.NormalDistribution.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.NormalDistribution
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.OpDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.OpDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.OpDeprecation.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.OpDeprecation
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.OpInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.OpInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.OpList.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.OpList
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.OpPerformance
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.OpPerformanceList
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.OptimizerOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.PairValue.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.PairValue
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.QueueRunnerDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ReaderBaseState
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.RegisteredGradient.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.RegisteredGradient
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ResourceHandleProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.RewriterConfig
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.RPCOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.RPCOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.RunMetadata
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.RunOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.RunOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SaveableObject.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SaveableObject
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SavedAsset.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SavedAsset
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SavedConstant.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SavedConstant
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SavedFunction.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SavedFunction
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SavedModel.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SavedModel
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SavedObject.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SavedObject
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SavedObjectGraph
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SavedResource.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SavedResource
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SavedUserObject
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SavedVariable
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SessionInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SessionInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SessionMetadata.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SessionMetadata
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SignatureDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SignatureDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.Status.DerivedStatus.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.Status.DerivedStatus
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.StepStats.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.StepStats
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.StructuredValue
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.Summary.Audio
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.Summary.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.Summary
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.Summary.Image.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.Summary.Image
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.Summary.Value
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SummaryDescription.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SummaryDescription
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SummaryMetadata
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TensorConnection.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TensorConnection
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TensorDescription.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TensorDescription
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TensorInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TensorProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TensorProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TensorShapeProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TensorSliceProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TensorSpecProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TupleValue.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TupleValue
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.TypeSpecProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ValuesDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.ValuesDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.VariableDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.VariableDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.VerifierConfig.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.VerifierConfig
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.VersionDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.VersionDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.framework.WhileContextDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.ProfileOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.XEvent.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.XEvent
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.XEventMetadata
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.XLine.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.XLine
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.XPlane.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.XPlane
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.XSpace.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.XSpace
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.XStat.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.XStat
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.XStatMetadata
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.BinSummary.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.BinSummary
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.BundleEntryProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.BundleHeaderProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.CodeLocation.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.CodeLocation
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.DebugEvent.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.DebugEvent
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.DebuggedDevice.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.DebuggedDevice
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.DebuggedGraph
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.DebugMetadata.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.DebugMetadata
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.Event.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.Event
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.Execution.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.Execution
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.GraphExecutionTrace
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.GraphOpCreation
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.LogMessage: Deprecated.
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.MemAllocatorStats
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.MemChunk.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.MemChunk
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.MemoryDump.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.MemoryDump
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.RequestedExitCode.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.RequestedExitCode
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.SavedSlice.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.SavedSlice
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.SavedSliceMeta
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.SavedTensorSlices
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.SaverDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.SaverDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.SessionLog.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.SessionLog
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.SnapShot.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.SnapShot
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.SourceFile.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.SourceFile
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.StackFrameWithId
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.TaggedRunMetadata.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.TaggedRunMetadata
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.testlog.CommitId
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.testlog.CPUInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.testlog.EntryValue.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.testlog.EntryValue
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.testlog.GPUInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.testlog.MemoryInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.testlog.MemoryInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.testlog.MetricEntry
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.testlog.TestResults
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.WatchdogConfig.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.WatchdogConfig
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
getDefaultSessionConfig() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The default configuration for sessions that run on this server.
getDefaultSessionConfig() - Method in class org.tensorflow.proto.distruntime.ServerDef: The default configuration for sessions that run on this server.
getDefaultSessionConfig() - Method in interface org.tensorflow.proto.distruntime.ServerDefOrBuilder: The default configuration for sessions that run on this server.
getDefaultSessionConfigBuilder() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The default configuration for sessions that run on this server.
getDefaultSessionConfigOrBuilder() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The default configuration for sessions that run on this server.
getDefaultSessionConfigOrBuilder() - Method in class org.tensorflow.proto.distruntime.ServerDef: The default configuration for sessions that run on this server.
getDefaultSessionConfigOrBuilder() - Method in interface org.tensorflow.proto.distruntime.ServerDefOrBuilder: The default configuration for sessions that run on this server.
getDefaultValue() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder: .tensorflow.TensorProto default_value = 3;
getDefaultValue() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto: .tensorflow.TensorProto default_value = 3;
getDefaultValue() - Method in interface org.tensorflow.proto.example.FixedLenFeatureProtoOrBuilder: .tensorflow.TensorProto default_value = 3;
getDefaultValue() - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder: Specify a new default value to use for this attr.
getDefaultValue() - Method in class org.tensorflow.proto.framework.ApiDef.Attr: Specify a new default value to use for this attr.
getDefaultValue() - Method in interface org.tensorflow.proto.framework.ApiDef.AttrOrBuilder: Specify a new default value to use for this attr.
getDefaultValue() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: A reasonable default for this attribute if the user does not supply a value.
getDefaultValue() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef: A reasonable default for this attribute if the user does not supply a value.
getDefaultValue() - Method in interface org.tensorflow.proto.framework.OpDef.AttrDefOrBuilder: A reasonable default for this attribute if the user does not supply a value.
getDefaultValueBuilder() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder: .tensorflow.TensorProto default_value = 3;
getDefaultValueBuilder() - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder: Specify a new default value to use for this attr.
getDefaultValueBuilder() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: A reasonable default for this attribute if the user does not supply a value.
getDefaultValueOrBuilder() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder: .tensorflow.TensorProto default_value = 3;
getDefaultValueOrBuilder() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto: .tensorflow.TensorProto default_value = 3;
getDefaultValueOrBuilder() - Method in interface org.tensorflow.proto.example.FixedLenFeatureProtoOrBuilder: .tensorflow.TensorProto default_value = 3;
getDefaultValueOrBuilder() - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder: Specify a new default value to use for this attr.
getDefaultValueOrBuilder() - Method in class org.tensorflow.proto.framework.ApiDef.Attr: Specify a new default value to use for this attr.
getDefaultValueOrBuilder() - Method in interface org.tensorflow.proto.framework.ApiDef.AttrOrBuilder: Specify a new default value to use for this attr.
getDefaultValueOrBuilder() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: A reasonable default for this attribute if the user does not supply a value.
getDefaultValueOrBuilder() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef: A reasonable default for this attribute if the user does not supply a value.
getDefaultValueOrBuilder() - Method in interface org.tensorflow.proto.framework.OpDef.AttrDefOrBuilder: A reasonable default for this attribute if the user does not supply a value.
getDeferred() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder: True if the deallocation is queued and will be performed later, e.g.
getDeferred() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation: True if the deallocation is queued and will be performed later, e.g.
getDeferred() - Method in interface org.tensorflow.proto.framework.MemoryLogRawDeallocationOrBuilder: True if the deallocation is queued and will be performed later, e.g.
getDeferredDeletionBytes() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code.
getDeferredDeletionBytes() - Method in class org.tensorflow.proto.framework.GPUOptions: Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code.
getDeferredDeletionBytes() - Method in interface org.tensorflow.proto.framework.GPUOptionsOrBuilder: Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code.
getDefinedName() - Method in class org.tensorflow.ConcreteFunction: Get the name of the function definition.
getDelayMs() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder: Start of profiling is delayed by this much (in milliseconds).
getDelayMs() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions: Start of profiling is delayed by this much (in milliseconds).
getDelayMs() - Method in interface org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptionsOrBuilder: Start of profiling is delayed by this much (in milliseconds).
getDenseShapeTensorName() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder: The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
getDenseShapeTensorName() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse: The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
getDenseShapeTensorName() - Method in interface org.tensorflow.proto.framework.TensorInfo.CooSparseOrBuilder: The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
getDenseShapeTensorNameBytes() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder: The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
getDenseShapeTensorNameBytes() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse: The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
getDenseShapeTensorNameBytes() - Method in interface org.tensorflow.proto.framework.TensorInfo.CooSparseOrBuilder: The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
getDependencyOptimization() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Control dependency optimizations (default is ON).
getDependencyOptimization() - Method in class org.tensorflow.proto.framework.RewriterConfig: Control dependency optimizations (default is ON).
getDependencyOptimization() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Control dependency optimizations (default is ON).
getDependencyOptimizationValue() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Control dependency optimizations (default is ON).
getDependencyOptimizationValue() - Method in class org.tensorflow.proto.framework.RewriterConfig: Control dependency optimizations (default is ON).
getDependencyOptimizationValue() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Control dependency optimizations (default is ON).
getDeprecated() - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder: Set if this endpoint is deprecated.
getDeprecated() - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint: Set if this endpoint is deprecated.
getDeprecated() - Method in interface org.tensorflow.proto.framework.ApiDef.EndpointOrBuilder: Set if this endpoint is deprecated.
getDeprecation() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Optional deprecation based on GraphDef versions.
getDeprecation() - Method in class org.tensorflow.proto.framework.OpDef: Optional deprecation based on GraphDef versions.
getDeprecation() - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: Optional deprecation based on GraphDef versions.
getDeprecationBuilder() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Optional deprecation based on GraphDef versions.
getDeprecationMessage() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: If this op is deprecated, set deprecation message to the message that should be logged when this op is used.
getDeprecationMessage() - Method in class org.tensorflow.proto.framework.ApiDef: If this op is deprecated, set deprecation message to the message that should be logged when this op is used.
getDeprecationMessage() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: If this op is deprecated, set deprecation message to the message that should be logged when this op is used.
getDeprecationMessageBytes() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: If this op is deprecated, set deprecation message to the message that should be logged when this op is used.
getDeprecationMessageBytes() - Method in class org.tensorflow.proto.framework.ApiDef: If this op is deprecated, set deprecation message to the message that should be logged when this op is used.
getDeprecationMessageBytes() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: If this op is deprecated, set deprecation message to the message that should be logged when this op is used.
getDeprecationOrBuilder() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Optional deprecation based on GraphDef versions.
getDeprecationOrBuilder() - Method in class org.tensorflow.proto.framework.OpDef: Optional deprecation based on GraphDef versions.
getDeprecationOrBuilder() - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: Optional deprecation based on GraphDef versions.
getDeprecationVersion() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: Major version when the op will be deleted.
getDeprecationVersion() - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder: Major version when an endpoint will be deleted.
getDeprecationVersion() - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint: Major version when an endpoint will be deleted.
getDeprecationVersion() - Method in interface org.tensorflow.proto.framework.ApiDef.EndpointOrBuilder: Major version when an endpoint will be deleted.
getDeprecationVersion() - Method in class org.tensorflow.proto.framework.ApiDef: Major version when the op will be deleted.
getDeprecationVersion() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: Major version when the op will be deleted.
getDescription() - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder: Note: this will replace any inherited arg doc.
getDescription() - Method in class org.tensorflow.proto.framework.ApiDef.Arg: Note: this will replace any inherited arg doc.
getDescription() - Method in interface org.tensorflow.proto.framework.ApiDef.ArgOrBuilder: Note: this will replace any inherited arg doc.
getDescription() - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder: Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
getDescription() - Method in class org.tensorflow.proto.framework.ApiDef.Attr: Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
getDescription() - Method in interface org.tensorflow.proto.framework.ApiDef.AttrOrBuilder: Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
getDescription() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: Additional, longer human-readable description of what the Op does.
getDescription() - Method in class org.tensorflow.proto.framework.ApiDef: Additional, longer human-readable description of what the Op does.
getDescription() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: Additional, longer human-readable description of what the Op does.
getDescription() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: Human readable description.
getDescription() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef: Human readable description.
getDescription() - Method in interface org.tensorflow.proto.framework.OpDef.ArgDefOrBuilder: Human readable description.
getDescription() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: Human-readable description.
getDescription() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef: Human-readable description.
getDescription() - Method in interface org.tensorflow.proto.framework.OpDef.AttrDefOrBuilder: Human-readable description.
getDescription() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Additional, longer human-readable description of what the Op does.
getDescription() - Method in class org.tensorflow.proto.framework.OpDef: Additional, longer human-readable description of what the Op does.
getDescription() - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: Additional, longer human-readable description of what the Op does.
getDescription() - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder: Description of the stat (might be long).
getDescription() - Method in class org.tensorflow.proto.profiler.XStatMetadata: Description of the stat (might be long).
getDescription() - Method in interface org.tensorflow.proto.profiler.XStatMetadataOrBuilder: Description of the stat (might be long).
getDescriptionBytes() - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder: Note: this will replace any inherited arg doc.
getDescriptionBytes() - Method in class org.tensorflow.proto.framework.ApiDef.Arg: Note: this will replace any inherited arg doc.
getDescriptionBytes() - Method in interface org.tensorflow.proto.framework.ApiDef.ArgOrBuilder: Note: this will replace any inherited arg doc.
getDescriptionBytes() - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder: Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
getDescriptionBytes() - Method in class org.tensorflow.proto.framework.ApiDef.Attr: Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
getDescriptionBytes() - Method in interface org.tensorflow.proto.framework.ApiDef.AttrOrBuilder: Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
getDescriptionBytes() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: Additional, longer human-readable description of what the Op does.
getDescriptionBytes() - Method in class org.tensorflow.proto.framework.ApiDef: Additional, longer human-readable description of what the Op does.
getDescriptionBytes() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: Additional, longer human-readable description of what the Op does.
getDescriptionBytes() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: Human readable description.
getDescriptionBytes() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef: Human readable description.
getDescriptionBytes() - Method in interface org.tensorflow.proto.framework.OpDef.ArgDefOrBuilder: Human readable description.
getDescriptionBytes() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: Human-readable description.
getDescriptionBytes() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef: Human-readable description.
getDescriptionBytes() - Method in interface org.tensorflow.proto.framework.OpDef.AttrDefOrBuilder: Human-readable description.
getDescriptionBytes() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Additional, longer human-readable description of what the Op does.
getDescriptionBytes() - Method in class org.tensorflow.proto.framework.OpDef: Additional, longer human-readable description of what the Op does.
getDescriptionBytes() - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: Additional, longer human-readable description of what the Op does.
getDescriptionBytes() - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder: Description of the stat (might be long).
getDescriptionBytes() - Method in class org.tensorflow.proto.profiler.XStatMetadata: Description of the stat (might be long).
getDescriptionBytes() - Method in interface org.tensorflow.proto.profiler.XStatMetadataOrBuilder: Description of the stat (might be long).
getDescriptionPrefix() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: Modify an existing/inherited description by adding text to the beginning or end.
getDescriptionPrefix() - Method in class org.tensorflow.proto.framework.ApiDef: Modify an existing/inherited description by adding text to the beginning or end.
getDescriptionPrefix() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: Modify an existing/inherited description by adding text to the beginning or end.
getDescriptionPrefixBytes() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: Modify an existing/inherited description by adding text to the beginning or end.
getDescriptionPrefixBytes() - Method in class org.tensorflow.proto.framework.ApiDef: Modify an existing/inherited description by adding text to the beginning or end.
getDescriptionPrefixBytes() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: Modify an existing/inherited description by adding text to the beginning or end.
getDescriptionSuffix() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: string description_suffix = 10;
getDescriptionSuffix() - Method in class org.tensorflow.proto.framework.ApiDef: string description_suffix = 10;
getDescriptionSuffix() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: string description_suffix = 10;
getDescriptionSuffixBytes() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: string description_suffix = 10;
getDescriptionSuffixBytes() - Method in class org.tensorflow.proto.framework.ApiDef: string description_suffix = 10;
getDescriptionSuffixBytes() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: string description_suffix = 10;
getDescriptor() - Static method in enum org.tensorflow.proto.data.AutoShardPolicy
getDescriptor() - Static method in class org.tensorflow.proto.data.AutotuneOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.AutotuneOptions
getDescriptor() - Static method in class org.tensorflow.proto.data.DataService
getDescriptor() - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
getDescriptor() - Static method in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy
getDescriptor() - Static method in class org.tensorflow.proto.data.DatasetMetadata
getDescriptor() - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
getDescriptor() - Static method in class org.tensorflow.proto.data.DatasetOptionsProtos
getDescriptor() - Static method in class org.tensorflow.proto.data.DistributeOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.DistributeOptions
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.SnapshotProtos
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.SnapshotRecord
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.TensorMetadata
getDescriptor() - Static method in enum org.tensorflow.proto.data.ExternalStatePolicy
getDescriptor() - Static method in enum org.tensorflow.proto.data.model.AutotuneAlgorithm
getDescriptor() - Static method in class org.tensorflow.proto.data.model.ModelProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.model.ModelProto
getDescriptor() - Static method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.model.ModelProto.Node
getDescriptor() - Static method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
getDescriptor() - Static method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
getDescriptor() - Static method in class org.tensorflow.proto.data.model.ModelProtos
getDescriptor() - Static method in enum org.tensorflow.proto.data.model.NodeClass
getDescriptor() - Static method in class org.tensorflow.proto.data.OptimizationOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.OptimizationOptions
getDescriptor() - Static method in class org.tensorflow.proto.data.Options.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.Options
getDescriptor() - Static method in class org.tensorflow.proto.data.ThreadingOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.ThreadingOptions
getDescriptor() - Static method in class org.tensorflow.proto.distruntime.ClusterDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.distruntime.ClusterDef
getDescriptor() - Static method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder
getDescriptor() - Static method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
getDescriptor() - Static method in class org.tensorflow.proto.distruntime.ClusterProtos
getDescriptor() - Static method in class org.tensorflow.proto.distruntime.DeviceFiltersProtos
getDescriptor() - Static method in class org.tensorflow.proto.distruntime.JobDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.distruntime.JobDef
getDescriptor() - Static method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder
getDescriptor() - Static method in class org.tensorflow.proto.distruntime.JobDeviceFilters
getDescriptor() - Static method in class org.tensorflow.proto.distruntime.ServerDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.distruntime.ServerDef
getDescriptor() - Static method in class org.tensorflow.proto.distruntime.ServerProtos
getDescriptor() - Static method in class org.tensorflow.proto.distruntime.TaskDeviceFilters.Builder
getDescriptor() - Static method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
getDescriptor() - Static method in class org.tensorflow.proto.distruntime.TransportOptions
getDescriptor() - Static method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra.Builder
getDescriptor() - Static method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
getDescriptor() - Static method in class org.tensorflow.proto.example.BytesList.Builder
getDescriptor() - Static method in class org.tensorflow.proto.example.BytesList
getDescriptor() - Static method in class org.tensorflow.proto.example.Example.Builder
getDescriptor() - Static method in class org.tensorflow.proto.example.Example
getDescriptor() - Static method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder
getDescriptor() - Static method in class org.tensorflow.proto.example.ExampleParserConfiguration
getDescriptor() - Static method in class org.tensorflow.proto.example.ExampleParserConfigurationProtos
getDescriptor() - Static method in class org.tensorflow.proto.example.ExampleProtos
getDescriptor() - Static method in class org.tensorflow.proto.example.Feature.Builder
getDescriptor() - Static method in class org.tensorflow.proto.example.Feature
getDescriptor() - Static method in class org.tensorflow.proto.example.FeatureConfiguration.Builder
getDescriptor() - Static method in class org.tensorflow.proto.example.FeatureConfiguration
getDescriptor() - Static method in class org.tensorflow.proto.example.FeatureList.Builder
getDescriptor() - Static method in class org.tensorflow.proto.example.FeatureList
getDescriptor() - Static method in class org.tensorflow.proto.example.FeatureLists.Builder
getDescriptor() - Static method in class org.tensorflow.proto.example.FeatureLists
getDescriptor() - Static method in class org.tensorflow.proto.example.FeatureProtos
getDescriptor() - Static method in class org.tensorflow.proto.example.Features.Builder
getDescriptor() - Static method in class org.tensorflow.proto.example.Features
getDescriptor() - Static method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.example.FixedLenFeatureProto
getDescriptor() - Static method in class org.tensorflow.proto.example.FloatList.Builder
getDescriptor() - Static method in class org.tensorflow.proto.example.FloatList
getDescriptor() - Static method in class org.tensorflow.proto.example.Int64List.Builder
getDescriptor() - Static method in class org.tensorflow.proto.example.Int64List
getDescriptor() - Static method in class org.tensorflow.proto.example.SequenceExample.Builder
getDescriptor() - Static method in class org.tensorflow.proto.example.SequenceExample
getDescriptor() - Static method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.example.VarLenFeatureProto
getDescriptor() - Static method in class org.tensorflow.proto.framework.AllocationDescription.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.AllocationDescription
getDescriptor() - Static method in class org.tensorflow.proto.framework.AllocationDescriptionProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.AllocationRecord.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.AllocationRecord
getDescriptor() - Static method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
getDescriptor() - Static method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.ApiDef.Arg
getDescriptor() - Static method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.ApiDef.Attr
getDescriptor() - Static method in class org.tensorflow.proto.framework.ApiDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.ApiDef.Endpoint
getDescriptor() - Static method in class org.tensorflow.proto.framework.ApiDef
getDescriptor() - Static method in enum org.tensorflow.proto.framework.ApiDef.Visibility
getDescriptor() - Static method in class org.tensorflow.proto.framework.ApiDefProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.ApiDefs.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.ApiDefs
getDescriptor() - Static method in class org.tensorflow.proto.framework.AssetFileDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.AssetFileDef
getDescriptor() - Static method in class org.tensorflow.proto.framework.AttrValue.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.AttrValue
getDescriptor() - Static method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.AttrValue.ListValue
getDescriptor() - Static method in class org.tensorflow.proto.framework.AttrValueProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.AutoParallelOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.AutoParallelOptions
getDescriptor() - Static method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
getDescriptor() - Static method in class org.tensorflow.proto.framework.CallableOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.CallableOptions
getDescriptor() - Static method in class org.tensorflow.proto.framework.CapturedTensor.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.CapturedTensor
getDescriptor() - Static method in enum org.tensorflow.proto.framework.Code
getDescriptor() - Static method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.CollectionDef.AnyList
getDescriptor() - Static method in class org.tensorflow.proto.framework.CollectionDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.CollectionDef.BytesList.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.CollectionDef.BytesList
getDescriptor() - Static method in class org.tensorflow.proto.framework.CollectionDef.FloatList.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.CollectionDef.FloatList
getDescriptor() - Static method in class org.tensorflow.proto.framework.CollectionDef
getDescriptor() - Static method in class org.tensorflow.proto.framework.CollectionDef.Int64List.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.CollectionDef.Int64List
getDescriptor() - Static method in class org.tensorflow.proto.framework.CollectionDef.NodeList.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.CollectionDef.NodeList
getDescriptor() - Static method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
getDescriptor() - Static method in class org.tensorflow.proto.framework.CompositeTensorVariant
getDescriptor() - Static method in class org.tensorflow.proto.framework.CondContextDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.CondContextDef
getDescriptor() - Static method in class org.tensorflow.proto.framework.ConfigProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.ConfigProto.Experimental
getDescriptor() - Static method in enum org.tensorflow.proto.framework.ConfigProto.Experimental.MlirBridgeRollout
getDescriptor() - Static method in class org.tensorflow.proto.framework.ConfigProto
getDescriptor() - Static method in class org.tensorflow.proto.framework.ConfigProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.ControlFlowContextDef
getDescriptor() - Static method in class org.tensorflow.proto.framework.ControlFlowProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
getDescriptor() - Static method in class org.tensorflow.proto.framework.CostGraphDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.CostGraphDef
getDescriptor() - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node
getDescriptor() - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
getDescriptor() - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
getDescriptor() - Static method in class org.tensorflow.proto.framework.CostGraphProtos
getDescriptor() - Static method in enum org.tensorflow.proto.framework.DataClass
getDescriptor() - Static method in enum org.tensorflow.proto.framework.DataType
getDescriptor() - Static method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.DebuggedSourceFile
getDescriptor() - Static method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.DebuggedSourceFiles
getDescriptor() - Static method in class org.tensorflow.proto.framework.DebugOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.DebugOptions
getDescriptor() - Static method in class org.tensorflow.proto.framework.DebugProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.DebugTensorWatch
getDescriptor() - Static method in class org.tensorflow.proto.framework.DeviceAttributes.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.DeviceAttributes
getDescriptor() - Static method in class org.tensorflow.proto.framework.DeviceAttributesProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.DeviceLocality.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.DeviceLocality
getDescriptor() - Static method in class org.tensorflow.proto.framework.DeviceProperties.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.DeviceProperties
getDescriptor() - Static method in class org.tensorflow.proto.framework.DevicePropertiesProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.DeviceStepStats.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.DeviceStepStats
getDescriptor() - Static method in class org.tensorflow.proto.framework.DictValue.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.DictValue
getDescriptor() - Static method in class org.tensorflow.proto.framework.ErrorCodes
getDescriptor() - Static method in class org.tensorflow.proto.framework.ErrorCodesProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.FullTypeDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.FullTypeDef
getDescriptor() - Static method in enum org.tensorflow.proto.framework.FullTypeId
getDescriptor() - Static method in class org.tensorflow.proto.framework.FullTypeProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
getDescriptor() - Static method in class org.tensorflow.proto.framework.FunctionDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.FunctionDef
getDescriptor() - Static method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.FunctionDefLibrary
getDescriptor() - Static method in class org.tensorflow.proto.framework.FunctionProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.FunctionSpec.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.FunctionSpec
getDescriptor() - Static method in enum org.tensorflow.proto.framework.FunctionSpec.JitCompile
getDescriptor() - Static method in class org.tensorflow.proto.framework.GPUOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental
getDescriptor() - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
getDescriptor() - Static method in class org.tensorflow.proto.framework.GPUOptions
getDescriptor() - Static method in class org.tensorflow.proto.framework.GradientDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.GradientDef
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphDebugInfo
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphDebugInfoProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphDef
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphOptions
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder
getDescriptor() - Static method in enum org.tensorflow.proto.framework.GraphTransferInfo.Destination
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphTransferInfo
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphTransferInfoProto
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInput.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInput
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
getDescriptor() - Static method in class org.tensorflow.proto.framework.HistogramProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.HistogramProto
getDescriptor() - Static method in class org.tensorflow.proto.framework.InterconnectLink.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.InterconnectLink
getDescriptor() - Static method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
getDescriptor() - Static method in class org.tensorflow.proto.framework.KernelDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.KernelDef
getDescriptor() - Static method in class org.tensorflow.proto.framework.KernelDefProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.KernelList.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.KernelList
getDescriptor() - Static method in class org.tensorflow.proto.framework.ListValue.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.ListValue
getDescriptor() - Static method in class org.tensorflow.proto.framework.LocalLinks.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.LocalLinks
getDescriptor() - Static method in class org.tensorflow.proto.framework.LogMemoryProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.LogNormalDistribution.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.LogNormalDistribution
getDescriptor() - Static method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
getDescriptor() - Static method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
getDescriptor() - Static method in class org.tensorflow.proto.framework.MemoryLogStep.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.MemoryLogStep
getDescriptor() - Static method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
getDescriptor() - Static method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
getDescriptor() - Static method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
getDescriptor() - Static method in class org.tensorflow.proto.framework.MemoryStats.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.MemoryStats
getDescriptor() - Static method in class org.tensorflow.proto.framework.MetaGraphDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.MetaGraphDef
getDescriptor() - Static method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
getDescriptor() - Static method in class org.tensorflow.proto.framework.MetaGraphProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.NameAttrList.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.NameAttrList
getDescriptor() - Static method in class org.tensorflow.proto.framework.NamedDevice.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.NamedDevice
getDescriptor() - Static method in class org.tensorflow.proto.framework.NamedTensorProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.NamedTensorProto
getDescriptor() - Static method in class org.tensorflow.proto.framework.NamedTensorProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.NamedTupleValue.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.NamedTupleValue
getDescriptor() - Static method in class org.tensorflow.proto.framework.NodeDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
getDescriptor() - Static method in class org.tensorflow.proto.framework.NodeDef
getDescriptor() - Static method in class org.tensorflow.proto.framework.NodeExecStats.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.NodeExecStats
getDescriptor() - Static method in class org.tensorflow.proto.framework.NodeOutput.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.NodeOutput
getDescriptor() - Static method in class org.tensorflow.proto.framework.NodeProto
getDescriptor() - Static method in class org.tensorflow.proto.framework.NoneValue.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.NoneValue
getDescriptor() - Static method in class org.tensorflow.proto.framework.NormalDistribution.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.NormalDistribution
getDescriptor() - Static method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.OpDef.ArgDef
getDescriptor() - Static method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.OpDef.AttrDef
getDescriptor() - Static method in class org.tensorflow.proto.framework.OpDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.OpDef
getDescriptor() - Static method in class org.tensorflow.proto.framework.OpDefProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.OpDeprecation.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.OpDeprecation
getDescriptor() - Static method in class org.tensorflow.proto.framework.OpInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.OpInfo
getDescriptor() - Static method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
getDescriptor() - Static method in class org.tensorflow.proto.framework.OpList.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.OpList
getDescriptor() - Static method in class org.tensorflow.proto.framework.OpPerformance.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.OpPerformance
getDescriptor() - Static method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
getDescriptor() - Static method in class org.tensorflow.proto.framework.OpPerformanceDataProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.OpPerformanceList.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.OpPerformanceList
getDescriptor() - Static method in class org.tensorflow.proto.framework.OptimizerOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.OptimizerOptions
getDescriptor() - Static method in enum org.tensorflow.proto.framework.OptimizerOptions.GlobalJitLevel
getDescriptor() - Static method in enum org.tensorflow.proto.framework.OptimizerOptions.Level
getDescriptor() - Static method in class org.tensorflow.proto.framework.PairValue.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.PairValue
getDescriptor() - Static method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.QueueRunnerDef
getDescriptor() - Static method in class org.tensorflow.proto.framework.QueueRunnerProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.ReaderBaseProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.ReaderBaseState.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.ReaderBaseState
getDescriptor() - Static method in class org.tensorflow.proto.framework.RegisteredGradient.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.RegisteredGradient
getDescriptor() - Static method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.RemoteTensorHandle
getDescriptor() - Static method in class org.tensorflow.proto.framework.RemoteTensorHandleProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
getDescriptor() - Static method in class org.tensorflow.proto.framework.ResourceHandle
getDescriptor() - Static method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
getDescriptor() - Static method in class org.tensorflow.proto.framework.ResourceHandleProto
getDescriptor() - Static method in class org.tensorflow.proto.framework.RewriterConfig.Builder
getDescriptor() - Static method in enum org.tensorflow.proto.framework.RewriterConfig.CpuLayout
getDescriptor() - Static method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
getDescriptor() - Static method in class org.tensorflow.proto.framework.RewriterConfig
getDescriptor() - Static method in enum org.tensorflow.proto.framework.RewriterConfig.MemOptType
getDescriptor() - Static method in enum org.tensorflow.proto.framework.RewriterConfig.NumIterationsType
getDescriptor() - Static method in enum org.tensorflow.proto.framework.RewriterConfig.Toggle
getDescriptor() - Static method in class org.tensorflow.proto.framework.RewriterConfigProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.RPCOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.RPCOptions
getDescriptor() - Static method in class org.tensorflow.proto.framework.RunMetadata.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
getDescriptor() - Static method in class org.tensorflow.proto.framework.RunMetadata
getDescriptor() - Static method in class org.tensorflow.proto.framework.RunOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental
getDescriptor() - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
getDescriptor() - Static method in class org.tensorflow.proto.framework.RunOptions
getDescriptor() - Static method in enum org.tensorflow.proto.framework.RunOptions.TraceLevel
getDescriptor() - Static method in class org.tensorflow.proto.framework.SaveableObject.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.SaveableObject
getDescriptor() - Static method in class org.tensorflow.proto.framework.SavedAsset.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.SavedAsset
getDescriptor() - Static method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
getDescriptor() - Static method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.SavedConcreteFunction
getDescriptor() - Static method in class org.tensorflow.proto.framework.SavedConstant.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.SavedConstant
getDescriptor() - Static method in class org.tensorflow.proto.framework.SavedFunction.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.SavedFunction
getDescriptor() - Static method in class org.tensorflow.proto.framework.SavedModel.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.SavedModel
getDescriptor() - Static method in class org.tensorflow.proto.framework.SavedModelProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.SavedObject.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.SavedObject
getDescriptor() - Static method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.SavedObjectGraph
getDescriptor() - Static method in class org.tensorflow.proto.framework.SavedObjectGraphProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.SavedResource.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.SavedResource
getDescriptor() - Static method in class org.tensorflow.proto.framework.SavedUserObject.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.SavedUserObject
getDescriptor() - Static method in class org.tensorflow.proto.framework.SavedVariable.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.SavedVariable
getDescriptor() - Static method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.SaveSliceInfoDef
getDescriptor() - Static method in class org.tensorflow.proto.framework.ScopedAllocatorOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
getDescriptor() - Static method in class org.tensorflow.proto.framework.SessionInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.SessionInfo
getDescriptor() - Static method in class org.tensorflow.proto.framework.SessionMetadata.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.SessionMetadata
getDescriptor() - Static method in class org.tensorflow.proto.framework.SignatureDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.SignatureDef
getDescriptor() - Static method in class org.tensorflow.proto.framework.Status.DerivedStatus.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.Status.DerivedStatus
getDescriptor() - Static method in class org.tensorflow.proto.framework.Status
getDescriptor() - Static method in class org.tensorflow.proto.framework.StepStats.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.StepStats
getDescriptor() - Static method in class org.tensorflow.proto.framework.StepStatsProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.StructProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.StructuredValue.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.StructuredValue
getDescriptor() - Static method in class org.tensorflow.proto.framework.Summary.Audio.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.Summary.Audio
getDescriptor() - Static method in class org.tensorflow.proto.framework.Summary.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.Summary
getDescriptor() - Static method in class org.tensorflow.proto.framework.Summary.Image.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.Summary.Image
getDescriptor() - Static method in class org.tensorflow.proto.framework.Summary.Value.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.Summary.Value
getDescriptor() - Static method in class org.tensorflow.proto.framework.SummaryDescription.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.SummaryDescription
getDescriptor() - Static method in class org.tensorflow.proto.framework.SummaryMetadata.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.SummaryMetadata
getDescriptor() - Static method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
getDescriptor() - Static method in class org.tensorflow.proto.framework.SummaryProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.TensorConnection.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.TensorConnection
getDescriptor() - Static method in class org.tensorflow.proto.framework.TensorDescription.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.TensorDescription
getDescriptor() - Static method in class org.tensorflow.proto.framework.TensorDescriptionProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.TensorInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
getDescriptor() - Static method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
getDescriptor() - Static method in class org.tensorflow.proto.framework.TensorInfo
getDescriptor() - Static method in class org.tensorflow.proto.framework.TensorProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.TensorProto
getDescriptor() - Static method in class org.tensorflow.proto.framework.TensorProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.TensorShapeProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.TensorShapeProto.Dim.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
getDescriptor() - Static method in class org.tensorflow.proto.framework.TensorShapeProto
getDescriptor() - Static method in class org.tensorflow.proto.framework.TensorShapeProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.TensorSliceProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.TensorSliceProto.Extent.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
getDescriptor() - Static method in class org.tensorflow.proto.framework.TensorSliceProto
getDescriptor() - Static method in class org.tensorflow.proto.framework.TensorSliceProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.TensorSpecProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.TensorSpecProto
getDescriptor() - Static method in class org.tensorflow.proto.framework.ThreadPoolOptionProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
getDescriptor() - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph
getDescriptor() - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
getDescriptor() - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
getDescriptor() - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
getDescriptor() - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
getDescriptor() - Static method in class org.tensorflow.proto.framework.TrackableObjectGraphProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.TupleValue.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.TupleValue
getDescriptor() - Static method in class org.tensorflow.proto.framework.TypeSpecProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.TypeSpecProto
getDescriptor() - Static method in enum org.tensorflow.proto.framework.TypeSpecProto.TypeSpecClass
getDescriptor() - Static method in class org.tensorflow.proto.framework.TypesProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.ValuesDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.ValuesDef
getDescriptor() - Static method in enum org.tensorflow.proto.framework.VariableAggregation
getDescriptor() - Static method in class org.tensorflow.proto.framework.VariableDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.VariableDef
getDescriptor() - Static method in class org.tensorflow.proto.framework.VariableProtos
getDescriptor() - Static method in enum org.tensorflow.proto.framework.VariableSynchronization
getDescriptor() - Static method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.VariantTensorDataProto
getDescriptor() - Static method in class org.tensorflow.proto.framework.VerifierConfig.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.VerifierConfig
getDescriptor() - Static method in enum org.tensorflow.proto.framework.VerifierConfig.Toggle
getDescriptor() - Static method in class org.tensorflow.proto.framework.VerifierConfigProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.VersionDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.VersionDef
getDescriptor() - Static method in class org.tensorflow.proto.framework.VersionsProtos
getDescriptor() - Static method in class org.tensorflow.proto.framework.WhileContextDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.framework.WhileContextDef
getDescriptor() - Static method in class org.tensorflow.proto.profiler.ProfileOptions.Builder
getDescriptor() - Static method in enum org.tensorflow.proto.profiler.ProfileOptions.DeviceType
getDescriptor() - Static method in class org.tensorflow.proto.profiler.ProfileOptions
getDescriptor() - Static method in class org.tensorflow.proto.profiler.ProfilerOptionsProtos
getDescriptor() - Static method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
getDescriptor() - Static method in class org.tensorflow.proto.profiler.XEvent.Builder
getDescriptor() - Static method in class org.tensorflow.proto.profiler.XEvent
getDescriptor() - Static method in class org.tensorflow.proto.profiler.XEventMetadata.Builder
getDescriptor() - Static method in class org.tensorflow.proto.profiler.XEventMetadata
getDescriptor() - Static method in class org.tensorflow.proto.profiler.XLine.Builder
getDescriptor() - Static method in class org.tensorflow.proto.profiler.XLine
getDescriptor() - Static method in class org.tensorflow.proto.profiler.XPlane.Builder
getDescriptor() - Static method in class org.tensorflow.proto.profiler.XPlane
getDescriptor() - Static method in class org.tensorflow.proto.profiler.XPlaneProtos
getDescriptor() - Static method in class org.tensorflow.proto.profiler.XSpace.Builder
getDescriptor() - Static method in class org.tensorflow.proto.profiler.XSpace
getDescriptor() - Static method in class org.tensorflow.proto.profiler.XStat.Builder
getDescriptor() - Static method in class org.tensorflow.proto.profiler.XStat
getDescriptor() - Static method in class org.tensorflow.proto.profiler.XStatMetadata.Builder
getDescriptor() - Static method in class org.tensorflow.proto.profiler.XStatMetadata
getDescriptor() - Static method in class org.tensorflow.proto.util.BfcMemoryMapProtos
getDescriptor() - Static method in class org.tensorflow.proto.util.BinSummary.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.BinSummary
getDescriptor() - Static method in class org.tensorflow.proto.util.BundleEntryProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.BundleEntryProto
getDescriptor() - Static method in class org.tensorflow.proto.util.BundleHeaderProto.Builder
getDescriptor() - Static method in enum org.tensorflow.proto.util.BundleHeaderProto.Endianness
getDescriptor() - Static method in class org.tensorflow.proto.util.BundleHeaderProto
getDescriptor() - Static method in class org.tensorflow.proto.util.CodeLocation.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.CodeLocation
getDescriptor() - Static method in class org.tensorflow.proto.util.DebugEvent.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.DebugEvent
getDescriptor() - Static method in class org.tensorflow.proto.util.DebugEventProtos
getDescriptor() - Static method in class org.tensorflow.proto.util.DebuggedDevice.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.DebuggedDevice
getDescriptor() - Static method in class org.tensorflow.proto.util.DebuggedGraph.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.DebuggedGraph
getDescriptor() - Static method in class org.tensorflow.proto.util.DebugMetadata.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.DebugMetadata
getDescriptor() - Static method in class org.tensorflow.proto.util.Event.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.Event
getDescriptor() - Static method in class org.tensorflow.proto.util.EventProtos
getDescriptor() - Static method in class org.tensorflow.proto.util.Execution.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.Execution
getDescriptor() - Static method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.GraphExecutionTrace
getDescriptor() - Static method in class org.tensorflow.proto.util.GraphOpCreation.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.GraphOpCreation
getDescriptor() - Static method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.
getDescriptor() - Static method in class org.tensorflow.proto.util.LogMessage: Deprecated.
getDescriptor() - Static method in enum org.tensorflow.proto.util.LogMessage.Level: Deprecated.
getDescriptor() - Static method in class org.tensorflow.proto.util.MemAllocatorStats.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.MemAllocatorStats
getDescriptor() - Static method in class org.tensorflow.proto.util.MemChunk.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.MemChunk
getDescriptor() - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
getDescriptor() - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
getDescriptor() - Static method in class org.tensorflow.proto.util.MemmappedFileSystemProtos
getDescriptor() - Static method in class org.tensorflow.proto.util.MemoryDump.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.MemoryDump
getDescriptor() - Static method in class org.tensorflow.proto.util.RequestedExitCode.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.RequestedExitCode
getDescriptor() - Static method in class org.tensorflow.proto.util.SavedSlice.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.SavedSlice
getDescriptor() - Static method in class org.tensorflow.proto.util.SavedSliceMeta.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.SavedSliceMeta
getDescriptor() - Static method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.SavedTensorSliceMeta
getDescriptor() - Static method in class org.tensorflow.proto.util.SavedTensorSliceProtos
getDescriptor() - Static method in class org.tensorflow.proto.util.SavedTensorSlices.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.SavedTensorSlices
getDescriptor() - Static method in class org.tensorflow.proto.util.SaverDef.Builder
getDescriptor() - Static method in enum org.tensorflow.proto.util.SaverDef.CheckpointFormatVersion
getDescriptor() - Static method in class org.tensorflow.proto.util.SaverDef
getDescriptor() - Static method in class org.tensorflow.proto.util.SaverProtos
getDescriptor() - Static method in class org.tensorflow.proto.util.SessionLog.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.SessionLog
getDescriptor() - Static method in enum org.tensorflow.proto.util.SessionLog.SessionStatus
getDescriptor() - Static method in class org.tensorflow.proto.util.SnapShot.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.SnapShot
getDescriptor() - Static method in class org.tensorflow.proto.util.SourceFile.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.SourceFile
getDescriptor() - Static method in class org.tensorflow.proto.util.StackFrameWithId.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.StackFrameWithId
getDescriptor() - Static method in class org.tensorflow.proto.util.TaggedRunMetadata.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.TaggedRunMetadata
getDescriptor() - Static method in class org.tensorflow.proto.util.TensorBundleProtos
getDescriptor() - Static method in enum org.tensorflow.proto.util.TensorDebugMode
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.BuildConfiguration
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.CommitId.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.CommitId
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.CPUInfo
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.EntryValue.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.EntryValue
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.GPUInfo
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.MachineConfiguration
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.MemoryInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.MemoryInfo
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.MetricEntry
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.PlatformInfo
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.RunConfiguration
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.TestLogProtos
getDescriptor() - Static method in enum org.tensorflow.proto.util.testlog.TestResults.BenchmarkType
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.TestResults.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.testlog.TestResults
getDescriptor() - Static method in class org.tensorflow.proto.util.WatchdogConfig.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.WatchdogConfig
getDescriptor() - Static method in enum org.tensorflow.proto.util.WorkerHealth
getDescriptor() - Static method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
getDescriptor() - Static method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder
getDescriptor() - Static method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
getDescriptor() - Static method in enum org.tensorflow.proto.util.WorkerShutdownMode
getDescriptorForType() - Method in enum org.tensorflow.proto.data.AutoShardPolicy
getDescriptorForType() - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy
getDescriptorForType() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.DistributeOptions.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.data.ExternalStatePolicy
getDescriptorForType() - Method in enum org.tensorflow.proto.data.model.AutotuneAlgorithm
getDescriptorForType() - Method in class org.tensorflow.proto.data.model.ModelProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.data.model.NodeClass
getDescriptorForType() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.Options.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.ThreadingOptions.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.distruntime.JobDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.example.BytesList.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.example.Example.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.example.Feature.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.example.FeatureList.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.example.FeatureLists.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.example.Features.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.example.FloatList.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.example.Int64List.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.example.SequenceExample.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.AllocationRecord.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.ApiDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.framework.ApiDef.Visibility
getDescriptorForType() - Method in class org.tensorflow.proto.framework.ApiDefs.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.AttrValue.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.AutoParallelOptions.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.CapturedTensor.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.framework.Code
getDescriptorForType() - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.framework.ConfigProto.Experimental.MlirBridgeRollout
getDescriptorForType() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.framework.DataClass
getDescriptorForType() - Method in enum org.tensorflow.proto.framework.DataType
getDescriptorForType() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.DebugOptions.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.DictValue.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.framework.FullTypeId
getDescriptorForType() - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.framework.FunctionSpec.JitCompile
getDescriptorForType() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.GradientDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.GraphDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.framework.GraphTransferInfo.Destination
getDescriptorForType() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.HistogramProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.KernelDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.KernelList.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.ListValue.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.LocalLinks.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.LogNormalDistribution.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.MemoryLogStep.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.MemoryStats.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.NameAttrList.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.NamedDevice.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.NodeDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.NodeOutput.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.NoneValue.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.NormalDistribution.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.OpDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.OpDeprecation.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.OpInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.OpList.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.framework.OptimizerOptions.GlobalJitLevel
getDescriptorForType() - Method in enum org.tensorflow.proto.framework.OptimizerOptions.Level
getDescriptorForType() - Method in class org.tensorflow.proto.framework.PairValue.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.RegisteredGradient.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.framework.RewriterConfig.CpuLayout
getDescriptorForType() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.framework.RewriterConfig.MemOptType
getDescriptorForType() - Method in enum org.tensorflow.proto.framework.RewriterConfig.NumIterationsType
getDescriptorForType() - Method in enum org.tensorflow.proto.framework.RewriterConfig.Toggle
getDescriptorForType() - Method in class org.tensorflow.proto.framework.RPCOptions.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.RunOptions.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.framework.RunOptions.TraceLevel
getDescriptorForType() - Method in class org.tensorflow.proto.framework.SaveableObject.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.SavedAsset.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.SavedConstant.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.SavedFunction.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.SavedModel.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.SavedObject.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.SavedResource.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.SessionInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.SessionMetadata.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.SignatureDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.Status.DerivedStatus.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.StepStats.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.Summary.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.Summary.Image.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.SummaryDescription.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.TensorConnection.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.TensorDescription.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.TensorProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.TupleValue.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.framework.TypeSpecProto.TypeSpecClass
getDescriptorForType() - Method in class org.tensorflow.proto.framework.ValuesDef.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.framework.VariableAggregation
getDescriptorForType() - Method in class org.tensorflow.proto.framework.VariableDef.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.framework.VariableSynchronization
getDescriptorForType() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.VerifierConfig.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.framework.VerifierConfig.Toggle
getDescriptorForType() - Method in class org.tensorflow.proto.framework.VersionDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.profiler.ProfileOptions.DeviceType
getDescriptorForType() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.profiler.XEvent.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.profiler.XLine.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.profiler.XPlane.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.profiler.XSpace.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.profiler.XStat.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.BinSummary.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.util.BundleHeaderProto.Endianness
getDescriptorForType() - Method in class org.tensorflow.proto.util.CodeLocation.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.DebugEvent.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.DebuggedDevice.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.DebugMetadata.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.Event.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.Execution.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.
getDescriptorForType() - Method in enum org.tensorflow.proto.util.LogMessage.Level: Deprecated.
getDescriptorForType() - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.MemChunk.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.MemoryDump.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.RequestedExitCode.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.SavedSlice.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.SaverDef.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.util.SaverDef.CheckpointFormatVersion
getDescriptorForType() - Method in class org.tensorflow.proto.util.SessionLog.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.util.SessionLog.SessionStatus
getDescriptorForType() - Method in class org.tensorflow.proto.util.SnapShot.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.SourceFile.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.TaggedRunMetadata.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.util.TensorDebugMode
getDescriptorForType() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.testlog.EntryValue.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.testlog.MemoryInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.util.testlog.TestResults.BenchmarkType
getDescriptorForType() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.WatchdogConfig.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.util.WorkerHealth
getDescriptorForType() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.util.WorkerShutdownMode
getDestination() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: Destination of graph transfer
getDestination() - Method in class org.tensorflow.proto.framework.GraphTransferInfo: Destination of graph transfer
getDestination() - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: Destination of graph transfer
getDestinationValue() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: Destination of graph transfer
getDestinationValue() - Method in class org.tensorflow.proto.framework.GraphTransferInfo: Destination of graph transfer
getDestinationValue() - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: Destination of graph transfer
getDeterministic() - Method in class org.tensorflow.proto.data.Options.Builder: bool deterministic = 1;
getDeterministic() - Method in class org.tensorflow.proto.data.Options: bool deterministic = 1;
getDeterministic() - Method in interface org.tensorflow.proto.data.OptionsOrBuilder: bool deterministic = 1;
getDevice() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: The device of the node.
getDevice() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node: The device of the node.
getDevice() - Method in interface org.tensorflow.proto.framework.CostGraphDef.NodeOrBuilder: The device of the node.
getDevice() - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: string device = 1;
getDevice() - Method in class org.tensorflow.proto.framework.DeviceStepStats: string device = 1;
getDevice() - Method in interface org.tensorflow.proto.framework.DeviceStepStatsOrBuilder: string device = 1;
getDevice() - Method in class org.tensorflow.proto.framework.NodeDef.Builder: A (possibly partial) specification for the device on which this node should be placed.
getDevice() - Method in class org.tensorflow.proto.framework.NodeDef: A (possibly partial) specification for the device on which this node should be placed.
getDevice() - Method in interface org.tensorflow.proto.framework.NodeDefOrBuilder: A (possibly partial) specification for the device on which this node should be placed.
getDevice() - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Device on which the operation is run.
getDevice() - Method in class org.tensorflow.proto.framework.OpInfo: Device on which the operation is run.
getDevice() - Method in interface org.tensorflow.proto.framework.OpInfoOrBuilder: Device on which the operation is run.
getDevice() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Device where the tensor is located.
getDevice() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle: Device where the tensor is located.
getDevice() - Method in interface org.tensorflow.proto.framework.RemoteTensorHandleOrBuilder: Device where the tensor is located.
getDevice() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Unique name for the device containing the resource.
getDevice() - Method in class org.tensorflow.proto.framework.ResourceHandleProto: Unique name for the device containing the resource.
getDevice() - Method in interface org.tensorflow.proto.framework.ResourceHandleProtoOrBuilder: Unique name for the device containing the resource.
getDevice() - Method in class org.tensorflow.proto.framework.SavedResource.Builder: A device specification indicating a required placement for the resource creation function, e.g.
getDevice() - Method in class org.tensorflow.proto.framework.SavedResource: A device specification indicating a required placement for the resource creation function, e.g.
getDevice() - Method in interface org.tensorflow.proto.framework.SavedResourceOrBuilder: A device specification indicating a required placement for the resource creation function, e.g.
getDevice() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: string device = 7;
getDevice() - Method in class org.tensorflow.proto.framework.SavedVariable: string device = 7;
getDevice() - Method in interface org.tensorflow.proto.framework.SavedVariableOrBuilder: string device = 7;
getDeviceBuilder() - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Device on which the operation is run.
getDeviceBytes() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: The device of the node.
getDeviceBytes() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node: The device of the node.
getDeviceBytes() - Method in interface org.tensorflow.proto.framework.CostGraphDef.NodeOrBuilder: The device of the node.
getDeviceBytes() - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: string device = 1;
getDeviceBytes() - Method in class org.tensorflow.proto.framework.DeviceStepStats: string device = 1;
getDeviceBytes() - Method in interface org.tensorflow.proto.framework.DeviceStepStatsOrBuilder: string device = 1;
getDeviceBytes() - Method in class org.tensorflow.proto.framework.NodeDef.Builder: A (possibly partial) specification for the device on which this node should be placed.
getDeviceBytes() - Method in class org.tensorflow.proto.framework.NodeDef: A (possibly partial) specification for the device on which this node should be placed.
getDeviceBytes() - Method in interface org.tensorflow.proto.framework.NodeDefOrBuilder: A (possibly partial) specification for the device on which this node should be placed.
getDeviceBytes() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Device where the tensor is located.
getDeviceBytes() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle: Device where the tensor is located.
getDeviceBytes() - Method in interface org.tensorflow.proto.framework.RemoteTensorHandleOrBuilder: Device where the tensor is located.
getDeviceBytes() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Unique name for the device containing the resource.
getDeviceBytes() - Method in class org.tensorflow.proto.framework.ResourceHandleProto: Unique name for the device containing the resource.
getDeviceBytes() - Method in interface org.tensorflow.proto.framework.ResourceHandleProtoOrBuilder: Unique name for the device containing the resource.
getDeviceBytes() - Method in class org.tensorflow.proto.framework.SavedResource.Builder: A device specification indicating a required placement for the resource creation function, e.g.
getDeviceBytes() - Method in class org.tensorflow.proto.framework.SavedResource: A device specification indicating a required placement for the resource creation function, e.g.
getDeviceBytes() - Method in interface org.tensorflow.proto.framework.SavedResourceOrBuilder: A device specification indicating a required placement for the resource creation function, e.g.
getDeviceBytes() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: string device = 7;
getDeviceBytes() - Method in class org.tensorflow.proto.framework.SavedVariable: string device = 7;
getDeviceBytes() - Method in interface org.tensorflow.proto.framework.SavedVariableOrBuilder: string device = 7;
getDeviceCount() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Deprecated.
getDeviceCount() - Method in class org.tensorflow.proto.framework.ConfigProto: Deprecated.
getDeviceCount() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: Deprecated.
getDeviceCountCount() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder
getDeviceCountCount() - Method in class org.tensorflow.proto.framework.ConfigProto
getDeviceCountCount() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceCountMap() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceCountMap() - Method in class org.tensorflow.proto.framework.ConfigProto: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceCountMap() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceCountOrDefault(String, int) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceCountOrDefault(String, int) - Method in class org.tensorflow.proto.framework.ConfigProto: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceCountOrDefault(String, int) - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceCountOrThrow(String) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceCountOrThrow(String) - Method in class org.tensorflow.proto.framework.ConfigProto: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceCountOrThrow(String) - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceFilters(int) - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters.Builder: repeated string device_filters = 1;
getDeviceFilters(int) - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters: repeated string device_filters = 1;
getDeviceFilters(int) - Method in interface org.tensorflow.proto.distruntime.TaskDeviceFiltersOrBuilder: repeated string device_filters = 1;
getDeviceFilters(int) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFilters(int) - Method in class org.tensorflow.proto.framework.ConfigProto: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFilters(int) - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFiltersBytes(int) - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters.Builder: repeated string device_filters = 1;
getDeviceFiltersBytes(int) - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters: repeated string device_filters = 1;
getDeviceFiltersBytes(int) - Method in interface org.tensorflow.proto.distruntime.TaskDeviceFiltersOrBuilder: repeated string device_filters = 1;
getDeviceFiltersBytes(int) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFiltersBytes(int) - Method in class org.tensorflow.proto.framework.ConfigProto: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFiltersBytes(int) - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFiltersCount() - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters.Builder: repeated string device_filters = 1;
getDeviceFiltersCount() - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters: repeated string device_filters = 1;
getDeviceFiltersCount() - Method in interface org.tensorflow.proto.distruntime.TaskDeviceFiltersOrBuilder: repeated string device_filters = 1;
getDeviceFiltersCount() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFiltersCount() - Method in class org.tensorflow.proto.framework.ConfigProto: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFiltersCount() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFiltersList() - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters.Builder: repeated string device_filters = 1;
getDeviceFiltersList() - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters: repeated string device_filters = 1;
getDeviceFiltersList() - Method in interface org.tensorflow.proto.distruntime.TaskDeviceFiltersOrBuilder: repeated string device_filters = 1;
getDeviceFiltersList() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFiltersList() - Method in class org.tensorflow.proto.framework.ConfigProto: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFiltersList() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceId() - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder: int32 device_id = 1;
getDeviceId() - Method in class org.tensorflow.proto.framework.InterconnectLink: int32 device_id = 1;
getDeviceId() - Method in interface org.tensorflow.proto.framework.InterconnectLinkOrBuilder: int32 device_id = 1;
getDeviceId() - Method in class org.tensorflow.proto.util.DebuggedDevice.Builder: A debugger-generated ID for the device.
getDeviceId() - Method in class org.tensorflow.proto.util.DebuggedDevice: A debugger-generated ID for the device.
getDeviceId() - Method in interface org.tensorflow.proto.util.DebuggedDeviceOrBuilder: A debugger-generated ID for the device.
getDeviceInfo(int) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
getDeviceInfo(int) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration: Other devices that are attached and relevant (e.g.
getDeviceInfo(int) - Method in interface org.tensorflow.proto.util.testlog.MachineConfigurationOrBuilder: Other devices that are attached and relevant (e.g.
getDeviceInfoBuilder(int) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
getDeviceInfoBuilderList() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
getDeviceInfoCount() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
getDeviceInfoCount() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration: Other devices that are attached and relevant (e.g.
getDeviceInfoCount() - Method in interface org.tensorflow.proto.util.testlog.MachineConfigurationOrBuilder: Other devices that are attached and relevant (e.g.
getDeviceInfoList() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
getDeviceInfoList() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration: Other devices that are attached and relevant (e.g.
getDeviceInfoList() - Method in interface org.tensorflow.proto.util.testlog.MachineConfigurationOrBuilder: Other devices that are attached and relevant (e.g.
getDeviceInfoOrBuilder(int) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
getDeviceInfoOrBuilder(int) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration: Other devices that are attached and relevant (e.g.
getDeviceInfoOrBuilder(int) - Method in interface org.tensorflow.proto.util.testlog.MachineConfigurationOrBuilder: Other devices that are attached and relevant (e.g.
getDeviceInfoOrBuilderList() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
getDeviceInfoOrBuilderList() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration: Other devices that are attached and relevant (e.g.
getDeviceInfoOrBuilderList() - Method in interface org.tensorflow.proto.util.testlog.MachineConfigurationOrBuilder: Other devices that are attached and relevant (e.g.
getDeviceName() - Method in class org.tensorflow.proto.util.DebuggedDevice.Builder: Name of the device.
getDeviceName() - Method in class org.tensorflow.proto.util.DebuggedDevice: Name of the device.
getDeviceName() - Method in interface org.tensorflow.proto.util.DebuggedDeviceOrBuilder: Name of the device.
getDeviceName() - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Name of the device that the op belongs to.
getDeviceName() - Method in class org.tensorflow.proto.util.GraphExecutionTrace: Name of the device that the op belongs to.
getDeviceName() - Method in interface org.tensorflow.proto.util.GraphExecutionTraceOrBuilder: Name of the device that the op belongs to.
getDeviceName() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Name of the device that the op is assigned to (if available).
getDeviceName() - Method in class org.tensorflow.proto.util.GraphOpCreation: Name of the device that the op is assigned to (if available).
getDeviceName() - Method in interface org.tensorflow.proto.util.GraphOpCreationOrBuilder: Name of the device that the op is assigned to (if available).
getDeviceNameBytes() - Method in class org.tensorflow.proto.util.DebuggedDevice.Builder: Name of the device.
getDeviceNameBytes() - Method in class org.tensorflow.proto.util.DebuggedDevice: Name of the device.
getDeviceNameBytes() - Method in interface org.tensorflow.proto.util.DebuggedDeviceOrBuilder: Name of the device.
getDeviceNameBytes() - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Name of the device that the op belongs to.
getDeviceNameBytes() - Method in class org.tensorflow.proto.util.GraphExecutionTrace: Name of the device that the op belongs to.
getDeviceNameBytes() - Method in interface org.tensorflow.proto.util.GraphExecutionTraceOrBuilder: Name of the device that the op belongs to.
getDeviceNameBytes() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Name of the device that the op is assigned to (if available).
getDeviceNameBytes() - Method in class org.tensorflow.proto.util.GraphOpCreation: Name of the device that the op is assigned to (if available).
getDeviceNameBytes() - Method in interface org.tensorflow.proto.util.GraphOpCreationOrBuilder: Name of the device that the op is assigned to (if available).
getDeviceOrBuilder() - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Device on which the operation is run.
getDeviceOrBuilder() - Method in class org.tensorflow.proto.framework.OpInfo: Device on which the operation is run.
getDeviceOrBuilder() - Method in interface org.tensorflow.proto.framework.OpInfoOrBuilder: Device on which the operation is run.
getDevicePersistentMemory() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder: Deprecated.
getDevicePersistentMemory() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory: Deprecated.
getDevicePersistentMemory() - Method in interface org.tensorflow.proto.framework.OpPerformance.OpMemoryOrBuilder: Deprecated.
getDevicePersistentMemorySize() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Deprecated.
getDevicePersistentMemorySize() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node: Deprecated.
getDevicePersistentMemorySize() - Method in interface org.tensorflow.proto.framework.CostGraphDef.NodeOrBuilder: Deprecated.
getDevicePersistentMemorySize() - Method in class org.tensorflow.proto.framework.MemoryStats.Builder: Deprecated.
getDevicePersistentMemorySize() - Method in class org.tensorflow.proto.framework.MemoryStats: Deprecated.
getDevicePersistentMemorySize() - Method in interface org.tensorflow.proto.framework.MemoryStatsOrBuilder: Deprecated.
getDevicePersistentTensorAllocIds(int) - Method in class org.tensorflow.proto.framework.MemoryStats.Builder: Deprecated.
getDevicePersistentTensorAllocIds(int) - Method in class org.tensorflow.proto.framework.MemoryStats: Deprecated.
getDevicePersistentTensorAllocIds(int) - Method in interface org.tensorflow.proto.framework.MemoryStatsOrBuilder: Deprecated.
getDevicePersistentTensorAllocIdsCount() - Method in class org.tensorflow.proto.framework.MemoryStats.Builder: Deprecated.
getDevicePersistentTensorAllocIdsCount() - Method in class org.tensorflow.proto.framework.MemoryStats: Deprecated.
getDevicePersistentTensorAllocIdsCount() - Method in interface org.tensorflow.proto.framework.MemoryStatsOrBuilder: Deprecated.
getDevicePersistentTensorAllocIdsList() - Method in class org.tensorflow.proto.framework.MemoryStats.Builder: Deprecated.
getDevicePersistentTensorAllocIdsList() - Method in class org.tensorflow.proto.framework.MemoryStats: Deprecated.
getDevicePersistentTensorAllocIdsList() - Method in interface org.tensorflow.proto.framework.MemoryStatsOrBuilder: Deprecated.
getDeviceString() - Method in class org.tensorflow.op.GradientScope
getDeviceString() - Method in class org.tensorflow.op.OpScope
getDeviceString() - Method in interface org.tensorflow.op.Scope: Returns device string from the scope.
getDeviceTempMemory() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder: Deprecated.
getDeviceTempMemory() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory: Deprecated.
getDeviceTempMemory() - Method in interface org.tensorflow.proto.framework.OpPerformance.OpMemoryOrBuilder: Deprecated.
getDeviceTempMemorySize() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Deprecated.
getDeviceTempMemorySize() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node: Deprecated.
getDeviceTempMemorySize() - Method in interface org.tensorflow.proto.framework.CostGraphDef.NodeOrBuilder: Deprecated.
getDeviceTempMemorySize() - Method in class org.tensorflow.proto.framework.MemoryStats.Builder: Deprecated.
getDeviceTempMemorySize() - Method in class org.tensorflow.proto.framework.MemoryStats: Deprecated.
getDeviceTempMemorySize() - Method in interface org.tensorflow.proto.framework.MemoryStatsOrBuilder: Deprecated.
getDeviceTracerLevel() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: Levels of device tracing: (version >= 1) - Level 0 is used to disable device traces.
getDeviceTracerLevel() - Method in class org.tensorflow.proto.profiler.ProfileOptions: Levels of device tracing: (version >= 1) - Level 0 is used to disable device traces.
getDeviceTracerLevel() - Method in interface org.tensorflow.proto.profiler.ProfileOptionsOrBuilder: Levels of device tracing: (version >= 1) - Level 0 is used to disable device traces.
getDeviceType() - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: String representation of device_type.
getDeviceType() - Method in class org.tensorflow.proto.framework.DeviceAttributes: String representation of device_type.
getDeviceType() - Method in interface org.tensorflow.proto.framework.DeviceAttributesOrBuilder: String representation of device_type.
getDeviceType() - Method in class org.tensorflow.proto.framework.KernelDef.Builder: Type of device this kernel runs on.
getDeviceType() - Method in class org.tensorflow.proto.framework.KernelDef: Type of device this kernel runs on.
getDeviceType() - Method in interface org.tensorflow.proto.framework.KernelDefOrBuilder: Type of device this kernel runs on.
getDeviceType() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: Device type to profile/trace: (version >= 1) DeviceType::UNSPECIFIED: All registered device profiler will be enabled.
getDeviceType() - Method in class org.tensorflow.proto.profiler.ProfileOptions: Device type to profile/trace: (version >= 1) DeviceType::UNSPECIFIED: All registered device profiler will be enabled.
getDeviceType() - Method in interface org.tensorflow.proto.profiler.ProfileOptionsOrBuilder: Device type to profile/trace: (version >= 1) DeviceType::UNSPECIFIED: All registered device profiler will be enabled.
getDeviceTypeBytes() - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: String representation of device_type.
getDeviceTypeBytes() - Method in class org.tensorflow.proto.framework.DeviceAttributes: String representation of device_type.
getDeviceTypeBytes() - Method in interface org.tensorflow.proto.framework.DeviceAttributesOrBuilder: String representation of device_type.
getDeviceTypeBytes() - Method in class org.tensorflow.proto.framework.KernelDef.Builder: Type of device this kernel runs on.
getDeviceTypeBytes() - Method in class org.tensorflow.proto.framework.KernelDef: Type of device this kernel runs on.
getDeviceTypeBytes() - Method in interface org.tensorflow.proto.framework.KernelDefOrBuilder: Type of device this kernel runs on.
getDeviceTypeValue() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: Device type to profile/trace: (version >= 1) DeviceType::UNSPECIFIED: All registered device profiler will be enabled.
getDeviceTypeValue() - Method in class org.tensorflow.proto.profiler.ProfileOptions: Device type to profile/trace: (version >= 1) DeviceType::UNSPECIFIED: All registered device profiler will be enabled.
getDeviceTypeValue() - Method in interface org.tensorflow.proto.profiler.ProfileOptionsOrBuilder: Device type to profile/trace: (version >= 1) DeviceType::UNSPECIFIED: All registered device profiler will be enabled.
getDevStats(int) - Method in class org.tensorflow.proto.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStats(int) - Method in class org.tensorflow.proto.framework.StepStats: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStats(int) - Method in interface org.tensorflow.proto.framework.StepStatsOrBuilder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsBuilder(int) - Method in class org.tensorflow.proto.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsBuilderList() - Method in class org.tensorflow.proto.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsCount() - Method in class org.tensorflow.proto.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsCount() - Method in class org.tensorflow.proto.framework.StepStats: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsCount() - Method in interface org.tensorflow.proto.framework.StepStatsOrBuilder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsList() - Method in class org.tensorflow.proto.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsList() - Method in class org.tensorflow.proto.framework.StepStats: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsList() - Method in interface org.tensorflow.proto.framework.StepStatsOrBuilder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsOrBuilder(int) - Method in class org.tensorflow.proto.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsOrBuilder(int) - Method in class org.tensorflow.proto.framework.StepStats: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsOrBuilder(int) - Method in interface org.tensorflow.proto.framework.StepStatsOrBuilder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsOrBuilderList() - Method in class org.tensorflow.proto.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsOrBuilderList() - Method in class org.tensorflow.proto.framework.StepStats: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsOrBuilderList() - Method in interface org.tensorflow.proto.framework.StepStatsOrBuilder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDictValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a dict `Value`.
getDictValue() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents a dict `Value`.
getDictValue() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents a dict `Value`.
getDictValueBuilder() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a dict `Value`.
getDictValueOrBuilder() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a dict `Value`.
getDictValueOrBuilder() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents a dict `Value`.
getDictValueOrBuilder() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents a dict `Value`.
getDim(int) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDim(int) - Method in class org.tensorflow.proto.framework.TensorShapeProto: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDim(int) - Method in interface org.tensorflow.proto.framework.TensorShapeProtoOrBuilder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimBuilder(int) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimBuilderList() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimCount() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimCount() - Method in class org.tensorflow.proto.framework.TensorShapeProto: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimCount() - Method in interface org.tensorflow.proto.framework.TensorShapeProtoOrBuilder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimension() - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost.Builder: Aggregated cost dimension (e.g.
getDimension() - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost: Aggregated cost dimension (e.g.
getDimension() - Method in interface org.tensorflow.proto.framework.CostGraphDef.AggregatedCostOrBuilder: Aggregated cost dimension (e.g.
getDimensionBytes() - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost.Builder: Aggregated cost dimension (e.g.
getDimensionBytes() - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost: Aggregated cost dimension (e.g.
getDimensionBytes() - Method in interface org.tensorflow.proto.framework.CostGraphDef.AggregatedCostOrBuilder: Aggregated cost dimension (e.g.
getDimList() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimList() - Method in class org.tensorflow.proto.framework.TensorShapeProto: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimList() - Method in interface org.tensorflow.proto.framework.TensorShapeProtoOrBuilder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimOrBuilder(int) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimOrBuilder(int) - Method in class org.tensorflow.proto.framework.TensorShapeProto: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimOrBuilder(int) - Method in interface org.tensorflow.proto.framework.TensorShapeProtoOrBuilder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimOrBuilderList() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimOrBuilderList() - Method in class org.tensorflow.proto.framework.TensorShapeProto: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimOrBuilderList() - Method in interface org.tensorflow.proto.framework.TensorShapeProtoOrBuilder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDisableFunctionalOpsLowering() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Whether functional control flow op lowering should be disabled.
getDisableFunctionalOpsLowering() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental: Whether functional control flow op lowering should be disabled.
getDisableFunctionalOpsLowering() - Method in interface org.tensorflow.proto.framework.ConfigProto.ExperimentalOrBuilder: Whether functional control flow op lowering should be disabled.
getDisableMetaOptimizer() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Disable the entire meta optimizer (off by default).
getDisableMetaOptimizer() - Method in class org.tensorflow.proto.framework.RewriterConfig: Disable the entire meta optimizer (off by default).
getDisableMetaOptimizer() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Disable the entire meta optimizer (off by default).
getDisableModelPruning() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: If true, don't remove unnecessary ops from the graph
getDisableModelPruning() - Method in class org.tensorflow.proto.framework.RewriterConfig: If true, don't remove unnecessary ops from the graph
getDisableModelPruning() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: If true, don't remove unnecessary ops from the graph
getDisableOutputPartitionGraphs() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: If true, the session will not store an additional copy of the graph for each subgraph.
getDisableOutputPartitionGraphs() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental: If true, the session will not store an additional copy of the graph for each subgraph.
getDisableOutputPartitionGraphs() - Method in interface org.tensorflow.proto.framework.ConfigProto.ExperimentalOrBuilder: If true, the session will not store an additional copy of the graph for each subgraph.
getDisableSessionConnectionSharing() - Method in class org.tensorflow.proto.framework.RPCOptions.Builder: Disables TCP connection sharing when opening a new RPC channel.
getDisableSessionConnectionSharing() - Method in class org.tensorflow.proto.framework.RPCOptions: Disables TCP connection sharing when opening a new RPC channel.
getDisableSessionConnectionSharing() - Method in interface org.tensorflow.proto.framework.RPCOptionsOrBuilder: Disables TCP connection sharing when opening a new RPC channel.
getDisableThreadSpinning() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: If using a direct session, disable spinning while waiting for work in the thread pool.
getDisableThreadSpinning() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental: If using a direct session, disable spinning while waiting for work in the thread pool.
getDisableThreadSpinning() - Method in interface org.tensorflow.proto.framework.ConfigProto.ExperimentalOrBuilder: If using a direct session, disable spinning while waiting for work in the thread pool.
getDispatcherAddress() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The address of the dispatcher to register with.
getDispatcherAddress() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: The address of the dispatcher to register with.
getDispatcherAddress() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: The address of the dispatcher to register with.
getDispatcherAddressBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The address of the dispatcher to register with.
getDispatcherAddressBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: The address of the dispatcher to register with.
getDispatcherAddressBytes() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: The address of the dispatcher to register with.
getDispatcherTimeoutMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: How long to retry requests to the dispatcher before giving up and reporting an error.
getDispatcherTimeoutMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: How long to retry requests to the dispatcher before giving up and reporting an error.
getDispatcherTimeoutMs() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: How long to retry requests to the dispatcher before giving up and reporting an error.
getDisplayId() - Method in class org.tensorflow.proto.profiler.XLine.Builder: Display id of this line.
getDisplayId() - Method in class org.tensorflow.proto.profiler.XLine: Display id of this line.
getDisplayId() - Method in interface org.tensorflow.proto.profiler.XLineOrBuilder: Display id of this line.
getDisplayName() - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder: Display name for viewing in TensorBoard.
getDisplayName() - Method in class org.tensorflow.proto.framework.SummaryMetadata: Display name for viewing in TensorBoard.
getDisplayName() - Method in interface org.tensorflow.proto.framework.SummaryMetadataOrBuilder: Display name for viewing in TensorBoard.
getDisplayName() - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: Name of the event shown in trace viewer.
getDisplayName() - Method in class org.tensorflow.proto.profiler.XEventMetadata: Name of the event shown in trace viewer.
getDisplayName() - Method in interface org.tensorflow.proto.profiler.XEventMetadataOrBuilder: Name of the event shown in trace viewer.
getDisplayName() - Method in class org.tensorflow.proto.profiler.XLine.Builder: Name of this XLine to display in trace viewer.
getDisplayName() - Method in class org.tensorflow.proto.profiler.XLine: Name of this XLine to display in trace viewer.
getDisplayName() - Method in interface org.tensorflow.proto.profiler.XLineOrBuilder: Name of this XLine to display in trace viewer.
getDisplayNameBytes() - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder: Display name for viewing in TensorBoard.
getDisplayNameBytes() - Method in class org.tensorflow.proto.framework.SummaryMetadata: Display name for viewing in TensorBoard.
getDisplayNameBytes() - Method in interface org.tensorflow.proto.framework.SummaryMetadataOrBuilder: Display name for viewing in TensorBoard.
getDisplayNameBytes() - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: Name of the event shown in trace viewer.
getDisplayNameBytes() - Method in class org.tensorflow.proto.profiler.XEventMetadata: Name of the event shown in trace viewer.
getDisplayNameBytes() - Method in interface org.tensorflow.proto.profiler.XEventMetadataOrBuilder: Name of the event shown in trace viewer.
getDisplayNameBytes() - Method in class org.tensorflow.proto.profiler.XLine.Builder: Name of this XLine to display in trace viewer.
getDisplayNameBytes() - Method in class org.tensorflow.proto.profiler.XLine: Name of this XLine to display in trace viewer.
getDisplayNameBytes() - Method in interface org.tensorflow.proto.profiler.XLineOrBuilder: Name of this XLine to display in trace viewer.
getDistributeOptions() - Method in class org.tensorflow.proto.data.Options.Builder: The distribution strategy options associated with the dataset.
getDistributeOptions() - Method in class org.tensorflow.proto.data.Options: The distribution strategy options associated with the dataset.
getDistributeOptions() - Method in interface org.tensorflow.proto.data.OptionsOrBuilder: The distribution strategy options associated with the dataset.
getDistributeOptionsBuilder() - Method in class org.tensorflow.proto.data.Options.Builder: The distribution strategy options associated with the dataset.
getDistributeOptionsOrBuilder() - Method in class org.tensorflow.proto.data.Options.Builder: The distribution strategy options associated with the dataset.
getDistributeOptionsOrBuilder() - Method in class org.tensorflow.proto.data.Options: The distribution strategy options associated with the dataset.
getDistributeOptionsOrBuilder() - Method in interface org.tensorflow.proto.data.OptionsOrBuilder: The distribution strategy options associated with the dataset.
getDoCommonSubexpressionElimination() - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder: If true, optimize the graph using common subexpression elimination.
getDoCommonSubexpressionElimination() - Method in class org.tensorflow.proto.framework.OptimizerOptions: If true, optimize the graph using common subexpression elimination.
getDoCommonSubexpressionElimination() - Method in interface org.tensorflow.proto.framework.OptimizerOptionsOrBuilder: If true, optimize the graph using common subexpression elimination.
getDoConstantFolding() - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder: If true, perform constant folding optimization on the graph.
getDoConstantFolding() - Method in class org.tensorflow.proto.framework.OptimizerOptions: If true, perform constant folding optimization on the graph.
getDoConstantFolding() - Method in interface org.tensorflow.proto.framework.OptimizerOptionsOrBuilder: If true, perform constant folding optimization on the graph.
getDoFunctionInlining() - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder: If true, perform function inlining on the graph.
getDoFunctionInlining() - Method in class org.tensorflow.proto.framework.OptimizerOptions: If true, perform function inlining on the graph.
getDoFunctionInlining() - Method in interface org.tensorflow.proto.framework.OptimizerOptionsOrBuilder: If true, perform function inlining on the graph.
getDoubleVal(int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_DOUBLE.
getDoubleVal(int) - Method in class org.tensorflow.proto.framework.TensorProto: DT_DOUBLE.
getDoubleVal(int) - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_DOUBLE.
getDoubleValCount() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_DOUBLE.
getDoubleValCount() - Method in class org.tensorflow.proto.framework.TensorProto: DT_DOUBLE.
getDoubleValCount() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_DOUBLE.
getDoubleValList() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_DOUBLE.
getDoubleValList() - Method in class org.tensorflow.proto.framework.TensorProto: DT_DOUBLE.
getDoubleValList() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_DOUBLE.
getDoubleValue() - Method in class org.tensorflow.proto.profiler.XStat.Builder: double double_value = 2;
getDoubleValue() - Method in class org.tensorflow.proto.profiler.XStat: double double_value = 2;
getDoubleValue() - Method in interface org.tensorflow.proto.profiler.XStatOrBuilder: double double_value = 2;
getDoubleValue() - Method in class org.tensorflow.proto.util.testlog.EntryValue.Builder: double double_value = 1;
getDoubleValue() - Method in class org.tensorflow.proto.util.testlog.EntryValue: double double_value = 1;
getDoubleValue() - Method in interface org.tensorflow.proto.util.testlog.EntryValueOrBuilder: double double_value = 1;
getDtype(int) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: A list of tensor dtype corresponding to each element of the snapshot.
getDtype(int) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord: A list of tensor dtype corresponding to each element of the snapshot.
getDtype(int) - Method in interface org.tensorflow.proto.data.experimental.SnapshotMetadataRecordOrBuilder: A list of tensor dtype corresponding to each element of the snapshot.
getDtype() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
getDtype() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto: .tensorflow.DataType dtype = 1;
getDtype() - Method in interface org.tensorflow.proto.example.FixedLenFeatureProtoOrBuilder: .tensorflow.DataType dtype = 1;
getDtype() - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
getDtype() - Method in class org.tensorflow.proto.example.VarLenFeatureProto: .tensorflow.DataType dtype = 1;
getDtype() - Method in interface org.tensorflow.proto.example.VarLenFeatureProtoOrBuilder: .tensorflow.DataType dtype = 1;
getDtype() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.DataType dtype = 3;
getDtype() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto: .tensorflow.DataType dtype = 3;
getDtype() - Method in interface org.tensorflow.proto.framework.BoundedTensorSpecProtoOrBuilder: .tensorflow.DataType dtype = 3;
getDtype() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.DataType dtype = 4;
getDtype() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo: .tensorflow.DataType dtype = 4;
getDtype() - Method in interface org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfoOrBuilder: .tensorflow.DataType dtype = 4;
getDtype() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder: .tensorflow.DataType dtype = 5;
getDtype() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo: .tensorflow.DataType dtype = 5;
getDtype() - Method in interface org.tensorflow.proto.framework.GraphTransferConstNodeInfoOrBuilder: .tensorflow.DataType dtype = 5;
getDtype() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
getDtype() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo: .tensorflow.DataType dtype = 3;
getDtype() - Method in interface org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfoOrBuilder: .tensorflow.DataType dtype = 3;
getDtype() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
getDtype() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo: .tensorflow.DataType dtype = 3;
getDtype() - Method in interface org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfoOrBuilder: .tensorflow.DataType dtype = 3;
getDtype() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder: .tensorflow.DataType dtype = 1;
getDtype() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties: .tensorflow.DataType dtype = 1;
getDtype() - Method in interface org.tensorflow.proto.framework.OpInfo.TensorPropertiesOrBuilder: .tensorflow.DataType dtype = 1;
getDtype() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Tensor type.
getDtype() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle: Tensor type.
getDtype() - Method in interface org.tensorflow.proto.framework.RemoteTensorHandleOrBuilder: Tensor type.
getDtype() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder: .tensorflow.DataType dtype = 1;
getDtype() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape: .tensorflow.DataType dtype = 1;
getDtype() - Method in interface org.tensorflow.proto.framework.ResourceDtypeAndShapeOrBuilder: .tensorflow.DataType dtype = 1;
getDtype() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder: .tensorflow.DataType dtype = 1;
getDtype() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape: .tensorflow.DataType dtype = 1;
getDtype() - Method in interface org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShapeOrBuilder: .tensorflow.DataType dtype = 1;
getDtype() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: .tensorflow.DataType dtype = 1;
getDtype() - Method in class org.tensorflow.proto.framework.SavedVariable: .tensorflow.DataType dtype = 1;
getDtype() - Method in interface org.tensorflow.proto.framework.SavedVariableOrBuilder: .tensorflow.DataType dtype = 1;
getDtype() - Method in class org.tensorflow.proto.framework.TensorDescription.Builder: Data type of tensor elements
getDtype() - Method in class org.tensorflow.proto.framework.TensorDescription: Data type of tensor elements
getDtype() - Method in interface org.tensorflow.proto.framework.TensorDescriptionOrBuilder: Data type of tensor elements
getDtype() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: .tensorflow.DataType dtype = 2;
getDtype() - Method in class org.tensorflow.proto.framework.TensorInfo: .tensorflow.DataType dtype = 2;
getDtype() - Method in interface org.tensorflow.proto.framework.TensorInfoOrBuilder: .tensorflow.DataType dtype = 2;
getDtype() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: .tensorflow.DataType dtype = 1;
getDtype() - Method in class org.tensorflow.proto.framework.TensorProto: .tensorflow.DataType dtype = 1;
getDtype() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: .tensorflow.DataType dtype = 1;
getDtype() - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder: .tensorflow.DataType dtype = 3;
getDtype() - Method in class org.tensorflow.proto.framework.TensorSpecProto: .tensorflow.DataType dtype = 3;
getDtype() - Method in interface org.tensorflow.proto.framework.TensorSpecProtoOrBuilder: .tensorflow.DataType dtype = 3;
getDtype() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: The tensor dtype and shape.
getDtype() - Method in class org.tensorflow.proto.util.BundleEntryProto: The tensor dtype and shape.
getDtype() - Method in interface org.tensorflow.proto.util.BundleEntryProtoOrBuilder: The tensor dtype and shape.
getDtypeCount() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: A list of tensor dtype corresponding to each element of the snapshot.
getDtypeCount() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord: A list of tensor dtype corresponding to each element of the snapshot.
getDtypeCount() - Method in interface org.tensorflow.proto.data.experimental.SnapshotMetadataRecordOrBuilder: A list of tensor dtype corresponding to each element of the snapshot.
getDtypeList() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: A list of tensor dtype corresponding to each element of the snapshot.
getDtypeList() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord: A list of tensor dtype corresponding to each element of the snapshot.
getDtypeList() - Method in interface org.tensorflow.proto.data.experimental.SnapshotMetadataRecordOrBuilder: A list of tensor dtype corresponding to each element of the snapshot.
getDtypesAndShapes(int) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
getDtypesAndShapes(int) - Method in class org.tensorflow.proto.framework.ResourceHandleProto: Data types and shapes for the underlying resource.
getDtypesAndShapes(int) - Method in interface org.tensorflow.proto.framework.ResourceHandleProtoOrBuilder: Data types and shapes for the underlying resource.
getDtypesAndShapesBuilder(int) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
getDtypesAndShapesBuilderList() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
getDtypesAndShapesCount() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
getDtypesAndShapesCount() - Method in class org.tensorflow.proto.framework.ResourceHandleProto: Data types and shapes for the underlying resource.
getDtypesAndShapesCount() - Method in interface org.tensorflow.proto.framework.ResourceHandleProtoOrBuilder: Data types and shapes for the underlying resource.
getDtypesAndShapesList() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
getDtypesAndShapesList() - Method in class org.tensorflow.proto.framework.ResourceHandleProto: Data types and shapes for the underlying resource.
getDtypesAndShapesList() - Method in interface org.tensorflow.proto.framework.ResourceHandleProtoOrBuilder: Data types and shapes for the underlying resource.
getDtypesAndShapesOrBuilder(int) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
getDtypesAndShapesOrBuilder(int) - Method in class org.tensorflow.proto.framework.ResourceHandleProto: Data types and shapes for the underlying resource.
getDtypesAndShapesOrBuilder(int) - Method in interface org.tensorflow.proto.framework.ResourceHandleProtoOrBuilder: Data types and shapes for the underlying resource.
getDtypesAndShapesOrBuilderList() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
getDtypesAndShapesOrBuilderList() - Method in class org.tensorflow.proto.framework.ResourceHandleProto: Data types and shapes for the underlying resource.
getDtypesAndShapesOrBuilderList() - Method in interface org.tensorflow.proto.framework.ResourceHandleProtoOrBuilder: Data types and shapes for the underlying resource.
getDtypeValue(int) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: A list of tensor dtype corresponding to each element of the snapshot.
getDtypeValue(int) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord: A list of tensor dtype corresponding to each element of the snapshot.
getDtypeValue(int) - Method in interface org.tensorflow.proto.data.experimental.SnapshotMetadataRecordOrBuilder: A list of tensor dtype corresponding to each element of the snapshot.
getDtypeValue() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in interface org.tensorflow.proto.example.FixedLenFeatureProtoOrBuilder: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in class org.tensorflow.proto.example.VarLenFeatureProto: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in interface org.tensorflow.proto.example.VarLenFeatureProtoOrBuilder: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.DataType dtype = 3;
getDtypeValue() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto: .tensorflow.DataType dtype = 3;
getDtypeValue() - Method in interface org.tensorflow.proto.framework.BoundedTensorSpecProtoOrBuilder: .tensorflow.DataType dtype = 3;
getDtypeValue() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.DataType dtype = 4;
getDtypeValue() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo: .tensorflow.DataType dtype = 4;
getDtypeValue() - Method in interface org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfoOrBuilder: .tensorflow.DataType dtype = 4;
getDtypeValue() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder: .tensorflow.DataType dtype = 5;
getDtypeValue() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo: .tensorflow.DataType dtype = 5;
getDtypeValue() - Method in interface org.tensorflow.proto.framework.GraphTransferConstNodeInfoOrBuilder: .tensorflow.DataType dtype = 5;
getDtypeValue() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
getDtypeValue() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo: .tensorflow.DataType dtype = 3;
getDtypeValue() - Method in interface org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfoOrBuilder: .tensorflow.DataType dtype = 3;
getDtypeValue() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
getDtypeValue() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo: .tensorflow.DataType dtype = 3;
getDtypeValue() - Method in interface org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfoOrBuilder: .tensorflow.DataType dtype = 3;
getDtypeValue() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in interface org.tensorflow.proto.framework.OpInfo.TensorPropertiesOrBuilder: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Tensor type.
getDtypeValue() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle: Tensor type.
getDtypeValue() - Method in interface org.tensorflow.proto.framework.RemoteTensorHandleOrBuilder: Tensor type.
getDtypeValue() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in interface org.tensorflow.proto.framework.ResourceDtypeAndShapeOrBuilder: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in interface org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShapeOrBuilder: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in class org.tensorflow.proto.framework.SavedVariable: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in interface org.tensorflow.proto.framework.SavedVariableOrBuilder: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in class org.tensorflow.proto.framework.TensorDescription.Builder: Data type of tensor elements
getDtypeValue() - Method in class org.tensorflow.proto.framework.TensorDescription: Data type of tensor elements
getDtypeValue() - Method in interface org.tensorflow.proto.framework.TensorDescriptionOrBuilder: Data type of tensor elements
getDtypeValue() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: .tensorflow.DataType dtype = 2;
getDtypeValue() - Method in class org.tensorflow.proto.framework.TensorInfo: .tensorflow.DataType dtype = 2;
getDtypeValue() - Method in interface org.tensorflow.proto.framework.TensorInfoOrBuilder: .tensorflow.DataType dtype = 2;
getDtypeValue() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in class org.tensorflow.proto.framework.TensorProto: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder: .tensorflow.DataType dtype = 3;
getDtypeValue() - Method in class org.tensorflow.proto.framework.TensorSpecProto: .tensorflow.DataType dtype = 3;
getDtypeValue() - Method in interface org.tensorflow.proto.framework.TensorSpecProtoOrBuilder: .tensorflow.DataType dtype = 3;
getDtypeValue() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: The tensor dtype and shape.
getDtypeValue() - Method in class org.tensorflow.proto.util.BundleEntryProto: The tensor dtype and shape.
getDtypeValue() - Method in interface org.tensorflow.proto.util.BundleEntryProtoOrBuilder: The tensor dtype and shape.
getDtypeValueList() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: A list of tensor dtype corresponding to each element of the snapshot.
getDtypeValueList() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord: A list of tensor dtype corresponding to each element of the snapshot.
getDtypeValueList() - Method in interface org.tensorflow.proto.data.experimental.SnapshotMetadataRecordOrBuilder: A list of tensor dtype corresponding to each element of the snapshot.
getDurationMs() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: The local profiler collects `duration_ms` milliseconds of data.
getDurationMs() - Method in class org.tensorflow.proto.profiler.ProfileOptions: The local profiler collects `duration_ms` milliseconds of data.
getDurationMs() - Method in interface org.tensorflow.proto.profiler.ProfileOptionsOrBuilder: The local profiler collects `duration_ms` milliseconds of data.
getDurationPs() - Method in class org.tensorflow.proto.profiler.XEvent.Builder: Duration of the event in picoseconds.
getDurationPs() - Method in class org.tensorflow.proto.profiler.XEvent: Duration of the event in picoseconds.
getDurationPs() - Method in interface org.tensorflow.proto.profiler.XEventOrBuilder: Duration of the event in picoseconds.
getDurationPs() - Method in class org.tensorflow.proto.profiler.XLine.Builder: Profiling duration for this line in picoseconds.
getDurationPs() - Method in class org.tensorflow.proto.profiler.XLine: Profiling duration for this line in picoseconds.
getDurationPs() - Method in interface org.tensorflow.proto.profiler.XLineOrBuilder: Profiling duration for this line in picoseconds.
getElement(int) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElement(int) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElement(int) - Method in interface org.tensorflow.proto.util.MemmappedFileSystemDirectoryOrBuilder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
GetElementAtIndex - Class in org.tensorflow.op.core: Gets the element at the specified index in a dataset.
GetElementAtIndex(Operation) - Constructor for class org.tensorflow.op.core.GetElementAtIndex
GetElementAtIndex.Inputs - Class in org.tensorflow.op.core
getElementBuilder(int) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElementBuilderList() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElementCount() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElementCount() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElementCount() - Method in interface org.tensorflow.proto.util.MemmappedFileSystemDirectoryOrBuilder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElementList() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElementList() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElementList() - Method in interface org.tensorflow.proto.util.MemmappedFileSystemDirectoryOrBuilder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElementOrBuilder(int) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElementOrBuilder(int) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElementOrBuilder(int) - Method in interface org.tensorflow.proto.util.MemmappedFileSystemDirectoryOrBuilder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElementOrBuilderList() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElementOrBuilderList() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElementOrBuilderList() - Method in interface org.tensorflow.proto.util.MemmappedFileSystemDirectoryOrBuilder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getEnable() - Method in class org.tensorflow.proto.framework.AutoParallelOptions.Builder: bool enable = 1;
getEnable() - Method in class org.tensorflow.proto.framework.AutoParallelOptions: bool enable = 1;
getEnable() - Method in interface org.tensorflow.proto.framework.AutoParallelOptionsOrBuilder: bool enable = 1;
getEnableBfloat16Sendrecv() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: If true, transfer float values between processes as bfloat16.
getEnableBfloat16Sendrecv() - Method in class org.tensorflow.proto.framework.GraphOptions: If true, transfer float values between processes as bfloat16.
getEnableBfloat16Sendrecv() - Method in interface org.tensorflow.proto.framework.GraphOptionsOrBuilder: If true, transfer float values between processes as bfloat16.
getEnabled() - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder: bool enabled = 1;
getEnabled() - Method in class org.tensorflow.proto.data.AutotuneOptions: bool enabled = 1;
getEnabled() - Method in interface org.tensorflow.proto.data.AutotuneOptionsOrBuilder: bool enabled = 1;
getEnableHloProto() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: Whether serialize hlo_proto when XLA is used.
getEnableHloProto() - Method in class org.tensorflow.proto.profiler.ProfileOptions: Whether serialize hlo_proto when XLA is used.
getEnableHloProto() - Method in interface org.tensorflow.proto.profiler.ProfileOptionsOrBuilder: Whether serialize hlo_proto when XLA is used.
getEnableMlirBridge() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: This field will eventually be deprecated and replaced by mlir_bridge_rollout (b/166038521).
getEnableMlirBridge() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental: This field will eventually be deprecated and replaced by mlir_bridge_rollout (b/166038521).
getEnableMlirBridge() - Method in interface org.tensorflow.proto.framework.ConfigProto.ExperimentalOrBuilder: This field will eventually be deprecated and replaced by mlir_bridge_rollout (b/166038521).
getEnableMlirGraphOptimization() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Whether to enable the MLIR-based Graph optimizations.
getEnableMlirGraphOptimization() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental: Whether to enable the MLIR-based Graph optimizations.
getEnableMlirGraphOptimization() - Method in interface org.tensorflow.proto.framework.ConfigProto.ExperimentalOrBuilder: Whether to enable the MLIR-based Graph optimizations.
getEnableOp(int) - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions.Builder: If present, only perform optimization for these ops.
getEnableOp(int) - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions: If present, only perform optimization for these ops.
getEnableOp(int) - Method in interface org.tensorflow.proto.framework.ScopedAllocatorOptionsOrBuilder: If present, only perform optimization for these ops.
getEnableOpBytes(int) - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions.Builder: If present, only perform optimization for these ops.
getEnableOpBytes(int) - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions: If present, only perform optimization for these ops.
getEnableOpBytes(int) - Method in interface org.tensorflow.proto.framework.ScopedAllocatorOptionsOrBuilder: If present, only perform optimization for these ops.
getEnableOpCount() - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions.Builder: If present, only perform optimization for these ops.
getEnableOpCount() - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions: If present, only perform optimization for these ops.
getEnableOpCount() - Method in interface org.tensorflow.proto.framework.ScopedAllocatorOptionsOrBuilder: If present, only perform optimization for these ops.
getEnableOpList() - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions.Builder: If present, only perform optimization for these ops.
getEnableOpList() - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions: If present, only perform optimization for these ops.
getEnableOpList() - Method in interface org.tensorflow.proto.framework.ScopedAllocatorOptionsOrBuilder: If present, only perform optimization for these ops.
getEnableRecvScheduling() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: If true, use control flow to schedule the activation of Recv nodes.
getEnableRecvScheduling() - Method in class org.tensorflow.proto.framework.GraphOptions: If true, use control flow to schedule the activation of Recv nodes.
getEnableRecvScheduling() - Method in interface org.tensorflow.proto.framework.GraphOptionsOrBuilder: If true, use control flow to schedule the activation of Recv nodes.
getEncodedAudioString() - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder: Encoded audio data and its associated RFC 2045 content type (e.g.
getEncodedAudioString() - Method in class org.tensorflow.proto.framework.Summary.Audio: Encoded audio data and its associated RFC 2045 content type (e.g.
getEncodedAudioString() - Method in interface org.tensorflow.proto.framework.Summary.AudioOrBuilder: Encoded audio data and its associated RFC 2045 content type (e.g.
getEncodedImageString() - Method in class org.tensorflow.proto.framework.Summary.Image.Builder: Image data in encoded format.
getEncodedImageString() - Method in class org.tensorflow.proto.framework.Summary.Image: Image data in encoded format.
getEncodedImageString() - Method in interface org.tensorflow.proto.framework.Summary.ImageOrBuilder: Image data in encoded format.
getEncodingCase() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder
getEncodingCase() - Method in class org.tensorflow.proto.framework.TensorInfo
getEncodingCase() - Method in interface org.tensorflow.proto.framework.TensorInfoOrBuilder
getEndianness() - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder: .tensorflow.BundleHeaderProto.Endianness endianness = 2;
getEndianness() - Method in class org.tensorflow.proto.util.BundleHeaderProto: .tensorflow.BundleHeaderProto.Endianness endianness = 2;
getEndianness() - Method in interface org.tensorflow.proto.util.BundleHeaderProtoOrBuilder: .tensorflow.BundleHeaderProto.Endianness endianness = 2;
getEndiannessValue() - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder: .tensorflow.BundleHeaderProto.Endianness endianness = 2;
getEndiannessValue() - Method in class org.tensorflow.proto.util.BundleHeaderProto: .tensorflow.BundleHeaderProto.Endianness endianness = 2;
getEndiannessValue() - Method in interface org.tensorflow.proto.util.BundleHeaderProtoOrBuilder: .tensorflow.BundleHeaderProto.Endianness endianness = 2;
getEndpoint(int) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpoint(int) - Method in class org.tensorflow.proto.framework.ApiDef: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpoint(int) - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointBuilder(int) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointBuilderList() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointCount() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointCount() - Method in class org.tensorflow.proto.framework.ApiDef: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointCount() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointList() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointList() - Method in class org.tensorflow.proto.framework.ApiDef: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointList() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointOrBuilder(int) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointOrBuilder(int) - Method in class org.tensorflow.proto.framework.ApiDef: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointOrBuilder(int) - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointOrBuilderList() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointOrBuilderList() - Method in class org.tensorflow.proto.framework.ApiDef: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointOrBuilderList() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEnqueueOpName(int) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: A list of enqueue operations.
getEnqueueOpName(int) - Method in class org.tensorflow.proto.framework.QueueRunnerDef: A list of enqueue operations.
getEnqueueOpName(int) - Method in interface org.tensorflow.proto.framework.QueueRunnerDefOrBuilder: A list of enqueue operations.
getEnqueueOpNameBytes(int) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: A list of enqueue operations.
getEnqueueOpNameBytes(int) - Method in class org.tensorflow.proto.framework.QueueRunnerDef: A list of enqueue operations.
getEnqueueOpNameBytes(int) - Method in interface org.tensorflow.proto.framework.QueueRunnerDefOrBuilder: A list of enqueue operations.
getEnqueueOpNameCount() - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: A list of enqueue operations.
getEnqueueOpNameCount() - Method in class org.tensorflow.proto.framework.QueueRunnerDef: A list of enqueue operations.
getEnqueueOpNameCount() - Method in interface org.tensorflow.proto.framework.QueueRunnerDefOrBuilder: A list of enqueue operations.
getEnqueueOpNameList() - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: A list of enqueue operations.
getEnqueueOpNameList() - Method in class org.tensorflow.proto.framework.QueueRunnerDef: A list of enqueue operations.
getEnqueueOpNameList() - Method in interface org.tensorflow.proto.framework.QueueRunnerDefOrBuilder: A list of enqueue operations.
getEntries() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The list of tests or benchmarks in this run.
getEntries() - Method in class org.tensorflow.proto.util.testlog.TestResults: The list of tests or benchmarks in this run.
getEntries() - Method in interface org.tensorflow.proto.util.testlog.TestResultsOrBuilder: The list of tests or benchmarks in this run.
getEntriesBuilder() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The list of tests or benchmarks in this run.
getEntriesOrBuilder() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The list of tests or benchmarks in this run.
getEntriesOrBuilder() - Method in class org.tensorflow.proto.util.testlog.TestResults: The list of tests or benchmarks in this run.
getEntriesOrBuilder() - Method in interface org.tensorflow.proto.util.testlog.TestResultsOrBuilder: The list of tests or benchmarks in this run.
getEntry(int) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntry(int) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntry(int) - Method in interface org.tensorflow.proto.util.testlog.BenchmarkEntriesOrBuilder: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntryBuilder(int) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntryBuilderList() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntryCount() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntryCount() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntryCount() - Method in interface org.tensorflow.proto.util.testlog.BenchmarkEntriesOrBuilder: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntryList() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntryList() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntryList() - Method in interface org.tensorflow.proto.util.testlog.BenchmarkEntriesOrBuilder: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntryOrBuilder(int) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntryOrBuilder(int) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntryOrBuilder(int) - Method in interface org.tensorflow.proto.util.testlog.BenchmarkEntriesOrBuilder: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntryOrBuilderList() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntryOrBuilderList() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntryOrBuilderList() - Method in interface org.tensorflow.proto.util.testlog.BenchmarkEntriesOrBuilder: repeated .tensorflow.BenchmarkEntry entry = 1;
getEnvironment() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Deprecated.
getEnvironment() - Method in class org.tensorflow.proto.framework.DeviceProperties: Deprecated.
getEnvironment() - Method in interface org.tensorflow.proto.framework.DevicePropertiesOrBuilder: Deprecated.
getEnvironmentCount() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder
getEnvironmentCount() - Method in class org.tensorflow.proto.framework.DeviceProperties
getEnvironmentCount() - Method in interface org.tensorflow.proto.framework.DevicePropertiesOrBuilder: Version of the tools and libraries used with this device (e.g.
getEnvironmentMap() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Version of the tools and libraries used with this device (e.g.
getEnvironmentMap() - Method in class org.tensorflow.proto.framework.DeviceProperties: Version of the tools and libraries used with this device (e.g.
getEnvironmentMap() - Method in interface org.tensorflow.proto.framework.DevicePropertiesOrBuilder: Version of the tools and libraries used with this device (e.g.
getEnvironmentOrDefault(String, String) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Version of the tools and libraries used with this device (e.g.
getEnvironmentOrDefault(String, String) - Method in class org.tensorflow.proto.framework.DeviceProperties: Version of the tools and libraries used with this device (e.g.
getEnvironmentOrDefault(String, String) - Method in interface org.tensorflow.proto.framework.DevicePropertiesOrBuilder: Version of the tools and libraries used with this device (e.g.
getEnvironmentOrThrow(String) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Version of the tools and libraries used with this device (e.g.
getEnvironmentOrThrow(String) - Method in class org.tensorflow.proto.framework.DeviceProperties: Version of the tools and libraries used with this device (e.g.
getEnvironmentOrThrow(String) - Method in interface org.tensorflow.proto.framework.DevicePropertiesOrBuilder: Version of the tools and libraries used with this device (e.g.
getEnvVars() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder: Deprecated.
getEnvVars() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration: Deprecated.
getEnvVars() - Method in interface org.tensorflow.proto.util.testlog.RunConfigurationOrBuilder: Deprecated.
getEnvVarsCount() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder
getEnvVarsCount() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration
getEnvVarsCount() - Method in interface org.tensorflow.proto.util.testlog.RunConfigurationOrBuilder: Environment variables used to run the test/benchmark.
getEnvVarsMap() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder: Environment variables used to run the test/benchmark.
getEnvVarsMap() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration: Environment variables used to run the test/benchmark.
getEnvVarsMap() - Method in interface org.tensorflow.proto.util.testlog.RunConfigurationOrBuilder: Environment variables used to run the test/benchmark.
getEnvVarsOrDefault(String, String) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder: Environment variables used to run the test/benchmark.
getEnvVarsOrDefault(String, String) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration: Environment variables used to run the test/benchmark.
getEnvVarsOrDefault(String, String) - Method in interface org.tensorflow.proto.util.testlog.RunConfigurationOrBuilder: Environment variables used to run the test/benchmark.
getEnvVarsOrThrow(String) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder: Environment variables used to run the test/benchmark.
getEnvVarsOrThrow(String) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration: Environment variables used to run the test/benchmark.
getEnvVarsOrThrow(String) - Method in interface org.tensorflow.proto.util.testlog.RunConfigurationOrBuilder: Environment variables used to run the test/benchmark.
getErrors(int) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: Errors (if any) in the generation of planes.
getErrors(int) - Method in class org.tensorflow.proto.profiler.XSpace: Errors (if any) in the generation of planes.
getErrors(int) - Method in interface org.tensorflow.proto.profiler.XSpaceOrBuilder: Errors (if any) in the generation of planes.
getErrorsBytes(int) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: Errors (if any) in the generation of planes.
getErrorsBytes(int) - Method in class org.tensorflow.proto.profiler.XSpace: Errors (if any) in the generation of planes.
getErrorsBytes(int) - Method in interface org.tensorflow.proto.profiler.XSpaceOrBuilder: Errors (if any) in the generation of planes.
getErrorsCount() - Method in class org.tensorflow.proto.profiler.XSpace.Builder: Errors (if any) in the generation of planes.
getErrorsCount() - Method in class org.tensorflow.proto.profiler.XSpace: Errors (if any) in the generation of planes.
getErrorsCount() - Method in interface org.tensorflow.proto.profiler.XSpaceOrBuilder: Errors (if any) in the generation of planes.
getErrorsList() - Method in class org.tensorflow.proto.profiler.XSpace.Builder: Errors (if any) in the generation of planes.
getErrorsList() - Method in class org.tensorflow.proto.profiler.XSpace: Errors (if any) in the generation of planes.
getErrorsList() - Method in interface org.tensorflow.proto.profiler.XSpaceOrBuilder: Errors (if any) in the generation of planes.
getEventMetadata() - Method in class org.tensorflow.proto.profiler.XPlane.Builder: Deprecated.
getEventMetadata() - Method in class org.tensorflow.proto.profiler.XPlane: Deprecated.
getEventMetadata() - Method in interface org.tensorflow.proto.profiler.XPlaneOrBuilder: Deprecated.
getEventMetadataCount() - Method in class org.tensorflow.proto.profiler.XPlane.Builder
getEventMetadataCount() - Method in class org.tensorflow.proto.profiler.XPlane
getEventMetadataCount() - Method in interface org.tensorflow.proto.profiler.XPlaneOrBuilder: XEventMetadata map, each entry uses the XEventMetadata.id as key.
getEventMetadataMap() - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XEventMetadata map, each entry uses the XEventMetadata.id as key.
getEventMetadataMap() - Method in class org.tensorflow.proto.profiler.XPlane: XEventMetadata map, each entry uses the XEventMetadata.id as key.
getEventMetadataMap() - Method in interface org.tensorflow.proto.profiler.XPlaneOrBuilder: XEventMetadata map, each entry uses the XEventMetadata.id as key.
getEventMetadataOrDefault(long, XEventMetadata) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XEventMetadata map, each entry uses the XEventMetadata.id as key.
getEventMetadataOrDefault(long, XEventMetadata) - Method in class org.tensorflow.proto.profiler.XPlane: XEventMetadata map, each entry uses the XEventMetadata.id as key.
getEventMetadataOrDefault(long, XEventMetadata) - Method in interface org.tensorflow.proto.profiler.XPlaneOrBuilder: XEventMetadata map, each entry uses the XEventMetadata.id as key.
getEventMetadataOrThrow(long) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XEventMetadata map, each entry uses the XEventMetadata.id as key.
getEventMetadataOrThrow(long) - Method in class org.tensorflow.proto.profiler.XPlane: XEventMetadata map, each entry uses the XEventMetadata.id as key.
getEventMetadataOrThrow(long) - Method in interface org.tensorflow.proto.profiler.XPlaneOrBuilder: XEventMetadata map, each entry uses the XEventMetadata.id as key.
getEvents(int) - Method in class org.tensorflow.proto.profiler.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
getEvents(int) - Method in class org.tensorflow.proto.profiler.XLine: XEvents within the same XLine should not overlap in time, but they can be nested.
getEvents(int) - Method in interface org.tensorflow.proto.profiler.XLineOrBuilder: XEvents within the same XLine should not overlap in time, but they can be nested.
getEventsBuilder(int) - Method in class org.tensorflow.proto.profiler.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
getEventsBuilderList() - Method in class org.tensorflow.proto.profiler.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
getEventsCount() - Method in class org.tensorflow.proto.profiler.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
getEventsCount() - Method in class org.tensorflow.proto.profiler.XLine: XEvents within the same XLine should not overlap in time, but they can be nested.
getEventsCount() - Method in interface org.tensorflow.proto.profiler.XLineOrBuilder: XEvents within the same XLine should not overlap in time, but they can be nested.
getEventsList() - Method in class org.tensorflow.proto.profiler.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
getEventsList() - Method in class org.tensorflow.proto.profiler.XLine: XEvents within the same XLine should not overlap in time, but they can be nested.
getEventsList() - Method in interface org.tensorflow.proto.profiler.XLineOrBuilder: XEvents within the same XLine should not overlap in time, but they can be nested.
getEventsOrBuilder(int) - Method in class org.tensorflow.proto.profiler.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
getEventsOrBuilder(int) - Method in class org.tensorflow.proto.profiler.XLine: XEvents within the same XLine should not overlap in time, but they can be nested.
getEventsOrBuilder(int) - Method in interface org.tensorflow.proto.profiler.XLineOrBuilder: XEvents within the same XLine should not overlap in time, but they can be nested.
getEventsOrBuilderList() - Method in class org.tensorflow.proto.profiler.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
getEventsOrBuilderList() - Method in class org.tensorflow.proto.profiler.XLine: XEvents within the same XLine should not overlap in time, but they can be nested.
getEventsOrBuilderList() - Method in interface org.tensorflow.proto.profiler.XLineOrBuilder: XEvents within the same XLine should not overlap in time, but they can be nested.
getExecution() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Execution of an op or a Graph (e.g., a tf.function).
getExecution() - Method in class org.tensorflow.proto.util.DebugEvent: Execution of an op or a Graph (e.g., a tf.function).
getExecution() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder: Execution of an op or a Graph (e.g., a tf.function).
getExecutionBuilder() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Execution of an op or a Graph (e.g., a tf.function).
getExecutionOrBuilder() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Execution of an op or a Graph (e.g., a tf.function).
getExecutionOrBuilder() - Method in class org.tensorflow.proto.util.DebugEvent: Execution of an op or a Graph (e.g., a tf.function).
getExecutionOrBuilder() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder: Execution of an op or a Graph (e.g., a tf.function).
getExecutionTimeCase() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder
getExecutionTimeCase() - Method in class org.tensorflow.proto.framework.OpPerformance
getExecutionTimeCase() - Method in interface org.tensorflow.proto.framework.OpPerformanceOrBuilder
getExecutionTimeLogNormal() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: .tensorflow.LogNormalDistribution execution_time_log_normal = 11;
getExecutionTimeLogNormal() - Method in class org.tensorflow.proto.framework.OpPerformance: .tensorflow.LogNormalDistribution execution_time_log_normal = 11;
getExecutionTimeLogNormal() - Method in interface org.tensorflow.proto.framework.OpPerformanceOrBuilder: .tensorflow.LogNormalDistribution execution_time_log_normal = 11;
getExecutionTimeLogNormalBuilder() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: .tensorflow.LogNormalDistribution execution_time_log_normal = 11;
getExecutionTimeLogNormalOrBuilder() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: .tensorflow.LogNormalDistribution execution_time_log_normal = 11;
getExecutionTimeLogNormalOrBuilder() - Method in class org.tensorflow.proto.framework.OpPerformance: .tensorflow.LogNormalDistribution execution_time_log_normal = 11;
getExecutionTimeLogNormalOrBuilder() - Method in interface org.tensorflow.proto.framework.OpPerformanceOrBuilder: .tensorflow.LogNormalDistribution execution_time_log_normal = 11;
getExecutionTimeNormal() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: .tensorflow.NormalDistribution execution_time_normal = 10;
getExecutionTimeNormal() - Method in class org.tensorflow.proto.framework.OpPerformance: .tensorflow.NormalDistribution execution_time_normal = 10;
getExecutionTimeNormal() - Method in interface org.tensorflow.proto.framework.OpPerformanceOrBuilder: .tensorflow.NormalDistribution execution_time_normal = 10;
getExecutionTimeNormalBuilder() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: .tensorflow.NormalDistribution execution_time_normal = 10;
getExecutionTimeNormalOrBuilder() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: .tensorflow.NormalDistribution execution_time_normal = 10;
getExecutionTimeNormalOrBuilder() - Method in class org.tensorflow.proto.framework.OpPerformance: .tensorflow.NormalDistribution execution_time_normal = 10;
getExecutionTimeNormalOrBuilder() - Method in interface org.tensorflow.proto.framework.OpPerformanceOrBuilder: .tensorflow.NormalDistribution execution_time_normal = 10;
getExecutorType() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Which executor to use, the default executor will be used if it is an empty string or "DEFAULT"
getExecutorType() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental: Which executor to use, the default executor will be used if it is an empty string or "DEFAULT"
getExecutorType() - Method in interface org.tensorflow.proto.framework.ConfigProto.ExperimentalOrBuilder: Which executor to use, the default executor will be used if it is an empty string or "DEFAULT"
getExecutorTypeBytes() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Which executor to use, the default executor will be used if it is an empty string or "DEFAULT"
getExecutorTypeBytes() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental: Which executor to use, the default executor will be used if it is an empty string or "DEFAULT"
getExecutorTypeBytes() - Method in interface org.tensorflow.proto.framework.ConfigProto.ExperimentalOrBuilder: Which executor to use, the default executor will be used if it is an empty string or "DEFAULT"
getExitCode() - Method in class org.tensorflow.proto.util.RequestedExitCode.Builder: int32 exit_code = 1;
getExitCode() - Method in class org.tensorflow.proto.util.RequestedExitCode: int32 exit_code = 1;
getExitCode() - Method in interface org.tensorflow.proto.util.RequestedExitCodeOrBuilder: int32 exit_code = 1;
getExitCode() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder: .tensorflow.RequestedExitCode exit_code = 3;
getExitCode() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest: .tensorflow.RequestedExitCode exit_code = 3;
getExitCode() - Method in interface org.tensorflow.proto.util.WorkerHeartbeatRequestOrBuilder: .tensorflow.RequestedExitCode exit_code = 3;
getExitCodeBuilder() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder: .tensorflow.RequestedExitCode exit_code = 3;
getExitCodeOrBuilder() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder: .tensorflow.RequestedExitCode exit_code = 3;
getExitCodeOrBuilder() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest: .tensorflow.RequestedExitCode exit_code = 3;
getExitCodeOrBuilder() - Method in interface org.tensorflow.proto.util.WorkerHeartbeatRequestOrBuilder: .tensorflow.RequestedExitCode exit_code = 3;
getExperimental() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: .tensorflow.ConfigProto.Experimental experimental = 16;
getExperimental() - Method in class org.tensorflow.proto.framework.ConfigProto: .tensorflow.ConfigProto.Experimental experimental = 16;
getExperimental() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: .tensorflow.ConfigProto.Experimental experimental = 16;
getExperimental() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
getExperimental() - Method in class org.tensorflow.proto.framework.GPUOptions: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
getExperimental() - Method in interface org.tensorflow.proto.framework.GPUOptionsOrBuilder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
getExperimental() - Method in class org.tensorflow.proto.framework.RunOptions.Builder: .tensorflow.RunOptions.Experimental experimental = 8;
getExperimental() - Method in class org.tensorflow.proto.framework.RunOptions: .tensorflow.RunOptions.Experimental experimental = 8;
getExperimental() - Method in interface org.tensorflow.proto.framework.RunOptionsOrBuilder: .tensorflow.RunOptions.Experimental experimental = 8;
getExperimentalBuilder() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: .tensorflow.ConfigProto.Experimental experimental = 16;
getExperimentalBuilder() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
getExperimentalBuilder() - Method in class org.tensorflow.proto.framework.RunOptions.Builder: .tensorflow.RunOptions.Experimental experimental = 8;
getExperimentalDebugInfo() - Method in class org.tensorflow.proto.framework.NodeDef.Builder: This stores debug information associated with the node.
getExperimentalDebugInfo() - Method in class org.tensorflow.proto.framework.NodeDef: This stores debug information associated with the node.
getExperimentalDebugInfo() - Method in interface org.tensorflow.proto.framework.NodeDefOrBuilder: This stores debug information associated with the node.
getExperimentalDebugInfoBuilder() - Method in class org.tensorflow.proto.framework.NodeDef.Builder: This stores debug information associated with the node.
getExperimentalDebugInfoOrBuilder() - Method in class org.tensorflow.proto.framework.NodeDef.Builder: This stores debug information associated with the node.
getExperimentalDebugInfoOrBuilder() - Method in class org.tensorflow.proto.framework.NodeDef: This stores debug information associated with the node.
getExperimentalDebugInfoOrBuilder() - Method in interface org.tensorflow.proto.framework.NodeDefOrBuilder: This stores debug information associated with the node.
getExperimentalDisableCompressedTensorOptimization() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Disable optimizations that assume compressed tensors.
getExperimentalDisableCompressedTensorOptimization() - Method in class org.tensorflow.proto.framework.RewriterConfig: Disable optimizations that assume compressed tensors.
getExperimentalDisableCompressedTensorOptimization() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Disable optimizations that assume compressed tensors.
getExperimentalDisableFoldingQuantizationEmulation() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Disable folding quantization emulation ops such as FakeQuantWithMinMax* and QuantizeAndDequantize*.
getExperimentalDisableFoldingQuantizationEmulation() - Method in class org.tensorflow.proto.framework.RewriterConfig: Disable folding quantization emulation ops such as FakeQuantWithMinMax* and QuantizeAndDequantize*.
getExperimentalDisableFoldingQuantizationEmulation() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Disable folding quantization emulation ops such as FakeQuantWithMinMax* and QuantizeAndDequantize*.
getExperimentalDistributedVariableComponents(int) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponents(int) - Method in class org.tensorflow.proto.framework.SavedVariable: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponents(int) - Method in interface org.tensorflow.proto.framework.SavedVariableOrBuilder: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponentsBuilder(int) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponentsBuilderList() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponentsCount() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponentsCount() - Method in class org.tensorflow.proto.framework.SavedVariable: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponentsCount() - Method in interface org.tensorflow.proto.framework.SavedVariableOrBuilder: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponentsList() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponentsList() - Method in class org.tensorflow.proto.framework.SavedVariable: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponentsList() - Method in interface org.tensorflow.proto.framework.SavedVariableOrBuilder: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponentsOrBuilder(int) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponentsOrBuilder(int) - Method in class org.tensorflow.proto.framework.SavedVariable: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponentsOrBuilder(int) - Method in interface org.tensorflow.proto.framework.SavedVariableOrBuilder: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponentsOrBuilderList() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponentsOrBuilderList() - Method in class org.tensorflow.proto.framework.SavedVariable: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponentsOrBuilderList() - Method in interface org.tensorflow.proto.framework.SavedVariableOrBuilder: List of component variables for a distributed variable.
getExperimentalFullType() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: Experimental.
getExperimentalFullType() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef: Experimental.
getExperimentalFullType() - Method in interface org.tensorflow.proto.framework.OpDef.ArgDefOrBuilder: Experimental.
getExperimentalFullTypeBuilder() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: Experimental.
getExperimentalFullTypeOrBuilder() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: Experimental.
getExperimentalFullTypeOrBuilder() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef: Experimental.
getExperimentalFullTypeOrBuilder() - Method in interface org.tensorflow.proto.framework.OpDef.ArgDefOrBuilder: Experimental.
getExperimentalOrBuilder() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: .tensorflow.ConfigProto.Experimental experimental = 16;
getExperimentalOrBuilder() - Method in class org.tensorflow.proto.framework.ConfigProto: .tensorflow.ConfigProto.Experimental experimental = 16;
getExperimentalOrBuilder() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: .tensorflow.ConfigProto.Experimental experimental = 16;
getExperimentalOrBuilder() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
getExperimentalOrBuilder() - Method in class org.tensorflow.proto.framework.GPUOptions: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
getExperimentalOrBuilder() - Method in interface org.tensorflow.proto.framework.GPUOptionsOrBuilder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
getExperimentalOrBuilder() - Method in class org.tensorflow.proto.framework.RunOptions.Builder: .tensorflow.RunOptions.Experimental experimental = 8;
getExperimentalOrBuilder() - Method in class org.tensorflow.proto.framework.RunOptions: .tensorflow.RunOptions.Experimental experimental = 8;
getExperimentalOrBuilder() - Method in interface org.tensorflow.proto.framework.RunOptionsOrBuilder: .tensorflow.RunOptions.Experimental experimental = 8;
getExperimentalType() - Method in class org.tensorflow.proto.framework.NodeDef.Builder: The complete type of this node.
getExperimentalType() - Method in class org.tensorflow.proto.framework.NodeDef: The complete type of this node.
getExperimentalType() - Method in interface org.tensorflow.proto.framework.NodeDefOrBuilder: The complete type of this node.
getExperimentalTypeBuilder() - Method in class org.tensorflow.proto.framework.NodeDef.Builder: The complete type of this node.
getExperimentalTypeOrBuilder() - Method in class org.tensorflow.proto.framework.NodeDef.Builder: The complete type of this node.
getExperimentalTypeOrBuilder() - Method in class org.tensorflow.proto.framework.NodeDef: The complete type of this node.
getExperimentalTypeOrBuilder() - Method in interface org.tensorflow.proto.framework.NodeDefOrBuilder: The complete type of this node.
getExplanation() - Method in class org.tensorflow.proto.framework.OpDeprecation.Builder: Explanation of why it was deprecated and what to use instead.
getExplanation() - Method in class org.tensorflow.proto.framework.OpDeprecation: Explanation of why it was deprecated and what to use instead.
getExplanation() - Method in interface org.tensorflow.proto.framework.OpDeprecationOrBuilder: Explanation of why it was deprecated and what to use instead.
getExplanationBytes() - Method in class org.tensorflow.proto.framework.OpDeprecation.Builder: Explanation of why it was deprecated and what to use instead.
getExplanationBytes() - Method in class org.tensorflow.proto.framework.OpDeprecation: Explanation of why it was deprecated and what to use instead.
getExplanationBytes() - Method in interface org.tensorflow.proto.framework.OpDeprecationOrBuilder: Explanation of why it was deprecated and what to use instead.
getExtent(int) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
getExtent(int) - Method in class org.tensorflow.proto.framework.TensorSliceProto: Extent of the slice in all tensor dimensions.
getExtent(int) - Method in interface org.tensorflow.proto.framework.TensorSliceProtoOrBuilder: Extent of the slice in all tensor dimensions.
getExtentBuilder(int) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
getExtentBuilderList() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
getExtentCount() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
getExtentCount() - Method in class org.tensorflow.proto.framework.TensorSliceProto: Extent of the slice in all tensor dimensions.
getExtentCount() - Method in interface org.tensorflow.proto.framework.TensorSliceProtoOrBuilder: Extent of the slice in all tensor dimensions.
getExtentList() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
getExtentList() - Method in class org.tensorflow.proto.framework.TensorSliceProto: Extent of the slice in all tensor dimensions.
getExtentList() - Method in interface org.tensorflow.proto.framework.TensorSliceProtoOrBuilder: Extent of the slice in all tensor dimensions.
getExtentOrBuilder(int) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
getExtentOrBuilder(int) - Method in class org.tensorflow.proto.framework.TensorSliceProto: Extent of the slice in all tensor dimensions.
getExtentOrBuilder(int) - Method in interface org.tensorflow.proto.framework.TensorSliceProtoOrBuilder: Extent of the slice in all tensor dimensions.
getExtentOrBuilderList() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
getExtentOrBuilderList() - Method in class org.tensorflow.proto.framework.TensorSliceProto: Extent of the slice in all tensor dimensions.
getExtentOrBuilderList() - Method in interface org.tensorflow.proto.framework.TensorSliceProtoOrBuilder: Extent of the slice in all tensor dimensions.
getExternalStatePolicy() - Method in class org.tensorflow.proto.data.Options.Builder: .tensorflow.data.ExternalStatePolicy external_state_policy = 6;
getExternalStatePolicy() - Method in class org.tensorflow.proto.data.Options: .tensorflow.data.ExternalStatePolicy external_state_policy = 6;
getExternalStatePolicy() - Method in interface org.tensorflow.proto.data.OptionsOrBuilder: .tensorflow.data.ExternalStatePolicy external_state_policy = 6;
getExternalStatePolicyValue() - Method in class org.tensorflow.proto.data.Options.Builder: .tensorflow.data.ExternalStatePolicy external_state_policy = 6;
getExternalStatePolicyValue() - Method in class org.tensorflow.proto.data.Options: .tensorflow.data.ExternalStatePolicy external_state_policy = 6;
getExternalStatePolicyValue() - Method in interface org.tensorflow.proto.data.OptionsOrBuilder: .tensorflow.data.ExternalStatePolicy external_state_policy = 6;
getExternalValues() - Method in class org.tensorflow.proto.framework.ValuesDef.Builder: Deprecated.
getExternalValues() - Method in class org.tensorflow.proto.framework.ValuesDef: Deprecated.
getExternalValues() - Method in interface org.tensorflow.proto.framework.ValuesDefOrBuilder: Deprecated.
getExternalValuesCount() - Method in class org.tensorflow.proto.framework.ValuesDef.Builder
getExternalValuesCount() - Method in class org.tensorflow.proto.framework.ValuesDef
getExternalValuesCount() - Method in interface org.tensorflow.proto.framework.ValuesDefOrBuilder: Value names referenced by but external to this context.
getExternalValuesMap() - Method in class org.tensorflow.proto.framework.ValuesDef.Builder: Value names referenced by but external to this context.
getExternalValuesMap() - Method in class org.tensorflow.proto.framework.ValuesDef: Value names referenced by but external to this context.
getExternalValuesMap() - Method in interface org.tensorflow.proto.framework.ValuesDefOrBuilder: Value names referenced by but external to this context.
getExternalValuesOrDefault(String, String) - Method in class org.tensorflow.proto.framework.ValuesDef.Builder: Value names referenced by but external to this context.
getExternalValuesOrDefault(String, String) - Method in class org.tensorflow.proto.framework.ValuesDef: Value names referenced by but external to this context.
getExternalValuesOrDefault(String, String) - Method in interface org.tensorflow.proto.framework.ValuesDefOrBuilder: Value names referenced by but external to this context.
getExternalValuesOrThrow(String) - Method in class org.tensorflow.proto.framework.ValuesDef.Builder: Value names referenced by but external to this context.
getExternalValuesOrThrow(String) - Method in class org.tensorflow.proto.framework.ValuesDef: Value names referenced by but external to this context.
getExternalValuesOrThrow(String) - Method in interface org.tensorflow.proto.framework.ValuesDefOrBuilder: Value names referenced by but external to this context.
getExtras() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Deprecated.
getExtras() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry: Deprecated.
getExtras() - Method in interface org.tensorflow.proto.util.testlog.BenchmarkEntryOrBuilder: Deprecated.
getExtrasCount() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder
getExtrasCount() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
getExtrasCount() - Method in interface org.tensorflow.proto.util.testlog.BenchmarkEntryOrBuilder: Generic map from result key to value.
getExtrasMap() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Generic map from result key to value.
getExtrasMap() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry: Generic map from result key to value.
getExtrasMap() - Method in interface org.tensorflow.proto.util.testlog.BenchmarkEntryOrBuilder: Generic map from result key to value.
getExtrasOrDefault(String, EntryValue) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Generic map from result key to value.
getExtrasOrDefault(String, EntryValue) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry: Generic map from result key to value.
getExtrasOrDefault(String, EntryValue) - Method in interface org.tensorflow.proto.util.testlog.BenchmarkEntryOrBuilder: Generic map from result key to value.
getExtrasOrThrow(String) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Generic map from result key to value.
getExtrasOrThrow(String) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry: Generic map from result key to value.
getExtrasOrThrow(String) - Method in interface org.tensorflow.proto.util.testlog.BenchmarkEntryOrBuilder: Generic map from result key to value.
getF() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "float"
getF() - Method in class org.tensorflow.proto.framework.AttrValue: "float"
getF(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(float)"
getF(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(float)"
getF(int) - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(float)"
getF() - Method in interface org.tensorflow.proto.framework.AttrValueOrBuilder: "float"
getFailOnOptimizerErrors() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: If true, any optimization pass failing will cause the MetaOptimizer to stop with an error.
getFailOnOptimizerErrors() - Method in class org.tensorflow.proto.framework.RewriterConfig: If true, any optimization pass failing will cause the MetaOptimizer to stop with an error.
getFailOnOptimizerErrors() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: If true, any optimization pass failing will cause the MetaOptimizer to stop with an error.
getFaultTolerantMode() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: Whether to run in fault tolerant mode, where dispatcher state is saved across restarts.
getFaultTolerantMode() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: Whether to run in fault tolerant mode, where dispatcher state is saved across restarts.
getFaultTolerantMode() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: Whether to run in fault tolerant mode, where dispatcher state is saved across restarts.
getFCount() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(float)"
getFCount() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(float)"
getFCount() - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(float)"
getFeature(int) - Method in class org.tensorflow.proto.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
getFeature(int) - Method in class org.tensorflow.proto.example.FeatureList: repeated .tensorflow.Feature feature = 1;
getFeature(int) - Method in interface org.tensorflow.proto.example.FeatureListOrBuilder: repeated .tensorflow.Feature feature = 1;
getFeature() - Method in class org.tensorflow.proto.example.Features.Builder: Deprecated.
getFeature() - Method in class org.tensorflow.proto.example.Features: Deprecated.
getFeature() - Method in interface org.tensorflow.proto.example.FeaturesOrBuilder: Deprecated.
getFeatureBuilder(int) - Method in class org.tensorflow.proto.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
getFeatureBuilderList() - Method in class org.tensorflow.proto.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
getFeatureCount() - Method in class org.tensorflow.proto.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
getFeatureCount() - Method in class org.tensorflow.proto.example.FeatureList: repeated .tensorflow.Feature feature = 1;
getFeatureCount() - Method in interface org.tensorflow.proto.example.FeatureListOrBuilder: repeated .tensorflow.Feature feature = 1;
getFeatureCount() - Method in class org.tensorflow.proto.example.Features.Builder
getFeatureCount() - Method in class org.tensorflow.proto.example.Features
getFeatureCount() - Method in interface org.tensorflow.proto.example.FeaturesOrBuilder: Map from feature name to feature.
getFeatureList() - Method in class org.tensorflow.proto.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
getFeatureList() - Method in class org.tensorflow.proto.example.FeatureList: repeated .tensorflow.Feature feature = 1;
getFeatureList() - Method in interface org.tensorflow.proto.example.FeatureListOrBuilder: repeated .tensorflow.Feature feature = 1;
getFeatureList() - Method in class org.tensorflow.proto.example.FeatureLists.Builder: Deprecated.
getFeatureList() - Method in class org.tensorflow.proto.example.FeatureLists: Deprecated.
getFeatureList() - Method in interface org.tensorflow.proto.example.FeatureListsOrBuilder: Deprecated.
getFeatureListCount() - Method in class org.tensorflow.proto.example.FeatureLists.Builder
getFeatureListCount() - Method in class org.tensorflow.proto.example.FeatureLists
getFeatureListCount() - Method in interface org.tensorflow.proto.example.FeatureListsOrBuilder: Map from feature name to feature list.
getFeatureListMap() - Method in class org.tensorflow.proto.example.FeatureLists.Builder: Map from feature name to feature list.
getFeatureListMap() - Method in class org.tensorflow.proto.example.FeatureLists: Map from feature name to feature list.
getFeatureListMap() - Method in interface org.tensorflow.proto.example.FeatureListsOrBuilder: Map from feature name to feature list.
getFeatureListOrDefault(String, FeatureList) - Method in class org.tensorflow.proto.example.FeatureLists.Builder: Map from feature name to feature list.
getFeatureListOrDefault(String, FeatureList) - Method in class org.tensorflow.proto.example.FeatureLists: Map from feature name to feature list.
getFeatureListOrDefault(String, FeatureList) - Method in interface org.tensorflow.proto.example.FeatureListsOrBuilder: Map from feature name to feature list.
getFeatureListOrThrow(String) - Method in class org.tensorflow.proto.example.FeatureLists.Builder: Map from feature name to feature list.
getFeatureListOrThrow(String) - Method in class org.tensorflow.proto.example.FeatureLists: Map from feature name to feature list.
getFeatureListOrThrow(String) - Method in interface org.tensorflow.proto.example.FeatureListsOrBuilder: Map from feature name to feature list.
getFeatureLists() - Method in class org.tensorflow.proto.example.SequenceExample.Builder: .tensorflow.FeatureLists feature_lists = 2;
getFeatureLists() - Method in class org.tensorflow.proto.example.SequenceExample: .tensorflow.FeatureLists feature_lists = 2;
getFeatureLists() - Method in interface org.tensorflow.proto.example.SequenceExampleOrBuilder: .tensorflow.FeatureLists feature_lists = 2;
getFeatureListsBuilder() - Method in class org.tensorflow.proto.example.SequenceExample.Builder: .tensorflow.FeatureLists feature_lists = 2;
getFeatureListsOrBuilder() - Method in class org.tensorflow.proto.example.SequenceExample.Builder: .tensorflow.FeatureLists feature_lists = 2;
getFeatureListsOrBuilder() - Method in class org.tensorflow.proto.example.SequenceExample: .tensorflow.FeatureLists feature_lists = 2;
getFeatureListsOrBuilder() - Method in interface org.tensorflow.proto.example.SequenceExampleOrBuilder: .tensorflow.FeatureLists feature_lists = 2;
getFeatureMap() - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder: Deprecated.
getFeatureMap() - Method in class org.tensorflow.proto.example.ExampleParserConfiguration: Deprecated.
getFeatureMap() - Method in interface org.tensorflow.proto.example.ExampleParserConfigurationOrBuilder: Deprecated.
getFeatureMap() - Method in class org.tensorflow.proto.example.Features.Builder: Map from feature name to feature.
getFeatureMap() - Method in class org.tensorflow.proto.example.Features: Map from feature name to feature.
getFeatureMap() - Method in interface org.tensorflow.proto.example.FeaturesOrBuilder: Map from feature name to feature.
getFeatureMapCount() - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder
getFeatureMapCount() - Method in class org.tensorflow.proto.example.ExampleParserConfiguration
getFeatureMapCount() - Method in interface org.tensorflow.proto.example.ExampleParserConfigurationOrBuilder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureMapMap() - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureMapMap() - Method in class org.tensorflow.proto.example.ExampleParserConfiguration: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureMapMap() - Method in interface org.tensorflow.proto.example.ExampleParserConfigurationOrBuilder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureMapOrDefault(String, FeatureConfiguration) - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureMapOrDefault(String, FeatureConfiguration) - Method in class org.tensorflow.proto.example.ExampleParserConfiguration: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureMapOrDefault(String, FeatureConfiguration) - Method in interface org.tensorflow.proto.example.ExampleParserConfigurationOrBuilder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureMapOrThrow(String) - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureMapOrThrow(String) - Method in class org.tensorflow.proto.example.ExampleParserConfiguration: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureMapOrThrow(String) - Method in interface org.tensorflow.proto.example.ExampleParserConfigurationOrBuilder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureOrBuilder(int) - Method in class org.tensorflow.proto.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
getFeatureOrBuilder(int) - Method in class org.tensorflow.proto.example.FeatureList: repeated .tensorflow.Feature feature = 1;
getFeatureOrBuilder(int) - Method in interface org.tensorflow.proto.example.FeatureListOrBuilder: repeated .tensorflow.Feature feature = 1;
getFeatureOrBuilderList() - Method in class org.tensorflow.proto.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
getFeatureOrBuilderList() - Method in class org.tensorflow.proto.example.FeatureList: repeated .tensorflow.Feature feature = 1;
getFeatureOrBuilderList() - Method in interface org.tensorflow.proto.example.FeatureListOrBuilder: repeated .tensorflow.Feature feature = 1;
getFeatureOrDefault(String, Feature) - Method in class org.tensorflow.proto.example.Features.Builder: Map from feature name to feature.
getFeatureOrDefault(String, Feature) - Method in class org.tensorflow.proto.example.Features: Map from feature name to feature.
getFeatureOrDefault(String, Feature) - Method in interface org.tensorflow.proto.example.FeaturesOrBuilder: Map from feature name to feature.
getFeatureOrThrow(String) - Method in class org.tensorflow.proto.example.Features.Builder: Map from feature name to feature.
getFeatureOrThrow(String) - Method in class org.tensorflow.proto.example.Features: Map from feature name to feature.
getFeatureOrThrow(String) - Method in interface org.tensorflow.proto.example.FeaturesOrBuilder: Map from feature name to feature.
getFeatures() - Method in class org.tensorflow.proto.example.Example.Builder: .tensorflow.Features features = 1;
getFeatures() - Method in class org.tensorflow.proto.example.Example: .tensorflow.Features features = 1;
getFeatures() - Method in interface org.tensorflow.proto.example.ExampleOrBuilder: .tensorflow.Features features = 1;
getFeaturesBuilder() - Method in class org.tensorflow.proto.example.Example.Builder: .tensorflow.Features features = 1;
getFeaturesOrBuilder() - Method in class org.tensorflow.proto.example.Example.Builder: .tensorflow.Features features = 1;
getFeaturesOrBuilder() - Method in class org.tensorflow.proto.example.Example: .tensorflow.Features features = 1;
getFeaturesOrBuilder() - Method in interface org.tensorflow.proto.example.ExampleOrBuilder: .tensorflow.Features features = 1;
getFeed(int) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Tensors to be fed in the callable.
getFeed(int) - Method in class org.tensorflow.proto.framework.CallableOptions: Tensors to be fed in the callable.
getFeed(int) - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: Tensors to be fed in the callable.
getFeedBytes(int) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Tensors to be fed in the callable.
getFeedBytes(int) - Method in class org.tensorflow.proto.framework.CallableOptions: Tensors to be fed in the callable.
getFeedBytes(int) - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: Tensors to be fed in the callable.
getFeedCount() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Tensors to be fed in the callable.
getFeedCount() - Method in class org.tensorflow.proto.framework.CallableOptions: Tensors to be fed in the callable.
getFeedCount() - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: Tensors to be fed in the callable.
getFeedDevices() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Deprecated.
getFeedDevices() - Method in class org.tensorflow.proto.framework.CallableOptions: Deprecated.
getFeedDevices() - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: Deprecated.
getFeedDevicesCount() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder
getFeedDevicesCount() - Method in class org.tensorflow.proto.framework.CallableOptions
getFeedDevicesCount() - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedDevicesMap() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedDevicesMap() - Method in class org.tensorflow.proto.framework.CallableOptions: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedDevicesMap() - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedDevicesOrDefault(String, String) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedDevicesOrDefault(String, String) - Method in class org.tensorflow.proto.framework.CallableOptions: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedDevicesOrDefault(String, String) - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedDevicesOrThrow(String) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedDevicesOrThrow(String) - Method in class org.tensorflow.proto.framework.CallableOptions: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedDevicesOrThrow(String) - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedList() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Tensors to be fed in the callable.
getFeedList() - Method in class org.tensorflow.proto.framework.CallableOptions: Tensors to be fed in the callable.
getFeedList() - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: Tensors to be fed in the callable.
getFetch(int) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Fetches.
getFetch(int) - Method in class org.tensorflow.proto.framework.CallableOptions: Fetches.
getFetch(int) - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: Fetches.
getFetchBytes(int) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Fetches.
getFetchBytes(int) - Method in class org.tensorflow.proto.framework.CallableOptions: Fetches.
getFetchBytes(int) - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: Fetches.
getFetchCount() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Fetches.
getFetchCount() - Method in class org.tensorflow.proto.framework.CallableOptions: Fetches.
getFetchCount() - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: Fetches.
getFetchDevices() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Deprecated.
getFetchDevices() - Method in class org.tensorflow.proto.framework.CallableOptions: Deprecated.
getFetchDevices() - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: Deprecated.
getFetchDevicesCount() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder
getFetchDevicesCount() - Method in class org.tensorflow.proto.framework.CallableOptions
getFetchDevicesCount() - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: map<string, string> fetch_devices = 7;
getFetchDevicesMap() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: map<string, string> fetch_devices = 7;
getFetchDevicesMap() - Method in class org.tensorflow.proto.framework.CallableOptions: map<string, string> fetch_devices = 7;
getFetchDevicesMap() - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: map<string, string> fetch_devices = 7;
getFetchDevicesOrDefault(String, String) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: map<string, string> fetch_devices = 7;
getFetchDevicesOrDefault(String, String) - Method in class org.tensorflow.proto.framework.CallableOptions: map<string, string> fetch_devices = 7;
getFetchDevicesOrDefault(String, String) - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: map<string, string> fetch_devices = 7;
getFetchDevicesOrThrow(String) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: map<string, string> fetch_devices = 7;
getFetchDevicesOrThrow(String) - Method in class org.tensorflow.proto.framework.CallableOptions: map<string, string> fetch_devices = 7;
getFetchDevicesOrThrow(String) - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: map<string, string> fetch_devices = 7;
getFetchList() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Fetches.
getFetchList() - Method in class org.tensorflow.proto.framework.CallableOptions: Fetches.
getFetchList() - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: Fetches.
getFetchSkipSync() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: By default, RunCallable() will synchronize the GPU stream before returning fetched tensors on a GPU device, to ensure that the values in those tensors have been produced.
getFetchSkipSync() - Method in class org.tensorflow.proto.framework.CallableOptions: By default, RunCallable() will synchronize the GPU stream before returning fetched tensors on a GPU device, to ensure that the values in those tensors have been produced.
getFetchSkipSync() - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: By default, RunCallable() will synchronize the GPU stream before returning fetched tensors on a GPU device, to ensure that the values in those tensors have been produced.
getFields() - Method in class org.tensorflow.proto.framework.DictValue.Builder: Deprecated.
getFields() - Method in class org.tensorflow.proto.framework.DictValue: Deprecated.
getFields() - Method in interface org.tensorflow.proto.framework.DictValueOrBuilder: Deprecated.
getFieldsCount() - Method in class org.tensorflow.proto.framework.DictValue.Builder
getFieldsCount() - Method in class org.tensorflow.proto.framework.DictValue
getFieldsCount() - Method in interface org.tensorflow.proto.framework.DictValueOrBuilder: map<string, .tensorflow.StructuredValue> fields = 1;
getFieldsMap() - Method in class org.tensorflow.proto.framework.DictValue.Builder: map<string, .tensorflow.StructuredValue> fields = 1;
getFieldsMap() - Method in class org.tensorflow.proto.framework.DictValue: map<string, .tensorflow.StructuredValue> fields = 1;
getFieldsMap() - Method in interface org.tensorflow.proto.framework.DictValueOrBuilder: map<string, .tensorflow.StructuredValue> fields = 1;
getFieldsOrDefault(String, StructuredValue) - Method in class org.tensorflow.proto.framework.DictValue.Builder: map<string, .tensorflow.StructuredValue> fields = 1;
getFieldsOrDefault(String, StructuredValue) - Method in class org.tensorflow.proto.framework.DictValue: map<string, .tensorflow.StructuredValue> fields = 1;
getFieldsOrDefault(String, StructuredValue) - Method in interface org.tensorflow.proto.framework.DictValueOrBuilder: map<string, .tensorflow.StructuredValue> fields = 1;
getFieldsOrThrow(String) - Method in class org.tensorflow.proto.framework.DictValue.Builder: map<string, .tensorflow.StructuredValue> fields = 1;
getFieldsOrThrow(String) - Method in class org.tensorflow.proto.framework.DictValue: map<string, .tensorflow.StructuredValue> fields = 1;
getFieldsOrThrow(String) - Method in interface org.tensorflow.proto.framework.DictValueOrBuilder: map<string, .tensorflow.StructuredValue> fields = 1;
getFileIndex() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder: File name index, which can be used to retrieve the file name string from `files`.
getFileIndex() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol: File name index, which can be used to retrieve the file name string from `files`.
getFileIndex() - Method in interface org.tensorflow.proto.framework.GraphDebugInfo.FileLineColOrBuilder: File name index, which can be used to retrieve the file name string from `files`.
getFileLineCol() - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder: Stack frame, i.e., a frame of a stack trace, containing information regarding the file name, line number, function name, code content of the line, and column number (if available).
getFileLineCol() - Method in class org.tensorflow.proto.util.StackFrameWithId: Stack frame, i.e., a frame of a stack trace, containing information regarding the file name, line number, function name, code content of the line, and column number (if available).
getFileLineCol() - Method in interface org.tensorflow.proto.util.StackFrameWithIdOrBuilder: Stack frame, i.e., a frame of a stack trace, containing information regarding the file name, line number, function name, code content of the line, and column number (if available).
getFileLineColBuilder() - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder: Stack frame, i.e., a frame of a stack trace, containing information regarding the file name, line number, function name, code content of the line, and column number (if available).
getFileLineColOrBuilder() - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder: Stack frame, i.e., a frame of a stack trace, containing information regarding the file name, line number, function name, code content of the line, and column number (if available).
getFileLineColOrBuilder() - Method in class org.tensorflow.proto.util.StackFrameWithId: Stack frame, i.e., a frame of a stack trace, containing information regarding the file name, line number, function name, code content of the line, and column number (if available).
getFileLineColOrBuilder() - Method in interface org.tensorflow.proto.util.StackFrameWithIdOrBuilder: Stack frame, i.e., a frame of a stack trace, containing information regarding the file name, line number, function name, code content of the line, and column number (if available).
getFileLineCols(int) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder: Each line in the stack trace.
getFileLineCols(int) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace: Each line in the stack trace.
getFileLineCols(int) - Method in interface org.tensorflow.proto.framework.GraphDebugInfo.StackTraceOrBuilder: Each line in the stack trace.
getFileLineColsBuilder(int) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder: Each line in the stack trace.
getFileLineColsBuilderList() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder: Each line in the stack trace.
getFileLineColsCount() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder: Each line in the stack trace.
getFileLineColsCount() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace: Each line in the stack trace.
getFileLineColsCount() - Method in interface org.tensorflow.proto.framework.GraphDebugInfo.StackTraceOrBuilder: Each line in the stack trace.
getFileLineColsList() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder: Each line in the stack trace.
getFileLineColsList() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace: Each line in the stack trace.
getFileLineColsList() - Method in interface org.tensorflow.proto.framework.GraphDebugInfo.StackTraceOrBuilder: Each line in the stack trace.
getFileLineColsOrBuilder(int) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder: Each line in the stack trace.
getFileLineColsOrBuilder(int) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace: Each line in the stack trace.
getFileLineColsOrBuilder(int) - Method in interface org.tensorflow.proto.framework.GraphDebugInfo.StackTraceOrBuilder: Each line in the stack trace.
getFileLineColsOrBuilderList() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder: Each line in the stack trace.
getFileLineColsOrBuilderList() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace: Each line in the stack trace.
getFileLineColsOrBuilderList() - Method in interface org.tensorflow.proto.framework.GraphDebugInfo.StackTraceOrBuilder: Each line in the stack trace.
getFilename() - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder: The filename within an assets directory.
getFilename() - Method in class org.tensorflow.proto.framework.AssetFileDef: The filename within an assets directory.
getFilename() - Method in interface org.tensorflow.proto.framework.AssetFileDefOrBuilder: The filename within an assets directory.
getFilenameBytes() - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder: The filename within an assets directory.
getFilenameBytes() - Method in class org.tensorflow.proto.framework.AssetFileDef: The filename within an assets directory.
getFilenameBytes() - Method in interface org.tensorflow.proto.framework.AssetFileDefOrBuilder: The filename within an assets directory.
getFilenameTensorName() - Method in class org.tensorflow.proto.util.SaverDef.Builder: The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.
getFilenameTensorName() - Method in class org.tensorflow.proto.util.SaverDef: The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.
getFilenameTensorName() - Method in interface org.tensorflow.proto.util.SaverDefOrBuilder: The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.
getFilenameTensorNameBytes() - Method in class org.tensorflow.proto.util.SaverDef.Builder: The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.
getFilenameTensorNameBytes() - Method in class org.tensorflow.proto.util.SaverDef: The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.
getFilenameTensorNameBytes() - Method in interface org.tensorflow.proto.util.SaverDefOrBuilder: The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.
getFilePath() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder: Path to the source code file.
getFilePath() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile: Path to the source code file.
getFilePath() - Method in interface org.tensorflow.proto.framework.DebuggedSourceFileOrBuilder: Path to the source code file.
getFilePath() - Method in class org.tensorflow.proto.util.SourceFile.Builder: Path to the file.
getFilePath() - Method in class org.tensorflow.proto.util.SourceFile: Path to the file.
getFilePath() - Method in interface org.tensorflow.proto.util.SourceFileOrBuilder: Path to the file.
getFilePathBytes() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder: Path to the source code file.
getFilePathBytes() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile: Path to the source code file.
getFilePathBytes() - Method in interface org.tensorflow.proto.framework.DebuggedSourceFileOrBuilder: Path to the source code file.
getFilePathBytes() - Method in class org.tensorflow.proto.util.SourceFile.Builder: Path to the file.
getFilePathBytes() - Method in class org.tensorflow.proto.util.SourceFile: Path to the file.
getFilePathBytes() - Method in interface org.tensorflow.proto.util.SourceFileOrBuilder: Path to the file.
getFiles(int) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder: This stores all the source code file names and can be indexed by the `file_index`.
getFiles(int) - Method in class org.tensorflow.proto.framework.GraphDebugInfo: This stores all the source code file names and can be indexed by the `file_index`.
getFiles(int) - Method in interface org.tensorflow.proto.framework.GraphDebugInfoOrBuilder: This stores all the source code file names and can be indexed by the `file_index`.
getFilesBytes(int) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder: This stores all the source code file names and can be indexed by the `file_index`.
getFilesBytes(int) - Method in class org.tensorflow.proto.framework.GraphDebugInfo: This stores all the source code file names and can be indexed by the `file_index`.
getFilesBytes(int) - Method in interface org.tensorflow.proto.framework.GraphDebugInfoOrBuilder: This stores all the source code file names and can be indexed by the `file_index`.
getFilesCount() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder: This stores all the source code file names and can be indexed by the `file_index`.
getFilesCount() - Method in class org.tensorflow.proto.framework.GraphDebugInfo: This stores all the source code file names and can be indexed by the `file_index`.
getFilesCount() - Method in interface org.tensorflow.proto.framework.GraphDebugInfoOrBuilder: This stores all the source code file names and can be indexed by the `file_index`.
getFilesList() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder: This stores all the source code file names and can be indexed by the `file_index`.
getFilesList() - Method in class org.tensorflow.proto.framework.GraphDebugInfo: This stores all the source code file names and can be indexed by the `file_index`.
getFilesList() - Method in interface org.tensorflow.proto.framework.GraphDebugInfoOrBuilder: This stores all the source code file names and can be indexed by the `file_index`.
getFileVersion() - Method in class org.tensorflow.proto.util.DebugMetadata.Builder: Version of the DebugEvent file format.
getFileVersion() - Method in class org.tensorflow.proto.util.DebugMetadata: Version of the DebugEvent file format.
getFileVersion() - Method in interface org.tensorflow.proto.util.DebugMetadataOrBuilder: Version of the DebugEvent file format.
getFileVersion() - Method in class org.tensorflow.proto.util.Event.Builder: An event file was started, with the specified version.
getFileVersion() - Method in class org.tensorflow.proto.util.Event: An event file was started, with the specified version.
getFileVersion() - Method in interface org.tensorflow.proto.util.EventOrBuilder: An event file was started, with the specified version.
getFileVersionBytes() - Method in class org.tensorflow.proto.util.DebugMetadata.Builder: Version of the DebugEvent file format.
getFileVersionBytes() - Method in class org.tensorflow.proto.util.DebugMetadata: Version of the DebugEvent file format.
getFileVersionBytes() - Method in interface org.tensorflow.proto.util.DebugMetadataOrBuilder: Version of the DebugEvent file format.
getFileVersionBytes() - Method in class org.tensorflow.proto.util.Event.Builder: An event file was started, with the specified version.
getFileVersionBytes() - Method in class org.tensorflow.proto.util.Event: An event file was started, with the specified version.
getFileVersionBytes() - Method in interface org.tensorflow.proto.util.EventOrBuilder: An event file was started, with the specified version.
getFilterFusion() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder: bool filter_fusion = 6;
getFilterFusion() - Method in class org.tensorflow.proto.data.OptimizationOptions: bool filter_fusion = 6;
getFilterFusion() - Method in interface org.tensorflow.proto.data.OptimizationOptionsOrBuilder: bool filter_fusion = 6;
getFinalized() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: bool finalized = 1000;
getFinalized() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord: bool finalized = 1000;
getFinalized() - Method in interface org.tensorflow.proto.data.experimental.SnapshotMetadataRecordOrBuilder: bool finalized = 1000;
getFixedLenFeature() - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
getFixedLenFeature() - Method in class org.tensorflow.proto.example.FeatureConfiguration: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
getFixedLenFeature() - Method in interface org.tensorflow.proto.example.FeatureConfigurationOrBuilder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
getFixedLenFeatureBuilder() - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
getFixedLenFeatureOrBuilder() - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
getFixedLenFeatureOrBuilder() - Method in class org.tensorflow.proto.example.FeatureConfiguration: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
getFixedLenFeatureOrBuilder() - Method in interface org.tensorflow.proto.example.FeatureConfigurationOrBuilder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
getFList() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(float)"
getFList() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(float)"
getFList() - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(float)"
getFloat64Value() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a double-precision floating-point value (a Python `float`).
getFloat64Value() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents a double-precision floating-point value (a Python `float`).
getFloat64Value() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents a double-precision floating-point value (a Python `float`).
getFloatList() - Method in class org.tensorflow.proto.example.Feature.Builder: .tensorflow.FloatList float_list = 2;
getFloatList() - Method in class org.tensorflow.proto.example.Feature: .tensorflow.FloatList float_list = 2;
getFloatList() - Method in interface org.tensorflow.proto.example.FeatureOrBuilder: .tensorflow.FloatList float_list = 2;
getFloatList() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.FloatList float_list = 4;
getFloatList() - Method in class org.tensorflow.proto.framework.CollectionDef: .tensorflow.CollectionDef.FloatList float_list = 4;
getFloatList() - Method in interface org.tensorflow.proto.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.FloatList float_list = 4;
getFloatListBuilder() - Method in class org.tensorflow.proto.example.Feature.Builder: .tensorflow.FloatList float_list = 2;
getFloatListBuilder() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.FloatList float_list = 4;
getFloatListOrBuilder() - Method in class org.tensorflow.proto.example.Feature.Builder: .tensorflow.FloatList float_list = 2;
getFloatListOrBuilder() - Method in class org.tensorflow.proto.example.Feature: .tensorflow.FloatList float_list = 2;
getFloatListOrBuilder() - Method in interface org.tensorflow.proto.example.FeatureOrBuilder: .tensorflow.FloatList float_list = 2;
getFloatListOrBuilder() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.FloatList float_list = 4;
getFloatListOrBuilder() - Method in class org.tensorflow.proto.framework.CollectionDef: .tensorflow.CollectionDef.FloatList float_list = 4;
getFloatListOrBuilder() - Method in interface org.tensorflow.proto.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.FloatList float_list = 4;
getFloatVal(int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_FLOAT.
getFloatVal(int) - Method in class org.tensorflow.proto.framework.TensorProto: DT_FLOAT.
getFloatVal(int) - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_FLOAT.
getFloatValCount() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_FLOAT.
getFloatValCount() - Method in class org.tensorflow.proto.framework.TensorProto: DT_FLOAT.
getFloatValCount() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_FLOAT.
getFloatValList() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_FLOAT.
getFloatValList() - Method in class org.tensorflow.proto.framework.TensorProto: DT_FLOAT.
getFloatValList() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_FLOAT.
getForceGpuCompatible() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: Force all tensors to be gpu_compatible.
getForceGpuCompatible() - Method in class org.tensorflow.proto.framework.GPUOptions: Force all tensors to be gpu_compatible.
getForceGpuCompatible() - Method in interface org.tensorflow.proto.framework.GPUOptionsOrBuilder: Force all tensors to be gpu_compatible.
getFragmentationMetric() - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder: float fragmentation_metric = 5;
getFragmentationMetric() - Method in class org.tensorflow.proto.util.MemAllocatorStats: float fragmentation_metric = 5;
getFragmentationMetric() - Method in interface org.tensorflow.proto.util.MemAllocatorStatsOrBuilder: float fragmentation_metric = 5;
getFreedAtCount() - Method in class org.tensorflow.proto.util.MemChunk.Builder: uint64 freed_at_count = 6;
getFreedAtCount() - Method in class org.tensorflow.proto.util.MemChunk: uint64 freed_at_count = 6;
getFreedAtCount() - Method in interface org.tensorflow.proto.util.MemChunkOrBuilder: uint64 freed_at_count = 6;
getFrequency() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Core Frequency in Mhz
getFrequency() - Method in class org.tensorflow.proto.framework.DeviceProperties: Core Frequency in Mhz
getFrequency() - Method in interface org.tensorflow.proto.framework.DevicePropertiesOrBuilder: Core Frequency in Mhz
getFromTensor() - Method in class org.tensorflow.proto.framework.TensorConnection.Builder: A tensor name.
getFromTensor() - Method in class org.tensorflow.proto.framework.TensorConnection: A tensor name.
getFromTensor() - Method in interface org.tensorflow.proto.framework.TensorConnectionOrBuilder: A tensor name.
getFromTensorBytes() - Method in class org.tensorflow.proto.framework.TensorConnection.Builder: A tensor name.
getFromTensorBytes() - Method in class org.tensorflow.proto.framework.TensorConnection: A tensor name.
getFromTensorBytes() - Method in interface org.tensorflow.proto.framework.TensorConnectionOrBuilder: A tensor name.
getFullargspec() - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder: Full arg spec from inspect.getfullargspec().
getFullargspec() - Method in class org.tensorflow.proto.framework.FunctionSpec: Full arg spec from inspect.getfullargspec().
getFullargspec() - Method in interface org.tensorflow.proto.framework.FunctionSpecOrBuilder: Full arg spec from inspect.getfullargspec().
getFullargspecBuilder() - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder: Full arg spec from inspect.getfullargspec().
getFullargspecOrBuilder() - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder: Full arg spec from inspect.getfullargspec().
getFullargspecOrBuilder() - Method in class org.tensorflow.proto.framework.FunctionSpec: Full arg spec from inspect.getfullargspec().
getFullargspecOrBuilder() - Method in interface org.tensorflow.proto.framework.FunctionSpecOrBuilder: Full arg spec from inspect.getfullargspec().
getFullName() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder: Name of the full variable of which this is a slice.
getFullName() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef: Name of the full variable of which this is a slice.
getFullName() - Method in interface org.tensorflow.proto.framework.SaveSliceInfoDefOrBuilder: Name of the full variable of which this is a slice.
getFullName() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: The full name of the variable/tensor, if applicable.
getFullName() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor: The full name of the variable/tensor, if applicable.
getFullName() - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensorOrBuilder: The full name of the variable/tensor, if applicable.
getFullNameBytes() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder: Name of the full variable of which this is a slice.
getFullNameBytes() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef: Name of the full variable of which this is a slice.
getFullNameBytes() - Method in interface org.tensorflow.proto.framework.SaveSliceInfoDefOrBuilder: Name of the full variable of which this is a slice.
getFullNameBytes() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: The full name of the variable/tensor, if applicable.
getFullNameBytes() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor: The full name of the variable/tensor, if applicable.
getFullNameBytes() - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensorOrBuilder: The full name of the variable/tensor, if applicable.
getFullShape(int) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder: Shape of the full variable.
getFullShape(int) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef: Shape of the full variable.
getFullShape(int) - Method in interface org.tensorflow.proto.framework.SaveSliceInfoDefOrBuilder: Shape of the full variable.
getFullShapeCount() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder: Shape of the full variable.
getFullShapeCount() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef: Shape of the full variable.
getFullShapeCount() - Method in interface org.tensorflow.proto.framework.SaveSliceInfoDefOrBuilder: Shape of the full variable.
getFullShapeList() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder: Shape of the full variable.
getFullShapeList() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef: Shape of the full variable.
getFullShapeList() - Method in interface org.tensorflow.proto.framework.SaveSliceInfoDefOrBuilder: Shape of the full variable.
getFunc() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "func" represents a function.
getFunc() - Method in class org.tensorflow.proto.framework.AttrValue: "func" represents a function.
getFunc(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(attr)"
getFunc(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(attr)"
getFunc(int) - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(attr)"
getFunc() - Method in interface org.tensorflow.proto.framework.AttrValueOrBuilder: "func" represents a function.
getFunc() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder: Name of function contains the file line.
getFunc() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol: Name of function contains the file line.
getFunc() - Method in interface org.tensorflow.proto.framework.GraphDebugInfo.FileLineColOrBuilder: Name of function contains the file line.
getFuncBuilder() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "func" represents a function.
getFuncBuilder(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(attr)"
getFuncBuilderList() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(attr)"
getFuncBytes() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder: Name of function contains the file line.
getFuncBytes() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol: Name of function contains the file line.
getFuncBytes() - Method in interface org.tensorflow.proto.framework.GraphDebugInfo.FileLineColOrBuilder: Name of function contains the file line.
getFuncCount() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(attr)"
getFuncCount() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(attr)"
getFuncCount() - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(attr)"
getFuncList() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(attr)"
getFuncList() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(attr)"
getFuncList() - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(attr)"
getFuncOrBuilder() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "func" represents a function.
getFuncOrBuilder() - Method in class org.tensorflow.proto.framework.AttrValue: "func" represents a function.
getFuncOrBuilder(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(attr)"
getFuncOrBuilder(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(attr)"
getFuncOrBuilder(int) - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(attr)"
getFuncOrBuilder() - Method in interface org.tensorflow.proto.framework.AttrValueOrBuilder: "func" represents a function.
getFuncOrBuilderList() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(attr)"
getFuncOrBuilderList() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(attr)"
getFuncOrBuilderList() - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(attr)"
getFunction(String) - Method in class org.tensorflow.Graph: Get the function attached to the graph with the given native name.
getFunction(int) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
getFunction(int) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary: repeated .tensorflow.FunctionDef function = 1;
getFunction(int) - Method in interface org.tensorflow.proto.framework.FunctionDefLibraryOrBuilder: repeated .tensorflow.FunctionDef function = 1;
getFunction() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedFunction function = 6;
getFunction() - Method in class org.tensorflow.proto.framework.SavedObject: .tensorflow.SavedFunction function = 6;
getFunction() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: .tensorflow.SavedFunction function = 6;
getFunctionAliases() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: Deprecated.
getFunctionAliases() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef: Deprecated.
getFunctionAliases() - Method in interface org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDefOrBuilder: Deprecated.
getFunctionAliasesCount() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder
getFunctionAliasesCount() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
getFunctionAliasesCount() - Method in interface org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDefOrBuilder: FunctionDef name to aliases mapping.
getFunctionAliasesMap() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: FunctionDef name to aliases mapping.
getFunctionAliasesMap() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef: FunctionDef name to aliases mapping.
getFunctionAliasesMap() - Method in interface org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDefOrBuilder: FunctionDef name to aliases mapping.
getFunctionAliasesOrDefault(String, String) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: FunctionDef name to aliases mapping.
getFunctionAliasesOrDefault(String, String) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef: FunctionDef name to aliases mapping.
getFunctionAliasesOrDefault(String, String) - Method in interface org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDefOrBuilder: FunctionDef name to aliases mapping.
getFunctionAliasesOrThrow(String) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: FunctionDef name to aliases mapping.
getFunctionAliasesOrThrow(String) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef: FunctionDef name to aliases mapping.
getFunctionAliasesOrThrow(String) - Method in interface org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDefOrBuilder: FunctionDef name to aliases mapping.
getFunctionBuilder(int) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
getFunctionBuilder() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedFunction function = 6;
getFunctionBuilderList() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
getFunctionCount() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
getFunctionCount() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary: repeated .tensorflow.FunctionDef function = 1;
getFunctionCount() - Method in interface org.tensorflow.proto.framework.FunctionDefLibraryOrBuilder: repeated .tensorflow.FunctionDef function = 1;
getFunctionDef() - Method in class org.tensorflow.ConcreteFunction: Get the FunctionDef proto.
getFunctionGraphs(int) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphs(int) - Method in class org.tensorflow.proto.framework.RunMetadata: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphs(int) - Method in interface org.tensorflow.proto.framework.RunMetadataOrBuilder: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphsBuilder(int) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphsBuilderList() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphsCount() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphsCount() - Method in class org.tensorflow.proto.framework.RunMetadata: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphsCount() - Method in interface org.tensorflow.proto.framework.RunMetadataOrBuilder: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphsList() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphsList() - Method in class org.tensorflow.proto.framework.RunMetadata: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphsList() - Method in interface org.tensorflow.proto.framework.RunMetadataOrBuilder: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphsOrBuilder(int) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphsOrBuilder(int) - Method in class org.tensorflow.proto.framework.RunMetadata: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphsOrBuilder(int) - Method in interface org.tensorflow.proto.framework.RunMetadataOrBuilder: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphsOrBuilderList() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphsOrBuilderList() - Method in class org.tensorflow.proto.framework.RunMetadata: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphsOrBuilderList() - Method in interface org.tensorflow.proto.framework.RunMetadataOrBuilder: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionList() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
getFunctionList() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary: repeated .tensorflow.FunctionDef function = 1;
getFunctionList() - Method in interface org.tensorflow.proto.framework.FunctionDefLibraryOrBuilder: repeated .tensorflow.FunctionDef function = 1;
getFunctionName() - Method in class org.tensorflow.proto.framework.GradientDef.Builder: The function name.
getFunctionName() - Method in class org.tensorflow.proto.framework.GradientDef: The function name.
getFunctionName() - Method in interface org.tensorflow.proto.framework.GradientDefOrBuilder: The function name.
getFunctionNameBytes() - Method in class org.tensorflow.proto.framework.GradientDef.Builder: The function name.
getFunctionNameBytes() - Method in class org.tensorflow.proto.framework.GradientDef: The function name.
getFunctionNameBytes() - Method in interface org.tensorflow.proto.framework.GradientDefOrBuilder: The function name.
getFunctionOptimization() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Function optimizations (default is ON).
getFunctionOptimization() - Method in class org.tensorflow.proto.framework.RewriterConfig: Function optimizations (default is ON).
getFunctionOptimization() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Function optimizations (default is ON).
getFunctionOptimizationValue() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Function optimizations (default is ON).
getFunctionOptimizationValue() - Method in class org.tensorflow.proto.framework.RewriterConfig: Function optimizations (default is ON).
getFunctionOptimizationValue() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Function optimizations (default is ON).
getFunctionOrBuilder(int) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
getFunctionOrBuilder(int) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary: repeated .tensorflow.FunctionDef function = 1;
getFunctionOrBuilder(int) - Method in interface org.tensorflow.proto.framework.FunctionDefLibraryOrBuilder: repeated .tensorflow.FunctionDef function = 1;
getFunctionOrBuilder() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedFunction function = 6;
getFunctionOrBuilder() - Method in class org.tensorflow.proto.framework.SavedObject: .tensorflow.SavedFunction function = 6;
getFunctionOrBuilder() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: .tensorflow.SavedFunction function = 6;
getFunctionOrBuilderList() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
getFunctionOrBuilderList() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary: repeated .tensorflow.FunctionDef function = 1;
getFunctionOrBuilderList() - Method in interface org.tensorflow.proto.framework.FunctionDefLibraryOrBuilder: repeated .tensorflow.FunctionDef function = 1;
getFunctions() - Method in class org.tensorflow.Graph: Get the functions attached to the graph.
getFunctionSpec() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder: The spec of the function that this ConcreteFunction is traced from.
getFunctionSpec() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction: The spec of the function that this ConcreteFunction is traced from.
getFunctionSpec() - Method in interface org.tensorflow.proto.framework.SavedBareConcreteFunctionOrBuilder: The spec of the function that this ConcreteFunction is traced from.
getFunctionSpec() - Method in class org.tensorflow.proto.framework.SavedFunction.Builder: .tensorflow.FunctionSpec function_spec = 2;
getFunctionSpec() - Method in class org.tensorflow.proto.framework.SavedFunction: .tensorflow.FunctionSpec function_spec = 2;
getFunctionSpec() - Method in interface org.tensorflow.proto.framework.SavedFunctionOrBuilder: .tensorflow.FunctionSpec function_spec = 2;
getFunctionSpecBuilder() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder: The spec of the function that this ConcreteFunction is traced from.
getFunctionSpecBuilder() - Method in class org.tensorflow.proto.framework.SavedFunction.Builder: .tensorflow.FunctionSpec function_spec = 2;
getFunctionSpecOrBuilder() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder: The spec of the function that this ConcreteFunction is traced from.
getFunctionSpecOrBuilder() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction: The spec of the function that this ConcreteFunction is traced from.
getFunctionSpecOrBuilder() - Method in interface org.tensorflow.proto.framework.SavedBareConcreteFunctionOrBuilder: The spec of the function that this ConcreteFunction is traced from.
getFunctionSpecOrBuilder() - Method in class org.tensorflow.proto.framework.SavedFunction.Builder: .tensorflow.FunctionSpec function_spec = 2;
getFunctionSpecOrBuilder() - Method in class org.tensorflow.proto.framework.SavedFunction: .tensorflow.FunctionSpec function_spec = 2;
getFunctionSpecOrBuilder() - Method in interface org.tensorflow.proto.framework.SavedFunctionOrBuilder: .tensorflow.FunctionSpec function_spec = 2;
getGlobalJitLevel() - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder: .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
getGlobalJitLevel() - Method in class org.tensorflow.proto.framework.OptimizerOptions: .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
getGlobalJitLevel() - Method in interface org.tensorflow.proto.framework.OptimizerOptionsOrBuilder: .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
getGlobalJitLevelValue() - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder: .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
getGlobalJitLevelValue() - Method in class org.tensorflow.proto.framework.OptimizerOptions: .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
getGlobalJitLevelValue() - Method in interface org.tensorflow.proto.framework.OptimizerOptionsOrBuilder: .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
getGlobalName() - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto.Builder: The global name of the threadpool.
getGlobalName() - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto: The global name of the threadpool.
getGlobalName() - Method in interface org.tensorflow.proto.framework.ThreadPoolOptionProtoOrBuilder: The global name of the threadpool.
getGlobalNameBytes() - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto.Builder: The global name of the threadpool.
getGlobalNameBytes() - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto: The global name of the threadpool.
getGlobalNameBytes() - Method in interface org.tensorflow.proto.framework.ThreadPoolOptionProtoOrBuilder: The global name of the threadpool.
getGlobalStep() - Method in class org.tensorflow.proto.framework.DebugOptions.Builder: Caller-specified global step count.
getGlobalStep() - Method in class org.tensorflow.proto.framework.DebugOptions: Caller-specified global step count.
getGlobalStep() - Method in interface org.tensorflow.proto.framework.DebugOptionsOrBuilder: Caller-specified global step count.
getGpuOptions() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Options that apply to all GPUs.
getGpuOptions() - Method in class org.tensorflow.proto.framework.ConfigProto: Options that apply to all GPUs.
getGpuOptions() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: Options that apply to all GPUs.
getGpuOptionsBuilder() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Options that apply to all GPUs.
getGpuOptionsOrBuilder() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Options that apply to all GPUs.
getGpuOptionsOrBuilder() - Method in class org.tensorflow.proto.framework.ConfigProto: Options that apply to all GPUs.
getGpuOptionsOrBuilder() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: Options that apply to all GPUs.
getGradient(int) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
getGradient(int) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary: repeated .tensorflow.GradientDef gradient = 2;
getGradient(int) - Method in interface org.tensorflow.proto.framework.FunctionDefLibraryOrBuilder: repeated .tensorflow.GradientDef gradient = 2;
getGradientBuilder(int) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
getGradientBuilderList() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
getGradientCount() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
getGradientCount() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary: repeated .tensorflow.GradientDef gradient = 2;
getGradientCount() - Method in interface org.tensorflow.proto.framework.FunctionDefLibraryOrBuilder: repeated .tensorflow.GradientDef gradient = 2;
getGradientFunc() - Method in class org.tensorflow.proto.framework.GradientDef.Builder: The gradient function's name.
getGradientFunc() - Method in class org.tensorflow.proto.framework.GradientDef: The gradient function's name.
getGradientFunc() - Method in interface org.tensorflow.proto.framework.GradientDefOrBuilder: The gradient function's name.
getGradientFunc() - Method in class org.tensorflow.proto.framework.RegisteredGradient.Builder: The gradient function's name.
getGradientFunc() - Method in class org.tensorflow.proto.framework.RegisteredGradient: The gradient function's name.
getGradientFunc() - Method in interface org.tensorflow.proto.framework.RegisteredGradientOrBuilder: The gradient function's name.
getGradientFuncBytes() - Method in class org.tensorflow.proto.framework.GradientDef.Builder: The gradient function's name.
getGradientFuncBytes() - Method in class org.tensorflow.proto.framework.GradientDef: The gradient function's name.
getGradientFuncBytes() - Method in interface org.tensorflow.proto.framework.GradientDefOrBuilder: The gradient function's name.
getGradientFuncBytes() - Method in class org.tensorflow.proto.framework.RegisteredGradient.Builder: The gradient function's name.
getGradientFuncBytes() - Method in class org.tensorflow.proto.framework.RegisteredGradient: The gradient function's name.
getGradientFuncBytes() - Method in interface org.tensorflow.proto.framework.RegisteredGradientOrBuilder: The gradient function's name.
getGradientList() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
getGradientList() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary: repeated .tensorflow.GradientDef gradient = 2;
getGradientList() - Method in interface org.tensorflow.proto.framework.FunctionDefLibraryOrBuilder: repeated .tensorflow.GradientDef gradient = 2;
getGradientOrBuilder(int) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
getGradientOrBuilder(int) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary: repeated .tensorflow.GradientDef gradient = 2;
getGradientOrBuilder(int) - Method in interface org.tensorflow.proto.framework.FunctionDefLibraryOrBuilder: repeated .tensorflow.GradientDef gradient = 2;
getGradientOrBuilderList() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
getGradientOrBuilderList() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary: repeated .tensorflow.GradientDef gradient = 2;
getGradientOrBuilderList() - Method in interface org.tensorflow.proto.framework.FunctionDefLibraryOrBuilder: repeated .tensorflow.GradientDef gradient = 2;
getGraphDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: GraphDef.
getGraphDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef: GraphDef.
getGraphDef() - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: GraphDef.
getGraphDef() - Method in class org.tensorflow.proto.util.Event.Builder: An encoded version of a GraphDef.
getGraphDef() - Method in class org.tensorflow.proto.util.Event: An encoded version of a GraphDef.
getGraphDef() - Method in interface org.tensorflow.proto.util.EventOrBuilder: An encoded version of a GraphDef.
getGraphDefBuilder() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: GraphDef.
getGraphDefOrBuilder() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: GraphDef.
getGraphDefOrBuilder() - Method in class org.tensorflow.proto.framework.MetaGraphDef: GraphDef.
getGraphDefOrBuilder() - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: GraphDef.
getGraphExecutionTrace() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
getGraphExecutionTrace() - Method in class org.tensorflow.proto.util.DebugEvent: A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
getGraphExecutionTrace() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder: A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
getGraphExecutionTraceBuilder() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
getGraphExecutionTraceOrBuilder() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
getGraphExecutionTraceOrBuilder() - Method in class org.tensorflow.proto.util.DebugEvent: A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
getGraphExecutionTraceOrBuilder() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder: A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
getGraphHash() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: Stores the fingerprint of the graph that describes the dataset that is snapshotted.
getGraphHash() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord: Stores the fingerprint of the graph that describes the dataset that is snapshotted.
getGraphHash() - Method in interface org.tensorflow.proto.data.experimental.SnapshotMetadataRecordOrBuilder: Stores the fingerprint of the graph that describes the dataset that is snapshotted.
getGraphHashBytes() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: Stores the fingerprint of the graph that describes the dataset that is snapshotted.
getGraphHashBytes() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord: Stores the fingerprint of the graph that describes the dataset that is snapshotted.
getGraphHashBytes() - Method in interface org.tensorflow.proto.data.experimental.SnapshotMetadataRecordOrBuilder: Stores the fingerprint of the graph that describes the dataset that is snapshotted.
getGraphId() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: The ID of the graph (i.e., FuncGraph) executed here: applicable only to the execution of a FuncGraph.
getGraphId() - Method in class org.tensorflow.proto.util.DebugEvent: The ID of the graph (i.e., FuncGraph) executed here: applicable only to the execution of a FuncGraph.
getGraphId() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder: The ID of the graph (i.e., FuncGraph) executed here: applicable only to the execution of a FuncGraph.
getGraphId() - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: An ID for the graph.
getGraphId() - Method in class org.tensorflow.proto.util.DebuggedGraph: An ID for the graph.
getGraphId() - Method in interface org.tensorflow.proto.util.DebuggedGraphOrBuilder: An ID for the graph.
getGraphId() - Method in class org.tensorflow.proto.util.Execution.Builder: The graph that's executed: applicable only to the eager execution of a FuncGraph.
getGraphId() - Method in class org.tensorflow.proto.util.Execution: The graph that's executed: applicable only to the eager execution of a FuncGraph.
getGraphId() - Method in interface org.tensorflow.proto.util.ExecutionOrBuilder: The graph that's executed: applicable only to the eager execution of a FuncGraph.
getGraphId() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Unique ID of the graph (generated by debugger).
getGraphId() - Method in class org.tensorflow.proto.util.GraphOpCreation: Unique ID of the graph (generated by debugger).
getGraphId() - Method in interface org.tensorflow.proto.util.GraphOpCreationOrBuilder: Unique ID of the graph (generated by debugger).
getGraphIdBytes() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: The ID of the graph (i.e., FuncGraph) executed here: applicable only to the execution of a FuncGraph.
getGraphIdBytes() - Method in class org.tensorflow.proto.util.DebugEvent: The ID of the graph (i.e., FuncGraph) executed here: applicable only to the execution of a FuncGraph.
getGraphIdBytes() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder: The ID of the graph (i.e., FuncGraph) executed here: applicable only to the execution of a FuncGraph.
getGraphIdBytes() - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: An ID for the graph.
getGraphIdBytes() - Method in class org.tensorflow.proto.util.DebuggedGraph: An ID for the graph.
getGraphIdBytes() - Method in interface org.tensorflow.proto.util.DebuggedGraphOrBuilder: An ID for the graph.
getGraphIdBytes() - Method in class org.tensorflow.proto.util.Execution.Builder: The graph that's executed: applicable only to the eager execution of a FuncGraph.
getGraphIdBytes() - Method in class org.tensorflow.proto.util.Execution: The graph that's executed: applicable only to the eager execution of a FuncGraph.
getGraphIdBytes() - Method in interface org.tensorflow.proto.util.ExecutionOrBuilder: The graph that's executed: applicable only to the eager execution of a FuncGraph.
getGraphIdBytes() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Unique ID of the graph (generated by debugger).
getGraphIdBytes() - Method in class org.tensorflow.proto.util.GraphOpCreation: Unique ID of the graph (generated by debugger).
getGraphIdBytes() - Method in interface org.tensorflow.proto.util.GraphOpCreationOrBuilder: Unique ID of the graph (generated by debugger).
getGraphInputNodeInfo(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph
getGraphInputNodeInfo(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo: Input Node parameters of transferred graph
getGraphInputNodeInfo(int) - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: Input Node parameters of transferred graph
getGraphInputNodeInfoBuilder(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph
getGraphInputNodeInfoBuilderList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph
getGraphInputNodeInfoCount() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph
getGraphInputNodeInfoCount() - Method in class org.tensorflow.proto.framework.GraphTransferInfo: Input Node parameters of transferred graph
getGraphInputNodeInfoCount() - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: Input Node parameters of transferred graph
getGraphInputNodeInfoList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph
getGraphInputNodeInfoList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo: Input Node parameters of transferred graph
getGraphInputNodeInfoList() - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: Input Node parameters of transferred graph
getGraphInputNodeInfoOrBuilder(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph
getGraphInputNodeInfoOrBuilder(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo: Input Node parameters of transferred graph
getGraphInputNodeInfoOrBuilder(int) - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: Input Node parameters of transferred graph
getGraphInputNodeInfoOrBuilderList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph
getGraphInputNodeInfoOrBuilderList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo: Input Node parameters of transferred graph
getGraphInputNodeInfoOrBuilderList() - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: Input Node parameters of transferred graph
getGraphName() - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: Name of the graph (if available).
getGraphName() - Method in class org.tensorflow.proto.util.DebuggedGraph: Name of the graph (if available).
getGraphName() - Method in interface org.tensorflow.proto.util.DebuggedGraphOrBuilder: Name of the graph (if available).
getGraphName() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Name of the graph that the op is a part of (if available).
getGraphName() - Method in class org.tensorflow.proto.util.GraphOpCreation: Name of the graph that the op is a part of (if available).
getGraphName() - Method in interface org.tensorflow.proto.util.GraphOpCreationOrBuilder: Name of the graph that the op is a part of (if available).
getGraphNameBytes() - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: Name of the graph (if available).
getGraphNameBytes() - Method in class org.tensorflow.proto.util.DebuggedGraph: Name of the graph (if available).
getGraphNameBytes() - Method in interface org.tensorflow.proto.util.DebuggedGraphOrBuilder: Name of the graph (if available).
getGraphNameBytes() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Name of the graph that the op is a part of (if available).
getGraphNameBytes() - Method in class org.tensorflow.proto.util.GraphOpCreation: Name of the graph that the op is a part of (if available).
getGraphNameBytes() - Method in interface org.tensorflow.proto.util.GraphOpCreationOrBuilder: Name of the graph that the op is a part of (if available).
getGraphOp(Graph, Node) - Static method in class org.tensorflow.BaseGradientAdapter: Make a GraphOperation from a native Node
getGraphOpCreation() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
getGraphOpCreation() - Method in class org.tensorflow.proto.util.DebugEvent: The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
getGraphOpCreation() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder: The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
getGraphOpCreationBuilder() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
getGraphOpCreationOrBuilder() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
getGraphOpCreationOrBuilder() - Method in class org.tensorflow.proto.util.DebugEvent: The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
getGraphOpCreationOrBuilder() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder: The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
getGraphOpName() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: Name of the op (in the OpDef) to specify the API for.
getGraphOpName() - Method in class org.tensorflow.proto.framework.ApiDef: Name of the op (in the OpDef) to specify the API for.
getGraphOpName() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: Name of the op (in the OpDef) to specify the API for.
getGraphOpNameBytes() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: Name of the op (in the OpDef) to specify the API for.
getGraphOpNameBytes() - Method in class org.tensorflow.proto.framework.ApiDef: Name of the op (in the OpDef) to specify the API for.
getGraphOpNameBytes() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: Name of the op (in the OpDef) to specify the API for.
getGraphOptions() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Options that apply to all graphs.
getGraphOptions() - Method in class org.tensorflow.proto.framework.ConfigProto: Options that apply to all graphs.
getGraphOptions() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: Options that apply to all graphs.
getGraphOptionsBuilder() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Options that apply to all graphs.
getGraphOptionsOrBuilder() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Options that apply to all graphs.
getGraphOptionsOrBuilder() - Method in class org.tensorflow.proto.framework.ConfigProto: Options that apply to all graphs.
getGraphOptionsOrBuilder() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: Options that apply to all graphs.
getGraphOutputNodeInfo(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfo(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfo(int) - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoBuilder(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoBuilderList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoCount() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoCount() - Method in class org.tensorflow.proto.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoCount() - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoList() - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoOrBuilder(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoOrBuilder(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoOrBuilder(int) - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoOrBuilderList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoOrBuilderList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoOrBuilderList() - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getHalfVal(int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_HALF, DT_BFLOAT16.
getHalfVal(int) - Method in class org.tensorflow.proto.framework.TensorProto: DT_HALF, DT_BFLOAT16.
getHalfVal(int) - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_HALF, DT_BFLOAT16.
getHalfValCount() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_HALF, DT_BFLOAT16.
getHalfValCount() - Method in class org.tensorflow.proto.framework.TensorProto: DT_HALF, DT_BFLOAT16.
getHalfValCount() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_HALF, DT_BFLOAT16.
getHalfValList() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_HALF, DT_BFLOAT16.
getHalfValList() - Method in class org.tensorflow.proto.framework.TensorProto: DT_HALF, DT_BFLOAT16.
getHalfValList() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_HALF, DT_BFLOAT16.
getHandle() - Method in class org.tensorflow.proto.framework.MemoryLogStep.Builder: Handle describing the feeds and fetches of the step.
getHandle() - Method in class org.tensorflow.proto.framework.MemoryLogStep: Handle describing the feeds and fetches of the step.
getHandle() - Method in interface org.tensorflow.proto.framework.MemoryLogStepOrBuilder: Handle describing the feeds and fetches of the step.
getHandleBytes() - Method in class org.tensorflow.proto.framework.MemoryLogStep.Builder: Handle describing the feeds and fetches of the step.
getHandleBytes() - Method in class org.tensorflow.proto.framework.MemoryLogStep: Handle describing the feeds and fetches of the step.
getHandleBytes() - Method in interface org.tensorflow.proto.framework.MemoryLogStepOrBuilder: Handle describing the feeds and fetches of the step.
getHandleData(int) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: The handle data for resource inputs.
getHandleData(int) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef: The handle data for resource inputs.
getHandleData(int) - Method in interface org.tensorflow.proto.framework.OpDef.ArgDefOrBuilder: The handle data for resource inputs.
getHandleDataBuilder(int) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: The handle data for resource inputs.
getHandleDataBuilderList() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: The handle data for resource inputs.
getHandleDataCount() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: The handle data for resource inputs.
getHandleDataCount() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef: The handle data for resource inputs.
getHandleDataCount() - Method in interface org.tensorflow.proto.framework.OpDef.ArgDefOrBuilder: The handle data for resource inputs.
getHandleDataList() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: The handle data for resource inputs.
getHandleDataList() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef: The handle data for resource inputs.
getHandleDataList() - Method in interface org.tensorflow.proto.framework.OpDef.ArgDefOrBuilder: The handle data for resource inputs.
getHandleDataOrBuilder(int) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: The handle data for resource inputs.
getHandleDataOrBuilder(int) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef: The handle data for resource inputs.
getHandleDataOrBuilder(int) - Method in interface org.tensorflow.proto.framework.OpDef.ArgDefOrBuilder: The handle data for resource inputs.
getHandleDataOrBuilderList() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: The handle data for resource inputs.
getHandleDataOrBuilderList() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef: The handle data for resource inputs.
getHandleDataOrBuilderList() - Method in interface org.tensorflow.proto.framework.OpDef.ArgDefOrBuilder: The handle data for resource inputs.
getHash() - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder: string hash = 2;
getHash() - Method in class org.tensorflow.proto.util.testlog.CommitId: string hash = 2;
getHash() - Method in interface org.tensorflow.proto.util.testlog.CommitIdOrBuilder: string hash = 2;
getHashBytes() - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder: string hash = 2;
getHashBytes() - Method in class org.tensorflow.proto.util.testlog.CommitId: string hash = 2;
getHashBytes() - Method in interface org.tensorflow.proto.util.testlog.CommitIdOrBuilder: string hash = 2;
getHashCode() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Hash code for the type of the resource.
getHashCode() - Method in class org.tensorflow.proto.framework.ResourceHandleProto: Hash code for the type of the resource.
getHashCode() - Method in interface org.tensorflow.proto.framework.ResourceHandleProtoOrBuilder: Hash code for the type of the resource.
getHasLengthCase() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent.Builder
getHasLengthCase() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
getHasLengthCase() - Method in interface org.tensorflow.proto.framework.TensorSliceProto.ExtentOrBuilder
getHasMinimum() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: For type == "int", this is a minimum value.
getHasMinimum() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef: For type == "int", this is a minimum value.
getHasMinimum() - Method in interface org.tensorflow.proto.framework.OpDef.AttrDefOrBuilder: For type == "int", this is a minimum value.
getHasSingleReference() - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder: Set if this tensor only has one remaining reference
getHasSingleReference() - Method in class org.tensorflow.proto.framework.AllocationDescription: Set if this tensor only has one remaining reference
getHasSingleReference() - Method in interface org.tensorflow.proto.framework.AllocationDescriptionOrBuilder: Set if this tensor only has one remaining reference
getHealthStatus() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder: .tensorflow.WorkerHealth health_status = 1;
getHealthStatus() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse: .tensorflow.WorkerHealth health_status = 1;
getHealthStatus() - Method in interface org.tensorflow.proto.util.WorkerHeartbeatResponseOrBuilder: .tensorflow.WorkerHealth health_status = 1;
getHealthStatusValue() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder: .tensorflow.WorkerHealth health_status = 1;
getHealthStatusValue() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse: .tensorflow.WorkerHealth health_status = 1;
getHealthStatusValue() - Method in interface org.tensorflow.proto.util.WorkerHeartbeatResponseOrBuilder: .tensorflow.WorkerHealth health_status = 1;
getHeartbeatIntervalMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: How often the worker should heartbeat to the master.
getHeartbeatIntervalMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: How often the worker should heartbeat to the master.
getHeartbeatIntervalMs() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: How often the worker should heartbeat to the master.
getHeight() - Method in class org.tensorflow.proto.framework.Summary.Image.Builder: Dimensions of the image.
getHeight() - Method in class org.tensorflow.proto.framework.Summary.Image: Dimensions of the image.
getHeight() - Method in interface org.tensorflow.proto.framework.Summary.ImageOrBuilder: Dimensions of the image.
getHisto() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.HistogramProto histo = 5;
getHisto() - Method in class org.tensorflow.proto.framework.Summary.Value: .tensorflow.HistogramProto histo = 5;
getHisto() - Method in interface org.tensorflow.proto.framework.Summary.ValueOrBuilder: .tensorflow.HistogramProto histo = 5;
getHistoBuilder() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.HistogramProto histo = 5;
getHistoOrBuilder() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.HistogramProto histo = 5;
getHistoOrBuilder() - Method in class org.tensorflow.proto.framework.Summary.Value: .tensorflow.HistogramProto histo = 5;
getHistoOrBuilder() - Method in interface org.tensorflow.proto.framework.Summary.ValueOrBuilder: .tensorflow.HistogramProto histo = 5;
getHost() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder: The host name on which a source code file is located.
getHost() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile: The host name on which a source code file is located.
getHost() - Method in interface org.tensorflow.proto.framework.DebuggedSourceFileOrBuilder: The host name on which a source code file is located.
getHostBytes() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder: The host name on which a source code file is located.
getHostBytes() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile: The host name on which a source code file is located.
getHostBytes() - Method in interface org.tensorflow.proto.framework.DebuggedSourceFileOrBuilder: The host name on which a source code file is located.
getHostMemoryArg(int) - Method in class org.tensorflow.proto.framework.KernelDef.Builder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArg(int) - Method in class org.tensorflow.proto.framework.KernelDef: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArg(int) - Method in interface org.tensorflow.proto.framework.KernelDefOrBuilder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArgBytes(int) - Method in class org.tensorflow.proto.framework.KernelDef.Builder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArgBytes(int) - Method in class org.tensorflow.proto.framework.KernelDef: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArgBytes(int) - Method in interface org.tensorflow.proto.framework.KernelDefOrBuilder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArgCount() - Method in class org.tensorflow.proto.framework.KernelDef.Builder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArgCount() - Method in class org.tensorflow.proto.framework.KernelDef: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArgCount() - Method in interface org.tensorflow.proto.framework.KernelDefOrBuilder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArgList() - Method in class org.tensorflow.proto.framework.KernelDef.Builder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArgList() - Method in class org.tensorflow.proto.framework.KernelDef: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArgList() - Method in interface org.tensorflow.proto.framework.KernelDefOrBuilder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostName() - Method in class org.tensorflow.proto.util.CodeLocation.Builder: Host name on which the source files are located.
getHostName() - Method in class org.tensorflow.proto.util.CodeLocation: Host name on which the source files are located.
getHostName() - Method in interface org.tensorflow.proto.util.CodeLocationOrBuilder: Host name on which the source files are located.
getHostName() - Method in class org.tensorflow.proto.util.SourceFile.Builder: Name of the host on which the file is located.
getHostName() - Method in class org.tensorflow.proto.util.SourceFile: Name of the host on which the file is located.
getHostName() - Method in interface org.tensorflow.proto.util.SourceFileOrBuilder: Name of the host on which the file is located.
getHostname() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Host name of machine that ran the benchmark.
getHostname() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration: Host name of machine that ran the benchmark.
getHostname() - Method in interface org.tensorflow.proto.util.testlog.MachineConfigurationOrBuilder: Host name of machine that ran the benchmark.
getHostname() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder: string hostname = 3;
getHostname() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse: string hostname = 3;
getHostname() - Method in interface org.tensorflow.proto.util.WorkerHeartbeatResponseOrBuilder: string hostname = 3;
getHostNameBytes() - Method in class org.tensorflow.proto.util.CodeLocation.Builder: Host name on which the source files are located.
getHostNameBytes() - Method in class org.tensorflow.proto.util.CodeLocation: Host name on which the source files are located.
getHostNameBytes() - Method in interface org.tensorflow.proto.util.CodeLocationOrBuilder: Host name on which the source files are located.
getHostNameBytes() - Method in class org.tensorflow.proto.util.SourceFile.Builder: Name of the host on which the file is located.
getHostNameBytes() - Method in class org.tensorflow.proto.util.SourceFile: Name of the host on which the file is located.
getHostNameBytes() - Method in interface org.tensorflow.proto.util.SourceFileOrBuilder: Name of the host on which the file is located.
getHostnameBytes() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Host name of machine that ran the benchmark.
getHostnameBytes() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration: Host name of machine that ran the benchmark.
getHostnameBytes() - Method in interface org.tensorflow.proto.util.testlog.MachineConfigurationOrBuilder: Host name of machine that ran the benchmark.
getHostnameBytes() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder: string hostname = 3;
getHostnameBytes() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse: string hostname = 3;
getHostnameBytes() - Method in interface org.tensorflow.proto.util.WorkerHeartbeatResponseOrBuilder: string hostname = 3;
getHostnames(int) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: List of hostnames that XPlanes are generated from.
getHostnames(int) - Method in class org.tensorflow.proto.profiler.XSpace: List of hostnames that XPlanes are generated from.
getHostnames(int) - Method in interface org.tensorflow.proto.profiler.XSpaceOrBuilder: List of hostnames that XPlanes are generated from.
getHostnamesBytes(int) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: List of hostnames that XPlanes are generated from.
getHostnamesBytes(int) - Method in class org.tensorflow.proto.profiler.XSpace: List of hostnames that XPlanes are generated from.
getHostnamesBytes(int) - Method in interface org.tensorflow.proto.profiler.XSpaceOrBuilder: List of hostnames that XPlanes are generated from.
getHostnamesCount() - Method in class org.tensorflow.proto.profiler.XSpace.Builder: List of hostnames that XPlanes are generated from.
getHostnamesCount() - Method in class org.tensorflow.proto.profiler.XSpace: List of hostnames that XPlanes are generated from.
getHostnamesCount() - Method in interface org.tensorflow.proto.profiler.XSpaceOrBuilder: List of hostnames that XPlanes are generated from.
getHostnamesList() - Method in class org.tensorflow.proto.profiler.XSpace.Builder: List of hostnames that XPlanes are generated from.
getHostnamesList() - Method in class org.tensorflow.proto.profiler.XSpace: List of hostnames that XPlanes are generated from.
getHostnamesList() - Method in interface org.tensorflow.proto.profiler.XSpaceOrBuilder: List of hostnames that XPlanes are generated from.
getHostTempMemorySize() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Deprecated.
getHostTempMemorySize() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node: Deprecated.
getHostTempMemorySize() - Method in interface org.tensorflow.proto.framework.CostGraphDef.NodeOrBuilder: Deprecated.
getHostTracerLevel() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: Levels of host tracing: (version >= 1) - Level 0 is used to disable host traces.
getHostTracerLevel() - Method in class org.tensorflow.proto.profiler.ProfileOptions: Levels of host tracing: (version >= 1) - Level 0 is used to disable host traces.
getHostTracerLevel() - Method in interface org.tensorflow.proto.profiler.ProfileOptionsOrBuilder: Levels of host tracing: (version >= 1) - Level 0 is used to disable host traces.
getI() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "int"
getI() - Method in class org.tensorflow.proto.framework.AttrValue: "int"
getI(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(int)"
getI(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(int)"
getI(int) - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(int)"
getI() - Method in interface org.tensorflow.proto.framework.AttrValueOrBuilder: "int"
getI() - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: TODO(mdan): list/tensor, map? Need to reconcile with TFT_RECORD, etc.
getI() - Method in class org.tensorflow.proto.framework.FullTypeDef: TODO(mdan): list/tensor, map? Need to reconcile with TFT_RECORD, etc.
getI() - Method in interface org.tensorflow.proto.framework.FullTypeDefOrBuilder: TODO(mdan): list/tensor, map? Need to reconcile with TFT_RECORD, etc.
getICount() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(int)"
getICount() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(int)"
getICount() - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(int)"
getId() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Unique node ID.
getId() - Method in class org.tensorflow.proto.data.model.ModelProto.Node: Unique node ID.
getId() - Method in interface org.tensorflow.proto.data.model.ModelProto.NodeOrBuilder: Unique node ID.
getId() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: The id of the node.
getId() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node: The id of the node.
getId() - Method in interface org.tensorflow.proto.framework.CostGraphDef.NodeOrBuilder: The id of the node.
getId() - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: XPlane.event_metadata map key.
getId() - Method in class org.tensorflow.proto.profiler.XEventMetadata: XPlane.event_metadata map key.
getId() - Method in interface org.tensorflow.proto.profiler.XEventMetadataOrBuilder: XPlane.event_metadata map key.
getId() - Method in class org.tensorflow.proto.profiler.XLine.Builder: Id of this line, can be repeated within an XPlane.
getId() - Method in class org.tensorflow.proto.profiler.XLine: Id of this line, can be repeated within an XPlane.
getId() - Method in interface org.tensorflow.proto.profiler.XLineOrBuilder: Id of this line, can be repeated within an XPlane.
getId() - Method in class org.tensorflow.proto.profiler.XPlane.Builder: int64 id = 1;
getId() - Method in class org.tensorflow.proto.profiler.XPlane: int64 id = 1;
getId() - Method in interface org.tensorflow.proto.profiler.XPlaneOrBuilder: int64 id = 1;
getId() - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder: XPlane.stat_metadata map key.
getId() - Method in class org.tensorflow.proto.profiler.XStatMetadata: XPlane.stat_metadata map key.
getId() - Method in interface org.tensorflow.proto.profiler.XStatMetadataOrBuilder: XPlane.stat_metadata map key.
getId() - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder: A unique ID for the stack frame: A UUID-like string.
getId() - Method in class org.tensorflow.proto.util.StackFrameWithId: A unique ID for the stack frame: A UUID-like string.
getId() - Method in interface org.tensorflow.proto.util.StackFrameWithIdOrBuilder: A unique ID for the stack frame: A UUID-like string.
getIdBytes() - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder: A unique ID for the stack frame: A UUID-like string.
getIdBytes() - Method in class org.tensorflow.proto.util.StackFrameWithId: A unique ID for the stack frame: A UUID-like string.
getIdBytes() - Method in interface org.tensorflow.proto.util.StackFrameWithIdOrBuilder: A unique ID for the stack frame: A UUID-like string.
getIdCounter() - Method in class org.tensorflow.proto.data.model.ModelProto.Builder: Counter for node IDs of this model.
getIdCounter() - Method in class org.tensorflow.proto.data.model.ModelProto: Counter for node IDs of this model.
getIdCounter() - Method in interface org.tensorflow.proto.data.model.ModelProtoOrBuilder: Counter for node IDs of this model.
getIdentifier() - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder: Corresponds to a registration of the type to use in the loading program.
getIdentifier() - Method in class org.tensorflow.proto.framework.SavedUserObject: Corresponds to a registration of the type to use in the loading program.
getIdentifier() - Method in interface org.tensorflow.proto.framework.SavedUserObjectOrBuilder: Corresponds to a registration of the type to use in the loading program.
getIdentifierBytes() - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder: Corresponds to a registration of the type to use in the loading program.
getIdentifierBytes() - Method in class org.tensorflow.proto.framework.SavedUserObject: Corresponds to a registration of the type to use in the loading program.
getIdentifierBytes() - Method in interface org.tensorflow.proto.framework.SavedUserObjectOrBuilder: Corresponds to a registration of the type to use in the loading program.
getIList() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(int)"
getIList() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(int)"
getIList() - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(int)"
getImage() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.Summary.Image image = 4;
getImage() - Method in class org.tensorflow.proto.framework.Summary.Value: .tensorflow.Summary.Image image = 4;
getImage() - Method in interface org.tensorflow.proto.framework.Summary.ValueOrBuilder: .tensorflow.Summary.Image image = 4;
getImageBuilder() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.Summary.Image image = 4;
getImageOrBuilder() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.Summary.Image image = 4;
getImageOrBuilder() - Method in class org.tensorflow.proto.framework.Summary.Value: .tensorflow.Summary.Image image = 4;
getImageOrBuilder() - Method in interface org.tensorflow.proto.framework.Summary.ValueOrBuilder: .tensorflow.Summary.Image image = 4;
getImplementationSelector() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Enable the swap of kernel implementations based on the device placement (default is ON).
getImplementationSelector() - Method in class org.tensorflow.proto.framework.RewriterConfig: Enable the swap of kernel implementations based on the device placement (default is ON).
getImplementationSelector() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Enable the swap of kernel implementations based on the device placement (default is ON).
getImplementationSelectorValue() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Enable the swap of kernel implementations based on the device placement (default is ON).
getImplementationSelectorValue() - Method in class org.tensorflow.proto.framework.RewriterConfig: Enable the swap of kernel implementations based on the device placement (default is ON).
getImplementationSelectorValue() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Enable the swap of kernel implementations based on the device placement (default is ON).
getInaccurate() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Are the costs inaccurate?
getInaccurate() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node: Are the costs inaccurate?
getInaccurate() - Method in interface org.tensorflow.proto.framework.CostGraphDef.NodeOrBuilder: Are the costs inaccurate?
getInArg(int) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArg(int) - Method in class org.tensorflow.proto.framework.ApiDef: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArg(int) - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgBuilder(int) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgBuilderList() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgCount() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgCount() - Method in class org.tensorflow.proto.framework.ApiDef: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgCount() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgList() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgList() - Method in class org.tensorflow.proto.framework.ApiDef: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgList() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgOrBuilder(int) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgOrBuilder(int) - Method in class org.tensorflow.proto.framework.ApiDef: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgOrBuilder(int) - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgOrBuilderList() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgOrBuilderList() - Method in class org.tensorflow.proto.framework.ApiDef: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgOrBuilderList() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getIncarnation() - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: A device is assigned a global unique number each time it is initialized.
getIncarnation() - Method in class org.tensorflow.proto.framework.DeviceAttributes: A device is assigned a global unique number each time it is initialized.
getIncarnation() - Method in interface org.tensorflow.proto.framework.DeviceAttributesOrBuilder: A device is assigned a global unique number each time it is initialized.
getIncludeDatasetOps() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: We don't collect the dataset ops by default for better trace-viewer scalability.
getIncludeDatasetOps() - Method in class org.tensorflow.proto.profiler.ProfileOptions: We don't collect the dataset ops by default for better trace-viewer scalability.
getIncludeDatasetOps() - Method in interface org.tensorflow.proto.profiler.ProfileOptionsOrBuilder: We don't collect the dataset ops by default for better trace-viewer scalability.
getIndex() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder: Index of the output being set.
getIndex() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput: Index of the output being set.
getIndex() - Method in interface org.tensorflow.proto.framework.MemoryLogTensorOutputOrBuilder: Index of the output being set.
getIndicesOutputTensorName() - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder: string indices_output_tensor_name = 3;
getIndicesOutputTensorName() - Method in class org.tensorflow.proto.example.VarLenFeatureProto: string indices_output_tensor_name = 3;
getIndicesOutputTensorName() - Method in interface org.tensorflow.proto.example.VarLenFeatureProtoOrBuilder: string indices_output_tensor_name = 3;
getIndicesOutputTensorNameBytes() - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder: string indices_output_tensor_name = 3;
getIndicesOutputTensorNameBytes() - Method in class org.tensorflow.proto.example.VarLenFeatureProto: string indices_output_tensor_name = 3;
getIndicesOutputTensorNameBytes() - Method in interface org.tensorflow.proto.example.VarLenFeatureProtoOrBuilder: string indices_output_tensor_name = 3;
getIndicesTensorName() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder: The indices Tensor must have dtype int64 and shape [?, ?].
getIndicesTensorName() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse: The indices Tensor must have dtype int64 and shape [?, ?].
getIndicesTensorName() - Method in interface org.tensorflow.proto.framework.TensorInfo.CooSparseOrBuilder: The indices Tensor must have dtype int64 and shape [?, ?].
getIndicesTensorNameBytes() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder: The indices Tensor must have dtype int64 and shape [?, ?].
getIndicesTensorNameBytes() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse: The indices Tensor must have dtype int64 and shape [?, ?].
getIndicesTensorNameBytes() - Method in interface org.tensorflow.proto.framework.TensorInfo.CooSparseOrBuilder: The indices Tensor must have dtype int64 and shape [?, ?].
getInferShapes() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: Annotate each Node with Op output shape data, to the extent it can be statically inferred.
getInferShapes() - Method in class org.tensorflow.proto.framework.GraphOptions: Annotate each Node with Op output shape data, to the extent it can be statically inferred.
getInferShapes() - Method in interface org.tensorflow.proto.framework.GraphOptionsOrBuilder: Annotate each Node with Op output shape data, to the extent it can be statically inferred.
getInitializerName() - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Name of the initializer op.
getInitializerName() - Method in class org.tensorflow.proto.framework.VariableDef: Name of the initializer op.
getInitializerName() - Method in interface org.tensorflow.proto.framework.VariableDefOrBuilder: Name of the initializer op.
getInitializerNameBytes() - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Name of the initializer op.
getInitializerNameBytes() - Method in class org.tensorflow.proto.framework.VariableDef: Name of the initializer op.
getInitializerNameBytes() - Method in interface org.tensorflow.proto.framework.VariableDefOrBuilder: Name of the initializer op.
getInitialValueName() - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Name of the tensor holding the variable's initial value.
getInitialValueName() - Method in class org.tensorflow.proto.framework.VariableDef: Name of the tensor holding the variable's initial value.
getInitialValueName() - Method in interface org.tensorflow.proto.framework.VariableDefOrBuilder: Name of the tensor holding the variable's initial value.
getInitialValueNameBytes() - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Name of the tensor holding the variable's initial value.
getInitialValueNameBytes() - Method in class org.tensorflow.proto.framework.VariableDef: Name of the tensor holding the variable's initial value.
getInitialValueNameBytes() - Method in interface org.tensorflow.proto.framework.VariableDefOrBuilder: Name of the tensor holding the variable's initial value.
getInput(int) - Method in class org.tensorflow.proto.framework.NodeDef.Builder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInput(int) - Method in class org.tensorflow.proto.framework.NodeDef: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInput(int) - Method in interface org.tensorflow.proto.framework.NodeDefOrBuilder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputArg(int) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the input(s).
getInputArg(int) - Method in class org.tensorflow.proto.framework.OpDef: Description of the input(s).
getInputArg(int) - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: Description of the input(s).
getInputArgBuilder(int) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the input(s).
getInputArgBuilderList() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the input(s).
getInputArgCount() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the input(s).
getInputArgCount() - Method in class org.tensorflow.proto.framework.OpDef: Description of the input(s).
getInputArgCount() - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: Description of the input(s).
getInputArgList() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the input(s).
getInputArgList() - Method in class org.tensorflow.proto.framework.OpDef: Description of the input(s).
getInputArgList() - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: Description of the input(s).
getInputArgOrBuilder(int) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the input(s).
getInputArgOrBuilder(int) - Method in class org.tensorflow.proto.framework.OpDef: Description of the input(s).
getInputArgOrBuilder(int) - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: Description of the input(s).
getInputArgOrBuilderList() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the input(s).
getInputArgOrBuilderList() - Method in class org.tensorflow.proto.framework.OpDef: Description of the input(s).
getInputArgOrBuilderList() - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: Description of the input(s).
getInputBytes(int) - Method in class org.tensorflow.proto.framework.NodeDef.Builder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputBytes(int) - Method in class org.tensorflow.proto.framework.NodeDef: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputBytes(int) - Method in interface org.tensorflow.proto.framework.NodeDefOrBuilder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputCount() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder: int32 input_count = 6;
getInputCount() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo: int32 input_count = 6;
getInputCount() - Method in interface org.tensorflow.proto.framework.GraphTransferNodeInfoOrBuilder: int32 input_count = 6;
getInputCount() - Method in class org.tensorflow.proto.framework.NodeDef.Builder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputCount() - Method in class org.tensorflow.proto.framework.NodeDef: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputCount() - Method in interface org.tensorflow.proto.framework.NodeDefOrBuilder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputInfo(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfo(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfo(int) - Method in interface org.tensorflow.proto.framework.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoBuilder(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoBuilderList() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoCount() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoCount() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoCount() - Method in interface org.tensorflow.proto.framework.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoList() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoList() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoList() - Method in interface org.tensorflow.proto.framework.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoOrBuilder(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoOrBuilder(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoOrBuilder(int) - Method in interface org.tensorflow.proto.framework.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoOrBuilderList() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoOrBuilderList() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoOrBuilderList() - Method in interface org.tensorflow.proto.framework.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputList() - Method in class org.tensorflow.proto.framework.NodeDef.Builder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputList() - Method in class org.tensorflow.proto.framework.NodeDef: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputList() - Method in interface org.tensorflow.proto.framework.NodeDefOrBuilder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputNames(int) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Names of the input tensors to the op.
getInputNames(int) - Method in class org.tensorflow.proto.util.GraphOpCreation: Names of the input tensors to the op.
getInputNames(int) - Method in interface org.tensorflow.proto.util.GraphOpCreationOrBuilder: Names of the input tensors to the op.
getInputNamesBytes(int) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Names of the input tensors to the op.
getInputNamesBytes(int) - Method in class org.tensorflow.proto.util.GraphOpCreation: Names of the input tensors to the op.
getInputNamesBytes(int) - Method in interface org.tensorflow.proto.util.GraphOpCreationOrBuilder: Names of the input tensors to the op.
getInputNamesCount() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Names of the input tensors to the op.
getInputNamesCount() - Method in class org.tensorflow.proto.util.GraphOpCreation: Names of the input tensors to the op.
getInputNamesCount() - Method in interface org.tensorflow.proto.util.GraphOpCreationOrBuilder: Names of the input tensors to the op.
getInputNamesList() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Names of the input tensors to the op.
getInputNamesList() - Method in class org.tensorflow.proto.util.GraphOpCreation: Names of the input tensors to the op.
getInputNamesList() - Method in interface org.tensorflow.proto.util.GraphOpCreationOrBuilder: Names of the input tensors to the op.
getInputProcessingTimeCount() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: int64 input_processing_time_count = 13;
getInputProcessingTimeCount() - Method in class org.tensorflow.proto.data.model.ModelProto.Node: int64 input_processing_time_count = 13;
getInputProcessingTimeCount() - Method in interface org.tensorflow.proto.data.model.ModelProto.NodeOrBuilder: int64 input_processing_time_count = 13;
getInputProcessingTimeSum() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Statistic of inputs processing time history.
getInputProcessingTimeSum() - Method in class org.tensorflow.proto.data.model.ModelProto.Node: Statistic of inputs processing time history.
getInputProcessingTimeSum() - Method in interface org.tensorflow.proto.data.model.ModelProto.NodeOrBuilder: Statistic of inputs processing time history.
getInputs(int) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: IDs of inputs of this node.
getInputs(int) - Method in class org.tensorflow.proto.data.model.ModelProto.Node: IDs of inputs of this node.
getInputs(int) - Method in interface org.tensorflow.proto.data.model.ModelProto.NodeOrBuilder: IDs of inputs of this node.
getInputs(int) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputs(int) - Method in class org.tensorflow.proto.framework.OpInfo: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputs(int) - Method in interface org.tensorflow.proto.framework.OpInfoOrBuilder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputs() - Method in class org.tensorflow.proto.framework.SignatureDef.Builder: Deprecated.
getInputs() - Method in class org.tensorflow.proto.framework.SignatureDef: Deprecated.
getInputs() - Method in interface org.tensorflow.proto.framework.SignatureDefOrBuilder: Deprecated.
getInputs() - Method in class org.tensorflow.Signature: Returns the names of the inputs in this signature mapped to their expected data type, shape, and operand name
getInputsBuilder(int) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsBuilderList() - Method in class org.tensorflow.proto.framework.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsCount() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: IDs of inputs of this node.
getInputsCount() - Method in class org.tensorflow.proto.data.model.ModelProto.Node: IDs of inputs of this node.
getInputsCount() - Method in interface org.tensorflow.proto.data.model.ModelProto.NodeOrBuilder: IDs of inputs of this node.
getInputsCount() - Method in class org.tensorflow.proto.framework.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsCount() - Method in class org.tensorflow.proto.framework.OpInfo: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsCount() - Method in interface org.tensorflow.proto.framework.OpInfoOrBuilder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsCount() - Method in class org.tensorflow.proto.framework.SignatureDef.Builder
getInputsCount() - Method in class org.tensorflow.proto.framework.SignatureDef
getInputsCount() - Method in interface org.tensorflow.proto.framework.SignatureDefOrBuilder: Named input parameters.
getInputSignature() - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder: The input signature, if specified.
getInputSignature() - Method in class org.tensorflow.proto.framework.FunctionSpec: The input signature, if specified.
getInputSignature() - Method in interface org.tensorflow.proto.framework.FunctionSpecOrBuilder: The input signature, if specified.
getInputSignatureBuilder() - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder: The input signature, if specified.
getInputSignatureOrBuilder() - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder: The input signature, if specified.
getInputSignatureOrBuilder() - Method in class org.tensorflow.proto.framework.FunctionSpec: The input signature, if specified.
getInputSignatureOrBuilder() - Method in interface org.tensorflow.proto.framework.FunctionSpecOrBuilder: The input signature, if specified.
getInputsList() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: IDs of inputs of this node.
getInputsList() - Method in class org.tensorflow.proto.data.model.ModelProto.Node: IDs of inputs of this node.
getInputsList() - Method in interface org.tensorflow.proto.data.model.ModelProto.NodeOrBuilder: IDs of inputs of this node.
getInputsList() - Method in class org.tensorflow.proto.framework.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsList() - Method in class org.tensorflow.proto.framework.OpInfo: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsList() - Method in interface org.tensorflow.proto.framework.OpInfoOrBuilder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsMap() - Method in class org.tensorflow.proto.framework.SignatureDef.Builder: Named input parameters.
getInputsMap() - Method in class org.tensorflow.proto.framework.SignatureDef: Named input parameters.
getInputsMap() - Method in interface org.tensorflow.proto.framework.SignatureDefOrBuilder: Named input parameters.
getInputsOrBuilder(int) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsOrBuilder(int) - Method in class org.tensorflow.proto.framework.OpInfo: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsOrBuilder(int) - Method in interface org.tensorflow.proto.framework.OpInfoOrBuilder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsOrBuilderList() - Method in class org.tensorflow.proto.framework.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsOrBuilderList() - Method in class org.tensorflow.proto.framework.OpInfo: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsOrBuilderList() - Method in interface org.tensorflow.proto.framework.OpInfoOrBuilder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsOrDefault(String, TensorInfo) - Method in class org.tensorflow.proto.framework.SignatureDef.Builder: Named input parameters.
getInputsOrDefault(String, TensorInfo) - Method in class org.tensorflow.proto.framework.SignatureDef: Named input parameters.
getInputsOrDefault(String, TensorInfo) - Method in interface org.tensorflow.proto.framework.SignatureDefOrBuilder: Named input parameters.
getInputsOrThrow(String) - Method in class org.tensorflow.proto.framework.SignatureDef.Builder: Named input parameters.
getInputsOrThrow(String) - Method in class org.tensorflow.proto.framework.SignatureDef: Named input parameters.
getInputsOrThrow(String) - Method in interface org.tensorflow.proto.framework.SignatureDefOrBuilder: Named input parameters.
getInputTensorIds(int) - Method in class org.tensorflow.proto.util.Execution.Builder: IDs of the input tensors (if available).
getInputTensorIds(int) - Method in class org.tensorflow.proto.util.Execution: IDs of the input tensors (if available).
getInputTensorIds(int) - Method in interface org.tensorflow.proto.util.ExecutionOrBuilder: IDs of the input tensors (if available).
getInputTensorIdsCount() - Method in class org.tensorflow.proto.util.Execution.Builder: IDs of the input tensors (if available).
getInputTensorIdsCount() - Method in class org.tensorflow.proto.util.Execution: IDs of the input tensors (if available).
getInputTensorIdsCount() - Method in interface org.tensorflow.proto.util.ExecutionOrBuilder: IDs of the input tensors (if available).
getInputTensorIdsList() - Method in class org.tensorflow.proto.util.Execution.Builder: IDs of the input tensors (if available).
getInputTensorIdsList() - Method in class org.tensorflow.proto.util.Execution: IDs of the input tensors (if available).
getInputTensorIdsList() - Method in interface org.tensorflow.proto.util.ExecutionOrBuilder: IDs of the input tensors (if available).
getInstrumentedGraphDef() - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: An encoded version of a GraphDef.
getInstrumentedGraphDef() - Method in class org.tensorflow.proto.util.DebuggedGraph: An encoded version of a GraphDef.
getInstrumentedGraphDef() - Method in interface org.tensorflow.proto.util.DebuggedGraphOrBuilder: An encoded version of a GraphDef.
getInstrumentedOps(int) - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: Names of the instrumented ops.
getInstrumentedOps(int) - Method in class org.tensorflow.proto.util.DebuggedGraph: Names of the instrumented ops.
getInstrumentedOps(int) - Method in interface org.tensorflow.proto.util.DebuggedGraphOrBuilder: Names of the instrumented ops.
getInstrumentedOpsBytes(int) - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: Names of the instrumented ops.
getInstrumentedOpsBytes(int) - Method in class org.tensorflow.proto.util.DebuggedGraph: Names of the instrumented ops.
getInstrumentedOpsBytes(int) - Method in interface org.tensorflow.proto.util.DebuggedGraphOrBuilder: Names of the instrumented ops.
getInstrumentedOpsCount() - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: Names of the instrumented ops.
getInstrumentedOpsCount() - Method in class org.tensorflow.proto.util.DebuggedGraph: Names of the instrumented ops.
getInstrumentedOpsCount() - Method in interface org.tensorflow.proto.util.DebuggedGraphOrBuilder: Names of the instrumented ops.
getInstrumentedOpsList() - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: Names of the instrumented ops.
getInstrumentedOpsList() - Method in class org.tensorflow.proto.util.DebuggedGraph: Names of the instrumented ops.
getInstrumentedOpsList() - Method in interface org.tensorflow.proto.util.DebuggedGraphOrBuilder: Names of the instrumented ops.
getInt64List() - Method in class org.tensorflow.proto.example.Feature.Builder: .tensorflow.Int64List int64_list = 3;
getInt64List() - Method in class org.tensorflow.proto.example.Feature: .tensorflow.Int64List int64_list = 3;
getInt64List() - Method in interface org.tensorflow.proto.example.FeatureOrBuilder: .tensorflow.Int64List int64_list = 3;
getInt64List() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.Int64List int64_list = 3;
getInt64List() - Method in class org.tensorflow.proto.framework.CollectionDef: .tensorflow.CollectionDef.Int64List int64_list = 3;
getInt64List() - Method in interface org.tensorflow.proto.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.Int64List int64_list = 3;
getInt64ListBuilder() - Method in class org.tensorflow.proto.example.Feature.Builder: .tensorflow.Int64List int64_list = 3;
getInt64ListBuilder() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.Int64List int64_list = 3;
getInt64ListOrBuilder() - Method in class org.tensorflow.proto.example.Feature.Builder: .tensorflow.Int64List int64_list = 3;
getInt64ListOrBuilder() - Method in class org.tensorflow.proto.example.Feature: .tensorflow.Int64List int64_list = 3;
getInt64ListOrBuilder() - Method in interface org.tensorflow.proto.example.FeatureOrBuilder: .tensorflow.Int64List int64_list = 3;
getInt64ListOrBuilder() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.Int64List int64_list = 3;
getInt64ListOrBuilder() - Method in class org.tensorflow.proto.framework.CollectionDef: .tensorflow.CollectionDef.Int64List int64_list = 3;
getInt64ListOrBuilder() - Method in interface org.tensorflow.proto.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.Int64List int64_list = 3;
getInt64Val(int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_INT64
getInt64Val(int) - Method in class org.tensorflow.proto.framework.TensorProto: DT_INT64
getInt64Val(int) - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_INT64
getInt64ValCount() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_INT64
getInt64ValCount() - Method in class org.tensorflow.proto.framework.TensorProto: DT_INT64
getInt64ValCount() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_INT64
getInt64ValList() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_INT64
getInt64ValList() - Method in class org.tensorflow.proto.framework.TensorProto: DT_INT64
getInt64ValList() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_INT64
getInt64Value() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a signed integer value, limited to 64 bits.
getInt64Value() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents a signed integer value, limited to 64 bits.
getInt64Value() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents a signed integer value, limited to 64 bits.
getInt64Value() - Method in class org.tensorflow.proto.profiler.XStat.Builder: int64 int64_value = 4;
getInt64Value() - Method in class org.tensorflow.proto.profiler.XStat: int64 int64_value = 4;
getInt64Value() - Method in interface org.tensorflow.proto.profiler.XStatOrBuilder: int64 int64_value = 4;
getInternalFragmentationFraction() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: BFC Allocator can return an allocated chunk of memory upto 2x the requested size.
getInternalFragmentationFraction() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental: BFC Allocator can return an allocated chunk of memory upto 2x the requested size.
getInternalFragmentationFraction() - Method in interface org.tensorflow.proto.framework.GPUOptions.ExperimentalOrBuilder: BFC Allocator can return an allocated chunk of memory upto 2x the requested size.
getInterOpParallelismThreads() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Nodes that perform blocking operations are enqueued on a pool of inter_op_parallelism_threads available in each process.
getInterOpParallelismThreads() - Method in class org.tensorflow.proto.framework.ConfigProto: Nodes that perform blocking operations are enqueued on a pool of inter_op_parallelism_threads available in each process.
getInterOpParallelismThreads() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: Nodes that perform blocking operations are enqueued on a pool of inter_op_parallelism_threads available in each process.
getInterOpThreadPool() - Method in class org.tensorflow.proto.framework.RunOptions.Builder: The thread pool to use, if session_inter_op_thread_pool is configured.
getInterOpThreadPool() - Method in class org.tensorflow.proto.framework.RunOptions: The thread pool to use, if session_inter_op_thread_pool is configured.
getInterOpThreadPool() - Method in interface org.tensorflow.proto.framework.RunOptionsOrBuilder: The thread pool to use, if session_inter_op_thread_pool is configured.
getInterOptimizerVerifierConfig() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run after every optimizer.
getInterOptimizerVerifierConfig() - Method in class org.tensorflow.proto.framework.RewriterConfig: VerifierConfig specifying the verifiers to be run after every optimizer.
getInterOptimizerVerifierConfig() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: VerifierConfig specifying the verifiers to be run after every optimizer.
getInterOptimizerVerifierConfigBuilder() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run after every optimizer.
getInterOptimizerVerifierConfigOrBuilder() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run after every optimizer.
getInterOptimizerVerifierConfigOrBuilder() - Method in class org.tensorflow.proto.framework.RewriterConfig: VerifierConfig specifying the verifiers to be run after every optimizer.
getInterOptimizerVerifierConfigOrBuilder() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: VerifierConfig specifying the verifiers to be run after every optimizer.
getIntraOpParallelism() - Method in class org.tensorflow.proto.framework.SessionInfo.Builder: int64 intra_op_parallelism = 1;
getIntraOpParallelism() - Method in class org.tensorflow.proto.framework.SessionInfo: int64 intra_op_parallelism = 1;
getIntraOpParallelism() - Method in interface org.tensorflow.proto.framework.SessionInfoOrBuilder: int64 intra_op_parallelism = 1;
getIntraOpParallelismThreads() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: The execution of an individual op (for some op types) can be parallelized on a pool of intra_op_parallelism_threads.
getIntraOpParallelismThreads() - Method in class org.tensorflow.proto.framework.ConfigProto: The execution of an individual op (for some op types) can be parallelized on a pool of intra_op_parallelism_threads.
getIntraOpParallelismThreads() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: The execution of an individual op (for some op types) can be parallelized on a pool of intra_op_parallelism_threads.
getIntVal(int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_INT32, DT_INT16, DT_UINT16, DT_INT8, DT_UINT8.
getIntVal(int) - Method in class org.tensorflow.proto.framework.TensorProto: DT_INT32, DT_INT16, DT_UINT16, DT_INT8, DT_UINT8.
getIntVal(int) - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_INT32, DT_INT16, DT_UINT16, DT_INT8, DT_UINT8.
getIntValCount() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_INT32, DT_INT16, DT_UINT16, DT_INT8, DT_UINT8.
getIntValCount() - Method in class org.tensorflow.proto.framework.TensorProto: DT_INT32, DT_INT16, DT_UINT16, DT_INT8, DT_UINT8.
getIntValCount() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_INT32, DT_INT16, DT_UINT16, DT_INT8, DT_UINT8.
getIntValList() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_INT32, DT_INT16, DT_UINT16, DT_INT8, DT_UINT8.
getIntValList() - Method in class org.tensorflow.proto.framework.TensorProto: DT_INT32, DT_INT16, DT_UINT16, DT_INT8, DT_UINT8.
getIntValList() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_INT32, DT_INT16, DT_UINT16, DT_INT8, DT_UINT8.
getInUse() - Method in class org.tensorflow.proto.util.MemChunk.Builder: bool in_use = 8;
getInUse() - Method in class org.tensorflow.proto.util.MemChunk: bool in_use = 8;
getInUse() - Method in interface org.tensorflow.proto.util.MemChunkOrBuilder: bool in_use = 8;
getIsAggregate() - Method in class org.tensorflow.proto.framework.OpDef.Builder: If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
getIsAggregate() - Method in class org.tensorflow.proto.framework.OpDef: If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
getIsAggregate() - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
getIsCommutative() - Method in class org.tensorflow.proto.framework.OpDef.Builder: True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
getIsCommutative() - Method in class org.tensorflow.proto.framework.OpDef: True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
getIsCommutative() - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
getIsDistributedCommunication() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Indicates whether the op implementation uses distributed communication.
getIsDistributedCommunication() - Method in class org.tensorflow.proto.framework.OpDef: Indicates whether the op implementation uses distributed communication.
getIsDistributedCommunication() - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: Indicates whether the op implementation uses distributed communication.
getIsFinal() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: If true, the output is permanent: it can't be discarded, because this node is part of the "final output".
getIsFinal() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node: If true, the output is permanent: it can't be discarded, because this node is part of the "final output".
getIsFinal() - Method in interface org.tensorflow.proto.framework.CostGraphDef.NodeOrBuilder: If true, the output is permanent: it can't be discarded, because this node is part of the "final output".
getIsMethod() - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder: Whether this represents a class method.
getIsMethod() - Method in class org.tensorflow.proto.framework.FunctionSpec: Whether this represents a class method.
getIsMethod() - Method in interface org.tensorflow.proto.framework.FunctionSpecOrBuilder: Whether this represents a class method.
getIsolateSessionState() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: If true, any resources such as Variables used in the session will not be shared with other sessions.
getIsolateSessionState() - Method in class org.tensorflow.proto.framework.ConfigProto: If true, any resources such as Variables used in the session will not be shared with other sessions.
getIsolateSessionState() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: If true, any resources such as Variables used in the session will not be shared with other sessions.
getIsRef() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: For inputs: if true, the inputs are required to be refs.
getIsRef() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef: For inputs: if true, the inputs are required to be refs.
getIsRef() - Method in interface org.tensorflow.proto.framework.OpDef.ArgDefOrBuilder: For inputs: if true, the inputs are required to be refs.
getIsResource() - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Whether to represent this as a ResourceVariable.
getIsResource() - Method in class org.tensorflow.proto.framework.VariableDef: Whether to represent this as a ResourceVariable.
getIsResource() - Method in interface org.tensorflow.proto.framework.VariableDefOrBuilder: Whether to represent this as a ResourceVariable.
getIsStateful() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.
getIsStateful() - Method in class org.tensorflow.proto.framework.OpDef: Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.
getIsStateful() - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.
getIters() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: If a benchmark, how many iterations it was run for
getIters() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry: If a benchmark, how many iterations it was run for
getIters() - Method in interface org.tensorflow.proto.util.testlog.BenchmarkEntryOrBuilder: If a benchmark, how many iterations it was run for
getJitCompile() - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder: .tensorflow.FunctionSpec.JitCompile jit_compile = 6;
getJitCompile() - Method in class org.tensorflow.proto.framework.FunctionSpec: .tensorflow.FunctionSpec.JitCompile jit_compile = 6;
getJitCompile() - Method in interface org.tensorflow.proto.framework.FunctionSpecOrBuilder: .tensorflow.FunctionSpec.JitCompile jit_compile = 6;
getJitCompileValue() - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder: .tensorflow.FunctionSpec.JitCompile jit_compile = 6;
getJitCompileValue() - Method in class org.tensorflow.proto.framework.FunctionSpec: .tensorflow.FunctionSpec.JitCompile jit_compile = 6;
getJitCompileValue() - Method in interface org.tensorflow.proto.framework.FunctionSpecOrBuilder: .tensorflow.FunctionSpec.JitCompile jit_compile = 6;
getJob(int) - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
getJob(int) - Method in class org.tensorflow.proto.distruntime.ClusterDef: The jobs that comprise the cluster.
getJob(int) - Method in interface org.tensorflow.proto.distruntime.ClusterDefOrBuilder: The jobs that comprise the cluster.
getJobBuilder(int) - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
getJobBuilderList() - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
getJobCount() - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
getJobCount() - Method in class org.tensorflow.proto.distruntime.ClusterDef: The jobs that comprise the cluster.
getJobCount() - Method in interface org.tensorflow.proto.distruntime.ClusterDefOrBuilder: The jobs that comprise the cluster.
getJobGcCheckIntervalMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: How often the dispatcher should scan through to delete old and unused jobs.
getJobGcCheckIntervalMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: How often the dispatcher should scan through to delete old and unused jobs.
getJobGcCheckIntervalMs() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: How often the dispatcher should scan through to delete old and unused jobs.
getJobGcTimeoutMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: How long a job needs to be unused before it becomes a candidate for garbage collection.
getJobGcTimeoutMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: How long a job needs to be unused before it becomes a candidate for garbage collection.
getJobGcTimeoutMs() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: How long a job needs to be unused before it becomes a candidate for garbage collection.
getJobList() - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
getJobList() - Method in class org.tensorflow.proto.distruntime.ClusterDef: The jobs that comprise the cluster.
getJobList() - Method in interface org.tensorflow.proto.distruntime.ClusterDefOrBuilder: The jobs that comprise the cluster.
getJobName() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The name of the job of which this server is a member.
getJobName() - Method in class org.tensorflow.proto.distruntime.ServerDef: The name of the job of which this server is a member.
getJobName() - Method in interface org.tensorflow.proto.distruntime.ServerDefOrBuilder: The name of the job of which this server is a member.
getJobNameBytes() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The name of the job of which this server is a member.
getJobNameBytes() - Method in class org.tensorflow.proto.distruntime.ServerDef: The name of the job of which this server is a member.
getJobNameBytes() - Method in interface org.tensorflow.proto.distruntime.ServerDefOrBuilder: The name of the job of which this server is a member.
getJobOrBuilder(int) - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
getJobOrBuilder(int) - Method in class org.tensorflow.proto.distruntime.ClusterDef: The jobs that comprise the cluster.
getJobOrBuilder(int) - Method in interface org.tensorflow.proto.distruntime.ClusterDefOrBuilder: The jobs that comprise the cluster.
getJobOrBuilderList() - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
getJobOrBuilderList() - Method in class org.tensorflow.proto.distruntime.ClusterDef: The jobs that comprise the cluster.
getJobOrBuilderList() - Method in interface org.tensorflow.proto.distruntime.ClusterDefOrBuilder: The jobs that comprise the cluster.
getJobs(int) - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobs(int) - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobs(int) - Method in interface org.tensorflow.proto.distruntime.ClusterDeviceFiltersOrBuilder: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobsBuilder(int) - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobsBuilderList() - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobsCount() - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobsCount() - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobsCount() - Method in interface org.tensorflow.proto.distruntime.ClusterDeviceFiltersOrBuilder: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobsList() - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobsList() - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobsList() - Method in interface org.tensorflow.proto.distruntime.ClusterDeviceFiltersOrBuilder: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobsOrBuilder(int) - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobsOrBuilder(int) - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobsOrBuilder(int) - Method in interface org.tensorflow.proto.distruntime.ClusterDeviceFiltersOrBuilder: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobsOrBuilderList() - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobsOrBuilderList() - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobsOrBuilderList() - Method in interface org.tensorflow.proto.distruntime.ClusterDeviceFiltersOrBuilder: repeated .tensorflow.JobDeviceFilters jobs = 1;
getKeepCheckpointEveryNHours() - Method in class org.tensorflow.proto.util.SaverDef.Builder: How often to keep an additional checkpoint.
getKeepCheckpointEveryNHours() - Method in class org.tensorflow.proto.util.SaverDef: How often to keep an additional checkpoint.
getKeepCheckpointEveryNHours() - Method in interface org.tensorflow.proto.util.SaverDefOrBuilder: How often to keep an additional checkpoint.
getKernel(int) - Method in class org.tensorflow.proto.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
getKernel(int) - Method in class org.tensorflow.proto.framework.KernelList: repeated .tensorflow.KernelDef kernel = 1;
getKernel(int) - Method in interface org.tensorflow.proto.framework.KernelListOrBuilder: repeated .tensorflow.KernelDef kernel = 1;
getKernelBuilder(int) - Method in class org.tensorflow.proto.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
getKernelBuilderList() - Method in class org.tensorflow.proto.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
getKernelCount() - Method in class org.tensorflow.proto.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
getKernelCount() - Method in class org.tensorflow.proto.framework.KernelList: repeated .tensorflow.KernelDef kernel = 1;
getKernelCount() - Method in interface org.tensorflow.proto.framework.KernelListOrBuilder: repeated .tensorflow.KernelDef kernel = 1;
getKernelList() - Method in class org.tensorflow.proto.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
getKernelList() - Method in class org.tensorflow.proto.framework.KernelList: repeated .tensorflow.KernelDef kernel = 1;
getKernelList() - Method in interface org.tensorflow.proto.framework.KernelListOrBuilder: repeated .tensorflow.KernelDef kernel = 1;
getKernelName() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder: Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelName() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation: Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelName() - Method in interface org.tensorflow.proto.framework.MemoryLogTensorAllocationOrBuilder: Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelName() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder: Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelName() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput: Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelName() - Method in interface org.tensorflow.proto.framework.MemoryLogTensorOutputOrBuilder: Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelNameBytes() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder: Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelNameBytes() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation: Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelNameBytes() - Method in interface org.tensorflow.proto.framework.MemoryLogTensorAllocationOrBuilder: Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelNameBytes() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder: Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelNameBytes() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput: Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelNameBytes() - Method in interface org.tensorflow.proto.framework.MemoryLogTensorOutputOrBuilder: Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelOrBuilder(int) - Method in class org.tensorflow.proto.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
getKernelOrBuilder(int) - Method in class org.tensorflow.proto.framework.KernelList: repeated .tensorflow.KernelDef kernel = 1;
getKernelOrBuilder(int) - Method in interface org.tensorflow.proto.framework.KernelListOrBuilder: repeated .tensorflow.KernelDef kernel = 1;
getKernelOrBuilderList() - Method in class org.tensorflow.proto.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
getKernelOrBuilderList() - Method in class org.tensorflow.proto.framework.KernelList: repeated .tensorflow.KernelDef kernel = 1;
getKernelOrBuilderList() - Method in interface org.tensorflow.proto.framework.KernelListOrBuilder: repeated .tensorflow.KernelDef kernel = 1;
getKernelTrackerMaxBytes() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: If kernel_tracker_max_bytes = n > 0, then a tracking event is inserted after every series of kernels allocating a sum of memory >= n.
getKernelTrackerMaxBytes() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental: If kernel_tracker_max_bytes = n > 0, then a tracking event is inserted after every series of kernels allocating a sum of memory >= n.
getKernelTrackerMaxBytes() - Method in interface org.tensorflow.proto.framework.GPUOptions.ExperimentalOrBuilder: If kernel_tracker_max_bytes = n > 0, then a tracking event is inserted after every series of kernels allocating a sum of memory >= n.
getKernelTrackerMaxInterval() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: Parameters for GPUKernelTracker.
getKernelTrackerMaxInterval() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental: Parameters for GPUKernelTracker.
getKernelTrackerMaxInterval() - Method in interface org.tensorflow.proto.framework.GPUOptions.ExperimentalOrBuilder: Parameters for GPUKernelTracker.
getKernelTrackerMaxPending() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: If kernel_tracker_max_pending > 0 then no more than this many tracking events can be outstanding at a time.
getKernelTrackerMaxPending() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental: If kernel_tracker_max_pending > 0 then no more than this many tracking events can be outstanding at a time.
getKernelTrackerMaxPending() - Method in interface org.tensorflow.proto.framework.GPUOptions.ExperimentalOrBuilder: If kernel_tracker_max_pending > 0 then no more than this many tracking events can be outstanding at a time.
getKey() - Method in class org.tensorflow.proto.framework.PairValue.Builder: string key = 1;
getKey() - Method in class org.tensorflow.proto.framework.PairValue: string key = 1;
getKey() - Method in interface org.tensorflow.proto.framework.PairValueOrBuilder: string key = 1;
getKeyBytes() - Method in class org.tensorflow.proto.framework.PairValue.Builder: string key = 1;
getKeyBytes() - Method in class org.tensorflow.proto.framework.PairValue: string key = 1;
getKeyBytes() - Method in interface org.tensorflow.proto.framework.PairValueOrBuilder: string key = 1;
getKindCase() - Method in class org.tensorflow.proto.example.Feature.Builder
getKindCase() - Method in class org.tensorflow.proto.example.Feature
getKindCase() - Method in interface org.tensorflow.proto.example.FeatureOrBuilder
getKindCase() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder
getKindCase() - Method in class org.tensorflow.proto.framework.CollectionDef
getKindCase() - Method in interface org.tensorflow.proto.framework.CollectionDefOrBuilder
getKindCase() - Method in class org.tensorflow.proto.framework.SavedObject.Builder
getKindCase() - Method in class org.tensorflow.proto.framework.SavedObject
getKindCase() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder
getKindCase() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder
getKindCase() - Method in class org.tensorflow.proto.framework.StructuredValue
getKindCase() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder
getKindCase() - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder
getKindCase() - Method in class org.tensorflow.proto.util.testlog.CommitId
getKindCase() - Method in interface org.tensorflow.proto.util.testlog.CommitIdOrBuilder
getKindCase() - Method in class org.tensorflow.proto.util.testlog.EntryValue.Builder
getKindCase() - Method in class org.tensorflow.proto.util.testlog.EntryValue
getKindCase() - Method in interface org.tensorflow.proto.util.testlog.EntryValueOrBuilder
getL1CacheSize() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: L1 cache size in bytes
getL1CacheSize() - Method in class org.tensorflow.proto.framework.DeviceProperties: L1 cache size in bytes
getL1CacheSize() - Method in interface org.tensorflow.proto.framework.DevicePropertiesOrBuilder: L1 cache size in bytes
getL2CacheSize() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: L2 cache size in bytes
getL2CacheSize() - Method in class org.tensorflow.proto.framework.DeviceProperties: L2 cache size in bytes
getL2CacheSize() - Method in interface org.tensorflow.proto.framework.DevicePropertiesOrBuilder: L2 cache size in bytes
getL3CacheSize() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: L3 cache size in bytes
getL3CacheSize() - Method in class org.tensorflow.proto.framework.DeviceProperties: L3 cache size in bytes
getL3CacheSize() - Method in interface org.tensorflow.proto.framework.DevicePropertiesOrBuilder: L3 cache size in bytes
getLabel() - Method in class org.tensorflow.proto.framework.KernelDef.Builder: This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
getLabel() - Method in class org.tensorflow.proto.framework.KernelDef: This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
getLabel() - Method in interface org.tensorflow.proto.framework.KernelDefOrBuilder: This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
getLabelBytes() - Method in class org.tensorflow.proto.framework.KernelDef.Builder: This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
getLabelBytes() - Method in class org.tensorflow.proto.framework.KernelDef: This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
getLabelBytes() - Method in interface org.tensorflow.proto.framework.KernelDefOrBuilder: This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
getLargestAllocSize() - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder: int64 largest_alloc_size = 4;
getLargestAllocSize() - Method in class org.tensorflow.proto.util.MemAllocatorStats: int64 largest_alloc_size = 4;
getLargestAllocSize() - Method in interface org.tensorflow.proto.util.MemAllocatorStatsOrBuilder: int64 largest_alloc_size = 4;
getLastModified() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder: The timestamp at which the source code file is last modified.
getLastModified() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile: The timestamp at which the source code file is last modified.
getLastModified() - Method in interface org.tensorflow.proto.framework.DebuggedSourceFileOrBuilder: The timestamp at which the source code file is last modified.
getLayoutOptimizer() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Optimize tensor layouts (default is ON) e.g.
getLayoutOptimizer() - Method in class org.tensorflow.proto.framework.RewriterConfig: Optimize tensor layouts (default is ON) e.g.
getLayoutOptimizer() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Optimize tensor layouts (default is ON) e.g.
getLayoutOptimizerValue() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Optimize tensor layouts (default is ON) e.g.
getLayoutOptimizerValue() - Method in class org.tensorflow.proto.framework.RewriterConfig: Optimize tensor layouts (default is ON) e.g.
getLayoutOptimizerValue() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Optimize tensor layouts (default is ON) e.g.
getLength() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent.Builder: int64 length = 2;
getLength() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent: int64 length = 2;
getLength() - Method in interface org.tensorflow.proto.framework.TensorSliceProto.ExtentOrBuilder: int64 length = 2;
getLength() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder: uint64 length = 3;
getLength() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement: uint64 length = 3;
getLength() - Method in interface org.tensorflow.proto.util.MemmappedFileSystemDirectoryElementOrBuilder: uint64 length = 3;
getLengthFrames() - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder: Length of the audio in frames (samples per channel).
getLengthFrames() - Method in class org.tensorflow.proto.framework.Summary.Audio: Length of the audio in frames (samples per channel).
getLengthFrames() - Method in interface org.tensorflow.proto.framework.Summary.AudioOrBuilder: Length of the audio in frames (samples per channel).
getLevel() - Method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.

.tensorflow.LogMessage.Level level = 1;
getLevel() - Method in class org.tensorflow.proto.util.LogMessage: Deprecated.

.tensorflow.LogMessage.Level level = 1;
getLevel() - Method in interface org.tensorflow.proto.util.LogMessageOrBuilder: Deprecated.

.tensorflow.LogMessage.Level level = 1;
getLevelValue() - Method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.

.tensorflow.LogMessage.Level level = 1;
getLevelValue() - Method in class org.tensorflow.proto.util.LogMessage: Deprecated.

.tensorflow.LogMessage.Level level = 1;
getLevelValue() - Method in interface org.tensorflow.proto.util.LogMessageOrBuilder: Deprecated.

.tensorflow.LogMessage.Level level = 1;
getLibrary() - Method in class org.tensorflow.proto.framework.GraphDef.Builder: "library" provides user-defined functions.
getLibrary() - Method in class org.tensorflow.proto.framework.GraphDef: "library" provides user-defined functions.
getLibrary() - Method in interface org.tensorflow.proto.framework.GraphDefOrBuilder: "library" provides user-defined functions.
getLibraryBuilder() - Method in class org.tensorflow.proto.framework.GraphDef.Builder: "library" provides user-defined functions.
getLibraryOrBuilder() - Method in class org.tensorflow.proto.framework.GraphDef.Builder: "library" provides user-defined functions.
getLibraryOrBuilder() - Method in class org.tensorflow.proto.framework.GraphDef: "library" provides user-defined functions.
getLibraryOrBuilder() - Method in interface org.tensorflow.proto.framework.GraphDefOrBuilder: "library" provides user-defined functions.
getLine() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder: Line number in the file.
getLine() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol: Line number in the file.
getLine() - Method in interface org.tensorflow.proto.framework.GraphDebugInfo.FileLineColOrBuilder: Line number in the file.
getLines(int) - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder: Line-by-line content of the source code file.
getLines(int) - Method in class org.tensorflow.proto.framework.DebuggedSourceFile: Line-by-line content of the source code file.
getLines(int) - Method in interface org.tensorflow.proto.framework.DebuggedSourceFileOrBuilder: Line-by-line content of the source code file.
getLines(int) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: Parallel timelines grouped in this plane.
getLines(int) - Method in class org.tensorflow.proto.profiler.XPlane: Parallel timelines grouped in this plane.
getLines(int) - Method in interface org.tensorflow.proto.profiler.XPlaneOrBuilder: Parallel timelines grouped in this plane.
getLines(int) - Method in class org.tensorflow.proto.util.SourceFile.Builder: Line-by-line content of the file.
getLines(int) - Method in class org.tensorflow.proto.util.SourceFile: Line-by-line content of the file.
getLines(int) - Method in interface org.tensorflow.proto.util.SourceFileOrBuilder: Line-by-line content of the file.
getLinesBuilder(int) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: Parallel timelines grouped in this plane.
getLinesBuilderList() - Method in class org.tensorflow.proto.profiler.XPlane.Builder: Parallel timelines grouped in this plane.
getLinesBytes(int) - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder: Line-by-line content of the source code file.
getLinesBytes(int) - Method in class org.tensorflow.proto.framework.DebuggedSourceFile: Line-by-line content of the source code file.
getLinesBytes(int) - Method in interface org.tensorflow.proto.framework.DebuggedSourceFileOrBuilder: Line-by-line content of the source code file.
getLinesBytes(int) - Method in class org.tensorflow.proto.util.SourceFile.Builder: Line-by-line content of the file.
getLinesBytes(int) - Method in class org.tensorflow.proto.util.SourceFile: Line-by-line content of the file.
getLinesBytes(int) - Method in interface org.tensorflow.proto.util.SourceFileOrBuilder: Line-by-line content of the file.
getLinesCount() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder: Line-by-line content of the source code file.
getLinesCount() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile: Line-by-line content of the source code file.
getLinesCount() - Method in interface org.tensorflow.proto.framework.DebuggedSourceFileOrBuilder: Line-by-line content of the source code file.
getLinesCount() - Method in class org.tensorflow.proto.profiler.XPlane.Builder: Parallel timelines grouped in this plane.
getLinesCount() - Method in class org.tensorflow.proto.profiler.XPlane: Parallel timelines grouped in this plane.
getLinesCount() - Method in interface org.tensorflow.proto.profiler.XPlaneOrBuilder: Parallel timelines grouped in this plane.
getLinesCount() - Method in class org.tensorflow.proto.util.SourceFile.Builder: Line-by-line content of the file.
getLinesCount() - Method in class org.tensorflow.proto.util.SourceFile: Line-by-line content of the file.
getLinesCount() - Method in interface org.tensorflow.proto.util.SourceFileOrBuilder: Line-by-line content of the file.
getLinesList() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder: Line-by-line content of the source code file.
getLinesList() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile: Line-by-line content of the source code file.
getLinesList() - Method in interface org.tensorflow.proto.framework.DebuggedSourceFileOrBuilder: Line-by-line content of the source code file.
getLinesList() - Method in class org.tensorflow.proto.profiler.XPlane.Builder: Parallel timelines grouped in this plane.
getLinesList() - Method in class org.tensorflow.proto.profiler.XPlane: Parallel timelines grouped in this plane.
getLinesList() - Method in interface org.tensorflow.proto.profiler.XPlaneOrBuilder: Parallel timelines grouped in this plane.
getLinesList() - Method in class org.tensorflow.proto.util.SourceFile.Builder: Line-by-line content of the file.
getLinesList() - Method in class org.tensorflow.proto.util.SourceFile: Line-by-line content of the file.
getLinesList() - Method in interface org.tensorflow.proto.util.SourceFileOrBuilder: Line-by-line content of the file.
getLinesOrBuilder(int) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: Parallel timelines grouped in this plane.
getLinesOrBuilder(int) - Method in class org.tensorflow.proto.profiler.XPlane: Parallel timelines grouped in this plane.
getLinesOrBuilder(int) - Method in interface org.tensorflow.proto.profiler.XPlaneOrBuilder: Parallel timelines grouped in this plane.
getLinesOrBuilderList() - Method in class org.tensorflow.proto.profiler.XPlane.Builder: Parallel timelines grouped in this plane.
getLinesOrBuilderList() - Method in class org.tensorflow.proto.profiler.XPlane: Parallel timelines grouped in this plane.
getLinesOrBuilderList() - Method in interface org.tensorflow.proto.profiler.XPlaneOrBuilder: Parallel timelines grouped in this plane.
getLink(int) - Method in class org.tensorflow.proto.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
getLink(int) - Method in class org.tensorflow.proto.framework.LocalLinks: repeated .tensorflow.InterconnectLink link = 1;
getLink(int) - Method in interface org.tensorflow.proto.framework.LocalLinksOrBuilder: repeated .tensorflow.InterconnectLink link = 1;
getLinkage() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
getLinkage() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo: e.g.
getLinkage() - Method in interface org.tensorflow.proto.util.testlog.PlatformInfoOrBuilder: e.g.
getLinkageBytes() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
getLinkageBytes() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo: e.g.
getLinkageBytes() - Method in interface org.tensorflow.proto.util.testlog.PlatformInfoOrBuilder: e.g.
getLinkBuilder(int) - Method in class org.tensorflow.proto.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
getLinkBuilderList() - Method in class org.tensorflow.proto.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
getLinkCount() - Method in class org.tensorflow.proto.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
getLinkCount() - Method in class org.tensorflow.proto.framework.LocalLinks: repeated .tensorflow.InterconnectLink link = 1;
getLinkCount() - Method in interface org.tensorflow.proto.framework.LocalLinksOrBuilder: repeated .tensorflow.InterconnectLink link = 1;
getLinkList() - Method in class org.tensorflow.proto.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
getLinkList() - Method in class org.tensorflow.proto.framework.LocalLinks: repeated .tensorflow.InterconnectLink link = 1;
getLinkList() - Method in interface org.tensorflow.proto.framework.LocalLinksOrBuilder: repeated .tensorflow.InterconnectLink link = 1;
getLinkOrBuilder(int) - Method in class org.tensorflow.proto.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
getLinkOrBuilder(int) - Method in class org.tensorflow.proto.framework.LocalLinks: repeated .tensorflow.InterconnectLink link = 1;
getLinkOrBuilder(int) - Method in interface org.tensorflow.proto.framework.LocalLinksOrBuilder: repeated .tensorflow.InterconnectLink link = 1;
getLinkOrBuilderList() - Method in class org.tensorflow.proto.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
getLinkOrBuilderList() - Method in class org.tensorflow.proto.framework.LocalLinks: repeated .tensorflow.InterconnectLink link = 1;
getLinkOrBuilderList() - Method in interface org.tensorflow.proto.framework.LocalLinksOrBuilder: repeated .tensorflow.InterconnectLink link = 1;
getLinks() - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder: Optional local interconnect links to other devices.
getLinks() - Method in class org.tensorflow.proto.framework.DeviceLocality: Optional local interconnect links to other devices.
getLinks() - Method in interface org.tensorflow.proto.framework.DeviceLocalityOrBuilder: Optional local interconnect links to other devices.
getLinksBuilder() - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder: Optional local interconnect links to other devices.
getLinksOrBuilder() - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder: Optional local interconnect links to other devices.
getLinksOrBuilder() - Method in class org.tensorflow.proto.framework.DeviceLocality: Optional local interconnect links to other devices.
getLinksOrBuilder() - Method in interface org.tensorflow.proto.framework.DeviceLocalityOrBuilder: Optional local interconnect links to other devices.
getList() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: any "list(...)"
getList() - Method in class org.tensorflow.proto.framework.AttrValue: any "list(...)"
getList() - Method in interface org.tensorflow.proto.framework.AttrValueOrBuilder: any "list(...)"
getListBuilder() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: any "list(...)"
getListOrBuilder() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: any "list(...)"
getListOrBuilder() - Method in class org.tensorflow.proto.framework.AttrValue: any "list(...)"
getListOrBuilder() - Method in interface org.tensorflow.proto.framework.AttrValueOrBuilder: any "list(...)"
getListValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a list of `Value`.
getListValue() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents a list of `Value`.
getListValue() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents a list of `Value`.
getListValueBuilder() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a list of `Value`.
getListValueOrBuilder() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a list of `Value`.
getListValueOrBuilder() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents a list of `Value`.
getListValueOrBuilder() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents a list of `Value`.
getLiveBytes() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: The bytes that are not deallocated.
getLiveBytes() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed: The bytes that are not deallocated.
getLiveBytes() - Method in interface org.tensorflow.proto.framework.AllocatorMemoryUsedOrBuilder: The bytes that are not deallocated.
getLocality() - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: Platform-specific data about device that may be useful for supporting efficient data transfers.
getLocality() - Method in class org.tensorflow.proto.framework.DeviceAttributes: Platform-specific data about device that may be useful for supporting efficient data transfers.
getLocality() - Method in interface org.tensorflow.proto.framework.DeviceAttributesOrBuilder: Platform-specific data about device that may be useful for supporting efficient data transfers.
getLocalityBuilder() - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: Platform-specific data about device that may be useful for supporting efficient data transfers.
getLocalityOrBuilder() - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: Platform-specific data about device that may be useful for supporting efficient data transfers.
getLocalityOrBuilder() - Method in class org.tensorflow.proto.framework.DeviceAttributes: Platform-specific data about device that may be useful for supporting efficient data transfers.
getLocalityOrBuilder() - Method in interface org.tensorflow.proto.framework.DeviceAttributesOrBuilder: Platform-specific data about device that may be useful for supporting efficient data transfers.
getLocalName() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference.Builder: A user-provided name for the edge.
getLocalName() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference: A user-provided name for the edge.
getLocalName() - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReferenceOrBuilder: A user-provided name for the edge.
getLocalNameBytes() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference.Builder: A user-provided name for the edge.
getLocalNameBytes() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference: A user-provided name for the edge.
getLocalNameBytes() - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReferenceOrBuilder: A user-provided name for the edge.
getLogDevicePlacement() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Whether device placements should be logged.
getLogDevicePlacement() - Method in class org.tensorflow.proto.framework.ConfigProto: Whether device placements should be logged.
getLogDevicePlacement() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: Whether device placements should be logged.
getLogMessage() - Method in class org.tensorflow.proto.util.Event.Builder: Deprecated.
getLogMessage() - Method in class org.tensorflow.proto.util.Event: Deprecated.
getLogMessage() - Method in interface org.tensorflow.proto.util.EventOrBuilder: Deprecated.
getLogMessageBuilder() - Method in class org.tensorflow.proto.util.Event.Builder: Deprecated.
getLogMessageOrBuilder() - Method in class org.tensorflow.proto.util.Event.Builder: Deprecated.
getLogMessageOrBuilder() - Method in class org.tensorflow.proto.util.Event: Deprecated.
getLogMessageOrBuilder() - Method in interface org.tensorflow.proto.util.EventOrBuilder: Deprecated.
getLoopEnterNames(int) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: List of names for enter tensors.
getLoopEnterNames(int) - Method in class org.tensorflow.proto.framework.WhileContextDef: List of names for enter tensors.
getLoopEnterNames(int) - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: List of names for enter tensors.
getLoopEnterNamesBytes(int) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: List of names for enter tensors.
getLoopEnterNamesBytes(int) - Method in class org.tensorflow.proto.framework.WhileContextDef: List of names for enter tensors.
getLoopEnterNamesBytes(int) - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: List of names for enter tensors.
getLoopEnterNamesCount() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: List of names for enter tensors.
getLoopEnterNamesCount() - Method in class org.tensorflow.proto.framework.WhileContextDef: List of names for enter tensors.
getLoopEnterNamesCount() - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: List of names for enter tensors.
getLoopEnterNamesList() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: List of names for enter tensors.
getLoopEnterNamesList() - Method in class org.tensorflow.proto.framework.WhileContextDef: List of names for enter tensors.
getLoopEnterNamesList() - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: List of names for enter tensors.
getLoopExitNames(int) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: List of names for exit tensors.
getLoopExitNames(int) - Method in class org.tensorflow.proto.framework.WhileContextDef: List of names for exit tensors.
getLoopExitNames(int) - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: List of names for exit tensors.
getLoopExitNamesBytes(int) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: List of names for exit tensors.
getLoopExitNamesBytes(int) - Method in class org.tensorflow.proto.framework.WhileContextDef: List of names for exit tensors.
getLoopExitNamesBytes(int) - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: List of names for exit tensors.
getLoopExitNamesCount() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: List of names for exit tensors.
getLoopExitNamesCount() - Method in class org.tensorflow.proto.framework.WhileContextDef: List of names for exit tensors.
getLoopExitNamesCount() - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: List of names for exit tensors.
getLoopExitNamesList() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: List of names for exit tensors.
getLoopExitNamesList() - Method in class org.tensorflow.proto.framework.WhileContextDef: List of names for exit tensors.
getLoopExitNamesList() - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: List of names for exit tensors.
getLoopOptimization() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Loop optimizations (default is ON).
getLoopOptimization() - Method in class org.tensorflow.proto.framework.RewriterConfig: Loop optimizations (default is ON).
getLoopOptimization() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Loop optimizations (default is ON).
getLoopOptimizationValue() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Loop optimizations (default is ON).
getLoopOptimizationValue() - Method in class org.tensorflow.proto.framework.RewriterConfig: Loop optimizations (default is ON).
getLoopOptimizationValue() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Loop optimizations (default is ON).
getMachine() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
getMachine() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo: e.g.
getMachine() - Method in interface org.tensorflow.proto.util.testlog.PlatformInfoOrBuilder: e.g.
getMachineBytes() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
getMachineBytes() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo: e.g.
getMachineBytes() - Method in interface org.tensorflow.proto.util.testlog.PlatformInfoOrBuilder: e.g.
getMachineConfiguration() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: Machine-specific parameters (Platform and CPU info)
getMachineConfiguration() - Method in class org.tensorflow.proto.util.testlog.TestResults: Machine-specific parameters (Platform and CPU info)
getMachineConfiguration() - Method in interface org.tensorflow.proto.util.testlog.TestResultsOrBuilder: Machine-specific parameters (Platform and CPU info)
getMachineConfigurationBuilder() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: Machine-specific parameters (Platform and CPU info)
getMachineConfigurationOrBuilder() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: Machine-specific parameters (Platform and CPU info)
getMachineConfigurationOrBuilder() - Method in class org.tensorflow.proto.util.testlog.TestResults: Machine-specific parameters (Platform and CPU info)
getMachineConfigurationOrBuilder() - Method in interface org.tensorflow.proto.util.testlog.TestResultsOrBuilder: Machine-specific parameters (Platform and CPU info)
getMapAndBatchFusion() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder: bool map_and_batch_fusion = 9;
getMapAndBatchFusion() - Method in class org.tensorflow.proto.data.OptimizationOptions: bool map_and_batch_fusion = 9;
getMapAndBatchFusion() - Method in interface org.tensorflow.proto.data.OptimizationOptionsOrBuilder: bool map_and_batch_fusion = 9;
getMapAndFilterFusion() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder: bool map_and_filter_fusion = 10;
getMapAndFilterFusion() - Method in class org.tensorflow.proto.data.OptimizationOptions: bool map_and_filter_fusion = 10;
getMapAndFilterFusion() - Method in interface org.tensorflow.proto.data.OptimizationOptionsOrBuilder: bool map_and_filter_fusion = 10;
getMapFusion() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder: bool map_fusion = 11;
getMapFusion() - Method in class org.tensorflow.proto.data.OptimizationOptions: bool map_fusion = 11;
getMapFusion() - Method in interface org.tensorflow.proto.data.OptimizationOptionsOrBuilder: bool map_fusion = 11;
getMapParallelization() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder: bool map_parallelization = 12;
getMapParallelization() - Method in class org.tensorflow.proto.data.OptimizationOptions: bool map_parallelization = 12;
getMapParallelization() - Method in interface org.tensorflow.proto.data.OptimizationOptionsOrBuilder: bool map_parallelization = 12;
getMax() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder: Maximum value of the parameter.
getMax() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter: Maximum value of the parameter.
getMax() - Method in interface org.tensorflow.proto.data.model.ModelProto.Node.ParameterOrBuilder: Maximum value of the parameter.
getMax() - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: double max = 2;
getMax() - Method in class org.tensorflow.proto.framework.HistogramProto: double max = 2;
getMax() - Method in interface org.tensorflow.proto.framework.HistogramProtoOrBuilder: double max = 2;
getMaxByteSize(int) - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder: repeated int32 max_byte_size = 2;
getMaxByteSize(int) - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo: repeated int32 max_byte_size = 2;
getMaxByteSize(int) - Method in interface org.tensorflow.proto.framework.GraphTransferNodeOutputInfoOrBuilder: repeated int32 max_byte_size = 2;
getMaxByteSizeCount() - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder: repeated int32 max_byte_size = 2;
getMaxByteSizeCount() - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo: repeated int32 max_byte_size = 2;
getMaxByteSizeCount() - Method in interface org.tensorflow.proto.framework.GraphTransferNodeOutputInfoOrBuilder: repeated int32 max_byte_size = 2;
getMaxByteSizeList() - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder: repeated int32 max_byte_size = 2;
getMaxByteSizeList() - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo: repeated int32 max_byte_size = 2;
getMaxByteSizeList() - Method in interface org.tensorflow.proto.framework.GraphTransferNodeOutputInfoOrBuilder: repeated int32 max_byte_size = 2;
getMaxFoldedConstantInBytes() - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder: Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.
getMaxFoldedConstantInBytes() - Method in class org.tensorflow.proto.framework.OptimizerOptions: Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.
getMaxFoldedConstantInBytes() - Method in interface org.tensorflow.proto.framework.OptimizerOptionsOrBuilder: Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.
getMaximum() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto maximum = 5;
getMaximum() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto: .tensorflow.TensorProto maximum = 5;
getMaximum() - Method in interface org.tensorflow.proto.framework.BoundedTensorSpecProtoOrBuilder: .tensorflow.TensorProto maximum = 5;
getMaximumBuilder() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto maximum = 5;
getMaximumIterationsName() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Optional name of the maximum_iterations tensor.
getMaximumIterationsName() - Method in class org.tensorflow.proto.framework.WhileContextDef: Optional name of the maximum_iterations tensor.
getMaximumIterationsName() - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: Optional name of the maximum_iterations tensor.
getMaximumIterationsNameBytes() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Optional name of the maximum_iterations tensor.
getMaximumIterationsNameBytes() - Method in class org.tensorflow.proto.framework.WhileContextDef: Optional name of the maximum_iterations tensor.
getMaximumIterationsNameBytes() - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: Optional name of the maximum_iterations tensor.
getMaximumOrBuilder() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto maximum = 5;
getMaximumOrBuilder() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto: .tensorflow.TensorProto maximum = 5;
getMaximumOrBuilder() - Method in interface org.tensorflow.proto.framework.BoundedTensorSpecProtoOrBuilder: .tensorflow.TensorProto maximum = 5;
getMaxIntraOpParallelism() - Method in class org.tensorflow.proto.data.ThreadingOptions.Builder: int32 max_intra_op_parallelism = 1;
getMaxIntraOpParallelism() - Method in class org.tensorflow.proto.data.ThreadingOptions: int32 max_intra_op_parallelism = 1;
getMaxIntraOpParallelism() - Method in interface org.tensorflow.proto.data.ThreadingOptionsOrBuilder: int32 max_intra_op_parallelism = 1;
getMaxSessionDurationMs() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder: Maximum time (in milliseconds) a profiling session manager waits for all profilers to finish after issuing gRPC request.
getMaxSessionDurationMs() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions: Maximum time (in milliseconds) a profiling session manager waits for all profilers to finish after issuing gRPC request.
getMaxSessionDurationMs() - Method in interface org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptionsOrBuilder: Maximum time (in milliseconds) a profiling session manager waits for all profilers to finish after issuing gRPC request.
getMaxToKeep() - Method in class org.tensorflow.proto.util.SaverDef.Builder: Maximum number of checkpoints to keep.
getMaxToKeep() - Method in class org.tensorflow.proto.util.SaverDef: Maximum number of checkpoints to keep.
getMaxToKeep() - Method in interface org.tensorflow.proto.util.SaverDefOrBuilder: Maximum number of checkpoints to keep.
getMaxValue() - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder: The maximum acceptable value for the metric if specified
getMaxValue() - Method in class org.tensorflow.proto.util.testlog.MetricEntry: The maximum acceptable value for the metric if specified
getMaxValue() - Method in interface org.tensorflow.proto.util.testlog.MetricEntryOrBuilder: The maximum acceptable value for the metric if specified
getMaxValueBuilder() - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder: The maximum acceptable value for the metric if specified
getMaxValueOrBuilder() - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder: The maximum acceptable value for the metric if specified
getMaxValueOrBuilder() - Method in class org.tensorflow.proto.util.testlog.MetricEntry: The maximum acceptable value for the metric if specified
getMaxValueOrBuilder() - Method in interface org.tensorflow.proto.util.testlog.MetricEntryOrBuilder: The maximum acceptable value for the metric if specified
getMaybeTypeName() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: For debug-only, the name of the type pointed to by this handle, if available.
getMaybeTypeName() - Method in class org.tensorflow.proto.framework.ResourceHandleProto: For debug-only, the name of the type pointed to by this handle, if available.
getMaybeTypeName() - Method in interface org.tensorflow.proto.framework.ResourceHandleProtoOrBuilder: For debug-only, the name of the type pointed to by this handle, if available.
getMaybeTypeNameBytes() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: For debug-only, the name of the type pointed to by this handle, if available.
getMaybeTypeNameBytes() - Method in class org.tensorflow.proto.framework.ResourceHandleProto: For debug-only, the name of the type pointed to by this handle, if available.
getMaybeTypeNameBytes() - Method in interface org.tensorflow.proto.framework.ResourceHandleProtoOrBuilder: For debug-only, the name of the type pointed to by this handle, if available.
getMemory(int) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemory(int) - Method in class org.tensorflow.proto.framework.NodeExecStats: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemory(int) - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryBuilder(int) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryBuilderList() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryCount() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryCount() - Method in class org.tensorflow.proto.framework.NodeExecStats: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryCount() - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryEfficiency() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: Percentage of theoretical memory performance.
getMemoryEfficiency() - Method in class org.tensorflow.proto.framework.OpPerformance: Percentage of theoretical memory performance.
getMemoryEfficiency() - Method in interface org.tensorflow.proto.framework.OpPerformanceOrBuilder: Percentage of theoretical memory performance.
getMemoryInfo() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: .tensorflow.MemoryInfo memory_info = 6;
getMemoryInfo() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration: .tensorflow.MemoryInfo memory_info = 6;
getMemoryInfo() - Method in interface org.tensorflow.proto.util.testlog.MachineConfigurationOrBuilder: .tensorflow.MemoryInfo memory_info = 6;
getMemoryInfoBuilder() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: .tensorflow.MemoryInfo memory_info = 6;
getMemoryInfoOrBuilder() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: .tensorflow.MemoryInfo memory_info = 6;
getMemoryInfoOrBuilder() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration: .tensorflow.MemoryInfo memory_info = 6;
getMemoryInfoOrBuilder() - Method in interface org.tensorflow.proto.util.testlog.MachineConfigurationOrBuilder: .tensorflow.MemoryInfo memory_info = 6;
getMemoryLimit() - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: Memory capacity of device in bytes.
getMemoryLimit() - Method in class org.tensorflow.proto.framework.DeviceAttributes: Memory capacity of device in bytes.
getMemoryLimit() - Method in interface org.tensorflow.proto.framework.DeviceAttributesOrBuilder: Memory capacity of device in bytes.
getMemoryLimit() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder: Memory capacity in bytes.
getMemoryLimit() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo: Memory capacity in bytes.
getMemoryLimit() - Method in interface org.tensorflow.proto.util.testlog.AvailableDeviceInfoOrBuilder: Memory capacity in bytes.
getMemoryLimitMb(int) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder: Per "virtual" device memory limit, in MB.
getMemoryLimitMb(int) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices: Per "virtual" device memory limit, in MB.
getMemoryLimitMb(int) - Method in interface org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevicesOrBuilder: Per "virtual" device memory limit, in MB.
getMemoryLimitMbCount() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder: Per "virtual" device memory limit, in MB.
getMemoryLimitMbCount() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices: Per "virtual" device memory limit, in MB.
getMemoryLimitMbCount() - Method in interface org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevicesOrBuilder: Per "virtual" device memory limit, in MB.
getMemoryLimitMbList() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder: Per "virtual" device memory limit, in MB.
getMemoryLimitMbList() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices: Per "virtual" device memory limit, in MB.
getMemoryLimitMbList() - Method in interface org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevicesOrBuilder: Per "virtual" device memory limit, in MB.
getMemoryList() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryList() - Method in class org.tensorflow.proto.framework.NodeExecStats: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryList() - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryOptimization() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Configures memory optimization passes through the meta-optimizer.
getMemoryOptimization() - Method in class org.tensorflow.proto.framework.RewriterConfig: Configures memory optimization passes through the meta-optimizer.
getMemoryOptimization() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Configures memory optimization passes through the meta-optimizer.
getMemoryOptimizationValue() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Configures memory optimization passes through the meta-optimizer.
getMemoryOptimizationValue() - Method in class org.tensorflow.proto.framework.RewriterConfig: Configures memory optimization passes through the meta-optimizer.
getMemoryOptimizationValue() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Configures memory optimization passes through the meta-optimizer.
getMemoryOptimizerTargetNodeNameScope() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: A node name scope for node names which are valid outputs of recomputations.
getMemoryOptimizerTargetNodeNameScope() - Method in class org.tensorflow.proto.framework.RewriterConfig: A node name scope for node names which are valid outputs of recomputations.
getMemoryOptimizerTargetNodeNameScope() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: A node name scope for node names which are valid outputs of recomputations.
getMemoryOptimizerTargetNodeNameScopeBytes() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: A node name scope for node names which are valid outputs of recomputations.
getMemoryOptimizerTargetNodeNameScopeBytes() - Method in class org.tensorflow.proto.framework.RewriterConfig: A node name scope for node names which are valid outputs of recomputations.
getMemoryOptimizerTargetNodeNameScopeBytes() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: A node name scope for node names which are valid outputs of recomputations.
getMemoryOrBuilder(int) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryOrBuilder(int) - Method in class org.tensorflow.proto.framework.NodeExecStats: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryOrBuilder(int) - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryOrBuilderList() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryOrBuilderList() - Method in class org.tensorflow.proto.framework.NodeExecStats: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryOrBuilderList() - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryRatio() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Ratio identifies how many parallelism calls are introduced by one buffered element.
getMemoryRatio() - Method in class org.tensorflow.proto.data.model.ModelProto.Node: Ratio identifies how many parallelism calls are introduced by one buffered element.
getMemoryRatio() - Method in interface org.tensorflow.proto.data.model.ModelProto.NodeOrBuilder: Ratio identifies how many parallelism calls are introduced by one buffered element.
getMemorySize() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Memory size in bytes
getMemorySize() - Method in class org.tensorflow.proto.framework.DeviceProperties: Memory size in bytes
getMemorySize() - Method in interface org.tensorflow.proto.framework.DevicePropertiesOrBuilder: Memory size in bytes
getMemoryStats() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: .tensorflow.MemoryStats memory_stats = 12;
getMemoryStats() - Method in class org.tensorflow.proto.framework.NodeExecStats: .tensorflow.MemoryStats memory_stats = 12;
getMemoryStats() - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: .tensorflow.MemoryStats memory_stats = 12;
getMemoryStatsBuilder() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: .tensorflow.MemoryStats memory_stats = 12;
getMemoryStatsOrBuilder() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: .tensorflow.MemoryStats memory_stats = 12;
getMemoryStatsOrBuilder() - Method in class org.tensorflow.proto.framework.NodeExecStats: .tensorflow.MemoryStats memory_stats = 12;
getMemoryStatsOrBuilder() - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: .tensorflow.MemoryStats memory_stats = 12;
getMemoryTime() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Analytical estimate of the memory access cost of this node, in microseconds.
getMemoryTime() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node: Analytical estimate of the memory access cost of this node, in microseconds.
getMemoryTime() - Method in interface org.tensorflow.proto.framework.CostGraphDef.NodeOrBuilder: Analytical estimate of the memory access cost of this node, in microseconds.
getMemoryTime() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: Analytical memory access cost (in nanoseconds).
getMemoryTime() - Method in class org.tensorflow.proto.framework.OpPerformance: Analytical memory access cost (in nanoseconds).
getMemoryTime() - Method in interface org.tensorflow.proto.framework.OpPerformanceOrBuilder: Analytical memory access cost (in nanoseconds).
getMessage() - Method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.

string message = 2;
getMessage() - Method in class org.tensorflow.proto.util.LogMessage: Deprecated.

string message = 2;
getMessage() - Method in interface org.tensorflow.proto.util.LogMessageOrBuilder: Deprecated.

string message = 2;
getMessageBytes() - Method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.

string message = 2;
getMessageBytes() - Method in class org.tensorflow.proto.util.LogMessage: Deprecated.

string message = 2;
getMessageBytes() - Method in interface org.tensorflow.proto.util.LogMessageOrBuilder: Deprecated.

string message = 2;
getMeta() - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder: This is only present at the first item of each checkpoint file and serves as a table of contents, listing all the tensor slices saved in this file.
getMeta() - Method in class org.tensorflow.proto.util.SavedTensorSlices: This is only present at the first item of each checkpoint file and serves as a table of contents, listing all the tensor slices saved in this file.
getMeta() - Method in interface org.tensorflow.proto.util.SavedTensorSlicesOrBuilder: This is only present at the first item of each checkpoint file and serves as a table of contents, listing all the tensor slices saved in this file.
getMetaBuilder() - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder: This is only present at the first item of each checkpoint file and serves as a table of contents, listing all the tensor slices saved in this file.
getMetadata() - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder: Deprecated.
getMetadata() - Method in class org.tensorflow.proto.framework.SavedUserObject: Deprecated.
getMetadata() - Method in interface org.tensorflow.proto.framework.SavedUserObjectOrBuilder: Deprecated.
getMetadata() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: Contains metadata on the summary value such as which plugins may use it.
getMetadata() - Method in class org.tensorflow.proto.framework.Summary.Value: Contains metadata on the summary value such as which plugins may use it.
getMetadata() - Method in interface org.tensorflow.proto.framework.Summary.ValueOrBuilder: Contains metadata on the summary value such as which plugins may use it.
getMetadata() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder: Portions of the object that are not Tensors.
getMetadata() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto: Portions of the object that are not Tensors.
getMetadata() - Method in interface org.tensorflow.proto.framework.VariantTensorDataProtoOrBuilder: Portions of the object that are not Tensors.
getMetadata() - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: Additional metadata in serialized format.
getMetadata() - Method in class org.tensorflow.proto.profiler.XEventMetadata: Additional metadata in serialized format.
getMetadata() - Method in interface org.tensorflow.proto.profiler.XEventMetadataOrBuilder: Additional metadata in serialized format.
getMetadataBuilder() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: Contains metadata on the summary value such as which plugins may use it.
getMetadataBytes() - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder: Deprecated.
getMetadataBytes() - Method in class org.tensorflow.proto.framework.SavedUserObject: Deprecated.
getMetadataBytes() - Method in interface org.tensorflow.proto.framework.SavedUserObjectOrBuilder: Deprecated.
getMetadataId() - Method in class org.tensorflow.proto.profiler.XEvent.Builder: XEventMetadata.id of corresponding metadata.
getMetadataId() - Method in class org.tensorflow.proto.profiler.XEvent: XEventMetadata.id of corresponding metadata.
getMetadataId() - Method in interface org.tensorflow.proto.profiler.XEventOrBuilder: XEventMetadata.id of corresponding metadata.
getMetadataId() - Method in class org.tensorflow.proto.profiler.XStat.Builder: XStatMetadata.id of corresponding metadata.
getMetadataId() - Method in class org.tensorflow.proto.profiler.XStat: XStatMetadata.id of corresponding metadata.
getMetadataId() - Method in interface org.tensorflow.proto.profiler.XStatOrBuilder: XStatMetadata.id of corresponding metadata.
getMetadataOrBuilder() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: Contains metadata on the summary value such as which plugins may use it.
getMetadataOrBuilder() - Method in class org.tensorflow.proto.framework.Summary.Value: Contains metadata on the summary value such as which plugins may use it.
getMetadataOrBuilder() - Method in interface org.tensorflow.proto.framework.Summary.ValueOrBuilder: Contains metadata on the summary value such as which plugins may use it.
getMetaGraphDef() - Method in class org.tensorflow.proto.util.Event.Builder: An encoded version of a MetaGraphDef.
getMetaGraphDef() - Method in class org.tensorflow.proto.util.Event: An encoded version of a MetaGraphDef.
getMetaGraphDef() - Method in interface org.tensorflow.proto.util.EventOrBuilder: An encoded version of a MetaGraphDef.
getMetaGraphs(int) - Method in class org.tensorflow.proto.framework.SavedModel.Builder: One or more MetaGraphs.
getMetaGraphs(int) - Method in class org.tensorflow.proto.framework.SavedModel: One or more MetaGraphs.
getMetaGraphs(int) - Method in interface org.tensorflow.proto.framework.SavedModelOrBuilder: One or more MetaGraphs.
getMetaGraphsBuilder(int) - Method in class org.tensorflow.proto.framework.SavedModel.Builder: One or more MetaGraphs.
getMetaGraphsBuilderList() - Method in class org.tensorflow.proto.framework.SavedModel.Builder: One or more MetaGraphs.
getMetaGraphsCount() - Method in class org.tensorflow.proto.framework.SavedModel.Builder: One or more MetaGraphs.
getMetaGraphsCount() - Method in class org.tensorflow.proto.framework.SavedModel: One or more MetaGraphs.
getMetaGraphsCount() - Method in interface org.tensorflow.proto.framework.SavedModelOrBuilder: One or more MetaGraphs.
getMetaGraphsList() - Method in class org.tensorflow.proto.framework.SavedModel.Builder: One or more MetaGraphs.
getMetaGraphsList() - Method in class org.tensorflow.proto.framework.SavedModel: One or more MetaGraphs.
getMetaGraphsList() - Method in interface org.tensorflow.proto.framework.SavedModelOrBuilder: One or more MetaGraphs.
getMetaGraphsOrBuilder(int) - Method in class org.tensorflow.proto.framework.SavedModel.Builder: One or more MetaGraphs.
getMetaGraphsOrBuilder(int) - Method in class org.tensorflow.proto.framework.SavedModel: One or more MetaGraphs.
getMetaGraphsOrBuilder(int) - Method in interface org.tensorflow.proto.framework.SavedModelOrBuilder: One or more MetaGraphs.
getMetaGraphsOrBuilderList() - Method in class org.tensorflow.proto.framework.SavedModel.Builder: One or more MetaGraphs.
getMetaGraphsOrBuilderList() - Method in class org.tensorflow.proto.framework.SavedModel: One or more MetaGraphs.
getMetaGraphsOrBuilderList() - Method in interface org.tensorflow.proto.framework.SavedModelOrBuilder: One or more MetaGraphs.
getMetaGraphVersion() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: User specified Version string.
getMetaGraphVersion() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef: User specified Version string.
getMetaGraphVersion() - Method in interface org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDefOrBuilder: User specified Version string.
getMetaGraphVersionBytes() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: User specified Version string.
getMetaGraphVersionBytes() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef: User specified Version string.
getMetaGraphVersionBytes() - Method in interface org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDefOrBuilder: User specified Version string.
getMetaInfoDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
getMetaInfoDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
getMetaInfoDef() - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
getMetaInfoDefBuilder() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
getMetaInfoDefOrBuilder() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
getMetaInfoDefOrBuilder() - Method in class org.tensorflow.proto.framework.MetaGraphDef: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
getMetaInfoDefOrBuilder() - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
getMetaOptimizerIterations() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Controls how many times we run the optimizers in meta optimizer (default is once).
getMetaOptimizerIterations() - Method in class org.tensorflow.proto.framework.RewriterConfig: Controls how many times we run the optimizers in meta optimizer (default is once).
getMetaOptimizerIterations() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Controls how many times we run the optimizers in meta optimizer (default is once).
getMetaOptimizerIterationsValue() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Controls how many times we run the optimizers in meta optimizer (default is once).
getMetaOptimizerIterationsValue() - Method in class org.tensorflow.proto.framework.RewriterConfig: Controls how many times we run the optimizers in meta optimizer (default is once).
getMetaOptimizerIterationsValue() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Controls how many times we run the optimizers in meta optimizer (default is once).
getMetaOptimizerTimeoutMs() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Maximum number of milliseconds to spend optimizing a single graph before timing out.
getMetaOptimizerTimeoutMs() - Method in class org.tensorflow.proto.framework.RewriterConfig: Maximum number of milliseconds to spend optimizing a single graph before timing out.
getMetaOptimizerTimeoutMs() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Maximum number of milliseconds to spend optimizing a single graph before timing out.
getMetaOrBuilder() - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder: This is only present at the first item of each checkpoint file and serves as a table of contents, listing all the tensor slices saved in this file.
getMetaOrBuilder() - Method in class org.tensorflow.proto.util.SavedTensorSlices: This is only present at the first item of each checkpoint file and serves as a table of contents, listing all the tensor slices saved in this file.
getMetaOrBuilder() - Method in interface org.tensorflow.proto.util.SavedTensorSlicesOrBuilder: This is only present at the first item of each checkpoint file and serves as a table of contents, listing all the tensor slices saved in this file.
getMethodName() - Method in class org.tensorflow.proto.framework.SignatureDef.Builder: Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.
getMethodName() - Method in class org.tensorflow.proto.framework.SignatureDef: Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.
getMethodName() - Method in interface org.tensorflow.proto.framework.SignatureDefOrBuilder: Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.
getMethodNameBytes() - Method in class org.tensorflow.proto.framework.SignatureDef.Builder: Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.
getMethodNameBytes() - Method in class org.tensorflow.proto.framework.SignatureDef: Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.
getMethodNameBytes() - Method in interface org.tensorflow.proto.framework.SignatureDefOrBuilder: Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.
getMetrics(int) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Metric name, value and expected range.
getMetrics(int) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry: Metric name, value and expected range.
getMetrics(int) - Method in interface org.tensorflow.proto.util.testlog.BenchmarkEntryOrBuilder: Metric name, value and expected range.
getMetricsBuilder(int) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Metric name, value and expected range.
getMetricsBuilderList() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Metric name, value and expected range.
getMetricsCount() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Metric name, value and expected range.
getMetricsCount() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry: Metric name, value and expected range.
getMetricsCount() - Method in interface org.tensorflow.proto.util.testlog.BenchmarkEntryOrBuilder: Metric name, value and expected range.
getMetricsList() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Metric name, value and expected range.
getMetricsList() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry: Metric name, value and expected range.
getMetricsList() - Method in interface org.tensorflow.proto.util.testlog.BenchmarkEntryOrBuilder: Metric name, value and expected range.
getMetricsOrBuilder(int) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Metric name, value and expected range.
getMetricsOrBuilder(int) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry: Metric name, value and expected range.
getMetricsOrBuilder(int) - Method in interface org.tensorflow.proto.util.testlog.BenchmarkEntryOrBuilder: Metric name, value and expected range.
getMetricsOrBuilderList() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Metric name, value and expected range.
getMetricsOrBuilderList() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry: Metric name, value and expected range.
getMetricsOrBuilderList() - Method in interface org.tensorflow.proto.util.testlog.BenchmarkEntryOrBuilder: Metric name, value and expected range.
getMhzPerCpu() - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder: How fast are these cpus?
getMhzPerCpu() - Method in class org.tensorflow.proto.util.testlog.CPUInfo: How fast are these cpus?
getMhzPerCpu() - Method in interface org.tensorflow.proto.util.testlog.CPUInfoOrBuilder: How fast are these cpus?
getMin() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder: Minimum value of the parameter.
getMin() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter: Minimum value of the parameter.
getMin() - Method in interface org.tensorflow.proto.data.model.ModelProto.Node.ParameterOrBuilder: Minimum value of the parameter.
getMin() - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: double min = 1;
getMin() - Method in class org.tensorflow.proto.framework.HistogramProto: double min = 1;
getMin() - Method in interface org.tensorflow.proto.framework.HistogramProtoOrBuilder: double min = 1;
getMinConsumer() - Method in class org.tensorflow.proto.framework.VersionDef.Builder: Any consumer below this version is not allowed to consume this data.
getMinConsumer() - Method in class org.tensorflow.proto.framework.VersionDef: Any consumer below this version is not allowed to consume this data.
getMinConsumer() - Method in interface org.tensorflow.proto.framework.VersionDefOrBuilder: Any consumer below this version is not allowed to consume this data.
getMinGraphNodes() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: The minimum number of nodes in a graph to optimizer.
getMinGraphNodes() - Method in class org.tensorflow.proto.framework.RewriterConfig: The minimum number of nodes in a graph to optimizer.
getMinGraphNodes() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: The minimum number of nodes in a graph to optimizer.
getMinimum() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto minimum = 4;
getMinimum() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto: .tensorflow.TensorProto minimum = 4;
getMinimum() - Method in interface org.tensorflow.proto.framework.BoundedTensorSpecProtoOrBuilder: .tensorflow.TensorProto minimum = 4;
getMinimum() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: int64 minimum = 6;
getMinimum() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef: int64 minimum = 6;
getMinimum() - Method in interface org.tensorflow.proto.framework.OpDef.AttrDefOrBuilder: int64 minimum = 6;
getMinimumBuilder() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto minimum = 4;
getMinimumOrBuilder() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto minimum = 4;
getMinimumOrBuilder() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto: .tensorflow.TensorProto minimum = 4;
getMinimumOrBuilder() - Method in interface org.tensorflow.proto.framework.BoundedTensorSpecProtoOrBuilder: .tensorflow.TensorProto minimum = 4;
getMinValue() - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder: The minimum acceptable value for the metric if specified
getMinValue() - Method in class org.tensorflow.proto.util.testlog.MetricEntry: The minimum acceptable value for the metric if specified
getMinValue() - Method in interface org.tensorflow.proto.util.testlog.MetricEntryOrBuilder: The minimum acceptable value for the metric if specified
getMinValueBuilder() - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder: The minimum acceptable value for the metric if specified
getMinValueOrBuilder() - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder: The minimum acceptable value for the metric if specified
getMinValueOrBuilder() - Method in class org.tensorflow.proto.util.testlog.MetricEntry: The minimum acceptable value for the metric if specified
getMinValueOrBuilder() - Method in interface org.tensorflow.proto.util.testlog.MetricEntryOrBuilder: The minimum acceptable value for the metric if specified
getMlirBridgeRollout() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: This field is underdevelopment, for now use enable_mlir_bridge (b/166038521).
getMlirBridgeRollout() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental: This field is underdevelopment, for now use enable_mlir_bridge (b/166038521).
getMlirBridgeRollout() - Method in interface org.tensorflow.proto.framework.ConfigProto.ExperimentalOrBuilder: This field is underdevelopment, for now use enable_mlir_bridge (b/166038521).
getMlirBridgeRolloutValue() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: This field is underdevelopment, for now use enable_mlir_bridge (b/166038521).
getMlirBridgeRolloutValue() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental: This field is underdevelopment, for now use enable_mlir_bridge (b/166038521).
getMlirBridgeRolloutValue() - Method in interface org.tensorflow.proto.framework.ConfigProto.ExperimentalOrBuilder: This field is underdevelopment, for now use enable_mlir_bridge (b/166038521).
getMode() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder: opt, dbg, etc
getMode() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration: opt, dbg, etc
getMode() - Method in interface org.tensorflow.proto.util.testlog.BuildConfigurationOrBuilder: opt, dbg, etc
getModeBytes() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder: opt, dbg, etc
getModeBytes() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration: opt, dbg, etc
getModeBytes() - Method in interface org.tensorflow.proto.util.testlog.BuildConfigurationOrBuilder: opt, dbg, etc
getModel() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Model (Haswell, K40, ...)
getModel() - Method in class org.tensorflow.proto.framework.DeviceProperties: Model (Haswell, K40, ...)
getModel() - Method in interface org.tensorflow.proto.framework.DevicePropertiesOrBuilder: Model (Haswell, K40, ...)
getModel() - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder: e.g.
getModel() - Method in class org.tensorflow.proto.util.testlog.GPUInfo: e.g.
getModel() - Method in interface org.tensorflow.proto.util.testlog.GPUInfoOrBuilder: e.g.
getModelBytes() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Model (Haswell, K40, ...)
getModelBytes() - Method in class org.tensorflow.proto.framework.DeviceProperties: Model (Haswell, K40, ...)
getModelBytes() - Method in interface org.tensorflow.proto.framework.DevicePropertiesOrBuilder: Model (Haswell, K40, ...)
getModelBytes() - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder: e.g.
getModelBytes() - Method in class org.tensorflow.proto.util.testlog.GPUInfo: e.g.
getModelBytes() - Method in interface org.tensorflow.proto.util.testlog.GPUInfoOrBuilder: e.g.
getModelInputTime() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder: Time between two consecutive `GetNext` calls to the iterator represented by the output node.
getModelInputTime() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams: Time between two consecutive `GetNext` calls to the iterator represented by the output node.
getModelInputTime() - Method in interface org.tensorflow.proto.data.model.ModelProto.OptimizationParamsOrBuilder: Time between two consecutive `GetNext` calls to the iterator represented by the output node.
getMsg() - Method in class org.tensorflow.proto.util.SessionLog.Builder: string msg = 3;
getMsg() - Method in class org.tensorflow.proto.util.SessionLog: string msg = 3;
getMsg() - Method in interface org.tensorflow.proto.util.SessionLogOrBuilder: string msg = 3;
getMsgBytes() - Method in class org.tensorflow.proto.util.SessionLog.Builder: string msg = 3;
getMsgBytes() - Method in class org.tensorflow.proto.util.SessionLog: string msg = 3;
getMsgBytes() - Method in interface org.tensorflow.proto.util.SessionLogOrBuilder: string msg = 3;
getMu() - Method in class org.tensorflow.proto.framework.LogNormalDistribution.Builder: double mu = 1;
getMu() - Method in class org.tensorflow.proto.framework.LogNormalDistribution: double mu = 1;
getMu() - Method in interface org.tensorflow.proto.framework.LogNormalDistributionOrBuilder: double mu = 1;
getMu() - Method in class org.tensorflow.proto.framework.NormalDistribution.Builder: double mu = 1;
getMu() - Method in class org.tensorflow.proto.framework.NormalDistribution: double mu = 1;
getMu() - Method in interface org.tensorflow.proto.framework.NormalDistributionOrBuilder: double mu = 1;
getMutableArgAttr() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: Deprecated.
getMutableAttr() - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder: Deprecated.
getMutableAttr() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: Deprecated.
getMutableAttr() - Method in class org.tensorflow.proto.framework.NameAttrList.Builder: Deprecated.
getMutableAttr() - Method in class org.tensorflow.proto.framework.NodeDef.Builder: Deprecated.
getMutableAttr() - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Deprecated.
getMutableCacheSize() - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder: Deprecated.
getMutableCollectionDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Deprecated.
getMutableConcreteFunctions() - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder: Deprecated.
getMutableControlRet() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: Deprecated.
getMutableDeviceCount() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Deprecated.
getMutableEnvironment() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Deprecated.
getMutableEnvVars() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder: Deprecated.
getMutableEventMetadata() - Method in class org.tensorflow.proto.profiler.XPlane.Builder: Deprecated.
getMutableExternalValues() - Method in class org.tensorflow.proto.framework.ValuesDef.Builder: Deprecated.
getMutableExtras() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Deprecated.
getMutableFeature() - Method in class org.tensorflow.proto.example.Features.Builder: Deprecated.
getMutableFeatureList() - Method in class org.tensorflow.proto.example.FeatureLists.Builder: Deprecated.
getMutableFeatureMap() - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder: Deprecated.
getMutableFeedDevices() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Deprecated.
getMutableFetchDevices() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Deprecated.
getMutableFields() - Method in class org.tensorflow.proto.framework.DictValue.Builder: Deprecated.
getMutableFunctionAliases() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: Deprecated.
getMutableInputs() - Method in class org.tensorflow.proto.framework.SignatureDef.Builder: Deprecated.
getMutableNodes() - Method in class org.tensorflow.proto.data.model.ModelProto.Builder: Deprecated.
getMutableOutputs() - Method in class org.tensorflow.proto.framework.SignatureDef.Builder: Deprecated.
getMutableParameterMap() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder: Deprecated.
getMutableResourceArgUniqueId() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: Deprecated.
getMutableRet() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: Deprecated.
getMutableSaveableObjects() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Deprecated.
getMutableSignatureDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Deprecated.
getMutableStatMetadata() - Method in class org.tensorflow.proto.profiler.XPlane.Builder: Deprecated.
getMutableTasks() - Method in class org.tensorflow.proto.distruntime.JobDef.Builder: Deprecated.
getMutableTasks() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder: Deprecated.
getMutableThreadNames() - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: Deprecated.
getMutableTraces() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder: Deprecated.
getName() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder: bytes name = 1;
getName() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata: bytes name = 1;
getName() - Method in interface org.tensorflow.proto.data.DatasetMetadata.MetadataOrBuilder: bytes name = 1;
getName() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Human-readable name of the node.
getName() - Method in class org.tensorflow.proto.data.model.ModelProto.Node: Human-readable name of the node.
getName() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder: Human-readable name of the parameter.
getName() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter: Human-readable name of the parameter.
getName() - Method in interface org.tensorflow.proto.data.model.ModelProto.Node.ParameterOrBuilder: Human-readable name of the parameter.
getName() - Method in interface org.tensorflow.proto.data.model.ModelProto.NodeOrBuilder: Human-readable name of the node.
getName() - Method in class org.tensorflow.proto.distruntime.JobDef.Builder: The name of this job.
getName() - Method in class org.tensorflow.proto.distruntime.JobDef: The name of this job.
getName() - Method in interface org.tensorflow.proto.distruntime.JobDefOrBuilder: The name of this job.
getName() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder: The name of this job.
getName() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters: The name of this job.
getName() - Method in interface org.tensorflow.proto.distruntime.JobDeviceFiltersOrBuilder: The name of this job.
getName() - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder: string name = 1;
getName() - Method in class org.tensorflow.proto.framework.ApiDef.Arg: string name = 1;
getName() - Method in interface org.tensorflow.proto.framework.ApiDef.ArgOrBuilder: string name = 1;
getName() - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder: string name = 1;
getName() - Method in class org.tensorflow.proto.framework.ApiDef.Attr: string name = 1;
getName() - Method in interface org.tensorflow.proto.framework.ApiDef.AttrOrBuilder: string name = 1;
getName() - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder: Name should be either like "CamelCaseName" or "Package.CamelCaseName".
getName() - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint: Name should be either like "CamelCaseName" or "Package.CamelCaseName".
getName() - Method in interface org.tensorflow.proto.framework.ApiDef.EndpointOrBuilder: Name should be either like "CamelCaseName" or "Package.CamelCaseName".
getName() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: string name = 1;
getName() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto: string name = 1;
getName() - Method in interface org.tensorflow.proto.framework.BoundedTensorSpecProtoOrBuilder: string name = 1;
getName() - Method in class org.tensorflow.proto.framework.CapturedTensor.Builder: Name of captured tensor
getName() - Method in class org.tensorflow.proto.framework.CapturedTensor: Name of captured tensor
getName() - Method in interface org.tensorflow.proto.framework.CapturedTensorOrBuilder: Name of captured tensor
getName() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: The name of the node.
getName() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node: The name of the node.
getName() - Method in interface org.tensorflow.proto.framework.CostGraphDef.NodeOrBuilder: The name of the node.
getName() - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: Fully specified name of the device within a cluster.
getName() - Method in class org.tensorflow.proto.framework.DeviceAttributes: Fully specified name of the device within a cluster.
getName() - Method in interface org.tensorflow.proto.framework.DeviceAttributesOrBuilder: Fully specified name of the device within a cluster.
getName() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder: string name = 1;
getName() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo: string name = 1;
getName() - Method in interface org.tensorflow.proto.framework.GraphTransferConstNodeInfoOrBuilder: string name = 1;
getName() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder: string name = 1;
getName() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo: string name = 1;
getName() - Method in interface org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfoOrBuilder: string name = 1;
getName() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder: string name = 1;
getName() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo: string name = 1;
getName() - Method in interface org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfoOrBuilder: string name = 1;
getName() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder: string name = 1;
getName() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo: string name = 1;
getName() - Method in interface org.tensorflow.proto.framework.GraphTransferNodeInfoOrBuilder: string name = 1;
getName() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder: Name of an attr from the Op.
getName() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint: Name of an attr from the Op.
getName() - Method in interface org.tensorflow.proto.framework.KernelDef.AttrConstraintOrBuilder: Name of an attr from the Op.
getName() - Method in class org.tensorflow.proto.framework.NameAttrList.Builder: string name = 1;
getName() - Method in class org.tensorflow.proto.framework.NameAttrList: string name = 1;
getName() - Method in interface org.tensorflow.proto.framework.NameAttrListOrBuilder: string name = 1;
getName() - Method in class org.tensorflow.proto.framework.NamedDevice.Builder: string name = 1;
getName() - Method in class org.tensorflow.proto.framework.NamedDevice: string name = 1;
getName() - Method in interface org.tensorflow.proto.framework.NamedDeviceOrBuilder: string name = 1;
getName() - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder: Name of the tensor.
getName() - Method in class org.tensorflow.proto.framework.NamedTensorProto: Name of the tensor.
getName() - Method in interface org.tensorflow.proto.framework.NamedTensorProtoOrBuilder: Name of the tensor.
getName() - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder: string name = 1;
getName() - Method in class org.tensorflow.proto.framework.NamedTupleValue: string name = 1;
getName() - Method in interface org.tensorflow.proto.framework.NamedTupleValueOrBuilder: string name = 1;
getName() - Method in class org.tensorflow.proto.framework.NodeDef.Builder: The name given to this operator.
getName() - Method in class org.tensorflow.proto.framework.NodeDef: The name given to this operator.
getName() - Method in interface org.tensorflow.proto.framework.NodeDefOrBuilder: The name given to this operator.
getName() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: Name for the input/output.
getName() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef: Name for the input/output.
getName() - Method in interface org.tensorflow.proto.framework.OpDef.ArgDefOrBuilder: Name for the input/output.
getName() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: A descriptive name for the argument.
getName() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef: A descriptive name for the argument.
getName() - Method in interface org.tensorflow.proto.framework.OpDef.AttrDefOrBuilder: A descriptive name for the argument.
getName() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Op names starting with an underscore are reserved for internal use.
getName() - Method in class org.tensorflow.proto.framework.OpDef: Op names starting with an underscore are reserved for internal use.
getName() - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: Op names starting with an underscore are reserved for internal use.
getName() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Unique name of this resource.
getName() - Method in class org.tensorflow.proto.framework.ResourceHandleProto: Unique name of this resource.
getName() - Method in interface org.tensorflow.proto.framework.ResourceHandleProtoOrBuilder: Unique name of this resource.
getName() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder: string name = 1;
getName() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer: string name = 1;
getName() - Method in interface org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizerOrBuilder: string name = 1;
getName() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: string name = 6;
getName() - Method in class org.tensorflow.proto.framework.SavedVariable: string name = 6;
getName() - Method in interface org.tensorflow.proto.framework.SavedVariableOrBuilder: string name = 6;
getName() - Method in class org.tensorflow.proto.framework.SessionMetadata.Builder: string name = 1;
getName() - Method in class org.tensorflow.proto.framework.SessionMetadata: string name = 1;
getName() - Method in interface org.tensorflow.proto.framework.SessionMetadataOrBuilder: string name = 1;
getName() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: For dense `Tensor`s, the name of the tensor in the graph.
getName() - Method in class org.tensorflow.proto.framework.TensorInfo: For dense `Tensor`s, the name of the tensor in the graph.
getName() - Method in interface org.tensorflow.proto.framework.TensorInfoOrBuilder: For dense `Tensor`s, the name of the tensor in the graph.
getName() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim.Builder: Optional name of the tensor dimension.
getName() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim: Optional name of the tensor dimension.
getName() - Method in interface org.tensorflow.proto.framework.TensorShapeProto.DimOrBuilder: Optional name of the tensor dimension.
getName() - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder: string name = 1;
getName() - Method in class org.tensorflow.proto.framework.TensorSpecProto: string name = 1;
getName() - Method in interface org.tensorflow.proto.framework.TensorSpecProtoOrBuilder: string name = 1;
getName() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: A name for the Tensor.
getName() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor: A name for the Tensor.
getName() - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensorOrBuilder: A name for the Tensor.
getName() - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: Name of the event.
getName() - Method in class org.tensorflow.proto.profiler.XEventMetadata: Name of the event.
getName() - Method in interface org.tensorflow.proto.profiler.XEventMetadataOrBuilder: Name of the event.
getName() - Method in class org.tensorflow.proto.profiler.XLine.Builder: Name of this XLine.
getName() - Method in class org.tensorflow.proto.profiler.XLine: Name of this XLine.
getName() - Method in interface org.tensorflow.proto.profiler.XLineOrBuilder: Name of this XLine.
getName() - Method in class org.tensorflow.proto.profiler.XPlane.Builder: Name of this line.
getName() - Method in class org.tensorflow.proto.profiler.XPlane: Name of this line.
getName() - Method in interface org.tensorflow.proto.profiler.XPlaneOrBuilder: Name of this line.
getName() - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder: Name of the stat (should be short).
getName() - Method in class org.tensorflow.proto.profiler.XStatMetadata: Name of the stat (should be short).
getName() - Method in interface org.tensorflow.proto.profiler.XStatMetadataOrBuilder: Name of the stat (should be short).
getName() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder: string name = 2;
getName() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement: string name = 2;
getName() - Method in interface org.tensorflow.proto.util.MemmappedFileSystemDirectoryElementOrBuilder: string name = 2;
getName() - Method in class org.tensorflow.proto.util.SavedSlice.Builder: Name of the tensor that this slice belongs to.
getName() - Method in class org.tensorflow.proto.util.SavedSlice: Name of the tensor that this slice belongs to.
getName() - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Name of the tensor.
getName() - Method in class org.tensorflow.proto.util.SavedSliceMeta: Name of the tensor.
getName() - Method in interface org.tensorflow.proto.util.SavedSliceMetaOrBuilder: Name of the tensor.
getName() - Method in interface org.tensorflow.proto.util.SavedSliceOrBuilder: Name of the tensor that this slice belongs to.
getName() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder: Device name.
getName() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo: Device name.
getName() - Method in interface org.tensorflow.proto.util.testlog.AvailableDeviceInfoOrBuilder: Device name.
getName() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: The name of the specific benchmark or test (e.g.
getName() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry: The name of the specific benchmark or test (e.g.
getName() - Method in interface org.tensorflow.proto.util.testlog.BenchmarkEntryOrBuilder: The name of the specific benchmark or test (e.g.
getName() - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder: Metric name
getName() - Method in class org.tensorflow.proto.util.testlog.MetricEntry: Metric name
getName() - Method in interface org.tensorflow.proto.util.testlog.MetricEntryOrBuilder: Metric name
getName() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: Benchmark target identifier.
getName() - Method in class org.tensorflow.proto.util.testlog.TestResults: Benchmark target identifier.
getName() - Method in interface org.tensorflow.proto.util.testlog.TestResultsOrBuilder: Benchmark target identifier.
getNameBytes() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Human-readable name of the node.
getNameBytes() - Method in class org.tensorflow.proto.data.model.ModelProto.Node: Human-readable name of the node.
getNameBytes() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder: Human-readable name of the parameter.
getNameBytes() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter: Human-readable name of the parameter.
getNameBytes() - Method in interface org.tensorflow.proto.data.model.ModelProto.Node.ParameterOrBuilder: Human-readable name of the parameter.
getNameBytes() - Method in interface org.tensorflow.proto.data.model.ModelProto.NodeOrBuilder: Human-readable name of the node.
getNameBytes() - Method in class org.tensorflow.proto.distruntime.JobDef.Builder: The name of this job.
getNameBytes() - Method in class org.tensorflow.proto.distruntime.JobDef: The name of this job.
getNameBytes() - Method in interface org.tensorflow.proto.distruntime.JobDefOrBuilder: The name of this job.
getNameBytes() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder: The name of this job.
getNameBytes() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters: The name of this job.
getNameBytes() - Method in interface org.tensorflow.proto.distruntime.JobDeviceFiltersOrBuilder: The name of this job.
getNameBytes() - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.framework.ApiDef.Arg: string name = 1;
getNameBytes() - Method in interface org.tensorflow.proto.framework.ApiDef.ArgOrBuilder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.framework.ApiDef.Attr: string name = 1;
getNameBytes() - Method in interface org.tensorflow.proto.framework.ApiDef.AttrOrBuilder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder: Name should be either like "CamelCaseName" or "Package.CamelCaseName".
getNameBytes() - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint: Name should be either like "CamelCaseName" or "Package.CamelCaseName".
getNameBytes() - Method in interface org.tensorflow.proto.framework.ApiDef.EndpointOrBuilder: Name should be either like "CamelCaseName" or "Package.CamelCaseName".
getNameBytes() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto: string name = 1;
getNameBytes() - Method in interface org.tensorflow.proto.framework.BoundedTensorSpecProtoOrBuilder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.framework.CapturedTensor.Builder: Name of captured tensor
getNameBytes() - Method in class org.tensorflow.proto.framework.CapturedTensor: Name of captured tensor
getNameBytes() - Method in interface org.tensorflow.proto.framework.CapturedTensorOrBuilder: Name of captured tensor
getNameBytes() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: The name of the node.
getNameBytes() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node: The name of the node.
getNameBytes() - Method in interface org.tensorflow.proto.framework.CostGraphDef.NodeOrBuilder: The name of the node.
getNameBytes() - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: Fully specified name of the device within a cluster.
getNameBytes() - Method in class org.tensorflow.proto.framework.DeviceAttributes: Fully specified name of the device within a cluster.
getNameBytes() - Method in interface org.tensorflow.proto.framework.DeviceAttributesOrBuilder: Fully specified name of the device within a cluster.
getNameBytes() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo: string name = 1;
getNameBytes() - Method in interface org.tensorflow.proto.framework.GraphTransferConstNodeInfoOrBuilder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo: string name = 1;
getNameBytes() - Method in interface org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfoOrBuilder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo: string name = 1;
getNameBytes() - Method in interface org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfoOrBuilder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo: string name = 1;
getNameBytes() - Method in interface org.tensorflow.proto.framework.GraphTransferNodeInfoOrBuilder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder: Name of an attr from the Op.
getNameBytes() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint: Name of an attr from the Op.
getNameBytes() - Method in interface org.tensorflow.proto.framework.KernelDef.AttrConstraintOrBuilder: Name of an attr from the Op.
getNameBytes() - Method in class org.tensorflow.proto.framework.NameAttrList.Builder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.framework.NameAttrList: string name = 1;
getNameBytes() - Method in interface org.tensorflow.proto.framework.NameAttrListOrBuilder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.framework.NamedDevice.Builder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.framework.NamedDevice: string name = 1;
getNameBytes() - Method in interface org.tensorflow.proto.framework.NamedDeviceOrBuilder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder: Name of the tensor.
getNameBytes() - Method in class org.tensorflow.proto.framework.NamedTensorProto: Name of the tensor.
getNameBytes() - Method in interface org.tensorflow.proto.framework.NamedTensorProtoOrBuilder: Name of the tensor.
getNameBytes() - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.framework.NamedTupleValue: string name = 1;
getNameBytes() - Method in interface org.tensorflow.proto.framework.NamedTupleValueOrBuilder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.framework.NodeDef.Builder: The name given to this operator.
getNameBytes() - Method in class org.tensorflow.proto.framework.NodeDef: The name given to this operator.
getNameBytes() - Method in interface org.tensorflow.proto.framework.NodeDefOrBuilder: The name given to this operator.
getNameBytes() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: Name for the input/output.
getNameBytes() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef: Name for the input/output.
getNameBytes() - Method in interface org.tensorflow.proto.framework.OpDef.ArgDefOrBuilder: Name for the input/output.
getNameBytes() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: A descriptive name for the argument.
getNameBytes() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef: A descriptive name for the argument.
getNameBytes() - Method in interface org.tensorflow.proto.framework.OpDef.AttrDefOrBuilder: A descriptive name for the argument.
getNameBytes() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Op names starting with an underscore are reserved for internal use.
getNameBytes() - Method in class org.tensorflow.proto.framework.OpDef: Op names starting with an underscore are reserved for internal use.
getNameBytes() - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: Op names starting with an underscore are reserved for internal use.
getNameBytes() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Unique name of this resource.
getNameBytes() - Method in class org.tensorflow.proto.framework.ResourceHandleProto: Unique name of this resource.
getNameBytes() - Method in interface org.tensorflow.proto.framework.ResourceHandleProtoOrBuilder: Unique name of this resource.
getNameBytes() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer: string name = 1;
getNameBytes() - Method in interface org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizerOrBuilder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: string name = 6;
getNameBytes() - Method in class org.tensorflow.proto.framework.SavedVariable: string name = 6;
getNameBytes() - Method in interface org.tensorflow.proto.framework.SavedVariableOrBuilder: string name = 6;
getNameBytes() - Method in class org.tensorflow.proto.framework.SessionMetadata.Builder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.framework.SessionMetadata: string name = 1;
getNameBytes() - Method in interface org.tensorflow.proto.framework.SessionMetadataOrBuilder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: For dense `Tensor`s, the name of the tensor in the graph.
getNameBytes() - Method in class org.tensorflow.proto.framework.TensorInfo: For dense `Tensor`s, the name of the tensor in the graph.
getNameBytes() - Method in interface org.tensorflow.proto.framework.TensorInfoOrBuilder: For dense `Tensor`s, the name of the tensor in the graph.
getNameBytes() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim.Builder: Optional name of the tensor dimension.
getNameBytes() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim: Optional name of the tensor dimension.
getNameBytes() - Method in interface org.tensorflow.proto.framework.TensorShapeProto.DimOrBuilder: Optional name of the tensor dimension.
getNameBytes() - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.framework.TensorSpecProto: string name = 1;
getNameBytes() - Method in interface org.tensorflow.proto.framework.TensorSpecProtoOrBuilder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: A name for the Tensor.
getNameBytes() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor: A name for the Tensor.
getNameBytes() - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensorOrBuilder: A name for the Tensor.
getNameBytes() - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: Name of the event.
getNameBytes() - Method in class org.tensorflow.proto.profiler.XEventMetadata: Name of the event.
getNameBytes() - Method in interface org.tensorflow.proto.profiler.XEventMetadataOrBuilder: Name of the event.
getNameBytes() - Method in class org.tensorflow.proto.profiler.XLine.Builder: Name of this XLine.
getNameBytes() - Method in class org.tensorflow.proto.profiler.XLine: Name of this XLine.
getNameBytes() - Method in interface org.tensorflow.proto.profiler.XLineOrBuilder: Name of this XLine.
getNameBytes() - Method in class org.tensorflow.proto.profiler.XPlane.Builder: Name of this line.
getNameBytes() - Method in class org.tensorflow.proto.profiler.XPlane: Name of this line.
getNameBytes() - Method in interface org.tensorflow.proto.profiler.XPlaneOrBuilder: Name of this line.
getNameBytes() - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder: Name of the stat (should be short).
getNameBytes() - Method in class org.tensorflow.proto.profiler.XStatMetadata: Name of the stat (should be short).
getNameBytes() - Method in interface org.tensorflow.proto.profiler.XStatMetadataOrBuilder: Name of the stat (should be short).
getNameBytes() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder: string name = 2;
getNameBytes() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement: string name = 2;
getNameBytes() - Method in interface org.tensorflow.proto.util.MemmappedFileSystemDirectoryElementOrBuilder: string name = 2;
getNameBytes() - Method in class org.tensorflow.proto.util.SavedSlice.Builder: Name of the tensor that this slice belongs to.
getNameBytes() - Method in class org.tensorflow.proto.util.SavedSlice: Name of the tensor that this slice belongs to.
getNameBytes() - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Name of the tensor.
getNameBytes() - Method in class org.tensorflow.proto.util.SavedSliceMeta: Name of the tensor.
getNameBytes() - Method in interface org.tensorflow.proto.util.SavedSliceMetaOrBuilder: Name of the tensor.
getNameBytes() - Method in interface org.tensorflow.proto.util.SavedSliceOrBuilder: Name of the tensor that this slice belongs to.
getNameBytes() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder: Device name.
getNameBytes() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo: Device name.
getNameBytes() - Method in interface org.tensorflow.proto.util.testlog.AvailableDeviceInfoOrBuilder: Device name.
getNameBytes() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: The name of the specific benchmark or test (e.g.
getNameBytes() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry: The name of the specific benchmark or test (e.g.
getNameBytes() - Method in interface org.tensorflow.proto.util.testlog.BenchmarkEntryOrBuilder: The name of the specific benchmark or test (e.g.
getNameBytes() - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder: Metric name
getNameBytes() - Method in class org.tensorflow.proto.util.testlog.MetricEntry: Metric name
getNameBytes() - Method in interface org.tensorflow.proto.util.testlog.MetricEntryOrBuilder: Metric name
getNameBytes() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: Benchmark target identifier.
getNameBytes() - Method in class org.tensorflow.proto.util.testlog.TestResults: Benchmark target identifier.
getNameBytes() - Method in interface org.tensorflow.proto.util.testlog.TestResultsOrBuilder: Benchmark target identifier.
getNamedTupleValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents Python's namedtuple.
getNamedTupleValue() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents Python's namedtuple.
getNamedTupleValue() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents Python's namedtuple.
getNamedTupleValueBuilder() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents Python's namedtuple.
getNamedTupleValueOrBuilder() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents Python's namedtuple.
getNamedTupleValueOrBuilder() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents Python's namedtuple.
getNamedTupleValueOrBuilder() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents Python's namedtuple.
getNestedContexts(int) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Contexts contained inside this context (e.g.
getNestedContexts(int) - Method in class org.tensorflow.proto.framework.CondContextDef: Contexts contained inside this context (e.g.
getNestedContexts(int) - Method in interface org.tensorflow.proto.framework.CondContextDefOrBuilder: Contexts contained inside this context (e.g.
getNestedContexts(int) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g.
getNestedContexts(int) - Method in class org.tensorflow.proto.framework.WhileContextDef: Contexts contained inside this context (e.g.
getNestedContexts(int) - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: Contexts contained inside this context (e.g.
getNestedContextsBuilder(int) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Contexts contained inside this context (e.g.
getNestedContextsBuilder(int) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g.
getNestedContextsBuilderList() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Contexts contained inside this context (e.g.
getNestedContextsBuilderList() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g.
getNestedContextsCount() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Contexts contained inside this context (e.g.
getNestedContextsCount() - Method in class org.tensorflow.proto.framework.CondContextDef: Contexts contained inside this context (e.g.
getNestedContextsCount() - Method in interface org.tensorflow.proto.framework.CondContextDefOrBuilder: Contexts contained inside this context (e.g.
getNestedContextsCount() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g.
getNestedContextsCount() - Method in class org.tensorflow.proto.framework.WhileContextDef: Contexts contained inside this context (e.g.
getNestedContextsCount() - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: Contexts contained inside this context (e.g.
getNestedContextsList() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Contexts contained inside this context (e.g.
getNestedContextsList() - Method in class org.tensorflow.proto.framework.CondContextDef: Contexts contained inside this context (e.g.
getNestedContextsList() - Method in interface org.tensorflow.proto.framework.CondContextDefOrBuilder: Contexts contained inside this context (e.g.
getNestedContextsList() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g.
getNestedContextsList() - Method in class org.tensorflow.proto.framework.WhileContextDef: Contexts contained inside this context (e.g.
getNestedContextsList() - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: Contexts contained inside this context (e.g.
getNestedContextsOrBuilder(int) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Contexts contained inside this context (e.g.
getNestedContextsOrBuilder(int) - Method in class org.tensorflow.proto.framework.CondContextDef: Contexts contained inside this context (e.g.
getNestedContextsOrBuilder(int) - Method in interface org.tensorflow.proto.framework.CondContextDefOrBuilder: Contexts contained inside this context (e.g.
getNestedContextsOrBuilder(int) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g.
getNestedContextsOrBuilder(int) - Method in class org.tensorflow.proto.framework.WhileContextDef: Contexts contained inside this context (e.g.
getNestedContextsOrBuilder(int) - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: Contexts contained inside this context (e.g.
getNestedContextsOrBuilderList() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Contexts contained inside this context (e.g.
getNestedContextsOrBuilderList() - Method in class org.tensorflow.proto.framework.CondContextDef: Contexts contained inside this context (e.g.
getNestedContextsOrBuilderList() - Method in interface org.tensorflow.proto.framework.CondContextDefOrBuilder: Contexts contained inside this context (e.g.
getNestedContextsOrBuilderList() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g.
getNestedContextsOrBuilderList() - Method in class org.tensorflow.proto.framework.WhileContextDef: Contexts contained inside this context (e.g.
getNestedContextsOrBuilderList() - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: Contexts contained inside this context (e.g.
getNode(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNode(int) - Method in class org.tensorflow.proto.framework.CostGraphDef: repeated .tensorflow.CostGraphDef.Node node = 1;
getNode(int) - Method in interface org.tensorflow.proto.framework.CostGraphDefOrBuilder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNode(int) - Method in class org.tensorflow.proto.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
getNode(int) - Method in class org.tensorflow.proto.framework.GraphDef: repeated .tensorflow.NodeDef node = 1;
getNode(int) - Method in interface org.tensorflow.proto.framework.GraphDefOrBuilder: repeated .tensorflow.NodeDef node = 1;
getNode() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: The node name (optional).
getNode() - Method in class org.tensorflow.proto.framework.OpPerformance: The node name (optional).
getNode() - Method in interface org.tensorflow.proto.framework.OpPerformanceOrBuilder: The node name (optional).
getNodeBuilder(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeBuilder(int) - Method in class org.tensorflow.proto.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
getNodeBuilderList() - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeBuilderList() - Method in class org.tensorflow.proto.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
getNodeBytes() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: The node name (optional).
getNodeBytes() - Method in class org.tensorflow.proto.framework.OpPerformance: The node name (optional).
getNodeBytes() - Method in interface org.tensorflow.proto.framework.OpPerformanceOrBuilder: The node name (optional).
getNodeClass() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Class of this node.
getNodeClass() - Method in class org.tensorflow.proto.data.model.ModelProto.Node: Class of this node.
getNodeClass() - Method in interface org.tensorflow.proto.data.model.ModelProto.NodeOrBuilder: Class of this node.
getNodeClassValue() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Class of this node.
getNodeClassValue() - Method in class org.tensorflow.proto.data.model.ModelProto.Node: Class of this node.
getNodeClassValue() - Method in interface org.tensorflow.proto.data.model.ModelProto.NodeOrBuilder: Class of this node.
getNodeCount() - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeCount() - Method in class org.tensorflow.proto.framework.CostGraphDef: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeCount() - Method in interface org.tensorflow.proto.framework.CostGraphDefOrBuilder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeCount() - Method in class org.tensorflow.proto.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
getNodeCount() - Method in class org.tensorflow.proto.framework.GraphDef: repeated .tensorflow.NodeDef node = 1;
getNodeCount() - Method in interface org.tensorflow.proto.framework.GraphDefOrBuilder: repeated .tensorflow.NodeDef node = 1;
getNodeDef(int) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDef(int) - Method in class org.tensorflow.proto.framework.FunctionDef: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDef(int) - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefBuilder(int) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefBuilderList() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefCount() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefCount() - Method in class org.tensorflow.proto.framework.FunctionDef: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefCount() - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefList() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefList() - Method in class org.tensorflow.proto.framework.FunctionDef: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefList() - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefOrBuilder(int) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefOrBuilder(int) - Method in class org.tensorflow.proto.framework.FunctionDef: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefOrBuilder(int) - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefOrBuilderList() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefOrBuilderList() - Method in class org.tensorflow.proto.framework.FunctionDef: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefOrBuilderList() - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeId() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder: int32 node_id = 2;
getNodeId() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo: int32 node_id = 2;
getNodeId() - Method in interface org.tensorflow.proto.framework.GraphTransferConstNodeInfoOrBuilder: int32 node_id = 2;
getNodeId() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder: int32 node_id = 2;
getNodeId() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo: int32 node_id = 2;
getNodeId() - Method in interface org.tensorflow.proto.framework.GraphTransferNodeInfoOrBuilder: int32 node_id = 2;
getNodeId() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput.Builder: int32 node_id = 1;
getNodeId() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput: int32 node_id = 1;
getNodeId() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder: int32 node_id = 1;
getNodeId() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo: int32 node_id = 1;
getNodeId() - Method in interface org.tensorflow.proto.framework.GraphTransferNodeInputInfoOrBuilder: int32 node_id = 1;
getNodeId() - Method in interface org.tensorflow.proto.framework.GraphTransferNodeInputOrBuilder: int32 node_id = 1;
getNodeId() - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder: int32 node_id = 1;
getNodeId() - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo: int32 node_id = 1;
getNodeId() - Method in interface org.tensorflow.proto.framework.GraphTransferNodeOutputInfoOrBuilder: int32 node_id = 1;
getNodeId() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference.Builder: An index into `TrackableObjectGraph.nodes`, indicating the object being referenced.
getNodeId() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference: An index into `TrackableObjectGraph.nodes`, indicating the object being referenced.
getNodeId() - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReferenceOrBuilder: An index into `TrackableObjectGraph.nodes`, indicating the object being referenced.
getNodeInfo(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfo(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfo(int) - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoBuilder(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoBuilderList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoCount() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoCount() - Method in class org.tensorflow.proto.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoCount() - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoList() - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoOrBuilder(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoOrBuilder(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoOrBuilder(int) - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoOrBuilderList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoOrBuilderList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoOrBuilderList() - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInput(int) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInput(int) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInput(int) - Method in interface org.tensorflow.proto.framework.GraphTransferNodeInputInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputBuilder(int) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputBuilderList() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputCount() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputCount() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputCount() - Method in interface org.tensorflow.proto.framework.GraphTransferNodeInputInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputInfo(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfo(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfo(int) - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoBuilder(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoBuilderList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoCount() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoCount() - Method in class org.tensorflow.proto.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoCount() - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoList() - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoOrBuilder(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoOrBuilder(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoOrBuilder(int) - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoOrBuilderList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoOrBuilderList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoOrBuilderList() - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputList() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputList() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputList() - Method in interface org.tensorflow.proto.framework.GraphTransferNodeInputInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputOrBuilder(int) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputOrBuilder(int) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputOrBuilder(int) - Method in interface org.tensorflow.proto.framework.GraphTransferNodeInputInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputOrBuilderList() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputOrBuilderList() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputOrBuilderList() - Method in interface org.tensorflow.proto.framework.GraphTransferNodeInputInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeList() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.NodeList node_list = 1;
getNodeList() - Method in class org.tensorflow.proto.framework.CollectionDef: .tensorflow.CollectionDef.NodeList node_list = 1;
getNodeList() - Method in interface org.tensorflow.proto.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.NodeList node_list = 1;
getNodeList() - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeList() - Method in class org.tensorflow.proto.framework.CostGraphDef: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeList() - Method in interface org.tensorflow.proto.framework.CostGraphDefOrBuilder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeList() - Method in class org.tensorflow.proto.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
getNodeList() - Method in class org.tensorflow.proto.framework.GraphDef: repeated .tensorflow.NodeDef node = 1;
getNodeList() - Method in interface org.tensorflow.proto.framework.GraphDefOrBuilder: repeated .tensorflow.NodeDef node = 1;
getNodeListBuilder() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.NodeList node_list = 1;
getNodeListOrBuilder() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.NodeList node_list = 1;
getNodeListOrBuilder() - Method in class org.tensorflow.proto.framework.CollectionDef: .tensorflow.CollectionDef.NodeList node_list = 1;
getNodeListOrBuilder() - Method in interface org.tensorflow.proto.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.NodeList node_list = 1;
getNodeName() - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: Name of the node to watch.
getNodeName() - Method in class org.tensorflow.proto.framework.DebugTensorWatch: Name of the node to watch.
getNodeName() - Method in interface org.tensorflow.proto.framework.DebugTensorWatchOrBuilder: Name of the node to watch.
getNodeName() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: TODO(tucker): Use some more compact form of node identity than the full string name.
getNodeName() - Method in class org.tensorflow.proto.framework.NodeExecStats: TODO(tucker): Use some more compact form of node identity than the full string name.
getNodeName() - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: TODO(tucker): Use some more compact form of node identity than the full string name.
getNodeName() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: This field is deprecated and will not be set.
getNodeName() - Method in class org.tensorflow.proto.framework.Summary.Value: This field is deprecated and will not be set.
getNodeName() - Method in interface org.tensorflow.proto.framework.Summary.ValueOrBuilder: This field is deprecated and will not be set.
getNodeNameBytes() - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: Name of the node to watch.
getNodeNameBytes() - Method in class org.tensorflow.proto.framework.DebugTensorWatch: Name of the node to watch.
getNodeNameBytes() - Method in interface org.tensorflow.proto.framework.DebugTensorWatchOrBuilder: Name of the node to watch.
getNodeNameBytes() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: TODO(tucker): Use some more compact form of node identity than the full string name.
getNodeNameBytes() - Method in class org.tensorflow.proto.framework.NodeExecStats: TODO(tucker): Use some more compact form of node identity than the full string name.
getNodeNameBytes() - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: TODO(tucker): Use some more compact form of node identity than the full string name.
getNodeNameBytes() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: This field is deprecated and will not be set.
getNodeNameBytes() - Method in class org.tensorflow.proto.framework.Summary.Value: This field is deprecated and will not be set.
getNodeNameBytes() - Method in interface org.tensorflow.proto.framework.Summary.ValueOrBuilder: This field is deprecated and will not be set.
getNodeOrBuilder(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeOrBuilder(int) - Method in class org.tensorflow.proto.framework.CostGraphDef: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeOrBuilder(int) - Method in interface org.tensorflow.proto.framework.CostGraphDefOrBuilder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeOrBuilder(int) - Method in class org.tensorflow.proto.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
getNodeOrBuilder(int) - Method in class org.tensorflow.proto.framework.GraphDef: repeated .tensorflow.NodeDef node = 1;
getNodeOrBuilder(int) - Method in interface org.tensorflow.proto.framework.GraphDefOrBuilder: repeated .tensorflow.NodeDef node = 1;
getNodeOrBuilderList() - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeOrBuilderList() - Method in class org.tensorflow.proto.framework.CostGraphDef: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeOrBuilderList() - Method in interface org.tensorflow.proto.framework.CostGraphDefOrBuilder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeOrBuilderList() - Method in class org.tensorflow.proto.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
getNodeOrBuilderList() - Method in class org.tensorflow.proto.framework.GraphDef: repeated .tensorflow.NodeDef node = 1;
getNodeOrBuilderList() - Method in interface org.tensorflow.proto.framework.GraphDefOrBuilder: repeated .tensorflow.NodeDef node = 1;
getNodeOutputInfo(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfo(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfo(int) - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoBuilder(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoBuilderList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoCount() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoCount() - Method in class org.tensorflow.proto.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoCount() - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoList() - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoOrBuilder(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoOrBuilder(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoOrBuilder(int) - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoOrBuilderList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoOrBuilderList() - Method in class org.tensorflow.proto.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoOrBuilderList() - Method in interface org.tensorflow.proto.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodes() - Method in class org.tensorflow.proto.data.model.ModelProto.Builder: Deprecated.
getNodes() - Method in class org.tensorflow.proto.data.model.ModelProto: Deprecated.
getNodes() - Method in interface org.tensorflow.proto.data.model.ModelProtoOrBuilder: Deprecated.
getNodes(int) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
getNodes(int) - Method in class org.tensorflow.proto.framework.SavedObjectGraph: Flattened list of objects in the object graph.
getNodes(int) - Method in interface org.tensorflow.proto.framework.SavedObjectGraphOrBuilder: Flattened list of objects in the object graph.
getNodes(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodes(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodes(int) - Method in interface org.tensorflow.proto.framework.TrackableObjectGraphOrBuilder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesBuilder(int) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
getNodesBuilder(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesBuilderList() - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
getNodesBuilderList() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesCount() - Method in class org.tensorflow.proto.data.model.ModelProto.Builder
getNodesCount() - Method in class org.tensorflow.proto.data.model.ModelProto
getNodesCount() - Method in interface org.tensorflow.proto.data.model.ModelProtoOrBuilder: Map of node IDs to nodes of this model.
getNodesCount() - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
getNodesCount() - Method in class org.tensorflow.proto.framework.SavedObjectGraph: Flattened list of objects in the object graph.
getNodesCount() - Method in interface org.tensorflow.proto.framework.SavedObjectGraphOrBuilder: Flattened list of objects in the object graph.
getNodesCount() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesCount() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesCount() - Method in interface org.tensorflow.proto.framework.TrackableObjectGraphOrBuilder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesList() - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
getNodesList() - Method in class org.tensorflow.proto.framework.SavedObjectGraph: Flattened list of objects in the object graph.
getNodesList() - Method in interface org.tensorflow.proto.framework.SavedObjectGraphOrBuilder: Flattened list of objects in the object graph.
getNodesList() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesList() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesList() - Method in interface org.tensorflow.proto.framework.TrackableObjectGraphOrBuilder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesMap() - Method in class org.tensorflow.proto.data.model.ModelProto.Builder: Map of node IDs to nodes of this model.
getNodesMap() - Method in class org.tensorflow.proto.data.model.ModelProto: Map of node IDs to nodes of this model.
getNodesMap() - Method in interface org.tensorflow.proto.data.model.ModelProtoOrBuilder: Map of node IDs to nodes of this model.
getNodesOrBuilder(int) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
getNodesOrBuilder(int) - Method in class org.tensorflow.proto.framework.SavedObjectGraph: Flattened list of objects in the object graph.
getNodesOrBuilder(int) - Method in interface org.tensorflow.proto.framework.SavedObjectGraphOrBuilder: Flattened list of objects in the object graph.
getNodesOrBuilder(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesOrBuilder(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesOrBuilder(int) - Method in interface org.tensorflow.proto.framework.TrackableObjectGraphOrBuilder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesOrBuilderList() - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
getNodesOrBuilderList() - Method in class org.tensorflow.proto.framework.SavedObjectGraph: Flattened list of objects in the object graph.
getNodesOrBuilderList() - Method in interface org.tensorflow.proto.framework.SavedObjectGraphOrBuilder: Flattened list of objects in the object graph.
getNodesOrBuilderList() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesOrBuilderList() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesOrBuilderList() - Method in interface org.tensorflow.proto.framework.TrackableObjectGraphOrBuilder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesOrDefault(long, ModelProto.Node) - Method in class org.tensorflow.proto.data.model.ModelProto.Builder: Map of node IDs to nodes of this model.
getNodesOrDefault(long, ModelProto.Node) - Method in class org.tensorflow.proto.data.model.ModelProto: Map of node IDs to nodes of this model.
getNodesOrDefault(long, ModelProto.Node) - Method in interface org.tensorflow.proto.data.model.ModelProtoOrBuilder: Map of node IDs to nodes of this model.
getNodesOrThrow(long) - Method in class org.tensorflow.proto.data.model.ModelProto.Builder: Map of node IDs to nodes of this model.
getNodesOrThrow(long) - Method in class org.tensorflow.proto.data.model.ModelProto: Map of node IDs to nodes of this model.
getNodesOrThrow(long) - Method in interface org.tensorflow.proto.data.model.ModelProtoOrBuilder: Map of node IDs to nodes of this model.
getNodeStats(int) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStats(int) - Method in class org.tensorflow.proto.framework.DeviceStepStats: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStats(int) - Method in interface org.tensorflow.proto.framework.DeviceStepStatsOrBuilder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsBuilder(int) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsBuilderList() - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsCount() - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsCount() - Method in class org.tensorflow.proto.framework.DeviceStepStats: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsCount() - Method in interface org.tensorflow.proto.framework.DeviceStepStatsOrBuilder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsList() - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsList() - Method in class org.tensorflow.proto.framework.DeviceStepStats: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsList() - Method in interface org.tensorflow.proto.framework.DeviceStepStatsOrBuilder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsOrBuilder(int) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsOrBuilder(int) - Method in class org.tensorflow.proto.framework.DeviceStepStats: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsOrBuilder(int) - Method in interface org.tensorflow.proto.framework.DeviceStepStatsOrBuilder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsOrBuilderList() - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsOrBuilderList() - Method in class org.tensorflow.proto.framework.DeviceStepStats: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsOrBuilderList() - Method in interface org.tensorflow.proto.framework.DeviceStepStatsOrBuilder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNoneValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents None.
getNoneValue() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents None.
getNoneValue() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents None.
getNoneValueBuilder() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents None.
getNoneValueOrBuilder() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents None.
getNoneValueOrBuilder() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents None.
getNoneValueOrBuilder() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents None.
getNoopElimination() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder: bool noop_elimination = 14;
getNoopElimination() - Method in class org.tensorflow.proto.data.OptimizationOptions: bool noop_elimination = 14;
getNoopElimination() - Method in interface org.tensorflow.proto.data.OptimizationOptionsOrBuilder: bool noop_elimination = 14;
getNum() - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: double num = 3;
getNum() - Method in class org.tensorflow.proto.framework.HistogramProto: double num = 3;
getNum() - Method in interface org.tensorflow.proto.framework.HistogramProtoOrBuilder: double num = 3;
getNumAllocs() - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder: int64 num_allocs = 1;
getNumAllocs() - Method in class org.tensorflow.proto.util.MemAllocatorStats: int64 num_allocs = 1;
getNumAllocs() - Method in interface org.tensorflow.proto.util.MemAllocatorStatsOrBuilder: int64 num_allocs = 1;
getNumaNode() - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder: Optional NUMA locality of device.
getNumaNode() - Method in class org.tensorflow.proto.framework.DeviceLocality: Optional NUMA locality of device.
getNumaNode() - Method in interface org.tensorflow.proto.framework.DeviceLocalityOrBuilder: Optional NUMA locality of device.
getNumber() - Method in enum org.tensorflow.proto.data.AutoShardPolicy
getNumber() - Method in enum org.tensorflow.proto.data.AutotuneOptions.OptionalCpuBudgetCase
getNumber() - Method in enum org.tensorflow.proto.data.AutotuneOptions.OptionalEnabledCase
getNumber() - Method in enum org.tensorflow.proto.data.AutotuneOptions.OptionalRamBudgetCase
getNumber() - Method in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy
getNumber() - Method in enum org.tensorflow.proto.data.DistributeOptions.OptionalNumDevicesCase
getNumber() - Method in enum org.tensorflow.proto.data.ExternalStatePolicy
getNumber() - Method in enum org.tensorflow.proto.data.model.AutotuneAlgorithm
getNumber() - Method in enum org.tensorflow.proto.data.model.NodeClass
getNumber() - Method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalApplyDefaultOptimizationsCase
getNumber() - Method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalFilterFusionCase
getNumber() - Method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalMapAndBatchFusionCase
getNumber() - Method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalMapAndFilterFusionCase
getNumber() - Method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalMapFusionCase
getNumber() - Method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalMapParallelizationCase
getNumber() - Method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalNoopEliminationCase
getNumber() - Method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalParallelBatchCase
getNumber() - Method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalShuffleAndRepeatFusionCase
getNumber() - Method in enum org.tensorflow.proto.data.Options.OptionalDeterministicCase
getNumber() - Method in enum org.tensorflow.proto.data.Options.OptionalExternalStatePolicyCase
getNumber() - Method in enum org.tensorflow.proto.data.Options.OptionalSlackCase
getNumber() - Method in enum org.tensorflow.proto.data.ThreadingOptions.OptionalMaxIntraOpParallelismCase
getNumber() - Method in enum org.tensorflow.proto.data.ThreadingOptions.OptionalPrivateThreadpoolSizeCase
getNumber() - Method in enum org.tensorflow.proto.example.Feature.KindCase
getNumber() - Method in enum org.tensorflow.proto.example.FeatureConfiguration.ConfigCase
getNumber() - Method in enum org.tensorflow.proto.framework.ApiDef.Visibility
getNumber() - Method in enum org.tensorflow.proto.framework.AttrValue.ValueCase
getNumber() - Method in enum org.tensorflow.proto.framework.Code
getNumber() - Method in enum org.tensorflow.proto.framework.CollectionDef.KindCase
getNumber() - Method in enum org.tensorflow.proto.framework.ConfigProto.Experimental.MlirBridgeRollout
getNumber() - Method in enum org.tensorflow.proto.framework.ControlFlowContextDef.CtxtCase
getNumber() - Method in enum org.tensorflow.proto.framework.DataClass
getNumber() - Method in enum org.tensorflow.proto.framework.DataType
getNumber() - Method in enum org.tensorflow.proto.framework.FullTypeDef.AttrCase
getNumber() - Method in enum org.tensorflow.proto.framework.FullTypeId
getNumber() - Method in enum org.tensorflow.proto.framework.FunctionSpec.JitCompile
getNumber() - Method in enum org.tensorflow.proto.framework.GraphTransferInfo.Destination
getNumber() - Method in enum org.tensorflow.proto.framework.OpPerformance.ExecutionTimeCase
getNumber() - Method in enum org.tensorflow.proto.framework.OptimizerOptions.GlobalJitLevel
getNumber() - Method in enum org.tensorflow.proto.framework.OptimizerOptions.Level
getNumber() - Method in enum org.tensorflow.proto.framework.RewriterConfig.CpuLayout
getNumber() - Method in enum org.tensorflow.proto.framework.RewriterConfig.MemOptType
getNumber() - Method in enum org.tensorflow.proto.framework.RewriterConfig.NumIterationsType
getNumber() - Method in enum org.tensorflow.proto.framework.RewriterConfig.Toggle
getNumber() - Method in enum org.tensorflow.proto.framework.RunOptions.TraceLevel
getNumber() - Method in enum org.tensorflow.proto.framework.SavedObject.KindCase
getNumber() - Method in enum org.tensorflow.proto.framework.StructuredValue.KindCase
getNumber() - Method in enum org.tensorflow.proto.framework.Summary.Value.ValueCase
getNumber() - Method in enum org.tensorflow.proto.framework.TensorInfo.EncodingCase
getNumber() - Method in enum org.tensorflow.proto.framework.TensorSliceProto.Extent.HasLengthCase
getNumber() - Method in enum org.tensorflow.proto.framework.TypeSpecProto.TypeSpecClass
getNumber() - Method in enum org.tensorflow.proto.framework.VariableAggregation
getNumber() - Method in enum org.tensorflow.proto.framework.VariableSynchronization
getNumber() - Method in enum org.tensorflow.proto.framework.VerifierConfig.Toggle
getNumber() - Method in enum org.tensorflow.proto.profiler.ProfileOptions.DeviceType
getNumber() - Method in enum org.tensorflow.proto.profiler.XEvent.DataCase
getNumber() - Method in enum org.tensorflow.proto.profiler.XStat.ValueCase
getNumber() - Method in enum org.tensorflow.proto.util.BundleHeaderProto.Endianness
getNumber() - Method in enum org.tensorflow.proto.util.DebugEvent.WhatCase
getNumber() - Method in enum org.tensorflow.proto.util.Event.WhatCase
getNumber() - Method in enum org.tensorflow.proto.util.LogMessage.Level: Deprecated.
getNumber() - Method in enum org.tensorflow.proto.util.SaverDef.CheckpointFormatVersion
getNumber() - Method in enum org.tensorflow.proto.util.SessionLog.SessionStatus
getNumber() - Method in enum org.tensorflow.proto.util.TensorDebugMode
getNumber() - Method in enum org.tensorflow.proto.util.testlog.CommitId.KindCase
getNumber() - Method in enum org.tensorflow.proto.util.testlog.EntryValue.KindCase
getNumber() - Method in enum org.tensorflow.proto.util.testlog.TestResults.BenchmarkType
getNumber() - Method in enum org.tensorflow.proto.util.WorkerHealth
getNumber() - Method in enum org.tensorflow.proto.util.WorkerShutdownMode
getNumberAttr() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: if specified, attr must have type "int"
getNumberAttr() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef: if specified, attr must have type "int"
getNumberAttr() - Method in interface org.tensorflow.proto.framework.OpDef.ArgDefOrBuilder: if specified, attr must have type "int"
getNumberAttrBytes() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: if specified, attr must have type "int"
getNumberAttrBytes() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef: if specified, attr must have type "int"
getNumberAttrBytes() - Method in interface org.tensorflow.proto.framework.OpDef.ArgDefOrBuilder: if specified, attr must have type "int"
getNumBytes() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder: Number of bytes in the allocation.
getNumBytes() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation: Number of bytes in the allocation.
getNumBytes() - Method in interface org.tensorflow.proto.framework.MemoryLogRawAllocationOrBuilder: Number of bytes in the allocation.
getNumChannels() - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder: Number of channels of audio.
getNumChannels() - Method in class org.tensorflow.proto.framework.Summary.Audio: Number of channels of audio.
getNumChannels() - Method in interface org.tensorflow.proto.framework.Summary.AudioOrBuilder: Number of channels of audio.
getNumChannelsPerTarget() - Method in class org.tensorflow.proto.framework.RPCOptions.Builder: Setting num_channels_per_target > 0 allows uses of multiple channels to communicate to the same target.
getNumChannelsPerTarget() - Method in class org.tensorflow.proto.framework.RPCOptions: Setting num_channels_per_target > 0 allows uses of multiple channels to communicate to the same target.
getNumChannelsPerTarget() - Method in interface org.tensorflow.proto.framework.RPCOptionsOrBuilder: Setting num_channels_per_target > 0 allows uses of multiple channels to communicate to the same target.
getNumCores() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Number of cores
getNumCores() - Method in class org.tensorflow.proto.framework.DeviceProperties: Number of cores
getNumCores() - Method in interface org.tensorflow.proto.framework.DevicePropertiesOrBuilder: Number of cores
getNumCores() - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder: int64 num_cores = 1;
getNumCores() - Method in class org.tensorflow.proto.util.testlog.CPUInfo: int64 num_cores = 1;
getNumCores() - Method in interface org.tensorflow.proto.util.testlog.CPUInfoOrBuilder: int64 num_cores = 1;
getNumCoresAllowed() - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder: int64 num_cores_allowed = 2;
getNumCoresAllowed() - Method in class org.tensorflow.proto.util.testlog.CPUInfo: int64 num_cores_allowed = 2;
getNumCoresAllowed() - Method in interface org.tensorflow.proto.util.testlog.CPUInfoOrBuilder: int64 num_cores_allowed = 2;
getNumDevices() - Method in class org.tensorflow.proto.data.DistributeOptions.Builder: int32 num_devices = 2;
getNumDevices() - Method in class org.tensorflow.proto.data.DistributeOptions: int32 num_devices = 2;
getNumDevices() - Method in interface org.tensorflow.proto.data.DistributeOptionsOrBuilder: int32 num_devices = 2;
getNumDevToDevCopyStreams() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: If > 1, the number of device-to-device copy streams to create for each GPUDevice.
getNumDevToDevCopyStreams() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental: If > 1, the number of device-to-device copy streams to create for each GPUDevice.
getNumDevToDevCopyStreams() - Method in interface org.tensorflow.proto.framework.GPUOptions.ExperimentalOrBuilder: If > 1, the number of device-to-device copy streams to create for each GPUDevice.
getNumElements() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: The number of elements in the snapshot.
getNumElements() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord: The number of elements in the snapshot.
getNumElements() - Method in interface org.tensorflow.proto.data.experimental.SnapshotMetadataRecordOrBuilder: The number of elements in the snapshot.
getNumElements() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: The number of elements produced by the node.
getNumElements() - Method in class org.tensorflow.proto.data.model.ModelProto.Node: The number of elements produced by the node.
getNumElements() - Method in interface org.tensorflow.proto.data.model.ModelProto.NodeOrBuilder: The number of elements produced by the node.
getNumFlatComponents() - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder: The number of flat tensor components required by this TypeSpec.
getNumFlatComponents() - Method in class org.tensorflow.proto.framework.TypeSpecProto: The number of flat tensor components required by this TypeSpec.
getNumFlatComponents() - Method in interface org.tensorflow.proto.framework.TypeSpecProtoOrBuilder: The number of flat tensor components required by this TypeSpec.
getNumOccurrences() - Method in class org.tensorflow.proto.profiler.XEvent.Builder: Number of occurrences of the event, if aggregated.
getNumOccurrences() - Method in class org.tensorflow.proto.profiler.XEvent: Number of occurrences of the event, if aggregated.
getNumOccurrences() - Method in interface org.tensorflow.proto.profiler.XEventOrBuilder: Number of occurrences of the event, if aggregated.
getNumOutputs() - Method in class org.tensorflow.proto.util.Execution.Builder: Number of output tensors.
getNumOutputs() - Method in class org.tensorflow.proto.util.Execution: Number of output tensors.
getNumOutputs() - Method in interface org.tensorflow.proto.util.ExecutionOrBuilder: Number of output tensors.
getNumOutputs() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Number of output tensors emitted by the op.
getNumOutputs() - Method in class org.tensorflow.proto.util.GraphOpCreation: Number of output tensors emitted by the op.
getNumOutputs() - Method in interface org.tensorflow.proto.util.GraphOpCreationOrBuilder: Number of output tensors emitted by the op.
getNumRecordsProduced() - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder: int64 num_records_produced = 3;
getNumRecordsProduced() - Method in class org.tensorflow.proto.framework.ReaderBaseState: int64 num_records_produced = 3;
getNumRecordsProduced() - Method in interface org.tensorflow.proto.framework.ReaderBaseStateOrBuilder: int64 num_records_produced = 3;
getNumRegisters() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Number of registers per core.
getNumRegisters() - Method in class org.tensorflow.proto.framework.DeviceProperties: Number of registers per core.
getNumRegisters() - Method in interface org.tensorflow.proto.framework.DevicePropertiesOrBuilder: Number of registers per core.
getNumReplicas() - Method in class org.tensorflow.proto.framework.AutoParallelOptions.Builder: int32 num_replicas = 2;
getNumReplicas() - Method in class org.tensorflow.proto.framework.AutoParallelOptions: int32 num_replicas = 2;
getNumReplicas() - Method in interface org.tensorflow.proto.framework.AutoParallelOptionsOrBuilder: int32 num_replicas = 2;
getNumShards() - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder: Number of data files in the bundle.
getNumShards() - Method in class org.tensorflow.proto.util.BundleHeaderProto: Number of data files in the bundle.
getNumShards() - Method in interface org.tensorflow.proto.util.BundleHeaderProtoOrBuilder: Number of data files in the bundle.
getNumThreads() - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto.Builder: The number of threads in the pool.
getNumThreads() - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto: The number of threads in the pool.
getNumThreads() - Method in interface org.tensorflow.proto.framework.ThreadPoolOptionProtoOrBuilder: The number of threads in the pool.
getObject(long) - Method in class org.tensorflow.internal.buffer.ByteSequenceTensorBuffer
getObjectGraphDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Extra information about the structure of functions and stateful objects.
getObjectGraphDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef: Extra information about the structure of functions and stateful objects.
getObjectGraphDef() - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: Extra information about the structure of functions and stateful objects.
getObjectGraphDefBuilder() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Extra information about the structure of functions and stateful objects.
getObjectGraphDefOrBuilder() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Extra information about the structure of functions and stateful objects.
getObjectGraphDefOrBuilder() - Method in class org.tensorflow.proto.framework.MetaGraphDef: Extra information about the structure of functions and stateful objects.
getObjectGraphDefOrBuilder() - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: Extra information about the structure of functions and stateful objects.
getObsoleteOldStyleHistogram() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: bytes obsolete_old_style_histogram = 3;
getObsoleteOldStyleHistogram() - Method in class org.tensorflow.proto.framework.Summary.Value: bytes obsolete_old_style_histogram = 3;
getObsoleteOldStyleHistogram() - Method in interface org.tensorflow.proto.framework.Summary.ValueOrBuilder: bytes obsolete_old_style_histogram = 3;
getOffset() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: int64 offset = 4;
getOffset() - Method in class org.tensorflow.proto.util.BundleEntryProto: int64 offset = 4;
getOffset() - Method in interface org.tensorflow.proto.util.BundleEntryProtoOrBuilder: int64 offset = 4;
getOffset() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder: uint64 offset = 1;
getOffset() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement: uint64 offset = 1;
getOffset() - Method in interface org.tensorflow.proto.util.MemmappedFileSystemDirectoryElementOrBuilder: uint64 offset = 1;
getOffsetPs() - Method in class org.tensorflow.proto.profiler.XEvent.Builder: Start time of the event in picoseconds, as offset from XLine.timestamp_ns().
getOffsetPs() - Method in class org.tensorflow.proto.profiler.XEvent: Start time of the event in picoseconds, as offset from XLine.timestamp_ns().
getOffsetPs() - Method in interface org.tensorflow.proto.profiler.XEventOrBuilder: Start time of the event in picoseconds, as offset from XLine.timestamp_ns().
getOp(int) - Method in class org.tensorflow.proto.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
getOp(int) - Method in class org.tensorflow.proto.framework.ApiDefs: repeated .tensorflow.ApiDef op = 1;
getOp(int) - Method in interface org.tensorflow.proto.framework.ApiDefsOrBuilder: repeated .tensorflow.ApiDef op = 1;
getOp() - Method in class org.tensorflow.proto.framework.KernelDef.Builder: Must match the name of an Op.
getOp() - Method in class org.tensorflow.proto.framework.KernelDef: Must match the name of an Op.
getOp() - Method in interface org.tensorflow.proto.framework.KernelDefOrBuilder: Must match the name of an Op.
getOp() - Method in class org.tensorflow.proto.framework.NodeDef.Builder: The operation name.
getOp() - Method in class org.tensorflow.proto.framework.NodeDef: The operation name.
getOp() - Method in interface org.tensorflow.proto.framework.NodeDefOrBuilder: The operation name.
getOp() - Method in class org.tensorflow.proto.framework.OpInfo.Builder: The operation name.
getOp() - Method in class org.tensorflow.proto.framework.OpInfo: The operation name.
getOp() - Method in interface org.tensorflow.proto.framework.OpInfoOrBuilder: The operation name.
getOp(int) - Method in class org.tensorflow.proto.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
getOp(int) - Method in class org.tensorflow.proto.framework.OpList: repeated .tensorflow.OpDef op = 1;
getOp(int) - Method in interface org.tensorflow.proto.framework.OpListOrBuilder: repeated .tensorflow.OpDef op = 1;
getOp() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: The op
getOp() - Method in class org.tensorflow.proto.framework.OpPerformance: The op
getOp() - Method in interface org.tensorflow.proto.framework.OpPerformanceOrBuilder: The op
getOpBuilder(int) - Method in class org.tensorflow.proto.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
getOpBuilder(int) - Method in class org.tensorflow.proto.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
getOpBuilder() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: The op
getOpBuilderList() - Method in class org.tensorflow.proto.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
getOpBuilderList() - Method in class org.tensorflow.proto.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
getOpBytes() - Method in class org.tensorflow.proto.framework.KernelDef.Builder: Must match the name of an Op.
getOpBytes() - Method in class org.tensorflow.proto.framework.KernelDef: Must match the name of an Op.
getOpBytes() - Method in interface org.tensorflow.proto.framework.KernelDefOrBuilder: Must match the name of an Op.
getOpBytes() - Method in class org.tensorflow.proto.framework.NodeDef.Builder: The operation name.
getOpBytes() - Method in class org.tensorflow.proto.framework.NodeDef: The operation name.
getOpBytes() - Method in interface org.tensorflow.proto.framework.NodeDefOrBuilder: The operation name.
getOpBytes() - Method in class org.tensorflow.proto.framework.OpInfo.Builder: The operation name.
getOpBytes() - Method in class org.tensorflow.proto.framework.OpInfo: The operation name.
getOpBytes() - Method in interface org.tensorflow.proto.framework.OpInfoOrBuilder: The operation name.
getOpCount() - Method in class org.tensorflow.proto.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
getOpCount() - Method in class org.tensorflow.proto.framework.ApiDefs: repeated .tensorflow.ApiDef op = 1;
getOpCount() - Method in interface org.tensorflow.proto.framework.ApiDefsOrBuilder: repeated .tensorflow.ApiDef op = 1;
getOpCount() - Method in class org.tensorflow.proto.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
getOpCount() - Method in class org.tensorflow.proto.framework.OpList: repeated .tensorflow.OpDef op = 1;
getOpCount() - Method in interface org.tensorflow.proto.framework.OpListOrBuilder: repeated .tensorflow.OpDef op = 1;
getOpDevice() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Device of the operation producing this tensor.
getOpDevice() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle: Device of the operation producing this tensor.
getOpDevice() - Method in interface org.tensorflow.proto.framework.RemoteTensorHandleOrBuilder: Device of the operation producing this tensor.
getOpDeviceBytes() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Device of the operation producing this tensor.
getOpDeviceBytes() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle: Device of the operation producing this tensor.
getOpDeviceBytes() - Method in interface org.tensorflow.proto.framework.RemoteTensorHandleOrBuilder: Device of the operation producing this tensor.
getOpEndRelMicros() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 op_end_rel_micros = 4;
getOpEndRelMicros() - Method in class org.tensorflow.proto.framework.NodeExecStats: int64 op_end_rel_micros = 4;
getOpEndRelMicros() - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: int64 op_end_rel_micros = 4;
getOpEndRelNanos() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 op_end_rel_nanos = 15;
getOpEndRelNanos() - Method in class org.tensorflow.proto.framework.NodeExecStats: int64 op_end_rel_nanos = 15;
getOpEndRelNanos() - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: int64 op_end_rel_nanos = 15;
getOperation() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder: Name of the operation making the allocation.
getOperation() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation: Name of the operation making the allocation.
getOperation() - Method in interface org.tensorflow.proto.framework.MemoryLogRawAllocationOrBuilder: Name of the operation making the allocation.
getOperation() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder: Name of the operation making the deallocation.
getOperation() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation: Name of the operation making the deallocation.
getOperation() - Method in interface org.tensorflow.proto.framework.MemoryLogRawDeallocationOrBuilder: Name of the operation making the deallocation.
getOperation() - Method in class org.tensorflow.proto.framework.SavedConstant.Builder: An Operation name for a ConstantOp in this SavedObjectGraph's MetaGraph.
getOperation() - Method in class org.tensorflow.proto.framework.SavedConstant: An Operation name for a ConstantOp in this SavedObjectGraph's MetaGraph.
getOperation() - Method in interface org.tensorflow.proto.framework.SavedConstantOrBuilder: An Operation name for a ConstantOp in this SavedObjectGraph's MetaGraph.
getOperationBytes() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder: Name of the operation making the allocation.
getOperationBytes() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation: Name of the operation making the allocation.
getOperationBytes() - Method in interface org.tensorflow.proto.framework.MemoryLogRawAllocationOrBuilder: Name of the operation making the allocation.
getOperationBytes() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder: Name of the operation making the deallocation.
getOperationBytes() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation: Name of the operation making the deallocation.
getOperationBytes() - Method in interface org.tensorflow.proto.framework.MemoryLogRawDeallocationOrBuilder: Name of the operation making the deallocation.
getOperationBytes() - Method in class org.tensorflow.proto.framework.SavedConstant.Builder: An Operation name for a ConstantOp in this SavedObjectGraph's MetaGraph.
getOperationBytes() - Method in class org.tensorflow.proto.framework.SavedConstant: An Operation name for a ConstantOp in this SavedObjectGraph's MetaGraph.
getOperationBytes() - Method in interface org.tensorflow.proto.framework.SavedConstantOrBuilder: An Operation name for a ConstantOp in this SavedObjectGraph's MetaGraph.
getOperationTimeoutInMs() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Global timeout for all blocking operations in this session.
getOperationTimeoutInMs() - Method in class org.tensorflow.proto.framework.ConfigProto: Global timeout for all blocking operations in this session.
getOperationTimeoutInMs() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: Global timeout for all blocking operations in this session.
getOpId() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: The ID of the operation that produced this tensor.
getOpId() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle: The ID of the operation that produced this tensor.
getOpId() - Method in interface org.tensorflow.proto.framework.RemoteTensorHandleOrBuilder: The ID of the operation that produced this tensor.
getOpList() - Method in class org.tensorflow.proto.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
getOpList() - Method in class org.tensorflow.proto.framework.ApiDefs: repeated .tensorflow.ApiDef op = 1;
getOpList() - Method in interface org.tensorflow.proto.framework.ApiDefsOrBuilder: repeated .tensorflow.ApiDef op = 1;
getOpList() - Method in class org.tensorflow.proto.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
getOpList() - Method in class org.tensorflow.proto.framework.OpList: repeated .tensorflow.OpDef op = 1;
getOpList() - Method in interface org.tensorflow.proto.framework.OpListOrBuilder: repeated .tensorflow.OpDef op = 1;
getOpMemory() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: .tensorflow.OpPerformance.OpMemory op_memory = 9;
getOpMemory() - Method in class org.tensorflow.proto.framework.OpPerformance: .tensorflow.OpPerformance.OpMemory op_memory = 9;
getOpMemory() - Method in interface org.tensorflow.proto.framework.OpPerformanceOrBuilder: .tensorflow.OpPerformance.OpMemory op_memory = 9;
getOpMemoryBuilder() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: .tensorflow.OpPerformance.OpMemory op_memory = 9;
getOpMemoryOrBuilder() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: .tensorflow.OpPerformance.OpMemory op_memory = 9;
getOpMemoryOrBuilder() - Method in class org.tensorflow.proto.framework.OpPerformance: .tensorflow.OpPerformance.OpMemory op_memory = 9;
getOpMemoryOrBuilder() - Method in interface org.tensorflow.proto.framework.OpPerformanceOrBuilder: .tensorflow.OpPerformance.OpMemory op_memory = 9;
getOpName() - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Name of the op (applicable only in the case of the `FULL_TENSOR` trace level).
getOpName() - Method in class org.tensorflow.proto.util.GraphExecutionTrace: Name of the op (applicable only in the case of the `FULL_TENSOR` trace level).
getOpName() - Method in interface org.tensorflow.proto.util.GraphExecutionTraceOrBuilder: Name of the op (applicable only in the case of the `FULL_TENSOR` trace level).
getOpName() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Name of the op (e.g., "Dense/MatMul_1").
getOpName() - Method in class org.tensorflow.proto.util.GraphOpCreation: Name of the op (e.g., "Dense/MatMul_1").
getOpName() - Method in interface org.tensorflow.proto.util.GraphOpCreationOrBuilder: Name of the op (e.g., "Dense/MatMul_1").
getOpName() - Method in class org.tensorflow.proto.util.MemChunk.Builder: string op_name = 5;
getOpName() - Method in class org.tensorflow.proto.util.MemChunk: string op_name = 5;
getOpName() - Method in interface org.tensorflow.proto.util.MemChunkOrBuilder: string op_name = 5;
getOpNameBytes() - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Name of the op (applicable only in the case of the `FULL_TENSOR` trace level).
getOpNameBytes() - Method in class org.tensorflow.proto.util.GraphExecutionTrace: Name of the op (applicable only in the case of the `FULL_TENSOR` trace level).
getOpNameBytes() - Method in interface org.tensorflow.proto.util.GraphExecutionTraceOrBuilder: Name of the op (applicable only in the case of the `FULL_TENSOR` trace level).
getOpNameBytes() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Name of the op (e.g., "Dense/MatMul_1").
getOpNameBytes() - Method in class org.tensorflow.proto.util.GraphOpCreation: Name of the op (e.g., "Dense/MatMul_1").
getOpNameBytes() - Method in interface org.tensorflow.proto.util.GraphOpCreationOrBuilder: Name of the op (e.g., "Dense/MatMul_1").
getOpNameBytes() - Method in class org.tensorflow.proto.util.MemChunk.Builder: string op_name = 5;
getOpNameBytes() - Method in class org.tensorflow.proto.util.MemChunk: string op_name = 5;
getOpNameBytes() - Method in interface org.tensorflow.proto.util.MemChunkOrBuilder: string op_name = 5;
getOpOrBuilder(int) - Method in class org.tensorflow.proto.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
getOpOrBuilder(int) - Method in class org.tensorflow.proto.framework.ApiDefs: repeated .tensorflow.ApiDef op = 1;
getOpOrBuilder(int) - Method in interface org.tensorflow.proto.framework.ApiDefsOrBuilder: repeated .tensorflow.ApiDef op = 1;
getOpOrBuilder(int) - Method in class org.tensorflow.proto.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
getOpOrBuilder(int) - Method in class org.tensorflow.proto.framework.OpList: repeated .tensorflow.OpDef op = 1;
getOpOrBuilder(int) - Method in interface org.tensorflow.proto.framework.OpListOrBuilder: repeated .tensorflow.OpDef op = 1;
getOpOrBuilder() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: The op
getOpOrBuilder() - Method in class org.tensorflow.proto.framework.OpPerformance: The op
getOpOrBuilder() - Method in interface org.tensorflow.proto.framework.OpPerformanceOrBuilder: The op
getOpOrBuilderList() - Method in class org.tensorflow.proto.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
getOpOrBuilderList() - Method in class org.tensorflow.proto.framework.ApiDefs: repeated .tensorflow.ApiDef op = 1;
getOpOrBuilderList() - Method in interface org.tensorflow.proto.framework.ApiDefsOrBuilder: repeated .tensorflow.ApiDef op = 1;
getOpOrBuilderList() - Method in class org.tensorflow.proto.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
getOpOrBuilderList() - Method in class org.tensorflow.proto.framework.OpList: repeated .tensorflow.OpDef op = 1;
getOpOrBuilderList() - Method in interface org.tensorflow.proto.framework.OpListOrBuilder: repeated .tensorflow.OpDef op = 1;
getOpPerformance(int) - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformance(int) - Method in class org.tensorflow.proto.framework.OpPerformanceList: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformance(int) - Method in interface org.tensorflow.proto.framework.OpPerformanceListOrBuilder: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformanceBuilder(int) - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformanceBuilderList() - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformanceCount() - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformanceCount() - Method in class org.tensorflow.proto.framework.OpPerformanceList: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformanceCount() - Method in interface org.tensorflow.proto.framework.OpPerformanceListOrBuilder: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformanceList() - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformanceList() - Method in class org.tensorflow.proto.framework.OpPerformanceList: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformanceList() - Method in interface org.tensorflow.proto.framework.OpPerformanceListOrBuilder: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformanceOrBuilder(int) - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformanceOrBuilder(int) - Method in class org.tensorflow.proto.framework.OpPerformanceList: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformanceOrBuilder(int) - Method in interface org.tensorflow.proto.framework.OpPerformanceListOrBuilder: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformanceOrBuilderList() - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformanceOrBuilderList() - Method in class org.tensorflow.proto.framework.OpPerformanceList: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformanceOrBuilderList() - Method in interface org.tensorflow.proto.framework.OpPerformanceListOrBuilder: repeated .tensorflow.OpPerformance op_performance = 1;
getOpStartRelMicros() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 op_start_rel_micros = 3;
getOpStartRelMicros() - Method in class org.tensorflow.proto.framework.NodeExecStats: int64 op_start_rel_micros = 3;
getOpStartRelMicros() - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: int64 op_start_rel_micros = 3;
getOpStartRelNanos() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 op_start_rel_nanos = 14;
getOpStartRelNanos() - Method in class org.tensorflow.proto.framework.NodeExecStats: int64 op_start_rel_nanos = 14;
getOpStartRelNanos() - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: int64 op_start_rel_nanos = 14;
getOptimizationOptions() - Method in class org.tensorflow.proto.data.Options.Builder: The optimization options associated with the dataset.
getOptimizationOptions() - Method in class org.tensorflow.proto.data.Options: The optimization options associated with the dataset.
getOptimizationOptions() - Method in interface org.tensorflow.proto.data.OptionsOrBuilder: The optimization options associated with the dataset.
getOptimizationOptionsBuilder() - Method in class org.tensorflow.proto.data.Options.Builder: The optimization options associated with the dataset.
getOptimizationOptionsOrBuilder() - Method in class org.tensorflow.proto.data.Options.Builder: The optimization options associated with the dataset.
getOptimizationOptionsOrBuilder() - Method in class org.tensorflow.proto.data.Options: The optimization options associated with the dataset.
getOptimizationOptionsOrBuilder() - Method in interface org.tensorflow.proto.data.OptionsOrBuilder: The optimization options associated with the dataset.
getOptimizationParams() - Method in class org.tensorflow.proto.data.model.ModelProto.Builder: .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
getOptimizationParams() - Method in class org.tensorflow.proto.data.model.ModelProto: .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
getOptimizationParams() - Method in interface org.tensorflow.proto.data.model.ModelProtoOrBuilder: .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
getOptimizationParamsBuilder() - Method in class org.tensorflow.proto.data.model.ModelProto.Builder: .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
getOptimizationParamsOrBuilder() - Method in class org.tensorflow.proto.data.model.ModelProto.Builder: .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
getOptimizationParamsOrBuilder() - Method in class org.tensorflow.proto.data.model.ModelProto: .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
getOptimizationParamsOrBuilder() - Method in interface org.tensorflow.proto.data.model.ModelProtoOrBuilder: .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
getOptimizeForStaticGraph() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: If true, the session may treat the graph as being static for optimization purposes.
getOptimizeForStaticGraph() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental: If true, the session may treat the graph as being static for optimization purposes.
getOptimizeForStaticGraph() - Method in interface org.tensorflow.proto.framework.ConfigProto.ExperimentalOrBuilder: If true, the session may treat the graph as being static for optimization purposes.
getOptimizerOptions() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: Options controlling how graph is optimized.
getOptimizerOptions() - Method in class org.tensorflow.proto.framework.GraphOptions: Options controlling how graph is optimized.
getOptimizerOptions() - Method in interface org.tensorflow.proto.framework.GraphOptionsOrBuilder: Options controlling how graph is optimized.
getOptimizerOptionsBuilder() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: Options controlling how graph is optimized.
getOptimizerOptionsOrBuilder() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: Options controlling how graph is optimized.
getOptimizerOptionsOrBuilder() - Method in class org.tensorflow.proto.framework.GraphOptions: Options controlling how graph is optimized.
getOptimizerOptionsOrBuilder() - Method in interface org.tensorflow.proto.framework.GraphOptionsOrBuilder: Options controlling how graph is optimized.
getOptimizers(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizers(int) - Method in class org.tensorflow.proto.framework.RewriterConfig: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizers(int) - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizersBytes(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizersBytes(int) - Method in class org.tensorflow.proto.framework.RewriterConfig: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizersBytes(int) - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizersCount() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizersCount() - Method in class org.tensorflow.proto.framework.RewriterConfig: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizersCount() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizersList() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizersList() - Method in class org.tensorflow.proto.framework.RewriterConfig: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizersList() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptionalApplyDefaultOptimizationsCase() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
getOptionalApplyDefaultOptimizationsCase() - Method in class org.tensorflow.proto.data.OptimizationOptions
getOptionalApplyDefaultOptimizationsCase() - Method in interface org.tensorflow.proto.data.OptimizationOptionsOrBuilder
getOptionalCpuBudgetCase() - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder
getOptionalCpuBudgetCase() - Method in class org.tensorflow.proto.data.AutotuneOptions
getOptionalCpuBudgetCase() - Method in interface org.tensorflow.proto.data.AutotuneOptionsOrBuilder
getOptionalDeterministicCase() - Method in class org.tensorflow.proto.data.Options.Builder
getOptionalDeterministicCase() - Method in class org.tensorflow.proto.data.Options
getOptionalDeterministicCase() - Method in interface org.tensorflow.proto.data.OptionsOrBuilder
getOptionalEnabledCase() - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder
getOptionalEnabledCase() - Method in class org.tensorflow.proto.data.AutotuneOptions
getOptionalEnabledCase() - Method in interface org.tensorflow.proto.data.AutotuneOptionsOrBuilder
getOptionalExternalStatePolicyCase() - Method in class org.tensorflow.proto.data.Options.Builder
getOptionalExternalStatePolicyCase() - Method in class org.tensorflow.proto.data.Options
getOptionalExternalStatePolicyCase() - Method in interface org.tensorflow.proto.data.OptionsOrBuilder
getOptionalFilterFusionCase() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
getOptionalFilterFusionCase() - Method in class org.tensorflow.proto.data.OptimizationOptions
getOptionalFilterFusionCase() - Method in interface org.tensorflow.proto.data.OptimizationOptionsOrBuilder
getOptionalMapAndBatchFusionCase() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
getOptionalMapAndBatchFusionCase() - Method in class org.tensorflow.proto.data.OptimizationOptions
getOptionalMapAndBatchFusionCase() - Method in interface org.tensorflow.proto.data.OptimizationOptionsOrBuilder
getOptionalMapAndFilterFusionCase() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
getOptionalMapAndFilterFusionCase() - Method in class org.tensorflow.proto.data.OptimizationOptions
getOptionalMapAndFilterFusionCase() - Method in interface org.tensorflow.proto.data.OptimizationOptionsOrBuilder
getOptionalMapFusionCase() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
getOptionalMapFusionCase() - Method in class org.tensorflow.proto.data.OptimizationOptions
getOptionalMapFusionCase() - Method in interface org.tensorflow.proto.data.OptimizationOptionsOrBuilder
getOptionalMapParallelizationCase() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
getOptionalMapParallelizationCase() - Method in class org.tensorflow.proto.data.OptimizationOptions
getOptionalMapParallelizationCase() - Method in interface org.tensorflow.proto.data.OptimizationOptionsOrBuilder
getOptionalMaxIntraOpParallelismCase() - Method in class org.tensorflow.proto.data.ThreadingOptions.Builder
getOptionalMaxIntraOpParallelismCase() - Method in class org.tensorflow.proto.data.ThreadingOptions
getOptionalMaxIntraOpParallelismCase() - Method in interface org.tensorflow.proto.data.ThreadingOptionsOrBuilder
getOptionalNoopEliminationCase() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
getOptionalNoopEliminationCase() - Method in class org.tensorflow.proto.data.OptimizationOptions
getOptionalNoopEliminationCase() - Method in interface org.tensorflow.proto.data.OptimizationOptionsOrBuilder
getOptionalNumDevicesCase() - Method in class org.tensorflow.proto.data.DistributeOptions.Builder
getOptionalNumDevicesCase() - Method in class org.tensorflow.proto.data.DistributeOptions
getOptionalNumDevicesCase() - Method in interface org.tensorflow.proto.data.DistributeOptionsOrBuilder
getOptionalParallelBatchCase() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
getOptionalParallelBatchCase() - Method in class org.tensorflow.proto.data.OptimizationOptions
getOptionalParallelBatchCase() - Method in interface org.tensorflow.proto.data.OptimizationOptionsOrBuilder
getOptionalPrivateThreadpoolSizeCase() - Method in class org.tensorflow.proto.data.ThreadingOptions.Builder
getOptionalPrivateThreadpoolSizeCase() - Method in class org.tensorflow.proto.data.ThreadingOptions
getOptionalPrivateThreadpoolSizeCase() - Method in interface org.tensorflow.proto.data.ThreadingOptionsOrBuilder
getOptionalRamBudgetCase() - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder
getOptionalRamBudgetCase() - Method in class org.tensorflow.proto.data.AutotuneOptions
getOptionalRamBudgetCase() - Method in interface org.tensorflow.proto.data.AutotuneOptionsOrBuilder
getOptionalRestore() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: Whether checkpoints should be considered as matching even without this value restored.
getOptionalRestore() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor: Whether checkpoints should be considered as matching even without this value restored.
getOptionalRestore() - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensorOrBuilder: Whether checkpoints should be considered as matching even without this value restored.
getOptionalShuffleAndRepeatFusionCase() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
getOptionalShuffleAndRepeatFusionCase() - Method in class org.tensorflow.proto.data.OptimizationOptions
getOptionalShuffleAndRepeatFusionCase() - Method in interface org.tensorflow.proto.data.OptimizationOptionsOrBuilder
getOptionalSlackCase() - Method in class org.tensorflow.proto.data.Options.Builder
getOptionalSlackCase() - Method in class org.tensorflow.proto.data.Options
getOptionalSlackCase() - Method in interface org.tensorflow.proto.data.OptionsOrBuilder
GetOptions - Class in org.tensorflow.op.core: Returns the tf.data.Options attached to input_dataset.
GetOptions(Operation) - Constructor for class org.tensorflow.op.core.GetOptions
GetOptions.Inputs - Class in org.tensorflow.op.core
getOptLevel() - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder: Overall optimization level.
getOptLevel() - Method in class org.tensorflow.proto.framework.OptimizerOptions: Overall optimization level.
getOptLevel() - Method in interface org.tensorflow.proto.framework.OptimizerOptionsOrBuilder: Overall optimization level.
getOptLevelValue() - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder: Overall optimization level.
getOptLevelValue() - Method in class org.tensorflow.proto.framework.OptimizerOptions: Overall optimization level.
getOptLevelValue() - Method in interface org.tensorflow.proto.framework.OptimizerOptionsOrBuilder: Overall optimization level.
getOpts(int) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder: Bazel compilation options, if known
getOpts(int) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration: Bazel compilation options, if known
getOpts(int) - Method in interface org.tensorflow.proto.util.testlog.BuildConfigurationOrBuilder: Bazel compilation options, if known
getOptsBytes(int) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder: Bazel compilation options, if known
getOptsBytes(int) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration: Bazel compilation options, if known
getOptsBytes(int) - Method in interface org.tensorflow.proto.util.testlog.BuildConfigurationOrBuilder: Bazel compilation options, if known
getOptsCount() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder: Bazel compilation options, if known
getOptsCount() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration: Bazel compilation options, if known
getOptsCount() - Method in interface org.tensorflow.proto.util.testlog.BuildConfigurationOrBuilder: Bazel compilation options, if known
getOptsList() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder: Bazel compilation options, if known
getOptsList() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration: Bazel compilation options, if known
getOptsList() - Method in interface org.tensorflow.proto.util.testlog.BuildConfigurationOrBuilder: Bazel compilation options, if known
getOpType() - Method in class org.tensorflow.proto.util.Execution.Builder: Op type (e.g., "MatMul").
getOpType() - Method in class org.tensorflow.proto.util.Execution: Op type (e.g., "MatMul").
getOpType() - Method in interface org.tensorflow.proto.util.ExecutionOrBuilder: Op type (e.g., "MatMul").
getOpType() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Type of the op (e.g., "MatMul").
getOpType() - Method in class org.tensorflow.proto.util.GraphOpCreation: Type of the op (e.g., "MatMul").
getOpType() - Method in interface org.tensorflow.proto.util.GraphOpCreationOrBuilder: Type of the op (e.g., "MatMul").
getOpTypeBytes() - Method in class org.tensorflow.proto.util.Execution.Builder: Op type (e.g., "MatMul").
getOpTypeBytes() - Method in class org.tensorflow.proto.util.Execution: Op type (e.g., "MatMul").
getOpTypeBytes() - Method in interface org.tensorflow.proto.util.ExecutionOrBuilder: Op type (e.g., "MatMul").
getOpTypeBytes() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Type of the op (e.g., "MatMul").
getOpTypeBytes() - Method in class org.tensorflow.proto.util.GraphOpCreation: Type of the op (e.g., "MatMul").
getOpTypeBytes() - Method in interface org.tensorflow.proto.util.GraphOpCreationOrBuilder: Type of the op (e.g., "MatMul").
getOriginalFuncNames(int) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder: This is intended to store the list of names of the functions from the original graph that this node was derived.
getOriginalFuncNames(int) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo: This is intended to store the list of names of the functions from the original graph that this node was derived.
getOriginalFuncNames(int) - Method in interface org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfoOrBuilder: This is intended to store the list of names of the functions from the original graph that this node was derived.
getOriginalFuncNamesBytes(int) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder: This is intended to store the list of names of the functions from the original graph that this node was derived.
getOriginalFuncNamesBytes(int) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo: This is intended to store the list of names of the functions from the original graph that this node was derived.
getOriginalFuncNamesBytes(int) - Method in interface org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfoOrBuilder: This is intended to store the list of names of the functions from the original graph that this node was derived.
getOriginalFuncNamesCount() - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder: This is intended to store the list of names of the functions from the original graph that this node was derived.
getOriginalFuncNamesCount() - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo: This is intended to store the list of names of the functions from the original graph that this node was derived.
getOriginalFuncNamesCount() - Method in interface org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfoOrBuilder: This is intended to store the list of names of the functions from the original graph that this node was derived.
getOriginalFuncNamesList() - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder: This is intended to store the list of names of the functions from the original graph that this node was derived.
getOriginalFuncNamesList() - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo: This is intended to store the list of names of the functions from the original graph that this node was derived.
getOriginalFuncNamesList() - Method in interface org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfoOrBuilder: This is intended to store the list of names of the functions from the original graph that this node was derived.
getOriginalGraphDef() - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: Original (uninstrumented) GraphDef (if available).
getOriginalGraphDef() - Method in class org.tensorflow.proto.util.DebuggedGraph: Original (uninstrumented) GraphDef (if available).
getOriginalGraphDef() - Method in interface org.tensorflow.proto.util.DebuggedGraphOrBuilder: Original (uninstrumented) GraphDef (if available).
getOriginalNodeNames(int) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder: Opaque string inserted into error messages created by the runtime.
getOriginalNodeNames(int) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo: Opaque string inserted into error messages created by the runtime.
getOriginalNodeNames(int) - Method in interface org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfoOrBuilder: Opaque string inserted into error messages created by the runtime.
getOriginalNodeNamesBytes(int) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder: Opaque string inserted into error messages created by the runtime.
getOriginalNodeNamesBytes(int) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo: Opaque string inserted into error messages created by the runtime.
getOriginalNodeNamesBytes(int) - Method in interface org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfoOrBuilder: Opaque string inserted into error messages created by the runtime.
getOriginalNodeNamesCount() - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder: Opaque string inserted into error messages created by the runtime.
getOriginalNodeNamesCount() - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo: Opaque string inserted into error messages created by the runtime.
getOriginalNodeNamesCount() - Method in interface org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfoOrBuilder: Opaque string inserted into error messages created by the runtime.
getOriginalNodeNamesList() - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder: Opaque string inserted into error messages created by the runtime.
getOriginalNodeNamesList() - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo: Opaque string inserted into error messages created by the runtime.
getOriginalNodeNamesList() - Method in interface org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfoOrBuilder: Opaque string inserted into error messages created by the runtime.
getOriginalVariableNodeId() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder: An index into `TrackableObjectGraph.nodes`, indicating the variable object this slot was created for.
getOriginalVariableNodeId() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference: An index into `TrackableObjectGraph.nodes`, indicating the variable object this slot was created for.
getOriginalVariableNodeId() - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReferenceOrBuilder: An index into `TrackableObjectGraph.nodes`, indicating the variable object this slot was created for.
getOutArg(int) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArg(int) - Method in class org.tensorflow.proto.framework.ApiDef: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArg(int) - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgBuilder(int) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgBuilderList() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgCount() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgCount() - Method in class org.tensorflow.proto.framework.ApiDef: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgCount() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgList() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgList() - Method in class org.tensorflow.proto.framework.ApiDef: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgList() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgOrBuilder(int) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgOrBuilder(int) - Method in class org.tensorflow.proto.framework.ApiDef: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgOrBuilder(int) - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgOrBuilderList() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgOrBuilderList() - Method in class org.tensorflow.proto.framework.ApiDef: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgOrBuilderList() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOuterContextId() - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: IDs of the immediate enclosing context (graph), if any.
getOuterContextId() - Method in class org.tensorflow.proto.util.DebuggedGraph: IDs of the immediate enclosing context (graph), if any.
getOuterContextId() - Method in interface org.tensorflow.proto.util.DebuggedGraphOrBuilder: IDs of the immediate enclosing context (graph), if any.
getOuterContextIdBytes() - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: IDs of the immediate enclosing context (graph), if any.
getOuterContextIdBytes() - Method in class org.tensorflow.proto.util.DebuggedGraph: IDs of the immediate enclosing context (graph), if any.
getOuterContextIdBytes() - Method in interface org.tensorflow.proto.util.DebuggedGraphOrBuilder: IDs of the immediate enclosing context (graph), if any.
getOutput() - Method in class org.tensorflow.proto.data.model.ModelProto.Builder: ID of the output node of this model.
getOutput() - Method in class org.tensorflow.proto.data.model.ModelProto: ID of the output node of this model.
getOutput() - Method in interface org.tensorflow.proto.data.model.ModelProtoOrBuilder: ID of the output node of this model.
getOutput(int) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
getOutput(int) - Method in class org.tensorflow.proto.framework.NodeExecStats: repeated .tensorflow.NodeOutput output = 7;
getOutput(int) - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: repeated .tensorflow.NodeOutput output = 7;
getOutputArg(int) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the output(s).
getOutputArg(int) - Method in class org.tensorflow.proto.framework.OpDef: Description of the output(s).
getOutputArg(int) - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: Description of the output(s).
getOutputArgBuilder(int) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the output(s).
getOutputArgBuilderList() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the output(s).
getOutputArgCount() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the output(s).
getOutputArgCount() - Method in class org.tensorflow.proto.framework.OpDef: Description of the output(s).
getOutputArgCount() - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: Description of the output(s).
getOutputArgList() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the output(s).
getOutputArgList() - Method in class org.tensorflow.proto.framework.OpDef: Description of the output(s).
getOutputArgList() - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: Description of the output(s).
getOutputArgOrBuilder(int) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the output(s).
getOutputArgOrBuilder(int) - Method in class org.tensorflow.proto.framework.OpDef: Description of the output(s).
getOutputArgOrBuilder(int) - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: Description of the output(s).
getOutputArgOrBuilderList() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the output(s).
getOutputArgOrBuilderList() - Method in class org.tensorflow.proto.framework.OpDef: Description of the output(s).
getOutputArgOrBuilderList() - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: Description of the output(s).
getOutputBuilder(int) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
getOutputBuilderList() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
getOutputCount() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder: int32 output_count = 7;
getOutputCount() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo: int32 output_count = 7;
getOutputCount() - Method in interface org.tensorflow.proto.framework.GraphTransferNodeInfoOrBuilder: int32 output_count = 7;
getOutputCount() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
getOutputCount() - Method in class org.tensorflow.proto.framework.NodeExecStats: repeated .tensorflow.NodeOutput output = 7;
getOutputCount() - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: repeated .tensorflow.NodeOutput output = 7;
getOutputInfo(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfo(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfo(int) - Method in interface org.tensorflow.proto.framework.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoBuilder(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoBuilderList() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoCount() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoCount() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoCount() - Method in interface org.tensorflow.proto.framework.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoList() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoList() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoList() - Method in interface org.tensorflow.proto.framework.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoOrBuilder(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoOrBuilder(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoOrBuilder(int) - Method in interface org.tensorflow.proto.framework.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoOrBuilderList() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoOrBuilderList() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoOrBuilderList() - Method in interface org.tensorflow.proto.framework.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputList() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
getOutputList() - Method in class org.tensorflow.proto.framework.NodeExecStats: repeated .tensorflow.NodeOutput output = 7;
getOutputList() - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: repeated .tensorflow.NodeOutput output = 7;
getOutputMemory(int) - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder: The output information may have memory usage and output shapes.
getOutputMemory(int) - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory: The output information may have memory usage and output shapes.
getOutputMemory(int) - Method in interface org.tensorflow.proto.framework.OpPerformance.OpMemoryOrBuilder: The output information may have memory usage and output shapes.
getOutputMemoryCount() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder: The output information may have memory usage and output shapes.
getOutputMemoryCount() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory: The output information may have memory usage and output shapes.
getOutputMemoryCount() - Method in interface org.tensorflow.proto.framework.OpPerformance.OpMemoryOrBuilder: The output information may have memory usage and output shapes.
getOutputMemoryList() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder: The output information may have memory usage and output shapes.
getOutputMemoryList() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory: The output information may have memory usage and output shapes.
getOutputMemoryList() - Method in interface org.tensorflow.proto.framework.OpPerformance.OpMemoryOrBuilder: The output information may have memory usage and output shapes.
getOutputNum() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: The index into the outputs of the operation that produced this tensor.
getOutputNum() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle: The index into the outputs of the operation that produced this tensor.
getOutputNum() - Method in interface org.tensorflow.proto.framework.RemoteTensorHandleOrBuilder: The index into the outputs of the operation that produced this tensor.
getOutputOrBuilder(int) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
getOutputOrBuilder(int) - Method in class org.tensorflow.proto.framework.NodeExecStats: repeated .tensorflow.NodeOutput output = 7;
getOutputOrBuilder(int) - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: repeated .tensorflow.NodeOutput output = 7;
getOutputOrBuilderList() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
getOutputOrBuilderList() - Method in class org.tensorflow.proto.framework.NodeExecStats: repeated .tensorflow.NodeOutput output = 7;
getOutputOrBuilderList() - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: repeated .tensorflow.NodeOutput output = 7;
getOutputPartitionGraphs() - Method in class org.tensorflow.proto.framework.RunOptions.Builder: Whether the partition graph(s) executed by the executor(s) should be outputted via RunMetadata.
getOutputPartitionGraphs() - Method in class org.tensorflow.proto.framework.RunOptions: Whether the partition graph(s) executed by the executor(s) should be outputted via RunMetadata.
getOutputPartitionGraphs() - Method in interface org.tensorflow.proto.framework.RunOptionsOrBuilder: Whether the partition graph(s) executed by the executor(s) should be outputted via RunMetadata.
getOutputPort() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput.Builder: int32 output_port = 2;
getOutputPort() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput: int32 output_port = 2;
getOutputPort() - Method in interface org.tensorflow.proto.framework.GraphTransferNodeInputOrBuilder: int32 output_port = 2;
getOutputs() - Method in class org.tensorflow.op.RawOpInputs: The outputs of this operation.
getOutputs(int) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Optional description of the op outputs
getOutputs(int) - Method in class org.tensorflow.proto.framework.OpInfo: Optional description of the op outputs
getOutputs(int) - Method in interface org.tensorflow.proto.framework.OpInfoOrBuilder: Optional description of the op outputs
getOutputs() - Method in class org.tensorflow.proto.framework.SignatureDef.Builder: Deprecated.
getOutputs() - Method in class org.tensorflow.proto.framework.SignatureDef: Deprecated.
getOutputs() - Method in interface org.tensorflow.proto.framework.SignatureDefOrBuilder: Deprecated.
getOutputs() - Method in class org.tensorflow.Signature: Returns the names of the outputs in this signature mapped to their expected data type, shape, and operand name
getOutputsBuilder(int) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Optional description of the op outputs
getOutputsBuilderList() - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Optional description of the op outputs
getOutputsCount() - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Optional description of the op outputs
getOutputsCount() - Method in class org.tensorflow.proto.framework.OpInfo: Optional description of the op outputs
getOutputsCount() - Method in interface org.tensorflow.proto.framework.OpInfoOrBuilder: Optional description of the op outputs
getOutputsCount() - Method in class org.tensorflow.proto.framework.SignatureDef.Builder
getOutputsCount() - Method in class org.tensorflow.proto.framework.SignatureDef
getOutputsCount() - Method in interface org.tensorflow.proto.framework.SignatureDefOrBuilder: Named output parameters.
getOutputSignature() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder: Output that was the return value of this function after replacing all Tensors with TensorSpecs.
getOutputSignature() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction: Output that was the return value of this function after replacing all Tensors with TensorSpecs.
getOutputSignature() - Method in interface org.tensorflow.proto.framework.SavedConcreteFunctionOrBuilder: Output that was the return value of this function after replacing all Tensors with TensorSpecs.
getOutputSignatureBuilder() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder: Output that was the return value of this function after replacing all Tensors with TensorSpecs.
getOutputSignatureOrBuilder() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder: Output that was the return value of this function after replacing all Tensors with TensorSpecs.
getOutputSignatureOrBuilder() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction: Output that was the return value of this function after replacing all Tensors with TensorSpecs.
getOutputSignatureOrBuilder() - Method in interface org.tensorflow.proto.framework.SavedConcreteFunctionOrBuilder: Output that was the return value of this function after replacing all Tensors with TensorSpecs.
getOutputsList() - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Optional description of the op outputs
getOutputsList() - Method in class org.tensorflow.proto.framework.OpInfo: Optional description of the op outputs
getOutputsList() - Method in interface org.tensorflow.proto.framework.OpInfoOrBuilder: Optional description of the op outputs
getOutputSlot() - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: Output slot to watch.
getOutputSlot() - Method in class org.tensorflow.proto.framework.DebugTensorWatch: Output slot to watch.
getOutputSlot() - Method in interface org.tensorflow.proto.framework.DebugTensorWatchOrBuilder: Output slot to watch.
getOutputSlot() - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Output slot of the tensor (applicable only in the case of the `FULL_TENSOR` trace level).
getOutputSlot() - Method in class org.tensorflow.proto.util.GraphExecutionTrace: Output slot of the tensor (applicable only in the case of the `FULL_TENSOR` trace level).
getOutputSlot() - Method in interface org.tensorflow.proto.util.GraphExecutionTraceOrBuilder: Output slot of the tensor (applicable only in the case of the `FULL_TENSOR` trace level).
getOutputsMap() - Method in class org.tensorflow.proto.framework.SignatureDef.Builder: Named output parameters.
getOutputsMap() - Method in class org.tensorflow.proto.framework.SignatureDef: Named output parameters.
getOutputsMap() - Method in interface org.tensorflow.proto.framework.SignatureDefOrBuilder: Named output parameters.
getOutputsOrBuilder(int) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Optional description of the op outputs
getOutputsOrBuilder(int) - Method in class org.tensorflow.proto.framework.OpInfo: Optional description of the op outputs
getOutputsOrBuilder(int) - Method in interface org.tensorflow.proto.framework.OpInfoOrBuilder: Optional description of the op outputs
getOutputsOrBuilderList() - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Optional description of the op outputs
getOutputsOrBuilderList() - Method in class org.tensorflow.proto.framework.OpInfo: Optional description of the op outputs
getOutputsOrBuilderList() - Method in interface org.tensorflow.proto.framework.OpInfoOrBuilder: Optional description of the op outputs
getOutputsOrDefault(String, TensorInfo) - Method in class org.tensorflow.proto.framework.SignatureDef.Builder: Named output parameters.
getOutputsOrDefault(String, TensorInfo) - Method in class org.tensorflow.proto.framework.SignatureDef: Named output parameters.
getOutputsOrDefault(String, TensorInfo) - Method in interface org.tensorflow.proto.framework.SignatureDefOrBuilder: Named output parameters.
getOutputsOrThrow(String) - Method in class org.tensorflow.proto.framework.SignatureDef.Builder: Named output parameters.
getOutputsOrThrow(String) - Method in class org.tensorflow.proto.framework.SignatureDef: Named output parameters.
getOutputsOrThrow(String) - Method in interface org.tensorflow.proto.framework.SignatureDefOrBuilder: Named output parameters.
getOutputTensorDeviceIds(int) - Method in class org.tensorflow.proto.util.Execution.Builder: Debugged-generated IDs of the devices on which the output tensors reside.
getOutputTensorDeviceIds(int) - Method in class org.tensorflow.proto.util.Execution: Debugged-generated IDs of the devices on which the output tensors reside.
getOutputTensorDeviceIds(int) - Method in interface org.tensorflow.proto.util.ExecutionOrBuilder: Debugged-generated IDs of the devices on which the output tensors reside.
getOutputTensorDeviceIdsCount() - Method in class org.tensorflow.proto.util.Execution.Builder: Debugged-generated IDs of the devices on which the output tensors reside.
getOutputTensorDeviceIdsCount() - Method in class org.tensorflow.proto.util.Execution: Debugged-generated IDs of the devices on which the output tensors reside.
getOutputTensorDeviceIdsCount() - Method in interface org.tensorflow.proto.util.ExecutionOrBuilder: Debugged-generated IDs of the devices on which the output tensors reside.
getOutputTensorDeviceIdsList() - Method in class org.tensorflow.proto.util.Execution.Builder: Debugged-generated IDs of the devices on which the output tensors reside.
getOutputTensorDeviceIdsList() - Method in class org.tensorflow.proto.util.Execution: Debugged-generated IDs of the devices on which the output tensors reside.
getOutputTensorDeviceIdsList() - Method in interface org.tensorflow.proto.util.ExecutionOrBuilder: Debugged-generated IDs of the devices on which the output tensors reside.
getOutputTensorIds(int) - Method in class org.tensorflow.proto.util.Execution.Builder: IDs of the output tensors (if availbable).
getOutputTensorIds(int) - Method in class org.tensorflow.proto.util.Execution: IDs of the output tensors (if availbable).
getOutputTensorIds(int) - Method in interface org.tensorflow.proto.util.ExecutionOrBuilder: IDs of the output tensors (if availbable).
getOutputTensorIds(int) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Unique IDs for the output tensors of this op.
getOutputTensorIds(int) - Method in class org.tensorflow.proto.util.GraphOpCreation: Unique IDs for the output tensors of this op.
getOutputTensorIds(int) - Method in interface org.tensorflow.proto.util.GraphOpCreationOrBuilder: Unique IDs for the output tensors of this op.
getOutputTensorIdsCount() - Method in class org.tensorflow.proto.util.Execution.Builder: IDs of the output tensors (if availbable).
getOutputTensorIdsCount() - Method in class org.tensorflow.proto.util.Execution: IDs of the output tensors (if availbable).
getOutputTensorIdsCount() - Method in interface org.tensorflow.proto.util.ExecutionOrBuilder: IDs of the output tensors (if availbable).
getOutputTensorIdsCount() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Unique IDs for the output tensors of this op.
getOutputTensorIdsCount() - Method in class org.tensorflow.proto.util.GraphOpCreation: Unique IDs for the output tensors of this op.
getOutputTensorIdsCount() - Method in interface org.tensorflow.proto.util.GraphOpCreationOrBuilder: Unique IDs for the output tensors of this op.
getOutputTensorIdsList() - Method in class org.tensorflow.proto.util.Execution.Builder: IDs of the output tensors (if availbable).
getOutputTensorIdsList() - Method in class org.tensorflow.proto.util.Execution: IDs of the output tensors (if availbable).
getOutputTensorIdsList() - Method in interface org.tensorflow.proto.util.ExecutionOrBuilder: IDs of the output tensors (if availbable).
getOutputTensorIdsList() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Unique IDs for the output tensors of this op.
getOutputTensorIdsList() - Method in class org.tensorflow.proto.util.GraphOpCreation: Unique IDs for the output tensors of this op.
getOutputTensorIdsList() - Method in interface org.tensorflow.proto.util.GraphOpCreationOrBuilder: Unique IDs for the output tensors of this op.
getPaddingId() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder: int32 padding_id = 5;
getPaddingId() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo: int32 padding_id = 5;
getPaddingId() - Method in interface org.tensorflow.proto.framework.GraphTransferNodeInfoOrBuilder: int32 padding_id = 5;
getParallelBatch() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder: bool parallel_batch = 15;
getParallelBatch() - Method in class org.tensorflow.proto.data.OptimizationOptions: bool parallel_batch = 15;
getParallelBatch() - Method in interface org.tensorflow.proto.data.OptimizationOptionsOrBuilder: bool parallel_batch = 15;
getParallelIterations() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: The number of iterations allowed to run in parallel.
getParallelIterations() - Method in class org.tensorflow.proto.framework.WhileContextDef: The number of iterations allowed to run in parallel.
getParallelIterations() - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: The number of iterations allowed to run in parallel.
getParameterMap() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder: Deprecated.
getParameterMap() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer: Deprecated.
getParameterMap() - Method in interface org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizerOrBuilder: Deprecated.
getParameterMapCount() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder
getParameterMapCount() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
getParameterMapCount() - Method in interface org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizerOrBuilder: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameterMapMap() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameterMapMap() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameterMapMap() - Method in interface org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizerOrBuilder: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameterMapOrDefault(String, AttrValue) - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameterMapOrDefault(String, AttrValue) - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameterMapOrDefault(String, AttrValue) - Method in interface org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizerOrBuilder: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameterMapOrThrow(String) - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameterMapOrThrow(String) - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameterMapOrThrow(String) - Method in interface org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizerOrBuilder: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameters(int) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Parameters of this node.
getParameters(int) - Method in class org.tensorflow.proto.data.model.ModelProto.Node: Parameters of this node.
getParameters(int) - Method in interface org.tensorflow.proto.data.model.ModelProto.NodeOrBuilder: Parameters of this node.
getParametersBuilder(int) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Parameters of this node.
getParametersBuilderList() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Parameters of this node.
getParametersCount() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Parameters of this node.
getParametersCount() - Method in class org.tensorflow.proto.data.model.ModelProto.Node: Parameters of this node.
getParametersCount() - Method in interface org.tensorflow.proto.data.model.ModelProto.NodeOrBuilder: Parameters of this node.
getParametersList() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Parameters of this node.
getParametersList() - Method in class org.tensorflow.proto.data.model.ModelProto.Node: Parameters of this node.
getParametersList() - Method in interface org.tensorflow.proto.data.model.ModelProto.NodeOrBuilder: Parameters of this node.
getParametersOrBuilder(int) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Parameters of this node.
getParametersOrBuilder(int) - Method in class org.tensorflow.proto.data.model.ModelProto.Node: Parameters of this node.
getParametersOrBuilder(int) - Method in interface org.tensorflow.proto.data.model.ModelProto.NodeOrBuilder: Parameters of this node.
getParametersOrBuilderList() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Parameters of this node.
getParametersOrBuilderList() - Method in class org.tensorflow.proto.data.model.ModelProto.Node: Parameters of this node.
getParametersOrBuilderList() - Method in interface org.tensorflow.proto.data.model.ModelProto.NodeOrBuilder: Parameters of this node.
getParserForType() - Method in class org.tensorflow.proto.data.AutotuneOptions
getParserForType() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
getParserForType() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
getParserForType() - Method in class org.tensorflow.proto.data.DistributeOptions
getParserForType() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
getParserForType() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
getParserForType() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
getParserForType() - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord
getParserForType() - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
getParserForType() - Method in class org.tensorflow.proto.data.experimental.TensorMetadata
getParserForType() - Method in class org.tensorflow.proto.data.model.ModelProto
getParserForType() - Method in class org.tensorflow.proto.data.model.ModelProto.Node
getParserForType() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
getParserForType() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
getParserForType() - Method in class org.tensorflow.proto.data.OptimizationOptions
getParserForType() - Method in class org.tensorflow.proto.data.Options
getParserForType() - Method in class org.tensorflow.proto.data.ThreadingOptions
getParserForType() - Method in class org.tensorflow.proto.distruntime.ClusterDef
getParserForType() - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
getParserForType() - Method in class org.tensorflow.proto.distruntime.JobDef
getParserForType() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters
getParserForType() - Method in class org.tensorflow.proto.distruntime.ServerDef
getParserForType() - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
getParserForType() - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
getParserForType() - Method in class org.tensorflow.proto.example.BytesList
getParserForType() - Method in class org.tensorflow.proto.example.Example
getParserForType() - Method in class org.tensorflow.proto.example.ExampleParserConfiguration
getParserForType() - Method in class org.tensorflow.proto.example.Feature
getParserForType() - Method in class org.tensorflow.proto.example.FeatureConfiguration
getParserForType() - Method in class org.tensorflow.proto.example.FeatureList
getParserForType() - Method in class org.tensorflow.proto.example.FeatureLists
getParserForType() - Method in class org.tensorflow.proto.example.Features
getParserForType() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto
getParserForType() - Method in class org.tensorflow.proto.example.FloatList
getParserForType() - Method in class org.tensorflow.proto.example.Int64List
getParserForType() - Method in class org.tensorflow.proto.example.SequenceExample
getParserForType() - Method in class org.tensorflow.proto.example.VarLenFeatureProto
getParserForType() - Method in class org.tensorflow.proto.framework.AllocationDescription
getParserForType() - Method in class org.tensorflow.proto.framework.AllocationRecord
getParserForType() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
getParserForType() - Method in class org.tensorflow.proto.framework.ApiDef.Arg
getParserForType() - Method in class org.tensorflow.proto.framework.ApiDef.Attr
getParserForType() - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint
getParserForType() - Method in class org.tensorflow.proto.framework.ApiDef
getParserForType() - Method in class org.tensorflow.proto.framework.ApiDefs
getParserForType() - Method in class org.tensorflow.proto.framework.AssetFileDef
getParserForType() - Method in class org.tensorflow.proto.framework.AttrValue
getParserForType() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue
getParserForType() - Method in class org.tensorflow.proto.framework.AutoParallelOptions
getParserForType() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
getParserForType() - Method in class org.tensorflow.proto.framework.CallableOptions
getParserForType() - Method in class org.tensorflow.proto.framework.CapturedTensor
getParserForType() - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList
getParserForType() - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList
getParserForType() - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList
getParserForType() - Method in class org.tensorflow.proto.framework.CollectionDef
getParserForType() - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List
getParserForType() - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList
getParserForType() - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
getParserForType() - Method in class org.tensorflow.proto.framework.CondContextDef
getParserForType() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental
getParserForType() - Method in class org.tensorflow.proto.framework.ConfigProto
getParserForType() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef
getParserForType() - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
getParserForType() - Method in class org.tensorflow.proto.framework.CostGraphDef
getParserForType() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node
getParserForType() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
getParserForType() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
getParserForType() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile
getParserForType() - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles
getParserForType() - Method in class org.tensorflow.proto.framework.DebugOptions
getParserForType() - Method in class org.tensorflow.proto.framework.DebugTensorWatch
getParserForType() - Method in class org.tensorflow.proto.framework.DeviceAttributes
getParserForType() - Method in class org.tensorflow.proto.framework.DeviceLocality
getParserForType() - Method in class org.tensorflow.proto.framework.DeviceProperties
getParserForType() - Method in class org.tensorflow.proto.framework.DeviceStepStats
getParserForType() - Method in class org.tensorflow.proto.framework.DictValue
getParserForType() - Method in class org.tensorflow.proto.framework.FullTypeDef
getParserForType() - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
getParserForType() - Method in class org.tensorflow.proto.framework.FunctionDef
getParserForType() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary
getParserForType() - Method in class org.tensorflow.proto.framework.FunctionSpec
getParserForType() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental
getParserForType() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
getParserForType() - Method in class org.tensorflow.proto.framework.GPUOptions
getParserForType() - Method in class org.tensorflow.proto.framework.GradientDef
getParserForType() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
getParserForType() - Method in class org.tensorflow.proto.framework.GraphDebugInfo
getParserForType() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
getParserForType() - Method in class org.tensorflow.proto.framework.GraphDef
getParserForType() - Method in class org.tensorflow.proto.framework.GraphOptions
getParserForType() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
getParserForType() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
getParserForType() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
getParserForType() - Method in class org.tensorflow.proto.framework.GraphTransferInfo
getParserForType() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
getParserForType() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput
getParserForType() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
getParserForType() - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
getParserForType() - Method in class org.tensorflow.proto.framework.HistogramProto
getParserForType() - Method in class org.tensorflow.proto.framework.InterconnectLink
getParserForType() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
getParserForType() - Method in class org.tensorflow.proto.framework.KernelDef
getParserForType() - Method in class org.tensorflow.proto.framework.KernelList
getParserForType() - Method in class org.tensorflow.proto.framework.ListValue
getParserForType() - Method in class org.tensorflow.proto.framework.LocalLinks
getParserForType() - Method in class org.tensorflow.proto.framework.LogNormalDistribution
getParserForType() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
getParserForType() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
getParserForType() - Method in class org.tensorflow.proto.framework.MemoryLogStep
getParserForType() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
getParserForType() - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
getParserForType() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
getParserForType() - Method in class org.tensorflow.proto.framework.MemoryStats
getParserForType() - Method in class org.tensorflow.proto.framework.MetaGraphDef
getParserForType() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
getParserForType() - Method in class org.tensorflow.proto.framework.NameAttrList
getParserForType() - Method in class org.tensorflow.proto.framework.NamedDevice
getParserForType() - Method in class org.tensorflow.proto.framework.NamedTensorProto
getParserForType() - Method in class org.tensorflow.proto.framework.NamedTupleValue
getParserForType() - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
getParserForType() - Method in class org.tensorflow.proto.framework.NodeDef
getParserForType() - Method in class org.tensorflow.proto.framework.NodeExecStats
getParserForType() - Method in class org.tensorflow.proto.framework.NodeOutput
getParserForType() - Method in class org.tensorflow.proto.framework.NoneValue
getParserForType() - Method in class org.tensorflow.proto.framework.NormalDistribution
getParserForType() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef
getParserForType() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef
getParserForType() - Method in class org.tensorflow.proto.framework.OpDef
getParserForType() - Method in class org.tensorflow.proto.framework.OpDeprecation
getParserForType() - Method in class org.tensorflow.proto.framework.OpInfo
getParserForType() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
getParserForType() - Method in class org.tensorflow.proto.framework.OpList
getParserForType() - Method in class org.tensorflow.proto.framework.OpPerformance
getParserForType() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
getParserForType() - Method in class org.tensorflow.proto.framework.OpPerformanceList
getParserForType() - Method in class org.tensorflow.proto.framework.OptimizerOptions
getParserForType() - Method in class org.tensorflow.proto.framework.PairValue
getParserForType() - Method in class org.tensorflow.proto.framework.QueueRunnerDef
getParserForType() - Method in class org.tensorflow.proto.framework.ReaderBaseState
getParserForType() - Method in class org.tensorflow.proto.framework.RegisteredGradient
getParserForType() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle
getParserForType() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
getParserForType() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
getParserForType() - Method in class org.tensorflow.proto.framework.ResourceHandleProto
getParserForType() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
getParserForType() - Method in class org.tensorflow.proto.framework.RewriterConfig
getParserForType() - Method in class org.tensorflow.proto.framework.RPCOptions
getParserForType() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
getParserForType() - Method in class org.tensorflow.proto.framework.RunMetadata
getParserForType() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental
getParserForType() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
getParserForType() - Method in class org.tensorflow.proto.framework.RunOptions
getParserForType() - Method in class org.tensorflow.proto.framework.SaveableObject
getParserForType() - Method in class org.tensorflow.proto.framework.SavedAsset
getParserForType() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
getParserForType() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction
getParserForType() - Method in class org.tensorflow.proto.framework.SavedConstant
getParserForType() - Method in class org.tensorflow.proto.framework.SavedFunction
getParserForType() - Method in class org.tensorflow.proto.framework.SavedModel
getParserForType() - Method in class org.tensorflow.proto.framework.SavedObject
getParserForType() - Method in class org.tensorflow.proto.framework.SavedObjectGraph
getParserForType() - Method in class org.tensorflow.proto.framework.SavedResource
getParserForType() - Method in class org.tensorflow.proto.framework.SavedUserObject
getParserForType() - Method in class org.tensorflow.proto.framework.SavedVariable
getParserForType() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef
getParserForType() - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
getParserForType() - Method in class org.tensorflow.proto.framework.SessionInfo
getParserForType() - Method in class org.tensorflow.proto.framework.SessionMetadata
getParserForType() - Method in class org.tensorflow.proto.framework.SignatureDef
getParserForType() - Method in class org.tensorflow.proto.framework.Status.DerivedStatus
getParserForType() - Method in class org.tensorflow.proto.framework.StepStats
getParserForType() - Method in class org.tensorflow.proto.framework.StructuredValue
getParserForType() - Method in class org.tensorflow.proto.framework.Summary.Audio
getParserForType() - Method in class org.tensorflow.proto.framework.Summary
getParserForType() - Method in class org.tensorflow.proto.framework.Summary.Image
getParserForType() - Method in class org.tensorflow.proto.framework.Summary.Value
getParserForType() - Method in class org.tensorflow.proto.framework.SummaryDescription
getParserForType() - Method in class org.tensorflow.proto.framework.SummaryMetadata
getParserForType() - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
getParserForType() - Method in class org.tensorflow.proto.framework.TensorConnection
getParserForType() - Method in class org.tensorflow.proto.framework.TensorDescription
getParserForType() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
getParserForType() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
getParserForType() - Method in class org.tensorflow.proto.framework.TensorInfo
getParserForType() - Method in class org.tensorflow.proto.framework.TensorProto
getParserForType() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
getParserForType() - Method in class org.tensorflow.proto.framework.TensorShapeProto
getParserForType() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
getParserForType() - Method in class org.tensorflow.proto.framework.TensorSliceProto
getParserForType() - Method in class org.tensorflow.proto.framework.TensorSpecProto
getParserForType() - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
getParserForType() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph
getParserForType() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
getParserForType() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
getParserForType() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
getParserForType() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
getParserForType() - Method in class org.tensorflow.proto.framework.TupleValue
getParserForType() - Method in class org.tensorflow.proto.framework.TypeSpecProto
getParserForType() - Method in class org.tensorflow.proto.framework.ValuesDef
getParserForType() - Method in class org.tensorflow.proto.framework.VariableDef
getParserForType() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto
getParserForType() - Method in class org.tensorflow.proto.framework.VerifierConfig
getParserForType() - Method in class org.tensorflow.proto.framework.VersionDef
getParserForType() - Method in class org.tensorflow.proto.framework.WhileContextDef
getParserForType() - Method in class org.tensorflow.proto.profiler.ProfileOptions
getParserForType() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
getParserForType() - Method in class org.tensorflow.proto.profiler.XEvent
getParserForType() - Method in class org.tensorflow.proto.profiler.XEventMetadata
getParserForType() - Method in class org.tensorflow.proto.profiler.XLine
getParserForType() - Method in class org.tensorflow.proto.profiler.XPlane
getParserForType() - Method in class org.tensorflow.proto.profiler.XSpace
getParserForType() - Method in class org.tensorflow.proto.profiler.XStat
getParserForType() - Method in class org.tensorflow.proto.profiler.XStatMetadata
getParserForType() - Method in class org.tensorflow.proto.util.BinSummary
getParserForType() - Method in class org.tensorflow.proto.util.BundleEntryProto
getParserForType() - Method in class org.tensorflow.proto.util.BundleHeaderProto
getParserForType() - Method in class org.tensorflow.proto.util.CodeLocation
getParserForType() - Method in class org.tensorflow.proto.util.DebugEvent
getParserForType() - Method in class org.tensorflow.proto.util.DebuggedDevice
getParserForType() - Method in class org.tensorflow.proto.util.DebuggedGraph
getParserForType() - Method in class org.tensorflow.proto.util.DebugMetadata
getParserForType() - Method in class org.tensorflow.proto.util.Event
getParserForType() - Method in class org.tensorflow.proto.util.Execution
getParserForType() - Method in class org.tensorflow.proto.util.GraphExecutionTrace
getParserForType() - Method in class org.tensorflow.proto.util.GraphOpCreation
getParserForType() - Method in class org.tensorflow.proto.util.LogMessage: Deprecated.
getParserForType() - Method in class org.tensorflow.proto.util.MemAllocatorStats
getParserForType() - Method in class org.tensorflow.proto.util.MemChunk
getParserForType() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
getParserForType() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
getParserForType() - Method in class org.tensorflow.proto.util.MemoryDump
getParserForType() - Method in class org.tensorflow.proto.util.RequestedExitCode
getParserForType() - Method in class org.tensorflow.proto.util.SavedSlice
getParserForType() - Method in class org.tensorflow.proto.util.SavedSliceMeta
getParserForType() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta
getParserForType() - Method in class org.tensorflow.proto.util.SavedTensorSlices
getParserForType() - Method in class org.tensorflow.proto.util.SaverDef
getParserForType() - Method in class org.tensorflow.proto.util.SessionLog
getParserForType() - Method in class org.tensorflow.proto.util.SnapShot
getParserForType() - Method in class org.tensorflow.proto.util.SourceFile
getParserForType() - Method in class org.tensorflow.proto.util.StackFrameWithId
getParserForType() - Method in class org.tensorflow.proto.util.TaggedRunMetadata
getParserForType() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
getParserForType() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
getParserForType() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
getParserForType() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration
getParserForType() - Method in class org.tensorflow.proto.util.testlog.CommitId
getParserForType() - Method in class org.tensorflow.proto.util.testlog.CPUInfo
getParserForType() - Method in class org.tensorflow.proto.util.testlog.EntryValue
getParserForType() - Method in class org.tensorflow.proto.util.testlog.GPUInfo
getParserForType() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration
getParserForType() - Method in class org.tensorflow.proto.util.testlog.MemoryInfo
getParserForType() - Method in class org.tensorflow.proto.util.testlog.MetricEntry
getParserForType() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo
getParserForType() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration
getParserForType() - Method in class org.tensorflow.proto.util.testlog.TestResults
getParserForType() - Method in class org.tensorflow.proto.util.WatchdogConfig
getParserForType() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
getParserForType() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
getPartitionGraphs(int) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
getPartitionGraphs(int) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphs(int) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphs(int) - Method in interface org.tensorflow.proto.framework.RunMetadata.FunctionGraphsOrBuilder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphs(int) - Method in class org.tensorflow.proto.framework.RunMetadata: Graphs of the partitions executed by executors.
getPartitionGraphs(int) - Method in interface org.tensorflow.proto.framework.RunMetadataOrBuilder: Graphs of the partitions executed by executors.
getPartitionGraphsBuilder(int) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
getPartitionGraphsBuilder(int) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphsBuilderList() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
getPartitionGraphsBuilderList() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphsCount() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
getPartitionGraphsCount() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphsCount() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphsCount() - Method in interface org.tensorflow.proto.framework.RunMetadata.FunctionGraphsOrBuilder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphsCount() - Method in class org.tensorflow.proto.framework.RunMetadata: Graphs of the partitions executed by executors.
getPartitionGraphsCount() - Method in interface org.tensorflow.proto.framework.RunMetadataOrBuilder: Graphs of the partitions executed by executors.
getPartitionGraphsList() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
getPartitionGraphsList() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphsList() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphsList() - Method in interface org.tensorflow.proto.framework.RunMetadata.FunctionGraphsOrBuilder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphsList() - Method in class org.tensorflow.proto.framework.RunMetadata: Graphs of the partitions executed by executors.
getPartitionGraphsList() - Method in interface org.tensorflow.proto.framework.RunMetadataOrBuilder: Graphs of the partitions executed by executors.
getPartitionGraphsOrBuilder(int) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
getPartitionGraphsOrBuilder(int) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphsOrBuilder(int) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphsOrBuilder(int) - Method in interface org.tensorflow.proto.framework.RunMetadata.FunctionGraphsOrBuilder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphsOrBuilder(int) - Method in class org.tensorflow.proto.framework.RunMetadata: Graphs of the partitions executed by executors.
getPartitionGraphsOrBuilder(int) - Method in interface org.tensorflow.proto.framework.RunMetadataOrBuilder: Graphs of the partitions executed by executors.
getPartitionGraphsOrBuilderList() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
getPartitionGraphsOrBuilderList() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphsOrBuilderList() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphsOrBuilderList() - Method in interface org.tensorflow.proto.framework.RunMetadata.FunctionGraphsOrBuilder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphsOrBuilderList() - Method in class org.tensorflow.proto.framework.RunMetadata: Graphs of the partitions executed by executors.
getPartitionGraphsOrBuilderList() - Method in interface org.tensorflow.proto.framework.RunMetadataOrBuilder: Graphs of the partitions executed by executors.
getPeakBytes() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: int64 peak_bytes = 3;
getPeakBytes() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed: int64 peak_bytes = 3;
getPeakBytes() - Method in interface org.tensorflow.proto.framework.AllocatorMemoryUsedOrBuilder: int64 peak_bytes = 3;
getPeakBytesInUse() - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder: int64 peak_bytes_in_use = 3;
getPeakBytesInUse() - Method in class org.tensorflow.proto.util.MemAllocatorStats: int64 peak_bytes_in_use = 3;
getPeakBytesInUse() - Method in interface org.tensorflow.proto.util.MemAllocatorStatsOrBuilder: int64 peak_bytes_in_use = 3;
getPendingChangelist() - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder: Changelist tested if the change list is not already submitted.
getPendingChangelist() - Method in class org.tensorflow.proto.util.testlog.CommitId: Changelist tested if the change list is not already submitted.
getPendingChangelist() - Method in interface org.tensorflow.proto.util.testlog.CommitIdOrBuilder: Changelist tested if the change list is not already submitted.
getPerProcessGpuMemoryFraction() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: Fraction of the available GPU memory to allocate for each process.
getPerProcessGpuMemoryFraction() - Method in class org.tensorflow.proto.framework.GPUOptions: Fraction of the available GPU memory to allocate for each process.
getPerProcessGpuMemoryFraction() - Method in interface org.tensorflow.proto.framework.GPUOptionsOrBuilder: Fraction of the available GPU memory to allocate for each process.
getPersistentMemory() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder: int64 persistent_memory = 4;
getPersistentMemory() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory: int64 persistent_memory = 4;
getPersistentMemory() - Method in interface org.tensorflow.proto.framework.OpPerformance.OpMemoryOrBuilder: int64 persistent_memory = 4;
getPersistentMemorySize() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Persistent memory used by this node.
getPersistentMemorySize() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node: Persistent memory used by this node.
getPersistentMemorySize() - Method in interface org.tensorflow.proto.framework.CostGraphDef.NodeOrBuilder: Persistent memory used by this node.
getPersistentMemorySize() - Method in class org.tensorflow.proto.framework.MemoryStats.Builder: int64 persistent_memory_size = 3;
getPersistentMemorySize() - Method in class org.tensorflow.proto.framework.MemoryStats: int64 persistent_memory_size = 3;
getPersistentMemorySize() - Method in interface org.tensorflow.proto.framework.MemoryStatsOrBuilder: int64 persistent_memory_size = 3;
getPersistentTensorAllocIds(int) - Method in class org.tensorflow.proto.framework.MemoryStats.Builder: repeated int64 persistent_tensor_alloc_ids = 5;
getPersistentTensorAllocIds(int) - Method in class org.tensorflow.proto.framework.MemoryStats: repeated int64 persistent_tensor_alloc_ids = 5;
getPersistentTensorAllocIds(int) - Method in interface org.tensorflow.proto.framework.MemoryStatsOrBuilder: repeated int64 persistent_tensor_alloc_ids = 5;
getPersistentTensorAllocIdsCount() - Method in class org.tensorflow.proto.framework.MemoryStats.Builder: repeated int64 persistent_tensor_alloc_ids = 5;
getPersistentTensorAllocIdsCount() - Method in class org.tensorflow.proto.framework.MemoryStats: repeated int64 persistent_tensor_alloc_ids = 5;
getPersistentTensorAllocIdsCount() - Method in interface org.tensorflow.proto.framework.MemoryStatsOrBuilder: repeated int64 persistent_tensor_alloc_ids = 5;
getPersistentTensorAllocIdsList() - Method in class org.tensorflow.proto.framework.MemoryStats.Builder: repeated int64 persistent_tensor_alloc_ids = 5;
getPersistentTensorAllocIdsList() - Method in class org.tensorflow.proto.framework.MemoryStats: repeated int64 persistent_tensor_alloc_ids = 5;
getPersistentTensorAllocIdsList() - Method in interface org.tensorflow.proto.framework.MemoryStatsOrBuilder: repeated int64 persistent_tensor_alloc_ids = 5;
getPhysicalDescription() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder: The physical description of this device.
getPhysicalDescription() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo: The physical description of this device.
getPhysicalDescription() - Method in interface org.tensorflow.proto.util.testlog.AvailableDeviceInfoOrBuilder: The physical description of this device.
getPhysicalDescriptionBytes() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder: The physical description of this device.
getPhysicalDescriptionBytes() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo: The physical description of this device.
getPhysicalDescriptionBytes() - Method in interface org.tensorflow.proto.util.testlog.AvailableDeviceInfoOrBuilder: The physical description of this device.
getPhysicalDeviceDesc() - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: String representation of the physical device that this device maps to.
getPhysicalDeviceDesc() - Method in class org.tensorflow.proto.framework.DeviceAttributes: String representation of the physical device that this device maps to.
getPhysicalDeviceDesc() - Method in interface org.tensorflow.proto.framework.DeviceAttributesOrBuilder: String representation of the physical device that this device maps to.
getPhysicalDeviceDescBytes() - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: String representation of the physical device that this device maps to.
getPhysicalDeviceDescBytes() - Method in class org.tensorflow.proto.framework.DeviceAttributes: String representation of the physical device that this device maps to.
getPhysicalDeviceDescBytes() - Method in interface org.tensorflow.proto.framework.DeviceAttributesOrBuilder: String representation of the physical device that this device maps to.
getPinToHostOptimization() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Force small ops onto the CPU (default is OFF).
getPinToHostOptimization() - Method in class org.tensorflow.proto.framework.RewriterConfig: Force small ops onto the CPU (default is OFF).
getPinToHostOptimization() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Force small ops onto the CPU (default is OFF).
getPinToHostOptimizationValue() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Force small ops onto the CPU (default is OFF).
getPinToHostOptimizationValue() - Method in class org.tensorflow.proto.framework.RewriterConfig: Force small ops onto the CPU (default is OFF).
getPinToHostOptimizationValue() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Force small ops onto the CPU (default is OFF).
getPivotForBodyName() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Name of the pivot_for_body tensor.
getPivotForBodyName() - Method in class org.tensorflow.proto.framework.WhileContextDef: Name of the pivot_for_body tensor.
getPivotForBodyName() - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: Name of the pivot_for_body tensor.
getPivotForBodyNameBytes() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Name of the pivot_for_body tensor.
getPivotForBodyNameBytes() - Method in class org.tensorflow.proto.framework.WhileContextDef: Name of the pivot_for_body tensor.
getPivotForBodyNameBytes() - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: Name of the pivot_for_body tensor.
getPivotForPredName() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Name of the pivot_for_pred tensor.
getPivotForPredName() - Method in class org.tensorflow.proto.framework.WhileContextDef: Name of the pivot_for_pred tensor.
getPivotForPredName() - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: Name of the pivot_for_pred tensor.
getPivotForPredNameBytes() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Name of the pivot_for_pred tensor.
getPivotForPredNameBytes() - Method in class org.tensorflow.proto.framework.WhileContextDef: Name of the pivot_for_pred tensor.
getPivotForPredNameBytes() - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: Name of the pivot_for_pred tensor.
getPivotName() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Name of the pivot tensor.
getPivotName() - Method in class org.tensorflow.proto.framework.CondContextDef: Name of the pivot tensor.
getPivotName() - Method in interface org.tensorflow.proto.framework.CondContextDefOrBuilder: Name of the pivot tensor.
getPivotName() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Name of the pivot tensor.
getPivotName() - Method in class org.tensorflow.proto.framework.WhileContextDef: Name of the pivot tensor.
getPivotName() - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: Name of the pivot tensor.
getPivotNameBytes() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Name of the pivot tensor.
getPivotNameBytes() - Method in class org.tensorflow.proto.framework.CondContextDef: Name of the pivot tensor.
getPivotNameBytes() - Method in interface org.tensorflow.proto.framework.CondContextDefOrBuilder: Name of the pivot tensor.
getPivotNameBytes() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Name of the pivot tensor.
getPivotNameBytes() - Method in class org.tensorflow.proto.framework.WhileContextDef: Name of the pivot tensor.
getPivotNameBytes() - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: Name of the pivot tensor.
getPlaceholder() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: This is a placeholder only used in nodes defined inside a function.
getPlaceholder() - Method in class org.tensorflow.proto.framework.AttrValue: This is a placeholder only used in nodes defined inside a function.
getPlaceholder() - Method in interface org.tensorflow.proto.framework.AttrValueOrBuilder: This is a placeholder only used in nodes defined inside a function.
getPlaceholderBytes() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: This is a placeholder only used in nodes defined inside a function.
getPlaceholderBytes() - Method in class org.tensorflow.proto.framework.AttrValue: This is a placeholder only used in nodes defined inside a function.
getPlaceholderBytes() - Method in interface org.tensorflow.proto.framework.AttrValueOrBuilder: This is a placeholder only used in nodes defined inside a function.
getPlacementPeriod() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Assignment of Nodes to Devices is recomputed every placement_period steps until the system warms up (at which point the recomputation typically slows down automatically).
getPlacementPeriod() - Method in class org.tensorflow.proto.framework.ConfigProto: Assignment of Nodes to Devices is recomputed every placement_period steps until the system warms up (at which point the recomputation typically slows down automatically).
getPlacementPeriod() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: Assignment of Nodes to Devices is recomputed every placement_period steps until the system warms up (at which point the recomputation typically slows down automatically).
getPlacePrunedGraph() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: Only place the subgraphs that are run, rather than the entire graph.
getPlacePrunedGraph() - Method in class org.tensorflow.proto.framework.GraphOptions: Only place the subgraphs that are run, rather than the entire graph.
getPlacePrunedGraph() - Method in interface org.tensorflow.proto.framework.GraphOptionsOrBuilder: Only place the subgraphs that are run, rather than the entire graph.
getPlanes(int) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanes(int) - Method in class org.tensorflow.proto.profiler.XSpace: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanes(int) - Method in interface org.tensorflow.proto.profiler.XSpaceOrBuilder: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanesBuilder(int) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanesBuilderList() - Method in class org.tensorflow.proto.profiler.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanesCount() - Method in class org.tensorflow.proto.profiler.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanesCount() - Method in class org.tensorflow.proto.profiler.XSpace: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanesCount() - Method in interface org.tensorflow.proto.profiler.XSpaceOrBuilder: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanesList() - Method in class org.tensorflow.proto.profiler.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanesList() - Method in class org.tensorflow.proto.profiler.XSpace: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanesList() - Method in interface org.tensorflow.proto.profiler.XSpaceOrBuilder: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanesOrBuilder(int) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanesOrBuilder(int) - Method in class org.tensorflow.proto.profiler.XSpace: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanesOrBuilder(int) - Method in interface org.tensorflow.proto.profiler.XSpaceOrBuilder: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanesOrBuilderList() - Method in class org.tensorflow.proto.profiler.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanesOrBuilderList() - Method in class org.tensorflow.proto.profiler.XSpace: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanesOrBuilderList() - Method in interface org.tensorflow.proto.profiler.XSpaceOrBuilder: repeated .tensorflow.profiler.XPlane planes = 1;
getPlatformInfo() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Additional platform information.
getPlatformInfo() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration: Additional platform information.
getPlatformInfo() - Method in interface org.tensorflow.proto.util.testlog.MachineConfigurationOrBuilder: Additional platform information.
getPlatformInfoBuilder() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Additional platform information.
getPlatformInfoOrBuilder() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Additional platform information.
getPlatformInfoOrBuilder() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration: Additional platform information.
getPlatformInfoOrBuilder() - Method in interface org.tensorflow.proto.util.testlog.MachineConfigurationOrBuilder: Additional platform information.
getPluginData() - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder: Data that associates a summary with a certain plugin.
getPluginData() - Method in class org.tensorflow.proto.framework.SummaryMetadata: Data that associates a summary with a certain plugin.
getPluginData() - Method in interface org.tensorflow.proto.framework.SummaryMetadataOrBuilder: Data that associates a summary with a certain plugin.
getPluginDataBuilder() - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder: Data that associates a summary with a certain plugin.
getPluginDataOrBuilder() - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder: Data that associates a summary with a certain plugin.
getPluginDataOrBuilder() - Method in class org.tensorflow.proto.framework.SummaryMetadata: Data that associates a summary with a certain plugin.
getPluginDataOrBuilder() - Method in interface org.tensorflow.proto.framework.SummaryMetadataOrBuilder: Data that associates a summary with a certain plugin.
getPluginName() - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData.Builder: The name of the plugin this data pertains to.
getPluginName() - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData: The name of the plugin this data pertains to.
getPluginName() - Method in interface org.tensorflow.proto.framework.SummaryMetadata.PluginDataOrBuilder: The name of the plugin this data pertains to.
getPluginNameBytes() - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData.Builder: The name of the plugin this data pertains to.
getPluginNameBytes() - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData: The name of the plugin this data pertains to.
getPluginNameBytes() - Method in interface org.tensorflow.proto.framework.SummaryMetadata.PluginDataOrBuilder: The name of the plugin this data pertains to.
getPointer(long) - Method in class org.tensorflow.internal.c_api.GradOpRegistry
getPointer(long) - Method in class org.tensorflow.internal.c_api.NativeOperation
getPointer(long) - Method in class org.tensorflow.internal.c_api.NativeOutput
getPointer(long) - Method in class org.tensorflow.internal.c_api.TF_AllocatorAttributes
getPointer(long) - Method in class org.tensorflow.internal.c_api.TF_AttrMetadata
getPointer(long) - Method in class org.tensorflow.internal.c_api.TF_Buffer
getPointer(long) - Method in class org.tensorflow.internal.c_api.TF_Input
getPointer(long) - Method in class org.tensorflow.internal.c_api.TF_Output
getPointer(long) - Method in class org.tensorflow.internal.c_api.TF_StringView
getPointer(long) - Method in class org.tensorflow.internal.c_api.TF_TString
getPointer(long) - Method in class org.tensorflow.internal.c_api.TF_TString_Large
getPointer(long) - Method in class org.tensorflow.internal.c_api.TF_TString_Offset
getPointer(long) - Method in class org.tensorflow.internal.c_api.TF_TString_Raw
getPointer(long) - Method in class org.tensorflow.internal.c_api.TF_TString_Small
getPointer(long) - Method in class org.tensorflow.internal.c_api.TF_TString_Union
getPointer(long) - Method in class org.tensorflow.internal.c_api.TF_TString_View
getPollingActiveDelayUsecs() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty.
getPollingActiveDelayUsecs() - Method in class org.tensorflow.proto.framework.GPUOptions: In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty.
getPollingActiveDelayUsecs() - Method in interface org.tensorflow.proto.framework.GPUOptionsOrBuilder: In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty.
getPollingInactiveDelayMsecs() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: This field is deprecated and ignored.
getPollingInactiveDelayMsecs() - Method in class org.tensorflow.proto.framework.GPUOptions: This field is deprecated and ignored.
getPollingInactiveDelayMsecs() - Method in interface org.tensorflow.proto.framework.GPUOptionsOrBuilder: This field is deprecated and ignored.
getPort() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: The port for the dispatcher to bind to.
getPort() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: The port for the dispatcher to bind to.
getPort() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: The port for the dispatcher to bind to.
getPort() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The port for the worker to bind to.
getPort() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: The port for the worker to bind to.
getPort() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: The port for the worker to bind to.
getPort() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The server port.
getPort() - Method in class org.tensorflow.proto.distruntime.ServerDef: The server port.
getPort() - Method in interface org.tensorflow.proto.distruntime.ServerDefOrBuilder: The server port.
getPostOptimizationGraph() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef post_optimization_graph = 3;
getPostOptimizationGraph() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs: .tensorflow.GraphDef post_optimization_graph = 3;
getPostOptimizationGraph() - Method in interface org.tensorflow.proto.framework.RunMetadata.FunctionGraphsOrBuilder: .tensorflow.GraphDef post_optimization_graph = 3;
getPostOptimizationGraphBuilder() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef post_optimization_graph = 3;
getPostOptimizationGraphOrBuilder() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef post_optimization_graph = 3;
getPostOptimizationGraphOrBuilder() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs: .tensorflow.GraphDef post_optimization_graph = 3;
getPostOptimizationGraphOrBuilder() - Method in interface org.tensorflow.proto.framework.RunMetadata.FunctionGraphsOrBuilder: .tensorflow.GraphDef post_optimization_graph = 3;
getPostOptimizationVerifierConfig() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
getPostOptimizationVerifierConfig() - Method in class org.tensorflow.proto.framework.RewriterConfig: VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
getPostOptimizationVerifierConfig() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
getPostOptimizationVerifierConfigBuilder() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
getPostOptimizationVerifierConfigOrBuilder() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
getPostOptimizationVerifierConfigOrBuilder() - Method in class org.tensorflow.proto.framework.RewriterConfig: VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
getPostOptimizationVerifierConfigOrBuilder() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
getPrecedingNode() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo.Builder: int32 preceding_node = 1;
getPrecedingNode() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo: int32 preceding_node = 1;
getPrecedingNode() - Method in interface org.tensorflow.proto.framework.CostGraphDef.Node.InputInfoOrBuilder: int32 preceding_node = 1;
getPrecedingPort() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo.Builder: int32 preceding_port = 2;
getPrecedingPort() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo: int32 preceding_port = 2;
getPrecedingPort() - Method in interface org.tensorflow.proto.framework.CostGraphDef.Node.InputInfoOrBuilder: int32 preceding_port = 2;
getPredName() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Name of the pred tensor.
getPredName() - Method in class org.tensorflow.proto.framework.CondContextDef: Name of the pred tensor.
getPredName() - Method in interface org.tensorflow.proto.framework.CondContextDefOrBuilder: Name of the pred tensor.
getPredNameBytes() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Name of the pred tensor.
getPredNameBytes() - Method in class org.tensorflow.proto.framework.CondContextDef: Name of the pred tensor.
getPredNameBytes() - Method in interface org.tensorflow.proto.framework.CondContextDefOrBuilder: Name of the pred tensor.
getPreOptimizationGraph() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef pre_optimization_graph = 2;
getPreOptimizationGraph() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs: .tensorflow.GraphDef pre_optimization_graph = 2;
getPreOptimizationGraph() - Method in interface org.tensorflow.proto.framework.RunMetadata.FunctionGraphsOrBuilder: .tensorflow.GraphDef pre_optimization_graph = 2;
getPreOptimizationGraphBuilder() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef pre_optimization_graph = 2;
getPreOptimizationGraphOrBuilder() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef pre_optimization_graph = 2;
getPreOptimizationGraphOrBuilder() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs: .tensorflow.GraphDef pre_optimization_graph = 2;
getPreOptimizationGraphOrBuilder() - Method in interface org.tensorflow.proto.framework.RunMetadata.FunctionGraphsOrBuilder: .tensorflow.GraphDef pre_optimization_graph = 2;
getPriority(int) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder: Priority values to use with the virtual devices.
getPriority(int) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices: Priority values to use with the virtual devices.
getPriority(int) - Method in interface org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevicesOrBuilder: Priority values to use with the virtual devices.
getPriority() - Method in class org.tensorflow.proto.framework.KernelDef.Builder: Prioritization of kernel amongst different devices.
getPriority() - Method in class org.tensorflow.proto.framework.KernelDef: Prioritization of kernel amongst different devices.
getPriority() - Method in interface org.tensorflow.proto.framework.KernelDefOrBuilder: Prioritization of kernel amongst different devices.
getPriority() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions.Builder: Priority of the request.
getPriority() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions: Priority of the request.
getPriority() - Method in interface org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder: Priority of the request.
getPriorityCount() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder: Priority values to use with the virtual devices.
getPriorityCount() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices: Priority values to use with the virtual devices.
getPriorityCount() - Method in interface org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevicesOrBuilder: Priority values to use with the virtual devices.
getPriorityList() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder: Priority values to use with the virtual devices.
getPriorityList() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices: Priority values to use with the virtual devices.
getPriorityList() - Method in interface org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevicesOrBuilder: Priority values to use with the virtual devices.
getPrivateThreadpoolSize() - Method in class org.tensorflow.proto.data.ThreadingOptions.Builder: int32 private_threadpool_size = 2;
getPrivateThreadpoolSize() - Method in class org.tensorflow.proto.data.ThreadingOptions: int32 private_threadpool_size = 2;
getPrivateThreadpoolSize() - Method in interface org.tensorflow.proto.data.ThreadingOptionsOrBuilder: int32 private_threadpool_size = 2;
getProcessingTime() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: The aggregate processing time spent in this node.
getProcessingTime() - Method in class org.tensorflow.proto.data.model.ModelProto.Node: The aggregate processing time spent in this node.
getProcessingTime() - Method in interface org.tensorflow.proto.data.model.ModelProto.NodeOrBuilder: The aggregate processing time spent in this node.
getProducer() - Method in class org.tensorflow.proto.framework.VersionDef.Builder: The version of the code that produced this data.
getProducer() - Method in class org.tensorflow.proto.framework.VersionDef: The version of the code that produced this data.
getProducer() - Method in interface org.tensorflow.proto.framework.VersionDefOrBuilder: The version of the code that produced this data.
getProfilerOptions() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder: Options for each local profiler.
getProfilerOptions() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions: Options for each local profiler.
getProfilerOptions() - Method in interface org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptionsOrBuilder: Options for each local profiler.
getProfilerOptionsBuilder() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder: Options for each local profiler.
getProfilerOptionsOrBuilder() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder: Options for each local profiler.
getProfilerOptionsOrBuilder() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions: Options for each local profiler.
getProfilerOptionsOrBuilder() - Method in interface org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptionsOrBuilder: Options for each local profiler.
getProperties() - Method in class org.tensorflow.proto.framework.NamedDevice.Builder: .tensorflow.DeviceProperties properties = 2;
getProperties() - Method in class org.tensorflow.proto.framework.NamedDevice: .tensorflow.DeviceProperties properties = 2;
getProperties() - Method in interface org.tensorflow.proto.framework.NamedDeviceOrBuilder: .tensorflow.DeviceProperties properties = 2;
getPropertiesBuilder() - Method in class org.tensorflow.proto.framework.NamedDevice.Builder: .tensorflow.DeviceProperties properties = 2;
getPropertiesOrBuilder() - Method in class org.tensorflow.proto.framework.NamedDevice.Builder: .tensorflow.DeviceProperties properties = 2;
getPropertiesOrBuilder() - Method in class org.tensorflow.proto.framework.NamedDevice: .tensorflow.DeviceProperties properties = 2;
getPropertiesOrBuilder() - Method in interface org.tensorflow.proto.framework.NamedDeviceOrBuilder: .tensorflow.DeviceProperties properties = 2;
getProtocol() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: The protocol for the dispatcher to use when connecting to workers.
getProtocol() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: The protocol for the dispatcher to use when connecting to workers.
getProtocol() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: The protocol for the dispatcher to use when connecting to workers.
getProtocol() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The protocol for the worker to use when connecting to the dispatcher.
getProtocol() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: The protocol for the worker to use when connecting to the dispatcher.
getProtocol() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: The protocol for the worker to use when connecting to the dispatcher.
getProtocol() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The protocol to be used by this server.
getProtocol() - Method in class org.tensorflow.proto.distruntime.ServerDef: The protocol to be used by this server.
getProtocol() - Method in interface org.tensorflow.proto.distruntime.ServerDefOrBuilder: The protocol to be used by this server.
getProtocolBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: The protocol for the dispatcher to use when connecting to workers.
getProtocolBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: The protocol for the dispatcher to use when connecting to workers.
getProtocolBytes() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: The protocol for the dispatcher to use when connecting to workers.
getProtocolBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The protocol for the worker to use when connecting to the dispatcher.
getProtocolBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: The protocol for the worker to use when connecting to the dispatcher.
getProtocolBytes() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: The protocol for the worker to use when connecting to the dispatcher.
getProtocolBytes() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The protocol to be used by this server.
getProtocolBytes() - Method in class org.tensorflow.proto.distruntime.ServerDef: The protocol to be used by this server.
getProtocolBytes() - Method in interface org.tensorflow.proto.distruntime.ServerDefOrBuilder: The protocol to be used by this server.
getPtr() - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder: Address of the allocation.
getPtr() - Method in class org.tensorflow.proto.framework.AllocationDescription: Address of the allocation.
getPtr() - Method in interface org.tensorflow.proto.framework.AllocationDescriptionOrBuilder: Address of the allocation.
getPtr() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder: Address of the allocation.
getPtr() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation: Address of the allocation.
getPtr() - Method in interface org.tensorflow.proto.framework.MemoryLogRawAllocationOrBuilder: Address of the allocation.
getPythonTracerLevel() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: Whether enable python function calls tracing.
getPythonTracerLevel() - Method in class org.tensorflow.proto.profiler.ProfileOptions: Whether enable python function calls tracing.
getPythonTracerLevel() - Method in interface org.tensorflow.proto.profiler.ProfileOptionsOrBuilder: Whether enable python function calls tracing.
getQueueClosedExceptionTypes(int) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypes(int) - Method in class org.tensorflow.proto.framework.QueueRunnerDef: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypes(int) - Method in interface org.tensorflow.proto.framework.QueueRunnerDefOrBuilder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesCount() - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesCount() - Method in class org.tensorflow.proto.framework.QueueRunnerDef: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesCount() - Method in interface org.tensorflow.proto.framework.QueueRunnerDefOrBuilder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesList() - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesList() - Method in class org.tensorflow.proto.framework.QueueRunnerDef: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesList() - Method in interface org.tensorflow.proto.framework.QueueRunnerDefOrBuilder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesValue(int) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesValue(int) - Method in class org.tensorflow.proto.framework.QueueRunnerDef: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesValue(int) - Method in interface org.tensorflow.proto.framework.QueueRunnerDefOrBuilder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesValueList() - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesValueList() - Method in class org.tensorflow.proto.framework.QueueRunnerDef: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesValueList() - Method in interface org.tensorflow.proto.framework.QueueRunnerDefOrBuilder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueName() - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: Queue name.
getQueueName() - Method in class org.tensorflow.proto.framework.QueueRunnerDef: Queue name.
getQueueName() - Method in interface org.tensorflow.proto.framework.QueueRunnerDefOrBuilder: Queue name.
getQueueNameBytes() - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: Queue name.
getQueueNameBytes() - Method in class org.tensorflow.proto.framework.QueueRunnerDef: Queue name.
getQueueNameBytes() - Method in interface org.tensorflow.proto.framework.QueueRunnerDefOrBuilder: Queue name.
getRamBudget() - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder: int64 ram_budget = 3;
getRamBudget() - Method in class org.tensorflow.proto.data.AutotuneOptions: int64 ram_budget = 3;
getRamBudget() - Method in interface org.tensorflow.proto.data.AutotuneOptionsOrBuilder: int64 ram_budget = 3;
getRamBudget() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder: Amount of available memory in bytes.
getRamBudget() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams: Amount of available memory in bytes.
getRamBudget() - Method in interface org.tensorflow.proto.data.model.ModelProto.OptimizationParamsOrBuilder: Amount of available memory in bytes.
getRatio() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Ratio of input to output elements.
getRatio() - Method in class org.tensorflow.proto.data.model.ModelProto.Node: Ratio of input to output elements.
getRatio() - Method in interface org.tensorflow.proto.data.model.ModelProto.NodeOrBuilder: Ratio of input to output elements.
getRecordMetrics() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: An indication whether this node records metrics about produced and consumed elements.
getRecordMetrics() - Method in class org.tensorflow.proto.data.model.ModelProto.Node: An indication whether this node records metrics about produced and consumed elements.
getRecordMetrics() - Method in interface org.tensorflow.proto.data.model.ModelProto.NodeOrBuilder: An indication whether this node records metrics about produced and consumed elements.
getRecvBufMaxChunk() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Guidance to formatting of large RecvBuf fields for transfer.
getRecvBufMaxChunk() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental: Guidance to formatting of large RecvBuf fields for transfer.
getRecvBufMaxChunk() - Method in interface org.tensorflow.proto.framework.ConfigProto.ExperimentalOrBuilder: Guidance to formatting of large RecvBuf fields for transfer.
getReferencedTensor(int) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensor(int) - Method in class org.tensorflow.proto.framework.NodeExecStats: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensor(int) - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorBuilder(int) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorBuilderList() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorCount() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorCount() - Method in class org.tensorflow.proto.framework.NodeExecStats: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorCount() - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorList() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorList() - Method in class org.tensorflow.proto.framework.NodeExecStats: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorList() - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorOrBuilder(int) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorOrBuilder(int) - Method in class org.tensorflow.proto.framework.NodeExecStats: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorOrBuilder(int) - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorOrBuilderList() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorOrBuilderList() - Method in class org.tensorflow.proto.framework.NodeExecStats: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorOrBuilderList() - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getRefValue() - Method in class org.tensorflow.proto.profiler.XStat.Builder: A string value that stored in XStatMetadata::name.
getRefValue() - Method in class org.tensorflow.proto.profiler.XStat: A string value that stored in XStatMetadata::name.
getRefValue() - Method in interface org.tensorflow.proto.profiler.XStatOrBuilder: A string value that stored in XStatMetadata::name.
getRegisteredGradients(int) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradients(int) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradients(int) - Method in interface org.tensorflow.proto.framework.FunctionDefLibraryOrBuilder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradientsBuilder(int) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradientsBuilderList() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradientsCount() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradientsCount() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradientsCount() - Method in interface org.tensorflow.proto.framework.FunctionDefLibraryOrBuilder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradientsList() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradientsList() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradientsList() - Method in interface org.tensorflow.proto.framework.FunctionDefLibraryOrBuilder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradientsOrBuilder(int) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradientsOrBuilder(int) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradientsOrBuilder(int) - Method in interface org.tensorflow.proto.framework.FunctionDefLibraryOrBuilder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradientsOrBuilderList() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradientsOrBuilderList() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradientsOrBuilderList() - Method in interface org.tensorflow.proto.framework.FunctionDefLibraryOrBuilder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredName() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: The fields below are filled when the user serializes a registered Trackable class.
getRegisteredName() - Method in class org.tensorflow.proto.framework.SavedObject: The fields below are filled when the user serializes a registered Trackable class.
getRegisteredName() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: The fields below are filled when the user serializes a registered Trackable class.
getRegisteredNameBytes() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: The fields below are filled when the user serializes a registered Trackable class.
getRegisteredNameBytes() - Method in class org.tensorflow.proto.framework.SavedObject: The fields below are filled when the user serializes a registered Trackable class.
getRegisteredNameBytes() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: The fields below are filled when the user serializes a registered Trackable class.
getRegisteredOpType() - Method in class org.tensorflow.proto.framework.RegisteredGradient.Builder: The gradient function's registered op type.
getRegisteredOpType() - Method in class org.tensorflow.proto.framework.RegisteredGradient: The gradient function's registered op type.
getRegisteredOpType() - Method in interface org.tensorflow.proto.framework.RegisteredGradientOrBuilder: The gradient function's registered op type.
getRegisteredOpTypeBytes() - Method in class org.tensorflow.proto.framework.RegisteredGradient.Builder: The gradient function's registered op type.
getRegisteredOpTypeBytes() - Method in class org.tensorflow.proto.framework.RegisteredGradient: The gradient function's registered op type.
getRegisteredOpTypeBytes() - Method in interface org.tensorflow.proto.framework.RegisteredGradientOrBuilder: The gradient function's registered op type.
getRelease() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
getRelease() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo: e.g.
getRelease() - Method in interface org.tensorflow.proto.util.testlog.PlatformInfoOrBuilder: e.g.
getReleaseBytes() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
getReleaseBytes() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo: e.g.
getReleaseBytes() - Method in interface org.tensorflow.proto.util.testlog.PlatformInfoOrBuilder: e.g.
getRemapping() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Remapping (default is ON) Remap subgraphs onto more efficient implementations.
getRemapping() - Method in class org.tensorflow.proto.framework.RewriterConfig: Remapping (default is ON) Remap subgraphs onto more efficient implementations.
getRemapping() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Remapping (default is ON) Remap subgraphs onto more efficient implementations.
getRemappingValue() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Remapping (default is ON) Remap subgraphs onto more efficient implementations.
getRemappingValue() - Method in class org.tensorflow.proto.framework.RewriterConfig: Remapping (default is ON) Remap subgraphs onto more efficient implementations.
getRemappingValue() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Remapping (default is ON) Remap subgraphs onto more efficient implementations.
getRenameTo() - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder: Change the name used to access this arg in the API from what is used in the GraphDef.
getRenameTo() - Method in class org.tensorflow.proto.framework.ApiDef.Arg: Change the name used to access this arg in the API from what is used in the GraphDef.
getRenameTo() - Method in interface org.tensorflow.proto.framework.ApiDef.ArgOrBuilder: Change the name used to access this arg in the API from what is used in the GraphDef.
getRenameTo() - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder: Change the name used to access this attr in the API from what is used in the GraphDef.
getRenameTo() - Method in class org.tensorflow.proto.framework.ApiDef.Attr: Change the name used to access this attr in the API from what is used in the GraphDef.
getRenameTo() - Method in interface org.tensorflow.proto.framework.ApiDef.AttrOrBuilder: Change the name used to access this attr in the API from what is used in the GraphDef.
getRenameToBytes() - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder: Change the name used to access this arg in the API from what is used in the GraphDef.
getRenameToBytes() - Method in class org.tensorflow.proto.framework.ApiDef.Arg: Change the name used to access this arg in the API from what is used in the GraphDef.
getRenameToBytes() - Method in interface org.tensorflow.proto.framework.ApiDef.ArgOrBuilder: Change the name used to access this arg in the API from what is used in the GraphDef.
getRenameToBytes() - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder: Change the name used to access this attr in the API from what is used in the GraphDef.
getRenameToBytes() - Method in class org.tensorflow.proto.framework.ApiDef.Attr: Change the name used to access this attr in the API from what is used in the GraphDef.
getRenameToBytes() - Method in interface org.tensorflow.proto.framework.ApiDef.AttrOrBuilder: Change the name used to access this attr in the API from what is used in the GraphDef.
getReportTensorAllocationsUponOom() - Method in class org.tensorflow.proto.framework.RunOptions.Builder: When enabled, causes tensor allocation information to be included in the error message when the Run() call fails because the allocator ran out of memory (OOM).
getReportTensorAllocationsUponOom() - Method in class org.tensorflow.proto.framework.RunOptions: When enabled, causes tensor allocation information to be included in the error message when the Run() call fails because the allocator ran out of memory (OOM).
getReportTensorAllocationsUponOom() - Method in interface org.tensorflow.proto.framework.RunOptionsOrBuilder: When enabled, causes tensor allocation information to be included in the error message when the Run() call fails because the allocator ran out of memory (OOM).
getRepositoryPath() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: Directory to save profile data to.
getRepositoryPath() - Method in class org.tensorflow.proto.profiler.ProfileOptions: Directory to save profile data to.
getRepositoryPath() - Method in interface org.tensorflow.proto.profiler.ProfileOptionsOrBuilder: Directory to save profile data to.
getRepositoryPathBytes() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: Directory to save profile data to.
getRepositoryPathBytes() - Method in class org.tensorflow.proto.profiler.ProfileOptions: Directory to save profile data to.
getRepositoryPathBytes() - Method in interface org.tensorflow.proto.profiler.ProfileOptionsOrBuilder: Directory to save profile data to.
getRequestedBytes() - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder: Total number of bytes requested
getRequestedBytes() - Method in class org.tensorflow.proto.framework.AllocationDescription: Total number of bytes requested
getRequestedBytes() - Method in interface org.tensorflow.proto.framework.AllocationDescriptionOrBuilder: Total number of bytes requested
getRequestedSize() - Method in class org.tensorflow.proto.util.MemChunk.Builder: int64 requested_size = 3;
getRequestedSize() - Method in class org.tensorflow.proto.util.MemChunk: int64 requested_size = 3;
getRequestedSize() - Method in interface org.tensorflow.proto.util.MemChunkOrBuilder: int64 requested_size = 3;
getResetDiskByteUsage() - Method in class org.tensorflow.proto.framework.DebugOptions.Builder: Whether the total disk usage of tfdbg is to be reset to zero in this Session.run call.
getResetDiskByteUsage() - Method in class org.tensorflow.proto.framework.DebugOptions: Whether the total disk usage of tfdbg is to be reset to zero in this Session.run call.
getResetDiskByteUsage() - Method in interface org.tensorflow.proto.framework.DebugOptionsOrBuilder: Whether the total disk usage of tfdbg is to be reset to zero in this Session.run call.
getResource() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedResource resource = 10;
getResource() - Method in class org.tensorflow.proto.framework.SavedObject: .tensorflow.SavedResource resource = 10;
getResource() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: .tensorflow.SavedResource resource = 10;
getResourceArgUniqueId() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: Deprecated.
getResourceArgUniqueId() - Method in class org.tensorflow.proto.framework.FunctionDef: Deprecated.
getResourceArgUniqueId() - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: Deprecated.
getResourceArgUniqueIdCount() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
getResourceArgUniqueIdCount() - Method in class org.tensorflow.proto.framework.FunctionDef
getResourceArgUniqueIdCount() - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: Unique IDs for each resource argument, used to track aliasing resources.
getResourceArgUniqueIdMap() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: Unique IDs for each resource argument, used to track aliasing resources.
getResourceArgUniqueIdMap() - Method in class org.tensorflow.proto.framework.FunctionDef: Unique IDs for each resource argument, used to track aliasing resources.
getResourceArgUniqueIdMap() - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: Unique IDs for each resource argument, used to track aliasing resources.
getResourceArgUniqueIdOrDefault(int, int) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: Unique IDs for each resource argument, used to track aliasing resources.
getResourceArgUniqueIdOrDefault(int, int) - Method in class org.tensorflow.proto.framework.FunctionDef: Unique IDs for each resource argument, used to track aliasing resources.
getResourceArgUniqueIdOrDefault(int, int) - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: Unique IDs for each resource argument, used to track aliasing resources.
getResourceArgUniqueIdOrThrow(int) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: Unique IDs for each resource argument, used to track aliasing resources.
getResourceArgUniqueIdOrThrow(int) - Method in class org.tensorflow.proto.framework.FunctionDef: Unique IDs for each resource argument, used to track aliasing resources.
getResourceArgUniqueIdOrThrow(int) - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: Unique IDs for each resource argument, used to track aliasing resources.
getResourceBuilder() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedResource resource = 10;
getResourceDtypesAndShapes(int) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapes(int) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapes(int) - Method in interface org.tensorflow.proto.framework.RemoteTensorHandleOrBuilder: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapesBuilder(int) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapesBuilderList() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapesCount() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapesCount() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapesCount() - Method in interface org.tensorflow.proto.framework.RemoteTensorHandleOrBuilder: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapesList() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapesList() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapesList() - Method in interface org.tensorflow.proto.framework.RemoteTensorHandleOrBuilder: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapesOrBuilder(int) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapesOrBuilder(int) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapesOrBuilder(int) - Method in interface org.tensorflow.proto.framework.RemoteTensorHandleOrBuilder: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapesOrBuilderList() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapesOrBuilderList() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapesOrBuilderList() - Method in interface org.tensorflow.proto.framework.RemoteTensorHandleOrBuilder: Optional data types and shapes of a remote resource variable.
getResourceHandleVal(int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_RESOURCE
getResourceHandleVal(int) - Method in class org.tensorflow.proto.framework.TensorProto: DT_RESOURCE
getResourceHandleVal(int) - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_RESOURCE
getResourceHandleValBuilder(int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_RESOURCE
getResourceHandleValBuilderList() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_RESOURCE
getResourceHandleValCount() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_RESOURCE
getResourceHandleValCount() - Method in class org.tensorflow.proto.framework.TensorProto: DT_RESOURCE
getResourceHandleValCount() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_RESOURCE
getResourceHandleValList() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_RESOURCE
getResourceHandleValList() - Method in class org.tensorflow.proto.framework.TensorProto: DT_RESOURCE
getResourceHandleValList() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_RESOURCE
getResourceHandleValOrBuilder(int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_RESOURCE
getResourceHandleValOrBuilder(int) - Method in class org.tensorflow.proto.framework.TensorProto: DT_RESOURCE
getResourceHandleValOrBuilder(int) - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_RESOURCE
getResourceHandleValOrBuilderList() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_RESOURCE
getResourceHandleValOrBuilderList() - Method in class org.tensorflow.proto.framework.TensorProto: DT_RESOURCE
getResourceHandleValOrBuilderList() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_RESOURCE
getResourceOrBuilder() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedResource resource = 10;
getResourceOrBuilder() - Method in class org.tensorflow.proto.framework.SavedObject: .tensorflow.SavedResource resource = 10;
getResourceOrBuilder() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: .tensorflow.SavedResource resource = 10;
getRestoreFunction() - Method in class org.tensorflow.proto.framework.SaveableObject.Builder: int32 restore_function = 3;
getRestoreFunction() - Method in class org.tensorflow.proto.framework.SaveableObject: int32 restore_function = 3;
getRestoreFunction() - Method in interface org.tensorflow.proto.framework.SaveableObjectOrBuilder: int32 restore_function = 3;
getRestoreOpName() - Method in class org.tensorflow.proto.util.SaverDef.Builder: The operation to run when restoring a model checkpoint.
getRestoreOpName() - Method in class org.tensorflow.proto.util.SaverDef: The operation to run when restoring a model checkpoint.
getRestoreOpName() - Method in interface org.tensorflow.proto.util.SaverDefOrBuilder: The operation to run when restoring a model checkpoint.
getRestoreOpNameBytes() - Method in class org.tensorflow.proto.util.SaverDef.Builder: The operation to run when restoring a model checkpoint.
getRestoreOpNameBytes() - Method in class org.tensorflow.proto.util.SaverDef: The operation to run when restoring a model checkpoint.
getRestoreOpNameBytes() - Method in interface org.tensorflow.proto.util.SaverDefOrBuilder: The operation to run when restoring a model checkpoint.
getRet() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: Deprecated.
getRet() - Method in class org.tensorflow.proto.framework.FunctionDef: Deprecated.
getRet() - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: Deprecated.
getRetCount() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
getRetCount() - Method in class org.tensorflow.proto.framework.FunctionDef
getRetCount() - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRetMap() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRetMap() - Method in class org.tensorflow.proto.framework.FunctionDef: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRetMap() - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRetOrDefault(String, String) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRetOrDefault(String, String) - Method in class org.tensorflow.proto.framework.FunctionDef: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRetOrDefault(String, String) - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRetOrThrow(String) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRetOrThrow(String) - Method in class org.tensorflow.proto.framework.FunctionDef: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRetOrThrow(String) - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRewriteOptions() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: Options that control the type and amount of graph rewriting.
getRewriteOptions() - Method in class org.tensorflow.proto.framework.GraphOptions: Options that control the type and amount of graph rewriting.
getRewriteOptions() - Method in interface org.tensorflow.proto.framework.GraphOptionsOrBuilder: Options that control the type and amount of graph rewriting.
getRewriteOptionsBuilder() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: Options that control the type and amount of graph rewriting.
getRewriteOptionsOrBuilder() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: Options that control the type and amount of graph rewriting.
getRewriteOptionsOrBuilder() - Method in class org.tensorflow.proto.framework.GraphOptions: Options that control the type and amount of graph rewriting.
getRewriteOptionsOrBuilder() - Method in interface org.tensorflow.proto.framework.GraphOptionsOrBuilder: Options that control the type and amount of graph rewriting.
getRpcOptions() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Options that apply when this session uses the distributed runtime.
getRpcOptions() - Method in class org.tensorflow.proto.framework.ConfigProto: Options that apply when this session uses the distributed runtime.
getRpcOptions() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: Options that apply when this session uses the distributed runtime.
getRpcOptionsBuilder() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Options that apply when this session uses the distributed runtime.
getRpcOptionsOrBuilder() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Options that apply when this session uses the distributed runtime.
getRpcOptionsOrBuilder() - Method in class org.tensorflow.proto.framework.ConfigProto: Options that apply when this session uses the distributed runtime.
getRpcOptionsOrBuilder() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: Options that apply when this session uses the distributed runtime.
getRunConfiguration() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: Run-specific parameters (arguments, etc)
getRunConfiguration() - Method in class org.tensorflow.proto.util.testlog.TestResults: Run-specific parameters (arguments, etc)
getRunConfiguration() - Method in interface org.tensorflow.proto.util.testlog.TestResultsOrBuilder: Run-specific parameters (arguments, etc)
getRunConfigurationBuilder() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: Run-specific parameters (arguments, etc)
getRunConfigurationOrBuilder() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: Run-specific parameters (arguments, etc)
getRunConfigurationOrBuilder() - Method in class org.tensorflow.proto.util.testlog.TestResults: Run-specific parameters (arguments, etc)
getRunConfigurationOrBuilder() - Method in interface org.tensorflow.proto.util.testlog.TestResultsOrBuilder: Run-specific parameters (arguments, etc)
getRunHandlerPoolOptions() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder: .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
getRunHandlerPoolOptions() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental: .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
getRunHandlerPoolOptions() - Method in interface org.tensorflow.proto.framework.RunOptions.ExperimentalOrBuilder: .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
getRunHandlerPoolOptionsBuilder() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder: .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
getRunHandlerPoolOptionsOrBuilder() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder: .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
getRunHandlerPoolOptionsOrBuilder() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental: .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
getRunHandlerPoolOptionsOrBuilder() - Method in interface org.tensorflow.proto.framework.RunOptions.ExperimentalOrBuilder: .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
getRunId() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: Run ID that this snapshot corresponds to.
getRunId() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord: Run ID that this snapshot corresponds to.
getRunId() - Method in interface org.tensorflow.proto.data.experimental.SnapshotMetadataRecordOrBuilder: Run ID that this snapshot corresponds to.
getRunIdBytes() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: Run ID that this snapshot corresponds to.
getRunIdBytes() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord: Run ID that this snapshot corresponds to.
getRunIdBytes() - Method in interface org.tensorflow.proto.data.experimental.SnapshotMetadataRecordOrBuilder: Run ID that this snapshot corresponds to.
getRunMetadata() - Method in class org.tensorflow.proto.util.TaggedRunMetadata.Builder: Byte-encoded version of the `RunMetadata` proto in order to allow lazy deserialization.
getRunMetadata() - Method in class org.tensorflow.proto.util.TaggedRunMetadata: Byte-encoded version of the `RunMetadata` proto in order to allow lazy deserialization.
getRunMetadata() - Method in interface org.tensorflow.proto.util.TaggedRunMetadataOrBuilder: Byte-encoded version of the `RunMetadata` proto in order to allow lazy deserialization.
getRunMode() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: Used for differentiating between continuous and debug builds.
getRunMode() - Method in class org.tensorflow.proto.util.testlog.TestResults: Used for differentiating between continuous and debug builds.
getRunMode() - Method in interface org.tensorflow.proto.util.testlog.TestResultsOrBuilder: Used for differentiating between continuous and debug builds.
getRunModeBytes() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: Used for differentiating between continuous and debug builds.
getRunModeBytes() - Method in class org.tensorflow.proto.util.testlog.TestResults: Used for differentiating between continuous and debug builds.
getRunModeBytes() - Method in interface org.tensorflow.proto.util.testlog.TestResultsOrBuilder: Used for differentiating between continuous and debug builds.
getRunOptions() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Options that will be applied to each run.
getRunOptions() - Method in class org.tensorflow.proto.framework.CallableOptions: Options that will be applied to each run.
getRunOptions() - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: Options that will be applied to each run.
getRunOptionsBuilder() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Options that will be applied to each run.
getRunOptionsOrBuilder() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Options that will be applied to each run.
getRunOptionsOrBuilder() - Method in class org.tensorflow.proto.framework.CallableOptions: Options that will be applied to each run.
getRunOptionsOrBuilder() - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: Options that will be applied to each run.
getRunTime() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The amount of time the total run took (wall time in seconds)
getRunTime() - Method in class org.tensorflow.proto.util.testlog.TestResults: The amount of time the total run took (wall time in seconds)
getRunTime() - Method in interface org.tensorflow.proto.util.testlog.TestResultsOrBuilder: The amount of time the total run took (wall time in seconds)
getS() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "string"
getS() - Method in class org.tensorflow.proto.framework.AttrValue: "string"
getS(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(string)"
getS(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(string)"
getS(int) - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(string)"
getS() - Method in interface org.tensorflow.proto.framework.AttrValueOrBuilder: "string"
getS() - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: string s = 3;
getS() - Method in class org.tensorflow.proto.framework.FullTypeDef: string s = 3;
getS() - Method in interface org.tensorflow.proto.framework.FullTypeDefOrBuilder: string s = 3;
getSampleRate() - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder: Sample rate of the audio in Hz.
getSampleRate() - Method in class org.tensorflow.proto.framework.Summary.Audio: Sample rate of the audio in Hz.
getSampleRate() - Method in interface org.tensorflow.proto.framework.Summary.AudioOrBuilder: Sample rate of the audio in Hz.
getSaveableObjects() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Deprecated.
getSaveableObjects() - Method in class org.tensorflow.proto.framework.SavedObject: Deprecated.
getSaveableObjects() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: Deprecated.
getSaveableObjectsCount() - Method in class org.tensorflow.proto.framework.SavedObject.Builder
getSaveableObjectsCount() - Method in class org.tensorflow.proto.framework.SavedObject
getSaveableObjectsCount() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: map<string, .tensorflow.SaveableObject> saveable_objects = 11;
getSaveableObjectsMap() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: map<string, .tensorflow.SaveableObject> saveable_objects = 11;
getSaveableObjectsMap() - Method in class org.tensorflow.proto.framework.SavedObject: map<string, .tensorflow.SaveableObject> saveable_objects = 11;
getSaveableObjectsMap() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: map<string, .tensorflow.SaveableObject> saveable_objects = 11;
getSaveableObjectsOrDefault(String, SaveableObject) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: map<string, .tensorflow.SaveableObject> saveable_objects = 11;
getSaveableObjectsOrDefault(String, SaveableObject) - Method in class org.tensorflow.proto.framework.SavedObject: map<string, .tensorflow.SaveableObject> saveable_objects = 11;
getSaveableObjectsOrDefault(String, SaveableObject) - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: map<string, .tensorflow.SaveableObject> saveable_objects = 11;
getSaveableObjectsOrThrow(String) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: map<string, .tensorflow.SaveableObject> saveable_objects = 11;
getSaveableObjectsOrThrow(String) - Method in class org.tensorflow.proto.framework.SavedObject: map<string, .tensorflow.SaveableObject> saveable_objects = 11;
getSaveableObjectsOrThrow(String) - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: map<string, .tensorflow.SaveableObject> saveable_objects = 11;
getSavedModelSchemaVersion() - Method in class org.tensorflow.proto.framework.SavedModel.Builder: The schema version of the SavedModel instance.
getSavedModelSchemaVersion() - Method in class org.tensorflow.proto.framework.SavedModel: The schema version of the SavedModel instance.
getSavedModelSchemaVersion() - Method in interface org.tensorflow.proto.framework.SavedModelOrBuilder: The schema version of the SavedModel instance.
getSaveFunction() - Method in class org.tensorflow.proto.framework.SaveableObject.Builder: Node ids of concrete functions for saving and loading from a checkpoint.
getSaveFunction() - Method in class org.tensorflow.proto.framework.SaveableObject: Node ids of concrete functions for saving and loading from a checkpoint.
getSaveFunction() - Method in interface org.tensorflow.proto.framework.SaveableObjectOrBuilder: Node ids of concrete functions for saving and loading from a checkpoint.
getSaverDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: SaverDef.
getSaverDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef: SaverDef.
getSaverDef() - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: SaverDef.
getSaverDefBuilder() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: SaverDef.
getSaverDefOrBuilder() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: SaverDef.
getSaverDefOrBuilder() - Method in class org.tensorflow.proto.framework.MetaGraphDef: SaverDef.
getSaverDefOrBuilder() - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: SaverDef.
getSaveSliceInfoDef() - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Support for saving variables as slices of a larger variable.
getSaveSliceInfoDef() - Method in class org.tensorflow.proto.framework.VariableDef: Support for saving variables as slices of a larger variable.
getSaveSliceInfoDef() - Method in interface org.tensorflow.proto.framework.VariableDefOrBuilder: Support for saving variables as slices of a larger variable.
getSaveSliceInfoDefBuilder() - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Support for saving variables as slices of a larger variable.
getSaveSliceInfoDefOrBuilder() - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Support for saving variables as slices of a larger variable.
getSaveSliceInfoDefOrBuilder() - Method in class org.tensorflow.proto.framework.VariableDef: Support for saving variables as slices of a larger variable.
getSaveSliceInfoDefOrBuilder() - Method in interface org.tensorflow.proto.framework.VariableDefOrBuilder: Support for saving variables as slices of a larger variable.
getSaveTensorName() - Method in class org.tensorflow.proto.util.SaverDef.Builder: The operation to run when saving a model checkpoint.
getSaveTensorName() - Method in class org.tensorflow.proto.util.SaverDef: The operation to run when saving a model checkpoint.
getSaveTensorName() - Method in interface org.tensorflow.proto.util.SaverDefOrBuilder: The operation to run when saving a model checkpoint.
getSaveTensorNameBytes() - Method in class org.tensorflow.proto.util.SaverDef.Builder: The operation to run when saving a model checkpoint.
getSaveTensorNameBytes() - Method in class org.tensorflow.proto.util.SaverDef: The operation to run when saving a model checkpoint.
getSaveTensorNameBytes() - Method in interface org.tensorflow.proto.util.SaverDefOrBuilder: The operation to run when saving a model checkpoint.
getSBytes() - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: string s = 3;
getSBytes() - Method in class org.tensorflow.proto.framework.FullTypeDef: string s = 3;
getSBytes() - Method in interface org.tensorflow.proto.framework.FullTypeDefOrBuilder: string s = 3;
getScheduledMicros() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 scheduled_micros = 9;
getScheduledMicros() - Method in class org.tensorflow.proto.framework.NodeExecStats: int64 scheduled_micros = 9;
getScheduledMicros() - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: int64 scheduled_micros = 9;
getScheduledNanos() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 scheduled_nanos = 17;
getScheduledNanos() - Method in class org.tensorflow.proto.framework.NodeExecStats: int64 scheduled_nanos = 17;
getScheduledNanos() - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: int64 scheduled_nanos = 17;
getScomplexVal(int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_COMPLEX64.
getScomplexVal(int) - Method in class org.tensorflow.proto.framework.TensorProto: DT_COMPLEX64.
getScomplexVal(int) - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_COMPLEX64.
getScomplexValCount() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_COMPLEX64.
getScomplexValCount() - Method in class org.tensorflow.proto.framework.TensorProto: DT_COMPLEX64.
getScomplexValCount() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_COMPLEX64.
getScomplexValList() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_COMPLEX64.
getScomplexValList() - Method in class org.tensorflow.proto.framework.TensorProto: DT_COMPLEX64.
getScomplexValList() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_COMPLEX64.
getScopedAllocatorOptimization() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
getScopedAllocatorOptimization() - Method in class org.tensorflow.proto.framework.RewriterConfig: Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
getScopedAllocatorOptimization() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
getScopedAllocatorOptimizationValue() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
getScopedAllocatorOptimizationValue() - Method in class org.tensorflow.proto.framework.RewriterConfig: Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
getScopedAllocatorOptimizationValue() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
getScopedAllocatorOpts() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
getScopedAllocatorOpts() - Method in class org.tensorflow.proto.framework.RewriterConfig: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
getScopedAllocatorOpts() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
getScopedAllocatorOptsBuilder() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
getScopedAllocatorOptsOrBuilder() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
getScopedAllocatorOptsOrBuilder() - Method in class org.tensorflow.proto.framework.RewriterConfig: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
getScopedAllocatorOptsOrBuilder() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
getSCount() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(string)"
getSCount() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(string)"
getSCount() - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(string)"
getSerialIdentifier() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Unique serial number of the machine.
getSerialIdentifier() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration: Unique serial number of the machine.
getSerialIdentifier() - Method in interface org.tensorflow.proto.util.testlog.MachineConfigurationOrBuilder: Unique serial number of the machine.
getSerialIdentifierBytes() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Unique serial number of the machine.
getSerialIdentifierBytes() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration: Unique serial number of the machine.
getSerialIdentifierBytes() - Method in interface org.tensorflow.proto.util.testlog.MachineConfigurationOrBuilder: Unique serial number of the machine.
getSerializedSize() - Method in class org.tensorflow.proto.data.AutotuneOptions
getSerializedSize() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
getSerializedSize() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
getSerializedSize() - Method in class org.tensorflow.proto.data.DistributeOptions
getSerializedSize() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
getSerializedSize() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
getSerializedSize() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
getSerializedSize() - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord
getSerializedSize() - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
getSerializedSize() - Method in class org.tensorflow.proto.data.experimental.TensorMetadata
getSerializedSize() - Method in class org.tensorflow.proto.data.model.ModelProto
getSerializedSize() - Method in class org.tensorflow.proto.data.model.ModelProto.Node
getSerializedSize() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
getSerializedSize() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
getSerializedSize() - Method in class org.tensorflow.proto.data.OptimizationOptions
getSerializedSize() - Method in class org.tensorflow.proto.data.Options
getSerializedSize() - Method in class org.tensorflow.proto.data.ThreadingOptions
getSerializedSize() - Method in class org.tensorflow.proto.distruntime.ClusterDef
getSerializedSize() - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
getSerializedSize() - Method in class org.tensorflow.proto.distruntime.JobDef
getSerializedSize() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters
getSerializedSize() - Method in class org.tensorflow.proto.distruntime.ServerDef
getSerializedSize() - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
getSerializedSize() - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
getSerializedSize() - Method in class org.tensorflow.proto.example.BytesList
getSerializedSize() - Method in class org.tensorflow.proto.example.Example
getSerializedSize() - Method in class org.tensorflow.proto.example.ExampleParserConfiguration
getSerializedSize() - Method in class org.tensorflow.proto.example.Feature
getSerializedSize() - Method in class org.tensorflow.proto.example.FeatureConfiguration
getSerializedSize() - Method in class org.tensorflow.proto.example.FeatureList
getSerializedSize() - Method in class org.tensorflow.proto.example.FeatureLists
getSerializedSize() - Method in class org.tensorflow.proto.example.Features
getSerializedSize() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto
getSerializedSize() - Method in class org.tensorflow.proto.example.FloatList
getSerializedSize() - Method in class org.tensorflow.proto.example.Int64List
getSerializedSize() - Method in class org.tensorflow.proto.example.SequenceExample
getSerializedSize() - Method in class org.tensorflow.proto.example.VarLenFeatureProto
getSerializedSize() - Method in class org.tensorflow.proto.framework.AllocationDescription
getSerializedSize() - Method in class org.tensorflow.proto.framework.AllocationRecord
getSerializedSize() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
getSerializedSize() - Method in class org.tensorflow.proto.framework.ApiDef.Arg
getSerializedSize() - Method in class org.tensorflow.proto.framework.ApiDef.Attr
getSerializedSize() - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint
getSerializedSize() - Method in class org.tensorflow.proto.framework.ApiDef
getSerializedSize() - Method in class org.tensorflow.proto.framework.ApiDefs
getSerializedSize() - Method in class org.tensorflow.proto.framework.AssetFileDef
getSerializedSize() - Method in class org.tensorflow.proto.framework.AttrValue
getSerializedSize() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue
getSerializedSize() - Method in class org.tensorflow.proto.framework.AutoParallelOptions
getSerializedSize() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
getSerializedSize() - Method in class org.tensorflow.proto.framework.CallableOptions
getSerializedSize() - Method in class org.tensorflow.proto.framework.CapturedTensor
getSerializedSize() - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList
getSerializedSize() - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList
getSerializedSize() - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList
getSerializedSize() - Method in class org.tensorflow.proto.framework.CollectionDef
getSerializedSize() - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List
getSerializedSize() - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList
getSerializedSize() - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
getSerializedSize() - Method in class org.tensorflow.proto.framework.CondContextDef
getSerializedSize() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental
getSerializedSize() - Method in class org.tensorflow.proto.framework.ConfigProto
getSerializedSize() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef
getSerializedSize() - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
getSerializedSize() - Method in class org.tensorflow.proto.framework.CostGraphDef
getSerializedSize() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node
getSerializedSize() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
getSerializedSize() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
getSerializedSize() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile
getSerializedSize() - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles
getSerializedSize() - Method in class org.tensorflow.proto.framework.DebugOptions
getSerializedSize() - Method in class org.tensorflow.proto.framework.DebugTensorWatch
getSerializedSize() - Method in class org.tensorflow.proto.framework.DeviceAttributes
getSerializedSize() - Method in class org.tensorflow.proto.framework.DeviceLocality
getSerializedSize() - Method in class org.tensorflow.proto.framework.DeviceProperties
getSerializedSize() - Method in class org.tensorflow.proto.framework.DeviceStepStats
getSerializedSize() - Method in class org.tensorflow.proto.framework.DictValue
getSerializedSize() - Method in class org.tensorflow.proto.framework.FullTypeDef
getSerializedSize() - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
getSerializedSize() - Method in class org.tensorflow.proto.framework.FunctionDef
getSerializedSize() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary
getSerializedSize() - Method in class org.tensorflow.proto.framework.FunctionSpec
getSerializedSize() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental
getSerializedSize() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
getSerializedSize() - Method in class org.tensorflow.proto.framework.GPUOptions
getSerializedSize() - Method in class org.tensorflow.proto.framework.GradientDef
getSerializedSize() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
getSerializedSize() - Method in class org.tensorflow.proto.framework.GraphDebugInfo
getSerializedSize() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
getSerializedSize() - Method in class org.tensorflow.proto.framework.GraphDef
getSerializedSize() - Method in class org.tensorflow.proto.framework.GraphOptions
getSerializedSize() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
getSerializedSize() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
getSerializedSize() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
getSerializedSize() - Method in class org.tensorflow.proto.framework.GraphTransferInfo
getSerializedSize() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
getSerializedSize() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput
getSerializedSize() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
getSerializedSize() - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
getSerializedSize() - Method in class org.tensorflow.proto.framework.HistogramProto
getSerializedSize() - Method in class org.tensorflow.proto.framework.InterconnectLink
getSerializedSize() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
getSerializedSize() - Method in class org.tensorflow.proto.framework.KernelDef
getSerializedSize() - Method in class org.tensorflow.proto.framework.KernelList
getSerializedSize() - Method in class org.tensorflow.proto.framework.ListValue
getSerializedSize() - Method in class org.tensorflow.proto.framework.LocalLinks
getSerializedSize() - Method in class org.tensorflow.proto.framework.LogNormalDistribution
getSerializedSize() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
getSerializedSize() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
getSerializedSize() - Method in class org.tensorflow.proto.framework.MemoryLogStep
getSerializedSize() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
getSerializedSize() - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
getSerializedSize() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
getSerializedSize() - Method in class org.tensorflow.proto.framework.MemoryStats
getSerializedSize() - Method in class org.tensorflow.proto.framework.MetaGraphDef
getSerializedSize() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
getSerializedSize() - Method in class org.tensorflow.proto.framework.NameAttrList
getSerializedSize() - Method in class org.tensorflow.proto.framework.NamedDevice
getSerializedSize() - Method in class org.tensorflow.proto.framework.NamedTensorProto
getSerializedSize() - Method in class org.tensorflow.proto.framework.NamedTupleValue
getSerializedSize() - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
getSerializedSize() - Method in class org.tensorflow.proto.framework.NodeDef
getSerializedSize() - Method in class org.tensorflow.proto.framework.NodeExecStats
getSerializedSize() - Method in class org.tensorflow.proto.framework.NodeOutput
getSerializedSize() - Method in class org.tensorflow.proto.framework.NoneValue
getSerializedSize() - Method in class org.tensorflow.proto.framework.NormalDistribution
getSerializedSize() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef
getSerializedSize() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef
getSerializedSize() - Method in class org.tensorflow.proto.framework.OpDef
getSerializedSize() - Method in class org.tensorflow.proto.framework.OpDeprecation
getSerializedSize() - Method in class org.tensorflow.proto.framework.OpInfo
getSerializedSize() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
getSerializedSize() - Method in class org.tensorflow.proto.framework.OpList
getSerializedSize() - Method in class org.tensorflow.proto.framework.OpPerformance
getSerializedSize() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
getSerializedSize() - Method in class org.tensorflow.proto.framework.OpPerformanceList
getSerializedSize() - Method in class org.tensorflow.proto.framework.OptimizerOptions
getSerializedSize() - Method in class org.tensorflow.proto.framework.PairValue
getSerializedSize() - Method in class org.tensorflow.proto.framework.QueueRunnerDef
getSerializedSize() - Method in class org.tensorflow.proto.framework.ReaderBaseState
getSerializedSize() - Method in class org.tensorflow.proto.framework.RegisteredGradient
getSerializedSize() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle
getSerializedSize() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
getSerializedSize() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
getSerializedSize() - Method in class org.tensorflow.proto.framework.ResourceHandleProto
getSerializedSize() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
getSerializedSize() - Method in class org.tensorflow.proto.framework.RewriterConfig
getSerializedSize() - Method in class org.tensorflow.proto.framework.RPCOptions
getSerializedSize() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
getSerializedSize() - Method in class org.tensorflow.proto.framework.RunMetadata
getSerializedSize() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental
getSerializedSize() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
getSerializedSize() - Method in class org.tensorflow.proto.framework.RunOptions
getSerializedSize() - Method in class org.tensorflow.proto.framework.SaveableObject
getSerializedSize() - Method in class org.tensorflow.proto.framework.SavedAsset
getSerializedSize() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
getSerializedSize() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction
getSerializedSize() - Method in class org.tensorflow.proto.framework.SavedConstant
getSerializedSize() - Method in class org.tensorflow.proto.framework.SavedFunction
getSerializedSize() - Method in class org.tensorflow.proto.framework.SavedModel
getSerializedSize() - Method in class org.tensorflow.proto.framework.SavedObject
getSerializedSize() - Method in class org.tensorflow.proto.framework.SavedObjectGraph
getSerializedSize() - Method in class org.tensorflow.proto.framework.SavedResource
getSerializedSize() - Method in class org.tensorflow.proto.framework.SavedUserObject
getSerializedSize() - Method in class org.tensorflow.proto.framework.SavedVariable
getSerializedSize() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef
getSerializedSize() - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
getSerializedSize() - Method in class org.tensorflow.proto.framework.SessionInfo
getSerializedSize() - Method in class org.tensorflow.proto.framework.SessionMetadata
getSerializedSize() - Method in class org.tensorflow.proto.framework.SignatureDef
getSerializedSize() - Method in class org.tensorflow.proto.framework.Status.DerivedStatus
getSerializedSize() - Method in class org.tensorflow.proto.framework.StepStats
getSerializedSize() - Method in class org.tensorflow.proto.framework.StructuredValue
getSerializedSize() - Method in class org.tensorflow.proto.framework.Summary.Audio
getSerializedSize() - Method in class org.tensorflow.proto.framework.Summary
getSerializedSize() - Method in class org.tensorflow.proto.framework.Summary.Image
getSerializedSize() - Method in class org.tensorflow.proto.framework.Summary.Value
getSerializedSize() - Method in class org.tensorflow.proto.framework.SummaryDescription
getSerializedSize() - Method in class org.tensorflow.proto.framework.SummaryMetadata
getSerializedSize() - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
getSerializedSize() - Method in class org.tensorflow.proto.framework.TensorConnection
getSerializedSize() - Method in class org.tensorflow.proto.framework.TensorDescription
getSerializedSize() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
getSerializedSize() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
getSerializedSize() - Method in class org.tensorflow.proto.framework.TensorInfo
getSerializedSize() - Method in class org.tensorflow.proto.framework.TensorProto
getSerializedSize() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
getSerializedSize() - Method in class org.tensorflow.proto.framework.TensorShapeProto
getSerializedSize() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
getSerializedSize() - Method in class org.tensorflow.proto.framework.TensorSliceProto
getSerializedSize() - Method in class org.tensorflow.proto.framework.TensorSpecProto
getSerializedSize() - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
getSerializedSize() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph
getSerializedSize() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
getSerializedSize() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
getSerializedSize() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
getSerializedSize() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
getSerializedSize() - Method in class org.tensorflow.proto.framework.TupleValue
getSerializedSize() - Method in class org.tensorflow.proto.framework.TypeSpecProto
getSerializedSize() - Method in class org.tensorflow.proto.framework.ValuesDef
getSerializedSize() - Method in class org.tensorflow.proto.framework.VariableDef
getSerializedSize() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto
getSerializedSize() - Method in class org.tensorflow.proto.framework.VerifierConfig
getSerializedSize() - Method in class org.tensorflow.proto.framework.VersionDef
getSerializedSize() - Method in class org.tensorflow.proto.framework.WhileContextDef
getSerializedSize() - Method in class org.tensorflow.proto.profiler.ProfileOptions
getSerializedSize() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
getSerializedSize() - Method in class org.tensorflow.proto.profiler.XEvent
getSerializedSize() - Method in class org.tensorflow.proto.profiler.XEventMetadata
getSerializedSize() - Method in class org.tensorflow.proto.profiler.XLine
getSerializedSize() - Method in class org.tensorflow.proto.profiler.XPlane
getSerializedSize() - Method in class org.tensorflow.proto.profiler.XSpace
getSerializedSize() - Method in class org.tensorflow.proto.profiler.XStat
getSerializedSize() - Method in class org.tensorflow.proto.profiler.XStatMetadata
getSerializedSize() - Method in class org.tensorflow.proto.util.BinSummary
getSerializedSize() - Method in class org.tensorflow.proto.util.BundleEntryProto
getSerializedSize() - Method in class org.tensorflow.proto.util.BundleHeaderProto
getSerializedSize() - Method in class org.tensorflow.proto.util.CodeLocation
getSerializedSize() - Method in class org.tensorflow.proto.util.DebugEvent
getSerializedSize() - Method in class org.tensorflow.proto.util.DebuggedDevice
getSerializedSize() - Method in class org.tensorflow.proto.util.DebuggedGraph
getSerializedSize() - Method in class org.tensorflow.proto.util.DebugMetadata
getSerializedSize() - Method in class org.tensorflow.proto.util.Event
getSerializedSize() - Method in class org.tensorflow.proto.util.Execution
getSerializedSize() - Method in class org.tensorflow.proto.util.GraphExecutionTrace
getSerializedSize() - Method in class org.tensorflow.proto.util.GraphOpCreation
getSerializedSize() - Method in class org.tensorflow.proto.util.LogMessage: Deprecated.
getSerializedSize() - Method in class org.tensorflow.proto.util.MemAllocatorStats
getSerializedSize() - Method in class org.tensorflow.proto.util.MemChunk
getSerializedSize() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
getSerializedSize() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
getSerializedSize() - Method in class org.tensorflow.proto.util.MemoryDump
getSerializedSize() - Method in class org.tensorflow.proto.util.RequestedExitCode
getSerializedSize() - Method in class org.tensorflow.proto.util.SavedSlice
getSerializedSize() - Method in class org.tensorflow.proto.util.SavedSliceMeta
getSerializedSize() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta
getSerializedSize() - Method in class org.tensorflow.proto.util.SavedTensorSlices
getSerializedSize() - Method in class org.tensorflow.proto.util.SaverDef
getSerializedSize() - Method in class org.tensorflow.proto.util.SessionLog
getSerializedSize() - Method in class org.tensorflow.proto.util.SnapShot
getSerializedSize() - Method in class org.tensorflow.proto.util.SourceFile
getSerializedSize() - Method in class org.tensorflow.proto.util.StackFrameWithId
getSerializedSize() - Method in class org.tensorflow.proto.util.TaggedRunMetadata
getSerializedSize() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
getSerializedSize() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
getSerializedSize() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
getSerializedSize() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration
getSerializedSize() - Method in class org.tensorflow.proto.util.testlog.CommitId
getSerializedSize() - Method in class org.tensorflow.proto.util.testlog.CPUInfo
getSerializedSize() - Method in class org.tensorflow.proto.util.testlog.EntryValue
getSerializedSize() - Method in class org.tensorflow.proto.util.testlog.GPUInfo
getSerializedSize() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration
getSerializedSize() - Method in class org.tensorflow.proto.util.testlog.MemoryInfo
getSerializedSize() - Method in class org.tensorflow.proto.util.testlog.MetricEntry
getSerializedSize() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo
getSerializedSize() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration
getSerializedSize() - Method in class org.tensorflow.proto.util.testlog.TestResults
getSerializedSize() - Method in class org.tensorflow.proto.util.WatchdogConfig
getSerializedSize() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
getSerializedSize() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
getSerializedUserProto() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: The user-generated proto storing metadata for this object, to be passed to the registered classes's _deserialize_from_proto method when this object is loaded from the SavedModel.
getSerializedUserProto() - Method in class org.tensorflow.proto.framework.SavedObject: The user-generated proto storing metadata for this object, to be passed to the registered classes's _deserialize_from_proto method when this object is loaded from the SavedModel.
getSerializedUserProto() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: The user-generated proto storing metadata for this object, to be passed to the registered classes's _deserialize_from_proto method when this object is loaded from the SavedModel.
getSerializedUserProtoBuilder() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: The user-generated proto storing metadata for this object, to be passed to the registered classes's _deserialize_from_proto method when this object is loaded from the SavedModel.
getSerializedUserProtoOrBuilder() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: The user-generated proto storing metadata for this object, to be passed to the registered classes's _deserialize_from_proto method when this object is loaded from the SavedModel.
getSerializedUserProtoOrBuilder() - Method in class org.tensorflow.proto.framework.SavedObject: The user-generated proto storing metadata for this object, to be passed to the registered classes's _deserialize_from_proto method when this object is loaded from the SavedModel.
getSerializedUserProtoOrBuilder() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: The user-generated proto storing metadata for this object, to be passed to the registered classes's _deserialize_from_proto method when this object is loaded from the SavedModel.
getServiceAddresses(int) - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder: List of servers to profile.
getServiceAddresses(int) - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions: List of servers to profile.
getServiceAddresses(int) - Method in interface org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptionsOrBuilder: List of servers to profile.
getServiceAddressesBytes(int) - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder: List of servers to profile.
getServiceAddressesBytes(int) - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions: List of servers to profile.
getServiceAddressesBytes(int) - Method in interface org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptionsOrBuilder: List of servers to profile.
getServiceAddressesCount() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder: List of servers to profile.
getServiceAddressesCount() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions: List of servers to profile.
getServiceAddressesCount() - Method in interface org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptionsOrBuilder: List of servers to profile.
getServiceAddressesList() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder: List of servers to profile.
getServiceAddressesList() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions: List of servers to profile.
getServiceAddressesList() - Method in interface org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptionsOrBuilder: List of servers to profile.
getSessionCreationTimestampNs() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder: Unix timestamp of when the session was started.
getSessionCreationTimestampNs() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions: Unix timestamp of when the session was started.
getSessionCreationTimestampNs() - Method in interface org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptionsOrBuilder: Unix timestamp of when the session was started.
GetSessionHandle - Class in org.tensorflow.op.core: Store the input tensor in the state of the current session.
GetSessionHandle(Operation) - Constructor for class org.tensorflow.op.core.GetSessionHandle
getSessionHandle(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Store the input tensor in the state of the current session.
GetSessionHandle.Inputs - Class in org.tensorflow.op.core
getSessionInfo() - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Information about the session configs.
getSessionInfo() - Method in class org.tensorflow.proto.framework.OpInfo: Information about the session configs.
getSessionInfo() - Method in interface org.tensorflow.proto.framework.OpInfoOrBuilder: Information about the session configs.
getSessionInfo() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: Deprecated.
getSessionInfo() - Method in class org.tensorflow.proto.framework.OpPerformance: Deprecated.
getSessionInfo() - Method in interface org.tensorflow.proto.framework.OpPerformanceOrBuilder: Deprecated.
getSessionInfoBuilder() - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Information about the session configs.
getSessionInfoBuilder() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: Deprecated.
getSessionInfoOrBuilder() - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Information about the session configs.
getSessionInfoOrBuilder() - Method in class org.tensorflow.proto.framework.OpInfo: Information about the session configs.
getSessionInfoOrBuilder() - Method in interface org.tensorflow.proto.framework.OpInfoOrBuilder: Information about the session configs.
getSessionInfoOrBuilder() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: Deprecated.
getSessionInfoOrBuilder() - Method in class org.tensorflow.proto.framework.OpPerformance: Deprecated.
getSessionInfoOrBuilder() - Method in interface org.tensorflow.proto.framework.OpPerformanceOrBuilder: Deprecated.
getSessionInterOpThreadPool(int) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPool(int) - Method in class org.tensorflow.proto.framework.ConfigProto: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPool(int) - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolBuilder(int) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolBuilderList() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolCount() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolCount() - Method in class org.tensorflow.proto.framework.ConfigProto: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolCount() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolList() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolList() - Method in class org.tensorflow.proto.framework.ConfigProto: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolList() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolOrBuilder(int) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolOrBuilder(int) - Method in class org.tensorflow.proto.framework.ConfigProto: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolOrBuilder(int) - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolOrBuilderList() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolOrBuilderList() - Method in class org.tensorflow.proto.framework.ConfigProto: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolOrBuilderList() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionLog() - Method in class org.tensorflow.proto.util.Event.Builder: The state of the session which can be used for restarting after crashes.
getSessionLog() - Method in class org.tensorflow.proto.util.Event: The state of the session which can be used for restarting after crashes.
getSessionLog() - Method in interface org.tensorflow.proto.util.EventOrBuilder: The state of the session which can be used for restarting after crashes.
getSessionLogBuilder() - Method in class org.tensorflow.proto.util.Event.Builder: The state of the session which can be used for restarting after crashes.
getSessionLogOrBuilder() - Method in class org.tensorflow.proto.util.Event.Builder: The state of the session which can be used for restarting after crashes.
getSessionLogOrBuilder() - Method in class org.tensorflow.proto.util.Event: The state of the session which can be used for restarting after crashes.
getSessionLogOrBuilder() - Method in interface org.tensorflow.proto.util.EventOrBuilder: The state of the session which can be used for restarting after crashes.
getSessionMetadata() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Metadata about the session.
getSessionMetadata() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental: Metadata about the session.
getSessionMetadata() - Method in interface org.tensorflow.proto.framework.ConfigProto.ExperimentalOrBuilder: Metadata about the session.
getSessionMetadataBuilder() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Metadata about the session.
getSessionMetadataOrBuilder() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Metadata about the session.
getSessionMetadataOrBuilder() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental: Metadata about the session.
getSessionMetadataOrBuilder() - Method in interface org.tensorflow.proto.framework.ConfigProto.ExperimentalOrBuilder: Metadata about the session.
GetSessionTensor<T extends TType> - Class in org.tensorflow.op.core: Get the value of the tensor specified by its handle.
GetSessionTensor(Operation) - Constructor for class org.tensorflow.op.core.GetSessionTensor
getSessionTensor(Operand<TString>, Class<T>) - Method in class org.tensorflow.op.Ops: Get the value of the tensor specified by its handle.
GetSessionTensor.Inputs - Class in org.tensorflow.op.core
getShape() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in interface org.tensorflow.proto.example.FixedLenFeatureProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "shape"
getShape() - Method in class org.tensorflow.proto.framework.AttrValue: "shape"
getShape(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(shape)"
getShape(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(shape)"
getShape(int) - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(shape)"
getShape() - Method in interface org.tensorflow.proto.framework.AttrValueOrBuilder: "shape"
getShape() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in interface org.tensorflow.proto.framework.BoundedTensorSpecProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.TensorShapeProto shape = 3;
getShape() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo: .tensorflow.TensorShapeProto shape = 3;
getShape() - Method in interface org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfoOrBuilder: .tensorflow.TensorShapeProto shape = 3;
getShape(int) - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder: repeated int64 shape = 3;
getShape(int) - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo: repeated int64 shape = 3;
getShape(int) - Method in interface org.tensorflow.proto.framework.GraphTransferConstNodeInfoOrBuilder: repeated int64 shape = 3;
getShape(int) - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder: repeated int64 shape = 2;
getShape(int) - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo: repeated int64 shape = 2;
getShape(int) - Method in interface org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfoOrBuilder: repeated int64 shape = 2;
getShape(int) - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder: repeated int64 shape = 2;
getShape(int) - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo: repeated int64 shape = 2;
getShape(int) - Method in interface org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfoOrBuilder: repeated int64 shape = 2;
getShape() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in interface org.tensorflow.proto.framework.OpInfo.TensorPropertiesOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in interface org.tensorflow.proto.framework.ResourceDtypeAndShapeOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in interface org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShapeOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.framework.SavedVariable: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in interface org.tensorflow.proto.framework.SavedVariableOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.framework.TensorDescription.Builder: Shape of the tensor.
getShape() - Method in class org.tensorflow.proto.framework.TensorDescription: Shape of the tensor.
getShape() - Method in interface org.tensorflow.proto.framework.TensorDescriptionOrBuilder: Shape of the tensor.
getShape() - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.framework.TensorSpecProto: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in interface org.tensorflow.proto.framework.TensorSpecProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.util.BundleEntryProto: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in interface org.tensorflow.proto.util.BundleEntryProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Shape of the tensor
getShape() - Method in class org.tensorflow.proto.util.SavedSliceMeta: Shape of the tensor
getShape() - Method in interface org.tensorflow.proto.util.SavedSliceMetaOrBuilder: Shape of the tensor
getShapeBuilder() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeBuilder() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "shape"
getShapeBuilder(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(shape)"
getShapeBuilder() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeBuilder() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.TensorShapeProto shape = 3;
getShapeBuilder() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeBuilder() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeBuilder() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeBuilder() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeBuilder() - Method in class org.tensorflow.proto.framework.TensorDescription.Builder: Shape of the tensor.
getShapeBuilder() - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeBuilder() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeBuilder() - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Shape of the tensor
getShapeBuilderList() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(shape)"
getShapeCount() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(shape)"
getShapeCount() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(shape)"
getShapeCount() - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(shape)"
getShapeCount() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder: repeated int64 shape = 3;
getShapeCount() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo: repeated int64 shape = 3;
getShapeCount() - Method in interface org.tensorflow.proto.framework.GraphTransferConstNodeInfoOrBuilder: repeated int64 shape = 3;
getShapeCount() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder: repeated int64 shape = 2;
getShapeCount() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo: repeated int64 shape = 2;
getShapeCount() - Method in interface org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfoOrBuilder: repeated int64 shape = 2;
getShapeCount() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder: repeated int64 shape = 2;
getShapeCount() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo: repeated int64 shape = 2;
getShapeCount() - Method in interface org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfoOrBuilder: repeated int64 shape = 2;
getShapeList() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(shape)"
getShapeList() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(shape)"
getShapeList() - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(shape)"
getShapeList() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder: repeated int64 shape = 3;
getShapeList() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo: repeated int64 shape = 3;
getShapeList() - Method in interface org.tensorflow.proto.framework.GraphTransferConstNodeInfoOrBuilder: repeated int64 shape = 3;
getShapeList() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder: repeated int64 shape = 2;
getShapeList() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo: repeated int64 shape = 2;
getShapeList() - Method in interface org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfoOrBuilder: repeated int64 shape = 2;
getShapeList() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder: repeated int64 shape = 2;
getShapeList() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo: repeated int64 shape = 2;
getShapeList() - Method in interface org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfoOrBuilder: repeated int64 shape = 2;
getShapeOptimization() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Shape optimizations (default is ON) Simplify computations made on shapes.
getShapeOptimization() - Method in class org.tensorflow.proto.framework.RewriterConfig: Shape optimizations (default is ON) Simplify computations made on shapes.
getShapeOptimization() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Shape optimizations (default is ON) Simplify computations made on shapes.
getShapeOptimizationValue() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Shape optimizations (default is ON) Simplify computations made on shapes.
getShapeOptimizationValue() - Method in class org.tensorflow.proto.framework.RewriterConfig: Shape optimizations (default is ON) Simplify computations made on shapes.
getShapeOptimizationValue() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Shape optimizations (default is ON) Simplify computations made on shapes.
getShapeOrBuilder() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in interface org.tensorflow.proto.example.FixedLenFeatureProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "shape"
getShapeOrBuilder() - Method in class org.tensorflow.proto.framework.AttrValue: "shape"
getShapeOrBuilder(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(shape)"
getShapeOrBuilder(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(shape)"
getShapeOrBuilder(int) - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(shape)"
getShapeOrBuilder() - Method in interface org.tensorflow.proto.framework.AttrValueOrBuilder: "shape"
getShapeOrBuilder() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in interface org.tensorflow.proto.framework.BoundedTensorSpecProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.TensorShapeProto shape = 3;
getShapeOrBuilder() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo: .tensorflow.TensorShapeProto shape = 3;
getShapeOrBuilder() - Method in interface org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfoOrBuilder: .tensorflow.TensorShapeProto shape = 3;
getShapeOrBuilder() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in interface org.tensorflow.proto.framework.OpInfo.TensorPropertiesOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in interface org.tensorflow.proto.framework.ResourceDtypeAndShapeOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in interface org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShapeOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.framework.SavedVariable: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in interface org.tensorflow.proto.framework.SavedVariableOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.framework.TensorDescription.Builder: Shape of the tensor.
getShapeOrBuilder() - Method in class org.tensorflow.proto.framework.TensorDescription: Shape of the tensor.
getShapeOrBuilder() - Method in interface org.tensorflow.proto.framework.TensorDescriptionOrBuilder: Shape of the tensor.
getShapeOrBuilder() - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.framework.TensorSpecProto: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in interface org.tensorflow.proto.framework.TensorSpecProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.util.BundleEntryProto: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in interface org.tensorflow.proto.util.BundleEntryProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Shape of the tensor
getShapeOrBuilder() - Method in class org.tensorflow.proto.util.SavedSliceMeta: Shape of the tensor
getShapeOrBuilder() - Method in interface org.tensorflow.proto.util.SavedSliceMetaOrBuilder: Shape of the tensor
getShapeOrBuilderList() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(shape)"
getShapeOrBuilderList() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(shape)"
getShapeOrBuilderList() - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(shape)"
getShapesOutputTensorName() - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder: string shapes_output_tensor_name = 4;
getShapesOutputTensorName() - Method in class org.tensorflow.proto.example.VarLenFeatureProto: string shapes_output_tensor_name = 4;
getShapesOutputTensorName() - Method in interface org.tensorflow.proto.example.VarLenFeatureProtoOrBuilder: string shapes_output_tensor_name = 4;
getShapesOutputTensorNameBytes() - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder: string shapes_output_tensor_name = 4;
getShapesOutputTensorNameBytes() - Method in class org.tensorflow.proto.example.VarLenFeatureProto: string shapes_output_tensor_name = 4;
getShapesOutputTensorNameBytes() - Method in interface org.tensorflow.proto.example.VarLenFeatureProtoOrBuilder: string shapes_output_tensor_name = 4;
getSharded() - Method in class org.tensorflow.proto.util.SaverDef.Builder: Shard the save files, one per device that has Variable nodes.
getSharded() - Method in class org.tensorflow.proto.util.SaverDef: Shard the save files, one per device that has Variable nodes.
getSharded() - Method in interface org.tensorflow.proto.util.SaverDefOrBuilder: Shard the save files, one per device that has Variable nodes.
getShardId() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
getShardId() - Method in class org.tensorflow.proto.util.BundleEntryProto: The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
getShardId() - Method in interface org.tensorflow.proto.util.BundleEntryProtoOrBuilder: The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
getShardingPolicy() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder: .tensorflow.data.ProcessingModeDef.ShardingPolicy sharding_policy = 1;
getShardingPolicy() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef: .tensorflow.data.ProcessingModeDef.ShardingPolicy sharding_policy = 1;
getShardingPolicy() - Method in interface org.tensorflow.proto.data.DataService.ProcessingModeDefOrBuilder: .tensorflow.data.ProcessingModeDef.ShardingPolicy sharding_policy = 1;
getShardingPolicyValue() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder: .tensorflow.data.ProcessingModeDef.ShardingPolicy sharding_policy = 1;
getShardingPolicyValue() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef: .tensorflow.data.ProcessingModeDef.ShardingPolicy sharding_policy = 1;
getShardingPolicyValue() - Method in interface org.tensorflow.proto.data.DataService.ProcessingModeDefOrBuilder: .tensorflow.data.ProcessingModeDef.ShardingPolicy sharding_policy = 1;
getShareClusterDevicesInSession() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: When true, WorkerSessions are created with device attributes from the full cluster.
getShareClusterDevicesInSession() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: This was promoted to a non-experimental API.
getShareClusterDevicesInSession() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental: This was promoted to a non-experimental API.
getShareClusterDevicesInSession() - Method in interface org.tensorflow.proto.framework.ConfigProto.ExperimentalOrBuilder: This was promoted to a non-experimental API.
getShareClusterDevicesInSession() - Method in class org.tensorflow.proto.framework.ConfigProto: When true, WorkerSessions are created with device attributes from the full cluster.
getShareClusterDevicesInSession() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: When true, WorkerSessions are created with device attributes from the full cluster.
getSharedMemorySizePerMultiprocessor() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Shared memory size per multiprocessor in bytes.
getSharedMemorySizePerMultiprocessor() - Method in class org.tensorflow.proto.framework.DeviceProperties: Shared memory size per multiprocessor in bytes.
getSharedMemorySizePerMultiprocessor() - Method in interface org.tensorflow.proto.framework.DevicePropertiesOrBuilder: Shared memory size per multiprocessor in bytes.
getShareSessionStateInClusterspecPropagation() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: In the following, session state means the value of a variable, elements in a hash table, or any other resource, accessible by worker sessions held by a TF server.
getShareSessionStateInClusterspecPropagation() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental: In the following, session state means the value of a variable, elements in a hash table, or any other resource, accessible by worker sessions held by a TF server.
getShareSessionStateInClusterspecPropagation() - Method in interface org.tensorflow.proto.framework.ConfigProto.ExperimentalOrBuilder: In the following, session state means the value of a variable, elements in a hash table, or any other resource, accessible by worker sessions held by a TF server.
getShuffleAndRepeatFusion() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder: bool shuffle_and_repeat_fusion = 17;
getShuffleAndRepeatFusion() - Method in class org.tensorflow.proto.data.OptimizationOptions: bool shuffle_and_repeat_fusion = 17;
getShuffleAndRepeatFusion() - Method in interface org.tensorflow.proto.data.OptimizationOptionsOrBuilder: bool shuffle_and_repeat_fusion = 17;
getShutdownMode() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder: .tensorflow.WorkerShutdownMode shutdown_mode = 1;
getShutdownMode() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest: .tensorflow.WorkerShutdownMode shutdown_mode = 1;
getShutdownMode() - Method in interface org.tensorflow.proto.util.WorkerHeartbeatRequestOrBuilder: .tensorflow.WorkerShutdownMode shutdown_mode = 1;
getShutdownModeValue() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder: .tensorflow.WorkerShutdownMode shutdown_mode = 1;
getShutdownModeValue() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest: .tensorflow.WorkerShutdownMode shutdown_mode = 1;
getShutdownModeValue() - Method in interface org.tensorflow.proto.util.WorkerHeartbeatRequestOrBuilder: .tensorflow.WorkerShutdownMode shutdown_mode = 1;
getShutdownQuietPeriodMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: When shutting down a worker, how long to wait for the gRPC server to process the final requests.
getShutdownQuietPeriodMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: When shutting down a worker, how long to wait for the gRPC server to process the final requests.
getShutdownQuietPeriodMs() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: When shutting down a worker, how long to wait for the gRPC server to process the final requests.
getSigma() - Method in class org.tensorflow.proto.framework.LogNormalDistribution.Builder: double sigma = 2;
getSigma() - Method in class org.tensorflow.proto.framework.LogNormalDistribution: double sigma = 2;
getSigma() - Method in interface org.tensorflow.proto.framework.LogNormalDistributionOrBuilder: double sigma = 2;
getSigma() - Method in class org.tensorflow.proto.framework.NormalDistribution.Builder: double sigma = 2;
getSigma() - Method in class org.tensorflow.proto.framework.NormalDistribution: double sigma = 2;
getSigma() - Method in interface org.tensorflow.proto.framework.NormalDistributionOrBuilder: double sigma = 2;
getSignature() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: The definition of the function's name, arguments, return values, attrs etc.
getSignature() - Method in class org.tensorflow.proto.framework.FunctionDef: The definition of the function's name, arguments, return values, attrs etc.
getSignature() - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: The definition of the function's name, arguments, return values, attrs etc.
getSignatureBuilder() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: The definition of the function's name, arguments, return values, attrs etc.
getSignatureDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Deprecated.
getSignatureDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef: Deprecated.
getSignatureDef() - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: Deprecated.
getSignatureDefCount() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder
getSignatureDefCount() - Method in class org.tensorflow.proto.framework.MetaGraphDef
getSignatureDefCount() - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureDefMap() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureDefMap() - Method in class org.tensorflow.proto.framework.MetaGraphDef: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureDefMap() - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureDefOrDefault(String, SignatureDef) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureDefOrDefault(String, SignatureDef) - Method in class org.tensorflow.proto.framework.MetaGraphDef: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureDefOrDefault(String, SignatureDef) - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureDefOrThrow(String) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureDefOrThrow(String) - Method in class org.tensorflow.proto.framework.MetaGraphDef: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureDefOrThrow(String) - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureOrBuilder() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: The definition of the function's name, arguments, return values, attrs etc.
getSignatureOrBuilder() - Method in class org.tensorflow.proto.framework.FunctionDef: The definition of the function's name, arguments, return values, attrs etc.
getSignatureOrBuilder() - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: The definition of the function's name, arguments, return values, attrs etc.
getSimpleValue() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: float simple_value = 2;
getSimpleValue() - Method in class org.tensorflow.proto.framework.Summary.Value: float simple_value = 2;
getSimpleValue() - Method in interface org.tensorflow.proto.framework.Summary.ValueOrBuilder: float simple_value = 2;
getSize() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder: int64 size = 1;
getSize() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo: int64 size = 1;
getSize() - Method in interface org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfoOrBuilder: int64 size = 1;
getSize() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim.Builder: Size of the tensor in that dimension.
getSize() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim: Size of the tensor in that dimension.
getSize() - Method in interface org.tensorflow.proto.framework.TensorShapeProto.DimOrBuilder: Size of the tensor in that dimension.
getSize() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: int64 size = 5;
getSize() - Method in class org.tensorflow.proto.util.BundleEntryProto: int64 size = 5;
getSize() - Method in interface org.tensorflow.proto.util.BundleEntryProtoOrBuilder: int64 size = 5;
getSize() - Method in class org.tensorflow.proto.util.MemChunk.Builder: int64 size = 2;
getSize() - Method in class org.tensorflow.proto.util.MemChunk: int64 size = 2;
getSize() - Method in interface org.tensorflow.proto.util.MemChunkOrBuilder: int64 size = 2;
getSize() - Method in class org.tensorflow.proto.util.SnapShot.Builder: int64 size = 2;
getSize() - Method in class org.tensorflow.proto.util.SnapShot: int64 size = 2;
getSize() - Method in interface org.tensorflow.proto.util.SnapShotOrBuilder: int64 size = 2;
getSlack() - Method in class org.tensorflow.proto.data.Options.Builder: bool slack = 4;
getSlack() - Method in class org.tensorflow.proto.data.Options: bool slack = 4;
getSlack() - Method in interface org.tensorflow.proto.data.OptionsOrBuilder: bool slack = 4;
getSlice() - Method in class org.tensorflow.proto.util.SavedSlice.Builder: Extent of the slice.
getSlice() - Method in class org.tensorflow.proto.util.SavedSlice: Extent of the slice.
getSlice(int) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
getSlice(int) - Method in class org.tensorflow.proto.util.SavedSliceMeta: Explicit list of slices saved in the checkpoint file.
getSlice(int) - Method in interface org.tensorflow.proto.util.SavedSliceMetaOrBuilder: Explicit list of slices saved in the checkpoint file.
getSlice() - Method in interface org.tensorflow.proto.util.SavedSliceOrBuilder: Extent of the slice.
getSliceBuilder() - Method in class org.tensorflow.proto.util.SavedSlice.Builder: Extent of the slice.
getSliceBuilder(int) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
getSliceBuilderList() - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
getSliceCount() - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
getSliceCount() - Method in class org.tensorflow.proto.util.SavedSliceMeta: Explicit list of slices saved in the checkpoint file.
getSliceCount() - Method in interface org.tensorflow.proto.util.SavedSliceMetaOrBuilder: Explicit list of slices saved in the checkpoint file.
getSliceList() - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
getSliceList() - Method in class org.tensorflow.proto.util.SavedSliceMeta: Explicit list of slices saved in the checkpoint file.
getSliceList() - Method in interface org.tensorflow.proto.util.SavedSliceMetaOrBuilder: Explicit list of slices saved in the checkpoint file.
getSliceOrBuilder() - Method in class org.tensorflow.proto.util.SavedSlice.Builder: Extent of the slice.
getSliceOrBuilder() - Method in class org.tensorflow.proto.util.SavedSlice: Extent of the slice.
getSliceOrBuilder(int) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
getSliceOrBuilder(int) - Method in class org.tensorflow.proto.util.SavedSliceMeta: Explicit list of slices saved in the checkpoint file.
getSliceOrBuilder(int) - Method in interface org.tensorflow.proto.util.SavedSliceMetaOrBuilder: Explicit list of slices saved in the checkpoint file.
getSliceOrBuilder() - Method in interface org.tensorflow.proto.util.SavedSliceOrBuilder: Extent of the slice.
getSliceOrBuilderList() - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
getSliceOrBuilderList() - Method in class org.tensorflow.proto.util.SavedSliceMeta: Explicit list of slices saved in the checkpoint file.
getSliceOrBuilderList() - Method in interface org.tensorflow.proto.util.SavedSliceMetaOrBuilder: Explicit list of slices saved in the checkpoint file.
getSlices(int) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
getSlices(int) - Method in class org.tensorflow.proto.util.BundleEntryProto: Iff present, this entry represents a partitioned tensor.
getSlices(int) - Method in interface org.tensorflow.proto.util.BundleEntryProtoOrBuilder: Iff present, this entry represents a partitioned tensor.
getSlicesBuilder(int) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
getSlicesBuilderList() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
getSlicesCount() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
getSlicesCount() - Method in class org.tensorflow.proto.util.BundleEntryProto: Iff present, this entry represents a partitioned tensor.
getSlicesCount() - Method in interface org.tensorflow.proto.util.BundleEntryProtoOrBuilder: Iff present, this entry represents a partitioned tensor.
getSlicesList() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
getSlicesList() - Method in class org.tensorflow.proto.util.BundleEntryProto: Iff present, this entry represents a partitioned tensor.
getSlicesList() - Method in interface org.tensorflow.proto.util.BundleEntryProtoOrBuilder: Iff present, this entry represents a partitioned tensor.
getSlicesOrBuilder(int) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
getSlicesOrBuilder(int) - Method in class org.tensorflow.proto.util.BundleEntryProto: Iff present, this entry represents a partitioned tensor.
getSlicesOrBuilder(int) - Method in interface org.tensorflow.proto.util.BundleEntryProtoOrBuilder: Iff present, this entry represents a partitioned tensor.
getSlicesOrBuilderList() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
getSlicesOrBuilderList() - Method in class org.tensorflow.proto.util.BundleEntryProto: Iff present, this entry represents a partitioned tensor.
getSlicesOrBuilderList() - Method in interface org.tensorflow.proto.util.BundleEntryProtoOrBuilder: Iff present, this entry represents a partitioned tensor.
getSList() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(string)"
getSList() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(string)"
getSList() - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(string)"
getSlot() - Method in class org.tensorflow.proto.framework.NodeOutput.Builder: int32 slot = 1;
getSlot() - Method in class org.tensorflow.proto.framework.NodeOutput: int32 slot = 1;
getSlot() - Method in interface org.tensorflow.proto.framework.NodeOutputOrBuilder: int32 slot = 1;
getSlotName() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder: The name of the slot (e.g.
getSlotName() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference: The name of the slot (e.g.
getSlotName() - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReferenceOrBuilder: The name of the slot (e.g.
getSlotNameBytes() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder: The name of the slot (e.g.
getSlotNameBytes() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference: The name of the slot (e.g.
getSlotNameBytes() - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReferenceOrBuilder: The name of the slot (e.g.
getSlotVariableNodeId() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder: An index into `TrackableObjectGraph.nodes`, indicating the `Object` with the value of the slot variable.
getSlotVariableNodeId() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference: An index into `TrackableObjectGraph.nodes`, indicating the `Object` with the value of the slot variable.
getSlotVariableNodeId() - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReferenceOrBuilder: An index into `TrackableObjectGraph.nodes`, indicating the `Object` with the value of the slot variable.
getSlotVariables(int) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Slot variables owned by this object.
getSlotVariables(int) - Method in class org.tensorflow.proto.framework.SavedObject: Slot variables owned by this object.
getSlotVariables(int) - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: Slot variables owned by this object.
getSlotVariables(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
getSlotVariables(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject: Slot variables owned by this object.
getSlotVariables(int) - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObjectOrBuilder: Slot variables owned by this object.
getSlotVariablesBuilder(int) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Slot variables owned by this object.
getSlotVariablesBuilder(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
getSlotVariablesBuilderList() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Slot variables owned by this object.
getSlotVariablesBuilderList() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
getSlotVariablesCount() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Slot variables owned by this object.
getSlotVariablesCount() - Method in class org.tensorflow.proto.framework.SavedObject: Slot variables owned by this object.
getSlotVariablesCount() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: Slot variables owned by this object.
getSlotVariablesCount() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
getSlotVariablesCount() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject: Slot variables owned by this object.
getSlotVariablesCount() - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObjectOrBuilder: Slot variables owned by this object.
getSlotVariablesList() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Slot variables owned by this object.
getSlotVariablesList() - Method in class org.tensorflow.proto.framework.SavedObject: Slot variables owned by this object.
getSlotVariablesList() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: Slot variables owned by this object.
getSlotVariablesList() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
getSlotVariablesList() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject: Slot variables owned by this object.
getSlotVariablesList() - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObjectOrBuilder: Slot variables owned by this object.
getSlotVariablesOrBuilder(int) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Slot variables owned by this object.
getSlotVariablesOrBuilder(int) - Method in class org.tensorflow.proto.framework.SavedObject: Slot variables owned by this object.
getSlotVariablesOrBuilder(int) - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: Slot variables owned by this object.
getSlotVariablesOrBuilder(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
getSlotVariablesOrBuilder(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject: Slot variables owned by this object.
getSlotVariablesOrBuilder(int) - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObjectOrBuilder: Slot variables owned by this object.
getSlotVariablesOrBuilderList() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Slot variables owned by this object.
getSlotVariablesOrBuilderList() - Method in class org.tensorflow.proto.framework.SavedObject: Slot variables owned by this object.
getSlotVariablesOrBuilderList() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: Slot variables owned by this object.
getSlotVariablesOrBuilderList() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
getSlotVariablesOrBuilderList() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject: Slot variables owned by this object.
getSlotVariablesOrBuilderList() - Method in interface org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObjectOrBuilder: Slot variables owned by this object.
getSnapShot(int) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapShot(int) - Method in class org.tensorflow.proto.util.MemoryDump: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapShot(int) - Method in interface org.tensorflow.proto.util.MemoryDumpOrBuilder: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapshot() - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder: Hash of intermediate change between hash/changelist and what was tested.
getSnapshot() - Method in class org.tensorflow.proto.util.testlog.CommitId: Hash of intermediate change between hash/changelist and what was tested.
getSnapshot() - Method in interface org.tensorflow.proto.util.testlog.CommitIdOrBuilder: Hash of intermediate change between hash/changelist and what was tested.
getSnapShotBuilder(int) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapShotBuilderList() - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapshotBytes() - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder: Hash of intermediate change between hash/changelist and what was tested.
getSnapshotBytes() - Method in class org.tensorflow.proto.util.testlog.CommitId: Hash of intermediate change between hash/changelist and what was tested.
getSnapshotBytes() - Method in interface org.tensorflow.proto.util.testlog.CommitIdOrBuilder: Hash of intermediate change between hash/changelist and what was tested.
getSnapShotCount() - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapShotCount() - Method in class org.tensorflow.proto.util.MemoryDump: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapShotCount() - Method in interface org.tensorflow.proto.util.MemoryDumpOrBuilder: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapShotList() - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapShotList() - Method in class org.tensorflow.proto.util.MemoryDump: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapShotList() - Method in interface org.tensorflow.proto.util.MemoryDumpOrBuilder: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapshotName() - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Name of the snapshot tensor.
getSnapshotName() - Method in class org.tensorflow.proto.framework.VariableDef: Name of the snapshot tensor.
getSnapshotName() - Method in interface org.tensorflow.proto.framework.VariableDefOrBuilder: Name of the snapshot tensor.
getSnapshotNameBytes() - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Name of the snapshot tensor.
getSnapshotNameBytes() - Method in class org.tensorflow.proto.framework.VariableDef: Name of the snapshot tensor.
getSnapshotNameBytes() - Method in interface org.tensorflow.proto.framework.VariableDefOrBuilder: Name of the snapshot tensor.
getSnapShotOrBuilder(int) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapShotOrBuilder(int) - Method in class org.tensorflow.proto.util.MemoryDump: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapShotOrBuilder(int) - Method in interface org.tensorflow.proto.util.MemoryDumpOrBuilder: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapShotOrBuilderList() - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapShotOrBuilderList() - Method in class org.tensorflow.proto.util.MemoryDump: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapShotOrBuilderList() - Method in interface org.tensorflow.proto.util.MemoryDumpOrBuilder: repeated .tensorflow.SnapShot snap_shot = 4;
getSocOpId() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder: int32 soc_op_id = 4;
getSocOpId() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo: int32 soc_op_id = 4;
getSocOpId() - Method in interface org.tensorflow.proto.framework.GraphTransferNodeInfoOrBuilder: int32 soc_op_id = 4;
getSourceFile() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: The content of a source file.
getSourceFile() - Method in class org.tensorflow.proto.util.DebugEvent: The content of a source file.
getSourceFile() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder: The content of a source file.
getSourceFileBuilder() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: The content of a source file.
getSourceFileOrBuilder() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: The content of a source file.
getSourceFileOrBuilder() - Method in class org.tensorflow.proto.util.DebugEvent: The content of a source file.
getSourceFileOrBuilder() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder: The content of a source file.
getSourceFiles(int) - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder: A collection of source code files.
getSourceFiles(int) - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles: A collection of source code files.
getSourceFiles(int) - Method in interface org.tensorflow.proto.framework.DebuggedSourceFilesOrBuilder: A collection of source code files.
getSourceFilesBuilder(int) - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder: A collection of source code files.
getSourceFilesBuilderList() - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder: A collection of source code files.
getSourceFilesCount() - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder: A collection of source code files.
getSourceFilesCount() - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles: A collection of source code files.
getSourceFilesCount() - Method in interface org.tensorflow.proto.framework.DebuggedSourceFilesOrBuilder: A collection of source code files.
getSourceFilesList() - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder: A collection of source code files.
getSourceFilesList() - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles: A collection of source code files.
getSourceFilesList() - Method in interface org.tensorflow.proto.framework.DebuggedSourceFilesOrBuilder: A collection of source code files.
getSourceFilesOrBuilder(int) - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder: A collection of source code files.
getSourceFilesOrBuilder(int) - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles: A collection of source code files.
getSourceFilesOrBuilder(int) - Method in interface org.tensorflow.proto.framework.DebuggedSourceFilesOrBuilder: A collection of source code files.
getSourceFilesOrBuilderList() - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder: A collection of source code files.
getSourceFilesOrBuilderList() - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles: A collection of source code files.
getSourceFilesOrBuilderList() - Method in interface org.tensorflow.proto.framework.DebuggedSourceFilesOrBuilder: A collection of source code files.
getStackFrameIds(int) - Method in class org.tensorflow.proto.util.CodeLocation.Builder: ID to a stack frame, each of which is pointed to by a unique ID.
getStackFrameIds(int) - Method in class org.tensorflow.proto.util.CodeLocation: ID to a stack frame, each of which is pointed to by a unique ID.
getStackFrameIds(int) - Method in interface org.tensorflow.proto.util.CodeLocationOrBuilder: ID to a stack frame, each of which is pointed to by a unique ID.
getStackFrameIdsBytes(int) - Method in class org.tensorflow.proto.util.CodeLocation.Builder: ID to a stack frame, each of which is pointed to by a unique ID.
getStackFrameIdsBytes(int) - Method in class org.tensorflow.proto.util.CodeLocation: ID to a stack frame, each of which is pointed to by a unique ID.
getStackFrameIdsBytes(int) - Method in interface org.tensorflow.proto.util.CodeLocationOrBuilder: ID to a stack frame, each of which is pointed to by a unique ID.
getStackFrameIdsCount() - Method in class org.tensorflow.proto.util.CodeLocation.Builder: ID to a stack frame, each of which is pointed to by a unique ID.
getStackFrameIdsCount() - Method in class org.tensorflow.proto.util.CodeLocation: ID to a stack frame, each of which is pointed to by a unique ID.
getStackFrameIdsCount() - Method in interface org.tensorflow.proto.util.CodeLocationOrBuilder: ID to a stack frame, each of which is pointed to by a unique ID.
getStackFrameIdsList() - Method in class org.tensorflow.proto.util.CodeLocation.Builder: ID to a stack frame, each of which is pointed to by a unique ID.
getStackFrameIdsList() - Method in class org.tensorflow.proto.util.CodeLocation: ID to a stack frame, each of which is pointed to by a unique ID.
getStackFrameIdsList() - Method in interface org.tensorflow.proto.util.CodeLocationOrBuilder: ID to a stack frame, each of which is pointed to by a unique ID.
getStackFrameWithId() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: A stack frame (filename, line number and column number, function name and code string) with ID.
getStackFrameWithId() - Method in class org.tensorflow.proto.util.DebugEvent: A stack frame (filename, line number and column number, function name and code string) with ID.
getStackFrameWithId() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder: A stack frame (filename, line number and column number, function name and code string) with ID.
getStackFrameWithIdBuilder() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: A stack frame (filename, line number and column number, function name and code string) with ID.
getStackFrameWithIdOrBuilder() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: A stack frame (filename, line number and column number, function name and code string) with ID.
getStackFrameWithIdOrBuilder() - Method in class org.tensorflow.proto.util.DebugEvent: A stack frame (filename, line number and column number, function name and code string) with ID.
getStackFrameWithIdOrBuilder() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder: A stack frame (filename, line number and column number, function name and code string) with ID.
getStart() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent.Builder: Start index of the slice, starting at 0.
getStart() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent: Start index of the slice, starting at 0.
getStart() - Method in interface org.tensorflow.proto.framework.TensorSliceProto.ExtentOrBuilder: Start index of the slice, starting at 0.
getStartTime() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The time the run started (in seconds of UTC time since Unix epoch)
getStartTime() - Method in class org.tensorflow.proto.util.testlog.TestResults: The time the run started (in seconds of UTC time since Unix epoch)
getStartTime() - Method in interface org.tensorflow.proto.util.testlog.TestResultsOrBuilder: The time the run started (in seconds of UTC time since Unix epoch)
getStartTimestampNs() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: The local profiler starts profiling at this Unix timestamp in nanoseconds.
getStartTimestampNs() - Method in class org.tensorflow.proto.profiler.ProfileOptions: The local profiler starts profiling at this Unix timestamp in nanoseconds.
getStartTimestampNs() - Method in interface org.tensorflow.proto.profiler.ProfileOptionsOrBuilder: The local profiler starts profiling at this Unix timestamp in nanoseconds.
getStateValue() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder: The actual value of the parameter.
getStateValue() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter: The actual value of the parameter.
getStateValue() - Method in interface org.tensorflow.proto.data.model.ModelProto.Node.ParameterOrBuilder: The actual value of the parameter.
getStatMetadata() - Method in class org.tensorflow.proto.profiler.XPlane.Builder: Deprecated.
getStatMetadata() - Method in class org.tensorflow.proto.profiler.XPlane: Deprecated.
getStatMetadata() - Method in interface org.tensorflow.proto.profiler.XPlaneOrBuilder: Deprecated.
getStatMetadataCount() - Method in class org.tensorflow.proto.profiler.XPlane.Builder
getStatMetadataCount() - Method in class org.tensorflow.proto.profiler.XPlane
getStatMetadataCount() - Method in interface org.tensorflow.proto.profiler.XPlaneOrBuilder: XStatMetadata map, each entry uses the XStatMetadata.id as key.
getStatMetadataMap() - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XStatMetadata map, each entry uses the XStatMetadata.id as key.
getStatMetadataMap() - Method in class org.tensorflow.proto.profiler.XPlane: XStatMetadata map, each entry uses the XStatMetadata.id as key.
getStatMetadataMap() - Method in interface org.tensorflow.proto.profiler.XPlaneOrBuilder: XStatMetadata map, each entry uses the XStatMetadata.id as key.
getStatMetadataOrDefault(long, XStatMetadata) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XStatMetadata map, each entry uses the XStatMetadata.id as key.
getStatMetadataOrDefault(long, XStatMetadata) - Method in class org.tensorflow.proto.profiler.XPlane: XStatMetadata map, each entry uses the XStatMetadata.id as key.
getStatMetadataOrDefault(long, XStatMetadata) - Method in interface org.tensorflow.proto.profiler.XPlaneOrBuilder: XStatMetadata map, each entry uses the XStatMetadata.id as key.
getStatMetadataOrThrow(long) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XStatMetadata map, each entry uses the XStatMetadata.id as key.
getStatMetadataOrThrow(long) - Method in class org.tensorflow.proto.profiler.XPlane: XStatMetadata map, each entry uses the XStatMetadata.id as key.
getStatMetadataOrThrow(long) - Method in interface org.tensorflow.proto.profiler.XPlaneOrBuilder: XStatMetadata map, each entry uses the XStatMetadata.id as key.
getStats(int) - Method in class org.tensorflow.proto.profiler.XEvent.Builder: XStats associated with the event.
getStats(int) - Method in class org.tensorflow.proto.profiler.XEvent: XStats associated with the event.
getStats(int) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
getStats(int) - Method in class org.tensorflow.proto.profiler.XEventMetadata: XStats that are constant for all XEvents with the same metadata_id.
getStats(int) - Method in interface org.tensorflow.proto.profiler.XEventMetadataOrBuilder: XStats that are constant for all XEvents with the same metadata_id.
getStats(int) - Method in interface org.tensorflow.proto.profiler.XEventOrBuilder: XStats associated with the event.
getStats(int) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XStats associated with this plane, e.g.
getStats(int) - Method in class org.tensorflow.proto.profiler.XPlane: XStats associated with this plane, e.g.
getStats(int) - Method in interface org.tensorflow.proto.profiler.XPlaneOrBuilder: XStats associated with this plane, e.g.
getStats() - Method in class org.tensorflow.proto.util.MemoryDump.Builder: .tensorflow.MemAllocatorStats stats = 5;
getStats() - Method in class org.tensorflow.proto.util.MemoryDump: .tensorflow.MemAllocatorStats stats = 5;
getStats() - Method in interface org.tensorflow.proto.util.MemoryDumpOrBuilder: .tensorflow.MemAllocatorStats stats = 5;
getStatsBuilder(int) - Method in class org.tensorflow.proto.profiler.XEvent.Builder: XStats associated with the event.
getStatsBuilder(int) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
getStatsBuilder(int) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XStats associated with this plane, e.g.
getStatsBuilder() - Method in class org.tensorflow.proto.util.MemoryDump.Builder: .tensorflow.MemAllocatorStats stats = 5;
getStatsBuilderList() - Method in class org.tensorflow.proto.profiler.XEvent.Builder: XStats associated with the event.
getStatsBuilderList() - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
getStatsBuilderList() - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XStats associated with this plane, e.g.
getStatsCount() - Method in class org.tensorflow.proto.profiler.XEvent.Builder: XStats associated with the event.
getStatsCount() - Method in class org.tensorflow.proto.profiler.XEvent: XStats associated with the event.
getStatsCount() - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
getStatsCount() - Method in class org.tensorflow.proto.profiler.XEventMetadata: XStats that are constant for all XEvents with the same metadata_id.
getStatsCount() - Method in interface org.tensorflow.proto.profiler.XEventMetadataOrBuilder: XStats that are constant for all XEvents with the same metadata_id.
getStatsCount() - Method in interface org.tensorflow.proto.profiler.XEventOrBuilder: XStats associated with the event.
getStatsCount() - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XStats associated with this plane, e.g.
getStatsCount() - Method in class org.tensorflow.proto.profiler.XPlane: XStats associated with this plane, e.g.
getStatsCount() - Method in interface org.tensorflow.proto.profiler.XPlaneOrBuilder: XStats associated with this plane, e.g.
getStatsList() - Method in class org.tensorflow.proto.profiler.XEvent.Builder: XStats associated with the event.
getStatsList() - Method in class org.tensorflow.proto.profiler.XEvent: XStats associated with the event.
getStatsList() - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
getStatsList() - Method in class org.tensorflow.proto.profiler.XEventMetadata: XStats that are constant for all XEvents with the same metadata_id.
getStatsList() - Method in interface org.tensorflow.proto.profiler.XEventMetadataOrBuilder: XStats that are constant for all XEvents with the same metadata_id.
getStatsList() - Method in interface org.tensorflow.proto.profiler.XEventOrBuilder: XStats associated with the event.
getStatsList() - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XStats associated with this plane, e.g.
getStatsList() - Method in class org.tensorflow.proto.profiler.XPlane: XStats associated with this plane, e.g.
getStatsList() - Method in interface org.tensorflow.proto.profiler.XPlaneOrBuilder: XStats associated with this plane, e.g.
getStatsOrBuilder(int) - Method in class org.tensorflow.proto.profiler.XEvent.Builder: XStats associated with the event.
getStatsOrBuilder(int) - Method in class org.tensorflow.proto.profiler.XEvent: XStats associated with the event.
getStatsOrBuilder(int) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
getStatsOrBuilder(int) - Method in class org.tensorflow.proto.profiler.XEventMetadata: XStats that are constant for all XEvents with the same metadata_id.
getStatsOrBuilder(int) - Method in interface org.tensorflow.proto.profiler.XEventMetadataOrBuilder: XStats that are constant for all XEvents with the same metadata_id.
getStatsOrBuilder(int) - Method in interface org.tensorflow.proto.profiler.XEventOrBuilder: XStats associated with the event.
getStatsOrBuilder(int) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XStats associated with this plane, e.g.
getStatsOrBuilder(int) - Method in class org.tensorflow.proto.profiler.XPlane: XStats associated with this plane, e.g.
getStatsOrBuilder(int) - Method in interface org.tensorflow.proto.profiler.XPlaneOrBuilder: XStats associated with this plane, e.g.
getStatsOrBuilder() - Method in class org.tensorflow.proto.util.MemoryDump.Builder: .tensorflow.MemAllocatorStats stats = 5;
getStatsOrBuilder() - Method in class org.tensorflow.proto.util.MemoryDump: .tensorflow.MemAllocatorStats stats = 5;
getStatsOrBuilder() - Method in interface org.tensorflow.proto.util.MemoryDumpOrBuilder: .tensorflow.MemAllocatorStats stats = 5;
getStatsOrBuilderList() - Method in class org.tensorflow.proto.profiler.XEvent.Builder: XStats associated with the event.
getStatsOrBuilderList() - Method in class org.tensorflow.proto.profiler.XEvent: XStats associated with the event.
getStatsOrBuilderList() - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
getStatsOrBuilderList() - Method in class org.tensorflow.proto.profiler.XEventMetadata: XStats that are constant for all XEvents with the same metadata_id.
getStatsOrBuilderList() - Method in interface org.tensorflow.proto.profiler.XEventMetadataOrBuilder: XStats that are constant for all XEvents with the same metadata_id.
getStatsOrBuilderList() - Method in interface org.tensorflow.proto.profiler.XEventOrBuilder: XStats associated with the event.
getStatsOrBuilderList() - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XStats associated with this plane, e.g.
getStatsOrBuilderList() - Method in class org.tensorflow.proto.profiler.XPlane: XStats associated with this plane, e.g.
getStatsOrBuilderList() - Method in interface org.tensorflow.proto.profiler.XPlaneOrBuilder: XStats associated with this plane, e.g.
getStatus() - Method in class org.tensorflow.proto.util.SessionLog.Builder: .tensorflow.SessionLog.SessionStatus status = 1;
getStatus() - Method in class org.tensorflow.proto.util.SessionLog: .tensorflow.SessionLog.SessionStatus status = 1;
getStatus() - Method in interface org.tensorflow.proto.util.SessionLogOrBuilder: .tensorflow.SessionLog.SessionStatus status = 1;
getStatusValue() - Method in class org.tensorflow.proto.util.SessionLog.Builder: .tensorflow.SessionLog.SessionStatus status = 1;
getStatusValue() - Method in class org.tensorflow.proto.util.SessionLog: .tensorflow.SessionLog.SessionStatus status = 1;
getStatusValue() - Method in interface org.tensorflow.proto.util.SessionLogOrBuilder: .tensorflow.SessionLog.SessionStatus status = 1;
getStep() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Step of training (if available).
getStep() - Method in class org.tensorflow.proto.util.DebugEvent: Step of training (if available).
getStep() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder: Step of training (if available).
getStep() - Method in class org.tensorflow.proto.util.Event.Builder: Global step of the event.
getStep() - Method in class org.tensorflow.proto.util.Event: Global step of the event.
getStep() - Method in interface org.tensorflow.proto.util.EventOrBuilder: Global step of the event.
getStepId() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder: Process-unique step id.
getStepId() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation: Process-unique step id.
getStepId() - Method in interface org.tensorflow.proto.framework.MemoryLogRawAllocationOrBuilder: Process-unique step id.
getStepId() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder: Process-unique step id.
getStepId() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation: Process-unique step id.
getStepId() - Method in interface org.tensorflow.proto.framework.MemoryLogRawDeallocationOrBuilder: Process-unique step id.
getStepId() - Method in class org.tensorflow.proto.framework.MemoryLogStep.Builder: Process-unique step id.
getStepId() - Method in class org.tensorflow.proto.framework.MemoryLogStep: Process-unique step id.
getStepId() - Method in interface org.tensorflow.proto.framework.MemoryLogStepOrBuilder: Process-unique step id.
getStepId() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder: Process-unique step id.
getStepId() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation: Process-unique step id.
getStepId() - Method in interface org.tensorflow.proto.framework.MemoryLogTensorAllocationOrBuilder: Process-unique step id.
getStepId() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder: Process-unique step id.
getStepId() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput: Process-unique step id.
getStepId() - Method in interface org.tensorflow.proto.framework.MemoryLogTensorOutputOrBuilder: Process-unique step id.
getStepId() - Method in class org.tensorflow.proto.util.MemChunk.Builder: uint64 step_id = 9;
getStepId() - Method in class org.tensorflow.proto.util.MemChunk: uint64 step_id = 9;
getStepId() - Method in interface org.tensorflow.proto.util.MemChunkOrBuilder: uint64 step_id = 9;
getStepStats() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: Statistics traced for this step.
getStepStats() - Method in class org.tensorflow.proto.framework.RunMetadata: Statistics traced for this step.
getStepStats() - Method in interface org.tensorflow.proto.framework.RunMetadataOrBuilder: Statistics traced for this step.
getStepStatsBuilder() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: Statistics traced for this step.
getStepStatsOrBuilder() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: Statistics traced for this step.
getStepStatsOrBuilder() - Method in class org.tensorflow.proto.framework.RunMetadata: Statistics traced for this step.
getStepStatsOrBuilder() - Method in interface org.tensorflow.proto.framework.RunMetadataOrBuilder: Statistics traced for this step.
getStrength() - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder: int32 strength = 3;
getStrength() - Method in class org.tensorflow.proto.framework.InterconnectLink: int32 strength = 3;
getStrength() - Method in interface org.tensorflow.proto.framework.InterconnectLinkOrBuilder: int32 strength = 3;
getStringVal(int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_STRING
getStringVal(int) - Method in class org.tensorflow.proto.framework.TensorProto: DT_STRING
getStringVal(int) - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_STRING
getStringValCount() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_STRING
getStringValCount() - Method in class org.tensorflow.proto.framework.TensorProto: DT_STRING
getStringValCount() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_STRING
getStringValList() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_STRING
getStringValList() - Method in class org.tensorflow.proto.framework.TensorProto: DT_STRING
getStringValList() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_STRING
getStringValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a string of Unicode characters stored in a Python `str`.
getStringValue() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents a string of Unicode characters stored in a Python `str`.
getStringValue() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents a string of Unicode characters stored in a Python `str`.
getStringValue() - Method in class org.tensorflow.proto.util.testlog.EntryValue.Builder: string string_value = 2;
getStringValue() - Method in class org.tensorflow.proto.util.testlog.EntryValue: string string_value = 2;
getStringValue() - Method in interface org.tensorflow.proto.util.testlog.EntryValueOrBuilder: string string_value = 2;
getStringValueBytes() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a string of Unicode characters stored in a Python `str`.
getStringValueBytes() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents a string of Unicode characters stored in a Python `str`.
getStringValueBytes() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents a string of Unicode characters stored in a Python `str`.
getStringValueBytes() - Method in class org.tensorflow.proto.util.testlog.EntryValue.Builder: string string_value = 2;
getStringValueBytes() - Method in class org.tensorflow.proto.util.testlog.EntryValue: string string_value = 2;
getStringValueBytes() - Method in interface org.tensorflow.proto.util.testlog.EntryValueOrBuilder: string string_value = 2;
getStrippedDefaultAttrs() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: A flag to denote whether default-valued attrs have been stripped from the nodes in this graph_def.
getStrippedDefaultAttrs() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef: A flag to denote whether default-valued attrs have been stripped from the nodes in this graph_def.
getStrippedDefaultAttrs() - Method in interface org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDefOrBuilder: A flag to denote whether default-valued attrs have been stripped from the nodes in this graph_def.
getStrippedOpList() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: A copy of the OpDefs used by the producer of this graph_def.
getStrippedOpList() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef: A copy of the OpDefs used by the producer of this graph_def.
getStrippedOpList() - Method in interface org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDefOrBuilder: A copy of the OpDefs used by the producer of this graph_def.
getStrippedOpListBuilder() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: A copy of the OpDefs used by the producer of this graph_def.
getStrippedOpListOrBuilder() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: A copy of the OpDefs used by the producer of this graph_def.
getStrippedOpListOrBuilder() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef: A copy of the OpDefs used by the producer of this graph_def.
getStrippedOpListOrBuilder() - Method in interface org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDefOrBuilder: A copy of the OpDefs used by the producer of this graph_def.
getStructureVerifier() - Method in class org.tensorflow.proto.framework.VerifierConfig.Builder: Perform structural validation on a tensorflow graph.
getStructureVerifier() - Method in class org.tensorflow.proto.framework.VerifierConfig: Perform structural validation on a tensorflow graph.
getStructureVerifier() - Method in interface org.tensorflow.proto.framework.VerifierConfigOrBuilder: Perform structural validation on a tensorflow graph.
getStructureVerifierValue() - Method in class org.tensorflow.proto.framework.VerifierConfig.Builder: Perform structural validation on a tensorflow graph.
getStructureVerifierValue() - Method in class org.tensorflow.proto.framework.VerifierConfig: Perform structural validation on a tensorflow graph.
getStructureVerifierValue() - Method in interface org.tensorflow.proto.framework.VerifierConfigOrBuilder: Perform structural validation on a tensorflow graph.
getStrValue() - Method in class org.tensorflow.proto.profiler.XStat.Builder: string str_value = 5;
getStrValue() - Method in class org.tensorflow.proto.profiler.XStat: string str_value = 5;
getStrValue() - Method in interface org.tensorflow.proto.profiler.XStatOrBuilder: string str_value = 5;
getStrValueBytes() - Method in class org.tensorflow.proto.profiler.XStat.Builder: string str_value = 5;
getStrValueBytes() - Method in class org.tensorflow.proto.profiler.XStat: string str_value = 5;
getStrValueBytes() - Method in interface org.tensorflow.proto.profiler.XStatOrBuilder: string str_value = 5;
getSum() - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: double sum = 4;
getSum() - Method in class org.tensorflow.proto.framework.HistogramProto: double sum = 4;
getSum() - Method in interface org.tensorflow.proto.framework.HistogramProtoOrBuilder: double sum = 4;
getSummary() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: One-line human-readable description of what the Op does.
getSummary() - Method in class org.tensorflow.proto.framework.ApiDef: One-line human-readable description of what the Op does.
getSummary() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: One-line human-readable description of what the Op does.
getSummary() - Method in class org.tensorflow.proto.framework.OpDef.Builder: One-line human-readable description of what the Op does.
getSummary() - Method in class org.tensorflow.proto.framework.OpDef: One-line human-readable description of what the Op does.
getSummary() - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: One-line human-readable description of what the Op does.
getSummary() - Method in class org.tensorflow.proto.util.Event.Builder: A summary was generated.
getSummary() - Method in class org.tensorflow.proto.util.Event: A summary was generated.
getSummary() - Method in interface org.tensorflow.proto.util.EventOrBuilder: A summary was generated.
getSummaryBuilder() - Method in class org.tensorflow.proto.util.Event.Builder: A summary was generated.
getSummaryBytes() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: One-line human-readable description of what the Op does.
getSummaryBytes() - Method in class org.tensorflow.proto.framework.ApiDef: One-line human-readable description of what the Op does.
getSummaryBytes() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: One-line human-readable description of what the Op does.
getSummaryBytes() - Method in class org.tensorflow.proto.framework.OpDef.Builder: One-line human-readable description of what the Op does.
getSummaryBytes() - Method in class org.tensorflow.proto.framework.OpDef: One-line human-readable description of what the Op does.
getSummaryBytes() - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: One-line human-readable description of what the Op does.
getSummaryDescription() - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder: Longform readable description of the summary sequence.
getSummaryDescription() - Method in class org.tensorflow.proto.framework.SummaryMetadata: Longform readable description of the summary sequence.
getSummaryDescription() - Method in interface org.tensorflow.proto.framework.SummaryMetadataOrBuilder: Longform readable description of the summary sequence.
getSummaryDescriptionBytes() - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder: Longform readable description of the summary sequence.
getSummaryDescriptionBytes() - Method in class org.tensorflow.proto.framework.SummaryMetadata: Longform readable description of the summary sequence.
getSummaryDescriptionBytes() - Method in interface org.tensorflow.proto.framework.SummaryMetadataOrBuilder: Longform readable description of the summary sequence.
getSummaryOrBuilder() - Method in class org.tensorflow.proto.util.Event.Builder: A summary was generated.
getSummaryOrBuilder() - Method in class org.tensorflow.proto.util.Event: A summary was generated.
getSummaryOrBuilder() - Method in interface org.tensorflow.proto.util.EventOrBuilder: A summary was generated.
getSumSquares() - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: double sum_squares = 5;
getSumSquares() - Method in class org.tensorflow.proto.framework.HistogramProto: double sum_squares = 5;
getSumSquares() - Method in interface org.tensorflow.proto.framework.HistogramProtoOrBuilder: double sum_squares = 5;
getSwapMemory() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Whether GPU-CPU memory swap is enabled for this loop.
getSwapMemory() - Method in class org.tensorflow.proto.framework.WhileContextDef: Whether GPU-CPU memory swap is enabled for this loop.
getSwapMemory() - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: Whether GPU-CPU memory swap is enabled for this loop.
getSynchronization() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: .tensorflow.VariableSynchronization synchronization = 4;
getSynchronization() - Method in class org.tensorflow.proto.framework.SavedVariable: .tensorflow.VariableSynchronization synchronization = 4;
getSynchronization() - Method in interface org.tensorflow.proto.framework.SavedVariableOrBuilder: .tensorflow.VariableSynchronization synchronization = 4;
getSynchronization() - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Indicates when a distributed variable will be synced.
getSynchronization() - Method in class org.tensorflow.proto.framework.VariableDef: Indicates when a distributed variable will be synced.
getSynchronization() - Method in interface org.tensorflow.proto.framework.VariableDefOrBuilder: Indicates when a distributed variable will be synced.
getSynchronizationValue() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: .tensorflow.VariableSynchronization synchronization = 4;
getSynchronizationValue() - Method in class org.tensorflow.proto.framework.SavedVariable: .tensorflow.VariableSynchronization synchronization = 4;
getSynchronizationValue() - Method in interface org.tensorflow.proto.framework.SavedVariableOrBuilder: .tensorflow.VariableSynchronization synchronization = 4;
getSynchronizationValue() - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Indicates when a distributed variable will be synced.
getSynchronizationValue() - Method in class org.tensorflow.proto.framework.VariableDef: Indicates when a distributed variable will be synced.
getSynchronizationValue() - Method in interface org.tensorflow.proto.framework.VariableDefOrBuilder: Indicates when a distributed variable will be synced.
getSystem() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
getSystem() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo: e.g.
getSystem() - Method in interface org.tensorflow.proto.util.testlog.PlatformInfoOrBuilder: e.g.
getSystemBytes() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
getSystemBytes() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo: e.g.
getSystemBytes() - Method in interface org.tensorflow.proto.util.testlog.PlatformInfoOrBuilder: e.g.
getTag() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: Tag name for the data.
getTag() - Method in class org.tensorflow.proto.framework.Summary.Value: Tag name for the data.
getTag() - Method in interface org.tensorflow.proto.framework.Summary.ValueOrBuilder: Tag name for the data.
getTag() - Method in class org.tensorflow.proto.util.TaggedRunMetadata.Builder: Tag name associated with this metadata.
getTag() - Method in class org.tensorflow.proto.util.TaggedRunMetadata: Tag name associated with this metadata.
getTag() - Method in interface org.tensorflow.proto.util.TaggedRunMetadataOrBuilder: Tag name associated with this metadata.
getTagBytes() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: Tag name for the data.
getTagBytes() - Method in class org.tensorflow.proto.framework.Summary.Value: Tag name for the data.
getTagBytes() - Method in interface org.tensorflow.proto.framework.Summary.ValueOrBuilder: Tag name for the data.
getTagBytes() - Method in class org.tensorflow.proto.util.TaggedRunMetadata.Builder: Tag name associated with this metadata.
getTagBytes() - Method in class org.tensorflow.proto.util.TaggedRunMetadata: Tag name associated with this metadata.
getTagBytes() - Method in interface org.tensorflow.proto.util.TaggedRunMetadataOrBuilder: Tag name associated with this metadata.
getTaggedRunMetadata() - Method in class org.tensorflow.proto.util.Event.Builder: The metadata returned by running a session.run() call.
getTaggedRunMetadata() - Method in class org.tensorflow.proto.util.Event: The metadata returned by running a session.run() call.
getTaggedRunMetadata() - Method in interface org.tensorflow.proto.util.EventOrBuilder: The metadata returned by running a session.run() call.
getTaggedRunMetadataBuilder() - Method in class org.tensorflow.proto.util.Event.Builder: The metadata returned by running a session.run() call.
getTaggedRunMetadataOrBuilder() - Method in class org.tensorflow.proto.util.Event.Builder: The metadata returned by running a session.run() call.
getTaggedRunMetadataOrBuilder() - Method in class org.tensorflow.proto.util.Event: The metadata returned by running a session.run() call.
getTaggedRunMetadataOrBuilder() - Method in interface org.tensorflow.proto.util.EventOrBuilder: The metadata returned by running a session.run() call.
getTags(int) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: User supplied tag(s) on the meta_graph and included graph_def.
getTags(int) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef: User supplied tag(s) on the meta_graph and included graph_def.
getTags(int) - Method in interface org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDefOrBuilder: User supplied tag(s) on the meta_graph and included graph_def.
getTagsBytes(int) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: User supplied tag(s) on the meta_graph and included graph_def.
getTagsBytes(int) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef: User supplied tag(s) on the meta_graph and included graph_def.
getTagsBytes(int) - Method in interface org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDefOrBuilder: User supplied tag(s) on the meta_graph and included graph_def.
getTagsCount() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: User supplied tag(s) on the meta_graph and included graph_def.
getTagsCount() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef: User supplied tag(s) on the meta_graph and included graph_def.
getTagsCount() - Method in interface org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDefOrBuilder: User supplied tag(s) on the meta_graph and included graph_def.
getTagsList() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: User supplied tag(s) on the meta_graph and included graph_def.
getTagsList() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef: User supplied tag(s) on the meta_graph and included graph_def.
getTagsList() - Method in interface org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDefOrBuilder: User supplied tag(s) on the meta_graph and included graph_def.
getTarget(int) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Target Nodes.
getTarget(int) - Method in class org.tensorflow.proto.framework.CallableOptions: Target Nodes.
getTarget(int) - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: Target Nodes.
getTarget() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The target of the run, e.g.: //tensorflow/core:kernels_adjust_contrast_op_benchmark_test
getTarget() - Method in class org.tensorflow.proto.util.testlog.TestResults: The target of the run, e.g.: //tensorflow/core:kernels_adjust_contrast_op_benchmark_test
getTarget() - Method in interface org.tensorflow.proto.util.testlog.TestResultsOrBuilder: The target of the run, e.g.: //tensorflow/core:kernels_adjust_contrast_op_benchmark_test
getTargetBytes(int) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Target Nodes.
getTargetBytes(int) - Method in class org.tensorflow.proto.framework.CallableOptions: Target Nodes.
getTargetBytes(int) - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: Target Nodes.
getTargetBytes() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The target of the run, e.g.: //tensorflow/core:kernels_adjust_contrast_op_benchmark_test
getTargetBytes() - Method in class org.tensorflow.proto.util.testlog.TestResults: The target of the run, e.g.: //tensorflow/core:kernels_adjust_contrast_op_benchmark_test
getTargetBytes() - Method in interface org.tensorflow.proto.util.testlog.TestResultsOrBuilder: The target of the run, e.g.: //tensorflow/core:kernels_adjust_contrast_op_benchmark_test
getTargetCount() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Target Nodes.
getTargetCount() - Method in class org.tensorflow.proto.framework.CallableOptions: Target Nodes.
getTargetCount() - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: Target Nodes.
getTargetList() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Target Nodes.
getTargetList() - Method in class org.tensorflow.proto.framework.CallableOptions: Target Nodes.
getTargetList() - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: Target Nodes.
getTaskIndex() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The task index of this server in its job.
getTaskIndex() - Method in class org.tensorflow.proto.distruntime.ServerDef: The task index of this server in its job.
getTaskIndex() - Method in interface org.tensorflow.proto.distruntime.ServerDefOrBuilder: The task index of this server in its job.
getTasks() - Method in class org.tensorflow.proto.distruntime.JobDef.Builder: Deprecated.
getTasks() - Method in class org.tensorflow.proto.distruntime.JobDef: Deprecated.
getTasks() - Method in interface org.tensorflow.proto.distruntime.JobDefOrBuilder: Deprecated.
getTasks() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder: Deprecated.
getTasks() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters: Deprecated.
getTasks() - Method in interface org.tensorflow.proto.distruntime.JobDeviceFiltersOrBuilder: Deprecated.
getTasksCount() - Method in class org.tensorflow.proto.distruntime.JobDef.Builder
getTasksCount() - Method in class org.tensorflow.proto.distruntime.JobDef
getTasksCount() - Method in interface org.tensorflow.proto.distruntime.JobDefOrBuilder: Mapping from task ID to "hostname:port" string.
getTasksCount() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder
getTasksCount() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters
getTasksCount() - Method in interface org.tensorflow.proto.distruntime.JobDeviceFiltersOrBuilder: Mapping from task ID to task device filters.
getTasksMap() - Method in class org.tensorflow.proto.distruntime.JobDef.Builder: Mapping from task ID to "hostname:port" string.
getTasksMap() - Method in class org.tensorflow.proto.distruntime.JobDef: Mapping from task ID to "hostname:port" string.
getTasksMap() - Method in interface org.tensorflow.proto.distruntime.JobDefOrBuilder: Mapping from task ID to "hostname:port" string.
getTasksMap() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder: Mapping from task ID to task device filters.
getTasksMap() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters: Mapping from task ID to task device filters.
getTasksMap() - Method in interface org.tensorflow.proto.distruntime.JobDeviceFiltersOrBuilder: Mapping from task ID to task device filters.
getTasksOrDefault(int, String) - Method in class org.tensorflow.proto.distruntime.JobDef.Builder: Mapping from task ID to "hostname:port" string.
getTasksOrDefault(int, String) - Method in class org.tensorflow.proto.distruntime.JobDef: Mapping from task ID to "hostname:port" string.
getTasksOrDefault(int, String) - Method in interface org.tensorflow.proto.distruntime.JobDefOrBuilder: Mapping from task ID to "hostname:port" string.
getTasksOrDefault(int, TaskDeviceFilters) - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder: Mapping from task ID to task device filters.
getTasksOrDefault(int, TaskDeviceFilters) - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters: Mapping from task ID to task device filters.
getTasksOrDefault(int, TaskDeviceFilters) - Method in interface org.tensorflow.proto.distruntime.JobDeviceFiltersOrBuilder: Mapping from task ID to task device filters.
getTasksOrThrow(int) - Method in class org.tensorflow.proto.distruntime.JobDef.Builder: Mapping from task ID to "hostname:port" string.
getTasksOrThrow(int) - Method in class org.tensorflow.proto.distruntime.JobDef: Mapping from task ID to "hostname:port" string.
getTasksOrThrow(int) - Method in interface org.tensorflow.proto.distruntime.JobDefOrBuilder: Mapping from task ID to "hostname:port" string.
getTasksOrThrow(int) - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder: Mapping from task ID to task device filters.
getTasksOrThrow(int) - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters: Mapping from task ID to task device filters.
getTasksOrThrow(int) - Method in interface org.tensorflow.proto.distruntime.JobDeviceFiltersOrBuilder: Mapping from task ID to task device filters.
getTempMemory() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder: Temp and persistent memory allocated by this node.
getTempMemory() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory: Temp and persistent memory allocated by this node.
getTempMemory() - Method in interface org.tensorflow.proto.framework.OpPerformance.OpMemoryOrBuilder: Temp and persistent memory allocated by this node.
getTempMemorySize() - Method in class org.tensorflow.proto.framework.MemoryStats.Builder: int64 temp_memory_size = 1;
getTempMemorySize() - Method in class org.tensorflow.proto.framework.MemoryStats: int64 temp_memory_size = 1;
getTempMemorySize() - Method in interface org.tensorflow.proto.framework.MemoryStatsOrBuilder: int64 temp_memory_size = 1;
getTemporaryMemorySize() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Temporary memory used by this node.
getTemporaryMemorySize() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node: Temporary memory used by this node.
getTemporaryMemorySize() - Method in interface org.tensorflow.proto.framework.CostGraphDef.NodeOrBuilder: Temporary memory used by this node.
getTemporaryMemorySize() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: Temporary memory used by this node (in bytes).
getTemporaryMemorySize() - Method in class org.tensorflow.proto.framework.OpPerformance: Temporary memory used by this node (in bytes).
getTemporaryMemorySize() - Method in interface org.tensorflow.proto.framework.OpPerformanceOrBuilder: Temporary memory used by this node (in bytes).
getTensor(int) - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
getTensor(int) - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord: repeated .tensorflow.TensorProto tensor = 1;
getTensor(int) - Method in interface org.tensorflow.proto.data.experimental.SnapshotRecordOrBuilder: repeated .tensorflow.TensorProto tensor = 1;
getTensor() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "tensor"
getTensor() - Method in class org.tensorflow.proto.framework.AttrValue: "tensor"
getTensor(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(tensor)"
getTensor(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(tensor)"
getTensor(int) - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(tensor)"
getTensor() - Method in interface org.tensorflow.proto.framework.AttrValueOrBuilder: "tensor"
getTensor() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder: Allocated tensor details.
getTensor() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation: Allocated tensor details.
getTensor() - Method in interface org.tensorflow.proto.framework.MemoryLogTensorAllocationOrBuilder: Allocated tensor details.
getTensor() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder: Output tensor details.
getTensor() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput: Output tensor details.
getTensor() - Method in interface org.tensorflow.proto.framework.MemoryLogTensorOutputOrBuilder: Output tensor details.
getTensor() - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
getTensor() - Method in class org.tensorflow.proto.framework.NamedTensorProto: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
getTensor() - Method in interface org.tensorflow.proto.framework.NamedTensorProtoOrBuilder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
getTensor() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.TensorProto tensor = 8;
getTensor() - Method in class org.tensorflow.proto.framework.Summary.Value: .tensorflow.TensorProto tensor = 8;
getTensor() - Method in interface org.tensorflow.proto.framework.Summary.ValueOrBuilder: .tensorflow.TensorProto tensor = 8;
getTensor(int) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
getTensor(int) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta: Each SavedSliceMeta describes the slices for one tensor.
getTensor(int) - Method in interface org.tensorflow.proto.util.SavedTensorSliceMetaOrBuilder: Each SavedSliceMeta describes the slices for one tensor.
getTensorBuilder(int) - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
getTensorBuilder() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "tensor"
getTensorBuilder(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(tensor)"
getTensorBuilder() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder: Allocated tensor details.
getTensorBuilder() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder: Output tensor details.
getTensorBuilder() - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
getTensorBuilder() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.TensorProto tensor = 8;
getTensorBuilder(int) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
getTensorBuilderList() - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
getTensorBuilderList() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(tensor)"
getTensorBuilderList() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
getTensorConnection(int) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Tensors to be connected in the callable.
getTensorConnection(int) - Method in class org.tensorflow.proto.framework.CallableOptions: Tensors to be connected in the callable.
getTensorConnection(int) - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: Tensors to be connected in the callable.
getTensorConnectionBuilder(int) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Tensors to be connected in the callable.
getTensorConnectionBuilderList() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Tensors to be connected in the callable.
getTensorConnectionCount() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Tensors to be connected in the callable.
getTensorConnectionCount() - Method in class org.tensorflow.proto.framework.CallableOptions: Tensors to be connected in the callable.
getTensorConnectionCount() - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: Tensors to be connected in the callable.
getTensorConnectionList() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Tensors to be connected in the callable.
getTensorConnectionList() - Method in class org.tensorflow.proto.framework.CallableOptions: Tensors to be connected in the callable.
getTensorConnectionList() - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: Tensors to be connected in the callable.
getTensorConnectionOrBuilder(int) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Tensors to be connected in the callable.
getTensorConnectionOrBuilder(int) - Method in class org.tensorflow.proto.framework.CallableOptions: Tensors to be connected in the callable.
getTensorConnectionOrBuilder(int) - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: Tensors to be connected in the callable.
getTensorConnectionOrBuilderList() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Tensors to be connected in the callable.
getTensorConnectionOrBuilderList() - Method in class org.tensorflow.proto.framework.CallableOptions: Tensors to be connected in the callable.
getTensorConnectionOrBuilderList() - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: Tensors to be connected in the callable.
getTensorContent(int) - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra.Builder: repeated bytes tensor_content = 1;
getTensorContent(int) - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra: repeated bytes tensor_content = 1;
getTensorContent(int) - Method in interface org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtraOrBuilder: repeated bytes tensor_content = 1;
getTensorContent() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
getTensorContent() - Method in class org.tensorflow.proto.framework.TensorProto: Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
getTensorContent() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
getTensorContentCount() - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra.Builder: repeated bytes tensor_content = 1;
getTensorContentCount() - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra: repeated bytes tensor_content = 1;
getTensorContentCount() - Method in interface org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtraOrBuilder: repeated bytes tensor_content = 1;
getTensorContentList() - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra.Builder: repeated bytes tensor_content = 1;
getTensorContentList() - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra: repeated bytes tensor_content = 1;
getTensorContentList() - Method in interface org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtraOrBuilder: repeated bytes tensor_content = 1;
getTensorCount() - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
getTensorCount() - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord: repeated .tensorflow.TensorProto tensor = 1;
getTensorCount() - Method in interface org.tensorflow.proto.data.experimental.SnapshotRecordOrBuilder: repeated .tensorflow.TensorProto tensor = 1;
getTensorCount() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(tensor)"
getTensorCount() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(tensor)"
getTensorCount() - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(tensor)"
getTensorCount() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
getTensorCount() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta: Each SavedSliceMeta describes the slices for one tensor.
getTensorCount() - Method in interface org.tensorflow.proto.util.SavedTensorSliceMetaOrBuilder: Each SavedSliceMeta describes the slices for one tensor.
getTensorDebugMode() - Method in class org.tensorflow.proto.util.Execution.Builder: Type of the tensor value encapsulated in this proto.
getTensorDebugMode() - Method in class org.tensorflow.proto.util.Execution: Type of the tensor value encapsulated in this proto.
getTensorDebugMode() - Method in interface org.tensorflow.proto.util.ExecutionOrBuilder: Type of the tensor value encapsulated in this proto.
getTensorDebugMode() - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Type of the tensor value encapsulated in this proto.
getTensorDebugMode() - Method in class org.tensorflow.proto.util.GraphExecutionTrace: Type of the tensor value encapsulated in this proto.
getTensorDebugMode() - Method in interface org.tensorflow.proto.util.GraphExecutionTraceOrBuilder: Type of the tensor value encapsulated in this proto.
getTensorDebugModeValue() - Method in class org.tensorflow.proto.util.Execution.Builder: Type of the tensor value encapsulated in this proto.
getTensorDebugModeValue() - Method in class org.tensorflow.proto.util.Execution: Type of the tensor value encapsulated in this proto.
getTensorDebugModeValue() - Method in interface org.tensorflow.proto.util.ExecutionOrBuilder: Type of the tensor value encapsulated in this proto.
getTensorDebugModeValue() - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Type of the tensor value encapsulated in this proto.
getTensorDebugModeValue() - Method in class org.tensorflow.proto.util.GraphExecutionTrace: Type of the tensor value encapsulated in this proto.
getTensorDebugModeValue() - Method in interface org.tensorflow.proto.util.GraphExecutionTraceOrBuilder: Type of the tensor value encapsulated in this proto.
getTensorDescription() - Method in class org.tensorflow.proto.framework.NodeOutput.Builder: .tensorflow.TensorDescription tensor_description = 3;
getTensorDescription() - Method in class org.tensorflow.proto.framework.NodeOutput: .tensorflow.TensorDescription tensor_description = 3;
getTensorDescription() - Method in interface org.tensorflow.proto.framework.NodeOutputOrBuilder: .tensorflow.TensorDescription tensor_description = 3;
getTensorDescriptionBuilder() - Method in class org.tensorflow.proto.framework.NodeOutput.Builder: .tensorflow.TensorDescription tensor_description = 3;
getTensorDescriptionOrBuilder() - Method in class org.tensorflow.proto.framework.NodeOutput.Builder: .tensorflow.TensorDescription tensor_description = 3;
getTensorDescriptionOrBuilder() - Method in class org.tensorflow.proto.framework.NodeOutput: .tensorflow.TensorDescription tensor_description = 3;
getTensorDescriptionOrBuilder() - Method in interface org.tensorflow.proto.framework.NodeOutputOrBuilder: .tensorflow.TensorDescription tensor_description = 3;
getTensorDtypeValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents an enum value for dtype.
getTensorDtypeValue() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents an enum value for dtype.
getTensorDtypeValue() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents an enum value for dtype.
getTensorDtypeValueValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents an enum value for dtype.
getTensorDtypeValueValue() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents an enum value for dtype.
getTensorDtypeValueValue() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents an enum value for dtype.
getTensorflowGitVersion() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: The __git_version__ string of the tensorflow build used to write this graph.
getTensorflowGitVersion() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef: The __git_version__ string of the tensorflow build used to write this graph.
getTensorflowGitVersion() - Method in interface org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDefOrBuilder: The __git_version__ string of the tensorflow build used to write this graph.
getTensorflowGitVersionBytes() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: The __git_version__ string of the tensorflow build used to write this graph.
getTensorflowGitVersionBytes() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef: The __git_version__ string of the tensorflow build used to write this graph.
getTensorflowGitVersionBytes() - Method in interface org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDefOrBuilder: The __git_version__ string of the tensorflow build used to write this graph.
getTensorflowVersion() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: The __version__ string of the tensorflow build used to write this graph.
getTensorflowVersion() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef: The __version__ string of the tensorflow build used to write this graph.
getTensorflowVersion() - Method in interface org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDefOrBuilder: The __version__ string of the tensorflow build used to write this graph.
getTensorflowVersion() - Method in class org.tensorflow.proto.util.DebugMetadata.Builder: Version of TensorFlow.
getTensorflowVersion() - Method in class org.tensorflow.proto.util.DebugMetadata: Version of TensorFlow.
getTensorflowVersion() - Method in interface org.tensorflow.proto.util.DebugMetadataOrBuilder: Version of TensorFlow.
getTensorflowVersionBytes() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: The __version__ string of the tensorflow build used to write this graph.
getTensorflowVersionBytes() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef: The __version__ string of the tensorflow build used to write this graph.
getTensorflowVersionBytes() - Method in interface org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDefOrBuilder: The __version__ string of the tensorflow build used to write this graph.
getTensorflowVersionBytes() - Method in class org.tensorflow.proto.util.DebugMetadata.Builder: Version of TensorFlow.
getTensorflowVersionBytes() - Method in class org.tensorflow.proto.util.DebugMetadata: Version of TensorFlow.
getTensorflowVersionBytes() - Method in interface org.tensorflow.proto.util.DebugMetadataOrBuilder: Version of TensorFlow.
getTensorInfo() - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder: The tensor to bind the asset filename to.
getTensorInfo() - Method in class org.tensorflow.proto.framework.AssetFileDef: The tensor to bind the asset filename to.
getTensorInfo() - Method in interface org.tensorflow.proto.framework.AssetFileDefOrBuilder: The tensor to bind the asset filename to.
getTensorInfoBuilder() - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder: The tensor to bind the asset filename to.
getTensorInfoOrBuilder() - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder: The tensor to bind the asset filename to.
getTensorInfoOrBuilder() - Method in class org.tensorflow.proto.framework.AssetFileDef: The tensor to bind the asset filename to.
getTensorInfoOrBuilder() - Method in interface org.tensorflow.proto.framework.AssetFileDefOrBuilder: The tensor to bind the asset filename to.
getTensorList() - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
getTensorList() - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord: repeated .tensorflow.TensorProto tensor = 1;
getTensorList() - Method in interface org.tensorflow.proto.data.experimental.SnapshotRecordOrBuilder: repeated .tensorflow.TensorProto tensor = 1;
getTensorList() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(tensor)"
getTensorList() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(tensor)"
getTensorList() - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(tensor)"
getTensorList() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
getTensorList() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta: Each SavedSliceMeta describes the slices for one tensor.
getTensorList() - Method in interface org.tensorflow.proto.util.SavedTensorSliceMetaOrBuilder: Each SavedSliceMeta describes the slices for one tensor.
getTensorMetadata(int) - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadata(int) - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadata(int) - Method in interface org.tensorflow.proto.data.experimental.SnapshotTensorMetadataOrBuilder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadataBuilder(int) - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadataBuilderList() - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadataCount() - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadataCount() - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadataCount() - Method in interface org.tensorflow.proto.data.experimental.SnapshotTensorMetadataOrBuilder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadataList() - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadataList() - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadataList() - Method in interface org.tensorflow.proto.data.experimental.SnapshotTensorMetadataOrBuilder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadataOrBuilder(int) - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadataOrBuilder(int) - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadataOrBuilder(int) - Method in interface org.tensorflow.proto.data.experimental.SnapshotTensorMetadataOrBuilder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadataOrBuilderList() - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadataOrBuilderList() - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadataOrBuilderList() - Method in interface org.tensorflow.proto.data.experimental.SnapshotTensorMetadataOrBuilder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorOrBuilder(int) - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
getTensorOrBuilder(int) - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord: repeated .tensorflow.TensorProto tensor = 1;
getTensorOrBuilder(int) - Method in interface org.tensorflow.proto.data.experimental.SnapshotRecordOrBuilder: repeated .tensorflow.TensorProto tensor = 1;
getTensorOrBuilder() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "tensor"
getTensorOrBuilder() - Method in class org.tensorflow.proto.framework.AttrValue: "tensor"
getTensorOrBuilder(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(tensor)"
getTensorOrBuilder(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(tensor)"
getTensorOrBuilder(int) - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(tensor)"
getTensorOrBuilder() - Method in interface org.tensorflow.proto.framework.AttrValueOrBuilder: "tensor"
getTensorOrBuilder() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder: Allocated tensor details.
getTensorOrBuilder() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation: Allocated tensor details.
getTensorOrBuilder() - Method in interface org.tensorflow.proto.framework.MemoryLogTensorAllocationOrBuilder: Allocated tensor details.
getTensorOrBuilder() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder: Output tensor details.
getTensorOrBuilder() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput: Output tensor details.
getTensorOrBuilder() - Method in interface org.tensorflow.proto.framework.MemoryLogTensorOutputOrBuilder: Output tensor details.
getTensorOrBuilder() - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
getTensorOrBuilder() - Method in class org.tensorflow.proto.framework.NamedTensorProto: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
getTensorOrBuilder() - Method in interface org.tensorflow.proto.framework.NamedTensorProtoOrBuilder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
getTensorOrBuilder() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.TensorProto tensor = 8;
getTensorOrBuilder() - Method in class org.tensorflow.proto.framework.Summary.Value: .tensorflow.TensorProto tensor = 8;
getTensorOrBuilder() - Method in interface org.tensorflow.proto.framework.Summary.ValueOrBuilder: .tensorflow.TensorProto tensor = 8;
getTensorOrBuilder(int) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
getTensorOrBuilder(int) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta: Each SavedSliceMeta describes the slices for one tensor.
getTensorOrBuilder(int) - Method in interface org.tensorflow.proto.util.SavedTensorSliceMetaOrBuilder: Each SavedSliceMeta describes the slices for one tensor.
getTensorOrBuilderList() - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
getTensorOrBuilderList() - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord: repeated .tensorflow.TensorProto tensor = 1;
getTensorOrBuilderList() - Method in interface org.tensorflow.proto.data.experimental.SnapshotRecordOrBuilder: repeated .tensorflow.TensorProto tensor = 1;
getTensorOrBuilderList() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(tensor)"
getTensorOrBuilderList() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(tensor)"
getTensorOrBuilderList() - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(tensor)"
getTensorOrBuilderList() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
getTensorOrBuilderList() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta: Each SavedSliceMeta describes the slices for one tensor.
getTensorOrBuilderList() - Method in interface org.tensorflow.proto.util.SavedTensorSliceMetaOrBuilder: Each SavedSliceMeta describes the slices for one tensor.
getTensorProto() - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Tensor value in the type described by `tensor_value_type`.
getTensorProto() - Method in class org.tensorflow.proto.util.GraphExecutionTrace: Tensor value in the type described by `tensor_value_type`.
getTensorProto() - Method in interface org.tensorflow.proto.util.GraphExecutionTraceOrBuilder: Tensor value in the type described by `tensor_value_type`.
getTensorProtoBuilder() - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Tensor value in the type described by `tensor_value_type`.
getTensorProtoOrBuilder() - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Tensor value in the type described by `tensor_value_type`.
getTensorProtoOrBuilder() - Method in class org.tensorflow.proto.util.GraphExecutionTrace: Tensor value in the type described by `tensor_value_type`.
getTensorProtoOrBuilder() - Method in interface org.tensorflow.proto.util.GraphExecutionTraceOrBuilder: Tensor value in the type described by `tensor_value_type`.
getTensorProtos(int) - Method in class org.tensorflow.proto.util.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtos(int) - Method in class org.tensorflow.proto.util.Execution: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtos(int) - Method in interface org.tensorflow.proto.util.ExecutionOrBuilder: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtosBuilder(int) - Method in class org.tensorflow.proto.util.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtosBuilderList() - Method in class org.tensorflow.proto.util.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtosCount() - Method in class org.tensorflow.proto.util.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtosCount() - Method in class org.tensorflow.proto.util.Execution: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtosCount() - Method in interface org.tensorflow.proto.util.ExecutionOrBuilder: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtosList() - Method in class org.tensorflow.proto.util.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtosList() - Method in class org.tensorflow.proto.util.Execution: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtosList() - Method in interface org.tensorflow.proto.util.ExecutionOrBuilder: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtosOrBuilder(int) - Method in class org.tensorflow.proto.util.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtosOrBuilder(int) - Method in class org.tensorflow.proto.util.Execution: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtosOrBuilder(int) - Method in interface org.tensorflow.proto.util.ExecutionOrBuilder: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtosOrBuilderList() - Method in class org.tensorflow.proto.util.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtosOrBuilderList() - Method in class org.tensorflow.proto.util.Execution: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtosOrBuilderList() - Method in interface org.tensorflow.proto.util.ExecutionOrBuilder: Output Tensor values in the type described by `tensor_value_type`.
getTensors(int) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
getTensors(int) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto: Tensors contained within objects being serialized.
getTensors(int) - Method in interface org.tensorflow.proto.framework.VariantTensorDataProtoOrBuilder: Tensors contained within objects being serialized.
getTensorsBuilder(int) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
getTensorsBuilderList() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
getTensorsCount() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
getTensorsCount() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto: Tensors contained within objects being serialized.
getTensorsCount() - Method in interface org.tensorflow.proto.framework.VariantTensorDataProtoOrBuilder: Tensors contained within objects being serialized.
getTensorShape() - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder: .tensorflow.TensorShapeProto tensor_shape = 2;
getTensorShape() - Method in class org.tensorflow.proto.data.experimental.TensorMetadata: .tensorflow.TensorShapeProto tensor_shape = 2;
getTensorShape() - Method in interface org.tensorflow.proto.data.experimental.TensorMetadataOrBuilder: .tensorflow.TensorShapeProto tensor_shape = 2;
getTensorShape() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: The static shape should be recorded here, to the extent that it can be known in advance.
getTensorShape() - Method in class org.tensorflow.proto.framework.TensorInfo: The static shape should be recorded here, to the extent that it can be known in advance.
getTensorShape() - Method in interface org.tensorflow.proto.framework.TensorInfoOrBuilder: The static shape should be recorded here, to the extent that it can be known in advance.
getTensorShape() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: Shape of the tensor.
getTensorShape() - Method in class org.tensorflow.proto.framework.TensorProto: Shape of the tensor.
getTensorShape() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: Shape of the tensor.
getTensorShapeBuilder() - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder: .tensorflow.TensorShapeProto tensor_shape = 2;
getTensorShapeBuilder() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: The static shape should be recorded here, to the extent that it can be known in advance.
getTensorShapeBuilder() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: Shape of the tensor.
getTensorShapeOrBuilder() - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder: .tensorflow.TensorShapeProto tensor_shape = 2;
getTensorShapeOrBuilder() - Method in class org.tensorflow.proto.data.experimental.TensorMetadata: .tensorflow.TensorShapeProto tensor_shape = 2;
getTensorShapeOrBuilder() - Method in interface org.tensorflow.proto.data.experimental.TensorMetadataOrBuilder: .tensorflow.TensorShapeProto tensor_shape = 2;
getTensorShapeOrBuilder() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: The static shape should be recorded here, to the extent that it can be known in advance.
getTensorShapeOrBuilder() - Method in class org.tensorflow.proto.framework.TensorInfo: The static shape should be recorded here, to the extent that it can be known in advance.
getTensorShapeOrBuilder() - Method in interface org.tensorflow.proto.framework.TensorInfoOrBuilder: The static shape should be recorded here, to the extent that it can be known in advance.
getTensorShapeOrBuilder() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: Shape of the tensor.
getTensorShapeOrBuilder() - Method in class org.tensorflow.proto.framework.TensorProto: Shape of the tensor.
getTensorShapeOrBuilder() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: Shape of the tensor.
getTensorShapeValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a TensorShape.
getTensorShapeValue() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents a TensorShape.
getTensorShapeValue() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents a TensorShape.
getTensorShapeValueBuilder() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a TensorShape.
getTensorShapeValueOrBuilder() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a TensorShape.
getTensorShapeValueOrBuilder() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents a TensorShape.
getTensorShapeValueOrBuilder() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents a TensorShape.
getTensorSizeBytes() - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder: Number of uncompressed bytes used to store the tensor representation.
getTensorSizeBytes() - Method in class org.tensorflow.proto.data.experimental.TensorMetadata: Number of uncompressed bytes used to store the tensor representation.
getTensorSizeBytes() - Method in interface org.tensorflow.proto.data.experimental.TensorMetadataOrBuilder: Number of uncompressed bytes used to store the tensor representation.
getTensorsList() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
getTensorsList() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto: Tensors contained within objects being serialized.
getTensorsList() - Method in interface org.tensorflow.proto.framework.VariantTensorDataProtoOrBuilder: Tensors contained within objects being serialized.
getTensorsOrBuilder(int) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
getTensorsOrBuilder(int) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto: Tensors contained within objects being serialized.
getTensorsOrBuilder(int) - Method in interface org.tensorflow.proto.framework.VariantTensorDataProtoOrBuilder: Tensors contained within objects being serialized.
getTensorsOrBuilderList() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
getTensorsOrBuilderList() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto: Tensors contained within objects being serialized.
getTensorsOrBuilderList() - Method in interface org.tensorflow.proto.framework.VariantTensorDataProtoOrBuilder: Tensors contained within objects being serialized.
getTensorSpecValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a value for tf.TensorSpec.
getTensorSpecValue() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents a value for tf.TensorSpec.
getTensorSpecValue() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents a value for tf.TensorSpec.
getTensorSpecValueBuilder() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a value for tf.TensorSpec.
getTensorSpecValueOrBuilder() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a value for tf.TensorSpec.
getTensorSpecValueOrBuilder() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents a value for tf.TensorSpec.
getTensorSpecValueOrBuilder() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents a value for tf.TensorSpec.
getTfdbgContextId() - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Unique ID of the context that the executed op(s) belong to (e.g., a compiled concrete tf.function).
getTfdbgContextId() - Method in class org.tensorflow.proto.util.GraphExecutionTrace: Unique ID of the context that the executed op(s) belong to (e.g., a compiled concrete tf.function).
getTfdbgContextId() - Method in interface org.tensorflow.proto.util.GraphExecutionTraceOrBuilder: Unique ID of the context that the executed op(s) belong to (e.g., a compiled concrete tf.function).
getTfdbgContextIdBytes() - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Unique ID of the context that the executed op(s) belong to (e.g., a compiled concrete tf.function).
getTfdbgContextIdBytes() - Method in class org.tensorflow.proto.util.GraphExecutionTrace: Unique ID of the context that the executed op(s) belong to (e.g., a compiled concrete tf.function).
getTfdbgContextIdBytes() - Method in interface org.tensorflow.proto.util.GraphExecutionTraceOrBuilder: Unique ID of the context that the executed op(s) belong to (e.g., a compiled concrete tf.function).
getTfdbgRunId() - Method in class org.tensorflow.proto.util.DebugMetadata.Builder: A unique ID for the current run of tfdbg.
getTfdbgRunId() - Method in class org.tensorflow.proto.util.DebugMetadata: A unique ID for the current run of tfdbg.
getTfdbgRunId() - Method in interface org.tensorflow.proto.util.DebugMetadataOrBuilder: A unique ID for the current run of tfdbg.
getTfdbgRunIdBytes() - Method in class org.tensorflow.proto.util.DebugMetadata.Builder: A unique ID for the current run of tfdbg.
getTfdbgRunIdBytes() - Method in class org.tensorflow.proto.util.DebugMetadata: A unique ID for the current run of tfdbg.
getTfdbgRunIdBytes() - Method in interface org.tensorflow.proto.util.DebugMetadataOrBuilder: A unique ID for the current run of tfdbg.
getTfVersion() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: TensorFlow version this benchmark runs against.
getTfVersion() - Method in class org.tensorflow.proto.util.testlog.TestResults: TensorFlow version this benchmark runs against.
getTfVersion() - Method in interface org.tensorflow.proto.util.testlog.TestResultsOrBuilder: TensorFlow version this benchmark runs against.
getTfVersionBytes() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: TensorFlow version this benchmark runs against.
getTfVersionBytes() - Method in class org.tensorflow.proto.util.testlog.TestResults: TensorFlow version this benchmark runs against.
getTfVersionBytes() - Method in interface org.tensorflow.proto.util.testlog.TestResultsOrBuilder: TensorFlow version this benchmark runs against.
getThreadId() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: uint32 thread_id = 10;
getThreadId() - Method in class org.tensorflow.proto.framework.NodeExecStats: uint32 thread_id = 10;
getThreadId() - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: uint32 thread_id = 10;
getThreadingOptions() - Method in class org.tensorflow.proto.data.Options.Builder: The threading options associated with the dataset.
getThreadingOptions() - Method in class org.tensorflow.proto.data.Options: The threading options associated with the dataset.
getThreadingOptions() - Method in interface org.tensorflow.proto.data.OptionsOrBuilder: The threading options associated with the dataset.
getThreadingOptionsBuilder() - Method in class org.tensorflow.proto.data.Options.Builder: The threading options associated with the dataset.
getThreadingOptionsOrBuilder() - Method in class org.tensorflow.proto.data.Options.Builder: The threading options associated with the dataset.
getThreadingOptionsOrBuilder() - Method in class org.tensorflow.proto.data.Options: The threading options associated with the dataset.
getThreadingOptionsOrBuilder() - Method in interface org.tensorflow.proto.data.OptionsOrBuilder: The threading options associated with the dataset.
getThreadNames() - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: Deprecated.
getThreadNames() - Method in class org.tensorflow.proto.framework.DeviceStepStats: Deprecated.
getThreadNames() - Method in interface org.tensorflow.proto.framework.DeviceStepStatsOrBuilder: Deprecated.
getThreadNamesCount() - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder
getThreadNamesCount() - Method in class org.tensorflow.proto.framework.DeviceStepStats
getThreadNamesCount() - Method in interface org.tensorflow.proto.framework.DeviceStepStatsOrBuilder: Its key is thread id.
getThreadNamesMap() - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: Its key is thread id.
getThreadNamesMap() - Method in class org.tensorflow.proto.framework.DeviceStepStats: Its key is thread id.
getThreadNamesMap() - Method in interface org.tensorflow.proto.framework.DeviceStepStatsOrBuilder: Its key is thread id.
getThreadNamesOrDefault(int, String) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: Its key is thread id.
getThreadNamesOrDefault(int, String) - Method in class org.tensorflow.proto.framework.DeviceStepStats: Its key is thread id.
getThreadNamesOrDefault(int, String) - Method in interface org.tensorflow.proto.framework.DeviceStepStatsOrBuilder: Its key is thread id.
getThreadNamesOrThrow(int) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: Its key is thread id.
getThreadNamesOrThrow(int) - Method in class org.tensorflow.proto.framework.DeviceStepStats: Its key is thread id.
getThreadNamesOrThrow(int) - Method in interface org.tensorflow.proto.framework.DeviceStepStatsOrBuilder: Its key is thread id.
getThroughput() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Throughput (in MB/s)
getThroughput() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry: Throughput (in MB/s)
getThroughput() - Method in interface org.tensorflow.proto.util.testlog.BenchmarkEntryOrBuilder: Throughput (in MB/s)
getTimelineLabel() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: string timeline_label = 8;
getTimelineLabel() - Method in class org.tensorflow.proto.framework.NodeExecStats: string timeline_label = 8;
getTimelineLabel() - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: string timeline_label = 8;
getTimelineLabelBytes() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: string timeline_label = 8;
getTimelineLabelBytes() - Method in class org.tensorflow.proto.framework.NodeExecStats: string timeline_label = 8;
getTimelineLabelBytes() - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: string timeline_label = 8;
getTimelineStep() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: If > 0, record a timeline every this many steps.
getTimelineStep() - Method in class org.tensorflow.proto.framework.GraphOptions: If > 0, record a timeline every this many steps.
getTimelineStep() - Method in interface org.tensorflow.proto.framework.GraphOptionsOrBuilder: If > 0, record a timeline every this many steps.
getTimeoutInMs() - Method in class org.tensorflow.proto.framework.RunOptions.Builder: Time to wait for operation to complete in milliseconds.
getTimeoutInMs() - Method in class org.tensorflow.proto.framework.RunOptions: Time to wait for operation to complete in milliseconds.
getTimeoutInMs() - Method in interface org.tensorflow.proto.framework.RunOptionsOrBuilder: Time to wait for operation to complete in milliseconds.
getTimeoutMs() - Method in class org.tensorflow.proto.util.WatchdogConfig.Builder: int64 timeout_ms = 1;
getTimeoutMs() - Method in class org.tensorflow.proto.util.WatchdogConfig: int64 timeout_ms = 1;
getTimeoutMs() - Method in interface org.tensorflow.proto.util.WatchdogConfigOrBuilder: int64 timeout_ms = 1;
getTimestampedAllocator() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: If true then extra work is done by GPUDevice and GPUBFCAllocator to keep track of when GPU memory is freed and when kernels actually complete so that we can know when a nominally free memory chunk is really not subject to pending use.
getTimestampedAllocator() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental: If true then extra work is done by GPUDevice and GPUBFCAllocator to keep track of when GPU memory is freed and when kernels actually complete so that we can know when a nominally free memory chunk is really not subject to pending use.
getTimestampedAllocator() - Method in interface org.tensorflow.proto.framework.GPUOptions.ExperimentalOrBuilder: If true then extra work is done by GPUDevice and GPUBFCAllocator to keep track of when GPU memory is freed and when kernels actually complete so that we can know when a nominally free memory chunk is really not subject to pending use.
getTimestampNs() - Method in class org.tensorflow.proto.profiler.XLine.Builder: Start time of this line in nanoseconds since the UNIX epoch.
getTimestampNs() - Method in class org.tensorflow.proto.profiler.XLine: Start time of this line in nanoseconds since the UNIX epoch.
getTimestampNs() - Method in interface org.tensorflow.proto.profiler.XLineOrBuilder: Start time of this line in nanoseconds since the UNIX epoch.
getTolerateDebugOpCreationFailures() - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: Do not error out if debug op creation fails (e.g., due to dtype incompatibility).
getTolerateDebugOpCreationFailures() - Method in class org.tensorflow.proto.framework.DebugTensorWatch: Do not error out if debug op creation fails (e.g., due to dtype incompatibility).
getTolerateDebugOpCreationFailures() - Method in interface org.tensorflow.proto.framework.DebugTensorWatchOrBuilder: Do not error out if debug op creation fails (e.g., due to dtype incompatibility).
getTotal() - Method in class org.tensorflow.proto.util.testlog.MemoryInfo.Builder: Total virtual memory in bytes
getTotal() - Method in class org.tensorflow.proto.util.testlog.MemoryInfo: Total virtual memory in bytes
getTotal() - Method in interface org.tensorflow.proto.util.testlog.MemoryInfoOrBuilder: Total virtual memory in bytes
getTotalBytes() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: These are per-node allocator memory stats.
getTotalBytes() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed: These are per-node allocator memory stats.
getTotalBytes() - Method in interface org.tensorflow.proto.framework.AllocatorMemoryUsedOrBuilder: These are per-node allocator memory stats.
getTotalBytesInBin() - Method in class org.tensorflow.proto.util.BinSummary.Builder: int64 total_bytes_in_bin = 3;
getTotalBytesInBin() - Method in class org.tensorflow.proto.util.BinSummary: int64 total_bytes_in_bin = 3;
getTotalBytesInBin() - Method in interface org.tensorflow.proto.util.BinSummaryOrBuilder: int64 total_bytes_in_bin = 3;
getTotalBytesInUse() - Method in class org.tensorflow.proto.util.BinSummary.Builder: int64 total_bytes_in_use = 2;
getTotalBytesInUse() - Method in class org.tensorflow.proto.util.BinSummary: int64 total_bytes_in_use = 2;
getTotalBytesInUse() - Method in interface org.tensorflow.proto.util.BinSummaryOrBuilder: int64 total_bytes_in_use = 2;
getTotalChunksInBin() - Method in class org.tensorflow.proto.util.BinSummary.Builder: int64 total_chunks_in_bin = 5;
getTotalChunksInBin() - Method in class org.tensorflow.proto.util.BinSummary: int64 total_chunks_in_bin = 5;
getTotalChunksInBin() - Method in interface org.tensorflow.proto.util.BinSummaryOrBuilder: int64 total_chunks_in_bin = 5;
getTotalChunksInUse() - Method in class org.tensorflow.proto.util.BinSummary.Builder: int64 total_chunks_in_use = 4;
getTotalChunksInUse() - Method in class org.tensorflow.proto.util.BinSummary: int64 total_chunks_in_use = 4;
getTotalChunksInUse() - Method in interface org.tensorflow.proto.util.BinSummaryOrBuilder: int64 total_chunks_in_use = 4;
getToTensor() - Method in class org.tensorflow.proto.framework.TensorConnection.Builder: A tensor name.
getToTensor() - Method in class org.tensorflow.proto.framework.TensorConnection: A tensor name.
getToTensor() - Method in interface org.tensorflow.proto.framework.TensorConnectionOrBuilder: A tensor name.
getToTensorBytes() - Method in class org.tensorflow.proto.framework.TensorConnection.Builder: A tensor name.
getToTensorBytes() - Method in class org.tensorflow.proto.framework.TensorConnection: A tensor name.
getToTensorBytes() - Method in interface org.tensorflow.proto.framework.TensorConnectionOrBuilder: A tensor name.
getTraceLevel() - Method in class org.tensorflow.proto.framework.RunOptions.Builder: .tensorflow.RunOptions.TraceLevel trace_level = 1;
getTraceLevel() - Method in class org.tensorflow.proto.framework.RunOptions: .tensorflow.RunOptions.TraceLevel trace_level = 1;
getTraceLevel() - Method in interface org.tensorflow.proto.framework.RunOptionsOrBuilder: .tensorflow.RunOptions.TraceLevel trace_level = 1;
getTraceLevelValue() - Method in class org.tensorflow.proto.framework.RunOptions.Builder: .tensorflow.RunOptions.TraceLevel trace_level = 1;
getTraceLevelValue() - Method in class org.tensorflow.proto.framework.RunOptions: .tensorflow.RunOptions.TraceLevel trace_level = 1;
getTraceLevelValue() - Method in interface org.tensorflow.proto.framework.RunOptionsOrBuilder: .tensorflow.RunOptions.TraceLevel trace_level = 1;
getTraces() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder: Deprecated.
getTraces() - Method in class org.tensorflow.proto.framework.GraphDebugInfo: Deprecated.
getTraces() - Method in interface org.tensorflow.proto.framework.GraphDebugInfoOrBuilder: Deprecated.
getTracesCount() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder
getTracesCount() - Method in class org.tensorflow.proto.framework.GraphDebugInfo
getTracesCount() - Method in interface org.tensorflow.proto.framework.GraphDebugInfoOrBuilder: This maps a node name to a stack trace in the source code.
getTracesMap() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder: This maps a node name to a stack trace in the source code.
getTracesMap() - Method in class org.tensorflow.proto.framework.GraphDebugInfo: This maps a node name to a stack trace in the source code.
getTracesMap() - Method in interface org.tensorflow.proto.framework.GraphDebugInfoOrBuilder: This maps a node name to a stack trace in the source code.
getTracesOrDefault(String, GraphDebugInfo.StackTrace) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder: This maps a node name to a stack trace in the source code.
getTracesOrDefault(String, GraphDebugInfo.StackTrace) - Method in class org.tensorflow.proto.framework.GraphDebugInfo: This maps a node name to a stack trace in the source code.
getTracesOrDefault(String, GraphDebugInfo.StackTrace) - Method in interface org.tensorflow.proto.framework.GraphDebugInfoOrBuilder: This maps a node name to a stack trace in the source code.
getTracesOrThrow(String) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder: This maps a node name to a stack trace in the source code.
getTracesOrThrow(String) - Method in class org.tensorflow.proto.framework.GraphDebugInfo: This maps a node name to a stack trace in the source code.
getTracesOrThrow(String) - Method in interface org.tensorflow.proto.framework.GraphDebugInfoOrBuilder: This maps a node name to a stack trace in the source code.
getTrainable() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: bool trainable = 3;
getTrainable() - Method in class org.tensorflow.proto.framework.SavedVariable: bool trainable = 3;
getTrainable() - Method in interface org.tensorflow.proto.framework.SavedVariableOrBuilder: bool trainable = 3;
getTrainable() - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Whether this variable should be trained.
getTrainable() - Method in class org.tensorflow.proto.framework.VariableDef: Whether this variable should be trained.
getTrainable() - Method in interface org.tensorflow.proto.framework.VariableDefOrBuilder: Whether this variable should be trained.
getTunable() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder: Identifies whether the parameter should participate in autotuning.
getTunable() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter: Identifies whether the parameter should participate in autotuning.
getTunable() - Method in interface org.tensorflow.proto.data.model.ModelProto.Node.ParameterOrBuilder: Identifies whether the parameter should participate in autotuning.
getTupleValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a tuple of `Value`.
getTupleValue() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents a tuple of `Value`.
getTupleValue() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents a tuple of `Value`.
getTupleValueBuilder() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a tuple of `Value`.
getTupleValueOrBuilder() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a tuple of `Value`.
getTupleValueOrBuilder() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents a tuple of `Value`.
getTupleValueOrBuilder() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents a tuple of `Value`.
getType() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "type"
getType() - Method in class org.tensorflow.proto.framework.AttrValue: "type"
getType(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(type)"
getType(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(type)"
getType(int) - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(type)"
getType() - Method in interface org.tensorflow.proto.framework.AttrValueOrBuilder: "type"
getType() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Device type (CPU, GPU, ...)
getType() - Method in class org.tensorflow.proto.framework.DeviceProperties: Device type (CPU, GPU, ...)
getType() - Method in interface org.tensorflow.proto.framework.DevicePropertiesOrBuilder: Device type (CPU, GPU, ...)
getType() - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder: string type = 2;
getType() - Method in class org.tensorflow.proto.framework.InterconnectLink: string type = 2;
getType() - Method in interface org.tensorflow.proto.framework.InterconnectLinkOrBuilder: string type = 2;
getType() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: Describes the type of one or more tensors that are accepted/produced by this input/output arg.
getType() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef: Describes the type of one or more tensors that are accepted/produced by this input/output arg.
getType() - Method in interface org.tensorflow.proto.framework.OpDef.ArgDefOrBuilder: Describes the type of one or more tensors that are accepted/produced by this input/output arg.
getType() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).
getType() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef: One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).
getType() - Method in interface org.tensorflow.proto.framework.OpDef.AttrDefOrBuilder: One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).
getType() - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Type of the tensor
getType() - Method in class org.tensorflow.proto.util.SavedSliceMeta: Type of the tensor
getType() - Method in interface org.tensorflow.proto.util.SavedSliceMetaOrBuilder: Type of the tensor
getType() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder: Device type, e.g.
getType() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo: Device type, e.g.
getType() - Method in interface org.tensorflow.proto.util.testlog.AvailableDeviceInfoOrBuilder: Device type, e.g.
getTypeAttr() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: if specified, attr must have type "type"
getTypeAttr() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef: if specified, attr must have type "type"
getTypeAttr() - Method in interface org.tensorflow.proto.framework.OpDef.ArgDefOrBuilder: if specified, attr must have type "type"
getTypeAttrBytes() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: if specified, attr must have type "type"
getTypeAttrBytes() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef: if specified, attr must have type "type"
getTypeAttrBytes() - Method in interface org.tensorflow.proto.framework.OpDef.ArgDefOrBuilder: if specified, attr must have type "type"
getTypeBytes() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Device type (CPU, GPU, ...)
getTypeBytes() - Method in class org.tensorflow.proto.framework.DeviceProperties: Device type (CPU, GPU, ...)
getTypeBytes() - Method in interface org.tensorflow.proto.framework.DevicePropertiesOrBuilder: Device type (CPU, GPU, ...)
getTypeBytes() - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder: string type = 2;
getTypeBytes() - Method in class org.tensorflow.proto.framework.InterconnectLink: string type = 2;
getTypeBytes() - Method in interface org.tensorflow.proto.framework.InterconnectLinkOrBuilder: string type = 2;
getTypeBytes() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).
getTypeBytes() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef: One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).
getTypeBytes() - Method in interface org.tensorflow.proto.framework.OpDef.AttrDefOrBuilder: One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).
getTypeBytes() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder: Device type, e.g.
getTypeBytes() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo: Device type, e.g.
getTypeBytes() - Method in interface org.tensorflow.proto.util.testlog.AvailableDeviceInfoOrBuilder: Device type, e.g.
getTypeCount() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(type)"
getTypeCount() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(type)"
getTypeCount() - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(type)"
getTypeHint() - Method in class org.tensorflow.proto.framework.SummaryDescription.Builder: Hint on how plugins should process the data in this series.
getTypeHint() - Method in class org.tensorflow.proto.framework.SummaryDescription: Hint on how plugins should process the data in this series.
getTypeHint() - Method in interface org.tensorflow.proto.framework.SummaryDescriptionOrBuilder: Hint on how plugins should process the data in this series.
getTypeHintBytes() - Method in class org.tensorflow.proto.framework.SummaryDescription.Builder: Hint on how plugins should process the data in this series.
getTypeHintBytes() - Method in class org.tensorflow.proto.framework.SummaryDescription: Hint on how plugins should process the data in this series.
getTypeHintBytes() - Method in interface org.tensorflow.proto.framework.SummaryDescriptionOrBuilder: Hint on how plugins should process the data in this series.
getTypeId() - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: The principal type represented by this object.
getTypeId() - Method in class org.tensorflow.proto.framework.FullTypeDef: The principal type represented by this object.
getTypeId() - Method in interface org.tensorflow.proto.framework.FullTypeDefOrBuilder: The principal type represented by this object.
getTypeIdValue() - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: The principal type represented by this object.
getTypeIdValue() - Method in class org.tensorflow.proto.framework.FullTypeDef: The principal type represented by this object.
getTypeIdValue() - Method in interface org.tensorflow.proto.framework.FullTypeDefOrBuilder: The principal type represented by this object.
getTypeList() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(type)"
getTypeList() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(type)"
getTypeList() - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(type)"
getTypeListAttr() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.
getTypeListAttr() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef: If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.
getTypeListAttr() - Method in interface org.tensorflow.proto.framework.OpDef.ArgDefOrBuilder: If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.
getTypeListAttrBytes() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.
getTypeListAttrBytes() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef: If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.
getTypeListAttrBytes() - Method in interface org.tensorflow.proto.framework.OpDef.ArgDefOrBuilder: If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.
getTypeName() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder: string type_name = 3;
getTypeName() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo: string type_name = 3;
getTypeName() - Method in interface org.tensorflow.proto.framework.GraphTransferNodeInfoOrBuilder: string type_name = 3;
getTypeName() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder: Name of the type of objects being serialized.
getTypeName() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto: Name of the type of objects being serialized.
getTypeName() - Method in interface org.tensorflow.proto.framework.VariantTensorDataProtoOrBuilder: Name of the type of objects being serialized.
getTypeNameBytes() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder: string type_name = 3;
getTypeNameBytes() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo: string type_name = 3;
getTypeNameBytes() - Method in interface org.tensorflow.proto.framework.GraphTransferNodeInfoOrBuilder: string type_name = 3;
getTypeNameBytes() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder: Name of the type of objects being serialized.
getTypeNameBytes() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto: Name of the type of objects being serialized.
getTypeNameBytes() - Method in interface org.tensorflow.proto.framework.VariantTensorDataProtoOrBuilder: Name of the type of objects being serialized.
getTypeSpec() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder: The serialized TypeSpec for the composite tensor.
getTypeSpec() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor: The serialized TypeSpec for the composite tensor.
getTypeSpec() - Method in interface org.tensorflow.proto.framework.TensorInfo.CompositeTensorOrBuilder: The serialized TypeSpec for the composite tensor.
getTypeSpecBuilder() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder: The serialized TypeSpec for the composite tensor.
getTypeSpecClass() - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder: .tensorflow.TypeSpecProto.TypeSpecClass type_spec_class = 1;
getTypeSpecClass() - Method in class org.tensorflow.proto.framework.TypeSpecProto: .tensorflow.TypeSpecProto.TypeSpecClass type_spec_class = 1;
getTypeSpecClass() - Method in interface org.tensorflow.proto.framework.TypeSpecProtoOrBuilder: .tensorflow.TypeSpecProto.TypeSpecClass type_spec_class = 1;
getTypeSpecClassName() - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder: The name of the TypeSpec class.
getTypeSpecClassName() - Method in class org.tensorflow.proto.framework.TypeSpecProto: The name of the TypeSpec class.
getTypeSpecClassName() - Method in interface org.tensorflow.proto.framework.TypeSpecProtoOrBuilder: The name of the TypeSpec class.
getTypeSpecClassNameBytes() - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder: The name of the TypeSpec class.
getTypeSpecClassNameBytes() - Method in class org.tensorflow.proto.framework.TypeSpecProto: The name of the TypeSpec class.
getTypeSpecClassNameBytes() - Method in interface org.tensorflow.proto.framework.TypeSpecProtoOrBuilder: The name of the TypeSpec class.
getTypeSpecClassValue() - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder: .tensorflow.TypeSpecProto.TypeSpecClass type_spec_class = 1;
getTypeSpecClassValue() - Method in class org.tensorflow.proto.framework.TypeSpecProto: .tensorflow.TypeSpecProto.TypeSpecClass type_spec_class = 1;
getTypeSpecClassValue() - Method in interface org.tensorflow.proto.framework.TypeSpecProtoOrBuilder: .tensorflow.TypeSpecProto.TypeSpecClass type_spec_class = 1;
getTypeSpecOrBuilder() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder: The serialized TypeSpec for the composite tensor.
getTypeSpecOrBuilder() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor: The serialized TypeSpec for the composite tensor.
getTypeSpecOrBuilder() - Method in interface org.tensorflow.proto.framework.TensorInfo.CompositeTensorOrBuilder: The serialized TypeSpec for the composite tensor.
getTypeSpecProto() - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder: .tensorflow.TypeSpecProto type_spec_proto = 1;
getTypeSpecProto() - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata: .tensorflow.TypeSpecProto type_spec_proto = 1;
getTypeSpecProto() - Method in interface org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadataOrBuilder: .tensorflow.TypeSpecProto type_spec_proto = 1;
getTypeSpecProtoBuilder() - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder: .tensorflow.TypeSpecProto type_spec_proto = 1;
getTypeSpecProtoOrBuilder() - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder: .tensorflow.TypeSpecProto type_spec_proto = 1;
getTypeSpecProtoOrBuilder() - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata: .tensorflow.TypeSpecProto type_spec_proto = 1;
getTypeSpecProtoOrBuilder() - Method in interface org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadataOrBuilder: .tensorflow.TypeSpecProto type_spec_proto = 1;
getTypeSpecValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a value for tf.TypeSpec.
getTypeSpecValue() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents a value for tf.TypeSpec.
getTypeSpecValue() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents a value for tf.TypeSpec.
getTypeSpecValueBuilder() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a value for tf.TypeSpec.
getTypeSpecValueOrBuilder() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a value for tf.TypeSpec.
getTypeSpecValueOrBuilder() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents a value for tf.TypeSpec.
getTypeSpecValueOrBuilder() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents a value for tf.TypeSpec.
getTypeState() - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder: The value returned by TypeSpec._serialize().
getTypeState() - Method in class org.tensorflow.proto.framework.TypeSpecProto: The value returned by TypeSpec._serialize().
getTypeState() - Method in interface org.tensorflow.proto.framework.TypeSpecProtoOrBuilder: The value returned by TypeSpec._serialize().
getTypeStateBuilder() - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder: The value returned by TypeSpec._serialize().
getTypeStateOrBuilder() - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder: The value returned by TypeSpec._serialize().
getTypeStateOrBuilder() - Method in class org.tensorflow.proto.framework.TypeSpecProto: The value returned by TypeSpec._serialize().
getTypeStateOrBuilder() - Method in interface org.tensorflow.proto.framework.TypeSpecProtoOrBuilder: The value returned by TypeSpec._serialize().
getTypeValue() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "type"
getTypeValue() - Method in class org.tensorflow.proto.framework.AttrValue: "type"
getTypeValue(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(type)"
getTypeValue(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(type)"
getTypeValue(int) - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(type)"
getTypeValue() - Method in interface org.tensorflow.proto.framework.AttrValueOrBuilder: "type"
getTypeValue() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: Describes the type of one or more tensors that are accepted/produced by this input/output arg.
getTypeValue() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef: Describes the type of one or more tensors that are accepted/produced by this input/output arg.
getTypeValue() - Method in interface org.tensorflow.proto.framework.OpDef.ArgDefOrBuilder: Describes the type of one or more tensors that are accepted/produced by this input/output arg.
getTypeValue() - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Type of the tensor
getTypeValue() - Method in class org.tensorflow.proto.util.SavedSliceMeta: Type of the tensor
getTypeValue() - Method in interface org.tensorflow.proto.util.SavedSliceMetaOrBuilder: Type of the tensor
getTypeValueList() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(type)"
getTypeValueList() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue: "list(type)"
getTypeValueList() - Method in interface org.tensorflow.proto.framework.AttrValue.ListValueOrBuilder: "list(type)"
getUint32Val(int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_UINT32
getUint32Val(int) - Method in class org.tensorflow.proto.framework.TensorProto: DT_UINT32
getUint32Val(int) - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_UINT32
getUint32ValCount() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_UINT32
getUint32ValCount() - Method in class org.tensorflow.proto.framework.TensorProto: DT_UINT32
getUint32ValCount() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_UINT32
getUint32ValList() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_UINT32
getUint32ValList() - Method in class org.tensorflow.proto.framework.TensorProto: DT_UINT32
getUint32ValList() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_UINT32
getUint64Val(int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_UINT64
getUint64Val(int) - Method in class org.tensorflow.proto.framework.TensorProto: DT_UINT64
getUint64Val(int) - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_UINT64
getUint64ValCount() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_UINT64
getUint64ValCount() - Method in class org.tensorflow.proto.framework.TensorProto: DT_UINT64
getUint64ValCount() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_UINT64
getUint64ValList() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_UINT64
getUint64ValList() - Method in class org.tensorflow.proto.framework.TensorProto: DT_UINT64
getUint64ValList() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_UINT64
getUint64Value() - Method in class org.tensorflow.proto.profiler.XStat.Builder: uint64 uint64_value = 3;
getUint64Value() - Method in class org.tensorflow.proto.profiler.XStat: uint64 uint64_value = 3;
getUint64Value() - Method in interface org.tensorflow.proto.profiler.XStatOrBuilder: uint64 uint64_value = 3;
GetUniqueNameForOp(BytePointer) - Method in class org.tensorflow.internal.c_api.TF_Scope: Return a unique name, using default_name if an op name has not been specified.
GetUniqueNameForOp(String) - Method in class org.tensorflow.internal.c_api.TF_Scope
getUnknownFields() - Method in class org.tensorflow.proto.data.AutotuneOptions
getUnknownFields() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
getUnknownFields() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
getUnknownFields() - Method in class org.tensorflow.proto.data.DistributeOptions
getUnknownFields() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
getUnknownFields() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
getUnknownFields() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
getUnknownFields() - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord
getUnknownFields() - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
getUnknownFields() - Method in class org.tensorflow.proto.data.experimental.TensorMetadata
getUnknownFields() - Method in class org.tensorflow.proto.data.model.ModelProto
getUnknownFields() - Method in class org.tensorflow.proto.data.model.ModelProto.Node
getUnknownFields() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
getUnknownFields() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
getUnknownFields() - Method in class org.tensorflow.proto.data.OptimizationOptions
getUnknownFields() - Method in class org.tensorflow.proto.data.Options
getUnknownFields() - Method in class org.tensorflow.proto.data.ThreadingOptions
getUnknownFields() - Method in class org.tensorflow.proto.distruntime.ClusterDef
getUnknownFields() - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
getUnknownFields() - Method in class org.tensorflow.proto.distruntime.JobDef
getUnknownFields() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters
getUnknownFields() - Method in class org.tensorflow.proto.distruntime.ServerDef
getUnknownFields() - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
getUnknownFields() - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
getUnknownFields() - Method in class org.tensorflow.proto.example.BytesList
getUnknownFields() - Method in class org.tensorflow.proto.example.Example
getUnknownFields() - Method in class org.tensorflow.proto.example.ExampleParserConfiguration
getUnknownFields() - Method in class org.tensorflow.proto.example.Feature
getUnknownFields() - Method in class org.tensorflow.proto.example.FeatureConfiguration
getUnknownFields() - Method in class org.tensorflow.proto.example.FeatureList
getUnknownFields() - Method in class org.tensorflow.proto.example.FeatureLists
getUnknownFields() - Method in class org.tensorflow.proto.example.Features
getUnknownFields() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto
getUnknownFields() - Method in class org.tensorflow.proto.example.FloatList
getUnknownFields() - Method in class org.tensorflow.proto.example.Int64List
getUnknownFields() - Method in class org.tensorflow.proto.example.SequenceExample
getUnknownFields() - Method in class org.tensorflow.proto.example.VarLenFeatureProto
getUnknownFields() - Method in class org.tensorflow.proto.framework.AllocationDescription
getUnknownFields() - Method in class org.tensorflow.proto.framework.AllocationRecord
getUnknownFields() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
getUnknownFields() - Method in class org.tensorflow.proto.framework.ApiDef.Arg
getUnknownFields() - Method in class org.tensorflow.proto.framework.ApiDef.Attr
getUnknownFields() - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint
getUnknownFields() - Method in class org.tensorflow.proto.framework.ApiDef
getUnknownFields() - Method in class org.tensorflow.proto.framework.ApiDefs
getUnknownFields() - Method in class org.tensorflow.proto.framework.AssetFileDef
getUnknownFields() - Method in class org.tensorflow.proto.framework.AttrValue
getUnknownFields() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue
getUnknownFields() - Method in class org.tensorflow.proto.framework.AutoParallelOptions
getUnknownFields() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
getUnknownFields() - Method in class org.tensorflow.proto.framework.CallableOptions
getUnknownFields() - Method in class org.tensorflow.proto.framework.CapturedTensor
getUnknownFields() - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList
getUnknownFields() - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList
getUnknownFields() - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList
getUnknownFields() - Method in class org.tensorflow.proto.framework.CollectionDef
getUnknownFields() - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List
getUnknownFields() - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList
getUnknownFields() - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
getUnknownFields() - Method in class org.tensorflow.proto.framework.CondContextDef
getUnknownFields() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental
getUnknownFields() - Method in class org.tensorflow.proto.framework.ConfigProto
getUnknownFields() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef
getUnknownFields() - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
getUnknownFields() - Method in class org.tensorflow.proto.framework.CostGraphDef
getUnknownFields() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node
getUnknownFields() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
getUnknownFields() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
getUnknownFields() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile
getUnknownFields() - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles
getUnknownFields() - Method in class org.tensorflow.proto.framework.DebugOptions
getUnknownFields() - Method in class org.tensorflow.proto.framework.DebugTensorWatch
getUnknownFields() - Method in class org.tensorflow.proto.framework.DeviceAttributes
getUnknownFields() - Method in class org.tensorflow.proto.framework.DeviceLocality
getUnknownFields() - Method in class org.tensorflow.proto.framework.DeviceProperties
getUnknownFields() - Method in class org.tensorflow.proto.framework.DeviceStepStats
getUnknownFields() - Method in class org.tensorflow.proto.framework.DictValue
getUnknownFields() - Method in class org.tensorflow.proto.framework.FullTypeDef
getUnknownFields() - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
getUnknownFields() - Method in class org.tensorflow.proto.framework.FunctionDef
getUnknownFields() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary
getUnknownFields() - Method in class org.tensorflow.proto.framework.FunctionSpec
getUnknownFields() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental
getUnknownFields() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
getUnknownFields() - Method in class org.tensorflow.proto.framework.GPUOptions
getUnknownFields() - Method in class org.tensorflow.proto.framework.GradientDef
getUnknownFields() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
getUnknownFields() - Method in class org.tensorflow.proto.framework.GraphDebugInfo
getUnknownFields() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
getUnknownFields() - Method in class org.tensorflow.proto.framework.GraphDef
getUnknownFields() - Method in class org.tensorflow.proto.framework.GraphOptions
getUnknownFields() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
getUnknownFields() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
getUnknownFields() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
getUnknownFields() - Method in class org.tensorflow.proto.framework.GraphTransferInfo
getUnknownFields() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
getUnknownFields() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput
getUnknownFields() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
getUnknownFields() - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
getUnknownFields() - Method in class org.tensorflow.proto.framework.HistogramProto
getUnknownFields() - Method in class org.tensorflow.proto.framework.InterconnectLink
getUnknownFields() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
getUnknownFields() - Method in class org.tensorflow.proto.framework.KernelDef
getUnknownFields() - Method in class org.tensorflow.proto.framework.KernelList
getUnknownFields() - Method in class org.tensorflow.proto.framework.ListValue
getUnknownFields() - Method in class org.tensorflow.proto.framework.LocalLinks
getUnknownFields() - Method in class org.tensorflow.proto.framework.LogNormalDistribution
getUnknownFields() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
getUnknownFields() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
getUnknownFields() - Method in class org.tensorflow.proto.framework.MemoryLogStep
getUnknownFields() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
getUnknownFields() - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
getUnknownFields() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
getUnknownFields() - Method in class org.tensorflow.proto.framework.MemoryStats
getUnknownFields() - Method in class org.tensorflow.proto.framework.MetaGraphDef
getUnknownFields() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
getUnknownFields() - Method in class org.tensorflow.proto.framework.NameAttrList
getUnknownFields() - Method in class org.tensorflow.proto.framework.NamedDevice
getUnknownFields() - Method in class org.tensorflow.proto.framework.NamedTensorProto
getUnknownFields() - Method in class org.tensorflow.proto.framework.NamedTupleValue
getUnknownFields() - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
getUnknownFields() - Method in class org.tensorflow.proto.framework.NodeDef
getUnknownFields() - Method in class org.tensorflow.proto.framework.NodeExecStats
getUnknownFields() - Method in class org.tensorflow.proto.framework.NodeOutput
getUnknownFields() - Method in class org.tensorflow.proto.framework.NoneValue
getUnknownFields() - Method in class org.tensorflow.proto.framework.NormalDistribution
getUnknownFields() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef
getUnknownFields() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef
getUnknownFields() - Method in class org.tensorflow.proto.framework.OpDef
getUnknownFields() - Method in class org.tensorflow.proto.framework.OpDeprecation
getUnknownFields() - Method in class org.tensorflow.proto.framework.OpInfo
getUnknownFields() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
getUnknownFields() - Method in class org.tensorflow.proto.framework.OpList
getUnknownFields() - Method in class org.tensorflow.proto.framework.OpPerformance
getUnknownFields() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
getUnknownFields() - Method in class org.tensorflow.proto.framework.OpPerformanceList
getUnknownFields() - Method in class org.tensorflow.proto.framework.OptimizerOptions
getUnknownFields() - Method in class org.tensorflow.proto.framework.PairValue
getUnknownFields() - Method in class org.tensorflow.proto.framework.QueueRunnerDef
getUnknownFields() - Method in class org.tensorflow.proto.framework.ReaderBaseState
getUnknownFields() - Method in class org.tensorflow.proto.framework.RegisteredGradient
getUnknownFields() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle
getUnknownFields() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
getUnknownFields() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
getUnknownFields() - Method in class org.tensorflow.proto.framework.ResourceHandleProto
getUnknownFields() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
getUnknownFields() - Method in class org.tensorflow.proto.framework.RewriterConfig
getUnknownFields() - Method in class org.tensorflow.proto.framework.RPCOptions
getUnknownFields() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
getUnknownFields() - Method in class org.tensorflow.proto.framework.RunMetadata
getUnknownFields() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental
getUnknownFields() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
getUnknownFields() - Method in class org.tensorflow.proto.framework.RunOptions
getUnknownFields() - Method in class org.tensorflow.proto.framework.SaveableObject
getUnknownFields() - Method in class org.tensorflow.proto.framework.SavedAsset
getUnknownFields() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
getUnknownFields() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction
getUnknownFields() - Method in class org.tensorflow.proto.framework.SavedConstant
getUnknownFields() - Method in class org.tensorflow.proto.framework.SavedFunction
getUnknownFields() - Method in class org.tensorflow.proto.framework.SavedModel
getUnknownFields() - Method in class org.tensorflow.proto.framework.SavedObject
getUnknownFields() - Method in class org.tensorflow.proto.framework.SavedObjectGraph
getUnknownFields() - Method in class org.tensorflow.proto.framework.SavedResource
getUnknownFields() - Method in class org.tensorflow.proto.framework.SavedUserObject
getUnknownFields() - Method in class org.tensorflow.proto.framework.SavedVariable
getUnknownFields() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef
getUnknownFields() - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
getUnknownFields() - Method in class org.tensorflow.proto.framework.SessionInfo
getUnknownFields() - Method in class org.tensorflow.proto.framework.SessionMetadata
getUnknownFields() - Method in class org.tensorflow.proto.framework.SignatureDef
getUnknownFields() - Method in class org.tensorflow.proto.framework.Status.DerivedStatus
getUnknownFields() - Method in class org.tensorflow.proto.framework.StepStats
getUnknownFields() - Method in class org.tensorflow.proto.framework.StructuredValue
getUnknownFields() - Method in class org.tensorflow.proto.framework.Summary.Audio
getUnknownFields() - Method in class org.tensorflow.proto.framework.Summary
getUnknownFields() - Method in class org.tensorflow.proto.framework.Summary.Image
getUnknownFields() - Method in class org.tensorflow.proto.framework.Summary.Value
getUnknownFields() - Method in class org.tensorflow.proto.framework.SummaryDescription
getUnknownFields() - Method in class org.tensorflow.proto.framework.SummaryMetadata
getUnknownFields() - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
getUnknownFields() - Method in class org.tensorflow.proto.framework.TensorConnection
getUnknownFields() - Method in class org.tensorflow.proto.framework.TensorDescription
getUnknownFields() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
getUnknownFields() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
getUnknownFields() - Method in class org.tensorflow.proto.framework.TensorInfo
getUnknownFields() - Method in class org.tensorflow.proto.framework.TensorProto
getUnknownFields() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
getUnknownFields() - Method in class org.tensorflow.proto.framework.TensorShapeProto
getUnknownFields() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
getUnknownFields() - Method in class org.tensorflow.proto.framework.TensorSliceProto
getUnknownFields() - Method in class org.tensorflow.proto.framework.TensorSpecProto
getUnknownFields() - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
getUnknownFields() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph
getUnknownFields() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
getUnknownFields() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
getUnknownFields() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
getUnknownFields() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
getUnknownFields() - Method in class org.tensorflow.proto.framework.TupleValue
getUnknownFields() - Method in class org.tensorflow.proto.framework.TypeSpecProto
getUnknownFields() - Method in class org.tensorflow.proto.framework.ValuesDef
getUnknownFields() - Method in class org.tensorflow.proto.framework.VariableDef
getUnknownFields() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto
getUnknownFields() - Method in class org.tensorflow.proto.framework.VerifierConfig
getUnknownFields() - Method in class org.tensorflow.proto.framework.VersionDef
getUnknownFields() - Method in class org.tensorflow.proto.framework.WhileContextDef
getUnknownFields() - Method in class org.tensorflow.proto.profiler.ProfileOptions
getUnknownFields() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
getUnknownFields() - Method in class org.tensorflow.proto.profiler.XEvent
getUnknownFields() - Method in class org.tensorflow.proto.profiler.XEventMetadata
getUnknownFields() - Method in class org.tensorflow.proto.profiler.XLine
getUnknownFields() - Method in class org.tensorflow.proto.profiler.XPlane
getUnknownFields() - Method in class org.tensorflow.proto.profiler.XSpace
getUnknownFields() - Method in class org.tensorflow.proto.profiler.XStat
getUnknownFields() - Method in class org.tensorflow.proto.profiler.XStatMetadata
getUnknownFields() - Method in class org.tensorflow.proto.util.BinSummary
getUnknownFields() - Method in class org.tensorflow.proto.util.BundleEntryProto
getUnknownFields() - Method in class org.tensorflow.proto.util.BundleHeaderProto
getUnknownFields() - Method in class org.tensorflow.proto.util.CodeLocation
getUnknownFields() - Method in class org.tensorflow.proto.util.DebugEvent
getUnknownFields() - Method in class org.tensorflow.proto.util.DebuggedDevice
getUnknownFields() - Method in class org.tensorflow.proto.util.DebuggedGraph
getUnknownFields() - Method in class org.tensorflow.proto.util.DebugMetadata
getUnknownFields() - Method in class org.tensorflow.proto.util.Event
getUnknownFields() - Method in class org.tensorflow.proto.util.Execution
getUnknownFields() - Method in class org.tensorflow.proto.util.GraphExecutionTrace
getUnknownFields() - Method in class org.tensorflow.proto.util.GraphOpCreation
getUnknownFields() - Method in class org.tensorflow.proto.util.LogMessage: Deprecated.
getUnknownFields() - Method in class org.tensorflow.proto.util.MemAllocatorStats
getUnknownFields() - Method in class org.tensorflow.proto.util.MemChunk
getUnknownFields() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
getUnknownFields() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
getUnknownFields() - Method in class org.tensorflow.proto.util.MemoryDump
getUnknownFields() - Method in class org.tensorflow.proto.util.RequestedExitCode
getUnknownFields() - Method in class org.tensorflow.proto.util.SavedSlice
getUnknownFields() - Method in class org.tensorflow.proto.util.SavedSliceMeta
getUnknownFields() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta
getUnknownFields() - Method in class org.tensorflow.proto.util.SavedTensorSlices
getUnknownFields() - Method in class org.tensorflow.proto.util.SaverDef
getUnknownFields() - Method in class org.tensorflow.proto.util.SessionLog
getUnknownFields() - Method in class org.tensorflow.proto.util.SnapShot
getUnknownFields() - Method in class org.tensorflow.proto.util.SourceFile
getUnknownFields() - Method in class org.tensorflow.proto.util.StackFrameWithId
getUnknownFields() - Method in class org.tensorflow.proto.util.TaggedRunMetadata
getUnknownFields() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
getUnknownFields() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
getUnknownFields() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
getUnknownFields() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration
getUnknownFields() - Method in class org.tensorflow.proto.util.testlog.CommitId
getUnknownFields() - Method in class org.tensorflow.proto.util.testlog.CPUInfo
getUnknownFields() - Method in class org.tensorflow.proto.util.testlog.EntryValue
getUnknownFields() - Method in class org.tensorflow.proto.util.testlog.GPUInfo
getUnknownFields() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration
getUnknownFields() - Method in class org.tensorflow.proto.util.testlog.MemoryInfo
getUnknownFields() - Method in class org.tensorflow.proto.util.testlog.MetricEntry
getUnknownFields() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo
getUnknownFields() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration
getUnknownFields() - Method in class org.tensorflow.proto.util.testlog.TestResults
getUnknownFields() - Method in class org.tensorflow.proto.util.WatchdogConfig
getUnknownFields() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
getUnknownFields() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
getUnknownRank() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder: If true, the number of dimensions in the shape is unknown.
getUnknownRank() - Method in class org.tensorflow.proto.framework.TensorShapeProto: If true, the number of dimensions in the shape is unknown.
getUnknownRank() - Method in interface org.tensorflow.proto.framework.TensorShapeProtoOrBuilder: If true, the number of dimensions in the shape is unknown.
getUnsafeNativeHandle() - Method in class org.tensorflow.GraphOperation: Get the native handle of this operation.
getUseCudaMallocAsync() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: When true, use CUDA cudaMallocAsync API instead of TF gpu allocator.
getUseCudaMallocAsync() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental: When true, use CUDA cudaMallocAsync API instead of TF gpu allocator.
getUseCudaMallocAsync() - Method in interface org.tensorflow.proto.framework.GPUOptions.ExperimentalOrBuilder: When true, use CUDA cudaMallocAsync API instead of TF gpu allocator.
getUseNumaAffinity() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: If true, and supported by the platform, the runtime will attempt to use NUMA affinity where applicable.
getUseNumaAffinity() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental: If true, and supported by the platform, the runtime will attempt to use NUMA affinity where applicable.
getUseNumaAffinity() - Method in interface org.tensorflow.proto.framework.ConfigProto.ExperimentalOrBuilder: If true, and supported by the platform, the runtime will attempt to use NUMA affinity where applicable.
getUsePerSessionThreads() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: If true, use a new set of threads for this session rather than the global pool of threads.
getUsePerSessionThreads() - Method in class org.tensorflow.proto.framework.ConfigProto: If true, use a new set of threads for this session rather than the global pool of threads.
getUsePerSessionThreads() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: If true, use a new set of threads for this session rather than the global pool of threads.
getUsePluginOptimizers() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Optimizers registered by plugin (default is ON)
getUsePluginOptimizers() - Method in class org.tensorflow.proto.framework.RewriterConfig: Optimizers registered by plugin (default is ON)
getUsePluginOptimizers() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Optimizers registered by plugin (default is ON)
getUsePluginOptimizersValue() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Optimizers registered by plugin (default is ON)
getUsePluginOptimizersValue() - Method in class org.tensorflow.proto.framework.RewriterConfig: Optimizers registered by plugin (default is ON)
getUsePluginOptimizersValue() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Optimizers registered by plugin (default is ON)
getUserObject() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedUserObject user_object = 4;
getUserObject() - Method in class org.tensorflow.proto.framework.SavedObject: .tensorflow.SavedUserObject user_object = 4;
getUserObject() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: .tensorflow.SavedUserObject user_object = 4;
getUserObjectBuilder() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedUserObject user_object = 4;
getUserObjectOrBuilder() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedUserObject user_object = 4;
getUserObjectOrBuilder() - Method in class org.tensorflow.proto.framework.SavedObject: .tensorflow.SavedUserObject user_object = 4;
getUserObjectOrBuilder() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: .tensorflow.SavedUserObject user_object = 4;
getUseRpcForInprocessMaster() - Method in class org.tensorflow.proto.framework.RPCOptions.Builder: If true, always use RPC to contact the session target.
getUseRpcForInprocessMaster() - Method in class org.tensorflow.proto.framework.RPCOptions: If true, always use RPC to contact the session target.
getUseRpcForInprocessMaster() - Method in interface org.tensorflow.proto.framework.RPCOptionsOrBuilder: If true, always use RPC to contact the session target.
getUseRunHandlerPool() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder: If true, then operations (using the inter-op pool) across all session::run() calls will be centrally scheduled, optimizing for (median and tail) latency.
getUseRunHandlerPool() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental: If true, then operations (using the inter-op pool) across all session::run() calls will be centrally scheduled, optimizing for (median and tail) latency.
getUseRunHandlerPool() - Method in interface org.tensorflow.proto.framework.RunOptions.ExperimentalOrBuilder: If true, then operations (using the inter-op pool) across all session::run() calls will be centrally scheduled, optimizing for (median and tail) latency.
getUseTfrt() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Whether runtime execution uses TFRT.
getUseTfrt() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental: Whether runtime execution uses TFRT.
getUseTfrt() - Method in interface org.tensorflow.proto.framework.ConfigProto.ExperimentalOrBuilder: Whether runtime execution uses TFRT.
getUseUnifiedMemory() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: If true, uses CUDA unified memory for memory allocations.
getUseUnifiedMemory() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental: If true, uses CUDA unified memory for memory allocations.
getUseUnifiedMemory() - Method in interface org.tensorflow.proto.framework.GPUOptions.ExperimentalOrBuilder: If true, uses CUDA unified memory for memory allocations.
getUuid() - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder: Final entry in output of "nvidia-smi -L"
getUuid() - Method in class org.tensorflow.proto.util.testlog.GPUInfo: Final entry in output of "nvidia-smi -L"
getUuid() - Method in interface org.tensorflow.proto.util.testlog.GPUInfoOrBuilder: Final entry in output of "nvidia-smi -L"
getUuidBytes() - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder: Final entry in output of "nvidia-smi -L"
getUuidBytes() - Method in class org.tensorflow.proto.util.testlog.GPUInfo: Final entry in output of "nvidia-smi -L"
getUuidBytes() - Method in interface org.tensorflow.proto.util.testlog.GPUInfoOrBuilder: Final entry in output of "nvidia-smi -L"
getValue() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder: Identifies the model value of the parameter.
getValue() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter: Identifies the model value of the parameter.
getValue() - Method in interface org.tensorflow.proto.data.model.ModelProto.Node.ParameterOrBuilder: Identifies the model value of the parameter.
getValue(int) - Method in class org.tensorflow.proto.example.BytesList.Builder: repeated bytes value = 1;
getValue(int) - Method in class org.tensorflow.proto.example.BytesList: repeated bytes value = 1;
getValue(int) - Method in interface org.tensorflow.proto.example.BytesListOrBuilder: repeated bytes value = 1;
getValue(int) - Method in class org.tensorflow.proto.example.FloatList.Builder: repeated float value = 1 [packed = true];
getValue(int) - Method in class org.tensorflow.proto.example.FloatList: repeated float value = 1 [packed = true];
getValue(int) - Method in interface org.tensorflow.proto.example.FloatListOrBuilder: repeated float value = 1 [packed = true];
getValue(int) - Method in class org.tensorflow.proto.example.Int64List.Builder: repeated int64 value = 1 [packed = true];
getValue(int) - Method in class org.tensorflow.proto.example.Int64List: repeated int64 value = 1 [packed = true];
getValue(int) - Method in interface org.tensorflow.proto.example.Int64ListOrBuilder: repeated int64 value = 1 [packed = true];
getValue(int) - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
getValue(int) - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList: repeated .google.protobuf.Any value = 1;
getValue(int) - Method in interface org.tensorflow.proto.framework.CollectionDef.AnyListOrBuilder: repeated .google.protobuf.Any value = 1;
getValue(int) - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList.Builder: repeated bytes value = 1;
getValue(int) - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList: repeated bytes value = 1;
getValue(int) - Method in interface org.tensorflow.proto.framework.CollectionDef.BytesListOrBuilder: repeated bytes value = 1;
getValue(int) - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList.Builder: repeated float value = 1 [packed = true];
getValue(int) - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList: repeated float value = 1 [packed = true];
getValue(int) - Method in interface org.tensorflow.proto.framework.CollectionDef.FloatListOrBuilder: repeated float value = 1 [packed = true];
getValue(int) - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List.Builder: repeated int64 value = 1 [packed = true];
getValue(int) - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List: repeated int64 value = 1 [packed = true];
getValue(int) - Method in interface org.tensorflow.proto.framework.CollectionDef.Int64ListOrBuilder: repeated int64 value = 1 [packed = true];
getValue(int) - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList.Builder: repeated string value = 1;
getValue(int) - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList: repeated string value = 1;
getValue(int) - Method in interface org.tensorflow.proto.framework.CollectionDef.NodeListOrBuilder: repeated string value = 1;
getValue() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder: .tensorflow.TensorProto value = 3;
getValue() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties: .tensorflow.TensorProto value = 3;
getValue() - Method in interface org.tensorflow.proto.framework.OpInfo.TensorPropertiesOrBuilder: .tensorflow.TensorProto value = 3;
getValue() - Method in class org.tensorflow.proto.framework.PairValue.Builder: .tensorflow.StructuredValue value = 2;
getValue() - Method in class org.tensorflow.proto.framework.PairValue: .tensorflow.StructuredValue value = 2;
getValue() - Method in interface org.tensorflow.proto.framework.PairValueOrBuilder: .tensorflow.StructuredValue value = 2;
getValue(int) - Method in class org.tensorflow.proto.framework.Summary.Builder: Set of values for the summary.
getValue(int) - Method in class org.tensorflow.proto.framework.Summary: Set of values for the summary.
getValue(int) - Method in interface org.tensorflow.proto.framework.SummaryOrBuilder: Set of values for the summary.
getValue() - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder: Metric value
getValue() - Method in class org.tensorflow.proto.util.testlog.MetricEntry: Metric value
getValue() - Method in interface org.tensorflow.proto.util.testlog.MetricEntryOrBuilder: Metric value
getValueBuilder(int) - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
getValueBuilder() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder: .tensorflow.TensorProto value = 3;
getValueBuilder() - Method in class org.tensorflow.proto.framework.PairValue.Builder: .tensorflow.StructuredValue value = 2;
getValueBuilder(int) - Method in class org.tensorflow.proto.framework.Summary.Builder: Set of values for the summary.
getValueBuilderList() - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
getValueBuilderList() - Method in class org.tensorflow.proto.framework.Summary.Builder: Set of values for the summary.
getValueBytes(int) - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList.Builder: repeated string value = 1;
getValueBytes(int) - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList: repeated string value = 1;
getValueBytes(int) - Method in interface org.tensorflow.proto.framework.CollectionDef.NodeListOrBuilder: repeated string value = 1;
getValueCase() - Method in class org.tensorflow.proto.framework.AttrValue.Builder
getValueCase() - Method in class org.tensorflow.proto.framework.AttrValue
getValueCase() - Method in interface org.tensorflow.proto.framework.AttrValueOrBuilder
getValueCase() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder
getValueCase() - Method in class org.tensorflow.proto.framework.Summary.Value
getValueCase() - Method in interface org.tensorflow.proto.framework.Summary.ValueOrBuilder
getValueCase() - Method in class org.tensorflow.proto.profiler.XStat.Builder
getValueCase() - Method in class org.tensorflow.proto.profiler.XStat
getValueCase() - Method in interface org.tensorflow.proto.profiler.XStatOrBuilder
getValueCount() - Method in class org.tensorflow.proto.example.BytesList.Builder: repeated bytes value = 1;
getValueCount() - Method in class org.tensorflow.proto.example.BytesList: repeated bytes value = 1;
getValueCount() - Method in interface org.tensorflow.proto.example.BytesListOrBuilder: repeated bytes value = 1;
getValueCount() - Method in class org.tensorflow.proto.example.FloatList.Builder: repeated float value = 1 [packed = true];
getValueCount() - Method in class org.tensorflow.proto.example.FloatList: repeated float value = 1 [packed = true];
getValueCount() - Method in interface org.tensorflow.proto.example.FloatListOrBuilder: repeated float value = 1 [packed = true];
getValueCount() - Method in class org.tensorflow.proto.example.Int64List.Builder: repeated int64 value = 1 [packed = true];
getValueCount() - Method in class org.tensorflow.proto.example.Int64List: repeated int64 value = 1 [packed = true];
getValueCount() - Method in interface org.tensorflow.proto.example.Int64ListOrBuilder: repeated int64 value = 1 [packed = true];
getValueCount() - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
getValueCount() - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList: repeated .google.protobuf.Any value = 1;
getValueCount() - Method in interface org.tensorflow.proto.framework.CollectionDef.AnyListOrBuilder: repeated .google.protobuf.Any value = 1;
getValueCount() - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList.Builder: repeated bytes value = 1;
getValueCount() - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList: repeated bytes value = 1;
getValueCount() - Method in interface org.tensorflow.proto.framework.CollectionDef.BytesListOrBuilder: repeated bytes value = 1;
getValueCount() - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList.Builder: repeated float value = 1 [packed = true];
getValueCount() - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList: repeated float value = 1 [packed = true];
getValueCount() - Method in interface org.tensorflow.proto.framework.CollectionDef.FloatListOrBuilder: repeated float value = 1 [packed = true];
getValueCount() - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List.Builder: repeated int64 value = 1 [packed = true];
getValueCount() - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List: repeated int64 value = 1 [packed = true];
getValueCount() - Method in interface org.tensorflow.proto.framework.CollectionDef.Int64ListOrBuilder: repeated int64 value = 1 [packed = true];
getValueCount() - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList.Builder: repeated string value = 1;
getValueCount() - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList: repeated string value = 1;
getValueCount() - Method in interface org.tensorflow.proto.framework.CollectionDef.NodeListOrBuilder: repeated string value = 1;
getValueCount() - Method in class org.tensorflow.proto.framework.Summary.Builder: Set of values for the summary.
getValueCount() - Method in class org.tensorflow.proto.framework.Summary: Set of values for the summary.
getValueCount() - Method in interface org.tensorflow.proto.framework.SummaryOrBuilder: Set of values for the summary.
getValueDescriptor() - Method in enum org.tensorflow.proto.data.AutoShardPolicy
getValueDescriptor() - Method in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy
getValueDescriptor() - Method in enum org.tensorflow.proto.data.ExternalStatePolicy
getValueDescriptor() - Method in enum org.tensorflow.proto.data.model.AutotuneAlgorithm
getValueDescriptor() - Method in enum org.tensorflow.proto.data.model.NodeClass
getValueDescriptor() - Method in enum org.tensorflow.proto.framework.ApiDef.Visibility
getValueDescriptor() - Method in enum org.tensorflow.proto.framework.Code
getValueDescriptor() - Method in enum org.tensorflow.proto.framework.ConfigProto.Experimental.MlirBridgeRollout
getValueDescriptor() - Method in enum org.tensorflow.proto.framework.DataClass
getValueDescriptor() - Method in enum org.tensorflow.proto.framework.DataType
getValueDescriptor() - Method in enum org.tensorflow.proto.framework.FullTypeId
getValueDescriptor() - Method in enum org.tensorflow.proto.framework.FunctionSpec.JitCompile
getValueDescriptor() - Method in enum org.tensorflow.proto.framework.GraphTransferInfo.Destination
getValueDescriptor() - Method in enum org.tensorflow.proto.framework.OptimizerOptions.GlobalJitLevel
getValueDescriptor() - Method in enum org.tensorflow.proto.framework.OptimizerOptions.Level
getValueDescriptor() - Method in enum org.tensorflow.proto.framework.RewriterConfig.CpuLayout
getValueDescriptor() - Method in enum org.tensorflow.proto.framework.RewriterConfig.MemOptType
getValueDescriptor() - Method in enum org.tensorflow.proto.framework.RewriterConfig.NumIterationsType
getValueDescriptor() - Method in enum org.tensorflow.proto.framework.RewriterConfig.Toggle
getValueDescriptor() - Method in enum org.tensorflow.proto.framework.RunOptions.TraceLevel
getValueDescriptor() - Method in enum org.tensorflow.proto.framework.TypeSpecProto.TypeSpecClass
getValueDescriptor() - Method in enum org.tensorflow.proto.framework.VariableAggregation
getValueDescriptor() - Method in enum org.tensorflow.proto.framework.VariableSynchronization
getValueDescriptor() - Method in enum org.tensorflow.proto.framework.VerifierConfig.Toggle
getValueDescriptor() - Method in enum org.tensorflow.proto.profiler.ProfileOptions.DeviceType
getValueDescriptor() - Method in enum org.tensorflow.proto.util.BundleHeaderProto.Endianness
getValueDescriptor() - Method in enum org.tensorflow.proto.util.LogMessage.Level: Deprecated.
getValueDescriptor() - Method in enum org.tensorflow.proto.util.SaverDef.CheckpointFormatVersion
getValueDescriptor() - Method in enum org.tensorflow.proto.util.SessionLog.SessionStatus
getValueDescriptor() - Method in enum org.tensorflow.proto.util.TensorDebugMode
getValueDescriptor() - Method in enum org.tensorflow.proto.util.testlog.TestResults.BenchmarkType
getValueDescriptor() - Method in enum org.tensorflow.proto.util.WorkerHealth
getValueDescriptor() - Method in enum org.tensorflow.proto.util.WorkerShutdownMode
getValueList() - Method in class org.tensorflow.proto.example.BytesList.Builder: repeated bytes value = 1;
getValueList() - Method in class org.tensorflow.proto.example.BytesList: repeated bytes value = 1;
getValueList() - Method in interface org.tensorflow.proto.example.BytesListOrBuilder: repeated bytes value = 1;
getValueList() - Method in class org.tensorflow.proto.example.FloatList.Builder: repeated float value = 1 [packed = true];
getValueList() - Method in class org.tensorflow.proto.example.FloatList: repeated float value = 1 [packed = true];
getValueList() - Method in interface org.tensorflow.proto.example.FloatListOrBuilder: repeated float value = 1 [packed = true];
getValueList() - Method in class org.tensorflow.proto.example.Int64List.Builder: repeated int64 value = 1 [packed = true];
getValueList() - Method in class org.tensorflow.proto.example.Int64List: repeated int64 value = 1 [packed = true];
getValueList() - Method in interface org.tensorflow.proto.example.Int64ListOrBuilder: repeated int64 value = 1 [packed = true];
getValueList() - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
getValueList() - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList: repeated .google.protobuf.Any value = 1;
getValueList() - Method in interface org.tensorflow.proto.framework.CollectionDef.AnyListOrBuilder: repeated .google.protobuf.Any value = 1;
getValueList() - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList.Builder: repeated bytes value = 1;
getValueList() - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList: repeated bytes value = 1;
getValueList() - Method in interface org.tensorflow.proto.framework.CollectionDef.BytesListOrBuilder: repeated bytes value = 1;
getValueList() - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList.Builder: repeated float value = 1 [packed = true];
getValueList() - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList: repeated float value = 1 [packed = true];
getValueList() - Method in interface org.tensorflow.proto.framework.CollectionDef.FloatListOrBuilder: repeated float value = 1 [packed = true];
getValueList() - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List.Builder: repeated int64 value = 1 [packed = true];
getValueList() - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List: repeated int64 value = 1 [packed = true];
getValueList() - Method in interface org.tensorflow.proto.framework.CollectionDef.Int64ListOrBuilder: repeated int64 value = 1 [packed = true];
getValueList() - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList.Builder: repeated string value = 1;
getValueList() - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList: repeated string value = 1;
getValueList() - Method in interface org.tensorflow.proto.framework.CollectionDef.NodeListOrBuilder: repeated string value = 1;
getValueList() - Method in class org.tensorflow.proto.framework.Summary.Builder: Set of values for the summary.
getValueList() - Method in class org.tensorflow.proto.framework.Summary: Set of values for the summary.
getValueList() - Method in interface org.tensorflow.proto.framework.SummaryOrBuilder: Set of values for the summary.
getValueOrBuilder(int) - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
getValueOrBuilder(int) - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList: repeated .google.protobuf.Any value = 1;
getValueOrBuilder(int) - Method in interface org.tensorflow.proto.framework.CollectionDef.AnyListOrBuilder: repeated .google.protobuf.Any value = 1;
getValueOrBuilder() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder: .tensorflow.TensorProto value = 3;
getValueOrBuilder() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties: .tensorflow.TensorProto value = 3;
getValueOrBuilder() - Method in interface org.tensorflow.proto.framework.OpInfo.TensorPropertiesOrBuilder: .tensorflow.TensorProto value = 3;
getValueOrBuilder() - Method in class org.tensorflow.proto.framework.PairValue.Builder: .tensorflow.StructuredValue value = 2;
getValueOrBuilder() - Method in class org.tensorflow.proto.framework.PairValue: .tensorflow.StructuredValue value = 2;
getValueOrBuilder() - Method in interface org.tensorflow.proto.framework.PairValueOrBuilder: .tensorflow.StructuredValue value = 2;
getValueOrBuilder(int) - Method in class org.tensorflow.proto.framework.Summary.Builder: Set of values for the summary.
getValueOrBuilder(int) - Method in class org.tensorflow.proto.framework.Summary: Set of values for the summary.
getValueOrBuilder(int) - Method in interface org.tensorflow.proto.framework.SummaryOrBuilder: Set of values for the summary.
getValueOrBuilderList() - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
getValueOrBuilderList() - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList: repeated .google.protobuf.Any value = 1;
getValueOrBuilderList() - Method in interface org.tensorflow.proto.framework.CollectionDef.AnyListOrBuilder: repeated .google.protobuf.Any value = 1;
getValueOrBuilderList() - Method in class org.tensorflow.proto.framework.Summary.Builder: Set of values for the summary.
getValueOrBuilderList() - Method in class org.tensorflow.proto.framework.Summary: Set of values for the summary.
getValueOrBuilderList() - Method in interface org.tensorflow.proto.framework.SummaryOrBuilder: Set of values for the summary.
getValues(int) - Method in class org.tensorflow.proto.framework.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
getValues(int) - Method in class org.tensorflow.proto.framework.ListValue: repeated .tensorflow.StructuredValue values = 1;
getValues(int) - Method in interface org.tensorflow.proto.framework.ListValueOrBuilder: repeated .tensorflow.StructuredValue values = 1;
getValues(int) - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
getValues(int) - Method in class org.tensorflow.proto.framework.NamedTupleValue: repeated .tensorflow.PairValue values = 2;
getValues(int) - Method in interface org.tensorflow.proto.framework.NamedTupleValueOrBuilder: repeated .tensorflow.PairValue values = 2;
getValues(int) - Method in class org.tensorflow.proto.framework.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
getValues(int) - Method in class org.tensorflow.proto.framework.TupleValue: repeated .tensorflow.StructuredValue values = 1;
getValues(int) - Method in interface org.tensorflow.proto.framework.TupleValueOrBuilder: repeated .tensorflow.StructuredValue values = 1;
getValues(int) - Method in class org.tensorflow.proto.framework.ValuesDef.Builder: Value names that have been seen in this context.
getValues(int) - Method in class org.tensorflow.proto.framework.ValuesDef: Value names that have been seen in this context.
getValues(int) - Method in interface org.tensorflow.proto.framework.ValuesDefOrBuilder: Value names that have been seen in this context.
getValuesBuilder(int) - Method in class org.tensorflow.proto.framework.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
getValuesBuilder(int) - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
getValuesBuilder(int) - Method in class org.tensorflow.proto.framework.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
getValuesBuilderList() - Method in class org.tensorflow.proto.framework.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
getValuesBuilderList() - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
getValuesBuilderList() - Method in class org.tensorflow.proto.framework.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
getValuesBytes(int) - Method in class org.tensorflow.proto.framework.ValuesDef.Builder: Value names that have been seen in this context.
getValuesBytes(int) - Method in class org.tensorflow.proto.framework.ValuesDef: Value names that have been seen in this context.
getValuesBytes(int) - Method in interface org.tensorflow.proto.framework.ValuesDefOrBuilder: Value names that have been seen in this context.
getValuesCount() - Method in class org.tensorflow.proto.framework.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
getValuesCount() - Method in class org.tensorflow.proto.framework.ListValue: repeated .tensorflow.StructuredValue values = 1;
getValuesCount() - Method in interface org.tensorflow.proto.framework.ListValueOrBuilder: repeated .tensorflow.StructuredValue values = 1;
getValuesCount() - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
getValuesCount() - Method in class org.tensorflow.proto.framework.NamedTupleValue: repeated .tensorflow.PairValue values = 2;
getValuesCount() - Method in interface org.tensorflow.proto.framework.NamedTupleValueOrBuilder: repeated .tensorflow.PairValue values = 2;
getValuesCount() - Method in class org.tensorflow.proto.framework.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
getValuesCount() - Method in class org.tensorflow.proto.framework.TupleValue: repeated .tensorflow.StructuredValue values = 1;
getValuesCount() - Method in interface org.tensorflow.proto.framework.TupleValueOrBuilder: repeated .tensorflow.StructuredValue values = 1;
getValuesCount() - Method in class org.tensorflow.proto.framework.ValuesDef.Builder: Value names that have been seen in this context.
getValuesCount() - Method in class org.tensorflow.proto.framework.ValuesDef: Value names that have been seen in this context.
getValuesCount() - Method in interface org.tensorflow.proto.framework.ValuesDefOrBuilder: Value names that have been seen in this context.
getValuesDef() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Values and external values in control flow context.
getValuesDef() - Method in class org.tensorflow.proto.framework.CondContextDef: Values and external values in control flow context.
getValuesDef() - Method in interface org.tensorflow.proto.framework.CondContextDefOrBuilder: Values and external values in control flow context.
getValuesDef() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Values and external values in control flow context.
getValuesDef() - Method in class org.tensorflow.proto.framework.WhileContextDef: Values and external values in control flow context.
getValuesDef() - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: Values and external values in control flow context.
getValuesDefBuilder() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Values and external values in control flow context.
getValuesDefBuilder() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Values and external values in control flow context.
getValuesDefOrBuilder() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Values and external values in control flow context.
getValuesDefOrBuilder() - Method in class org.tensorflow.proto.framework.CondContextDef: Values and external values in control flow context.
getValuesDefOrBuilder() - Method in interface org.tensorflow.proto.framework.CondContextDefOrBuilder: Values and external values in control flow context.
getValuesDefOrBuilder() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Values and external values in control flow context.
getValuesDefOrBuilder() - Method in class org.tensorflow.proto.framework.WhileContextDef: Values and external values in control flow context.
getValuesDefOrBuilder() - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: Values and external values in control flow context.
getValuesList() - Method in class org.tensorflow.proto.framework.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
getValuesList() - Method in class org.tensorflow.proto.framework.ListValue: repeated .tensorflow.StructuredValue values = 1;
getValuesList() - Method in interface org.tensorflow.proto.framework.ListValueOrBuilder: repeated .tensorflow.StructuredValue values = 1;
getValuesList() - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
getValuesList() - Method in class org.tensorflow.proto.framework.NamedTupleValue: repeated .tensorflow.PairValue values = 2;
getValuesList() - Method in interface org.tensorflow.proto.framework.NamedTupleValueOrBuilder: repeated .tensorflow.PairValue values = 2;
getValuesList() - Method in class org.tensorflow.proto.framework.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
getValuesList() - Method in class org.tensorflow.proto.framework.TupleValue: repeated .tensorflow.StructuredValue values = 1;
getValuesList() - Method in interface org.tensorflow.proto.framework.TupleValueOrBuilder: repeated .tensorflow.StructuredValue values = 1;
getValuesList() - Method in class org.tensorflow.proto.framework.ValuesDef.Builder: Value names that have been seen in this context.
getValuesList() - Method in class org.tensorflow.proto.framework.ValuesDef: Value names that have been seen in this context.
getValuesList() - Method in interface org.tensorflow.proto.framework.ValuesDefOrBuilder: Value names that have been seen in this context.
getValuesOrBuilder(int) - Method in class org.tensorflow.proto.framework.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
getValuesOrBuilder(int) - Method in class org.tensorflow.proto.framework.ListValue: repeated .tensorflow.StructuredValue values = 1;
getValuesOrBuilder(int) - Method in interface org.tensorflow.proto.framework.ListValueOrBuilder: repeated .tensorflow.StructuredValue values = 1;
getValuesOrBuilder(int) - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
getValuesOrBuilder(int) - Method in class org.tensorflow.proto.framework.NamedTupleValue: repeated .tensorflow.PairValue values = 2;
getValuesOrBuilder(int) - Method in interface org.tensorflow.proto.framework.NamedTupleValueOrBuilder: repeated .tensorflow.PairValue values = 2;
getValuesOrBuilder(int) - Method in class org.tensorflow.proto.framework.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
getValuesOrBuilder(int) - Method in class org.tensorflow.proto.framework.TupleValue: repeated .tensorflow.StructuredValue values = 1;
getValuesOrBuilder(int) - Method in interface org.tensorflow.proto.framework.TupleValueOrBuilder: repeated .tensorflow.StructuredValue values = 1;
getValuesOrBuilderList() - Method in class org.tensorflow.proto.framework.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
getValuesOrBuilderList() - Method in class org.tensorflow.proto.framework.ListValue: repeated .tensorflow.StructuredValue values = 1;
getValuesOrBuilderList() - Method in interface org.tensorflow.proto.framework.ListValueOrBuilder: repeated .tensorflow.StructuredValue values = 1;
getValuesOrBuilderList() - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
getValuesOrBuilderList() - Method in class org.tensorflow.proto.framework.NamedTupleValue: repeated .tensorflow.PairValue values = 2;
getValuesOrBuilderList() - Method in interface org.tensorflow.proto.framework.NamedTupleValueOrBuilder: repeated .tensorflow.PairValue values = 2;
getValuesOrBuilderList() - Method in class org.tensorflow.proto.framework.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
getValuesOrBuilderList() - Method in class org.tensorflow.proto.framework.TupleValue: repeated .tensorflow.StructuredValue values = 1;
getValuesOrBuilderList() - Method in interface org.tensorflow.proto.framework.TupleValueOrBuilder: repeated .tensorflow.StructuredValue values = 1;
getValuesOutputTensorName() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder: string values_output_tensor_name = 4;
getValuesOutputTensorName() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto: string values_output_tensor_name = 4;
getValuesOutputTensorName() - Method in interface org.tensorflow.proto.example.FixedLenFeatureProtoOrBuilder: string values_output_tensor_name = 4;
getValuesOutputTensorName() - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder: string values_output_tensor_name = 2;
getValuesOutputTensorName() - Method in class org.tensorflow.proto.example.VarLenFeatureProto: string values_output_tensor_name = 2;
getValuesOutputTensorName() - Method in interface org.tensorflow.proto.example.VarLenFeatureProtoOrBuilder: string values_output_tensor_name = 2;
getValuesOutputTensorNameBytes() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder: string values_output_tensor_name = 4;
getValuesOutputTensorNameBytes() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto: string values_output_tensor_name = 4;
getValuesOutputTensorNameBytes() - Method in interface org.tensorflow.proto.example.FixedLenFeatureProtoOrBuilder: string values_output_tensor_name = 4;
getValuesOutputTensorNameBytes() - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder: string values_output_tensor_name = 2;
getValuesOutputTensorNameBytes() - Method in class org.tensorflow.proto.example.VarLenFeatureProto: string values_output_tensor_name = 2;
getValuesOutputTensorNameBytes() - Method in interface org.tensorflow.proto.example.VarLenFeatureProtoOrBuilder: string values_output_tensor_name = 2;
getValuesTensorName() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder: The shape of the values Tensor is [?].
getValuesTensorName() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse: The shape of the values Tensor is [?].
getValuesTensorName() - Method in interface org.tensorflow.proto.framework.TensorInfo.CooSparseOrBuilder: The shape of the values Tensor is [?].
getValuesTensorNameBytes() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder: The shape of the values Tensor is [?].
getValuesTensorNameBytes() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse: The shape of the values Tensor is [?].
getValuesTensorNameBytes() - Method in interface org.tensorflow.proto.framework.TensorInfo.CooSparseOrBuilder: The shape of the values Tensor is [?].
getVariable() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedVariable variable = 7;
getVariable() - Method in class org.tensorflow.proto.framework.SavedObject: .tensorflow.SavedVariable variable = 7;
getVariable() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: .tensorflow.SavedVariable variable = 7;
getVariableBuilder() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedVariable variable = 7;
getVariableName() - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Name of the variable tensor.
getVariableName() - Method in class org.tensorflow.proto.framework.VariableDef: Name of the variable tensor.
getVariableName() - Method in interface org.tensorflow.proto.framework.VariableDefOrBuilder: Name of the variable tensor.
getVariableNameBytes() - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Name of the variable tensor.
getVariableNameBytes() - Method in class org.tensorflow.proto.framework.VariableDef: Name of the variable tensor.
getVariableNameBytes() - Method in interface org.tensorflow.proto.framework.VariableDefOrBuilder: Name of the variable tensor.
getVariableOrBuilder() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedVariable variable = 7;
getVariableOrBuilder() - Method in class org.tensorflow.proto.framework.SavedObject: .tensorflow.SavedVariable variable = 7;
getVariableOrBuilder() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: .tensorflow.SavedVariable variable = 7;
getVariantVal(int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_VARIANT
getVariantVal(int) - Method in class org.tensorflow.proto.framework.TensorProto: DT_VARIANT
getVariantVal(int) - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_VARIANT
getVariantValBuilder(int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_VARIANT
getVariantValBuilderList() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_VARIANT
getVariantValCount() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_VARIANT
getVariantValCount() - Method in class org.tensorflow.proto.framework.TensorProto: DT_VARIANT
getVariantValCount() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_VARIANT
getVariantValList() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_VARIANT
getVariantValList() - Method in class org.tensorflow.proto.framework.TensorProto: DT_VARIANT
getVariantValList() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_VARIANT
getVariantValOrBuilder(int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_VARIANT
getVariantValOrBuilder(int) - Method in class org.tensorflow.proto.framework.TensorProto: DT_VARIANT
getVariantValOrBuilder(int) - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_VARIANT
getVariantValOrBuilderList() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_VARIANT
getVariantValOrBuilderList() - Method in class org.tensorflow.proto.framework.TensorProto: DT_VARIANT
getVariantValOrBuilderList() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: DT_VARIANT
getVarLenFeature() - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
getVarLenFeature() - Method in class org.tensorflow.proto.example.FeatureConfiguration: .tensorflow.VarLenFeatureProto var_len_feature = 2;
getVarLenFeature() - Method in interface org.tensorflow.proto.example.FeatureConfigurationOrBuilder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
getVarLenFeatureBuilder() - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
getVarLenFeatureOrBuilder() - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
getVarLenFeatureOrBuilder() - Method in class org.tensorflow.proto.example.FeatureConfiguration: .tensorflow.VarLenFeatureProto var_len_feature = 2;
getVarLenFeatureOrBuilder() - Method in interface org.tensorflow.proto.example.FeatureConfigurationOrBuilder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
getVarOffset(int) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder: Offset of this variable into the full variable.
getVarOffset(int) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef: Offset of this variable into the full variable.
getVarOffset(int) - Method in interface org.tensorflow.proto.framework.SaveSliceInfoDefOrBuilder: Offset of this variable into the full variable.
getVarOffsetCount() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder: Offset of this variable into the full variable.
getVarOffsetCount() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef: Offset of this variable into the full variable.
getVarOffsetCount() - Method in interface org.tensorflow.proto.framework.SaveSliceInfoDefOrBuilder: Offset of this variable into the full variable.
getVarOffsetList() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder: Offset of this variable into the full variable.
getVarOffsetList() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef: Offset of this variable into the full variable.
getVarOffsetList() - Method in interface org.tensorflow.proto.framework.SaveSliceInfoDefOrBuilder: Offset of this variable into the full variable.
getVarShape(int) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder: Shape of this variable.
getVarShape(int) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef: Shape of this variable.
getVarShape(int) - Method in interface org.tensorflow.proto.framework.SaveSliceInfoDefOrBuilder: Shape of this variable.
getVarShapeCount() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder: Shape of this variable.
getVarShapeCount() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef: Shape of this variable.
getVarShapeCount() - Method in interface org.tensorflow.proto.framework.SaveSliceInfoDefOrBuilder: Shape of this variable.
getVarShapeList() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder: Shape of this variable.
getVarShapeList() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef: Shape of this variable.
getVarShapeList() - Method in interface org.tensorflow.proto.framework.SaveSliceInfoDefOrBuilder: Shape of this variable.
getVendor() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Vendor (Intel, nvidia, ...)
getVendor() - Method in class org.tensorflow.proto.framework.DeviceProperties: Vendor (Intel, nvidia, ...)
getVendor() - Method in interface org.tensorflow.proto.framework.DevicePropertiesOrBuilder: Vendor (Intel, nvidia, ...)
getVendorBytes() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Vendor (Intel, nvidia, ...)
getVendorBytes() - Method in class org.tensorflow.proto.framework.DeviceProperties: Vendor (Intel, nvidia, ...)
getVendorBytes() - Method in interface org.tensorflow.proto.framework.DevicePropertiesOrBuilder: Vendor (Intel, nvidia, ...)
getVerificationTimeoutInMs() - Method in class org.tensorflow.proto.framework.VerifierConfig.Builder: Deadline for completion of all verification i.e.
getVerificationTimeoutInMs() - Method in class org.tensorflow.proto.framework.VerifierConfig: Deadline for completion of all verification i.e.
getVerificationTimeoutInMs() - Method in interface org.tensorflow.proto.framework.VerifierConfigOrBuilder: Deadline for completion of all verification i.e.
getVersion() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: Version of the snapshot data file format.
getVersion() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord: Version of the snapshot data file format.
getVersion() - Method in interface org.tensorflow.proto.data.experimental.SnapshotMetadataRecordOrBuilder: Version of the snapshot data file format.
getVersion() - Method in class org.tensorflow.proto.framework.GraphDef.Builder: Deprecated.
getVersion() - Method in class org.tensorflow.proto.framework.GraphDef: Deprecated.
getVersion() - Method in interface org.tensorflow.proto.framework.GraphDefOrBuilder: Deprecated.
getVersion() - Method in class org.tensorflow.proto.framework.OpDeprecation.Builder: First GraphDef version at which the op is disallowed.
getVersion() - Method in class org.tensorflow.proto.framework.OpDeprecation: First GraphDef version at which the op is disallowed.
getVersion() - Method in interface org.tensorflow.proto.framework.OpDeprecationOrBuilder: First GraphDef version at which the op is disallowed.
getVersion() - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder: Version information from the producer of this SavedUserObject.
getVersion() - Method in class org.tensorflow.proto.framework.SavedUserObject: Version information from the producer of this SavedUserObject.
getVersion() - Method in interface org.tensorflow.proto.framework.SavedUserObjectOrBuilder: Version information from the producer of this SavedUserObject.
getVersion() - Method in class org.tensorflow.proto.framework.SessionMetadata.Builder: The version is optional.
getVersion() - Method in class org.tensorflow.proto.framework.SessionMetadata: The version is optional.
getVersion() - Method in interface org.tensorflow.proto.framework.SessionMetadataOrBuilder: The version is optional.
getVersion() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: Some default value of option are not proto3 default value.
getVersion() - Method in class org.tensorflow.proto.profiler.ProfileOptions: Some default value of option are not proto3 default value.
getVersion() - Method in interface org.tensorflow.proto.profiler.ProfileOptionsOrBuilder: Some default value of option are not proto3 default value.
getVersion() - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder: Versioning of the tensor bundle format.
getVersion() - Method in class org.tensorflow.proto.util.BundleHeaderProto: Versioning of the tensor bundle format.
getVersion() - Method in interface org.tensorflow.proto.util.BundleHeaderProtoOrBuilder: Versioning of the tensor bundle format.
getVersion() - Method in class org.tensorflow.proto.util.SaverDef.Builder: .tensorflow.SaverDef.CheckpointFormatVersion version = 7;
getVersion() - Method in class org.tensorflow.proto.util.SaverDef: .tensorflow.SaverDef.CheckpointFormatVersion version = 7;
getVersion() - Method in interface org.tensorflow.proto.util.SaverDefOrBuilder: .tensorflow.SaverDef.CheckpointFormatVersion version = 7;
getVersion() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
getVersion() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo: e.g.
getVersion() - Method in interface org.tensorflow.proto.util.testlog.PlatformInfoOrBuilder: e.g.
getVersionBuilder() - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder: Version information from the producer of this SavedUserObject.
getVersionBuilder() - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder: Versioning of the tensor bundle format.
getVersionBytes() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
getVersionBytes() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo: e.g.
getVersionBytes() - Method in interface org.tensorflow.proto.util.testlog.PlatformInfoOrBuilder: e.g.
getVersionNumber() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: Version number.
getVersionNumber() - Method in class org.tensorflow.proto.framework.TensorProto: Version number.
getVersionNumber() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: Version number.
getVersionOrBuilder() - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder: Version information from the producer of this SavedUserObject.
getVersionOrBuilder() - Method in class org.tensorflow.proto.framework.SavedUserObject: Version information from the producer of this SavedUserObject.
getVersionOrBuilder() - Method in interface org.tensorflow.proto.framework.SavedUserObjectOrBuilder: Version information from the producer of this SavedUserObject.
getVersionOrBuilder() - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder: Versioning of the tensor bundle format.
getVersionOrBuilder() - Method in class org.tensorflow.proto.util.BundleHeaderProto: Versioning of the tensor bundle format.
getVersionOrBuilder() - Method in interface org.tensorflow.proto.util.BundleHeaderProtoOrBuilder: Versioning of the tensor bundle format.
getVersions() - Method in class org.tensorflow.proto.framework.GraphDef.Builder: Compatibility versions of the graph.
getVersions() - Method in class org.tensorflow.proto.framework.GraphDef: Compatibility versions of the graph.
getVersions() - Method in interface org.tensorflow.proto.framework.GraphDefOrBuilder: Compatibility versions of the graph.
getVersions() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder: Compatibility version of this checkpoint.
getVersions() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta: Compatibility version of this checkpoint.
getVersions() - Method in interface org.tensorflow.proto.util.SavedTensorSliceMetaOrBuilder: Compatibility version of this checkpoint.
getVersionsBuilder() - Method in class org.tensorflow.proto.framework.GraphDef.Builder: Compatibility versions of the graph.
getVersionsBuilder() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder: Compatibility version of this checkpoint.
getVersionsOrBuilder() - Method in class org.tensorflow.proto.framework.GraphDef.Builder: Compatibility versions of the graph.
getVersionsOrBuilder() - Method in class org.tensorflow.proto.framework.GraphDef: Compatibility versions of the graph.
getVersionsOrBuilder() - Method in interface org.tensorflow.proto.framework.GraphDefOrBuilder: Compatibility versions of the graph.
getVersionsOrBuilder() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder: Compatibility version of this checkpoint.
getVersionsOrBuilder() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta: Compatibility version of this checkpoint.
getVersionsOrBuilder() - Method in interface org.tensorflow.proto.util.SavedTensorSliceMetaOrBuilder: Compatibility version of this checkpoint.
getVersionValue() - Method in class org.tensorflow.proto.util.SaverDef.Builder: .tensorflow.SaverDef.CheckpointFormatVersion version = 7;
getVersionValue() - Method in class org.tensorflow.proto.util.SaverDef: .tensorflow.SaverDef.CheckpointFormatVersion version = 7;
getVersionValue() - Method in interface org.tensorflow.proto.util.SaverDefOrBuilder: .tensorflow.SaverDef.CheckpointFormatVersion version = 7;
getVirtualDevices(int) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
getVirtualDevices(int) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental: The multi virtual device settings.
getVirtualDevices(int) - Method in interface org.tensorflow.proto.framework.GPUOptions.ExperimentalOrBuilder: The multi virtual device settings.
getVirtualDevicesBuilder(int) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
getVirtualDevicesBuilderList() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
getVirtualDevicesCount() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
getVirtualDevicesCount() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental: The multi virtual device settings.
getVirtualDevicesCount() - Method in interface org.tensorflow.proto.framework.GPUOptions.ExperimentalOrBuilder: The multi virtual device settings.
getVirtualDevicesList() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
getVirtualDevicesList() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental: The multi virtual device settings.
getVirtualDevicesList() - Method in interface org.tensorflow.proto.framework.GPUOptions.ExperimentalOrBuilder: The multi virtual device settings.
getVirtualDevicesOrBuilder(int) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
getVirtualDevicesOrBuilder(int) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental: The multi virtual device settings.
getVirtualDevicesOrBuilder(int) - Method in interface org.tensorflow.proto.framework.GPUOptions.ExperimentalOrBuilder: The multi virtual device settings.
getVirtualDevicesOrBuilderList() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
getVirtualDevicesOrBuilderList() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental: The multi virtual device settings.
getVirtualDevicesOrBuilderList() - Method in interface org.tensorflow.proto.framework.GPUOptions.ExperimentalOrBuilder: The multi virtual device settings.
getVisibility() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: .tensorflow.ApiDef.Visibility visibility = 2;
getVisibility() - Method in class org.tensorflow.proto.framework.ApiDef: .tensorflow.ApiDef.Visibility visibility = 2;
getVisibility() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: .tensorflow.ApiDef.Visibility visibility = 2;
getVisibilityValue() - Method in class org.tensorflow.proto.framework.ApiDef.Builder: .tensorflow.ApiDef.Visibility visibility = 2;
getVisibilityValue() - Method in class org.tensorflow.proto.framework.ApiDef: .tensorflow.ApiDef.Visibility visibility = 2;
getVisibilityValue() - Method in interface org.tensorflow.proto.framework.ApiDefOrBuilder: .tensorflow.ApiDef.Visibility visibility = 2;
getVisibleDeviceList() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
getVisibleDeviceList() - Method in class org.tensorflow.proto.framework.GPUOptions: A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
getVisibleDeviceList() - Method in interface org.tensorflow.proto.framework.GPUOptionsOrBuilder: A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
getVisibleDeviceListBytes() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
getVisibleDeviceListBytes() - Method in class org.tensorflow.proto.framework.GPUOptions: A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
getVisibleDeviceListBytes() - Method in interface org.tensorflow.proto.framework.GPUOptionsOrBuilder: A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
getWallTime() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Timestamp in seconds (with microsecond precision).
getWallTime() - Method in class org.tensorflow.proto.util.DebugEvent: Timestamp in seconds (with microsecond precision).
getWallTime() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder: Timestamp in seconds (with microsecond precision).
getWallTime() - Method in class org.tensorflow.proto.util.Event.Builder: Timestamp of the event.
getWallTime() - Method in class org.tensorflow.proto.util.Event: Timestamp of the event.
getWallTime() - Method in interface org.tensorflow.proto.util.EventOrBuilder: Timestamp of the event.
getWallTime() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Total wall time used for all iterations (in seconds)
getWallTime() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry: Total wall time used for all iterations (in seconds)
getWallTime() - Method in interface org.tensorflow.proto.util.testlog.BenchmarkEntryOrBuilder: Total wall time used for all iterations (in seconds)
getWarnings(int) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: Warnings (if any) in the generation of planes;
getWarnings(int) - Method in class org.tensorflow.proto.profiler.XSpace: Warnings (if any) in the generation of planes;
getWarnings(int) - Method in interface org.tensorflow.proto.profiler.XSpaceOrBuilder: Warnings (if any) in the generation of planes;
getWarningsBytes(int) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: Warnings (if any) in the generation of planes;
getWarningsBytes(int) - Method in class org.tensorflow.proto.profiler.XSpace: Warnings (if any) in the generation of planes;
getWarningsBytes(int) - Method in interface org.tensorflow.proto.profiler.XSpaceOrBuilder: Warnings (if any) in the generation of planes;
getWarningsCount() - Method in class org.tensorflow.proto.profiler.XSpace.Builder: Warnings (if any) in the generation of planes;
getWarningsCount() - Method in class org.tensorflow.proto.profiler.XSpace: Warnings (if any) in the generation of planes;
getWarningsCount() - Method in interface org.tensorflow.proto.profiler.XSpaceOrBuilder: Warnings (if any) in the generation of planes;
getWarningsList() - Method in class org.tensorflow.proto.profiler.XSpace.Builder: Warnings (if any) in the generation of planes;
getWarningsList() - Method in class org.tensorflow.proto.profiler.XSpace: Warnings (if any) in the generation of planes;
getWarningsList() - Method in interface org.tensorflow.proto.profiler.XSpaceOrBuilder: Warnings (if any) in the generation of planes;
getWatchdogConfig() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder: .tensorflow.WatchdogConfig watchdog_config = 2;
getWatchdogConfig() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest: .tensorflow.WatchdogConfig watchdog_config = 2;
getWatchdogConfig() - Method in interface org.tensorflow.proto.util.WorkerHeartbeatRequestOrBuilder: .tensorflow.WatchdogConfig watchdog_config = 2;
getWatchdogConfigBuilder() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder: .tensorflow.WatchdogConfig watchdog_config = 2;
getWatchdogConfigOrBuilder() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder: .tensorflow.WatchdogConfig watchdog_config = 2;
getWatchdogConfigOrBuilder() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest: .tensorflow.WatchdogConfig watchdog_config = 2;
getWatchdogConfigOrBuilder() - Method in interface org.tensorflow.proto.util.WorkerHeartbeatRequestOrBuilder: .tensorflow.WatchdogConfig watchdog_config = 2;
getWhatCase() - Method in class org.tensorflow.proto.util.DebugEvent.Builder
getWhatCase() - Method in class org.tensorflow.proto.util.DebugEvent
getWhatCase() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder
getWhatCase() - Method in class org.tensorflow.proto.util.Event.Builder
getWhatCase() - Method in class org.tensorflow.proto.util.Event
getWhatCase() - Method in interface org.tensorflow.proto.util.EventOrBuilder
getWhileCtxt() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder: .tensorflow.WhileContextDef while_ctxt = 2;
getWhileCtxt() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef: .tensorflow.WhileContextDef while_ctxt = 2;
getWhileCtxt() - Method in interface org.tensorflow.proto.framework.ControlFlowContextDefOrBuilder: .tensorflow.WhileContextDef while_ctxt = 2;
getWhileCtxtBuilder() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder: .tensorflow.WhileContextDef while_ctxt = 2;
getWhileCtxtOrBuilder() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder: .tensorflow.WhileContextDef while_ctxt = 2;
getWhileCtxtOrBuilder() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef: .tensorflow.WhileContextDef while_ctxt = 2;
getWhileCtxtOrBuilder() - Method in interface org.tensorflow.proto.framework.ControlFlowContextDefOrBuilder: .tensorflow.WhileContextDef while_ctxt = 2;
getWidth() - Method in class org.tensorflow.proto.framework.Summary.Image.Builder: int32 width = 2;
getWidth() - Method in class org.tensorflow.proto.framework.Summary.Image: int32 width = 2;
getWidth() - Method in interface org.tensorflow.proto.framework.Summary.ImageOrBuilder: int32 width = 2;
getWorkDir() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: A work directory to use for storing dispatcher state, and for recovering during restarts.
getWorkDir() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: A work directory to use for storing dispatcher state, and for recovering during restarts.
getWorkDir() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: A work directory to use for storing dispatcher state, and for recovering during restarts.
getWorkDirBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: A work directory to use for storing dispatcher state, and for recovering during restarts.
getWorkDirBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: A work directory to use for storing dispatcher state, and for recovering during restarts.
getWorkDirBytes() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: A work directory to use for storing dispatcher state, and for recovering during restarts.
getWorkerAddress() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The address of the worker server.
getWorkerAddress() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: The address of the worker server.
getWorkerAddress() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: The address of the worker server.
getWorkerAddressBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The address of the worker server.
getWorkerAddressBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: The address of the worker server.
getWorkerAddressBytes() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: The address of the worker server.
getWorkerAddresses(int) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: (Optional.) If the job uses auto-sharding, it needs to specify a fixed list of worker addresses that will register with the dispatcher.
getWorkerAddresses(int) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: (Optional.) If the job uses auto-sharding, it needs to specify a fixed list of worker addresses that will register with the dispatcher.
getWorkerAddresses(int) - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: (Optional.) If the job uses auto-sharding, it needs to specify a fixed list of worker addresses that will register with the dispatcher.
getWorkerAddressesBytes(int) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: (Optional.) If the job uses auto-sharding, it needs to specify a fixed list of worker addresses that will register with the dispatcher.
getWorkerAddressesBytes(int) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: (Optional.) If the job uses auto-sharding, it needs to specify a fixed list of worker addresses that will register with the dispatcher.
getWorkerAddressesBytes(int) - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: (Optional.) If the job uses auto-sharding, it needs to specify a fixed list of worker addresses that will register with the dispatcher.
getWorkerAddressesCount() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: (Optional.) If the job uses auto-sharding, it needs to specify a fixed list of worker addresses that will register with the dispatcher.
getWorkerAddressesCount() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: (Optional.) If the job uses auto-sharding, it needs to specify a fixed list of worker addresses that will register with the dispatcher.
getWorkerAddressesCount() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: (Optional.) If the job uses auto-sharding, it needs to specify a fixed list of worker addresses that will register with the dispatcher.
getWorkerAddressesList() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: (Optional.) If the job uses auto-sharding, it needs to specify a fixed list of worker addresses that will register with the dispatcher.
getWorkerAddressesList() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: (Optional.) If the job uses auto-sharding, it needs to specify a fixed list of worker addresses that will register with the dispatcher.
getWorkerAddressesList() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: (Optional.) If the job uses auto-sharding, it needs to specify a fixed list of worker addresses that will register with the dispatcher.
getWorkerLog(int) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
getWorkerLog(int) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse: repeated .tensorflow.Event worker_log = 2;
getWorkerLog(int) - Method in interface org.tensorflow.proto.util.WorkerHeartbeatResponseOrBuilder: repeated .tensorflow.Event worker_log = 2;
getWorkerLogBuilder(int) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
getWorkerLogBuilderList() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
getWorkerLogCount() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
getWorkerLogCount() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse: repeated .tensorflow.Event worker_log = 2;
getWorkerLogCount() - Method in interface org.tensorflow.proto.util.WorkerHeartbeatResponseOrBuilder: repeated .tensorflow.Event worker_log = 2;
getWorkerLogList() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
getWorkerLogList() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse: repeated .tensorflow.Event worker_log = 2;
getWorkerLogList() - Method in interface org.tensorflow.proto.util.WorkerHeartbeatResponseOrBuilder: repeated .tensorflow.Event worker_log = 2;
getWorkerLogOrBuilder(int) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
getWorkerLogOrBuilder(int) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse: repeated .tensorflow.Event worker_log = 2;
getWorkerLogOrBuilder(int) - Method in interface org.tensorflow.proto.util.WorkerHeartbeatResponseOrBuilder: repeated .tensorflow.Event worker_log = 2;
getWorkerLogOrBuilderList() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
getWorkerLogOrBuilderList() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse: repeated .tensorflow.Event worker_log = 2;
getWorkerLogOrBuilderList() - Method in interface org.tensorflow.proto.util.WorkerHeartbeatResponseOrBuilder: repeated .tensorflow.Event worker_log = 2;
getWorkerTags(int) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: Tags attached to the worker.
getWorkerTags(int) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: Tags attached to the worker.
getWorkerTags(int) - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: Tags attached to the worker.
getWorkerTagsBytes(int) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: Tags attached to the worker.
getWorkerTagsBytes(int) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: Tags attached to the worker.
getWorkerTagsBytes(int) - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: Tags attached to the worker.
getWorkerTagsCount() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: Tags attached to the worker.
getWorkerTagsCount() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: Tags attached to the worker.
getWorkerTagsCount() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: Tags attached to the worker.
getWorkerTagsList() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: Tags attached to the worker.
getWorkerTagsList() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: Tags attached to the worker.
getWorkerTagsList() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: Tags attached to the worker.
getWorkFinished() - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder: int64 work_finished = 2;
getWorkFinished() - Method in class org.tensorflow.proto.framework.ReaderBaseState: int64 work_finished = 2;
getWorkFinished() - Method in interface org.tensorflow.proto.framework.ReaderBaseStateOrBuilder: int64 work_finished = 2;
getWorkStarted() - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder: int64 work_started = 1;
getWorkStarted() - Method in class org.tensorflow.proto.framework.ReaderBaseState: int64 work_started = 1;
getWorkStarted() - Method in interface org.tensorflow.proto.framework.ReaderBaseStateOrBuilder: int64 work_started = 1;
getXlaFusionAutotunerThresh() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Minimum number of batches run through the XLA graph before XLA fusion autotuner is enabled.
getXlaFusionAutotunerThresh() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental: Minimum number of batches run through the XLA graph before XLA fusion autotuner is enabled.
getXlaFusionAutotunerThresh() - Method in interface org.tensorflow.proto.framework.ConfigProto.ExperimentalOrBuilder: Minimum number of batches run through the XLA graph before XLA fusion autotuner is enabled.
getXlaGlobalId() - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: A physical device ID for use in XLA DeviceAssignments, unique across clients in a multi-client setup.
getXlaGlobalId() - Method in class org.tensorflow.proto.framework.DeviceAttributes: A physical device ID for use in XLA DeviceAssignments, unique across clients in a multi-client setup.
getXlaGlobalId() - Method in interface org.tensorflow.proto.framework.DeviceAttributesOrBuilder: A physical device ID for use in XLA DeviceAssignments, unique across clients in a multi-client setup.
givenYMax(Float) - Static method in class org.tensorflow.op.nn.QuantizedInstanceNorm: Sets the givenYMax option.
givenYMax - Variable in class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs: Output in `y_max` if `output_range_given` is True.
givenYMax(Float) - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm.Options: Sets the givenYMax option.
givenYMin(Float) - Static method in class org.tensorflow.op.nn.QuantizedInstanceNorm: Sets the givenYMin option.
givenYMin - Variable in class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs: Output in `y_min` if `output_range_given` is True.
givenYMin(Float) - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm.Options: Sets the givenYMin option.
glimpse() - Method in class org.tensorflow.op.image.ExtractGlimpse: Gets glimpse.
Global() - Static method in class org.tensorflow.internal.c_api.GradOpRegistry: Returns a pointer to the global gradient function registry.
GLOBAL_JIT_LEVEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OptimizerOptions
GLOBAL_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ThreadPoolOptionProto
GLOBAL_STEP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DebugOptions
globalStep - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: Training step number.
globalStep - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: Training step number.
globalStep - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: Training step number.
globalStep - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: Training step number.
GPU_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto
GPU_VALUE - Static variable in enum org.tensorflow.proto.profiler.ProfileOptions.DeviceType: GPU = 2;
GPUInfo - Class in org.tensorflow.proto.util.testlog: Protobuf type tensorflow.GPUInfo
GPUInfo.Builder - Class in org.tensorflow.proto.util.testlog: Protobuf type tensorflow.GPUInfo
GPUInfoOrBuilder - Interface in org.tensorflow.proto.util.testlog
GPUOptions - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.GPUOptions
GPUOptions.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.GPUOptions
GPUOptions.Experimental - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.GPUOptions.Experimental
GPUOptions.Experimental.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.GPUOptions.Experimental
GPUOptions.Experimental.VirtualDevices - Class in org.tensorflow.proto.framework: Configuration for breaking down a visible GPU into multiple "virtual" devices.
GPUOptions.Experimental.VirtualDevices.Builder - Class in org.tensorflow.proto.framework: Configuration for breaking down a visible GPU into multiple "virtual" devices.
GPUOptions.Experimental.VirtualDevicesOrBuilder - Interface in org.tensorflow.proto.framework
GPUOptions.ExperimentalOrBuilder - Interface in org.tensorflow.proto.framework
GPUOptionsOrBuilder - Interface in org.tensorflow.proto.framework
GpuSupportsHalfMatMulAndConv() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
grad - Variable in class org.tensorflow.op.core.UnbatchGrad.Inputs: The grad input
grad - Variable in class org.tensorflow.op.linalg.BatchCholeskyGrad.Inputs: The grad input
grad - Variable in class org.tensorflow.op.linalg.CholeskyGrad.Inputs: df/dl where f is some scalar function.
grad - Variable in class org.tensorflow.op.nn.AvgPool3dGrad.Inputs: Output backprop of shape [batch, depth, rows, cols, channels].
grad - Variable in class org.tensorflow.op.nn.AvgPoolGrad.Inputs: 4-D with shape [batch, height, width, channels].
grad - Variable in class org.tensorflow.op.nn.MaxPool3dGrad.Inputs: Output backprop of shape [batch, depth, rows, cols, channels].
grad - Variable in class org.tensorflow.op.nn.MaxPool3dGradGrad.Inputs: Output backprop of shape [batch, depth, rows, cols, channels].
grad - Variable in class org.tensorflow.op.nn.MaxPoolGrad.Inputs: 4-D.
grad - Variable in class org.tensorflow.op.nn.MaxPoolGradGrad.Inputs: 4-D.
grad - Variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs: 4-D with shape [batch, height, width, channels].
grad - Variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs: 4-D with shape [batch, height, width, channels].
grad - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanGrad.Inputs: gradient propagated to the SparseSegmentMean op.
grad - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad.Inputs: gradient propagated to the SparseSegmentSqrtN op.
grad - Variable in class org.tensorflow.op.sparse.SparseSegmentSumGrad.Inputs: gradient propagated to the SparseSegmentSum op.
grad - Variable in class org.tensorflow.op.train.ApplyAdadelta.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyAdagrad.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyAdagradV2.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyAddSign.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyMomentum.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyPowerSign.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyProximalAdagrad.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyAdagrad.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyAddSign.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyMomentum.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: The gradient.
GradFunc - Class in org.tensorflow.internal.c_api: GradFunc is the signature for all gradient functions in GradOpRegistry.
GradFunc(Pointer) - Constructor for class org.tensorflow.internal.c_api.GradFunc: Pointer cast constructor.
GradFunc() - Constructor for class org.tensorflow.internal.c_api.GradFunc
gradHandle() - Method in class org.tensorflow.op.core.TensorArrayGrad: Gets gradHandle.
gradHandle() - Method in class org.tensorflow.op.core.TensorArrayGradWithShape: Gets gradHandle.
gradient() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmaxGrad: Gets gradient.
gradient() - Method in class org.tensorflow.op.nn.CtcLoss: Gets gradient.
gradient() - Method in class org.tensorflow.op.nn.CTCLossV2: Gets gradient.
gradient - Variable in class org.tensorflow.op.train.AccumulatorApplyGradient.Inputs: A tensor of the gradient to be accumulated.
gradient - Variable in class org.tensorflow.op.train.ResourceAccumulatorApplyGradient.Inputs: A tensor of the gradient to be accumulated.
GRADIENT_DESCENT_VALUE - Static variable in enum org.tensorflow.proto.data.model.AutotuneAlgorithm: GRADIENT_DESCENT = 1;
GRADIENT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.FunctionDefLibrary
GRADIENT_FUNC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GradientDef
GRADIENT_FUNC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RegisteredGradient
gradientAccumulator - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: Should be from a Variable().
gradientAccumulator - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: Should be from a Variable().
gradientAccumulator - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: Should be from a Variable().
gradientAccumulator - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: Should be from a Variable().
GradientDef - Class in org.tensorflow.proto.framework: GradientDef defines the gradient function of a function defined in a function library.
GradientDef.Builder - Class in org.tensorflow.proto.framework: GradientDef defines the gradient function of a function defined in a function library.
GradientDefOrBuilder - Interface in org.tensorflow.proto.framework
gradientIndices - Variable in class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient.Inputs: Indices of the sparse gradient to be accumulated.
Gradients - Class in org.tensorflow.op.core: Adds operations to compute the partial derivatives of sum of ys w.r.t xs, i.e., d(y_1 + y_2 + ...)/dx_1, d(y_1 + y_2 + ...)/dx_2...
gradients - Variable in class org.tensorflow.op.data.LeakyReluGrad.Inputs: The backpropagated gradients to the corresponding LeakyRelu operation.
gradients - Variable in class org.tensorflow.op.estimator.BoostedTreesAggregateStats.Inputs: float32; Rank 2 Tensor (shape=[batch_size, logits_dimension]) with gradients for each example.
gradients - Variable in class org.tensorflow.op.estimator.BoostedTreesMakeStatsSummary.Inputs: float32; Rank 2 Tensor (shape=[#examples, 1]) for gradients.
gradients - Variable in class org.tensorflow.op.estimator.BoostedTreesSparseAggregateStats.Inputs: float32; Rank 2 Tensor (shape=[batch_size, logits_dimension]) with gradients for each example.
gradients - Variable in class org.tensorflow.op.math.SoftplusGrad.Inputs: The backpropagated gradients to the corresponding softplus operation.
gradients - Variable in class org.tensorflow.op.nn.EluGrad.Inputs: The backpropagated gradients to the corresponding Elu operation.
gradients - Variable in class org.tensorflow.op.nn.Relu6Grad.Inputs: The backpropagated gradients to the corresponding Relu6 operation.
gradients - Variable in class org.tensorflow.op.nn.ReluGrad.Inputs: The backpropagated gradients to the corresponding Relu operation.
gradients - Variable in class org.tensorflow.op.nn.SeluGrad.Inputs: The backpropagated gradients to the corresponding Selu operation.
gradients - Variable in class org.tensorflow.op.nn.SoftsignGrad.Inputs: The backpropagated gradients to the corresponding softsign operation.
gradients(Iterable<? extends Operand<?>>, Iterable<? extends Operand<?>>, Gradients.Options...) - Method in class org.tensorflow.op.Ops: Adds gradients computation ops to the graph according to scope.
gradients(Operand<?>, Iterable<? extends Operand<?>>, Gradients.Options...) - Method in class org.tensorflow.op.Ops: Adds operations to compute the partial derivatives of sum of ys w.r.t xs, i.e., d(y_1 + y_2 + ...)/dx_1, d(y_1 + y_2 + ...)/dx_2...
gradients - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Inputs: Backpropagated gradients above the FakeQuantWithMinMaxArgs operation.
gradients - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Inputs: Backpropagated gradients above the FakeQuantWithMinMaxVars operation.
gradients - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Inputs: Backpropagated gradients above the FakeQuantWithMinMaxVars operation, shape one of: [d], [b, d], [b, h, w, d].
gradients - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad.Inputs: The gradients input
Gradients.Options - Class in org.tensorflow.op.core: Optional attributes for Gradients
GradientScope - Class in org.tensorflow.op: A Scope implementation backed by a native scope.
gradientShape - Variable in class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient.Inputs: Shape of the sparse gradient to be accumulated.
gradientSquaredAccumulator - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: Should be from a Variable().
gradientSquaredAccumulator - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: Should be from a Variable().
gradientSquaredAccumulator - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: Should be from a Variable().
gradientSquaredAccumulator - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: Should be from a Variable().
gradientValues - Variable in class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient.Inputs: Values are the non-zero slices of the gradient, and must have the same first dimension as indices, i.e., the nnz represented by indices and values must be consistent.
GradOpRegistry - Class in org.tensorflow.internal.c_api: GradOpRegistry maintains a static registry of gradient functions.
GradOpRegistry() - Constructor for class org.tensorflow.internal.c_api.GradOpRegistry: Default native constructor.
GradOpRegistry(long) - Constructor for class org.tensorflow.internal.c_api.GradOpRegistry: Native array allocator.
GradOpRegistry(Pointer) - Constructor for class org.tensorflow.internal.c_api.GradOpRegistry: Pointer cast constructor.
grads - Variable in class org.tensorflow.op.image.CropAndResizeGradBoxes.Inputs: A 4-D tensor of shape [num_boxes, crop_height, crop_width, depth].
grads - Variable in class org.tensorflow.op.image.CropAndResizeGradImage.Inputs: A 4-D tensor of shape [num_boxes, crop_height, crop_width, depth].
grads - Variable in class org.tensorflow.op.image.ResizeBicubicGrad.Inputs: 4-D with shape [batch, height, width, channels].
grads - Variable in class org.tensorflow.op.image.ResizeBilinearGrad.Inputs: 4-D with shape [batch, height, width, channels].
grads - Variable in class org.tensorflow.op.image.ResizeNearestNeighborGrad.Inputs: 4-D with shape [batch, height, width, channels].
grads - Variable in class org.tensorflow.op.image.ScaleAndTranslateGrad.Inputs: The grads input
gradSoftmax - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmaxGrad.Inputs: The gradient of softmax.
gradTimeoutMicros - Variable in class org.tensorflow.op.core.Batch.Inputs: The gradTimeoutMicros attribute
gradValues - Variable in class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad.Inputs: 1-D.
Graph - Class in org.tensorflow: A data flow graph representing a TensorFlow computation.
Graph() - Constructor for class org.tensorflow.Graph: Create an empty Graph.
graph - Variable in class org.tensorflow.internal.c_api.AbstractTF_Session: References to prevent deallocation.
graph() - Method in class org.tensorflow.internal.c_api.TF_Graph
graph() - Method in class org.tensorflow.internal.c_api.TF_OperationDescription
graph(TF_Graph) - Method in class org.tensorflow.internal.c_api.TF_OperationDescription
graph() - Method in class org.tensorflow.internal.c_api.TF_Scope
graph() - Method in class org.tensorflow.op.data.DatasetToGraph: Gets graph.
graph() - Method in class org.tensorflow.SavedModelBundle: Returns the graph that describes the computation performed by the model.
Graph.WhileSubgraphBuilder - Interface in org.tensorflow: Used to instantiate an abstract class which overrides the buildSubgraph method to build a conditional or body subgraph for a while loop.
GRAPH_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MetaGraphDef
GRAPH_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.Event
GRAPH_EXECUTION_TRACE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.DebugEvent
GRAPH_HASH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
GRAPH_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.DebugEvent
GRAPH_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.DebuggedGraph
GRAPH_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.Execution
GRAPH_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.GraphOpCreation
GRAPH_INPUT_NODE_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferInfo
GRAPH_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.DebuggedGraph
GRAPH_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.GraphOpCreation
GRAPH_OP_CREATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.DebugEvent
GRAPH_OP_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ApiDef
GRAPH_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto
GRAPH_OUTPUT_NODE_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferInfo
GraphDebugInfo - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.GraphDebugInfo
GraphDebugInfo.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.GraphDebugInfo
GraphDebugInfo.FileLineCol - Class in org.tensorflow.proto.framework: This represents a file/line location in the source code.
GraphDebugInfo.FileLineCol.Builder - Class in org.tensorflow.proto.framework: This represents a file/line location in the source code.
GraphDebugInfo.FileLineColOrBuilder - Interface in org.tensorflow.proto.framework
GraphDebugInfo.StackTrace - Class in org.tensorflow.proto.framework: This represents a stack trace which is a ordered list of `FileLineCol`.
GraphDebugInfo.StackTrace.Builder - Class in org.tensorflow.proto.framework: This represents a stack trace which is a ordered list of `FileLineCol`.
GraphDebugInfo.StackTraceOrBuilder - Interface in org.tensorflow.proto.framework
GraphDebugInfoOrBuilder - Interface in org.tensorflow.proto.framework
GraphDebugInfoProtos - Class in org.tensorflow.proto.framework
graphDef - Variable in class org.tensorflow.op.data.DatasetFromGraph.Inputs: The graph representation of the dataset (as serialized GraphDef).
GraphDef - Class in org.tensorflow.proto.framework: Represents the graph of operations
GraphDef.Builder - Class in org.tensorflow.proto.framework: Represents the graph of operations
GraphDefOrBuilder - Interface in org.tensorflow.proto.framework
GraphExecutionTrace - Class in org.tensorflow.proto.util: Data relating to an execution of a Graph (e.g., an eager execution of a FuncGraph).
GraphExecutionTrace.Builder - Class in org.tensorflow.proto.util: Data relating to an execution of a Graph (e.g., an eager execution of a FuncGraph).
GraphExecutionTraceOrBuilder - Interface in org.tensorflow.proto.util
GraphOpCreation - Class in org.tensorflow.proto.util: The creation of an op in a TensorFlow Graph (e.g., FuncGraph in TF2).
GraphOpCreation.Builder - Class in org.tensorflow.proto.util: The creation of an op in a TensorFlow Graph (e.g., FuncGraph in TF2).
GraphOpCreationOrBuilder - Interface in org.tensorflow.proto.util
GraphOperation - Class in org.tensorflow: Implementation for an Operation added as a node to a Graph.
GraphOperationBuilder - Class in org.tensorflow: An OperationBuilder for adding GraphOperations to a Graph.
GraphOptions - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.GraphOptions
GraphOptions.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.GraphOptions
GraphOptionsOrBuilder - Interface in org.tensorflow.proto.framework
GraphProtos - Class in org.tensorflow.proto.framework
GraphTransferConstNodeInfo - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.GraphTransferConstNodeInfo
GraphTransferConstNodeInfo.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.GraphTransferConstNodeInfo
GraphTransferConstNodeInfoOrBuilder - Interface in org.tensorflow.proto.framework
GraphTransferGraphInputNodeInfo - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.GraphTransferGraphInputNodeInfo
GraphTransferGraphInputNodeInfo.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.GraphTransferGraphInputNodeInfo
GraphTransferGraphInputNodeInfoOrBuilder - Interface in org.tensorflow.proto.framework
GraphTransferGraphOutputNodeInfo - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.GraphTransferGraphOutputNodeInfo
GraphTransferGraphOutputNodeInfo.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.GraphTransferGraphOutputNodeInfo
GraphTransferGraphOutputNodeInfoOrBuilder - Interface in org.tensorflow.proto.framework
GraphTransferInfo - Class in org.tensorflow.proto.framework: Protocol buffer representing a handle to a tensorflow resource.
GraphTransferInfo.Builder - Class in org.tensorflow.proto.framework: Protocol buffer representing a handle to a tensorflow resource.
GraphTransferInfo.Destination - Enum in org.tensorflow.proto.framework: Protobuf enum tensorflow.GraphTransferInfo.Destination
GraphTransferInfoOrBuilder - Interface in org.tensorflow.proto.framework
GraphTransferInfoProto - Class in org.tensorflow.proto.framework
GraphTransferNodeInfo - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.GraphTransferNodeInfo
GraphTransferNodeInfo.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.GraphTransferNodeInfo
GraphTransferNodeInfoOrBuilder - Interface in org.tensorflow.proto.framework
GraphTransferNodeInput - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.GraphTransferNodeInput
GraphTransferNodeInput.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.GraphTransferNodeInput
GraphTransferNodeInputInfo - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.GraphTransferNodeInputInfo
GraphTransferNodeInputInfo.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.GraphTransferNodeInputInfo
GraphTransferNodeInputInfoOrBuilder - Interface in org.tensorflow.proto.framework
GraphTransferNodeInputOrBuilder - Interface in org.tensorflow.proto.framework
GraphTransferNodeOutputInfo - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.GraphTransferNodeOutputInfo
GraphTransferNodeOutputInfo.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.GraphTransferNodeOutputInfo
GraphTransferNodeOutputInfoOrBuilder - Interface in org.tensorflow.proto.framework
Greater - Class in org.tensorflow.op.math: Returns the truth value of (x > y) element-wise.
Greater(Operation) - Constructor for class org.tensorflow.op.math.Greater
greater(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns the truth value of (x > y) element-wise.
Greater.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
GreaterEqual - Class in org.tensorflow.op.math: Returns the truth value of (x >= y) element-wise.
GreaterEqual(Operation) - Constructor for class org.tensorflow.op.math.GreaterEqual
greaterEqual(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns the truth value of (x >= y) element-wise.
GreaterEqual.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
groupAssignment - Variable in class org.tensorflow.op.collective.CollectiveAllToAll.Inputs: The groupAssignment input
groupAssignment - Variable in class org.tensorflow.op.collective.CollectiveReduce.Inputs: The groupAssignment input
groupAssignment - Variable in class org.tensorflow.op.tpu.AllToAll.Inputs: An int32 tensor with shape [num_groups, num_replicas_per_group].
groupAssignment - Variable in class org.tensorflow.op.tpu.CrossReplicaSum.Inputs: An int32 tensor with shape [num_groups, num_replicas_per_group].
groupAssignment - Variable in class org.tensorflow.op.xla.AllReduce.Inputs: Groups between which the reductions are performed.
groupAssignment - Variable in class org.tensorflow.op.xla.ReduceScatter.Inputs: Groups between which the reductions are performed.
GroupByReducerDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that computes a group-by on input_dataset.
GroupByReducerDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.GroupByReducerDataset
GroupByReducerDataset - Class in org.tensorflow.op.data: Creates a dataset that computes a group-by on input_dataset.
GroupByReducerDataset(Operation) - Constructor for class org.tensorflow.op.data.GroupByReducerDataset
groupByReducerDataset(Operand<? extends TType>, Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, ConcreteFunction, ConcreteFunction, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Creates a dataset that computes a group-by on input_dataset.
GroupByReducerDataset.Inputs - Class in org.tensorflow.op.data.experimental
GroupByReducerDataset.Inputs - Class in org.tensorflow.op.data
GroupByWindowDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that computes a windowed group-by on input_dataset.
GroupByWindowDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.GroupByWindowDataset
GroupByWindowDataset - Class in org.tensorflow.op.data: Creates a dataset that computes a windowed group-by on input_dataset.
GroupByWindowDataset(Operation) - Constructor for class org.tensorflow.op.data.GroupByWindowDataset
groupByWindowDataset(Operand<? extends TType>, Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, GroupByWindowDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that computes a windowed group-by on input_dataset.
GroupByWindowDataset.Inputs - Class in org.tensorflow.op.data.experimental
GroupByWindowDataset.Inputs - Class in org.tensorflow.op.data
GroupByWindowDataset.Options - Class in org.tensorflow.op.data: Optional attributes for GroupByWindowDataset
groupKey - Variable in class org.tensorflow.op.collective.CollectiveBcastRecv.Inputs: The groupKey input
groupKey - Variable in class org.tensorflow.op.collective.CollectiveBcastSend.Inputs: The groupKey input
groupKey - Variable in class org.tensorflow.op.collective.CollectiveGather.Inputs: The groupKey input
groupKey - Variable in class org.tensorflow.op.collective.CollectiveInitializeCommunicator.Inputs: The groupKey input
groupSize - Variable in class org.tensorflow.op.collective.CollectiveBcastRecv.Inputs: The groupSize input
groupSize - Variable in class org.tensorflow.op.collective.CollectiveBcastSend.Inputs: The groupSize input
groupSize - Variable in class org.tensorflow.op.collective.CollectiveGather.Inputs: The groupSize input
groupSize - Variable in class org.tensorflow.op.collective.CollectiveInitializeCommunicator.Inputs: The groupSize input
GRUBlockCell<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the GRU cell forward propagation for 1 time step.
GRUBlockCell(Operation) - Constructor for class org.tensorflow.op.nn.GRUBlockCell
GRUBlockCell.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
GRUBlockCellGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the GRU cell back-propagation for 1 time step.
GRUBlockCellGrad(Operation) - Constructor for class org.tensorflow.op.nn.GRUBlockCellGrad
GRUBlockCellGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
GuaranteeConst<T extends TType> - Class in org.tensorflow.op.core: Gives a guarantee to the TF runtime that the input tensor is a constant.
GuaranteeConst(Operation) - Constructor for class org.tensorflow.op.core.GuaranteeConst
guaranteeConst(Operand<T>) - Method in class org.tensorflow.op.Ops: Gives a guarantee to the TF runtime that the input tensor is a constant.
GuaranteeConst.Inputs<T extends TType> - Class in org.tensorflow.op.core
guaranteedConstants - Variable in class org.tensorflow.op.tpu.Compile.Inputs: The guaranteedConstants input

H

h() - Method in class org.tensorflow.op.nn.BlockLSTM: Gets h.
h - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The output h vector over the whole time sequence.
h() - Method in class org.tensorflow.op.nn.GRUBlockCell: Gets h.
h() - Method in class org.tensorflow.op.nn.LSTMBlockCell: Gets h.
HALF_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorProto
halfPixelCenters(Boolean) - Static method in class org.tensorflow.op.image.QuantizedResizeBilinear: Sets the halfPixelCenters option.
halfPixelCenters - Variable in class org.tensorflow.op.image.QuantizedResizeBilinear.Inputs: The halfPixelCenters attribute
halfPixelCenters(Boolean) - Method in class org.tensorflow.op.image.QuantizedResizeBilinear.Options: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Static method in class org.tensorflow.op.image.ResizeBicubic: Sets the halfPixelCenters option.
halfPixelCenters - Variable in class org.tensorflow.op.image.ResizeBicubic.Inputs: The halfPixelCenters attribute
halfPixelCenters(Boolean) - Method in class org.tensorflow.op.image.ResizeBicubic.Options: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Static method in class org.tensorflow.op.image.ResizeBicubicGrad: Sets the halfPixelCenters option.
halfPixelCenters - Variable in class org.tensorflow.op.image.ResizeBicubicGrad.Inputs: The halfPixelCenters attribute
halfPixelCenters(Boolean) - Method in class org.tensorflow.op.image.ResizeBicubicGrad.Options: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Static method in class org.tensorflow.op.image.ResizeBilinear: Sets the halfPixelCenters option.
halfPixelCenters - Variable in class org.tensorflow.op.image.ResizeBilinear.Inputs: The halfPixelCenters attribute
halfPixelCenters(Boolean) - Method in class org.tensorflow.op.image.ResizeBilinear.Options: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Static method in class org.tensorflow.op.image.ResizeBilinearGrad: Sets the halfPixelCenters option.
halfPixelCenters - Variable in class org.tensorflow.op.image.ResizeBilinearGrad.Inputs: The halfPixelCenters attribute
halfPixelCenters(Boolean) - Method in class org.tensorflow.op.image.ResizeBilinearGrad.Options: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Static method in class org.tensorflow.op.image.ResizeNearestNeighbor: Sets the halfPixelCenters option.
halfPixelCenters - Variable in class org.tensorflow.op.image.ResizeNearestNeighbor.Inputs: The halfPixelCenters attribute
halfPixelCenters(Boolean) - Method in class org.tensorflow.op.image.ResizeNearestNeighbor.Options: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Static method in class org.tensorflow.op.image.ResizeNearestNeighborGrad: Sets the halfPixelCenters option.
halfPixelCenters - Variable in class org.tensorflow.op.image.ResizeNearestNeighborGrad.Inputs: The halfPixelCenters attribute
halfPixelCenters(Boolean) - Method in class org.tensorflow.op.image.ResizeNearestNeighborGrad.Options: Sets the halfPixelCenters option.
handle() - Method in class org.tensorflow.op.core.Barrier: Gets handle.
handle - Variable in class org.tensorflow.op.core.BarrierClose.Inputs: The handle to a barrier.
handle - Variable in class org.tensorflow.op.core.BarrierIncompleteSize.Inputs: The handle to a barrier.
handle - Variable in class org.tensorflow.op.core.BarrierInsertMany.Inputs: The handle to a barrier.
handle - Variable in class org.tensorflow.op.core.BarrierReadySize.Inputs: The handle to a barrier.
handle - Variable in class org.tensorflow.op.core.BarrierTakeMany.Inputs: The handle to a barrier.
handle - Variable in class org.tensorflow.op.core.DeleteSessionTensor.Inputs: The handle for a tensor stored in the session state.
handle() - Method in class org.tensorflow.op.core.DummyMemoryCache: Gets handle.
handle() - Method in class org.tensorflow.op.core.EmptyTensorList: Gets handle.
handle() - Method in class org.tensorflow.op.core.EmptyTensorMap: Gets handle.
handle() - Method in class org.tensorflow.op.core.GetSessionHandle: Gets handle.
handle - Variable in class org.tensorflow.op.core.GetSessionTensor.Inputs: The handle for a tensor stored in the session state.
handle() - Method in class org.tensorflow.op.core.TensorArray: Gets handle.
handle - Variable in class org.tensorflow.op.core.TensorArrayClose.Inputs: The handle to a TensorArray (output of TensorArray or TensorArrayGrad).
handle - Variable in class org.tensorflow.op.core.TensorArrayConcat.Inputs: The handle to a TensorArray.
handle - Variable in class org.tensorflow.op.core.TensorArrayGather.Inputs: The handle to a TensorArray.
handle - Variable in class org.tensorflow.op.core.TensorArrayGrad.Inputs: The handle to the forward TensorArray.
handle - Variable in class org.tensorflow.op.core.TensorArrayGradWithShape.Inputs: The handle to the forward TensorArray.
handle - Variable in class org.tensorflow.op.core.TensorArrayPack.Inputs: The handle input
handle - Variable in class org.tensorflow.op.core.TensorArrayRead.Inputs: The handle to a TensorArray.
handle - Variable in class org.tensorflow.op.core.TensorArrayScatter.Inputs: The handle to a TensorArray.
handle - Variable in class org.tensorflow.op.core.TensorArraySize.Inputs: The handle to a TensorArray (output of TensorArray or TensorArrayGrad).
handle - Variable in class org.tensorflow.op.core.TensorArraySplit.Inputs: The handle to a TensorArray.
handle - Variable in class org.tensorflow.op.core.TensorArrayUnpack.Inputs: The handle input
handle - Variable in class org.tensorflow.op.core.TensorArrayWrite.Inputs: The handle to a TensorArray.
handle() - Method in class org.tensorflow.op.core.TensorListReserve: Gets handle.
handle() - Method in class org.tensorflow.op.data.AnonymousIterator: Gets handle.
handle() - Method in class org.tensorflow.op.data.AnonymousMemoryCache: Gets handle.
handle() - Method in class org.tensorflow.op.data.AnonymousMultiDeviceIterator: Gets handle.
handle() - Method in class org.tensorflow.op.data.AssertCardinalityDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.AssertNextDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.AutoShardDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.BatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.BytesProducedStatsDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.CacheDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ChooseFastestBranchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ChooseFastestDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ConcatenateDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.CSVDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.DataServiceDatasetV2: Gets handle.
handle() - Method in class org.tensorflow.op.data.DatasetFromGraph: Gets handle.
handle - Variable in class org.tensorflow.op.data.DeleteIterator.Inputs: A handle to the iterator to delete.
handle - Variable in class org.tensorflow.op.data.DeleteMemoryCache.Inputs: The handle input
handle() - Method in class org.tensorflow.op.data.DenseToSparseBatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.DirectedInterleaveDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.DummyIterationCounter: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.AssertNextDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.AutoShardDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.BytesProducedStatsDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.ChooseFastestDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.CSVDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.DirectedInterleaveDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.GroupByReducerDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.GroupByWindowDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.LatencyStatsDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.LmdbDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.MapAndBatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.MapDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.MatchingFilesDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.NonSerializableDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.ParseExampleDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.RandomDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.RebatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.ScanDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.SleepDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.SlidingWindowDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.SqlDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.StatsAggregatorHandle: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.TakeWhileDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.ThreadPoolDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.ThreadPoolHandle: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.UnbatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.UniqueDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.FilterDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.FinalizeDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.FixedLengthRecordDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.FlatMapDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.GeneratorDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.GroupByReducerDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.GroupByWindowDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.IgnoreErrorsDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.InterleaveDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.Iterator: Gets handle.
handle() - Method in class org.tensorflow.op.data.LatencyStatsDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.LegacyParallelInterleaveDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.LMDBDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.LoadDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.MapAndBatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.MapDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.MatchingFilesDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.MaxIntraOpParallelismDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ModelDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.MultiDeviceIterator: Gets handle.
handle() - Method in class org.tensorflow.op.data.NonSerializableDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.OneShotIterator: Gets handle.
handle() - Method in class org.tensorflow.op.data.OptimizeDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.OptionsDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.PaddedBatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ParallelBatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ParallelInterleaveDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ParallelMapDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ParseExampleDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.PrefetchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.PrivateThreadPoolDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.RandomDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.RangeDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.RebatchDatasetV2: Gets handle.
handle() - Method in class org.tensorflow.op.data.RepeatDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SamplingDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SaveDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ScanDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SetStatsAggregatorDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ShardDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ShuffleAndRepeatDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ShuffleDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SkipDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SleepDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SlidingWindowDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SnapshotDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SnapshotDatasetReader: Gets handle.
handle() - Method in class org.tensorflow.op.data.SnapshotNestedDatasetReader: Gets handle.
handle() - Method in class org.tensorflow.op.data.SparseTensorSliceDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SqlDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.StatsAggregatorHandle: Gets handle.
handle() - Method in class org.tensorflow.op.data.TakeDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.TakeWhileDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.TensorDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.TensorSliceDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.TextLineDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.TfRecordDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ThreadPoolDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ThreadPoolHandle: Gets handle.
handle() - Method in class org.tensorflow.op.data.UnbatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.UniqueDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.WindowDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.WindowOp: Gets handle.
handle() - Method in class org.tensorflow.op.data.ZipDataset: Gets handle.
handle() - Method in class org.tensorflow.op.io.FifoQueue: Gets handle.
handle() - Method in class org.tensorflow.op.io.PaddingFifoQueue: Gets handle.
handle() - Method in class org.tensorflow.op.io.PriorityQueue: Gets handle.
handle - Variable in class org.tensorflow.op.io.QueueClose.Inputs: The handle to a queue.
handle - Variable in class org.tensorflow.op.io.QueueDequeue.Inputs: The handle to a queue.
handle - Variable in class org.tensorflow.op.io.QueueDequeueMany.Inputs: The handle to a queue.
handle - Variable in class org.tensorflow.op.io.QueueDequeueUpTo.Inputs: The handle to a queue.
handle - Variable in class org.tensorflow.op.io.QueueEnqueue.Inputs: The handle to a queue.
handle - Variable in class org.tensorflow.op.io.QueueEnqueueMany.Inputs: The handle to a queue.
handle - Variable in class org.tensorflow.op.io.QueueIsClosed.Inputs: The handle to a queue.
handle - Variable in class org.tensorflow.op.io.QueueSize.Inputs: The handle to a queue.
handle() - Method in class org.tensorflow.op.io.RandomShuffleQueue: Gets handle.
handle() - Method in class org.tensorflow.op.random.AnonymousRandomSeedGenerator: Gets handle.
handle() - Method in class org.tensorflow.op.random.AnonymousSeedGenerator: Gets handle.
handle - Variable in class org.tensorflow.op.random.DeleteRandomSeedGenerator.Inputs: The handle input
handle - Variable in class org.tensorflow.op.random.DeleteSeedGenerator.Inputs: The handle input
handle() - Method in class org.tensorflow.op.random.DummySeedGenerator: Gets handle.
handle - Variable in class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient.Inputs: The handle to a accumulator.
handle - Variable in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient.Inputs: The handle to a SparseConditionalAccumulator.
handle() - Method in class org.tensorflow.op.sparse.SparseConditionalAccumulator: Gets handle.
handle - Variable in class org.tensorflow.op.train.AccumulatorApplyGradient.Inputs: The handle to a accumulator.
handle - Variable in class org.tensorflow.op.train.AccumulatorNumAccumulated.Inputs: The handle to an accumulator.
handle - Variable in class org.tensorflow.op.train.AccumulatorSetGlobalStep.Inputs: The handle to an accumulator.
handle - Variable in class org.tensorflow.op.train.AccumulatorTakeGradient.Inputs: The handle to an accumulator.
handle() - Method in class org.tensorflow.op.train.ConditionalAccumulator: Gets handle.
handle - Variable in class org.tensorflow.op.train.ResourceAccumulatorApplyGradient.Inputs: The handle to a accumulator.
handle - Variable in class org.tensorflow.op.train.ResourceAccumulatorNumAccumulated.Inputs: The handle to an accumulator.
handle - Variable in class org.tensorflow.op.train.ResourceAccumulatorSetGlobalStep.Inputs: The handle to an accumulator.
handle - Variable in class org.tensorflow.op.train.ResourceAccumulatorTakeGradient.Inputs: The handle to an accumulator.
handle() - Method in class org.tensorflow.op.train.ResourceConditionalAccumulator: Gets handle.
HANDLE_DATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef.ArgDef
HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MemoryLogStep
HARDWARE_TRACE_VALUE - Static variable in enum org.tensorflow.proto.framework.RunOptions.TraceLevel: HARDWARE_TRACE = 2;
has_assigned_device_name() - Method in class org.tensorflow.internal.c_api.Node
HAS_MINIMUM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef.AttrDef
HAS_SINGLE_REFERENCE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AllocationDescription
hasAllocationDescription() - Method in class org.tensorflow.proto.framework.TensorDescription.Builder: Information about the size and allocator used for the data
hasAllocationDescription() - Method in class org.tensorflow.proto.framework.TensorDescription: Information about the size and allocator used for the data
hasAllocationDescription() - Method in interface org.tensorflow.proto.framework.TensorDescriptionOrBuilder: Information about the size and allocator used for the data
hasAllowedValues() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder: A list of values that this kernel supports for this attr.
hasAllowedValues() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint: A list of values that this kernel supports for this attr.
hasAllowedValues() - Method in interface org.tensorflow.proto.framework.KernelDef.AttrConstraintOrBuilder: A list of values that this kernel supports for this attr.
hasAllowedValues() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: The set of allowed values.
hasAllowedValues() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef: The set of allowed values.
hasAllowedValues() - Method in interface org.tensorflow.proto.framework.OpDef.AttrDefOrBuilder: The set of allowed values.
hasAnyInfo() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: A serialized protobuf.
hasAnyInfo() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef: A serialized protobuf.
hasAnyInfo() - Method in interface org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDefOrBuilder: A serialized protobuf.
hasAnyList() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.AnyList any_list = 5;
hasAnyList() - Method in class org.tensorflow.proto.framework.CollectionDef: .tensorflow.CollectionDef.AnyList any_list = 5;
hasAnyList() - Method in interface org.tensorflow.proto.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.AnyList any_list = 5;
hasAsset() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedAsset asset = 5;
hasAsset() - Method in class org.tensorflow.proto.framework.SavedObject: .tensorflow.SavedAsset asset = 5;
hasAsset() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: .tensorflow.SavedAsset asset = 5;
hasAudio() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.Summary.Audio audio = 6;
hasAudio() - Method in class org.tensorflow.proto.framework.Summary.Value: .tensorflow.Summary.Audio audio = 6;
hasAudio() - Method in interface org.tensorflow.proto.framework.Summary.ValueOrBuilder: .tensorflow.Summary.Audio audio = 6;
hasAutoParallel() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
hasAutoParallel() - Method in class org.tensorflow.proto.framework.RewriterConfig: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
hasAutoParallel() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
hasAutotuneOptions() - Method in class org.tensorflow.proto.data.Options.Builder: The distribution strategy options associated with the dataset.
hasAutotuneOptions() - Method in class org.tensorflow.proto.data.Options: The distribution strategy options associated with the dataset.
hasAutotuneOptions() - Method in interface org.tensorflow.proto.data.OptionsOrBuilder: The distribution strategy options associated with the dataset.
hasBareConcreteFunction() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
hasBareConcreteFunction() - Method in class org.tensorflow.proto.framework.SavedObject: .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
hasBareConcreteFunction() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
hasBoundedTensorSpecValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a value for tf.BoundedTensorSpec.
hasBoundedTensorSpecValue() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents a value for tf.BoundedTensorSpec.
hasBoundedTensorSpecValue() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents a value for tf.BoundedTensorSpec.
hasBuildConfiguration() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The configuration of the build (compiled opt? with cuda? any copts?)
hasBuildConfiguration() - Method in class org.tensorflow.proto.util.testlog.TestResults: The configuration of the build (compiled opt? with cuda? any copts?)
hasBuildConfiguration() - Method in interface org.tensorflow.proto.util.testlog.TestResultsOrBuilder: The configuration of the build (compiled opt? with cuda? any copts?)
hasBytesList() - Method in class org.tensorflow.proto.example.Feature.Builder: .tensorflow.BytesList bytes_list = 1;
hasBytesList() - Method in class org.tensorflow.proto.example.Feature: .tensorflow.BytesList bytes_list = 1;
hasBytesList() - Method in interface org.tensorflow.proto.example.FeatureOrBuilder: .tensorflow.BytesList bytes_list = 1;
hasBytesList() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
hasBytesList() - Method in class org.tensorflow.proto.framework.CollectionDef: .tensorflow.CollectionDef.BytesList bytes_list = 2;
hasBytesList() - Method in interface org.tensorflow.proto.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
hasCanonicalizedInputSignature() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder: Input in canonicalized form that was received to create this concrete function.
hasCanonicalizedInputSignature() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction: Input in canonicalized form that was received to create this concrete function.
hasCanonicalizedInputSignature() - Method in interface org.tensorflow.proto.framework.SavedConcreteFunctionOrBuilder: Input in canonicalized form that was received to create this concrete function.
hasCapturedRef(Boolean) - Static method in class org.tensorflow.op.data.FinalizeDataset: Sets the hasCapturedRef option.
hasCapturedRef - Variable in class org.tensorflow.op.data.FinalizeDataset.Inputs: The hasCapturedRef attribute
hasCapturedRef(Boolean) - Method in class org.tensorflow.op.data.FinalizeDataset.Options: Sets the hasCapturedRef option.
hasCapturedTensor() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.CapturedTensor captured_tensor = 12;
hasCapturedTensor() - Method in class org.tensorflow.proto.framework.SavedObject: .tensorflow.CapturedTensor captured_tensor = 12;
hasCapturedTensor() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: .tensorflow.CapturedTensor captured_tensor = 12;
hasCluster() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The cluster of which this server is a member.
hasCluster() - Method in class org.tensorflow.proto.distruntime.ServerDef: The cluster of which this server is a member.
hasCluster() - Method in interface org.tensorflow.proto.distruntime.ServerDefOrBuilder: The cluster of which this server is a member.
hasClusterDef() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Optional list of all workers to use in this session.
hasClusterDef() - Method in class org.tensorflow.proto.framework.ConfigProto: Optional list of all workers to use in this session.
hasClusterDef() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: Optional list of all workers to use in this session.
hasClusterDeviceFilters() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: Device filters for remote tasks in the cluster.
hasClusterDeviceFilters() - Method in class org.tensorflow.proto.distruntime.ServerDef: Device filters for remote tasks in the cluster.
hasClusterDeviceFilters() - Method in interface org.tensorflow.proto.distruntime.ServerDefOrBuilder: Device filters for remote tasks in the cluster.
hasCodeLocation() - Method in class org.tensorflow.proto.util.Execution.Builder: Stack trace of the eager execution.
hasCodeLocation() - Method in class org.tensorflow.proto.util.Execution: Stack trace of the eager execution.
hasCodeLocation() - Method in interface org.tensorflow.proto.util.ExecutionOrBuilder: Stack trace of the eager execution.
hasCodeLocation() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: The unique ID for code location (stack trace) of the op's creation.
hasCodeLocation() - Method in class org.tensorflow.proto.util.GraphOpCreation: The unique ID for code location (stack trace) of the op's creation.
hasCodeLocation() - Method in interface org.tensorflow.proto.util.GraphOpCreationOrBuilder: The unique ID for code location (stack trace) of the op's creation.
hasCommitId() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The commit id (git hash or changelist)
hasCommitId() - Method in class org.tensorflow.proto.util.testlog.TestResults: The commit id (git hash or changelist)
hasCommitId() - Method in interface org.tensorflow.proto.util.testlog.TestResultsOrBuilder: The commit id (git hash or changelist)
hasCompositeTensor() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: Generic encoding for CompositeTensors.
hasCompositeTensor() - Method in class org.tensorflow.proto.framework.TensorInfo: Generic encoding for CompositeTensors.
hasCompositeTensor() - Method in interface org.tensorflow.proto.framework.TensorInfoOrBuilder: Generic encoding for CompositeTensors.
hasCondCtxt() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder: .tensorflow.CondContextDef cond_ctxt = 1;
hasCondCtxt() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef: .tensorflow.CondContextDef cond_ctxt = 1;
hasCondCtxt() - Method in interface org.tensorflow.proto.framework.ControlFlowContextDefOrBuilder: .tensorflow.CondContextDef cond_ctxt = 1;
hasConstant() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedConstant constant = 9;
hasConstant() - Method in class org.tensorflow.proto.framework.SavedObject: .tensorflow.SavedConstant constant = 9;
hasConstant() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: .tensorflow.SavedConstant constant = 9;
hasContext() - Method in class org.tensorflow.proto.example.SequenceExample.Builder: .tensorflow.Features context = 1;
hasContext() - Method in class org.tensorflow.proto.example.SequenceExample: .tensorflow.Features context = 1;
hasContext() - Method in interface org.tensorflow.proto.example.SequenceExampleOrBuilder: .tensorflow.Features context = 1;
hasCooSparse() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
hasCooSparse() - Method in class org.tensorflow.proto.framework.TensorInfo: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
hasCooSparse() - Method in interface org.tensorflow.proto.framework.TensorInfoOrBuilder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
hasCostGraph() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: The cost graph for the computation defined by the run call.
hasCostGraph() - Method in class org.tensorflow.proto.framework.RunMetadata: The cost graph for the computation defined by the run call.
hasCostGraph() - Method in interface org.tensorflow.proto.framework.RunMetadataOrBuilder: The cost graph for the computation defined by the run call.
hasCpuInfo() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: CPU Information.
hasCpuInfo() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration: CPU Information.
hasCpuInfo() - Method in interface org.tensorflow.proto.util.testlog.MachineConfigurationOrBuilder: CPU Information.
hasData() - Method in class org.tensorflow.proto.util.SavedSlice.Builder: The raw data of the slice is stored as a TensorProto.
hasData() - Method in class org.tensorflow.proto.util.SavedSlice: The raw data of the slice is stored as a TensorProto.
hasData() - Method in interface org.tensorflow.proto.util.SavedSliceOrBuilder: The raw data of the slice is stored as a TensorProto.
hasData() - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder: This exists in all but the first item of each checkpoint file.
hasData() - Method in class org.tensorflow.proto.util.SavedTensorSlices: This exists in all but the first item of each checkpoint file.
hasData() - Method in interface org.tensorflow.proto.util.SavedTensorSlicesOrBuilder: This exists in all but the first item of each checkpoint file.
hasDebuggedDevice() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: A device on which debugger-instrumented ops and/or tensors reside.
hasDebuggedDevice() - Method in class org.tensorflow.proto.util.DebugEvent: A device on which debugger-instrumented ops and/or tensors reside.
hasDebuggedDevice() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder: A device on which debugger-instrumented ops and/or tensors reside.
hasDebuggedGraph() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Information about a debugged graph.
hasDebuggedGraph() - Method in class org.tensorflow.proto.util.DebugEvent: Information about a debugged graph.
hasDebuggedGraph() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder: Information about a debugged graph.
hasDebugMetadata() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Metadata related to this debugging data.
hasDebugMetadata() - Method in class org.tensorflow.proto.util.DebugEvent: Metadata related to this debugging data.
hasDebugMetadata() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder: Metadata related to this debugging data.
hasDebugOptions() - Method in class org.tensorflow.proto.framework.RunOptions.Builder: EXPERIMENTAL.
hasDebugOptions() - Method in class org.tensorflow.proto.framework.RunOptions: EXPERIMENTAL.
hasDebugOptions() - Method in interface org.tensorflow.proto.framework.RunOptionsOrBuilder: EXPERIMENTAL.
hasDefaultSessionConfig() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The default configuration for sessions that run on this server.
hasDefaultSessionConfig() - Method in class org.tensorflow.proto.distruntime.ServerDef: The default configuration for sessions that run on this server.
hasDefaultSessionConfig() - Method in interface org.tensorflow.proto.distruntime.ServerDefOrBuilder: The default configuration for sessions that run on this server.
hasDefaultValue() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder: .tensorflow.TensorProto default_value = 3;
hasDefaultValue() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto: .tensorflow.TensorProto default_value = 3;
hasDefaultValue() - Method in interface org.tensorflow.proto.example.FixedLenFeatureProtoOrBuilder: .tensorflow.TensorProto default_value = 3;
hasDefaultValue() - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder: Specify a new default value to use for this attr.
hasDefaultValue() - Method in class org.tensorflow.proto.framework.ApiDef.Attr: Specify a new default value to use for this attr.
hasDefaultValue() - Method in interface org.tensorflow.proto.framework.ApiDef.AttrOrBuilder: Specify a new default value to use for this attr.
hasDefaultValue() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: A reasonable default for this attribute if the user does not supply a value.
hasDefaultValue() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef: A reasonable default for this attribute if the user does not supply a value.
hasDefaultValue() - Method in interface org.tensorflow.proto.framework.OpDef.AttrDefOrBuilder: A reasonable default for this attribute if the user does not supply a value.
hasDeprecation() - Method in class org.tensorflow.proto.framework.OpDef.Builder: Optional deprecation based on GraphDef versions.
hasDeprecation() - Method in class org.tensorflow.proto.framework.OpDef: Optional deprecation based on GraphDef versions.
hasDeprecation() - Method in interface org.tensorflow.proto.framework.OpDefOrBuilder: Optional deprecation based on GraphDef versions.
hasDevice() - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Device on which the operation is run.
hasDevice() - Method in class org.tensorflow.proto.framework.OpInfo: Device on which the operation is run.
hasDevice() - Method in interface org.tensorflow.proto.framework.OpInfoOrBuilder: Device on which the operation is run.
hasDictValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a dict `Value`.
hasDictValue() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents a dict `Value`.
hasDictValue() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents a dict `Value`.
hasDistributeOptions() - Method in class org.tensorflow.proto.data.Options.Builder: The distribution strategy options associated with the dataset.
hasDistributeOptions() - Method in class org.tensorflow.proto.data.Options: The distribution strategy options associated with the dataset.
hasDistributeOptions() - Method in interface org.tensorflow.proto.data.OptionsOrBuilder: The distribution strategy options associated with the dataset.
hasEntries() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The list of tests or benchmarks in this run.
hasEntries() - Method in class org.tensorflow.proto.util.testlog.TestResults: The list of tests or benchmarks in this run.
hasEntries() - Method in interface org.tensorflow.proto.util.testlog.TestResultsOrBuilder: The list of tests or benchmarks in this run.
hasExecution() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Execution of an op or a Graph (e.g., a tf.function).
hasExecution() - Method in class org.tensorflow.proto.util.DebugEvent: Execution of an op or a Graph (e.g., a tf.function).
hasExecution() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder: Execution of an op or a Graph (e.g., a tf.function).
hasExecutionTimeLogNormal() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: .tensorflow.LogNormalDistribution execution_time_log_normal = 11;
hasExecutionTimeLogNormal() - Method in class org.tensorflow.proto.framework.OpPerformance: .tensorflow.LogNormalDistribution execution_time_log_normal = 11;
hasExecutionTimeLogNormal() - Method in interface org.tensorflow.proto.framework.OpPerformanceOrBuilder: .tensorflow.LogNormalDistribution execution_time_log_normal = 11;
hasExecutionTimeNormal() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: .tensorflow.NormalDistribution execution_time_normal = 10;
hasExecutionTimeNormal() - Method in class org.tensorflow.proto.framework.OpPerformance: .tensorflow.NormalDistribution execution_time_normal = 10;
hasExecutionTimeNormal() - Method in interface org.tensorflow.proto.framework.OpPerformanceOrBuilder: .tensorflow.NormalDistribution execution_time_normal = 10;
hasExitCode() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder: .tensorflow.RequestedExitCode exit_code = 3;
hasExitCode() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest: .tensorflow.RequestedExitCode exit_code = 3;
hasExitCode() - Method in interface org.tensorflow.proto.util.WorkerHeartbeatRequestOrBuilder: .tensorflow.RequestedExitCode exit_code = 3;
hasExperimental() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: .tensorflow.ConfigProto.Experimental experimental = 16;
hasExperimental() - Method in class org.tensorflow.proto.framework.ConfigProto: .tensorflow.ConfigProto.Experimental experimental = 16;
hasExperimental() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: .tensorflow.ConfigProto.Experimental experimental = 16;
hasExperimental() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
hasExperimental() - Method in class org.tensorflow.proto.framework.GPUOptions: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
hasExperimental() - Method in interface org.tensorflow.proto.framework.GPUOptionsOrBuilder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
hasExperimental() - Method in class org.tensorflow.proto.framework.RunOptions.Builder: .tensorflow.RunOptions.Experimental experimental = 8;
hasExperimental() - Method in class org.tensorflow.proto.framework.RunOptions: .tensorflow.RunOptions.Experimental experimental = 8;
hasExperimental() - Method in interface org.tensorflow.proto.framework.RunOptionsOrBuilder: .tensorflow.RunOptions.Experimental experimental = 8;
hasExperimentalDebugInfo() - Method in class org.tensorflow.proto.framework.NodeDef.Builder: This stores debug information associated with the node.
hasExperimentalDebugInfo() - Method in class org.tensorflow.proto.framework.NodeDef: This stores debug information associated with the node.
hasExperimentalDebugInfo() - Method in interface org.tensorflow.proto.framework.NodeDefOrBuilder: This stores debug information associated with the node.
hasExperimentalFullType() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: Experimental.
hasExperimentalFullType() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef: Experimental.
hasExperimentalFullType() - Method in interface org.tensorflow.proto.framework.OpDef.ArgDefOrBuilder: Experimental.
hasExperimentalType() - Method in class org.tensorflow.proto.framework.NodeDef.Builder: The complete type of this node.
hasExperimentalType() - Method in class org.tensorflow.proto.framework.NodeDef: The complete type of this node.
hasExperimentalType() - Method in interface org.tensorflow.proto.framework.NodeDefOrBuilder: The complete type of this node.
hasFeatureLists() - Method in class org.tensorflow.proto.example.SequenceExample.Builder: .tensorflow.FeatureLists feature_lists = 2;
hasFeatureLists() - Method in class org.tensorflow.proto.example.SequenceExample: .tensorflow.FeatureLists feature_lists = 2;
hasFeatureLists() - Method in interface org.tensorflow.proto.example.SequenceExampleOrBuilder: .tensorflow.FeatureLists feature_lists = 2;
hasFeatures() - Method in class org.tensorflow.proto.example.Example.Builder: .tensorflow.Features features = 1;
hasFeatures() - Method in class org.tensorflow.proto.example.Example: .tensorflow.Features features = 1;
hasFeatures() - Method in interface org.tensorflow.proto.example.ExampleOrBuilder: .tensorflow.Features features = 1;
hasFileLineCol() - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder: Stack frame, i.e., a frame of a stack trace, containing information regarding the file name, line number, function name, code content of the line, and column number (if available).
hasFileLineCol() - Method in class org.tensorflow.proto.util.StackFrameWithId: Stack frame, i.e., a frame of a stack trace, containing information regarding the file name, line number, function name, code content of the line, and column number (if available).
hasFileLineCol() - Method in interface org.tensorflow.proto.util.StackFrameWithIdOrBuilder: Stack frame, i.e., a frame of a stack trace, containing information regarding the file name, line number, function name, code content of the line, and column number (if available).
hasFixedLenFeature() - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
hasFixedLenFeature() - Method in class org.tensorflow.proto.example.FeatureConfiguration: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
hasFixedLenFeature() - Method in interface org.tensorflow.proto.example.FeatureConfigurationOrBuilder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
hasFloatList() - Method in class org.tensorflow.proto.example.Feature.Builder: .tensorflow.FloatList float_list = 2;
hasFloatList() - Method in class org.tensorflow.proto.example.Feature: .tensorflow.FloatList float_list = 2;
hasFloatList() - Method in interface org.tensorflow.proto.example.FeatureOrBuilder: .tensorflow.FloatList float_list = 2;
hasFloatList() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.FloatList float_list = 4;
hasFloatList() - Method in class org.tensorflow.proto.framework.CollectionDef: .tensorflow.CollectionDef.FloatList float_list = 4;
hasFloatList() - Method in interface org.tensorflow.proto.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.FloatList float_list = 4;
hasFullargspec() - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder: Full arg spec from inspect.getfullargspec().
hasFullargspec() - Method in class org.tensorflow.proto.framework.FunctionSpec: Full arg spec from inspect.getfullargspec().
hasFullargspec() - Method in interface org.tensorflow.proto.framework.FunctionSpecOrBuilder: Full arg spec from inspect.getfullargspec().
hasFunc() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "func" represents a function.
hasFunc() - Method in class org.tensorflow.proto.framework.AttrValue: "func" represents a function.
hasFunc() - Method in interface org.tensorflow.proto.framework.AttrValueOrBuilder: "func" represents a function.
hasFunction() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedFunction function = 6;
hasFunction() - Method in class org.tensorflow.proto.framework.SavedObject: .tensorflow.SavedFunction function = 6;
hasFunction() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: .tensorflow.SavedFunction function = 6;
hasFunctionSpec() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder: The spec of the function that this ConcreteFunction is traced from.
hasFunctionSpec() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction: The spec of the function that this ConcreteFunction is traced from.
hasFunctionSpec() - Method in interface org.tensorflow.proto.framework.SavedBareConcreteFunctionOrBuilder: The spec of the function that this ConcreteFunction is traced from.
hasFunctionSpec() - Method in class org.tensorflow.proto.framework.SavedFunction.Builder: .tensorflow.FunctionSpec function_spec = 2;
hasFunctionSpec() - Method in class org.tensorflow.proto.framework.SavedFunction: .tensorflow.FunctionSpec function_spec = 2;
hasFunctionSpec() - Method in interface org.tensorflow.proto.framework.SavedFunctionOrBuilder: .tensorflow.FunctionSpec function_spec = 2;
hasGpuOptions() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Options that apply to all GPUs.
hasGpuOptions() - Method in class org.tensorflow.proto.framework.ConfigProto: Options that apply to all GPUs.
hasGpuOptions() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: Options that apply to all GPUs.
hasGraphDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: GraphDef.
hasGraphDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef: GraphDef.
hasGraphDef() - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: GraphDef.
hasGraphExecutionTrace() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
hasGraphExecutionTrace() - Method in class org.tensorflow.proto.util.DebugEvent: A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
hasGraphExecutionTrace() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder: A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
hasGraphOpCreation() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
hasGraphOpCreation() - Method in class org.tensorflow.proto.util.DebugEvent: The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
hasGraphOpCreation() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder: The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
hasGraphOptions() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Options that apply to all graphs.
hasGraphOptions() - Method in class org.tensorflow.proto.framework.ConfigProto: Options that apply to all graphs.
hasGraphOptions() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: Options that apply to all graphs.
hash(Long) - Static method in class org.tensorflow.op.data.SnapshotDataset: Sets the hash option.
hash - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The hash attribute
hash(Long) - Method in class org.tensorflow.op.data.SnapshotDataset.Options: Sets the hash option.
HASH_CODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ResourceHandleProto
HASH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.CommitId
hashCode() - Method in class org.tensorflow.DeviceSpec
hashCode() - Method in class org.tensorflow.GraphOperation
hashCode() - Method in class org.tensorflow.op.RawOp
hashCode() - Method in class org.tensorflow.op.RawOpInputs
hashCode() - Method in class org.tensorflow.Output
hashCode() - Method in class org.tensorflow.proto.data.AutotuneOptions
hashCode() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
hashCode() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
hashCode() - Method in class org.tensorflow.proto.data.DistributeOptions
hashCode() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
hashCode() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
hashCode() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
hashCode() - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord
hashCode() - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
hashCode() - Method in class org.tensorflow.proto.data.experimental.TensorMetadata
hashCode() - Method in class org.tensorflow.proto.data.model.ModelProto
hashCode() - Method in class org.tensorflow.proto.data.model.ModelProto.Node
hashCode() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
hashCode() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
hashCode() - Method in class org.tensorflow.proto.data.OptimizationOptions
hashCode() - Method in class org.tensorflow.proto.data.Options
hashCode() - Method in class org.tensorflow.proto.data.ThreadingOptions
hashCode() - Method in class org.tensorflow.proto.distruntime.ClusterDef
hashCode() - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
hashCode() - Method in class org.tensorflow.proto.distruntime.JobDef
hashCode() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters
hashCode() - Method in class org.tensorflow.proto.distruntime.ServerDef
hashCode() - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
hashCode() - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
hashCode() - Method in class org.tensorflow.proto.example.BytesList
hashCode() - Method in class org.tensorflow.proto.example.Example
hashCode() - Method in class org.tensorflow.proto.example.ExampleParserConfiguration
hashCode() - Method in class org.tensorflow.proto.example.Feature
hashCode() - Method in class org.tensorflow.proto.example.FeatureConfiguration
hashCode() - Method in class org.tensorflow.proto.example.FeatureList
hashCode() - Method in class org.tensorflow.proto.example.FeatureLists
hashCode() - Method in class org.tensorflow.proto.example.Features
hashCode() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto
hashCode() - Method in class org.tensorflow.proto.example.FloatList
hashCode() - Method in class org.tensorflow.proto.example.Int64List
hashCode() - Method in class org.tensorflow.proto.example.SequenceExample
hashCode() - Method in class org.tensorflow.proto.example.VarLenFeatureProto
hashCode() - Method in class org.tensorflow.proto.framework.AllocationDescription
hashCode() - Method in class org.tensorflow.proto.framework.AllocationRecord
hashCode() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
hashCode() - Method in class org.tensorflow.proto.framework.ApiDef.Arg
hashCode() - Method in class org.tensorflow.proto.framework.ApiDef.Attr
hashCode() - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint
hashCode() - Method in class org.tensorflow.proto.framework.ApiDef
hashCode() - Method in class org.tensorflow.proto.framework.ApiDefs
hashCode() - Method in class org.tensorflow.proto.framework.AssetFileDef
hashCode() - Method in class org.tensorflow.proto.framework.AttrValue
hashCode() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue
hashCode() - Method in class org.tensorflow.proto.framework.AutoParallelOptions
hashCode() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
hashCode() - Method in class org.tensorflow.proto.framework.CallableOptions
hashCode() - Method in class org.tensorflow.proto.framework.CapturedTensor
hashCode() - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList
hashCode() - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList
hashCode() - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList
hashCode() - Method in class org.tensorflow.proto.framework.CollectionDef
hashCode() - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List
hashCode() - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList
hashCode() - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
hashCode() - Method in class org.tensorflow.proto.framework.CondContextDef
hashCode() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental
hashCode() - Method in class org.tensorflow.proto.framework.ConfigProto
hashCode() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef
hashCode() - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
hashCode() - Method in class org.tensorflow.proto.framework.CostGraphDef
hashCode() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node
hashCode() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
hashCode() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
hashCode() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile
hashCode() - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles
hashCode() - Method in class org.tensorflow.proto.framework.DebugOptions
hashCode() - Method in class org.tensorflow.proto.framework.DebugTensorWatch
hashCode() - Method in class org.tensorflow.proto.framework.DeviceAttributes
hashCode() - Method in class org.tensorflow.proto.framework.DeviceLocality
hashCode() - Method in class org.tensorflow.proto.framework.DeviceProperties
hashCode() - Method in class org.tensorflow.proto.framework.DeviceStepStats
hashCode() - Method in class org.tensorflow.proto.framework.DictValue
hashCode() - Method in class org.tensorflow.proto.framework.FullTypeDef
hashCode() - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
hashCode() - Method in class org.tensorflow.proto.framework.FunctionDef
hashCode() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary
hashCode() - Method in class org.tensorflow.proto.framework.FunctionSpec
hashCode() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental
hashCode() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
hashCode() - Method in class org.tensorflow.proto.framework.GPUOptions
hashCode() - Method in class org.tensorflow.proto.framework.GradientDef
hashCode() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
hashCode() - Method in class org.tensorflow.proto.framework.GraphDebugInfo
hashCode() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
hashCode() - Method in class org.tensorflow.proto.framework.GraphDef
hashCode() - Method in class org.tensorflow.proto.framework.GraphOptions
hashCode() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
hashCode() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
hashCode() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
hashCode() - Method in class org.tensorflow.proto.framework.GraphTransferInfo
hashCode() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
hashCode() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput
hashCode() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
hashCode() - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
hashCode() - Method in class org.tensorflow.proto.framework.HistogramProto
hashCode() - Method in class org.tensorflow.proto.framework.InterconnectLink
hashCode() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
hashCode() - Method in class org.tensorflow.proto.framework.KernelDef
hashCode() - Method in class org.tensorflow.proto.framework.KernelList
hashCode() - Method in class org.tensorflow.proto.framework.ListValue
hashCode() - Method in class org.tensorflow.proto.framework.LocalLinks
hashCode() - Method in class org.tensorflow.proto.framework.LogNormalDistribution
hashCode() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
hashCode() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
hashCode() - Method in class org.tensorflow.proto.framework.MemoryLogStep
hashCode() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
hashCode() - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
hashCode() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
hashCode() - Method in class org.tensorflow.proto.framework.MemoryStats
hashCode() - Method in class org.tensorflow.proto.framework.MetaGraphDef
hashCode() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
hashCode() - Method in class org.tensorflow.proto.framework.NameAttrList
hashCode() - Method in class org.tensorflow.proto.framework.NamedDevice
hashCode() - Method in class org.tensorflow.proto.framework.NamedTensorProto
hashCode() - Method in class org.tensorflow.proto.framework.NamedTupleValue
hashCode() - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
hashCode() - Method in class org.tensorflow.proto.framework.NodeDef
hashCode() - Method in class org.tensorflow.proto.framework.NodeExecStats
hashCode() - Method in class org.tensorflow.proto.framework.NodeOutput
hashCode() - Method in class org.tensorflow.proto.framework.NoneValue
hashCode() - Method in class org.tensorflow.proto.framework.NormalDistribution
hashCode() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef
hashCode() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef
hashCode() - Method in class org.tensorflow.proto.framework.OpDef
hashCode() - Method in class org.tensorflow.proto.framework.OpDeprecation
hashCode() - Method in class org.tensorflow.proto.framework.OpInfo
hashCode() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
hashCode() - Method in class org.tensorflow.proto.framework.OpList
hashCode() - Method in class org.tensorflow.proto.framework.OpPerformance
hashCode() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
hashCode() - Method in class org.tensorflow.proto.framework.OpPerformanceList
hashCode() - Method in class org.tensorflow.proto.framework.OptimizerOptions
hashCode() - Method in class org.tensorflow.proto.framework.PairValue
hashCode() - Method in class org.tensorflow.proto.framework.QueueRunnerDef
hashCode() - Method in class org.tensorflow.proto.framework.ReaderBaseState
hashCode() - Method in class org.tensorflow.proto.framework.RegisteredGradient
hashCode() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle
hashCode() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
hashCode() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
hashCode() - Method in class org.tensorflow.proto.framework.ResourceHandleProto
hashCode() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
hashCode() - Method in class org.tensorflow.proto.framework.RewriterConfig
hashCode() - Method in class org.tensorflow.proto.framework.RPCOptions
hashCode() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
hashCode() - Method in class org.tensorflow.proto.framework.RunMetadata
hashCode() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental
hashCode() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
hashCode() - Method in class org.tensorflow.proto.framework.RunOptions
hashCode() - Method in class org.tensorflow.proto.framework.SaveableObject
hashCode() - Method in class org.tensorflow.proto.framework.SavedAsset
hashCode() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
hashCode() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction
hashCode() - Method in class org.tensorflow.proto.framework.SavedConstant
hashCode() - Method in class org.tensorflow.proto.framework.SavedFunction
hashCode() - Method in class org.tensorflow.proto.framework.SavedModel
hashCode() - Method in class org.tensorflow.proto.framework.SavedObject
hashCode() - Method in class org.tensorflow.proto.framework.SavedObjectGraph
hashCode() - Method in class org.tensorflow.proto.framework.SavedResource
hashCode() - Method in class org.tensorflow.proto.framework.SavedUserObject
hashCode() - Method in class org.tensorflow.proto.framework.SavedVariable
hashCode() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef
hashCode() - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
hashCode() - Method in class org.tensorflow.proto.framework.SessionInfo
hashCode() - Method in class org.tensorflow.proto.framework.SessionMetadata
hashCode() - Method in class org.tensorflow.proto.framework.SignatureDef
hashCode() - Method in class org.tensorflow.proto.framework.Status.DerivedStatus
hashCode() - Method in class org.tensorflow.proto.framework.StepStats
hashCode() - Method in class org.tensorflow.proto.framework.StructuredValue
hashCode() - Method in class org.tensorflow.proto.framework.Summary.Audio
hashCode() - Method in class org.tensorflow.proto.framework.Summary
hashCode() - Method in class org.tensorflow.proto.framework.Summary.Image
hashCode() - Method in class org.tensorflow.proto.framework.Summary.Value
hashCode() - Method in class org.tensorflow.proto.framework.SummaryDescription
hashCode() - Method in class org.tensorflow.proto.framework.SummaryMetadata
hashCode() - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
hashCode() - Method in class org.tensorflow.proto.framework.TensorConnection
hashCode() - Method in class org.tensorflow.proto.framework.TensorDescription
hashCode() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
hashCode() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
hashCode() - Method in class org.tensorflow.proto.framework.TensorInfo
hashCode() - Method in class org.tensorflow.proto.framework.TensorProto
hashCode() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
hashCode() - Method in class org.tensorflow.proto.framework.TensorShapeProto
hashCode() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
hashCode() - Method in class org.tensorflow.proto.framework.TensorSliceProto
hashCode() - Method in class org.tensorflow.proto.framework.TensorSpecProto
hashCode() - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
hashCode() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph
hashCode() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
hashCode() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
hashCode() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
hashCode() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
hashCode() - Method in class org.tensorflow.proto.framework.TupleValue
hashCode() - Method in class org.tensorflow.proto.framework.TypeSpecProto
hashCode() - Method in class org.tensorflow.proto.framework.ValuesDef
hashCode() - Method in class org.tensorflow.proto.framework.VariableDef
hashCode() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto
hashCode() - Method in class org.tensorflow.proto.framework.VerifierConfig
hashCode() - Method in class org.tensorflow.proto.framework.VersionDef
hashCode() - Method in class org.tensorflow.proto.framework.WhileContextDef
hashCode() - Method in class org.tensorflow.proto.profiler.ProfileOptions
hashCode() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
hashCode() - Method in class org.tensorflow.proto.profiler.XEvent
hashCode() - Method in class org.tensorflow.proto.profiler.XEventMetadata
hashCode() - Method in class org.tensorflow.proto.profiler.XLine
hashCode() - Method in class org.tensorflow.proto.profiler.XPlane
hashCode() - Method in class org.tensorflow.proto.profiler.XSpace
hashCode() - Method in class org.tensorflow.proto.profiler.XStat
hashCode() - Method in class org.tensorflow.proto.profiler.XStatMetadata
hashCode() - Method in class org.tensorflow.proto.util.BinSummary
hashCode() - Method in class org.tensorflow.proto.util.BundleEntryProto
hashCode() - Method in class org.tensorflow.proto.util.BundleHeaderProto
hashCode() - Method in class org.tensorflow.proto.util.CodeLocation
hashCode() - Method in class org.tensorflow.proto.util.DebugEvent
hashCode() - Method in class org.tensorflow.proto.util.DebuggedDevice
hashCode() - Method in class org.tensorflow.proto.util.DebuggedGraph
hashCode() - Method in class org.tensorflow.proto.util.DebugMetadata
hashCode() - Method in class org.tensorflow.proto.util.Event
hashCode() - Method in class org.tensorflow.proto.util.Execution
hashCode() - Method in class org.tensorflow.proto.util.GraphExecutionTrace
hashCode() - Method in class org.tensorflow.proto.util.GraphOpCreation
hashCode() - Method in class org.tensorflow.proto.util.LogMessage: Deprecated.
hashCode() - Method in class org.tensorflow.proto.util.MemAllocatorStats
hashCode() - Method in class org.tensorflow.proto.util.MemChunk
hashCode() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
hashCode() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
hashCode() - Method in class org.tensorflow.proto.util.MemoryDump
hashCode() - Method in class org.tensorflow.proto.util.RequestedExitCode
hashCode() - Method in class org.tensorflow.proto.util.SavedSlice
hashCode() - Method in class org.tensorflow.proto.util.SavedSliceMeta
hashCode() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta
hashCode() - Method in class org.tensorflow.proto.util.SavedTensorSlices
hashCode() - Method in class org.tensorflow.proto.util.SaverDef
hashCode() - Method in class org.tensorflow.proto.util.SessionLog
hashCode() - Method in class org.tensorflow.proto.util.SnapShot
hashCode() - Method in class org.tensorflow.proto.util.SourceFile
hashCode() - Method in class org.tensorflow.proto.util.StackFrameWithId
hashCode() - Method in class org.tensorflow.proto.util.TaggedRunMetadata
hashCode() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
hashCode() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
hashCode() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
hashCode() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration
hashCode() - Method in class org.tensorflow.proto.util.testlog.CommitId
hashCode() - Method in class org.tensorflow.proto.util.testlog.CPUInfo
hashCode() - Method in class org.tensorflow.proto.util.testlog.EntryValue
hashCode() - Method in class org.tensorflow.proto.util.testlog.GPUInfo
hashCode() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration
hashCode() - Method in class org.tensorflow.proto.util.testlog.MemoryInfo
hashCode() - Method in class org.tensorflow.proto.util.testlog.MetricEntry
hashCode() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo
hashCode() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration
hashCode() - Method in class org.tensorflow.proto.util.testlog.TestResults
hashCode() - Method in class org.tensorflow.proto.util.WatchdogConfig
hashCode() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
hashCode() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
hashedOutput - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The hashedOutput attribute
hasHisto() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.HistogramProto histo = 5;
hasHisto() - Method in class org.tensorflow.proto.framework.Summary.Value: .tensorflow.HistogramProto histo = 5;
hasHisto() - Method in interface org.tensorflow.proto.framework.Summary.ValueOrBuilder: .tensorflow.HistogramProto histo = 5;
hashKey - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The hashKey attribute
HashTable - Class in org.tensorflow.op.core: Creates a non-initialized hash table.
HashTable(Operation) - Constructor for class org.tensorflow.op.core.HashTable
hashTable(Class<T>, Class, HashTable.Options...) - Method in class org.tensorflow.op.Ops: Creates a non-initialized hash table.
HashTable.Inputs - Class in org.tensorflow.op.core
HashTable.Options - Class in org.tensorflow.op.core: Optional attributes for HashTable
hashValid(Boolean) - Static method in class org.tensorflow.op.data.SnapshotDataset: Sets the hashValid option.
hashValid - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The hashValid attribute
hashValid(Boolean) - Method in class org.tensorflow.op.data.SnapshotDataset.Options: Sets the hashValid option.
hasImage() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.Summary.Image image = 4;
hasImage() - Method in class org.tensorflow.proto.framework.Summary.Value: .tensorflow.Summary.Image image = 4;
hasImage() - Method in interface org.tensorflow.proto.framework.Summary.ValueOrBuilder: .tensorflow.Summary.Image image = 4;
hasInitializers() - Method in class org.tensorflow.Graph: Get whether the graph has any initializers
hasInputSignature() - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder: The input signature, if specified.
hasInputSignature() - Method in class org.tensorflow.proto.framework.FunctionSpec: The input signature, if specified.
hasInputSignature() - Method in interface org.tensorflow.proto.framework.FunctionSpecOrBuilder: The input signature, if specified.
hasInt64List() - Method in class org.tensorflow.proto.example.Feature.Builder: .tensorflow.Int64List int64_list = 3;
hasInt64List() - Method in class org.tensorflow.proto.example.Feature: .tensorflow.Int64List int64_list = 3;
hasInt64List() - Method in interface org.tensorflow.proto.example.FeatureOrBuilder: .tensorflow.Int64List int64_list = 3;
hasInt64List() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.Int64List int64_list = 3;
hasInt64List() - Method in class org.tensorflow.proto.framework.CollectionDef: .tensorflow.CollectionDef.Int64List int64_list = 3;
hasInt64List() - Method in interface org.tensorflow.proto.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.Int64List int64_list = 3;
hasInterOptimizerVerifierConfig() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run after every optimizer.
hasInterOptimizerVerifierConfig() - Method in class org.tensorflow.proto.framework.RewriterConfig: VerifierConfig specifying the verifiers to be run after every optimizer.
hasInterOptimizerVerifierConfig() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: VerifierConfig specifying the verifiers to be run after every optimizer.
hasKey() - Method in class org.tensorflow.op.core.TensorMapHasKey: Gets hasKey.
hasKnownShape - Variable in class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient.Inputs: Boolean indicating whether gradient_shape is unknown, in which case the input is ignored during validation.
hasLibrary() - Method in class org.tensorflow.proto.framework.GraphDef.Builder: "library" provides user-defined functions.
hasLibrary() - Method in class org.tensorflow.proto.framework.GraphDef: "library" provides user-defined functions.
hasLibrary() - Method in interface org.tensorflow.proto.framework.GraphDefOrBuilder: "library" provides user-defined functions.
hasLinks() - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder: Optional local interconnect links to other devices.
hasLinks() - Method in class org.tensorflow.proto.framework.DeviceLocality: Optional local interconnect links to other devices.
hasLinks() - Method in interface org.tensorflow.proto.framework.DeviceLocalityOrBuilder: Optional local interconnect links to other devices.
hasList() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: any "list(...)"
hasList() - Method in class org.tensorflow.proto.framework.AttrValue: any "list(...)"
hasList() - Method in interface org.tensorflow.proto.framework.AttrValueOrBuilder: any "list(...)"
hasListValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a list of `Value`.
hasListValue() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents a list of `Value`.
hasListValue() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents a list of `Value`.
hasLocality() - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: Platform-specific data about device that may be useful for supporting efficient data transfers.
hasLocality() - Method in class org.tensorflow.proto.framework.DeviceAttributes: Platform-specific data about device that may be useful for supporting efficient data transfers.
hasLocality() - Method in interface org.tensorflow.proto.framework.DeviceAttributesOrBuilder: Platform-specific data about device that may be useful for supporting efficient data transfers.
hasLogMessage() - Method in class org.tensorflow.proto.util.Event.Builder: Deprecated.
hasLogMessage() - Method in class org.tensorflow.proto.util.Event: Deprecated.
hasLogMessage() - Method in interface org.tensorflow.proto.util.EventOrBuilder: Deprecated.
hasMachineConfiguration() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: Machine-specific parameters (Platform and CPU info)
hasMachineConfiguration() - Method in class org.tensorflow.proto.util.testlog.TestResults: Machine-specific parameters (Platform and CPU info)
hasMachineConfiguration() - Method in interface org.tensorflow.proto.util.testlog.TestResultsOrBuilder: Machine-specific parameters (Platform and CPU info)
hasMaximum() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto maximum = 5;
hasMaximum() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto: .tensorflow.TensorProto maximum = 5;
hasMaximum() - Method in interface org.tensorflow.proto.framework.BoundedTensorSpecProtoOrBuilder: .tensorflow.TensorProto maximum = 5;
hasMaxValue() - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder: The maximum acceptable value for the metric if specified
hasMaxValue() - Method in class org.tensorflow.proto.util.testlog.MetricEntry: The maximum acceptable value for the metric if specified
hasMaxValue() - Method in interface org.tensorflow.proto.util.testlog.MetricEntryOrBuilder: The maximum acceptable value for the metric if specified
hasMemoryInfo() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: .tensorflow.MemoryInfo memory_info = 6;
hasMemoryInfo() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration: .tensorflow.MemoryInfo memory_info = 6;
hasMemoryInfo() - Method in interface org.tensorflow.proto.util.testlog.MachineConfigurationOrBuilder: .tensorflow.MemoryInfo memory_info = 6;
hasMemoryStats() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: .tensorflow.MemoryStats memory_stats = 12;
hasMemoryStats() - Method in class org.tensorflow.proto.framework.NodeExecStats: .tensorflow.MemoryStats memory_stats = 12;
hasMemoryStats() - Method in interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder: .tensorflow.MemoryStats memory_stats = 12;
hasMeta() - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder: This is only present at the first item of each checkpoint file and serves as a table of contents, listing all the tensor slices saved in this file.
hasMeta() - Method in class org.tensorflow.proto.util.SavedTensorSlices: This is only present at the first item of each checkpoint file and serves as a table of contents, listing all the tensor slices saved in this file.
hasMeta() - Method in interface org.tensorflow.proto.util.SavedTensorSlicesOrBuilder: This is only present at the first item of each checkpoint file and serves as a table of contents, listing all the tensor slices saved in this file.
hasMetadata() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: Contains metadata on the summary value such as which plugins may use it.
hasMetadata() - Method in class org.tensorflow.proto.framework.Summary.Value: Contains metadata on the summary value such as which plugins may use it.
hasMetadata() - Method in interface org.tensorflow.proto.framework.Summary.ValueOrBuilder: Contains metadata on the summary value such as which plugins may use it.
hasMetaInfoDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
hasMetaInfoDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
hasMetaInfoDef() - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
hasMinimum() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto minimum = 4;
hasMinimum() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto: .tensorflow.TensorProto minimum = 4;
hasMinimum() - Method in interface org.tensorflow.proto.framework.BoundedTensorSpecProtoOrBuilder: .tensorflow.TensorProto minimum = 4;
hasMinValue() - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder: The minimum acceptable value for the metric if specified
hasMinValue() - Method in class org.tensorflow.proto.util.testlog.MetricEntry: The minimum acceptable value for the metric if specified
hasMinValue() - Method in interface org.tensorflow.proto.util.testlog.MetricEntryOrBuilder: The minimum acceptable value for the metric if specified
hasNamedTupleValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents Python's namedtuple.
hasNamedTupleValue() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents Python's namedtuple.
hasNamedTupleValue() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents Python's namedtuple.
hasNodeList() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.NodeList node_list = 1;
hasNodeList() - Method in class org.tensorflow.proto.framework.CollectionDef: .tensorflow.CollectionDef.NodeList node_list = 1;
hasNodeList() - Method in interface org.tensorflow.proto.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.NodeList node_list = 1;
hasNoneValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents None.
hasNoneValue() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents None.
hasNoneValue() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents None.
hasObjectGraphDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Extra information about the structure of functions and stateful objects.
hasObjectGraphDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef: Extra information about the structure of functions and stateful objects.
hasObjectGraphDef() - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: Extra information about the structure of functions and stateful objects.
hasOp() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: The op
hasOp() - Method in class org.tensorflow.proto.framework.OpPerformance: The op
hasOp() - Method in interface org.tensorflow.proto.framework.OpPerformanceOrBuilder: The op
hasOpMemory() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: .tensorflow.OpPerformance.OpMemory op_memory = 9;
hasOpMemory() - Method in class org.tensorflow.proto.framework.OpPerformance: .tensorflow.OpPerformance.OpMemory op_memory = 9;
hasOpMemory() - Method in interface org.tensorflow.proto.framework.OpPerformanceOrBuilder: .tensorflow.OpPerformance.OpMemory op_memory = 9;
hasOptimizationOptions() - Method in class org.tensorflow.proto.data.Options.Builder: The optimization options associated with the dataset.
hasOptimizationOptions() - Method in class org.tensorflow.proto.data.Options: The optimization options associated with the dataset.
hasOptimizationOptions() - Method in interface org.tensorflow.proto.data.OptionsOrBuilder: The optimization options associated with the dataset.
hasOptimizationParams() - Method in class org.tensorflow.proto.data.model.ModelProto.Builder: .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
hasOptimizationParams() - Method in class org.tensorflow.proto.data.model.ModelProto: .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
hasOptimizationParams() - Method in interface org.tensorflow.proto.data.model.ModelProtoOrBuilder: .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
hasOptimizerOptions() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: Options controlling how graph is optimized.
hasOptimizerOptions() - Method in class org.tensorflow.proto.framework.GraphOptions: Options controlling how graph is optimized.
hasOptimizerOptions() - Method in interface org.tensorflow.proto.framework.GraphOptionsOrBuilder: Options controlling how graph is optimized.
hasOutputSignature() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder: Output that was the return value of this function after replacing all Tensors with TensorSpecs.
hasOutputSignature() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction: Output that was the return value of this function after replacing all Tensors with TensorSpecs.
hasOutputSignature() - Method in interface org.tensorflow.proto.framework.SavedConcreteFunctionOrBuilder: Output that was the return value of this function after replacing all Tensors with TensorSpecs.
hasPlatformInfo() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Additional platform information.
hasPlatformInfo() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration: Additional platform information.
hasPlatformInfo() - Method in interface org.tensorflow.proto.util.testlog.MachineConfigurationOrBuilder: Additional platform information.
hasPluginData() - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder: Data that associates a summary with a certain plugin.
hasPluginData() - Method in class org.tensorflow.proto.framework.SummaryMetadata: Data that associates a summary with a certain plugin.
hasPluginData() - Method in interface org.tensorflow.proto.framework.SummaryMetadataOrBuilder: Data that associates a summary with a certain plugin.
hasPostOptimizationGraph() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef post_optimization_graph = 3;
hasPostOptimizationGraph() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs: .tensorflow.GraphDef post_optimization_graph = 3;
hasPostOptimizationGraph() - Method in interface org.tensorflow.proto.framework.RunMetadata.FunctionGraphsOrBuilder: .tensorflow.GraphDef post_optimization_graph = 3;
hasPostOptimizationVerifierConfig() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
hasPostOptimizationVerifierConfig() - Method in class org.tensorflow.proto.framework.RewriterConfig: VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
hasPostOptimizationVerifierConfig() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
hasPreOptimizationGraph() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef pre_optimization_graph = 2;
hasPreOptimizationGraph() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs: .tensorflow.GraphDef pre_optimization_graph = 2;
hasPreOptimizationGraph() - Method in interface org.tensorflow.proto.framework.RunMetadata.FunctionGraphsOrBuilder: .tensorflow.GraphDef pre_optimization_graph = 2;
hasProfilerOptions() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder: Options for each local profiler.
hasProfilerOptions() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions: Options for each local profiler.
hasProfilerOptions() - Method in interface org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptionsOrBuilder: Options for each local profiler.
hasProperties() - Method in class org.tensorflow.proto.framework.NamedDevice.Builder: .tensorflow.DeviceProperties properties = 2;
hasProperties() - Method in class org.tensorflow.proto.framework.NamedDevice: .tensorflow.DeviceProperties properties = 2;
hasProperties() - Method in interface org.tensorflow.proto.framework.NamedDeviceOrBuilder: .tensorflow.DeviceProperties properties = 2;
hasResource() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedResource resource = 10;
hasResource() - Method in class org.tensorflow.proto.framework.SavedObject: .tensorflow.SavedResource resource = 10;
hasResource() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: .tensorflow.SavedResource resource = 10;
hasRewriteOptions() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: Options that control the type and amount of graph rewriting.
hasRewriteOptions() - Method in class org.tensorflow.proto.framework.GraphOptions: Options that control the type and amount of graph rewriting.
hasRewriteOptions() - Method in interface org.tensorflow.proto.framework.GraphOptionsOrBuilder: Options that control the type and amount of graph rewriting.
hasRpcOptions() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Options that apply when this session uses the distributed runtime.
hasRpcOptions() - Method in class org.tensorflow.proto.framework.ConfigProto: Options that apply when this session uses the distributed runtime.
hasRpcOptions() - Method in interface org.tensorflow.proto.framework.ConfigProtoOrBuilder: Options that apply when this session uses the distributed runtime.
hasRunConfiguration() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: Run-specific parameters (arguments, etc)
hasRunConfiguration() - Method in class org.tensorflow.proto.util.testlog.TestResults: Run-specific parameters (arguments, etc)
hasRunConfiguration() - Method in interface org.tensorflow.proto.util.testlog.TestResultsOrBuilder: Run-specific parameters (arguments, etc)
hasRunHandlerPoolOptions() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder: .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
hasRunHandlerPoolOptions() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental: .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
hasRunHandlerPoolOptions() - Method in interface org.tensorflow.proto.framework.RunOptions.ExperimentalOrBuilder: .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
hasRunOptions() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Options that will be applied to each run.
hasRunOptions() - Method in class org.tensorflow.proto.framework.CallableOptions: Options that will be applied to each run.
hasRunOptions() - Method in interface org.tensorflow.proto.framework.CallableOptionsOrBuilder: Options that will be applied to each run.
hasSaverDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: SaverDef.
hasSaverDef() - Method in class org.tensorflow.proto.framework.MetaGraphDef: SaverDef.
hasSaverDef() - Method in interface org.tensorflow.proto.framework.MetaGraphDefOrBuilder: SaverDef.
hasSaveSliceInfoDef() - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Support for saving variables as slices of a larger variable.
hasSaveSliceInfoDef() - Method in class org.tensorflow.proto.framework.VariableDef: Support for saving variables as slices of a larger variable.
hasSaveSliceInfoDef() - Method in interface org.tensorflow.proto.framework.VariableDefOrBuilder: Support for saving variables as slices of a larger variable.
hasScopedAllocatorOpts() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
hasScopedAllocatorOpts() - Method in class org.tensorflow.proto.framework.RewriterConfig: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
hasScopedAllocatorOpts() - Method in interface org.tensorflow.proto.framework.RewriterConfigOrBuilder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
hasSerializedUserProto() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: The user-generated proto storing metadata for this object, to be passed to the registered classes's _deserialize_from_proto method when this object is loaded from the SavedModel.
hasSerializedUserProto() - Method in class org.tensorflow.proto.framework.SavedObject: The user-generated proto storing metadata for this object, to be passed to the registered classes's _deserialize_from_proto method when this object is loaded from the SavedModel.
hasSerializedUserProto() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: The user-generated proto storing metadata for this object, to be passed to the registered classes's _deserialize_from_proto method when this object is loaded from the SavedModel.
hasSessionInfo() - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Information about the session configs.
hasSessionInfo() - Method in class org.tensorflow.proto.framework.OpInfo: Information about the session configs.
hasSessionInfo() - Method in interface org.tensorflow.proto.framework.OpInfoOrBuilder: Information about the session configs.
hasSessionInfo() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: Deprecated.
hasSessionInfo() - Method in class org.tensorflow.proto.framework.OpPerformance: Deprecated.
hasSessionInfo() - Method in interface org.tensorflow.proto.framework.OpPerformanceOrBuilder: Deprecated.
hasSessionLog() - Method in class org.tensorflow.proto.util.Event.Builder: The state of the session which can be used for restarting after crashes.
hasSessionLog() - Method in class org.tensorflow.proto.util.Event: The state of the session which can be used for restarting after crashes.
hasSessionLog() - Method in interface org.tensorflow.proto.util.EventOrBuilder: The state of the session which can be used for restarting after crashes.
hasSessionMetadata() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Metadata about the session.
hasSessionMetadata() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental: Metadata about the session.
hasSessionMetadata() - Method in interface org.tensorflow.proto.framework.ConfigProto.ExperimentalOrBuilder: Metadata about the session.
hasShape() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in interface org.tensorflow.proto.example.FixedLenFeatureProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "shape"
hasShape() - Method in class org.tensorflow.proto.framework.AttrValue: "shape"
hasShape() - Method in interface org.tensorflow.proto.framework.AttrValueOrBuilder: "shape"
hasShape() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in interface org.tensorflow.proto.framework.BoundedTensorSpecProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.TensorShapeProto shape = 3;
hasShape() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo: .tensorflow.TensorShapeProto shape = 3;
hasShape() - Method in interface org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfoOrBuilder: .tensorflow.TensorShapeProto shape = 3;
hasShape() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in interface org.tensorflow.proto.framework.OpInfo.TensorPropertiesOrBuilder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in interface org.tensorflow.proto.framework.ResourceDtypeAndShapeOrBuilder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in interface org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShapeOrBuilder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.framework.SavedVariable: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in interface org.tensorflow.proto.framework.SavedVariableOrBuilder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.framework.TensorDescription.Builder: Shape of the tensor.
hasShape() - Method in class org.tensorflow.proto.framework.TensorDescription: Shape of the tensor.
hasShape() - Method in interface org.tensorflow.proto.framework.TensorDescriptionOrBuilder: Shape of the tensor.
hasShape() - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.framework.TensorSpecProto: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in interface org.tensorflow.proto.framework.TensorSpecProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.util.BundleEntryProto: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in interface org.tensorflow.proto.util.BundleEntryProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Shape of the tensor
hasShape() - Method in class org.tensorflow.proto.util.SavedSliceMeta: Shape of the tensor
hasShape() - Method in interface org.tensorflow.proto.util.SavedSliceMetaOrBuilder: Shape of the tensor
hasSignature() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: The definition of the function's name, arguments, return values, attrs etc.
hasSignature() - Method in class org.tensorflow.proto.framework.FunctionDef: The definition of the function's name, arguments, return values, attrs etc.
hasSignature() - Method in interface org.tensorflow.proto.framework.FunctionDefOrBuilder: The definition of the function's name, arguments, return values, attrs etc.
hasSlice() - Method in class org.tensorflow.proto.util.SavedSlice.Builder: Extent of the slice.
hasSlice() - Method in class org.tensorflow.proto.util.SavedSlice: Extent of the slice.
hasSlice() - Method in interface org.tensorflow.proto.util.SavedSliceOrBuilder: Extent of the slice.
hasSourceFile() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: The content of a source file.
hasSourceFile() - Method in class org.tensorflow.proto.util.DebugEvent: The content of a source file.
hasSourceFile() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder: The content of a source file.
hasStackFrameWithId() - Method in class org.tensorflow.proto.util.DebugEvent.Builder: A stack frame (filename, line number and column number, function name and code string) with ID.
hasStackFrameWithId() - Method in class org.tensorflow.proto.util.DebugEvent: A stack frame (filename, line number and column number, function name and code string) with ID.
hasStackFrameWithId() - Method in interface org.tensorflow.proto.util.DebugEventOrBuilder: A stack frame (filename, line number and column number, function name and code string) with ID.
hasStats() - Method in class org.tensorflow.proto.util.MemoryDump.Builder: .tensorflow.MemAllocatorStats stats = 5;
hasStats() - Method in class org.tensorflow.proto.util.MemoryDump: .tensorflow.MemAllocatorStats stats = 5;
hasStats() - Method in interface org.tensorflow.proto.util.MemoryDumpOrBuilder: .tensorflow.MemAllocatorStats stats = 5;
hasStepStats() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: Statistics traced for this step.
hasStepStats() - Method in class org.tensorflow.proto.framework.RunMetadata: Statistics traced for this step.
hasStepStats() - Method in interface org.tensorflow.proto.framework.RunMetadataOrBuilder: Statistics traced for this step.
hasStrippedOpList() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: A copy of the OpDefs used by the producer of this graph_def.
hasStrippedOpList() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef: A copy of the OpDefs used by the producer of this graph_def.
hasStrippedOpList() - Method in interface org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDefOrBuilder: A copy of the OpDefs used by the producer of this graph_def.
hasSummary() - Method in class org.tensorflow.proto.util.Event.Builder: A summary was generated.
hasSummary() - Method in class org.tensorflow.proto.util.Event: A summary was generated.
hasSummary() - Method in interface org.tensorflow.proto.util.EventOrBuilder: A summary was generated.
hasTaggedRunMetadata() - Method in class org.tensorflow.proto.util.Event.Builder: The metadata returned by running a session.run() call.
hasTaggedRunMetadata() - Method in class org.tensorflow.proto.util.Event: The metadata returned by running a session.run() call.
hasTaggedRunMetadata() - Method in interface org.tensorflow.proto.util.EventOrBuilder: The metadata returned by running a session.run() call.
hasTensor() - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "tensor"
hasTensor() - Method in class org.tensorflow.proto.framework.AttrValue: "tensor"
hasTensor() - Method in interface org.tensorflow.proto.framework.AttrValueOrBuilder: "tensor"
hasTensor() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder: Allocated tensor details.
hasTensor() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation: Allocated tensor details.
hasTensor() - Method in interface org.tensorflow.proto.framework.MemoryLogTensorAllocationOrBuilder: Allocated tensor details.
hasTensor() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder: Output tensor details.
hasTensor() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput: Output tensor details.
hasTensor() - Method in interface org.tensorflow.proto.framework.MemoryLogTensorOutputOrBuilder: Output tensor details.
hasTensor() - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
hasTensor() - Method in class org.tensorflow.proto.framework.NamedTensorProto: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
hasTensor() - Method in interface org.tensorflow.proto.framework.NamedTensorProtoOrBuilder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
hasTensor() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.TensorProto tensor = 8;
hasTensor() - Method in class org.tensorflow.proto.framework.Summary.Value: .tensorflow.TensorProto tensor = 8;
hasTensor() - Method in interface org.tensorflow.proto.framework.Summary.ValueOrBuilder: .tensorflow.TensorProto tensor = 8;
hasTensorDescription() - Method in class org.tensorflow.proto.framework.NodeOutput.Builder: .tensorflow.TensorDescription tensor_description = 3;
hasTensorDescription() - Method in class org.tensorflow.proto.framework.NodeOutput: .tensorflow.TensorDescription tensor_description = 3;
hasTensorDescription() - Method in interface org.tensorflow.proto.framework.NodeOutputOrBuilder: .tensorflow.TensorDescription tensor_description = 3;
hasTensorInfo() - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder: The tensor to bind the asset filename to.
hasTensorInfo() - Method in class org.tensorflow.proto.framework.AssetFileDef: The tensor to bind the asset filename to.
hasTensorInfo() - Method in interface org.tensorflow.proto.framework.AssetFileDefOrBuilder: The tensor to bind the asset filename to.
hasTensorProto() - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Tensor value in the type described by `tensor_value_type`.
hasTensorProto() - Method in class org.tensorflow.proto.util.GraphExecutionTrace: Tensor value in the type described by `tensor_value_type`.
hasTensorProto() - Method in interface org.tensorflow.proto.util.GraphExecutionTraceOrBuilder: Tensor value in the type described by `tensor_value_type`.
hasTensorShape() - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder: .tensorflow.TensorShapeProto tensor_shape = 2;
hasTensorShape() - Method in class org.tensorflow.proto.data.experimental.TensorMetadata: .tensorflow.TensorShapeProto tensor_shape = 2;
hasTensorShape() - Method in interface org.tensorflow.proto.data.experimental.TensorMetadataOrBuilder: .tensorflow.TensorShapeProto tensor_shape = 2;
hasTensorShape() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: The static shape should be recorded here, to the extent that it can be known in advance.
hasTensorShape() - Method in class org.tensorflow.proto.framework.TensorInfo: The static shape should be recorded here, to the extent that it can be known in advance.
hasTensorShape() - Method in interface org.tensorflow.proto.framework.TensorInfoOrBuilder: The static shape should be recorded here, to the extent that it can be known in advance.
hasTensorShape() - Method in class org.tensorflow.proto.framework.TensorProto.Builder: Shape of the tensor.
hasTensorShape() - Method in class org.tensorflow.proto.framework.TensorProto: Shape of the tensor.
hasTensorShape() - Method in interface org.tensorflow.proto.framework.TensorProtoOrBuilder: Shape of the tensor.
hasTensorShapeValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a TensorShape.
hasTensorShapeValue() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents a TensorShape.
hasTensorShapeValue() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents a TensorShape.
hasTensorSpecValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a value for tf.TensorSpec.
hasTensorSpecValue() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents a value for tf.TensorSpec.
hasTensorSpecValue() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents a value for tf.TensorSpec.
hasThreadingOptions() - Method in class org.tensorflow.proto.data.Options.Builder: The threading options associated with the dataset.
hasThreadingOptions() - Method in class org.tensorflow.proto.data.Options: The threading options associated with the dataset.
hasThreadingOptions() - Method in interface org.tensorflow.proto.data.OptionsOrBuilder: The threading options associated with the dataset.
hasTupleValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a tuple of `Value`.
hasTupleValue() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents a tuple of `Value`.
hasTupleValue() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents a tuple of `Value`.
hasTypeSpec() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder: The serialized TypeSpec for the composite tensor.
hasTypeSpec() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor: The serialized TypeSpec for the composite tensor.
hasTypeSpec() - Method in interface org.tensorflow.proto.framework.TensorInfo.CompositeTensorOrBuilder: The serialized TypeSpec for the composite tensor.
hasTypeSpecProto() - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder: .tensorflow.TypeSpecProto type_spec_proto = 1;
hasTypeSpecProto() - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata: .tensorflow.TypeSpecProto type_spec_proto = 1;
hasTypeSpecProto() - Method in interface org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadataOrBuilder: .tensorflow.TypeSpecProto type_spec_proto = 1;
hasTypeSpecValue() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a value for tf.TypeSpec.
hasTypeSpecValue() - Method in class org.tensorflow.proto.framework.StructuredValue: Represents a value for tf.TypeSpec.
hasTypeSpecValue() - Method in interface org.tensorflow.proto.framework.StructuredValueOrBuilder: Represents a value for tf.TypeSpec.
hasTypeState() - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder: The value returned by TypeSpec._serialize().
hasTypeState() - Method in class org.tensorflow.proto.framework.TypeSpecProto: The value returned by TypeSpec._serialize().
hasTypeState() - Method in interface org.tensorflow.proto.framework.TypeSpecProtoOrBuilder: The value returned by TypeSpec._serialize().
hasUserObject() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedUserObject user_object = 4;
hasUserObject() - Method in class org.tensorflow.proto.framework.SavedObject: .tensorflow.SavedUserObject user_object = 4;
hasUserObject() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: .tensorflow.SavedUserObject user_object = 4;
hasValue() - Method in class org.tensorflow.op.data.OptionalHasValue: Gets hasValue.
hasValue() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder: .tensorflow.TensorProto value = 3;
hasValue() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties: .tensorflow.TensorProto value = 3;
hasValue() - Method in interface org.tensorflow.proto.framework.OpInfo.TensorPropertiesOrBuilder: .tensorflow.TensorProto value = 3;
hasValue() - Method in class org.tensorflow.proto.framework.PairValue.Builder: .tensorflow.StructuredValue value = 2;
hasValue() - Method in class org.tensorflow.proto.framework.PairValue: .tensorflow.StructuredValue value = 2;
hasValue() - Method in interface org.tensorflow.proto.framework.PairValueOrBuilder: .tensorflow.StructuredValue value = 2;
hasValuesDef() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Values and external values in control flow context.
hasValuesDef() - Method in class org.tensorflow.proto.framework.CondContextDef: Values and external values in control flow context.
hasValuesDef() - Method in interface org.tensorflow.proto.framework.CondContextDefOrBuilder: Values and external values in control flow context.
hasValuesDef() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Values and external values in control flow context.
hasValuesDef() - Method in class org.tensorflow.proto.framework.WhileContextDef: Values and external values in control flow context.
hasValuesDef() - Method in interface org.tensorflow.proto.framework.WhileContextDefOrBuilder: Values and external values in control flow context.
hasVariable() - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedVariable variable = 7;
hasVariable() - Method in class org.tensorflow.proto.framework.SavedObject: .tensorflow.SavedVariable variable = 7;
hasVariable() - Method in interface org.tensorflow.proto.framework.SavedObjectOrBuilder: .tensorflow.SavedVariable variable = 7;
hasVarLenFeature() - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
hasVarLenFeature() - Method in class org.tensorflow.proto.example.FeatureConfiguration: .tensorflow.VarLenFeatureProto var_len_feature = 2;
hasVarLenFeature() - Method in interface org.tensorflow.proto.example.FeatureConfigurationOrBuilder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
hasVersion() - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder: Version information from the producer of this SavedUserObject.
hasVersion() - Method in class org.tensorflow.proto.framework.SavedUserObject: Version information from the producer of this SavedUserObject.
hasVersion() - Method in interface org.tensorflow.proto.framework.SavedUserObjectOrBuilder: Version information from the producer of this SavedUserObject.
hasVersion() - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder: Versioning of the tensor bundle format.
hasVersion() - Method in class org.tensorflow.proto.util.BundleHeaderProto: Versioning of the tensor bundle format.
hasVersion() - Method in interface org.tensorflow.proto.util.BundleHeaderProtoOrBuilder: Versioning of the tensor bundle format.
hasVersions() - Method in class org.tensorflow.proto.framework.GraphDef.Builder: Compatibility versions of the graph.
hasVersions() - Method in class org.tensorflow.proto.framework.GraphDef: Compatibility versions of the graph.
hasVersions() - Method in interface org.tensorflow.proto.framework.GraphDefOrBuilder: Compatibility versions of the graph.
hasVersions() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder: Compatibility version of this checkpoint.
hasVersions() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta: Compatibility version of this checkpoint.
hasVersions() - Method in interface org.tensorflow.proto.util.SavedTensorSliceMetaOrBuilder: Compatibility version of this checkpoint.
hasWatchdogConfig() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder: .tensorflow.WatchdogConfig watchdog_config = 2;
hasWatchdogConfig() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest: .tensorflow.WatchdogConfig watchdog_config = 2;
hasWatchdogConfig() - Method in interface org.tensorflow.proto.util.WorkerHeartbeatRequestOrBuilder: .tensorflow.WatchdogConfig watchdog_config = 2;
hasWhileCtxt() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder: .tensorflow.WhileContextDef while_ctxt = 2;
hasWhileCtxt() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef: .tensorflow.WhileContextDef while_ctxt = 2;
hasWhileCtxt() - Method in interface org.tensorflow.proto.framework.ControlFlowContextDefOrBuilder: .tensorflow.WhileContextDef while_ctxt = 2;
head(Scope, Shape<TInt32>) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional Operand containing the Shape's first dimension.
head(Scope, Shape, Class) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional Operand containing the Shape's first dimension.
head(Shape<TInt32>) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional Operand containing the Shape's first dimension.
head(Shape, Class) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional Operand containing the Shape's first dimension.
header - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The header input
header - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The header input
headerBytes - Variable in class org.tensorflow.op.data.FixedLengthRecordDataset.Inputs: The headerBytes input
headerBytes(Long) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader: Sets the headerBytes option.
headerBytes - Variable in class org.tensorflow.op.io.FixedLengthRecordReader.Inputs: Number of bytes in the header, defaults to 0.
headerBytes(Long) - Method in class org.tensorflow.op.io.FixedLengthRecordReader.Options: Sets the headerBytes option.
HEALTH_STATUS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.WorkerHeartbeatResponse
HEARTBEAT_INTERVAL_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
HEIGHT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.Summary.Image
Helpers - Class in org.tensorflow.op.core: Container class for core methods which add or perform several operations and return one of them.
hessians - Variable in class org.tensorflow.op.estimator.BoostedTreesAggregateStats.Inputs: float32; Rank 2 Tensor (shape=[batch_size, hessian_dimension]) with hessians for each example.
hessians - Variable in class org.tensorflow.op.estimator.BoostedTreesMakeStatsSummary.Inputs: float32; Rank 2 Tensor (shape=[#examples, 1]) for hessians.
hessians - Variable in class org.tensorflow.op.estimator.BoostedTreesSparseAggregateStats.Inputs: float32; Rank 2 Tensor (shape=[batch_size, hessian_dimension]) with hessians for each example.
HEURISTICS_VALUE - Static variable in enum org.tensorflow.proto.framework.RewriterConfig.MemOptType: Use any combination of swapping and recomputation heuristics.
HEXAGON_VALUE - Static variable in enum org.tensorflow.proto.framework.GraphTransferInfo.Destination: HEXAGON = 1;
hGrad - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The gradient of h vector.
hGrad - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The gradient of h vector.
HIDDEN_VALUE - Static variable in enum org.tensorflow.proto.framework.ApiDef.Visibility: Hide this op by putting it into an internal namespace (or whatever is appropriate in the target language).
HILL_CLIMB_VALUE - Static variable in enum org.tensorflow.proto.data.model.AutotuneAlgorithm: HILL_CLIMB = 0;
HINT_VALUE - Static variable in enum org.tensorflow.proto.data.AutoShardPolicy: HINT: Looks for the presence of `shard(SHARD_HINT, ...)` which is treated as a placeholder to replace with `shard(num_workers, worker_index)`.
HINT_VALUE - Static variable in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy: Looks for the presence of `shard(SHARD_HINT, ...)` which is treated as a placeholder to replace with `shard(num_workers, worker_index)`.
HISTO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.Summary.Value
HistogramFixedWidth - Class in org.tensorflow.op.core: Return histogram of values.
HistogramFixedWidth(Operation) - Constructor for class org.tensorflow.op.core.HistogramFixedWidth
histogramFixedWidth(Operand<T>, Operand<T>, Operand<TInt32>) - Method in class org.tensorflow.op.Ops: Return histogram of values.
histogramFixedWidth(Operand<T>, Operand<T>, Operand<TInt32>, Class) - Method in class org.tensorflow.op.Ops: Return histogram of values.
HistogramFixedWidth.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
HistogramProto - Class in org.tensorflow.proto.framework: Serialization format for histogram module in core/lib/histogram/histogram.h
HistogramProto.Builder - Class in org.tensorflow.proto.framework: Serialization format for histogram module in core/lib/histogram/histogram.h
HistogramProtoOrBuilder - Interface in org.tensorflow.proto.framework
HistogramSummary - Class in org.tensorflow.op.summary: Outputs a Summary protocol buffer with a histogram.
HistogramSummary(Operation) - Constructor for class org.tensorflow.op.summary.HistogramSummary
histogramSummary(Operand<TString>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.SummaryOps: Outputs a Summary protocol buffer with a histogram.
HistogramSummary.Inputs - Class in org.tensorflow.op.summary
hopBytes(Long) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader: Sets the hopBytes option.
hopBytes - Variable in class org.tensorflow.op.io.FixedLengthRecordReader.Inputs: Number of bytes to hop before each read.
hopBytes(Long) - Method in class org.tensorflow.op.io.FixedLengthRecordReader.Options: Sets the hopBytes option.
HOST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DebuggedSourceFile
HOST_MEMORY_ARG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.KernelDef
HOST_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.CodeLocation
HOST_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.SourceFile
HOST_TEMP_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CostGraphDef.Node
HOST_TRACER_LEVEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.ProfileOptions
hostComputeCore(List<String>) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the hostComputeCore option.
hostComputeCore(String...) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the hostComputeCore option.
hostComputeCore - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: The hostComputeCore attribute
hostComputeCore(List<String>) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the hostComputeCore option.
hostComputeCore(String...) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the hostComputeCore option.
hostComputeCore(List<String>) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the hostComputeCore option.
hostComputeCore(String...) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the hostComputeCore option.
hostComputeCore - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

The hostComputeCore attribute
hostComputeCore(List<String>) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the hostComputeCore option.
hostComputeCore(String...) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the hostComputeCore option.
HOSTNAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.MachineConfiguration
HOSTNAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.WorkerHeartbeatResponse
HOSTNAMES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XSpace
hostReserved() - Method in class org.tensorflow.op.nn.CudnnRNN: Gets hostReserved.
hostReserved - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The hostReserved input
hPrev - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: Initial output of cell (to be used for peephole).
hPrev - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: Initial output of cell (to be used for peephole).
hPrev - Variable in class org.tensorflow.op.nn.GRUBlockCell.Inputs: The hPrev input
hPrev - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The hPrev input
hPrev - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: Output of the previous cell at previous time step.
hPrev - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The previous h state.
hPrevGrad() - Method in class org.tensorflow.op.nn.BlockLSTMGrad: Gets hPrevGrad.
HsvToRgb<T extends TNumber> - Class in org.tensorflow.op.image: Convert one or more images from HSV to RGB.
HsvToRgb(Operation) - Constructor for class org.tensorflow.op.image.HsvToRgb
hsvToRgb(Operand<T>) - Method in class org.tensorflow.op.ImageOps: Convert one or more images from HSV to RGB.
HsvToRgb.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
hypothesisIndices - Variable in class org.tensorflow.op.core.EditDistance.Inputs: The indices of the hypothesis list SparseTensor.
hypothesisShape - Variable in class org.tensorflow.op.core.EditDistance.Inputs: The shape of the hypothesis list SparseTensor.
hypothesisValues - Variable in class org.tensorflow.op.core.EditDistance.Inputs: The values of the hypothesis list SparseTensor.

I

i - Variable in class org.tensorflow.op.core.InplaceAdd.Inputs: A vector.
i - Variable in class org.tensorflow.op.core.InplaceSub.Inputs: A vector.
i - Variable in class org.tensorflow.op.core.InplaceUpdate.Inputs: A vector.
i() - Method in class org.tensorflow.op.nn.BlockLSTM: Gets i.
i - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The input gate over the whole time sequence.
i() - Method in class org.tensorflow.op.nn.LSTMBlockCell: Gets i.
i - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The input gate.
I_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AttrValue
I_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AttrValue.ListValue
I_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.FullTypeDef
id() - Method in class org.tensorflow.internal.c_api.Node
id() - Method in class org.tensorflow.op.core.Batch: Gets id.
id - Variable in class org.tensorflow.op.core.Unbatch.Inputs: The id input
id - Variable in class org.tensorflow.op.core.UnbatchGrad.Inputs: The id input
id() - Method in class org.tensorflow.op.xla.ReplicaId: Gets id.
ID_COUNTER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto
ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto.Node
ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CostGraphDef.Node
ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XEventMetadata
ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XLine
ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XPlane
ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XStatMetadata
ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.StackFrameWithId
identicalElementShapes(Boolean) - Static method in class org.tensorflow.op.core.TensorArray: Sets the identicalElementShapes option.
identicalElementShapes - Variable in class org.tensorflow.op.core.TensorArray.Inputs: If true (default is false), then all elements in the TensorArray will be expected to have identical shapes.
identicalElementShapes(Boolean) - Method in class org.tensorflow.op.core.TensorArray.Options: Sets the identicalElementShapes option.
IDENTIFIER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedUserObject
Identity<T extends TType> - Class in org.tensorflow.op.core: Return a tensor with the same shape and contents as the input tensor or value.
Identity(Operation) - Constructor for class org.tensorflow.op.core.Identity
identity(Operand<T>) - Method in class org.tensorflow.op.Ops: Return a tensor with the same shape and contents as the input tensor or value.
Identity.Inputs<T extends TType> - Class in org.tensorflow.op.core
IdentityN - Class in org.tensorflow.op.core: Returns a list of tensors with the same shapes and contents as the input tensors.
IdentityN(Operation) - Constructor for class org.tensorflow.op.core.IdentityN
identityN(Iterable<Operand<?>>) - Method in class org.tensorflow.op.Ops: Returns a list of tensors with the same shapes and contents as the input tensors.
IdentityN.Inputs - Class in org.tensorflow.op.core
IdentityReader - Class in org.tensorflow.op.io: A Reader that outputs the queued work as both the key and value.
IdentityReader(Operation) - Constructor for class org.tensorflow.op.io.IdentityReader
identityReader(IdentityReader.Options...) - Method in class org.tensorflow.op.IoOps: A Reader that outputs the queued work as both the key and value.
IdentityReader.Inputs - Class in org.tensorflow.op.io
IdentityReader.Options - Class in org.tensorflow.op.io: Optional attributes for IdentityReader
ids() - Method in class org.tensorflow.op.nn.ComputeAccidentalHits: Gets ids.
idx() - Method in class org.tensorflow.op.core.SetDiff1d: Gets idx.
idx() - Method in class org.tensorflow.op.core.Unique: Gets idx.
idx() - Method in class org.tensorflow.op.core.UniqueWithCounts: Gets idx.
If - Interface in org.tensorflow.op.core: output = cond ? then_branch(input) : else_branch(input)
If - Class in org.tensorflow.op.xla: output = cond ? then_branch(inputs) : else_branch(inputs).
If(Operation) - Constructor for class org.tensorflow.op.xla.If
If.Inputs - Class in org.tensorflow.op.xla
If.Options - Class in org.tensorflow.op.core: Optional attributes for If
Ifft<T extends TType> - Class in org.tensorflow.op.signal: Inverse fast Fourier transform.
Ifft(Operation) - Constructor for class org.tensorflow.op.signal.Ifft
ifft(Operand<T>) - Method in class org.tensorflow.op.SignalOps: Inverse fast Fourier transform.
Ifft.Inputs<T extends TType> - Class in org.tensorflow.op.signal
Ifft2d<T extends TType> - Class in org.tensorflow.op.signal: Inverse 2D fast Fourier transform.
Ifft2d(Operation) - Constructor for class org.tensorflow.op.signal.Ifft2d
ifft2d(Operand<T>) - Method in class org.tensorflow.op.SignalOps: Inverse 2D fast Fourier transform.
Ifft2d.Inputs<T extends TType> - Class in org.tensorflow.op.signal
Ifft3d<T extends TType> - Class in org.tensorflow.op.signal: Inverse 3D fast Fourier transform.
Ifft3d(Operation) - Constructor for class org.tensorflow.op.signal.Ifft3d
ifft3d(Operand<T>) - Method in class org.tensorflow.op.SignalOps: Inverse 3D fast Fourier transform.
Ifft3d.Inputs<T extends TType> - Class in org.tensorflow.op.signal
ifOp(Operand<? extends TType>, Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction, ConcreteFunction, If.Options...) - Method in class org.tensorflow.op.Ops: output = cond ? then_branch(input) : else_branch(input)
ifOp(Operand<? extends TType>, Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, List<Class<? extends TType>>) - Method in class org.tensorflow.op.XlaOps: output = cond ? then_branch(inputs) : else_branch(inputs).
Igamma<T extends TNumber> - Class in org.tensorflow.op.math: Compute the lower regularized incomplete Gamma function P(a, x).
Igamma(Operation) - Constructor for class org.tensorflow.op.math.Igamma
igamma(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Compute the lower regularized incomplete Gamma function P(a, x).
Igamma.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
Igammac<T extends TNumber> - Class in org.tensorflow.op.math: Compute the upper regularized incomplete Gamma function Q(a, x).
Igammac(Operation) - Constructor for class org.tensorflow.op.math.Igammac
igammac(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Compute the upper regularized incomplete Gamma function Q(a, x).
Igammac.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
IgammaGradA<T extends TNumber> - Class in org.tensorflow.op.math: Computes the gradient of igamma(a, x) wrt a.
IgammaGradA(Operation) - Constructor for class org.tensorflow.op.math.IgammaGradA
IgammaGradA.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
IgnoreError() - Method in class org.tensorflow.internal.c_api.NativeStatus
IgnoreErrorsDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that contains the elements of input_dataset ignoring errors.
IgnoreErrorsDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.IgnoreErrorsDataset
IgnoreErrorsDataset - Class in org.tensorflow.op.data: Creates a dataset that contains the elements of input_dataset ignoring errors.
IgnoreErrorsDataset(Operation) - Constructor for class org.tensorflow.op.data.IgnoreErrorsDataset
ignoreErrorsDataset(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, IgnoreErrorsDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that contains the elements of input_dataset ignoring errors.
IgnoreErrorsDataset.Inputs - Class in org.tensorflow.op.data.experimental
IgnoreErrorsDataset.Inputs - Class in org.tensorflow.op.data
IgnoreErrorsDataset.Options - Class in org.tensorflow.op.data.experimental: Optional attributes for IgnoreErrorsDataset
IgnoreErrorsDataset.Options - Class in org.tensorflow.op.data: Optional attributes for IgnoreErrorsDataset
ignoreLongerOutputsThanInputs(Boolean) - Static method in class org.tensorflow.op.nn.CtcLoss: Sets the ignoreLongerOutputsThanInputs option.
ignoreLongerOutputsThanInputs - Variable in class org.tensorflow.op.nn.CtcLoss.Inputs: Scalar.
ignoreLongerOutputsThanInputs(Boolean) - Method in class org.tensorflow.op.nn.CtcLoss.Options: Sets the ignoreLongerOutputsThanInputs option.
ignoreLongerOutputsThanInputs(Boolean) - Static method in class org.tensorflow.op.nn.CTCLossV2: Sets the ignoreLongerOutputsThanInputs option.
ignoreLongerOutputsThanInputs - Variable in class org.tensorflow.op.nn.CTCLossV2.Inputs: Scalar.
ignoreLongerOutputsThanInputs(Boolean) - Method in class org.tensorflow.op.nn.CTCLossV2.Options: Sets the ignoreLongerOutputsThanInputs option.
ignoreLookupError(Boolean) - Static method in class org.tensorflow.op.core.DestroyResourceOp: Sets the ignoreLookupError option.
ignoreLookupError - Variable in class org.tensorflow.op.core.DestroyResourceOp.Inputs: whether to ignore the error when the resource doesn't exist.
ignoreLookupError(Boolean) - Method in class org.tensorflow.op.core.DestroyResourceOp.Options: Sets the ignoreLookupError option.
imag - Variable in class org.tensorflow.op.dtypes.Complex.Inputs: The imag input
Imag - Class in org.tensorflow.op.math: Returns the imaginary part of a complex number.
Imag(Operation) - Constructor for class org.tensorflow.op.math.Imag
imag(Operand<? extends TType>) - Method in class org.tensorflow.op.MathOps: Returns the imaginary part of a complex number.
imag(Operand<? extends TType>, Class) - Method in class org.tensorflow.op.MathOps: Returns the imaginary part of a complex number.
Imag.Inputs - Class in org.tensorflow.op.math
image - Variable in class org.tensorflow.op.image.CropAndResize.Inputs: A 4-D tensor of shape [batch, image_height, image_width, depth].
image - Variable in class org.tensorflow.op.image.CropAndResizeGradBoxes.Inputs: A 4-D tensor of shape [batch, image_height, image_width, depth].
image() - Method in class org.tensorflow.op.image.DecodeAndCropJpeg: Gets image.
image() - Method in class org.tensorflow.op.image.DecodeBmp: Gets image.
image() - Method in class org.tensorflow.op.image.DecodeGif: Gets image.
image() - Method in class org.tensorflow.op.image.DecodeImage: Gets image.
image() - Method in class org.tensorflow.op.image.DecodeJpeg: Gets image.
image() - Method in class org.tensorflow.op.image.DecodePng: Gets image.
image - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: 3-D with shape [height, width, channels].
image - Variable in class org.tensorflow.op.image.EncodePng.Inputs: 3-D with shape [height, width, channels].
image - Variable in class org.tensorflow.op.image.RandomCrop.Inputs: 3-D of shape [height, width, channels].
image - Variable in class org.tensorflow.op.Ops
IMAGE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.Summary.Value
imageInfo - Variable in class org.tensorflow.op.image.GenerateBoundingBoxProposals.Inputs: A 2-D float tensor of shape [num_images, 5] containing image information Height, Width, Scale.
ImageOps - Class in org.tensorflow.op: An API for building image operations as Ops
ImageProjectiveTransformV2<T extends TNumber> - Class in org.tensorflow.op.image: Applies the given transform to each of the images.
ImageProjectiveTransformV2(Operation) - Constructor for class org.tensorflow.op.image.ImageProjectiveTransformV2
ImageProjectiveTransformV2.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
ImageProjectiveTransformV2.Options - Class in org.tensorflow.op.image: Optional attributes for ImageProjectiveTransformV2
ImageProjectiveTransformV3<T extends TNumber> - Class in org.tensorflow.op.image: Applies the given transform to each of the images.
ImageProjectiveTransformV3(Operation) - Constructor for class org.tensorflow.op.image.ImageProjectiveTransformV3
ImageProjectiveTransformV3.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
ImageProjectiveTransformV3.Options - Class in org.tensorflow.op.image: Optional attributes for ImageProjectiveTransformV3
images - Variable in class org.tensorflow.op.image.AdjustContrast.Inputs: Images to adjust.
images - Variable in class org.tensorflow.op.image.AdjustHue.Inputs: Images to adjust.
images - Variable in class org.tensorflow.op.image.AdjustSaturation.Inputs: Images to adjust.
images - Variable in class org.tensorflow.op.image.DrawBoundingBoxes.Inputs: 4-D with shape [batch, height, width, depth].
images - Variable in class org.tensorflow.op.image.EncodeJpegVariableQuality.Inputs: Images to adjust.
images - Variable in class org.tensorflow.op.image.ExtractImagePatches.Inputs: 4-D Tensor with shape [batch, in_rows, in_cols, depth].
images - Variable in class org.tensorflow.op.image.HsvToRgb.Inputs: 1-D or higher rank.
images - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV2.Inputs: 4-D with shape [batch, height, width, channels].
images - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV3.Inputs: 4-D with shape [batch, height, width, channels].
images - Variable in class org.tensorflow.op.image.QuantizedResizeBilinear.Inputs: 4-D with shape [batch, height, width, channels].
images - Variable in class org.tensorflow.op.image.ResizeArea.Inputs: 4-D with shape [batch, height, width, channels].
images - Variable in class org.tensorflow.op.image.ResizeBicubic.Inputs: 4-D with shape [batch, height, width, channels].
images - Variable in class org.tensorflow.op.image.ResizeBilinear.Inputs: 4-D with shape [batch, height, width, channels].
images - Variable in class org.tensorflow.op.image.ResizeNearestNeighbor.Inputs: 4-D with shape [batch, height, width, channels].
images - Variable in class org.tensorflow.op.image.RgbToHsv.Inputs: 1-D or higher rank.
images - Variable in class org.tensorflow.op.image.ScaleAndTranslate.Inputs: The images input
imageShape() - Method in class org.tensorflow.op.image.ExtractJpegShape: Gets imageShape.
imageSize - Variable in class org.tensorflow.op.image.CropAndResizeGradImage.Inputs: A 1-D tensor with value [batch, image_height, image_width, depth] containing the original image size.
imageSize - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: 1-D, containing [height, width, channels].
imageSize - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: 1-D, containing [height, width, channels].
ImageSummary - Class in org.tensorflow.op.summary: Outputs a Summary protocol buffer with images.
ImageSummary(Operation) - Constructor for class org.tensorflow.op.summary.ImageSummary
imageSummary(Operand<TString>, Operand<? extends TNumber>, ImageSummary.Options...) - Method in class org.tensorflow.op.SummaryOps: Outputs a Summary protocol buffer with images.
ImageSummary.Inputs - Class in org.tensorflow.op.summary
ImageSummary.Options - Class in org.tensorflow.op.summary: Optional attributes for ImageSummary
ImmutableConst<T extends TType> - Class in org.tensorflow.op.core: Returns immutable tensor from memory region.
ImmutableConst(Operation) - Constructor for class org.tensorflow.op.core.ImmutableConst
immutableConst(Class<T>, Shape, String) - Method in class org.tensorflow.op.Ops: Returns immutable tensor from memory region.
ImmutableConst.Inputs - Class in org.tensorflow.op.core
impl() - Method in class org.tensorflow.internal.c_api.TF_Scope
Impl() - Constructor for class org.tensorflow.internal.c_api.TF_Scope.Impl: Empty constructor.
Impl(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_Scope.Impl: Pointer cast constructor.
IMPLEMENTATION_SELECTOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
ImportEvent - Class in org.tensorflow.op.summary: The ImportEvent operation
ImportEvent(Operation) - Constructor for class org.tensorflow.op.summary.ImportEvent
ImportEvent.Inputs - Class in org.tensorflow.op.summary
importGraphDef(GraphDef) - Method in class org.tensorflow.Graph: Import a representation of a TensorFlow graph.
importGraphDef(GraphDef, String) - Method in class org.tensorflow.Graph: Import a representation of a TensorFlow graph.
IN_ARG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ApiDef
IN_USE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.MemChunk
INACCURATE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CostGraphDef.Node
inBackprop() - Method in class org.tensorflow.op.nn.Dilation2dBackpropInput: Gets inBackprop.
INCARNATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DeviceAttributes
incarnationId - Variable in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard.Inputs: Which incarnation of the MultiDeviceIterator is running.
incarnationId() - Method in class org.tensorflow.op.data.MultiDeviceIteratorInit: Gets incarnationId.
INCLUDE_DATASET_OPS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.ProfileOptions
includeBatchInIndex(Boolean) - Static method in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax: Sets the includeBatchInIndex option.
includeBatchInIndex - Variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs: Whether to include batch dimension in flattened index of `argmax`.
includeBatchInIndex(Boolean) - Method in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Options: Sets the includeBatchInIndex option.
includeBatchInIndex(Boolean) - Static method in class org.tensorflow.op.nn.MaxPoolGradWithArgmax: Sets the includeBatchInIndex option.
includeBatchInIndex - Variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs: Whether to include batch dimension in flattened index of `argmax`.
includeBatchInIndex(Boolean) - Method in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Options: Sets the includeBatchInIndex option.
includeBatchInIndex(Boolean) - Static method in class org.tensorflow.op.nn.MaxPoolWithArgmax: Sets the includeBatchInIndex option.
includeBatchInIndex - Variable in class org.tensorflow.op.nn.MaxPoolWithArgmax.Inputs: Whether to include batch dimension in flattened index of `argmax`.
includeBatchInIndex(Boolean) - Method in class org.tensorflow.op.nn.MaxPoolWithArgmax.Options: Sets the includeBatchInIndex option.
incompatibleShapeError(Boolean) - Static method in class org.tensorflow.op.math.Equal: Sets the incompatibleShapeError option.
incompatibleShapeError - Variable in class org.tensorflow.op.math.Equal.Inputs: The incompatibleShapeError attribute
incompatibleShapeError(Boolean) - Method in class org.tensorflow.op.math.Equal.Options: Sets the incompatibleShapeError option.
incompatibleShapeError(Boolean) - Static method in class org.tensorflow.op.math.NotEqual: Sets the incompatibleShapeError option.
incompatibleShapeError - Variable in class org.tensorflow.op.math.NotEqual.Inputs: The incompatibleShapeError attribute
incompatibleShapeError(Boolean) - Method in class org.tensorflow.op.math.NotEqual.Options: Sets the incompatibleShapeError option.
increment() - Method in class org.tensorflow.internal.c_api.NameMap.Iterator
increment() - Method in class org.tensorflow.internal.c_api.NativeOutputVector.Iterator
index() - Method in class org.tensorflow.internal.c_api.NativeOutput
index() - Method in class org.tensorflow.internal.c_api.TF_Input
index(int) - Method in class org.tensorflow.internal.c_api.TF_Input
index() - Method in class org.tensorflow.internal.c_api.TF_Output
index(int) - Method in class org.tensorflow.internal.c_api.TF_Output
index() - Method in class org.tensorflow.op.cluster.KMC2ChainInitialization: Gets index.
index() - Method in class org.tensorflow.op.core.DeviceIndex: Gets index.
index - Variable in class org.tensorflow.op.core.GetElementAtIndex.Inputs: The index input
index - Variable in class org.tensorflow.op.core.RefSelect.Inputs: A scalar that determines the input that gets selected.
Index - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The Index attribute
Index - Variable in class org.tensorflow.op.core.Slice.Inputs: The Index attribute
index - Variable in class org.tensorflow.op.core.StagePeek.Inputs: The index input
Index - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: The Index attribute
Index - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The Index attribute
Index - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The Index attribute
index - Variable in class org.tensorflow.op.core.TensorArrayRead.Inputs: The index input
index - Variable in class org.tensorflow.op.core.TensorArrayWrite.Inputs: The position to write to inside the TensorArray.
index - Variable in class org.tensorflow.op.core.TensorListGetItem.Inputs: The index input
index - Variable in class org.tensorflow.op.core.TensorListSetItem.Inputs: The index input
Index - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The Index attribute
index() - Method in class org.tensorflow.op.core.Where: Gets index.
index - Variable in class org.tensorflow.op.data.AutoShardDataset.Inputs: A scalar representing the index of the current worker out of num_workers.
index - Variable in class org.tensorflow.op.data.experimental.AutoShardDataset.Inputs: A scalar representing the index of the current worker out of num_workers.
index - Variable in class org.tensorflow.op.data.ShardDataset.Inputs: An integer representing the current worker index.
index - Variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents.Inputs: The index in csr_sparse_matrix's batch.
Index - Variable in class org.tensorflow.op.risc.RiscReduce.Inputs: The Index attribute
Index - Variable in class org.tensorflow.op.risc.RiscSlice.Inputs: The Index attribute
Index - Variable in class org.tensorflow.op.risc.RiscSort.Inputs: The Index attribute
index(Long) - Static method in class org.tensorflow.op.tpu.ReplicatedInput: Sets the index option.
index - Variable in class org.tensorflow.op.tpu.ReplicatedInput.Inputs: The index attribute
index(Long) - Method in class org.tensorflow.op.tpu.ReplicatedInput.Options: Sets the index option.
index(Long) - Static method in class org.tensorflow.op.tpu.TPUReplicatedInput: Deprecated.

Sets the index option.
index - Variable in class org.tensorflow.op.tpu.TPUReplicatedInput.Inputs: Deprecated.

The index attribute
index(Long) - Method in class org.tensorflow.op.tpu.TPUReplicatedInput.Options: Deprecated.

Sets the index option.
index() - Method in class org.tensorflow.Output: Returns the index into the outputs of the Operation.
INDEX_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MemoryLogTensorOutput
INDEXED_SLICES_SPEC_VALUE - Static variable in enum org.tensorflow.proto.framework.TypeSpecProto.TypeSpecClass: tf.IndexedSlicesSpec
indexType - Variable in class org.tensorflow.op.core.Fill.Inputs: The indexType attribute
indices() - Method in class org.tensorflow.op.core.BarrierTakeMany: Gets indices.
indices - Variable in class org.tensorflow.op.core.DynamicStitch.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.Gather.Inputs: Index tensor.
indices - Variable in class org.tensorflow.op.core.GatherNd.Inputs: Index tensor.
indices - Variable in class org.tensorflow.op.core.MapPeek.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.MapStage.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.MapUnstage.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.MapUnstageNoKey.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.OneHot.Inputs: A tensor of indices.
indices - Variable in class org.tensorflow.op.core.OrderedMapPeek.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.OrderedMapStage.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.OrderedMapUnstage.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.ParallelDynamicStitch.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.ResourceGather.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.ResourceGatherNd.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.ResourceScatterAdd.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ResourceScatterDiv.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ResourceScatterMax.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ResourceScatterMin.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ResourceScatterMul.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ResourceScatterNdAdd.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ResourceScatterNdMax.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ResourceScatterNdMin.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ResourceScatterNdSub.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ResourceScatterNdUpdate.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ResourceScatterSub.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ResourceScatterUpdate.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ScatterAdd.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ScatterDiv.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ScatterMax.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ScatterMin.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ScatterMul.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ScatterNd.Inputs: Tensor of indices.
indices - Variable in class org.tensorflow.op.core.ScatterNdAdd.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ScatterNdMax.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ScatterNdMin.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ScatterNdNonAliasingAdd.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ScatterNdSub.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ScatterNdUpdate.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ScatterSub.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ScatterUpdate.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.TensorArrayGather.Inputs: The locations in the TensorArray from which to read tensor elements.
indices - Variable in class org.tensorflow.op.core.TensorArrayScatter.Inputs: The locations at which to write the tensor elements.
indices - Variable in class org.tensorflow.op.core.TensorListGather.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.TensorListScatter.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.TensorListScatterIntoExistingList.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.TensorScatterNdAdd.Inputs: Index tensor.
indices - Variable in class org.tensorflow.op.core.TensorScatterNdMax.Inputs: Index tensor.
indices - Variable in class org.tensorflow.op.core.TensorScatterNdMin.Inputs: Index tensor.
indices - Variable in class org.tensorflow.op.core.TensorScatterNdSub.Inputs: Index tensor.
indices - Variable in class org.tensorflow.op.core.TensorScatterNdUpdate.Inputs: Index tensor.
indices - Variable in class org.tensorflow.op.core.UnravelIndex.Inputs: An 0-D or 1-D int Tensor whose elements are indices into the flattened version of an array of dimensions dims.
indices - Variable in class org.tensorflow.op.data.SparseTensorSliceDataset.Inputs: The indices input
indices() - Method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToSparseTensor: Gets indices.
indices - Variable in class org.tensorflow.op.linalg.sparse.DenseToCSRSparseMatrix.Inputs: Indices of nonzero elements.
indices - Variable in class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix.Inputs: SparseTensor indices.
indices() - Method in class org.tensorflow.op.nn.ComputeAccidentalHits: Gets indices.
indices() - Method in class org.tensorflow.op.nn.TopK: Gets indices.
indices - Variable in class org.tensorflow.op.ragged.RaggedGather.Inputs: Indices in the outermost dimension of params of the values that should be gathered.
indices - Variable in class org.tensorflow.op.risc.RiscGather.Inputs: The indices input
indices - Variable in class org.tensorflow.op.risc.RiscScatter.Inputs: The indices input
indices() - Method in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient: Gets indices.
indices - Variable in class org.tensorflow.op.sparse.SparseBincount.Inputs: 2D int64 Tensor.
indices - Variable in class org.tensorflow.op.sparse.SparseConcat.Inputs: 2-D.
indices - Variable in class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs: Tensor containing the indices of the sparse tensor to count.
indices - Variable in class org.tensorflow.op.sparse.SparseCross.Inputs: 2-D.
indices - Variable in class org.tensorflow.op.sparse.SparseCrossHashed.Inputs: 2-D.
indices - Variable in class org.tensorflow.op.sparse.SparseFillEmptyRows.Inputs: 2-D.
indices - Variable in class org.tensorflow.op.sparse.SparseSegmentMean.Inputs: A 1-D tensor.
indices - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanGrad.Inputs: indices passed to the corresponding SparseSegmentMean op.
indices - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs: A 1-D tensor.
indices - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtN.Inputs: A 1-D tensor.
indices - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad.Inputs: indices passed to the corresponding SparseSegmentSqrtN op.
indices - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs: A 1-D tensor.
indices - Variable in class org.tensorflow.op.sparse.SparseSegmentSum.Inputs: A 1-D tensor.
indices - Variable in class org.tensorflow.op.sparse.SparseSegmentSumGrad.Inputs: indices passed to the corresponding SparseSegmentSum op.
indices - Variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs: A 1-D tensor.
indices - Variable in class org.tensorflow.op.sparse.SparseSlice.Inputs: 2-D tensor represents the indices of the sparse tensor.
indices - Variable in class org.tensorflow.op.sparse.SparseSplit.Inputs: 2-D tensor represents the indices of the sparse tensor.
indices() - Method in class org.tensorflow.op.strings.StringSplit: Gets indices.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: A vector of indices into the first dimension of var, ms and mom.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: A vector of indices into the first dimension of var, ms and mom.
indices - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: A vector of indices into the first dimension of var, ms and mom.
indices - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: A vector of indices into the first dimension of var, ms and mom.
indices - Variable in class org.tensorflow.op.xla.DynamicUpdateSlice.Inputs: A vector of indices into input.
INDICES_OUTPUT_TENSOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.example.VarLenFeatureProto
INDICES_TENSOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorInfo.CooSparse
indicesAreSorted - Variable in class org.tensorflow.op.xla.Gather.Inputs: Boolean indicating if the indices are sorted.
indicesAreSorted - Variable in class org.tensorflow.op.xla.Scatter.Inputs: Boolean indicating if the indices are sorted.
InfeedDequeue<T extends TType> - Class in org.tensorflow.op.tpu: A placeholder op for a value that will be fed into the computation.
InfeedDequeue(Operation) - Constructor for class org.tensorflow.op.tpu.InfeedDequeue
InfeedDequeue.Inputs - Class in org.tensorflow.op.tpu
InfeedDequeueTuple - Class in org.tensorflow.op.tpu: Fetches multiple values from infeed as an XLA tuple.
InfeedDequeueTuple(Operation) - Constructor for class org.tensorflow.op.tpu.InfeedDequeueTuple
InfeedDequeueTuple.Inputs - Class in org.tensorflow.op.tpu
InfeedEnqueue - Class in org.tensorflow.op.tpu: An op which feeds a single Tensor value into the computation.
InfeedEnqueue(Operation) - Constructor for class org.tensorflow.op.tpu.InfeedEnqueue
InfeedEnqueue.Inputs - Class in org.tensorflow.op.tpu
InfeedEnqueue.Options - Class in org.tensorflow.op.tpu: Optional attributes for InfeedEnqueue
InfeedEnqueuePrelinearizedBuffer - Class in org.tensorflow.op.tpu: An op which enqueues prelinearized buffer into TPU infeed.
InfeedEnqueuePrelinearizedBuffer(Operation) - Constructor for class org.tensorflow.op.tpu.InfeedEnqueuePrelinearizedBuffer
InfeedEnqueuePrelinearizedBuffer.Inputs - Class in org.tensorflow.op.tpu
InfeedEnqueuePrelinearizedBuffer.Options - Class in org.tensorflow.op.tpu: Optional attributes for InfeedEnqueuePrelinearizedBuffer
InfeedEnqueueTuple - Class in org.tensorflow.op.tpu: Feeds multiple Tensor values into the computation as an XLA tuple.
InfeedEnqueueTuple(Operation) - Constructor for class org.tensorflow.op.tpu.InfeedEnqueueTuple
InfeedEnqueueTuple.Inputs - Class in org.tensorflow.op.tpu
InfeedEnqueueTuple.Options - Class in org.tensorflow.op.tpu: Optional attributes for InfeedEnqueueTuple
INFER_SHAPES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphOptions
INFO_VALUE - Static variable in enum org.tensorflow.proto.util.LogMessage.Level: Deprecated.

INFO = 20;
init(ByteSequenceProvider<T>) - Method in class org.tensorflow.internal.buffer.ByteSequenceTensorBuffer: Initialize the data of this buffer.
init(ClassProperties) - Method in class org.tensorflow.internal.c_api.presets.tensorflow
init(Boolean) - Static method in class org.tensorflow.op.core.Empty: Sets the init option.
init - Variable in class org.tensorflow.op.core.Empty.Inputs: If True, initialize the returned tensor with the default value of dtype.
init(Boolean) - Method in class org.tensorflow.op.core.Empty.Options: Sets the init option.
initDefault(EagerSession.Options) - Static method in class org.tensorflow.EagerSession: Initializes the default eager session, which remains active for the lifetime of the application.
initEnv() - Method in interface org.tensorflow.ExecutionEnvironment: Get the execution environment to use for initialization.
initFuncOtherArgs - Variable in class org.tensorflow.op.data.GeneratorDataset.Inputs: The initFuncOtherArgs input
initFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: A list of tensors, typically values that were captured when building a closure for init_func.
initFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: A list of tensors, typically values that were captured when building a closure for init_func.
INITIAL_VALUE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.VariableDef
initialize() - Method in class org.tensorflow.Session: Execute any un-ran initializers.
INITIALIZER_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.VariableDef
initializers() - Method in class org.tensorflow.Graph: Returns a set of ops that will run all initializers added to the graph via Graph.registerInitOp(Operation).
InitializeTable - Class in org.tensorflow.op.core: Table initializer that takes two tensors for keys and values respectively.
InitializeTable(Operation) - Constructor for class org.tensorflow.op.core.InitializeTable
initializeTable(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Table initializer that takes two tensors for keys and values respectively.
InitializeTable.Inputs - Class in org.tensorflow.op.core
InitializeTableFromDataset - Class in org.tensorflow.op.data: The InitializeTableFromDataset operation
InitializeTableFromDataset(Operation) - Constructor for class org.tensorflow.op.data.InitializeTableFromDataset
initializeTableFromDataset(Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.DataOps: The InitializeTableFromDataset operation
InitializeTableFromDataset.Inputs - Class in org.tensorflow.op.data
InitializeTableFromTextFile - Class in org.tensorflow.op.core: Initializes a table from a text file.
InitializeTableFromTextFile(Operation) - Constructor for class org.tensorflow.op.core.InitializeTableFromTextFile
initializeTableFromTextFile(Operand<? extends TType>, Operand<TString>, Long, Long, InitializeTableFromTextFile.Options...) - Method in class org.tensorflow.op.Ops: Initializes a table from a text file.
InitializeTableFromTextFile.Inputs - Class in org.tensorflow.op.core
InitializeTableFromTextFile.Options - Class in org.tensorflow.op.core: Optional attributes for InitializeTableFromTextFile
initializingValues - Variable in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Inputs: A float Tensor containing values to fill in for cells in the output matrix that are not loaded from the checkpoint.
initialNumBuckets(Long) - Static method in class org.tensorflow.op.core.MutableDenseHashTable: Sets the initialNumBuckets option.
initialNumBuckets - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: The initial number of hash table buckets.
initialNumBuckets(Long) - Method in class org.tensorflow.op.core.MutableDenseHashTable.Options: Sets the initialNumBuckets option.
initialState - Variable in class org.tensorflow.op.data.experimental.ScanDataset.Inputs: The initialState input
initialState - Variable in class org.tensorflow.op.data.ReduceDataset.Inputs: A nested structure of tensors, representing the initial state of the transformation.
initialState - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The initialState input
initialState - Variable in class org.tensorflow.op.xla.RngBitGenerator.Inputs: Initial state for the PRNG algorithm.
initValue - Variable in class org.tensorflow.op.xla.Reduce.Inputs: a scalar representing the initial value for the reduction
initValue - Variable in class org.tensorflow.op.xla.ReduceWindow.Inputs: a scalar representing the initial value for the reduction
initValue - Variable in class org.tensorflow.op.xla.SelectAndScatter.Inputs: a scalar representing the initial value for the output tensor
initValues - Variable in class org.tensorflow.op.xla.XlaVariadicReduce.Inputs: scalar initial value(s) for the reduction
InplaceAdd<T extends TType> - Class in org.tensorflow.op.core: Adds v into specified rows of x.
InplaceAdd(Operation) - Constructor for class org.tensorflow.op.core.InplaceAdd
inplaceAdd(Operand<T>, Operand<TInt32>, Operand<T>) - Method in class org.tensorflow.op.Ops: Adds v into specified rows of x.
InplaceAdd.Inputs<T extends TType> - Class in org.tensorflow.op.core
InplaceSub<T extends TType> - Class in org.tensorflow.op.core: Subtracts `v` into specified rows of `x`.
InplaceSub(Operation) - Constructor for class org.tensorflow.op.core.InplaceSub
inplaceSub(Operand<T>, Operand<TInt32>, Operand<T>) - Method in class org.tensorflow.op.Ops: Subtracts `v` into specified rows of `x`.
InplaceSub.Inputs<T extends TType> - Class in org.tensorflow.op.core
InplaceUpdate<T extends TType> - Class in org.tensorflow.op.core: Updates specified rows 'i' with values 'v'.
InplaceUpdate(Operation) - Constructor for class org.tensorflow.op.core.InplaceUpdate
inplaceUpdate(Operand<T>, Operand<TInt32>, Operand<T>) - Method in class org.tensorflow.op.Ops: Updates specified rows 'i' with values 'v'.
InplaceUpdate.Inputs<T extends TType> - Class in org.tensorflow.op.core
input(int) - Method in class org.tensorflow.GraphOperation: Gets the input at the given index
input - Variable in class org.tensorflow.op.audio.AudioSpectrogram.Inputs: Float representation of audio data.
input - Variable in class org.tensorflow.op.collective.CollectiveAllToAll.Inputs: The input input
input - Variable in class org.tensorflow.op.collective.CollectiveBcastSend.Inputs: The input input
input - Variable in class org.tensorflow.op.collective.CollectiveGather.Inputs: The input input
input - Variable in class org.tensorflow.op.collective.CollectivePermute.Inputs: The local input to be permuted.
input - Variable in class org.tensorflow.op.collective.CollectiveReduce.Inputs: The input input
input - Variable in class org.tensorflow.op.core.All.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.Any.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.BatchToSpace.Inputs: 4-D tensor with shape [batch*block_size*block_size, height_pad/block_size, width_pad/block_size, depth].
input - Variable in class org.tensorflow.op.core.BatchToSpaceNd.Inputs: N-D with shape input_shape = [batch] + spatial_shape + remaining_shape, where spatial_shape has M dimensions.
input - Variable in class org.tensorflow.op.core.Bitcast.Inputs: The input input
input - Variable in class org.tensorflow.op.core.BroadcastTo.Inputs: A Tensor to broadcast.
input - Variable in class org.tensorflow.op.core.Bucketize.Inputs: Any shape of Tensor contains with int or float type.
input - Variable in class org.tensorflow.op.core.Copy.Inputs: Input tensor.
input - Variable in class org.tensorflow.op.core.CopyHost.Inputs: Input tensor.
input - Variable in class org.tensorflow.op.core.EnsureShape.Inputs: A tensor, whose shape is to be validated.
input - Variable in class org.tensorflow.op.core.ExpandDims.Inputs: The input input
input - Variable in class org.tensorflow.op.core.ExtractVolumePatches.Inputs: 5-D Tensor with shape [batch, in_planes, in_rows, in_cols, depth].
input - Variable in class org.tensorflow.op.core.For.Inputs: A list of input tensors whose types are T.
input - Variable in class org.tensorflow.op.core.GuaranteeConst.Inputs: The input input
input - Variable in class org.tensorflow.op.core.Identity.Inputs: The input input
input - Variable in class org.tensorflow.op.core.IdentityN.Inputs: The input input
input - Variable in class org.tensorflow.op.core.KthOrderStatistic.Inputs: The input input
input - Variable in class org.tensorflow.op.core.LoopCond.Inputs: A boolean scalar, representing the branch predicate of the Switch op.
input - Variable in class org.tensorflow.op.core.MakeUnique.Inputs: The input input
input - Variable in class org.tensorflow.op.core.Max.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.Min.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.MirrorPad.Inputs: The input tensor to be padded.
input - Variable in class org.tensorflow.op.core.MirrorPadGrad.Inputs: The input tensor to be folded.
input - Variable in class org.tensorflow.op.core.NcclAllReduce.Inputs: Deprecated.

The input input
input - Variable in class org.tensorflow.op.core.NcclBroadcast.Inputs: Deprecated.

The input input
input - Variable in class org.tensorflow.op.core.NcclReduce.Inputs: Deprecated.

The input input
input - Variable in class org.tensorflow.op.core.Pad.Inputs: The input input
input - Variable in class org.tensorflow.op.core.PlaceholderWithDefault.Inputs: The default value to produce when output is not fed.
input - Variable in class org.tensorflow.op.core.Print.Inputs: The string scalar to print.
input - Variable in class org.tensorflow.op.core.Prod.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.Rank.Inputs: The input input
input - Variable in class org.tensorflow.op.core.ReduceAll.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.ReduceAny.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.ReduceMax.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.ReduceMin.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.ReduceProd.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.ReduceSum.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.RefIdentity.Inputs: The input input
input - Variable in class org.tensorflow.op.core.ReverseSequence.Inputs: The input to reverse.
input - Variable in class org.tensorflow.op.core.Roll.Inputs: The input input
input - Variable in class org.tensorflow.op.core.ScatterNdNonAliasingAdd.Inputs: A Tensor.
input - Variable in class org.tensorflow.op.core.Shape.Inputs: The input input
input - Variable in class org.tensorflow.op.core.ShapeN.Inputs: The input input
input - Variable in class org.tensorflow.op.core.Size.Inputs: The input input
input - Variable in class org.tensorflow.op.core.Slice.Inputs: The input input
input - Variable in class org.tensorflow.op.core.Snapshot.Inputs: The input input
input - Variable in class org.tensorflow.op.core.SpaceToBatchNd.Inputs: N-D with shape input_shape = [batch] + spatial_shape + remaining_shape, where spatial_shape has M dimensions.
input - Variable in class org.tensorflow.op.core.Squeeze.Inputs: The input to squeeze.
input - Variable in class org.tensorflow.op.core.StatefulCase.Inputs: A list of input tensors passed to the branch function.
input - Variable in class org.tensorflow.op.core.StatefulIf.Inputs: A list of input tensors.
input - Variable in class org.tensorflow.op.core.StatefulWhile.Inputs: A list of input tensors whose types are T.
input - Variable in class org.tensorflow.op.core.StatelessCase.Inputs: A list of input tensors passed to the branch function.
input - Variable in class org.tensorflow.op.core.StatelessIf.Inputs: A list of input tensors.
input - Variable in class org.tensorflow.op.core.StatelessWhile.Inputs: A list of input tensors whose types are T.
input - Variable in class org.tensorflow.op.core.StopGradient.Inputs: The input input
input - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: The input input
input - Variable in class org.tensorflow.op.core.Sum.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The input input
input - Variable in class org.tensorflow.op.core.Tile.Inputs: 1-D or higher.
input - Variable in class org.tensorflow.op.core.TopKUnique.Inputs: The input input
input - Variable in class org.tensorflow.op.core.TopKWithUnique.Inputs: The input input
input - Variable in class org.tensorflow.op.core.VariableShape.Inputs: The input input
input - Variable in class org.tensorflow.op.debugging.DebugGradientIdentity.Inputs: The input input
input - Variable in class org.tensorflow.op.debugging.DebugGradientRefIdentity.Inputs: The input input
input - Variable in class org.tensorflow.op.debugging.DebugIdentity.Inputs: Input tensor, non-Reference type
input - Variable in class org.tensorflow.op.debugging.DebugNanCount.Inputs: Input tensor, non-Reference type.
input - Variable in class org.tensorflow.op.debugging.DebugNumericsSummary.Inputs: Input tensor, to be summarized by the op.
input - Variable in class org.tensorflow.op.distribute.NcclAllReduce.Inputs: The input input
input - Variable in class org.tensorflow.op.distribute.NcclBroadcast.Inputs: The input input
input - Variable in class org.tensorflow.op.distribute.NcclReduce.Inputs: The input input
input - Variable in class org.tensorflow.op.dtypes.AsString.Inputs: The input input
input - Variable in class org.tensorflow.op.dtypes.ToBool.Inputs: The input input
input - Variable in class org.tensorflow.op.image.ExtractGlimpse.Inputs: A 4-D float tensor of shape [batch_size, height, width, channels].
input - Variable in class org.tensorflow.op.io.DecodeBase64.Inputs: Base64 strings to decode.
input - Variable in class org.tensorflow.op.io.EncodeBase64.Inputs: Strings to be encoded.
input - Variable in class org.tensorflow.op.linalg.BandPart.Inputs: Rank k tensor.
input - Variable in class org.tensorflow.op.linalg.BatchCholesky.Inputs: The input input
input - Variable in class org.tensorflow.op.linalg.BatchMatrixBandPart.Inputs: The input input
input - Variable in class org.tensorflow.op.linalg.BatchMatrixDeterminant.Inputs: The input input
input - Variable in class org.tensorflow.op.linalg.BatchMatrixDiagPart.Inputs: The input input
input - Variable in class org.tensorflow.op.linalg.BatchMatrixInverse.Inputs: The input input
input - Variable in class org.tensorflow.op.linalg.BatchMatrixSetDiag.Inputs: The input input
input - Variable in class org.tensorflow.op.linalg.BatchSelfAdjointEig.Inputs: The input input
input - Variable in class org.tensorflow.op.linalg.BatchSvd.Inputs: The input input
input - Variable in class org.tensorflow.op.linalg.Cholesky.Inputs: Shape is [..., M, M].
input - Variable in class org.tensorflow.op.linalg.Det.Inputs: Shape is [..., M, M].
input - Variable in class org.tensorflow.op.linalg.Eig.Inputs: Tensor input of shape [N, N].
input - Variable in class org.tensorflow.op.linalg.EuclideanNorm.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.linalg.Inv.Inputs: Shape is [..., M, M].
input - Variable in class org.tensorflow.op.linalg.LogMatrixDeterminant.Inputs: Shape is [N, M, M].
input - Variable in class org.tensorflow.op.linalg.Lu.Inputs: A tensor of shape [..., M, M] whose inner-most 2 dimensions form matrices of size [M, M].
input - Variable in class org.tensorflow.op.linalg.MatrixDiagPart.Inputs: Rank r tensor where r >= 2.
input - Variable in class org.tensorflow.op.linalg.MatrixDiagPartV3.Inputs: Rank r tensor where r >= 2.
input - Variable in class org.tensorflow.op.linalg.MatrixLogarithm.Inputs: Shape is [..., M, M].
input - Variable in class org.tensorflow.op.linalg.MatrixSetDiag.Inputs: Rank r+1, where r >= 1.
input - Variable in class org.tensorflow.op.linalg.Qr.Inputs: A tensor of shape [..., M, N] whose inner-most 2 dimensions form matrices of size [M, N].
input - Variable in class org.tensorflow.op.linalg.SelfAdjointEig.Inputs: Tensor input of shape [N, N].
input - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixOrderingAMD.Inputs: A CSRSparseMatrix.
input - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseCholesky.Inputs: A CSRSparseMatrix.
input - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose.Inputs: A CSRSparseMatrix.
input - Variable in class org.tensorflow.op.linalg.Sqrtm.Inputs: Shape is [..., M, M].
input - Variable in class org.tensorflow.op.linalg.Svd.Inputs: A tensor of shape [..., M, N] whose inner-most 2 dimensions form matrices of size [M, N].
input - Variable in class org.tensorflow.op.linalg.TensorDiagPart.Inputs: Rank k tensor where k is even and not zero.
input - Variable in class org.tensorflow.op.math.Angle.Inputs: The input input
input - Variable in class org.tensorflow.op.math.ArgMax.Inputs: The input input
input - Variable in class org.tensorflow.op.math.ArgMin.Inputs: The input input
input - Variable in class org.tensorflow.op.math.Conj.Inputs: The input input
input - Variable in class org.tensorflow.op.math.DenseBincount.Inputs: 1D or 2D int Tensor.
input - Variable in class org.tensorflow.op.math.Imag.Inputs: The input input
input - Variable in class org.tensorflow.op.math.Mean.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.math.Real.Inputs: The input input
input - Variable in class org.tensorflow.op.math.RequantizationRangePerChannel.Inputs: The original input tensor.
input - Variable in class org.tensorflow.op.math.RequantizePerChannel.Inputs: The original input tensor.
input - Variable in class org.tensorflow.op.nn.AvgPool3d.Inputs: Shape [batch, depth, rows, cols, channels] tensor to pool over.
input - Variable in class org.tensorflow.op.nn.Conv2d.Inputs: A 4-D tensor.
input - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: 4-D with shape [batch, in_height, in_width, in_channels].
input - Variable in class org.tensorflow.op.nn.Conv3d.Inputs: Shape [batch, in_depth, in_height, in_width, in_channels].
input - Variable in class org.tensorflow.op.nn.Conv3dBackpropFilter.Inputs: Shape [batch, depth, rows, cols, in_channels].
input - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.DepthToSpace.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNative.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs: 4-D with shape based on data_format.
input - Variable in class org.tensorflow.op.nn.Dilation2d.Inputs: 4-D with shape [batch, in_height, in_width, depth].
input - Variable in class org.tensorflow.op.nn.Dilation2dBackpropFilter.Inputs: 4-D with shape [batch, in_height, in_width, depth].
input - Variable in class org.tensorflow.op.nn.Dilation2dBackpropInput.Inputs: 4-D with shape [batch, in_height, in_width, depth].
input - Variable in class org.tensorflow.op.nn.FusedPadConv2d.Inputs: 4-D with shape [batch, in_height, in_width, in_channels].
input - Variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs: 4-D with shape [batch, in_height, in_width, in_channels].
input - Variable in class org.tensorflow.op.nn.IsotonicRegression.Inputs: A (batch_size, dim)-tensor holding a batch of inputs.
input - Variable in class org.tensorflow.op.nn.LocalResponseNormalization.Inputs: 4-D.
input - Variable in class org.tensorflow.op.nn.MaxPool.Inputs: 4-D input to pool over.
input - Variable in class org.tensorflow.op.nn.MaxPool3d.Inputs: Shape [batch, depth, rows, cols, channels] tensor to pool over.
input - Variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs: The original input.
input - Variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs: The original input.
input - Variable in class org.tensorflow.op.nn.MaxPoolWithArgmax.Inputs: 4-D with shape [batch, height, width, channels].
input - Variable in class org.tensorflow.op.nn.NthElement.Inputs: 1-D or higher with last dimension at least n+1.
input - Variable in class org.tensorflow.op.nn.QuantizedAvgPool.Inputs: 4-D with shape [batch, height, width, channels].
input - Variable in class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The original input tensor.
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The original input tensor.
input - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The original input tensor.
input - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The original input tensor.
input - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The original input tensor.
input - Variable in class org.tensorflow.op.nn.QuantizedMaxPool.Inputs: The 4D (batch x rows x cols x depth) Tensor to MaxReduce over.
input - Variable in class org.tensorflow.op.nn.SpaceToBatch.Inputs: 4-D with shape [batch, height, width, depth].
input - Variable in class org.tensorflow.op.nn.SpaceToDepth.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.TopK.Inputs: 1-D or higher with last dimension at least k.
input - Variable in class org.tensorflow.op.quantization.Dequantize.Inputs: The input input
input - Variable in class org.tensorflow.op.quantization.Quantize.Inputs: The input input
input - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs: The input input
input - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs: The input input
input - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: Tensor to quantize and then dequantize.
input - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad.Inputs: The input input
input - Variable in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange.Inputs: The input input
input - Variable in class org.tensorflow.op.quantization.RequantizationRange.Inputs: The input input
input - Variable in class org.tensorflow.op.quantization.Requantize.Inputs: The input input
input - Variable in class org.tensorflow.op.risc.RiscBroadcast.Inputs: The input input
input - Variable in class org.tensorflow.op.risc.RiscCholesky.Inputs: The input input
input - Variable in class org.tensorflow.op.risc.RiscConv.Inputs: The input input
input - Variable in class org.tensorflow.op.risc.RiscFft.Inputs: The input input
input - Variable in class org.tensorflow.op.risc.RiscImag.Inputs: The input input
input - Variable in class org.tensorflow.op.risc.RiscPad.Inputs: The input input
input - Variable in class org.tensorflow.op.risc.RiscReal.Inputs: The input input
input - Variable in class org.tensorflow.op.risc.RiscShape.Inputs: The input input
input - Variable in class org.tensorflow.op.risc.RiscSlice.Inputs: The input input
input - Variable in class org.tensorflow.op.risc.RiscSort.Inputs: The input input
input - Variable in class org.tensorflow.op.risc.RiscSqueeze.Inputs: The input input
input - Variable in class org.tensorflow.op.risc.RiscWhile.Inputs: The input input
input - Variable in class org.tensorflow.op.signal.BatchFft.Inputs: The input input
input - Variable in class org.tensorflow.op.signal.BatchFft2d.Inputs: The input input
input - Variable in class org.tensorflow.op.signal.BatchFft3d.Inputs: The input input
input - Variable in class org.tensorflow.op.signal.BatchIfft.Inputs: The input input
input - Variable in class org.tensorflow.op.signal.BatchIfft2d.Inputs: The input input
input - Variable in class org.tensorflow.op.signal.BatchIfft3d.Inputs: The input input
input - Variable in class org.tensorflow.op.signal.Fft.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.Fft2d.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.Fft3d.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.Ifft.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.Ifft2d.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.Ifft3d.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.Irfft.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.Irfft2d.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.Irfft3d.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.Rfft.Inputs: A float32 tensor.
input - Variable in class org.tensorflow.op.signal.Rfft2d.Inputs: A float32 tensor.
input - Variable in class org.tensorflow.op.signal.Rfft3d.Inputs: A float32 tensor.
input - Variable in class org.tensorflow.op.strings.Lower.Inputs: The input to be lower-cased.
input - Variable in class org.tensorflow.op.strings.RegexFullMatch.Inputs: A string tensor of the text to be processed.
input - Variable in class org.tensorflow.op.strings.RegexReplace.Inputs: The text to be processed.
input - Variable in class org.tensorflow.op.strings.StaticRegexFullMatch.Inputs: A string tensor of the text to be processed.
input - Variable in class org.tensorflow.op.strings.StaticRegexReplace.Inputs: The text to be processed.
input - Variable in class org.tensorflow.op.strings.StringLength.Inputs: The strings for which to compute the length for each element.
input - Variable in class org.tensorflow.op.strings.StringSplit.Inputs: 1-D string Tensor, the strings to split.
input - Variable in class org.tensorflow.op.strings.Strip.Inputs: A string Tensor of any shape.
input - Variable in class org.tensorflow.op.strings.Substr.Inputs: Tensor of strings
input - Variable in class org.tensorflow.op.strings.ToHashBucketFast.Inputs: The strings to assign a hash bucket.
input - Variable in class org.tensorflow.op.strings.ToHashBucketStrong.Inputs: The strings to assign a hash bucket.
input - Variable in class org.tensorflow.op.strings.UnicodeDecode.Inputs: The text to be decoded.
input - Variable in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Inputs: The text to be decoded.
input - Variable in class org.tensorflow.op.strings.UnicodeScript.Inputs: A Tensor of int32 Unicode code points.
input - Variable in class org.tensorflow.op.strings.UnicodeTranscode.Inputs: The text to be processed.
input - Variable in class org.tensorflow.op.strings.Upper.Inputs: The input to be upper-cased.
input - Variable in class org.tensorflow.op.tpu.AllToAll.Inputs: The local input to the sum.
input - Variable in class org.tensorflow.op.tpu.CrossReplicaSum.Inputs: The local input to the sum.
input - Variable in class org.tensorflow.op.tpu.InfeedEnqueue.Inputs: A tensor that will be provided using the infeed mechanism.
input - Variable in class org.tensorflow.op.tpu.InfeedEnqueuePrelinearizedBuffer.Inputs: A variant tensor representing linearized output.
input - Variable in class org.tensorflow.op.tpu.OutfeedEnqueue.Inputs: A tensor that will be inserted into the outfeed queue.
input - Variable in class org.tensorflow.op.tpu.Prelinearize.Inputs: A tensor that will be linearized.
input - Variable in class org.tensorflow.op.tpu.ReplicatedOutput.Inputs: The input input
input - Variable in class org.tensorflow.op.tpu.TPUReplicatedOutput.Inputs: Deprecated.

The input input
input - Variable in class org.tensorflow.op.train.PreventGradient.Inputs: any tensor.
input - Variable in class org.tensorflow.op.train.SdcaFprint.Inputs: vector of strings to compute fingerprints on.
input - Variable in class org.tensorflow.op.train.SymbolicGradient.Inputs: a list of input tensors of size N + M;
input - Variable in class org.tensorflow.op.train.TileGrad.Inputs: The input input
input - Variable in class org.tensorflow.op.xla.AllReduce.Inputs: Array or a non-empty tuple of arrays to reduce across replicas.
input - Variable in class org.tensorflow.op.xla.ClusterOutput.Inputs: The input input
input - Variable in class org.tensorflow.op.xla.Dequantize.Inputs: Input tensors whose types is uint32, shape is [d0, ..., dn].
input - Variable in class org.tensorflow.op.xla.DynamicSlice.Inputs: A Tensor of type T.
input - Variable in class org.tensorflow.op.xla.DynamicUpdateSlice.Inputs: A Tensor of type T.
input - Variable in class org.tensorflow.op.xla.Pad.Inputs: A Tensor of type T.
input - Variable in class org.tensorflow.op.xla.Reduce.Inputs: the input tensor
input - Variable in class org.tensorflow.op.xla.ReduceScatter.Inputs: Array or a non-empty tuple of arrays to reduce across replicas.
input - Variable in class org.tensorflow.op.xla.ReduceWindow.Inputs: the input tensor
input - Variable in class org.tensorflow.op.xla.RemoveDynamicDimensionSize.Inputs: The input input
input - Variable in class org.tensorflow.op.xla.SetDynamicDimensionSize.Inputs: The input input
input - Variable in class org.tensorflow.op.xla.Sharding.Inputs: The input input
input - Variable in class org.tensorflow.op.xla.Sort.Inputs: A Tensor of type T.
input - Variable in class org.tensorflow.op.xla.SplitND.Inputs: Input tensor to split across all dimensions.
input - Variable in class org.tensorflow.op.xla.SpmdFullToShardShape.Inputs: The input input
input - Variable in class org.tensorflow.op.xla.SpmdShardToFullShape.Inputs: The input input
input - Variable in class org.tensorflow.op.xla.While.Inputs: A list of input tensors whose types are T.
input - Variable in class org.tensorflow.op.xla.XlaSendToHost.Inputs: The input input
input - Variable in class org.tensorflow.op.xla.XlaSetBound.Inputs: The input input
input(String, Operand<?>) - Method in class org.tensorflow.Signature.Builder: Register a tensor as an input of the function.
INPUT_ARG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef
INPUT_COUNT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferNodeInfo
INPUT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NodeDef
INPUT_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CostGraphDef.Node
INPUT_NAMES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.GraphOpCreation
INPUT_PROCESSING_TIME_COUNT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto.Node
INPUT_PROCESSING_TIME_SUM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto.Node
INPUT_SIGNATURE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.FunctionSpec
INPUT_TENSOR_IDS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.Execution
inputA - Variable in class org.tensorflow.op.core.TensorListConcatLists.Inputs: The inputA input
inputB - Variable in class org.tensorflow.op.core.TensorListConcatLists.Inputs: The inputB input
inputBackprop() - Method in class org.tensorflow.op.nn.CudnnRNNBackprop: Gets inputBackprop.
inputBackprop() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad: Gets inputBackprop.
inputBytes - Variable in class org.tensorflow.op.io.DecodePaddedRaw.Inputs: Tensor of string to be decoded.
inputC - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The inputC input
inputC - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The inputC input
inputCBackprop() - Method in class org.tensorflow.op.nn.CudnnRNNBackprop: Gets inputCBackprop.
inputDataset - Variable in class org.tensorflow.op.core.GetOptions.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.AssertCardinalityDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.AssertNextDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.AutoShardDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.BatchDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.BytesProducedStatsDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.CacheDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ConcatenateDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.DatasetCardinality.Inputs: A variant tensor representing the dataset to return cardinality for.
inputDataset - Variable in class org.tensorflow.op.data.DatasetToGraph.Inputs: A variant tensor representing the dataset to return the graph representation for.
inputDataset - Variable in class org.tensorflow.op.data.DatasetToTfRecord.Inputs: A variant tensor representing the dataset to write.
inputDataset - Variable in class org.tensorflow.op.data.DenseToSparseBatchDataset.Inputs: A handle to an input dataset.
inputDataset - Variable in class org.tensorflow.op.data.experimental.AssertNextDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.AutoShardDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.experimental.BytesProducedStatsDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.DatasetCardinality.Inputs: A variant tensor representing the dataset to return cardinality for.
inputDataset - Variable in class org.tensorflow.op.data.experimental.DatasetToTFRecord.Inputs: A variant tensor representing the dataset to write.
inputDataset - Variable in class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset.Inputs: A handle to an input dataset.
inputDataset - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.LatencyStatsDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.experimental.MapDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.NonSerializableDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.RebatchDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.experimental.ScanDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.SleepDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.SlidingWindowDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.TakeWhileDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.ThreadPoolDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.UnbatchDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.UniqueDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.FilterByLastComponentDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.FilterDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.FinalizeDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.FlatMapDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.IgnoreErrorsDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.InterleaveDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.LatencyStatsDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.MapDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.MaxIntraOpParallelismDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ModelDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.NonSerializableDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.OptimizeDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.OptionsDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.PaddedBatchDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ParallelBatchDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: Dataset that produces a stream of arguments for the function f.
inputDataset - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.PrefetchDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.PrivateThreadPoolDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.RebatchDatasetV2.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.ReduceDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.RepeatDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.SamplingDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.SaveDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.SetStatsAggregatorDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ShardDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ShuffleDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.SkipDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.SleepDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.SlidingWindowDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.TakeDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.TakeWhileDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ThreadPoolDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.UnbatchDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.UniqueDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.WindowDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.train.ComputeBatchSize.Inputs: The inputDataset input
inputDatasets - Variable in class org.tensorflow.op.data.ChooseFastestDataset.Inputs: The inputDatasets input
inputDatasets - Variable in class org.tensorflow.op.data.experimental.ChooseFastestDataset.Inputs: The inputDatasets input
inputDatasets - Variable in class org.tensorflow.op.data.ZipDataset.Inputs: List of N variant Tensors representing datasets to be zipped together.
inputEncoding - Variable in class org.tensorflow.op.strings.UnicodeDecode.Inputs: Text encoding of the input strings.
inputEncoding - Variable in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Inputs: Text encoding of the input strings.
inputEncoding - Variable in class org.tensorflow.op.strings.UnicodeTranscode.Inputs: Text encoding of the input strings.
inputFalse - Variable in class org.tensorflow.op.risc.RiscCondition.Inputs: The inputFalse input
inputGrads - Variable in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Inputs: 4-D with shape [batch, height, width, channels].
inputH - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The inputH input
inputH - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The inputH input
inputHandle - Variable in class org.tensorflow.op.core.TensorListConcat.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListElementShape.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListGather.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListGetItem.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListLength.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListPopBack.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListPushBack.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListResize.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListScatterIntoExistingList.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListSetItem.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListStack.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorMapErase.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorMapHasKey.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorMapInsert.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorMapLookup.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorMapSize.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorMapStackKeys.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.data.UnwrapDatasetVariant.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.data.WrapDatasetVariant.Inputs: The inputHandle input
inputHandles - Variable in class org.tensorflow.op.core.TensorListPushBackBatch.Inputs: The inputHandles input
inputHBackprop() - Method in class org.tensorflow.op.nn.CudnnRNNBackprop: Gets inputHBackprop.
inputImage - Variable in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Inputs: 4-D with shape [batch, height, width, channels].
inputIndices - Variable in class org.tensorflow.op.sparse.SparseReduceMax.Inputs: 2-D.
inputIndices - Variable in class org.tensorflow.op.sparse.SparseReduceMaxSparse.Inputs: 2-D.
inputIndices - Variable in class org.tensorflow.op.sparse.SparseReduceSum.Inputs: 2-D.
inputIndices - Variable in class org.tensorflow.op.sparse.SparseReduceSumSparse.Inputs: 2-D.
inputIndices - Variable in class org.tensorflow.op.sparse.SparseReorder.Inputs: 2-D.
inputIndices - Variable in class org.tensorflow.op.sparse.SparseReshape.Inputs: 2-D.
inputIndices - Variable in class org.tensorflow.op.sparse.SparseSliceGrad.Inputs: 2-D.
inputList(int, int) - Method in class org.tensorflow.GraphOperation: Get the input list that starts at idx and has length length
inputListLength(String) - Method in class org.tensorflow.GraphOperation
inputListLength(String) - Method in interface org.tensorflow.Operation: Returns the size of the given inputs list of Tensors for this operation.
inputMax - Variable in class org.tensorflow.op.core.QuantizedReshape.Inputs: The maximum value of the input.
inputMax - Variable in class org.tensorflow.op.math.RequantizationRangePerChannel.Inputs: The maximum value of the input tensor.
inputMax - Variable in class org.tensorflow.op.math.RequantizePerChannel.Inputs: The maximum value of the input tensor.
inputMax - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs: The inputMax input
inputMax - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs: The inputMax input
inputMax - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: If range_given == True, this specifies the maximum input value that needs to be represented, otherwise it is determined from the max value of the input tensor.
inputMax - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad.Inputs: The inputMax input
inputMax - Variable in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange.Inputs: The float value that the maximum quantized input value represents.
inputMax - Variable in class org.tensorflow.op.quantization.RequantizationRange.Inputs: The float value that the maximum quantized input value represents.
inputMax - Variable in class org.tensorflow.op.quantization.Requantize.Inputs: The float value that the maximum quantized input value represents.
inputMaxBackprop() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad: Gets inputMaxBackprop.
inputMaxes - Variable in class org.tensorflow.op.quantization.QuantizedConcat.Inputs: The maximum scalar values for each of the input tensors.
inputMin - Variable in class org.tensorflow.op.core.QuantizedReshape.Inputs: The minimum value of the input.
inputMin - Variable in class org.tensorflow.op.math.RequantizationRangePerChannel.Inputs: The minimum value of the input tensor
inputMin - Variable in class org.tensorflow.op.math.RequantizePerChannel.Inputs: The minimum value of the input tensor
inputMin - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs: The inputMin input
inputMin - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs: The inputMin input
inputMin - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: If range_given == True, this specifies the minimum input value that needs to be represented, otherwise it is determined from the min value of the input tensor.
inputMin - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad.Inputs: The inputMin input
inputMin - Variable in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange.Inputs: The float value that the minimum quantized input value represents.
inputMin - Variable in class org.tensorflow.op.quantization.RequantizationRange.Inputs: The float value that the minimum quantized input value represents.
inputMin - Variable in class org.tensorflow.op.quantization.Requantize.Inputs: The float value that the minimum quantized input value represents.
inputMinBackprop() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad: Gets inputMinBackprop.
inputMins - Variable in class org.tensorflow.op.quantization.QuantizedConcat.Inputs: The minimum scalar values for each of the input tensors.
inputMode(String) - Static method in class org.tensorflow.op.nn.CudnnRNN: Sets the inputMode option.
inputMode - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The inputMode attribute
inputMode(String) - Method in class org.tensorflow.op.nn.CudnnRNN.Options: Sets the inputMode option.
inputMode(String) - Static method in class org.tensorflow.op.nn.CudnnRNNBackprop: Sets the inputMode option.
inputMode - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The inputMode attribute
inputMode(String) - Method in class org.tensorflow.op.nn.CudnnRNNBackprop.Options: Sets the inputMode option.
inputMode(String) - Static method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: Sets the inputMode option.
inputMode - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The inputMode attribute
inputMode(String) - Method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Options: Sets the inputMode option.
inputMode(String) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize: Sets the inputMode option.
inputMode - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The inputMode attribute
inputMode(String) - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize.Options: Sets the inputMode option.
inputMode(String) - Static method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Sets the inputMode option.
inputMode - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The inputMode attribute
inputMode(String) - Method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Options: Sets the inputMode option.
inputNames() - Method in class org.tensorflow.Signature: Returns the names of the inputs in this signature
inputOrder - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: String specifying the tensor type for each input.
inputQuantMode(String) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias: Sets the inputQuantMode option.
inputQuantMode - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: Input data quantization mode.
inputQuantMode(String) - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Options: Sets the inputQuantMode option.
inputQuantMode(String) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu: Sets the inputQuantMode option.
inputQuantMode - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: Input data quantization mode.
inputQuantMode(String) - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Options: Sets the inputQuantMode option.
inputQuantMode(String) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize: Sets the inputQuantMode option.
inputQuantMode - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: Input data quantization mode.
inputQuantMode(String) - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Options: Sets the inputQuantMode option.
inputQuantMode(String) - Static method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize: Sets the inputQuantMode option.
inputQuantMode - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The inputQuantMode attribute
inputQuantMode(String) - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Options: Sets the inputQuantMode option.
inputQuantMode(String) - Static method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize: Sets the inputQuantMode option.
inputQuantMode - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The inputQuantMode attribute
inputQuantMode(String) - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Options: Sets the inputQuantMode option.
inputRaggedRank - Variable in class org.tensorflow.op.ragged.RaggedTensorFromVariant.Inputs: The ragged rank of each encoded `RaggedTensor` component in the input.
inputs() - Method in class org.tensorflow.GraphOperation: Get the op's inputs, not including control inputs.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.audio.AudioSpectrogram.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.audio.DecodeWav.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.audio.EncodeWav.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.audio.Mfcc.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.bitwise.BitwiseAnd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.bitwise.BitwiseOr.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.bitwise.BitwiseXor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.bitwise.Invert.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.bitwise.LeftShift.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.bitwise.RightShift.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.cluster.KMC2ChainInitialization.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.cluster.KmeansPlusPlusInitialization.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.collective.CollectiveAllToAll.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.collective.CollectiveBcastRecv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.collective.CollectiveBcastSend.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.collective.CollectiveGather.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.collective.CollectiveInitializeCommunicator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.collective.CollectivePermute.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.collective.CollectiveReduce.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Abort.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.All.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.AnonymousHashTable.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Any.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.AssertThat.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Assign.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.AssignAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.AssignAddVariableOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.AssignSub.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.AssignSubVariableOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.AssignVariableOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Barrier.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BarrierClose.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BarrierIncompleteSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BarrierInsertMany.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BarrierReadySize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BarrierTakeMany.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Batch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BatchFunction.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BatchToSpace.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BatchToSpaceNd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Bitcast.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BroadcastDynamicShape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BroadcastGradientArgs.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BroadcastTo.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Bucketize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ClipByValue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.CompositeTensorVariantFromComponents.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.CompositeTensorVariantToComponents.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Concat.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ConsumeMutexLock.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ControlTrigger.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Copy.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.CopyHost.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.CountUpTo.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.DecodeProto.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.DeepCopy.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.DeleteSessionTensor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.DestroyResourceOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.DestroyTemporaryVariable.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.DeviceIndex.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.DummyMemoryCache.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.DynamicPartition.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.DynamicStitch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.EditDistance.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Empty.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.EmptyTensorList.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.EmptyTensorMap.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.EncodeProto.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.EnsureShape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Enter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Exit.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ExpandDims.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ExtractVolumePatches.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Fill.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Fingerprint.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.For.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Gather.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.GatherNd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.GetElementAtIndex.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.GetOptions.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.GetSessionHandle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.GetSessionTensor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.GuaranteeConst.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.HashTable.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.HistogramFixedWidth.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Identity.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.IdentityN.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ImmutableConst.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.InitializeTable.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.InitializeTableFromTextFile.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.InplaceAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.InplaceSub.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.InplaceUpdate.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.IsVariableInitialized.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.KthOrderStatistic.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.LinSpace.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.LookupTableExport.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.LookupTableFind.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.LookupTableImport.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.LookupTableInsert.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.LookupTableRemove.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.LookupTableSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.LoopCond.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.LowerBound.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MakeUnique.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MapClear.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MapDefun.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MapIncompleteSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MapPeek.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MapSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MapStage.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MapUnstage.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MapUnstageNoKey.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Max.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Merge.Inputs
inputs - Variable in class org.tensorflow.op.core.Merge.Inputs: The input tensors, exactly one of which will become available.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Min.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MirrorPad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MirrorPadGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MlirPassthroughOp.Inputs
inputs - Variable in class org.tensorflow.op.core.MlirPassthroughOp.Inputs: The inputs input
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MutableDenseHashTable.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MutableHashTable.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MutableHashTableOfTensors.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Mutex.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MutexLock.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.NcclAllReduce.Inputs: Deprecated.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.NcclBroadcast.Inputs: Deprecated.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.NcclReduce.Inputs: Deprecated.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.NextIteration.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.NoOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.OneHot.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.OnesLike.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.OrderedMapClear.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.OrderedMapIncompleteSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.OrderedMapPeek.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.OrderedMapSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.OrderedMapStage.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.OrderedMapUnstage.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.OrderedMapUnstageNoKey.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Pad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ParallelConcat.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ParallelDynamicStitch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Placeholder.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.PlaceholderWithDefault.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Print.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Prod.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.QuantizedReshape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Range.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Rank.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ReadVariableOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Recv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ReduceAll.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ReduceAny.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ReduceMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ReduceMin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ReduceProd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ReduceSum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.RefEnter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.RefExit.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.RefIdentity.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.RefMerge.Inputs
inputs - Variable in class org.tensorflow.op.core.RefMerge.Inputs: The input tensors, exactly one of which will become available.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.RefNextIteration.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.RefSelect.Inputs
inputs - Variable in class org.tensorflow.op.core.RefSelect.Inputs: A list of ref tensors, one of which will be forwarded to output.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.RefSwitch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.RemoteCall.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Reshape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceCountUpTo.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceGather.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceGatherNd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterDiv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterMin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdMin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdSub.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdUpdate.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterSub.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterUpdate.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Reverse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ReverseSequence.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Roll.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterDiv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterMin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterNd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterNdAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterNdMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterNdMin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterNdNonAliasingAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterNdSub.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterNdUpdate.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterSub.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterUpdate.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Select.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Send.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.SetDiff1d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.SetSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Shape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ShapeN.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Size.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Skipgram.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Slice.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Snapshot.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.SpaceToBatchNd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Split.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.SplitV.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Squeeze.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Stack.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Stage.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StageClear.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StagePeek.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StageSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StatefulCase.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StatefulIf.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StatefulPartitionedCall.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StatefulWhile.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StatelessCase.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StatelessIf.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StatelessPartitionedCall.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StatelessWhile.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StopGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StridedSlice.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StridedSliceAssign.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StridedSliceGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Sum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.SwitchCond.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TemporaryVariable.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArray.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayClose.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayConcat.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayGather.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayGradWithShape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayPack.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayRead.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayScatter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArraySize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArraySplit.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayUnpack.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayWrite.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListConcat.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListConcatLists.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListElementShape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListFromTensor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListGather.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListGetItem.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListLength.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListPopBack.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListPushBack.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListPushBackBatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListReserve.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListResize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListScatter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListScatterIntoExistingList.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListSetItem.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListSplit.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListStack.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorMapErase.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorMapHasKey.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorMapInsert.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorMapLookup.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorMapSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorMapStackKeys.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorScatterNdAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorScatterNdMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorScatterNdMin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorScatterNdSub.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorScatterNdUpdate.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Tile.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Timestamp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TopKUnique.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TopKWithUnique.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Unbatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.UnbatchGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Unique.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.UniqueWithCounts.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.UnravelIndex.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Unstack.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Unstage.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.UpperBound.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.VarHandleOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Variable.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.VariableShape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.VarIsInitializedOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Where.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ZerosLike.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.AnonymousIterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.AnonymousMemoryCache.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.AnonymousMultiDeviceIterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.AssertCardinalityDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.AssertNextDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.AutoShardDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.BatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.BytesProducedStatsDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.CacheDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ChooseFastestDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.CompressElement.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ConcatenateDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.CSVDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DataServiceDatasetV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DatasetCardinality.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DatasetFromGraph.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DatasetToGraph.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DatasetToSingleElement.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DatasetToTfRecord.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DeleteIterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DeleteMemoryCache.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DeleteMultiDeviceIterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DenseToSparseBatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DeserializeIterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DirectedInterleaveDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DummyIterationCounter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.AssertNextDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.AutoShardDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.BytesProducedStatsDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.ChooseFastestDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.CSVDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.DatasetCardinality.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.DatasetToTFRecord.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.DirectedInterleaveDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.IgnoreErrorsDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.IteratorGetDevice.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.LatencyStatsDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.LmdbDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.MapDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.MatchingFilesDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.NonSerializableDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.RandomDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.RebatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.ScanDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.SleepDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.SlidingWindowDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.SqlDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.StatsAggregatorHandle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.StatsAggregatorSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.TakeWhileDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.ThreadPoolDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.ThreadPoolHandle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.UnbatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.UniqueDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.FilterByLastComponentDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.FilterDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.FinalizeDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.FixedLengthRecordDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.FlatMapDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.GeneratorDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.GroupByReducerDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.GroupByWindowDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.IgnoreErrorsDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.InitializeTableFromDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.InterleaveDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.Iterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.IteratorFromStringHandle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.IteratorGetDevice.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.IteratorGetNext.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.IteratorGetNextAsOptional.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.IteratorGetNextSync.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.IteratorToStringHandle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.LatencyStatsDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.LeakyReluGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.LMDBDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.LoadDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MakeIterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MapAndBatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MapDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MatchingFilesDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MaxIntraOpParallelismDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ModelDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MultiDeviceIterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MultiDeviceIteratorInit.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MultiDeviceIteratorToStringHandle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.NonSerializableDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.OneShotIterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.OptimizeDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.OptionalFromValue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.OptionalGetValue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.OptionalHasValue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.OptionalNone.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.OptionsDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.PaddedBatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ParallelBatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ParallelMapDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ParseExampleDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.PrefetchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.PrivateThreadPoolDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.RandomDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.RangeDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.RebatchDatasetV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ReduceDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.RegisterDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.RepeatDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SamplingDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SaveDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ScanDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SerializeIterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SetStatsAggregatorDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ShardDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ShuffleDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SkipDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SleepDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SlidingWindowDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SnapshotDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SnapshotDatasetReader.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SnapshotNestedDatasetReader.Inputs
inputs - Variable in class org.tensorflow.op.data.SnapshotNestedDatasetReader.Inputs: The inputs input
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SparseTensorSliceDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SqlDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.StatsAggregatorHandle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.StatsAggregatorSetSummaryWriter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.TakeDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.TakeWhileDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.TensorDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.TensorSliceDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.TextLineDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.TfRecordDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ThreadPoolDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ThreadPoolHandle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.UnbatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.UncompressElement.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.UniqueDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.UnwrapDatasetVariant.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.WindowDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.WindowOp.Inputs
inputs - Variable in class org.tensorflow.op.data.WindowOp.Inputs: The inputs input
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.WrapDatasetVariant.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ZipDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.debugging.CheckNumerics.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.debugging.DebugGradientIdentity.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.debugging.DebugGradientRefIdentity.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.debugging.DebugIdentity.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.debugging.DebugNanCount.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.debugging.DebugNumericsSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.distribute.NcclAllReduce.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.distribute.NcclBroadcast.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.distribute.NcclReduce.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.dtypes.AsString.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.dtypes.Cast.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.dtypes.Complex.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.dtypes.ToBool.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesAggregateStats.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesBucketize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplit.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplitV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesCalculateBestGainsPerFeature.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesCenterBias.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesCreateEnsemble.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesCreateQuantileStreamResource.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesDeserializeEnsemble.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesEnsembleResourceHandleOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesExampleDebugOutputs.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesFlushQuantileSummaries.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesGetEnsembleStates.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesMakeQuantileSummaries.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesMakeStatsSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesPredict.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceAddSummaries.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceDeserialize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceFlush.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceGetBucketBoundaries.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceHandleOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesSerializeEnsemble.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesSparseAggregateStats.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesSparseCalculateBestFeatureSplit.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesTrainingPredict.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesUpdateEnsemble.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.BoostedTreesUpdateEnsembleV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.IsBoostedTreesEnsembleInitialized.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.estimator.IsBoostedTreesQuantileStreamResourceInitialized.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.AdjustContrast.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.AdjustHue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.AdjustSaturation.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.CombinedNonMaxSuppression.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.CropAndResize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.CropAndResizeGradBoxes.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.CropAndResizeGradImage.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.DecodeAndCropJpeg.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.DecodeBmp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.DecodeGif.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.DecodeImage.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.DecodeJpeg.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.DecodePng.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.DrawBoundingBoxes.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.EncodeJpeg.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.EncodeJpegVariableQuality.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.EncodePng.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ExtractGlimpse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ExtractImagePatches.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ExtractJpegShape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.GenerateBoundingBoxProposals.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.HsvToRgb.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ImageProjectiveTransformV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ImageProjectiveTransformV3.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.NearestNeighbors.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.NonMaxSuppression.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.QuantizedResizeBilinear.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.RandomCrop.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ResizeArea.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ResizeBicubic.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ResizeBicubicGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ResizeBilinear.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ResizeBilinearGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ResizeNearestNeighbor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ResizeNearestNeighborGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.RgbToHsv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ScaleAndTranslate.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ScaleAndTranslateGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.DecodeBase64.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.DecodeCompressed.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.DecodeCsv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.DecodeJsonExample.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.DecodePaddedRaw.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.DecodeRaw.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.DeserializeManySparse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.EncodeBase64.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.FifoQueue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.FixedLengthRecordReader.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.IdentityReader.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.LmdbReader.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.MatchingFiles.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.PaddingFifoQueue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ParseExample.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ParseSequenceExample.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ParseSingleExample.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ParseTensor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.PriorityQueue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.QueueClose.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.QueueDequeue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.QueueDequeueMany.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.QueueDequeueUpTo.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.QueueEnqueue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.QueueEnqueueMany.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.QueueIsClosed.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.QueueSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.RandomShuffleQueue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ReaderNumRecordsProduced.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ReaderNumWorkUnitsCompleted.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ReaderRead.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ReaderReadUpTo.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ReaderReset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ReaderRestoreState.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ReaderSerializeState.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ReadFile.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.SerializeManySparse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.SerializeSparse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.SerializeTensor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ShardedFilename.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ShardedFilespec.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.TextLineReader.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.TfRecordReader.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.WholeFileReader.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.WriteFile.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BandedTriangularSolve.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BandPart.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchCholesky.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchCholeskyGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixBandPart.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixDeterminant.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixDiag.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixDiagPart.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixInverse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixSetDiag.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixSolve.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixSolveLs.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixTriangularSolve.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchSelfAdjointEig.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchSvd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Cholesky.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.CholeskyGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.ConjugateTranspose.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Cross.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Det.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Eig.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Einsum.Inputs
inputs - Variable in class org.tensorflow.op.linalg.Einsum.Inputs: List of 1 or 2 Tensors.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.EuclideanNorm.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Inv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.LoadAndRemapMatrix.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.LogMatrixDeterminant.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Lu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.MatMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.MatrixDiag.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.MatrixDiagPart.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.MatrixDiagPartV3.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.MatrixDiagV3.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.MatrixLogarithm.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.MatrixSetDiag.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.MatrixSolveLs.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Qr.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.QuantizedMatMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.SelfAdjointEig.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Solve.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToDense.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToSparseTensor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.DenseToCSRSparseMatrix.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixNNZ.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixOrderingAMD.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmaxGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixSparseCholesky.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixZeros.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Sqrtm.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Svd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.TensorDiag.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.TensorDiagPart.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Transpose.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.TriangularSolve.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.TridiagonalMatMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.TridiagonalSolve.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Abs.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.AccumulateN.Inputs
inputs - Variable in class org.tensorflow.op.math.AccumulateN.Inputs: A list of Tensor objects, each with same shape and type.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Acos.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Acosh.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Add.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.AddN.Inputs
inputs - Variable in class org.tensorflow.op.math.AddN.Inputs: The inputs input
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Angle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.ApproximateEqual.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.ArgMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.ArgMin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Asin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Asinh.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Atan.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Atan2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Atanh.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.BesselI0.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.BesselI0e.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.BesselI1.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.BesselI1e.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Betainc.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Bincount.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Ceil.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.ComplexAbs.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Conj.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Cos.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Cosh.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Cumprod.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Cumsum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.CumulativeLogsumexp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.DenseBincount.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Digamma.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Div.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.DivNoNan.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Equal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Erf.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Erfc.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.erfinv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Exp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Expm1.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Fact.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Floor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.FloorDiv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.FloorMod.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Greater.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.GreaterEqual.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Igamma.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Igammac.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.IgammaGradA.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Imag.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.InvertPermutation.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.IsFinite.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.IsInf.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.IsNan.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Less.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.LessEqual.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Lgamma.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Log.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Log1p.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.LogicalAnd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.LogicalNot.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.LogicalOr.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Maximum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Mean.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Minimum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Mod.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Mul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.MulNoNan.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Ndtri.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Neg.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.NextAfter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.NotEqual.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Polygamma.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.PopulationCount.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Pow.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.QuantizedAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.QuantizedMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Real.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.RealDiv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Reciprocal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.ReciprocalGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.RequantizationRangePerChannel.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.RequantizePerChannel.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Rint.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Round.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Rsqrt.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.RsqrtGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SegmentMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SegmentMean.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SegmentMin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SegmentProd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SegmentSum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Sigmoid.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SigmoidGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Sign.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Sin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Sinh.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SobolSample.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Softplus.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SoftplusGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.BesselJ0.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.BesselJ1.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.BesselK0.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.BesselK0e.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.BesselK1.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.BesselK1e.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.BesselY0.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.BesselY1.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.Dawsn.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.Expint.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.FresnelCos.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.FresnelSin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.Spence.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Sqrt.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SqrtGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Square.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SquaredDifference.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Sub.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Tan.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Tanh.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.TanhGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.TruncateDiv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.TruncateMod.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.UnsortedSegmentMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.UnsortedSegmentMin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.UnsortedSegmentProd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.UnsortedSegmentSum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Xdivy.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Xlog1py.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Xlogy.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Zeta.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.AvgPool.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.AvgPool3d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.AvgPool3dGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.AvgPoolGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.BatchNormWithGlobalNormalization.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.BiasAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.BiasAddGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.BlockLSTM.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.BlockLSTMGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.ComputeAccidentalHits.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Conv2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Conv3d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Conv3dBackpropFilter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.CtcBeamSearchDecoder.Inputs
inputs - Variable in class org.tensorflow.op.nn.CtcBeamSearchDecoder.Inputs: 3-D, shape: (max_time x batch_size x num_classes), the logits.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.CtcGreedyDecoder.Inputs
inputs - Variable in class org.tensorflow.op.nn.CtcGreedyDecoder.Inputs: 3-D, shape: (max_time x batch_size x num_classes), the logits.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.CtcLoss.Inputs
inputs - Variable in class org.tensorflow.op.nn.CtcLoss.Inputs: 3-D, shape: (max_time x batch_size x num_classes), the logits.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.CTCLossV2.Inputs
inputs - Variable in class org.tensorflow.op.nn.CTCLossV2.Inputs: 3-D, shape: (max_time x batch_size x num_classes), the logits.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.CudnnRNN.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.DataFormatDimMap.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.DataFormatVecPermute.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.DepthToSpace.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.DepthwiseConv2dNative.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Dilation2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Dilation2dBackpropFilter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Dilation2dBackpropInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Elu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.EluGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.FractionalAvgPool.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.FractionalAvgPoolGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.FractionalMaxPool.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.FractionalMaxPoolGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.FusedBatchNorm.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.FusedPadConv2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.GRUBlockCell.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.InTopK.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.InvGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.IsotonicRegression.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.L2Loss.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.LeakyRelu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.LocalResponseNormalization.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.LogSoftmax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.LSTMBlockCell.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.MaxPool.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.MaxPool3d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.MaxPool3dGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.MaxPool3dGradGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.MaxPoolGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.MaxPoolGradGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.MaxPoolWithArgmax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.NthElement.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedAvgPool.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedMaxPool.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedRelu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedRelu6.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedReluX.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Relu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Relu6.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Relu6Grad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.ReluGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Selu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.SeluGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Softmax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Softsign.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.SoftsignGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.SpaceToBatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.SpaceToDepth.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.TopK.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.Dequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Inputs
inputs - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Inputs: The inputs input
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Inputs
inputs - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Inputs: Values passed as inputs to the FakeQuantWithMinMaxArgs operation.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars.Inputs
inputs - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars.Inputs: The inputs input
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Inputs
inputs - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Inputs: Values passed as inputs to the FakeQuantWithMinMaxVars operation.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel.Inputs
inputs - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel.Inputs: The inputs input
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Inputs
inputs - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Inputs: Values passed as inputs to the FakeQuantWithMinMaxVars operation, shape same as gradients.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.Quantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.QuantizedConcat.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.RequantizationRange.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.Requantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedBincount.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedCountSparseOutput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedCross.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedGather.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedRange.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorFromVariant.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorToSparse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorToTensor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorToVariant.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorToVariantGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.AllCandidateSampler.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.AnonymousRandomSeedGenerator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.AnonymousSeedGenerator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.DeleteRandomSeedGenerator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.DeleteSeedGenerator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.DummySeedGenerator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.LogUniformCandidateSampler.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.Multinomial.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.NonDeterministicInts.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RandomGamma.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RandomGammaGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RandomPoisson.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RandomShuffle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RandomStandardNormal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RandomUniform.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RandomUniformInt.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RecordInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RngReadAndSkip.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RngSkip.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatefulRandomBinomial.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatefulStandardNormal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatefulTruncatedNormal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatefulUniform.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatefulUniformFullInt.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatefulUniformInt.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessMultinomial.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomBinomial.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomGamma.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomGetAlg.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomGetKeyCounter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomGetKeyCounterAlg.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomNormal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomNormalV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomPoisson.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniform.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformFullInt.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformFullIntV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformInt.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformIntV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessTruncatedNormal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessTruncatedNormalV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.TruncatedNormal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.UniformCandidateSampler.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscAbs.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscBinaryArithmetic.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscBinaryComparison.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscBitcast.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscBroadcast.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscCast.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscCeil.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscCholesky.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscConcat.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscCondition.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscConv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscCos.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscDiv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscDot.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscExp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscFft.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscFloor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscGather.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscImag.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscIsFinite.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscLog.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscLogicalAnd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscLogicalNot.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscLogicalOr.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscMin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscNeg.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscPad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscPool.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscPow.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscRandomUniform.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscReal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscReduce.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscRem.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscReshape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscReverse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscScatter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscShape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscSign.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscSlice.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscSort.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscSqueeze.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscSub.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscTranspose.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscTriangularSolve.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscUnary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.risc.RiscWhile.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.BatchFft.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.BatchFft2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.BatchFft3d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.BatchIfft.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.BatchIfft2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.BatchIfft3d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Fft.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Fft2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Fft3d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Ifft.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Ifft2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Ifft3d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Irfft.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Irfft2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Irfft3d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Rfft.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Rfft2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Rfft3d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.AddSparseToTensorsMap.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.DenseCountSparseOutput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.DenseToDenseSetOperation.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.DenseToSparseSetOperation.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.DeserializeSparse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseAddGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseBincount.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseConcat.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseConditionalAccumulator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseCross.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseCrossHashed.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseDenseCwiseAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseDenseCwiseDiv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseDenseCwiseMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseFillEmptyRows.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseMatMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseReduceMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseReduceMaxSparse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseReduceSum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseReduceSumSparse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseReorder.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseReshape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentMean.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentMeanGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSqrtN.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSumGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSlice.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSliceGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSoftmax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSparseMaximum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSparseMinimum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSplit.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseTensorDenseAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseToDense.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.Join.Inputs
inputs - Variable in class org.tensorflow.op.strings.Join.Inputs: A list of string tensors.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.Lower.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.ReduceJoin.Inputs
inputs - Variable in class org.tensorflow.op.strings.ReduceJoin.Inputs: The input to be joined.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.RegexFullMatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.RegexReplace.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.StaticRegexFullMatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.StaticRegexReplace.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.StringFormat.Inputs
inputs - Variable in class org.tensorflow.op.strings.StringFormat.Inputs: The list of tensors to format into the placeholder string.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.StringLength.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.StringNGrams.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.StringSplit.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.Strip.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.Substr.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.ToHashBucket.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.ToHashBucketFast.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.ToHashBucketStrong.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.ToNumber.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.UnicodeDecode.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.UnicodeEncode.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.UnicodeScript.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.UnicodeTranscode.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.UnsortedSegmentJoin.Inputs
inputs - Variable in class org.tensorflow.op.strings.UnsortedSegmentJoin.Inputs: The input to be joined.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.Upper.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.AudioSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.CloseSummaryWriter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.CreateSummaryDbWriter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.CreateSummaryFileWriter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.FlushSummaryWriter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.HistogramSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.ImageSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.ImportEvent.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.MergeSummary.Inputs
inputs - Variable in class org.tensorflow.op.summary.MergeSummary.Inputs: Can be of any shape.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.ScalarSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.StatsAggregatorSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.SummaryWriter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.TensorSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.WriteAudioSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.WriteGraphSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.WriteHistogramSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.WriteImageSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.WriteRawProtoSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.WriteScalarSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.WriteSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.AllToAll.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.CompilationResult.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.Compile.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.CompileSucceededAssert.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ConfigureDistributedTPU.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ConfigureTPUEmbedding.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.CrossReplicaSum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.EmbeddingActivations.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingIntegerBatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.Execute.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ExecuteAndUpdateVariables.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.InfeedDequeue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.InfeedDequeueTuple.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.InfeedEnqueue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.InfeedEnqueuePrelinearizedBuffer.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.InfeedEnqueueTuple.Inputs
inputs - Variable in class org.tensorflow.op.tpu.InfeedEnqueueTuple.Inputs: A list of tensors that will be provided using the infeed mechanism.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.IsTPUEmbeddingInitialized.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.OrdinalSelector.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.OutfeedDequeue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.OutfeedDequeueTuple.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.OutfeedDequeueTupleV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.OutfeedDequeueV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.OutfeedEnqueue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.OutfeedEnqueueTuple.Inputs
inputs - Variable in class org.tensorflow.op.tpu.OutfeedEnqueueTuple.Inputs: A list of tensors that will be inserted into the outfeed queue as an XLA tuple.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.PartitionedCall.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.PartitionedInput.Inputs
inputs - Variable in class org.tensorflow.op.tpu.PartitionedInput.Inputs: A list of partitioned inputs which must have the same shape.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.PartitionedOutput.Inputs
inputs - Variable in class org.tensorflow.op.tpu.PartitionedOutput.Inputs: A tensor which represents the full shape of partitioned tensors.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.Prelinearize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.PrelinearizeTuple.Inputs
inputs - Variable in class org.tensorflow.op.tpu.PrelinearizeTuple.Inputs: A list of tensors that will be provided using the infeed mechanism.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RecvTPUEmbeddingActivations.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ReplicatedInput.Inputs
inputs - Variable in class org.tensorflow.op.tpu.ReplicatedInput.Inputs: The inputs input
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ReplicatedOutput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ReplicateMetadata.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.SendTPUEmbeddingGradients.Inputs
inputs - Variable in class org.tensorflow.op.tpu.SendTPUEmbeddingGradients.Inputs: A TensorList of gradients with which to update embedding tables.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ShutdownDistributedTPU.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.TPUCompilationResult.Inputs: Deprecated.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.TPUEmbeddingActivations.Inputs: Deprecated.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.TPUReplicatedInput.Inputs: Deprecated.
inputs - Variable in class org.tensorflow.op.tpu.TPUReplicatedInput.Inputs: Deprecated.

The inputs input
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.TPUReplicatedOutput.Inputs: Deprecated.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.TPUReshardVariables.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.WorkerHeartbeat.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.AccumulatorApplyGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.AccumulatorNumAccumulated.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.AccumulatorSetGlobalStep.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.AccumulatorTakeGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyAdadelta.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyAdagrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyAdagradDa.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyAdagradV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyAdam.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyAdaMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyAddSign.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyFtrl.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyGradientDescent.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyMomentum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyPowerSign.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyProximalAdagrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyProximalGradientDescent.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyRmsProp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.BatchMatMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ComputeBatchSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ConditionalAccumulator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.GenerateVocabRemapping.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.MergeV2Checkpoints.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.NegTrain.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.PreventGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceAccumulatorApplyGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceAccumulatorNumAccumulated.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceAccumulatorSetGlobalStep.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceAccumulatorTakeGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdagrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdam.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyAddSign.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyFtrl.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyGradientDescent.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyKerasMomentum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyMomentum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceConditionalAccumulator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.Restore.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.RestoreSlice.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.Save.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SaveSlices.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SdcaFprint.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SdcaOptimizer.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SdcaShrinkL1.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SparseApplyAdadelta.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SparseApplyAdagrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SparseApplyFtrl.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SparseApplyMomentum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SparseApplyRmsProp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SymbolicGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.TileGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.AllReduce.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.AssignVariableConcatND.Inputs
inputs - Variable in class org.tensorflow.op.xla.AssignVariableConcatND.Inputs: The inputs input
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.BroadcastHelper.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.ClusterOutput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.ConcatND.Inputs
inputs - Variable in class org.tensorflow.op.xla.ConcatND.Inputs: Input tensor slices in row-major order to merge across all dimensions.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.Conv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.Dequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.Dot.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.DynamicSlice.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.DynamicUpdateSlice.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.Einsum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.Gather.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.If.Inputs
inputs - Variable in class org.tensorflow.op.xla.If.Inputs: A list of input tensors.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.KeyValueSort.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.Pad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.ReadVariableSplitND.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.Recv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.Reduce.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.ReduceScatter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.ReduceWindow.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.RemoveDynamicDimensionSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.ReplicaId.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.RngBitGenerator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.Scatter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.SelectAndScatter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.SelfAdjointEig.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.Send.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.SetDynamicDimensionSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.Sharding.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.Sort.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.SplitND.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.SpmdFullToShardShape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.SpmdShardToFullShape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.Svd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.While.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaHostCompute.Inputs
inputs - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: A list of tensors that will be sent to the host.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaLaunch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaRecvFromHost.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSendToHost.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSetBound.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaVariadicReduce.Inputs
inputs - Variable in class org.tensorflow.op.xla.XlaVariadicReduce.Inputs: the input tensor(s)
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaVariadicSort.Inputs
inputs - Variable in class org.tensorflow.op.xla.XlaVariadicSort.Inputs: A list of Tensor of identical shape but possibly different types.
INPUTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto.Node
INPUTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpInfo
INPUTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SignatureDef
inputShape - Variable in class org.tensorflow.op.sparse.SparseReduceMax.Inputs: 1-D.
inputShape - Variable in class org.tensorflow.op.sparse.SparseReduceMaxSparse.Inputs: 1-D.
inputShape - Variable in class org.tensorflow.op.sparse.SparseReduceSum.Inputs: 1-D.
inputShape - Variable in class org.tensorflow.op.sparse.SparseReduceSumSparse.Inputs: 1-D.
inputShape - Variable in class org.tensorflow.op.sparse.SparseReorder.Inputs: 1-D.
inputShape - Variable in class org.tensorflow.op.sparse.SparseReshape.Inputs: 1-D.
inputSize - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The inputSize input
inputSize - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The inputSize input
inputSize - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The inputSize input
inputSizes - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: An integer vector representing the shape of input, where input is a 4-D [batch, height, width, channels] tensor.
inputSizes - Variable in class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs: An integer vector representing the tensor shape of input, where input is a 5-D [batch, depth, rows, cols, in_channels] tensor.
inputSizes - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs: An integer vector representing the shape of input, based on data_format.
inputSplits - Variable in class org.tensorflow.op.strings.UnicodeEncode.Inputs: A 1D tensor specifying how the unicode codepoints should be split into strings.
inputStart - Variable in class org.tensorflow.op.sparse.SparseSliceGrad.Inputs: 1-D.
inputTrue - Variable in class org.tensorflow.op.risc.RiscCondition.Inputs: The inputTrue input
inputTypes - Variable in class org.tensorflow.op.data.CompressElement.Inputs: The inputTypes attribute
inputValues - Variable in class org.tensorflow.op.sparse.SparseReduceMax.Inputs: 1-D.
inputValues - Variable in class org.tensorflow.op.sparse.SparseReduceMaxSparse.Inputs: 1-D.
inputValues - Variable in class org.tensorflow.op.sparse.SparseReduceSum.Inputs: 1-D.
inputValues - Variable in class org.tensorflow.op.sparse.SparseReduceSumSparse.Inputs: 1-D.
inputValues - Variable in class org.tensorflow.op.sparse.SparseReorder.Inputs: 1-D.
inputValues - Variable in class org.tensorflow.op.strings.UnicodeEncode.Inputs: A 1D tensor containing the unicode codepoints that should be encoded.
insert(NativeOutputVector.Iterator, NativeOutput) - Method in class org.tensorflow.internal.c_api.NativeOutputVector
instanceKey - Variable in class org.tensorflow.op.collective.CollectiveBcastRecv.Inputs: The instanceKey input
instanceKey - Variable in class org.tensorflow.op.collective.CollectiveBcastSend.Inputs: The instanceKey input
instanceKey - Variable in class org.tensorflow.op.collective.CollectiveGather.Inputs: The instanceKey input
INSTRUMENTED_GRAPH_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.DebuggedGraph
INSTRUMENTED_OPS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.DebuggedGraph
INT64_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.example.Feature
INT64_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CollectionDef
INT64_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorProto
INT64_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.StructuredValue
INT64_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XStat
Int64List - Class in org.tensorflow.proto.example: Protobuf type tensorflow.Int64List
Int64List.Builder - Class in org.tensorflow.proto.example: Protobuf type tensorflow.Int64List
Int64ListOrBuilder - Interface in org.tensorflow.proto.example
INT_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorProto
inTensors - Variable in class org.tensorflow.op.core.Batch.Inputs: The inTensors input
inTensors - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: The tensors to be batched.
INTER_OP_PARALLELISM_THREADS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto
INTER_OP_THREAD_POOL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RunOptions
INTER_OPTIMIZER_VERIFIER_CONFIG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
InterconnectLink - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.InterconnectLink
InterconnectLink.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.InterconnectLink
InterconnectLinkOrBuilder - Interface in org.tensorflow.proto.framework
INTERLEAVE_MANY_VALUE - Static variable in enum org.tensorflow.proto.data.model.NodeClass: INTERLEAVE_MANY = 1;
InterleaveDataset - Class in org.tensorflow.op.data: Creates a dataset that applies f to the outputs of input_dataset.
InterleaveDataset(Operation) - Constructor for class org.tensorflow.op.data.InterleaveDataset
interleaveDataset(Operand<? extends TType>, Iterable<Operand<?>>, Operand<TInt64>, Operand<TInt64>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, InterleaveDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that applies f to the outputs of input_dataset.
InterleaveDataset.Inputs - Class in org.tensorflow.op.data
InterleaveDataset.Options - Class in org.tensorflow.op.data: Optional attributes for InterleaveDataset
INTERNAL_ERROR_VALUE - Static variable in enum org.tensorflow.proto.util.WorkerHealth: INTERNAL_ERROR = 2;
INTERNAL_FRAGMENTATION_FRACTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GPUOptions.Experimental
INTERNAL_VALUE - Static variable in enum org.tensorflow.proto.framework.Code: Internal errors.
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.AutotuneOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DistributeOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DistributeOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.experimental.TensorMetadata
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.model.ModelProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.model.ModelProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.model.ModelProto.Node
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.OptimizationOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.Options.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.Options
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.ThreadingOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.ThreadingOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.distruntime.ClusterDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.distruntime.JobDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.distruntime.JobDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.distruntime.ServerDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.example.BytesList.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.example.BytesList
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.example.Example.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.example.Example
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.example.ExampleParserConfiguration
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.example.Feature.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.example.Feature
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.example.FeatureConfiguration
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.example.FeatureList.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.example.FeatureList
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.example.FeatureLists.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.example.FeatureLists
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.example.Features.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.example.Features
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.example.FloatList.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.example.FloatList
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.example.Int64List.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.example.Int64List
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.example.SequenceExample.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.example.SequenceExample
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.example.VarLenFeatureProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.AllocationDescription
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.AllocationRecord.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.AllocationRecord
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ApiDef.Arg
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ApiDef.Attr
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ApiDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ApiDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ApiDefs.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ApiDefs
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.AssetFileDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.AttrValue.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.AttrValue
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.AutoParallelOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.AutoParallelOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CallableOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CapturedTensor.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CapturedTensor
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CollectionDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CondContextDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ConfigProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CostGraphDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.DebugOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.DebugOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.DebugTensorWatch
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.DeviceAttributes
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.DeviceLocality
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.DeviceProperties
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.DeviceStepStats
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.DictValue.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.DictValue
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.FullTypeDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.FunctionDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.FunctionSpec
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GPUOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GradientDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GradientDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GraphDebugInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GraphDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GraphDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GraphOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GraphTransferInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.HistogramProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.HistogramProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.InterconnectLink
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.KernelDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.KernelDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.KernelList.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.KernelList
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ListValue.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ListValue
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.LocalLinks.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.LocalLinks
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.LogNormalDistribution.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.LogNormalDistribution
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.MemoryLogStep.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.MemoryLogStep
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.MemoryStats.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.MemoryStats
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.MetaGraphDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.NameAttrList.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.NameAttrList
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.NamedDevice.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.NamedDevice
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.NamedTensorProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.NamedTupleValue
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.NodeDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.NodeDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.NodeExecStats
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.NodeOutput.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.NodeOutput
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.NoneValue.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.NoneValue
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.NormalDistribution.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.NormalDistribution
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.OpDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.OpDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.OpDeprecation.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.OpDeprecation
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.OpInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.OpInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.OpList.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.OpList
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.OpPerformance
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.OpPerformanceList
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.OptimizerOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.PairValue.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.PairValue
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.QueueRunnerDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ReaderBaseState
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.RegisteredGradient.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.RegisteredGradient
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ResourceHandleProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.RewriterConfig
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.RPCOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.RPCOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.RunMetadata
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.RunOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.RunOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SaveableObject.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SaveableObject
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SavedAsset.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SavedAsset
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SavedConstant.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SavedConstant
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SavedFunction.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SavedFunction
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SavedModel.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SavedModel
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SavedObject.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SavedObject
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SavedObjectGraph
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SavedResource.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SavedResource
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SavedUserObject
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SavedVariable
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SessionInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SessionInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SessionMetadata.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SessionMetadata
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SignatureDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SignatureDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.Status.DerivedStatus.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.Status.DerivedStatus
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.StepStats.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.StepStats
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.StructuredValue
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.Summary.Audio
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.Summary.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.Summary.Image.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.Summary.Image
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.Summary
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.Summary.Value
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SummaryDescription.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SummaryDescription
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SummaryMetadata
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TensorConnection.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TensorConnection
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TensorDescription.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TensorDescription
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TensorInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TensorProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TensorProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TensorShapeProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TensorSliceProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TensorSpecProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TupleValue.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TupleValue
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.TypeSpecProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ValuesDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.ValuesDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.VariableDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.VariableDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.VerifierConfig.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.VerifierConfig
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.VersionDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.VersionDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.framework.WhileContextDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.ProfileOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.XEvent.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.XEvent
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.XEventMetadata
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.XLine.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.XLine
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.XPlane.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.XPlane
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.XSpace.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.XSpace
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.XStat.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.XStat
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.XStatMetadata
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.BinSummary.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.BinSummary
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.BundleEntryProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.BundleHeaderProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.CodeLocation.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.CodeLocation
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.DebugEvent.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.DebugEvent
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.DebuggedDevice.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.DebuggedDevice
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.DebuggedGraph
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.DebugMetadata.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.DebugMetadata
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.Event.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.Event
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.Execution.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.Execution
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.GraphExecutionTrace
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.GraphOpCreation
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.LogMessage: Deprecated.
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.MemAllocatorStats
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.MemChunk.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.MemChunk
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.MemoryDump.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.MemoryDump
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.RequestedExitCode.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.RequestedExitCode
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.SavedSlice.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.SavedSlice
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.SavedSliceMeta
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.SavedTensorSlices
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.SaverDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.SaverDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.SessionLog.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.SessionLog
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.SnapShot.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.SnapShot
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.SourceFile.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.SourceFile
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.StackFrameWithId
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.TaggedRunMetadata.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.TaggedRunMetadata
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.testlog.CommitId
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.testlog.CPUInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.testlog.EntryValue.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.testlog.EntryValue
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.testlog.GPUInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.testlog.MemoryInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.testlog.MemoryInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.testlog.MetricEntry
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.testlog.TestResults
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.WatchdogConfig.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.WatchdogConfig
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
internalGetMapField(int) - Method in class org.tensorflow.proto.data.model.ModelProto.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.data.model.ModelProto
internalGetMapField(int) - Method in class org.tensorflow.proto.distruntime.JobDef.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.distruntime.JobDef
internalGetMapField(int) - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters
internalGetMapField(int) - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.example.ExampleParserConfiguration
internalGetMapField(int) - Method in class org.tensorflow.proto.example.FeatureLists.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.example.FeatureLists
internalGetMapField(int) - Method in class org.tensorflow.proto.example.Features.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.example.Features
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.CallableOptions
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.ConfigProto
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.DeviceProperties
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.DeviceStepStats
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.DictValue.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.DictValue
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.FunctionDef
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.GraphDebugInfo
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.MetaGraphDef
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.NameAttrList.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.NameAttrList
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.NodeDef.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.NodeDef
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.OpInfo.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.OpInfo
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.SavedObject.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.SavedObject
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.SavedObjectGraph
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.SignatureDef.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.SignatureDef
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.ValuesDef.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.framework.ValuesDef
internalGetMapField(int) - Method in class org.tensorflow.proto.profiler.XPlane.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.profiler.XPlane
internalGetMapField(int) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
internalGetMapField(int) - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.util.testlog.CPUInfo
internalGetMapField(int) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.data.model.ModelProto.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.distruntime.JobDef.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.example.FeatureLists.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.example.Features.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.framework.DictValue.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.framework.NameAttrList.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.framework.NodeDef.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.framework.OpInfo.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.framework.SavedObject.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.framework.SignatureDef.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.framework.ValuesDef.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.profiler.XPlane.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder
internalGetValueMap() - Static method in enum org.tensorflow.proto.data.AutoShardPolicy
internalGetValueMap() - Static method in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy
internalGetValueMap() - Static method in enum org.tensorflow.proto.data.ExternalStatePolicy
internalGetValueMap() - Static method in enum org.tensorflow.proto.data.model.AutotuneAlgorithm
internalGetValueMap() - Static method in enum org.tensorflow.proto.data.model.NodeClass
internalGetValueMap() - Static method in enum org.tensorflow.proto.framework.ApiDef.Visibility
internalGetValueMap() - Static method in enum org.tensorflow.proto.framework.Code
internalGetValueMap() - Static method in enum org.tensorflow.proto.framework.ConfigProto.Experimental.MlirBridgeRollout
internalGetValueMap() - Static method in enum org.tensorflow.proto.framework.DataClass
internalGetValueMap() - Static method in enum org.tensorflow.proto.framework.DataType
internalGetValueMap() - Static method in enum org.tensorflow.proto.framework.FullTypeId
internalGetValueMap() - Static method in enum org.tensorflow.proto.framework.FunctionSpec.JitCompile
internalGetValueMap() - Static method in enum org.tensorflow.proto.framework.GraphTransferInfo.Destination
internalGetValueMap() - Static method in enum org.tensorflow.proto.framework.OptimizerOptions.GlobalJitLevel
internalGetValueMap() - Static method in enum org.tensorflow.proto.framework.OptimizerOptions.Level
internalGetValueMap() - Static method in enum org.tensorflow.proto.framework.RewriterConfig.CpuLayout
internalGetValueMap() - Static method in enum org.tensorflow.proto.framework.RewriterConfig.MemOptType
internalGetValueMap() - Static method in enum org.tensorflow.proto.framework.RewriterConfig.NumIterationsType
internalGetValueMap() - Static method in enum org.tensorflow.proto.framework.RewriterConfig.Toggle
internalGetValueMap() - Static method in enum org.tensorflow.proto.framework.RunOptions.TraceLevel
internalGetValueMap() - Static method in enum org.tensorflow.proto.framework.TypeSpecProto.TypeSpecClass
internalGetValueMap() - Static method in enum org.tensorflow.proto.framework.VariableAggregation
internalGetValueMap() - Static method in enum org.tensorflow.proto.framework.VariableSynchronization
internalGetValueMap() - Static method in enum org.tensorflow.proto.framework.VerifierConfig.Toggle
internalGetValueMap() - Static method in enum org.tensorflow.proto.profiler.ProfileOptions.DeviceType
internalGetValueMap() - Static method in enum org.tensorflow.proto.util.BundleHeaderProto.Endianness
internalGetValueMap() - Static method in enum org.tensorflow.proto.util.LogMessage.Level: Deprecated.
internalGetValueMap() - Static method in enum org.tensorflow.proto.util.SaverDef.CheckpointFormatVersion
internalGetValueMap() - Static method in enum org.tensorflow.proto.util.SessionLog.SessionStatus
internalGetValueMap() - Static method in enum org.tensorflow.proto.util.TensorDebugMode
internalGetValueMap() - Static method in enum org.tensorflow.proto.util.testlog.TestResults.BenchmarkType
internalGetValueMap() - Static method in enum org.tensorflow.proto.util.WorkerHealth
internalGetValueMap() - Static method in enum org.tensorflow.proto.util.WorkerShutdownMode
interpolation - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV2.Inputs: Interpolation method, "NEAREST" or "BILINEAR".
interpolation - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV3.Inputs: Interpolation method, "NEAREST" or "BILINEAR".
InTopK - Class in org.tensorflow.op.nn: Says whether the targets are in the top K predictions.
InTopK(Operation) - Constructor for class org.tensorflow.op.nn.InTopK
inTopK(Operand<TFloat32>, Operand<T>, Operand<T>) - Method in class org.tensorflow.op.NnOps: Says whether the targets are in the top K predictions.
InTopK.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
INTRA_OP_PARALLELISM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SessionInfo
INTRA_OP_PARALLELISM_THREADS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto
Inv<T extends TType> - Class in org.tensorflow.op.linalg: Computes the inverse of one or more square invertible matrices or their adjoints (conjugate transposes).
Inv(Operation) - Constructor for class org.tensorflow.op.linalg.Inv
inv(Operand<T>, Inv.Options...) - Method in class org.tensorflow.op.LinalgOps: Computes the inverse of one or more square invertible matrices or their adjoints (conjugate transposes).
Inv.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
Inv.Options - Class in org.tensorflow.op.linalg: Optional attributes for Inv
INVALID_ARGUMENT_VALUE - Static variable in enum org.tensorflow.proto.framework.Code: Client specified an invalid argument.
Invert<T extends TNumber> - Class in org.tensorflow.op.bitwise: Invert (flip) each bit of supported types; for example, type uint8 value 01010101 becomes 10101010.
Invert(Operation) - Constructor for class org.tensorflow.op.bitwise.Invert
invert(Operand<T>) - Method in class org.tensorflow.op.BitwiseOps: Invert (flip) each bit of supported types; for example, type uint8 value 01010101 becomes 10101010.
Invert.Inputs<T extends TNumber> - Class in org.tensorflow.op.bitwise
InvertPermutation<T extends TNumber> - Class in org.tensorflow.op.math: Computes the inverse permutation of a tensor.
InvertPermutation(Operation) - Constructor for class org.tensorflow.op.math.InvertPermutation
invertPermutation(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes the inverse permutation of a tensor.
InvertPermutation.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
InvGrad<T extends TType> - Class in org.tensorflow.op.nn: Computes the gradient for the inverse of x wrt its input.
InvGrad(Operation) - Constructor for class org.tensorflow.op.nn.InvGrad
InvGrad.Inputs<T extends TType> - Class in org.tensorflow.op.nn
io - Variable in class org.tensorflow.op.Ops
IoOps - Class in org.tensorflow.op: An API for building io operations as Ops
IOS_BENCHMARK_VALUE - Static variable in enum org.tensorflow.proto.util.testlog.TestResults.BenchmarkType: IOS_BENCHMARK = 5;
iouThreshold - Variable in class org.tensorflow.op.image.CombinedNonMaxSuppression.Inputs: A 0-D float tensor representing the threshold for deciding whether boxes overlap too much with respect to IOU.
iouThreshold - Variable in class org.tensorflow.op.image.NonMaxSuppression.Inputs: A 0-D float tensor representing the threshold for deciding whether boxes overlap too much with respect to IOU.
Irfft - Class in org.tensorflow.op.signal: Inverse real-valued fast Fourier transform.
Irfft(Operation) - Constructor for class org.tensorflow.op.signal.Irfft
irfft(Operand<? extends TType>, Operand<TInt32>) - Method in class org.tensorflow.op.SignalOps: Inverse real-valued fast Fourier transform.
irfft(Operand<? extends TType>, Operand<TInt32>, Class) - Method in class org.tensorflow.op.SignalOps: Inverse real-valued fast Fourier transform.
Irfft.Inputs - Class in org.tensorflow.op.signal
Irfft2d - Class in org.tensorflow.op.signal: Inverse 2D real-valued fast Fourier transform.
Irfft2d(Operation) - Constructor for class org.tensorflow.op.signal.Irfft2d
irfft2d(Operand<? extends TType>, Operand<TInt32>) - Method in class org.tensorflow.op.SignalOps: Inverse 2D real-valued fast Fourier transform.
irfft2d(Operand<? extends TType>, Operand<TInt32>, Class) - Method in class org.tensorflow.op.SignalOps: Inverse 2D real-valued fast Fourier transform.
Irfft2d.Inputs - Class in org.tensorflow.op.signal
Irfft3d - Class in org.tensorflow.op.signal: Inverse 3D real-valued fast Fourier transform.
Irfft3d(Operation) - Constructor for class org.tensorflow.op.signal.Irfft3d
irfft3d(Operand<? extends TType>, Operand<TInt32>) - Method in class org.tensorflow.op.SignalOps: Inverse 3D real-valued fast Fourier transform.
irfft3d(Operand<? extends TType>, Operand<TInt32>, Class) - Method in class org.tensorflow.op.SignalOps: Inverse 3D real-valued fast Fourier transform.
Irfft3d.Inputs - Class in org.tensorflow.op.signal
IS_AGGREGATE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef
IS_COMMUTATIVE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef
IS_DISTRIBUTED_COMMUNICATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef
IS_FINAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CostGraphDef.Node
is_list() - Method in class org.tensorflow.internal.c_api.TF_AttrMetadata
is_list(byte) - Method in class org.tensorflow.internal.c_api.TF_AttrMetadata
IS_METHOD_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.FunctionSpec
IS_REF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef.ArgDef
IS_RESOURCE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.VariableDef
IS_STATEFUL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef
IsArg() - Method in class org.tensorflow.internal.c_api.Node
IsBoostedTreesEnsembleInitialized - Class in org.tensorflow.op.estimator: Checks whether a tree ensemble has been initialized.
IsBoostedTreesEnsembleInitialized(Operation) - Constructor for class org.tensorflow.op.estimator.IsBoostedTreesEnsembleInitialized
IsBoostedTreesEnsembleInitialized.Inputs - Class in org.tensorflow.op.estimator
IsBoostedTreesQuantileStreamResourceInitialized - Class in org.tensorflow.op.estimator: Checks whether a quantile stream has been initialized.
IsBoostedTreesQuantileStreamResourceInitialized(Operation) - Constructor for class org.tensorflow.op.estimator.IsBoostedTreesQuantileStreamResourceInitialized
IsBoostedTreesQuantileStreamResourceInitialized.Inputs - Class in org.tensorflow.op.estimator
IsBuiltWithNvcc() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
IsBuiltWithROCm() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
IsBuiltWithXLA() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
IsCaseNode() - Method in class org.tensorflow.internal.c_api.Node
isClosed() - Method in class org.tensorflow.op.io.QueueIsClosed: Gets isClosed.
IsCollective() - Method in class org.tensorflow.internal.c_api.Node
IsConstant() - Method in class org.tensorflow.internal.c_api.Node
isConstant - Variable in class org.tensorflow.op.core.Enter.Inputs: If true, the output is constant within the child frame.
isConstant(Boolean) - Static method in class org.tensorflow.op.core.Enter: Sets the isConstant option.
isConstant(Boolean) - Method in class org.tensorflow.op.core.Enter.Options: Sets the isConstant option.
isConstant - Variable in class org.tensorflow.op.core.RefEnter.Inputs: If true, the output is constant within the child frame.
isConstant(Boolean) - Static method in class org.tensorflow.op.core.RefEnter: Sets the isConstant option.
isConstant(Boolean) - Method in class org.tensorflow.op.core.RefEnter.Options: Sets the isConstant option.
IsControlFlow() - Method in class org.tensorflow.internal.c_api.Node
IsControlTrigger() - Method in class org.tensorflow.internal.c_api.Node
IsDeleteSessionTensor() - Method in class org.tensorflow.internal.c_api.Node
IsDistributedCommunication() - Method in class org.tensorflow.internal.c_api.Node
isEager() - Method in interface org.tensorflow.ExecutionEnvironment
isEmpty() - Method in class org.tensorflow.Session.Runner: True if there are no targets or fetches.
IsEnter() - Method in class org.tensorflow.internal.c_api.Node
IsExit() - Method in class org.tensorflow.internal.c_api.Node
IsFakeParam() - Method in class org.tensorflow.internal.c_api.Node
isFiles - Variable in class org.tensorflow.op.data.TensorSliceDataset.Inputs: The isFiles attribute
isFiles(Boolean) - Static method in class org.tensorflow.op.data.TensorSliceDataset: Sets the isFiles option.
isFiles(Boolean) - Method in class org.tensorflow.op.data.TensorSliceDataset.Options: Sets the isFiles option.
IsFinite - Class in org.tensorflow.op.math: Returns which elements of x are finite.
IsFinite(Operation) - Constructor for class org.tensorflow.op.math.IsFinite
isFinite(Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Returns which elements of x are finite.
IsFinite.Inputs - Class in org.tensorflow.op.math
IsFunctionCall() - Method in class org.tensorflow.internal.c_api.Node
IsGetSessionHandle() - Method in class org.tensorflow.internal.c_api.Node
IsGetSessionTensor() - Method in class org.tensorflow.internal.c_api.Node
isGlobalInit - Variable in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Inputs: Reserved.
isGlobalInit(Boolean) - Static method in class org.tensorflow.op.tpu.ConfigureDistributedTPU: Sets the isGlobalInit option.
isGlobalInit(Boolean) - Method in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Options: Sets the isGlobalInit option.
IsGoogleCudaEnabled() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
isGraph() - Method in interface org.tensorflow.ExecutionEnvironment
IsHostRecv() - Method in class org.tensorflow.internal.c_api.Node
IsHostSend() - Method in class org.tensorflow.internal.c_api.Node
IsIdentity() - Method in class org.tensorflow.internal.c_api.Node
IsIfNode() - Method in class org.tensorflow.internal.c_api.Node
IsInf - Class in org.tensorflow.op.math: Returns which elements of x are Inf.
IsInf(Operation) - Constructor for class org.tensorflow.op.math.IsInf
isInf(Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Returns which elements of x are Inf.
IsInf.Inputs - Class in org.tensorflow.op.math
isInit() - Method in class org.tensorflow.op.GradientScope
isInit() - Method in class org.tensorflow.op.OpScope
isInit() - Method in interface org.tensorflow.op.Scope: Get whether this scope is building init ops.
isInitialized() - Method in class org.tensorflow.op.core.IsVariableInitialized: Gets isInitialized.
isInitialized() - Method in class org.tensorflow.op.core.VarIsInitializedOp: Gets isInitialized.
isInitialized() - Method in class org.tensorflow.op.estimator.IsBoostedTreesEnsembleInitialized: Gets isInitialized.
isInitialized() - Method in class org.tensorflow.op.estimator.IsBoostedTreesQuantileStreamResourceInitialized: Gets isInitialized.
isInitialized() - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.data.AutotuneOptions
isInitialized() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
isInitialized() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
isInitialized() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
isInitialized() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
isInitialized() - Method in class org.tensorflow.proto.data.DistributeOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.data.DistributeOptions
isInitialized() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
isInitialized() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
isInitialized() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
isInitialized() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
isInitialized() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder
isInitialized() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
isInitialized() - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder
isInitialized() - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord
isInitialized() - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder
isInitialized() - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
isInitialized() - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder
isInitialized() - Method in class org.tensorflow.proto.data.experimental.TensorMetadata
isInitialized() - Method in class org.tensorflow.proto.data.model.ModelProto.Builder
isInitialized() - Method in class org.tensorflow.proto.data.model.ModelProto
isInitialized() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder
isInitialized() - Method in class org.tensorflow.proto.data.model.ModelProto.Node
isInitialized() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder
isInitialized() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
isInitialized() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder
isInitialized() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
isInitialized() - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.data.OptimizationOptions
isInitialized() - Method in class org.tensorflow.proto.data.Options.Builder
isInitialized() - Method in class org.tensorflow.proto.data.Options
isInitialized() - Method in class org.tensorflow.proto.data.ThreadingOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.data.ThreadingOptions
isInitialized() - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder
isInitialized() - Method in class org.tensorflow.proto.distruntime.ClusterDef
isInitialized() - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder
isInitialized() - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
isInitialized() - Method in class org.tensorflow.proto.distruntime.JobDef.Builder
isInitialized() - Method in class org.tensorflow.proto.distruntime.JobDef
isInitialized() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder
isInitialized() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters
isInitialized() - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder
isInitialized() - Method in class org.tensorflow.proto.distruntime.ServerDef
isInitialized() - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters.Builder
isInitialized() - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
isInitialized() - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra.Builder
isInitialized() - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
isInitialized() - Method in class org.tensorflow.proto.example.BytesList.Builder
isInitialized() - Method in class org.tensorflow.proto.example.BytesList
isInitialized() - Method in class org.tensorflow.proto.example.Example.Builder
isInitialized() - Method in class org.tensorflow.proto.example.Example
isInitialized() - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder
isInitialized() - Method in class org.tensorflow.proto.example.ExampleParserConfiguration
isInitialized() - Method in class org.tensorflow.proto.example.Feature.Builder
isInitialized() - Method in class org.tensorflow.proto.example.Feature
isInitialized() - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder
isInitialized() - Method in class org.tensorflow.proto.example.FeatureConfiguration
isInitialized() - Method in class org.tensorflow.proto.example.FeatureList.Builder
isInitialized() - Method in class org.tensorflow.proto.example.FeatureList
isInitialized() - Method in class org.tensorflow.proto.example.FeatureLists.Builder
isInitialized() - Method in class org.tensorflow.proto.example.FeatureLists
isInitialized() - Method in class org.tensorflow.proto.example.Features.Builder
isInitialized() - Method in class org.tensorflow.proto.example.Features
isInitialized() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder
isInitialized() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto
isInitialized() - Method in class org.tensorflow.proto.example.FloatList.Builder
isInitialized() - Method in class org.tensorflow.proto.example.FloatList
isInitialized() - Method in class org.tensorflow.proto.example.Int64List.Builder
isInitialized() - Method in class org.tensorflow.proto.example.Int64List
isInitialized() - Method in class org.tensorflow.proto.example.SequenceExample.Builder
isInitialized() - Method in class org.tensorflow.proto.example.SequenceExample
isInitialized() - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder
isInitialized() - Method in class org.tensorflow.proto.example.VarLenFeatureProto
isInitialized() - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.AllocationDescription
isInitialized() - Method in class org.tensorflow.proto.framework.AllocationRecord.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.AllocationRecord
isInitialized() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
isInitialized() - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.ApiDef.Arg
isInitialized() - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.ApiDef.Attr
isInitialized() - Method in class org.tensorflow.proto.framework.ApiDef.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint
isInitialized() - Method in class org.tensorflow.proto.framework.ApiDef
isInitialized() - Method in class org.tensorflow.proto.framework.ApiDefs.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.ApiDefs
isInitialized() - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.AssetFileDef
isInitialized() - Method in class org.tensorflow.proto.framework.AttrValue.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.AttrValue
isInitialized() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue
isInitialized() - Method in class org.tensorflow.proto.framework.AutoParallelOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.AutoParallelOptions
isInitialized() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
isInitialized() - Method in class org.tensorflow.proto.framework.CallableOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.CallableOptions
isInitialized() - Method in class org.tensorflow.proto.framework.CapturedTensor.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.CapturedTensor
isInitialized() - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList
isInitialized() - Method in class org.tensorflow.proto.framework.CollectionDef.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList
isInitialized() - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList
isInitialized() - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List
isInitialized() - Method in class org.tensorflow.proto.framework.CollectionDef
isInitialized() - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList
isInitialized() - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
isInitialized() - Method in class org.tensorflow.proto.framework.CondContextDef.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.CondContextDef
isInitialized() - Method in class org.tensorflow.proto.framework.ConfigProto.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental
isInitialized() - Method in class org.tensorflow.proto.framework.ConfigProto
isInitialized() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef
isInitialized() - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
isInitialized() - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.CostGraphDef
isInitialized() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
isInitialized() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node
isInitialized() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
isInitialized() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile
isInitialized() - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles
isInitialized() - Method in class org.tensorflow.proto.framework.DebugOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.DebugOptions
isInitialized() - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.DebugTensorWatch
isInitialized() - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.DeviceAttributes
isInitialized() - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.DeviceLocality
isInitialized() - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.DeviceProperties
isInitialized() - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.DeviceStepStats
isInitialized() - Method in class org.tensorflow.proto.framework.DictValue.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.DictValue
isInitialized() - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.FullTypeDef
isInitialized() - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
isInitialized() - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.FunctionDef
isInitialized() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary
isInitialized() - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.FunctionSpec
isInitialized() - Method in class org.tensorflow.proto.framework.GPUOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental
isInitialized() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
isInitialized() - Method in class org.tensorflow.proto.framework.GPUOptions
isInitialized() - Method in class org.tensorflow.proto.framework.GradientDef.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.GradientDef
isInitialized() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
isInitialized() - Method in class org.tensorflow.proto.framework.GraphDebugInfo
isInitialized() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
isInitialized() - Method in class org.tensorflow.proto.framework.GraphDef.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.GraphDef
isInitialized() - Method in class org.tensorflow.proto.framework.GraphOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.GraphOptions
isInitialized() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
isInitialized() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
isInitialized() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
isInitialized() - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.GraphTransferInfo
isInitialized() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
isInitialized() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput
isInitialized() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
isInitialized() - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
isInitialized() - Method in class org.tensorflow.proto.framework.HistogramProto.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.HistogramProto
isInitialized() - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.InterconnectLink
isInitialized() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
isInitialized() - Method in class org.tensorflow.proto.framework.KernelDef.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.KernelDef
isInitialized() - Method in class org.tensorflow.proto.framework.KernelList.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.KernelList
isInitialized() - Method in class org.tensorflow.proto.framework.ListValue.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.ListValue
isInitialized() - Method in class org.tensorflow.proto.framework.LocalLinks.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.LocalLinks
isInitialized() - Method in class org.tensorflow.proto.framework.LogNormalDistribution.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.LogNormalDistribution
isInitialized() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
isInitialized() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
isInitialized() - Method in class org.tensorflow.proto.framework.MemoryLogStep.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.MemoryLogStep
isInitialized() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
isInitialized() - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
isInitialized() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
isInitialized() - Method in class org.tensorflow.proto.framework.MemoryStats.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.MemoryStats
isInitialized() - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.MetaGraphDef
isInitialized() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
isInitialized() - Method in class org.tensorflow.proto.framework.NameAttrList.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.NameAttrList
isInitialized() - Method in class org.tensorflow.proto.framework.NamedDevice.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.NamedDevice
isInitialized() - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.NamedTensorProto
isInitialized() - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.NamedTupleValue
isInitialized() - Method in class org.tensorflow.proto.framework.NodeDef.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
isInitialized() - Method in class org.tensorflow.proto.framework.NodeDef
isInitialized() - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.NodeExecStats
isInitialized() - Method in class org.tensorflow.proto.framework.NodeOutput.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.NodeOutput
isInitialized() - Method in class org.tensorflow.proto.framework.NoneValue.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.NoneValue
isInitialized() - Method in class org.tensorflow.proto.framework.NormalDistribution.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.NormalDistribution
isInitialized() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef
isInitialized() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef
isInitialized() - Method in class org.tensorflow.proto.framework.OpDef.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.OpDef
isInitialized() - Method in class org.tensorflow.proto.framework.OpDeprecation.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.OpDeprecation
isInitialized() - Method in class org.tensorflow.proto.framework.OpInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.OpInfo
isInitialized() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
isInitialized() - Method in class org.tensorflow.proto.framework.OpList.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.OpList
isInitialized() - Method in class org.tensorflow.proto.framework.OpPerformance.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.OpPerformance
isInitialized() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
isInitialized() - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.OpPerformanceList
isInitialized() - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.OptimizerOptions
isInitialized() - Method in class org.tensorflow.proto.framework.PairValue.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.PairValue
isInitialized() - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.QueueRunnerDef
isInitialized() - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.ReaderBaseState
isInitialized() - Method in class org.tensorflow.proto.framework.RegisteredGradient.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.RegisteredGradient
isInitialized() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle
isInitialized() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
isInitialized() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
isInitialized() - Method in class org.tensorflow.proto.framework.ResourceHandleProto
isInitialized() - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
isInitialized() - Method in class org.tensorflow.proto.framework.RewriterConfig
isInitialized() - Method in class org.tensorflow.proto.framework.RPCOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.RPCOptions
isInitialized() - Method in class org.tensorflow.proto.framework.RunMetadata.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
isInitialized() - Method in class org.tensorflow.proto.framework.RunMetadata
isInitialized() - Method in class org.tensorflow.proto.framework.RunOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental
isInitialized() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
isInitialized() - Method in class org.tensorflow.proto.framework.RunOptions
isInitialized() - Method in class org.tensorflow.proto.framework.SaveableObject.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.SaveableObject
isInitialized() - Method in class org.tensorflow.proto.framework.SavedAsset.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.SavedAsset
isInitialized() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
isInitialized() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction
isInitialized() - Method in class org.tensorflow.proto.framework.SavedConstant.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.SavedConstant
isInitialized() - Method in class org.tensorflow.proto.framework.SavedFunction.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.SavedFunction
isInitialized() - Method in class org.tensorflow.proto.framework.SavedModel.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.SavedModel
isInitialized() - Method in class org.tensorflow.proto.framework.SavedObject.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.SavedObject
isInitialized() - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.SavedObjectGraph
isInitialized() - Method in class org.tensorflow.proto.framework.SavedResource.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.SavedResource
isInitialized() - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.SavedUserObject
isInitialized() - Method in class org.tensorflow.proto.framework.SavedVariable.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.SavedVariable
isInitialized() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef
isInitialized() - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
isInitialized() - Method in class org.tensorflow.proto.framework.SessionInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.SessionInfo
isInitialized() - Method in class org.tensorflow.proto.framework.SessionMetadata.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.SessionMetadata
isInitialized() - Method in class org.tensorflow.proto.framework.SignatureDef.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.SignatureDef
isInitialized() - Method in class org.tensorflow.proto.framework.Status.DerivedStatus.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.Status.DerivedStatus
isInitialized() - Method in class org.tensorflow.proto.framework.StepStats.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.StepStats
isInitialized() - Method in class org.tensorflow.proto.framework.StructuredValue.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.StructuredValue
isInitialized() - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.Summary.Audio
isInitialized() - Method in class org.tensorflow.proto.framework.Summary.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.Summary.Image.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.Summary.Image
isInitialized() - Method in class org.tensorflow.proto.framework.Summary
isInitialized() - Method in class org.tensorflow.proto.framework.Summary.Value.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.Summary.Value
isInitialized() - Method in class org.tensorflow.proto.framework.SummaryDescription.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.SummaryDescription
isInitialized() - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.SummaryMetadata
isInitialized() - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
isInitialized() - Method in class org.tensorflow.proto.framework.TensorConnection.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.TensorConnection
isInitialized() - Method in class org.tensorflow.proto.framework.TensorDescription.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.TensorDescription
isInitialized() - Method in class org.tensorflow.proto.framework.TensorInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
isInitialized() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
isInitialized() - Method in class org.tensorflow.proto.framework.TensorInfo
isInitialized() - Method in class org.tensorflow.proto.framework.TensorProto.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.TensorProto
isInitialized() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
isInitialized() - Method in class org.tensorflow.proto.framework.TensorShapeProto
isInitialized() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
isInitialized() - Method in class org.tensorflow.proto.framework.TensorSliceProto
isInitialized() - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.TensorSpecProto
isInitialized() - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
isInitialized() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph
isInitialized() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
isInitialized() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
isInitialized() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
isInitialized() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
isInitialized() - Method in class org.tensorflow.proto.framework.TupleValue.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.TupleValue
isInitialized() - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.TypeSpecProto
isInitialized() - Method in class org.tensorflow.proto.framework.ValuesDef.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.ValuesDef
isInitialized() - Method in class org.tensorflow.proto.framework.VariableDef.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.VariableDef
isInitialized() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto
isInitialized() - Method in class org.tensorflow.proto.framework.VerifierConfig.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.VerifierConfig
isInitialized() - Method in class org.tensorflow.proto.framework.VersionDef.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.VersionDef
isInitialized() - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder
isInitialized() - Method in class org.tensorflow.proto.framework.WhileContextDef
isInitialized() - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.profiler.ProfileOptions
isInitialized() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
isInitialized() - Method in class org.tensorflow.proto.profiler.XEvent.Builder
isInitialized() - Method in class org.tensorflow.proto.profiler.XEvent
isInitialized() - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder
isInitialized() - Method in class org.tensorflow.proto.profiler.XEventMetadata
isInitialized() - Method in class org.tensorflow.proto.profiler.XLine.Builder
isInitialized() - Method in class org.tensorflow.proto.profiler.XLine
isInitialized() - Method in class org.tensorflow.proto.profiler.XPlane.Builder
isInitialized() - Method in class org.tensorflow.proto.profiler.XPlane
isInitialized() - Method in class org.tensorflow.proto.profiler.XSpace.Builder
isInitialized() - Method in class org.tensorflow.proto.profiler.XSpace
isInitialized() - Method in class org.tensorflow.proto.profiler.XStat.Builder
isInitialized() - Method in class org.tensorflow.proto.profiler.XStat
isInitialized() - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder
isInitialized() - Method in class org.tensorflow.proto.profiler.XStatMetadata
isInitialized() - Method in class org.tensorflow.proto.util.BinSummary.Builder
isInitialized() - Method in class org.tensorflow.proto.util.BinSummary
isInitialized() - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder
isInitialized() - Method in class org.tensorflow.proto.util.BundleEntryProto
isInitialized() - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder
isInitialized() - Method in class org.tensorflow.proto.util.BundleHeaderProto
isInitialized() - Method in class org.tensorflow.proto.util.CodeLocation.Builder
isInitialized() - Method in class org.tensorflow.proto.util.CodeLocation
isInitialized() - Method in class org.tensorflow.proto.util.DebugEvent.Builder
isInitialized() - Method in class org.tensorflow.proto.util.DebugEvent
isInitialized() - Method in class org.tensorflow.proto.util.DebuggedDevice.Builder
isInitialized() - Method in class org.tensorflow.proto.util.DebuggedDevice
isInitialized() - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder
isInitialized() - Method in class org.tensorflow.proto.util.DebuggedGraph
isInitialized() - Method in class org.tensorflow.proto.util.DebugMetadata.Builder
isInitialized() - Method in class org.tensorflow.proto.util.DebugMetadata
isInitialized() - Method in class org.tensorflow.proto.util.Event.Builder
isInitialized() - Method in class org.tensorflow.proto.util.Event
isInitialized() - Method in class org.tensorflow.proto.util.Execution.Builder
isInitialized() - Method in class org.tensorflow.proto.util.Execution
isInitialized() - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder
isInitialized() - Method in class org.tensorflow.proto.util.GraphExecutionTrace
isInitialized() - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder
isInitialized() - Method in class org.tensorflow.proto.util.GraphOpCreation
isInitialized() - Method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.
isInitialized() - Method in class org.tensorflow.proto.util.LogMessage: Deprecated.
isInitialized() - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder
isInitialized() - Method in class org.tensorflow.proto.util.MemAllocatorStats
isInitialized() - Method in class org.tensorflow.proto.util.MemChunk.Builder
isInitialized() - Method in class org.tensorflow.proto.util.MemChunk
isInitialized() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder
isInitialized() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
isInitialized() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder
isInitialized() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
isInitialized() - Method in class org.tensorflow.proto.util.MemoryDump.Builder
isInitialized() - Method in class org.tensorflow.proto.util.MemoryDump
isInitialized() - Method in class org.tensorflow.proto.util.RequestedExitCode.Builder
isInitialized() - Method in class org.tensorflow.proto.util.RequestedExitCode
isInitialized() - Method in class org.tensorflow.proto.util.SavedSlice.Builder
isInitialized() - Method in class org.tensorflow.proto.util.SavedSlice
isInitialized() - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder
isInitialized() - Method in class org.tensorflow.proto.util.SavedSliceMeta
isInitialized() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder
isInitialized() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta
isInitialized() - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder
isInitialized() - Method in class org.tensorflow.proto.util.SavedTensorSlices
isInitialized() - Method in class org.tensorflow.proto.util.SaverDef.Builder
isInitialized() - Method in class org.tensorflow.proto.util.SaverDef
isInitialized() - Method in class org.tensorflow.proto.util.SessionLog.Builder
isInitialized() - Method in class org.tensorflow.proto.util.SessionLog
isInitialized() - Method in class org.tensorflow.proto.util.SnapShot.Builder
isInitialized() - Method in class org.tensorflow.proto.util.SnapShot
isInitialized() - Method in class org.tensorflow.proto.util.SourceFile.Builder
isInitialized() - Method in class org.tensorflow.proto.util.SourceFile
isInitialized() - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder
isInitialized() - Method in class org.tensorflow.proto.util.StackFrameWithId
isInitialized() - Method in class org.tensorflow.proto.util.TaggedRunMetadata.Builder
isInitialized() - Method in class org.tensorflow.proto.util.TaggedRunMetadata
isInitialized() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
isInitialized() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder
isInitialized() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
isInitialized() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder
isInitialized() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
isInitialized() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder
isInitialized() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration
isInitialized() - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder
isInitialized() - Method in class org.tensorflow.proto.util.testlog.CommitId
isInitialized() - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.util.testlog.CPUInfo
isInitialized() - Method in class org.tensorflow.proto.util.testlog.EntryValue.Builder
isInitialized() - Method in class org.tensorflow.proto.util.testlog.EntryValue
isInitialized() - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.util.testlog.GPUInfo
isInitialized() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder
isInitialized() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration
isInitialized() - Method in class org.tensorflow.proto.util.testlog.MemoryInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.util.testlog.MemoryInfo
isInitialized() - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder
isInitialized() - Method in class org.tensorflow.proto.util.testlog.MetricEntry
isInitialized() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo
isInitialized() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder
isInitialized() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration
isInitialized() - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder
isInitialized() - Method in class org.tensorflow.proto.util.testlog.TestResults
isInitialized() - Method in class org.tensorflow.proto.util.WatchdogConfig.Builder
isInitialized() - Method in class org.tensorflow.proto.util.WatchdogConfig
isInitialized() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder
isInitialized() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
isInitialized() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder
isInitialized() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
isInitOp(Operation) - Method in class org.tensorflow.EagerSession: Noop, initialization is meaningless for eager sessions
isInitOp(Operation) - Method in interface org.tensorflow.ExecutionEnvironment: Get whether an op is an initialization op.
isInitOp(Operation) - Method in class org.tensorflow.Graph
isList - Variable in class org.tensorflow.op.AttributeMetadata: Whether this attribute is a list.
IsLoopCond() - Method in class org.tensorflow.internal.c_api.Node
IsMerge() - Method in class org.tensorflow.internal.c_api.Node
IsMetadata() - Method in class org.tensorflow.internal.c_api.Node
isMirroredVariable - Variable in class org.tensorflow.op.tpu.ReplicatedInput.Inputs: The isMirroredVariable attribute
isMirroredVariable(Boolean) - Static method in class org.tensorflow.op.tpu.ReplicatedInput: Sets the isMirroredVariable option.
isMirroredVariable(Boolean) - Method in class org.tensorflow.op.tpu.ReplicatedInput.Options: Sets the isMirroredVariable option.
isMirroredVariable - Variable in class org.tensorflow.op.tpu.TPUReplicatedInput.Inputs: Deprecated.

The isMirroredVariable attribute
isMirroredVariable(Boolean) - Static method in class org.tensorflow.op.tpu.TPUReplicatedInput: Deprecated.

Sets the isMirroredVariable option.
isMirroredVariable(Boolean) - Method in class org.tensorflow.op.tpu.TPUReplicatedInput.Options: Deprecated.

Sets the isMirroredVariable option.
IsMklEnabled() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
IsNan - Class in org.tensorflow.op.math: Returns which elements of x are NaN.
IsNan(Operation) - Constructor for class org.tensorflow.op.math.IsNan
isNan(Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Returns which elements of x are NaN.
IsNan.Inputs - Class in org.tensorflow.op.math
IsNextIteration() - Method in class org.tensorflow.internal.c_api.Node
ISOLATE_SESSION_STATE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto
IsOp() - Method in class org.tensorflow.internal.c_api.Node
isOpEnabled(String) - Method in class org.tensorflow.EagerSession
isOpEnabled(String) - Method in interface org.tensorflow.ExecutionEnvironment: Returns true if the given operation is valid in this execution environment.
isOpStateful(String) - Static method in class org.tensorflow.TensorFlow
IsotonicRegression - Class in org.tensorflow.op.nn: Solves a batch of isotonic regression problems.
IsotonicRegression(Operation) - Constructor for class org.tensorflow.op.nn.IsotonicRegression
IsotonicRegression.Inputs - Class in org.tensorflow.op.nn
isPacked - Variable in class org.tensorflow.op.tpu.ReplicatedInput.Inputs: The isPacked attribute
isPacked(Boolean) - Static method in class org.tensorflow.op.tpu.ReplicatedInput: Sets the isPacked option.
isPacked(Boolean) - Method in class org.tensorflow.op.tpu.ReplicatedInput.Options: Sets the isPacked option.
isPacked - Variable in class org.tensorflow.op.tpu.TPUReplicatedInput.Inputs: Deprecated.

The isPacked attribute
isPacked(Boolean) - Static method in class org.tensorflow.op.tpu.TPUReplicatedInput: Deprecated.

Sets the isPacked option.
isPacked(Boolean) - Method in class org.tensorflow.op.tpu.TPUReplicatedInput.Options: Deprecated.

Sets the isPacked option.
IsPartitionedCall() - Method in class org.tensorflow.internal.c_api.Node
isReadOnly() - Method in class org.tensorflow.internal.buffer.ByteSequenceTensorBuffer
IsRecv() - Method in class org.tensorflow.internal.c_api.Node
IsRetval() - Method in class org.tensorflow.internal.c_api.Node
IsScopedAllocator() - Method in class org.tensorflow.internal.c_api.Node
IsSend() - Method in class org.tensorflow.internal.c_api.Node
IsSink() - Method in class org.tensorflow.internal.c_api.Node
IsSource() - Method in class org.tensorflow.internal.c_api.Node
isStable - Variable in class org.tensorflow.op.xla.XlaVariadicSort.Inputs: Whether to use stable sort.
isStateful() - Method in class org.tensorflow.ConcreteFunction: Get whether the function is stateful.
IsSwitch() - Method in class org.tensorflow.internal.c_api.Node
IsTPUEmbeddingInitialized - Class in org.tensorflow.op.tpu: Whether TPU Embedding is initialized in a distributed TPU system.
IsTPUEmbeddingInitialized(Operation) - Constructor for class org.tensorflow.op.tpu.IsTPUEmbeddingInitialized
isTpuEmbeddingInitialized() - Method in class org.tensorflow.op.tpu.IsTPUEmbeddingInitialized: Gets isTpuEmbeddingInitialized.
IsTPUEmbeddingInitialized.Inputs - Class in org.tensorflow.op.tpu
isTraining - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The isTraining attribute
isTraining(Boolean) - Static method in class org.tensorflow.op.nn.CudnnRNN: Sets the isTraining option.
isTraining(Boolean) - Method in class org.tensorflow.op.nn.CudnnRNN.Options: Sets the isTraining option.
isTraining - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: A bool value to indicate the operation is for training (default) or inference.
isTraining(Boolean) - Static method in class org.tensorflow.op.nn.FusedBatchNorm: Sets the isTraining option.
isTraining(Boolean) - Method in class org.tensorflow.op.nn.FusedBatchNorm.Options: Sets the isTraining option.
isTraining - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: A bool value to indicate the operation is for training (default) or inference.
isTraining(Boolean) - Static method in class org.tensorflow.op.nn.FusedBatchNormGrad: Sets the isTraining option.
isTraining(Boolean) - Method in class org.tensorflow.op.nn.FusedBatchNormGrad.Options: Sets the isTraining option.
isValidOpName(String) - Static method in interface org.tensorflow.op.Scope: Check whether name is a valid name for an operation.
IsVariable() - Method in class org.tensorflow.internal.c_api.Node
IsVariableInitialized - Class in org.tensorflow.op.core: Checks whether a tensor has been initialized.
IsVariableInitialized(Operation) - Constructor for class org.tensorflow.op.core.IsVariableInitialized
isVariableInitialized(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Checks whether a tensor has been initialized.
IsVariableInitialized.Inputs - Class in org.tensorflow.op.core
isVariableLength() - Method in class org.tensorflow.internal.types.registry.TensorTypeInfo: Returns true if elements of the corresponding data type are of variable length (undefined number of bytes)
IsWhileNode() - Method in class org.tensorflow.internal.c_api.Node
item() - Method in class org.tensorflow.op.core.TensorListGetItem: Gets item.
item - Variable in class org.tensorflow.op.core.TensorListSetItem.Inputs: The item input
iterationCounter - Variable in class org.tensorflow.op.data.DataServiceDatasetV2.Inputs: The iterationCounter input
iterator() - Method in class org.tensorflow.internal.buffer.ByteSequenceProvider
Iterator(Pointer) - Constructor for class org.tensorflow.internal.c_api.NameMap.Iterator
Iterator() - Constructor for class org.tensorflow.internal.c_api.NameMap.Iterator
Iterator(Pointer) - Constructor for class org.tensorflow.internal.c_api.NativeOutputVector.Iterator
Iterator() - Constructor for class org.tensorflow.internal.c_api.NativeOutputVector.Iterator
iterator() - Method in class org.tensorflow.op.core.BatchFunction
iterator() - Method in interface org.tensorflow.op.core.Case
iterator() - Method in class org.tensorflow.op.core.CompositeTensorVariantToComponents
iterator() - Method in class org.tensorflow.op.core.DynamicPartition
iterator() - Method in class org.tensorflow.op.core.For
iterator() - Method in class org.tensorflow.op.core.GetElementAtIndex
iterator() - Method in class org.tensorflow.op.core.Gradients
iterator() - Method in class org.tensorflow.op.core.IdentityN
iterator() - Method in interface org.tensorflow.op.core.If
iterator() - Method in class org.tensorflow.op.core.MapDefun
iterator() - Method in class org.tensorflow.op.core.MapPeek
iterator() - Method in class org.tensorflow.op.core.MapUnstage
iterator() - Method in class org.tensorflow.op.core.MlirPassthroughOp
iterator() - Method in class org.tensorflow.op.core.OrderedMapPeek
iterator() - Method in class org.tensorflow.op.core.OrderedMapUnstage
iterator() - Method in interface org.tensorflow.op.core.PartitionedCall
iterator() - Method in class org.tensorflow.op.core.RemoteCall
iterator() - Method in class org.tensorflow.op.core.ShapeN
iterator() - Method in class org.tensorflow.op.core.Split
iterator() - Method in class org.tensorflow.op.core.SplitV
iterator() - Method in class org.tensorflow.op.core.StagePeek
iterator() - Method in class org.tensorflow.op.core.StatefulCase
iterator() - Method in class org.tensorflow.op.core.StatefulIf
iterator() - Method in class org.tensorflow.op.core.StatefulPartitionedCall
iterator() - Method in class org.tensorflow.op.core.StatefulWhile
iterator() - Method in class org.tensorflow.op.core.StatelessCase
iterator() - Method in class org.tensorflow.op.core.StatelessIf
iterator() - Method in class org.tensorflow.op.core.StatelessPartitionedCall
iterator() - Method in class org.tensorflow.op.core.StatelessWhile
iterator() - Method in class org.tensorflow.op.core.Unstack
iterator() - Method in class org.tensorflow.op.core.Unstage
iterator() - Method in interface org.tensorflow.op.core.While
iterator() - Method in class org.tensorflow.op.data.DatasetToSingleElement
iterator - Variable in class org.tensorflow.op.data.experimental.StatsAggregatorSummary.Inputs: The iterator input
Iterator - Class in org.tensorflow.op.data: The IteratorV2 operation
Iterator(Operation) - Constructor for class org.tensorflow.op.data.Iterator
iterator - Variable in class org.tensorflow.op.data.IteratorGetNext.Inputs: The iterator input
iterator() - Method in class org.tensorflow.op.data.IteratorGetNext
iterator - Variable in class org.tensorflow.op.data.IteratorGetNextAsOptional.Inputs: The iterator input
iterator - Variable in class org.tensorflow.op.data.IteratorGetNextSync.Inputs: The iterator input
iterator() - Method in class org.tensorflow.op.data.IteratorGetNextSync
iterator - Variable in class org.tensorflow.op.data.MakeIterator.Inputs: The iterator input
iterator() - Method in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard
iterator() - Method in class org.tensorflow.op.data.OptionalGetValue
iterator() - Method in class org.tensorflow.op.data.ReduceDataset
iterator() - Method in class org.tensorflow.op.data.UncompressElement
iterator(String, String, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: The IteratorV2 operation
iterator() - Method in class org.tensorflow.op.estimator.BoostedTreesBucketize
iterator() - Method in class org.tensorflow.op.estimator.BoostedTreesFlushQuantileSummaries
iterator() - Method in class org.tensorflow.op.estimator.BoostedTreesMakeQuantileSummaries
iterator() - Method in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceGetBucketBoundaries
iterator() - Method in class org.tensorflow.op.io.DecodeCsv
iterator() - Method in class org.tensorflow.op.io.QueueDequeue
iterator() - Method in class org.tensorflow.op.io.QueueDequeueMany
iterator() - Method in class org.tensorflow.op.io.QueueDequeueUpTo
iterator() - Method in class org.tensorflow.op.risc.RiscWhile
iterator - Variable in class org.tensorflow.op.summary.StatsAggregatorSummary.Inputs: The iterator input
iterator() - Method in class org.tensorflow.op.tpu.Execute
iterator() - Method in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables
iterator() - Method in class org.tensorflow.op.tpu.InfeedDequeueTuple
iterator() - Method in class org.tensorflow.op.tpu.OutfeedDequeueTuple
iterator() - Method in class org.tensorflow.op.tpu.OutfeedDequeueTupleV2
iterator() - Method in class org.tensorflow.op.tpu.PartitionedCall
iterator() - Method in class org.tensorflow.op.tpu.PartitionedOutput
iterator() - Method in class org.tensorflow.op.tpu.RecvTPUEmbeddingActivations
iterator() - Method in class org.tensorflow.op.tpu.ReplicatedOutput
iterator() - Method in class org.tensorflow.op.tpu.TPUReplicatedOutput: Deprecated.
iterator() - Method in class org.tensorflow.op.train.Restore
iterator() - Method in class org.tensorflow.op.train.SymbolicGradient
iterator() - Method in class org.tensorflow.op.xla.If
iterator() - Method in class org.tensorflow.op.xla.ReadVariableSplitND
iterator() - Method in class org.tensorflow.op.xla.SplitND
iterator() - Method in class org.tensorflow.op.xla.While
iterator() - Method in class org.tensorflow.op.xla.XlaHostCompute
iterator() - Method in class org.tensorflow.op.xla.XlaLaunch
iterator() - Method in class org.tensorflow.op.xla.XlaVariadicReduce
iterator() - Method in class org.tensorflow.op.xla.XlaVariadicSort
Iterator.Inputs - Class in org.tensorflow.op.data
IteratorFromStringHandle - Class in org.tensorflow.op.data: The IteratorFromStringHandleV2 operation
IteratorFromStringHandle(Operation) - Constructor for class org.tensorflow.op.data.IteratorFromStringHandle
IteratorFromStringHandle.Inputs - Class in org.tensorflow.op.data
IteratorFromStringHandle.Options - Class in org.tensorflow.op.data: Optional attributes for IteratorFromStringHandle
IteratorGetDevice - Class in org.tensorflow.op.data.experimental: Returns the name of the device on which resource has been placed.
IteratorGetDevice(Operation) - Constructor for class org.tensorflow.op.data.experimental.IteratorGetDevice
IteratorGetDevice - Class in org.tensorflow.op.data: Returns the name of the device on which resource has been placed.
IteratorGetDevice(Operation) - Constructor for class org.tensorflow.op.data.IteratorGetDevice
IteratorGetDevice.Inputs - Class in org.tensorflow.op.data.experimental
IteratorGetDevice.Inputs - Class in org.tensorflow.op.data
IteratorGetNext - Class in org.tensorflow.op.data: Gets the next output from the given iterator .
IteratorGetNext(Operation) - Constructor for class org.tensorflow.op.data.IteratorGetNext
iteratorGetNext(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Gets the next output from the given iterator .
IteratorGetNext.Inputs - Class in org.tensorflow.op.data
IteratorGetNextAsOptional - Class in org.tensorflow.op.data: Gets the next output from the given iterator as an Optional variant.
IteratorGetNextAsOptional(Operation) - Constructor for class org.tensorflow.op.data.IteratorGetNextAsOptional
iteratorGetNextAsOptional(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Gets the next output from the given iterator as an Optional variant.
IteratorGetNextAsOptional.Inputs - Class in org.tensorflow.op.data
IteratorGetNextSync - Class in org.tensorflow.op.data: Gets the next output from the given iterator.
IteratorGetNextSync(Operation) - Constructor for class org.tensorflow.op.data.IteratorGetNextSync
iteratorGetNextSync(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Gets the next output from the given iterator.
IteratorGetNextSync.Inputs - Class in org.tensorflow.op.data
iterators - Variable in class org.tensorflow.op.data.DeleteMultiDeviceIterator.Inputs: A list of iterator handles (unused).
IteratorToStringHandle - Class in org.tensorflow.op.data: Converts the given resource_handle representing an iterator to a string.
IteratorToStringHandle(Operation) - Constructor for class org.tensorflow.op.data.IteratorToStringHandle
iteratorToStringHandle(Operand<? extends TType>) - Method in class org.tensorflow.op.DataOps: Converts the given resource_handle representing an iterator to a string.
IteratorToStringHandle.Inputs - Class in org.tensorflow.op.data
ITERS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.BenchmarkEntry

J

JIT_COMPILE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.FunctionSpec
job(String) - Method in class org.tensorflow.DeviceSpec.Builder
job() - Method in class org.tensorflow.DeviceSpec
JOB_FIELD_NUMBER - Static variable in class org.tensorflow.proto.distruntime.ClusterDef
JOB_GC_CHECK_INTERVAL_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
JOB_GC_TIMEOUT_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
JOB_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.distruntime.ServerDef
JobDef - Class in org.tensorflow.proto.distruntime: Defines a single job in a TensorFlow cluster.
JobDef.Builder - Class in org.tensorflow.proto.distruntime: Defines a single job in a TensorFlow cluster.
JobDefOrBuilder - Interface in org.tensorflow.proto.distruntime
JobDeviceFilters - Class in org.tensorflow.proto.distruntime: Defines the device filters for tasks in a job.
JobDeviceFilters.Builder - Class in org.tensorflow.proto.distruntime: Defines the device filters for tasks in a job.
JobDeviceFiltersOrBuilder - Interface in org.tensorflow.proto.distruntime
jobName - Variable in class org.tensorflow.op.data.DataServiceDatasetV2.Inputs: The jobName input
JOBS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
Join - Class in org.tensorflow.op.strings: Joins the strings in the given list of string tensors into one tensor; with the given separator (default is an empty separator).
Join(Operation) - Constructor for class org.tensorflow.op.strings.Join
join(Iterable<Operand<TString>>, Join.Options...) - Method in class org.tensorflow.op.StringsOps: Joins the strings in the given list of string tensors into one tensor; with the given separator (default is an empty separator).
join() - Method in class org.tensorflow.Server: Blocks until the server has been successfully stopped.
Join.Inputs - Class in org.tensorflow.op.strings
Join.Options - Class in org.tensorflow.op.strings: Optional attributes for Join
jsonExamples - Variable in class org.tensorflow.op.io.DecodeJsonExample.Inputs: Each string is a JSON object serialized according to the JSON mapping of the Example proto.

K

k - Variable in class org.tensorflow.op.core.KthOrderStatistic.Inputs: The k attribute
k - Variable in class org.tensorflow.op.core.TopKUnique.Inputs: The k attribute
k - Variable in class org.tensorflow.op.core.TopKWithUnique.Inputs: The k attribute
k - Variable in class org.tensorflow.op.image.NearestNeighbors.Inputs: Number of nearest centers to return for each point.
k - Variable in class org.tensorflow.op.linalg.MatrixDiag.Inputs: Diagonal offset(s).
k - Variable in class org.tensorflow.op.linalg.MatrixDiagPart.Inputs: Diagonal offset(s).
k - Variable in class org.tensorflow.op.linalg.MatrixDiagPartV3.Inputs: Diagonal offset(s).
k - Variable in class org.tensorflow.op.linalg.MatrixDiagV3.Inputs: Diagonal offset(s).
k - Variable in class org.tensorflow.op.linalg.MatrixSetDiag.Inputs: Diagonal offset(s).
k - Variable in class org.tensorflow.op.nn.InTopK.Inputs: Number of top elements to look at for computing precision.
k - Variable in class org.tensorflow.op.nn.TopK.Inputs: 0-D.
K - Variable in class org.tensorflow.op.xla.KeyValueSort.Inputs: The K attribute
KEEP_CHECKPOINT_EVERY_N_HOURS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.SaverDef
keepDims - Variable in class org.tensorflow.op.core.All.Inputs: If true, retain reduced dimensions with length 1.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.All: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.All.Options: Sets the keepDims option.
keepDims - Variable in class org.tensorflow.op.core.Any.Inputs: If true, retain reduced dimensions with length 1.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.Any: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.Any.Options: Sets the keepDims option.
keepDims - Variable in class org.tensorflow.op.core.Max.Inputs: If true, retain reduced dimensions with length 1.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.Max: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.Max.Options: Sets the keepDims option.
keepDims - Variable in class org.tensorflow.op.core.Min.Inputs: If true, retain reduced dimensions with length 1.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.Min: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.Min.Options: Sets the keepDims option.
keepDims - Variable in class org.tensorflow.op.core.Prod.Inputs: If true, retain reduced dimensions with length 1.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.Prod: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.Prod.Options: Sets the keepDims option.
keepDims - Variable in class org.tensorflow.op.core.ReduceAll.Inputs: If true, retain reduced dimensions with length 1.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.ReduceAll: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.ReduceAll.Options: Sets the keepDims option.
keepDims - Variable in class org.tensorflow.op.core.ReduceAny.Inputs: If true, retain reduced dimensions with length 1.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.ReduceAny: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.ReduceAny.Options: Sets the keepDims option.
keepDims - Variable in class org.tensorflow.op.core.ReduceMax.Inputs: If true, retain reduced dimensions with length 1.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.ReduceMax: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.ReduceMax.Options: Sets the keepDims option.
keepDims - Variable in class org.tensorflow.op.core.ReduceMin.Inputs: If true, retain reduced dimensions with length 1.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.ReduceMin: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.ReduceMin.Options: Sets the keepDims option.
keepDims - Variable in class org.tensorflow.op.core.ReduceProd.Inputs: If true, retain reduced dimensions with length 1.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.ReduceProd: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.ReduceProd.Options: Sets the keepDims option.
keepDims - Variable in class org.tensorflow.op.core.ReduceSum.Inputs: If true, retain reduced dimensions with length 1.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.ReduceSum: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.ReduceSum.Options: Sets the keepDims option.
keepDims - Variable in class org.tensorflow.op.core.Sum.Inputs: If true, retain reduced dimensions with length 1.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.Sum: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.Sum.Options: Sets the keepDims option.
keepDims - Variable in class org.tensorflow.op.linalg.EuclideanNorm.Inputs: If true, retain reduced dimensions with length 1.
keepDims(Boolean) - Static method in class org.tensorflow.op.linalg.EuclideanNorm: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.linalg.EuclideanNorm.Options: Sets the keepDims option.
keepDims - Variable in class org.tensorflow.op.math.Mean.Inputs: If true, retain reduced dimensions with length 1.
keepDims(Boolean) - Static method in class org.tensorflow.op.math.Mean: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.math.Mean.Options: Sets the keepDims option.
keepDims - Variable in class org.tensorflow.op.sparse.SparseReduceMax.Inputs: If true, retain reduced dimensions with length 1.
keepDims(Boolean) - Static method in class org.tensorflow.op.sparse.SparseReduceMax: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.sparse.SparseReduceMax.Options: Sets the keepDims option.
keepDims - Variable in class org.tensorflow.op.sparse.SparseReduceMaxSparse.Inputs: If true, retain reduced dimensions with length 1.
keepDims(Boolean) - Static method in class org.tensorflow.op.sparse.SparseReduceMaxSparse: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.sparse.SparseReduceMaxSparse.Options: Sets the keepDims option.
keepDims - Variable in class org.tensorflow.op.sparse.SparseReduceSum.Inputs: If true, retain reduced dimensions with length 1.
keepDims(Boolean) - Static method in class org.tensorflow.op.sparse.SparseReduceSum: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.sparse.SparseReduceSum.Options: Sets the keepDims option.
keepDims - Variable in class org.tensorflow.op.sparse.SparseReduceSumSparse.Inputs: If true, retain reduced dimensions with length 1.
keepDims(Boolean) - Static method in class org.tensorflow.op.sparse.SparseReduceSumSparse: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.sparse.SparseReduceSumSparse.Options: Sets the keepDims option.
keepDims - Variable in class org.tensorflow.op.strings.ReduceJoin.Inputs: If `True`, retain reduced dimensions with length `1`.
keepDims(Boolean) - Static method in class org.tensorflow.op.strings.ReduceJoin: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.strings.ReduceJoin.Options: Sets the keepDims option.
KERNEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.KernelList
KERNEL_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
KERNEL_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MemoryLogTensorOutput
KERNEL_TRACKER_MAX_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GPUOptions.Experimental
KERNEL_TRACKER_MAX_INTERVAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GPUOptions.Experimental
KERNEL_TRACKER_MAX_PENDING_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GPUOptions.Experimental
KernelDef - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.KernelDef
KernelDef.AttrConstraint - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.KernelDef.AttrConstraint
KernelDef.AttrConstraint.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.KernelDef.AttrConstraint
KernelDef.AttrConstraintOrBuilder - Interface in org.tensorflow.proto.framework
KernelDef.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.KernelDef
KernelDefOrBuilder - Interface in org.tensorflow.proto.framework
KernelDefProtos - Class in org.tensorflow.proto.framework
KernelList - Class in org.tensorflow.proto.framework: A collection of KernelDefs
KernelList.Builder - Class in org.tensorflow.proto.framework: A collection of KernelDefs
KernelListOrBuilder - Interface in org.tensorflow.proto.framework
kernelType - Variable in class org.tensorflow.op.image.ScaleAndTranslate.Inputs: The kernelType attribute
kernelType(String) - Static method in class org.tensorflow.op.image.ScaleAndTranslate: Sets the kernelType option.
kernelType(String) - Method in class org.tensorflow.op.image.ScaleAndTranslate.Options: Sets the kernelType option.
kernelType - Variable in class org.tensorflow.op.image.ScaleAndTranslateGrad.Inputs: The kernelType attribute
kernelType(String) - Static method in class org.tensorflow.op.image.ScaleAndTranslateGrad: Sets the kernelType option.
kernelType(String) - Method in class org.tensorflow.op.image.ScaleAndTranslateGrad.Options: Sets the kernelType option.
key - Variable in class org.tensorflow.op.core.MapPeek.Inputs: The key input
key - Variable in class org.tensorflow.op.core.MapStage.Inputs: int64
key - Variable in class org.tensorflow.op.core.MapUnstage.Inputs: The key input
key() - Method in class org.tensorflow.op.core.MapUnstageNoKey: Gets key.
key - Variable in class org.tensorflow.op.core.OrderedMapPeek.Inputs: The key input
key - Variable in class org.tensorflow.op.core.OrderedMapStage.Inputs: int64
key - Variable in class org.tensorflow.op.core.OrderedMapUnstage.Inputs: The key input
key() - Method in class org.tensorflow.op.core.OrderedMapUnstageNoKey: Gets key.
key - Variable in class org.tensorflow.op.core.TensorMapErase.Inputs: The key input
key - Variable in class org.tensorflow.op.core.TensorMapHasKey.Inputs: The key input
key - Variable in class org.tensorflow.op.core.TensorMapInsert.Inputs: The key input
key - Variable in class org.tensorflow.op.core.TensorMapLookup.Inputs: The key input
key() - Method in class org.tensorflow.op.io.ReaderRead: Gets key.
key() - Method in class org.tensorflow.op.random.StatelessRandomGetKeyCounter: Gets key.
key() - Method in class org.tensorflow.op.random.StatelessRandomGetKeyCounterAlg: Gets key.
key - Variable in class org.tensorflow.op.random.StatelessRandomNormalV2.Inputs: Key for the counter-based RNG algorithm (shape uint64[1]).
key - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2.Inputs: Key for the counter-based RNG algorithm (shape uint64[1]).
key - Variable in class org.tensorflow.op.random.StatelessRandomUniformIntV2.Inputs: Key for the counter-based RNG algorithm (shape uint64[1]).
key - Variable in class org.tensorflow.op.random.StatelessRandomUniformV2.Inputs: Key for the counter-based RNG algorithm (shape uint64[1]).
key - Variable in class org.tensorflow.op.random.StatelessTruncatedNormalV2.Inputs: Key for the counter-based RNG algorithm (shape uint64[1]).
key - Variable in class org.tensorflow.op.strings.ToHashBucketStrong.Inputs: The key used to seed the hash function, passed as a list of two uint64 elements.
key - Variable in class org.tensorflow.op.tpu.Execute.Inputs: The key input
key - Variable in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables.Inputs: The key input
key - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: A unique identifier for this region used to match up host transfers.
key - Variable in class org.tensorflow.op.xla.XlaRecvFromHost.Inputs: The key attribute
key - Variable in class org.tensorflow.op.xla.XlaSendToHost.Inputs: The key attribute
key(String) - Method in class org.tensorflow.Signature.Builder: Sets the unique key of this signature.
key() - Method in class org.tensorflow.Signature: Return the key of this signature
KEY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.PairValue
keyDtype - Variable in class org.tensorflow.op.core.AnonymousHashTable.Inputs: Type of the table keys.
keyDtype - Variable in class org.tensorflow.op.core.HashTable.Inputs: Type of the table keys.
keyDtype - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: Type of the table keys.
keyDtype - Variable in class org.tensorflow.op.core.MutableHashTable.Inputs: Type of the table keys.
keyDtype - Variable in class org.tensorflow.op.core.MutableHashTableOfTensors.Inputs: Type of the table keys.
keyDtype - Variable in class org.tensorflow.op.core.TensorMapErase.Inputs: The keyDtype attribute
keyDtype - Variable in class org.tensorflow.op.core.TensorMapHasKey.Inputs: The keyDtype attribute
keyDtype - Variable in class org.tensorflow.op.core.TensorMapInsert.Inputs: The keyDtype attribute
keyDtype - Variable in class org.tensorflow.op.core.TensorMapLookup.Inputs: The keyDtype attribute
keyDtype - Variable in class org.tensorflow.op.core.TensorMapStackKeys.Inputs: The keyDtype attribute
keyFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: A list of tensors, typically values that were captured when building a closure for key_func.
keyFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs: The keyFuncOtherArguments input
keyFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: A list of tensors, typically values that were captured when building a closure for key_func.
keyFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The keyFuncOtherArguments input
keyIndex - Variable in class org.tensorflow.op.core.InitializeTableFromTextFile.Inputs: Column index in a line to get the table `key` values from.
keys - Variable in class org.tensorflow.op.core.BarrierInsertMany.Inputs: A one-dimensional tensor of keys, with length n.
keys() - Method in class org.tensorflow.op.core.BarrierTakeMany: Gets keys.
keys - Variable in class org.tensorflow.op.core.InitializeTable.Inputs: Keys of type Tkey.
keys() - Method in class org.tensorflow.op.core.LookupTableExport: Gets keys.
keys - Variable in class org.tensorflow.op.core.LookupTableFind.Inputs: Any shape.
keys - Variable in class org.tensorflow.op.core.LookupTableImport.Inputs: Any shape.
keys - Variable in class org.tensorflow.op.core.LookupTableInsert.Inputs: Any shape.
keys - Variable in class org.tensorflow.op.core.LookupTableRemove.Inputs: Any shape.
keys() - Method in class org.tensorflow.op.core.TensorMapStackKeys: Gets keys.
keys() - Method in class org.tensorflow.op.io.ReaderReadUpTo: Gets keys.
keys - Variable in class org.tensorflow.op.xla.KeyValueSort.Inputs: A Tensor of type K.
KeyValueSort<T extends TNumber,U extends TType> - Class in org.tensorflow.op.xla: Wraps the XLA Sort operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#sort .
KeyValueSort(Operation) - Constructor for class org.tensorflow.op.xla.KeyValueSort
keyValueSort(Operand<T>, Operand) - Method in class org.tensorflow.op.XlaOps: Wraps the XLA Sort operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#sort .
KeyValueSort.Inputs<T extends TNumber,U extends TType> - Class in org.tensorflow.op.xla
KMC2ChainInitialization - Class in org.tensorflow.op.cluster: Returns the index of a data point that should be added to the seed set.
KMC2ChainInitialization(Operation) - Constructor for class org.tensorflow.op.cluster.KMC2ChainInitialization
KMC2ChainInitialization.Inputs - Class in org.tensorflow.op.cluster
KmeansPlusPlusInitialization - Class in org.tensorflow.op.cluster: Selects num_to_sample rows of input using the KMeans++ criterion.
KmeansPlusPlusInitialization(Operation) - Constructor for class org.tensorflow.op.cluster.KmeansPlusPlusInitialization
KmeansPlusPlusInitialization.Inputs - Class in org.tensorflow.op.cluster
KNOWN_RATIO_VALUE - Static variable in enum org.tensorflow.proto.data.model.NodeClass: KNOWN_RATIO = 3;
ksize - Variable in class org.tensorflow.op.nn.AvgPool.Inputs: The size of the sliding window for each dimension of `value`.
ksize - Variable in class org.tensorflow.op.nn.AvgPool3d.Inputs: 1-D tensor of length 5.
ksize - Variable in class org.tensorflow.op.nn.AvgPool3dGrad.Inputs: 1-D tensor of length 5.
ksize - Variable in class org.tensorflow.op.nn.AvgPoolGrad.Inputs: The size of the sliding window for each dimension of the input.
ksize - Variable in class org.tensorflow.op.nn.MaxPool.Inputs: The size of the window for each dimension of the input tensor.
ksize - Variable in class org.tensorflow.op.nn.MaxPool3d.Inputs: 1-D tensor of length 5.
ksize - Variable in class org.tensorflow.op.nn.MaxPool3dGrad.Inputs: 1-D tensor of length 5.
ksize - Variable in class org.tensorflow.op.nn.MaxPool3dGradGrad.Inputs: 1-D tensor of length 5.
ksize - Variable in class org.tensorflow.op.nn.MaxPoolGrad.Inputs: The size of the window for each dimension of the input tensor.
ksize - Variable in class org.tensorflow.op.nn.MaxPoolGradGrad.Inputs: The size of the window for each dimension of the input tensor.
ksize - Variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs: The size of the window for each dimension of the input tensor.
ksize - Variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs: The size of the window for each dimension of the input tensor.
ksize - Variable in class org.tensorflow.op.nn.MaxPoolWithArgmax.Inputs: The size of the window for each dimension of the input tensor.
ksize - Variable in class org.tensorflow.op.nn.QuantizedAvgPool.Inputs: The size of the window for each dimension of the input tensor.
ksize - Variable in class org.tensorflow.op.nn.QuantizedMaxPool.Inputs: The size of the window for each dimension of the input tensor.
ksize - Variable in class org.tensorflow.op.risc.RiscPool.Inputs: The ksize attribute
ksizes - Variable in class org.tensorflow.op.core.ExtractVolumePatches.Inputs: The size of the sliding window for each dimension of `input`.
ksizes - Variable in class org.tensorflow.op.image.ExtractImagePatches.Inputs: The size of the sliding window for each dimension of `images`.
KthOrderStatistic - Class in org.tensorflow.op.core: Computes the Kth order statistic of a data set.
KthOrderStatistic(Operation) - Constructor for class org.tensorflow.op.core.KthOrderStatistic
kthOrderStatistic(Operand<TFloat32>, Long) - Method in class org.tensorflow.op.Ops: Computes the Kth order statistic of a data set.
KthOrderStatistic.Inputs - Class in org.tensorflow.op.core

L

l - Variable in class org.tensorflow.op.linalg.BatchCholeskyGrad.Inputs: The l input
l - Variable in class org.tensorflow.op.linalg.CholeskyGrad.Inputs: Output of batch Cholesky algorithm l = cholesky(A).
L0_VALUE - Static variable in enum org.tensorflow.proto.framework.OptimizerOptions.Level: No optimizations
l1 - Variable in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplit.Inputs: l1 regularization factor on leaf weights, per instance based.
l1 - Variable in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplitV2.Inputs: l1 regularization factor on leaf weights, per instance based.
l1 - Variable in class org.tensorflow.op.estimator.BoostedTreesCalculateBestGainsPerFeature.Inputs: l1 regularization factor on leaf weights, per instance based.
l1 - Variable in class org.tensorflow.op.estimator.BoostedTreesCenterBias.Inputs: l1 regularization factor on leaf weights, per instance based.
l1 - Variable in class org.tensorflow.op.estimator.BoostedTreesSparseCalculateBestFeatureSplit.Inputs: l1 regularization factor on leaf weights, per instance based.
l1 - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ApplyProximalAdagrad.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ApplyProximalGradientDescent.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: Symmetric l1 regularization strength.
l1 - Variable in class org.tensorflow.op.train.SdcaShrinkL1.Inputs: Symmetric l1 regularization strength.
l1 - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs: L1 regularization.
L1_CACHE_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DeviceProperties
L1_VALUE - Static variable in enum org.tensorflow.proto.framework.OptimizerOptions.Level: L1 is the default level.
l2 - Variable in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplit.Inputs: l2 regularization factor on leaf weights, per instance based.
l2 - Variable in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplitV2.Inputs: l2 regularization factor on leaf weights, per instance based.
l2 - Variable in class org.tensorflow.op.estimator.BoostedTreesCalculateBestGainsPerFeature.Inputs: l2 regularization factor on leaf weights, per instance based.
l2 - Variable in class org.tensorflow.op.estimator.BoostedTreesCenterBias.Inputs: l2 regularization factor on leaf weights, per instance based.
l2 - Variable in class org.tensorflow.op.estimator.BoostedTreesSparseCalculateBestFeatureSplit.Inputs: l2 regularization factor on leaf weights, per instance based.
l2 - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: L2 shrinkage regularization.
l2 - Variable in class org.tensorflow.op.train.ApplyProximalAdagrad.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.ApplyProximalGradientDescent.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: L2 shrinkage regularization.
l2 - Variable in class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: L2 shrinkage regularization.
l2 - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: Symmetric l2 regularization strength.
l2 - Variable in class org.tensorflow.op.train.SdcaShrinkL1.Inputs: Symmetric l2 regularization strength.
l2 - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: L2 shrinkage regularization.
l2 - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs: L2 regularization.
L2_CACHE_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DeviceProperties
L2Loss<T extends TNumber> - Class in org.tensorflow.op.nn: L2 Loss.
L2Loss(Operation) - Constructor for class org.tensorflow.op.nn.L2Loss
l2Loss(Operand<T>) - Method in class org.tensorflow.op.NnOps: L2 Loss.
L2Loss.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
l2Regularizer - Variable in class org.tensorflow.op.linalg.BatchMatrixSolveLs.Inputs: The l2Regularizer input
l2Regularizer - Variable in class org.tensorflow.op.linalg.MatrixSolveLs.Inputs: Scalar tensor.
l2Shrinkage - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: The l2Shrinkage input
l2Shrinkage - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: The l2Shrinkage input
l2Shrinkage - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: The l2Shrinkage input
l2Shrinkage - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: The l2Shrinkage input
L3_CACHE_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DeviceProperties
LABEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.KernelDef
labels() - Method in class org.tensorflow.op.core.Skipgram: Gets labels.
labels - Variable in class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits.Inputs: batch_size x num_classes matrix The caller must ensure that each batch of labels represents a valid probability distribution.
labels - Variable in class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits.Inputs: batch_size vector with values in [0, num_classes).
labels - Variable in class org.tensorflow.op.train.NegTrain.Inputs: A vector of word ids.
labelsIndices - Variable in class org.tensorflow.op.nn.CtcLoss.Inputs: The indices of a SparseTensor<int32, 2>.
labelsIndices - Variable in class org.tensorflow.op.nn.CTCLossV2.Inputs: The indices of a SparseTensor<int32, 2>.
labelsValues - Variable in class org.tensorflow.op.nn.CtcLoss.Inputs: The values (labels) associated with the given batch and time.
labelsValues - Variable in class org.tensorflow.op.nn.CTCLossV2.Inputs: The values (labels) associated with the given batch and time.
lam - Variable in class org.tensorflow.op.random.StatelessRandomPoisson.Inputs: The rate of the Poisson distribution.
large() - Method in class org.tensorflow.internal.c_api.TF_TString_Union
large(TF_TString_Large) - Method in class org.tensorflow.internal.c_api.TF_TString_Union
LARGEST_ALLOC_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.MemAllocatorStats
LAST_MODIFIED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DebuggedSourceFile
lastHitStep - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Inputs: Value of last_hit_step used in the frequency estimator optimization algorithm.
lastHitStep() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters: Gets lastHitStep.
lastLayerNodesRange() - Method in class org.tensorflow.op.estimator.BoostedTreesGetEnsembleStates: Gets lastLayerNodesRange.
LatencyStatsDataset - Class in org.tensorflow.op.data.experimental: Records the latency of producing input_dataset elements in a StatsAggregator.
LatencyStatsDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.LatencyStatsDataset
LatencyStatsDataset - Class in org.tensorflow.op.data: Records the latency of producing input_dataset elements in a StatsAggregator.
LatencyStatsDataset(Operation) - Constructor for class org.tensorflow.op.data.LatencyStatsDataset
latencyStatsDataset(Operand<? extends TType>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Records the latency of producing input_dataset elements in a StatsAggregator.
LatencyStatsDataset.Inputs - Class in org.tensorflow.op.data.experimental
LatencyStatsDataset.Inputs - Class in org.tensorflow.op.data
layout - Variable in class org.tensorflow.op.tpu.InfeedEnqueue.Inputs: A vector holding the requested layout in minor-to-major sequence.
layout(List<Long>) - Static method in class org.tensorflow.op.tpu.InfeedEnqueue: Sets the layout option.
layout(Long...) - Static method in class org.tensorflow.op.tpu.InfeedEnqueue: Sets the layout option.
layout(List<Long>) - Method in class org.tensorflow.op.tpu.InfeedEnqueue.Options: Sets the layout option.
layout(Long...) - Method in class org.tensorflow.op.tpu.InfeedEnqueue.Options: Sets the layout option.
layout - Variable in class org.tensorflow.op.tpu.Prelinearize.Inputs: A vector holding the requested layout in minor-to-major sequence.
layout(List<Long>) - Static method in class org.tensorflow.op.tpu.Prelinearize: Sets the layout option.
layout(Long...) - Static method in class org.tensorflow.op.tpu.Prelinearize: Sets the layout option.
layout(List<Long>) - Method in class org.tensorflow.op.tpu.Prelinearize.Options: Sets the layout option.
layout(Long...) - Method in class org.tensorflow.op.tpu.Prelinearize.Options: Sets the layout option.
LAYOUT_OPTIMIZER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
layouts - Variable in class org.tensorflow.op.tpu.InfeedEnqueueTuple.Inputs: A vector holding the requested layout in minor-to-major sequence for all the tuple shapes, in the order the shapes appear in the "shapes" input.
layouts(List<Long>) - Static method in class org.tensorflow.op.tpu.InfeedEnqueueTuple: Sets the layouts option.
layouts(Long...) - Static method in class org.tensorflow.op.tpu.InfeedEnqueueTuple: Sets the layouts option.
layouts(List<Long>) - Method in class org.tensorflow.op.tpu.InfeedEnqueueTuple.Options: Sets the layouts option.
layouts(Long...) - Method in class org.tensorflow.op.tpu.InfeedEnqueueTuple.Options: Sets the layouts option.
layouts - Variable in class org.tensorflow.op.tpu.PrelinearizeTuple.Inputs: A vector holding the requested layout in minor-to-major sequence for all the tuple shapes in the order the shapes appear in the "shapes" input.
layouts(List<Long>) - Static method in class org.tensorflow.op.tpu.PrelinearizeTuple: Sets the layouts option.
layouts(Long...) - Static method in class org.tensorflow.op.tpu.PrelinearizeTuple: Sets the layouts option.
layouts(List<Long>) - Method in class org.tensorflow.op.tpu.PrelinearizeTuple.Options: Sets the layouts option.
layouts(Long...) - Method in class org.tensorflow.op.tpu.PrelinearizeTuple.Options: Sets the layouts option.
leadingDims - Variable in class org.tensorflow.op.core.TensorListConcat.Inputs: The leadingDims input
LeakyRelu<T extends TNumber> - Class in org.tensorflow.op.nn: Computes rectified linear: max(features, features * alpha).
LeakyRelu(Operation) - Constructor for class org.tensorflow.op.nn.LeakyRelu
leakyRelu(Operand<T>, LeakyRelu.Options...) - Method in class org.tensorflow.op.NnOps: Computes rectified linear: max(features, features * alpha).
LeakyRelu.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
LeakyRelu.Options - Class in org.tensorflow.op.nn: Optional attributes for LeakyRelu
LeakyReluGrad<T extends TNumber> - Class in org.tensorflow.op.data: Computes rectified linear gradients for a LeakyRelu operation.
LeakyReluGrad(Operation) - Constructor for class org.tensorflow.op.data.LeakyReluGrad
LeakyReluGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.data
LeakyReluGrad.Options - Class in org.tensorflow.op.data: Optional attributes for LeakyReluGrad
LearnedUnigramCandidateSampler - Class in org.tensorflow.op.nn: Generates labels for candidate sampling with a learned unigram distribution.
LearnedUnigramCandidateSampler(Operation) - Constructor for class org.tensorflow.op.nn.LearnedUnigramCandidateSampler
learnedUnigramCandidateSampler(Operand<TInt64>, Long, Long, Boolean, Long, LearnedUnigramCandidateSampler.Options...) - Method in class org.tensorflow.op.NnOps: Generates labels for candidate sampling with a learned unigram distribution.
LearnedUnigramCandidateSampler.Inputs - Class in org.tensorflow.op.nn
LearnedUnigramCandidateSampler.Options - Class in org.tensorflow.op.nn: Optional attributes for LearnedUnigramCandidateSampler
learningRate - Variable in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsemble.Inputs: shrinkage const for each new tree.
learningRate - Variable in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsembleV2.Inputs: shrinkage const for each new tree.
learningRates - Variable in class org.tensorflow.op.tpu.SendTPUEmbeddingGradients.Inputs: A TensorList of float32 scalars, one for each dynamic learning rate tag: see the comments in //third_party/tensorflow/core/protobuf/tpu/optimization_parameters.proto.
leftNodeContribs() - Method in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplit: Gets leftNodeContribs.
leftNodeContribs() - Method in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplitV2: Gets leftNodeContribs.
leftNodeContribs() - Method in class org.tensorflow.op.estimator.BoostedTreesSparseCalculateBestFeatureSplit: Gets leftNodeContribs.
leftNodeContribs - Variable in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsemble.Inputs: List of rank 2 tensors with left leaf contribs for each of the feature's splits.
leftNodeContribs - Variable in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsembleV2.Inputs: List of rank 2 tensors with left leaf contribs for each of the feature's splits.
leftNodeContribsList() - Method in class org.tensorflow.op.estimator.BoostedTreesCalculateBestGainsPerFeature: Gets leftNodeContribsList.
leftPad - Variable in class org.tensorflow.op.strings.StringNGrams.Inputs: The string to use to pad the left side of the ngram sequence.
LeftShift<T extends TNumber> - Class in org.tensorflow.op.bitwise: Elementwise computes the bitwise left-shift of x and y.
LeftShift(Operation) - Constructor for class org.tensorflow.op.bitwise.LeftShift
leftShift(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.BitwiseOps: Elementwise computes the bitwise left-shift of x and y.
LeftShift.Inputs<T extends TNumber> - Class in org.tensorflow.op.bitwise
LEGACY_VALUE - Static variable in enum org.tensorflow.proto.util.SaverDef.CheckpointFormatVersion: Internal legacy format.
legacyAutotune - Variable in class org.tensorflow.op.data.PrefetchDataset.Inputs: The legacyAutotune attribute
legacyAutotune(Boolean) - Static method in class org.tensorflow.op.data.PrefetchDataset: Sets the legacyAutotune option.
legacyAutotune(Boolean) - Method in class org.tensorflow.op.data.PrefetchDataset.Options: Sets the legacyAutotune option.
LegacyParallelInterleaveDataset - Class in org.tensorflow.op.data: Creates a dataset that applies f to the outputs of input_dataset.
LegacyParallelInterleaveDataset(Operation) - Constructor for class org.tensorflow.op.data.LegacyParallelInterleaveDataset
legacyParallelInterleaveDataset(Operand<? extends TType>, Iterable<Operand<?>>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, LegacyParallelInterleaveDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that applies f to the outputs of input_dataset.
LegacyParallelInterleaveDataset.Inputs - Class in org.tensorflow.op.data
LegacyParallelInterleaveDataset.Options - Class in org.tensorflow.op.data: Optional attributes for LegacyParallelInterleaveDataset
len() - Method in class org.tensorflow.internal.c_api.TF_StringView
len(long) - Method in class org.tensorflow.internal.c_api.TF_StringView
len - Variable in class org.tensorflow.op.strings.Substr.Inputs: Scalar defining the number of characters to include in each substring
length() - Method in class org.tensorflow.internal.c_api.TF_Buffer
length(long) - Method in class org.tensorflow.internal.c_api.TF_Buffer
length() - Method in class org.tensorflow.op.core.TensorListLength: Gets length.
LENGTH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorSliceProto.Extent
LENGTH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
LENGTH_FRAMES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.Summary.Audio
lengths() - Method in class org.tensorflow.op.core.TensorArrayConcat: Gets lengths.
lengths - Variable in class org.tensorflow.op.core.TensorArraySplit.Inputs: The vector of lengths, how to split the rows of value into the TensorArray.
lengths() - Method in class org.tensorflow.op.core.TensorListConcat: Gets lengths.
lengths - Variable in class org.tensorflow.op.core.TensorListSplit.Inputs: The lengths input
Less - Class in org.tensorflow.op.math: Returns the truth value of (x < y) element-wise.
Less(Operation) - Constructor for class org.tensorflow.op.math.Less
less(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns the truth value of (x < y) element-wise.
Less.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
LessEqual - Class in org.tensorflow.op.math: Returns the truth value of (x <= y) element-wise.
LessEqual(Operation) - Constructor for class org.tensorflow.op.math.LessEqual
lessEqual(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns the truth value of (x <= y) element-wise.
LessEqual.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
LEVEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.LogMessage: Deprecated.
Lgamma<T extends TNumber> - Class in org.tensorflow.op.math: Computes the log of the absolute value of Gamma(x) element-wise.
Lgamma(Operation) - Constructor for class org.tensorflow.op.math.Lgamma
lgamma(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes the log of the absolute value of Gamma(x) element-wise.
Lgamma.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
lhs - Variable in class org.tensorflow.op.xla.BroadcastHelper.Inputs: the LHS input tensor
lhs - Variable in class org.tensorflow.op.xla.Conv.Inputs: the input tensor
lhs - Variable in class org.tensorflow.op.xla.Dot.Inputs: the LHS tensor
lhsDilation - Variable in class org.tensorflow.op.xla.Conv.Inputs: dilation to apply between input elements
lhsOutput() - Method in class org.tensorflow.op.xla.BroadcastHelper: Gets lhsOutput.
LhsT - Variable in class org.tensorflow.op.xla.Conv.Inputs: The LhsT attribute
LhsT - Variable in class org.tensorflow.op.xla.Dot.Inputs: The LhsT attribute
LIBRARY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphDef
liftToInitScope(T) - Method in class org.tensorflow.op.Ops: Make op an init operation, doing the same for all of it's inputs (and control inputs).
limit - Variable in class org.tensorflow.op.core.CountUpTo.Inputs: If incrementing ref would bring it above limit, instead generates an 'OutOfRange' error.
limit - Variable in class org.tensorflow.op.core.For.Inputs: The upper bound.
limit - Variable in class org.tensorflow.op.core.Range.Inputs: 0-D (scalar).
limit - Variable in class org.tensorflow.op.core.ResourceCountUpTo.Inputs: If incrementing ref would bring it above limit, instead generates an 'OutOfRange' error.
limits - Variable in class org.tensorflow.op.ragged.RaggedRange.Inputs: The limits of each range.
linalg - Variable in class org.tensorflow.op.Ops
LinalgOps - Class in org.tensorflow.op: An API for building linalg operations as Ops
LINE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
linear - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: Should be from a Variable().
linear - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: Should be from a Variable().
linear - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: Should be from a Variable().
linear - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: Should be from a Variable().
linears - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Inputs: Value of linears used in the FTRL optimization algorithm.
linears() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters: Gets linears.
LINES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DebuggedSourceFile
LINES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XPlane
LINES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.SourceFile
LINK_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.LocalLinks
LINKAGE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.PlatformInfo
LINKS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DeviceLocality
LinSpace<T extends TNumber> - Class in org.tensorflow.op.core: Generates values in an interval.
LinSpace(Operation) - Constructor for class org.tensorflow.op.core.LinSpace
LinSpace.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
LIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AttrValue
list_size() - Method in class org.tensorflow.internal.c_api.TF_AttrMetadata
list_size(long) - Method in class org.tensorflow.internal.c_api.TF_AttrMetadata
LIST_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.StructuredValue
Listener_BytePointer - Class in org.tensorflow.internal.c_api
Listener_BytePointer(Pointer) - Constructor for class org.tensorflow.internal.c_api.Listener_BytePointer: Pointer cast constructor.
Listener_BytePointer() - Constructor for class org.tensorflow.internal.c_api.Listener_BytePointer
Listener_String - Class in org.tensorflow.internal.c_api
Listener_String(Pointer) - Constructor for class org.tensorflow.internal.c_api.Listener_String: Pointer cast constructor.
Listener_String() - Constructor for class org.tensorflow.internal.c_api.Listener_String
listSize - Variable in class org.tensorflow.op.AttributeMetadata: The size of the list if this attribute is a list, undefined otherwise.
ListValue - Class in org.tensorflow.proto.framework: Represents a Python list.
ListValue.Builder - Class in org.tensorflow.proto.framework: Represents a Python list.
ListValueOrBuilder - Interface in org.tensorflow.proto.framework
LITTLE_VALUE - Static variable in enum org.tensorflow.proto.util.BundleHeaderProto.Endianness: LITTLE = 0;
littleEndian - Variable in class org.tensorflow.op.io.DecodePaddedRaw.Inputs: Whether the input `input_bytes` is in little-endian order.
littleEndian(Boolean) - Static method in class org.tensorflow.op.io.DecodePaddedRaw: Sets the littleEndian option.
littleEndian(Boolean) - Method in class org.tensorflow.op.io.DecodePaddedRaw.Options: Sets the littleEndian option.
littleEndian - Variable in class org.tensorflow.op.io.DecodeRaw.Inputs: Whether the input `bytes` are in little-endian order.
littleEndian(Boolean) - Static method in class org.tensorflow.op.io.DecodeRaw: Sets the littleEndian option.
littleEndian(Boolean) - Method in class org.tensorflow.op.io.DecodeRaw.Options: Sets the littleEndian option.
LIVE_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AllocatorMemoryUsed
LmdbDataset - Class in org.tensorflow.op.data.experimental: The ExperimentalLMDBDataset operation
LmdbDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.LmdbDataset
LMDBDataset - Class in org.tensorflow.op.data: Creates a dataset that emits the key-value pairs in one or more LMDB files.
LMDBDataset(Operation) - Constructor for class org.tensorflow.op.data.LMDBDataset
lMDBDataset(Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Creates a dataset that emits the key-value pairs in one or more LMDB files.
LmdbDataset.Inputs - Class in org.tensorflow.op.data.experimental
LMDBDataset.Inputs - Class in org.tensorflow.op.data
LmdbReader - Class in org.tensorflow.op.io: A Reader that outputs the records from a LMDB file.
LmdbReader(Operation) - Constructor for class org.tensorflow.op.io.LmdbReader
lmdbReader(LmdbReader.Options...) - Method in class org.tensorflow.op.IoOps: A Reader that outputs the records from a LMDB file.
LmdbReader.Inputs - Class in org.tensorflow.op.io
LmdbReader.Options - Class in org.tensorflow.op.io: Optional attributes for LmdbReader
load(String, String...) - Static method in class org.tensorflow.SavedModelBundle: Load a saved model from an export directory.
load() - Method in class org.tensorflow.SavedModelBundle.Loader: Load a SavedModelBundle with the configured options.
LoadAndRemapMatrix - Class in org.tensorflow.op.linalg: Loads a 2-D (matrix) Tensor with name old_tensor_name from the checkpoint at ckpt_path and potentially reorders its rows and columns using the specified remappings.
LoadAndRemapMatrix(Operation) - Constructor for class org.tensorflow.op.linalg.LoadAndRemapMatrix
loadAndRemapMatrix(Operand<TString>, Operand<TString>, Operand<TInt64>, Operand<TInt64>, Operand<TFloat32>, Long, Long, LoadAndRemapMatrix.Options...) - Method in class org.tensorflow.op.LinalgOps: Loads a 2-D (matrix) Tensor with name old_tensor_name from the checkpoint at ckpt_path and potentially reorders its rows and columns using the specified remappings.
LoadAndRemapMatrix.Inputs - Class in org.tensorflow.op.linalg
LoadAndRemapMatrix.Options - Class in org.tensorflow.op.linalg: Optional attributes for LoadAndRemapMatrix
LoadDataset - Class in org.tensorflow.op.data: The LoadDataset operation
LoadDataset(Operation) - Constructor for class org.tensorflow.op.data.LoadDataset
loadDataset(Operand<TString>, Iterable<Operand<?>>, List<Class<? extends TType>>, List<Shape>, ConcreteFunction, LoadDataset.Options...) - Method in class org.tensorflow.op.DataOps: The LoadDataset operation
LoadDataset.Inputs - Class in org.tensorflow.op.data
LoadDataset.Options - Class in org.tensorflow.op.data: Optional attributes for LoadDataset
loader(String) - Static method in class org.tensorflow.SavedModelBundle: Load a saved model.
loadLibrary(String) - Static method in class org.tensorflow.TensorFlow: Load the dynamic library in filename and register the operations and kernels present in that library.
loadSessionFromSavedModel(TF_SessionOptions, TF_Buffer, String, String[], TF_Graph, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.AbstractTF_Session: Calls TF_LoadSessionFromSavedModel(), and registers a deallocator.
LoadTPUEmbeddingAdadeltaParameters - Class in org.tensorflow.op.tpu: Load Adadelta embedding parameters.
LoadTPUEmbeddingAdadeltaParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters
LoadTPUEmbeddingAdadeltaParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingAdadeltaParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingAdadeltaParameters
LoadTPUEmbeddingAdagradMomentumParameters - Class in org.tensorflow.op.tpu: Load Adagrad Momentum embedding parameters.
LoadTPUEmbeddingAdagradMomentumParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters
LoadTPUEmbeddingAdagradMomentumParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingAdagradMomentumParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingAdagradMomentumParameters
LoadTPUEmbeddingAdagradParameters - Class in org.tensorflow.op.tpu: Load Adagrad embedding parameters.
LoadTPUEmbeddingAdagradParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters
LoadTPUEmbeddingAdagradParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingAdagradParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingAdagradParameters
LoadTPUEmbeddingADAMParameters - Class in org.tensorflow.op.tpu: Load ADAM embedding parameters.
LoadTPUEmbeddingADAMParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters
LoadTPUEmbeddingADAMParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingADAMParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingADAMParameters
LoadTPUEmbeddingCenteredRMSPropParameters - Class in org.tensorflow.op.tpu: Load centered RMSProp embedding parameters.
LoadTPUEmbeddingCenteredRMSPropParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters
LoadTPUEmbeddingCenteredRMSPropParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingCenteredRMSPropParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingCenteredRMSPropParameters
LoadTPUEmbeddingFrequencyEstimatorParameters - Class in org.tensorflow.op.tpu: Load frequency estimator embedding parameters.
LoadTPUEmbeddingFrequencyEstimatorParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters
LoadTPUEmbeddingFrequencyEstimatorParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingFrequencyEstimatorParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingFrequencyEstimatorParameters
LoadTPUEmbeddingFTRLParameters - Class in org.tensorflow.op.tpu: Load FTRL embedding parameters.
LoadTPUEmbeddingFTRLParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters
LoadTPUEmbeddingFTRLParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingFTRLParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingFTRLParameters
LoadTPUEmbeddingMDLAdagradLightParameters - Class in org.tensorflow.op.tpu: Load MDL Adagrad Light embedding parameters.
LoadTPUEmbeddingMDLAdagradLightParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters
LoadTPUEmbeddingMDLAdagradLightParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingMDLAdagradLightParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingMDLAdagradLightParameters
LoadTPUEmbeddingMomentumParameters - Class in org.tensorflow.op.tpu: Load Momentum embedding parameters.
LoadTPUEmbeddingMomentumParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters
LoadTPUEmbeddingMomentumParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingMomentumParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingMomentumParameters
LoadTPUEmbeddingProximalAdagradParameters - Class in org.tensorflow.op.tpu: Load proximal Adagrad embedding parameters.
LoadTPUEmbeddingProximalAdagradParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters
LoadTPUEmbeddingProximalAdagradParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingProximalAdagradParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingProximalAdagradParameters
LoadTPUEmbeddingProximalYogiParameters - Class in org.tensorflow.op.tpu: The LoadTPUEmbeddingProximalYogiParameters operation
LoadTPUEmbeddingProximalYogiParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters
LoadTPUEmbeddingProximalYogiParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingProximalYogiParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingProximalYogiParameters
LoadTPUEmbeddingRMSPropParameters - Class in org.tensorflow.op.tpu: Load RMSProp embedding parameters.
LoadTPUEmbeddingRMSPropParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters
LoadTPUEmbeddingRMSPropParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingRMSPropParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingRMSPropParameters
LoadTPUEmbeddingStochasticGradientDescentParameters - Class in org.tensorflow.op.tpu: Load SGD embedding parameters.
LoadTPUEmbeddingStochasticGradientDescentParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters
LoadTPUEmbeddingStochasticGradientDescentParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingStochasticGradientDescentParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingStochasticGradientDescentParameters
LOCAL_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
LOCALITY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DeviceAttributes
LocalLinks - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.LocalLinks
LocalLinks.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.LocalLinks
LocalLinksOrBuilder - Interface in org.tensorflow.proto.framework
LocalResponseNormalization<T extends TNumber> - Class in org.tensorflow.op.nn: Local Response Normalization.
LocalResponseNormalization(Operation) - Constructor for class org.tensorflow.op.nn.LocalResponseNormalization
localResponseNormalization(Operand<T>, LocalResponseNormalization.Options...) - Method in class org.tensorflow.op.NnOps: Local Response Normalization.
LocalResponseNormalization.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
LocalResponseNormalization.Options - Class in org.tensorflow.op.nn: Optional attributes for LocalResponseNormalization
LocalResponseNormalizationGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Gradients for Local Response Normalization.
LocalResponseNormalizationGrad(Operation) - Constructor for class org.tensorflow.op.nn.LocalResponseNormalizationGrad
LocalResponseNormalizationGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
LocalResponseNormalizationGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for LocalResponseNormalizationGrad
localStep - Variable in class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient.Inputs: The local_step value at which the sparse gradient was computed.
localStep - Variable in class org.tensorflow.op.train.AccumulatorApplyGradient.Inputs: The local_step value at which the gradient was computed.
localStep - Variable in class org.tensorflow.op.train.ResourceAccumulatorApplyGradient.Inputs: The local_step value at which the gradient was computed.
Log<T extends TType> - Class in org.tensorflow.op.math: Computes natural logarithm of x element-wise.
Log(Operation) - Constructor for class org.tensorflow.op.math.Log
log(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes natural logarithm of x element-wise.
Log.Inputs<T extends TType> - Class in org.tensorflow.op.math
Log1p<T extends TType> - Class in org.tensorflow.op.math: Computes natural logarithm of (1 + x) element-wise.
Log1p(Operation) - Constructor for class org.tensorflow.op.math.Log1p
log1p(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes natural logarithm of (1 + x) element-wise.
Log1p.Inputs<T extends TType> - Class in org.tensorflow.op.math
LOG_DEVICE_PLACEMENT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto
LOG_MESSAGE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.Event
logAbsDeterminant() - Method in class org.tensorflow.op.linalg.LogMatrixDeterminant: Gets logAbsDeterminant.
logbase - Variable in class org.tensorflow.op.train.ApplyPowerSign.Inputs: Must be a scalar.
logbase - Variable in class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs: Must be a scalar.
logdir - Variable in class org.tensorflow.op.summary.CreateSummaryFileWriter.Inputs: The logdir input
LogicalAnd - Class in org.tensorflow.op.math: Returns the truth value of x AND y element-wise.
LogicalAnd(Operation) - Constructor for class org.tensorflow.op.math.LogicalAnd
logicalAnd(Operand<TBool>, Operand<TBool>) - Method in class org.tensorflow.op.MathOps: Returns the truth value of x AND y element-wise.
LogicalAnd.Inputs - Class in org.tensorflow.op.math
LogicalNot - Class in org.tensorflow.op.math: Returns the truth value of NOT x element-wise.
LogicalNot(Operation) - Constructor for class org.tensorflow.op.math.LogicalNot
logicalNot(Operand<TBool>) - Method in class org.tensorflow.op.MathOps: Returns the truth value of NOT x element-wise.
LogicalNot.Inputs - Class in org.tensorflow.op.math
LogicalOr - Class in org.tensorflow.op.math: Returns the truth value of x OR y element-wise.
LogicalOr(Operation) - Constructor for class org.tensorflow.op.math.LogicalOr
logicalOr(Operand<TBool>, Operand<TBool>) - Method in class org.tensorflow.op.MathOps: Returns the truth value of x OR y element-wise.
LogicalOr.Inputs - Class in org.tensorflow.op.math
logits() - Method in class org.tensorflow.op.estimator.BoostedTreesPredict: Gets logits.
logits - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmax.Inputs: A CSRSparseMatrix.
logits - Variable in class org.tensorflow.op.nn.LogSoftmax.Inputs: 2-D with shape [batch_size, num_classes].
logits - Variable in class org.tensorflow.op.nn.Softmax.Inputs: 2-D with shape [batch_size, num_classes].
logits - Variable in class org.tensorflow.op.random.Multinomial.Inputs: 2-D Tensor with shape [batch_size, num_classes].
logits - Variable in class org.tensorflow.op.random.StatelessMultinomial.Inputs: 2-D Tensor with shape [batch_size, num_classes].
logitsDimension - Variable in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplit.Inputs: The dimension of logit, i.e., number of classes.
logitsDimension - Variable in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplitV2.Inputs: The dimension of logit, i.e., number of classes.
logitsDimension - Variable in class org.tensorflow.op.estimator.BoostedTreesExampleDebugOutputs.Inputs: scalar, dimension of the logits, to be used for constructing the protos in examples_debug_outputs_serialized.
logitsDimension - Variable in class org.tensorflow.op.estimator.BoostedTreesPredict.Inputs: scalar, dimension of the logits, to be used for partial logits shape.
logitsDimension - Variable in class org.tensorflow.op.estimator.BoostedTreesSparseCalculateBestFeatureSplit.Inputs: The dimension of logit, i.e., number of classes.
logitsDimension - Variable in class org.tensorflow.op.estimator.BoostedTreesTrainingPredict.Inputs: scalar, dimension of the logits, to be used for partial logits shape.
logitsDimension - Variable in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsembleV2.Inputs: scalar, dimension of the logits
logitsDimension(Long) - Static method in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsembleV2: Sets the logitsDimension option.
logitsDimension(Long) - Method in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsembleV2.Options: Sets the logitsDimension option.
LogMatrixDeterminant<T extends TType> - Class in org.tensorflow.op.linalg: Computes the sign and the log of the absolute value of the determinant of one or more square matrices.
LogMatrixDeterminant(Operation) - Constructor for class org.tensorflow.op.linalg.LogMatrixDeterminant
logMatrixDeterminant(Operand<T>) - Method in class org.tensorflow.op.LinalgOps: Computes the sign and the log of the absolute value of the determinant of one or more square matrices.
LogMatrixDeterminant.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
LogMemoryProtos - Class in org.tensorflow.proto.framework
LogMessage - Class in org.tensorflow.proto.util: Deprecated.
LogMessage.Builder - Class in org.tensorflow.proto.util: Deprecated.

Protocol buffer used for logging messages to the events file.
LogMessage.Level - Enum in org.tensorflow.proto.util: Deprecated.

Protobuf enum tensorflow.LogMessage.Level
LogMessageOrBuilder - Interface in org.tensorflow.proto.util: Deprecated.
LogNormalDistribution - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.LogNormalDistribution
LogNormalDistribution.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.LogNormalDistribution
LogNormalDistributionOrBuilder - Interface in org.tensorflow.proto.framework
logProbability() - Method in class org.tensorflow.op.nn.CtcBeamSearchDecoder: Gets logProbability.
logProbability() - Method in class org.tensorflow.op.nn.CtcGreedyDecoder: Gets logProbability.
LogSoftmax<T extends TNumber> - Class in org.tensorflow.op.nn: Computes log softmax activations.
LogSoftmax(Operation) - Constructor for class org.tensorflow.op.nn.LogSoftmax
logsoftmax() - Method in class org.tensorflow.op.nn.LogSoftmax: Gets logsoftmax.
logSoftmax(Operand<T>) - Method in class org.tensorflow.op.NnOps: Computes log softmax activations.
LogSoftmax.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
LogUniformCandidateSampler - Class in org.tensorflow.op.random: Generates labels for candidate sampling with a log-uniform distribution.
LogUniformCandidateSampler(Operation) - Constructor for class org.tensorflow.op.random.LogUniformCandidateSampler
logUniformCandidateSampler(Operand<TInt64>, Long, Long, Boolean, Long, LogUniformCandidateSampler.Options...) - Method in class org.tensorflow.op.RandomOps: Generates labels for candidate sampling with a log-uniform distribution.
LogUniformCandidateSampler.Inputs - Class in org.tensorflow.op.random
LogUniformCandidateSampler.Options - Class in org.tensorflow.op.random: Optional attributes for LogUniformCandidateSampler
logWarning - Variable in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset.Inputs: The logWarning attribute
logWarning(Boolean) - Static method in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset: Sets the logWarning option.
logWarning(Boolean) - Method in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset.Options: Sets the logWarning option.
logWarning - Variable in class org.tensorflow.op.data.IgnoreErrorsDataset.Inputs: The logWarning attribute
logWarning(Boolean) - Static method in class org.tensorflow.op.data.IgnoreErrorsDataset: Sets the logWarning option.
logWarning(Boolean) - Method in class org.tensorflow.op.data.IgnoreErrorsDataset.Options: Sets the logWarning option.
Lookup(BytePointer, GradFunc) - Method in class org.tensorflow.internal.c_api.GradOpRegistry: Sets 'func' to the gradient function for 'op' and returns Status OK if the gradient function for 'op' exists in the registry.
Lookup(String, GradFunc) - Method in class org.tensorflow.internal.c_api.GradOpRegistry
lookupId - Variable in class org.tensorflow.op.tpu.EmbeddingActivations.Inputs: Identifier of the set of embedding indices which produced these activations.
lookupId - Variable in class org.tensorflow.op.tpu.TPUEmbeddingActivations.Inputs: Deprecated.

Identifier of the set of embedding indices which produced these activations.
LookupTableExport<T extends TType,U extends TType> - Class in org.tensorflow.op.core: Outputs all keys and values in the table.
LookupTableExport(Operation) - Constructor for class org.tensorflow.op.core.LookupTableExport
lookupTableExport(Operand<? extends TType>, Class<T>, Class) - Method in class org.tensorflow.op.Ops: Outputs all keys and values in the table.
LookupTableExport.Inputs - Class in org.tensorflow.op.core
LookupTableFind - Class in org.tensorflow.op.core: Looks up keys in a table, outputs the corresponding values.
LookupTableFind(Operation) - Constructor for class org.tensorflow.op.core.LookupTableFind
lookupTableFind(Operand<? extends TType>, Operand<? extends TType>, Operand) - Method in class org.tensorflow.op.Ops: Looks up keys in a table, outputs the corresponding values.
LookupTableFind.Inputs - Class in org.tensorflow.op.core
LookupTableImport - Class in org.tensorflow.op.core: Replaces the contents of the table with the specified keys and values.
LookupTableImport(Operation) - Constructor for class org.tensorflow.op.core.LookupTableImport
lookupTableImport(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Replaces the contents of the table with the specified keys and values.
LookupTableImport.Inputs - Class in org.tensorflow.op.core
LookupTableInsert - Class in org.tensorflow.op.core: Updates the table to associates keys with values.
LookupTableInsert(Operation) - Constructor for class org.tensorflow.op.core.LookupTableInsert
lookupTableInsert(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Updates the table to associates keys with values.
LookupTableInsert.Inputs - Class in org.tensorflow.op.core
LookupTableRemove - Class in org.tensorflow.op.core: Removes keys and its associated values from a table.
LookupTableRemove(Operation) - Constructor for class org.tensorflow.op.core.LookupTableRemove
LookupTableRemove.Inputs - Class in org.tensorflow.op.core
LookupTableSize - Class in org.tensorflow.op.core: Computes the number of elements in the given table.
LookupTableSize(Operation) - Constructor for class org.tensorflow.op.core.LookupTableSize
lookupTableSize(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Computes the number of elements in the given table.
LookupTableSize.Inputs - Class in org.tensorflow.op.core
LOOP_ENTER_NAMES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.WhileContextDef
LOOP_EXIT_NAMES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.WhileContextDef
LOOP_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
LoopCond - Class in org.tensorflow.op.core: Forwards the input to the output.
LoopCond(Operation) - Constructor for class org.tensorflow.op.core.LoopCond
loopCond(Operand<TBool>) - Method in class org.tensorflow.op.Ops: Forwards the input to the output.
LoopCond.Inputs - Class in org.tensorflow.op.core
loss() - Method in class org.tensorflow.op.nn.CtcLoss: Gets loss.
loss() - Method in class org.tensorflow.op.nn.CTCLossV2: Gets loss.
loss() - Method in class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits: Gets loss.
loss() - Method in class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits: Gets loss.
lossType - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: Type of the primal loss.
lower - Variable in class org.tensorflow.op.linalg.BandedTriangularSolve.Inputs: The lower attribute
lower(Boolean) - Static method in class org.tensorflow.op.linalg.BandedTriangularSolve: Sets the lower option.
lower(Boolean) - Method in class org.tensorflow.op.linalg.BandedTriangularSolve.Options: Sets the lower option.
lower - Variable in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve.Inputs: The lower attribute
lower(Boolean) - Static method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve: Sets the lower option.
lower(Boolean) - Method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve.Options: Sets the lower option.
lower - Variable in class org.tensorflow.op.linalg.TriangularSolve.Inputs: Boolean indicating whether the innermost matrices in `matrix` are lower or upper triangular.
lower(Boolean) - Static method in class org.tensorflow.op.linalg.TriangularSolve: Sets the lower option.
lower(Boolean) - Method in class org.tensorflow.op.linalg.TriangularSolve.Options: Sets the lower option.
lower - Variable in class org.tensorflow.op.risc.RiscTriangularSolve.Inputs: The lower attribute
lower(Boolean) - Static method in class org.tensorflow.op.risc.RiscTriangularSolve: Sets the lower option.
lower(Boolean) - Method in class org.tensorflow.op.risc.RiscTriangularSolve.Options: Sets the lower option.
Lower - Class in org.tensorflow.op.strings: Converts all uppercase characters into their respective lowercase replacements.
Lower(Operation) - Constructor for class org.tensorflow.op.strings.Lower
lower(Operand<TString>, Lower.Options...) - Method in class org.tensorflow.op.StringsOps: Converts all uppercase characters into their respective lowercase replacements.
lower - Variable in class org.tensorflow.op.xla.SelfAdjointEig.Inputs: a boolean specifies whether the calculation is done with the lower triangular part or the upper triangular part.
Lower.Inputs - Class in org.tensorflow.op.strings
Lower.Options - Class in org.tensorflow.op.strings: Optional attributes for Lower
LowerBound - Class in org.tensorflow.op.core: Applies lower_bound(sorted_search_values, values) along each row.
LowerBound(Operation) - Constructor for class org.tensorflow.op.core.LowerBound
LowerBound.Inputs<T extends TType> - Class in org.tensorflow.op.core
lowerFrequencyLimit - Variable in class org.tensorflow.op.audio.Mfcc.Inputs: The lowest frequency to use when calculating the ceptstrum.
lowerFrequencyLimit(Float) - Static method in class org.tensorflow.op.audio.Mfcc: Sets the lowerFrequencyLimit option.
lowerFrequencyLimit(Float) - Method in class org.tensorflow.op.audio.Mfcc.Options: Sets the lowerFrequencyLimit option.
lr - Variable in class org.tensorflow.op.train.ApplyAdadelta.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyAdagrad.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyAdagradV2.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyAddSign.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyMomentum.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyPowerSign.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyProximalAdagrad.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.NegTrain.Inputs: The lr input
lr - Variable in class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyAdagrad.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyAddSign.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyMomentum.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: Scaling factor.
lrPower - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: Scaling factor.
lrPower - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: Scaling factor.
lrPower - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: Scaling factor.
lrPower - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: Scaling factor.
LSTMBlockCell<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the LSTM cell forward propagation for 1 time step.
LSTMBlockCell(Operation) - Constructor for class org.tensorflow.op.nn.LSTMBlockCell
LSTMBlockCell.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
LSTMBlockCell.Options - Class in org.tensorflow.op.nn: Optional attributes for LSTMBlockCell
LSTMBlockCellGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the LSTM cell backward propagation for 1 timestep.
LSTMBlockCellGrad(Operation) - Constructor for class org.tensorflow.op.nn.LSTMBlockCellGrad
LSTMBlockCellGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
Lu<T extends TType,U extends TNumber> - Class in org.tensorflow.op.linalg: Computes the LU decomposition of one or more square matrices.
Lu(Operation) - Constructor for class org.tensorflow.op.linalg.Lu
lu() - Method in class org.tensorflow.op.linalg.Lu: Gets lu.
lu(Operand<T>) - Method in class org.tensorflow.op.LinalgOps: Computes the LU decomposition of one or more square matrices.
lu(Operand<T>, Class) - Method in class org.tensorflow.op.LinalgOps: Computes the LU decomposition of one or more square matrices.
Lu.Inputs<T extends TType> - Class in org.tensorflow.op.linalg

M

m - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization.Inputs: A 1D mean Tensor with size matching the last dimension of t.
m - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad.Inputs: A 1D mean Tensor with size matching the last dimension of t.
m - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: A 1D mean Tensor with size matching the last dimension of t.
m - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Inputs: The m input
m() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters: Gets m.
m - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: Should be from a Variable().
m - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: Should be from a Variable().
m - Variable in class org.tensorflow.op.train.ApplyAddSign.Inputs: Should be from a Variable().
m - Variable in class org.tensorflow.op.train.ApplyPowerSign.Inputs: Should be from a Variable().
m - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: Should be from a Variable().
m - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: Should be from a Variable().
m - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Should be from a Variable().
m - Variable in class org.tensorflow.op.train.ResourceApplyAddSign.Inputs: Should be from a Variable().
m - Variable in class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs: Should be from a Variable().
MACHINE_CONFIGURATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.TestResults
MACHINE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.PlatformInfo
MachineConfiguration - Class in org.tensorflow.proto.util.testlog: Protobuf type tensorflow.MachineConfiguration
MachineConfiguration.Builder - Class in org.tensorflow.proto.util.testlog: Protobuf type tensorflow.MachineConfiguration
MachineConfigurationOrBuilder - Interface in org.tensorflow.proto.util.testlog
magnitudeSquared - Variable in class org.tensorflow.op.audio.AudioSpectrogram.Inputs: Whether to return the squared magnitude or just the magnitude.
magnitudeSquared(Boolean) - Static method in class org.tensorflow.op.audio.AudioSpectrogram: Sets the magnitudeSquared option.
magnitudeSquared(Boolean) - Method in class org.tensorflow.op.audio.AudioSpectrogram.Options: Sets the magnitudeSquared option.
maindiag - Variable in class org.tensorflow.op.linalg.TridiagonalMatMul.Inputs: Tensor of shape [..., 1, M], representing main diagonals of tri-diagonal matrices to the left of multiplication.
MakeIterator - Class in org.tensorflow.op.data: Makes a new iterator from the given dataset and stores it in iterator.
MakeIterator(Operation) - Constructor for class org.tensorflow.op.data.MakeIterator
makeIterator(Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.DataOps: Makes a new iterator from the given dataset and stores it in iterator.
MakeIterator.Inputs - Class in org.tensorflow.op.data
makeOpName(String) - Method in class org.tensorflow.op.GradientScope
makeOpName(String) - Method in class org.tensorflow.op.OpScope
makeOpName(String) - Method in interface org.tensorflow.op.Scope: Create a unique name for an operator and reserves it, using a provided default if necessary.
MakeUnique - Class in org.tensorflow.op.core: Make all elements in the non-Batch dimension unique, but "close" to their initial value.
MakeUnique(Operation) - Constructor for class org.tensorflow.op.core.MakeUnique
makeUnique(String) - Method in class org.tensorflow.op.GradientScope
makeUnique(Operand<TFloat32>) - Method in class org.tensorflow.op.Ops: Make all elements in the non-Batch dimension unique, but "close" to their initial value.
makeUnique(String) - Method in class org.tensorflow.op.OpScope
makeUnique(String) - Method in interface org.tensorflow.op.Scope: Makes a unique name from id and reserves it.
MakeUnique.Inputs - Class in org.tensorflow.op.core
MANUAL_VALUE - Static variable in enum org.tensorflow.proto.framework.RewriterConfig.MemOptType: Driven by manual op-level annotations.
manualSharding - Variable in class org.tensorflow.op.xla.SpmdFullToShardShape.Inputs: The manualSharding attribute
manualSharding - Variable in class org.tensorflow.op.xla.SpmdShardToFullShape.Inputs: The manualSharding attribute
map(InfoMap) - Method in class org.tensorflow.internal.c_api.presets.tensorflow
MAP_AND_BATCH_FUSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.OptimizationOptions
MAP_AND_FILTER_FUSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.OptimizationOptions
MAP_FUSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.OptimizationOptions
MAP_PARALLELIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.OptimizationOptions
MapAndBatchDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that fuses mapping with batching.
MapAndBatchDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.MapAndBatchDataset
MapAndBatchDataset - Class in org.tensorflow.op.data: Creates a dataset that fuses mapping with batching.
MapAndBatchDataset(Operation) - Constructor for class org.tensorflow.op.data.MapAndBatchDataset
mapAndBatchDataset(Operand<? extends TType>, Iterable<Operand<?>>, Operand<TInt64>, Operand<TInt64>, Operand<TBool>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, MapAndBatchDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that fuses mapping with batching.
MapAndBatchDataset.Inputs - Class in org.tensorflow.op.data.experimental
MapAndBatchDataset.Inputs - Class in org.tensorflow.op.data
MapAndBatchDataset.Options - Class in org.tensorflow.op.data.experimental: Optional attributes for MapAndBatchDataset
MapAndBatchDataset.Options - Class in org.tensorflow.op.data: Optional attributes for MapAndBatchDataset
MapClear - Class in org.tensorflow.op.core: Op removes all elements in the underlying container.
MapClear(Operation) - Constructor for class org.tensorflow.op.core.MapClear
mapClear(List<Class<? extends TType>>, MapClear.Options...) - Method in class org.tensorflow.op.Ops: Op removes all elements in the underlying container.
MapClear.Inputs - Class in org.tensorflow.op.core
MapClear.Options - Class in org.tensorflow.op.core: Optional attributes for MapClear
MapDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that applies f to the outputs of input_dataset.
MapDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.MapDataset
MapDataset - Class in org.tensorflow.op.data: Creates a dataset that applies f to the outputs of input_dataset.
MapDataset(Operation) - Constructor for class org.tensorflow.op.data.MapDataset
mapDataset(Operand<? extends TType>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, MapDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that applies f to the outputs of input_dataset.
MapDataset.Inputs - Class in org.tensorflow.op.data.experimental
MapDataset.Inputs - Class in org.tensorflow.op.data
MapDataset.Options - Class in org.tensorflow.op.data.experimental: Optional attributes for MapDataset
MapDataset.Options - Class in org.tensorflow.op.data: Optional attributes for MapDataset
MapDefun - Class in org.tensorflow.op.core: Maps a function on the list of tensors unpacked from arguments on dimension 0.
MapDefun(Operation) - Constructor for class org.tensorflow.op.core.MapDefun
MapDefun.Inputs - Class in org.tensorflow.op.core
MapDefun.Options - Class in org.tensorflow.op.core: Optional attributes for MapDefun
mapDense(RawTensor) - Method in class org.tensorflow.internal.types.TBfloat16Mapper
mapDense(RawTensor) - Method in class org.tensorflow.internal.types.TBoolMapper
mapDense(RawTensor) - Method in class org.tensorflow.internal.types.TFloat16Mapper
mapDense(RawTensor) - Method in class org.tensorflow.internal.types.TFloat32Mapper
mapDense(RawTensor) - Method in class org.tensorflow.internal.types.TFloat64Mapper
mapDense(RawTensor) - Method in class org.tensorflow.internal.types.TInt32Mapper
mapDense(RawTensor) - Method in class org.tensorflow.internal.types.TInt64Mapper
mapDense(RawTensor) - Method in class org.tensorflow.internal.types.TStringMapper
mapDense(RawTensor) - Method in class org.tensorflow.internal.types.TUint8Mapper
mapDense(RawTensor) - Method in class org.tensorflow.TensorMapper: Maps the provided dense raw tensor as a tensor of type T.
MapIncompleteSize - Class in org.tensorflow.op.core: Op returns the number of incomplete elements in the underlying container.
MapIncompleteSize(Operation) - Constructor for class org.tensorflow.op.core.MapIncompleteSize
mapIncompleteSize(List<Class<? extends TType>>, MapIncompleteSize.Options...) - Method in class org.tensorflow.op.Ops: Op returns the number of incomplete elements in the underlying container.
MapIncompleteSize.Inputs - Class in org.tensorflow.op.core
MapIncompleteSize.Options - Class in org.tensorflow.op.core: Optional attributes for MapIncompleteSize
MapPeek - Class in org.tensorflow.op.core: Op peeks at the values at the specified key.
MapPeek(Operation) - Constructor for class org.tensorflow.op.core.MapPeek
mapPeek(Operand<TInt64>, Operand<TInt32>, List<Class<? extends TType>>, MapPeek.Options...) - Method in class org.tensorflow.op.Ops: Op peeks at the values at the specified key.
MapPeek.Inputs - Class in org.tensorflow.op.core
MapPeek.Options - Class in org.tensorflow.op.core: Optional attributes for MapPeek
mapper() - Method in class org.tensorflow.internal.types.registry.TensorTypeInfo: Returns an object used to map raw tensors to a tensor of this type
MapSize - Class in org.tensorflow.op.core: Op returns the number of elements in the underlying container.
MapSize(Operation) - Constructor for class org.tensorflow.op.core.MapSize
mapSize(List<Class<? extends TType>>, MapSize.Options...) - Method in class org.tensorflow.op.Ops: Op returns the number of elements in the underlying container.
MapSize.Inputs - Class in org.tensorflow.op.core
MapSize.Options - Class in org.tensorflow.op.core: Optional attributes for MapSize
MapStage - Class in org.tensorflow.op.core: Stage (key, values) in the underlying container which behaves like a hashtable.
MapStage(Operation) - Constructor for class org.tensorflow.op.core.MapStage
mapStage(Operand<TInt64>, Operand<TInt32>, Iterable<Operand<?>>, List<Class<? extends TType>>, MapStage.Options...) - Method in class org.tensorflow.op.Ops: Stage (key, values) in the underlying container which behaves like a hashtable.
MapStage.Inputs - Class in org.tensorflow.op.core
MapStage.Options - Class in org.tensorflow.op.core: Optional attributes for MapStage
MapUnstage - Class in org.tensorflow.op.core: Op removes and returns the values associated with the key from the underlying container.
MapUnstage(Operation) - Constructor for class org.tensorflow.op.core.MapUnstage
mapUnstage(Operand<TInt64>, Operand<TInt32>, List<Class<? extends TType>>, MapUnstage.Options...) - Method in class org.tensorflow.op.Ops: Op removes and returns the values associated with the key from the underlying container.
MapUnstage.Inputs - Class in org.tensorflow.op.core
MapUnstage.Options - Class in org.tensorflow.op.core: Optional attributes for MapUnstage
MapUnstageNoKey - Class in org.tensorflow.op.core: Op removes and returns a random (key, value) from the underlying container.
MapUnstageNoKey(Operation) - Constructor for class org.tensorflow.op.core.MapUnstageNoKey
mapUnstageNoKey(Operand<TInt32>, List<Class<? extends TType>>, MapUnstageNoKey.Options...) - Method in class org.tensorflow.op.Ops: Op removes and returns a random (key, value) from the underlying container.
MapUnstageNoKey.Inputs - Class in org.tensorflow.op.core
MapUnstageNoKey.Options - Class in org.tensorflow.op.core: Optional attributes for MapUnstageNoKey
MatchingFiles - Class in org.tensorflow.op.io: Returns the set of files matching one or more glob patterns.
MatchingFiles(Operation) - Constructor for class org.tensorflow.op.io.MatchingFiles
matchingFiles(Operand<TString>) - Method in class org.tensorflow.op.IoOps: Returns the set of files matching one or more glob patterns.
MatchingFiles.Inputs - Class in org.tensorflow.op.io
MatchingFilesDataset - Class in org.tensorflow.op.data.experimental: The ExperimentalMatchingFilesDataset operation
MatchingFilesDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.MatchingFilesDataset
MatchingFilesDataset - Class in org.tensorflow.op.data: The MatchingFilesDataset operation
MatchingFilesDataset(Operation) - Constructor for class org.tensorflow.op.data.MatchingFilesDataset
matchingFilesDataset(Operand<TString>) - Method in class org.tensorflow.op.DataOps: The MatchingFilesDataset operation
MatchingFilesDataset.Inputs - Class in org.tensorflow.op.data.experimental
MatchingFilesDataset.Inputs - Class in org.tensorflow.op.data
math - Variable in class org.tensorflow.op.Ops
MathOps - Class in org.tensorflow.op: An API for building math operations as Ops
MatMul<T extends TType> - Class in org.tensorflow.op.linalg: Multiply the matrix "a" by the matrix "b".
MatMul(Operation) - Constructor for class org.tensorflow.op.linalg.MatMul
matMul(Operand<T>, Operand<T>, MatMul.Options...) - Method in class org.tensorflow.op.LinalgOps: Multiply the matrix "a" by the matrix "b".
MatMul.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
MatMul.Options - Class in org.tensorflow.op.linalg: Optional attributes for MatMul
matrix - Variable in class org.tensorflow.op.linalg.BandedTriangularSolve.Inputs: The matrix input
matrix - Variable in class org.tensorflow.op.linalg.BatchMatrixSolve.Inputs: The matrix input
matrix - Variable in class org.tensorflow.op.linalg.BatchMatrixSolveLs.Inputs: The matrix input
matrix - Variable in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve.Inputs: The matrix input
matrix - Variable in class org.tensorflow.op.linalg.MatrixSolveLs.Inputs: Shape is [..., M, N].
matrix - Variable in class org.tensorflow.op.linalg.Solve.Inputs: Shape is [..., M, M].
matrix - Variable in class org.tensorflow.op.linalg.TriangularSolve.Inputs: Shape is [..., M, M].
matrix - Variable in class org.tensorflow.op.risc.RiscTriangularSolve.Inputs: The matrix input
MatrixDiag<T extends TType> - Class in org.tensorflow.op.linalg: Returns a batched diagonal tensor with given batched diagonal values.
MatrixDiag(Operation) - Constructor for class org.tensorflow.op.linalg.MatrixDiag
matrixDiag(Operand<T>, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Operand<T>) - Method in class org.tensorflow.op.LinalgOps: Returns a batched diagonal tensor with given batched diagonal values.
MatrixDiag.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
MatrixDiagPart<T extends TType> - Class in org.tensorflow.op.linalg: Returns the batched diagonal part of a batched tensor.
MatrixDiagPart(Operation) - Constructor for class org.tensorflow.op.linalg.MatrixDiagPart
matrixDiagPart(Operand<T>, Operand<TInt32>, Operand<T>) - Method in class org.tensorflow.op.LinalgOps: Returns the batched diagonal part of a batched tensor.
MatrixDiagPart.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
MatrixDiagPartV3<T extends TType> - Class in org.tensorflow.op.linalg: Returns the batched diagonal part of a batched tensor.
MatrixDiagPartV3(Operation) - Constructor for class org.tensorflow.op.linalg.MatrixDiagPartV3
matrixDiagPartV3(Operand<T>, Operand<TInt32>, Operand<T>, MatrixDiagPartV3.Options...) - Method in class org.tensorflow.op.LinalgOps: Returns the batched diagonal part of a batched tensor.
MatrixDiagPartV3.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
MatrixDiagPartV3.Options - Class in org.tensorflow.op.linalg: Optional attributes for MatrixDiagPartV3
MatrixDiagV3<T extends TType> - Class in org.tensorflow.op.linalg: Returns a batched diagonal tensor with given batched diagonal values.
MatrixDiagV3(Operation) - Constructor for class org.tensorflow.op.linalg.MatrixDiagV3
matrixDiagV3(Operand<T>, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Operand<T>, MatrixDiagV3.Options...) - Method in class org.tensorflow.op.LinalgOps: Returns a batched diagonal tensor with given batched diagonal values.
MatrixDiagV3.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
MatrixDiagV3.Options - Class in org.tensorflow.op.linalg: Optional attributes for MatrixDiagV3
MatrixLogarithm<T extends TType> - Class in org.tensorflow.op.linalg: Computes the matrix logarithm of one or more square matrices: \(log(exp(A)) = A\)
MatrixLogarithm(Operation) - Constructor for class org.tensorflow.op.linalg.MatrixLogarithm
MatrixLogarithm.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
MatrixSetDiag<T extends TType> - Class in org.tensorflow.op.linalg: Returns a batched matrix tensor with new batched diagonal values.
MatrixSetDiag(Operation) - Constructor for class org.tensorflow.op.linalg.MatrixSetDiag
matrixSetDiag(Operand<T>, Operand<T>, Operand<TInt32>, MatrixSetDiag.Options...) - Method in class org.tensorflow.op.LinalgOps: Returns a batched matrix tensor with new batched diagonal values.
MatrixSetDiag.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
MatrixSetDiag.Options - Class in org.tensorflow.op.linalg: Optional attributes for MatrixSetDiag
MatrixSolveLs<T extends TType> - Class in org.tensorflow.op.linalg: Solves one or more linear least-squares problems.
MatrixSolveLs(Operation) - Constructor for class org.tensorflow.op.linalg.MatrixSolveLs
matrixSolveLs(Operand<T>, Operand<T>, Operand<TFloat64>, MatrixSolveLs.Options...) - Method in class org.tensorflow.op.LinalgOps: Solves one or more linear least-squares problems.
MatrixSolveLs.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
MatrixSolveLs.Options - Class in org.tensorflow.op.linalg: Optional attributes for MatrixSolveLs
Max<T extends TNumber> - Class in org.tensorflow.op.core: Computes the maximum of elements across dimensions of a tensor.
Max(Operation) - Constructor for class org.tensorflow.op.core.Max
max - Variable in class org.tensorflow.op.image.QuantizedResizeBilinear.Inputs: The max input
max(Operand<T>, Operand<? extends TNumber>, Max.Options...) - Method in class org.tensorflow.op.Ops: Computes the maximum of elements across dimensions of a tensor.
max - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Inputs: The max attribute
max(Float) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs: Sets the max option.
max(Float) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Options: Sets the max option.
max - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Inputs: The max attribute
max(Float) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient: Sets the max option.
max(Float) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Options: Sets the max option.
max - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars.Inputs: The max input
max - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Inputs: The max input
max - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel.Inputs: The max input
max - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Inputs: The max input
max() - Method in class org.tensorflow.op.risc.RiscMax: Gets max.
Max.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
Max.Options - Class in org.tensorflow.op.core: Optional attributes for Max
MAX_BYTE_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
MAX_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
MAX_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.HistogramProto
MAX_FOLDED_CONSTANT_IN_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OptimizerOptions
MAX_INTRA_OP_PARALLELISM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.ThreadingOptions
MAX_SESSION_DURATION_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
MAX_TO_KEEP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.SaverDef
MAX_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.MetricEntry
maxA - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: The float value that the highest quantized a value represents.
maxA - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: The float value that the highest quantized a value represents.
maxA - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: The float value that the highest quantized a value represents.
maxA - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The float value that the highest quantized a value represents.
maxA - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The maxA input
maxA - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The maxA input
maxActivations() - Method in class org.tensorflow.op.nn.QuantizedRelu: Gets maxActivations.
maxActivations() - Method in class org.tensorflow.op.nn.QuantizedRelu6: Gets maxActivations.
maxActivations() - Method in class org.tensorflow.op.nn.QuantizedReluX: Gets maxActivations.
maxAttempts - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: Number of attempts at generating a cropped region of the image of the specified constraints.
maxAttempts(Long) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Sets the maxAttempts option.
maxAttempts(Long) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options: Sets the maxAttempts option.
maxAttempts - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: Number of attempts at generating a cropped region of the image of the specified constraints.
maxAttempts(Long) - Static method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Sets the maxAttempts option.
maxAttempts(Long) - Method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Options: Sets the maxAttempts option.
maxB - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: The float value that the highest quantized b value represents.
maxB - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: The float value that the highest quantized b value represents.
maxB - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: The float value that the highest quantized b value represents.
maxB - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The float value that the highest quantized b value represents.
maxB - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The maxB input
maxB - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The maxB input
maxBatchSize - Variable in class org.tensorflow.op.core.Batch.Inputs: The maxBatchSize attribute
maxBatchSize - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: Batch sizes will never be bigger than this.
maxBias - Variable in class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs: The float value that the highest quantized bias value represents.
maxBufferSize - Variable in class org.tensorflow.op.data.MultiDeviceIteratorInit.Inputs: The maximum size of the host side per device buffer to keep.
maxDepth - Variable in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsemble.Inputs: Max depth of the tree to build.
maxDepth - Variable in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsembleV2.Inputs: Max depth of the tree to build.
maxElements - Variable in class org.tensorflow.op.estimator.BoostedTreesCreateQuantileStreamResource.Inputs: int; The maximum number of data points that can be fed to the stream.
maxElements(Long) - Static method in class org.tensorflow.op.estimator.BoostedTreesCreateQuantileStreamResource: Sets the maxElements option.
maxElements(Long) - Method in class org.tensorflow.op.estimator.BoostedTreesCreateQuantileStreamResource.Options: Sets the maxElements option.
maxEnqueuedBatches - Variable in class org.tensorflow.op.core.Batch.Inputs: The maxEnqueuedBatches attribute
maxEnqueuedBatches(Long) - Static method in class org.tensorflow.op.core.Batch: Sets the maxEnqueuedBatches option.
maxEnqueuedBatches(Long) - Method in class org.tensorflow.op.core.Batch.Options: Sets the maxEnqueuedBatches option.
maxEnqueuedBatches - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: Maximum number of batches enqueued.
maxEnqueuedBatches(Long) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the maxEnqueuedBatches option.
maxEnqueuedBatches(Long) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the maxEnqueuedBatches option.
maxFeatures - Variable in class org.tensorflow.op.nn.QuantizedRelu.Inputs: The float value that the highest quantized value represents.
maxFeatures - Variable in class org.tensorflow.op.nn.QuantizedRelu6.Inputs: The float value that the highest quantized value represents.
maxFeatures - Variable in class org.tensorflow.op.nn.QuantizedReluX.Inputs: The float value that the highest quantized value represents.
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The float value that the highest quantized filter value represents.
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The maximum value of the filter tensor.
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The float value that the maximum quantized filter value represents.
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The float value that the maximum quantized filter value represents.
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The float value that the maximum quantized filter value represents.
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The float value that the maximum quantized filter value represents.
maxFreezedOutput - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The maxFreezedOutput input
maxFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The maxFreezedOutput input
maxFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The maxFreezedOutput input
maxFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The maxFreezedOutput input
maxFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The maxFreezedOutput input
maxFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The maxFreezedOutput input
maxFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The maxFreezedOutput input
maxFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The maximum float value of the output tensor.
maxFreezedOutput - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The maxFreezedOutput input
maxFreezedOutput - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The maxFreezedOutput input
maxImages - Variable in class org.tensorflow.op.summary.ImageSummary.Inputs: Max number of batch elements to generate images for.
maxImages(Long) - Static method in class org.tensorflow.op.summary.ImageSummary: Sets the maxImages option.
maxImages(Long) - Method in class org.tensorflow.op.summary.ImageSummary.Options: Sets the maxImages option.
maxImages - Variable in class org.tensorflow.op.summary.WriteImageSummary.Inputs: The maxImages attribute
maxImages(Long) - Static method in class org.tensorflow.op.summary.WriteImageSummary: Sets the maxImages option.
maxImages(Long) - Method in class org.tensorflow.op.summary.WriteImageSummary.Options: Sets the maxImages option.
Maximum<T extends TNumber> - Class in org.tensorflow.op.math: Returns the max of x and y (i.e.
Maximum(Operation) - Constructor for class org.tensorflow.op.math.Maximum
maximum(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns the max of x and y (i.e.
Maximum.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
MAXIMUM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.BoundedTensorSpecProto
MAXIMUM_ITERATIONS_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.WhileContextDef
maxInput - Variable in class org.tensorflow.op.nn.QuantizedAvgPool.Inputs: The float value that the highest quantized input value represents.
maxInput - Variable in class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs: The float value that the highest quantized input value represents.
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The float value that the highest quantized input value represents.
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The maximum value of the input tensor.
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The float value that the maximum quantized input value represents.
maxInput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The float value that the maximum quantized input value represents.
maxInput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The float value that the maximum quantized input value represents.
maxInput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The float value that the maximum quantized input value represents.
maxInput - Variable in class org.tensorflow.op.nn.QuantizedMaxPool.Inputs: The float value that the highest quantized input value represents.
maxIntraOpParallelism - Variable in class org.tensorflow.op.core.MapDefun.Inputs: The maxIntraOpParallelism attribute
maxIntraOpParallelism(Long) - Static method in class org.tensorflow.op.core.MapDefun: Sets the maxIntraOpParallelism option.
maxIntraOpParallelism(Long) - Method in class org.tensorflow.op.core.MapDefun.Options: Sets the maxIntraOpParallelism option.
maxIntraOpParallelism - Variable in class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset.Inputs: Identifies the maximum intra-op parallelism to use.
maxIntraOpParallelism - Variable in class org.tensorflow.op.data.experimental.ThreadPoolHandle.Inputs: The maximum degree of parallelism to use within operations that execute on this threadpool.
maxIntraOpParallelism(Long) - Static method in class org.tensorflow.op.data.experimental.ThreadPoolHandle: Sets the maxIntraOpParallelism option.
maxIntraOpParallelism(Long) - Method in class org.tensorflow.op.data.experimental.ThreadPoolHandle.Options: Sets the maxIntraOpParallelism option.
maxIntraOpParallelism - Variable in class org.tensorflow.op.data.MaxIntraOpParallelismDataset.Inputs: Identifies the maximum intra-op parallelism to use.
maxIntraOpParallelism - Variable in class org.tensorflow.op.data.ThreadPoolHandle.Inputs: The maximum degree of parallelism to use within operations that execute on this threadpool.
maxIntraOpParallelism(Long) - Static method in class org.tensorflow.op.data.ThreadPoolHandle: Sets the maxIntraOpParallelism option.
maxIntraOpParallelism(Long) - Method in class org.tensorflow.op.data.ThreadPoolHandle.Options: Sets the maxIntraOpParallelism option.
MaxIntraOpParallelismDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that overrides the maximum intra-op parallelism.
MaxIntraOpParallelismDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset
MaxIntraOpParallelismDataset - Class in org.tensorflow.op.data: Creates a dataset that overrides the maximum intra-op parallelism.
MaxIntraOpParallelismDataset(Operation) - Constructor for class org.tensorflow.op.data.MaxIntraOpParallelismDataset
maxIntraOpParallelismDataset(Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Creates a dataset that overrides the maximum intra-op parallelism.
MaxIntraOpParallelismDataset.Inputs - Class in org.tensorflow.op.data.experimental
MaxIntraOpParallelismDataset.Inputs - Class in org.tensorflow.op.data
maxIter - Variable in class org.tensorflow.op.xla.SelfAdjointEig.Inputs: maximum number of sweep update, i.e., the whole lower triangular part or upper triangular part based on parameter lower.
maxIter - Variable in class org.tensorflow.op.xla.Svd.Inputs: maximum number of sweep update, i.e., the whole lower triangular part or upper triangular part based on parameter lower.
maxlength - Variable in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Inputs: Maximum value to count.
maxlength(Long) - Static method in class org.tensorflow.op.ragged.RaggedCountSparseOutput: Sets the maxlength option.
maxlength(Long) - Method in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Options: Sets the maxlength option.
maxlength - Variable in class org.tensorflow.op.sparse.DenseCountSparseOutput.Inputs: Maximum value to count.
maxlength(Long) - Static method in class org.tensorflow.op.sparse.DenseCountSparseOutput: Sets the maxlength option.
maxlength(Long) - Method in class org.tensorflow.op.sparse.DenseCountSparseOutput.Options: Sets the maxlength option.
maxlength - Variable in class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs: Maximum value to count.
maxlength(Long) - Static method in class org.tensorflow.op.sparse.SparseCountSparseOutput: Sets the maxlength option.
maxlength(Long) - Method in class org.tensorflow.op.sparse.SparseCountSparseOutput.Options: Sets the maxlength option.
maxLoadFactor - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: The maximum ratio between number of entries and number of buckets before growing the table.
maxLoadFactor(Float) - Static method in class org.tensorflow.op.core.MutableDenseHashTable: Sets the maxLoadFactor option.
maxLoadFactor(Float) - Method in class org.tensorflow.op.core.MutableDenseHashTable.Options: Sets the maxLoadFactor option.
maxNumElements - Variable in class org.tensorflow.op.core.EmptyTensorList.Inputs: The maxNumElements input
maxOut() - Method in class org.tensorflow.op.linalg.QuantizedMatMul: Gets maxOut.
maxOut() - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias: Gets maxOut.
maxOut() - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu: Gets maxOut.
maxOut() - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize: Gets maxOut.
maxOut() - Method in class org.tensorflow.op.nn.QuantizedBiasAdd: Gets maxOut.
maxOut() - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize: Gets maxOut.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedAvgPool: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2d: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DPerChannel: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBias: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedMaxPool: Gets maxOutput.
maxOutputs - Variable in class org.tensorflow.op.summary.AudioSummary.Inputs: Max number of batch elements to generate audio for.
maxOutputs(Long) - Static method in class org.tensorflow.op.summary.AudioSummary: Sets the maxOutputs option.
maxOutputs(Long) - Method in class org.tensorflow.op.summary.AudioSummary.Options: Sets the maxOutputs option.
maxOutputs - Variable in class org.tensorflow.op.summary.WriteAudioSummary.Inputs: The maxOutputs attribute
maxOutputs(Long) - Static method in class org.tensorflow.op.summary.WriteAudioSummary: Sets the maxOutputs option.
maxOutputs(Long) - Method in class org.tensorflow.op.summary.WriteAudioSummary.Options: Sets the maxOutputs option.
maxOutputSize - Variable in class org.tensorflow.op.image.NonMaxSuppression.Inputs: A scalar integer tensor representing the maximum number of boxes to be selected by non max suppression.
maxOutputSize - Variable in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps.Inputs: A scalar integer tensor representing the maximum number of boxes to be selected by non max suppression.
maxOutputSizePerClass - Variable in class org.tensorflow.op.image.CombinedNonMaxSuppression.Inputs: A scalar integer tensor representing the maximum number of boxes to be selected by non max suppression per class
maxOutstandingRequests - Variable in class org.tensorflow.op.data.DataServiceDatasetV2.Inputs: The maxOutstandingRequests input
MaxPool<T extends TNumber> - Class in org.tensorflow.op.nn: Performs max pooling on the input.
MaxPool(Operation) - Constructor for class org.tensorflow.op.nn.MaxPool
maxPool(Operand<T>, Operand<TInt32>, Operand<TInt32>, String, MaxPool.Options...) - Method in class org.tensorflow.op.NnOps: Performs max pooling on the input.
MaxPool.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
MaxPool.Options - Class in org.tensorflow.op.nn: Optional attributes for MaxPool
MaxPool3d<T extends TNumber> - Class in org.tensorflow.op.nn: Performs 3D max pooling on the input.
MaxPool3d(Operation) - Constructor for class org.tensorflow.op.nn.MaxPool3d
maxPool3d(Operand<T>, List<Long>, List<Long>, String, MaxPool3d.Options...) - Method in class org.tensorflow.op.NnOps: Performs 3D max pooling on the input.
MaxPool3d.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
MaxPool3d.Options - Class in org.tensorflow.op.nn: Optional attributes for MaxPool3d
MaxPool3dGrad - Class in org.tensorflow.op.nn: Computes gradients of 3D max pooling function.
MaxPool3dGrad(Operation) - Constructor for class org.tensorflow.op.nn.MaxPool3dGrad
maxPool3dGrad(Operand<T>, Operand<T>, Operand, List<Long>, List<Long>, String, MaxPool3dGrad.Options...) - Method in class org.tensorflow.op.NnOps: Computes gradients of 3D max pooling function.
MaxPool3dGrad.Inputs<T extends TNumber,U extends TNumber> - Class in org.tensorflow.op.nn
MaxPool3dGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for MaxPool3dGrad
MaxPool3dGradGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes second-order gradients of the maxpooling function.
MaxPool3dGradGrad(Operation) - Constructor for class org.tensorflow.op.nn.MaxPool3dGradGrad
maxPool3dGradGrad(Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String, MaxPool3dGradGrad.Options...) - Method in class org.tensorflow.op.NnOps: Computes second-order gradients of the maxpooling function.
MaxPool3dGradGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
MaxPool3dGradGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for MaxPool3dGradGrad
MaxPoolGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes gradients of the maxpooling function.
MaxPoolGrad(Operation) - Constructor for class org.tensorflow.op.nn.MaxPoolGrad
maxPoolGrad(Operand<T>, Operand<T>, Operand<T>, Operand<TInt32>, Operand<TInt32>, String, MaxPoolGrad.Options...) - Method in class org.tensorflow.op.NnOps: Computes gradients of the maxpooling function.
MaxPoolGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
MaxPoolGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for MaxPoolGrad
MaxPoolGradGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes second-order gradients of the maxpooling function.
MaxPoolGradGrad(Operation) - Constructor for class org.tensorflow.op.nn.MaxPoolGradGrad
maxPoolGradGrad(Operand<T>, Operand<T>, Operand<T>, Operand<TInt32>, Operand<TInt32>, String, MaxPoolGradGrad.Options...) - Method in class org.tensorflow.op.NnOps: Computes second-order gradients of the maxpooling function.
MaxPoolGradGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
MaxPoolGradGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for MaxPoolGradGrad
MaxPoolGradGradWithArgmax<T extends TNumber> - Class in org.tensorflow.op.nn: Computes second-order gradients of the maxpooling function.
MaxPoolGradGradWithArgmax(Operation) - Constructor for class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax
maxPoolGradGradWithArgmax(Operand<T>, Operand<T>, Operand<? extends TNumber>, List<Long>, List<Long>, String, MaxPoolGradGradWithArgmax.Options...) - Method in class org.tensorflow.op.NnOps: Computes second-order gradients of the maxpooling function.
MaxPoolGradGradWithArgmax.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
MaxPoolGradGradWithArgmax.Options - Class in org.tensorflow.op.nn: Optional attributes for MaxPoolGradGradWithArgmax
MaxPoolGradWithArgmax<T extends TNumber> - Class in org.tensorflow.op.nn: Computes gradients of the maxpooling function.
MaxPoolGradWithArgmax(Operation) - Constructor for class org.tensorflow.op.nn.MaxPoolGradWithArgmax
MaxPoolGradWithArgmax.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
MaxPoolGradWithArgmax.Options - Class in org.tensorflow.op.nn: Optional attributes for MaxPoolGradWithArgmax
MaxPoolWithArgmax<T extends TNumber,U extends TNumber> - Class in org.tensorflow.op.nn: Performs max pooling on the input and outputs both max values and indices.
MaxPoolWithArgmax(Operation) - Constructor for class org.tensorflow.op.nn.MaxPoolWithArgmax
maxPoolWithArgmax(Operand<T>, List<Long>, List<Long>, String, MaxPoolWithArgmax.Options[]) - Method in class org.tensorflow.op.NnOps: Performs max pooling on the input and outputs both max values and indices.
maxPoolWithArgmax(Operand<T>, List<Long>, List<Long>, Class, String, MaxPoolWithArgmax.Options...) - Method in class org.tensorflow.op.NnOps: Performs max pooling on the input and outputs both max values and indices.
MaxPoolWithArgmax.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
MaxPoolWithArgmax.Options - Class in org.tensorflow.op.nn: Optional attributes for MaxPoolWithArgmax
maxQueue - Variable in class org.tensorflow.op.summary.CreateSummaryFileWriter.Inputs: The maxQueue input
maxRange - Variable in class org.tensorflow.op.quantization.Dequantize.Inputs: The maximum scalar value possibly produced for the input.
maxRange - Variable in class org.tensorflow.op.quantization.Quantize.Inputs: The maximum value of the quantization range.
maxRange - Variable in class org.tensorflow.op.xla.Dequantize.Inputs: The maximum scalar value possibly produced for the input.
maxRowsInMemory - Variable in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Inputs: The maximum number of rows to load from the checkpoint at once.
maxRowsInMemory(Long) - Static method in class org.tensorflow.op.linalg.LoadAndRemapMatrix: Sets the maxRowsInMemory option.
maxRowsInMemory(Long) - Method in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Options: Sets the maxRowsInMemory option.
maxSequenceLengths - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The maxSequenceLengths attribute
maxSequenceLengths(List<Long>) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch: Sets the maxSequenceLengths option.
maxSequenceLengths(Long...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch: Sets the maxSequenceLengths option.
maxSequenceLengths(List<Long>) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the maxSequenceLengths option.
maxSequenceLengths(Long...) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the maxSequenceLengths option.
maxSequenceLengths - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: The maxSequenceLengths attribute
maxSequenceLengths(List<Long>) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch: Sets the maxSequenceLengths option.
maxSequenceLengths(Long...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch: Sets the maxSequenceLengths option.
maxSequenceLengths(List<Long>) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Options: Sets the maxSequenceLengths option.
maxSequenceLengths(Long...) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Options: Sets the maxSequenceLengths option.
maxsplit - Variable in class org.tensorflow.op.strings.StringSplit.Inputs: An `int`.
maxsplit(Long) - Static method in class org.tensorflow.op.strings.StringSplit: Sets the maxsplit option.
maxsplit(Long) - Method in class org.tensorflow.op.strings.StringSplit.Options: Sets the maxsplit option.
maxSplits - Variable in class org.tensorflow.op.estimator.BoostedTreesAggregateStats.Inputs: int; the maximum number of splits possible in the whole tree.
maxSplits - Variable in class org.tensorflow.op.estimator.BoostedTreesCalculateBestGainsPerFeature.Inputs: the number of nodes that can be split in the whole tree.
maxSplits - Variable in class org.tensorflow.op.estimator.BoostedTreesMakeStatsSummary.Inputs: int; the maximum number of splits possible in the whole tree.
maxSplits - Variable in class org.tensorflow.op.estimator.BoostedTreesSparseAggregateStats.Inputs: int; the maximum number of splits possible in the whole tree.
maxSummand - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The maxSummand input
maxSummand - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The maxSummand input
maxTotalSize - Variable in class org.tensorflow.op.image.CombinedNonMaxSuppression.Inputs: An int32 scalar representing the maximum number of boxes retained over all classes.
maxval - Variable in class org.tensorflow.op.random.RandomUniformInt.Inputs: 0-D.
maxval - Variable in class org.tensorflow.op.random.StatefulUniformInt.Inputs: Maximum value (exclusive, scalar).
maxval - Variable in class org.tensorflow.op.random.StatelessRandomUniformInt.Inputs: Maximum value (exclusive, scalar).
maxval - Variable in class org.tensorflow.op.random.StatelessRandomUniformIntV2.Inputs: Maximum value (exclusive, scalar).
maxvals - Variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs: The maximum cutoff.
maxvals - Variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs: The maximum cutoff.
maxValue - Variable in class org.tensorflow.op.nn.QuantizedReluX.Inputs: The maxValue input
maxX - Variable in class org.tensorflow.op.math.QuantizedAdd.Inputs: The float value that the highest quantized x value represents.
maxX - Variable in class org.tensorflow.op.math.QuantizedMul.Inputs: The float value that the highest quantized x value represents.
maxY - Variable in class org.tensorflow.op.math.QuantizedAdd.Inputs: The float value that the highest quantized y value represents.
maxY - Variable in class org.tensorflow.op.math.QuantizedMul.Inputs: The float value that the highest quantized y value represents.
maxZ() - Method in class org.tensorflow.op.math.QuantizedAdd: Gets maxZ.
maxZ() - Method in class org.tensorflow.op.math.QuantizedMul: Gets maxZ.
MAYBE_TYPE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ResourceHandleProto
mayModifyVariables() - Method in class org.tensorflow.op.tpu.Compile: Gets mayModifyVariables.
Mean<T extends TType> - Class in org.tensorflow.op.math: Computes the mean of elements across dimensions of a tensor.
Mean(Operation) - Constructor for class org.tensorflow.op.math.Mean
mean(Operand<T>, Operand<? extends TNumber>, Mean.Options...) - Method in class org.tensorflow.op.MathOps: Computes the mean of elements across dimensions of a tensor.
mean - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: A 1D Tensor for population mean.
Mean.Inputs<T extends TType> - Class in org.tensorflow.op.math
Mean.Options - Class in org.tensorflow.op.math: Optional attributes for Mean
meanGradients - Variable in class org.tensorflow.op.estimator.BoostedTreesCenterBias.Inputs: A tensor with shape=[logits_dimension] with mean of gradients for a first node.
meanHessians - Variable in class org.tensorflow.op.estimator.BoostedTreesCenterBias.Inputs: A tensor with shape=[logits_dimension] mean of hessians for a first node.
means - Variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs: The mean parameter of each batch.
means - Variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs: The mean parameter of each batch.
MemAllocatorStats - Class in org.tensorflow.proto.util: Some of the data from AllocatorStats
MemAllocatorStats.Builder - Class in org.tensorflow.proto.util: Some of the data from AllocatorStats
MemAllocatorStatsOrBuilder - Interface in org.tensorflow.proto.util
MemChunk - Class in org.tensorflow.proto.util: Protobuf type tensorflow.MemChunk
MemChunk.Builder - Class in org.tensorflow.proto.util: Protobuf type tensorflow.MemChunk
MemChunkOrBuilder - Interface in org.tensorflow.proto.util
MemmappedFileSystemDirectory - Class in org.tensorflow.proto.util: A directory of regions in a memmapped file.
MemmappedFileSystemDirectory.Builder - Class in org.tensorflow.proto.util: A directory of regions in a memmapped file.
MemmappedFileSystemDirectoryElement - Class in org.tensorflow.proto.util: A message that describes one region of memmapped file.
MemmappedFileSystemDirectoryElement.Builder - Class in org.tensorflow.proto.util: A message that describes one region of memmapped file.
MemmappedFileSystemDirectoryElementOrBuilder - Interface in org.tensorflow.proto.util
MemmappedFileSystemDirectoryOrBuilder - Interface in org.tensorflow.proto.util
MemmappedFileSystemProtos - Class in org.tensorflow.proto.util
MEMORY_EFFICIENCY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpPerformance
MEMORY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NodeExecStats
MEMORY_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.MachineConfiguration
MEMORY_LIMIT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DeviceAttributes
MEMORY_LIMIT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
MEMORY_LIMIT_MB_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
MEMORY_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
MEMORY_OPTIMIZER_TARGET_NODE_NAME_SCOPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
MEMORY_RATIO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto.Node
MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DeviceProperties
MEMORY_STATS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NodeExecStats
MEMORY_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CostGraphDef.Node
MEMORY_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpPerformance
MemoryDump - Class in org.tensorflow.proto.util: Protobuf type tensorflow.MemoryDump
MemoryDump.Builder - Class in org.tensorflow.proto.util: Protobuf type tensorflow.MemoryDump
MemoryDumpOrBuilder - Interface in org.tensorflow.proto.util
MemoryInfo - Class in org.tensorflow.proto.util.testlog: Protobuf type tensorflow.MemoryInfo
MemoryInfo.Builder - Class in org.tensorflow.proto.util.testlog: Protobuf type tensorflow.MemoryInfo
MemoryInfoOrBuilder - Interface in org.tensorflow.proto.util.testlog
memoryLimit - Variable in class org.tensorflow.op.core.MapClear.Inputs: The memoryLimit attribute
memoryLimit(Long) - Static method in class org.tensorflow.op.core.MapClear: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.MapClear.Options: Sets the memoryLimit option.
memoryLimit - Variable in class org.tensorflow.op.core.MapIncompleteSize.Inputs: The memoryLimit attribute
memoryLimit(Long) - Static method in class org.tensorflow.op.core.MapIncompleteSize: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.MapIncompleteSize.Options: Sets the memoryLimit option.
memoryLimit - Variable in class org.tensorflow.op.core.MapPeek.Inputs: The memoryLimit attribute
memoryLimit(Long) - Static method in class org.tensorflow.op.core.MapPeek: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.MapPeek.Options: Sets the memoryLimit option.
memoryLimit - Variable in class org.tensorflow.op.core.MapSize.Inputs: The memoryLimit attribute
memoryLimit(Long) - Static method in class org.tensorflow.op.core.MapSize: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.MapSize.Options: Sets the memoryLimit option.
memoryLimit - Variable in class org.tensorflow.op.core.MapStage.Inputs: The memoryLimit attribute
memoryLimit(Long) - Static method in class org.tensorflow.op.core.MapStage: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.MapStage.Options: Sets the memoryLimit option.
memoryLimit - Variable in class org.tensorflow.op.core.MapUnstage.Inputs: The memoryLimit attribute
memoryLimit(Long) - Static method in class org.tensorflow.op.core.MapUnstage: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.MapUnstage.Options: Sets the memoryLimit option.
memoryLimit - Variable in class org.tensorflow.op.core.MapUnstageNoKey.Inputs: The memoryLimit attribute
memoryLimit(Long) - Static method in class org.tensorflow.op.core.MapUnstageNoKey: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.MapUnstageNoKey.Options: Sets the memoryLimit option.
memoryLimit - Variable in class org.tensorflow.op.core.OrderedMapClear.Inputs: The memoryLimit attribute
memoryLimit(Long) - Static method in class org.tensorflow.op.core.OrderedMapClear: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.OrderedMapClear.Options: Sets the memoryLimit option.
memoryLimit - Variable in class org.tensorflow.op.core.OrderedMapIncompleteSize.Inputs: The memoryLimit attribute
memoryLimit(Long) - Static method in class org.tensorflow.op.core.OrderedMapIncompleteSize: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.OrderedMapIncompleteSize.Options: Sets the memoryLimit option.
memoryLimit - Variable in class org.tensorflow.op.core.OrderedMapPeek.Inputs: The memoryLimit attribute
memoryLimit(Long) - Static method in class org.tensorflow.op.core.OrderedMapPeek: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.OrderedMapPeek.Options: Sets the memoryLimit option.
memoryLimit - Variable in class org.tensorflow.op.core.OrderedMapSize.Inputs: The memoryLimit attribute
memoryLimit(Long) - Static method in class org.tensorflow.op.core.OrderedMapSize: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.OrderedMapSize.Options: Sets the memoryLimit option.
memoryLimit - Variable in class org.tensorflow.op.core.OrderedMapStage.Inputs: The memoryLimit attribute
memoryLimit(Long) - Static method in class org.tensorflow.op.core.OrderedMapStage: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.OrderedMapStage.Options: Sets the memoryLimit option.
memoryLimit - Variable in class org.tensorflow.op.core.OrderedMapUnstage.Inputs: The memoryLimit attribute
memoryLimit(Long) - Static method in class org.tensorflow.op.core.OrderedMapUnstage: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.OrderedMapUnstage.Options: Sets the memoryLimit option.
memoryLimit - Variable in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Inputs: The memoryLimit attribute
memoryLimit(Long) - Static method in class org.tensorflow.op.core.OrderedMapUnstageNoKey: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Options: Sets the memoryLimit option.
memoryLimit - Variable in class org.tensorflow.op.core.Stage.Inputs: The maximum number of bytes allowed for Tensors in the Staging Area.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.Stage: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.Stage.Options: Sets the memoryLimit option.
memoryLimit - Variable in class org.tensorflow.op.core.StageClear.Inputs: The memoryLimit attribute
memoryLimit(Long) - Static method in class org.tensorflow.op.core.StageClear: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.StageClear.Options: Sets the memoryLimit option.
memoryLimit - Variable in class org.tensorflow.op.core.StagePeek.Inputs: The memoryLimit attribute
memoryLimit(Long) - Static method in class org.tensorflow.op.core.StagePeek: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.StagePeek.Options: Sets the memoryLimit option.
memoryLimit - Variable in class org.tensorflow.op.core.StageSize.Inputs: The memoryLimit attribute
memoryLimit(Long) - Static method in class org.tensorflow.op.core.StageSize: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.StageSize.Options: Sets the memoryLimit option.
memoryLimit - Variable in class org.tensorflow.op.core.Unstage.Inputs: The memoryLimit attribute
memoryLimit(Long) - Static method in class org.tensorflow.op.core.Unstage: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.Unstage.Options: Sets the memoryLimit option.
MemoryLogRawAllocation - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.MemoryLogRawAllocation
MemoryLogRawAllocation.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.MemoryLogRawAllocation
MemoryLogRawAllocationOrBuilder - Interface in org.tensorflow.proto.framework
MemoryLogRawDeallocation - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.MemoryLogRawDeallocation
MemoryLogRawDeallocation.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.MemoryLogRawDeallocation
MemoryLogRawDeallocationOrBuilder - Interface in org.tensorflow.proto.framework
MemoryLogStep - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.MemoryLogStep
MemoryLogStep.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.MemoryLogStep
MemoryLogStepOrBuilder - Interface in org.tensorflow.proto.framework
MemoryLogTensorAllocation - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.MemoryLogTensorAllocation
MemoryLogTensorAllocation.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.MemoryLogTensorAllocation
MemoryLogTensorAllocationOrBuilder - Interface in org.tensorflow.proto.framework
MemoryLogTensorDeallocation - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.MemoryLogTensorDeallocation
MemoryLogTensorDeallocation.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.MemoryLogTensorDeallocation
MemoryLogTensorDeallocationOrBuilder - Interface in org.tensorflow.proto.framework
MemoryLogTensorOutput - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.MemoryLogTensorOutput
MemoryLogTensorOutput.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.MemoryLogTensorOutput
MemoryLogTensorOutputOrBuilder - Interface in org.tensorflow.proto.framework
memoryRegionName - Variable in class org.tensorflow.op.core.ImmutableConst.Inputs: Name of readonly memory region used by the tensor, see NewReadOnlyMemoryRegionFromFile in tensorflow::Env.
MemoryStats - Class in org.tensorflow.proto.framework: For memory tracking.
MemoryStats.Builder - Class in org.tensorflow.proto.framework: For memory tracking.
MemoryStatsOrBuilder - Interface in org.tensorflow.proto.framework
Merge<T extends TType> - Class in org.tensorflow.op.core: Forwards the value of an available tensor from inputs to output.
Merge(Operation) - Constructor for class org.tensorflow.op.core.Merge
merge(Iterable<Operand<T>>) - Method in class org.tensorflow.op.Ops: Forwards the value of an available tensor from inputs to output.
Merge.Inputs<T extends TType> - Class in org.tensorflow.op.core
mergeAllocationDescription(AllocationDescription) - Method in class org.tensorflow.proto.framework.TensorDescription.Builder: Information about the size and allocator used for the data
mergeAllowedValues(AttrValue) - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder: A list of values that this kernel supports for this attr.
mergeAllowedValues(AttrValue) - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: The set of allowed values.
mergeAnyInfo(Any) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: A serialized protobuf.
mergeAnyList(CollectionDef.AnyList) - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.AnyList any_list = 5;
mergeAsset(SavedAsset) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedAsset asset = 5;
mergeAudio(Summary.Audio) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.Summary.Audio audio = 6;
mergeAutoParallel(AutoParallelOptions) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
mergeAutotuneOptions(AutotuneOptions) - Method in class org.tensorflow.proto.data.Options.Builder: The distribution strategy options associated with the dataset.
mergeBareConcreteFunction(SavedBareConcreteFunction) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
mergeBoundedTensorSpecValue(BoundedTensorSpecProto) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a value for tf.BoundedTensorSpec.
mergeBuildConfiguration(BuildConfiguration) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The configuration of the build (compiled opt? with cuda? any copts?)
mergeBytesList(BytesList) - Method in class org.tensorflow.proto.example.Feature.Builder: .tensorflow.BytesList bytes_list = 1;
mergeBytesList(CollectionDef.BytesList) - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
mergeCanonicalizedInputSignature(StructuredValue) - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder: Input in canonicalized form that was received to create this concrete function.
mergeCapturedTensor(CapturedTensor) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.CapturedTensor captured_tensor = 12;
mergeCluster(ClusterDef) - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The cluster of which this server is a member.
mergeClusterDef(ClusterDef) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Optional list of all workers to use in this session.
mergeClusterDeviceFilters(ClusterDeviceFilters) - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: Device filters for remote tasks in the cluster.
mergeCodeLocation(CodeLocation) - Method in class org.tensorflow.proto.util.Execution.Builder: Stack trace of the eager execution.
mergeCodeLocation(CodeLocation) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: The unique ID for code location (stack trace) of the op's creation.
mergeCommitId(CommitId) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The commit id (git hash or changelist)
mergeCompositeTensor(TensorInfo.CompositeTensor) - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: Generic encoding for CompositeTensors.
mergeCondCtxt(CondContextDef) - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder: .tensorflow.CondContextDef cond_ctxt = 1;
mergeConstant(SavedConstant) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedConstant constant = 9;
mergeContext(Features) - Method in class org.tensorflow.proto.example.SequenceExample.Builder: .tensorflow.Features context = 1;
mergeCooSparse(TensorInfo.CooSparse) - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
mergeCostGraph(CostGraphDef) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: The cost graph for the computation defined by the run call.
mergeCpuInfo(CPUInfo) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: CPU Information.
merged() - Method in class org.tensorflow.op.core.DynamicStitch: Gets merged.
merged() - Method in class org.tensorflow.op.core.ParallelDynamicStitch: Gets merged.
mergeData(TensorProto) - Method in class org.tensorflow.proto.util.SavedSlice.Builder: The raw data of the slice is stored as a TensorProto.
mergeData(SavedSlice) - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder: This exists in all but the first item of each checkpoint file.
mergeDebuggedDevice(DebuggedDevice) - Method in class org.tensorflow.proto.util.DebugEvent.Builder: A device on which debugger-instrumented ops and/or tensors reside.
mergeDebuggedGraph(DebuggedGraph) - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Information about a debugged graph.
mergeDebugMetadata(DebugMetadata) - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Metadata related to this debugging data.
mergeDebugOptions(DebugOptions) - Method in class org.tensorflow.proto.framework.RunOptions.Builder: EXPERIMENTAL.
mergeDefaultSessionConfig(ConfigProto) - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The default configuration for sessions that run on this server.
mergeDefaultValue(TensorProto) - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder: .tensorflow.TensorProto default_value = 3;
mergeDefaultValue(AttrValue) - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder: Specify a new default value to use for this attr.
mergeDefaultValue(AttrValue) - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: A reasonable default for this attribute if the user does not supply a value.
mergeDeprecation(OpDeprecation) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Optional deprecation based on GraphDef versions.
mergeDevice(DeviceProperties) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Device on which the operation is run.
mergeDictValue(DictValue) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a dict `Value`.
mergeDistributeOptions(DistributeOptions) - Method in class org.tensorflow.proto.data.Options.Builder: The distribution strategy options associated with the dataset.
mergeEntries(BenchmarkEntries) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The list of tests or benchmarks in this run.
mergeExecution(Execution) - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Execution of an op or a Graph (e.g., a tf.function).
mergeExecutionTimeLogNormal(LogNormalDistribution) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: .tensorflow.LogNormalDistribution execution_time_log_normal = 11;
mergeExecutionTimeNormal(NormalDistribution) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: .tensorflow.NormalDistribution execution_time_normal = 10;
mergeExitCode(RequestedExitCode) - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder: .tensorflow.RequestedExitCode exit_code = 3;
mergeExperimental(ConfigProto.Experimental) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: .tensorflow.ConfigProto.Experimental experimental = 16;
mergeExperimental(GPUOptions.Experimental) - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
mergeExperimental(RunOptions.Experimental) - Method in class org.tensorflow.proto.framework.RunOptions.Builder: .tensorflow.RunOptions.Experimental experimental = 8;
mergeExperimentalDebugInfo(NodeDef.ExperimentalDebugInfo) - Method in class org.tensorflow.proto.framework.NodeDef.Builder: This stores debug information associated with the node.
mergeExperimentalFullType(FullTypeDef) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: Experimental.
mergeExperimentalType(FullTypeDef) - Method in class org.tensorflow.proto.framework.NodeDef.Builder: The complete type of this node.
mergeFeatureLists(FeatureLists) - Method in class org.tensorflow.proto.example.SequenceExample.Builder: .tensorflow.FeatureLists feature_lists = 2;
mergeFeatures(Features) - Method in class org.tensorflow.proto.example.Example.Builder: .tensorflow.Features features = 1;
mergeFileLineCol(GraphDebugInfo.FileLineCol) - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder: Stack frame, i.e., a frame of a stack trace, containing information regarding the file name, line number, function name, code content of the line, and column number (if available).
mergeFixedLenFeature(FixedLenFeatureProto) - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
mergeFloatList(FloatList) - Method in class org.tensorflow.proto.example.Feature.Builder: .tensorflow.FloatList float_list = 2;
mergeFloatList(CollectionDef.FloatList) - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.FloatList float_list = 4;
mergeFrom(Message) - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder
mergeFrom(AutotuneOptions) - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
mergeFrom(DataService.ProcessingModeDef) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
mergeFrom(DatasetMetadata.Metadata) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.DistributeOptions.Builder
mergeFrom(DistributeOptions) - Method in class org.tensorflow.proto.data.DistributeOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.DistributeOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
mergeFrom(ServiceConfig.DispatcherConfig) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
mergeFrom(ServiceConfig.WorkerConfig) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder
mergeFrom(SnapshotMetadataRecord) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder
mergeFrom(SnapshotRecord) - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder
mergeFrom(SnapshotTensorMetadata) - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder
mergeFrom(TensorMetadata) - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.model.ModelProto.Builder
mergeFrom(ModelProto) - Method in class org.tensorflow.proto.data.model.ModelProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.model.ModelProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder
mergeFrom(ModelProto.Node) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder
mergeFrom(ModelProto.Node.Parameter) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder
mergeFrom(ModelProto.OptimizationParams) - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
mergeFrom(OptimizationOptions) - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.Options.Builder
mergeFrom(Options) - Method in class org.tensorflow.proto.data.Options.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.Options.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.ThreadingOptions.Builder
mergeFrom(ThreadingOptions) - Method in class org.tensorflow.proto.data.ThreadingOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.ThreadingOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder
mergeFrom(ClusterDef) - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder
mergeFrom(ClusterDeviceFilters) - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.distruntime.JobDef.Builder
mergeFrom(JobDef) - Method in class org.tensorflow.proto.distruntime.JobDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.distruntime.JobDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder
mergeFrom(JobDeviceFilters) - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder
mergeFrom(ServerDef) - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters.Builder
mergeFrom(TaskDeviceFilters) - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra.Builder
mergeFrom(TransportOptions.RecvBufRespExtra) - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.example.BytesList.Builder
mergeFrom(BytesList) - Method in class org.tensorflow.proto.example.BytesList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.example.BytesList.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.example.Example.Builder
mergeFrom(Example) - Method in class org.tensorflow.proto.example.Example.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.example.Example.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder
mergeFrom(ExampleParserConfiguration) - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.example.Feature.Builder
mergeFrom(Feature) - Method in class org.tensorflow.proto.example.Feature.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.example.Feature.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder
mergeFrom(FeatureConfiguration) - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.example.FeatureList.Builder
mergeFrom(FeatureList) - Method in class org.tensorflow.proto.example.FeatureList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.example.FeatureList.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.example.FeatureLists.Builder
mergeFrom(FeatureLists) - Method in class org.tensorflow.proto.example.FeatureLists.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.example.FeatureLists.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.example.Features.Builder
mergeFrom(Features) - Method in class org.tensorflow.proto.example.Features.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.example.Features.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder
mergeFrom(FixedLenFeatureProto) - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.example.FloatList.Builder
mergeFrom(FloatList) - Method in class org.tensorflow.proto.example.FloatList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.example.FloatList.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.example.Int64List.Builder
mergeFrom(Int64List) - Method in class org.tensorflow.proto.example.Int64List.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.example.Int64List.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.example.SequenceExample.Builder
mergeFrom(SequenceExample) - Method in class org.tensorflow.proto.example.SequenceExample.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.example.SequenceExample.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder
mergeFrom(VarLenFeatureProto) - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder
mergeFrom(AllocationDescription) - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.AllocationRecord.Builder
mergeFrom(AllocationRecord) - Method in class org.tensorflow.proto.framework.AllocationRecord.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.AllocationRecord.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder
mergeFrom(AllocatorMemoryUsed) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder
mergeFrom(ApiDef.Arg) - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder
mergeFrom(ApiDef.Attr) - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.ApiDef.Builder
mergeFrom(ApiDef) - Method in class org.tensorflow.proto.framework.ApiDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.ApiDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder
mergeFrom(ApiDef.Endpoint) - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.ApiDefs.Builder
mergeFrom(ApiDefs) - Method in class org.tensorflow.proto.framework.ApiDefs.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.ApiDefs.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder
mergeFrom(AssetFileDef) - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.AttrValue.Builder
mergeFrom(AttrValue) - Method in class org.tensorflow.proto.framework.AttrValue.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.AttrValue.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder
mergeFrom(AttrValue.ListValue) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.AutoParallelOptions.Builder
mergeFrom(AutoParallelOptions) - Method in class org.tensorflow.proto.framework.AutoParallelOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.AutoParallelOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder
mergeFrom(BoundedTensorSpecProto) - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder
mergeFrom(CallableOptions) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.CapturedTensor.Builder
mergeFrom(CapturedTensor) - Method in class org.tensorflow.proto.framework.CapturedTensor.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.CapturedTensor.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder
mergeFrom(CollectionDef.AnyList) - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.CollectionDef.Builder
mergeFrom(CollectionDef) - Method in class org.tensorflow.proto.framework.CollectionDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.CollectionDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList.Builder
mergeFrom(CollectionDef.BytesList) - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList.Builder
mergeFrom(CollectionDef.FloatList) - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List.Builder
mergeFrom(CollectionDef.Int64List) - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList.Builder
mergeFrom(CollectionDef.NodeList) - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
mergeFrom(CompositeTensorVariant.CompositeTensorVariantMetadata) - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder
mergeFrom(CondContextDef) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder
mergeFrom(ConfigProto) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder
mergeFrom(ConfigProto.Experimental) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder
mergeFrom(ControlFlowContextDef) - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost.Builder
mergeFrom(CostGraphDef.AggregatedCost) - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder
mergeFrom(CostGraphDef) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder
mergeFrom(CostGraphDef.Node) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo.Builder
mergeFrom(CostGraphDef.Node.InputInfo) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder
mergeFrom(CostGraphDef.Node.OutputInfo) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder
mergeFrom(DebuggedSourceFile) - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder
mergeFrom(DebuggedSourceFiles) - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.DebugOptions.Builder
mergeFrom(DebugOptions) - Method in class org.tensorflow.proto.framework.DebugOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.DebugOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder
mergeFrom(DebugTensorWatch) - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder
mergeFrom(DeviceAttributes) - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder
mergeFrom(DeviceLocality) - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder
mergeFrom(DeviceProperties) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder
mergeFrom(DeviceStepStats) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.DictValue.Builder
mergeFrom(DictValue) - Method in class org.tensorflow.proto.framework.DictValue.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.DictValue.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder
mergeFrom(FullTypeDef) - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder
mergeFrom(FunctionDef.ArgAttrs) - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
mergeFrom(FunctionDef) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder
mergeFrom(FunctionDefLibrary) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder
mergeFrom(FunctionSpec) - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.GPUOptions.Builder
mergeFrom(GPUOptions) - Method in class org.tensorflow.proto.framework.GPUOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.GPUOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder
mergeFrom(GPUOptions.Experimental) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder
mergeFrom(GPUOptions.Experimental.VirtualDevices) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.GradientDef.Builder
mergeFrom(GradientDef) - Method in class org.tensorflow.proto.framework.GradientDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.GradientDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder
mergeFrom(GraphDebugInfo) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder
mergeFrom(GraphDebugInfo.FileLineCol) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder
mergeFrom(GraphDebugInfo.StackTrace) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.GraphDef.Builder
mergeFrom(GraphDef) - Method in class org.tensorflow.proto.framework.GraphDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.GraphDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.GraphOptions.Builder
mergeFrom(GraphOptions) - Method in class org.tensorflow.proto.framework.GraphOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.GraphOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder
mergeFrom(GraphTransferConstNodeInfo) - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder
mergeFrom(GraphTransferGraphInputNodeInfo) - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder
mergeFrom(GraphTransferGraphOutputNodeInfo) - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder
mergeFrom(GraphTransferInfo) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder
mergeFrom(GraphTransferNodeInfo) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput.Builder
mergeFrom(GraphTransferNodeInput) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder
mergeFrom(GraphTransferNodeInputInfo) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder
mergeFrom(GraphTransferNodeOutputInfo) - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.HistogramProto.Builder
mergeFrom(HistogramProto) - Method in class org.tensorflow.proto.framework.HistogramProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.HistogramProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder
mergeFrom(InterconnectLink) - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder
mergeFrom(KernelDef.AttrConstraint) - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.KernelDef.Builder
mergeFrom(KernelDef) - Method in class org.tensorflow.proto.framework.KernelDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.KernelDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.KernelList.Builder
mergeFrom(KernelList) - Method in class org.tensorflow.proto.framework.KernelList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.KernelList.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.ListValue.Builder
mergeFrom(ListValue) - Method in class org.tensorflow.proto.framework.ListValue.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.ListValue.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.LocalLinks.Builder
mergeFrom(LocalLinks) - Method in class org.tensorflow.proto.framework.LocalLinks.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.LocalLinks.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.LogNormalDistribution.Builder
mergeFrom(LogNormalDistribution) - Method in class org.tensorflow.proto.framework.LogNormalDistribution.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.LogNormalDistribution.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder
mergeFrom(MemoryLogRawAllocation) - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder
mergeFrom(MemoryLogRawDeallocation) - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.MemoryLogStep.Builder
mergeFrom(MemoryLogStep) - Method in class org.tensorflow.proto.framework.MemoryLogStep.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.MemoryLogStep.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder
mergeFrom(MemoryLogTensorAllocation) - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation.Builder
mergeFrom(MemoryLogTensorDeallocation) - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder
mergeFrom(MemoryLogTensorOutput) - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.MemoryStats.Builder
mergeFrom(MemoryStats) - Method in class org.tensorflow.proto.framework.MemoryStats.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.MemoryStats.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder
mergeFrom(MetaGraphDef) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder
mergeFrom(MetaGraphDef.MetaInfoDef) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.NameAttrList.Builder
mergeFrom(NameAttrList) - Method in class org.tensorflow.proto.framework.NameAttrList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.NameAttrList.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.NamedDevice.Builder
mergeFrom(NamedDevice) - Method in class org.tensorflow.proto.framework.NamedDevice.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.NamedDevice.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder
mergeFrom(NamedTensorProto) - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder
mergeFrom(NamedTupleValue) - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.NodeDef.Builder
mergeFrom(NodeDef) - Method in class org.tensorflow.proto.framework.NodeDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.NodeDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder
mergeFrom(NodeDef.ExperimentalDebugInfo) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder
mergeFrom(NodeExecStats) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.NodeOutput.Builder
mergeFrom(NodeOutput) - Method in class org.tensorflow.proto.framework.NodeOutput.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.NodeOutput.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.NoneValue.Builder
mergeFrom(NoneValue) - Method in class org.tensorflow.proto.framework.NoneValue.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.NoneValue.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.NormalDistribution.Builder
mergeFrom(NormalDistribution) - Method in class org.tensorflow.proto.framework.NormalDistribution.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.NormalDistribution.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder
mergeFrom(OpDef.ArgDef) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder
mergeFrom(OpDef.AttrDef) - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.OpDef.Builder
mergeFrom(OpDef) - Method in class org.tensorflow.proto.framework.OpDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.OpDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.OpDeprecation.Builder
mergeFrom(OpDeprecation) - Method in class org.tensorflow.proto.framework.OpDeprecation.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.OpDeprecation.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.OpInfo.Builder
mergeFrom(OpInfo) - Method in class org.tensorflow.proto.framework.OpInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.OpInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder
mergeFrom(OpInfo.TensorProperties) - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.OpList.Builder
mergeFrom(OpList) - Method in class org.tensorflow.proto.framework.OpList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.OpList.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder
mergeFrom(OpPerformance) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder
mergeFrom(OpPerformance.OpMemory) - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder
mergeFrom(OpPerformanceList) - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder
mergeFrom(OptimizerOptions) - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.PairValue.Builder
mergeFrom(PairValue) - Method in class org.tensorflow.proto.framework.PairValue.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.PairValue.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder
mergeFrom(QueueRunnerDef) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder
mergeFrom(ReaderBaseState) - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.RegisteredGradient.Builder
mergeFrom(RegisteredGradient) - Method in class org.tensorflow.proto.framework.RegisteredGradient.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.RegisteredGradient.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder
mergeFrom(RemoteTensorHandle) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder
mergeFrom(ResourceDtypeAndShape) - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder
mergeFrom(ResourceHandleProto) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder
mergeFrom(ResourceHandleProto.DtypeAndShape) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder
mergeFrom(RewriterConfig) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder
mergeFrom(RewriterConfig.CustomGraphOptimizer) - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.RPCOptions.Builder
mergeFrom(RPCOptions) - Method in class org.tensorflow.proto.framework.RPCOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.RPCOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder
mergeFrom(RunMetadata) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder
mergeFrom(RunMetadata.FunctionGraphs) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.RunOptions.Builder
mergeFrom(RunOptions) - Method in class org.tensorflow.proto.framework.RunOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.RunOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder
mergeFrom(RunOptions.Experimental) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions.Builder
mergeFrom(RunOptions.Experimental.RunHandlerPoolOptions) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.SaveableObject.Builder
mergeFrom(SaveableObject) - Method in class org.tensorflow.proto.framework.SaveableObject.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.SaveableObject.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.SavedAsset.Builder
mergeFrom(SavedAsset) - Method in class org.tensorflow.proto.framework.SavedAsset.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.SavedAsset.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder
mergeFrom(SavedBareConcreteFunction) - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder
mergeFrom(SavedConcreteFunction) - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.SavedConstant.Builder
mergeFrom(SavedConstant) - Method in class org.tensorflow.proto.framework.SavedConstant.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.SavedConstant.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.SavedFunction.Builder
mergeFrom(SavedFunction) - Method in class org.tensorflow.proto.framework.SavedFunction.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.SavedFunction.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.SavedModel.Builder
mergeFrom(SavedModel) - Method in class org.tensorflow.proto.framework.SavedModel.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.SavedModel.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.SavedObject.Builder
mergeFrom(SavedObject) - Method in class org.tensorflow.proto.framework.SavedObject.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.SavedObject.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder
mergeFrom(SavedObjectGraph) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.SavedResource.Builder
mergeFrom(SavedResource) - Method in class org.tensorflow.proto.framework.SavedResource.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.SavedResource.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder
mergeFrom(SavedUserObject) - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder
mergeFrom(SavedVariable) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder
mergeFrom(SaveSliceInfoDef) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions.Builder
mergeFrom(ScopedAllocatorOptions) - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.SessionInfo.Builder
mergeFrom(SessionInfo) - Method in class org.tensorflow.proto.framework.SessionInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.SessionInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.SessionMetadata.Builder
mergeFrom(SessionMetadata) - Method in class org.tensorflow.proto.framework.SessionMetadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.SessionMetadata.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.SignatureDef.Builder
mergeFrom(SignatureDef) - Method in class org.tensorflow.proto.framework.SignatureDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.SignatureDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.Status.DerivedStatus.Builder
mergeFrom(Status.DerivedStatus) - Method in class org.tensorflow.proto.framework.Status.DerivedStatus.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.Status.DerivedStatus.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.StepStats.Builder
mergeFrom(StepStats) - Method in class org.tensorflow.proto.framework.StepStats.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.StepStats.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder
mergeFrom(StructuredValue) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder
mergeFrom(Summary.Audio) - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.Summary.Builder
mergeFrom(Summary) - Method in class org.tensorflow.proto.framework.Summary.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.Summary.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.Summary.Image.Builder
mergeFrom(Summary.Image) - Method in class org.tensorflow.proto.framework.Summary.Image.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.Summary.Image.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder
mergeFrom(Summary.Value) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.SummaryDescription.Builder
mergeFrom(SummaryDescription) - Method in class org.tensorflow.proto.framework.SummaryDescription.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.SummaryDescription.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder
mergeFrom(SummaryMetadata) - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData.Builder
mergeFrom(SummaryMetadata.PluginData) - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.TensorConnection.Builder
mergeFrom(TensorConnection) - Method in class org.tensorflow.proto.framework.TensorConnection.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.TensorConnection.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.TensorDescription.Builder
mergeFrom(TensorDescription) - Method in class org.tensorflow.proto.framework.TensorDescription.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.TensorDescription.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.TensorInfo.Builder
mergeFrom(TensorInfo) - Method in class org.tensorflow.proto.framework.TensorInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.TensorInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder
mergeFrom(TensorInfo.CompositeTensor) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder
mergeFrom(TensorInfo.CooSparse) - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.TensorProto.Builder
mergeFrom(TensorProto) - Method in class org.tensorflow.proto.framework.TensorProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.TensorProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder
mergeFrom(TensorShapeProto) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim.Builder
mergeFrom(TensorShapeProto.Dim) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder
mergeFrom(TensorSliceProto) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent.Builder
mergeFrom(TensorSliceProto.Extent) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder
mergeFrom(TensorSpecProto) - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto.Builder
mergeFrom(ThreadPoolOptionProto) - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder
mergeFrom(TrackableObjectGraph) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder
mergeFrom(TrackableObjectGraph.TrackableObject) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
mergeFrom(TrackableObjectGraph.TrackableObject.ObjectReference) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
mergeFrom(TrackableObjectGraph.TrackableObject.SerializedTensor) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
mergeFrom(TrackableObjectGraph.TrackableObject.SlotVariableReference) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.TupleValue.Builder
mergeFrom(TupleValue) - Method in class org.tensorflow.proto.framework.TupleValue.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.TupleValue.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder
mergeFrom(TypeSpecProto) - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.ValuesDef.Builder
mergeFrom(ValuesDef) - Method in class org.tensorflow.proto.framework.ValuesDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.ValuesDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.VariableDef.Builder
mergeFrom(VariableDef) - Method in class org.tensorflow.proto.framework.VariableDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.VariableDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder
mergeFrom(VariantTensorDataProto) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.VerifierConfig.Builder
mergeFrom(VerifierConfig) - Method in class org.tensorflow.proto.framework.VerifierConfig.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.VerifierConfig.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.VersionDef.Builder
mergeFrom(VersionDef) - Method in class org.tensorflow.proto.framework.VersionDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.VersionDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder
mergeFrom(WhileContextDef) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder
mergeFrom(ProfileOptions) - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder
mergeFrom(RemoteProfilerSessionManagerOptions) - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.profiler.XEvent.Builder
mergeFrom(XEvent) - Method in class org.tensorflow.proto.profiler.XEvent.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.profiler.XEvent.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder
mergeFrom(XEventMetadata) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.profiler.XLine.Builder
mergeFrom(XLine) - Method in class org.tensorflow.proto.profiler.XLine.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.profiler.XLine.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.profiler.XPlane.Builder
mergeFrom(XPlane) - Method in class org.tensorflow.proto.profiler.XPlane.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.profiler.XPlane.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.profiler.XSpace.Builder
mergeFrom(XSpace) - Method in class org.tensorflow.proto.profiler.XSpace.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.profiler.XSpace.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.profiler.XStat.Builder
mergeFrom(XStat) - Method in class org.tensorflow.proto.profiler.XStat.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.profiler.XStat.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder
mergeFrom(XStatMetadata) - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.BinSummary.Builder
mergeFrom(BinSummary) - Method in class org.tensorflow.proto.util.BinSummary.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.BinSummary.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder
mergeFrom(BundleEntryProto) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder
mergeFrom(BundleHeaderProto) - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.CodeLocation.Builder
mergeFrom(CodeLocation) - Method in class org.tensorflow.proto.util.CodeLocation.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.CodeLocation.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.DebugEvent.Builder
mergeFrom(DebugEvent) - Method in class org.tensorflow.proto.util.DebugEvent.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.DebugEvent.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.DebuggedDevice.Builder
mergeFrom(DebuggedDevice) - Method in class org.tensorflow.proto.util.DebuggedDevice.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.DebuggedDevice.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder
mergeFrom(DebuggedGraph) - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.DebugMetadata.Builder
mergeFrom(DebugMetadata) - Method in class org.tensorflow.proto.util.DebugMetadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.DebugMetadata.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.Event.Builder
mergeFrom(Event) - Method in class org.tensorflow.proto.util.Event.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.Event.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.Execution.Builder
mergeFrom(Execution) - Method in class org.tensorflow.proto.util.Execution.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.Execution.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder
mergeFrom(GraphExecutionTrace) - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder
mergeFrom(GraphOpCreation) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.
mergeFrom(LogMessage) - Method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.
mergeFrom(Message) - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder
mergeFrom(MemAllocatorStats) - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.MemChunk.Builder
mergeFrom(MemChunk) - Method in class org.tensorflow.proto.util.MemChunk.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.MemChunk.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder
mergeFrom(MemmappedFileSystemDirectory) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder
mergeFrom(MemmappedFileSystemDirectoryElement) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.MemoryDump.Builder
mergeFrom(MemoryDump) - Method in class org.tensorflow.proto.util.MemoryDump.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.MemoryDump.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.RequestedExitCode.Builder
mergeFrom(RequestedExitCode) - Method in class org.tensorflow.proto.util.RequestedExitCode.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.RequestedExitCode.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.SavedSlice.Builder
mergeFrom(SavedSlice) - Method in class org.tensorflow.proto.util.SavedSlice.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.SavedSlice.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder
mergeFrom(SavedSliceMeta) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder
mergeFrom(SavedTensorSliceMeta) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder
mergeFrom(SavedTensorSlices) - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.SaverDef.Builder
mergeFrom(SaverDef) - Method in class org.tensorflow.proto.util.SaverDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.SaverDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.SessionLog.Builder
mergeFrom(SessionLog) - Method in class org.tensorflow.proto.util.SessionLog.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.SessionLog.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.SnapShot.Builder
mergeFrom(SnapShot) - Method in class org.tensorflow.proto.util.SnapShot.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.SnapShot.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.SourceFile.Builder
mergeFrom(SourceFile) - Method in class org.tensorflow.proto.util.SourceFile.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.SourceFile.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder
mergeFrom(StackFrameWithId) - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.TaggedRunMetadata.Builder
mergeFrom(TaggedRunMetadata) - Method in class org.tensorflow.proto.util.TaggedRunMetadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.TaggedRunMetadata.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder
mergeFrom(AvailableDeviceInfo) - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder
mergeFrom(BenchmarkEntries) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder
mergeFrom(BenchmarkEntry) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder
mergeFrom(BuildConfiguration) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder
mergeFrom(CommitId) - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder
mergeFrom(CPUInfo) - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.testlog.EntryValue.Builder
mergeFrom(EntryValue) - Method in class org.tensorflow.proto.util.testlog.EntryValue.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.testlog.EntryValue.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder
mergeFrom(GPUInfo) - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder
mergeFrom(MachineConfiguration) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.testlog.MemoryInfo.Builder
mergeFrom(MemoryInfo) - Method in class org.tensorflow.proto.util.testlog.MemoryInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.testlog.MemoryInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder
mergeFrom(MetricEntry) - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder
mergeFrom(PlatformInfo) - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder
mergeFrom(RunConfiguration) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder
mergeFrom(TestResults) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.WatchdogConfig.Builder
mergeFrom(WatchdogConfig) - Method in class org.tensorflow.proto.util.WatchdogConfig.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.WatchdogConfig.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder
mergeFrom(WorkerHeartbeatRequest) - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder
mergeFrom(WorkerHeartbeatResponse) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder
mergeFullargspec(StructuredValue) - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder: Full arg spec from inspect.getfullargspec().
mergeFunc(NameAttrList) - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "func" represents a function.
mergeFunction(SavedFunction) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedFunction function = 6;
mergeFunctionSpec(FunctionSpec) - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder: The spec of the function that this ConcreteFunction is traced from.
mergeFunctionSpec(FunctionSpec) - Method in class org.tensorflow.proto.framework.SavedFunction.Builder: .tensorflow.FunctionSpec function_spec = 2;
mergeGpuOptions(GPUOptions) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Options that apply to all GPUs.
mergeGraphDef(GraphDef) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: GraphDef.
mergeGraphExecutionTrace(GraphExecutionTrace) - Method in class org.tensorflow.proto.util.DebugEvent.Builder: A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
mergeGraphOpCreation(GraphOpCreation) - Method in class org.tensorflow.proto.util.DebugEvent.Builder: The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
mergeGraphOptions(GraphOptions) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Options that apply to all graphs.
mergeHisto(HistogramProto) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.HistogramProto histo = 5;
mergeImage(Summary.Image) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.Summary.Image image = 4;
mergeInputSignature(StructuredValue) - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder: The input signature, if specified.
mergeInt64List(Int64List) - Method in class org.tensorflow.proto.example.Feature.Builder: .tensorflow.Int64List int64_list = 3;
mergeInt64List(CollectionDef.Int64List) - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.Int64List int64_list = 3;
mergeInterOptimizerVerifierConfig(VerifierConfig) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run after every optimizer.
mergeLibrary(FunctionDefLibrary) - Method in class org.tensorflow.proto.framework.GraphDef.Builder: "library" provides user-defined functions.
mergeLinks(LocalLinks) - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder: Optional local interconnect links to other devices.
mergeList(AttrValue.ListValue) - Method in class org.tensorflow.proto.framework.AttrValue.Builder: any "list(...)"
mergeListValue(ListValue) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a list of `Value`.
mergeLocality(DeviceLocality) - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: Platform-specific data about device that may be useful for supporting efficient data transfers.
mergeLogMessage(LogMessage) - Method in class org.tensorflow.proto.util.Event.Builder: Deprecated.
mergeMachineConfiguration(MachineConfiguration) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: Machine-specific parameters (Platform and CPU info)
mergeMaximum(TensorProto) - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto maximum = 5;
mergeMaxValue(DoubleValue) - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder: The maximum acceptable value for the metric if specified
mergeMemoryInfo(MemoryInfo) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: .tensorflow.MemoryInfo memory_info = 6;
mergeMemoryStats(MemoryStats) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: .tensorflow.MemoryStats memory_stats = 12;
mergeMeta(SavedTensorSliceMeta) - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder: This is only present at the first item of each checkpoint file and serves as a table of contents, listing all the tensor slices saved in this file.
mergeMetadata(SummaryMetadata) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: Contains metadata on the summary value such as which plugins may use it.
mergeMetaInfoDef(MetaGraphDef.MetaInfoDef) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
mergeMinimum(TensorProto) - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto minimum = 4;
mergeMinValue(DoubleValue) - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder: The minimum acceptable value for the metric if specified
mergeNamedTupleValue(NamedTupleValue) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents Python's namedtuple.
mergeNodeList(CollectionDef.NodeList) - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.NodeList node_list = 1;
mergeNoneValue(NoneValue) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents None.
mergeObjectGraphDef(SavedObjectGraph) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Extra information about the structure of functions and stateful objects.
mergeOp(OpInfo) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: The op
mergeOpMemory(OpPerformance.OpMemory) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: .tensorflow.OpPerformance.OpMemory op_memory = 9;
mergeOptimizationOptions(OptimizationOptions) - Method in class org.tensorflow.proto.data.Options.Builder: The optimization options associated with the dataset.
mergeOptimizationParams(ModelProto.OptimizationParams) - Method in class org.tensorflow.proto.data.model.ModelProto.Builder: .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
mergeOptimizerOptions(OptimizerOptions) - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: Options controlling how graph is optimized.
mergeOutputSignature(StructuredValue) - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder: Output that was the return value of this function after replacing all Tensors with TensorSpecs.
mergePlatformInfo(PlatformInfo) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Additional platform information.
mergePluginData(SummaryMetadata.PluginData) - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder: Data that associates a summary with a certain plugin.
mergePostOptimizationGraph(GraphDef) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef post_optimization_graph = 3;
mergePostOptimizationVerifierConfig(VerifierConfig) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
mergePreOptimizationGraph(GraphDef) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef pre_optimization_graph = 2;
mergeProfilerOptions(ProfileOptions) - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder: Options for each local profiler.
mergeProperties(DeviceProperties) - Method in class org.tensorflow.proto.framework.NamedDevice.Builder: .tensorflow.DeviceProperties properties = 2;
mergeRepeated - Variable in class org.tensorflow.op.nn.CtcBeamSearchDecoder.Inputs: If true, merge repeated classes in output.
mergeRepeated(Boolean) - Static method in class org.tensorflow.op.nn.CtcBeamSearchDecoder: Sets the mergeRepeated option.
mergeRepeated(Boolean) - Method in class org.tensorflow.op.nn.CtcBeamSearchDecoder.Options: Sets the mergeRepeated option.
mergeRepeated - Variable in class org.tensorflow.op.nn.CtcGreedyDecoder.Inputs: If True, merge repeated classes in output.
mergeRepeated(Boolean) - Static method in class org.tensorflow.op.nn.CtcGreedyDecoder: Sets the mergeRepeated option.
mergeRepeated(Boolean) - Method in class org.tensorflow.op.nn.CtcGreedyDecoder.Options: Sets the mergeRepeated option.
mergeResource(SavedResource) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedResource resource = 10;
mergeRewriteOptions(RewriterConfig) - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: Options that control the type and amount of graph rewriting.
mergeRpcOptions(RPCOptions) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Options that apply when this session uses the distributed runtime.
mergeRunConfiguration(RunConfiguration) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: Run-specific parameters (arguments, etc)
mergeRunHandlerPoolOptions(RunOptions.Experimental.RunHandlerPoolOptions) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder: .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
mergeRunOptions(RunOptions) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Options that will be applied to each run.
mergeSaverDef(SaverDef) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: SaverDef.
mergeSaveSliceInfoDef(SaveSliceInfoDef) - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Support for saving variables as slices of a larger variable.
mergeScopedAllocatorOpts(ScopedAllocatorOptions) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
mergeSerializedUserProto(Any) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: The user-generated proto storing metadata for this object, to be passed to the registered classes's _deserialize_from_proto method when this object is loaded from the SavedModel.
mergeSessionInfo(SessionInfo) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Information about the session configs.
mergeSessionInfo(SessionInfo) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: Deprecated.
mergeSessionLog(SessionLog) - Method in class org.tensorflow.proto.util.Event.Builder: The state of the session which can be used for restarting after crashes.
mergeSessionMetadata(SessionMetadata) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Metadata about the session.
mergeShape(TensorShapeProto) - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder: .tensorflow.TensorShapeProto shape = 2;
mergeShape(TensorShapeProto) - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "shape"
mergeShape(TensorShapeProto) - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
mergeShape(TensorShapeProto) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.TensorShapeProto shape = 3;
mergeShape(TensorShapeProto) - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder: .tensorflow.TensorShapeProto shape = 2;
mergeShape(TensorShapeProto) - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder: .tensorflow.TensorShapeProto shape = 2;
mergeShape(TensorShapeProto) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder: .tensorflow.TensorShapeProto shape = 2;
mergeShape(TensorShapeProto) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: .tensorflow.TensorShapeProto shape = 2;
mergeShape(TensorShapeProto) - Method in class org.tensorflow.proto.framework.TensorDescription.Builder: Shape of the tensor.
mergeShape(TensorShapeProto) - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
mergeShape(TensorShapeProto) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: .tensorflow.TensorShapeProto shape = 2;
mergeShape(TensorShapeProto) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Shape of the tensor
mergeSignature(OpDef) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: The definition of the function's name, arguments, return values, attrs etc.
mergeSlice(TensorSliceProto) - Method in class org.tensorflow.proto.util.SavedSlice.Builder: Extent of the slice.
mergeSourceFile(SourceFile) - Method in class org.tensorflow.proto.util.DebugEvent.Builder: The content of a source file.
mergeStackFrameWithId(StackFrameWithId) - Method in class org.tensorflow.proto.util.DebugEvent.Builder: A stack frame (filename, line number and column number, function name and code string) with ID.
mergeStats(MemAllocatorStats) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: .tensorflow.MemAllocatorStats stats = 5;
mergeStepStats(StepStats) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: Statistics traced for this step.
mergeStrippedOpList(OpList) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: A copy of the OpDefs used by the producer of this graph_def.
MergeSummary - Class in org.tensorflow.op.summary: Merges summaries.
MergeSummary(Operation) - Constructor for class org.tensorflow.op.summary.MergeSummary
mergeSummary(Iterable<Operand<TString>>) - Method in class org.tensorflow.op.SummaryOps: Merges summaries.
mergeSummary(Summary) - Method in class org.tensorflow.proto.util.Event.Builder: A summary was generated.
MergeSummary.Inputs - Class in org.tensorflow.op.summary
mergeTaggedRunMetadata(TaggedRunMetadata) - Method in class org.tensorflow.proto.util.Event.Builder: The metadata returned by running a session.run() call.
mergeTensor(TensorProto) - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "tensor"
mergeTensor(TensorDescription) - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder: Allocated tensor details.
mergeTensor(TensorDescription) - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder: Output tensor details.
mergeTensor(TensorProto) - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
mergeTensor(TensorProto) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.TensorProto tensor = 8;
mergeTensorDescription(TensorDescription) - Method in class org.tensorflow.proto.framework.NodeOutput.Builder: .tensorflow.TensorDescription tensor_description = 3;
mergeTensorInfo(TensorInfo) - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder: The tensor to bind the asset filename to.
mergeTensorProto(TensorProto) - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Tensor value in the type described by `tensor_value_type`.
mergeTensorShape(TensorShapeProto) - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder: .tensorflow.TensorShapeProto tensor_shape = 2;
mergeTensorShape(TensorShapeProto) - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: The static shape should be recorded here, to the extent that it can be known in advance.
mergeTensorShape(TensorShapeProto) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: Shape of the tensor.
mergeTensorShapeValue(TensorShapeProto) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a TensorShape.
mergeTensorSpecValue(TensorSpecProto) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a value for tf.TensorSpec.
mergeThreadingOptions(ThreadingOptions) - Method in class org.tensorflow.proto.data.Options.Builder: The threading options associated with the dataset.
mergeTupleValue(TupleValue) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a tuple of `Value`.
mergeTypeSpec(TypeSpecProto) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder: The serialized TypeSpec for the composite tensor.
mergeTypeSpecProto(TypeSpecProto) - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder: .tensorflow.TypeSpecProto type_spec_proto = 1;
mergeTypeSpecValue(TypeSpecProto) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a value for tf.TypeSpec.
mergeTypeState(StructuredValue) - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder: The value returned by TypeSpec._serialize().
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DistributeOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.model.ModelProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.Options.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.ThreadingOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.distruntime.JobDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.example.BytesList.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.example.Example.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.example.Feature.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.example.FeatureList.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.example.FeatureLists.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.example.Features.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.example.FloatList.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.example.Int64List.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.example.SequenceExample.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.AllocationRecord.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ApiDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ApiDefs.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.AttrValue.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.AutoParallelOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CapturedTensor.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CollectionDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.DebugOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.DictValue.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GPUOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GradientDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GraphDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GraphOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.HistogramProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.KernelDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.KernelList.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ListValue.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.LocalLinks.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.LogNormalDistribution.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.MemoryLogStep.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.MemoryStats.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.NameAttrList.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.NamedDevice.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.NodeDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.NodeOutput.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.NoneValue.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.NormalDistribution.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.OpDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.OpDeprecation.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.OpInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.OpList.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.PairValue.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.RegisteredGradient.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.RPCOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.RunOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SaveableObject.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SavedAsset.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SavedConstant.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SavedFunction.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SavedModel.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SavedObject.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SavedResource.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SessionInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SessionMetadata.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SignatureDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.Status.DerivedStatus.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.StepStats.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.Summary.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.Summary.Image.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SummaryDescription.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TensorConnection.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TensorDescription.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TensorInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TensorProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TupleValue.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ValuesDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.VariableDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.VerifierConfig.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.VersionDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.XEvent.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.XLine.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.XPlane.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.XSpace.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.XStat.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.BinSummary.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.CodeLocation.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.DebugEvent.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.DebuggedDevice.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.DebugMetadata.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.Event.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.Execution.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.MemChunk.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.MemoryDump.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.RequestedExitCode.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.SavedSlice.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.SaverDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.SessionLog.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.SnapShot.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.SourceFile.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.TaggedRunMetadata.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.testlog.EntryValue.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.testlog.MemoryInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.WatchdogConfig.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder
mergeUserObject(SavedUserObject) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedUserObject user_object = 4;
MergeV2Checkpoints - Class in org.tensorflow.op.train: V2 format specific: merges the metadata files of sharded checkpoints.
MergeV2Checkpoints(Operation) - Constructor for class org.tensorflow.op.train.MergeV2Checkpoints
mergeV2Checkpoints(Operand<TString>, Operand<TString>, MergeV2Checkpoints.Options...) - Method in class org.tensorflow.op.TrainOps: V2 format specific: merges the metadata files of sharded checkpoints.
MergeV2Checkpoints.Inputs - Class in org.tensorflow.op.train
MergeV2Checkpoints.Options - Class in org.tensorflow.op.train: Optional attributes for MergeV2Checkpoints
mergeValue(TensorProto) - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder: .tensorflow.TensorProto value = 3;
mergeValue(StructuredValue) - Method in class org.tensorflow.proto.framework.PairValue.Builder: .tensorflow.StructuredValue value = 2;
mergeValuesDef(ValuesDef) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Values and external values in control flow context.
mergeValuesDef(ValuesDef) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Values and external values in control flow context.
mergeVariable(SavedVariable) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedVariable variable = 7;
mergeVarLenFeature(VarLenFeatureProto) - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
mergeVersion(VersionDef) - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder: Version information from the producer of this SavedUserObject.
mergeVersion(VersionDef) - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder: Versioning of the tensor bundle format.
mergeVersions(VersionDef) - Method in class org.tensorflow.proto.framework.GraphDef.Builder: Compatibility versions of the graph.
mergeVersions(VersionDef) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder: Compatibility version of this checkpoint.
mergeWatchdogConfig(WatchdogConfig) - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder: .tensorflow.WatchdogConfig watchdog_config = 2;
mergeWhileCtxt(WhileContextDef) - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder: .tensorflow.WhileContextDef while_ctxt = 2;
message - Variable in class org.tensorflow.op.debugging.CheckNumerics.Inputs: Prefix of the error message.
message - Variable in class org.tensorflow.op.train.PreventGradient.Inputs: Will be printed in the error when anyone tries to differentiate this operation.
message(String) - Static method in class org.tensorflow.op.train.PreventGradient: Sets the message option.
message(String) - Method in class org.tensorflow.op.train.PreventGradient.Options: Sets the message option.
MESSAGE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.LogMessage: Deprecated.
messageFormat - Variable in class org.tensorflow.op.core.DecodeProto.Inputs: Either `binary` or `text`.
messageFormat(String) - Static method in class org.tensorflow.op.core.DecodeProto: Sets the messageFormat option.
messageFormat(String) - Method in class org.tensorflow.op.core.DecodeProto.Options: Sets the messageFormat option.
messageType - Variable in class org.tensorflow.op.core.DecodeProto.Inputs: Name of the proto message type to decode.
messageType - Variable in class org.tensorflow.op.core.EncodeProto.Inputs: Name of the proto message type to decode.
META_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.SavedTensorSlices
meta_graph_def - Variable in class org.tensorflow.internal.c_api.AbstractTF_Session
META_GRAPH_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.Event
META_GRAPH_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
META_GRAPHS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedModel
META_INFO_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MetaGraphDef
META_OPTIMIZER_ITERATIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
META_OPTIMIZER_TIMEOUT_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
metadata - Variable in class org.tensorflow.op.core.CompositeTensorVariantFromComponents.Inputs: String serialization for the TypeSpec.
metadata - Variable in class org.tensorflow.op.core.CompositeTensorVariantToComponents.Inputs: String serialization for the TypeSpec.
metadata - Variable in class org.tensorflow.op.data.BatchDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.BatchDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.BatchDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.CacheDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.CacheDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.CacheDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.ConcatenateDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.ConcatenateDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ConcatenateDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.DatasetToSingleElement.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.DatasetToSingleElement: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.DatasetToSingleElement.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.FilterDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.FilterDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.FilterDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.FixedLengthRecordDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.FixedLengthRecordDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.FixedLengthRecordDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.FlatMapDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.FlatMapDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.FlatMapDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.GeneratorDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.GeneratorDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.GeneratorDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.GroupByWindowDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.GroupByWindowDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.InterleaveDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.InterleaveDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.InterleaveDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.LegacyParallelInterleaveDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.MapAndBatchDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.MapAndBatchDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.MapDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.MapDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.MapDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.OptionsDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.OptionsDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.OptionsDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.PaddedBatchDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.PaddedBatchDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.PaddedBatchDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.ParallelBatchDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.ParallelBatchDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ParallelBatchDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.ParallelInterleaveDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ParallelInterleaveDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.ParallelMapDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ParallelMapDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.PrefetchDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.PrefetchDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.PrefetchDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.RandomDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.RandomDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.RandomDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.RangeDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.RangeDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.RangeDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.ReduceDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.ReduceDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ReduceDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.RepeatDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.RepeatDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.RepeatDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.ScanDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ScanDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.ShardDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.ShardDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ShardDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.ShuffleAndRepeatDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.ShuffleDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.ShuffleDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ShuffleDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.SkipDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.SkipDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.SkipDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.SnapshotDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.SnapshotDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.TakeDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.TakeDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.TakeDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.TakeWhileDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.TakeWhileDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.TakeWhileDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.TensorDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.TensorDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.TensorDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.TensorSliceDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.TensorSliceDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.TensorSliceDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.TextLineDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.TextLineDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.TextLineDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.TfRecordDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.TfRecordDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.TfRecordDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.UnbatchDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.UnbatchDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.UnbatchDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.UniqueDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.UniqueDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.UniqueDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.WindowDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.WindowDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.WindowDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.data.ZipDataset.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.ZipDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ZipDataset.Options: Sets the metadata option.
metadata - Variable in class org.tensorflow.op.tpu.Compile.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.Session.Run: Metadata about the run.
METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedUserObject
METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.Summary.Value
METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.VariantTensorDataProto
METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XEventMetadata
METADATA_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XEvent
METADATA_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XStat
MetaGraphDef - Class in org.tensorflow.proto.framework: NOTE: This protocol buffer is evolving, and will go through revisions in the coming months.
metaGraphDef() - Method in class org.tensorflow.SavedModelBundle: Returns the MetaGraphDef protocol buffer associated with the saved model.
MetaGraphDef.Builder - Class in org.tensorflow.proto.framework: NOTE: This protocol buffer is evolving, and will go through revisions in the coming months.
MetaGraphDef.MetaInfoDef - Class in org.tensorflow.proto.framework: Meta information regarding the graph to be exported.
MetaGraphDef.MetaInfoDef.Builder - Class in org.tensorflow.proto.framework: Meta information regarding the graph to be exported.
MetaGraphDef.MetaInfoDefOrBuilder - Interface in org.tensorflow.proto.framework
MetaGraphDefOrBuilder - Interface in org.tensorflow.proto.framework
MetaGraphProtos - Class in org.tensorflow.proto.framework
method - Variable in class org.tensorflow.op.core.Fingerprint.Inputs: Fingerprint method used by this op.
method - Variable in class org.tensorflow.op.image.CropAndResize.Inputs: A string specifying the sampling method for resizing.
method(String) - Static method in class org.tensorflow.op.image.CropAndResize: Sets the method option.
method(String) - Method in class org.tensorflow.op.image.CropAndResize.Options: Sets the method option.
method - Variable in class org.tensorflow.op.image.CropAndResizeGradBoxes.Inputs: A string specifying the interpolation method.
method(String) - Static method in class org.tensorflow.op.image.CropAndResizeGradBoxes: Sets the method option.
method(String) - Method in class org.tensorflow.op.image.CropAndResizeGradBoxes.Options: Sets the method option.
method - Variable in class org.tensorflow.op.image.CropAndResizeGradImage.Inputs: A string specifying the interpolation method.
method(String) - Static method in class org.tensorflow.op.image.CropAndResizeGradImage: Sets the method option.
method(String) - Method in class org.tensorflow.op.image.CropAndResizeGradImage.Options: Sets the method option.
METHOD_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SignatureDef
methodName(String) - Method in class org.tensorflow.Signature.Builder: Provide extensible name information enabling third-party users to mark a signature as supporting a particular method
methodName() - Method in class org.tensorflow.Signature: Returns the method name of this signature (e.g.
MetricEntry - Class in org.tensorflow.proto.util.testlog: Protobuf type tensorflow.MetricEntry
MetricEntry.Builder - Class in org.tensorflow.proto.util.testlog: Protobuf type tensorflow.MetricEntry
MetricEntryOrBuilder - Interface in org.tensorflow.proto.util.testlog
METRICS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.BenchmarkEntry
Mfcc - Class in org.tensorflow.op.audio: Transforms a spectrogram into a form that's useful for speech recognition.
Mfcc(Operation) - Constructor for class org.tensorflow.op.audio.Mfcc
mfcc(Operand<TFloat32>, Operand<TInt32>, Mfcc.Options...) - Method in class org.tensorflow.op.AudioOps: Transforms a spectrogram into a form that's useful for speech recognition.
Mfcc.Inputs - Class in org.tensorflow.op.audio
Mfcc.Options - Class in org.tensorflow.op.audio: Optional attributes for Mfcc
mg - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs: Value of mg used in the centered RMSProp optimization algorithm.
mg() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters: Gets mg.
mg - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: Should be from a Variable().
mg - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: Should be from a Variable().
mg - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: Should be from a Variable().
mg - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: Should be from a Variable().
MHZ_PER_CPU_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.CPUInfo
Min<T extends TNumber> - Class in org.tensorflow.op.core: Computes the minimum of elements across dimensions of a tensor.
Min(Operation) - Constructor for class org.tensorflow.op.core.Min
min - Variable in class org.tensorflow.op.image.QuantizedResizeBilinear.Inputs: The min input
min(Operand<T>, Operand<? extends TNumber>, Min.Options...) - Method in class org.tensorflow.op.Ops: Computes the minimum of elements across dimensions of a tensor.
min - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Inputs: The min attribute
min(Float) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs: Sets the min option.
min(Float) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Options: Sets the min option.
min - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Inputs: The min attribute
min(Float) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient: Sets the min option.
min(Float) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Options: Sets the min option.
min - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars.Inputs: The min input
min - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Inputs: The min input
min - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel.Inputs: The min input
min - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Inputs: The min input
Min.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
Min.Options - Class in org.tensorflow.op.core: Optional attributes for Min
MIN_CONSUMER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.VersionDef
MIN_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
MIN_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.HistogramProto
MIN_GRAPH_NODES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
MIN_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.MetricEntry
minA - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: The float value that the lowest quantized a value represents.
minA - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: The float value that the lowest quantized a value represents.
minA - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: The float value that the lowest quantized a value represents.
minA - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The float value that the lowest quantized a value represents.
minA - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The minA input
minA - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The minA input
minActivations() - Method in class org.tensorflow.op.nn.QuantizedRelu: Gets minActivations.
minActivations() - Method in class org.tensorflow.op.nn.QuantizedRelu6: Gets minActivations.
minActivations() - Method in class org.tensorflow.op.nn.QuantizedReluX: Gets minActivations.
minAfterDequeue - Variable in class org.tensorflow.op.io.RandomShuffleQueue.Inputs: Dequeue will block unless there would be this many elements after the dequeue or the queue is closed.
minAfterDequeue(Long) - Static method in class org.tensorflow.op.io.RandomShuffleQueue: Sets the minAfterDequeue option.
minAfterDequeue(Long) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options: Sets the minAfterDequeue option.
minB - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: The float value that the lowest quantized b value represents.
minB - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: The float value that the lowest quantized b value represents.
minB - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: The float value that the lowest quantized b value represents.
minB - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The float value that the lowest quantized b value represents.
minB - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The minB input
minB - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The minB input
minBias - Variable in class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs: The float value that the lowest quantized bias value represents.
minCount - Variable in class org.tensorflow.op.core.Skipgram.Inputs: The minimum number of word occurrences for it to be included in the vocabulary.
minCount(Long) - Static method in class org.tensorflow.op.core.Skipgram: Sets the minCount option.
minCount(Long) - Method in class org.tensorflow.op.core.Skipgram.Options: Sets the minCount option.
minFeatures - Variable in class org.tensorflow.op.nn.QuantizedRelu.Inputs: The float value that the lowest quantized value represents.
minFeatures - Variable in class org.tensorflow.op.nn.QuantizedRelu6.Inputs: The float value that the lowest quantized value represents.
minFeatures - Variable in class org.tensorflow.op.nn.QuantizedReluX.Inputs: The float value that the lowest quantized value represents.
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The float value that the lowest quantized filter value represents.
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The minimum value of the filter tensor.
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The float value that the minimum quantized filter value represents.
minFilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The float value that the minimum quantized filter value represents.
minFilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The float value that the minimum quantized filter value represents.
minFilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The float value that the minimum quantized filter value represents.
minFreezedOutput - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The float value that the highest quantized output value after requantize.
minFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The minFreezedOutput input
minFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The minFreezedOutput input
minFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The minFreezedOutput input
minFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The minFreezedOutput input
minFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The minFreezedOutput input
minFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The minFreezedOutput input
minFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The minimum float value of the output tensor.
minFreezedOutput - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The minFreezedOutput input
minFreezedOutput - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The minFreezedOutput input
Minimum<T extends TNumber> - Class in org.tensorflow.op.math: Returns the min of x and y (i.e.
Minimum(Operation) - Constructor for class org.tensorflow.op.math.Minimum
minimum(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns the min of x and y (i.e.
Minimum.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
MINIMUM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.BoundedTensorSpecProto
MINIMUM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef.AttrDef
minInput - Variable in class org.tensorflow.op.nn.QuantizedAvgPool.Inputs: The float value that the lowest quantized input value represents.
minInput - Variable in class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs: The float value that the lowest quantized input value represents.
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The float value that the lowest quantized input value represents.
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The minimum value of the input tensor
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The float value that the minimum quantized input value represents.
minInput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The float value that the minimum quantized input value represents.
minInput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The float value that the minimum quantized input value represents.
minInput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The float value that the minimum quantized input value represents.
minInput - Variable in class org.tensorflow.op.nn.QuantizedMaxPool.Inputs: The float value that the lowest quantized input value represents.
minlength - Variable in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Inputs: Minimum value to count.
minlength(Long) - Static method in class org.tensorflow.op.ragged.RaggedCountSparseOutput: Sets the minlength option.
minlength(Long) - Method in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Options: Sets the minlength option.
minlength - Variable in class org.tensorflow.op.sparse.DenseCountSparseOutput.Inputs: Minimum value to count.
minlength(Long) - Static method in class org.tensorflow.op.sparse.DenseCountSparseOutput: Sets the minlength option.
minlength(Long) - Method in class org.tensorflow.op.sparse.DenseCountSparseOutput.Options: Sets the minlength option.
minlength - Variable in class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs: Minimum value to count.
minlength(Long) - Static method in class org.tensorflow.op.sparse.SparseCountSparseOutput: Sets the minlength option.
minlength(Long) - Method in class org.tensorflow.op.sparse.SparseCountSparseOutput.Options: Sets the minlength option.
minNodeWeight - Variable in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplit.Inputs: minimum avg of hessians in a node before required for the node to be considered for splitting.
minNodeWeight - Variable in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplitV2.Inputs: minimum avg of hessians in a node before required for the node to be considered for splitting.
minNodeWeight - Variable in class org.tensorflow.op.estimator.BoostedTreesCalculateBestGainsPerFeature.Inputs: minimum avg of hessians in a node before required for the node to be considered for splitting.
minNodeWeight - Variable in class org.tensorflow.op.estimator.BoostedTreesSparseCalculateBestFeatureSplit.Inputs: minimum avg of hessians in a node before required for the node to be considered for splitting.
minObjectCovered - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: The cropped area of the image must contain at least this fraction of any bounding box supplied.
minObjectCovered - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: The cropped area of the image must contain at least this fraction of any bounding box supplied.
minOut() - Method in class org.tensorflow.op.linalg.QuantizedMatMul: Gets minOut.
minOut() - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias: Gets minOut.
minOut() - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu: Gets minOut.
minOut() - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize: Gets minOut.
minOut() - Method in class org.tensorflow.op.nn.QuantizedBiasAdd: Gets minOut.
minOut() - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize: Gets minOut.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedAvgPool: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2d: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DPerChannel: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBias: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedMaxPool: Gets minOutput.
minRange - Variable in class org.tensorflow.op.quantization.Dequantize.Inputs: The minimum scalar value possibly produced for the input.
minRange - Variable in class org.tensorflow.op.quantization.Quantize.Inputs: The minimum value of the quantization range.
minRange - Variable in class org.tensorflow.op.xla.Dequantize.Inputs: The minimum scalar value possibly produced for the input.
minSeparation - Variable in class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs: Minimum value of `y_max - y_min`
minSeparation(Float) - Static method in class org.tensorflow.op.nn.QuantizedInstanceNorm: Sets the minSeparation option.
minSeparation(Float) - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm.Options: Sets the minSeparation option.
minSize - Variable in class org.tensorflow.op.image.GenerateBoundingBoxProposals.Inputs: A scalar float tensor.
minSummand - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The minSummand input
minSummand - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The minSummand input
minval - Variable in class org.tensorflow.op.random.RandomUniformInt.Inputs: 0-D.
minval - Variable in class org.tensorflow.op.random.StatefulUniformInt.Inputs: Minimum value (inclusive, scalar).
minval - Variable in class org.tensorflow.op.random.StatelessRandomUniformInt.Inputs: Minimum value (inclusive, scalar).
minval - Variable in class org.tensorflow.op.random.StatelessRandomUniformIntV2.Inputs: Minimum value (inclusive, scalar).
minvals - Variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs: The minimum cutoff.
minvals - Variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs: The minimum cutoff.
minX - Variable in class org.tensorflow.op.math.QuantizedAdd.Inputs: The float value that the lowest quantized x value represents.
minX - Variable in class org.tensorflow.op.math.QuantizedMul.Inputs: The float value that the lowest quantized x value represents.
minY - Variable in class org.tensorflow.op.math.QuantizedAdd.Inputs: The float value that the lowest quantized y value represents.
minY - Variable in class org.tensorflow.op.math.QuantizedMul.Inputs: The float value that the lowest quantized y value represents.
minZ() - Method in class org.tensorflow.op.math.QuantizedAdd: Gets minZ.
minZ() - Method in class org.tensorflow.op.math.QuantizedMul: Gets minZ.
MirrorPad<T extends TType> - Class in org.tensorflow.op.core: Pads a tensor with mirrored values.
MirrorPad(Operation) - Constructor for class org.tensorflow.op.core.MirrorPad
mirrorPad(Operand<T>, Operand<? extends TNumber>, String) - Method in class org.tensorflow.op.Ops: Pads a tensor with mirrored values.
MirrorPad.Inputs<T extends TType> - Class in org.tensorflow.op.core
MirrorPadGrad<T extends TType> - Class in org.tensorflow.op.core: Gradient op for MirrorPad op.
MirrorPadGrad(Operation) - Constructor for class org.tensorflow.op.core.MirrorPadGrad
MirrorPadGrad.Inputs<T extends TType> - Class in org.tensorflow.op.core
MLIR_BRIDGE_ROLLOUT_DISABLED_VALUE - Static variable in enum org.tensorflow.proto.framework.ConfigProto.Experimental.MlirBridgeRollout: Disabling the MLIR bridge disables it for all graphs in this session.
MLIR_BRIDGE_ROLLOUT_ENABLED_VALUE - Static variable in enum org.tensorflow.proto.framework.ConfigProto.Experimental.MlirBridgeRollout: Enabling the MLIR bridge enables it for all graphs in this session.
MLIR_BRIDGE_ROLLOUT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto.Experimental
MLIR_BRIDGE_ROLLOUT_SAFE_MODE_ENABLED_VALUE - Static variable in enum org.tensorflow.proto.framework.ConfigProto.Experimental.MlirBridgeRollout: Enable the MLIR bridge on a per graph basis based on an analysis of the features used in the graph.
MLIR_BRIDGE_ROLLOUT_SAFE_MODE_FALLBACK_ENABLED_VALUE - Static variable in enum org.tensorflow.proto.framework.ConfigProto.Experimental.MlirBridgeRollout: Enable the MLIR bridge in a fallback mode on a per graph basis based on an analysis of the features used in the graph.
MLIR_BRIDGE_ROLLOUT_UNSPECIFIED_VALUE - Static variable in enum org.tensorflow.proto.framework.ConfigProto.Experimental.MlirBridgeRollout: If this field is left unspecified, the MLIR bridge may be selectively enabled on a per graph basis.
mlirModule - Variable in class org.tensorflow.op.core.MlirPassthroughOp.Inputs: The mlirModule attribute
MlirPassthroughOp - Class in org.tensorflow.op.core: Wraps an arbitrary MLIR computation expressed as a module with a main() function.
MlirPassthroughOp(Operation) - Constructor for class org.tensorflow.op.core.MlirPassthroughOp
mlirPassthroughOp(Iterable<Operand<?>>, String, List<Class<? extends TType>>) - Method in class org.tensorflow.op.Ops: Wraps an arbitrary MLIR computation expressed as a module with a main() function.
MlirPassthroughOp.Inputs - Class in org.tensorflow.op.core
mMax - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the highest quantized mean.
mMin - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the lowest quantized mean.
Mod<T extends TNumber> - Class in org.tensorflow.op.math: Returns element-wise remainder of division.
Mod(Operation) - Constructor for class org.tensorflow.op.math.Mod
mod(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns element-wise remainder of division.
Mod.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
mode - Variable in class org.tensorflow.op.core.MirrorPad.Inputs: Either `REFLECT` or `SYMMETRIC`.
mode - Variable in class org.tensorflow.op.core.MirrorPadGrad.Inputs: The mode used in the `MirrorPad` op.
mode - Variable in class org.tensorflow.op.nn.FusedPadConv2d.Inputs: The mode attribute
mode - Variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs: The mode attribute
mode - Variable in class org.tensorflow.op.quantization.Dequantize.Inputs: The mode attribute
mode(String) - Static method in class org.tensorflow.op.quantization.Dequantize: Sets the mode option.
mode(String) - Method in class org.tensorflow.op.quantization.Dequantize.Options: Sets the mode option.
mode - Variable in class org.tensorflow.op.quantization.Quantize.Inputs: The mode attribute
mode(String) - Static method in class org.tensorflow.op.quantization.Quantize: Sets the mode option.
mode(String) - Method in class org.tensorflow.op.quantization.Quantize.Options: Sets the mode option.
mode - Variable in class org.tensorflow.op.xla.Dequantize.Inputs: String to determine the dequantize mode in {"MIN_COMBINED", "MIN_FIRST", "SCALED"}.
MODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.BuildConfiguration
MODEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DeviceProperties
MODEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.GPUInfo
MODEL_INPUT_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
ModelDataset - Class in org.tensorflow.op.data: Identity transformation that models performance.
ModelDataset(Operation) - Constructor for class org.tensorflow.op.data.ModelDataset
modelDataset(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, ModelDataset.Options...) - Method in class org.tensorflow.op.DataOps: Identity transformation that models performance.
ModelDataset.Inputs - Class in org.tensorflow.op.data
ModelDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ModelDataset
ModelProto - Class in org.tensorflow.proto.data.model: Protocol buffer representing the data used by the autotuning modeling framework.
ModelProto.Builder - Class in org.tensorflow.proto.data.model: Protocol buffer representing the data used by the autotuning modeling framework.
ModelProto.Node - Class in org.tensorflow.proto.data.model: General representation of a node in the model.
ModelProto.Node.Builder - Class in org.tensorflow.proto.data.model: General representation of a node in the model.
ModelProto.Node.Parameter - Class in org.tensorflow.proto.data.model: Represents a node parameter.
ModelProto.Node.Parameter.Builder - Class in org.tensorflow.proto.data.model: Represents a node parameter.
ModelProto.Node.ParameterOrBuilder - Interface in org.tensorflow.proto.data.model
ModelProto.NodeOrBuilder - Interface in org.tensorflow.proto.data.model
ModelProto.OptimizationParams - Class in org.tensorflow.proto.data.model: Contains parameters of the model autotuning optimization.
ModelProto.OptimizationParams.Builder - Class in org.tensorflow.proto.data.model: Contains parameters of the model autotuning optimization.
ModelProto.OptimizationParamsOrBuilder - Interface in org.tensorflow.proto.data.model
ModelProtoOrBuilder - Interface in org.tensorflow.proto.data.model
ModelProtos - Class in org.tensorflow.proto.data.model
modeOverride - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingIntegerBatch.Inputs: A string input that overrides the mode specified in the TPUEmbeddingConfiguration.
modeOverride - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: A string input that overrides the mode specified in the TPUEmbeddingConfiguration.
modeOverride - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs: A string input that overrides the mode specified in the TPUEmbeddingConfiguration.
modeOverride - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: A string input that overrides the mode specified in the TPUEmbeddingConfiguration.
mom - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs: Value of mom used in the centered RMSProp optimization algorithm.
mom - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Inputs: Value of mom used in the RMSProp optimization algorithm.
mom() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters: Gets mom.
mom() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters: Gets mom.
mom - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: Should be from a Variable().
mom - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: Should be from a Variable().
mom - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: Should be from a Variable().
mom - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: Should be from a Variable().
mom - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: Should be from a Variable().
mom - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: Should be from a Variable().
mom - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: Should be from a Variable().
mom - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: Should be from a Variable().
momenta - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Inputs: Value of momenta used in the Adagrad Momentum optimization algorithm.
momenta - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Inputs: Value of momenta used in the ADAM optimization algorithm.
momenta - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Inputs: Value of momenta used in the Momentum optimization algorithm.
momenta() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters: Gets momenta.
momenta() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters: Gets momenta.
momenta() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters: Gets momenta.
momentum - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: Momentum Scale.
momentum - Variable in class org.tensorflow.op.train.ApplyMomentum.Inputs: Momentum.
momentum - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: The momentum input
momentum - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: Momentum Scale.
momentum - Variable in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Inputs: Momentum.
momentum - Variable in class org.tensorflow.op.train.ResourceApplyMomentum.Inputs: Momentum.
momentum - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: The momentum input
momentum - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: The momentum input
momentum - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: Momentum.
momentum - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: Momentum.
momentum - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: The momentum input
momentum - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: The momentum input
momentum - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: Momentum.
momentum - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: The momentum input
ms - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs: Value of ms used in the centered RMSProp optimization algorithm.
ms - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Inputs: Value of ms used in the RMSProp optimization algorithm.
ms() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters: Gets ms.
ms() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters: Gets ms.
ms - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: Should be from a Variable().
ms - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: Should be from a Variable().
ms - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: Should be from a Variable().
ms - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: Should be from a Variable().
ms - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: Should be from a Variable().
ms - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: Should be from a Variable().
ms - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: Should be from a Variable().
ms - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: Should be from a Variable().
MSG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.SessionLog
MU_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.LogNormalDistribution
MU_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NormalDistribution
Mul<T extends TType> - Class in org.tensorflow.op.math: Returns x * y element-wise.
Mul(Operation) - Constructor for class org.tensorflow.op.math.Mul
mul(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns x * y element-wise.
Mul.Inputs<T extends TType> - Class in org.tensorflow.op.math
MulNoNan<T extends TType> - Class in org.tensorflow.op.math: Returns x * y element-wise.
MulNoNan(Operation) - Constructor for class org.tensorflow.op.math.MulNoNan
mulNoNan(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns x * y element-wise.
MulNoNan.Inputs<T extends TType> - Class in org.tensorflow.op.math
multiDeviceIterator - Variable in class org.tensorflow.op.data.DeleteMultiDeviceIterator.Inputs: A handle to the multi device iterator to delete.
MultiDeviceIterator - Class in org.tensorflow.op.data: Creates a MultiDeviceIterator resource.
MultiDeviceIterator(Operation) - Constructor for class org.tensorflow.op.data.MultiDeviceIterator
multiDeviceIterator() - Method in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle: Gets multiDeviceIterator.
multiDeviceIterator - Variable in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard.Inputs: A MultiDeviceIterator resource.
multiDeviceIterator - Variable in class org.tensorflow.op.data.MultiDeviceIteratorInit.Inputs: A MultiDeviceIteratorResource.
multiDeviceIterator - Variable in class org.tensorflow.op.data.MultiDeviceIteratorToStringHandle.Inputs: A MultiDeviceIterator resource.
MultiDeviceIterator.Inputs - Class in org.tensorflow.op.data
MultiDeviceIteratorFromStringHandle - Class in org.tensorflow.op.data: Generates a MultiDeviceIterator resource from its provided string handle.
MultiDeviceIteratorFromStringHandle(Operation) - Constructor for class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle
MultiDeviceIteratorFromStringHandle.Inputs - Class in org.tensorflow.op.data
MultiDeviceIteratorFromStringHandle.Options - Class in org.tensorflow.op.data: Optional attributes for MultiDeviceIteratorFromStringHandle
MultiDeviceIteratorGetNextFromShard - Class in org.tensorflow.op.data: Gets next element for the provided shard number.
MultiDeviceIteratorGetNextFromShard(Operation) - Constructor for class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard
MultiDeviceIteratorGetNextFromShard.Inputs - Class in org.tensorflow.op.data
MultiDeviceIteratorInit - Class in org.tensorflow.op.data: Initializes the multi device iterator with the given dataset.
MultiDeviceIteratorInit(Operation) - Constructor for class org.tensorflow.op.data.MultiDeviceIteratorInit
MultiDeviceIteratorInit.Inputs - Class in org.tensorflow.op.data
MultiDeviceIteratorToStringHandle - Class in org.tensorflow.op.data: Produces a string handle for the given MultiDeviceIterator.
MultiDeviceIteratorToStringHandle(Operation) - Constructor for class org.tensorflow.op.data.MultiDeviceIteratorToStringHandle
MultiDeviceIteratorToStringHandle.Inputs - Class in org.tensorflow.op.data
Multinomial - Class in org.tensorflow.op.random: Draws samples from a multinomial distribution.
Multinomial(Operation) - Constructor for class org.tensorflow.op.random.Multinomial
multinomial(Operand<? extends TNumber>, Operand<TInt32>, Multinomial.Options[]) - Method in class org.tensorflow.op.RandomOps: Draws samples from a multinomial distribution.
multinomial(Operand<? extends TNumber>, Operand<TInt32>, Class, Multinomial.Options...) - Method in class org.tensorflow.op.RandomOps: Draws samples from a multinomial distribution.
Multinomial.Inputs - Class in org.tensorflow.op.random
Multinomial.Options - Class in org.tensorflow.op.random: Optional attributes for Multinomial
multiples - Variable in class org.tensorflow.op.core.Tile.Inputs: 1-D.
multiples - Variable in class org.tensorflow.op.train.TileGrad.Inputs: The multiples input
multiplyLinearByLr - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: The multiplyLinearByLr attribute
multiplyLinearByLr(Boolean) - Static method in class org.tensorflow.op.train.ApplyFtrl: Sets the multiplyLinearByLr option.
multiplyLinearByLr(Boolean) - Method in class org.tensorflow.op.train.ApplyFtrl.Options: Sets the multiplyLinearByLr option.
multiplyLinearByLr - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: The multiplyLinearByLr attribute
multiplyLinearByLr(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyFtrl: Sets the multiplyLinearByLr option.
multiplyLinearByLr(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyFtrl.Options: Sets the multiplyLinearByLr option.
multiplyLinearByLr - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: The multiplyLinearByLr attribute
multiplyLinearByLr(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyFtrl: Sets the multiplyLinearByLr option.
multiplyLinearByLr(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Options: Sets the multiplyLinearByLr option.
multiplyLinearByLr - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: The multiplyLinearByLr attribute
multiplyLinearByLr(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyFtrl: Sets the multiplyLinearByLr option.
multiplyLinearByLr(Boolean) - Method in class org.tensorflow.op.train.SparseApplyFtrl.Options: Sets the multiplyLinearByLr option.
MutableDenseHashTable - Class in org.tensorflow.op.core: Creates an empty hash table that uses tensors as the backing store.
MutableDenseHashTable(Operation) - Constructor for class org.tensorflow.op.core.MutableDenseHashTable
mutableDenseHashTable(Operand<T>, Operand<T>, Class, MutableDenseHashTable.Options...) - Method in class org.tensorflow.op.Ops: Creates an empty hash table that uses tensors as the backing store.
MutableDenseHashTable.Inputs<T extends TType> - Class in org.tensorflow.op.core
MutableDenseHashTable.Options - Class in org.tensorflow.op.core: Optional attributes for MutableDenseHashTable
MutableHashTable - Class in org.tensorflow.op.core: Creates an empty hash table.
MutableHashTable(Operation) - Constructor for class org.tensorflow.op.core.MutableHashTable
mutableHashTable(Class<T>, Class, MutableHashTable.Options...) - Method in class org.tensorflow.op.Ops: Creates an empty hash table.
MutableHashTable.Inputs - Class in org.tensorflow.op.core
MutableHashTable.Options - Class in org.tensorflow.op.core: Optional attributes for MutableHashTable
MutableHashTableOfTensors - Class in org.tensorflow.op.core: Creates an empty hash table.
MutableHashTableOfTensors(Operation) - Constructor for class org.tensorflow.op.core.MutableHashTableOfTensors
mutableHashTableOfTensors(Class<T>, Class, MutableHashTableOfTensors.Options...) - Method in class org.tensorflow.op.Ops: Creates an empty hash table.
MutableHashTableOfTensors.Inputs - Class in org.tensorflow.op.core
MutableHashTableOfTensors.Options - Class in org.tensorflow.op.core: Optional attributes for MutableHashTableOfTensors
Mutex - Class in org.tensorflow.op.core: Creates a Mutex resource that can be locked by MutexLock.
Mutex(Operation) - Constructor for class org.tensorflow.op.core.Mutex
mutex - Variable in class org.tensorflow.op.core.MutexLock.Inputs: The mutex resource to lock.
mutex(Mutex.Options...) - Method in class org.tensorflow.op.Ops: Creates a Mutex resource that can be locked by MutexLock.
Mutex.Inputs - Class in org.tensorflow.op.core
Mutex.Options - Class in org.tensorflow.op.core: Optional attributes for Mutex
mutexLock - Variable in class org.tensorflow.op.core.ConsumeMutexLock.Inputs: A tensor returned by MutexLock.
MutexLock - Class in org.tensorflow.op.core: Locks a mutex resource.
MutexLock(Operation) - Constructor for class org.tensorflow.op.core.MutexLock
mutexLock() - Method in class org.tensorflow.op.core.MutexLock: Gets mutexLock.
mutexLock(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Locks a mutex resource.
MutexLock.Inputs - Class in org.tensorflow.op.core

N

n - Variable in class org.tensorflow.op.io.QueueDequeueMany.Inputs: The number of tuples to dequeue.
n - Variable in class org.tensorflow.op.io.QueueDequeueUpTo.Inputs: The number of tuples to dequeue.
n - Variable in class org.tensorflow.op.nn.NthElement.Inputs: 0-D.
name() - Method in class org.tensorflow.GraphOperation
name() - Method in class org.tensorflow.internal.c_api.NativeOutput
name() - Method in class org.tensorflow.internal.c_api.Node
name() - Method in class org.tensorflow.internal.c_api.TF_WhileParams
name(BytePointer) - Method in class org.tensorflow.internal.c_api.TF_WhileParams
name() - Method in interface org.tensorflow.Operation: Returns the full name of the Operation.
name() - Method in class org.tensorflow.Output: Returns the full name of this Output (a.k.a.
name - Variable in class org.tensorflow.Signature.TensorDescription: The name of the tensor's operand in the graph
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetMetadata.Metadata
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto.Node
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.distruntime.JobDef
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.distruntime.JobDeviceFilters
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ApiDef.Arg
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ApiDef.Attr
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ApiDef.Endpoint
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.BoundedTensorSpecProto
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CapturedTensor
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CostGraphDef.Node
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DeviceAttributes
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferNodeInfo
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NameAttrList
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NamedDevice
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NamedTensorProto
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NamedTupleValue
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NodeDef
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef.ArgDef
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef.AttrDef
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ResourceHandleProto
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedVariable
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SessionMetadata
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorInfo
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorShapeProto.Dim
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorSpecProto
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XEventMetadata
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XLine
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XPlane
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XStatMetadata
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.SavedSlice
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.SavedSliceMeta
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.BenchmarkEntry
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.MetricEntry
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.TestResults
name_map() - Method in class org.tensorflow.internal.c_api.TF_Graph
name_map(NameMap) - Method in class org.tensorflow.internal.c_api.TF_Graph
NameAttrList - Class in org.tensorflow.proto.framework: A list of attr names and their values.
NameAttrList.Builder - Class in org.tensorflow.proto.framework: A list of attr names and their values.
NameAttrListOrBuilder - Interface in org.tensorflow.proto.framework
NAMED_TUPLE_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.StructuredValue
NamedDevice - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.NamedDevice
NamedDevice.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.NamedDevice
NamedDeviceOrBuilder - Interface in org.tensorflow.proto.framework
NamedTensorProto - Class in org.tensorflow.proto.framework: A pair of tensor name and tensor values.
NamedTensorProto.Builder - Class in org.tensorflow.proto.framework: A pair of tensor name and tensor values.
NamedTensorProtoOrBuilder - Interface in org.tensorflow.proto.framework
NamedTensorProtos - Class in org.tensorflow.proto.framework
NamedTupleValue - Class in org.tensorflow.proto.framework: Represents Python's namedtuple.
NamedTupleValue.Builder - Class in org.tensorflow.proto.framework: Represents Python's namedtuple.
NamedTupleValueOrBuilder - Interface in org.tensorflow.proto.framework
NameMap - Class in org.tensorflow.internal.c_api
NameMap(Pointer) - Constructor for class org.tensorflow.internal.c_api.NameMap: Pointer cast constructor.
NameMap() - Constructor for class org.tensorflow.internal.c_api.NameMap
NameMap.Iterator - Class in org.tensorflow.internal.c_api
names - Variable in class org.tensorflow.op.io.ParseExample.Inputs: A tensor containing the names of the serialized protos.
narrowRange - Variable in class org.tensorflow.op.quantization.Dequantize.Inputs: The narrowRange attribute
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.Dequantize: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.Dequantize.Options: Sets the narrowRange option.
narrowRange - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Inputs: The narrowRange attribute
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Options: Sets the narrowRange option.
narrowRange - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Inputs: The narrowRange attribute
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Options: Sets the narrowRange option.
narrowRange - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars.Inputs: The narrowRange attribute
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars.Options: Sets the narrowRange option.
narrowRange - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Inputs: Whether to quantize into 2^num_bits - 1 distinct values.
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Options: Sets the narrowRange option.
narrowRange - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel.Inputs: The narrowRange attribute
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel.Options: Sets the narrowRange option.
narrowRange - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Inputs: Whether to quantize into 2^num_bits - 1 distinct values.
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Options: Sets the narrowRange option.
narrowRange - Variable in class org.tensorflow.op.quantization.Quantize.Inputs: The narrowRange attribute
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.Quantize: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.Quantize.Options: Sets the narrowRange option.
narrowRange - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs: The narrowRange attribute
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantize: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantize.Options: Sets the narrowRange option.
narrowRange - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs: The narrowRange attribute
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Options: Sets the narrowRange option.
narrowRange - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: If True, then the absolute value of the quantized minimum value is the same as the quantized maximum value, instead of 1 greater.
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Options: Sets the narrowRange option.
NativeGraphPointer - Class in org.tensorflow.internal.c_api
NativeGraphPointer() - Constructor for class org.tensorflow.internal.c_api.NativeGraphPointer: Empty constructor.
NativeGraphPointer(Pointer) - Constructor for class org.tensorflow.internal.c_api.NativeGraphPointer: Pointer cast constructor.
nativeHandle(RawTensor) - Static method in class org.tensorflow.TensorMapper: Helper for retrieving the native handle of a raw tensor
NativeOperation - Class in org.tensorflow.internal.c_api: \addtogroup core \{
NativeOperation(Pointer) - Constructor for class org.tensorflow.internal.c_api.NativeOperation: Pointer cast constructor.
NativeOperation(long) - Constructor for class org.tensorflow.internal.c_api.NativeOperation: Native array allocator.
NativeOperation() - Constructor for class org.tensorflow.internal.c_api.NativeOperation
NativeOperation(Node) - Constructor for class org.tensorflow.internal.c_api.NativeOperation
NativeOutput - Class in org.tensorflow.internal.c_api: Represents a tensor value produced by an Operation.
NativeOutput(Pointer) - Constructor for class org.tensorflow.internal.c_api.NativeOutput: Pointer cast constructor.
NativeOutput(long) - Constructor for class org.tensorflow.internal.c_api.NativeOutput: Native array allocator.
NativeOutput() - Constructor for class org.tensorflow.internal.c_api.NativeOutput
NativeOutput(Node) - Constructor for class org.tensorflow.internal.c_api.NativeOutput
NativeOutput(Node, int) - Constructor for class org.tensorflow.internal.c_api.NativeOutput
NativeOutput(NativeOperation, int) - Constructor for class org.tensorflow.internal.c_api.NativeOutput
NativeOutputVector - Class in org.tensorflow.internal.c_api
NativeOutputVector(Pointer) - Constructor for class org.tensorflow.internal.c_api.NativeOutputVector: Pointer cast constructor.
NativeOutputVector(NativeOutput) - Constructor for class org.tensorflow.internal.c_api.NativeOutputVector
NativeOutputVector(NativeOutput...) - Constructor for class org.tensorflow.internal.c_api.NativeOutputVector
NativeOutputVector() - Constructor for class org.tensorflow.internal.c_api.NativeOutputVector
NativeOutputVector(long) - Constructor for class org.tensorflow.internal.c_api.NativeOutputVector
NativeOutputVector.Iterator - Class in org.tensorflow.internal.c_api
NativeStatus - Class in org.tensorflow.internal.c_api: \ingroup core Denotes success or failure of a call in Tensorflow.
NativeStatus(Pointer) - Constructor for class org.tensorflow.internal.c_api.NativeStatus: Pointer cast constructor.
naValue - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The naValue input
naValue - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The naValue input
naValue - Variable in class org.tensorflow.op.io.DecodeCsv.Inputs: Additional string to recognize as NA/NaN.
naValue(String) - Static method in class org.tensorflow.op.io.DecodeCsv: Sets the naValue option.
naValue(String) - Method in class org.tensorflow.op.io.DecodeCsv.Options: Sets the naValue option.
nbins - Variable in class org.tensorflow.op.core.HistogramFixedWidth.Inputs: Scalar int32 Tensor.
NcclAllReduce<T extends TNumber> - Class in org.tensorflow.op.core: Deprecated.
use NcclAllReduce instead
NcclAllReduce(Operation) - Constructor for class org.tensorflow.op.core.NcclAllReduce: Deprecated.
NcclAllReduce<T extends TNumber> - Class in org.tensorflow.op.distribute: Outputs a tensor containing the reduction across all input tensors.
NcclAllReduce(Operation) - Constructor for class org.tensorflow.op.distribute.NcclAllReduce
NcclAllReduce.Inputs<T extends TNumber> - Class in org.tensorflow.op.core: Deprecated.
NcclAllReduce.Inputs<T extends TNumber> - Class in org.tensorflow.op.distribute
NcclBroadcast<T extends TNumber> - Class in org.tensorflow.op.core: Deprecated.
use NcclBroadcast instead
NcclBroadcast(Operation) - Constructor for class org.tensorflow.op.core.NcclBroadcast: Deprecated.
NcclBroadcast<T extends TNumber> - Class in org.tensorflow.op.distribute: Sends input to all devices that are connected to the output.
NcclBroadcast(Operation) - Constructor for class org.tensorflow.op.distribute.NcclBroadcast
NcclBroadcast.Inputs<T extends TNumber> - Class in org.tensorflow.op.core: Deprecated.
NcclBroadcast.Inputs<T extends TNumber> - Class in org.tensorflow.op.distribute
NcclReduce<T extends TNumber> - Class in org.tensorflow.op.core: Deprecated.
use NcclReduce instead
NcclReduce(Operation) - Constructor for class org.tensorflow.op.core.NcclReduce: Deprecated.
NcclReduce<T extends TNumber> - Class in org.tensorflow.op.distribute: Reduces input from num_devices using reduction to a single device.
NcclReduce(Operation) - Constructor for class org.tensorflow.op.distribute.NcclReduce
NcclReduce.Inputs<T extends TNumber> - Class in org.tensorflow.op.core: Deprecated.
NcclReduce.Inputs<T extends TNumber> - Class in org.tensorflow.op.distribute
NCHW_TO_NHWC_VALUE - Static variable in enum org.tensorflow.proto.framework.RewriterConfig.CpuLayout: NCHW_TO_NHWC = 1;
NcontextDense(Long) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample: Sets the NcontextDense option.
NcontextDense(Long) - Method in class org.tensorflow.op.io.ParseSingleSequenceExample.Options: Sets the NcontextDense option.
NcontextSparse(Long) - Static method in class org.tensorflow.op.io.ParseSequenceExample: Sets the NcontextSparse option.
NcontextSparse(Long) - Method in class org.tensorflow.op.io.ParseSequenceExample.Options: Sets the NcontextSparse option.
NcontextSparse(Long) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample: Sets the NcontextSparse option.
NcontextSparse(Long) - Method in class org.tensorflow.op.io.ParseSingleSequenceExample.Options: Sets the NcontextSparse option.
Ndtri<T extends TNumber> - Class in org.tensorflow.op.math: The Ndtri operation
Ndtri(Operation) - Constructor for class org.tensorflow.op.math.Ndtri
ndtri(Operand<T>) - Method in class org.tensorflow.op.MathOps: The Ndtri operation
Ndtri.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
nearestCenterDistances() - Method in class org.tensorflow.op.image.NearestNeighbors: Gets nearestCenterDistances.
nearestCenterIndices() - Method in class org.tensorflow.op.image.NearestNeighbors: Gets nearestCenterIndices.
NearestNeighbors - Class in org.tensorflow.op.image: Selects the k nearest centers for each point.
NearestNeighbors(Operation) - Constructor for class org.tensorflow.op.image.NearestNeighbors
NearestNeighbors.Inputs - Class in org.tensorflow.op.image
Neg<T extends TType> - Class in org.tensorflow.op.math: Computes numerical negative value element-wise.
Neg(Operation) - Constructor for class org.tensorflow.op.math.Neg
neg(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes numerical negative value element-wise.
Neg.Inputs<T extends TType> - Class in org.tensorflow.op.math
NegTrain - Class in org.tensorflow.op.train: Training via negative sampling.
NegTrain(Operation) - Constructor for class org.tensorflow.op.train.NegTrain
negTrain(Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Operand<TInt32>, Operand<TFloat32>, List<Long>, Long) - Method in class org.tensorflow.op.TrainOps: Training via negative sampling.
NegTrain.Inputs - Class in org.tensorflow.op.train
NESTED_CONTEXTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CondContextDef
NESTED_CONTEXTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.WhileContextDef
newAxisMask - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The newAxisMask attribute
newAxisMask(Long) - Static method in class org.tensorflow.op.core.ResourceStridedSliceAssign: Sets the newAxisMask option.
newAxisMask(Long) - Method in class org.tensorflow.op.core.ResourceStridedSliceAssign.Options: Sets the newAxisMask option.
newAxisMask - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: a bitmask where bit `i` being 1 means the `i`th specification creates a new shape 1 dimension.
newAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSlice: Sets the newAxisMask option.
newAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSlice.Options: Sets the newAxisMask option.
newAxisMask - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The newAxisMask attribute
newAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceAssign: Sets the newAxisMask option.
newAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSliceAssign.Options: Sets the newAxisMask option.
newAxisMask - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The newAxisMask attribute
newAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceGrad: Sets the newAxisMask option.
newAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSliceGrad.Options: Sets the newAxisMask option.
newAxisMask - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The newAxisMask attribute
newAxisMask(Long) - Static method in class org.tensorflow.op.core.TensorStridedSliceUpdate: Sets the newAxisMask option.
newAxisMask(Long) - Method in class org.tensorflow.op.core.TensorStridedSliceUpdate.Options: Sets the newAxisMask option.
newBuffer() - Static method in class org.tensorflow.internal.c_api.AbstractTF_Buffer: Calls TF_NewBuffer(), and registers a deallocator.
newBufferFromString(Message) - Static method in class org.tensorflow.internal.c_api.AbstractTF_Buffer: Returns {@code newBufferFromString(new BytePointer(proto.toByteArray())), or null if proto is null or empty.
newBufferFromString(Pointer) - Static method in class org.tensorflow.internal.c_api.AbstractTF_Buffer: Calls TF_NewBufferFromString(), and registers a deallocator.
newBuilder() - Static method in class org.tensorflow.DeviceSpec
newBuilder() - Static method in class org.tensorflow.proto.data.AutotuneOptions
newBuilder(AutotuneOptions) - Static method in class org.tensorflow.proto.data.AutotuneOptions
newBuilder() - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
newBuilder(DataService.ProcessingModeDef) - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
newBuilder() - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
newBuilder(DatasetMetadata.Metadata) - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
newBuilder() - Static method in class org.tensorflow.proto.data.DistributeOptions
newBuilder(DistributeOptions) - Static method in class org.tensorflow.proto.data.DistributeOptions
newBuilder() - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
newBuilder(ServiceConfig.DispatcherConfig) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
newBuilder() - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
newBuilder(ServiceConfig.WorkerConfig) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
newBuilder() - Static method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
newBuilder(SnapshotMetadataRecord) - Static method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
newBuilder() - Static method in class org.tensorflow.proto.data.experimental.SnapshotRecord
newBuilder(SnapshotRecord) - Static method in class org.tensorflow.proto.data.experimental.SnapshotRecord
newBuilder() - Static method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
newBuilder(SnapshotTensorMetadata) - Static method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
newBuilder() - Static method in class org.tensorflow.proto.data.experimental.TensorMetadata
newBuilder(TensorMetadata) - Static method in class org.tensorflow.proto.data.experimental.TensorMetadata
newBuilder() - Static method in class org.tensorflow.proto.data.model.ModelProto
newBuilder(ModelProto) - Static method in class org.tensorflow.proto.data.model.ModelProto
newBuilder() - Static method in class org.tensorflow.proto.data.model.ModelProto.Node
newBuilder(ModelProto.Node) - Static method in class org.tensorflow.proto.data.model.ModelProto.Node
newBuilder() - Static method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
newBuilder(ModelProto.Node.Parameter) - Static method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
newBuilder() - Static method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
newBuilder(ModelProto.OptimizationParams) - Static method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
newBuilder() - Static method in class org.tensorflow.proto.data.OptimizationOptions
newBuilder(OptimizationOptions) - Static method in class org.tensorflow.proto.data.OptimizationOptions
newBuilder() - Static method in class org.tensorflow.proto.data.Options
newBuilder(Options) - Static method in class org.tensorflow.proto.data.Options
newBuilder() - Static method in class org.tensorflow.proto.data.ThreadingOptions
newBuilder(ThreadingOptions) - Static method in class org.tensorflow.proto.data.ThreadingOptions
newBuilder() - Static method in class org.tensorflow.proto.distruntime.ClusterDef
newBuilder(ClusterDef) - Static method in class org.tensorflow.proto.distruntime.ClusterDef
newBuilder() - Static method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
newBuilder(ClusterDeviceFilters) - Static method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
newBuilder() - Static method in class org.tensorflow.proto.distruntime.JobDef
newBuilder(JobDef) - Static method in class org.tensorflow.proto.distruntime.JobDef
newBuilder() - Static method in class org.tensorflow.proto.distruntime.JobDeviceFilters
newBuilder(JobDeviceFilters) - Static method in class org.tensorflow.proto.distruntime.JobDeviceFilters
newBuilder() - Static method in class org.tensorflow.proto.distruntime.ServerDef
newBuilder(ServerDef) - Static method in class org.tensorflow.proto.distruntime.ServerDef
newBuilder() - Static method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
newBuilder(TaskDeviceFilters) - Static method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
newBuilder() - Static method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
newBuilder(TransportOptions.RecvBufRespExtra) - Static method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
newBuilder() - Static method in class org.tensorflow.proto.example.BytesList
newBuilder(BytesList) - Static method in class org.tensorflow.proto.example.BytesList
newBuilder() - Static method in class org.tensorflow.proto.example.Example
newBuilder(Example) - Static method in class org.tensorflow.proto.example.Example
newBuilder() - Static method in class org.tensorflow.proto.example.ExampleParserConfiguration
newBuilder(ExampleParserConfiguration) - Static method in class org.tensorflow.proto.example.ExampleParserConfiguration
newBuilder() - Static method in class org.tensorflow.proto.example.Feature
newBuilder(Feature) - Static method in class org.tensorflow.proto.example.Feature
newBuilder() - Static method in class org.tensorflow.proto.example.FeatureConfiguration
newBuilder(FeatureConfiguration) - Static method in class org.tensorflow.proto.example.FeatureConfiguration
newBuilder() - Static method in class org.tensorflow.proto.example.FeatureList
newBuilder(FeatureList) - Static method in class org.tensorflow.proto.example.FeatureList
newBuilder() - Static method in class org.tensorflow.proto.example.FeatureLists
newBuilder(FeatureLists) - Static method in class org.tensorflow.proto.example.FeatureLists
newBuilder() - Static method in class org.tensorflow.proto.example.Features
newBuilder(Features) - Static method in class org.tensorflow.proto.example.Features
newBuilder() - Static method in class org.tensorflow.proto.example.FixedLenFeatureProto
newBuilder(FixedLenFeatureProto) - Static method in class org.tensorflow.proto.example.FixedLenFeatureProto
newBuilder() - Static method in class org.tensorflow.proto.example.FloatList
newBuilder(FloatList) - Static method in class org.tensorflow.proto.example.FloatList
newBuilder() - Static method in class org.tensorflow.proto.example.Int64List
newBuilder(Int64List) - Static method in class org.tensorflow.proto.example.Int64List
newBuilder() - Static method in class org.tensorflow.proto.example.SequenceExample
newBuilder(SequenceExample) - Static method in class org.tensorflow.proto.example.SequenceExample
newBuilder() - Static method in class org.tensorflow.proto.example.VarLenFeatureProto
newBuilder(VarLenFeatureProto) - Static method in class org.tensorflow.proto.example.VarLenFeatureProto
newBuilder() - Static method in class org.tensorflow.proto.framework.AllocationDescription
newBuilder(AllocationDescription) - Static method in class org.tensorflow.proto.framework.AllocationDescription
newBuilder() - Static method in class org.tensorflow.proto.framework.AllocationRecord
newBuilder(AllocationRecord) - Static method in class org.tensorflow.proto.framework.AllocationRecord
newBuilder() - Static method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
newBuilder(AllocatorMemoryUsed) - Static method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
newBuilder() - Static method in class org.tensorflow.proto.framework.ApiDef.Arg
newBuilder(ApiDef.Arg) - Static method in class org.tensorflow.proto.framework.ApiDef.Arg
newBuilder() - Static method in class org.tensorflow.proto.framework.ApiDef.Attr
newBuilder(ApiDef.Attr) - Static method in class org.tensorflow.proto.framework.ApiDef.Attr
newBuilder() - Static method in class org.tensorflow.proto.framework.ApiDef.Endpoint
newBuilder(ApiDef.Endpoint) - Static method in class org.tensorflow.proto.framework.ApiDef.Endpoint
newBuilder() - Static method in class org.tensorflow.proto.framework.ApiDef
newBuilder(ApiDef) - Static method in class org.tensorflow.proto.framework.ApiDef
newBuilder() - Static method in class org.tensorflow.proto.framework.ApiDefs
newBuilder(ApiDefs) - Static method in class org.tensorflow.proto.framework.ApiDefs
newBuilder() - Static method in class org.tensorflow.proto.framework.AssetFileDef
newBuilder(AssetFileDef) - Static method in class org.tensorflow.proto.framework.AssetFileDef
newBuilder() - Static method in class org.tensorflow.proto.framework.AttrValue.ListValue
newBuilder(AttrValue.ListValue) - Static method in class org.tensorflow.proto.framework.AttrValue.ListValue
newBuilder() - Static method in class org.tensorflow.proto.framework.AttrValue
newBuilder(AttrValue) - Static method in class org.tensorflow.proto.framework.AttrValue
newBuilder() - Static method in class org.tensorflow.proto.framework.AutoParallelOptions
newBuilder(AutoParallelOptions) - Static method in class org.tensorflow.proto.framework.AutoParallelOptions
newBuilder() - Static method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
newBuilder(BoundedTensorSpecProto) - Static method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
newBuilder() - Static method in class org.tensorflow.proto.framework.CallableOptions
newBuilder(CallableOptions) - Static method in class org.tensorflow.proto.framework.CallableOptions
newBuilder() - Static method in class org.tensorflow.proto.framework.CapturedTensor
newBuilder(CapturedTensor) - Static method in class org.tensorflow.proto.framework.CapturedTensor
newBuilder() - Static method in class org.tensorflow.proto.framework.CollectionDef.AnyList
newBuilder(CollectionDef.AnyList) - Static method in class org.tensorflow.proto.framework.CollectionDef.AnyList
newBuilder() - Static method in class org.tensorflow.proto.framework.CollectionDef.BytesList
newBuilder(CollectionDef.BytesList) - Static method in class org.tensorflow.proto.framework.CollectionDef.BytesList
newBuilder() - Static method in class org.tensorflow.proto.framework.CollectionDef.FloatList
newBuilder(CollectionDef.FloatList) - Static method in class org.tensorflow.proto.framework.CollectionDef.FloatList
newBuilder() - Static method in class org.tensorflow.proto.framework.CollectionDef.Int64List
newBuilder(CollectionDef.Int64List) - Static method in class org.tensorflow.proto.framework.CollectionDef.Int64List
newBuilder() - Static method in class org.tensorflow.proto.framework.CollectionDef
newBuilder(CollectionDef) - Static method in class org.tensorflow.proto.framework.CollectionDef
newBuilder() - Static method in class org.tensorflow.proto.framework.CollectionDef.NodeList
newBuilder(CollectionDef.NodeList) - Static method in class org.tensorflow.proto.framework.CollectionDef.NodeList
newBuilder() - Static method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
newBuilder(CompositeTensorVariant.CompositeTensorVariantMetadata) - Static method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
newBuilder() - Static method in class org.tensorflow.proto.framework.CondContextDef
newBuilder(CondContextDef) - Static method in class org.tensorflow.proto.framework.CondContextDef
newBuilder() - Static method in class org.tensorflow.proto.framework.ConfigProto.Experimental
newBuilder(ConfigProto.Experimental) - Static method in class org.tensorflow.proto.framework.ConfigProto.Experimental
newBuilder() - Static method in class org.tensorflow.proto.framework.ConfigProto
newBuilder(ConfigProto) - Static method in class org.tensorflow.proto.framework.ConfigProto
newBuilder() - Static method in class org.tensorflow.proto.framework.ControlFlowContextDef
newBuilder(ControlFlowContextDef) - Static method in class org.tensorflow.proto.framework.ControlFlowContextDef
newBuilder() - Static method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
newBuilder(CostGraphDef.AggregatedCost) - Static method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
newBuilder() - Static method in class org.tensorflow.proto.framework.CostGraphDef
newBuilder(CostGraphDef) - Static method in class org.tensorflow.proto.framework.CostGraphDef
newBuilder() - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
newBuilder(CostGraphDef.Node.InputInfo) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
newBuilder() - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node
newBuilder(CostGraphDef.Node) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node
newBuilder() - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
newBuilder(CostGraphDef.Node.OutputInfo) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
newBuilder() - Static method in class org.tensorflow.proto.framework.DebuggedSourceFile
newBuilder(DebuggedSourceFile) - Static method in class org.tensorflow.proto.framework.DebuggedSourceFile
newBuilder() - Static method in class org.tensorflow.proto.framework.DebuggedSourceFiles
newBuilder(DebuggedSourceFiles) - Static method in class org.tensorflow.proto.framework.DebuggedSourceFiles
newBuilder() - Static method in class org.tensorflow.proto.framework.DebugOptions
newBuilder(DebugOptions) - Static method in class org.tensorflow.proto.framework.DebugOptions
newBuilder() - Static method in class org.tensorflow.proto.framework.DebugTensorWatch
newBuilder(DebugTensorWatch) - Static method in class org.tensorflow.proto.framework.DebugTensorWatch
newBuilder() - Static method in class org.tensorflow.proto.framework.DeviceAttributes
newBuilder(DeviceAttributes) - Static method in class org.tensorflow.proto.framework.DeviceAttributes
newBuilder() - Static method in class org.tensorflow.proto.framework.DeviceLocality
newBuilder(DeviceLocality) - Static method in class org.tensorflow.proto.framework.DeviceLocality
newBuilder() - Static method in class org.tensorflow.proto.framework.DeviceProperties
newBuilder(DeviceProperties) - Static method in class org.tensorflow.proto.framework.DeviceProperties
newBuilder() - Static method in class org.tensorflow.proto.framework.DeviceStepStats
newBuilder(DeviceStepStats) - Static method in class org.tensorflow.proto.framework.DeviceStepStats
newBuilder() - Static method in class org.tensorflow.proto.framework.DictValue
newBuilder(DictValue) - Static method in class org.tensorflow.proto.framework.DictValue
newBuilder() - Static method in class org.tensorflow.proto.framework.FullTypeDef
newBuilder(FullTypeDef) - Static method in class org.tensorflow.proto.framework.FullTypeDef
newBuilder() - Static method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
newBuilder(FunctionDef.ArgAttrs) - Static method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
newBuilder() - Static method in class org.tensorflow.proto.framework.FunctionDef
newBuilder(FunctionDef) - Static method in class org.tensorflow.proto.framework.FunctionDef
newBuilder() - Static method in class org.tensorflow.proto.framework.FunctionDefLibrary
newBuilder(FunctionDefLibrary) - Static method in class org.tensorflow.proto.framework.FunctionDefLibrary
newBuilder() - Static method in class org.tensorflow.proto.framework.FunctionSpec
newBuilder(FunctionSpec) - Static method in class org.tensorflow.proto.framework.FunctionSpec
newBuilder() - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental
newBuilder(GPUOptions.Experimental) - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental
newBuilder() - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
newBuilder(GPUOptions.Experimental.VirtualDevices) - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
newBuilder() - Static method in class org.tensorflow.proto.framework.GPUOptions
newBuilder(GPUOptions) - Static method in class org.tensorflow.proto.framework.GPUOptions
newBuilder() - Static method in class org.tensorflow.proto.framework.GradientDef
newBuilder(GradientDef) - Static method in class org.tensorflow.proto.framework.GradientDef
newBuilder() - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
newBuilder(GraphDebugInfo.FileLineCol) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
newBuilder() - Static method in class org.tensorflow.proto.framework.GraphDebugInfo
newBuilder(GraphDebugInfo) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo
newBuilder() - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
newBuilder(GraphDebugInfo.StackTrace) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
newBuilder() - Static method in class org.tensorflow.proto.framework.GraphDef
newBuilder(GraphDef) - Static method in class org.tensorflow.proto.framework.GraphDef
newBuilder() - Static method in class org.tensorflow.proto.framework.GraphOptions
newBuilder(GraphOptions) - Static method in class org.tensorflow.proto.framework.GraphOptions
newBuilder() - Static method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
newBuilder(GraphTransferConstNodeInfo) - Static method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
newBuilder() - Static method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
newBuilder(GraphTransferGraphInputNodeInfo) - Static method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
newBuilder() - Static method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
newBuilder(GraphTransferGraphOutputNodeInfo) - Static method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
newBuilder() - Static method in class org.tensorflow.proto.framework.GraphTransferInfo
newBuilder(GraphTransferInfo) - Static method in class org.tensorflow.proto.framework.GraphTransferInfo
newBuilder() - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
newBuilder(GraphTransferNodeInfo) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
newBuilder() - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInput
newBuilder(GraphTransferNodeInput) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInput
newBuilder() - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
newBuilder(GraphTransferNodeInputInfo) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
newBuilder() - Static method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
newBuilder(GraphTransferNodeOutputInfo) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
newBuilder() - Static method in class org.tensorflow.proto.framework.HistogramProto
newBuilder(HistogramProto) - Static method in class org.tensorflow.proto.framework.HistogramProto
newBuilder() - Static method in class org.tensorflow.proto.framework.InterconnectLink
newBuilder(InterconnectLink) - Static method in class org.tensorflow.proto.framework.InterconnectLink
newBuilder() - Static method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
newBuilder(KernelDef.AttrConstraint) - Static method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
newBuilder() - Static method in class org.tensorflow.proto.framework.KernelDef
newBuilder(KernelDef) - Static method in class org.tensorflow.proto.framework.KernelDef
newBuilder() - Static method in class org.tensorflow.proto.framework.KernelList
newBuilder(KernelList) - Static method in class org.tensorflow.proto.framework.KernelList
newBuilder() - Static method in class org.tensorflow.proto.framework.ListValue
newBuilder(ListValue) - Static method in class org.tensorflow.proto.framework.ListValue
newBuilder() - Static method in class org.tensorflow.proto.framework.LocalLinks
newBuilder(LocalLinks) - Static method in class org.tensorflow.proto.framework.LocalLinks
newBuilder() - Static method in class org.tensorflow.proto.framework.LogNormalDistribution
newBuilder(LogNormalDistribution) - Static method in class org.tensorflow.proto.framework.LogNormalDistribution
newBuilder() - Static method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
newBuilder(MemoryLogRawAllocation) - Static method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
newBuilder() - Static method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
newBuilder(MemoryLogRawDeallocation) - Static method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
newBuilder() - Static method in class org.tensorflow.proto.framework.MemoryLogStep
newBuilder(MemoryLogStep) - Static method in class org.tensorflow.proto.framework.MemoryLogStep
newBuilder() - Static method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
newBuilder(MemoryLogTensorAllocation) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
newBuilder() - Static method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
newBuilder(MemoryLogTensorDeallocation) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
newBuilder() - Static method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
newBuilder(MemoryLogTensorOutput) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
newBuilder() - Static method in class org.tensorflow.proto.framework.MemoryStats
newBuilder(MemoryStats) - Static method in class org.tensorflow.proto.framework.MemoryStats
newBuilder() - Static method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
newBuilder(MetaGraphDef.MetaInfoDef) - Static method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
newBuilder() - Static method in class org.tensorflow.proto.framework.MetaGraphDef
newBuilder(MetaGraphDef) - Static method in class org.tensorflow.proto.framework.MetaGraphDef
newBuilder() - Static method in class org.tensorflow.proto.framework.NameAttrList
newBuilder(NameAttrList) - Static method in class org.tensorflow.proto.framework.NameAttrList
newBuilder() - Static method in class org.tensorflow.proto.framework.NamedDevice
newBuilder(NamedDevice) - Static method in class org.tensorflow.proto.framework.NamedDevice
newBuilder() - Static method in class org.tensorflow.proto.framework.NamedTensorProto
newBuilder(NamedTensorProto) - Static method in class org.tensorflow.proto.framework.NamedTensorProto
newBuilder() - Static method in class org.tensorflow.proto.framework.NamedTupleValue
newBuilder(NamedTupleValue) - Static method in class org.tensorflow.proto.framework.NamedTupleValue
newBuilder() - Static method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
newBuilder(NodeDef.ExperimentalDebugInfo) - Static method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
newBuilder() - Static method in class org.tensorflow.proto.framework.NodeDef
newBuilder(NodeDef) - Static method in class org.tensorflow.proto.framework.NodeDef
newBuilder() - Static method in class org.tensorflow.proto.framework.NodeExecStats
newBuilder(NodeExecStats) - Static method in class org.tensorflow.proto.framework.NodeExecStats
newBuilder() - Static method in class org.tensorflow.proto.framework.NodeOutput
newBuilder(NodeOutput) - Static method in class org.tensorflow.proto.framework.NodeOutput
newBuilder() - Static method in class org.tensorflow.proto.framework.NoneValue
newBuilder(NoneValue) - Static method in class org.tensorflow.proto.framework.NoneValue
newBuilder() - Static method in class org.tensorflow.proto.framework.NormalDistribution
newBuilder(NormalDistribution) - Static method in class org.tensorflow.proto.framework.NormalDistribution
newBuilder() - Static method in class org.tensorflow.proto.framework.OpDef.ArgDef
newBuilder(OpDef.ArgDef) - Static method in class org.tensorflow.proto.framework.OpDef.ArgDef
newBuilder() - Static method in class org.tensorflow.proto.framework.OpDef.AttrDef
newBuilder(OpDef.AttrDef) - Static method in class org.tensorflow.proto.framework.OpDef.AttrDef
newBuilder() - Static method in class org.tensorflow.proto.framework.OpDef
newBuilder(OpDef) - Static method in class org.tensorflow.proto.framework.OpDef
newBuilder() - Static method in class org.tensorflow.proto.framework.OpDeprecation
newBuilder(OpDeprecation) - Static method in class org.tensorflow.proto.framework.OpDeprecation
newBuilder() - Static method in class org.tensorflow.proto.framework.OpInfo
newBuilder(OpInfo) - Static method in class org.tensorflow.proto.framework.OpInfo
newBuilder() - Static method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
newBuilder(OpInfo.TensorProperties) - Static method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
newBuilder() - Static method in class org.tensorflow.proto.framework.OpList
newBuilder(OpList) - Static method in class org.tensorflow.proto.framework.OpList
newBuilder() - Static method in class org.tensorflow.proto.framework.OpPerformance
newBuilder(OpPerformance) - Static method in class org.tensorflow.proto.framework.OpPerformance
newBuilder() - Static method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
newBuilder(OpPerformance.OpMemory) - Static method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
newBuilder() - Static method in class org.tensorflow.proto.framework.OpPerformanceList
newBuilder(OpPerformanceList) - Static method in class org.tensorflow.proto.framework.OpPerformanceList
newBuilder() - Static method in class org.tensorflow.proto.framework.OptimizerOptions
newBuilder(OptimizerOptions) - Static method in class org.tensorflow.proto.framework.OptimizerOptions
newBuilder() - Static method in class org.tensorflow.proto.framework.PairValue
newBuilder(PairValue) - Static method in class org.tensorflow.proto.framework.PairValue
newBuilder() - Static method in class org.tensorflow.proto.framework.QueueRunnerDef
newBuilder(QueueRunnerDef) - Static method in class org.tensorflow.proto.framework.QueueRunnerDef
newBuilder() - Static method in class org.tensorflow.proto.framework.ReaderBaseState
newBuilder(ReaderBaseState) - Static method in class org.tensorflow.proto.framework.ReaderBaseState
newBuilder() - Static method in class org.tensorflow.proto.framework.RegisteredGradient
newBuilder(RegisteredGradient) - Static method in class org.tensorflow.proto.framework.RegisteredGradient
newBuilder() - Static method in class org.tensorflow.proto.framework.RemoteTensorHandle
newBuilder(RemoteTensorHandle) - Static method in class org.tensorflow.proto.framework.RemoteTensorHandle
newBuilder() - Static method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
newBuilder(ResourceDtypeAndShape) - Static method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
newBuilder() - Static method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
newBuilder(ResourceHandleProto.DtypeAndShape) - Static method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
newBuilder() - Static method in class org.tensorflow.proto.framework.ResourceHandleProto
newBuilder(ResourceHandleProto) - Static method in class org.tensorflow.proto.framework.ResourceHandleProto
newBuilder() - Static method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
newBuilder(RewriterConfig.CustomGraphOptimizer) - Static method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
newBuilder() - Static method in class org.tensorflow.proto.framework.RewriterConfig
newBuilder(RewriterConfig) - Static method in class org.tensorflow.proto.framework.RewriterConfig
newBuilder() - Static method in class org.tensorflow.proto.framework.RPCOptions
newBuilder(RPCOptions) - Static method in class org.tensorflow.proto.framework.RPCOptions
newBuilder() - Static method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
newBuilder(RunMetadata.FunctionGraphs) - Static method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
newBuilder() - Static method in class org.tensorflow.proto.framework.RunMetadata
newBuilder(RunMetadata) - Static method in class org.tensorflow.proto.framework.RunMetadata
newBuilder() - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental
newBuilder(RunOptions.Experimental) - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental
newBuilder() - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
newBuilder(RunOptions.Experimental.RunHandlerPoolOptions) - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
newBuilder() - Static method in class org.tensorflow.proto.framework.RunOptions
newBuilder(RunOptions) - Static method in class org.tensorflow.proto.framework.RunOptions
newBuilder() - Static method in class org.tensorflow.proto.framework.SaveableObject
newBuilder(SaveableObject) - Static method in class org.tensorflow.proto.framework.SaveableObject
newBuilder() - Static method in class org.tensorflow.proto.framework.SavedAsset
newBuilder(SavedAsset) - Static method in class org.tensorflow.proto.framework.SavedAsset
newBuilder() - Static method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
newBuilder(SavedBareConcreteFunction) - Static method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
newBuilder() - Static method in class org.tensorflow.proto.framework.SavedConcreteFunction
newBuilder(SavedConcreteFunction) - Static method in class org.tensorflow.proto.framework.SavedConcreteFunction
newBuilder() - Static method in class org.tensorflow.proto.framework.SavedConstant
newBuilder(SavedConstant) - Static method in class org.tensorflow.proto.framework.SavedConstant
newBuilder() - Static method in class org.tensorflow.proto.framework.SavedFunction
newBuilder(SavedFunction) - Static method in class org.tensorflow.proto.framework.SavedFunction
newBuilder() - Static method in class org.tensorflow.proto.framework.SavedModel
newBuilder(SavedModel) - Static method in class org.tensorflow.proto.framework.SavedModel
newBuilder() - Static method in class org.tensorflow.proto.framework.SavedObject
newBuilder(SavedObject) - Static method in class org.tensorflow.proto.framework.SavedObject
newBuilder() - Static method in class org.tensorflow.proto.framework.SavedObjectGraph
newBuilder(SavedObjectGraph) - Static method in class org.tensorflow.proto.framework.SavedObjectGraph
newBuilder() - Static method in class org.tensorflow.proto.framework.SavedResource
newBuilder(SavedResource) - Static method in class org.tensorflow.proto.framework.SavedResource
newBuilder() - Static method in class org.tensorflow.proto.framework.SavedUserObject
newBuilder(SavedUserObject) - Static method in class org.tensorflow.proto.framework.SavedUserObject
newBuilder() - Static method in class org.tensorflow.proto.framework.SavedVariable
newBuilder(SavedVariable) - Static method in class org.tensorflow.proto.framework.SavedVariable
newBuilder() - Static method in class org.tensorflow.proto.framework.SaveSliceInfoDef
newBuilder(SaveSliceInfoDef) - Static method in class org.tensorflow.proto.framework.SaveSliceInfoDef
newBuilder() - Static method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
newBuilder(ScopedAllocatorOptions) - Static method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
newBuilder() - Static method in class org.tensorflow.proto.framework.SessionInfo
newBuilder(SessionInfo) - Static method in class org.tensorflow.proto.framework.SessionInfo
newBuilder() - Static method in class org.tensorflow.proto.framework.SessionMetadata
newBuilder(SessionMetadata) - Static method in class org.tensorflow.proto.framework.SessionMetadata
newBuilder() - Static method in class org.tensorflow.proto.framework.SignatureDef
newBuilder(SignatureDef) - Static method in class org.tensorflow.proto.framework.SignatureDef
newBuilder() - Static method in class org.tensorflow.proto.framework.Status.DerivedStatus
newBuilder(Status.DerivedStatus) - Static method in class org.tensorflow.proto.framework.Status.DerivedStatus
newBuilder() - Static method in class org.tensorflow.proto.framework.StepStats
newBuilder(StepStats) - Static method in class org.tensorflow.proto.framework.StepStats
newBuilder() - Static method in class org.tensorflow.proto.framework.StructuredValue
newBuilder(StructuredValue) - Static method in class org.tensorflow.proto.framework.StructuredValue
newBuilder() - Static method in class org.tensorflow.proto.framework.Summary.Audio
newBuilder(Summary.Audio) - Static method in class org.tensorflow.proto.framework.Summary.Audio
newBuilder() - Static method in class org.tensorflow.proto.framework.Summary.Image
newBuilder(Summary.Image) - Static method in class org.tensorflow.proto.framework.Summary.Image
newBuilder() - Static method in class org.tensorflow.proto.framework.Summary
newBuilder(Summary) - Static method in class org.tensorflow.proto.framework.Summary
newBuilder() - Static method in class org.tensorflow.proto.framework.Summary.Value
newBuilder(Summary.Value) - Static method in class org.tensorflow.proto.framework.Summary.Value
newBuilder() - Static method in class org.tensorflow.proto.framework.SummaryDescription
newBuilder(SummaryDescription) - Static method in class org.tensorflow.proto.framework.SummaryDescription
newBuilder() - Static method in class org.tensorflow.proto.framework.SummaryMetadata
newBuilder(SummaryMetadata) - Static method in class org.tensorflow.proto.framework.SummaryMetadata
newBuilder() - Static method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
newBuilder(SummaryMetadata.PluginData) - Static method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
newBuilder() - Static method in class org.tensorflow.proto.framework.TensorConnection
newBuilder(TensorConnection) - Static method in class org.tensorflow.proto.framework.TensorConnection
newBuilder() - Static method in class org.tensorflow.proto.framework.TensorDescription
newBuilder(TensorDescription) - Static method in class org.tensorflow.proto.framework.TensorDescription
newBuilder() - Static method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
newBuilder(TensorInfo.CompositeTensor) - Static method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
newBuilder() - Static method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
newBuilder(TensorInfo.CooSparse) - Static method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
newBuilder() - Static method in class org.tensorflow.proto.framework.TensorInfo
newBuilder(TensorInfo) - Static method in class org.tensorflow.proto.framework.TensorInfo
newBuilder() - Static method in class org.tensorflow.proto.framework.TensorProto
newBuilder(TensorProto) - Static method in class org.tensorflow.proto.framework.TensorProto
newBuilder() - Static method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
newBuilder(TensorShapeProto.Dim) - Static method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
newBuilder() - Static method in class org.tensorflow.proto.framework.TensorShapeProto
newBuilder(TensorShapeProto) - Static method in class org.tensorflow.proto.framework.TensorShapeProto
newBuilder() - Static method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
newBuilder(TensorSliceProto.Extent) - Static method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
newBuilder() - Static method in class org.tensorflow.proto.framework.TensorSliceProto
newBuilder(TensorSliceProto) - Static method in class org.tensorflow.proto.framework.TensorSliceProto
newBuilder() - Static method in class org.tensorflow.proto.framework.TensorSpecProto
newBuilder(TensorSpecProto) - Static method in class org.tensorflow.proto.framework.TensorSpecProto
newBuilder() - Static method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
newBuilder(ThreadPoolOptionProto) - Static method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
newBuilder() - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph
newBuilder(TrackableObjectGraph) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph
newBuilder() - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
newBuilder(TrackableObjectGraph.TrackableObject) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
newBuilder() - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
newBuilder(TrackableObjectGraph.TrackableObject.ObjectReference) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
newBuilder() - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
newBuilder(TrackableObjectGraph.TrackableObject.SerializedTensor) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
newBuilder() - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
newBuilder(TrackableObjectGraph.TrackableObject.SlotVariableReference) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
newBuilder() - Static method in class org.tensorflow.proto.framework.TupleValue
newBuilder(TupleValue) - Static method in class org.tensorflow.proto.framework.TupleValue
newBuilder() - Static method in class org.tensorflow.proto.framework.TypeSpecProto
newBuilder(TypeSpecProto) - Static method in class org.tensorflow.proto.framework.TypeSpecProto
newBuilder() - Static method in class org.tensorflow.proto.framework.ValuesDef
newBuilder(ValuesDef) - Static method in class org.tensorflow.proto.framework.ValuesDef
newBuilder() - Static method in class org.tensorflow.proto.framework.VariableDef
newBuilder(VariableDef) - Static method in class org.tensorflow.proto.framework.VariableDef
newBuilder() - Static method in class org.tensorflow.proto.framework.VariantTensorDataProto
newBuilder(VariantTensorDataProto) - Static method in class org.tensorflow.proto.framework.VariantTensorDataProto
newBuilder() - Static method in class org.tensorflow.proto.framework.VerifierConfig
newBuilder(VerifierConfig) - Static method in class org.tensorflow.proto.framework.VerifierConfig
newBuilder() - Static method in class org.tensorflow.proto.framework.VersionDef
newBuilder(VersionDef) - Static method in class org.tensorflow.proto.framework.VersionDef
newBuilder() - Static method in class org.tensorflow.proto.framework.WhileContextDef
newBuilder(WhileContextDef) - Static method in class org.tensorflow.proto.framework.WhileContextDef
newBuilder() - Static method in class org.tensorflow.proto.profiler.ProfileOptions
newBuilder(ProfileOptions) - Static method in class org.tensorflow.proto.profiler.ProfileOptions
newBuilder() - Static method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
newBuilder(RemoteProfilerSessionManagerOptions) - Static method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
newBuilder() - Static method in class org.tensorflow.proto.profiler.XEvent
newBuilder(XEvent) - Static method in class org.tensorflow.proto.profiler.XEvent
newBuilder() - Static method in class org.tensorflow.proto.profiler.XEventMetadata
newBuilder(XEventMetadata) - Static method in class org.tensorflow.proto.profiler.XEventMetadata
newBuilder() - Static method in class org.tensorflow.proto.profiler.XLine
newBuilder(XLine) - Static method in class org.tensorflow.proto.profiler.XLine
newBuilder() - Static method in class org.tensorflow.proto.profiler.XPlane
newBuilder(XPlane) - Static method in class org.tensorflow.proto.profiler.XPlane
newBuilder() - Static method in class org.tensorflow.proto.profiler.XSpace
newBuilder(XSpace) - Static method in class org.tensorflow.proto.profiler.XSpace
newBuilder() - Static method in class org.tensorflow.proto.profiler.XStat
newBuilder(XStat) - Static method in class org.tensorflow.proto.profiler.XStat
newBuilder() - Static method in class org.tensorflow.proto.profiler.XStatMetadata
newBuilder(XStatMetadata) - Static method in class org.tensorflow.proto.profiler.XStatMetadata
newBuilder() - Static method in class org.tensorflow.proto.util.BinSummary
newBuilder(BinSummary) - Static method in class org.tensorflow.proto.util.BinSummary
newBuilder() - Static method in class org.tensorflow.proto.util.BundleEntryProto
newBuilder(BundleEntryProto) - Static method in class org.tensorflow.proto.util.BundleEntryProto
newBuilder() - Static method in class org.tensorflow.proto.util.BundleHeaderProto
newBuilder(BundleHeaderProto) - Static method in class org.tensorflow.proto.util.BundleHeaderProto
newBuilder() - Static method in class org.tensorflow.proto.util.CodeLocation
newBuilder(CodeLocation) - Static method in class org.tensorflow.proto.util.CodeLocation
newBuilder() - Static method in class org.tensorflow.proto.util.DebugEvent
newBuilder(DebugEvent) - Static method in class org.tensorflow.proto.util.DebugEvent
newBuilder() - Static method in class org.tensorflow.proto.util.DebuggedDevice
newBuilder(DebuggedDevice) - Static method in class org.tensorflow.proto.util.DebuggedDevice
newBuilder() - Static method in class org.tensorflow.proto.util.DebuggedGraph
newBuilder(DebuggedGraph) - Static method in class org.tensorflow.proto.util.DebuggedGraph
newBuilder() - Static method in class org.tensorflow.proto.util.DebugMetadata
newBuilder(DebugMetadata) - Static method in class org.tensorflow.proto.util.DebugMetadata
newBuilder() - Static method in class org.tensorflow.proto.util.Event
newBuilder(Event) - Static method in class org.tensorflow.proto.util.Event
newBuilder() - Static method in class org.tensorflow.proto.util.Execution
newBuilder(Execution) - Static method in class org.tensorflow.proto.util.Execution
newBuilder() - Static method in class org.tensorflow.proto.util.GraphExecutionTrace
newBuilder(GraphExecutionTrace) - Static method in class org.tensorflow.proto.util.GraphExecutionTrace
newBuilder() - Static method in class org.tensorflow.proto.util.GraphOpCreation
newBuilder(GraphOpCreation) - Static method in class org.tensorflow.proto.util.GraphOpCreation
newBuilder() - Static method in class org.tensorflow.proto.util.LogMessage: Deprecated.
newBuilder(LogMessage) - Static method in class org.tensorflow.proto.util.LogMessage: Deprecated.
newBuilder() - Static method in class org.tensorflow.proto.util.MemAllocatorStats
newBuilder(MemAllocatorStats) - Static method in class org.tensorflow.proto.util.MemAllocatorStats
newBuilder() - Static method in class org.tensorflow.proto.util.MemChunk
newBuilder(MemChunk) - Static method in class org.tensorflow.proto.util.MemChunk
newBuilder() - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
newBuilder(MemmappedFileSystemDirectory) - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
newBuilder() - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
newBuilder(MemmappedFileSystemDirectoryElement) - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
newBuilder() - Static method in class org.tensorflow.proto.util.MemoryDump
newBuilder(MemoryDump) - Static method in class org.tensorflow.proto.util.MemoryDump
newBuilder() - Static method in class org.tensorflow.proto.util.RequestedExitCode
newBuilder(RequestedExitCode) - Static method in class org.tensorflow.proto.util.RequestedExitCode
newBuilder() - Static method in class org.tensorflow.proto.util.SavedSlice
newBuilder(SavedSlice) - Static method in class org.tensorflow.proto.util.SavedSlice
newBuilder() - Static method in class org.tensorflow.proto.util.SavedSliceMeta
newBuilder(SavedSliceMeta) - Static method in class org.tensorflow.proto.util.SavedSliceMeta
newBuilder() - Static method in class org.tensorflow.proto.util.SavedTensorSliceMeta
newBuilder(SavedTensorSliceMeta) - Static method in class org.tensorflow.proto.util.SavedTensorSliceMeta
newBuilder() - Static method in class org.tensorflow.proto.util.SavedTensorSlices
newBuilder(SavedTensorSlices) - Static method in class org.tensorflow.proto.util.SavedTensorSlices
newBuilder() - Static method in class org.tensorflow.proto.util.SaverDef
newBuilder(SaverDef) - Static method in class org.tensorflow.proto.util.SaverDef
newBuilder() - Static method in class org.tensorflow.proto.util.SessionLog
newBuilder(SessionLog) - Static method in class org.tensorflow.proto.util.SessionLog
newBuilder() - Static method in class org.tensorflow.proto.util.SnapShot
newBuilder(SnapShot) - Static method in class org.tensorflow.proto.util.SnapShot
newBuilder() - Static method in class org.tensorflow.proto.util.SourceFile
newBuilder(SourceFile) - Static method in class org.tensorflow.proto.util.SourceFile
newBuilder() - Static method in class org.tensorflow.proto.util.StackFrameWithId
newBuilder(StackFrameWithId) - Static method in class org.tensorflow.proto.util.StackFrameWithId
newBuilder() - Static method in class org.tensorflow.proto.util.TaggedRunMetadata
newBuilder(TaggedRunMetadata) - Static method in class org.tensorflow.proto.util.TaggedRunMetadata
newBuilder() - Static method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
newBuilder(AvailableDeviceInfo) - Static method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
newBuilder() - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
newBuilder(BenchmarkEntries) - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
newBuilder() - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
newBuilder(BenchmarkEntry) - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
newBuilder() - Static method in class org.tensorflow.proto.util.testlog.BuildConfiguration
newBuilder(BuildConfiguration) - Static method in class org.tensorflow.proto.util.testlog.BuildConfiguration
newBuilder() - Static method in class org.tensorflow.proto.util.testlog.CommitId
newBuilder(CommitId) - Static method in class org.tensorflow.proto.util.testlog.CommitId
newBuilder() - Static method in class org.tensorflow.proto.util.testlog.CPUInfo
newBuilder(CPUInfo) - Static method in class org.tensorflow.proto.util.testlog.CPUInfo
newBuilder() - Static method in class org.tensorflow.proto.util.testlog.EntryValue
newBuilder(EntryValue) - Static method in class org.tensorflow.proto.util.testlog.EntryValue
newBuilder() - Static method in class org.tensorflow.proto.util.testlog.GPUInfo
newBuilder(GPUInfo) - Static method in class org.tensorflow.proto.util.testlog.GPUInfo
newBuilder() - Static method in class org.tensorflow.proto.util.testlog.MachineConfiguration
newBuilder(MachineConfiguration) - Static method in class org.tensorflow.proto.util.testlog.MachineConfiguration
newBuilder() - Static method in class org.tensorflow.proto.util.testlog.MemoryInfo
newBuilder(MemoryInfo) - Static method in class org.tensorflow.proto.util.testlog.MemoryInfo
newBuilder() - Static method in class org.tensorflow.proto.util.testlog.MetricEntry
newBuilder(MetricEntry) - Static method in class org.tensorflow.proto.util.testlog.MetricEntry
newBuilder() - Static method in class org.tensorflow.proto.util.testlog.PlatformInfo
newBuilder(PlatformInfo) - Static method in class org.tensorflow.proto.util.testlog.PlatformInfo
newBuilder() - Static method in class org.tensorflow.proto.util.testlog.RunConfiguration
newBuilder(RunConfiguration) - Static method in class org.tensorflow.proto.util.testlog.RunConfiguration
newBuilder() - Static method in class org.tensorflow.proto.util.testlog.TestResults
newBuilder(TestResults) - Static method in class org.tensorflow.proto.util.testlog.TestResults
newBuilder() - Static method in class org.tensorflow.proto.util.WatchdogConfig
newBuilder(WatchdogConfig) - Static method in class org.tensorflow.proto.util.WatchdogConfig
newBuilder() - Static method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
newBuilder(WorkerHeartbeatRequest) - Static method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
newBuilder() - Static method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
newBuilder(WorkerHeartbeatResponse) - Static method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
newBuilderForType() - Method in class org.tensorflow.proto.data.AutotuneOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.AutotuneOptions
newBuilderForType() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
newBuilderForType() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
newBuilderForType() - Method in class org.tensorflow.proto.data.DistributeOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.DistributeOptions
newBuilderForType() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
newBuilderForType() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
newBuilderForType() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
newBuilderForType() - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord
newBuilderForType() - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
newBuilderForType() - Method in class org.tensorflow.proto.data.experimental.TensorMetadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.experimental.TensorMetadata
newBuilderForType() - Method in class org.tensorflow.proto.data.model.ModelProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.model.ModelProto
newBuilderForType() - Method in class org.tensorflow.proto.data.model.ModelProto.Node
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.model.ModelProto.Node
newBuilderForType() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
newBuilderForType() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
newBuilderForType() - Method in class org.tensorflow.proto.data.OptimizationOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.OptimizationOptions
newBuilderForType() - Method in class org.tensorflow.proto.data.Options
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.Options
newBuilderForType() - Method in class org.tensorflow.proto.data.ThreadingOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.ThreadingOptions
newBuilderForType() - Method in class org.tensorflow.proto.distruntime.ClusterDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.distruntime.ClusterDef
newBuilderForType() - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
newBuilderForType() - Method in class org.tensorflow.proto.distruntime.JobDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.distruntime.JobDef
newBuilderForType() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters
newBuilderForType() - Method in class org.tensorflow.proto.distruntime.ServerDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.distruntime.ServerDef
newBuilderForType() - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
newBuilderForType() - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
newBuilderForType() - Method in class org.tensorflow.proto.example.BytesList
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.example.BytesList
newBuilderForType() - Method in class org.tensorflow.proto.example.Example
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.example.Example
newBuilderForType() - Method in class org.tensorflow.proto.example.ExampleParserConfiguration
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.example.ExampleParserConfiguration
newBuilderForType() - Method in class org.tensorflow.proto.example.Feature
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.example.Feature
newBuilderForType() - Method in class org.tensorflow.proto.example.FeatureConfiguration
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.example.FeatureConfiguration
newBuilderForType() - Method in class org.tensorflow.proto.example.FeatureList
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.example.FeatureList
newBuilderForType() - Method in class org.tensorflow.proto.example.FeatureLists
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.example.FeatureLists
newBuilderForType() - Method in class org.tensorflow.proto.example.Features
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.example.Features
newBuilderForType() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.example.FixedLenFeatureProto
newBuilderForType() - Method in class org.tensorflow.proto.example.FloatList
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.example.FloatList
newBuilderForType() - Method in class org.tensorflow.proto.example.Int64List
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.example.Int64List
newBuilderForType() - Method in class org.tensorflow.proto.example.SequenceExample
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.example.SequenceExample
newBuilderForType() - Method in class org.tensorflow.proto.example.VarLenFeatureProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.example.VarLenFeatureProto
newBuilderForType() - Method in class org.tensorflow.proto.framework.AllocationDescription
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.AllocationDescription
newBuilderForType() - Method in class org.tensorflow.proto.framework.AllocationRecord
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.AllocationRecord
newBuilderForType() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
newBuilderForType() - Method in class org.tensorflow.proto.framework.ApiDef.Arg
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.ApiDef.Arg
newBuilderForType() - Method in class org.tensorflow.proto.framework.ApiDef.Attr
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.ApiDef.Attr
newBuilderForType() - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint
newBuilderForType() - Method in class org.tensorflow.proto.framework.ApiDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.ApiDef
newBuilderForType() - Method in class org.tensorflow.proto.framework.ApiDefs
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.ApiDefs
newBuilderForType() - Method in class org.tensorflow.proto.framework.AssetFileDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.AssetFileDef
newBuilderForType() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue
newBuilderForType() - Method in class org.tensorflow.proto.framework.AttrValue
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.AttrValue
newBuilderForType() - Method in class org.tensorflow.proto.framework.AutoParallelOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.AutoParallelOptions
newBuilderForType() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
newBuilderForType() - Method in class org.tensorflow.proto.framework.CallableOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.CallableOptions
newBuilderForType() - Method in class org.tensorflow.proto.framework.CapturedTensor
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.CapturedTensor
newBuilderForType() - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList
newBuilderForType() - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList
newBuilderForType() - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList
newBuilderForType() - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List
newBuilderForType() - Method in class org.tensorflow.proto.framework.CollectionDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.CollectionDef
newBuilderForType() - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList
newBuilderForType() - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
newBuilderForType() - Method in class org.tensorflow.proto.framework.CondContextDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.CondContextDef
newBuilderForType() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental
newBuilderForType() - Method in class org.tensorflow.proto.framework.ConfigProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.ConfigProto
newBuilderForType() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.ControlFlowContextDef
newBuilderForType() - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
newBuilderForType() - Method in class org.tensorflow.proto.framework.CostGraphDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.CostGraphDef
newBuilderForType() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
newBuilderForType() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node
newBuilderForType() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
newBuilderForType() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.DebuggedSourceFile
newBuilderForType() - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles
newBuilderForType() - Method in class org.tensorflow.proto.framework.DebugOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.DebugOptions
newBuilderForType() - Method in class org.tensorflow.proto.framework.DebugTensorWatch
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.DebugTensorWatch
newBuilderForType() - Method in class org.tensorflow.proto.framework.DeviceAttributes
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.DeviceAttributes
newBuilderForType() - Method in class org.tensorflow.proto.framework.DeviceLocality
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.DeviceLocality
newBuilderForType() - Method in class org.tensorflow.proto.framework.DeviceProperties
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.DeviceProperties
newBuilderForType() - Method in class org.tensorflow.proto.framework.DeviceStepStats
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.DeviceStepStats
newBuilderForType() - Method in class org.tensorflow.proto.framework.DictValue
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.DictValue
newBuilderForType() - Method in class org.tensorflow.proto.framework.FullTypeDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.FullTypeDef
newBuilderForType() - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
newBuilderForType() - Method in class org.tensorflow.proto.framework.FunctionDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.FunctionDef
newBuilderForType() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary
newBuilderForType() - Method in class org.tensorflow.proto.framework.FunctionSpec
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.FunctionSpec
newBuilderForType() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental
newBuilderForType() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
newBuilderForType() - Method in class org.tensorflow.proto.framework.GPUOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.GPUOptions
newBuilderForType() - Method in class org.tensorflow.proto.framework.GradientDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.GradientDef
newBuilderForType() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
newBuilderForType() - Method in class org.tensorflow.proto.framework.GraphDebugInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.GraphDebugInfo
newBuilderForType() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
newBuilderForType() - Method in class org.tensorflow.proto.framework.GraphDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.GraphDef
newBuilderForType() - Method in class org.tensorflow.proto.framework.GraphOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.GraphOptions
newBuilderForType() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
newBuilderForType() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
newBuilderForType() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
newBuilderForType() - Method in class org.tensorflow.proto.framework.GraphTransferInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.GraphTransferInfo
newBuilderForType() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
newBuilderForType() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput
newBuilderForType() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
newBuilderForType() - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
newBuilderForType() - Method in class org.tensorflow.proto.framework.HistogramProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.HistogramProto
newBuilderForType() - Method in class org.tensorflow.proto.framework.InterconnectLink
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.InterconnectLink
newBuilderForType() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
newBuilderForType() - Method in class org.tensorflow.proto.framework.KernelDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.KernelDef
newBuilderForType() - Method in class org.tensorflow.proto.framework.KernelList
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.KernelList
newBuilderForType() - Method in class org.tensorflow.proto.framework.ListValue
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.ListValue
newBuilderForType() - Method in class org.tensorflow.proto.framework.LocalLinks
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.LocalLinks
newBuilderForType() - Method in class org.tensorflow.proto.framework.LogNormalDistribution
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.LogNormalDistribution
newBuilderForType() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
newBuilderForType() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
newBuilderForType() - Method in class org.tensorflow.proto.framework.MemoryLogStep
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.MemoryLogStep
newBuilderForType() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
newBuilderForType() - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
newBuilderForType() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
newBuilderForType() - Method in class org.tensorflow.proto.framework.MemoryStats
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.MemoryStats
newBuilderForType() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
newBuilderForType() - Method in class org.tensorflow.proto.framework.MetaGraphDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.MetaGraphDef
newBuilderForType() - Method in class org.tensorflow.proto.framework.NameAttrList
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.NameAttrList
newBuilderForType() - Method in class org.tensorflow.proto.framework.NamedDevice
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.NamedDevice
newBuilderForType() - Method in class org.tensorflow.proto.framework.NamedTensorProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.NamedTensorProto
newBuilderForType() - Method in class org.tensorflow.proto.framework.NamedTupleValue
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.NamedTupleValue
newBuilderForType() - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
newBuilderForType() - Method in class org.tensorflow.proto.framework.NodeDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.NodeDef
newBuilderForType() - Method in class org.tensorflow.proto.framework.NodeExecStats
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.NodeExecStats
newBuilderForType() - Method in class org.tensorflow.proto.framework.NodeOutput
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.NodeOutput
newBuilderForType() - Method in class org.tensorflow.proto.framework.NoneValue
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.NoneValue
newBuilderForType() - Method in class org.tensorflow.proto.framework.NormalDistribution
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.NormalDistribution
newBuilderForType() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef
newBuilderForType() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.OpDef.AttrDef
newBuilderForType() - Method in class org.tensorflow.proto.framework.OpDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.OpDef
newBuilderForType() - Method in class org.tensorflow.proto.framework.OpDeprecation
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.OpDeprecation
newBuilderForType() - Method in class org.tensorflow.proto.framework.OpInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.OpInfo
newBuilderForType() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
newBuilderForType() - Method in class org.tensorflow.proto.framework.OpList
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.OpList
newBuilderForType() - Method in class org.tensorflow.proto.framework.OpPerformance
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.OpPerformance
newBuilderForType() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
newBuilderForType() - Method in class org.tensorflow.proto.framework.OpPerformanceList
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.OpPerformanceList
newBuilderForType() - Method in class org.tensorflow.proto.framework.OptimizerOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.OptimizerOptions
newBuilderForType() - Method in class org.tensorflow.proto.framework.PairValue
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.PairValue
newBuilderForType() - Method in class org.tensorflow.proto.framework.QueueRunnerDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.QueueRunnerDef
newBuilderForType() - Method in class org.tensorflow.proto.framework.ReaderBaseState
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.ReaderBaseState
newBuilderForType() - Method in class org.tensorflow.proto.framework.RegisteredGradient
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.RegisteredGradient
newBuilderForType() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle
newBuilderForType() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
newBuilderForType() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
newBuilderForType() - Method in class org.tensorflow.proto.framework.ResourceHandleProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.ResourceHandleProto
newBuilderForType() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
newBuilderForType() - Method in class org.tensorflow.proto.framework.RewriterConfig
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.RewriterConfig
newBuilderForType() - Method in class org.tensorflow.proto.framework.RPCOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.RPCOptions
newBuilderForType() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
newBuilderForType() - Method in class org.tensorflow.proto.framework.RunMetadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.RunMetadata
newBuilderForType() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental
newBuilderForType() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
newBuilderForType() - Method in class org.tensorflow.proto.framework.RunOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.RunOptions
newBuilderForType() - Method in class org.tensorflow.proto.framework.SaveableObject
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.SaveableObject
newBuilderForType() - Method in class org.tensorflow.proto.framework.SavedAsset
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.SavedAsset
newBuilderForType() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
newBuilderForType() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.SavedConcreteFunction
newBuilderForType() - Method in class org.tensorflow.proto.framework.SavedConstant
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.SavedConstant
newBuilderForType() - Method in class org.tensorflow.proto.framework.SavedFunction
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.SavedFunction
newBuilderForType() - Method in class org.tensorflow.proto.framework.SavedModel
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.SavedModel
newBuilderForType() - Method in class org.tensorflow.proto.framework.SavedObject
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.SavedObject
newBuilderForType() - Method in class org.tensorflow.proto.framework.SavedObjectGraph
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.SavedObjectGraph
newBuilderForType() - Method in class org.tensorflow.proto.framework.SavedResource
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.SavedResource
newBuilderForType() - Method in class org.tensorflow.proto.framework.SavedUserObject
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.SavedUserObject
newBuilderForType() - Method in class org.tensorflow.proto.framework.SavedVariable
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.SavedVariable
newBuilderForType() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef
newBuilderForType() - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
newBuilderForType() - Method in class org.tensorflow.proto.framework.SessionInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.SessionInfo
newBuilderForType() - Method in class org.tensorflow.proto.framework.SessionMetadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.SessionMetadata
newBuilderForType() - Method in class org.tensorflow.proto.framework.SignatureDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.SignatureDef
newBuilderForType() - Method in class org.tensorflow.proto.framework.Status.DerivedStatus
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.Status.DerivedStatus
newBuilderForType() - Method in class org.tensorflow.proto.framework.StepStats
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.StepStats
newBuilderForType() - Method in class org.tensorflow.proto.framework.StructuredValue
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.StructuredValue
newBuilderForType() - Method in class org.tensorflow.proto.framework.Summary.Audio
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.Summary.Audio
newBuilderForType() - Method in class org.tensorflow.proto.framework.Summary.Image
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.Summary.Image
newBuilderForType() - Method in class org.tensorflow.proto.framework.Summary
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.Summary
newBuilderForType() - Method in class org.tensorflow.proto.framework.Summary.Value
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.Summary.Value
newBuilderForType() - Method in class org.tensorflow.proto.framework.SummaryDescription
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.SummaryDescription
newBuilderForType() - Method in class org.tensorflow.proto.framework.SummaryMetadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.SummaryMetadata
newBuilderForType() - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
newBuilderForType() - Method in class org.tensorflow.proto.framework.TensorConnection
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.TensorConnection
newBuilderForType() - Method in class org.tensorflow.proto.framework.TensorDescription
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.TensorDescription
newBuilderForType() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
newBuilderForType() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
newBuilderForType() - Method in class org.tensorflow.proto.framework.TensorInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.TensorInfo
newBuilderForType() - Method in class org.tensorflow.proto.framework.TensorProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.TensorProto
newBuilderForType() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
newBuilderForType() - Method in class org.tensorflow.proto.framework.TensorShapeProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.TensorShapeProto
newBuilderForType() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
newBuilderForType() - Method in class org.tensorflow.proto.framework.TensorSliceProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.TensorSliceProto
newBuilderForType() - Method in class org.tensorflow.proto.framework.TensorSpecProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.TensorSpecProto
newBuilderForType() - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
newBuilderForType() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph
newBuilderForType() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
newBuilderForType() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
newBuilderForType() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
newBuilderForType() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
newBuilderForType() - Method in class org.tensorflow.proto.framework.TupleValue
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.TupleValue
newBuilderForType() - Method in class org.tensorflow.proto.framework.TypeSpecProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.TypeSpecProto
newBuilderForType() - Method in class org.tensorflow.proto.framework.ValuesDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.ValuesDef
newBuilderForType() - Method in class org.tensorflow.proto.framework.VariableDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.VariableDef
newBuilderForType() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto
newBuilderForType() - Method in class org.tensorflow.proto.framework.VerifierConfig
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.VerifierConfig
newBuilderForType() - Method in class org.tensorflow.proto.framework.VersionDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.VersionDef
newBuilderForType() - Method in class org.tensorflow.proto.framework.WhileContextDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.framework.WhileContextDef
newBuilderForType() - Method in class org.tensorflow.proto.profiler.ProfileOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.profiler.ProfileOptions
newBuilderForType() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
newBuilderForType() - Method in class org.tensorflow.proto.profiler.XEvent
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.profiler.XEvent
newBuilderForType() - Method in class org.tensorflow.proto.profiler.XEventMetadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.profiler.XEventMetadata
newBuilderForType() - Method in class org.tensorflow.proto.profiler.XLine
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.profiler.XLine
newBuilderForType() - Method in class org.tensorflow.proto.profiler.XPlane
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.profiler.XPlane
newBuilderForType() - Method in class org.tensorflow.proto.profiler.XSpace
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.profiler.XSpace
newBuilderForType() - Method in class org.tensorflow.proto.profiler.XStat
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.profiler.XStat
newBuilderForType() - Method in class org.tensorflow.proto.profiler.XStatMetadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.profiler.XStatMetadata
newBuilderForType() - Method in class org.tensorflow.proto.util.BinSummary
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.BinSummary
newBuilderForType() - Method in class org.tensorflow.proto.util.BundleEntryProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.BundleEntryProto
newBuilderForType() - Method in class org.tensorflow.proto.util.BundleHeaderProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.BundleHeaderProto
newBuilderForType() - Method in class org.tensorflow.proto.util.CodeLocation
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.CodeLocation
newBuilderForType() - Method in class org.tensorflow.proto.util.DebugEvent
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.DebugEvent
newBuilderForType() - Method in class org.tensorflow.proto.util.DebuggedDevice
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.DebuggedDevice
newBuilderForType() - Method in class org.tensorflow.proto.util.DebuggedGraph
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.DebuggedGraph
newBuilderForType() - Method in class org.tensorflow.proto.util.DebugMetadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.DebugMetadata
newBuilderForType() - Method in class org.tensorflow.proto.util.Event
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.Event
newBuilderForType() - Method in class org.tensorflow.proto.util.Execution
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.Execution
newBuilderForType() - Method in class org.tensorflow.proto.util.GraphExecutionTrace
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.GraphExecutionTrace
newBuilderForType() - Method in class org.tensorflow.proto.util.GraphOpCreation
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.GraphOpCreation
newBuilderForType() - Method in class org.tensorflow.proto.util.LogMessage: Deprecated.
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.LogMessage: Deprecated.
newBuilderForType() - Method in class org.tensorflow.proto.util.MemAllocatorStats
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.MemAllocatorStats
newBuilderForType() - Method in class org.tensorflow.proto.util.MemChunk
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.MemChunk
newBuilderForType() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
newBuilderForType() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
newBuilderForType() - Method in class org.tensorflow.proto.util.MemoryDump
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.MemoryDump
newBuilderForType() - Method in class org.tensorflow.proto.util.RequestedExitCode
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.RequestedExitCode
newBuilderForType() - Method in class org.tensorflow.proto.util.SavedSlice
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.SavedSlice
newBuilderForType() - Method in class org.tensorflow.proto.util.SavedSliceMeta
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.SavedSliceMeta
newBuilderForType() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta
newBuilderForType() - Method in class org.tensorflow.proto.util.SavedTensorSlices
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.SavedTensorSlices
newBuilderForType() - Method in class org.tensorflow.proto.util.SaverDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.SaverDef
newBuilderForType() - Method in class org.tensorflow.proto.util.SessionLog
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.SessionLog
newBuilderForType() - Method in class org.tensorflow.proto.util.SnapShot
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.SnapShot
newBuilderForType() - Method in class org.tensorflow.proto.util.SourceFile
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.SourceFile
newBuilderForType() - Method in class org.tensorflow.proto.util.StackFrameWithId
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.StackFrameWithId
newBuilderForType() - Method in class org.tensorflow.proto.util.TaggedRunMetadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.TaggedRunMetadata
newBuilderForType() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
newBuilderForType() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
newBuilderForType() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
newBuilderForType() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration
newBuilderForType() - Method in class org.tensorflow.proto.util.testlog.CommitId
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.testlog.CommitId
newBuilderForType() - Method in class org.tensorflow.proto.util.testlog.CPUInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.testlog.CPUInfo
newBuilderForType() - Method in class org.tensorflow.proto.util.testlog.EntryValue
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.testlog.EntryValue
newBuilderForType() - Method in class org.tensorflow.proto.util.testlog.GPUInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.testlog.GPUInfo
newBuilderForType() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration
newBuilderForType() - Method in class org.tensorflow.proto.util.testlog.MemoryInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.testlog.MemoryInfo
newBuilderForType() - Method in class org.tensorflow.proto.util.testlog.MetricEntry
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.testlog.MetricEntry
newBuilderForType() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.testlog.PlatformInfo
newBuilderForType() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration
newBuilderForType() - Method in class org.tensorflow.proto.util.testlog.TestResults
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.testlog.TestResults
newBuilderForType() - Method in class org.tensorflow.proto.util.WatchdogConfig
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.WatchdogConfig
newBuilderForType() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
newBuilderForType() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
newContext(TFE_ContextOptions, TF_Status) - Static method in class org.tensorflow.internal.c_api.AbstractTFE_Context: Calls TFE_NewContext(), and registers a deallocator.
newContextOptions() - Static method in class org.tensorflow.internal.c_api.AbstractTFE_ContextOptions: Calls TFE_NewContextOptions(), and registers a deallocator.
newFormatKey - Variable in class org.tensorflow.op.tpu.TPUReshardVariables.Inputs: The newFormatKey input
newGlobalStep - Variable in class org.tensorflow.op.train.AccumulatorSetGlobalStep.Inputs: The new global_step value to set.
newGlobalStep - Variable in class org.tensorflow.op.train.ResourceAccumulatorSetGlobalStep.Inputs: The new global_step value to set.
newGraph() - Static method in class org.tensorflow.internal.c_api.AbstractTF_Graph: Calls TF_NewGraph(), and registers a deallocator.
newImportGraphDefOptions() - Static method in class org.tensorflow.internal.c_api.AbstractTF_ImportGraphDefOptions: Calls TF_NewImportGraphDefOptions(), and registers a deallocator.
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.AutotuneOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.DistributeOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.experimental.TensorMetadata
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.model.ModelProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.model.ModelProto.Node
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.OptimizationOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.Options
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.ThreadingOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.distruntime.ClusterDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.distruntime.JobDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.distruntime.ServerDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.example.BytesList
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.example.Example
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.example.ExampleParserConfiguration
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.example.Feature
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.example.FeatureConfiguration
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.example.FeatureList
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.example.FeatureLists
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.example.Features
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.example.FixedLenFeatureProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.example.FloatList
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.example.Int64List
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.example.SequenceExample
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.example.VarLenFeatureProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.AllocationDescription
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.AllocationRecord
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.ApiDef.Arg
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.ApiDef.Attr
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.ApiDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.ApiDefs
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.AssetFileDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.AttrValue
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.AutoParallelOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.CallableOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.CapturedTensor
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.CollectionDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.CondContextDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.ConfigProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.ControlFlowContextDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.CostGraphDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.DebuggedSourceFile
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.DebugOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.DebugTensorWatch
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.DeviceAttributes
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.DeviceLocality
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.DeviceProperties
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.DeviceStepStats
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.DictValue
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.FullTypeDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.FunctionDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.FunctionSpec
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.GPUOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.GradientDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.GraphDebugInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.GraphDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.GraphOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.GraphTransferInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.HistogramProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.InterconnectLink
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.KernelDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.KernelList
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.ListValue
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.LocalLinks
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.LogNormalDistribution
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.MemoryLogStep
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.MemoryStats
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.MetaGraphDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.NameAttrList
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.NamedDevice
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.NamedTensorProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.NamedTupleValue
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.NodeDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.NodeExecStats
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.NodeOutput
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.NoneValue
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.NormalDistribution
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.OpDef.AttrDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.OpDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.OpDeprecation
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.OpInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.OpList
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.OpPerformance
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.OpPerformanceList
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.OptimizerOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.PairValue
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.QueueRunnerDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.ReaderBaseState
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.RegisteredGradient
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.ResourceHandleProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.RewriterConfig
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.RPCOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.RunMetadata
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.RunOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.SaveableObject
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.SavedAsset
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.SavedConcreteFunction
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.SavedConstant
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.SavedFunction
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.SavedModel
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.SavedObject
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.SavedObjectGraph
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.SavedResource
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.SavedUserObject
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.SavedVariable
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.SessionInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.SessionMetadata
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.SignatureDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.Status.DerivedStatus
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.StepStats
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.StructuredValue
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.Summary.Audio
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.Summary.Image
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.Summary
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.Summary.Value
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.SummaryDescription
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.SummaryMetadata
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.TensorConnection
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.TensorDescription
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.TensorInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.TensorProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.TensorShapeProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.TensorSliceProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.TensorSpecProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.TupleValue
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.TypeSpecProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.ValuesDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.VariableDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.VerifierConfig
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.VersionDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.framework.WhileContextDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.profiler.ProfileOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.profiler.XEvent
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.profiler.XEventMetadata
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.profiler.XLine
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.profiler.XPlane
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.profiler.XSpace
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.profiler.XStat
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.profiler.XStatMetadata
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.BinSummary
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.BundleEntryProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.BundleHeaderProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.CodeLocation
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.DebugEvent
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.DebuggedDevice
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.DebuggedGraph
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.DebugMetadata
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.Event
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.Execution
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.GraphExecutionTrace
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.GraphOpCreation
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.LogMessage: Deprecated.
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.MemAllocatorStats
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.MemChunk
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.MemoryDump
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.RequestedExitCode
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.SavedSlice
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.SavedSliceMeta
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.SavedTensorSlices
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.SaverDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.SessionLog
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.SnapShot
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.SourceFile
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.StackFrameWithId
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.TaggedRunMetadata
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.testlog.CommitId
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.testlog.CPUInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.testlog.EntryValue
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.testlog.GPUInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.testlog.MemoryInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.testlog.MetricEntry
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.testlog.PlatformInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.testlog.TestResults
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.WatchdogConfig
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
newOp(TFE_Context, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.AbstractTFE_Op: Calls TFE_NewOp(), and registers a deallocator.
NewRootScope() - Static method in class org.tensorflow.internal.c_api.TF_Scope: Return a new scope.
newSession(TF_Graph, TF_SessionOptions, TF_Status) - Static method in class org.tensorflow.internal.c_api.AbstractTF_Session: Calls TF_NewSession(), and registers a deallocator.
newSessionOptions() - Static method in class org.tensorflow.internal.c_api.AbstractTF_SessionOptions: Calls TF_NewSessionOptions(), and registers a deallocator.
newShape - Variable in class org.tensorflow.op.sparse.SparseReshape.Inputs: 1-D.
newStatus() - Static method in class org.tensorflow.internal.c_api.AbstractTF_Status: Calls TF_NewStatus(), and registers a deallocator.
NewSubScope(BytePointer) - Method in class org.tensorflow.internal.c_api.TF_Scope: Return a new scope.
NewSubScope(String) - Method in class org.tensorflow.internal.c_api.TF_Scope
newTensor(int, long[], Pointer) - Static method in class org.tensorflow.internal.c_api.AbstractTF_Tensor: Calls TF_NewTensor(), and registers a deallocator.
newTensor(TF_Tensor, TF_Status) - Static method in class org.tensorflow.internal.c_api.AbstractTFE_TensorHandle: Calls TFE_NewTensorHandle(), and registers a deallocator.
newVocabFile - Variable in class org.tensorflow.op.train.GenerateVocabRemapping.Inputs: Path to the new vocab file.
newVocabOffset - Variable in class org.tensorflow.op.train.GenerateVocabRemapping.Inputs: How many entries into the new vocab file to start reading.
NextAfter<T extends TNumber> - Class in org.tensorflow.op.math: Returns the next representable value of x1 in the direction of x2, element-wise.
NextAfter(Operation) - Constructor for class org.tensorflow.op.math.NextAfter
nextAfter(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns the next representable value of x1 in the direction of x2, element-wise.
NextAfter.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
nextFuncOtherArgs - Variable in class org.tensorflow.op.data.GeneratorDataset.Inputs: The nextFuncOtherArgs input
NextIteration<T extends TType> - Class in org.tensorflow.op.core: Makes its input available to the next iteration.
NextIteration(Operation) - Constructor for class org.tensorflow.op.core.NextIteration
nextIteration(Operand<T>) - Method in class org.tensorflow.op.Ops: Makes its input available to the next iteration.
NextIteration.Inputs<T extends TType> - Class in org.tensorflow.op.core
NfeatureListDense(Long) - Static method in class org.tensorflow.op.io.ParseSequenceExample: Sets the NfeatureListDense option.
NfeatureListDense(Long) - Method in class org.tensorflow.op.io.ParseSequenceExample.Options: Sets the NfeatureListDense option.
NfeatureListDense(Long) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample: Sets the NfeatureListDense option.
NfeatureListDense(Long) - Method in class org.tensorflow.op.io.ParseSingleSequenceExample.Options: Sets the NfeatureListDense option.
NfeatureListSparse(Long) - Static method in class org.tensorflow.op.io.ParseSequenceExample: Sets the NfeatureListSparse option.
NfeatureListSparse(Long) - Method in class org.tensorflow.op.io.ParseSequenceExample.Options: Sets the NfeatureListSparse option.
NfeatureListSparse(Long) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample: Sets the NfeatureListSparse option.
NfeatureListSparse(Long) - Method in class org.tensorflow.op.io.ParseSingleSequenceExample.Options: Sets the NfeatureListSparse option.
ngrams() - Method in class org.tensorflow.op.strings.StringNGrams: Gets ngrams.
ngramsSplits() - Method in class org.tensorflow.op.strings.StringNGrams: Gets ngramsSplits.
ngramWidths - Variable in class org.tensorflow.op.strings.StringNGrams.Inputs: The sizes of the ngrams to create.
NHWC_TO_NCHW_VALUE - Static variable in enum org.tensorflow.proto.framework.RewriterConfig.CpuLayout: NHWC_TO_NCHW = 2;
ninputs() - Method in class org.tensorflow.internal.c_api.TF_WhileParams
nmsedBoxes() - Method in class org.tensorflow.op.image.CombinedNonMaxSuppression: Gets nmsedBoxes.
nmsedClasses() - Method in class org.tensorflow.op.image.CombinedNonMaxSuppression: Gets nmsedClasses.
nmsedScores() - Method in class org.tensorflow.op.image.CombinedNonMaxSuppression: Gets nmsedScores.
nmsThreshold - Variable in class org.tensorflow.op.image.GenerateBoundingBoxProposals.Inputs: A scalar float tensor for non-maximal-suppression threshold.
nn - Variable in class org.tensorflow.op.Ops
NN(Long) - Static method in class org.tensorflow.op.tpu.SendTPUEmbeddingGradients: Sets the NN option.
NN(Long) - Method in class org.tensorflow.op.tpu.SendTPUEmbeddingGradients.Options: Sets the NN option.
NnOps - Class in org.tensorflow.op: An API for building nn operations as Ops
nnz() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixNNZ: Gets nnz.
NO_CONVERSION_ON_CPU_VALUE - Static variable in enum org.tensorflow.proto.framework.RewriterConfig.CpuLayout: NO_CONVERSION_ON_CPU = 0;
NO_MEM_OPT_VALUE - Static variable in enum org.tensorflow.proto.framework.RewriterConfig.MemOptType: Disabled in the meta-optimizer.
NO_TENSOR_VALUE - Static variable in enum org.tensorflow.proto.util.TensorDebugMode: Only records what tensors are computed, eagerly or in graphs.
NO_TRACE_VALUE - Static variable in enum org.tensorflow.proto.framework.RunOptions.TraceLevel: NO_TRACE = 0;
node() - Method in class org.tensorflow.internal.c_api.NativeOperation
node() - Method in class org.tensorflow.internal.c_api.NativeOutput
Node - Class in org.tensorflow.internal.c_api
Node(Pointer) - Constructor for class org.tensorflow.internal.c_api.Node: Pointer cast constructor.
node() - Method in class org.tensorflow.internal.c_api.TF_Operation
node_builder() - Method in class org.tensorflow.internal.c_api.TF_OperationDescription
node_builder(NodeBuilder) - Method in class org.tensorflow.internal.c_api.TF_OperationDescription
NODE_CLASS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto.Node
NODE_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.FunctionDef
NODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CostGraphDef
NODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphDef
NODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpPerformance
NODE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
NODE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferNodeInfo
NODE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferNodeInput
NODE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
NODE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
NODE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
NODE_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferInfo
NODE_INPUT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
NODE_INPUT_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferInfo
NODE_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CollectionDef
NODE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DebugTensorWatch
NODE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NodeExecStats
NODE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.Summary.Value
NODE_OUTPUT_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferInfo
NODE_STATS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DeviceStepStats
NodeBuilder - Class in org.tensorflow.internal.c_api
NodeBuilder() - Constructor for class org.tensorflow.internal.c_api.NodeBuilder: Empty constructor.
NodeBuilder(Pointer) - Constructor for class org.tensorflow.internal.c_api.NodeBuilder: Pointer cast constructor.
NodeClass - Enum in org.tensorflow.proto.data.model: Class of a node in the performance model.
NodeDef - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.NodeDef
NodeDef.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.NodeDef
NodeDef.ExperimentalDebugInfo - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.NodeDef.ExperimentalDebugInfo
NodeDef.ExperimentalDebugInfo.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.NodeDef.ExperimentalDebugInfo
NodeDef.ExperimentalDebugInfoOrBuilder - Interface in org.tensorflow.proto.framework
NodeDefOrBuilder - Interface in org.tensorflow.proto.framework
NodeExecStats - Class in org.tensorflow.proto.framework: Time/size stats recorded for a single execution of a graph node.
NodeExecStats.Builder - Class in org.tensorflow.proto.framework: Time/size stats recorded for a single execution of a graph node.
NodeExecStatsOrBuilder - Interface in org.tensorflow.proto.framework
nodeIdRange - Variable in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplit.Inputs: A Rank 1 tensor (shape=[2]) to specify the range [first, last) of node ids to process within stats_summary_list.
nodeIdRange - Variable in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplitV2.Inputs: A Rank 1 tensor (shape=[2]) to specify the range [first, last) of node ids to process within stats_summary_list.
nodeIdRange - Variable in class org.tensorflow.op.estimator.BoostedTreesCalculateBestGainsPerFeature.Inputs: A Rank 1 tensor (shape=[2]) to specify the range [first, last) of node ids to process within stats_summary_list.
nodeIdRange - Variable in class org.tensorflow.op.estimator.BoostedTreesSparseCalculateBestFeatureSplit.Inputs: A Rank 1 tensor (shape=[2]) to specify the range [first, last) of node ids to process within stats_summary_list.
nodeIds - Variable in class org.tensorflow.op.estimator.BoostedTreesAggregateStats.Inputs: int32; Rank 1 Tensor containing node ids for each example, shape [batch_size].
nodeIds() - Method in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplit: Gets nodeIds.
nodeIds() - Method in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplitV2: Gets nodeIds.
nodeIds - Variable in class org.tensorflow.op.estimator.BoostedTreesMakeStatsSummary.Inputs: int32 Rank 1 Tensor containing node ids, which each example falls into for the requested layer.
nodeIds - Variable in class org.tensorflow.op.estimator.BoostedTreesSparseAggregateStats.Inputs: int32; Rank 1 Tensor containing node ids for each example, shape [batch_size].
nodeIds() - Method in class org.tensorflow.op.estimator.BoostedTreesSparseCalculateBestFeatureSplit: Gets nodeIds.
nodeIds() - Method in class org.tensorflow.op.estimator.BoostedTreesTrainingPredict: Gets nodeIds.
nodeIds - Variable in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsemble.Inputs: List of rank 1 tensors representing the nodes for which this feature has a split.
nodeIds - Variable in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsembleV2.Inputs: List of rank 1 tensors representing the nodes for which this feature has a split.
nodeIdsList() - Method in class org.tensorflow.op.estimator.BoostedTreesCalculateBestGainsPerFeature: Gets nodeIdsList.
NodeOutput - Class in org.tensorflow.proto.framework: Output sizes recorded for a single execution of a graph node.
NodeOutput.Builder - Class in org.tensorflow.proto.framework: Output sizes recorded for a single execution of a graph node.
NodeOutputOrBuilder - Interface in org.tensorflow.proto.framework
NodeProto - Class in org.tensorflow.proto.framework
NODES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto
NODES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedObjectGraph
NODES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TrackableObjectGraph
noise - Variable in class org.tensorflow.op.image.ExtractGlimpse.Inputs: indicates if the noise should `uniform`, `gaussian`, or `zero`.
noise(String) - Static method in class org.tensorflow.op.image.ExtractGlimpse: Sets the noise option.
noise(String) - Method in class org.tensorflow.op.image.ExtractGlimpse.Options: Sets the noise option.
NonDeterministicInts - Class in org.tensorflow.op.random: Non-deterministically generates some integers.
NonDeterministicInts(Operation) - Constructor for class org.tensorflow.op.random.NonDeterministicInts
NonDeterministicInts.Inputs - Class in org.tensorflow.op.random
NONE_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.StructuredValue
NoneValue - Class in org.tensorflow.proto.framework: Represents None.
NoneValue.Builder - Class in org.tensorflow.proto.framework: Represents None.
NoneValueOrBuilder - Interface in org.tensorflow.proto.framework
NonMaxSuppression<T extends TNumber> - Class in org.tensorflow.op.image: Greedily selects a subset of bounding boxes in descending order of score, pruning away boxes that have high intersection-over-union (IOU) overlap with previously selected boxes.
NonMaxSuppression(Operation) - Constructor for class org.tensorflow.op.image.NonMaxSuppression
nonMaxSuppression(Operand<T>, Operand<T>, Operand<TInt32>, Operand<T>, Operand<T>, Operand<T>, NonMaxSuppression.Options...) - Method in class org.tensorflow.op.ImageOps: Greedily selects a subset of bounding boxes in descending order of score, pruning away boxes that have high intersection-over-union (IOU) overlap with previously selected boxes.
NonMaxSuppression.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
NonMaxSuppression.Options - Class in org.tensorflow.op.image: Optional attributes for NonMaxSuppression
NonMaxSuppressionWithOverlaps - Class in org.tensorflow.op.image: Greedily selects a subset of bounding boxes in descending order of score, pruning away boxes that have high overlaps with previously selected boxes.
NonMaxSuppressionWithOverlaps(Operation) - Constructor for class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps
nonMaxSuppressionWithOverlaps(Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>) - Method in class org.tensorflow.op.ImageOps: Greedily selects a subset of bounding boxes in descending order of score, pruning away boxes that have high overlaps with previously selected boxes.
NonMaxSuppressionWithOverlaps.Inputs - Class in org.tensorflow.op.image
NonSerializableDataset - Class in org.tensorflow.op.data.experimental: The ExperimentalNonSerializableDataset operation
NonSerializableDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.NonSerializableDataset
NonSerializableDataset - Class in org.tensorflow.op.data: The NonSerializableDataset operation
NonSerializableDataset(Operation) - Constructor for class org.tensorflow.op.data.NonSerializableDataset
nonSerializableDataset(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: The NonSerializableDataset operation
NonSerializableDataset.Inputs - Class in org.tensorflow.op.data.experimental
NonSerializableDataset.Inputs - Class in org.tensorflow.op.data
NoOp - Class in org.tensorflow.op.core: Does nothing.
NoOp(Operation) - Constructor for class org.tensorflow.op.core.NoOp
noOp() - Method in class org.tensorflow.op.Ops: Does nothing.
NoOp.Inputs - Class in org.tensorflow.op.core
NOOP_ELIMINATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.OptimizationOptions
NOP_VALUE - Static variable in enum org.tensorflow.proto.framework.GraphTransferInfo.Destination: NOP = 0;
NorderingToken(Long) - Static method in class org.tensorflow.op.collective.CollectiveGather: Sets the NorderingToken option.
NorderingToken(Long) - Method in class org.tensorflow.op.collective.CollectiveGather.Options: Sets the NorderingToken option.
NormalDistribution - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.NormalDistribution
NormalDistribution.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.NormalDistribution
NormalDistributionOrBuilder - Interface in org.tensorflow.proto.framework
normalize - Variable in class org.tensorflow.op.core.EditDistance.Inputs: boolean (if true, edit distances are normalized by length of truth).
normalize(Boolean) - Static method in class org.tensorflow.op.core.EditDistance: Sets the normalize option.
normalize(Boolean) - Method in class org.tensorflow.op.core.EditDistance.Options: Sets the normalize option.
normalized - Variable in class org.tensorflow.op.image.ExtractGlimpse.Inputs: indicates if the offset coordinates are normalized.
normalized(Boolean) - Static method in class org.tensorflow.op.image.ExtractGlimpse: Sets the normalized option.
normalized(Boolean) - Method in class org.tensorflow.op.image.ExtractGlimpse.Options: Sets the normalized option.
NOT_CONFIGURED_VALUE - Static variable in enum org.tensorflow.proto.util.WorkerShutdownMode: NOT_CONFIGURED = 1;
NOT_FOUND_VALUE - Static variable in enum org.tensorflow.proto.framework.Code: Some requested entity (e.g., file or directory) was not found.
NotEqual - Class in org.tensorflow.op.math: Returns the truth value of (x != y) element-wise.
NotEqual(Operation) - Constructor for class org.tensorflow.op.math.NotEqual
notEqual(Operand<T>, Operand<T>, NotEqual.Options...) - Method in class org.tensorflow.op.MathOps: Returns the truth value of (x != y) element-wise.
NotEqual.Inputs<T extends TType> - Class in org.tensorflow.op.math
NotEqual.Options - Class in org.tensorflow.op.math: Optional attributes for NotEqual
notEquals(NativeStatus) - Method in class org.tensorflow.internal.c_api.NativeStatus
NthElement<T extends TNumber> - Class in org.tensorflow.op.nn: Finds values of the n-th order statistic for the last dimension.
NthElement(Operation) - Constructor for class org.tensorflow.op.nn.NthElement
nthElement(Operand<T>, Operand<TInt32>, NthElement.Options...) - Method in class org.tensorflow.op.NnOps: Finds values of the n-th order statistic for the last dimension.
NthElement.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
NthElement.Options - Class in org.tensorflow.op.nn: Optional attributes for NthElement
num - Variable in class org.tensorflow.op.core.LinSpace.Inputs: 0-D tensor.
NUM_ALLOCS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.MemAllocatorStats
NUM_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MemoryLogRawAllocation
NUM_CHANNELS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.Summary.Audio
NUM_CHANNELS_PER_TARGET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RPCOptions
NUM_CORES_ALLOWED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.CPUInfo
NUM_CORES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DeviceProperties
NUM_CORES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.CPUInfo
NUM_DEV_TO_DEV_COPY_STREAMS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GPUOptions.Experimental
NUM_DEVICES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DistributeOptions
NUM_ELEMENTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
NUM_ELEMENTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto.Node
NUM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.HistogramProto
NUM_FLAT_COMPONENTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TypeSpecProto
num_inputs() - Method in class org.tensorflow.internal.c_api.Node
NUM_OCCURRENCES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XEvent
num_outputs() - Method in class org.tensorflow.internal.c_api.Node
NUM_OUTPUTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.Execution
NUM_OUTPUTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.GraphOpCreation
NUM_RECORDS_PRODUCED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ReaderBaseState
NUM_REGISTERS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DeviceProperties
NUM_REPLICAS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AutoParallelOptions
NUM_SHARDS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.BundleHeaderProto
NUM_THREADS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ThreadPoolOptionProto
NUMA_NODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DeviceLocality
numAccumulated() - Method in class org.tensorflow.op.train.AccumulatorNumAccumulated: Gets numAccumulated.
numAccumulated() - Method in class org.tensorflow.op.train.ResourceAccumulatorNumAccumulated: Gets numAccumulated.
numAttemptedLayers() - Method in class org.tensorflow.op.estimator.BoostedTreesGetEnsembleStates: Gets numAttemptedLayers.
numBatchThreads - Variable in class org.tensorflow.op.core.Batch.Inputs: The numBatchThreads attribute
numBatchThreads - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: Number of scheduling threads for processing batches of work.
NUMBER_ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef.ArgDef
numBits - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Inputs: The numBits attribute
numBits(Long) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs: Sets the numBits option.
numBits(Long) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Options: Sets the numBits option.
numBits - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Inputs: The numBits attribute
numBits(Long) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient: Sets the numBits option.
numBits(Long) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Options: Sets the numBits option.
numBits - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars.Inputs: The numBits attribute
numBits(Long) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars: Sets the numBits option.
numBits(Long) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars.Options: Sets the numBits option.
numBits - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Inputs: The bitwidth of the quantization; between 2 and 8, inclusive.
numBits(Long) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient: Sets the numBits option.
numBits(Long) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Options: Sets the numBits option.
numBits - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel.Inputs: The numBits attribute
numBits(Long) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel: Sets the numBits option.
numBits(Long) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel.Options: Sets the numBits option.
numBits - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Inputs: The bitwidth of the quantization; between 2 and 16, inclusive.
numBits(Long) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient: Sets the numBits option.
numBits(Long) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Options: Sets the numBits option.
numBits - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs: The numBits input
numBits - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs: The numBits input
numBits - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: The bitwidth of the quantization.
numBits(Long) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4: Sets the numBits option.
numBits(Long) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Options: Sets the numBits option.
numBuckets - Variable in class org.tensorflow.op.estimator.BoostedTreesAggregateStats.Inputs: int; equals to the maximum possible value of bucketized feature.
numBuckets - Variable in class org.tensorflow.op.estimator.BoostedTreesMakeStatsSummary.Inputs: int; equals to the maximum possible value of bucketized feature.
numBuckets - Variable in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceFlush.Inputs: int; approximate number of buckets unless using generate_quantiles.
numBuckets - Variable in class org.tensorflow.op.estimator.BoostedTreesSparseAggregateStats.Inputs: int; equals to the maximum possible value of bucketized feature + 1.
numBuckets - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The numBuckets attribute
numBuckets - Variable in class org.tensorflow.op.sparse.SparseCrossHashed.Inputs: It is used if hashed_output is true.
numBuckets - Variable in class org.tensorflow.op.strings.ToHashBucket.Inputs: The number of buckets.
numBuckets - Variable in class org.tensorflow.op.strings.ToHashBucketFast.Inputs: The number of buckets.
numBuckets - Variable in class org.tensorflow.op.strings.ToHashBucketStrong.Inputs: The number of buckets.
numBytes() - Method in class org.tensorflow.RawTensor
numBytes() - Method in interface org.tensorflow.Tensor: Returns the size, in bytes, of the tensor data.
numBytes() - Method in interface org.tensorflow.types.family.TType
numCols - Variable in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Inputs: Number of columns (length of the 2nd dimension) in the output matrix.
numCols - Variable in class org.tensorflow.op.linalg.MatrixDiag.Inputs: The number of columns of the output matrix.
numCols - Variable in class org.tensorflow.op.linalg.MatrixDiagV3.Inputs: The number of columns of the output matrix.
numConcats - Variable in class org.tensorflow.op.xla.AssignVariableConcatND.Inputs: Number of ways to merge per dimension.
numConcats - Variable in class org.tensorflow.op.xla.ConcatND.Inputs: Number of ways to merge per dimension.
numConsumers(int) - Method in class org.tensorflow.GraphOperation: Get the number of ops that use this op's designated output as an input, not including control dependencies.
numConsumers() - Method in class org.tensorflow.GraphOperation: Get the number of ops that use any of this op's outputs as an input, not including control dependencies.
numConsumers - Variable in class org.tensorflow.op.data.DataServiceDatasetV2.Inputs: The numConsumers input
numControlConsumers() - Method in class org.tensorflow.GraphOperation: Get the number of ops with this op as a control dependency.
numControlInputs() - Method in class org.tensorflow.GraphOperation: Get the number of control inputs for this op.
numCoresPerReplica - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: Number of cores per replica.
numCoresPerReplica(Long) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the numCoresPerReplica option.
numCoresPerReplica(Long) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the numCoresPerReplica option.
numCoresPerReplica - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

Number of cores per replica.
numCoresPerReplica(Long) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the numCoresPerReplica option.
numCoresPerReplica(Long) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the numCoresPerReplica option.
numDevices - Variable in class org.tensorflow.op.core.NcclAllReduce.Inputs: Deprecated.

The numDevices attribute
numDevices - Variable in class org.tensorflow.op.distribute.NcclAllReduce.Inputs: The numDevices attribute
numDimensions(Scope, Shape<TInt32>) - Static method in class org.tensorflow.op.core.Shapes: Get the number of dimensions of the shape object.
numDimensions(Scope, Shape, Class) - Static method in class org.tensorflow.op.core.Shapes: Get the number of dimensions of the shape object.
numDimensions(Shape<TInt32>) - Method in class org.tensorflow.op.ShapeOps: Get the number of dimensions of the shape object.
numDimensions(Shape, Class) - Method in class org.tensorflow.op.ShapeOps: Get the number of dimensions of the shape object.
numElements - Variable in class org.tensorflow.op.core.BarrierTakeMany.Inputs: A single-element tensor containing the number of elements to take.
numElements - Variable in class org.tensorflow.op.core.TensorListReserve.Inputs: The numElements input
numElements - Variable in class org.tensorflow.op.core.TensorListScatter.Inputs: The numElements input
numElements - Variable in class org.tensorflow.op.core.TensorListStack.Inputs: The numElements attribute
numElements(Long) - Static method in class org.tensorflow.op.core.TensorListStack: Sets the numElements option.
numElements(Long) - Method in class org.tensorflow.op.core.TensorListStack.Options: Sets the numElements option.
numElementsPerBranch - Variable in class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs: The numElementsPerBranch attribute
numExperiments - Variable in class org.tensorflow.op.data.ChooseFastestDataset.Inputs: The numExperiments attribute
numExperiments - Variable in class org.tensorflow.op.data.experimental.ChooseFastestDataset.Inputs: The numExperiments attribute
numFeatures - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The numFeatures attribute
numFeatures(List<Long>) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch: Sets the numFeatures option.
numFeatures(Long...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch: Sets the numFeatures option.
numFeatures(List<Long>) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the numFeatures option.
numFeatures(Long...) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the numFeatures option.
numFeatures - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: The numFeatures attribute
numFeatures(List<Long>) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch: Sets the numFeatures option.
numFeatures(Long...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch: Sets the numFeatures option.
numFeatures(List<Long>) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Options: Sets the numFeatures option.
numFeatures(Long...) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Options: Sets the numFeatures option.
numFinalizedTrees() - Method in class org.tensorflow.op.estimator.BoostedTreesGetEnsembleStates: Gets numFinalizedTrees.
numGroups(Long) - Static method in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsembleV2: Sets the numGroups option.
numGroups(Long) - Method in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsembleV2.Options: Sets the numGroups option.
numInnerIterations - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: Number of iterations per mini-batch.
numInputs() - Method in class org.tensorflow.GraphOperation: Get the number of inputs to the op, not including control inputs.
numLayers - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The numLayers input
numLayers - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The numLayers input
numLayers - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The numLayers input
numLossPartitions - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: Number of partitions of the global loss function.
numLower - Variable in class org.tensorflow.op.linalg.BandPart.Inputs: 0-D tensor.
numLower - Variable in class org.tensorflow.op.linalg.BatchMatrixBandPart.Inputs: The numLower input
numNegativeSamples - Variable in class org.tensorflow.op.train.NegTrain.Inputs: Number of negative samples per example.
numNewVocab - Variable in class org.tensorflow.op.train.GenerateVocabRemapping.Inputs: Number of entries in the new vocab file to remap.
numOutputs() - Method in class org.tensorflow.GraphOperation
numOutputs() - Method in interface org.tensorflow.Operation: Returns the number of tensors produced by this operation.
numParallelCalls - Variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs: A scalar representing the maximum number of parallel invocations of the map_fn function.
numParallelCalls - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: The numParallelCalls input
numParallelCalls - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: A scalar representing the maximum number of parallel invocations of the map_fn function.
numParallelCalls - Variable in class org.tensorflow.op.data.ParallelBatchDataset.Inputs: The numParallelCalls input
numParallelCalls - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: Determines the number of threads that should be used for fetching data from input datasets in parallel.
numParallelCalls - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The number of concurrent invocations of f that process elements from input_dataset in parallel.
numParallelCalls - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: The numParallelCalls input
numPresent() - Method in class org.tensorflow.op.train.GenerateVocabRemapping: Gets numPresent.
numProj - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The numProj attribute
numProj(Long) - Static method in class org.tensorflow.op.nn.CudnnRNN: Sets the numProj option.
numProj(Long) - Method in class org.tensorflow.op.nn.CudnnRNN.Options: Sets the numProj option.
numProj - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The numProj attribute
numProj(Long) - Static method in class org.tensorflow.op.nn.CudnnRNNBackprop: Sets the numProj option.
numProj(Long) - Method in class org.tensorflow.op.nn.CudnnRNNBackprop.Options: Sets the numProj option.
numProj - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The numProj attribute
numProj(Long) - Static method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: Sets the numProj option.
numProj(Long) - Method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Options: Sets the numProj option.
numProj - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The numProj attribute
numProj(Long) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize: Sets the numProj option.
numProj(Long) - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize.Options: Sets the numProj option.
numProj - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The numProj attribute
numProj(Long) - Static method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Sets the numProj option.
numProj(Long) - Method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Options: Sets the numProj option.
numRecords - Variable in class org.tensorflow.op.io.ReaderReadUpTo.Inputs: number of records to read from Reader.
numReplicas - Variable in class org.tensorflow.op.data.AutoShardDataset.Inputs: The numReplicas attribute
numReplicas(Long) - Static method in class org.tensorflow.op.data.AutoShardDataset: Sets the numReplicas option.
numReplicas(Long) - Method in class org.tensorflow.op.data.AutoShardDataset.Options: Sets the numReplicas option.
numReplicas - Variable in class org.tensorflow.op.data.experimental.RebatchDataset.Inputs: A scalar representing the number of replicas to distribute this batch across.
numReplicas - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: Number of replicas of the computation
numReplicas - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

Number of replicas of the computation
numRequired - Variable in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient.Inputs: Number of gradients required before we return an aggregate.
numRequired - Variable in class org.tensorflow.op.train.AccumulatorTakeGradient.Inputs: Number of gradients required before we return an aggregate.
numRequired - Variable in class org.tensorflow.op.train.ResourceAccumulatorTakeGradient.Inputs: Number of gradients required before we return an aggregate.
numReservedIds - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: Optionally some reserved IDs can be added in the range [0, ..., num_reserved_ids) by the users.
numReservedIds(Long) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Sets the numReservedIds option.
numReservedIds(Long) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options: Sets the numReservedIds option.
numResults - Variable in class org.tensorflow.op.math.SobolSample.Inputs: Positive scalar Tensor of dtype int32.
numRetriesPerSample - Variable in class org.tensorflow.op.cluster.KmeansPlusPlusInitialization.Inputs: Scalar.
numRows - Variable in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Inputs: Number of rows (length of the 1st dimension) in the output matrix.
numRows - Variable in class org.tensorflow.op.linalg.MatrixDiag.Inputs: The number of rows of the output matrix.
numRows - Variable in class org.tensorflow.op.linalg.MatrixDiagV3.Inputs: The number of rows of the output matrix.
numSampled - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: Number of candidates to randomly sample.
numSampled - Variable in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Inputs: Number of candidates to randomly sample.
numSampled - Variable in class org.tensorflow.op.random.AllCandidateSampler.Inputs: Number of candidates to produce.
numSampled - Variable in class org.tensorflow.op.random.LogUniformCandidateSampler.Inputs: Number of candidates to randomly sample.
numSampled - Variable in class org.tensorflow.op.random.UniformCandidateSampler.Inputs: Number of candidates to randomly sample.
numSamples - Variable in class org.tensorflow.op.random.Multinomial.Inputs: 0-D.
numSamples - Variable in class org.tensorflow.op.random.StatelessMultinomial.Inputs: 0-D.
numSegments - Variable in class org.tensorflow.op.math.UnsortedSegmentMax.Inputs: The numSegments input
numSegments - Variable in class org.tensorflow.op.math.UnsortedSegmentMin.Inputs: The numSegments input
numSegments - Variable in class org.tensorflow.op.math.UnsortedSegmentProd.Inputs: The numSegments input
numSegments - Variable in class org.tensorflow.op.math.UnsortedSegmentSum.Inputs: The numSegments input
numSegments - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs: Should equal the number of distinct segment IDs.
numSegments - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs: Should equal the number of distinct segment IDs.
numSegments - Variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs: Should equal the number of distinct segment IDs.
numSegments - Variable in class org.tensorflow.op.strings.UnsortedSegmentJoin.Inputs: A scalar.
numShards - Variable in class org.tensorflow.op.data.ShardDataset.Inputs: An integer representing the number of shards operating in parallel.
numShards - Variable in class org.tensorflow.op.io.ShardedFilename.Inputs: The numShards input
numShards - Variable in class org.tensorflow.op.io.ShardedFilespec.Inputs: The numShards input
numShards - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: A sampler can be used to sample from a subset of the original range in order to speed up the whole computation through parallelism.
numShards(Long) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Sets the numShards option.
numShards(Long) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options: Sets the numShards option.
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Inputs: The numShards attribute
numSplits - Variable in class org.tensorflow.op.xla.ReadVariableSplitND.Inputs: Number of ways to split per dimension.
numSplits - Variable in class org.tensorflow.op.xla.SplitND.Inputs: Number of ways to split per dimension.
numStreams - Variable in class org.tensorflow.op.estimator.BoostedTreesCreateQuantileStreamResource.Inputs: int; The number of streams managed by the resource that shares the same epsilon.
numThreads - Variable in class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset.Inputs: Identifies the number of threads to use for the private threadpool.
numThreads - Variable in class org.tensorflow.op.data.experimental.ThreadPoolHandle.Inputs: The number of threads in the thread pool.
numThreads - Variable in class org.tensorflow.op.data.PrivateThreadPoolDataset.Inputs: Identifies the number of threads to use for the private threadpool.
numThreads - Variable in class org.tensorflow.op.data.ThreadPoolHandle.Inputs: The number of threads in the thread pool.
numToSample - Variable in class org.tensorflow.op.cluster.KmeansPlusPlusInitialization.Inputs: Scalar.
numTrees() - Method in class org.tensorflow.op.estimator.BoostedTreesGetEnsembleStates: Gets numTrees.
numTrue - Variable in class org.tensorflow.op.nn.ComputeAccidentalHits.Inputs: Number of true labels per context.
numTrue - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: Number of true labels per context.
numTrue - Variable in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Inputs: Number of true labels per context.
numTrue - Variable in class org.tensorflow.op.random.AllCandidateSampler.Inputs: Number of true labels per context.
numTrue - Variable in class org.tensorflow.op.random.LogUniformCandidateSampler.Inputs: Number of true labels per context.
numTrue - Variable in class org.tensorflow.op.random.UniformCandidateSampler.Inputs: Number of true labels per context.
numUnits - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The numUnits input
numUnits - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The numUnits input
numUnits - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The numUnits input
numUpper - Variable in class org.tensorflow.op.linalg.BandPart.Inputs: 0-D tensor.
numUpper - Variable in class org.tensorflow.op.linalg.BatchMatrixBandPart.Inputs: The numUpper input
numWorkers - Variable in class org.tensorflow.op.data.AutoShardDataset.Inputs: A scalar representing the number of workers to distribute this dataset across.
numWorkers - Variable in class org.tensorflow.op.data.experimental.AutoShardDataset.Inputs: A scalar representing the number of workers to distribute this dataset across.

O

o() - Method in class org.tensorflow.op.nn.BlockLSTM: Gets o.
o - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The output gate over the whole time sequence.
o() - Method in class org.tensorflow.op.nn.LSTMBlockCell: Gets o.
o - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The output gate.
OBJECT_GRAPH_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MetaGraphDef
OBSOLETE_OLD_STYLE_HISTOGRAM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.Summary.Value
of(Class<T>, Shape) - Static method in interface org.tensorflow.Tensor: Allocates a tensor of a given datatype and shape.
of(Class<T>, Shape, long) - Static method in interface org.tensorflow.Tensor: Allocates a tensor of a given datatype, shape and size.
of(Class<T>, Shape, Consumer<T>) - Static method in interface org.tensorflow.Tensor: Allocates and initialize a tensor of a given datatype and shape.
of(Class<T>, Shape, long, Consumer<T>) - Static method in interface org.tensorflow.Tensor: Allocates a tensor of a given datatype, shape and size.
of(Class<T>, Shape, ByteDataBuffer) - Static method in interface org.tensorflow.Tensor: Creates a Tensor of any type from the raw data provided by the given buffer.
OFF_VALUE - Static variable in enum org.tensorflow.proto.data.AutoShardPolicy: OFF: No sharding will be performed.
OFF_VALUE - Static variable in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy: No sharding will be performed.
OFF_VALUE - Static variable in enum org.tensorflow.proto.framework.FunctionSpec.JitCompile: OFF = 2;
OFF_VALUE - Static variable in enum org.tensorflow.proto.framework.OptimizerOptions.GlobalJitLevel: OFF = -1;
OFF_VALUE - Static variable in enum org.tensorflow.proto.framework.RewriterConfig.Toggle: OFF = 2;
OFF_VALUE - Static variable in enum org.tensorflow.proto.framework.VerifierConfig.Toggle: OFF = 2;
offset() - Method in class org.tensorflow.internal.c_api.TF_TString_Offset
offset(int) - Method in class org.tensorflow.internal.c_api.TF_TString_Offset
offset() - Method in class org.tensorflow.internal.c_api.TF_TString_Union
offset(TF_TString_Offset) - Method in class org.tensorflow.internal.c_api.TF_TString_Union
offset - Variable in class org.tensorflow.op.core.InitializeTableFromTextFile.Inputs: The offset attribute
offset(Long) - Static method in class org.tensorflow.op.core.InitializeTableFromTextFile: Sets the offset option.
offset(Long) - Method in class org.tensorflow.op.core.InitializeTableFromTextFile.Options: Sets the offset option.
offset - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: A 1D Tensor for offset, to shift to the normalized x.
OFFSET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.BundleEntryProto
OFFSET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
OFFSET_PS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XEvent
offsetBackprop() - Method in class org.tensorflow.op.nn.FusedBatchNormGrad: Gets offsetBackprop.
offsets - Variable in class org.tensorflow.op.image.ExtractGlimpse.Inputs: A 2-D integer tensor of shape [batch_size, 2] containing the y, x locations of the center of each window.
offValue - Variable in class org.tensorflow.op.core.OneHot.Inputs: A scalar defining the value to fill in output when indices[j] != i.
OK() - Static method in class org.tensorflow.internal.c_api.NativeStatus
ok() - Method in class org.tensorflow.internal.c_api.NativeStatus: Returns true iff the status indicates success.
ok() - Method in class org.tensorflow.internal.c_api.TF_Scope
OK_VALUE - Static variable in enum org.tensorflow.proto.framework.Code: Not an error; returned on success
OK_VALUE - Static variable in enum org.tensorflow.proto.util.WorkerHealth: By default a worker is healthy.
oldTensorName - Variable in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Inputs: Name of the 2-D Tensor to load from checkpoint.
oldVocabFile - Variable in class org.tensorflow.op.train.GenerateVocabRemapping.Inputs: Path to the old vocab file.
oldVocabSize - Variable in class org.tensorflow.op.train.GenerateVocabRemapping.Inputs: Number of entries in the old vocab file to consider.
oldVocabSize(Long) - Static method in class org.tensorflow.op.train.GenerateVocabRemapping: Sets the oldVocabSize option.
oldVocabSize(Long) - Method in class org.tensorflow.op.train.GenerateVocabRemapping.Options: Sets the oldVocabSize option.
ON_1_VALUE - Static variable in enum org.tensorflow.proto.framework.OptimizerOptions.GlobalJitLevel: The following settings turn on compilation, with higher values being more aggressive.
ON_2_VALUE - Static variable in enum org.tensorflow.proto.framework.OptimizerOptions.GlobalJitLevel: ON_2 = 2;
on_host() - Method in class org.tensorflow.internal.c_api.TF_AllocatorAttributes
on_host(byte) - Method in class org.tensorflow.internal.c_api.TF_AllocatorAttributes
ON_VALUE - Static variable in enum org.tensorflow.proto.framework.FunctionSpec.JitCompile: ON = 1;
ON_VALUE - Static variable in enum org.tensorflow.proto.framework.RewriterConfig.Toggle: ON = 1;
ON_VALUE - Static variable in enum org.tensorflow.proto.framework.VerifierConfig.Toggle: ON = 1;
ONE_VALUE - Static variable in enum org.tensorflow.proto.framework.RewriterConfig.NumIterationsType: ONE = 1;
OneHot - Class in org.tensorflow.op.core: Returns a one-hot tensor.
OneHot(Operation) - Constructor for class org.tensorflow.op.core.OneHot
oneHot(Operand<? extends TNumber>, Operand<TInt32>, Operand, Operand, OneHot.Options...) - Method in class org.tensorflow.op.Ops: Returns a one-hot tensor.
OneHot.Inputs - Class in org.tensorflow.op.core
OneHot.Options - Class in org.tensorflow.op.core: Optional attributes for OneHot
Ones<T extends TType> - Class in org.tensorflow.op.core: An operator creating a constant initialized with ones of the shape given by `dims`.
ones(Operand<? extends TNumber>, Class<T>) - Method in class org.tensorflow.op.Ops: Creates a one valued tensor given its type and shape.
OneShotIterator - Class in org.tensorflow.op.data: Makes a "one-shot" iterator that can be iterated only once.
OneShotIterator(Operation) - Constructor for class org.tensorflow.op.data.OneShotIterator
oneShotIterator(ConcreteFunction, List<Class<? extends TType>>, List<Shape>, OneShotIterator.Options...) - Method in class org.tensorflow.op.DataOps: Makes a "one-shot" iterator that can be iterated only once.
OneShotIterator.Inputs - Class in org.tensorflow.op.data
OneShotIterator.Options - Class in org.tensorflow.op.data: Optional attributes for OneShotIterator
OnesLike<T extends TType> - Class in org.tensorflow.op.core: Returns a tensor of ones with the same shape and type as x.
OnesLike(Operation) - Constructor for class org.tensorflow.op.core.OnesLike
onesLike(Operand<T>) - Method in class org.tensorflow.op.Ops: Returns a tensor of ones with the same shape and type as x.
OnesLike.Inputs<T extends TType> - Class in org.tensorflow.op.core
onOpCreated(Operation) - Method in class org.tensorflow.op.GradientScope
onOpCreated(Operation) - Method in class org.tensorflow.op.OpScope
onOpCreated(Operation) - Method in interface org.tensorflow.op.Scope: Handle op creation, like registering it as an init op if the scope is init.
onValue - Variable in class org.tensorflow.op.core.OneHot.Inputs: A scalar defining the value to fill in output when indices[j] = i.
op() - Method in class org.tensorflow.internal.c_api.NativeOutput
op() - Method in class org.tensorflow.op.core.Ones
op() - Method in class org.tensorflow.op.core.Zeros
Op - Interface in org.tensorflow.op: A logical unit of computation.
op() - Method in interface org.tensorflow.op.Op: Return this unit of computation as a single Operation.
op() - Method in class org.tensorflow.op.RawOp
op() - Method in class org.tensorflow.Output
OP_DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RemoteTensorHandle
OP_END_REL_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NodeExecStats
OP_END_REL_NANOS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NodeExecStats
OP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ApiDefs
OP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.KernelDef
OP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NodeDef
OP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpInfo
OP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpList
OP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpPerformance
OP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RemoteTensorHandle
OP_MEMORY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpPerformance
OP_NAME - Static variable in class org.tensorflow.op.audio.AudioSpectrogram: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.audio.DecodeWav: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.audio.EncodeWav: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.audio.Mfcc: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.bitwise.BitwiseAnd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.bitwise.BitwiseOr: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.bitwise.BitwiseXor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.bitwise.Invert: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.bitwise.LeftShift: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.bitwise.RightShift: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.cluster.KMC2ChainInitialization: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.cluster.KmeansPlusPlusInitialization: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.collective.CollectiveAllToAll: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.collective.CollectiveBcastRecv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.collective.CollectiveBcastSend: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.collective.CollectiveGather: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.collective.CollectiveInitializeCommunicator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.collective.CollectivePermute: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.collective.CollectiveReduce: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Abort: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.All: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.AnonymousHashTable: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Any: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.AssertThat: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Assign: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.AssignAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.AssignAddVariableOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.AssignSub: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.AssignSubVariableOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.AssignVariableOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Barrier: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BarrierClose: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BarrierIncompleteSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BarrierInsertMany: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BarrierReadySize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BarrierTakeMany: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Batch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BatchFunction: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BatchToSpace: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BatchToSpaceNd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Bitcast: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BroadcastDynamicShape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BroadcastGradientArgs: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BroadcastTo: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Bucketize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ClipByValue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.CompositeTensorVariantFromComponents: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.CompositeTensorVariantToComponents: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Concat: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Constant
OP_NAME - Static variable in class org.tensorflow.op.core.ConsumeMutexLock: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ControlTrigger: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Copy: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.CopyHost: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.CountUpTo: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.DecodeProto: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.DeepCopy: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.DeleteSessionTensor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.DestroyResourceOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.DestroyTemporaryVariable: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.DeviceIndex: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.DummyMemoryCache: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.DynamicPartition: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.DynamicStitch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.EditDistance: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Empty: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.EmptyTensorList: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.EmptyTensorMap: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.EncodeProto: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.EnsureShape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Enter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Exit: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ExpandDims: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ExtractVolumePatches: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Fill: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Fingerprint: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.For: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Gather: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.GatherNd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.GetElementAtIndex: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.GetOptions: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.GetSessionHandle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.GetSessionTensor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.GuaranteeConst: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.HashTable: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.HistogramFixedWidth: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Identity: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.IdentityN: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ImmutableConst: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.InitializeTable: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.InitializeTableFromTextFile: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.InplaceAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.InplaceSub: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.InplaceUpdate: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.IsVariableInitialized: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.KthOrderStatistic: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.LinSpace: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.LookupTableExport: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.LookupTableFind: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.LookupTableImport: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.LookupTableInsert: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.LookupTableRemove: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.LookupTableSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.LoopCond: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.LowerBound: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MakeUnique: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MapClear: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MapDefun: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MapIncompleteSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MapPeek: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MapSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MapStage: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MapUnstage: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MapUnstageNoKey: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Max: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Merge: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Min: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MirrorPad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MirrorPadGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MlirPassthroughOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MutableDenseHashTable: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MutableHashTable: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MutableHashTableOfTensors: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Mutex: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MutexLock: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.NcclAllReduce: Deprecated.

The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.NcclBroadcast: Deprecated.

The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.NcclReduce: Deprecated.

The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.NextIteration: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.NoOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.OneHot: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.OnesLike: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.OrderedMapClear: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.OrderedMapIncompleteSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.OrderedMapPeek: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.OrderedMapSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.OrderedMapStage: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.OrderedMapUnstage: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.OrderedMapUnstageNoKey: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Pad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ParallelConcat: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ParallelDynamicStitch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Placeholder: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.PlaceholderWithDefault: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Print: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Prod: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.QuantizedReshape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Range: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Rank: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ReadVariableOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Recv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ReduceAll: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ReduceAny: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ReduceMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ReduceMin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ReduceProd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ReduceSum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.RefEnter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.RefExit: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.RefIdentity: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.RefMerge: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.RefNextIteration: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.RefSelect: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.RefSwitch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.RemoteCall: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Reshape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceCountUpTo: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceGather: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceGatherNd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterDiv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterMin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterNdAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterNdMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterNdMin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterNdSub: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterNdUpdate: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterSub: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterUpdate: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceStridedSliceAssign: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Reverse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ReverseSequence: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Roll: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterDiv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterMin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterNd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterNdAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterNdMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterNdMin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterNdNonAliasingAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterNdSub: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterNdUpdate: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterSub: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterUpdate: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Select: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Send: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.SetDiff1d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.SetSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Shape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ShapeN: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Size: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Skipgram: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Slice: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Snapshot: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.SpaceToBatchNd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Split: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.SplitV: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Squeeze: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Stack: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Stage: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StageClear: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StagePeek: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StageSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StatefulCase: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StatefulIf: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StatefulPartitionedCall: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StatefulWhile: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StatelessCase: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StatelessIf: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StatelessPartitionedCall: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StatelessWhile: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StopGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StridedSlice: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StridedSliceAssign: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StridedSliceGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Sum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.SwitchCond: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TemporaryVariable: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArray: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayClose: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayConcat: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayGather: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayGradWithShape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayPack: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayRead: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayScatter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArraySize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArraySplit: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayUnpack: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayWrite: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListConcat: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListConcatLists: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListElementShape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListFromTensor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListGather: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListGetItem: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListLength: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListPopBack: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListPushBack: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListPushBackBatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListReserve: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListResize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListScatter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListScatterIntoExistingList: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListSetItem: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListSplit: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListStack: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorMapErase: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorMapHasKey: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorMapInsert: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorMapLookup: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorMapSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorMapStackKeys: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorScatterNdAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorScatterNdMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorScatterNdMin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorScatterNdSub: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorScatterNdUpdate: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorStridedSliceUpdate: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Tile: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Timestamp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TopKUnique: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TopKWithUnique: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Unbatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.UnbatchGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Unique: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.UniqueWithCounts: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.UnravelIndex: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Unstack: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Unstage: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.UpperBound: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.VarHandleOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Variable: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.VariableShape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.VarIsInitializedOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Where: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ZerosLike: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.AnonymousIterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.AnonymousMemoryCache: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.AnonymousMultiDeviceIterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.AssertCardinalityDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.AssertNextDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.AutoShardDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.BatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.BytesProducedStatsDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.CacheDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ChooseFastestBranchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ChooseFastestDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.CompressElement: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ConcatenateDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.CSVDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DataServiceDatasetV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DatasetCardinality: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DatasetFromGraph: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DatasetToGraph: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DatasetToSingleElement: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DatasetToTfRecord: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DeleteIterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DeleteMemoryCache: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DeleteMultiDeviceIterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DenseToSparseBatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DeserializeIterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DirectedInterleaveDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DummyIterationCounter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.AssertNextDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.AutoShardDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.BytesProducedStatsDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.ChooseFastestDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.CSVDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.DatasetCardinality: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.DatasetToTFRecord: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.DirectedInterleaveDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.IteratorGetDevice: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.LatencyStatsDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.LmdbDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.MapDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.MatchingFilesDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.NonSerializableDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.ParseExampleDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.RandomDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.RebatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.ScanDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.SleepDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.SlidingWindowDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.SqlDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.StatsAggregatorHandle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.StatsAggregatorSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.TakeWhileDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.ThreadPoolDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.ThreadPoolHandle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.UnbatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.UniqueDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.FilterByLastComponentDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.FilterDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.FinalizeDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.FixedLengthRecordDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.FlatMapDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.GeneratorDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.GroupByReducerDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.GroupByWindowDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.IgnoreErrorsDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.InitializeTableFromDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.InterleaveDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.Iterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.IteratorFromStringHandle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.IteratorGetDevice: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.IteratorGetNext: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.IteratorGetNextAsOptional: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.IteratorGetNextSync: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.IteratorToStringHandle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.LatencyStatsDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.LeakyReluGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.LMDBDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.LoadDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MakeIterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MapAndBatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MapDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MatchingFilesDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MaxIntraOpParallelismDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ModelDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MultiDeviceIterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MultiDeviceIteratorInit: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MultiDeviceIteratorToStringHandle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.NonSerializableDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.OneShotIterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.OptimizeDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.OptionalFromValue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.OptionalGetValue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.OptionalHasValue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.OptionalNone: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.OptionsDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.PaddedBatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ParallelBatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ParallelInterleaveDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ParallelMapDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ParseExampleDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.PrefetchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.PrivateThreadPoolDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.RandomDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.RangeDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.RebatchDatasetV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ReduceDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.RegisterDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.RepeatDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SamplingDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SaveDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ScanDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SerializeIterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SetStatsAggregatorDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ShardDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ShuffleDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SkipDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SleepDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SlidingWindowDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SnapshotDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SnapshotDatasetReader: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SnapshotNestedDatasetReader: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SparseTensorSliceDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SqlDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.StatsAggregatorHandle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.StatsAggregatorSetSummaryWriter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.TakeDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.TakeWhileDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.TensorDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.TensorSliceDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.TextLineDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.TfRecordDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ThreadPoolDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ThreadPoolHandle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.UnbatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.UncompressElement: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.UniqueDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.UnwrapDatasetVariant: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.WindowDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.WindowOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.WrapDatasetVariant: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ZipDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.debugging.CheckNumerics: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.debugging.DebugGradientIdentity: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.debugging.DebugGradientRefIdentity: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.debugging.DebugIdentity: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.debugging.DebugNanCount: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.debugging.DebugNumericsSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.distribute.NcclAllReduce: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.distribute.NcclBroadcast: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.distribute.NcclReduce: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.dtypes.AsString: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.dtypes.Cast: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.dtypes.Complex: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.dtypes.ToBool: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.BoostedTreesAggregateStats: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.BoostedTreesBucketize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplit: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplitV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.BoostedTreesCalculateBestGainsPerFeature: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.BoostedTreesCenterBias: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.BoostedTreesCreateEnsemble: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.BoostedTreesCreateQuantileStreamResource: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.BoostedTreesDeserializeEnsemble: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.BoostedTreesEnsembleResourceHandleOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.BoostedTreesExampleDebugOutputs: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.BoostedTreesFlushQuantileSummaries: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.BoostedTreesGetEnsembleStates: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.BoostedTreesMakeQuantileSummaries: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.BoostedTreesMakeStatsSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.BoostedTreesPredict: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceAddSummaries: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceDeserialize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceFlush: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceGetBucketBoundaries: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceHandleOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.BoostedTreesSerializeEnsemble: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.BoostedTreesSparseAggregateStats: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.BoostedTreesSparseCalculateBestFeatureSplit: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.BoostedTreesTrainingPredict: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsemble: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsembleV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.IsBoostedTreesEnsembleInitialized: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.estimator.IsBoostedTreesQuantileStreamResourceInitialized: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.AdjustContrast: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.AdjustHue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.AdjustSaturation: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.CombinedNonMaxSuppression: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.CropAndResize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.CropAndResizeGradBoxes: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.CropAndResizeGradImage: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.DecodeAndCropJpeg: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.DecodeBmp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.DecodeGif: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.DecodeImage: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.DecodeJpeg: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.DecodePng: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.DrawBoundingBoxes: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.EncodeJpeg: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.EncodeJpegVariableQuality: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.EncodePng: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ExtractGlimpse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ExtractImagePatches: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ExtractJpegShape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.GenerateBoundingBoxProposals: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.HsvToRgb: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ImageProjectiveTransformV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ImageProjectiveTransformV3: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.NearestNeighbors: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.NonMaxSuppression: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.QuantizedResizeBilinear: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.RandomCrop: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ResizeArea: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ResizeBicubic: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ResizeBicubicGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ResizeBilinear: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ResizeBilinearGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ResizeNearestNeighbor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ResizeNearestNeighborGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.RgbToHsv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.SampleDistortedBoundingBox: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ScaleAndTranslate: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ScaleAndTranslateGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.DecodeBase64: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.DecodeCompressed: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.DecodeCsv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.DecodeJsonExample: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.DecodePaddedRaw: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.DecodeRaw: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.DeserializeManySparse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.EncodeBase64: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.FifoQueue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.FixedLengthRecordReader: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.IdentityReader: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.LmdbReader: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.MatchingFiles: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.PaddingFifoQueue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ParseExample: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ParseSequenceExample: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ParseSingleExample: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ParseSingleSequenceExample: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ParseTensor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.PriorityQueue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.QueueClose: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.QueueDequeue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.QueueDequeueMany: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.QueueDequeueUpTo: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.QueueEnqueue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.QueueEnqueueMany: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.QueueIsClosed: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.QueueSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.RandomShuffleQueue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ReaderNumRecordsProduced: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ReaderNumWorkUnitsCompleted: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ReaderRead: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ReaderReadUpTo: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ReaderReset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ReaderRestoreState: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ReaderSerializeState: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ReadFile: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.SerializeManySparse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.SerializeSparse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.SerializeTensor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ShardedFilename: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ShardedFilespec: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.TextLineReader: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.TfRecordReader: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.WholeFileReader: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.WriteFile: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BandedTriangularSolve: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BandPart: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchCholesky: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchCholeskyGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchMatrixBandPart: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchMatrixDeterminant: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchMatrixDiag: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchMatrixDiagPart: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchMatrixInverse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchMatrixSetDiag: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchMatrixSolve: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchMatrixSolveLs: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchSelfAdjointEig: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchSvd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Cholesky: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.CholeskyGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.ConjugateTranspose: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Cross: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Det: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Eig: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Einsum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.EuclideanNorm: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Inv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.LoadAndRemapMatrix: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.LogMatrixDeterminant: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Lu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.MatMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.MatrixDiag: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.MatrixDiagPart: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.MatrixDiagPartV3: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.MatrixDiagV3: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.MatrixLogarithm: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.MatrixSetDiag: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.MatrixSolveLs: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Qr: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.QuantizedMatMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.SelfAdjointEig: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Solve: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToDense: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToSparseTensor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.DenseToCSRSparseMatrix: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixNNZ: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixOrderingAMD: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmaxGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseCholesky: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixZeros: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Sqrtm: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Svd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.TensorDiag: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.TensorDiagPart: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Transpose: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.TriangularSolve: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.TridiagonalMatMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.TridiagonalSolve: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Abs: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.AccumulateN: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Acos: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Acosh: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Add: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.AddN: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Angle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.ApproximateEqual: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.ArgMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.ArgMin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Asin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Asinh: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Atan: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Atan2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Atanh: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.BesselI0: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.BesselI0e: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.BesselI1: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.BesselI1e: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Betainc: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Bincount: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Ceil: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.ComplexAbs: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Conj: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Cos: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Cosh: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Cumprod: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Cumsum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.CumulativeLogsumexp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.DenseBincount: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Digamma: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Div: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.DivNoNan: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Equal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Erf: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Erfc: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.erfinv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Exp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Expm1: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Fact: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Floor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.FloorDiv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.FloorMod: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Greater: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.GreaterEqual: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Igamma: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Igammac: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.IgammaGradA: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Imag: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.InvertPermutation: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.IsFinite: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.IsInf: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.IsNan: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Less: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.LessEqual: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Lgamma: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Log: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Log1p: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.LogicalAnd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.LogicalNot: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.LogicalOr: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Maximum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Mean: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Minimum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Mod: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Mul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.MulNoNan: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Ndtri: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Neg: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.NextAfter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.NotEqual: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Polygamma: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.PopulationCount: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Pow: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.QuantizedAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.QuantizedMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Real: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.RealDiv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Reciprocal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.ReciprocalGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.RequantizationRangePerChannel: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.RequantizePerChannel: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Rint: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Round: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Rsqrt: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.RsqrtGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SegmentMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SegmentMean: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SegmentMin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SegmentProd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SegmentSum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Sigmoid: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SigmoidGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Sign: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Sin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Sinh: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SobolSample: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Softplus: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SoftplusGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.BesselJ0: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.BesselJ1: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.BesselK0: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.BesselK0e: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.BesselK1: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.BesselK1e: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.BesselY0: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.BesselY1: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.Dawsn: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.Expint: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.FresnelCos: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.FresnelSin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.Spence: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Sqrt: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SqrtGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Square: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SquaredDifference: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Sub: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Tan: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Tanh: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.TanhGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.TruncateDiv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.TruncateMod: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.UnsortedSegmentMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.UnsortedSegmentMin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.UnsortedSegmentProd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.UnsortedSegmentSum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Xdivy: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Xlog1py: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Xlogy: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Zeta: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.AvgPool: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.AvgPool3d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.AvgPool3dGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.AvgPoolGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.BiasAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.BiasAddGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.BlockLSTM: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.BlockLSTMGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.ComputeAccidentalHits: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Conv2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Conv2dBackpropFilter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Conv2dBackpropInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Conv3d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Conv3dBackpropFilter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Conv3dBackpropInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.CtcBeamSearchDecoder: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.CtcGreedyDecoder: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.CtcLoss: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.CTCLossV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.CudnnRNN: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.CudnnRNNBackprop: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.CudnnRnnParamsSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.DataFormatDimMap: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.DataFormatVecPermute: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.DepthToSpace: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.DepthwiseConv2dNative: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Dilation2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Dilation2dBackpropFilter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Dilation2dBackpropInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Elu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.EluGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.FractionalAvgPool: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.FractionalAvgPoolGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.FractionalMaxPool: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.FractionalMaxPoolGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.FusedBatchNorm: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.FusedBatchNormGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.FusedPadConv2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.GRUBlockCell: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.GRUBlockCellGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.InTopK: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.InvGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.IsotonicRegression: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.L2Loss: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.LeakyRelu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.LocalResponseNormalization: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.LocalResponseNormalizationGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.LogSoftmax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.LSTMBlockCell: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.LSTMBlockCellGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.MaxPool: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.MaxPool3d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.MaxPool3dGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.MaxPool3dGradGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.MaxPoolGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.MaxPoolGradGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.MaxPoolWithArgmax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.NthElement: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedAvgPool: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedBiasAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedInstanceNorm: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedMaxPool: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedRelu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedRelu6: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedReluX: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Relu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Relu6: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Relu6Grad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.ReluGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Selu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.SeluGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Softmax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Softsign: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.SoftsignGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.SpaceToBatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.SpaceToDepth: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.TopK: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.Dequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.Quantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.QuantizeAndDequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.QuantizedConcat: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.RequantizationRange: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.Requantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedBincount: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedCountSparseOutput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedCross: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedGather: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedRange: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedTensorFromVariant: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedTensorToSparse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedTensorToTensor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedTensorToVariant: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedTensorToVariantGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.AllCandidateSampler: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.AnonymousRandomSeedGenerator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.AnonymousSeedGenerator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.DeleteRandomSeedGenerator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.DeleteSeedGenerator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.DummySeedGenerator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.LogUniformCandidateSampler: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.Multinomial: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.NonDeterministicInts: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RandomGamma: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RandomGammaGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RandomPoisson: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RandomShuffle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RandomStandardNormal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RandomUniform: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RandomUniformInt: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RecordInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RngReadAndSkip: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RngSkip: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatefulRandomBinomial: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatefulStandardNormal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatefulTruncatedNormal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatefulUniform: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatefulUniformFullInt: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatefulUniformInt: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessMultinomial: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomBinomial: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomGamma: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomGetAlg: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomGetKeyCounter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomGetKeyCounterAlg: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomNormal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomNormalV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomPoisson: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomUniform: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomUniformFullInt: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomUniformInt: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomUniformIntV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomUniformV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessTruncatedNormal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessTruncatedNormalV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.TruncatedNormal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.UniformCandidateSampler: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscAbs: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscBinaryArithmetic: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscBinaryComparison: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscBitcast: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscBroadcast: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscCast: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscCeil: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscCholesky: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscConcat: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscCondition: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscConv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscCos: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscDiv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscDot: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscExp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscFft: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscFloor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscGather: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscImag: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscIsFinite: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscLog: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscLogicalAnd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscLogicalNot: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscLogicalOr: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscMin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscNeg: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscPad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscPool: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscPow: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscRandomUniform: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscReal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscReduce: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscRem: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscReshape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscReverse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscScatter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscShape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscSign: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscSlice: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscSort: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscSqueeze: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscSub: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscTranspose: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscTriangularSolve: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscUnary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.risc.RiscWhile: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.BatchFft: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.BatchFft2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.BatchFft3d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.BatchIfft: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.BatchIfft2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.BatchIfft3d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Fft: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Fft2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Fft3d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Ifft: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Ifft2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Ifft3d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Irfft: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Irfft2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Irfft3d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Rfft: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Rfft2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Rfft3d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.AddManySparseToTensorsMap: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.AddSparseToTensorsMap: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.DenseCountSparseOutput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.DenseToDenseSetOperation: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.DenseToSparseSetOperation: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.DeserializeSparse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseAddGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseBincount: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseConcat: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseConditionalAccumulator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseCountSparseOutput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseCross: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseCrossHashed: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseDenseCwiseAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseDenseCwiseDiv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseDenseCwiseMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseFillEmptyRows: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseMatMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseReduceMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseReduceMaxSparse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseReduceSum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseReduceSumSparse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseReorder: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseReshape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSegmentMean: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSegmentMeanGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSegmentSqrtN: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSegmentSum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSegmentSumGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSlice: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSliceGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSoftmax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSparseMaximum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSparseMinimum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSplit: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseTensorDenseAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseTensorDenseMatMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseToDense: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.Join: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.Lower: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.ReduceJoin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.RegexFullMatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.RegexReplace: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.StaticRegexFullMatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.StaticRegexReplace: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.StringFormat: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.StringLength: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.StringNGrams: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.StringSplit: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.Strip: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.Substr: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.ToHashBucket: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.ToHashBucketFast: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.ToHashBucketStrong: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.ToNumber: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.UnicodeDecode: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.UnicodeEncode: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.UnicodeScript: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.UnicodeTranscode: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.UnsortedSegmentJoin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.Upper: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.AudioSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.CloseSummaryWriter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.CreateSummaryDbWriter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.CreateSummaryFileWriter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.FlushSummaryWriter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.HistogramSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.ImageSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.ImportEvent: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.MergeSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.ScalarSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.StatsAggregatorSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.SummaryWriter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.TensorSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.WriteAudioSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.WriteGraphSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.WriteHistogramSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.WriteImageSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.WriteRawProtoSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.WriteScalarSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.WriteSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.AllToAll: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.CompilationResult: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.Compile: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.CompileSucceededAssert: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ConfigureDistributedTPU: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ConfigureTPUEmbedding: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.CrossReplicaSum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.EmbeddingActivations: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingIntegerBatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.Execute: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.InfeedDequeue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.InfeedDequeueTuple: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.InfeedEnqueue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.InfeedEnqueuePrelinearizedBuffer: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.InfeedEnqueueTuple: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.IsTPUEmbeddingInitialized: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.OrdinalSelector: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.OutfeedDequeue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.OutfeedDequeueTuple: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.OutfeedDequeueTupleV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.OutfeedDequeueV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.OutfeedEnqueue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.OutfeedEnqueueTuple: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.PartitionedCall: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.PartitionedInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.PartitionedOutput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.Prelinearize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.PrelinearizeTuple: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RecvTPUEmbeddingActivations: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ReplicatedInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ReplicatedOutput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ReplicateMetadata: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.SendTPUEmbeddingGradients: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ShutdownDistributedTPU: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.TPUCompilationResult: Deprecated.

The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.TPUEmbeddingActivations: Deprecated.

The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.TPUReplicatedInput: Deprecated.

The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.TPUReplicatedOutput: Deprecated.

The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.TPUReshardVariables: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.WorkerHeartbeat: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.AccumulatorApplyGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.AccumulatorNumAccumulated: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.AccumulatorSetGlobalStep: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.AccumulatorTakeGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyAdadelta: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyAdagrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyAdagradDa: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyAdagradV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyAdam: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyAdaMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyAddSign: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyCenteredRmsProp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyFtrl: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyGradientDescent: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyMomentum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyPowerSign: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyProximalAdagrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyProximalGradientDescent: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyRmsProp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.BatchMatMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ComputeBatchSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ConditionalAccumulator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.GenerateVocabRemapping: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.MergeV2Checkpoints: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.NegTrain: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.PreventGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceAccumulatorApplyGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceAccumulatorNumAccumulated: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceAccumulatorSetGlobalStep: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceAccumulatorTakeGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyAdadelta: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyAdagrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyAdagradDa: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyAdam: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyAdaMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyAddSign: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyFtrl: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyGradientDescent: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyKerasMomentum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyMomentum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyPowerSign: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyProximalAdagrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyRmsProp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceConditionalAccumulator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.Restore: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.RestoreSlice: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.Save: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SaveSlices: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SdcaFprint: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SdcaOptimizer: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SdcaShrinkL1: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SparseApplyAdadelta: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SparseApplyAdagrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SparseApplyAdagradDa: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SparseApplyFtrl: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SparseApplyMomentum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SparseApplyRmsProp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SymbolicGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.TileGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.AllReduce: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.AssignVariableConcatND: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.BroadcastHelper: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.ClusterOutput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.ConcatND: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.Conv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.Dequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.Dot: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.DynamicSlice: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.DynamicUpdateSlice: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.Einsum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.Gather: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.If: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.KeyValueSort: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.Pad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.ReadVariableSplitND: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.Recv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.Reduce: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.ReduceScatter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.ReduceWindow: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.RemoveDynamicDimensionSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.ReplicaId: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.RngBitGenerator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.Scatter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.SelectAndScatter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.SelfAdjointEig: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.Send: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.SetDynamicDimensionSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.Sharding: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.Sort: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.SplitND: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.SpmdFullToShardShape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.SpmdShardToFullShape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.Svd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.While: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaHostCompute: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaLaunch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaRecvFromHost: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSendToHost: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSetBound: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaVariadicReduce: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaVariadicSort: The name of this op, as known by TensorFlow core engine
OP_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.GraphExecutionTrace
OP_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.GraphOpCreation
OP_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.MemChunk
OP_PERFORMANCE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpPerformanceList
OP_START_REL_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NodeExecStats
OP_START_REL_NANOS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NodeExecStats
OP_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.Execution
OP_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.GraphOpCreation
opBuilder(String, String, Scope) - Method in class org.tensorflow.EagerSession
opBuilder(String, String, Scope) - Method in interface org.tensorflow.ExecutionEnvironment: Returns a builder to create a new Operation.
opBuilder(String, String, Scope) - Method in class org.tensorflow.Graph: Returns a builder to add Operations to the Graph.
opBuilder(String, String) - Method in interface org.tensorflow.op.Scope: Returns a builder to create a new Operation.
OpDef - Class in org.tensorflow.proto.framework: Defines an operation.
OpDef.ArgDef - Class in org.tensorflow.proto.framework: For describing inputs and outputs.
OpDef.ArgDef.Builder - Class in org.tensorflow.proto.framework: For describing inputs and outputs.
OpDef.ArgDefOrBuilder - Interface in org.tensorflow.proto.framework
OpDef.AttrDef - Class in org.tensorflow.proto.framework: Description of the graph-construction-time configuration of this Op.
OpDef.AttrDef.Builder - Class in org.tensorflow.proto.framework: Description of the graph-construction-time configuration of this Op.
OpDef.AttrDefOrBuilder - Interface in org.tensorflow.proto.framework
OpDef.Builder - Class in org.tensorflow.proto.framework: Defines an operation.
OpDefOrBuilder - Interface in org.tensorflow.proto.framework
OpDefProtos - Class in org.tensorflow.proto.framework
OpDeprecation - Class in org.tensorflow.proto.framework: Information about version-dependent deprecation of an op
OpDeprecation.Builder - Class in org.tensorflow.proto.framework: Information about version-dependent deprecation of an op
OpDeprecationOrBuilder - Interface in org.tensorflow.proto.framework
oper() - Method in class org.tensorflow.internal.c_api.TF_Input
oper(TF_Operation) - Method in class org.tensorflow.internal.c_api.TF_Input
oper() - Method in class org.tensorflow.internal.c_api.TF_Output
oper(TF_Operation) - Method in class org.tensorflow.internal.c_api.TF_Output
operand - Variable in class org.tensorflow.op.xla.Gather.Inputs: The array we're gathering from.
operand - Variable in class org.tensorflow.op.xla.Scatter.Inputs: Array to be scattered into.
operand - Variable in class org.tensorflow.op.xla.SelectAndScatter.Inputs: the input tensor
Operand<T extends TType> - Interface in org.tensorflow: Interface implemented by operands of a TensorFlow operation.
Operands - Class in org.tensorflow.op: Utilities for manipulating operand related types and lists.
operation(String) - Method in class org.tensorflow.Graph: Returns the operation (node in the Graph) with the provided name.
operation - Variable in class org.tensorflow.op.RawOp
Operation - Interface in org.tensorflow: Performs computation on Tensors.
OPERATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MemoryLogRawAllocation
OPERATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
OPERATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedConstant
OPERATION_TIMEOUT_IN_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto
OperationAttributeInspector - Interface in org.tensorflow: Helper type for attribute getters, so we don't clutter the operation classes too much.
OperationBuilder - Interface in org.tensorflow: A builder for Operations.
operationOrThrow(String) - Method in class org.tensorflow.Graph: Returns the operation (node in the Graph) with the provided name, or throws IllegalArgumentException if there isn't one.
operations() - Method in class org.tensorflow.Graph: Iterator over all the Operations in the graph.
Operator - Annotation Type in org.tensorflow.op.annotation: Annotation used by classes to make TensorFlow operations conveniently accessible via org.tensorflow.op.Ops or one of its groups.
OpInfo - Class in org.tensorflow.proto.framework: Description of an operation as well as the parameters expected to impact its performance.
OpInfo.Builder - Class in org.tensorflow.proto.framework: Description of an operation as well as the parameters expected to impact its performance.
OpInfo.TensorProperties - Class in org.tensorflow.proto.framework: Input data types, shapes and values if known.
OpInfo.TensorProperties.Builder - Class in org.tensorflow.proto.framework: Input data types, shapes and values if known.
OpInfo.TensorPropertiesOrBuilder - Interface in org.tensorflow.proto.framework
OpInfoOrBuilder - Interface in org.tensorflow.proto.framework
OpInputsMetadata - Annotation Type in org.tensorflow.op.annotation: An annotation to provide metadata about an op inputs accessor class.
OpList - Class in org.tensorflow.proto.framework: A collection of OpDefs
OpList.Builder - Class in org.tensorflow.proto.framework: A collection of OpDefs
OpListOrBuilder - Interface in org.tensorflow.proto.framework
OpMetadata - Annotation Type in org.tensorflow.op.annotation: An annotation to provide metadata about an op.
opName - Variable in class org.tensorflow.op.debugging.DebugIdentity.Inputs: Optional.
opName(String) - Static method in class org.tensorflow.op.debugging.DebugIdentity: Sets the opName option.
opName(String) - Method in class org.tensorflow.op.debugging.DebugIdentity.Options: Sets the opName option.
OpPerformance - Class in org.tensorflow.proto.framework: Performance data for tensorflow operations
OpPerformance.Builder - Class in org.tensorflow.proto.framework: Performance data for tensorflow operations
OpPerformance.ExecutionTimeCase - Enum in org.tensorflow.proto.framework
OpPerformance.OpMemory - Class in org.tensorflow.proto.framework: Memory usage data for a tensorflow operation.
OpPerformance.OpMemory.Builder - Class in org.tensorflow.proto.framework: Memory usage data for a tensorflow operation.
OpPerformance.OpMemoryOrBuilder - Interface in org.tensorflow.proto.framework
OpPerformanceDataProtos - Class in org.tensorflow.proto.framework
OpPerformanceList - Class in org.tensorflow.proto.framework: A collection of OpPerformance data points.
OpPerformanceList.Builder - Class in org.tensorflow.proto.framework: A collection of OpPerformance data points.
OpPerformanceListOrBuilder - Interface in org.tensorflow.proto.framework
OpPerformanceOrBuilder - Interface in org.tensorflow.proto.framework
ops() - Method in class org.tensorflow.op.AudioOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.BitwiseOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.DataOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.DtypesOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.ImageOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.IoOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.LinalgOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.MathOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.NnOps: Get the parent Ops object.
Ops - Class in org.tensorflow.op: An API for building operations as Ops
ops() - Method in class org.tensorflow.op.QuantizationOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.RaggedOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.RandomOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.ShapeOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.SignalOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.SparseOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.StringsOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.SummaryOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.TpuOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.TrainOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.XlaOps: Get the parent Ops object.
OpScope - Class in org.tensorflow.op: A Java implementation of Scope.
OpScope(ExecutionEnvironment) - Constructor for class org.tensorflow.op.OpScope: Create a new top-level scope.
OPT_LEVEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OptimizerOptions
OPTIMIZATION_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.Options
OPTIMIZATION_PARAMS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto
optimizationConfigs - Variable in class org.tensorflow.op.data.OptimizeDataset.Inputs: The optimizationConfigs attribute
optimizationConfigs(List<String>) - Static method in class org.tensorflow.op.data.OptimizeDataset: Sets the optimizationConfigs option.
optimizationConfigs(String...) - Static method in class org.tensorflow.op.data.OptimizeDataset: Sets the optimizationConfigs option.
optimizationConfigs(List<String>) - Method in class org.tensorflow.op.data.OptimizeDataset.Options: Sets the optimizationConfigs option.
optimizationConfigs(String...) - Method in class org.tensorflow.op.data.OptimizeDataset.Options: Sets the optimizationConfigs option.
OptimizationOptions - Class in org.tensorflow.proto.data: next: 18
OptimizationOptions.Builder - Class in org.tensorflow.proto.data: next: 18
OptimizationOptions.OptionalApplyDefaultOptimizationsCase - Enum in org.tensorflow.proto.data
OptimizationOptions.OptionalFilterFusionCase - Enum in org.tensorflow.proto.data
OptimizationOptions.OptionalMapAndBatchFusionCase - Enum in org.tensorflow.proto.data
OptimizationOptions.OptionalMapAndFilterFusionCase - Enum in org.tensorflow.proto.data
OptimizationOptions.OptionalMapFusionCase - Enum in org.tensorflow.proto.data
OptimizationOptions.OptionalMapParallelizationCase - Enum in org.tensorflow.proto.data
OptimizationOptions.OptionalNoopEliminationCase - Enum in org.tensorflow.proto.data
OptimizationOptions.OptionalParallelBatchCase - Enum in org.tensorflow.proto.data
OptimizationOptions.OptionalShuffleAndRepeatFusionCase - Enum in org.tensorflow.proto.data
OptimizationOptionsOrBuilder - Interface in org.tensorflow.proto.data
optimizationsDefault - Variable in class org.tensorflow.op.data.OptimizeDataset.Inputs: A tf.string vector tf.Tensor identifying optimizations by default.
optimizationsDisabled - Variable in class org.tensorflow.op.data.OptimizeDataset.Inputs: A tf.string vector tf.Tensor identifying user disabled optimizations.
optimizationsEnabled - Variable in class org.tensorflow.op.data.OptimizeDataset.Inputs: A tf.string vector tf.Tensor identifying user enabled optimizations.
OPTIMIZE_FOR_STATIC_GRAPH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto.Experimental
OptimizeDataset - Class in org.tensorflow.op.data: Creates a dataset by applying related optimizations to input_dataset.
OptimizeDataset(Operation) - Constructor for class org.tensorflow.op.data.OptimizeDataset
optimizeDataset(Operand<? extends TType>, Operand<TString>, Operand<TString>, Operand<TString>, List<Class<? extends TType>>, List<Shape>, OptimizeDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset by applying related optimizations to input_dataset.
OptimizeDataset.Inputs - Class in org.tensorflow.op.data
OptimizeDataset.Options - Class in org.tensorflow.op.data: Optional attributes for OptimizeDataset
OPTIMIZER_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphOptions
OptimizerOptions - Class in org.tensorflow.proto.framework: Options passed to the graph optimizer
OptimizerOptions.Builder - Class in org.tensorflow.proto.framework: Options passed to the graph optimizer
OptimizerOptions.GlobalJitLevel - Enum in org.tensorflow.proto.framework: Control the use of the compiler/jit.
OptimizerOptions.Level - Enum in org.tensorflow.proto.framework: Optimization level
OptimizerOptionsOrBuilder - Interface in org.tensorflow.proto.framework
OPTIMIZERS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
optimizeSize - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: If True, spend CPU/RAM to reduce size with no quality change.
optimizeSize(Boolean) - Static method in class org.tensorflow.op.image.EncodeJpeg: Sets the optimizeSize option.
optimizeSize(Boolean) - Method in class org.tensorflow.op.image.EncodeJpeg.Options: Sets the optimizeSize option.
optional() - Method in class org.tensorflow.op.data.IteratorGetNextAsOptional: Gets optional.
optional() - Method in class org.tensorflow.op.data.OptionalFromValue: Gets optional.
optional - Variable in class org.tensorflow.op.data.OptionalGetValue.Inputs: The optional input
optional - Variable in class org.tensorflow.op.data.OptionalHasValue.Inputs: The optional input
optional() - Method in class org.tensorflow.op.data.OptionalNone: Gets optional.
OPTIONAL_RESTORE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
OPTIONAL_SPEC_VALUE - Static variable in enum org.tensorflow.proto.framework.TypeSpecProto.TypeSpecClass: tf.OptionalSpec
OptionalFromValue - Class in org.tensorflow.op.data: Constructs an Optional variant from a tuple of tensors.
OptionalFromValue(Operation) - Constructor for class org.tensorflow.op.data.OptionalFromValue
optionalFromValue(Iterable<Operand<?>>) - Method in class org.tensorflow.op.DataOps: Constructs an Optional variant from a tuple of tensors.
OptionalFromValue.Inputs - Class in org.tensorflow.op.data
OptionalGetValue - Class in org.tensorflow.op.data: Returns the value stored in an Optional variant or raises an error if none exists.
OptionalGetValue(Operation) - Constructor for class org.tensorflow.op.data.OptionalGetValue
optionalGetValue(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Returns the value stored in an Optional variant or raises an error if none exists.
OptionalGetValue.Inputs - Class in org.tensorflow.op.data
OptionalHasValue - Class in org.tensorflow.op.data: Returns true if and only if the given Optional variant has a value.
OptionalHasValue(Operation) - Constructor for class org.tensorflow.op.data.OptionalHasValue
optionalHasValue(Operand<? extends TType>) - Method in class org.tensorflow.op.DataOps: Returns true if and only if the given Optional variant has a value.
OptionalHasValue.Inputs - Class in org.tensorflow.op.data
OptionalNone - Class in org.tensorflow.op.data: Creates an Optional variant with no value.
OptionalNone(Operation) - Constructor for class org.tensorflow.op.data.OptionalNone
optionalNone() - Method in class org.tensorflow.op.DataOps: Creates an Optional variant with no value.
OptionalNone.Inputs - Class in org.tensorflow.op.data
options() - Static method in class org.tensorflow.EagerSession: Returns an object that configures and builds a EagerSession with custom options.
Options - Class in org.tensorflow.proto.data: Message stored with Dataset objects to control how datasets are processed and optimized.
Options.Builder - Class in org.tensorflow.proto.data: Message stored with Dataset objects to control how datasets are processed and optimized.
Options.OptionalDeterministicCase - Enum in org.tensorflow.proto.data
Options.OptionalExternalStatePolicyCase - Enum in org.tensorflow.proto.data
Options.OptionalSlackCase - Enum in org.tensorflow.proto.data
OptionsDataset - Class in org.tensorflow.op.data: Creates a dataset by attaching tf.data.Options to input_dataset.
OptionsDataset(Operation) - Constructor for class org.tensorflow.op.data.OptionsDataset
optionsDataset(Operand<? extends TType>, String, List<Class<? extends TType>>, List<Shape>, OptionsDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset by attaching tf.data.Options to input_dataset.
OptionsDataset.Inputs - Class in org.tensorflow.op.data
OptionsDataset.Options - Class in org.tensorflow.op.data: Optional attributes for OptionsDataset
OptionsOrBuilder - Interface in org.tensorflow.proto.data
opts - Variable in class org.tensorflow.internal.c_api.AbstractTF_Session
opts - Variable in class org.tensorflow.internal.c_api.AbstractTFE_Context: References to prevent deallocation.
OPTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.BuildConfiguration
opType - Variable in class org.tensorflow.op.risc.RiscBinaryArithmetic.Inputs: The opType attribute
opType - Variable in class org.tensorflow.op.risc.RiscBinaryComparison.Inputs: The opType attribute
opType - Variable in class org.tensorflow.op.risc.RiscUnary.Inputs: The opType attribute
OrderedMapClear - Class in org.tensorflow.op.core: Op removes all elements in the underlying container.
OrderedMapClear(Operation) - Constructor for class org.tensorflow.op.core.OrderedMapClear
orderedMapClear(List<Class<? extends TType>>, OrderedMapClear.Options...) - Method in class org.tensorflow.op.Ops: Op removes all elements in the underlying container.
OrderedMapClear.Inputs - Class in org.tensorflow.op.core
OrderedMapClear.Options - Class in org.tensorflow.op.core: Optional attributes for OrderedMapClear
OrderedMapIncompleteSize - Class in org.tensorflow.op.core: Op returns the number of incomplete elements in the underlying container.
OrderedMapIncompleteSize(Operation) - Constructor for class org.tensorflow.op.core.OrderedMapIncompleteSize
orderedMapIncompleteSize(List<Class<? extends TType>>, OrderedMapIncompleteSize.Options...) - Method in class org.tensorflow.op.Ops: Op returns the number of incomplete elements in the underlying container.
OrderedMapIncompleteSize.Inputs - Class in org.tensorflow.op.core
OrderedMapIncompleteSize.Options - Class in org.tensorflow.op.core: Optional attributes for OrderedMapIncompleteSize
OrderedMapPeek - Class in org.tensorflow.op.core: Op peeks at the values at the specified key.
OrderedMapPeek(Operation) - Constructor for class org.tensorflow.op.core.OrderedMapPeek
orderedMapPeek(Operand<TInt64>, Operand<TInt32>, List<Class<? extends TType>>, OrderedMapPeek.Options...) - Method in class org.tensorflow.op.Ops: Op peeks at the values at the specified key.
OrderedMapPeek.Inputs - Class in org.tensorflow.op.core
OrderedMapPeek.Options - Class in org.tensorflow.op.core: Optional attributes for OrderedMapPeek
OrderedMapSize - Class in org.tensorflow.op.core: Op returns the number of elements in the underlying container.
OrderedMapSize(Operation) - Constructor for class org.tensorflow.op.core.OrderedMapSize
orderedMapSize(List<Class<? extends TType>>, OrderedMapSize.Options...) - Method in class org.tensorflow.op.Ops: Op returns the number of elements in the underlying container.
OrderedMapSize.Inputs - Class in org.tensorflow.op.core
OrderedMapSize.Options - Class in org.tensorflow.op.core: Optional attributes for OrderedMapSize
OrderedMapStage - Class in org.tensorflow.op.core: Stage (key, values) in the underlying container which behaves like a ordered associative container.
OrderedMapStage(Operation) - Constructor for class org.tensorflow.op.core.OrderedMapStage
orderedMapStage(Operand<TInt64>, Operand<TInt32>, Iterable<Operand<?>>, List<Class<? extends TType>>, OrderedMapStage.Options...) - Method in class org.tensorflow.op.Ops: Stage (key, values) in the underlying container which behaves like a ordered associative container.
OrderedMapStage.Inputs - Class in org.tensorflow.op.core
OrderedMapStage.Options - Class in org.tensorflow.op.core: Optional attributes for OrderedMapStage
OrderedMapUnstage - Class in org.tensorflow.op.core: Op removes and returns the values associated with the key from the underlying container.
OrderedMapUnstage(Operation) - Constructor for class org.tensorflow.op.core.OrderedMapUnstage
orderedMapUnstage(Operand<TInt64>, Operand<TInt32>, List<Class<? extends TType>>, OrderedMapUnstage.Options...) - Method in class org.tensorflow.op.Ops: Op removes and returns the values associated with the key from the underlying container.
OrderedMapUnstage.Inputs - Class in org.tensorflow.op.core
OrderedMapUnstage.Options - Class in org.tensorflow.op.core: Optional attributes for OrderedMapUnstage
OrderedMapUnstageNoKey - Class in org.tensorflow.op.core: Op removes and returns the (key, value) element with the smallest key from the underlying container.
OrderedMapUnstageNoKey(Operation) - Constructor for class org.tensorflow.op.core.OrderedMapUnstageNoKey
orderedMapUnstageNoKey(Operand<TInt32>, List<Class<? extends TType>>, OrderedMapUnstageNoKey.Options...) - Method in class org.tensorflow.op.Ops: Op removes and returns the (key, value) element with the smallest key from the underlying container.
OrderedMapUnstageNoKey.Inputs - Class in org.tensorflow.op.core
OrderedMapUnstageNoKey.Options - Class in org.tensorflow.op.core: Optional attributes for OrderedMapUnstageNoKey
orderingToken - Variable in class org.tensorflow.op.collective.CollectiveGather.Inputs: The orderingToken input
OrdinalSelector - Class in org.tensorflow.op.tpu: A TPU core selector Op.
OrdinalSelector(Operation) - Constructor for class org.tensorflow.op.tpu.OrdinalSelector
OrdinalSelector.Inputs - Class in org.tensorflow.op.tpu
org.tensorflow - package org.tensorflow: Defines classes to build, save, load and execute TensorFlow models.
org.tensorflow.exceptions - package org.tensorflow.exceptions
org.tensorflow.internal - package org.tensorflow.internal
org.tensorflow.internal.buffer - package org.tensorflow.internal.buffer
org.tensorflow.internal.c_api - package org.tensorflow.internal.c_api
org.tensorflow.internal.c_api.global - package org.tensorflow.internal.c_api.global
org.tensorflow.internal.c_api.presets - package org.tensorflow.internal.c_api.presets
org.tensorflow.internal.types - package org.tensorflow.internal.types
org.tensorflow.internal.types.registry - package org.tensorflow.internal.types.registry
org.tensorflow.op - package org.tensorflow.op
org.tensorflow.op.annotation - package org.tensorflow.op.annotation
org.tensorflow.op.audio - package org.tensorflow.op.audio
org.tensorflow.op.bitwise - package org.tensorflow.op.bitwise
org.tensorflow.op.cluster - package org.tensorflow.op.cluster
org.tensorflow.op.collective - package org.tensorflow.op.collective
org.tensorflow.op.core - package org.tensorflow.op.core
org.tensorflow.op.data - package org.tensorflow.op.data
org.tensorflow.op.data.experimental - package org.tensorflow.op.data.experimental
org.tensorflow.op.debugging - package org.tensorflow.op.debugging
org.tensorflow.op.distribute - package org.tensorflow.op.distribute
org.tensorflow.op.dtypes - package org.tensorflow.op.dtypes
org.tensorflow.op.estimator - package org.tensorflow.op.estimator
org.tensorflow.op.image - package org.tensorflow.op.image
org.tensorflow.op.io - package org.tensorflow.op.io
org.tensorflow.op.linalg - package org.tensorflow.op.linalg
org.tensorflow.op.linalg.sparse - package org.tensorflow.op.linalg.sparse
org.tensorflow.op.math - package org.tensorflow.op.math
org.tensorflow.op.math.special - package org.tensorflow.op.math.special
org.tensorflow.op.nn - package org.tensorflow.op.nn
org.tensorflow.op.quantization - package org.tensorflow.op.quantization
org.tensorflow.op.ragged - package org.tensorflow.op.ragged
org.tensorflow.op.random - package org.tensorflow.op.random
org.tensorflow.op.risc - package org.tensorflow.op.risc
org.tensorflow.op.signal - package org.tensorflow.op.signal
org.tensorflow.op.sparse - package org.tensorflow.op.sparse
org.tensorflow.op.strings - package org.tensorflow.op.strings
org.tensorflow.op.summary - package org.tensorflow.op.summary
org.tensorflow.op.tpu - package org.tensorflow.op.tpu
org.tensorflow.op.train - package org.tensorflow.op.train
org.tensorflow.op.xla - package org.tensorflow.op.xla
org.tensorflow.proto.data - package org.tensorflow.proto.data
org.tensorflow.proto.data.experimental - package org.tensorflow.proto.data.experimental
org.tensorflow.proto.data.model - package org.tensorflow.proto.data.model
org.tensorflow.proto.distruntime - package org.tensorflow.proto.distruntime
org.tensorflow.proto.example - package org.tensorflow.proto.example
org.tensorflow.proto.framework - package org.tensorflow.proto.framework
org.tensorflow.proto.profiler - package org.tensorflow.proto.profiler
org.tensorflow.proto.util - package org.tensorflow.proto.util
org.tensorflow.proto.util.testlog - package org.tensorflow.proto.util.testlog
org.tensorflow.types - package org.tensorflow.types: Defines classes that represent TensorFlow tensor types.
org.tensorflow.types.annotation - package org.tensorflow.types.annotation
org.tensorflow.types.family - package org.tensorflow.types.family: Interfaces used to group tensor types in families that define a particular domain of data.
ORIGINAL_FUNC_NAMES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
ORIGINAL_GRAPH_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.DebuggedGraph
ORIGINAL_NODE_NAMES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
ORIGINAL_VARIABLE_NODE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
originalImage - Variable in class org.tensorflow.op.image.ResizeBicubicGrad.Inputs: 4-D with shape [batch, orig_height, orig_width, channels], The image tensor that was resized.
originalImage - Variable in class org.tensorflow.op.image.ResizeBilinearGrad.Inputs: 4-D with shape [batch, orig_height, orig_width, channels], The image tensor that was resized.
originalImage - Variable in class org.tensorflow.op.image.ScaleAndTranslateGrad.Inputs: The originalImage input
originalInput - Variable in class org.tensorflow.op.core.UnbatchGrad.Inputs: The originalInput input
origInput - Variable in class org.tensorflow.op.nn.FractionalMaxPoolGrad.Inputs: Original input for fractional_max_pool
origInput - Variable in class org.tensorflow.op.nn.MaxPool3dGrad.Inputs: The original input tensor.
origInput - Variable in class org.tensorflow.op.nn.MaxPool3dGradGrad.Inputs: The original input tensor.
origInput - Variable in class org.tensorflow.op.nn.MaxPoolGrad.Inputs: The original input tensor.
origInput - Variable in class org.tensorflow.op.nn.MaxPoolGradGrad.Inputs: The original input tensor.
origInputShape - Variable in class org.tensorflow.op.nn.AvgPool3dGrad.Inputs: The original input dimensions.
origInputShape - Variable in class org.tensorflow.op.nn.AvgPoolGrad.Inputs: 1-D.
origInputTensorShape - Variable in class org.tensorflow.op.nn.FractionalAvgPoolGrad.Inputs: Original input tensor shape for fractional_avg_pool
origOutput - Variable in class org.tensorflow.op.nn.FractionalMaxPoolGrad.Inputs: Original output for fractional_max_pool
origOutput - Variable in class org.tensorflow.op.nn.MaxPool3dGrad.Inputs: The original output tensor.
origOutput - Variable in class org.tensorflow.op.nn.MaxPool3dGradGrad.Inputs: The original output tensor.
origOutput - Variable in class org.tensorflow.op.nn.MaxPoolGrad.Inputs: The original output tensor.
origOutput - Variable in class org.tensorflow.op.nn.MaxPoolGradGrad.Inputs: The original output tensor.
otherArguments - Variable in class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs: A list of tensors, typically values that were captured when building a closure for f.
otherArguments - Variable in class org.tensorflow.op.data.experimental.MapDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.experimental.ScanDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.experimental.TakeWhileDataset.Inputs: A list of tensors, typically values that were captured when building a closure for predicate.
otherArguments - Variable in class org.tensorflow.op.data.FilterDataset.Inputs: A list of tensors, typically values that were captured when building a closure for predicate.
otherArguments - Variable in class org.tensorflow.op.data.FlatMapDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.InterleaveDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: A list of tensors, typically values that were captured when building a closure for f.
otherArguments - Variable in class org.tensorflow.op.data.MapDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: Additional arguments to pass to f beyond those produced by input_dataset.
otherArguments - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.ReduceDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.TakeWhileDataset.Inputs: A list of tensors, typically values that were captured when building a closure for predicate.
otherArgumentsLengths - Variable in class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs: The otherArgumentsLengths attribute
out() - Method in class org.tensorflow.op.core.HistogramFixedWidth: Gets out.
out() - Method in class org.tensorflow.op.core.SetDiff1d: Gets out.
out() - Method in class org.tensorflow.op.dtypes.Complex: Gets out.
out() - Method in class org.tensorflow.op.linalg.QuantizedMatMul: Gets out.
out() - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias: Gets out.
out() - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu: Gets out.
out() - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize: Gets out.
out() - Method in class org.tensorflow.op.math.Cumprod: Gets out.
out() - Method in class org.tensorflow.op.math.Cumsum: Gets out.
out() - Method in class org.tensorflow.op.math.CumulativeLogsumexp: Gets out.
out() - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize: Gets out.
out() - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyAdadelta: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyAdagrad: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyAdagradDa: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyAdagradV2: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyAdam: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyAdaMax: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyAddSign: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyCenteredRmsProp: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyFtrl: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyGradientDescent: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyMomentum: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyPowerSign: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyProximalAdagrad: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyProximalGradientDescent: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyRmsProp: Gets out.
out() - Method in class org.tensorflow.op.train.SparseApplyAdadelta: Gets out.
out() - Method in class org.tensorflow.op.train.SparseApplyAdagrad: Gets out.
out() - Method in class org.tensorflow.op.train.SparseApplyAdagradDa: Gets out.
out() - Method in class org.tensorflow.op.train.SparseApplyCenteredRmsProp: Gets out.
out() - Method in class org.tensorflow.op.train.SparseApplyFtrl: Gets out.
out() - Method in class org.tensorflow.op.train.SparseApplyMomentum: Gets out.
out() - Method in class org.tensorflow.op.train.SparseApplyProximalAdagrad: Gets out.
out() - Method in class org.tensorflow.op.train.SparseApplyProximalGradientDescent: Gets out.
out() - Method in class org.tensorflow.op.train.SparseApplyRmsProp: Gets out.
OUT_ARG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ApiDef
OUT_OF_RANGE_VALUE - Static variable in enum org.tensorflow.proto.framework.Code: Operation tried to iterate past the valid input range.
outBackprop - Variable in class org.tensorflow.op.nn.BiasAddGrad.Inputs: Any number of dimensions.
outBackprop - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: 4-D with shape [batch, out_height, out_width, out_channels].
outBackprop - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: 4-D with shape [batch, out_height, out_width, out_channels].
outBackprop - Variable in class org.tensorflow.op.nn.Conv3dBackpropFilter.Inputs: Backprop signal of shape [batch, out_depth, out_rows, out_cols, out_channels].
outBackprop - Variable in class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs: Backprop signal of shape [batch, out_depth, out_rows, out_cols, out_channels].
outBackprop - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs: 4-D with shape based on data_format.
outBackprop - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs: 4-D with shape based on data_format.
outBackprop - Variable in class org.tensorflow.op.nn.Dilation2dBackpropFilter.Inputs: 4-D with shape [batch, out_height, out_width, depth].
outBackprop - Variable in class org.tensorflow.op.nn.Dilation2dBackpropInput.Inputs: 4-D with shape [batch, out_height, out_width, depth].
outBackprop - Variable in class org.tensorflow.op.nn.FractionalAvgPoolGrad.Inputs: 4-D with shape [batch, height, width, channels].
outBackprop - Variable in class org.tensorflow.op.nn.FractionalMaxPoolGrad.Inputs: 4-D with shape [batch, height, width, channels].
outDeltaDenseWeights() - Method in class org.tensorflow.op.train.SdcaOptimizer: Gets outDeltaDenseWeights.
outDeltaSparseWeights() - Method in class org.tensorflow.op.train.SdcaOptimizer: Gets outDeltaSparseWeights.
OUTER_CONTEXT_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.DebuggedGraph
outExampleStateData() - Method in class org.tensorflow.op.train.SdcaOptimizer: Gets outExampleStateData.
OutfeedDequeue<T extends TType> - Class in org.tensorflow.op.tpu: Retrieves a single tensor from the computation outfeed.
OutfeedDequeue(Operation) - Constructor for class org.tensorflow.op.tpu.OutfeedDequeue
OutfeedDequeue.Inputs - Class in org.tensorflow.op.tpu
OutfeedDequeue.Options - Class in org.tensorflow.op.tpu: Optional attributes for OutfeedDequeue
OutfeedDequeueTuple - Class in org.tensorflow.op.tpu: Retrieve multiple values from the computation outfeed.
OutfeedDequeueTuple(Operation) - Constructor for class org.tensorflow.op.tpu.OutfeedDequeueTuple
OutfeedDequeueTuple.Inputs - Class in org.tensorflow.op.tpu
OutfeedDequeueTuple.Options - Class in org.tensorflow.op.tpu: Optional attributes for OutfeedDequeueTuple
OutfeedDequeueTupleV2 - Class in org.tensorflow.op.tpu: Retrieve multiple values from the computation outfeed.
OutfeedDequeueTupleV2(Operation) - Constructor for class org.tensorflow.op.tpu.OutfeedDequeueTupleV2
OutfeedDequeueTupleV2.Inputs - Class in org.tensorflow.op.tpu
OutfeedDequeueV2<T extends TType> - Class in org.tensorflow.op.tpu: Retrieves a single tensor from the computation outfeed.
OutfeedDequeueV2(Operation) - Constructor for class org.tensorflow.op.tpu.OutfeedDequeueV2
OutfeedDequeueV2.Inputs - Class in org.tensorflow.op.tpu
OutfeedEnqueue - Class in org.tensorflow.op.tpu: Enqueue a Tensor on the computation outfeed.
OutfeedEnqueue(Operation) - Constructor for class org.tensorflow.op.tpu.OutfeedEnqueue
OutfeedEnqueue.Inputs - Class in org.tensorflow.op.tpu
OutfeedEnqueueTuple - Class in org.tensorflow.op.tpu: Enqueue multiple Tensor values on the computation outfeed.
OutfeedEnqueueTuple(Operation) - Constructor for class org.tensorflow.op.tpu.OutfeedEnqueueTuple
OutfeedEnqueueTuple.Inputs - Class in org.tensorflow.op.tpu
outIdx - Variable in class org.tensorflow.op.core.SetDiff1d.Inputs: The outIdx attribute
outIdx - Variable in class org.tensorflow.op.core.Unique.Inputs: The outIdx attribute
outIdx - Variable in class org.tensorflow.op.core.UniqueWithCounts.Inputs: The outIdx attribute
outMax() - Method in class org.tensorflow.op.image.QuantizedResizeBilinear: Gets outMax.
outMin() - Method in class org.tensorflow.op.image.QuantizedResizeBilinear: Gets outMin.
output(String) - Method in class org.tensorflow.Graph: Returns the output with the provided name, or null if there is no such output.
output() - Method in class org.tensorflow.op.audio.Mfcc: Gets output.
output() - Method in class org.tensorflow.op.collective.CollectivePermute: Gets output.
output() - Method in class org.tensorflow.op.core.All: Gets output.
output() - Method in class org.tensorflow.op.core.Any: Gets output.
output() - Method in class org.tensorflow.op.core.BarrierIncompleteSize: Gets output.
output() - Method in class org.tensorflow.op.core.BarrierReadySize: Gets output.
output() - Method in class org.tensorflow.op.core.BatchToSpace: Gets output.
output() - Method in class org.tensorflow.op.core.BatchToSpaceNd: Gets output.
output() - Method in class org.tensorflow.op.core.Bitcast: Gets output.
output() - Method in class org.tensorflow.op.core.BroadcastTo: Gets output.
output() - Method in class org.tensorflow.op.core.Bucketize: Gets output.
output() - Method in interface org.tensorflow.op.core.Case: Gets output.
output() - Method in class org.tensorflow.op.core.ClipByValue: Gets output.
output() - Method in class org.tensorflow.op.core.Concat: Gets output.
output() - Method in class org.tensorflow.op.core.Copy: Gets output.
output() - Method in class org.tensorflow.op.core.CopyHost: Gets output.
output() - Method in class org.tensorflow.op.core.CountUpTo: Gets output.
output() - Method in class org.tensorflow.op.core.EditDistance: Gets output.
output() - Method in class org.tensorflow.op.core.Empty: Gets output.
output() - Method in class org.tensorflow.op.core.EnsureShape: Gets output.
output() - Method in class org.tensorflow.op.core.Enter: Gets output.
output() - Method in class org.tensorflow.op.core.Exit: Gets output.
output() - Method in class org.tensorflow.op.core.ExpandDims: Gets output.
output() - Method in class org.tensorflow.op.core.Fill: Gets output.
output() - Method in class org.tensorflow.op.core.For: Gets output.
output() - Method in class org.tensorflow.op.core.Gather: Gets output.
output() - Method in class org.tensorflow.op.core.GatherNd: Gets output.
output() - Method in class org.tensorflow.op.core.GuaranteeConst: Gets output.
output() - Method in class org.tensorflow.op.core.Identity: Gets output.
output() - Method in class org.tensorflow.op.core.IdentityN: Gets output.
output() - Method in interface org.tensorflow.op.core.If: Gets output.
output() - Method in class org.tensorflow.op.core.KthOrderStatistic: Gets output.
output() - Method in class org.tensorflow.op.core.LinSpace: Gets output.
output() - Method in class org.tensorflow.op.core.LookupTableSize: Gets output.
output() - Method in class org.tensorflow.op.core.LoopCond: Gets output.
output() - Method in class org.tensorflow.op.core.LowerBound: Gets output.
output() - Method in class org.tensorflow.op.core.MakeUnique: Gets output.
output() - Method in class org.tensorflow.op.core.MapDefun: Gets output.
output() - Method in class org.tensorflow.op.core.MapIncompleteSize: Gets output.
output() - Method in class org.tensorflow.op.core.MapSize: Gets output.
output() - Method in class org.tensorflow.op.core.Max: Gets output.
output() - Method in class org.tensorflow.op.core.Merge: Gets output.
output() - Method in class org.tensorflow.op.core.Min: Gets output.
output() - Method in class org.tensorflow.op.core.MirrorPad: Gets output.
output() - Method in class org.tensorflow.op.core.MirrorPadGrad: Gets output.
output() - Method in class org.tensorflow.op.core.NcclBroadcast: Deprecated.

Gets output.
output() - Method in class org.tensorflow.op.core.NextIteration: Gets output.
output() - Method in class org.tensorflow.op.core.OneHot: Gets output.
output() - Method in class org.tensorflow.op.core.OrderedMapIncompleteSize: Gets output.
output() - Method in class org.tensorflow.op.core.OrderedMapSize: Gets output.
output() - Method in class org.tensorflow.op.core.Pad: Gets output.
output() - Method in class org.tensorflow.op.core.ParallelConcat: Gets output.
output() - Method in interface org.tensorflow.op.core.PartitionedCall: Gets output.
output() - Method in class org.tensorflow.op.core.Placeholder: Gets output.
output() - Method in class org.tensorflow.op.core.PlaceholderWithDefault: Gets output.
output() - Method in class org.tensorflow.op.core.Prod: Gets output.
output() - Method in class org.tensorflow.op.core.QuantizedReshape: Gets output.
output() - Method in class org.tensorflow.op.core.Range: Gets output.
output() - Method in class org.tensorflow.op.core.Rank: Gets output.
output() - Method in class org.tensorflow.op.core.ReduceAll: Gets output.
output() - Method in class org.tensorflow.op.core.ReduceAny: Gets output.
output() - Method in class org.tensorflow.op.core.ReduceMax: Gets output.
output() - Method in class org.tensorflow.op.core.ReduceMin: Gets output.
output() - Method in class org.tensorflow.op.core.ReduceProd: Gets output.
output() - Method in class org.tensorflow.op.core.ReduceSum: Gets output.
output() - Method in class org.tensorflow.op.core.RefEnter: Gets output.
output() - Method in class org.tensorflow.op.core.RefExit: Gets output.
output() - Method in class org.tensorflow.op.core.RefIdentity: Gets output.
output() - Method in class org.tensorflow.op.core.RefMerge: Gets output.
output() - Method in class org.tensorflow.op.core.RefNextIteration: Gets output.
output() - Method in class org.tensorflow.op.core.RefSelect: Gets output.
output() - Method in class org.tensorflow.op.core.RemoteCall: Gets output.
output() - Method in class org.tensorflow.op.core.Reshape: Gets output.
output() - Method in class org.tensorflow.op.core.ResourceCountUpTo: Gets output.
output() - Method in class org.tensorflow.op.core.ResourceGather: Gets output.
output() - Method in class org.tensorflow.op.core.ResourceGatherNd: Gets output.
output() - Method in class org.tensorflow.op.core.Reverse: Gets output.
output() - Method in class org.tensorflow.op.core.ReverseSequence: Gets output.
output() - Method in class org.tensorflow.op.core.Roll: Gets output.
output() - Method in class org.tensorflow.op.core.ScatterNd: Gets output.
output() - Method in class org.tensorflow.op.core.ScatterNdNonAliasingAdd: Gets output.
output() - Method in class org.tensorflow.op.core.Select: Gets output.
output() - Method in class org.tensorflow.op.core.SetSize: Gets output.
output() - Method in class org.tensorflow.op.core.Shape: Gets output.
output() - Method in class org.tensorflow.op.core.ShapeN: Gets output.
output() - Method in class org.tensorflow.op.core.Size: Gets output.
output() - Method in class org.tensorflow.op.core.Slice: Gets output.
output() - Method in class org.tensorflow.op.core.Snapshot: Gets output.
output() - Method in class org.tensorflow.op.core.SpaceToBatchNd: Gets output.
output() - Method in class org.tensorflow.op.core.Split: Gets output.
output() - Method in class org.tensorflow.op.core.SplitV: Gets output.
output() - Method in class org.tensorflow.op.core.Squeeze: Gets output.
output() - Method in class org.tensorflow.op.core.Stack: Gets output.
output() - Method in class org.tensorflow.op.core.StageSize: Gets output.
output() - Method in class org.tensorflow.op.core.StatefulCase: Gets output.
output() - Method in class org.tensorflow.op.core.StatefulIf: Gets output.
output() - Method in class org.tensorflow.op.core.StatefulPartitionedCall: Gets output.
output() - Method in class org.tensorflow.op.core.StatefulWhile: Gets output.
output() - Method in class org.tensorflow.op.core.StatelessCase: Gets output.
output() - Method in class org.tensorflow.op.core.StatelessIf: Gets output.
output() - Method in class org.tensorflow.op.core.StatelessPartitionedCall: Gets output.
output() - Method in class org.tensorflow.op.core.StatelessWhile: Gets output.
output() - Method in class org.tensorflow.op.core.StopGradient: Gets output.
output() - Method in class org.tensorflow.op.core.StridedSlice: Gets output.
output() - Method in class org.tensorflow.op.core.StridedSliceGrad: Gets output.
output() - Method in class org.tensorflow.op.core.Sum: Gets output.
output() - Method in class org.tensorflow.op.core.TensorArraySize: Gets output.
output() - Method in class org.tensorflow.op.core.TensorListConcatLists: Gets output.
output() - Method in class org.tensorflow.op.core.TensorMapSize: Gets output.
output() - Method in class org.tensorflow.op.core.TensorScatterNdAdd: Gets output.
output() - Method in class org.tensorflow.op.core.TensorScatterNdMax: Gets output.
output() - Method in class org.tensorflow.op.core.TensorScatterNdMin: Gets output.
output() - Method in class org.tensorflow.op.core.TensorScatterNdSub: Gets output.
output() - Method in class org.tensorflow.op.core.TensorScatterNdUpdate: Gets output.
output() - Method in class org.tensorflow.op.core.TensorStridedSliceUpdate: Gets output.
output() - Method in class org.tensorflow.op.core.Tile: Gets output.
output() - Method in class org.tensorflow.op.core.UnravelIndex: Gets output.
output() - Method in class org.tensorflow.op.core.Unstack: Gets output.
output() - Method in class org.tensorflow.op.core.UpperBound: Gets output.
output() - Method in class org.tensorflow.op.core.VariableShape: Gets output.
output() - Method in interface org.tensorflow.op.core.While: Gets output.
output() - Method in class org.tensorflow.op.data.FilterByLastComponentDataset: Gets output.
output() - Method in class org.tensorflow.op.debugging.CheckNumerics: Gets output.
output() - Method in class org.tensorflow.op.debugging.DebugGradientIdentity: Gets output.
output() - Method in class org.tensorflow.op.debugging.DebugGradientRefIdentity: Gets output.
output() - Method in class org.tensorflow.op.debugging.DebugIdentity: Gets output.
output() - Method in class org.tensorflow.op.debugging.DebugNanCount: Gets output.
output() - Method in class org.tensorflow.op.debugging.DebugNumericsSummary: Gets output.
output() - Method in class org.tensorflow.op.distribute.NcclBroadcast: Gets output.
output() - Method in class org.tensorflow.op.dtypes.AsString: Gets output.
output() - Method in class org.tensorflow.op.dtypes.ToBool: Gets output.
output() - Method in class org.tensorflow.op.image.AdjustContrast: Gets output.
output() - Method in class org.tensorflow.op.image.AdjustHue: Gets output.
output() - Method in class org.tensorflow.op.image.AdjustSaturation: Gets output.
output() - Method in class org.tensorflow.op.image.CropAndResizeGradBoxes: Gets output.
output() - Method in class org.tensorflow.op.image.CropAndResizeGradImage: Gets output.
output() - Method in class org.tensorflow.op.image.DrawBoundingBoxes: Gets output.
output() - Method in class org.tensorflow.op.image.HsvToRgb: Gets output.
output() - Method in class org.tensorflow.op.image.RandomCrop: Gets output.
output() - Method in class org.tensorflow.op.image.ResizeBicubicGrad: Gets output.
output() - Method in class org.tensorflow.op.image.ResizeBilinearGrad: Gets output.
output() - Method in class org.tensorflow.op.image.ResizeNearestNeighborGrad: Gets output.
output() - Method in class org.tensorflow.op.image.RgbToHsv: Gets output.
output() - Method in class org.tensorflow.op.image.ScaleAndTranslateGrad: Gets output.
output() - Method in class org.tensorflow.op.io.DecodeBase64: Gets output.
output() - Method in class org.tensorflow.op.io.DecodeCompressed: Gets output.
output() - Method in class org.tensorflow.op.io.DecodeCsv: Gets output.
output() - Method in class org.tensorflow.op.io.DecodePaddedRaw: Gets output.
output() - Method in class org.tensorflow.op.io.DecodeRaw: Gets output.
output() - Method in class org.tensorflow.op.io.EncodeBase64: Gets output.
output() - Method in class org.tensorflow.op.io.ParseTensor: Gets output.
output() - Method in class org.tensorflow.op.io.QueueSize: Gets output.
output() - Method in class org.tensorflow.op.linalg.BandedTriangularSolve: Gets output.
output() - Method in class org.tensorflow.op.linalg.BatchCholesky: Gets output.
output() - Method in class org.tensorflow.op.linalg.BatchCholeskyGrad: Gets output.
output() - Method in class org.tensorflow.op.linalg.BatchMatrixDeterminant: Gets output.
output() - Method in class org.tensorflow.op.linalg.BatchMatrixDiag: Gets output.
output() - Method in class org.tensorflow.op.linalg.BatchMatrixInverse: Gets output.
output() - Method in class org.tensorflow.op.linalg.BatchMatrixSetDiag: Gets output.
output() - Method in class org.tensorflow.op.linalg.BatchMatrixSolve: Gets output.
output() - Method in class org.tensorflow.op.linalg.BatchMatrixSolveLs: Gets output.
output() - Method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve: Gets output.
output() - Method in class org.tensorflow.op.linalg.Cholesky: Gets output.
output() - Method in class org.tensorflow.op.linalg.CholeskyGrad: Gets output.
output() - Method in class org.tensorflow.op.linalg.Det: Gets output.
output() - Method in class org.tensorflow.op.linalg.Einsum: Gets output.
output() - Method in class org.tensorflow.op.linalg.EuclideanNorm: Gets output.
output() - Method in class org.tensorflow.op.linalg.Inv: Gets output.
output() - Method in class org.tensorflow.op.linalg.MatrixDiag: Gets output.
output() - Method in class org.tensorflow.op.linalg.MatrixDiagV3: Gets output.
output() - Method in class org.tensorflow.op.linalg.MatrixLogarithm: Gets output.
output() - Method in class org.tensorflow.op.linalg.MatrixSetDiag: Gets output.
output() - Method in class org.tensorflow.op.linalg.MatrixSolveLs: Gets output.
output() - Method in class org.tensorflow.op.linalg.Solve: Gets output.
output() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul: Gets output.
output() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMul: Gets output.
output() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixOrderingAMD: Gets output.
output() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseCholesky: Gets output.
output() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose: Gets output.
output() - Method in class org.tensorflow.op.linalg.Sqrtm: Gets output.
output() - Method in class org.tensorflow.op.linalg.TensorDiag: Gets output.
output() - Method in class org.tensorflow.op.linalg.TriangularSolve: Gets output.
output() - Method in class org.tensorflow.op.linalg.TridiagonalMatMul: Gets output.
output() - Method in class org.tensorflow.op.linalg.TridiagonalSolve: Gets output.
output() - Method in class org.tensorflow.op.math.Angle: Gets output.
output() - Method in class org.tensorflow.op.math.ArgMax: Gets output.
output() - Method in class org.tensorflow.op.math.ArgMin: Gets output.
output() - Method in class org.tensorflow.op.math.Conj: Gets output.
output() - Method in class org.tensorflow.op.math.DenseBincount: Gets output.
output() - Method in class org.tensorflow.op.math.Imag: Gets output.
output() - Method in class org.tensorflow.op.math.Mean: Gets output.
output() - Method in class org.tensorflow.op.math.NextAfter: Gets output.
output() - Method in class org.tensorflow.op.math.Real: Gets output.
output() - Method in class org.tensorflow.op.math.RequantizePerChannel: Gets output.
output() - Method in class org.tensorflow.op.math.SegmentMax: Gets output.
output() - Method in class org.tensorflow.op.math.SegmentMean: Gets output.
output() - Method in class org.tensorflow.op.math.SegmentMin: Gets output.
output() - Method in class org.tensorflow.op.math.SegmentProd: Gets output.
output() - Method in class org.tensorflow.op.math.SegmentSum: Gets output.
output() - Method in class org.tensorflow.op.math.UnsortedSegmentMax: Gets output.
output() - Method in class org.tensorflow.op.math.UnsortedSegmentMin: Gets output.
output() - Method in class org.tensorflow.op.math.UnsortedSegmentProd: Gets output.
output() - Method in class org.tensorflow.op.math.UnsortedSegmentSum: Gets output.
output() - Method in class org.tensorflow.op.nn.AvgPool: Gets output.
output() - Method in class org.tensorflow.op.nn.AvgPool3d: Gets output.
output() - Method in class org.tensorflow.op.nn.AvgPool3dGrad: Gets output.
output() - Method in class org.tensorflow.op.nn.AvgPoolGrad: Gets output.
output() - Method in class org.tensorflow.op.nn.BiasAdd: Gets output.
output() - Method in class org.tensorflow.op.nn.BiasAddGrad: Gets output.
output() - Method in class org.tensorflow.op.nn.Conv2d: Gets output.
output() - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter: Gets output.
output() - Method in class org.tensorflow.op.nn.Conv2dBackpropInput: Gets output.
output() - Method in class org.tensorflow.op.nn.Conv3d: Gets output.
output() - Method in class org.tensorflow.op.nn.Conv3dBackpropFilter: Gets output.
output() - Method in class org.tensorflow.op.nn.Conv3dBackpropInput: Gets output.
output() - Method in class org.tensorflow.op.nn.CudnnRNN: Gets output.
output - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The output input
output() - Method in class org.tensorflow.op.nn.DepthToSpace: Gets output.
output() - Method in class org.tensorflow.op.nn.DepthwiseConv2dNative: Gets output.
output() - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter: Gets output.
output() - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput: Gets output.
output() - Method in class org.tensorflow.op.nn.Dilation2d: Gets output.
output() - Method in class org.tensorflow.op.nn.FractionalAvgPool: Gets output.
output() - Method in class org.tensorflow.op.nn.FractionalAvgPoolGrad: Gets output.
output() - Method in class org.tensorflow.op.nn.FractionalMaxPool: Gets output.
output() - Method in class org.tensorflow.op.nn.FractionalMaxPoolGrad: Gets output.
output() - Method in class org.tensorflow.op.nn.FusedPadConv2d: Gets output.
output() - Method in class org.tensorflow.op.nn.FusedResizeAndPadConv2d: Gets output.
output() - Method in class org.tensorflow.op.nn.IsotonicRegression: Gets output.
output() - Method in class org.tensorflow.op.nn.L2Loss: Gets output.
output() - Method in class org.tensorflow.op.nn.LocalResponseNormalization: Gets output.
output() - Method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad: Gets output.
output() - Method in class org.tensorflow.op.nn.MaxPool: Gets output.
output() - Method in class org.tensorflow.op.nn.MaxPool3d: Gets output.
output() - Method in class org.tensorflow.op.nn.MaxPool3dGrad: Gets output.
output() - Method in class org.tensorflow.op.nn.MaxPool3dGradGrad: Gets output.
output() - Method in class org.tensorflow.op.nn.MaxPoolGrad: Gets output.
output() - Method in class org.tensorflow.op.nn.MaxPoolGradGrad: Gets output.
output() - Method in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax: Gets output.
output() - Method in class org.tensorflow.op.nn.MaxPoolGradWithArgmax: Gets output.
output() - Method in class org.tensorflow.op.nn.MaxPoolWithArgmax: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedAvgPool: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedBiasAdd: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2d: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DPerChannel: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBias: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedMaxPool: Gets output.
output() - Method in class org.tensorflow.op.nn.SpaceToBatch: Gets output.
output() - Method in class org.tensorflow.op.nn.SpaceToDepth: Gets output.
output() - Method in class org.tensorflow.op.quantization.Dequantize: Gets output.
output() - Method in class org.tensorflow.op.quantization.Quantize: Gets output.
output() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantize: Gets output.
output() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3: Gets output.
output() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4: Gets output.
output() - Method in class org.tensorflow.op.quantization.QuantizedConcat: Gets output.
output() - Method in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange: Gets output.
output() - Method in class org.tensorflow.op.quantization.Requantize: Gets output.
output() - Method in class org.tensorflow.op.ragged.RaggedBincount: Gets output.
output() - Method in class org.tensorflow.op.random.Multinomial: Gets output.
output() - Method in class org.tensorflow.op.random.NonDeterministicInts: Gets output.
output() - Method in class org.tensorflow.op.random.ParameterizedTruncatedNormal: Gets output.
output() - Method in class org.tensorflow.op.random.RandomGamma: Gets output.
output() - Method in class org.tensorflow.op.random.RandomGammaGrad: Gets output.
output() - Method in class org.tensorflow.op.random.RandomPoisson: Gets output.
output() - Method in class org.tensorflow.op.random.RandomShuffle: Gets output.
output() - Method in class org.tensorflow.op.random.RandomStandardNormal: Gets output.
output() - Method in class org.tensorflow.op.random.RandomUniform: Gets output.
output() - Method in class org.tensorflow.op.random.RandomUniformInt: Gets output.
output() - Method in class org.tensorflow.op.random.StatefulRandomBinomial: Gets output.
output() - Method in class org.tensorflow.op.random.StatefulStandardNormal: Gets output.
output() - Method in class org.tensorflow.op.random.StatefulTruncatedNormal: Gets output.
output() - Method in class org.tensorflow.op.random.StatefulUniform: Gets output.
output() - Method in class org.tensorflow.op.random.StatefulUniformFullInt: Gets output.
output() - Method in class org.tensorflow.op.random.StatefulUniformInt: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessMultinomial: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomBinomial: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomGamma: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomNormal: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomNormalV2: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomPoisson: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomUniform: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomUniformFullInt: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomUniformInt: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomUniformIntV2: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomUniformV2: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessTruncatedNormal: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessTruncatedNormalV2: Gets output.
output() - Method in class org.tensorflow.op.random.TruncatedNormal: Gets output.
output() - Method in class org.tensorflow.op.risc.RiscBroadcast: Gets output.
output() - Method in class org.tensorflow.op.risc.RiscCholesky: Gets output.
output() - Method in class org.tensorflow.op.risc.RiscConcat: Gets output.
output() - Method in class org.tensorflow.op.risc.RiscCondition: Gets output.
output() - Method in class org.tensorflow.op.risc.RiscConv: Gets output.
output() - Method in class org.tensorflow.op.risc.RiscFft: Gets output.
output() - Method in class org.tensorflow.op.risc.RiscGather: Gets output.
output() - Method in class org.tensorflow.op.risc.RiscImag: Gets output.
output() - Method in class org.tensorflow.op.risc.RiscPad: Gets output.
output() - Method in class org.tensorflow.op.risc.RiscPool: Gets output.
output() - Method in class org.tensorflow.op.risc.RiscRandomUniform: Gets output.
output() - Method in class org.tensorflow.op.risc.RiscReal: Gets output.
output() - Method in class org.tensorflow.op.risc.RiscReduce: Gets output.
output() - Method in class org.tensorflow.op.risc.RiscReshape: Gets output.
output() - Method in class org.tensorflow.op.risc.RiscReverse: Gets output.
output() - Method in class org.tensorflow.op.risc.RiscScatter: Gets output.
output() - Method in class org.tensorflow.op.risc.RiscShape: Gets output.
output() - Method in class org.tensorflow.op.risc.RiscSlice: Gets output.
output() - Method in class org.tensorflow.op.risc.RiscSort: Gets output.
output() - Method in class org.tensorflow.op.risc.RiscSqueeze: Gets output.
output() - Method in class org.tensorflow.op.risc.RiscTriangularSolve: Gets output.
output() - Method in class org.tensorflow.op.risc.RiscWhile: Gets output.
output() - Method in class org.tensorflow.op.signal.BatchFft: Gets output.
output() - Method in class org.tensorflow.op.signal.BatchFft2d: Gets output.
output() - Method in class org.tensorflow.op.signal.BatchFft3d: Gets output.
output() - Method in class org.tensorflow.op.signal.BatchIfft: Gets output.
output() - Method in class org.tensorflow.op.signal.BatchIfft2d: Gets output.
output() - Method in class org.tensorflow.op.signal.BatchIfft3d: Gets output.
output() - Method in class org.tensorflow.op.signal.Fft: Gets output.
output() - Method in class org.tensorflow.op.signal.Fft2d: Gets output.
output() - Method in class org.tensorflow.op.signal.Fft3d: Gets output.
output() - Method in class org.tensorflow.op.signal.Ifft: Gets output.
output() - Method in class org.tensorflow.op.signal.Ifft2d: Gets output.
output() - Method in class org.tensorflow.op.signal.Ifft3d: Gets output.
output() - Method in class org.tensorflow.op.signal.Irfft: Gets output.
output() - Method in class org.tensorflow.op.signal.Irfft2d: Gets output.
output() - Method in class org.tensorflow.op.signal.Irfft3d: Gets output.
output() - Method in class org.tensorflow.op.signal.Rfft: Gets output.
output() - Method in class org.tensorflow.op.signal.Rfft2d: Gets output.
output() - Method in class org.tensorflow.op.signal.Rfft3d: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseBincount: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseDenseCwiseAdd: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseDenseCwiseDiv: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseDenseCwiseMul: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseReduceMax: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseReduceSum: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSegmentMean: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSegmentMeanGrad: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSegmentSqrtN: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSegmentSum: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSegmentSumGrad: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSoftmax: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseTensorDenseAdd: Gets output.
output() - Method in class org.tensorflow.op.strings.Join: Gets output.
output() - Method in class org.tensorflow.op.strings.Lower: Gets output.
output() - Method in class org.tensorflow.op.strings.ReduceJoin: Gets output.
output() - Method in class org.tensorflow.op.strings.RegexFullMatch: Gets output.
output() - Method in class org.tensorflow.op.strings.RegexReplace: Gets output.
output() - Method in class org.tensorflow.op.strings.StaticRegexFullMatch: Gets output.
output() - Method in class org.tensorflow.op.strings.StaticRegexReplace: Gets output.
output() - Method in class org.tensorflow.op.strings.StringFormat: Gets output.
output() - Method in class org.tensorflow.op.strings.StringLength: Gets output.
output() - Method in class org.tensorflow.op.strings.Strip: Gets output.
output() - Method in class org.tensorflow.op.strings.Substr: Gets output.
output() - Method in class org.tensorflow.op.strings.ToHashBucket: Gets output.
output() - Method in class org.tensorflow.op.strings.ToHashBucketFast: Gets output.
output() - Method in class org.tensorflow.op.strings.ToHashBucketStrong: Gets output.
output() - Method in class org.tensorflow.op.strings.ToNumber: Gets output.
output() - Method in class org.tensorflow.op.strings.UnicodeEncode: Gets output.
output() - Method in class org.tensorflow.op.strings.UnicodeScript: Gets output.
output() - Method in class org.tensorflow.op.strings.UnicodeTranscode: Gets output.
output() - Method in class org.tensorflow.op.strings.UnsortedSegmentJoin: Gets output.
output() - Method in class org.tensorflow.op.strings.Upper: Gets output.
output() - Method in class org.tensorflow.op.tpu.AllToAll: Gets output.
output() - Method in class org.tensorflow.op.tpu.CompilationResult: Gets output.
output() - Method in class org.tensorflow.op.tpu.CrossReplicaSum: Gets output.
output() - Method in class org.tensorflow.op.tpu.EmbeddingActivations: Gets output.
output() - Method in class org.tensorflow.op.tpu.InfeedDequeue: Gets output.
output() - Method in class org.tensorflow.op.tpu.OutfeedDequeue: Gets output.
output() - Method in class org.tensorflow.op.tpu.OutfeedDequeueV2: Gets output.
output() - Method in class org.tensorflow.op.tpu.PartitionedCall: Gets output.
output() - Method in class org.tensorflow.op.tpu.PartitionedInput: Gets output.
output() - Method in class org.tensorflow.op.tpu.PartitionedOutput: Gets output.
output() - Method in class org.tensorflow.op.tpu.Prelinearize: Gets output.
output() - Method in class org.tensorflow.op.tpu.PrelinearizeTuple: Gets output.
output() - Method in class org.tensorflow.op.tpu.ReplicatedInput: Gets output.
output() - Method in class org.tensorflow.op.tpu.TPUCompilationResult: Deprecated.

Gets output.
output() - Method in class org.tensorflow.op.tpu.TPUEmbeddingActivations: Deprecated.

Gets output.
output() - Method in class org.tensorflow.op.tpu.TPUReplicatedInput: Deprecated.

Gets output.
output() - Method in class org.tensorflow.op.train.BatchMatMul: Gets output.
output() - Method in class org.tensorflow.op.train.PreventGradient: Gets output.
output() - Method in class org.tensorflow.op.train.SdcaFprint: Gets output.
output() - Method in class org.tensorflow.op.train.SymbolicGradient: Gets output.
output() - Method in class org.tensorflow.op.train.TileGrad: Gets output.
output() - Method in class org.tensorflow.op.xla.AllReduce: Gets output.
output() - Method in class org.tensorflow.op.xla.ConcatND: Gets output.
output() - Method in class org.tensorflow.op.xla.Conv: Gets output.
output() - Method in class org.tensorflow.op.xla.Dequantize: Gets output.
output() - Method in class org.tensorflow.op.xla.Dot: Gets output.
output() - Method in class org.tensorflow.op.xla.DynamicSlice: Gets output.
output() - Method in class org.tensorflow.op.xla.DynamicUpdateSlice: Gets output.
output() - Method in class org.tensorflow.op.xla.Gather: Gets output.
output() - Method in class org.tensorflow.op.xla.If: Gets output.
output() - Method in class org.tensorflow.op.xla.Pad: Gets output.
output() - Method in class org.tensorflow.op.xla.Reduce: Gets output.
output() - Method in class org.tensorflow.op.xla.ReduceScatter: Gets output.
output() - Method in class org.tensorflow.op.xla.ReduceWindow: Gets output.
output() - Method in class org.tensorflow.op.xla.RemoveDynamicDimensionSize: Gets output.
output() - Method in class org.tensorflow.op.xla.RngBitGenerator: Gets output.
output() - Method in class org.tensorflow.op.xla.Scatter: Gets output.
output() - Method in class org.tensorflow.op.xla.SelectAndScatter: Gets output.
output() - Method in class org.tensorflow.op.xla.SetDynamicDimensionSize: Gets output.
output() - Method in class org.tensorflow.op.xla.Sharding: Gets output.
output() - Method in class org.tensorflow.op.xla.Sort: Gets output.
output() - Method in class org.tensorflow.op.xla.SpmdFullToShardShape: Gets output.
output() - Method in class org.tensorflow.op.xla.SpmdShardToFullShape: Gets output.
output() - Method in class org.tensorflow.op.xla.While: Gets output.
output() - Method in class org.tensorflow.op.xla.XlaRecvFromHost: Gets output.
output() - Method in class org.tensorflow.op.xla.XlaSetBound: Gets output.
output(int) - Method in interface org.tensorflow.Operation: Returns a symbolic handle to one of the tensors produced by this operation.
Output<T extends TType> - Class in org.tensorflow: A symbolic handle to a tensor produced by an Operation.
output(String, Operand<?>) - Method in class org.tensorflow.Signature.Builder: Register a tensor as an output of the function.
OUTPUT_ARG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef
OUTPUT_COUNT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferNodeInfo
OUTPUT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto
OUTPUT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NodeExecStats
OUTPUT_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CostGraphDef.Node
OUTPUT_MEMORY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpPerformance.OpMemory
OUTPUT_NUM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RemoteTensorHandle
OUTPUT_PARTITION_GRAPHS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RunOptions
OUTPUT_PORT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferNodeInput
OUTPUT_SIGNATURE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedConcreteFunction
OUTPUT_SLOT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DebugTensorWatch
OUTPUT_SLOT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.GraphExecutionTrace
OUTPUT_TENSOR_DEVICE_IDS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.Execution
OUTPUT_TENSOR_IDS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.Execution
OUTPUT_TENSOR_IDS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.GraphOpCreation
outputBackprop - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The outputBackprop input
outputC() - Method in class org.tensorflow.op.nn.CudnnRNN: Gets outputC.
outputC - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The outputC input
outputCBackprop - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The outputCBackprop input
outputDenseShape() - Method in class org.tensorflow.op.ragged.RaggedCountSparseOutput: Gets outputDenseShape.
outputDenseShape() - Method in class org.tensorflow.op.sparse.DenseCountSparseOutput: Gets outputDenseShape.
outputDenseShape() - Method in class org.tensorflow.op.sparse.SparseCountSparseOutput: Gets outputDenseShape.
outputDenseValues() - Method in class org.tensorflow.op.ragged.RaggedGather: Gets outputDenseValues.
outputDenseValues() - Method in class org.tensorflow.op.ragged.RaggedTensorFromVariant: Gets outputDenseValues.
outputDim0 - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanGrad.Inputs: dimension 0 of "data" passed to SparseSegmentMean op.
outputDim0 - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad.Inputs: dimension 0 of "data" passed to SparseSegmentSqrtN op.
outputDim0 - Variable in class org.tensorflow.op.sparse.SparseSegmentSumGrad.Inputs: dimension 0 of "data" passed to SparseSegmentSum op.
outputDtype - Variable in class org.tensorflow.op.debugging.DebugNumericsSummary.Inputs: Optional.
outputDtype - Variable in class org.tensorflow.op.nn.IsotonicRegression.Inputs: Dtype of output.
outputDtype - Variable in class org.tensorflow.op.random.Multinomial.Inputs: The outputDtype attribute
outputDtype - Variable in class org.tensorflow.op.random.StatelessMultinomial.Inputs: The outputDtype attribute
outputEncoding - Variable in class org.tensorflow.op.strings.UnicodeEncode.Inputs: Unicode encoding of the output strings.
outputEncoding - Variable in class org.tensorflow.op.strings.UnicodeTranscode.Inputs: The unicode encoding to use in the output.
outputFalse() - Method in class org.tensorflow.op.core.RefSwitch: Gets outputFalse.
outputFalse() - Method in class org.tensorflow.op.core.SwitchCond: Gets outputFalse.
outputH() - Method in class org.tensorflow.op.nn.CudnnRNN: Gets outputH.
outputH - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The outputH input
outputHandle() - Method in class org.tensorflow.op.core.TensorListFromTensor: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.core.TensorListPopBack: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.core.TensorListPushBack: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.core.TensorListResize: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.core.TensorListScatter: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.core.TensorListScatterIntoExistingList: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.core.TensorListSetItem: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.core.TensorListSplit: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.core.TensorMapErase: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.core.TensorMapInsert: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.data.UnwrapDatasetVariant: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.data.WrapDatasetVariant: Gets outputHandle.
outputHandles() - Method in class org.tensorflow.op.core.TensorListPushBackBatch: Gets outputHandles.
outputHBackprop - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The outputHBackprop input
outputIdxType - Variable in class org.tensorflow.op.linalg.Lu.Inputs: The outputIdxType attribute
outputImage - Variable in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Inputs: 4-D with shape [batch, height, width, channels].
outputIndices() - Method in class org.tensorflow.op.ragged.RaggedCountSparseOutput: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.DenseCountSparseOutput: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseConcat: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseCountSparseOutput: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseCross: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseCrossHashed: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseFillEmptyRows: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseReduceMaxSparse: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseReduceSumSparse: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseReorder: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseReshape: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseSlice: Gets outputIndices.
outputIndices - Variable in class org.tensorflow.op.sparse.SparseSliceGrad.Inputs: 2-D.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseSparseMaximum: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseSparseMinimum: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseSplit: Gets outputIndices.
outputKey() - Method in class org.tensorflow.op.xla.RngBitGenerator: Gets outputKey.
outputList(int, int) - Method in interface org.tensorflow.Operation: Returns symbolic handles to a list of tensors produced by this operation.
outputListLength(String) - Method in class org.tensorflow.GraphOperation
outputListLength(String) - Method in interface org.tensorflow.Operation: Returns the size of the list of Tensors produced by this operation.
outputMatrix() - Method in class org.tensorflow.op.linalg.LoadAndRemapMatrix: Gets outputMatrix.
outputMax() - Method in class org.tensorflow.op.core.QuantizedReshape: Gets outputMax.
outputMax() - Method in class org.tensorflow.op.math.RequantizationRangePerChannel: Gets outputMax.
outputMax() - Method in class org.tensorflow.op.math.RequantizePerChannel: Gets outputMax.
outputMax() - Method in class org.tensorflow.op.quantization.Quantize: Gets outputMax.
outputMax() - Method in class org.tensorflow.op.quantization.QuantizedConcat: Gets outputMax.
outputMax() - Method in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange: Gets outputMax.
outputMax() - Method in class org.tensorflow.op.quantization.RequantizationRange: Gets outputMax.
outputMax() - Method in class org.tensorflow.op.quantization.Requantize: Gets outputMax.
outputMin() - Method in class org.tensorflow.op.core.QuantizedReshape: Gets outputMin.
outputMin() - Method in class org.tensorflow.op.math.RequantizationRangePerChannel: Gets outputMin.
outputMin() - Method in class org.tensorflow.op.math.RequantizePerChannel: Gets outputMin.
outputMin() - Method in class org.tensorflow.op.quantization.Quantize: Gets outputMin.
outputMin() - Method in class org.tensorflow.op.quantization.QuantizedConcat: Gets outputMin.
outputMin() - Method in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange: Gets outputMin.
outputMin() - Method in class org.tensorflow.op.quantization.RequantizationRange: Gets outputMin.
outputMin() - Method in class org.tensorflow.op.quantization.Requantize: Gets outputMin.
outputNames() - Method in class org.tensorflow.Signature: Returns the names of the outputs in this signature
outputNestedSplits() - Method in class org.tensorflow.op.ragged.RaggedGather: Gets outputNestedSplits.
outputNestedSplits() - Method in class org.tensorflow.op.ragged.RaggedTensorFromVariant: Gets outputNestedSplits.
outputOrThrow(String) - Method in class org.tensorflow.Graph: Returns the output with the provided name, or throws IllegalArgumentException if there isn't one.
outputRangeGiven - Variable in class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs: If True, `given_y_min` and `given_y_min` and `given_y_max` are used as the output range.
outputRangeGiven(Boolean) - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm.Options: Sets the outputRangeGiven option.
outputRangeGiven(Boolean) - Static method in class org.tensorflow.op.nn.QuantizedInstanceNorm: Sets the outputRangeGiven option.
outputRef() - Method in class org.tensorflow.op.core.Assign: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.AssignAdd: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.AssignSub: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterAdd: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterDiv: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterMax: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterMin: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterMul: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterNdAdd: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterNdMax: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterNdMin: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterNdSub: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterNdUpdate: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterSub: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterUpdate: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.StridedSliceAssign: Gets outputRef.
outputRowSplits() - Method in class org.tensorflow.op.ragged.RaggedCross: Gets outputRowSplits.
outputs() - Method in class org.tensorflow.op.core.DynamicPartition: Gets outputs.
outputs() - Method in class org.tensorflow.op.core.MlirPassthroughOp: Gets outputs.
outputs - Variable in class org.tensorflow.op.nn.EluGrad.Inputs: The outputs of the corresponding Elu operation.
outputs - Variable in class org.tensorflow.op.nn.SeluGrad.Inputs: The outputs of the corresponding Selu operation.
outputs() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs: Gets outputs.
outputs() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars: Gets outputs.
outputs() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel: Gets outputs.
outputs() - Method in class org.tensorflow.op.tpu.InfeedDequeueTuple: Gets outputs.
outputs() - Method in class org.tensorflow.op.tpu.OutfeedDequeueTuple: Gets outputs.
outputs() - Method in class org.tensorflow.op.tpu.OutfeedDequeueTupleV2: Gets outputs.
outputs() - Method in class org.tensorflow.op.tpu.RecvTPUEmbeddingActivations: Gets outputs.
outputs() - Method in class org.tensorflow.op.tpu.ReplicatedOutput: Gets outputs.
outputs() - Method in class org.tensorflow.op.tpu.TPUReplicatedOutput: Deprecated.

Gets outputs.
outputs() - Method in class org.tensorflow.op.xla.ClusterOutput: Gets outputs.
outputs() - Method in class org.tensorflow.op.xla.ReadVariableSplitND: Gets outputs.
outputs() - Method in class org.tensorflow.op.xla.SplitND: Gets outputs.
outputs() - Method in class org.tensorflow.op.xla.XlaHostCompute: Gets outputs.
outputs() - Method in class org.tensorflow.op.xla.XlaVariadicReduce: Gets outputs.
outputs() - Method in class org.tensorflow.op.xla.XlaVariadicSort: Gets outputs.
outputs - Variable in class org.tensorflow.Session.Run: Tensors from requested fetches.
OUTPUTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpInfo
OUTPUTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SignatureDef
outputShape - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV2.Inputs: 1-D Tensor [new_height, new_width].
outputShape - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV3.Inputs: 1-D Tensor [new_height, new_width].
outputShape() - Method in class org.tensorflow.op.sparse.SparseConcat: Gets outputShape.
outputShape() - Method in class org.tensorflow.op.sparse.SparseCross: Gets outputShape.
outputShape() - Method in class org.tensorflow.op.sparse.SparseCrossHashed: Gets outputShape.
outputShape() - Method in class org.tensorflow.op.sparse.SparseReduceMaxSparse: Gets outputShape.
outputShape() - Method in class org.tensorflow.op.sparse.SparseReduceSumSparse: Gets outputShape.
outputShape() - Method in class org.tensorflow.op.sparse.SparseReshape: Gets outputShape.
outputShape() - Method in class org.tensorflow.op.sparse.SparseSlice: Gets outputShape.
outputShape() - Method in class org.tensorflow.op.sparse.SparseSplit: Gets outputShape.
outputShape - Variable in class org.tensorflow.op.sparse.SparseToDense.Inputs: 1-D.
outputShapes(List<Shape>) - Method in class org.tensorflow.op.core.Case.Options: Sets the outputShapes option.
outputShapes(Shape...) - Method in class org.tensorflow.op.core.Case.Options: Sets the outputShapes option.
outputShapes(List<Shape>) - Static method in interface org.tensorflow.op.core.Case: Sets the outputShapes option.
outputShapes(Shape...) - Static method in interface org.tensorflow.op.core.Case: Sets the outputShapes option.
outputShapes - Variable in class org.tensorflow.op.core.GetElementAtIndex.Inputs: The outputShapes attribute
outputShapes(List<Shape>) - Method in class org.tensorflow.op.core.If.Options: Sets the outputShapes option.
outputShapes(Shape...) - Method in class org.tensorflow.op.core.If.Options: Sets the outputShapes option.
outputShapes(List<Shape>) - Static method in interface org.tensorflow.op.core.If: Sets the outputShapes option.
outputShapes(Shape...) - Static method in interface org.tensorflow.op.core.If: Sets the outputShapes option.
outputShapes - Variable in class org.tensorflow.op.core.MapDefun.Inputs: A list of shapes.
outputShapes - Variable in class org.tensorflow.op.core.StatefulCase.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.core.StatefulIf.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.core.StatefulWhile.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.core.StatelessCase.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.core.StatelessIf.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.core.StatelessWhile.Inputs: The outputShapes attribute
outputShapes(List<Shape>) - Method in class org.tensorflow.op.core.While.Options: Sets the outputShapes option.
outputShapes(Shape...) - Method in class org.tensorflow.op.core.While.Options: Sets the outputShapes option.
outputShapes(List<Shape>) - Static method in interface org.tensorflow.op.core.While: Sets the outputShapes option.
outputShapes(Shape...) - Static method in interface org.tensorflow.op.core.While: Sets the outputShapes option.
outputShapes - Variable in class org.tensorflow.op.data.AnonymousIterator.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.AnonymousMultiDeviceIterator.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.AssertCardinalityDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.AssertNextDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.AutoShardDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.BatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.BytesProducedStatsDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.CacheDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ChooseFastestDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ConcatenateDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.DataServiceDatasetV2.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.DatasetToSingleElement.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.DenseToSparseBatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.DirectedInterleaveDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.AssertNextDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.AutoShardDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.BytesProducedStatsDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.ChooseFastestDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.DirectedInterleaveDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.LatencyStatsDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.LmdbDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.MapDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.NonSerializableDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: The list of shapes being produced.
outputShapes - Variable in class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.RandomDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.RebatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.ScanDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.SleepDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.SlidingWindowDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.SqlDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.TakeWhileDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.ThreadPoolDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.UnbatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.UniqueDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.FilterByLastComponentDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.FilterDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.FinalizeDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.FlatMapDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.GeneratorDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.IgnoreErrorsDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.InterleaveDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.Iterator.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.IteratorFromStringHandle.Inputs: The outputShapes attribute
outputShapes(List<Shape>) - Method in class org.tensorflow.op.data.IteratorFromStringHandle.Options: Sets the outputShapes option.
outputShapes(Shape...) - Method in class org.tensorflow.op.data.IteratorFromStringHandle.Options: Sets the outputShapes option.
outputShapes(List<Shape>) - Static method in class org.tensorflow.op.data.IteratorFromStringHandle: Sets the outputShapes option.
outputShapes(Shape...) - Static method in class org.tensorflow.op.data.IteratorFromStringHandle: Sets the outputShapes option.
outputShapes - Variable in class org.tensorflow.op.data.IteratorGetNext.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.IteratorGetNextAsOptional.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.IteratorGetNextSync.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.LatencyStatsDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.LMDBDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.LoadDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.MapDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.MaxIntraOpParallelismDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ModelDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.MultiDeviceIterator.Inputs: The list of shapes being produced.
outputShapes - Variable in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle.Inputs: The list of shapes being produced.
outputShapes(List<Shape>) - Method in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle.Options: Sets the outputShapes option.
outputShapes(Shape...) - Method in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle.Options: Sets the outputShapes option.
outputShapes(List<Shape>) - Static method in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle: Sets the outputShapes option.
outputShapes(Shape...) - Static method in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle: Sets the outputShapes option.
outputShapes - Variable in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard.Inputs: The list of shapes being produced.
outputShapes - Variable in class org.tensorflow.op.data.NonSerializableDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.OneShotIterator.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.OptimizeDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.OptionalGetValue.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.OptionsDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.PaddedBatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ParallelBatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: The list of shapes being produced.
outputShapes - Variable in class org.tensorflow.op.data.PrefetchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.PrivateThreadPoolDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.RandomDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.RangeDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.RebatchDatasetV2.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ReduceDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.RepeatDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SamplingDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SaveDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SetStatsAggregatorDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ShardDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ShuffleDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SkipDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SleepDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SlidingWindowDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SnapshotDatasetReader.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SnapshotNestedDatasetReader.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SqlDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.TakeDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.TakeWhileDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.TensorDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.TensorSliceDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ThreadPoolDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.UnbatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.UncompressElement.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.UniqueDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.WindowDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.WindowOp.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ZipDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.risc.RiscWhile.Inputs: The outputShapes attribute
outputShapes(List<Shape>) - Method in class org.tensorflow.op.risc.RiscWhile.Options: Sets the outputShapes option.
outputShapes(Shape...) - Method in class org.tensorflow.op.risc.RiscWhile.Options: Sets the outputShapes option.
outputShapes(List<Shape>) - Static method in class org.tensorflow.op.risc.RiscWhile: Sets the outputShapes option.
outputShapes(Shape...) - Static method in class org.tensorflow.op.risc.RiscWhile: Sets the outputShapes option.
outputSlot - Variable in class org.tensorflow.op.debugging.DebugIdentity.Inputs: Optional.
outputSlot(Long) - Method in class org.tensorflow.op.debugging.DebugIdentity.Options: Sets the outputSlot option.
outputSlot(Long) - Static method in class org.tensorflow.op.debugging.DebugIdentity: Sets the outputSlot option.
outputStream - Variable in class org.tensorflow.op.core.Print.Inputs: A string specifying the output stream or logging level to print to.
outputStream(String) - Method in class org.tensorflow.op.core.Print.Options: Sets the outputStream option.
outputStream(String) - Static method in class org.tensorflow.op.core.Print: Sets the outputStream option.
outputTrue() - Method in class org.tensorflow.op.core.RefSwitch: Gets outputTrue.
outputTrue() - Method in class org.tensorflow.op.core.SwitchCond: Gets outputTrue.
outputType - Variable in class org.tensorflow.op.image.ExtractJpegShape.Inputs: (Optional) The output type of the operation (int32 or int64).
outputType - Variable in class org.tensorflow.op.math.ArgMax.Inputs: The outputType attribute
outputType - Variable in class org.tensorflow.op.math.ArgMin.Inputs: The outputType attribute
outputType - Variable in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Inputs: Dtype of the output values tensor.
outputType - Variable in class org.tensorflow.op.sparse.DenseCountSparseOutput.Inputs: Dtype of the output values tensor.
outputType - Variable in class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs: Dtype of the output values tensor.
outputTypes - Variable in class org.tensorflow.op.core.DecodeProto.Inputs: List of TF types to use for the respective field in field_names.
outputTypes - Variable in class org.tensorflow.op.core.GetElementAtIndex.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.core.MapDefun.Inputs: A list of types.
outputTypes - Variable in class org.tensorflow.op.data.AnonymousIterator.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.AnonymousMultiDeviceIterator.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.AssertCardinalityDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.AssertNextDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.AutoShardDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.BatchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.BytesProducedStatsDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.CacheDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ChooseFastestDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ConcatenateDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.DataServiceDatasetV2.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.DatasetToSingleElement.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.DenseToSparseBatchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.DirectedInterleaveDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.AssertNextDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.AutoShardDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.BytesProducedStatsDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.ChooseFastestDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.DirectedInterleaveDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.LatencyStatsDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.LmdbDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.MapDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.NonSerializableDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: The type list for the return values.
outputTypes - Variable in class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.RandomDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.RebatchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.ScanDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.SleepDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.SlidingWindowDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.SqlDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.TakeWhileDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.ThreadPoolDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.UnbatchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.UniqueDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.FilterByLastComponentDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.FilterDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.FinalizeDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.FlatMapDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.GeneratorDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.IgnoreErrorsDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.InterleaveDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.Iterator.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.IteratorFromStringHandle.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.IteratorGetNext.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.IteratorGetNextAsOptional.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.IteratorGetNextSync.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.LatencyStatsDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.LMDBDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.LoadDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.MapDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.MaxIntraOpParallelismDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ModelDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.MultiDeviceIterator.Inputs: The type list for the return values.
outputTypes - Variable in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle.Inputs: The type list for the return values.
outputTypes - Variable in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard.Inputs: The type list for the return values.
outputTypes - Variable in class org.tensorflow.op.data.NonSerializableDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.OneShotIterator.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.OptimizeDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.OptionalGetValue.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.OptionsDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ParallelBatchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: The type list for the return values.
outputTypes - Variable in class org.tensorflow.op.data.PrefetchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.PrivateThreadPoolDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.RandomDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.RangeDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.RebatchDatasetV2.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ReduceDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.RepeatDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SamplingDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SaveDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SetStatsAggregatorDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ShardDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ShuffleDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SkipDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SleepDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SlidingWindowDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SnapshotDatasetReader.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SnapshotNestedDatasetReader.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SqlDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.TakeDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.TakeWhileDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ThreadPoolDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.UnbatchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.UncompressElement.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.UniqueDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.WindowDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.WindowOp.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ZipDataset.Inputs: The outputTypes attribute
outputValues() - Method in class org.tensorflow.op.ragged.RaggedCountSparseOutput: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.ragged.RaggedCross: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.DenseCountSparseOutput: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseConcat: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseCountSparseOutput: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseCross: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseCrossHashed: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseFillEmptyRows: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseReduceMaxSparse: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseReduceSumSparse: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseReorder: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseSlice: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseSparseMaximum: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseSparseMinimum: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseSplit: Gets outputValues.
outRowSplitsType - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The outRowSplitsType attribute
outTensors() - Method in class org.tensorflow.op.core.BatchFunction: Gets outTensors.
outType - Variable in class org.tensorflow.op.core.LowerBound.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.core.Shape.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.core.ShapeN.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.core.Size.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.core.UpperBound.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.core.VariableShape.Inputs: The outType attribute
OUTTYPE - Variable in class org.tensorflow.op.io.DecodeCsv.Inputs: The OUTTYPE attribute
outType - Variable in class org.tensorflow.op.io.DecodePaddedRaw.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.io.DecodeRaw.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.io.ParseTensor.Inputs: The type of the serialized tensor.
outType - Variable in class org.tensorflow.op.io.SerializeManySparse.Inputs: The `dtype` to use for serialization; the supported types are `string` (default) and `variant`.
outType - Variable in class org.tensorflow.op.io.SerializeSparse.Inputs: The `dtype` to use for serialization; the supported types are `string` (default) and `variant`.
outType - Variable in class org.tensorflow.op.math.RequantizePerChannel.Inputs: The quantized type of output tensor that needs to be converted.
outType - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The quantized type of output tensor that needs to be converted.
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The type of the output.
outType - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The type of the output.
outType - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The type of the output.
outType - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The type of the output.
outType - Variable in class org.tensorflow.op.nn.QuantizedRelu.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedRelu6.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedReluX.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange.Inputs: The type of the output.
outType - Variable in class org.tensorflow.op.quantization.Requantize.Inputs: The type of the output.
outType - Variable in class org.tensorflow.op.risc.RiscShape.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.strings.ToNumber.Inputs: The numeric type to interpret each string in `string_tensor` as.
outValuesType - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The outValuesType attribute
overlapping - Variable in class org.tensorflow.op.nn.FractionalAvgPool.Inputs: When set to True, it means when pooling, the values at the boundary of adjacent pooling cells are used by both cells.
overlapping(Boolean) - Method in class org.tensorflow.op.nn.FractionalAvgPool.Options: Sets the overlapping option.
overlapping(Boolean) - Static method in class org.tensorflow.op.nn.FractionalAvgPool: Sets the overlapping option.
overlapping - Variable in class org.tensorflow.op.nn.FractionalAvgPoolGrad.Inputs: When set to True, it means when pooling, the values at the boundary of adjacent pooling cells are used by both cells.
overlapping(Boolean) - Method in class org.tensorflow.op.nn.FractionalAvgPoolGrad.Options: Sets the overlapping option.
overlapping(Boolean) - Static method in class org.tensorflow.op.nn.FractionalAvgPoolGrad: Sets the overlapping option.
overlapping - Variable in class org.tensorflow.op.nn.FractionalMaxPool.Inputs: When set to True, it means when pooling, the values at the boundary of adjacent pooling cells are used by both cells.
overlapping(Boolean) - Method in class org.tensorflow.op.nn.FractionalMaxPool.Options: Sets the overlapping option.
overlapping(Boolean) - Static method in class org.tensorflow.op.nn.FractionalMaxPool: Sets the overlapping option.
overlapping - Variable in class org.tensorflow.op.nn.FractionalMaxPoolGrad.Inputs: When set to True, it means when pooling, the values at the boundary of adjacent pooling cells are used by both cells.
overlapping(Boolean) - Method in class org.tensorflow.op.nn.FractionalMaxPoolGrad.Options: Sets the overlapping option.
overlapping(Boolean) - Static method in class org.tensorflow.op.nn.FractionalMaxPoolGrad: Sets the overlapping option.
overlaps - Variable in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps.Inputs: A 2-D float tensor of shape [num_boxes, num_boxes] representing the n-by-n box overlap values.
overlapThreshold - Variable in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps.Inputs: A 0-D float tensor representing the threshold for deciding whether boxes overlap too.

P

p() - Method in class org.tensorflow.op.linalg.Lu: Gets p.
Pad<T extends TType> - Class in org.tensorflow.op.core: Pads a tensor.
Pad(Operation) - Constructor for class org.tensorflow.op.core.Pad
pad - Variable in class org.tensorflow.op.io.EncodeBase64.Inputs: Bool whether padding is applied at the ends.
pad(Boolean) - Method in class org.tensorflow.op.io.EncodeBase64.Options: Sets the pad option.
pad(Boolean) - Static method in class org.tensorflow.op.io.EncodeBase64: Sets the pad option.
pad(Operand<T>, Operand<? extends TNumber>, Operand<T>) - Method in class org.tensorflow.op.Ops: Pads a tensor.
Pad<T extends TType> - Class in org.tensorflow.op.xla: Wraps the XLA Pad operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#pad .
Pad(Operation) - Constructor for class org.tensorflow.op.xla.Pad
pad(Operand<T>, Operand<T>, Operand, Operand, Operand) - Method in class org.tensorflow.op.XlaOps: Wraps the XLA Pad operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#pad .
Pad.Inputs<T extends TType> - Class in org.tensorflow.op.core
Pad.Inputs<T extends TType,U extends TNumber> - Class in org.tensorflow.op.xla
PaddedBatchDataset - Class in org.tensorflow.op.data: Creates a dataset that batches and pads batch_size elements from the input.
PaddedBatchDataset(Operation) - Constructor for class org.tensorflow.op.data.PaddedBatchDataset
paddedBatchDataset(Operand<? extends TType>, Operand<TInt64>, Iterable<Operand<TInt64>>, Iterable<Operand<?>>, Operand<TBool>, List<Shape>, PaddedBatchDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that batches and pads batch_size elements from the input.
PaddedBatchDataset.Inputs - Class in org.tensorflow.op.data
PaddedBatchDataset.Options - Class in org.tensorflow.op.data: Optional attributes for PaddedBatchDataset
paddedShapes - Variable in class org.tensorflow.op.data.PaddedBatchDataset.Inputs: A list of int64 tensors representing the desired padded shapes of the corresponding output components.
padding - Variable in class org.tensorflow.op.core.ExtractVolumePatches.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.image.ExtractImagePatches.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.AvgPool.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.AvgPool3d.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.AvgPool3dGrad.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.AvgPoolGrad.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Conv2d.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Conv3d.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Conv3dBackpropFilter.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNative.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Dilation2d.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Dilation2dBackpropFilter.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Dilation2dBackpropInput.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.FusedPadConv2d.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.MaxPool.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.MaxPool3d.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.MaxPool3dGrad.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.MaxPool3dGradGrad.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.MaxPoolGrad.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.MaxPoolGradGrad.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.MaxPoolWithArgmax.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.QuantizedAvgPool.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedMaxPool.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.xla.Conv.Inputs: the padding to apply at the start and end of each input dimensions
padding - Variable in class org.tensorflow.op.xla.ReduceWindow.Inputs: the padding to apply at the start and end of each input dimensions
padding - Variable in class org.tensorflow.op.xla.SelectAndScatter.Inputs: the padding to apply at the start and end of each input dimensions
PADDING_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferNodeInfo
PaddingFifoQueue - Class in org.tensorflow.op.io: A queue that produces elements in first-in first-out order.
PaddingFifoQueue(Operation) - Constructor for class org.tensorflow.op.io.PaddingFifoQueue
paddingFifoQueue(List<Class<? extends TType>>, PaddingFifoQueue.Options...) - Method in class org.tensorflow.op.IoOps: A queue that produces elements in first-in first-out order.
PaddingFifoQueue.Inputs - Class in org.tensorflow.op.io
PaddingFifoQueue.Options - Class in org.tensorflow.op.io: Optional attributes for PaddingFifoQueue
paddingHigh - Variable in class org.tensorflow.op.xla.Pad.Inputs: the padding to apply at the end of each input dimension.
paddingInterior - Variable in class org.tensorflow.op.xla.Pad.Inputs: the padding to apply between each input element.
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The paddingList attribute
paddingList(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Options: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Options: Sets the paddingList option.
paddingList(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu: Sets the paddingList option.
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The paddingList attribute
paddingList(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize: Sets the paddingList option.
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The paddingList attribute
paddingList(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Options: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Options: Sets the paddingList option.
paddingList(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize: Sets the paddingList option.
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The paddingList attribute
paddingList(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Options: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Options: Sets the paddingList option.
paddingList(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBias: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBias: Sets the paddingList option.
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The paddingList attribute
paddingList(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Options: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Options: Sets the paddingList option.
paddingList(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu: Sets the paddingList option.
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The paddingList attribute
paddingList(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize: Sets the paddingList option.
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The paddingList attribute
paddingList(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Options: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Options: Sets the paddingList option.
paddingList(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize: Sets the paddingList option.
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The paddingList attribute
paddingList(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize: Sets the paddingList option.
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The paddingList attribute
paddingList(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Options: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Options: Sets the paddingList option.
paddingList(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu: Sets the paddingList option.
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The paddingList attribute
paddingList(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize: Sets the paddingList option.
paddingList - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The paddingList attribute
paddingList(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Options: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Options: Sets the paddingList option.
paddingList(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu: Sets the paddingList option.
paddingList - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The paddingList attribute
paddingList(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize: Sets the paddingList option.
paddingLow - Variable in class org.tensorflow.op.xla.Pad.Inputs: the padding to apply at the start of each input dimensions.
paddingMap - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: The paddingMap attribute
paddingMap(List<String>) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the paddingMap option.
paddingMap(String...) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the paddingMap option.
paddingMap(List<String>) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the paddingMap option.
paddingMap(String...) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the paddingMap option.
paddingMap - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

The paddingMap attribute
paddingMap(List<String>) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the paddingMap option.
paddingMap(String...) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the paddingMap option.
paddingMap(List<String>) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the paddingMap option.
paddingMap(String...) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the paddingMap option.
paddings - Variable in class org.tensorflow.op.core.MirrorPad.Inputs: A two-column matrix specifying the padding sizes.
paddings - Variable in class org.tensorflow.op.core.MirrorPadGrad.Inputs: A two-column matrix specifying the padding sizes.
paddings - Variable in class org.tensorflow.op.core.Pad.Inputs: The paddings input
paddings - Variable in class org.tensorflow.op.core.SpaceToBatchNd.Inputs: 2-D with shape [M, 2], all values must be >= 0.
paddings - Variable in class org.tensorflow.op.nn.FusedPadConv2d.Inputs: A two-column matrix specifying the padding sizes.
paddings - Variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs: A two-column matrix specifying the padding sizes.
paddings - Variable in class org.tensorflow.op.nn.SpaceToBatch.Inputs: 2-D tensor of non-negative integers with shape [2, 2].
paddings - Variable in class org.tensorflow.op.risc.RiscPad.Inputs: The paddings input
paddings - Variable in class org.tensorflow.op.xla.AssignVariableConcatND.Inputs: Optional list of right paddings per dimension to strip from the final merged tensor.
paddings(List<Long>) - Method in class org.tensorflow.op.xla.AssignVariableConcatND.Options: Sets the paddings option.
paddings(Long...) - Method in class org.tensorflow.op.xla.AssignVariableConcatND.Options: Sets the paddings option.
paddings(List<Long>) - Static method in class org.tensorflow.op.xla.AssignVariableConcatND: Sets the paddings option.
paddings(Long...) - Static method in class org.tensorflow.op.xla.AssignVariableConcatND: Sets the paddings option.
paddings - Variable in class org.tensorflow.op.xla.ConcatND.Inputs: Optional list of right paddings per dimension to strip from the final merged tensor.
paddings(List<Long>) - Method in class org.tensorflow.op.xla.ConcatND.Options: Sets the paddings option.
paddings(Long...) - Method in class org.tensorflow.op.xla.ConcatND.Options: Sets the paddings option.
paddings(List<Long>) - Static method in class org.tensorflow.op.xla.ConcatND: Sets the paddings option.
paddings(Long...) - Static method in class org.tensorflow.op.xla.ConcatND: Sets the paddings option.
paddings - Variable in class org.tensorflow.op.xla.ReadVariableSplitND.Inputs: Optional list of right paddings per dimension of input tensor to apply before splitting.
paddings(List<Long>) - Method in class org.tensorflow.op.xla.ReadVariableSplitND.Options: Sets the paddings option.
paddings(Long...) - Method in class org.tensorflow.op.xla.ReadVariableSplitND.Options: Sets the paddings option.
paddings(List<Long>) - Static method in class org.tensorflow.op.xla.ReadVariableSplitND: Sets the paddings option.
paddings(Long...) - Static method in class org.tensorflow.op.xla.ReadVariableSplitND: Sets the paddings option.
paddings - Variable in class org.tensorflow.op.xla.SplitND.Inputs: Optional list of right paddings per dimension of input tensor to apply before splitting.
paddings(List<Long>) - Method in class org.tensorflow.op.xla.SplitND.Options: Sets the paddings option.
paddings(Long...) - Method in class org.tensorflow.op.xla.SplitND.Options: Sets the paddings option.
paddings(List<Long>) - Static method in class org.tensorflow.op.xla.SplitND: Sets the paddings option.
paddings(Long...) - Static method in class org.tensorflow.op.xla.SplitND: Sets the paddings option.
paddingValue - Variable in class org.tensorflow.op.linalg.MatrixDiag.Inputs: The number to fill the area outside the specified diagonal band with.
paddingValue - Variable in class org.tensorflow.op.linalg.MatrixDiagPart.Inputs: The value to fill the area outside the specified diagonal band with.
paddingValue - Variable in class org.tensorflow.op.linalg.MatrixDiagPartV3.Inputs: The value to fill the area outside the specified diagonal band with.
paddingValue - Variable in class org.tensorflow.op.linalg.MatrixDiagV3.Inputs: The number to fill the area outside the specified diagonal band with.
paddingValue - Variable in class org.tensorflow.op.xla.Pad.Inputs: A scalar Tensor of type T.
paddingValues - Variable in class org.tensorflow.op.data.PaddedBatchDataset.Inputs: A list of scalars containing the padding value to use for each of the outputs.
padPerClass - Variable in class org.tensorflow.op.image.CombinedNonMaxSuppression.Inputs: If false, the output nmsed boxes, scores and classes are padded/clipped to `max_total_size`.
padPerClass(Boolean) - Method in class org.tensorflow.op.image.CombinedNonMaxSuppression.Options: Sets the padPerClass option.
padPerClass(Boolean) - Static method in class org.tensorflow.op.image.CombinedNonMaxSuppression: Sets the padPerClass option.
padToMaxOutputSize - Variable in class org.tensorflow.op.image.NonMaxSuppression.Inputs: If true, the output `selected_indices` is padded to be of length `max_output_size`.
padToMaxOutputSize(Boolean) - Method in class org.tensorflow.op.image.NonMaxSuppression.Options: Sets the padToMaxOutputSize option.
padToMaxOutputSize(Boolean) - Static method in class org.tensorflow.op.image.NonMaxSuppression: Sets the padToMaxOutputSize option.
padWidth - Variable in class org.tensorflow.op.strings.StringNGrams.Inputs: The number of padding elements to add to each side of each sequence.
PairValue - Class in org.tensorflow.proto.framework: Represents a (key, value) pair.
PairValue.Builder - Class in org.tensorflow.proto.framework: Represents a (key, value) pair.
PairValueOrBuilder - Interface in org.tensorflow.proto.framework
PARALLEL_BATCH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.OptimizationOptions
PARALLEL_ITERATIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.WhileContextDef
ParallelBatchDataset - Class in org.tensorflow.op.data: The ParallelBatchDataset operation
ParallelBatchDataset(Operation) - Constructor for class org.tensorflow.op.data.ParallelBatchDataset
parallelBatchDataset(Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, Operand<TBool>, List<Class<? extends TType>>, List<Shape>, ParallelBatchDataset.Options...) - Method in class org.tensorflow.op.DataOps: The ParallelBatchDataset operation
ParallelBatchDataset.Inputs - Class in org.tensorflow.op.data
ParallelBatchDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ParallelBatchDataset
ParallelConcat<T extends TType> - Class in org.tensorflow.op.core: Concatenates a list of N tensors along the first dimension.
ParallelConcat(Operation) - Constructor for class org.tensorflow.op.core.ParallelConcat
parallelConcat(Iterable<Operand<T>>, Shape) - Method in class org.tensorflow.op.Ops: Concatenates a list of N tensors along the first dimension.
ParallelConcat.Inputs<T extends TType> - Class in org.tensorflow.op.core
parallelCopy - Variable in class org.tensorflow.op.data.BatchDataset.Inputs: The parallelCopy attribute
parallelCopy(Boolean) - Method in class org.tensorflow.op.data.BatchDataset.Options: Sets the parallelCopy option.
parallelCopy(Boolean) - Static method in class org.tensorflow.op.data.BatchDataset: Sets the parallelCopy option.
parallelCopy - Variable in class org.tensorflow.op.data.PaddedBatchDataset.Inputs: The parallelCopy attribute
parallelCopy(Boolean) - Method in class org.tensorflow.op.data.PaddedBatchDataset.Options: Sets the parallelCopy option.
parallelCopy(Boolean) - Static method in class org.tensorflow.op.data.PaddedBatchDataset: Sets the parallelCopy option.
parallelCopy - Variable in class org.tensorflow.op.data.ParallelBatchDataset.Inputs: The parallelCopy attribute
parallelCopy(Boolean) - Method in class org.tensorflow.op.data.ParallelBatchDataset.Options: Sets the parallelCopy option.
parallelCopy(Boolean) - Static method in class org.tensorflow.op.data.ParallelBatchDataset: Sets the parallelCopy option.
ParallelDynamicStitch<T extends TType> - Class in org.tensorflow.op.core: Interleave the values from the data tensors into a single tensor.
ParallelDynamicStitch(Operation) - Constructor for class org.tensorflow.op.core.ParallelDynamicStitch
parallelDynamicStitch(Iterable<Operand<TInt32>>, Iterable<Operand<T>>) - Method in class org.tensorflow.op.Ops: Interleave the values from the data tensors into a single tensor.
ParallelDynamicStitch.Inputs<T extends TType> - Class in org.tensorflow.op.core
ParallelInterleaveDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that applies f to the outputs of input_dataset.
ParallelInterleaveDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.ParallelInterleaveDataset
ParallelInterleaveDataset - Class in org.tensorflow.op.data: Creates a dataset that applies f to the outputs of input_dataset.
ParallelInterleaveDataset(Operation) - Constructor for class org.tensorflow.op.data.ParallelInterleaveDataset
parallelInterleaveDataset(Operand<? extends TType>, Iterable<Operand<?>>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, ParallelInterleaveDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that applies f to the outputs of input_dataset.
ParallelInterleaveDataset.Inputs - Class in org.tensorflow.op.data.experimental
ParallelInterleaveDataset.Inputs - Class in org.tensorflow.op.data
ParallelInterleaveDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ParallelInterleaveDataset
parallelIterations - Variable in class org.tensorflow.op.core.Enter.Inputs: The number of iterations allowed to run in parallel.
parallelIterations(Long) - Method in class org.tensorflow.op.core.Enter.Options: Sets the parallelIterations option.
parallelIterations(Long) - Static method in class org.tensorflow.op.core.Enter: Sets the parallelIterations option.
parallelIterations - Variable in class org.tensorflow.op.core.RefEnter.Inputs: The number of iterations allowed to run in parallel.
parallelIterations(Long) - Method in class org.tensorflow.op.core.RefEnter.Options: Sets the parallelIterations option.
parallelIterations(Long) - Static method in class org.tensorflow.op.core.RefEnter: Sets the parallelIterations option.
parallelIterations - Variable in class org.tensorflow.op.core.StatefulWhile.Inputs: The parallelIterations attribute
parallelIterations - Variable in class org.tensorflow.op.core.StatelessWhile.Inputs: The parallelIterations attribute
parallelIterations(Long) - Method in class org.tensorflow.op.core.While.Options: Sets the parallelIterations option.
parallelIterations(Long) - Static method in interface org.tensorflow.op.core.While: Sets the parallelIterations option.
parallelIterations - Variable in class org.tensorflow.op.risc.RiscWhile.Inputs: The parallelIterations attribute
parallelIterations(Long) - Method in class org.tensorflow.op.risc.RiscWhile.Options: Sets the parallelIterations option.
parallelIterations(Long) - Static method in class org.tensorflow.op.risc.RiscWhile: Sets the parallelIterations option.
ParallelMapDataset - Class in org.tensorflow.op.data: Creates a dataset that applies f to the outputs of input_dataset.
ParallelMapDataset(Operation) - Constructor for class org.tensorflow.op.data.ParallelMapDataset
parallelMapDataset(Operand<? extends TType>, Iterable<Operand<?>>, Operand<TInt64>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, ParallelMapDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that applies f to the outputs of input_dataset.
ParallelMapDataset.Inputs - Class in org.tensorflow.op.data
ParallelMapDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ParallelMapDataset
PARAMETER_MAP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
ParameterizedTruncatedNormal - Class in org.tensorflow.op.random: Outputs random values from a normal distribution.
ParameterizedTruncatedNormal(Operation) - Constructor for class org.tensorflow.op.random.ParameterizedTruncatedNormal
parameterizedTruncatedNormal(Operand<? extends TNumber>, Operand, Operand, Operand, Operand, ParameterizedTruncatedNormal.Options...) - Method in class org.tensorflow.op.RandomOps: Outputs random values from a normal distribution.
ParameterizedTruncatedNormal.Inputs - Class in org.tensorflow.op.random
ParameterizedTruncatedNormal.Options - Class in org.tensorflow.op.random: Optional attributes for ParameterizedTruncatedNormal
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Inputs: Value of parameters used in the Adadelta optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Inputs: Value of parameters used in the Adagrad Momentum optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Inputs: Value of parameters used in the Adagrad optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Inputs: Value of parameters used in the ADAM optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs: Value of parameters used in the centered RMSProp optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Inputs: Value of parameters used in the frequency estimator optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Inputs: Value of parameters used in the FTRL optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs: Value of parameters used in the MDL Adagrad Light optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Inputs: Value of parameters used in the Momentum optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Inputs: Value of parameters used in the proximal Adagrad optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Inputs: The parameters input
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Inputs: Value of parameters used in the RMSProp optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Inputs: Value of parameters used in the stochastic gradient descent optimization algorithm.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters: Gets parameters.
PARAMETERS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto.Node
params - Variable in class org.tensorflow.op.core.Gather.Inputs: The tensor from which to gather values.
params - Variable in class org.tensorflow.op.core.GatherNd.Inputs: The tensor from which to gather values.
params - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The params input
params - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The params input
params() - Method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: Gets params.
params - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The params input
params - Variable in class org.tensorflow.op.risc.RiscGather.Inputs: The params input
paramsBackprop() - Method in class org.tensorflow.op.nn.CudnnRNNBackprop: Gets paramsBackprop.
paramsDenseValues - Variable in class org.tensorflow.op.ragged.RaggedGather.Inputs: The flat_values for the params RaggedTensor.
paramsNestedSplits - Variable in class org.tensorflow.op.ragged.RaggedGather.Inputs: The nested_row_splits tensors that define the row-partitioning for the params RaggedTensor input.
paramsSize() - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize: Gets paramsSize.
parent() - Method in class org.tensorflow.internal.c_api.TF_Graph
parent(TF_Graph) - Method in class org.tensorflow.internal.c_api.TF_Graph
parent_inputs() - Method in class org.tensorflow.internal.c_api.TF_Graph
parent_inputs(TF_Output) - Method in class org.tensorflow.internal.c_api.TF_Graph
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.AutotuneOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.AutotuneOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.DistributeOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DistributeOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.experimental.SnapshotRecord
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.SnapshotRecord
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.experimental.TensorMetadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.TensorMetadata
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.model.ModelProto.Node
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.ModelProto.Node
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.model.ModelProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.ModelProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.OptimizationOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.OptimizationOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.Options
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.Options
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.ThreadingOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.ThreadingOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.distruntime.ClusterDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.ClusterDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.distruntime.JobDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.JobDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.distruntime.JobDeviceFilters
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.JobDeviceFilters
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.distruntime.ServerDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.ServerDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.example.BytesList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.BytesList
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.example.Example
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.Example
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.example.ExampleParserConfiguration
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.ExampleParserConfiguration
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.example.Feature
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.Feature
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.example.FeatureConfiguration
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FeatureConfiguration
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.example.FeatureList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FeatureList
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.example.FeatureLists
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FeatureLists
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.example.Features
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.Features
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.example.FixedLenFeatureProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FixedLenFeatureProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.example.FloatList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FloatList
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.example.Int64List
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.Int64List
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.example.SequenceExample
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.SequenceExample
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.example.VarLenFeatureProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.VarLenFeatureProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.AllocationDescription
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AllocationDescription
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.AllocationRecord
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AllocationRecord
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ApiDef.Arg
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDef.Arg
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ApiDef.Attr
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDef.Attr
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ApiDef.Endpoint
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDef.Endpoint
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ApiDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ApiDefs
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDefs
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.AssetFileDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AssetFileDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.AttrValue.ListValue
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AttrValue.ListValue
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.AttrValue
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AttrValue
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.AutoParallelOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AutoParallelOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CallableOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CallableOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CapturedTensor
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CapturedTensor
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CollectionDef.AnyList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.AnyList
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CollectionDef.BytesList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.BytesList
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CollectionDef.FloatList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.FloatList
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CollectionDef.Int64List
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.Int64List
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CollectionDef.NodeList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.NodeList
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CollectionDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CondContextDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CondContextDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ConfigProto.Experimental
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ConfigProto.Experimental
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ConfigProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ConfigProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ControlFlowContextDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ControlFlowContextDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CostGraphDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.DebuggedSourceFile
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DebuggedSourceFile
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.DebuggedSourceFiles
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DebuggedSourceFiles
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.DebugOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DebugOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.DebugTensorWatch
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DebugTensorWatch
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.DeviceAttributes
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DeviceAttributes
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.DeviceLocality
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DeviceLocality
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.DeviceProperties
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DeviceProperties
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.DeviceStepStats
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DeviceStepStats
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.DictValue
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DictValue
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.FullTypeDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FullTypeDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.FunctionDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FunctionDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.FunctionDefLibrary
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FunctionDefLibrary
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.FunctionSpec
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FunctionSpec
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GPUOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GPUOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GradientDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GradientDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GraphDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GraphOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GraphTransferInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInput
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInput
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.HistogramProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.HistogramProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.InterconnectLink
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.InterconnectLink
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.KernelDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.KernelDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.KernelList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.KernelList
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ListValue
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ListValue
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.LocalLinks
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.LocalLinks
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.LogNormalDistribution
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.LogNormalDistribution
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.MemoryLogStep
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogStep
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.MemoryStats
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryStats
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.MetaGraphDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MetaGraphDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.NameAttrList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NameAttrList
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.NamedDevice
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NamedDevice
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.NamedTensorProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NamedTensorProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.NamedTupleValue
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NamedTupleValue
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.NodeDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NodeDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.NodeExecStats
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NodeExecStats
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.NodeOutput
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NodeOutput
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.NoneValue
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NoneValue
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.NormalDistribution
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NormalDistribution
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.OpDef.ArgDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpDef.ArgDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.OpDef.AttrDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpDef.AttrDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.OpDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.OpDeprecation
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpDeprecation
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.OpInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.OpList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpList
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.OpPerformance
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpPerformance
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.OpPerformanceList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpPerformanceList
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.OptimizerOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OptimizerOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.PairValue
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.PairValue
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.QueueRunnerDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.QueueRunnerDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ReaderBaseState
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ReaderBaseState
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.RegisteredGradient
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RegisteredGradient
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.RemoteTensorHandle
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RemoteTensorHandle
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ResourceHandleProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ResourceHandleProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.RewriterConfig
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RewriterConfig
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.RPCOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RPCOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.RunMetadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunMetadata
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.RunOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SaveableObject
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SaveableObject
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SavedAsset
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedAsset
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SavedConcreteFunction
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedConcreteFunction
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SavedConstant
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedConstant
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SavedFunction
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedFunction
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SavedModel
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedModel
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SavedObject
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedObject
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SavedObjectGraph
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedObjectGraph
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SavedResource
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedResource
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SavedUserObject
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedUserObject
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SavedVariable
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedVariable
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SaveSliceInfoDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SaveSliceInfoDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SessionInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SessionInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SessionMetadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SessionMetadata
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SignatureDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SignatureDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.Status.DerivedStatus
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Status.DerivedStatus
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.StepStats
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.StepStats
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.StructuredValue
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.StructuredValue
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.Summary.Audio
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Summary.Audio
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.Summary.Image
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Summary.Image
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.Summary
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Summary
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.Summary.Value
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Summary.Value
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SummaryDescription
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SummaryDescription
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SummaryMetadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SummaryMetadata
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TensorConnection
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorConnection
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TensorDescription
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorDescription
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TensorInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TensorProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TensorShapeProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorShapeProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TensorSliceProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorSliceProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TensorSpecProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorSpecProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TupleValue
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TupleValue
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TypeSpecProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TypeSpecProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ValuesDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ValuesDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.VariableDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.VariableDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.VariantTensorDataProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.VariantTensorDataProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.VerifierConfig
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.VerifierConfig
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.VersionDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.VersionDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.framework.WhileContextDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.WhileContextDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.ProfileOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.ProfileOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.XEvent
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XEvent
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.XEventMetadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XEventMetadata
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.XLine
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XLine
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.XPlane
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XPlane
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.XSpace
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XSpace
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.XStat
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XStat
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.XStatMetadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XStatMetadata
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.BinSummary
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.BinSummary
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.BundleEntryProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.BundleEntryProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.BundleHeaderProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.BundleHeaderProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.CodeLocation
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.CodeLocation
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.DebugEvent
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.DebugEvent
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.DebuggedDevice
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.DebuggedDevice
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.DebuggedGraph
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.DebuggedGraph
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.DebugMetadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.DebugMetadata
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.Event
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.Event
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.Execution
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.Execution
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.GraphExecutionTrace
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.GraphExecutionTrace
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.GraphOpCreation
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.GraphOpCreation
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.LogMessage: Deprecated.
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.LogMessage: Deprecated.
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.MemAllocatorStats
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemAllocatorStats
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.MemChunk
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemChunk
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.MemoryDump
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemoryDump
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.RequestedExitCode
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.RequestedExitCode
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.SavedSlice
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SavedSlice
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.SavedSliceMeta
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SavedSliceMeta
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.SavedTensorSliceMeta
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SavedTensorSliceMeta
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.SavedTensorSlices
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SavedTensorSlices
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.SaverDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SaverDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.SessionLog
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SessionLog
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.SnapShot
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SnapShot
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.SourceFile
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SourceFile
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.StackFrameWithId
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.StackFrameWithId
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.TaggedRunMetadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.TaggedRunMetadata
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.testlog.BuildConfiguration
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.BuildConfiguration
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.testlog.CommitId
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.CommitId
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.testlog.CPUInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.CPUInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.testlog.EntryValue
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.EntryValue
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.testlog.GPUInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.GPUInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.testlog.MachineConfiguration
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.MachineConfiguration
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.testlog.MemoryInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.MemoryInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.testlog.MetricEntry
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.MetricEntry
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.testlog.PlatformInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.PlatformInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.testlog.RunConfiguration
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.RunConfiguration
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.testlog.TestResults
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.TestResults
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.WatchdogConfig
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.WatchdogConfig
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
ParseExample - Class in org.tensorflow.op.io: Transforms a vector of tf.Example protos (as strings) into typed tensors.
ParseExample(Operation) - Constructor for class org.tensorflow.op.io.ParseExample
parseExample(Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Iterable<Operand<?>>, Long, List<Class<? extends TType>>, List<Class<? extends TType>>, List<Class<? extends TNumber>>, List<Shape>) - Method in class org.tensorflow.op.IoOps: Transforms a vector of tf.Example protos (as strings) into typed tensors.
ParseExample.Inputs - Class in org.tensorflow.op.io
ParseExampleDataset - Class in org.tensorflow.op.data.experimental: Transforms input_dataset containing Example protos as vectors of DT_STRING into a dataset of Tensor or SparseTensor objects representing the parsed features.
ParseExampleDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.ParseExampleDataset
ParseExampleDataset - Class in org.tensorflow.op.data: Transforms input_dataset containing Example protos as vectors of DT_STRING into a dataset of Tensor or SparseTensor objects representing the parsed features.
ParseExampleDataset(Operation) - Constructor for class org.tensorflow.op.data.ParseExampleDataset
parseExampleDataset(Operand<? extends TType>, Operand<TInt64>, Iterable<Operand<?>>, List<String>, List<String>, List<Class<? extends TType>>, List<Shape>, List<Class<? extends TType>>, List<Shape>, List<Class<? extends TType>>, List<Class<? extends TNumber>>, ParseExampleDataset.Options...) - Method in class org.tensorflow.op.DataOps: Transforms input_dataset containing Example protos as vectors of DT_STRING into a dataset of Tensor or SparseTensor objects representing the parsed features.
ParseExampleDataset.Inputs - Class in org.tensorflow.op.data.experimental
ParseExampleDataset.Inputs - Class in org.tensorflow.op.data
ParseExampleDataset.Options - Class in org.tensorflow.op.data.experimental: Optional attributes for ParseExampleDataset
ParseExampleDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ParseExampleDataset
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.AutotuneOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.AutotuneOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.AutotuneOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.AutotuneOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.AutotuneOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.AutotuneOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.AutotuneOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.AutotuneOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.AutotuneOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.AutotuneOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.DistributeOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DistributeOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.DistributeOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DistributeOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.DistributeOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DistributeOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.DistributeOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DistributeOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.DistributeOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DistributeOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.experimental.SnapshotRecord
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.SnapshotRecord
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.experimental.SnapshotRecord
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.SnapshotRecord
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.experimental.SnapshotRecord
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.SnapshotRecord
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.experimental.SnapshotRecord
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.SnapshotRecord
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.experimental.SnapshotRecord
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.SnapshotRecord
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.experimental.TensorMetadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.TensorMetadata
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.experimental.TensorMetadata
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.TensorMetadata
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.experimental.TensorMetadata
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.TensorMetadata
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.experimental.TensorMetadata
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.TensorMetadata
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.experimental.TensorMetadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.TensorMetadata
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.model.ModelProto.Node
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.ModelProto.Node
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.model.ModelProto.Node
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.ModelProto.Node
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.model.ModelProto.Node
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.ModelProto.Node
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.model.ModelProto.Node
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.ModelProto.Node
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.model.ModelProto.Node
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.ModelProto.Node
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.model.ModelProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.ModelProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.model.ModelProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.ModelProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.model.ModelProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.ModelProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.model.ModelProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.ModelProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.model.ModelProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.ModelProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.OptimizationOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.OptimizationOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.OptimizationOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.OptimizationOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.OptimizationOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.OptimizationOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.OptimizationOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.OptimizationOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.OptimizationOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.OptimizationOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.Options
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.Options
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.Options
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.Options
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.Options
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.Options
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.Options
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.Options
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.Options
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.Options
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.ThreadingOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.ThreadingOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.ThreadingOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.ThreadingOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.ThreadingOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.ThreadingOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.ThreadingOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.ThreadingOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.ThreadingOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.ThreadingOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.distruntime.ClusterDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.ClusterDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.distruntime.ClusterDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.ClusterDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.distruntime.ClusterDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.ClusterDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.distruntime.ClusterDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.ClusterDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.distruntime.ClusterDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.ClusterDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
parseFrom(ByteString) - Static method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
parseFrom(byte[]) - Static method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
parseFrom(InputStream) - Static method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.distruntime.JobDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.JobDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.distruntime.JobDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.JobDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.distruntime.JobDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.JobDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.distruntime.JobDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.JobDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.distruntime.JobDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.JobDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.distruntime.JobDeviceFilters
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.JobDeviceFilters
parseFrom(ByteString) - Static method in class org.tensorflow.proto.distruntime.JobDeviceFilters
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.JobDeviceFilters
parseFrom(byte[]) - Static method in class org.tensorflow.proto.distruntime.JobDeviceFilters
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.JobDeviceFilters
parseFrom(InputStream) - Static method in class org.tensorflow.proto.distruntime.JobDeviceFilters
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.JobDeviceFilters
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.distruntime.JobDeviceFilters
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.JobDeviceFilters
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.distruntime.ServerDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.ServerDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.distruntime.ServerDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.ServerDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.distruntime.ServerDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.ServerDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.distruntime.ServerDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.ServerDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.distruntime.ServerDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.ServerDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
parseFrom(ByteString) - Static method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
parseFrom(byte[]) - Static method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
parseFrom(InputStream) - Static method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
parseFrom(ByteString) - Static method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
parseFrom(byte[]) - Static method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
parseFrom(InputStream) - Static method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.example.BytesList
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.BytesList
parseFrom(ByteString) - Static method in class org.tensorflow.proto.example.BytesList
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.BytesList
parseFrom(byte[]) - Static method in class org.tensorflow.proto.example.BytesList
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.BytesList
parseFrom(InputStream) - Static method in class org.tensorflow.proto.example.BytesList
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.BytesList
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.example.BytesList
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.BytesList
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.example.Example
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.Example
parseFrom(ByteString) - Static method in class org.tensorflow.proto.example.Example
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.Example
parseFrom(byte[]) - Static method in class org.tensorflow.proto.example.Example
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.Example
parseFrom(InputStream) - Static method in class org.tensorflow.proto.example.Example
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.Example
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.example.Example
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.Example
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.example.ExampleParserConfiguration
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.ExampleParserConfiguration
parseFrom(ByteString) - Static method in class org.tensorflow.proto.example.ExampleParserConfiguration
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.ExampleParserConfiguration
parseFrom(byte[]) - Static method in class org.tensorflow.proto.example.ExampleParserConfiguration
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.ExampleParserConfiguration
parseFrom(InputStream) - Static method in class org.tensorflow.proto.example.ExampleParserConfiguration
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.ExampleParserConfiguration
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.example.ExampleParserConfiguration
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.ExampleParserConfiguration
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.example.Feature
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.Feature
parseFrom(ByteString) - Static method in class org.tensorflow.proto.example.Feature
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.Feature
parseFrom(byte[]) - Static method in class org.tensorflow.proto.example.Feature
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.Feature
parseFrom(InputStream) - Static method in class org.tensorflow.proto.example.Feature
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.Feature
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.example.Feature
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.Feature
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.example.FeatureConfiguration
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FeatureConfiguration
parseFrom(ByteString) - Static method in class org.tensorflow.proto.example.FeatureConfiguration
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FeatureConfiguration
parseFrom(byte[]) - Static method in class org.tensorflow.proto.example.FeatureConfiguration
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FeatureConfiguration
parseFrom(InputStream) - Static method in class org.tensorflow.proto.example.FeatureConfiguration
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FeatureConfiguration
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.example.FeatureConfiguration
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FeatureConfiguration
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.example.FeatureList
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FeatureList
parseFrom(ByteString) - Static method in class org.tensorflow.proto.example.FeatureList
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FeatureList
parseFrom(byte[]) - Static method in class org.tensorflow.proto.example.FeatureList
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FeatureList
parseFrom(InputStream) - Static method in class org.tensorflow.proto.example.FeatureList
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FeatureList
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.example.FeatureList
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FeatureList
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.example.FeatureLists
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FeatureLists
parseFrom(ByteString) - Static method in class org.tensorflow.proto.example.FeatureLists
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FeatureLists
parseFrom(byte[]) - Static method in class org.tensorflow.proto.example.FeatureLists
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FeatureLists
parseFrom(InputStream) - Static method in class org.tensorflow.proto.example.FeatureLists
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FeatureLists
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.example.FeatureLists
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FeatureLists
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.example.Features
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.Features
parseFrom(ByteString) - Static method in class org.tensorflow.proto.example.Features
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.Features
parseFrom(byte[]) - Static method in class org.tensorflow.proto.example.Features
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.Features
parseFrom(InputStream) - Static method in class org.tensorflow.proto.example.Features
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.Features
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.example.Features
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.Features
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.example.FixedLenFeatureProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FixedLenFeatureProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.example.FixedLenFeatureProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FixedLenFeatureProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.example.FixedLenFeatureProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FixedLenFeatureProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.example.FixedLenFeatureProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FixedLenFeatureProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.example.FixedLenFeatureProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FixedLenFeatureProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.example.FloatList
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FloatList
parseFrom(ByteString) - Static method in class org.tensorflow.proto.example.FloatList
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FloatList
parseFrom(byte[]) - Static method in class org.tensorflow.proto.example.FloatList
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FloatList
parseFrom(InputStream) - Static method in class org.tensorflow.proto.example.FloatList
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FloatList
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.example.FloatList
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FloatList
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.example.Int64List
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.Int64List
parseFrom(ByteString) - Static method in class org.tensorflow.proto.example.Int64List
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.Int64List
parseFrom(byte[]) - Static method in class org.tensorflow.proto.example.Int64List
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.Int64List
parseFrom(InputStream) - Static method in class org.tensorflow.proto.example.Int64List
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.Int64List
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.example.Int64List
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.Int64List
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.example.SequenceExample
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.SequenceExample
parseFrom(ByteString) - Static method in class org.tensorflow.proto.example.SequenceExample
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.SequenceExample
parseFrom(byte[]) - Static method in class org.tensorflow.proto.example.SequenceExample
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.SequenceExample
parseFrom(InputStream) - Static method in class org.tensorflow.proto.example.SequenceExample
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.SequenceExample
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.example.SequenceExample
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.SequenceExample
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.example.VarLenFeatureProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.VarLenFeatureProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.example.VarLenFeatureProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.VarLenFeatureProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.example.VarLenFeatureProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.VarLenFeatureProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.example.VarLenFeatureProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.VarLenFeatureProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.example.VarLenFeatureProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.VarLenFeatureProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.AllocationDescription
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AllocationDescription
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.AllocationDescription
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AllocationDescription
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.AllocationDescription
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AllocationDescription
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.AllocationDescription
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AllocationDescription
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.AllocationDescription
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AllocationDescription
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.AllocationRecord
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AllocationRecord
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.AllocationRecord
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AllocationRecord
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.AllocationRecord
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AllocationRecord
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.AllocationRecord
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AllocationRecord
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.AllocationRecord
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AllocationRecord
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.ApiDef.Arg
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDef.Arg
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.ApiDef.Arg
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDef.Arg
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.ApiDef.Arg
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDef.Arg
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ApiDef.Arg
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDef.Arg
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.ApiDef.Arg
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDef.Arg
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.ApiDef.Attr
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDef.Attr
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.ApiDef.Attr
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDef.Attr
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.ApiDef.Attr
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDef.Attr
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ApiDef.Attr
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDef.Attr
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.ApiDef.Attr
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDef.Attr
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.ApiDef.Endpoint
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDef.Endpoint
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.ApiDef.Endpoint
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDef.Endpoint
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.ApiDef.Endpoint
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDef.Endpoint
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ApiDef.Endpoint
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDef.Endpoint
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.ApiDef.Endpoint
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDef.Endpoint
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.ApiDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.ApiDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.ApiDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ApiDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.ApiDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.ApiDefs
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDefs
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.ApiDefs
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDefs
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.ApiDefs
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDefs
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ApiDefs
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDefs
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.ApiDefs
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDefs
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.AssetFileDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AssetFileDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.AssetFileDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AssetFileDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.AssetFileDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AssetFileDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.AssetFileDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AssetFileDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.AssetFileDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AssetFileDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.AttrValue.ListValue
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AttrValue.ListValue
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.AttrValue.ListValue
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AttrValue.ListValue
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.AttrValue.ListValue
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AttrValue.ListValue
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.AttrValue.ListValue
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AttrValue.ListValue
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.AttrValue.ListValue
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AttrValue.ListValue
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.AttrValue
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AttrValue
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.AttrValue
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AttrValue
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.AttrValue
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AttrValue
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.AttrValue
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AttrValue
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.AttrValue
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AttrValue
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.AutoParallelOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AutoParallelOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.AutoParallelOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AutoParallelOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.AutoParallelOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AutoParallelOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.AutoParallelOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AutoParallelOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.AutoParallelOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AutoParallelOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.CallableOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CallableOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.CallableOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CallableOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.CallableOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CallableOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CallableOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CallableOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.CallableOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CallableOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.CapturedTensor
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CapturedTensor
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.CapturedTensor
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CapturedTensor
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.CapturedTensor
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CapturedTensor
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CapturedTensor
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CapturedTensor
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.CapturedTensor
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CapturedTensor
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.CollectionDef.AnyList
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.AnyList
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.CollectionDef.AnyList
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.AnyList
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.CollectionDef.AnyList
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.AnyList
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CollectionDef.AnyList
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.AnyList
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.CollectionDef.AnyList
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.AnyList
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.CollectionDef.BytesList
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.BytesList
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.CollectionDef.BytesList
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.BytesList
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.CollectionDef.BytesList
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.BytesList
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CollectionDef.BytesList
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.BytesList
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.CollectionDef.BytesList
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.BytesList
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.CollectionDef.FloatList
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.FloatList
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.CollectionDef.FloatList
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.FloatList
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.CollectionDef.FloatList
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.FloatList
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CollectionDef.FloatList
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.FloatList
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.CollectionDef.FloatList
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.FloatList
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.CollectionDef.Int64List
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.Int64List
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.CollectionDef.Int64List
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.Int64List
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.CollectionDef.Int64List
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.Int64List
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CollectionDef.Int64List
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.Int64List
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.CollectionDef.Int64List
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.Int64List
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.CollectionDef.NodeList
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.NodeList
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.CollectionDef.NodeList
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.NodeList
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.CollectionDef.NodeList
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.NodeList
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CollectionDef.NodeList
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.NodeList
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.CollectionDef.NodeList
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef.NodeList
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.CollectionDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.CollectionDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.CollectionDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CollectionDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.CollectionDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CollectionDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.CondContextDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CondContextDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.CondContextDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CondContextDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.CondContextDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CondContextDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CondContextDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CondContextDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.CondContextDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CondContextDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.ConfigProto.Experimental
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ConfigProto.Experimental
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.ConfigProto.Experimental
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ConfigProto.Experimental
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.ConfigProto.Experimental
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ConfigProto.Experimental
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ConfigProto.Experimental
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ConfigProto.Experimental
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.ConfigProto.Experimental
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ConfigProto.Experimental
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.ConfigProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ConfigProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.ConfigProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ConfigProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.ConfigProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ConfigProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ConfigProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ConfigProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.ConfigProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ConfigProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.ControlFlowContextDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ControlFlowContextDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.ControlFlowContextDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ControlFlowContextDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.ControlFlowContextDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ControlFlowContextDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ControlFlowContextDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ControlFlowContextDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.ControlFlowContextDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ControlFlowContextDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.CostGraphDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.CostGraphDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.CostGraphDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.CostGraphDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.CostGraphDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.DebuggedSourceFile
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DebuggedSourceFile
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.DebuggedSourceFile
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DebuggedSourceFile
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.DebuggedSourceFile
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DebuggedSourceFile
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.DebuggedSourceFile
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DebuggedSourceFile
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.DebuggedSourceFile
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DebuggedSourceFile
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.DebuggedSourceFiles
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DebuggedSourceFiles
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.DebuggedSourceFiles
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DebuggedSourceFiles
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.DebuggedSourceFiles
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DebuggedSourceFiles
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.DebuggedSourceFiles
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DebuggedSourceFiles
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.DebuggedSourceFiles
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DebuggedSourceFiles
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.DebugOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DebugOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.DebugOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DebugOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.DebugOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DebugOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.DebugOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DebugOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.DebugOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DebugOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.DebugTensorWatch
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DebugTensorWatch
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.DebugTensorWatch
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DebugTensorWatch
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.DebugTensorWatch
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DebugTensorWatch
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.DebugTensorWatch
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DebugTensorWatch
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.DebugTensorWatch
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DebugTensorWatch
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.DeviceAttributes
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DeviceAttributes
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.DeviceAttributes
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DeviceAttributes
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.DeviceAttributes
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DeviceAttributes
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.DeviceAttributes
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DeviceAttributes
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.DeviceAttributes
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DeviceAttributes
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.DeviceLocality
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DeviceLocality
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.DeviceLocality
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DeviceLocality
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.DeviceLocality
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DeviceLocality
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.DeviceLocality
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DeviceLocality
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.DeviceLocality
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DeviceLocality
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.DeviceProperties
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DeviceProperties
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.DeviceProperties
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DeviceProperties
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.DeviceProperties
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DeviceProperties
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.DeviceProperties
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DeviceProperties
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.DeviceProperties
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DeviceProperties
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.DeviceStepStats
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DeviceStepStats
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.DeviceStepStats
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DeviceStepStats
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.DeviceStepStats
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DeviceStepStats
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.DeviceStepStats
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DeviceStepStats
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.DeviceStepStats
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DeviceStepStats
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.DictValue
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DictValue
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.DictValue
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DictValue
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.DictValue
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DictValue
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.DictValue
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DictValue
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.DictValue
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DictValue
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.FullTypeDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FullTypeDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.FullTypeDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FullTypeDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.FullTypeDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FullTypeDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.FullTypeDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FullTypeDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.FullTypeDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FullTypeDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.FunctionDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FunctionDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.FunctionDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FunctionDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.FunctionDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FunctionDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.FunctionDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FunctionDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.FunctionDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FunctionDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.FunctionDefLibrary
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FunctionDefLibrary
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.FunctionDefLibrary
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FunctionDefLibrary
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.FunctionDefLibrary
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FunctionDefLibrary
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.FunctionDefLibrary
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FunctionDefLibrary
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.FunctionDefLibrary
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FunctionDefLibrary
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.FunctionSpec
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FunctionSpec
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.FunctionSpec
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FunctionSpec
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.FunctionSpec
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FunctionSpec
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.FunctionSpec
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FunctionSpec
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.FunctionSpec
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FunctionSpec
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.GPUOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GPUOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.GPUOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GPUOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.GPUOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GPUOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GPUOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GPUOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.GPUOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GPUOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.GradientDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GradientDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.GradientDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GradientDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.GradientDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GradientDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GradientDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GradientDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.GradientDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GradientDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.GraphDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.GraphDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.GraphDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GraphDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.GraphDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.GraphOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.GraphOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.GraphOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GraphOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.GraphOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.GraphTransferInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.GraphTransferInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.GraphTransferInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GraphTransferInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.GraphTransferInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInput
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInput
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInput
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInput
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInput
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInput
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInput
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInput
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInput
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInput
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.HistogramProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.HistogramProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.HistogramProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.HistogramProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.HistogramProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.HistogramProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.HistogramProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.HistogramProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.HistogramProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.HistogramProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.InterconnectLink
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.InterconnectLink
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.InterconnectLink
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.InterconnectLink
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.InterconnectLink
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.InterconnectLink
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.InterconnectLink
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.InterconnectLink
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.InterconnectLink
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.InterconnectLink
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.KernelDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.KernelDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.KernelDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.KernelDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.KernelDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.KernelDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.KernelDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.KernelDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.KernelDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.KernelDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.KernelList
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.KernelList
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.KernelList
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.KernelList
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.KernelList
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.KernelList
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.KernelList
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.KernelList
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.KernelList
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.KernelList
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.ListValue
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ListValue
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.ListValue
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ListValue
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.ListValue
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ListValue
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ListValue
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ListValue
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.ListValue
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ListValue
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.LocalLinks
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.LocalLinks
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.LocalLinks
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.LocalLinks
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.LocalLinks
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.LocalLinks
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.LocalLinks
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.LocalLinks
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.LocalLinks
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.LocalLinks
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.LogNormalDistribution
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.LogNormalDistribution
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.LogNormalDistribution
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.LogNormalDistribution
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.LogNormalDistribution
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.LogNormalDistribution
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.LogNormalDistribution
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.LogNormalDistribution
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.LogNormalDistribution
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.LogNormalDistribution
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.MemoryLogStep
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogStep
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.MemoryLogStep
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogStep
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.MemoryLogStep
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogStep
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.MemoryLogStep
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogStep
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.MemoryLogStep
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogStep
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.MemoryStats
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryStats
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.MemoryStats
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryStats
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.MemoryStats
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryStats
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.MemoryStats
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryStats
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.MemoryStats
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MemoryStats
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.MetaGraphDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MetaGraphDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.MetaGraphDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MetaGraphDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.MetaGraphDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MetaGraphDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.MetaGraphDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MetaGraphDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.MetaGraphDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MetaGraphDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.NameAttrList
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NameAttrList
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.NameAttrList
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NameAttrList
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.NameAttrList
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NameAttrList
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.NameAttrList
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NameAttrList
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.NameAttrList
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NameAttrList
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.NamedDevice
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NamedDevice
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.NamedDevice
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NamedDevice
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.NamedDevice
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NamedDevice
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.NamedDevice
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NamedDevice
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.NamedDevice
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NamedDevice
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.NamedTensorProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NamedTensorProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.NamedTensorProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NamedTensorProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.NamedTensorProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NamedTensorProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.NamedTensorProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NamedTensorProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.NamedTensorProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NamedTensorProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.NamedTupleValue
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NamedTupleValue
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.NamedTupleValue
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NamedTupleValue
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.NamedTupleValue
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NamedTupleValue
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.NamedTupleValue
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NamedTupleValue
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.NamedTupleValue
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NamedTupleValue
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.NodeDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NodeDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.NodeDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NodeDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.NodeDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NodeDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.NodeDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NodeDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.NodeDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NodeDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.NodeExecStats
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NodeExecStats
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.NodeExecStats
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NodeExecStats
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.NodeExecStats
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NodeExecStats
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.NodeExecStats
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NodeExecStats
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.NodeExecStats
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NodeExecStats
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.NodeOutput
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NodeOutput
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.NodeOutput
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NodeOutput
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.NodeOutput
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NodeOutput
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.NodeOutput
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NodeOutput
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.NodeOutput
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NodeOutput
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.NoneValue
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NoneValue
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.NoneValue
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NoneValue
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.NoneValue
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NoneValue
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.NoneValue
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NoneValue
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.NoneValue
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NoneValue
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.NormalDistribution
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NormalDistribution
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.NormalDistribution
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NormalDistribution
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.NormalDistribution
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NormalDistribution
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.NormalDistribution
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NormalDistribution
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.NormalDistribution
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NormalDistribution
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.OpDef.ArgDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpDef.ArgDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.OpDef.ArgDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpDef.ArgDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.OpDef.ArgDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpDef.ArgDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.OpDef.ArgDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpDef.ArgDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.OpDef.ArgDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpDef.ArgDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.OpDef.AttrDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpDef.AttrDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.OpDef.AttrDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpDef.AttrDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.OpDef.AttrDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpDef.AttrDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.OpDef.AttrDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpDef.AttrDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.OpDef.AttrDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpDef.AttrDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.OpDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.OpDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.OpDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.OpDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.OpDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.OpDeprecation
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpDeprecation
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.OpDeprecation
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpDeprecation
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.OpDeprecation
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpDeprecation
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.OpDeprecation
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpDeprecation
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.OpDeprecation
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpDeprecation
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.OpInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.OpInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.OpInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.OpInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.OpInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.OpList
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpList
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.OpList
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpList
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.OpList
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpList
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.OpList
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpList
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.OpList
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpList
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.OpPerformance
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpPerformance
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.OpPerformance
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpPerformance
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.OpPerformance
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpPerformance
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.OpPerformance
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpPerformance
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.OpPerformance
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpPerformance
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.OpPerformanceList
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpPerformanceList
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.OpPerformanceList
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpPerformanceList
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.OpPerformanceList
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpPerformanceList
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.OpPerformanceList
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpPerformanceList
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.OpPerformanceList
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpPerformanceList
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.OptimizerOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OptimizerOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.OptimizerOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OptimizerOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.OptimizerOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OptimizerOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.OptimizerOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OptimizerOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.OptimizerOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OptimizerOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.PairValue
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.PairValue
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.PairValue
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.PairValue
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.PairValue
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.PairValue
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.PairValue
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.PairValue
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.PairValue
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.PairValue
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.QueueRunnerDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.QueueRunnerDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.QueueRunnerDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.QueueRunnerDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.QueueRunnerDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.QueueRunnerDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.QueueRunnerDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.QueueRunnerDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.QueueRunnerDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.QueueRunnerDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.ReaderBaseState
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ReaderBaseState
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.ReaderBaseState
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ReaderBaseState
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.ReaderBaseState
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ReaderBaseState
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ReaderBaseState
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ReaderBaseState
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.ReaderBaseState
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ReaderBaseState
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.RegisteredGradient
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RegisteredGradient
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.RegisteredGradient
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RegisteredGradient
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.RegisteredGradient
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RegisteredGradient
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.RegisteredGradient
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RegisteredGradient
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.RegisteredGradient
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RegisteredGradient
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.RemoteTensorHandle
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RemoteTensorHandle
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.RemoteTensorHandle
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RemoteTensorHandle
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.RemoteTensorHandle
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RemoteTensorHandle
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.RemoteTensorHandle
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RemoteTensorHandle
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.RemoteTensorHandle
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RemoteTensorHandle
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.ResourceHandleProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ResourceHandleProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.ResourceHandleProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ResourceHandleProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.ResourceHandleProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ResourceHandleProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ResourceHandleProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ResourceHandleProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.ResourceHandleProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ResourceHandleProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.RewriterConfig
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RewriterConfig
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.RewriterConfig
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RewriterConfig
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.RewriterConfig
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RewriterConfig
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.RewriterConfig
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RewriterConfig
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.RewriterConfig
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RewriterConfig
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.RPCOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RPCOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.RPCOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RPCOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.RPCOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RPCOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.RPCOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RPCOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.RPCOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RPCOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.RunMetadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunMetadata
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.RunMetadata
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunMetadata
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.RunMetadata
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunMetadata
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.RunMetadata
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunMetadata
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.RunMetadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunMetadata
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.RunOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.RunOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.RunOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.RunOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.RunOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RunOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.SaveableObject
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SaveableObject
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.SaveableObject
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SaveableObject
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.SaveableObject
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SaveableObject
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SaveableObject
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SaveableObject
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.SaveableObject
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SaveableObject
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.SavedAsset
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedAsset
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.SavedAsset
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedAsset
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.SavedAsset
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedAsset
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SavedAsset
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedAsset
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.SavedAsset
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedAsset
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.SavedConcreteFunction
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedConcreteFunction
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.SavedConcreteFunction
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedConcreteFunction
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.SavedConcreteFunction
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedConcreteFunction
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SavedConcreteFunction
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedConcreteFunction
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.SavedConcreteFunction
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedConcreteFunction
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.SavedConstant
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedConstant
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.SavedConstant
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedConstant
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.SavedConstant
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedConstant
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SavedConstant
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedConstant
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.SavedConstant
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedConstant
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.SavedFunction
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedFunction
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.SavedFunction
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedFunction
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.SavedFunction
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedFunction
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SavedFunction
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedFunction
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.SavedFunction
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedFunction
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.SavedModel
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedModel
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.SavedModel
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedModel
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.SavedModel
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedModel
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SavedModel
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedModel
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.SavedModel
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedModel
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.SavedObject
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedObject
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.SavedObject
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedObject
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.SavedObject
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedObject
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SavedObject
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedObject
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.SavedObject
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedObject
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.SavedObjectGraph
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedObjectGraph
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.SavedObjectGraph
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedObjectGraph
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.SavedObjectGraph
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedObjectGraph
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SavedObjectGraph
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedObjectGraph
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.SavedObjectGraph
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedObjectGraph
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.SavedResource
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedResource
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.SavedResource
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedResource
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.SavedResource
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedResource
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SavedResource
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedResource
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.SavedResource
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedResource
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.SavedUserObject
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedUserObject
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.SavedUserObject
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedUserObject
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.SavedUserObject
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedUserObject
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SavedUserObject
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedUserObject
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.SavedUserObject
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedUserObject
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.SavedVariable
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedVariable
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.SavedVariable
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedVariable
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.SavedVariable
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedVariable
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SavedVariable
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedVariable
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.SavedVariable
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedVariable
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.SaveSliceInfoDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SaveSliceInfoDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.SaveSliceInfoDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SaveSliceInfoDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.SaveSliceInfoDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SaveSliceInfoDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SaveSliceInfoDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SaveSliceInfoDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.SaveSliceInfoDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SaveSliceInfoDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.SessionInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SessionInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.SessionInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SessionInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.SessionInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SessionInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SessionInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SessionInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.SessionInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SessionInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.SessionMetadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SessionMetadata
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.SessionMetadata
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SessionMetadata
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.SessionMetadata
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SessionMetadata
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SessionMetadata
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SessionMetadata
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.SessionMetadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SessionMetadata
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.SignatureDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SignatureDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.SignatureDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SignatureDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.SignatureDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SignatureDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SignatureDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SignatureDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.SignatureDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SignatureDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.Status.DerivedStatus
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Status.DerivedStatus
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.Status.DerivedStatus
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Status.DerivedStatus
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.Status.DerivedStatus
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Status.DerivedStatus
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.Status.DerivedStatus
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Status.DerivedStatus
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.Status.DerivedStatus
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Status.DerivedStatus
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.StepStats
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.StepStats
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.StepStats
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.StepStats
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.StepStats
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.StepStats
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.StepStats
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.StepStats
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.StepStats
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.StepStats
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.StructuredValue
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.StructuredValue
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.StructuredValue
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.StructuredValue
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.StructuredValue
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.StructuredValue
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.StructuredValue
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.StructuredValue
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.StructuredValue
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.StructuredValue
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.Summary.Audio
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Summary.Audio
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.Summary.Audio
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Summary.Audio
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.Summary.Audio
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Summary.Audio
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.Summary.Audio
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Summary.Audio
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.Summary.Audio
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Summary.Audio
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.Summary.Image
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Summary.Image
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.Summary.Image
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Summary.Image
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.Summary.Image
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Summary.Image
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.Summary.Image
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Summary.Image
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.Summary.Image
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Summary.Image
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.Summary
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Summary
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.Summary
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Summary
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.Summary
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Summary
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.Summary
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Summary
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.Summary
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Summary
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.Summary.Value
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Summary.Value
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.Summary.Value
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Summary.Value
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.Summary.Value
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Summary.Value
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.Summary.Value
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Summary.Value
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.Summary.Value
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Summary.Value
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.SummaryDescription
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SummaryDescription
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.SummaryDescription
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SummaryDescription
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.SummaryDescription
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SummaryDescription
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SummaryDescription
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SummaryDescription
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.SummaryDescription
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SummaryDescription
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.SummaryMetadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SummaryMetadata
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.SummaryMetadata
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SummaryMetadata
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.SummaryMetadata
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SummaryMetadata
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SummaryMetadata
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SummaryMetadata
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.SummaryMetadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SummaryMetadata
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.TensorConnection
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorConnection
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.TensorConnection
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorConnection
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.TensorConnection
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorConnection
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TensorConnection
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorConnection
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.TensorConnection
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorConnection
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.TensorDescription
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorDescription
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.TensorDescription
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorDescription
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.TensorDescription
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorDescription
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TensorDescription
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorDescription
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.TensorDescription
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorDescription
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.TensorInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.TensorInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.TensorInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TensorInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.TensorInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.TensorProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.TensorProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.TensorProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TensorProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.TensorProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.TensorShapeProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorShapeProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.TensorShapeProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorShapeProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.TensorShapeProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorShapeProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TensorShapeProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorShapeProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.TensorShapeProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorShapeProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.TensorSliceProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorSliceProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.TensorSliceProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorSliceProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.TensorSliceProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorSliceProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TensorSliceProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorSliceProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.TensorSliceProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorSliceProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.TensorSpecProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorSpecProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.TensorSpecProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorSpecProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.TensorSpecProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorSpecProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TensorSpecProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorSpecProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.TensorSpecProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorSpecProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.TupleValue
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TupleValue
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.TupleValue
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TupleValue
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.TupleValue
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TupleValue
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TupleValue
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TupleValue
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.TupleValue
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TupleValue
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.TypeSpecProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TypeSpecProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.TypeSpecProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TypeSpecProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.TypeSpecProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TypeSpecProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.TypeSpecProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TypeSpecProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.TypeSpecProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TypeSpecProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.ValuesDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ValuesDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.ValuesDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ValuesDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.ValuesDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ValuesDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.ValuesDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ValuesDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.ValuesDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ValuesDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.VariableDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.VariableDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.VariableDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.VariableDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.VariableDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.VariableDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.VariableDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.VariableDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.VariableDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.VariableDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.VariantTensorDataProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.VariantTensorDataProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.VariantTensorDataProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.VariantTensorDataProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.VariantTensorDataProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.VariantTensorDataProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.VariantTensorDataProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.VariantTensorDataProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.VariantTensorDataProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.VariantTensorDataProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.VerifierConfig
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.VerifierConfig
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.VerifierConfig
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.VerifierConfig
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.VerifierConfig
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.VerifierConfig
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.VerifierConfig
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.VerifierConfig
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.VerifierConfig
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.VerifierConfig
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.VersionDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.VersionDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.VersionDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.VersionDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.VersionDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.VersionDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.VersionDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.VersionDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.VersionDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.VersionDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.framework.WhileContextDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.WhileContextDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.framework.WhileContextDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.WhileContextDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.framework.WhileContextDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.WhileContextDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.framework.WhileContextDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.WhileContextDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.framework.WhileContextDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.WhileContextDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.profiler.ProfileOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.ProfileOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.profiler.ProfileOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.ProfileOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.profiler.ProfileOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.ProfileOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.ProfileOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.ProfileOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.profiler.ProfileOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.ProfileOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.profiler.XEvent
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XEvent
parseFrom(ByteString) - Static method in class org.tensorflow.proto.profiler.XEvent
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XEvent
parseFrom(byte[]) - Static method in class org.tensorflow.proto.profiler.XEvent
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XEvent
parseFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.XEvent
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XEvent
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.profiler.XEvent
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XEvent
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.profiler.XEventMetadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XEventMetadata
parseFrom(ByteString) - Static method in class org.tensorflow.proto.profiler.XEventMetadata
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XEventMetadata
parseFrom(byte[]) - Static method in class org.tensorflow.proto.profiler.XEventMetadata
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XEventMetadata
parseFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.XEventMetadata
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XEventMetadata
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.profiler.XEventMetadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XEventMetadata
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.profiler.XLine
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XLine
parseFrom(ByteString) - Static method in class org.tensorflow.proto.profiler.XLine
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XLine
parseFrom(byte[]) - Static method in class org.tensorflow.proto.profiler.XLine
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XLine
parseFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.XLine
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XLine
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.profiler.XLine
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XLine
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.profiler.XPlane
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XPlane
parseFrom(ByteString) - Static method in class org.tensorflow.proto.profiler.XPlane
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XPlane
parseFrom(byte[]) - Static method in class org.tensorflow.proto.profiler.XPlane
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XPlane
parseFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.XPlane
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XPlane
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.profiler.XPlane
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XPlane
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.profiler.XSpace
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XSpace
parseFrom(ByteString) - Static method in class org.tensorflow.proto.profiler.XSpace
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XSpace
parseFrom(byte[]) - Static method in class org.tensorflow.proto.profiler.XSpace
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XSpace
parseFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.XSpace
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XSpace
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.profiler.XSpace
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XSpace
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.profiler.XStat
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XStat
parseFrom(ByteString) - Static method in class org.tensorflow.proto.profiler.XStat
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XStat
parseFrom(byte[]) - Static method in class org.tensorflow.proto.profiler.XStat
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XStat
parseFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.XStat
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XStat
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.profiler.XStat
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XStat
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.profiler.XStatMetadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XStatMetadata
parseFrom(ByteString) - Static method in class org.tensorflow.proto.profiler.XStatMetadata
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XStatMetadata
parseFrom(byte[]) - Static method in class org.tensorflow.proto.profiler.XStatMetadata
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XStatMetadata
parseFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.XStatMetadata
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XStatMetadata
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.profiler.XStatMetadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XStatMetadata
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.BinSummary
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.BinSummary
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.BinSummary
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.BinSummary
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.BinSummary
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.BinSummary
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.BinSummary
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.BinSummary
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.BinSummary
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.BinSummary
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.BundleEntryProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.BundleEntryProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.BundleEntryProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.BundleEntryProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.BundleEntryProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.BundleEntryProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.BundleEntryProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.BundleEntryProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.BundleEntryProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.BundleEntryProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.BundleHeaderProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.BundleHeaderProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.BundleHeaderProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.BundleHeaderProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.BundleHeaderProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.BundleHeaderProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.BundleHeaderProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.BundleHeaderProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.BundleHeaderProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.BundleHeaderProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.CodeLocation
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.CodeLocation
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.CodeLocation
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.CodeLocation
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.CodeLocation
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.CodeLocation
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.CodeLocation
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.CodeLocation
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.CodeLocation
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.CodeLocation
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.DebugEvent
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.DebugEvent
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.DebugEvent
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.DebugEvent
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.DebugEvent
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.DebugEvent
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.DebugEvent
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.DebugEvent
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.DebugEvent
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.DebugEvent
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.DebuggedDevice
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.DebuggedDevice
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.DebuggedDevice
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.DebuggedDevice
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.DebuggedDevice
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.DebuggedDevice
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.DebuggedDevice
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.DebuggedDevice
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.DebuggedDevice
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.DebuggedDevice
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.DebuggedGraph
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.DebuggedGraph
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.DebuggedGraph
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.DebuggedGraph
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.DebuggedGraph
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.DebuggedGraph
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.DebuggedGraph
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.DebuggedGraph
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.DebuggedGraph
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.DebuggedGraph
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.DebugMetadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.DebugMetadata
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.DebugMetadata
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.DebugMetadata
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.DebugMetadata
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.DebugMetadata
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.DebugMetadata
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.DebugMetadata
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.DebugMetadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.DebugMetadata
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.Event
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.Event
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.Event
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.Event
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.Event
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.Event
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.Event
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.Event
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.Event
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.Event
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.Execution
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.Execution
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.Execution
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.Execution
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.Execution
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.Execution
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.Execution
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.Execution
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.Execution
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.Execution
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.GraphExecutionTrace
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.GraphExecutionTrace
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.GraphExecutionTrace
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.GraphExecutionTrace
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.GraphExecutionTrace
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.GraphExecutionTrace
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.GraphExecutionTrace
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.GraphExecutionTrace
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.GraphExecutionTrace
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.GraphExecutionTrace
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.GraphOpCreation
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.GraphOpCreation
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.GraphOpCreation
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.GraphOpCreation
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.GraphOpCreation
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.GraphOpCreation
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.GraphOpCreation
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.GraphOpCreation
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.GraphOpCreation
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.GraphOpCreation
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.LogMessage: Deprecated.
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.LogMessage: Deprecated.
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.LogMessage: Deprecated.
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.LogMessage: Deprecated.
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.LogMessage: Deprecated.
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.LogMessage: Deprecated.
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.LogMessage: Deprecated.
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.LogMessage: Deprecated.
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.LogMessage: Deprecated.
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.LogMessage: Deprecated.
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.MemAllocatorStats
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemAllocatorStats
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.MemAllocatorStats
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemAllocatorStats
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.MemAllocatorStats
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemAllocatorStats
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.MemAllocatorStats
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemAllocatorStats
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.MemAllocatorStats
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemAllocatorStats
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.MemChunk
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemChunk
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.MemChunk
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemChunk
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.MemChunk
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemChunk
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.MemChunk
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemChunk
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.MemChunk
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemChunk
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.MemoryDump
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemoryDump
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.MemoryDump
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemoryDump
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.MemoryDump
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemoryDump
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.MemoryDump
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemoryDump
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.MemoryDump
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemoryDump
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.RequestedExitCode
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.RequestedExitCode
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.RequestedExitCode
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.RequestedExitCode
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.RequestedExitCode
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.RequestedExitCode
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.RequestedExitCode
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.RequestedExitCode
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.RequestedExitCode
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.RequestedExitCode
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.SavedSlice
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SavedSlice
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.SavedSlice
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SavedSlice
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.SavedSlice
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SavedSlice
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.SavedSlice
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SavedSlice
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.SavedSlice
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SavedSlice
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.SavedSliceMeta
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SavedSliceMeta
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.SavedSliceMeta
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SavedSliceMeta
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.SavedSliceMeta
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SavedSliceMeta
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.SavedSliceMeta
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SavedSliceMeta
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.SavedSliceMeta
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SavedSliceMeta
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.SavedTensorSliceMeta
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SavedTensorSliceMeta
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.SavedTensorSliceMeta
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SavedTensorSliceMeta
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.SavedTensorSliceMeta
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SavedTensorSliceMeta
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.SavedTensorSliceMeta
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SavedTensorSliceMeta
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.SavedTensorSliceMeta
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SavedTensorSliceMeta
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.SavedTensorSlices
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SavedTensorSlices
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.SavedTensorSlices
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SavedTensorSlices
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.SavedTensorSlices
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SavedTensorSlices
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.SavedTensorSlices
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SavedTensorSlices
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.SavedTensorSlices
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SavedTensorSlices
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.SaverDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SaverDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.SaverDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SaverDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.SaverDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SaverDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.SaverDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SaverDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.SaverDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SaverDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.SessionLog
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SessionLog
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.SessionLog
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SessionLog
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.SessionLog
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SessionLog
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.SessionLog
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SessionLog
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.SessionLog
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SessionLog
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.SnapShot
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SnapShot
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.SnapShot
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SnapShot
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.SnapShot
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SnapShot
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.SnapShot
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SnapShot
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.SnapShot
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SnapShot
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.SourceFile
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SourceFile
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.SourceFile
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SourceFile
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.SourceFile
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SourceFile
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.SourceFile
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SourceFile
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.SourceFile
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SourceFile
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.StackFrameWithId
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.StackFrameWithId
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.StackFrameWithId
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.StackFrameWithId
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.StackFrameWithId
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.StackFrameWithId
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.StackFrameWithId
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.StackFrameWithId
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.StackFrameWithId
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.StackFrameWithId
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.TaggedRunMetadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.TaggedRunMetadata
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.TaggedRunMetadata
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.TaggedRunMetadata
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.TaggedRunMetadata
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.TaggedRunMetadata
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.TaggedRunMetadata
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.TaggedRunMetadata
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.TaggedRunMetadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.TaggedRunMetadata
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.testlog.BuildConfiguration
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.BuildConfiguration
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.testlog.BuildConfiguration
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.BuildConfiguration
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.testlog.BuildConfiguration
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.BuildConfiguration
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.testlog.BuildConfiguration
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.BuildConfiguration
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.testlog.BuildConfiguration
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.BuildConfiguration
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.testlog.CommitId
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.CommitId
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.testlog.CommitId
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.CommitId
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.testlog.CommitId
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.CommitId
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.testlog.CommitId
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.CommitId
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.testlog.CommitId
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.CommitId
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.testlog.CPUInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.CPUInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.testlog.CPUInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.CPUInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.testlog.CPUInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.CPUInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.testlog.CPUInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.CPUInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.testlog.CPUInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.CPUInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.testlog.EntryValue
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.EntryValue
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.testlog.EntryValue
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.EntryValue
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.testlog.EntryValue
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.EntryValue
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.testlog.EntryValue
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.EntryValue
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.testlog.EntryValue
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.EntryValue
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.testlog.GPUInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.GPUInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.testlog.GPUInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.GPUInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.testlog.GPUInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.GPUInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.testlog.GPUInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.GPUInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.testlog.GPUInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.GPUInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.testlog.MachineConfiguration
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.MachineConfiguration
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.testlog.MachineConfiguration
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.MachineConfiguration
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.testlog.MachineConfiguration
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.MachineConfiguration
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.testlog.MachineConfiguration
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.MachineConfiguration
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.testlog.MachineConfiguration
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.MachineConfiguration
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.testlog.MemoryInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.MemoryInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.testlog.MemoryInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.MemoryInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.testlog.MemoryInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.MemoryInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.testlog.MemoryInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.MemoryInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.testlog.MemoryInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.MemoryInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.testlog.MetricEntry
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.MetricEntry
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.testlog.MetricEntry
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.MetricEntry
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.testlog.MetricEntry
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.MetricEntry
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.testlog.MetricEntry
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.MetricEntry
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.testlog.MetricEntry
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.MetricEntry
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.testlog.PlatformInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.PlatformInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.testlog.PlatformInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.PlatformInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.testlog.PlatformInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.PlatformInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.testlog.PlatformInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.PlatformInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.testlog.PlatformInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.PlatformInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.testlog.RunConfiguration
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.RunConfiguration
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.testlog.RunConfiguration
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.RunConfiguration
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.testlog.RunConfiguration
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.RunConfiguration
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.testlog.RunConfiguration
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.RunConfiguration
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.testlog.RunConfiguration
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.RunConfiguration
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.testlog.TestResults
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.TestResults
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.testlog.TestResults
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.TestResults
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.testlog.TestResults
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.TestResults
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.testlog.TestResults
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.TestResults
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.testlog.TestResults
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.TestResults
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.WatchdogConfig
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.WatchdogConfig
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.WatchdogConfig
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.WatchdogConfig
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.WatchdogConfig
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.WatchdogConfig
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.WatchdogConfig
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.WatchdogConfig
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.WatchdogConfig
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.WatchdogConfig
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
parseFrom(ByteString) - Static method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
parseFrom(byte[]) - Static method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
parseFrom(InputStream) - Static method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
parser() - Static method in class org.tensorflow.proto.data.AutotuneOptions
parser() - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
parser() - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
parser() - Static method in class org.tensorflow.proto.data.DistributeOptions
parser() - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
parser() - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
parser() - Static method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
parser() - Static method in class org.tensorflow.proto.data.experimental.SnapshotRecord
parser() - Static method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
parser() - Static method in class org.tensorflow.proto.data.experimental.TensorMetadata
parser() - Static method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
parser() - Static method in class org.tensorflow.proto.data.model.ModelProto.Node
parser() - Static method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
parser() - Static method in class org.tensorflow.proto.data.model.ModelProto
parser() - Static method in class org.tensorflow.proto.data.OptimizationOptions
parser() - Static method in class org.tensorflow.proto.data.Options
parser() - Static method in class org.tensorflow.proto.data.ThreadingOptions
parser() - Static method in class org.tensorflow.proto.distruntime.ClusterDef
parser() - Static method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
parser() - Static method in class org.tensorflow.proto.distruntime.JobDef
parser() - Static method in class org.tensorflow.proto.distruntime.JobDeviceFilters
parser() - Static method in class org.tensorflow.proto.distruntime.ServerDef
parser() - Static method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
parser() - Static method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
parser() - Static method in class org.tensorflow.proto.example.BytesList
parser() - Static method in class org.tensorflow.proto.example.Example
parser() - Static method in class org.tensorflow.proto.example.ExampleParserConfiguration
parser() - Static method in class org.tensorflow.proto.example.Feature
parser() - Static method in class org.tensorflow.proto.example.FeatureConfiguration
parser() - Static method in class org.tensorflow.proto.example.FeatureList
parser() - Static method in class org.tensorflow.proto.example.FeatureLists
parser() - Static method in class org.tensorflow.proto.example.Features
parser() - Static method in class org.tensorflow.proto.example.FixedLenFeatureProto
parser() - Static method in class org.tensorflow.proto.example.FloatList
parser() - Static method in class org.tensorflow.proto.example.Int64List
parser() - Static method in class org.tensorflow.proto.example.SequenceExample
parser() - Static method in class org.tensorflow.proto.example.VarLenFeatureProto
parser() - Static method in class org.tensorflow.proto.framework.AllocationDescription
parser() - Static method in class org.tensorflow.proto.framework.AllocationRecord
parser() - Static method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
parser() - Static method in class org.tensorflow.proto.framework.ApiDef.Arg
parser() - Static method in class org.tensorflow.proto.framework.ApiDef.Attr
parser() - Static method in class org.tensorflow.proto.framework.ApiDef.Endpoint
parser() - Static method in class org.tensorflow.proto.framework.ApiDef
parser() - Static method in class org.tensorflow.proto.framework.ApiDefs
parser() - Static method in class org.tensorflow.proto.framework.AssetFileDef
parser() - Static method in class org.tensorflow.proto.framework.AttrValue.ListValue
parser() - Static method in class org.tensorflow.proto.framework.AttrValue
parser() - Static method in class org.tensorflow.proto.framework.AutoParallelOptions
parser() - Static method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
parser() - Static method in class org.tensorflow.proto.framework.CallableOptions
parser() - Static method in class org.tensorflow.proto.framework.CapturedTensor
parser() - Static method in class org.tensorflow.proto.framework.CollectionDef.AnyList
parser() - Static method in class org.tensorflow.proto.framework.CollectionDef.BytesList
parser() - Static method in class org.tensorflow.proto.framework.CollectionDef.FloatList
parser() - Static method in class org.tensorflow.proto.framework.CollectionDef.Int64List
parser() - Static method in class org.tensorflow.proto.framework.CollectionDef.NodeList
parser() - Static method in class org.tensorflow.proto.framework.CollectionDef
parser() - Static method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
parser() - Static method in class org.tensorflow.proto.framework.CondContextDef
parser() - Static method in class org.tensorflow.proto.framework.ConfigProto.Experimental
parser() - Static method in class org.tensorflow.proto.framework.ConfigProto
parser() - Static method in class org.tensorflow.proto.framework.ControlFlowContextDef
parser() - Static method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
parser() - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
parser() - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
parser() - Static method in class org.tensorflow.proto.framework.CostGraphDef.Node
parser() - Static method in class org.tensorflow.proto.framework.CostGraphDef
parser() - Static method in class org.tensorflow.proto.framework.DebuggedSourceFile
parser() - Static method in class org.tensorflow.proto.framework.DebuggedSourceFiles
parser() - Static method in class org.tensorflow.proto.framework.DebugOptions
parser() - Static method in class org.tensorflow.proto.framework.DebugTensorWatch
parser() - Static method in class org.tensorflow.proto.framework.DeviceAttributes
parser() - Static method in class org.tensorflow.proto.framework.DeviceLocality
parser() - Static method in class org.tensorflow.proto.framework.DeviceProperties
parser() - Static method in class org.tensorflow.proto.framework.DeviceStepStats
parser() - Static method in class org.tensorflow.proto.framework.DictValue
parser() - Static method in class org.tensorflow.proto.framework.FullTypeDef
parser() - Static method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
parser() - Static method in class org.tensorflow.proto.framework.FunctionDef
parser() - Static method in class org.tensorflow.proto.framework.FunctionDefLibrary
parser() - Static method in class org.tensorflow.proto.framework.FunctionSpec
parser() - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental
parser() - Static method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
parser() - Static method in class org.tensorflow.proto.framework.GPUOptions
parser() - Static method in class org.tensorflow.proto.framework.GradientDef
parser() - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
parser() - Static method in class org.tensorflow.proto.framework.GraphDebugInfo
parser() - Static method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
parser() - Static method in class org.tensorflow.proto.framework.GraphDef
parser() - Static method in class org.tensorflow.proto.framework.GraphOptions
parser() - Static method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
parser() - Static method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
parser() - Static method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
parser() - Static method in class org.tensorflow.proto.framework.GraphTransferInfo
parser() - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
parser() - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInput
parser() - Static method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
parser() - Static method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
parser() - Static method in class org.tensorflow.proto.framework.HistogramProto
parser() - Static method in class org.tensorflow.proto.framework.InterconnectLink
parser() - Static method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
parser() - Static method in class org.tensorflow.proto.framework.KernelDef
parser() - Static method in class org.tensorflow.proto.framework.KernelList
parser() - Static method in class org.tensorflow.proto.framework.ListValue
parser() - Static method in class org.tensorflow.proto.framework.LocalLinks
parser() - Static method in class org.tensorflow.proto.framework.LogNormalDistribution
parser() - Static method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
parser() - Static method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
parser() - Static method in class org.tensorflow.proto.framework.MemoryLogStep
parser() - Static method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
parser() - Static method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
parser() - Static method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
parser() - Static method in class org.tensorflow.proto.framework.MemoryStats
parser() - Static method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
parser() - Static method in class org.tensorflow.proto.framework.MetaGraphDef
parser() - Static method in class org.tensorflow.proto.framework.NameAttrList
parser() - Static method in class org.tensorflow.proto.framework.NamedDevice
parser() - Static method in class org.tensorflow.proto.framework.NamedTensorProto
parser() - Static method in class org.tensorflow.proto.framework.NamedTupleValue
parser() - Static method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
parser() - Static method in class org.tensorflow.proto.framework.NodeDef
parser() - Static method in class org.tensorflow.proto.framework.NodeExecStats
parser() - Static method in class org.tensorflow.proto.framework.NodeOutput
parser() - Static method in class org.tensorflow.proto.framework.NoneValue
parser() - Static method in class org.tensorflow.proto.framework.NormalDistribution
parser() - Static method in class org.tensorflow.proto.framework.OpDef.ArgDef
parser() - Static method in class org.tensorflow.proto.framework.OpDef.AttrDef
parser() - Static method in class org.tensorflow.proto.framework.OpDef
parser() - Static method in class org.tensorflow.proto.framework.OpDeprecation
parser() - Static method in class org.tensorflow.proto.framework.OpInfo
parser() - Static method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
parser() - Static method in class org.tensorflow.proto.framework.OpList
parser() - Static method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
parser() - Static method in class org.tensorflow.proto.framework.OpPerformance
parser() - Static method in class org.tensorflow.proto.framework.OpPerformanceList
parser() - Static method in class org.tensorflow.proto.framework.OptimizerOptions
parser() - Static method in class org.tensorflow.proto.framework.PairValue
parser() - Static method in class org.tensorflow.proto.framework.QueueRunnerDef
parser() - Static method in class org.tensorflow.proto.framework.ReaderBaseState
parser() - Static method in class org.tensorflow.proto.framework.RegisteredGradient
parser() - Static method in class org.tensorflow.proto.framework.RemoteTensorHandle
parser() - Static method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
parser() - Static method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
parser() - Static method in class org.tensorflow.proto.framework.ResourceHandleProto
parser() - Static method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
parser() - Static method in class org.tensorflow.proto.framework.RewriterConfig
parser() - Static method in class org.tensorflow.proto.framework.RPCOptions
parser() - Static method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
parser() - Static method in class org.tensorflow.proto.framework.RunMetadata
parser() - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental
parser() - Static method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
parser() - Static method in class org.tensorflow.proto.framework.RunOptions
parser() - Static method in class org.tensorflow.proto.framework.SaveableObject
parser() - Static method in class org.tensorflow.proto.framework.SavedAsset
parser() - Static method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
parser() - Static method in class org.tensorflow.proto.framework.SavedConcreteFunction
parser() - Static method in class org.tensorflow.proto.framework.SavedConstant
parser() - Static method in class org.tensorflow.proto.framework.SavedFunction
parser() - Static method in class org.tensorflow.proto.framework.SavedModel
parser() - Static method in class org.tensorflow.proto.framework.SavedObject
parser() - Static method in class org.tensorflow.proto.framework.SavedObjectGraph
parser() - Static method in class org.tensorflow.proto.framework.SavedResource
parser() - Static method in class org.tensorflow.proto.framework.SavedUserObject
parser() - Static method in class org.tensorflow.proto.framework.SavedVariable
parser() - Static method in class org.tensorflow.proto.framework.SaveSliceInfoDef
parser() - Static method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
parser() - Static method in class org.tensorflow.proto.framework.SessionInfo
parser() - Static method in class org.tensorflow.proto.framework.SessionMetadata
parser() - Static method in class org.tensorflow.proto.framework.SignatureDef
parser() - Static method in class org.tensorflow.proto.framework.Status.DerivedStatus
parser() - Static method in class org.tensorflow.proto.framework.StepStats
parser() - Static method in class org.tensorflow.proto.framework.StructuredValue
parser() - Static method in class org.tensorflow.proto.framework.Summary.Audio
parser() - Static method in class org.tensorflow.proto.framework.Summary.Image
parser() - Static method in class org.tensorflow.proto.framework.Summary
parser() - Static method in class org.tensorflow.proto.framework.Summary.Value
parser() - Static method in class org.tensorflow.proto.framework.SummaryDescription
parser() - Static method in class org.tensorflow.proto.framework.SummaryMetadata
parser() - Static method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
parser() - Static method in class org.tensorflow.proto.framework.TensorConnection
parser() - Static method in class org.tensorflow.proto.framework.TensorDescription
parser() - Static method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
parser() - Static method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
parser() - Static method in class org.tensorflow.proto.framework.TensorInfo
parser() - Static method in class org.tensorflow.proto.framework.TensorProto
parser() - Static method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
parser() - Static method in class org.tensorflow.proto.framework.TensorShapeProto
parser() - Static method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
parser() - Static method in class org.tensorflow.proto.framework.TensorSliceProto
parser() - Static method in class org.tensorflow.proto.framework.TensorSpecProto
parser() - Static method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
parser() - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph
parser() - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
parser() - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
parser() - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
parser() - Static method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
parser() - Static method in class org.tensorflow.proto.framework.TupleValue
parser() - Static method in class org.tensorflow.proto.framework.TypeSpecProto
parser() - Static method in class org.tensorflow.proto.framework.ValuesDef
parser() - Static method in class org.tensorflow.proto.framework.VariableDef
parser() - Static method in class org.tensorflow.proto.framework.VariantTensorDataProto
parser() - Static method in class org.tensorflow.proto.framework.VerifierConfig
parser() - Static method in class org.tensorflow.proto.framework.VersionDef
parser() - Static method in class org.tensorflow.proto.framework.WhileContextDef
parser() - Static method in class org.tensorflow.proto.profiler.ProfileOptions
parser() - Static method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
parser() - Static method in class org.tensorflow.proto.profiler.XEvent
parser() - Static method in class org.tensorflow.proto.profiler.XEventMetadata
parser() - Static method in class org.tensorflow.proto.profiler.XLine
parser() - Static method in class org.tensorflow.proto.profiler.XPlane
parser() - Static method in class org.tensorflow.proto.profiler.XSpace
parser() - Static method in class org.tensorflow.proto.profiler.XStat
parser() - Static method in class org.tensorflow.proto.profiler.XStatMetadata
parser() - Static method in class org.tensorflow.proto.util.BinSummary
parser() - Static method in class org.tensorflow.proto.util.BundleEntryProto
parser() - Static method in class org.tensorflow.proto.util.BundleHeaderProto
parser() - Static method in class org.tensorflow.proto.util.CodeLocation
parser() - Static method in class org.tensorflow.proto.util.DebugEvent
parser() - Static method in class org.tensorflow.proto.util.DebuggedDevice
parser() - Static method in class org.tensorflow.proto.util.DebuggedGraph
parser() - Static method in class org.tensorflow.proto.util.DebugMetadata
parser() - Static method in class org.tensorflow.proto.util.Event
parser() - Static method in class org.tensorflow.proto.util.Execution
parser() - Static method in class org.tensorflow.proto.util.GraphExecutionTrace
parser() - Static method in class org.tensorflow.proto.util.GraphOpCreation
parser() - Static method in class org.tensorflow.proto.util.LogMessage: Deprecated.
parser() - Static method in class org.tensorflow.proto.util.MemAllocatorStats
parser() - Static method in class org.tensorflow.proto.util.MemChunk
parser() - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
parser() - Static method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
parser() - Static method in class org.tensorflow.proto.util.MemoryDump
parser() - Static method in class org.tensorflow.proto.util.RequestedExitCode
parser() - Static method in class org.tensorflow.proto.util.SavedSlice
parser() - Static method in class org.tensorflow.proto.util.SavedSliceMeta
parser() - Static method in class org.tensorflow.proto.util.SavedTensorSliceMeta
parser() - Static method in class org.tensorflow.proto.util.SavedTensorSlices
parser() - Static method in class org.tensorflow.proto.util.SaverDef
parser() - Static method in class org.tensorflow.proto.util.SessionLog
parser() - Static method in class org.tensorflow.proto.util.SnapShot
parser() - Static method in class org.tensorflow.proto.util.SourceFile
parser() - Static method in class org.tensorflow.proto.util.StackFrameWithId
parser() - Static method in class org.tensorflow.proto.util.TaggedRunMetadata
parser() - Static method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
parser() - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
parser() - Static method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
parser() - Static method in class org.tensorflow.proto.util.testlog.BuildConfiguration
parser() - Static method in class org.tensorflow.proto.util.testlog.CommitId
parser() - Static method in class org.tensorflow.proto.util.testlog.CPUInfo
parser() - Static method in class org.tensorflow.proto.util.testlog.EntryValue
parser() - Static method in class org.tensorflow.proto.util.testlog.GPUInfo
parser() - Static method in class org.tensorflow.proto.util.testlog.MachineConfiguration
parser() - Static method in class org.tensorflow.proto.util.testlog.MemoryInfo
parser() - Static method in class org.tensorflow.proto.util.testlog.MetricEntry
parser() - Static method in class org.tensorflow.proto.util.testlog.PlatformInfo
parser() - Static method in class org.tensorflow.proto.util.testlog.RunConfiguration
parser() - Static method in class org.tensorflow.proto.util.testlog.TestResults
parser() - Static method in class org.tensorflow.proto.util.WatchdogConfig
parser() - Static method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
parser() - Static method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
ParseSequenceExample - Class in org.tensorflow.op.io: Transforms a vector of tf.io.SequenceExample protos (as strings) into typed tensors.
ParseSequenceExample(Operation) - Constructor for class org.tensorflow.op.io.ParseSequenceExample
parseSequenceExample(Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TBool>, Iterable<Operand<?>>, List<Class<? extends TType>>, List<Class<? extends TType>>, List<Class<? extends TNumber>>, List<Class<? extends TType>>, List<Class<? extends TType>>, List<Class<? extends TType>>, List<Class<? extends TNumber>>, ParseSequenceExample.Options...) - Method in class org.tensorflow.op.IoOps: Transforms a vector of tf.io.SequenceExample protos (as strings) into typed tensors.
ParseSequenceExample.Inputs - Class in org.tensorflow.op.io
ParseSequenceExample.Options - Class in org.tensorflow.op.io: Optional attributes for ParseSequenceExample
ParseSingleExample - Class in org.tensorflow.op.io: Transforms a tf.Example proto (as a string) into typed tensors.
ParseSingleExample(Operation) - Constructor for class org.tensorflow.op.io.ParseSingleExample
parseSingleExample(Operand<TString>, Iterable<Operand<?>>, Long, List<String>, List<String>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.IoOps: Transforms a tf.Example proto (as a string) into typed tensors.
ParseSingleExample.Inputs - Class in org.tensorflow.op.io
ParseSingleSequenceExample - Class in org.tensorflow.op.io: Transforms a scalar brain.SequenceExample proto (as strings) into typed tensors.
ParseSingleSequenceExample(Operation) - Constructor for class org.tensorflow.op.io.ParseSingleSequenceExample
parseSingleSequenceExample(Operand<TString>, Operand<TString>, Iterable<Operand<TString>>, Iterable<Operand<TString>>, Iterable<Operand<TString>>, Iterable<Operand<TString>>, Iterable<Operand<?>>, Operand<TString>, List<Class<? extends TType>>, List<Class<? extends TType>>, List<Class<? extends TType>>, ParseSingleSequenceExample.Options...) - Method in class org.tensorflow.op.IoOps: Transforms a scalar brain.SequenceExample proto (as strings) into typed tensors.
ParseSingleSequenceExample.Inputs - Class in org.tensorflow.op.io
ParseSingleSequenceExample.Options - Class in org.tensorflow.op.io: Optional attributes for ParseSingleSequenceExample
ParseTensor<T extends TType> - Class in org.tensorflow.op.io: Transforms a serialized tensorflow.TensorProto proto into a Tensor.
ParseTensor(Operation) - Constructor for class org.tensorflow.op.io.ParseTensor
parseTensor(Operand<TString>, Class<T>) - Method in class org.tensorflow.op.IoOps: Transforms a serialized tensorflow.TensorProto proto into a Tensor.
ParseTensor.Inputs - Class in org.tensorflow.op.io
partialLogits() - Method in class org.tensorflow.op.estimator.BoostedTreesTrainingPredict: Gets partialLogits.
partialPivoting - Variable in class org.tensorflow.op.linalg.TridiagonalSolve.Inputs: Whether to apply partial pivoting.
partialPivoting(Boolean) - Method in class org.tensorflow.op.linalg.TridiagonalSolve.Options: Sets the partialPivoting option.
partialPivoting(Boolean) - Static method in class org.tensorflow.op.linalg.TridiagonalSolve: Sets the partialPivoting option.
PARTITION_GRAPHS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
PARTITION_GRAPHS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RunMetadata
partitionDim - Variable in class org.tensorflow.op.tpu.PartitionedInput.Inputs: An integer describles which dimension is partitioned.
partitionDim(Long) - Method in class org.tensorflow.op.tpu.PartitionedInput.Options: Sets the partitionDim option.
partitionDim(Long) - Static method in class org.tensorflow.op.tpu.PartitionedInput: Sets the partitionDim option.
partitionDim - Variable in class org.tensorflow.op.tpu.PartitionedOutput.Inputs: An integer describles which dimension is partitioned.
partitionDim(Long) - Method in class org.tensorflow.op.tpu.PartitionedOutput.Options: Sets the partitionDim option.
partitionDim(Long) - Static method in class org.tensorflow.op.tpu.PartitionedOutput: Sets the partitionDim option.
PartitionedCall - Interface in org.tensorflow.op.core: returns f(inputs), where f's body is placed and partitioned.
partitionedCall(Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction, PartitionedCall.Options...) - Method in class org.tensorflow.op.Ops: returns f(inputs), where f's body is placed and partitioned.
PartitionedCall - Class in org.tensorflow.op.tpu: Calls a function placed on a specified TPU device.
PartitionedCall(Operation) - Constructor for class org.tensorflow.op.tpu.PartitionedCall
PartitionedCall.Inputs - Class in org.tensorflow.op.tpu
PartitionedCall.Options - Class in org.tensorflow.op.core: Optional attributes for PartitionedCall
PartitionedCall.Options - Class in org.tensorflow.op.tpu: Optional attributes for PartitionedCall
PartitionedInput<T extends TType> - Class in org.tensorflow.op.tpu: An op that groups a list of partitioned inputs together.
PartitionedInput(Operation) - Constructor for class org.tensorflow.op.tpu.PartitionedInput
partitionedInput(Iterable<Operand<T>>, PartitionedInput.Options...) - Method in class org.tensorflow.op.TpuOps: An op that groups a list of partitioned inputs together.
PartitionedInput.Inputs<T extends TType> - Class in org.tensorflow.op.tpu
PartitionedInput.Options - Class in org.tensorflow.op.tpu: Optional attributes for PartitionedInput
PartitionedOutput<T extends TType> - Class in org.tensorflow.op.tpu: An op that demultiplexes a tensor to be sharded by XLA to a list of partitioned outputs outside the XLA computation.
PartitionedOutput(Operation) - Constructor for class org.tensorflow.op.tpu.PartitionedOutput
partitionedOutput(Operand<T>, Long, PartitionedOutput.Options...) - Method in class org.tensorflow.op.TpuOps: An op that demultiplexes a tensor to be sharded by XLA to a list of partitioned outputs outside the XLA computation.
PartitionedOutput.Inputs<T extends TType> - Class in org.tensorflow.op.tpu
PartitionedOutput.Options - Class in org.tensorflow.op.tpu: Optional attributes for PartitionedOutput
partitions - Variable in class org.tensorflow.op.core.DynamicPartition.Inputs: Any shape.
patches() - Method in class org.tensorflow.op.core.ExtractVolumePatches: Gets patches.
patches() - Method in class org.tensorflow.op.image.ExtractImagePatches: Gets patches.
path - Variable in class org.tensorflow.op.data.LoadDataset.Inputs: The path input
path - Variable in class org.tensorflow.op.data.SaveDataset.Inputs: The path input
path - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The path we should write snapshots to / read snapshots from.
pattern - Variable in class org.tensorflow.op.io.MatchingFiles.Inputs: Shell wildcard pattern(s).
pattern - Variable in class org.tensorflow.op.strings.RegexFullMatch.Inputs: A scalar string tensor containing the regular expression to match the input.
pattern - Variable in class org.tensorflow.op.strings.RegexReplace.Inputs: The regular expression to be matched in the input strings.
pattern - Variable in class org.tensorflow.op.strings.StaticRegexFullMatch.Inputs: The regular expression to match the input.
pattern - Variable in class org.tensorflow.op.strings.StaticRegexReplace.Inputs: The regular expression to match the input.
patterns - Variable in class org.tensorflow.op.data.experimental.MatchingFilesDataset.Inputs: The patterns input
patterns - Variable in class org.tensorflow.op.data.MatchingFilesDataset.Inputs: The patterns input
PEAK_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AllocatorMemoryUsed
PEAK_BYTES_IN_USE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.MemAllocatorStats
PENDING_CHANGELIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.CommitId
PER_PROCESS_GPU_MEMORY_FRACTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GPUOptions
PER_REPLICA_SPEC_VALUE - Static variable in enum org.tensorflow.proto.framework.TypeSpecProto.TypeSpecClass: PerReplicaSpec from distribute/values.py
perm - Variable in class org.tensorflow.op.linalg.ConjugateTranspose.Inputs: The perm input
perm - Variable in class org.tensorflow.op.linalg.Transpose.Inputs: The perm input
perm - Variable in class org.tensorflow.op.risc.RiscTranspose.Inputs: The perm input
PERMISSION_DENIED_VALUE - Static variable in enum org.tensorflow.proto.framework.Code: The caller does not have permission to execute the specified operation.
permutation - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseCholesky.Inputs: A fill-in reducing permutation matrix.
PERSISTENT_MEMORY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpPerformance.OpMemory
PERSISTENT_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CostGraphDef.Node
PERSISTENT_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MemoryStats
PERSISTENT_TENSOR_ALLOC_IDS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MemoryStats
perturbSingular - Variable in class org.tensorflow.op.linalg.TridiagonalSolve.Inputs: The perturbSingular attribute
perturbSingular(Boolean) - Method in class org.tensorflow.op.linalg.TridiagonalSolve.Options: Sets the perturbSingular option.
perturbSingular(Boolean) - Static method in class org.tensorflow.op.linalg.TridiagonalSolve: Sets the perturbSingular option.
PHYSICAL_DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
PHYSICAL_DEVICE_DESC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DeviceAttributes
PIN_TO_HOST_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
PIVOT_FOR_BODY_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.WhileContextDef
PIVOT_FOR_PRED_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.WhileContextDef
PIVOT_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CondContextDef
PIVOT_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.WhileContextDef
PLACE_PRUNED_GRAPH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphOptions
Placeholder<T extends TType> - Class in org.tensorflow.op.core: A placeholder op for a value that will be fed into the computation.
Placeholder(Operation) - Constructor for class org.tensorflow.op.core.Placeholder
placeholder(Class<T>, Placeholder.Options...) - Method in class org.tensorflow.op.Ops: A placeholder op for a value that will be fed into the computation.
placeholder - Variable in class org.tensorflow.op.strings.StringFormat.Inputs: A string, at each placeholder in the template a subsequent tensor summary will be inserted.
placeholder(String) - Method in class org.tensorflow.op.strings.StringFormat.Options: Sets the placeholder option.
placeholder(String) - Static method in class org.tensorflow.op.strings.StringFormat: Sets the placeholder option.
Placeholder.Inputs - Class in org.tensorflow.op.core
Placeholder.Options - Class in org.tensorflow.op.core: Optional attributes for Placeholder
PLACEHOLDER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AttrValue
PlaceholderWithDefault<T extends TType> - Class in org.tensorflow.op.core: A placeholder op that passes through input when its output is not fed.
PlaceholderWithDefault(Operation) - Constructor for class org.tensorflow.op.core.PlaceholderWithDefault
placeholderWithDefault(Operand<T>, Shape) - Method in class org.tensorflow.op.Ops: A placeholder op that passes through input when its output is not fed.
PlaceholderWithDefault.Inputs<T extends TType> - Class in org.tensorflow.op.core
PLACEMENT_PERIOD_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto
PLANES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XSpace
PLATFORM_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.MachineConfiguration
PlatformInfo - Class in org.tensorflow.proto.util.testlog: Protobuf type tensorflow.PlatformInfo
PlatformInfo.Builder - Class in org.tensorflow.proto.util.testlog: Protobuf type tensorflow.PlatformInfo
PlatformInfoOrBuilder - Interface in org.tensorflow.proto.util.testlog
PLUGGABLE_DEVICE_VALUE - Static variable in enum org.tensorflow.proto.profiler.ProfileOptions.DeviceType: PLUGGABLE_DEVICE = 4;
PLUGIN_DATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SummaryMetadata
PLUGIN_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
pointer - Variable in class org.tensorflow.internal.c_api.AbstractTF_Tensor: A reference to prevent deallocation.
points - Variable in class org.tensorflow.op.cluster.KmeansPlusPlusInitialization.Inputs: Matrix of shape (n, d).
points - Variable in class org.tensorflow.op.image.NearestNeighbors.Inputs: Matrix of shape (n, d).
POLICY_FAIL_VALUE - Static variable in enum org.tensorflow.proto.data.ExternalStatePolicy: POLICY_FAIL = 2;
POLICY_IGNORE_VALUE - Static variable in enum org.tensorflow.proto.data.ExternalStatePolicy: POLICY_IGNORE = 1;
POLICY_WARN_VALUE - Static variable in enum org.tensorflow.proto.data.ExternalStatePolicy: POLICY_WARN = 0;
POLLING_ACTIVE_DELAY_USECS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GPUOptions
POLLING_INACTIVE_DELAY_MSECS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GPUOptions
Polygamma<T extends TNumber> - Class in org.tensorflow.op.math: Compute the polygamma function \(\psi^{(n)}(x)\).
Polygamma(Operation) - Constructor for class org.tensorflow.op.math.Polygamma
polygamma(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Compute the polygamma function \(\psi^{(n)}(x)\).
Polygamma.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
poolingRatio - Variable in class org.tensorflow.op.nn.FractionalAvgPool.Inputs: Pooling ratio for each dimension of `value`, currently only supports row and col dimension and should be >= 1.0.
poolingRatio - Variable in class org.tensorflow.op.nn.FractionalMaxPool.Inputs: Pooling ratio for each dimension of `value`, currently only supports row and col dimension and should be >= 1.0.
poolingType - Variable in class org.tensorflow.op.risc.RiscPool.Inputs: The poolingType attribute
pop_back() - Method in class org.tensorflow.internal.c_api.NativeOutputVector
PopulationCount - Class in org.tensorflow.op.math: Computes element-wise population count (a.k.a.
PopulationCount(Operation) - Constructor for class org.tensorflow.op.math.PopulationCount
populationCount(Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Computes element-wise population count (a.k.a.
PopulationCount.Inputs - Class in org.tensorflow.op.math
PORT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
PORT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
PORT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.distruntime.ServerDef
pos - Variable in class org.tensorflow.op.strings.Substr.Inputs: Scalar defining the position of first character in each substring
position(long) - Method in class org.tensorflow.internal.c_api.GradOpRegistry
position(long) - Method in class org.tensorflow.internal.c_api.NativeOperation
position(long) - Method in class org.tensorflow.internal.c_api.NativeOutput
position(long) - Method in class org.tensorflow.internal.c_api.TF_AllocatorAttributes
position(long) - Method in class org.tensorflow.internal.c_api.TF_AttrMetadata
position(long) - Method in class org.tensorflow.internal.c_api.TF_Buffer
position(long) - Method in class org.tensorflow.internal.c_api.TF_Input
position(long) - Method in class org.tensorflow.internal.c_api.TF_Output
position(long) - Method in class org.tensorflow.internal.c_api.TF_StringView
position(long) - Method in class org.tensorflow.internal.c_api.TF_TString
position(long) - Method in class org.tensorflow.internal.c_api.TF_TString_Large
position(long) - Method in class org.tensorflow.internal.c_api.TF_TString_Offset
position(long) - Method in class org.tensorflow.internal.c_api.TF_TString_Raw
position(long) - Method in class org.tensorflow.internal.c_api.TF_TString_Small
position(long) - Method in class org.tensorflow.internal.c_api.TF_TString_Union
position(long) - Method in class org.tensorflow.internal.c_api.TF_TString_View
POST_OPTIMIZATION_GRAPH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
POST_OPTIMIZATION_VERIFIER_CONFIG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
postNmsTopn - Variable in class org.tensorflow.op.image.GenerateBoundingBoxProposals.Inputs: An integer.
postNmsTopn(Long) - Method in class org.tensorflow.op.image.GenerateBoundingBoxProposals.Options: Sets the postNmsTopn option.
postNmsTopn(Long) - Static method in class org.tensorflow.op.image.GenerateBoundingBoxProposals: Sets the postNmsTopn option.
Pow<T extends TType> - Class in org.tensorflow.op.math: Computes the power of one value to another.
Pow(Operation) - Constructor for class org.tensorflow.op.math.Pow
pow(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes the power of one value to another.
Pow.Inputs<T extends TType> - Class in org.tensorflow.op.math
PRE_OPTIMIZATION_GRAPH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
PRECEDING_NODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
PRECEDING_PORT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
precision - Variable in class org.tensorflow.op.dtypes.AsString.Inputs: The post-decimal precision to use for floating point numbers.
precision(Long) - Method in class org.tensorflow.op.dtypes.AsString.Options: Sets the precision option.
precision(Long) - Static method in class org.tensorflow.op.dtypes.AsString: Sets the precision option.
precision() - Method in class org.tensorflow.op.nn.InTopK: Gets precision.
precisionConfig - Variable in class org.tensorflow.op.xla.Conv.Inputs: a serialized xla::PrecisionConfig proto.
precisionConfig - Variable in class org.tensorflow.op.xla.Dot.Inputs: a serialized xla::PrecisionConfig proto.
precisionConfig - Variable in class org.tensorflow.op.xla.Svd.Inputs: a serialized xla::PrecisionConfig proto.
pred - Variable in class org.tensorflow.op.core.RefSwitch.Inputs: A scalar that specifies which output port will receive data.
pred - Variable in class org.tensorflow.op.core.SwitchCond.Inputs: A scalar that specifies which output port will receive data.
pred - Variable in class org.tensorflow.op.risc.RiscCondition.Inputs: The pred input
PRED_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CondContextDef
predictions - Variable in class org.tensorflow.op.nn.InTopK.Inputs: A batch_size x classes tensor.
preferredElementType - Variable in class org.tensorflow.op.xla.Conv.Inputs: The type of the tensor.
preferredElementType - Variable in class org.tensorflow.op.xla.Dot.Inputs: The type of the tensor.
preferredShard - Variable in class org.tensorflow.op.train.RestoreSlice.Inputs: Index of file to open first if multiple files match `file_pattern`.
preferredShard(Long) - Method in class org.tensorflow.op.train.RestoreSlice.Options: Sets the preferredShard option.
preferredShard(Long) - Static method in class org.tensorflow.op.train.RestoreSlice: Sets the preferredShard option.
PrefetchDataset - Class in org.tensorflow.op.data: Creates a dataset that asynchronously prefetches elements from input_dataset.
PrefetchDataset(Operation) - Constructor for class org.tensorflow.op.data.PrefetchDataset
prefetchDataset(Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, PrefetchDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that asynchronously prefetches elements from input_dataset.
PrefetchDataset.Inputs - Class in org.tensorflow.op.data
PrefetchDataset.Options - Class in org.tensorflow.op.data: Optional attributes for PrefetchDataset
prefetchInputElements - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The prefetchInputElements input
prefetchInputElements - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The prefetchInputElements input
prefetchInputElements - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: Determines the number of iterators to prefetch, allowing buffers to warm up and data to be pre-fetched without blocking the main thread.
prefix - Variable in class org.tensorflow.op.train.Restore.Inputs: Must have a single element.
prefix - Variable in class org.tensorflow.op.train.Save.Inputs: Must have a single element.
Prelinearize - Class in org.tensorflow.op.tpu: An op which linearizes one Tensor value to an opaque variant tensor.
Prelinearize(Operation) - Constructor for class org.tensorflow.op.tpu.Prelinearize
Prelinearize.Inputs - Class in org.tensorflow.op.tpu
Prelinearize.Options - Class in org.tensorflow.op.tpu: Optional attributes for Prelinearize
PrelinearizeTuple - Class in org.tensorflow.op.tpu: An op which linearizes multiple Tensor values to an opaque variant tensor.
PrelinearizeTuple(Operation) - Constructor for class org.tensorflow.op.tpu.PrelinearizeTuple
PrelinearizeTuple.Inputs - Class in org.tensorflow.op.tpu
PrelinearizeTuple.Options - Class in org.tensorflow.op.tpu: Optional attributes for PrelinearizeTuple
preNmsTopn - Variable in class org.tensorflow.op.image.GenerateBoundingBoxProposals.Inputs: A scalar int tensor for the number of top scoring boxes to be used as input.
prepend(Scope, Shape<TInt32>, int) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand containing the first dimension followed by the dimensions of the shape.
prepend(Scope, Shape<TInt64>, long) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand containing the first dimension followed by the dimensions of the shape.
prepend(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand that represents a new shape containing the dimensions of an operand representing the shape to prepend, followed by the dimensions of an operand representing a shape.
prepend(Shape<TInt64>, long) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand containing the first dimension followed by the dimensions of the shape.
prepend(Shape<TInt32>, int) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand containing the first dimension followed by the dimensions of the shape.
prepend(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand that represents a new shape containing the dimensions of an operand representing the shape to prepend, followed by the dimensions of an operand representing a shape.
preprocessCollapseRepeated - Variable in class org.tensorflow.op.nn.CtcLoss.Inputs: Scalar, if true then repeated labels are collapsed prior to the CTC calculation.
preprocessCollapseRepeated(Boolean) - Method in class org.tensorflow.op.nn.CtcLoss.Options: Sets the preprocessCollapseRepeated option.
preprocessCollapseRepeated(Boolean) - Static method in class org.tensorflow.op.nn.CtcLoss: Sets the preprocessCollapseRepeated option.
preprocessCollapseRepeated - Variable in class org.tensorflow.op.nn.CTCLossV2.Inputs: Scalar, if true then repeated labels are collapsed prior to the CTC calculation.
preprocessCollapseRepeated(Boolean) - Method in class org.tensorflow.op.nn.CTCLossV2.Options: Sets the preprocessCollapseRepeated option.
preprocessCollapseRepeated(Boolean) - Static method in class org.tensorflow.op.nn.CTCLossV2: Sets the preprocessCollapseRepeated option.
preserveCardinality - Variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs: The preserveCardinality attribute
preserveCardinality(Boolean) - Method in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Options: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Static method in class org.tensorflow.op.data.experimental.MapAndBatchDataset: Sets the preserveCardinality option.
preserveCardinality - Variable in class org.tensorflow.op.data.experimental.MapDataset.Inputs: The preserveCardinality attribute
preserveCardinality(Boolean) - Method in class org.tensorflow.op.data.experimental.MapDataset.Options: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Static method in class org.tensorflow.op.data.experimental.MapDataset: Sets the preserveCardinality option.
preserveCardinality - Variable in class org.tensorflow.op.data.experimental.ScanDataset.Inputs: The preserveCardinality attribute
preserveCardinality(Boolean) - Method in class org.tensorflow.op.data.experimental.ScanDataset.Options: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Static method in class org.tensorflow.op.data.experimental.ScanDataset: Sets the preserveCardinality option.
preserveCardinality - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: The preserveCardinality attribute
preserveCardinality(Boolean) - Method in class org.tensorflow.op.data.MapAndBatchDataset.Options: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Static method in class org.tensorflow.op.data.MapAndBatchDataset: Sets the preserveCardinality option.
preserveCardinality - Variable in class org.tensorflow.op.data.MapDataset.Inputs: The preserveCardinality attribute
preserveCardinality(Boolean) - Method in class org.tensorflow.op.data.MapDataset.Options: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Static method in class org.tensorflow.op.data.MapDataset: Sets the preserveCardinality option.
preserveCardinality - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The preserveCardinality attribute
preserveCardinality(Boolean) - Method in class org.tensorflow.op.data.ParallelMapDataset.Options: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Static method in class org.tensorflow.op.data.ParallelMapDataset: Sets the preserveCardinality option.
preserveCardinality - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The preserveCardinality attribute
preserveCardinality(Boolean) - Method in class org.tensorflow.op.data.ScanDataset.Options: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Static method in class org.tensorflow.op.data.ScanDataset: Sets the preserveCardinality option.
preserveShortSequences - Variable in class org.tensorflow.op.strings.StringNGrams.Inputs: The preserveShortSequences attribute
PreventGradient<T extends TType> - Class in org.tensorflow.op.train: An identity op that triggers an error if a gradient is requested.
PreventGradient(Operation) - Constructor for class org.tensorflow.op.train.PreventGradient
preventGradient(Operand<T>, PreventGradient.Options...) - Method in class org.tensorflow.op.TrainOps: An identity op that triggers an error if a gradient is requested.
PreventGradient.Inputs<T extends TType> - Class in org.tensorflow.op.train
PreventGradient.Options - Class in org.tensorflow.op.train: Optional attributes for PreventGradient
Print - Class in org.tensorflow.op.core: Prints a string scalar.
Print(Operation) - Constructor for class org.tensorflow.op.core.Print
print(Operand<TString>, Print.Options...) - Method in class org.tensorflow.op.Ops: Prints a string scalar.
Print.Inputs - Class in org.tensorflow.op.core
Print.Options - Class in org.tensorflow.op.core: Optional attributes for Print
PRIORITY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
PRIORITY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.KernelDef
PRIORITY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
PriorityQueue - Class in org.tensorflow.op.io: A queue that produces elements sorted by the first component value.
PriorityQueue(Operation) - Constructor for class org.tensorflow.op.io.PriorityQueue
priorityQueue(List<Class<? extends TType>>, List<Shape>, PriorityQueue.Options...) - Method in class org.tensorflow.op.IoOps: A queue that produces elements sorted by the first component value.
PriorityQueue.Inputs - Class in org.tensorflow.op.io
PriorityQueue.Options - Class in org.tensorflow.op.io: Optional attributes for PriorityQueue
PRIVATE_THREADPOOL_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.ThreadingOptions
PrivateThreadPoolDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that uses a custom thread pool to compute input_dataset.
PrivateThreadPoolDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset
PrivateThreadPoolDataset - Class in org.tensorflow.op.data: Creates a dataset that uses a custom thread pool to compute input_dataset.
PrivateThreadPoolDataset(Operation) - Constructor for class org.tensorflow.op.data.PrivateThreadPoolDataset
privateThreadPoolDataset(Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Creates a dataset that uses a custom thread pool to compute input_dataset.
PrivateThreadPoolDataset.Inputs - Class in org.tensorflow.op.data.experimental
PrivateThreadPoolDataset.Inputs - Class in org.tensorflow.op.data
probs - Variable in class org.tensorflow.op.random.StatefulRandomBinomial.Inputs: The probs input
probs - Variable in class org.tensorflow.op.random.StatelessRandomBinomial.Inputs: The probability of success for the binomial distribution.
PROCESSING_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto.Node
processingMode - Variable in class org.tensorflow.op.data.DataServiceDatasetV2.Inputs: The processingMode input
Prod<T extends TType> - Class in org.tensorflow.op.core: Computes the product of elements across dimensions of a tensor.
Prod(Operation) - Constructor for class org.tensorflow.op.core.Prod
prod(Operand<T>, Operand<? extends TNumber>, Prod.Options...) - Method in class org.tensorflow.op.Ops: Computes the product of elements across dimensions of a tensor.
Prod.Inputs<T extends TType> - Class in org.tensorflow.op.core
Prod.Options - Class in org.tensorflow.op.core: Optional attributes for Prod
PRODUCER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.VersionDef
product() - Method in class org.tensorflow.op.linalg.Cross: Gets product.
product() - Method in class org.tensorflow.op.linalg.MatMul: Gets product.
product() - Method in class org.tensorflow.op.risc.RiscDot: Gets product.
product() - Method in class org.tensorflow.op.sparse.SparseMatMul: Gets product.
product() - Method in class org.tensorflow.op.sparse.SparseTensorDenseMatMul: Gets product.
product() - Method in class org.tensorflow.op.xla.Einsum: Gets product.
ProfileOptions - Class in org.tensorflow.proto.profiler: Next ID: 11
ProfileOptions.Builder - Class in org.tensorflow.proto.profiler: Next ID: 11
ProfileOptions.DeviceType - Enum in org.tensorflow.proto.profiler: Protobuf enum tensorflow.ProfileOptions.DeviceType
ProfileOptionsOrBuilder - Interface in org.tensorflow.proto.profiler
PROFILER_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
ProfilerOptionsProtos - Class in org.tensorflow.proto.profiler
program() - Method in class org.tensorflow.op.tpu.Compile: Gets program.
progressive - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: If True, create a JPEG that loads progressively (coarse to fine).
progressive(Boolean) - Method in class org.tensorflow.op.image.EncodeJpeg.Options: Sets the progressive option.
progressive(Boolean) - Static method in class org.tensorflow.op.image.EncodeJpeg: Sets the progressive option.
PROPERTIES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NamedDevice
protocol - Variable in class org.tensorflow.op.data.DataServiceDatasetV2.Inputs: The protocol input
protocol - Variable in class org.tensorflow.op.data.RegisterDataset.Inputs: The protocol input
PROTOCOL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
PROTOCOL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
PROTOCOL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.distruntime.ServerDef
pruningMode - Variable in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsemble.Inputs: 0-No pruning, 1-Pre-pruning, 2-Post-pruning.
pruningMode - Variable in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsembleV2.Inputs: 0-No pruning, 1-Pre-pruning, 2-Post-pruning.
pseudoRandom - Variable in class org.tensorflow.op.nn.FractionalAvgPool.Inputs: When set to True, generates the pooling sequence in a pseudorandom fashion, otherwise, in a random fashion.
pseudoRandom(Boolean) - Method in class org.tensorflow.op.nn.FractionalAvgPool.Options: Sets the pseudoRandom option.
pseudoRandom(Boolean) - Static method in class org.tensorflow.op.nn.FractionalAvgPool: Sets the pseudoRandom option.
pseudoRandom - Variable in class org.tensorflow.op.nn.FractionalMaxPool.Inputs: When set to True, generates the pooling sequence in a pseudorandom fashion, otherwise, in a random fashion.
pseudoRandom(Boolean) - Method in class org.tensorflow.op.nn.FractionalMaxPool.Options: Sets the pseudoRandom option.
pseudoRandom(Boolean) - Static method in class org.tensorflow.op.nn.FractionalMaxPool: Sets the pseudoRandom option.
ptr() - Method in class org.tensorflow.internal.c_api.TF_TString_Large
ptr(BytePointer) - Method in class org.tensorflow.internal.c_api.TF_TString_Large
ptr() - Method in class org.tensorflow.internal.c_api.TF_TString_View
ptr(BytePointer) - Method in class org.tensorflow.internal.c_api.TF_TString_View
PTR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AllocationDescription
PTR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MemoryLogRawAllocation
push_back(NativeOutput) - Method in class org.tensorflow.internal.c_api.NativeOutputVector
put(NameMap) - Method in class org.tensorflow.internal.c_api.NameMap
put(BytePointer, Node) - Method in class org.tensorflow.internal.c_api.NameMap
put(NativeOutputVector) - Method in class org.tensorflow.internal.c_api.NativeOutputVector
put(long, NativeOutput) - Method in class org.tensorflow.internal.c_api.NativeOutputVector
put(NativeOutput) - Method in class org.tensorflow.internal.c_api.NativeOutputVector
put(NativeOutput...) - Method in class org.tensorflow.internal.c_api.NativeOutputVector
put(NativeStatus) - Method in class org.tensorflow.internal.c_api.NativeStatus: Copy the specified status.
put(TF_Scope) - Method in class org.tensorflow.internal.c_api.TF_Scope
putAllArgAttr(Map<Integer, FunctionDef.ArgAttrs>) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
putAllAttr(Map<String, AttrValue>) - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder: map<string, .tensorflow.AttrValue> attr = 1;
putAllAttr(Map<String, AttrValue>) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: Attributes specific to this function definition.
putAllAttr(Map<String, AttrValue>) - Method in class org.tensorflow.proto.framework.NameAttrList.Builder: map<string, .tensorflow.AttrValue> attr = 2;
putAllAttr(Map<String, AttrValue>) - Method in class org.tensorflow.proto.framework.NodeDef.Builder: Operation-specific graph-construction-time configuration.
putAllAttr(Map<String, AttrValue>) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Custom parameters impacting the behavior of the op.
putAllCacheSize(Map<String, Long>) - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder: Cache sizes (in bytes), e.g.
putAllCollectionDef(Map<String, CollectionDef>) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: collection_def: Map from collection name to collections.
putAllConcreteFunctions(Map<String, SavedConcreteFunction>) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder: Information about captures and output structures in concrete functions.
putAllControlRet(Map<String, String>) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
putAllDeviceCount(Map<String, Integer>) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
putAllEnvironment(Map<String, String>) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Version of the tools and libraries used with this device (e.g.
putAllEnvVars(Map<String, String>) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder: Environment variables used to run the test/benchmark.
putAllEventMetadata(Map<Long, XEventMetadata>) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XEventMetadata map, each entry uses the XEventMetadata.id as key.
putAllExternalValues(Map<String, String>) - Method in class org.tensorflow.proto.framework.ValuesDef.Builder: Value names referenced by but external to this context.
putAllExtras(Map<String, EntryValue>) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Generic map from result key to value.
putAllFeature(Map<String, Feature>) - Method in class org.tensorflow.proto.example.Features.Builder: Map from feature name to feature.
putAllFeatureList(Map<String, FeatureList>) - Method in class org.tensorflow.proto.example.FeatureLists.Builder: Map from feature name to feature list.
putAllFeatureMap(Map<String, FeatureConfiguration>) - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
putAllFeedDevices(Map<String, String>) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
putAllFetchDevices(Map<String, String>) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: map<string, string> fetch_devices = 7;
putAllFields(Map<String, StructuredValue>) - Method in class org.tensorflow.proto.framework.DictValue.Builder: map<string, .tensorflow.StructuredValue> fields = 1;
putAllFunctionAliases(Map<String, String>) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: FunctionDef name to aliases mapping.
putAllInputs(Map<String, TensorInfo>) - Method in class org.tensorflow.proto.framework.SignatureDef.Builder: Named input parameters.
putAllNodes(Map<Long, ModelProto.Node>) - Method in class org.tensorflow.proto.data.model.ModelProto.Builder: Map of node IDs to nodes of this model.
putAllOutputs(Map<String, TensorInfo>) - Method in class org.tensorflow.proto.framework.SignatureDef.Builder: Named output parameters.
putAllParameterMap(Map<String, AttrValue>) - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder: map<string, .tensorflow.AttrValue> parameter_map = 2;
putAllResourceArgUniqueId(Map<Integer, Integer>) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: Unique IDs for each resource argument, used to track aliasing resources.
putAllRet(Map<String, String>) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
putAllSaveableObjects(Map<String, SaveableObject>) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: map<string, .tensorflow.SaveableObject> saveable_objects = 11;
putAllSignatureDef(Map<String, SignatureDef>) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
putAllStatMetadata(Map<Long, XStatMetadata>) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XStatMetadata map, each entry uses the XStatMetadata.id as key.
putAllTasks(Map<Integer, String>) - Method in class org.tensorflow.proto.distruntime.JobDef.Builder: Mapping from task ID to "hostname:port" string.
putAllTasks(Map<Integer, TaskDeviceFilters>) - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder: Mapping from task ID to task device filters.
putAllThreadNames(Map<Integer, String>) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: Its key is thread id.
putAllTraces(Map<String, GraphDebugInfo.StackTrace>) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder: This maps a node name to a stack trace in the source code.
putArgAttr(int, FunctionDef.ArgAttrs) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
putAttr(String, AttrValue) - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder: map<string, .tensorflow.AttrValue> attr = 1;
putAttr(String, AttrValue) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: Attributes specific to this function definition.
putAttr(String, AttrValue) - Method in class org.tensorflow.proto.framework.NameAttrList.Builder: map<string, .tensorflow.AttrValue> attr = 2;
putAttr(String, AttrValue) - Method in class org.tensorflow.proto.framework.NodeDef.Builder: Operation-specific graph-construction-time configuration.
putAttr(String, AttrValue) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Custom parameters impacting the behavior of the op.
putCacheSize(String, long) - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder: Cache sizes (in bytes), e.g.
putCollectionDef(String, CollectionDef) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: collection_def: Map from collection name to collections.
putConcreteFunctions(String, SavedConcreteFunction) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder: Information about captures and output structures in concrete functions.
putControlRet(String, String) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
putDeviceCount(String, int) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
putEnvironment(String, String) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Version of the tools and libraries used with this device (e.g.
putEnvVars(String, String) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder: Environment variables used to run the test/benchmark.
putEventMetadata(long, XEventMetadata) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XEventMetadata map, each entry uses the XEventMetadata.id as key.
putExternalValues(String, String) - Method in class org.tensorflow.proto.framework.ValuesDef.Builder: Value names referenced by but external to this context.
putExtras(String, EntryValue) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Generic map from result key to value.
putFeature(String, Feature) - Method in class org.tensorflow.proto.example.Features.Builder: Map from feature name to feature.
putFeatureList(String, FeatureList) - Method in class org.tensorflow.proto.example.FeatureLists.Builder: Map from feature name to feature list.
putFeatureMap(String, FeatureConfiguration) - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
putFeedDevices(String, String) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
putFetchDevices(String, String) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: map<string, string> fetch_devices = 7;
putFields(String, StructuredValue) - Method in class org.tensorflow.proto.framework.DictValue.Builder: map<string, .tensorflow.StructuredValue> fields = 1;
putFunctionAliases(String, String) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: FunctionDef name to aliases mapping.
putInputs(String, TensorInfo) - Method in class org.tensorflow.proto.framework.SignatureDef.Builder: Named input parameters.
putNodes(long, ModelProto.Node) - Method in class org.tensorflow.proto.data.model.ModelProto.Builder: Map of node IDs to nodes of this model.
putOutputs(String, TensorInfo) - Method in class org.tensorflow.proto.framework.SignatureDef.Builder: Named output parameters.
putParameterMap(String, AttrValue) - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder: map<string, .tensorflow.AttrValue> parameter_map = 2;
putResourceArgUniqueId(int, int) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: Unique IDs for each resource argument, used to track aliasing resources.
putRet(String, String) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
putSaveableObjects(String, SaveableObject) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: map<string, .tensorflow.SaveableObject> saveable_objects = 11;
putSignatureDef(String, SignatureDef) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
putStatMetadata(long, XStatMetadata) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XStatMetadata map, each entry uses the XStatMetadata.id as key.
putTasks(int, String) - Method in class org.tensorflow.proto.distruntime.JobDef.Builder: Mapping from task ID to "hostname:port" string.
putTasks(int, TaskDeviceFilters) - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder: Mapping from task ID to task device filters.
putThreadNames(int, String) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: Its key is thread id.
putToNativeOutputs(List<Operand<?>>, NativeOutputVector) - Static method in class org.tensorflow.BaseGradientAdapter: Put the Java outputs into the array of native outputs, resizing it to the necessary size.
putTraces(String, GraphDebugInfo.StackTrace) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder: This maps a node name to a stack trace in the source code.
PYTHON_BENCHMARK_VALUE - Static variable in enum org.tensorflow.proto.util.testlog.TestResults.BenchmarkType: PYTHON_BENCHMARK = 2;
PYTHON_TRACER_LEVEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.ProfileOptions

Q

q() - Method in class org.tensorflow.op.linalg.Qr: Gets q.
q - Variable in class org.tensorflow.op.math.Zeta.Inputs: The q input
Qr<T extends TType> - Class in org.tensorflow.op.linalg: Computes the QR decompositions of one or more matrices.
Qr(Operation) - Constructor for class org.tensorflow.op.linalg.Qr
qr(Operand<T>, Qr.Options...) - Method in class org.tensorflow.op.LinalgOps: Computes the QR decompositions of one or more matrices.
Qr.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
Qr.Options - Class in org.tensorflow.op.linalg: Optional attributes for Qr
quality - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: Quality of the compression from 0 to 100 (higher is better and slower).
quality(Long) - Method in class org.tensorflow.op.image.EncodeJpeg.Options: Sets the quality option.
quality(Long) - Static method in class org.tensorflow.op.image.EncodeJpeg: Sets the quality option.
quality - Variable in class org.tensorflow.op.image.EncodeJpegVariableQuality.Inputs: An int quality to encode to.
quantileStreamResourceHandle - Variable in class org.tensorflow.op.estimator.BoostedTreesCreateQuantileStreamResource.Inputs: resource; Handle to quantile stream resource.
quantileStreamResourceHandle - Variable in class org.tensorflow.op.estimator.BoostedTreesFlushQuantileSummaries.Inputs: resource handle referring to a QuantileStreamResource.
quantileStreamResourceHandle - Variable in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceAddSummaries.Inputs: resource handle referring to a QuantileStreamResource.
quantileStreamResourceHandle - Variable in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceDeserialize.Inputs: resource handle referring to a QuantileStreamResource.
quantileStreamResourceHandle - Variable in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceFlush.Inputs: resource handle referring to a QuantileStreamResource.
quantileStreamResourceHandle - Variable in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceGetBucketBoundaries.Inputs: resource handle referring to a QuantileStreamResource.
quantileStreamResourceHandle - Variable in class org.tensorflow.op.estimator.IsBoostedTreesQuantileStreamResourceInitialized.Inputs: resource; The reference to quantile stream resource handle.
quantization - Variable in class org.tensorflow.op.Ops
QuantizationOps - Class in org.tensorflow.op: An API for building quantization operations as Ops
Quantize<T extends TNumber> - Class in org.tensorflow.op.quantization: Quantize the 'input' tensor of type float to 'output' tensor of type 'T'.
Quantize(Operation) - Constructor for class org.tensorflow.op.quantization.Quantize
quantize(Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<T>, Quantize.Options...) - Method in class org.tensorflow.op.QuantizationOps: Quantize the 'input' tensor of type float to 'output' tensor of type 'T'.
Quantize.Inputs - Class in org.tensorflow.op.quantization
Quantize.Options - Class in org.tensorflow.op.quantization: Optional attributes for Quantize
QuantizeAndDequantize<T extends TNumber> - Class in org.tensorflow.op.quantization: Quantizes then dequantizes a tensor.
QuantizeAndDequantize(Operation) - Constructor for class org.tensorflow.op.quantization.QuantizeAndDequantize
quantizeAndDequantize(Operand<T>, Operand<T>, Operand<T>, Operand<TInt32>, QuantizeAndDequantize.Options...) - Method in class org.tensorflow.op.QuantizationOps: Quantizes then dequantizes a tensor.
QuantizeAndDequantize.Inputs<T extends TNumber> - Class in org.tensorflow.op.quantization
QuantizeAndDequantize.Options - Class in org.tensorflow.op.quantization: Optional attributes for QuantizeAndDequantize
QuantizeAndDequantizeV3<T extends TNumber> - Class in org.tensorflow.op.quantization: Quantizes then dequantizes a tensor.
QuantizeAndDequantizeV3(Operation) - Constructor for class org.tensorflow.op.quantization.QuantizeAndDequantizeV3
quantizeAndDequantizeV3(Operand<T>, Operand<T>, Operand<T>, Operand<TInt32>, QuantizeAndDequantizeV3.Options...) - Method in class org.tensorflow.op.QuantizationOps: Quantizes then dequantizes a tensor.
QuantizeAndDequantizeV3.Inputs<T extends TNumber> - Class in org.tensorflow.op.quantization
QuantizeAndDequantizeV3.Options - Class in org.tensorflow.op.quantization: Optional attributes for QuantizeAndDequantizeV3
QuantizeAndDequantizeV4<T extends TNumber> - Class in org.tensorflow.op.quantization: Quantizes then dequantizes a tensor.
QuantizeAndDequantizeV4(Operation) - Constructor for class org.tensorflow.op.quantization.QuantizeAndDequantizeV4
quantizeAndDequantizeV4(Operand<T>, Operand<T>, Operand<T>, QuantizeAndDequantizeV4.Options...) - Method in class org.tensorflow.op.QuantizationOps: Quantizes then dequantizes a tensor.
QuantizeAndDequantizeV4.Inputs<T extends TNumber> - Class in org.tensorflow.op.quantization
QuantizeAndDequantizeV4.Options - Class in org.tensorflow.op.quantization: Optional attributes for QuantizeAndDequantizeV4
QuantizeAndDequantizeV4Grad<T extends TNumber> - Class in org.tensorflow.op.quantization: Returns the gradient of QuantizeAndDequantizeV4.
QuantizeAndDequantizeV4Grad(Operation) - Constructor for class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad
quantizeAndDequantizeV4Grad(Operand<T>, Operand<T>, Operand<T>, Operand<T>, QuantizeAndDequantizeV4Grad.Options...) - Method in class org.tensorflow.op.QuantizationOps: Returns the gradient of QuantizeAndDequantizeV4.
QuantizeAndDequantizeV4Grad.Inputs<T extends TNumber> - Class in org.tensorflow.op.quantization
QuantizeAndDequantizeV4Grad.Options - Class in org.tensorflow.op.quantization: Optional attributes for QuantizeAndDequantizeV4Grad
QuantizedAdd<V extends TNumber> - Class in org.tensorflow.op.math: Returns x + y element-wise, working on quantized buffers.
QuantizedAdd(Operation) - Constructor for class org.tensorflow.op.math.QuantizedAdd
quantizedAdd(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>) - Method in class org.tensorflow.op.MathOps: Returns x + y element-wise, working on quantized buffers.
QuantizedAdd.Inputs - Class in org.tensorflow.op.math
QuantizedAvgPool<T extends TNumber> - Class in org.tensorflow.op.nn: Produces the average pool of the input tensor for quantized types.
QuantizedAvgPool(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedAvgPool
quantizedAvgPool(Operand<T>, Operand<TFloat32>, Operand<TFloat32>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.NnOps: Produces the average pool of the input tensor for quantized types.
QuantizedAvgPool.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
QuantizedBatchNormWithGlobalNormalization - Class in org.tensorflow.op.nn: Quantized Batch normalization.
QuantizedBatchNormWithGlobalNormalization(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization
quantizedBatchNormWithGlobalNormalization(Operand<T>, Operand<TFloat32>, Operand<TFloat32>, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, Class, Float, Boolean) - Method in class org.tensorflow.op.NnOps: Quantized Batch normalization.
QuantizedBatchNormWithGlobalNormalization.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
QuantizedBiasAdd<V extends TNumber> - Class in org.tensorflow.op.nn: Adds Tensor 'bias' to Tensor 'input' for Quantized types.
QuantizedBiasAdd(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedBiasAdd
quantizedBiasAdd(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>) - Method in class org.tensorflow.op.NnOps: Adds Tensor 'bias' to Tensor 'input' for Quantized types.
QuantizedBiasAdd.Inputs - Class in org.tensorflow.op.nn
QuantizedConcat<T extends TType> - Class in org.tensorflow.op.quantization: Concatenates quantized tensors along one dimension.
QuantizedConcat(Operation) - Constructor for class org.tensorflow.op.quantization.QuantizedConcat
quantizedConcat(Operand<TInt32>, Iterable<Operand<T>>, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>) - Method in class org.tensorflow.op.QuantizationOps: Concatenates quantized tensors along one dimension.
QuantizedConcat.Inputs<T extends TType> - Class in org.tensorflow.op.quantization
QuantizedConv2d<V extends TNumber> - Class in org.tensorflow.op.nn: Computes a 2D convolution given quantized 4D input and filter tensors.
QuantizedConv2d(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2d
quantizedConv2d(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedConv2d.Options...) - Method in class org.tensorflow.op.NnOps: Computes a 2D convolution given quantized 4D input and filter tensors.
QuantizedConv2d.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2d.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2d
QuantizedConv2DAndRelu<V extends TNumber> - Class in org.tensorflow.op.nn: The QuantizedConv2DAndRelu operation
QuantizedConv2DAndRelu(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DAndRelu
QuantizedConv2DAndRelu.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DAndRelu.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DAndRelu
QuantizedConv2DAndReluAndRequantize<V extends TNumber> - Class in org.tensorflow.op.nn: The QuantizedConv2DAndReluAndRequantize operation
QuantizedConv2DAndReluAndRequantize(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize
QuantizedConv2DAndReluAndRequantize.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DAndReluAndRequantize.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DAndReluAndRequantize
QuantizedConv2DAndRequantize<V extends TNumber> - Class in org.tensorflow.op.nn: The QuantizedConv2DAndRequantize operation
QuantizedConv2DAndRequantize(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DAndRequantize
QuantizedConv2DAndRequantize.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DAndRequantize.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DAndRequantize
QuantizedConv2DPerChannel<V extends TNumber> - Class in org.tensorflow.op.nn: Computes QuantizedConv2D per channel.
QuantizedConv2DPerChannel(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DPerChannel
QuantizedConv2DPerChannel.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DPerChannel.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DPerChannel
QuantizedConv2DWithBias<V extends TNumber> - Class in org.tensorflow.op.nn: The QuantizedConv2DWithBias operation
QuantizedConv2DWithBias(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBias
QuantizedConv2DWithBias.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DWithBias.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DWithBias
QuantizedConv2DWithBiasAndRelu<V extends TNumber> - Class in org.tensorflow.op.nn: The QuantizedConv2DWithBiasAndRelu operation
QuantizedConv2DWithBiasAndRelu(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu
QuantizedConv2DWithBiasAndRelu.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DWithBiasAndRelu.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DWithBiasAndRelu
QuantizedConv2DWithBiasAndReluAndRequantize<W extends TNumber> - Class in org.tensorflow.op.nn: The QuantizedConv2DWithBiasAndReluAndRequantize operation
QuantizedConv2DWithBiasAndReluAndRequantize(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize
QuantizedConv2DWithBiasAndReluAndRequantize.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DWithBiasAndReluAndRequantize.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DWithBiasAndReluAndRequantize
QuantizedConv2DWithBiasAndRequantize<W extends TNumber> - Class in org.tensorflow.op.nn: The QuantizedConv2DWithBiasAndRequantize operation
QuantizedConv2DWithBiasAndRequantize(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize
QuantizedConv2DWithBiasAndRequantize.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DWithBiasAndRequantize.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DWithBiasAndRequantize
QuantizedConv2DWithBiasSignedSumAndReluAndRequantize<X extends TNumber> - Class in org.tensorflow.op.nn: The QuantizedConv2DWithBiasSignedSumAndReluAndRequantize operation
QuantizedConv2DWithBiasSignedSumAndReluAndRequantize(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize
QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DWithBiasSignedSumAndReluAndRequantize
QuantizedConv2DWithBiasSumAndRelu<V extends TNumber> - Class in org.tensorflow.op.nn: The QuantizedConv2DWithBiasSumAndRelu operation
QuantizedConv2DWithBiasSumAndRelu(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu
QuantizedConv2DWithBiasSumAndRelu.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DWithBiasSumAndRelu.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DWithBiasSumAndRelu
QuantizedConv2DWithBiasSumAndReluAndRequantize<X extends TNumber> - Class in org.tensorflow.op.nn: The QuantizedConv2DWithBiasSumAndReluAndRequantize operation
QuantizedConv2DWithBiasSumAndReluAndRequantize(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize
QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DWithBiasSumAndReluAndRequantize.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DWithBiasSumAndReluAndRequantize
QuantizedDepthwiseConv2D<V extends TNumber> - Class in org.tensorflow.op.nn: Computes quantized depthwise Conv2D.
QuantizedDepthwiseConv2D(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedDepthwiseConv2D
QuantizedDepthwiseConv2D.Inputs - Class in org.tensorflow.op.nn
QuantizedDepthwiseConv2D.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedDepthwiseConv2D
QuantizedDepthwiseConv2DWithBias<V extends TNumber> - Class in org.tensorflow.op.nn: Computes quantized depthwise Conv2D with Bias.
QuantizedDepthwiseConv2DWithBias(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias
QuantizedDepthwiseConv2DWithBias.Inputs - Class in org.tensorflow.op.nn
QuantizedDepthwiseConv2DWithBias.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedDepthwiseConv2DWithBias
QuantizedDepthwiseConv2DWithBiasAndRelu<V extends TNumber> - Class in org.tensorflow.op.nn: Computes quantized depthwise Conv2D with Bias and Relu.
QuantizedDepthwiseConv2DWithBiasAndRelu(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu
QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs - Class in org.tensorflow.op.nn
QuantizedDepthwiseConv2DWithBiasAndRelu.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedDepthwiseConv2DWithBiasAndRelu
QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize<W extends TNumber> - Class in org.tensorflow.op.nn: Computes quantized depthwise Conv2D with Bias, Relu and Requantize.
QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize
QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs - Class in org.tensorflow.op.nn
QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize
QuantizedInstanceNorm<T extends TNumber> - Class in org.tensorflow.op.nn: Quantized Instance normalization.
QuantizedInstanceNorm(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedInstanceNorm
quantizedInstanceNorm(Operand<T>, Operand<TFloat32>, Operand<TFloat32>, QuantizedInstanceNorm.Options...) - Method in class org.tensorflow.op.NnOps: Quantized Instance normalization.
QuantizedInstanceNorm.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
QuantizedInstanceNorm.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedInstanceNorm
QuantizedMatMul<V extends TNumber> - Class in org.tensorflow.op.linalg: Perform a quantized matrix multiplication of a by the matrix b.
QuantizedMatMul(Operation) - Constructor for class org.tensorflow.op.linalg.QuantizedMatMul
quantizedMatMul(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, Class<W>, QuantizedMatMul.Options...) - Method in class org.tensorflow.op.LinalgOps: Perform a quantized matrix multiplication of a by the matrix b.
QuantizedMatMul.Inputs - Class in org.tensorflow.op.linalg
QuantizedMatMul.Options - Class in org.tensorflow.op.linalg: Optional attributes for QuantizedMatMul
QuantizedMatMulWithBias<W extends TNumber> - Class in org.tensorflow.op.linalg: Performs a quantized matrix multiplication of a by the matrix b with bias add.
QuantizedMatMulWithBias(Operation) - Constructor for class org.tensorflow.op.linalg.QuantizedMatMulWithBias
QuantizedMatMulWithBias.Inputs - Class in org.tensorflow.op.linalg
QuantizedMatMulWithBias.Options - Class in org.tensorflow.op.linalg: Optional attributes for QuantizedMatMulWithBias
QuantizedMatMulWithBiasAndDequantize<W extends TNumber> - Class in org.tensorflow.op.quantization: The QuantizedMatMulWithBiasAndDequantize operation
QuantizedMatMulWithBiasAndDequantize(Operation) - Constructor for class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize
QuantizedMatMulWithBiasAndDequantize.Inputs - Class in org.tensorflow.op.quantization
QuantizedMatMulWithBiasAndDequantize.Options - Class in org.tensorflow.op.quantization: Optional attributes for QuantizedMatMulWithBiasAndDequantize
QuantizedMatMulWithBiasAndRelu<V extends TNumber> - Class in org.tensorflow.op.linalg: Perform a quantized matrix multiplication of a by the matrix b with bias add and relu fusion.
QuantizedMatMulWithBiasAndRelu(Operation) - Constructor for class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu
QuantizedMatMulWithBiasAndRelu.Inputs - Class in org.tensorflow.op.linalg
QuantizedMatMulWithBiasAndRelu.Options - Class in org.tensorflow.op.linalg: Optional attributes for QuantizedMatMulWithBiasAndRelu
QuantizedMatMulWithBiasAndReluAndRequantize<W extends TNumber> - Class in org.tensorflow.op.linalg: Perform a quantized matrix multiplication of a by the matrix b with bias add and relu and requantize fusion.
QuantizedMatMulWithBiasAndReluAndRequantize(Operation) - Constructor for class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize
QuantizedMatMulWithBiasAndReluAndRequantize.Inputs - Class in org.tensorflow.op.linalg
QuantizedMatMulWithBiasAndReluAndRequantize.Options - Class in org.tensorflow.op.linalg: Optional attributes for QuantizedMatMulWithBiasAndReluAndRequantize
QuantizedMatMulWithBiasAndRequantize<W extends TNumber> - Class in org.tensorflow.op.quantization: The QuantizedMatMulWithBiasAndRequantize operation
QuantizedMatMulWithBiasAndRequantize(Operation) - Constructor for class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize
QuantizedMatMulWithBiasAndRequantize.Inputs - Class in org.tensorflow.op.quantization
QuantizedMatMulWithBiasAndRequantize.Options - Class in org.tensorflow.op.quantization: Optional attributes for QuantizedMatMulWithBiasAndRequantize
QuantizedMaxPool<T extends TNumber> - Class in org.tensorflow.op.nn: Produces the max pool of the input tensor for quantized types.
QuantizedMaxPool(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedMaxPool
quantizedMaxPool(Operand<T>, Operand<TFloat32>, Operand<TFloat32>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.NnOps: Produces the max pool of the input tensor for quantized types.
QuantizedMaxPool.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
QuantizedMul<V extends TNumber> - Class in org.tensorflow.op.math: Returns x * y element-wise, working on quantized buffers.
QuantizedMul(Operation) - Constructor for class org.tensorflow.op.math.QuantizedMul
quantizedMul(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>) - Method in class org.tensorflow.op.MathOps: Returns x * y element-wise, working on quantized buffers.
QuantizedMul.Inputs - Class in org.tensorflow.op.math
QuantizeDownAndShrinkRange - Class in org.tensorflow.op.quantization: Convert the quantized 'input' tensor into a lower-precision 'output', using the actual distribution of the values to maximize the usage of the lower bit depth and adjusting the output min and max ranges accordingly.
QuantizeDownAndShrinkRange(Operation) - Constructor for class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange
quantizeDownAndShrinkRange(Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Class) - Method in class org.tensorflow.op.QuantizationOps: Convert the quantized 'input' tensor into a lower-precision 'output', using the actual distribution of the values to maximize the usage of the lower bit depth and adjusting the output min and max ranges accordingly.
QuantizeDownAndShrinkRange.Inputs - Class in org.tensorflow.op.quantization
QuantizedRelu - Class in org.tensorflow.op.nn: Computes Quantized Rectified Linear: max(features, 0)
QuantizedRelu(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedRelu
quantizedRelu(Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Class) - Method in class org.tensorflow.op.NnOps: Computes Quantized Rectified Linear: max(features, 0)
QuantizedRelu.Inputs - Class in org.tensorflow.op.nn
QuantizedRelu6 - Class in org.tensorflow.op.nn: Computes Quantized Rectified Linear 6: min(max(features, 0), 6)
QuantizedRelu6(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedRelu6
quantizedRelu6(Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Class) - Method in class org.tensorflow.op.NnOps: Computes Quantized Rectified Linear 6: min(max(features, 0), 6)
QuantizedRelu6.Inputs - Class in org.tensorflow.op.nn
QuantizedReluX - Class in org.tensorflow.op.nn: Computes Quantized Rectified Linear X: min(max(features, 0), max_value)
QuantizedReluX(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedReluX
quantizedReluX(Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class) - Method in class org.tensorflow.op.NnOps: Computes Quantized Rectified Linear X: min(max(features, 0), max_value)
QuantizedReluX.Inputs - Class in org.tensorflow.op.nn
QuantizedReshape<T extends TType> - Class in org.tensorflow.op.core: Reshapes a quantized tensor as per the Reshape op.
QuantizedReshape(Operation) - Constructor for class org.tensorflow.op.core.QuantizedReshape
quantizedReshape(Operand<T>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>) - Method in class org.tensorflow.op.Ops: Reshapes a quantized tensor as per the Reshape op.
QuantizedReshape.Inputs<T extends TType> - Class in org.tensorflow.op.core
QuantizedResizeBilinear<T extends TNumber> - Class in org.tensorflow.op.image: Resize quantized images to size using quantized bilinear interpolation.
QuantizedResizeBilinear(Operation) - Constructor for class org.tensorflow.op.image.QuantizedResizeBilinear
quantizedResizeBilinear(Operand<T>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, QuantizedResizeBilinear.Options...) - Method in class org.tensorflow.op.ImageOps: Resize quantized images to size using quantized bilinear interpolation.
QuantizedResizeBilinear.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
QuantizedResizeBilinear.Options - Class in org.tensorflow.op.image: Optional attributes for QuantizedResizeBilinear
query - Variable in class org.tensorflow.op.data.experimental.SqlDataset.Inputs: A SQL query to execute.
query - Variable in class org.tensorflow.op.data.SqlDataset.Inputs: A SQL query to execute.
QUEUE_CLOSED_EXCEPTION_TYPES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.QueueRunnerDef
QUEUE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.QueueRunnerDef
QueueClose - Class in org.tensorflow.op.io: Closes the given queue.
QueueClose(Operation) - Constructor for class org.tensorflow.op.io.QueueClose
queueClose(Operand<? extends TType>, QueueClose.Options...) - Method in class org.tensorflow.op.IoOps: Closes the given queue.
QueueClose.Inputs - Class in org.tensorflow.op.io
QueueClose.Options - Class in org.tensorflow.op.io: Optional attributes for QueueClose
QueueDequeue - Class in org.tensorflow.op.io: Dequeues a tuple of one or more tensors from the given queue.
QueueDequeue(Operation) - Constructor for class org.tensorflow.op.io.QueueDequeue
queueDequeue(Operand<? extends TType>, List<Class<? extends TType>>, QueueDequeue.Options...) - Method in class org.tensorflow.op.IoOps: Dequeues a tuple of one or more tensors from the given queue.
QueueDequeue.Inputs - Class in org.tensorflow.op.io
QueueDequeue.Options - Class in org.tensorflow.op.io: Optional attributes for QueueDequeue
QueueDequeueMany - Class in org.tensorflow.op.io: Dequeues n tuples of one or more tensors from the given queue.
QueueDequeueMany(Operation) - Constructor for class org.tensorflow.op.io.QueueDequeueMany
queueDequeueMany(Operand<? extends TType>, Operand<TInt32>, List<Class<? extends TType>>, QueueDequeueMany.Options...) - Method in class org.tensorflow.op.IoOps: Dequeues n tuples of one or more tensors from the given queue.
QueueDequeueMany.Inputs - Class in org.tensorflow.op.io
QueueDequeueMany.Options - Class in org.tensorflow.op.io: Optional attributes for QueueDequeueMany
QueueDequeueUpTo - Class in org.tensorflow.op.io: Dequeues n tuples of one or more tensors from the given queue.
QueueDequeueUpTo(Operation) - Constructor for class org.tensorflow.op.io.QueueDequeueUpTo
queueDequeueUpTo(Operand<? extends TType>, Operand<TInt32>, List<Class<? extends TType>>, QueueDequeueUpTo.Options...) - Method in class org.tensorflow.op.IoOps: Dequeues n tuples of one or more tensors from the given queue.
QueueDequeueUpTo.Inputs - Class in org.tensorflow.op.io
QueueDequeueUpTo.Options - Class in org.tensorflow.op.io: Optional attributes for QueueDequeueUpTo
QueueEnqueue - Class in org.tensorflow.op.io: Enqueues a tuple of one or more tensors in the given queue.
QueueEnqueue(Operation) - Constructor for class org.tensorflow.op.io.QueueEnqueue
queueEnqueue(Operand<? extends TType>, Iterable<Operand<?>>, QueueEnqueue.Options...) - Method in class org.tensorflow.op.IoOps: Enqueues a tuple of one or more tensors in the given queue.
QueueEnqueue.Inputs - Class in org.tensorflow.op.io
QueueEnqueue.Options - Class in org.tensorflow.op.io: Optional attributes for QueueEnqueue
QueueEnqueueMany - Class in org.tensorflow.op.io: Enqueues zero or more tuples of one or more tensors in the given queue.
QueueEnqueueMany(Operation) - Constructor for class org.tensorflow.op.io.QueueEnqueueMany
queueEnqueueMany(Operand<? extends TType>, Iterable<Operand<?>>, QueueEnqueueMany.Options...) - Method in class org.tensorflow.op.IoOps: Enqueues zero or more tuples of one or more tensors in the given queue.
QueueEnqueueMany.Inputs - Class in org.tensorflow.op.io
QueueEnqueueMany.Options - Class in org.tensorflow.op.io: Optional attributes for QueueEnqueueMany
queueHandle - Variable in class org.tensorflow.op.io.ReaderRead.Inputs: Handle to a Queue, with string work items.
queueHandle - Variable in class org.tensorflow.op.io.ReaderReadUpTo.Inputs: Handle to a Queue, with string work items.
QueueIsClosed - Class in org.tensorflow.op.io: Returns true if queue is closed.
QueueIsClosed(Operation) - Constructor for class org.tensorflow.op.io.QueueIsClosed
queueIsClosed(Operand<? extends TType>) - Method in class org.tensorflow.op.IoOps: Returns true if queue is closed.
QueueIsClosed.Inputs - Class in org.tensorflow.op.io
QueueRunnerDef - Class in org.tensorflow.proto.framework: Protocol buffer representing a QueueRunner.
QueueRunnerDef.Builder - Class in org.tensorflow.proto.framework: Protocol buffer representing a QueueRunner.
QueueRunnerDefOrBuilder - Interface in org.tensorflow.proto.framework
QueueRunnerProtos - Class in org.tensorflow.proto.framework
QueueSize - Class in org.tensorflow.op.io: Computes the number of elements in the given queue.
QueueSize(Operation) - Constructor for class org.tensorflow.op.io.QueueSize
queueSize(Operand<? extends TType>) - Method in class org.tensorflow.op.IoOps: Computes the number of elements in the given queue.
QueueSize.Inputs - Class in org.tensorflow.op.io

R

r() - Method in class org.tensorflow.op.linalg.Qr: Gets r.
r() - Method in class org.tensorflow.op.nn.GRUBlockCell: Gets r.
r - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The r input
R - Variable in class org.tensorflow.op.random.RandomPoisson.Inputs: The R attribute
r0() - Method in class org.tensorflow.op.core.BroadcastDynamicShape: Gets r0.
r0() - Method in class org.tensorflow.op.core.BroadcastGradientArgs: Gets r0.
r1() - Method in class org.tensorflow.op.core.BroadcastGradientArgs: Gets r1.
ragged - Variable in class org.tensorflow.op.Ops
RAGGED_TENSOR_SPEC_VALUE - Static variable in enum org.tensorflow.proto.framework.TypeSpecProto.TypeSpecClass: tf.RaggedTensorSpec
RaggedBincount - Class in org.tensorflow.op.ragged: Counts the number of occurrences of each value in an integer array.
RaggedBincount(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedBincount
raggedBincount(Operand<TInt64>, Operand<T>, Operand<T>, Operand, RaggedBincount.Options...) - Method in class org.tensorflow.op.RaggedOps: Counts the number of occurrences of each value in an integer array.
RaggedBincount.Inputs<T extends TNumber,U extends TNumber> - Class in org.tensorflow.op.ragged
RaggedBincount.Options - Class in org.tensorflow.op.ragged: Optional attributes for RaggedBincount
RaggedCountSparseOutput - Class in org.tensorflow.op.ragged: Performs sparse-output bin counting for a ragged tensor input.
RaggedCountSparseOutput(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedCountSparseOutput
RaggedCountSparseOutput.Inputs - Class in org.tensorflow.op.ragged
RaggedCountSparseOutput.Options - Class in org.tensorflow.op.ragged: Optional attributes for RaggedCountSparseOutput
RaggedCross<T extends TType,U extends TNumber> - Class in org.tensorflow.op.ragged: Generates a feature cross from a list of tensors, and returns it as a RaggedTensor.
RaggedCross(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedCross
RaggedCross.Inputs - Class in org.tensorflow.op.ragged
RaggedGather<T extends TNumber,U extends TType> - Class in org.tensorflow.op.ragged: Gather ragged slices from params axis 0 according to indices.
RaggedGather(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedGather
RaggedGather.Inputs<T extends TNumber,U extends TType> - Class in org.tensorflow.op.ragged
raggedKeys - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: The raggedKeys attribute
raggedKeys(List<String>) - Method in class org.tensorflow.op.data.ParseExampleDataset.Options: Sets the raggedKeys option.
raggedKeys(String...) - Method in class org.tensorflow.op.data.ParseExampleDataset.Options: Sets the raggedKeys option.
raggedKeys(List<String>) - Static method in class org.tensorflow.op.data.ParseExampleDataset: Sets the raggedKeys option.
raggedKeys(String...) - Static method in class org.tensorflow.op.data.ParseExampleDataset: Sets the raggedKeys option.
raggedKeys - Variable in class org.tensorflow.op.io.ParseExample.Inputs: Vector of strings.
RaggedOps - Class in org.tensorflow.op: An API for building ragged operations as Ops
RaggedRange - Class in org.tensorflow.op.ragged: Returns a RaggedTensor containing the specified sequences of numbers.
RaggedRange(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedRange
RaggedRange.Inputs<T extends TNumber> - Class in org.tensorflow.op.ragged
raggedRowSplits() - Method in class org.tensorflow.op.io.ParseExample: Gets raggedRowSplits.
raggedRowSplits - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The row_splits tensor for each RaggedTensor input.
raggedSplitsTypes - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The raggedSplitsTypes attribute
raggedSplitTypes - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: The raggedSplitTypes attribute
raggedSplitTypes - Variable in class org.tensorflow.op.io.ParseExample.Inputs: A list of `num_ragged` types; the data types of row_splits in each Feature given in ragged_keys (where `num_ragged = sparse_keys.size()`).
RaggedTensorFromVariant<T extends TNumber,U extends TType> - Class in org.tensorflow.op.ragged: Decodes a variant Tensor into a RaggedTensor.
RaggedTensorFromVariant(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorFromVariant
RaggedTensorFromVariant.Inputs - Class in org.tensorflow.op.ragged
RaggedTensorToSparse - Class in org.tensorflow.op.ragged: Converts a RaggedTensor into a SparseTensor with the same values.
RaggedTensorToSparse(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorToSparse
RaggedTensorToSparse.Inputs - Class in org.tensorflow.op.ragged
RaggedTensorToTensor - Class in org.tensorflow.op.ragged: Create a dense tensor from a ragged tensor, possibly altering its shape.
RaggedTensorToTensor(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorToTensor
RaggedTensorToTensor.Inputs - Class in org.tensorflow.op.ragged
RaggedTensorToVariant - Class in org.tensorflow.op.ragged: Encodes a RaggedTensor into a variant Tensor.
RaggedTensorToVariant(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorToVariant
RaggedTensorToVariant.Inputs - Class in org.tensorflow.op.ragged
RaggedTensorToVariantGradient - Class in org.tensorflow.op.ragged: Helper used to compute the gradient for RaggedTensorToVariant.
RaggedTensorToVariantGradient(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorToVariantGradient
RaggedTensorToVariantGradient.Inputs - Class in org.tensorflow.op.ragged
raggedValues() - Method in class org.tensorflow.op.io.ParseExample: Gets raggedValues.
raggedValues - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The values tensor for each RaggedTensor input.
raggedValuesTypes - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The raggedValuesTypes attribute
raggedValueTypes - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: The raggedValueTypes attribute
raggedValueTypes - Variable in class org.tensorflow.op.io.ParseExample.Inputs: A list of `num_ragged` types; the data types of data in each Feature given in ragged_keys (where `num_ragged = sparse_keys.size()`).
RAM_BUDGET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.AutotuneOptions
RAM_BUDGET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
ramBudget - Variable in class org.tensorflow.op.data.ModelDataset.Inputs: The ramBudget attribute
ramBudget(Long) - Method in class org.tensorflow.op.data.ModelDataset.Options: Sets the ramBudget option.
ramBudget(Long) - Static method in class org.tensorflow.op.data.ModelDataset: Sets the ramBudget option.
random - Variable in class org.tensorflow.op.Ops
RandomCrop<T extends TNumber> - Class in org.tensorflow.op.image: Randomly crop image.
RandomCrop(Operation) - Constructor for class org.tensorflow.op.image.RandomCrop
randomCrop(Operand<T>, Operand<TInt64>, RandomCrop.Options...) - Method in class org.tensorflow.op.ImageOps: Randomly crop image.
RandomCrop.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
RandomCrop.Options - Class in org.tensorflow.op.image: Optional attributes for RandomCrop
RandomDataset - Class in org.tensorflow.op.data.experimental: Creates a Dataset that returns pseudorandom numbers.
RandomDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.RandomDataset
RandomDataset - Class in org.tensorflow.op.data: Creates a Dataset that returns pseudorandom numbers.
RandomDataset(Operation) - Constructor for class org.tensorflow.op.data.RandomDataset
randomDataset(Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, RandomDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a Dataset that returns pseudorandom numbers.
RandomDataset.Inputs - Class in org.tensorflow.op.data.experimental
RandomDataset.Inputs - Class in org.tensorflow.op.data
RandomDataset.Options - Class in org.tensorflow.op.data: Optional attributes for RandomDataset
RandomGamma - Class in org.tensorflow.op.random: Outputs random values from the Gamma distribution(s) described by alpha.
RandomGamma(Operation) - Constructor for class org.tensorflow.op.random.RandomGamma
randomGamma(Operand<? extends TNumber>, Operand, RandomGamma.Options...) - Method in class org.tensorflow.op.RandomOps: Outputs random values from the Gamma distribution(s) described by alpha.
RandomGamma.Inputs - Class in org.tensorflow.op.random
RandomGamma.Options - Class in org.tensorflow.op.random: Optional attributes for RandomGamma
RandomGammaGrad<T extends TNumber> - Class in org.tensorflow.op.random: Computes the derivative of a Gamma random sample w.r.t.
RandomGammaGrad(Operation) - Constructor for class org.tensorflow.op.random.RandomGammaGrad
RandomGammaGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.random
RandomOps - Class in org.tensorflow.op: An API for building random operations as Ops
RandomPoisson<V extends TNumber> - Class in org.tensorflow.op.random: Outputs random values from the Poisson distribution(s) described by rate.
RandomPoisson(Operation) - Constructor for class org.tensorflow.op.random.RandomPoisson
randomPoisson(Operand<? extends TNumber>, Operand<? extends TNumber>, RandomPoisson.Options[]) - Method in class org.tensorflow.op.RandomOps: Outputs random values from the Poisson distribution(s) described by rate.
randomPoisson(Operand<? extends TNumber>, Operand<? extends TNumber>, Class<V>, RandomPoisson.Options...) - Method in class org.tensorflow.op.RandomOps: Outputs random values from the Poisson distribution(s) described by rate.
RandomPoisson.Inputs - Class in org.tensorflow.op.random
RandomPoisson.Options - Class in org.tensorflow.op.random: Optional attributes for RandomPoisson
RandomShuffle<T extends TType> - Class in org.tensorflow.op.random: Randomly shuffles a tensor along its first dimension.
RandomShuffle(Operation) - Constructor for class org.tensorflow.op.random.RandomShuffle
randomShuffle(Operand<T>, RandomShuffle.Options...) - Method in class org.tensorflow.op.RandomOps: Randomly shuffles a tensor along its first dimension.
RandomShuffle.Inputs<T extends TType> - Class in org.tensorflow.op.random
RandomShuffle.Options - Class in org.tensorflow.op.random: Optional attributes for RandomShuffle
RandomShuffleQueue - Class in org.tensorflow.op.io: A queue that randomizes the order of elements.
RandomShuffleQueue(Operation) - Constructor for class org.tensorflow.op.io.RandomShuffleQueue
randomShuffleQueue(List<Class<? extends TType>>, RandomShuffleQueue.Options...) - Method in class org.tensorflow.op.IoOps: A queue that randomizes the order of elements.
RandomShuffleQueue.Inputs - Class in org.tensorflow.op.io
RandomShuffleQueue.Options - Class in org.tensorflow.op.io: Optional attributes for RandomShuffleQueue
RandomStandardNormal - Class in org.tensorflow.op.random: Outputs random values from a normal distribution.
RandomStandardNormal(Operation) - Constructor for class org.tensorflow.op.random.RandomStandardNormal
randomStandardNormal(Operand<? extends TNumber>, Class, RandomStandardNormal.Options...) - Method in class org.tensorflow.op.RandomOps: Outputs random values from a normal distribution.
RandomStandardNormal.Inputs - Class in org.tensorflow.op.random
RandomStandardNormal.Options - Class in org.tensorflow.op.random: Optional attributes for RandomStandardNormal
RandomUniform - Class in org.tensorflow.op.random: Outputs random values from a uniform distribution.
RandomUniform(Operation) - Constructor for class org.tensorflow.op.random.RandomUniform
randomUniform(Operand<? extends TNumber>, Class, RandomUniform.Options...) - Method in class org.tensorflow.op.RandomOps: Outputs random values from a uniform distribution.
RandomUniform.Inputs - Class in org.tensorflow.op.random
RandomUniform.Options - Class in org.tensorflow.op.random: Optional attributes for RandomUniform
RandomUniformInt - Class in org.tensorflow.op.random: Outputs random integers from a uniform distribution.
RandomUniformInt(Operation) - Constructor for class org.tensorflow.op.random.RandomUniformInt
randomUniformInt(Operand<? extends TNumber>, Operand, Operand, RandomUniformInt.Options...) - Method in class org.tensorflow.op.RandomOps: Outputs random integers from a uniform distribution.
RandomUniformInt.Inputs - Class in org.tensorflow.op.random
RandomUniformInt.Options - Class in org.tensorflow.op.random: Optional attributes for RandomUniformInt
Range<T extends TNumber> - Class in org.tensorflow.op.core: Creates a sequence of numbers.
Range(Operation) - Constructor for class org.tensorflow.op.core.Range
range(Operand<T>, Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops: Creates a sequence of numbers.
Range.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
RangeDataset - Class in org.tensorflow.op.data: Creates a dataset with a range of values.
RangeDataset(Operation) - Constructor for class org.tensorflow.op.data.RangeDataset
rangeDataset(Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, RangeDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset with a range of values.
RangeDataset.Inputs - Class in org.tensorflow.op.data
RangeDataset.Options - Class in org.tensorflow.op.data: Optional attributes for RangeDataset
rangeGiven - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs: The rangeGiven attribute
rangeGiven(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantize.Options: Sets the rangeGiven option.
rangeGiven(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantize: Sets the rangeGiven option.
rangeGiven - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs: The rangeGiven attribute
rangeGiven(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Options: Sets the rangeGiven option.
rangeGiven(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3: Sets the rangeGiven option.
rangeGiven - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: Whether the range is given or should be determined from the `input` tensor.
rangeGiven(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Options: Sets the rangeGiven option.
rangeGiven(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4: Sets the rangeGiven option.
rangeMax - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: The sampler will sample integers from the interval [0, range_max).
rangeMax - Variable in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Inputs: The sampler will sample integers from the interval [0, range_max).
rangeMax - Variable in class org.tensorflow.op.random.LogUniformCandidateSampler.Inputs: The sampler will sample integers from the interval [0, range_max).
rangeMax - Variable in class org.tensorflow.op.random.UniformCandidateSampler.Inputs: The sampler will sample integers from the interval [0, range_max).
rank - Variable in class org.tensorflow.op.collective.CollectiveInitializeCommunicator.Inputs: The rank input
Rank - Class in org.tensorflow.op.core: Returns the rank of a tensor.
Rank(Operation) - Constructor for class org.tensorflow.op.core.Rank
rank(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Returns the rank of a tensor.
Rank.Inputs - Class in org.tensorflow.op.core
rate - Variable in class org.tensorflow.op.data.SamplingDataset.Inputs: A scalar representing the sample rate.
rate - Variable in class org.tensorflow.op.random.RandomPoisson.Inputs: A tensor in which each scalar is a "rate" parameter describing the associated poisson distribution.
rates - Variable in class org.tensorflow.op.image.ExtractImagePatches.Inputs: Must be: `[1, rate_rows, rate_cols, 1]`.
rates - Variable in class org.tensorflow.op.nn.Dilation2d.Inputs: The input stride for atrous morphological dilation.
rates - Variable in class org.tensorflow.op.nn.Dilation2dBackpropFilter.Inputs: 1-D of length 4.
rates - Variable in class org.tensorflow.op.nn.Dilation2dBackpropInput.Inputs: 1-D of length 4.
ratio - Variable in class org.tensorflow.op.image.DecodeAndCropJpeg.Inputs: Downscaling ratio.
ratio(Long) - Method in class org.tensorflow.op.image.DecodeAndCropJpeg.Options: Sets the ratio option.
ratio(Long) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg: Sets the ratio option.
ratio - Variable in class org.tensorflow.op.image.DecodeJpeg.Inputs: Downscaling ratio.
ratio(Long) - Method in class org.tensorflow.op.image.DecodeJpeg.Options: Sets the ratio option.
ratio(Long) - Static method in class org.tensorflow.op.image.DecodeJpeg: Sets the ratio option.
RATIO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto.Node
ratioDenominator - Variable in class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs: The ratioDenominator input
ratioNumerator - Variable in class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs: The ratioNumerator input
raw(int) - Method in class org.tensorflow.internal.c_api.TF_TString_Raw
raw(int, byte) - Method in class org.tensorflow.internal.c_api.TF_TString_Raw
raw() - Method in class org.tensorflow.internal.c_api.TF_TString_Raw
raw() - Method in class org.tensorflow.internal.c_api.TF_TString_Union
raw(TF_TString_Raw) - Method in class org.tensorflow.internal.c_api.TF_TString_Union
RawCustomGradient - Interface in org.tensorflow.op: A custom gradient for an op of unspecified type.
RawOp - Class in org.tensorflow.op: A base class for Op implementations that are backed by a single Operation.
RawOp(Operation, String) - Constructor for class org.tensorflow.op.RawOp: Constructor.
RawOpInputs<T extends RawOp> - Class in org.tensorflow.op: A base class for operation input accessors.
RawOpInputs(T, GraphOperation, Collection<String>) - Constructor for class org.tensorflow.op.RawOpInputs
RawTensor - Class in org.tensorflow: A tensor which memory has not been mapped to a data space directly accessible from the JVM.
ReaderBaseProtos - Class in org.tensorflow.proto.framework
ReaderBaseState - Class in org.tensorflow.proto.framework: For serializing and restoring the state of ReaderBase, see reader_base.h for details.
ReaderBaseState.Builder - Class in org.tensorflow.proto.framework: For serializing and restoring the state of ReaderBase, see reader_base.h for details.
ReaderBaseStateOrBuilder - Interface in org.tensorflow.proto.framework
readerFuncOtherArgs - Variable in class org.tensorflow.op.data.LoadDataset.Inputs: The readerFuncOtherArgs input
readerFuncOtherArgs - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The readerFuncOtherArgs input
readerHandle() - Method in class org.tensorflow.op.io.FixedLengthRecordReader: Gets readerHandle.
readerHandle() - Method in class org.tensorflow.op.io.IdentityReader: Gets readerHandle.
readerHandle() - Method in class org.tensorflow.op.io.LmdbReader: Gets readerHandle.
readerHandle - Variable in class org.tensorflow.op.io.ReaderNumRecordsProduced.Inputs: Handle to a Reader.
readerHandle - Variable in class org.tensorflow.op.io.ReaderNumWorkUnitsCompleted.Inputs: Handle to a Reader.
readerHandle - Variable in class org.tensorflow.op.io.ReaderRead.Inputs: Handle to a Reader.
readerHandle - Variable in class org.tensorflow.op.io.ReaderReadUpTo.Inputs: Handle to a Reader.
readerHandle - Variable in class org.tensorflow.op.io.ReaderReset.Inputs: Handle to a Reader.
readerHandle - Variable in class org.tensorflow.op.io.ReaderRestoreState.Inputs: Handle to a Reader.
readerHandle - Variable in class org.tensorflow.op.io.ReaderSerializeState.Inputs: Handle to a Reader.
readerHandle() - Method in class org.tensorflow.op.io.TextLineReader: Gets readerHandle.
readerHandle() - Method in class org.tensorflow.op.io.TfRecordReader: Gets readerHandle.
readerHandle() - Method in class org.tensorflow.op.io.WholeFileReader: Gets readerHandle.
ReaderNumRecordsProduced - Class in org.tensorflow.op.io: Returns the number of records this Reader has produced.
ReaderNumRecordsProduced(Operation) - Constructor for class org.tensorflow.op.io.ReaderNumRecordsProduced
readerNumRecordsProduced(Operand<? extends TType>) - Method in class org.tensorflow.op.IoOps: Returns the number of records this Reader has produced.
ReaderNumRecordsProduced.Inputs - Class in org.tensorflow.op.io
ReaderNumWorkUnitsCompleted - Class in org.tensorflow.op.io: Returns the number of work units this Reader has finished processing.
ReaderNumWorkUnitsCompleted(Operation) - Constructor for class org.tensorflow.op.io.ReaderNumWorkUnitsCompleted
readerNumWorkUnitsCompleted(Operand<? extends TType>) - Method in class org.tensorflow.op.IoOps: Returns the number of work units this Reader has finished processing.
ReaderNumWorkUnitsCompleted.Inputs - Class in org.tensorflow.op.io
readerPrefix - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The readerPrefix attribute
readerPrefix(String) - Method in class org.tensorflow.op.data.SnapshotDataset.Options: Sets the readerPrefix option.
readerPrefix(String) - Static method in class org.tensorflow.op.data.SnapshotDataset: Sets the readerPrefix option.
ReaderRead - Class in org.tensorflow.op.io: Returns the next record (key, value pair) produced by a Reader.
ReaderRead(Operation) - Constructor for class org.tensorflow.op.io.ReaderRead
readerRead(Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.IoOps: Returns the next record (key, value pair) produced by a Reader.
ReaderRead.Inputs - Class in org.tensorflow.op.io
ReaderReadUpTo - Class in org.tensorflow.op.io: Returns up to num_records (key, value) pairs produced by a Reader.
ReaderReadUpTo(Operation) - Constructor for class org.tensorflow.op.io.ReaderReadUpTo
readerReadUpTo(Operand<? extends TType>, Operand<? extends TType>, Operand<TInt64>) - Method in class org.tensorflow.op.IoOps: Returns up to num_records (key, value) pairs produced by a Reader.
ReaderReadUpTo.Inputs - Class in org.tensorflow.op.io
ReaderReset - Class in org.tensorflow.op.io: Restore a Reader to its initial clean state.
ReaderReset(Operation) - Constructor for class org.tensorflow.op.io.ReaderReset
readerReset(Operand<? extends TType>) - Method in class org.tensorflow.op.IoOps: Restore a Reader to its initial clean state.
ReaderReset.Inputs - Class in org.tensorflow.op.io
ReaderRestoreState - Class in org.tensorflow.op.io: Restore a reader to a previously saved state.
ReaderRestoreState(Operation) - Constructor for class org.tensorflow.op.io.ReaderRestoreState
readerRestoreState(Operand<? extends TType>, Operand<TString>) - Method in class org.tensorflow.op.IoOps: Restore a reader to a previously saved state.
ReaderRestoreState.Inputs - Class in org.tensorflow.op.io
ReaderSerializeState - Class in org.tensorflow.op.io: Produce a string tensor that encodes the state of a Reader.
ReaderSerializeState(Operation) - Constructor for class org.tensorflow.op.io.ReaderSerializeState
readerSerializeState(Operand<? extends TType>) - Method in class org.tensorflow.op.IoOps: Produce a string tensor that encodes the state of a Reader.
ReaderSerializeState.Inputs - Class in org.tensorflow.op.io
ReadFile - Class in org.tensorflow.op.io: Reads and outputs the entire contents of the input filename.
ReadFile(Operation) - Constructor for class org.tensorflow.op.io.ReadFile
readFile(Operand<TString>) - Method in class org.tensorflow.op.IoOps: Reads and outputs the entire contents of the input filename.
ReadFile.Inputs - Class in org.tensorflow.op.io
ReadVariableOp<T extends TType> - Class in org.tensorflow.op.core: Reads the value of a variable.
ReadVariableOp(Operation) - Constructor for class org.tensorflow.op.core.ReadVariableOp
readVariableOp(Operand<? extends TType>, Class<T>) - Method in class org.tensorflow.op.Ops: Reads the value of a variable.
ReadVariableOp.Inputs - Class in org.tensorflow.op.core
ReadVariableSplitND<T extends TType> - Class in org.tensorflow.op.xla: Splits resource variable input tensor across all dimensions.
ReadVariableSplitND(Operation) - Constructor for class org.tensorflow.op.xla.ReadVariableSplitND
ReadVariableSplitND.Inputs - Class in org.tensorflow.op.xla
ReadVariableSplitND.Options - Class in org.tensorflow.op.xla: Optional attributes for ReadVariableSplitND
real - Variable in class org.tensorflow.op.dtypes.Complex.Inputs: The real input
Real - Class in org.tensorflow.op.math: Returns the real part of a complex number.
Real(Operation) - Constructor for class org.tensorflow.op.math.Real
real(Operand<? extends TType>) - Method in class org.tensorflow.op.MathOps: Returns the real part of a complex number.
real(Operand<? extends TType>, Class) - Method in class org.tensorflow.op.MathOps: Returns the real part of a complex number.
Real.Inputs - Class in org.tensorflow.op.math
RealDiv<T extends TType> - Class in org.tensorflow.op.math: Returns x / y element-wise for real types.
RealDiv(Operation) - Constructor for class org.tensorflow.op.math.RealDiv
realDiv(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns x / y element-wise for real types.
RealDiv.Inputs<T extends TType> - Class in org.tensorflow.op.math
RebatchDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that changes the batch size.
RebatchDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.RebatchDataset
RebatchDataset.Inputs - Class in org.tensorflow.op.data.experimental
RebatchDataset.Options - Class in org.tensorflow.op.data.experimental: Optional attributes for RebatchDataset
RebatchDatasetV2 - Class in org.tensorflow.op.data: Creates a dataset that changes the batch size.
RebatchDatasetV2(Operation) - Constructor for class org.tensorflow.op.data.RebatchDatasetV2
rebatchDatasetV2(Operand<? extends TType>, Operand<TInt64>, Operand<TBool>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Creates a dataset that changes the batch size.
RebatchDatasetV2.Inputs - Class in org.tensorflow.op.data
RECEIVED_SHUTDOWN_SIGNAL_VALUE - Static variable in enum org.tensorflow.proto.util.WorkerHealth: RECEIVED_SHUTDOWN_SIGNAL = 1;
Reciprocal<T extends TType> - Class in org.tensorflow.op.math: Computes the reciprocal of x element-wise.
Reciprocal(Operation) - Constructor for class org.tensorflow.op.math.Reciprocal
reciprocal(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes the reciprocal of x element-wise.
Reciprocal.Inputs<T extends TType> - Class in org.tensorflow.op.math
ReciprocalGrad<T extends TType> - Class in org.tensorflow.op.math: Computes the gradient for the inverse of x wrt its input.
ReciprocalGrad(Operation) - Constructor for class org.tensorflow.op.math.ReciprocalGrad
ReciprocalGrad.Inputs<T extends TType> - Class in org.tensorflow.op.math
RECOMPUTATION_HEURISTICS_VALUE - Static variable in enum org.tensorflow.proto.framework.RewriterConfig.MemOptType: Recomputation heuristics will recompute ops (such as Relu activation) during backprop instead of storing them, reducing peak memory usage.
RECORD_METRICS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto.Node
recordBytes - Variable in class org.tensorflow.op.data.FixedLengthRecordDataset.Inputs: The recordBytes input
recordBytes - Variable in class org.tensorflow.op.io.FixedLengthRecordReader.Inputs: Number of bytes in the record.
recordDefaults - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The recordDefaults input
recordDefaults - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The recordDefaults input
recordDefaults - Variable in class org.tensorflow.op.io.DecodeCsv.Inputs: One tensor per column of the input record, with either a scalar default value for that column or an empty vector if the column is required.
RecordInput - Class in org.tensorflow.op.random: Emits randomized records.
RecordInput(Operation) - Constructor for class org.tensorflow.op.random.RecordInput
recordInput(String, RecordInput.Options...) - Method in class org.tensorflow.op.RandomOps: Emits randomized records.
RecordInput.Inputs - Class in org.tensorflow.op.random
RecordInput.Options - Class in org.tensorflow.op.random: Optional attributes for RecordInput
records - Variable in class org.tensorflow.op.io.DecodeCsv.Inputs: Each string is a record/row in the csv and all records should have the same format.
records() - Method in class org.tensorflow.op.random.RecordInput: Gets records.
recordsProduced() - Method in class org.tensorflow.op.io.ReaderNumRecordsProduced: Gets recordsProduced.
Recv<T extends TType> - Class in org.tensorflow.op.core: Receives the named tensor from send_device on recv_device.
Recv(Operation) - Constructor for class org.tensorflow.op.core.Recv
Recv<T extends TType> - Class in org.tensorflow.op.xla: Receives the named tensor from another XLA computation.
Recv(Operation) - Constructor for class org.tensorflow.op.xla.Recv
recv(Class<T>, String, Shape) - Method in class org.tensorflow.op.XlaOps: Receives the named tensor from another XLA computation.
Recv.Inputs - Class in org.tensorflow.op.core
Recv.Inputs - Class in org.tensorflow.op.xla
Recv.Options - Class in org.tensorflow.op.core: Optional attributes for Recv
RECV_BUF_MAX_CHUNK_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto.Experimental
recvDevice - Variable in class org.tensorflow.op.core.Recv.Inputs: The name of the device receiving the tensor.
recvDevice - Variable in class org.tensorflow.op.core.Send.Inputs: The name of the device receiving the tensor.
recvKey - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: The recvKey attribute
recvKey(String) - Method in class org.tensorflow.op.xla.XlaHostCompute.Options: Sets the recvKey option.
recvKey(String) - Static method in class org.tensorflow.op.xla.XlaHostCompute: Sets the recvKey option.
RecvTPUEmbeddingActivations - Class in org.tensorflow.op.tpu: An op that receives embedding activations on the TPU.
RecvTPUEmbeddingActivations(Operation) - Constructor for class org.tensorflow.op.tpu.RecvTPUEmbeddingActivations
RecvTPUEmbeddingActivations.Inputs - Class in org.tensorflow.op.tpu
Reduce<T extends TType> - Class in org.tensorflow.op.xla: Wraps the XLA Reduce operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#reduce .
Reduce(Operation) - Constructor for class org.tensorflow.op.xla.Reduce
reduce(Operand<T>, Operand<T>, List<Long>, ConcreteFunction) - Method in class org.tensorflow.op.XlaOps: Wraps the XLA Reduce operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#reduce .
Reduce.Inputs<T extends TType> - Class in org.tensorflow.op.xla
REDUCE_INF_NAN_THREE_SLOTS_VALUE - Static variable in enum org.tensorflow.proto.util.TensorDebugMode: Reduce the elements of a tensor to a rank-1 tensor of shape [3], in which - the 1st element is -inf if any element of the tensor is -inf, or zero otherwise.
ReduceAll - Class in org.tensorflow.op.core: Computes the "logical and" of elements across dimensions of a tensor.
ReduceAll(Operation) - Constructor for class org.tensorflow.op.core.ReduceAll
reduceAll(Operand<TBool>, Operand<? extends TNumber>, ReduceAll.Options...) - Method in class org.tensorflow.op.Ops: Computes the "logical and" of elements across dimensions of a tensor.
ReduceAll.Inputs - Class in org.tensorflow.op.core
ReduceAll.Options - Class in org.tensorflow.op.core: Optional attributes for ReduceAll
ReduceAny - Class in org.tensorflow.op.core: Computes the "logical or" of elements across dimensions of a tensor.
ReduceAny(Operation) - Constructor for class org.tensorflow.op.core.ReduceAny
reduceAny(Operand<TBool>, Operand<? extends TNumber>, ReduceAny.Options...) - Method in class org.tensorflow.op.Ops: Computes the "logical or" of elements across dimensions of a tensor.
ReduceAny.Inputs - Class in org.tensorflow.op.core
ReduceAny.Options - Class in org.tensorflow.op.core: Optional attributes for ReduceAny
ReduceDataset - Class in org.tensorflow.op.data: Reduces the input dataset to a singleton using a reduce function.
ReduceDataset(Operation) - Constructor for class org.tensorflow.op.data.ReduceDataset
reduceDataset(Operand<? extends TType>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, ReduceDataset.Options...) - Method in class org.tensorflow.op.DataOps: Reduces the input dataset to a singleton using a reduce function.
ReduceDataset.Inputs - Class in org.tensorflow.op.data
ReduceDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ReduceDataset
reduceDims(Scope, Operand<T>, Operand<TInt32>) - Static method in class org.tensorflow.op.core.Shapes: Reshapes the operand by reducing the shape to the specified axis.
reduceDims(Scope, Operand<T>, Operand, Class) - Static method in class org.tensorflow.op.core.Shapes: Reshapes the operand by reducing the shape to the specified axis.
reduceDims(Scope, Shape<TInt32>, Operand<TInt32>) - Static method in class org.tensorflow.op.core.Shapes: Reduces the shape to the specified axis.
reduceDims(Scope, Shape, Operand, Class) - Static method in class org.tensorflow.op.core.Shapes: Reduces the shape to the specified axis.
reduceDims(Operand<T>, Operand<TInt32>) - Method in class org.tensorflow.op.ShapeOps: Reshapes the operand by reducing the shape to the specified axis.
reduceDims(Shape<TInt32>, Operand<TInt32>) - Method in class org.tensorflow.op.ShapeOps: Reduces the shape to the specified axis.
reduceDims(Operand<T>, Operand, Class) - Method in class org.tensorflow.op.ShapeOps: Reshapes the operand by reducing the shape to the specified axis.
reduceDims(Shape, Operand, Class) - Method in class org.tensorflow.op.ShapeOps: Reduces the shape to the specified axis.
reduceFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: A list of tensors, typically values that were captured when building a closure for reduce_func.
reduceFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs: The reduceFuncOtherArguments input
reduceFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: A list of tensors, typically values that were captured when building a closure for reduce_func.
reduceFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The reduceFuncOtherArguments input
ReduceJoin - Class in org.tensorflow.op.strings: Joins a string Tensor across the given dimensions.
ReduceJoin(Operation) - Constructor for class org.tensorflow.op.strings.ReduceJoin
reduceJoin(Operand<TString>, Operand<TInt32>, ReduceJoin.Options...) - Method in class org.tensorflow.op.StringsOps: Joins a string Tensor across the given dimensions.
ReduceJoin.Inputs - Class in org.tensorflow.op.strings
ReduceJoin.Options - Class in org.tensorflow.op.strings: Optional attributes for ReduceJoin
ReduceMax<T extends TNumber> - Class in org.tensorflow.op.core: Computes the maximum of elements across dimensions of a tensor.
ReduceMax(Operation) - Constructor for class org.tensorflow.op.core.ReduceMax
reduceMax(Operand<T>, Operand<? extends TNumber>, ReduceMax.Options...) - Method in class org.tensorflow.op.Ops: Computes the maximum of elements across dimensions of a tensor.
ReduceMax.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
ReduceMax.Options - Class in org.tensorflow.op.core: Optional attributes for ReduceMax
ReduceMin<T extends TNumber> - Class in org.tensorflow.op.core: Computes the minimum of elements across dimensions of a tensor.
ReduceMin(Operation) - Constructor for class org.tensorflow.op.core.ReduceMin
reduceMin(Operand<T>, Operand<? extends TNumber>, ReduceMin.Options...) - Method in class org.tensorflow.op.Ops: Computes the minimum of elements across dimensions of a tensor.
ReduceMin.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
ReduceMin.Options - Class in org.tensorflow.op.core: Optional attributes for ReduceMin
reduceOp - Variable in class org.tensorflow.op.xla.AllReduce.Inputs: Reduction computation.
reduceOp - Variable in class org.tensorflow.op.xla.ReduceScatter.Inputs: Reduction computation.
ReduceProd<T extends TType> - Class in org.tensorflow.op.core: Computes the product of elements across dimensions of a tensor.
ReduceProd(Operation) - Constructor for class org.tensorflow.op.core.ReduceProd
reduceProd(Operand<T>, Operand<? extends TNumber>, ReduceProd.Options...) - Method in class org.tensorflow.op.Ops: Computes the product of elements across dimensions of a tensor.
ReduceProd.Inputs<T extends TType> - Class in org.tensorflow.op.core
ReduceProd.Options - Class in org.tensorflow.op.core: Optional attributes for ReduceProd
ReduceScatter<T extends TNumber> - Class in org.tensorflow.op.xla: Wraps the XLA ReduceScatter operator documented at https://www.tensorflow.org/xla/operation_semantics#reducescatter.
ReduceScatter(Operation) - Constructor for class org.tensorflow.op.xla.ReduceScatter
reduceScatter(Operand<T>, Operand<TInt32>, Operand<TInt32>, String) - Method in class org.tensorflow.op.XlaOps: Wraps the XLA ReduceScatter operator documented at https://www.tensorflow.org/xla/operation_semantics#reducescatter.
ReduceScatter.Inputs<T extends TNumber> - Class in org.tensorflow.op.xla
ReduceSum<T extends TType> - Class in org.tensorflow.op.core: Computes the sum of elements across dimensions of a tensor.
ReduceSum(Operation) - Constructor for class org.tensorflow.op.core.ReduceSum
reduceSum(Operand<T>, Operand<? extends TNumber>, ReduceSum.Options...) - Method in class org.tensorflow.op.Ops: Computes the sum of elements across dimensions of a tensor.
ReduceSum.Inputs<T extends TType> - Class in org.tensorflow.op.core
ReduceSum.Options - Class in org.tensorflow.op.core: Optional attributes for ReduceSum
reduceType - Variable in class org.tensorflow.op.risc.RiscReduce.Inputs: The reduceType attribute
ReduceWindow<T extends TType> - Class in org.tensorflow.op.xla: Wraps the XLA ReduceWindow operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#reducewindow .
ReduceWindow(Operation) - Constructor for class org.tensorflow.op.xla.ReduceWindow
reduceWindow(Operand<T>, Operand<T>, Operand, Operand, Operand, Operand, Operand, ConcreteFunction) - Method in class org.tensorflow.op.XlaOps: Wraps the XLA ReduceWindow operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#reducewindow .
ReduceWindow.Inputs<T extends TType,U extends TNumber> - Class in org.tensorflow.op.xla
reduction - Variable in class org.tensorflow.op.collective.CollectiveReduce.Inputs: The reduction attribute
reduction - Variable in class org.tensorflow.op.core.NcclAllReduce.Inputs: Deprecated.

The reduction attribute
reduction - Variable in class org.tensorflow.op.core.NcclReduce.Inputs: Deprecated.

The reduction attribute
reduction - Variable in class org.tensorflow.op.distribute.NcclAllReduce.Inputs: The reduction attribute
reduction - Variable in class org.tensorflow.op.distribute.NcclReduce.Inputs: The reduction attribute
reductionAxes - Variable in class org.tensorflow.op.sparse.SparseReduceMax.Inputs: 1-D.
reductionAxes - Variable in class org.tensorflow.op.sparse.SparseReduceMaxSparse.Inputs: 1-D.
reductionAxes - Variable in class org.tensorflow.op.sparse.SparseReduceSum.Inputs: 1-D.
reductionAxes - Variable in class org.tensorflow.op.sparse.SparseReduceSumSparse.Inputs: 1-D.
reductionIndices - Variable in class org.tensorflow.op.strings.ReduceJoin.Inputs: The dimensions to reduce over.
reductionType - Variable in class org.tensorflow.op.sparse.SparseConditionalAccumulator.Inputs: The reductionType attribute
reductionType(String) - Method in class org.tensorflow.op.sparse.SparseConditionalAccumulator.Options: Sets the reductionType option.
reductionType(String) - Static method in class org.tensorflow.op.sparse.SparseConditionalAccumulator: Sets the reductionType option.
reductionType - Variable in class org.tensorflow.op.train.ConditionalAccumulator.Inputs: The reductionType attribute
reductionType(String) - Method in class org.tensorflow.op.train.ConditionalAccumulator.Options: Sets the reductionType option.
reductionType(String) - Static method in class org.tensorflow.op.train.ConditionalAccumulator: Sets the reductionType option.
reductionType - Variable in class org.tensorflow.op.train.ResourceConditionalAccumulator.Inputs: The reductionType attribute
reductionType(String) - Method in class org.tensorflow.op.train.ResourceConditionalAccumulator.Options: Sets the reductionType option.
reductionType(String) - Static method in class org.tensorflow.op.train.ResourceConditionalAccumulator: Sets the reductionType option.
ref - Variable in class org.tensorflow.op.core.Assign.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.AssignAdd.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.AssignSub.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.CountUpTo.Inputs: Should be from a scalar Variable node.
ref - Variable in class org.tensorflow.op.core.DestroyTemporaryVariable.Inputs: A reference to the temporary variable tensor.
ref - Variable in class org.tensorflow.op.core.IsVariableInitialized.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.ResourceScatterNdAdd.Inputs: A resource handle.
ref - Variable in class org.tensorflow.op.core.ResourceScatterNdMax.Inputs: A resource handle.
ref - Variable in class org.tensorflow.op.core.ResourceScatterNdMin.Inputs: A resource handle.
ref - Variable in class org.tensorflow.op.core.ResourceScatterNdSub.Inputs: A resource handle.
ref - Variable in class org.tensorflow.op.core.ResourceScatterNdUpdate.Inputs: A resource handle.
ref - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The ref input
ref - Variable in class org.tensorflow.op.core.ScatterAdd.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.ScatterDiv.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.ScatterMax.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.ScatterMin.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.ScatterMul.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.ScatterNdAdd.Inputs: A mutable Tensor.
ref - Variable in class org.tensorflow.op.core.ScatterNdMax.Inputs: A mutable Tensor.
ref - Variable in class org.tensorflow.op.core.ScatterNdMin.Inputs: A mutable Tensor.
ref - Variable in class org.tensorflow.op.core.ScatterNdSub.Inputs: A mutable Tensor.
ref - Variable in class org.tensorflow.op.core.ScatterNdUpdate.Inputs: A mutable Tensor.
ref - Variable in class org.tensorflow.op.core.ScatterSub.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.ScatterUpdate.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The ref input
ref() - Method in class org.tensorflow.op.core.TemporaryVariable: Gets ref.
ref() - Method in class org.tensorflow.op.core.Variable: Gets ref.
REF_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XStat
RefEnter<T extends TType> - Class in org.tensorflow.op.core: Creates or finds a child frame, and makes data available to the child frame.
RefEnter(Operation) - Constructor for class org.tensorflow.op.core.RefEnter
RefEnter.Inputs<T extends TType> - Class in org.tensorflow.op.core
RefEnter.Options - Class in org.tensorflow.op.core: Optional attributes for RefEnter
REFERENCED_TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NodeExecStats
RefExit<T extends TType> - Class in org.tensorflow.op.core: Exits the current frame to its parent frame.
RefExit(Operation) - Constructor for class org.tensorflow.op.core.RefExit
RefExit.Inputs<T extends TType> - Class in org.tensorflow.op.core
RefIdentity<T extends TType> - Class in org.tensorflow.op.core: Return the same ref tensor as the input ref tensor.
RefIdentity(Operation) - Constructor for class org.tensorflow.op.core.RefIdentity
RefIdentity.Inputs<T extends TType> - Class in org.tensorflow.op.core
RefMerge<T extends TType> - Class in org.tensorflow.op.core: Forwards the value of an available tensor from inputs to output.
RefMerge(Operation) - Constructor for class org.tensorflow.op.core.RefMerge
RefMerge.Inputs<T extends TType> - Class in org.tensorflow.op.core
RefNextIteration<T extends TType> - Class in org.tensorflow.op.core: Makes its input available to the next iteration.
RefNextIteration(Operation) - Constructor for class org.tensorflow.op.core.RefNextIteration
refNextIteration(Operand<T>) - Method in class org.tensorflow.op.Ops: Makes its input available to the next iteration.
RefNextIteration.Inputs<T extends TType> - Class in org.tensorflow.op.core
refreshNames() - Method in class org.tensorflow.op.GradientScope
refreshNames() - Method in class org.tensorflow.op.OpScope
refreshNames() - Method in interface org.tensorflow.op.Scope: Refresh the used name list (used for uniquifying names) from the underlying graph.
RefSelect<T extends TType> - Class in org.tensorflow.op.core: Forwards the indexth element of inputs to output.
RefSelect(Operation) - Constructor for class org.tensorflow.op.core.RefSelect
refSelect(Operand<TInt32>, Iterable<Operand<T>>) - Method in class org.tensorflow.op.Ops: Forwards the indexth element of inputs to output.
RefSelect.Inputs<T extends TType> - Class in org.tensorflow.op.core
RefSwitch<T extends TType> - Class in org.tensorflow.op.core: Forwards the ref tensor data to the output port determined by pred.
RefSwitch(Operation) - Constructor for class org.tensorflow.op.core.RefSwitch
refSwitch(Operand<T>, Operand<TBool>) - Method in class org.tensorflow.op.Ops: Forwards the ref tensor data to the output port determined by pred.
RefSwitch.Inputs<T extends TType> - Class in org.tensorflow.op.core
RegexFullMatch - Class in org.tensorflow.op.strings: Check if the input matches the regex pattern.
RegexFullMatch(Operation) - Constructor for class org.tensorflow.op.strings.RegexFullMatch
regexFullMatch(Operand<TString>, Operand<TString>) - Method in class org.tensorflow.op.StringsOps: Check if the input matches the regex pattern.
RegexFullMatch.Inputs - Class in org.tensorflow.op.strings
RegexReplace - Class in org.tensorflow.op.strings: Replaces matches of the pattern regular expression in input with the replacement string provided in rewrite.
RegexReplace(Operation) - Constructor for class org.tensorflow.op.strings.RegexReplace
regexReplace(Operand<TString>, Operand<TString>, Operand<TString>, RegexReplace.Options...) - Method in class org.tensorflow.op.StringsOps: Replaces matches of the pattern regular expression in input with the replacement string provided in rewrite.
RegexReplace.Inputs - Class in org.tensorflow.op.strings
RegexReplace.Options - Class in org.tensorflow.op.strings: Optional attributes for RegexReplace
Register(BytePointer, GradFunc) - Method in class org.tensorflow.internal.c_api.GradOpRegistry: Registers 'func' as the gradient function for 'op'.
Register(String, GradFunc) - Method in class org.tensorflow.internal.c_api.GradOpRegistry
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.data.DataService
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetMetadata
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.data.DatasetMetadata
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptionsProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.data.DatasetOptionsProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.SnapshotProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.data.experimental.SnapshotProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.ModelProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.data.model.ModelProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.ClusterProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.distruntime.ClusterProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.DeviceFiltersProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.distruntime.DeviceFiltersProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.ServerProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.distruntime.ServerProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distruntime.TransportOptions
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.distruntime.TransportOptions
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.ExampleParserConfigurationProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.example.ExampleParserConfigurationProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.ExampleProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.example.ExampleProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.example.FeatureProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.example.FeatureProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AllocationDescriptionProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.AllocationDescriptionProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ApiDefProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.ApiDefProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.AttrValueProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.AttrValueProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CompositeTensorVariant
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.CompositeTensorVariant
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ConfigProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.ConfigProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ControlFlowProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.ControlFlowProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.CostGraphProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.CostGraphProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DebugProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.DebugProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DeviceAttributesProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.DeviceAttributesProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.DevicePropertiesProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.DevicePropertiesProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ErrorCodes
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.ErrorCodes
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ErrorCodesProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.ErrorCodesProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FullTypeProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.FullTypeProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.FunctionProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.FunctionProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphDebugInfoProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.GraphDebugInfoProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.GraphProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.GraphTransferInfoProto
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.GraphTransferInfoProto
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.KernelDefProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.KernelDefProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.LogMemoryProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.LogMemoryProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.MetaGraphProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.MetaGraphProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NamedTensorProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.NamedTensorProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.NodeProto
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.NodeProto
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpDefProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.OpDefProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.OpPerformanceDataProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.OpPerformanceDataProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.QueueRunnerProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.QueueRunnerProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ReaderBaseProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.ReaderBaseProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RemoteTensorHandleProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.RemoteTensorHandleProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.ResourceHandle
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.ResourceHandle
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.RewriterConfigProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.RewriterConfigProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedModelProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.SavedModelProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SavedObjectGraphProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.SavedObjectGraphProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.Status
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.Status
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.StepStatsProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.StepStatsProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.StructProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.StructProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.SummaryProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.SummaryProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorDescriptionProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.TensorDescriptionProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.TensorProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorShapeProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.TensorShapeProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TensorSliceProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.TensorSliceProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraphProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.TrackableObjectGraphProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.TypesProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.TypesProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.VariableProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.VariableProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.VerifierConfigProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.VerifierConfigProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.framework.VersionsProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.framework.VersionsProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.ProfilerOptionsProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.profiler.ProfilerOptionsProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.XPlaneProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.profiler.XPlaneProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.BfcMemoryMapProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.util.BfcMemoryMapProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.DebugEventProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.util.DebugEventProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.EventProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.util.EventProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.MemmappedFileSystemProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.util.MemmappedFileSystemProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SavedTensorSliceProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.util.SavedTensorSliceProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.SaverProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.util.SaverProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.TensorBundleProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.util.TensorBundleProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.util.testlog.TestLogProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.util.testlog.TestLogProtos
registerCustomGradient(String, RawCustomGradient) - Static method in class org.tensorflow.TensorFlow: Register a custom gradient function for ops of opType type.
registerCustomGradient(Class<T>, CustomGradient<T>) - Static method in class org.tensorflow.TensorFlow: Register a custom gradient function for ops of inputClass's op type.
RegisterDataset - Class in org.tensorflow.op.data: Registers a dataset with the tf.data service.
RegisterDataset(Operation) - Constructor for class org.tensorflow.op.data.RegisterDataset
registerDataset(Operand<? extends TType>, Operand<TString>, Operand<TString>, Long, RegisterDataset.Options...) - Method in class org.tensorflow.op.DataOps: Registers a dataset with the tf.data service.
RegisterDataset.Inputs - Class in org.tensorflow.op.data
RegisterDataset.Options - Class in org.tensorflow.op.data: Optional attributes for RegisterDataset
REGISTERED_GRADIENTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.FunctionDefLibrary
REGISTERED_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedObject
REGISTERED_OP_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RegisteredGradient
REGISTERED_TYPE_SPEC_VALUE - Static variable in enum org.tensorflow.proto.framework.TypeSpecProto.TypeSpecClass: The type registered as type_spec_class_name.
RegisteredGradient - Class in org.tensorflow.proto.framework: RegisteredGradient stores a gradient function that is registered in the gradients library and used in the ops of a function in the function library.
RegisteredGradient.Builder - Class in org.tensorflow.proto.framework: RegisteredGradient stores a gradient function that is registered in the gradients library and used in the ops of a function in the function library.
RegisteredGradientOrBuilder - Interface in org.tensorflow.proto.framework
registeredOpList() - Static method in class org.tensorflow.TensorFlow: All the TensorFlow operations available in this address space.
registerFilesystemPlugin(String) - Static method in class org.tensorflow.TensorFlow: Loads the filesystem plugin from filename and registers all the filesystems it supports.
registerInitOp(Operation) - Method in class org.tensorflow.EagerSession: Noop, initialization is meaningless for eager sessions
registerInitOp(Operation) - Method in interface org.tensorflow.ExecutionEnvironment: Register an op and all of its inputs (and control inputs) as an initialization op.
registerInitOp(Operation) - Method in class org.tensorflow.Graph
RELEASE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.PlatformInfo
Relu<T extends TNumber> - Class in org.tensorflow.op.nn: Computes rectified linear: max(features, 0).
Relu(Operation) - Constructor for class org.tensorflow.op.nn.Relu
relu(Operand<T>) - Method in class org.tensorflow.op.NnOps: Computes rectified linear: max(features, 0).
Relu.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
Relu6<T extends TNumber> - Class in org.tensorflow.op.nn: Computes rectified linear 6: min(max(features, 0), 6).
Relu6(Operation) - Constructor for class org.tensorflow.op.nn.Relu6
relu6(Operand<T>) - Method in class org.tensorflow.op.NnOps: Computes rectified linear 6: min(max(features, 0), 6).
Relu6.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
Relu6Grad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes rectified linear 6 gradients for a Relu6 operation.
Relu6Grad(Operation) - Constructor for class org.tensorflow.op.nn.Relu6Grad
Relu6Grad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
ReluGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes rectified linear gradients for a Relu operation.
ReluGrad(Operation) - Constructor for class org.tensorflow.op.nn.ReluGrad
ReluGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
remapping() - Method in class org.tensorflow.op.train.GenerateVocabRemapping: Gets remapping.
REMAPPING_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
RemoteCall - Class in org.tensorflow.op.core: Runs function f on a remote device indicated by target.
RemoteCall(Operation) - Constructor for class org.tensorflow.op.core.RemoteCall
remoteCall(Operand<TString>, Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction) - Method in class org.tensorflow.op.Ops: Runs function f on a remote device indicated by target.
RemoteCall.Inputs - Class in org.tensorflow.op.core
RemoteProfilerSessionManagerOptions - Class in org.tensorflow.proto.profiler: Options for remote profiler session manager.
RemoteProfilerSessionManagerOptions.Builder - Class in org.tensorflow.proto.profiler: Options for remote profiler session manager.
RemoteProfilerSessionManagerOptionsOrBuilder - Interface in org.tensorflow.proto.profiler
RemoteTensorHandle - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.eager.RemoteTensorHandle
RemoteTensorHandle.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.eager.RemoteTensorHandle
RemoteTensorHandleOrBuilder - Interface in org.tensorflow.proto.framework
RemoteTensorHandleProtos - Class in org.tensorflow.proto.framework
removeAllocationRecords(int) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
removeArgAttr(int) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
removeArgs(int) - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
removeAssetFileDef(int) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
removeAttr(int) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
removeAttr(String) - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder: map<string, .tensorflow.AttrValue> attr = 1;
removeAttr(String) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: Attributes specific to this function definition.
removeAttr(String) - Method in class org.tensorflow.proto.framework.NameAttrList.Builder: map<string, .tensorflow.AttrValue> attr = 2;
removeAttr(String) - Method in class org.tensorflow.proto.framework.NodeDef.Builder: Operation-specific graph-construction-time configuration.
removeAttr(int) - Method in class org.tensorflow.proto.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
removeAttr(String) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Custom parameters impacting the behavior of the op.
removeAttributes(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
removeAvailableDeviceInfo(int) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Devices accessible to the test (e.g.
removeBinSummary(int) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
removeCacheSize(String) - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder: Cache sizes (in bytes), e.g.
removeChildren(int) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
removeChildren(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
removeChunk(int) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
removeCollectionDef(String) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: collection_def: Map from collection name to collections.
removeComponents(int) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
removeConcreteFunctions(String) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder: Information about captures and output structures in concrete functions.
removeConstNodeInfo(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
removeConstraint(int) - Method in class org.tensorflow.proto.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
removeControlRet(String) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
removeCost(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
removeCustomOptimizers(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
removeDebugTensorWatchOpts(int) - Method in class org.tensorflow.proto.framework.DebugOptions.Builder: Debugging options
removeDeviceCount(String) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
removeDeviceInfo(int) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
removeDevStats(int) - Method in class org.tensorflow.proto.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
removeDim(int) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
removeDtypesAndShapes(int) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
RemoveDynamicDimensionSize<T extends TType> - Class in org.tensorflow.op.xla: Inverse of XlaSetDynamicDimensionSize.
RemoveDynamicDimensionSize(Operation) - Constructor for class org.tensorflow.op.xla.RemoveDynamicDimensionSize
removeDynamicDimensionSize(Operand<T>, Operand<TInt32>) - Method in class org.tensorflow.op.XlaOps: Inverse of XlaSetDynamicDimensionSize.
RemoveDynamicDimensionSize.Inputs<T extends TType> - Class in org.tensorflow.op.xla
removeElement(int) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
removeEndpoint(int) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
removeEntry(int) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
removeEnvironment(String) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Version of the tools and libraries used with this device (e.g.
removeEnvVars(String) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder: Environment variables used to run the test/benchmark.
removeEventMetadata(long) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XEventMetadata map, each entry uses the XEventMetadata.id as key.
removeEvents(int) - Method in class org.tensorflow.proto.profiler.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
removeExperimentalDistributedVariableComponents(int) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: List of component variables for a distributed variable.
removeExtent(int) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
removeExternalValues(String) - Method in class org.tensorflow.proto.framework.ValuesDef.Builder: Value names referenced by but external to this context.
removeExtras(String) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Generic map from result key to value.
removeFeature(int) - Method in class org.tensorflow.proto.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
removeFeature(String) - Method in class org.tensorflow.proto.example.Features.Builder: Map from feature name to feature.
removeFeatureList(String) - Method in class org.tensorflow.proto.example.FeatureLists.Builder: Map from feature name to feature list.
removeFeatureMap(String) - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
removeFeedDevices(String) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
removeFetchDevices(String) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: map<string, string> fetch_devices = 7;
removeFields(String) - Method in class org.tensorflow.proto.framework.DictValue.Builder: map<string, .tensorflow.StructuredValue> fields = 1;
removeFileLineCols(int) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder: Each line in the stack trace.
removeFunc(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(attr)"
removeFunction(int) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
removeFunctionAliases(String) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: FunctionDef name to aliases mapping.
removeFunctionGraphs(int) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
removeGradient(int) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
removeGraphInputNodeInfo(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph
removeGraphOutputNodeInfo(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
removeHandleData(int) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: The handle data for resource inputs.
removeInArg(int) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
removeInputArg(int) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the input(s).
removeInputInfo(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
removeInputs(int) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
removeInputs(String) - Method in class org.tensorflow.proto.framework.SignatureDef.Builder: Named input parameters.
removeJob(int) - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
removeJobs(int) - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
removeKernel(int) - Method in class org.tensorflow.proto.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
removeLines(int) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: Parallel timelines grouped in this plane.
removeLink(int) - Method in class org.tensorflow.proto.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
removeMemory(int) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
removeMetaGraphs(int) - Method in class org.tensorflow.proto.framework.SavedModel.Builder: One or more MetaGraphs.
removeMetrics(int) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Metric name, value and expected range.
removeNestedContexts(int) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Contexts contained inside this context (e.g.
removeNestedContexts(int) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g.
removeNode(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
removeNode(int) - Method in class org.tensorflow.proto.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
removeNodeDef(int) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
removeNodeInfo(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
removeNodeInput(int) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
removeNodeInputInfo(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
removeNodeOutputInfo(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
removeNodes(long) - Method in class org.tensorflow.proto.data.model.ModelProto.Builder: Map of node IDs to nodes of this model.
removeNodes(int) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
removeNodes(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
removeNodeStats(int) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
removeOp(int) - Method in class org.tensorflow.proto.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
removeOp(int) - Method in class org.tensorflow.proto.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
removeOpPerformance(int) - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
removeOutArg(int) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
removeOutput(int) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
removeOutputArg(int) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the output(s).
removeOutputInfo(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
removeOutputs(int) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Optional description of the op outputs
removeOutputs(String) - Method in class org.tensorflow.proto.framework.SignatureDef.Builder: Named output parameters.
removeParameterMap(String) - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder: map<string, .tensorflow.AttrValue> parameter_map = 2;
removeParameters(int) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Parameters of this node.
removePartitionGraphs(int) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
removePartitionGraphs(int) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
removePlanes(int) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
removeReferencedTensor(int) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
removeRegisteredGradients(int) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
removeResourceArgUniqueId(int) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: Unique IDs for each resource argument, used to track aliasing resources.
removeResourceDtypesAndShapes(int) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
removeResourceHandleVal(int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_RESOURCE
removeRet(String) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
removeSaveableObjects(String) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: map<string, .tensorflow.SaveableObject> saveable_objects = 11;
removeSessionInterOpThreadPool(int) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
removeShape(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(shape)"
removeSignatureDef(String) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
removeSlice(int) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
removeSlices(int) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
removeSlotVariables(int) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Slot variables owned by this object.
removeSlotVariables(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
removeSnapShot(int) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
removeSourceFiles(int) - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder: A collection of source code files.
removeStatMetadata(long) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XStatMetadata map, each entry uses the XStatMetadata.id as key.
removeStats(int) - Method in class org.tensorflow.proto.profiler.XEvent.Builder: XStats associated with the event.
removeStats(int) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
removeStats(int) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XStats associated with this plane, e.g.
removeTasks(int) - Method in class org.tensorflow.proto.distruntime.JobDef.Builder: Mapping from task ID to "hostname:port" string.
removeTasks(int) - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder: Mapping from task ID to task device filters.
removeTensor(int) - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
removeTensor(int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(tensor)"
removeTensor(int) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
removeTensorConnection(int) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Tensors to be connected in the callable.
removeTensorMetadata(int) - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
removeTensorProtos(int) - Method in class org.tensorflow.proto.util.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
removeTensors(int) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
removeThreadNames(int) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: Its key is thread id.
removeTraces(String) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder: This maps a node name to a stack trace in the source code.
removeValue(int) - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
removeValue(int) - Method in class org.tensorflow.proto.framework.Summary.Builder: Set of values for the summary.
removeValues(int) - Method in class org.tensorflow.proto.framework.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
removeValues(int) - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
removeValues(int) - Method in class org.tensorflow.proto.framework.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
removeVariantVal(int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_VARIANT
removeVirtualDevices(int) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
removeWorkerLog(int) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
RENAME_TO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ApiDef.Arg
RENAME_TO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ApiDef.Attr
RepeatDataset - Class in org.tensorflow.op.data: Creates a dataset that emits the outputs of input_dataset count times.
RepeatDataset(Operation) - Constructor for class org.tensorflow.op.data.RepeatDataset
repeatDataset(Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, RepeatDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that emits the outputs of input_dataset count times.
RepeatDataset.Inputs - Class in org.tensorflow.op.data
RepeatDataset.Options - Class in org.tensorflow.op.data: Optional attributes for RepeatDataset
replaceControlCharacters - Variable in class org.tensorflow.op.strings.UnicodeDecode.Inputs: Whether to replace the C0 control characters (00-1F) with the `replacement_char`.
replaceControlCharacters(Boolean) - Method in class org.tensorflow.op.strings.UnicodeDecode.Options: Sets the replaceControlCharacters option.
replaceControlCharacters(Boolean) - Static method in class org.tensorflow.op.strings.UnicodeDecode: Sets the replaceControlCharacters option.
replaceControlCharacters - Variable in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Inputs: Whether to replace the C0 control characters (00-1F) with the `replacement_char`.
replaceControlCharacters(Boolean) - Method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Options: Sets the replaceControlCharacters option.
replaceControlCharacters(Boolean) - Static method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets: Sets the replaceControlCharacters option.
replaceControlCharacters - Variable in class org.tensorflow.op.strings.UnicodeTranscode.Inputs: Whether to replace the C0 control characters (00-1F) with the `replacement_char`.
replaceControlCharacters(Boolean) - Method in class org.tensorflow.op.strings.UnicodeTranscode.Options: Sets the replaceControlCharacters option.
replaceControlCharacters(Boolean) - Static method in class org.tensorflow.op.strings.UnicodeTranscode: Sets the replaceControlCharacters option.
replaceGlobal - Variable in class org.tensorflow.op.strings.RegexReplace.Inputs: If True, the replacement is global (that is, all matches of the `pattern` regular expression in each input string are rewritten), otherwise the `rewrite` substitution is only made for the first `pattern` match.
replaceGlobal(Boolean) - Method in class org.tensorflow.op.strings.RegexReplace.Options: Sets the replaceGlobal option.
replaceGlobal(Boolean) - Static method in class org.tensorflow.op.strings.RegexReplace: Sets the replaceGlobal option.
replaceGlobal - Variable in class org.tensorflow.op.strings.StaticRegexReplace.Inputs: If True, the replacement is global, otherwise the replacement is done only on the first match.
replaceGlobal(Boolean) - Method in class org.tensorflow.op.strings.StaticRegexReplace.Options: Sets the replaceGlobal option.
replaceGlobal(Boolean) - Static method in class org.tensorflow.op.strings.StaticRegexReplace: Sets the replaceGlobal option.
replacementChar - Variable in class org.tensorflow.op.strings.UnicodeDecode.Inputs: The replacement character codepoint to be used in place of any invalid formatting in the input when `errors='replace'`.
replacementChar(Long) - Method in class org.tensorflow.op.strings.UnicodeDecode.Options: Sets the replacementChar option.
replacementChar(Long) - Static method in class org.tensorflow.op.strings.UnicodeDecode: Sets the replacementChar option.
replacementChar - Variable in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Inputs: The replacement character codepoint to be used in place of any invalid formatting in the input when `errors='replace'`.
replacementChar(Long) - Method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Options: Sets the replacementChar option.
replacementChar(Long) - Static method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets: Sets the replacementChar option.
replacementChar - Variable in class org.tensorflow.op.strings.UnicodeEncode.Inputs: The replacement character codepoint to be used in place of any invalid formatting in the input when `errors='replace'`.
replacementChar(Long) - Method in class org.tensorflow.op.strings.UnicodeEncode.Options: Sets the replacementChar option.
replacementChar(Long) - Static method in class org.tensorflow.op.strings.UnicodeEncode: Sets the replacementChar option.
replacementChar - Variable in class org.tensorflow.op.strings.UnicodeTranscode.Inputs: The replacement character codepoint to be used in place of any invalid formatting in the input when `errors='replace'`.
replacementChar(Long) - Method in class org.tensorflow.op.strings.UnicodeTranscode.Options: Sets the replacementChar option.
replacementChar(Long) - Static method in class org.tensorflow.op.strings.UnicodeTranscode: Sets the replacementChar option.
replica(Integer) - Method in class org.tensorflow.DeviceSpec.Builder
replica() - Method in class org.tensorflow.DeviceSpec
ReplicaId - Class in org.tensorflow.op.xla: Replica ID.
ReplicaId(Operation) - Constructor for class org.tensorflow.op.xla.ReplicaId
replicaId() - Method in class org.tensorflow.op.XlaOps: Replica ID.
ReplicaId.Inputs - Class in org.tensorflow.op.xla
ReplicatedInput<T extends TType> - Class in org.tensorflow.op.tpu: Connects N inputs to an N-way replicated TPU computation.
ReplicatedInput(Operation) - Constructor for class org.tensorflow.op.tpu.ReplicatedInput
ReplicatedInput.Inputs<T extends TType> - Class in org.tensorflow.op.tpu
ReplicatedInput.Options - Class in org.tensorflow.op.tpu: Optional attributes for ReplicatedInput
ReplicatedOutput<T extends TType> - Class in org.tensorflow.op.tpu: Connects N outputs from an N-way replicated TPU computation.
ReplicatedOutput(Operation) - Constructor for class org.tensorflow.op.tpu.ReplicatedOutput
ReplicatedOutput.Inputs<T extends TType> - Class in org.tensorflow.op.tpu
ReplicateMetadata - Class in org.tensorflow.op.tpu: Metadata indicating how the TPU computation should be replicated.
ReplicateMetadata(Operation) - Constructor for class org.tensorflow.op.tpu.ReplicateMetadata
ReplicateMetadata.Inputs - Class in org.tensorflow.op.tpu
ReplicateMetadata.Options - Class in org.tensorflow.op.tpu: Optional attributes for ReplicateMetadata
REPORT_TENSOR_ALLOCATIONS_UPON_OOM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RunOptions
REPOSITORY_PATH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.ProfileOptions
RequantizationRange - Class in org.tensorflow.op.quantization: Computes a range that covers the actual values present in a quantized tensor.
RequantizationRange(Operation) - Constructor for class org.tensorflow.op.quantization.RequantizationRange
requantizationRange(Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>) - Method in class org.tensorflow.op.QuantizationOps: Computes a range that covers the actual values present in a quantized tensor.
RequantizationRange.Inputs - Class in org.tensorflow.op.quantization
RequantizationRangePerChannel - Class in org.tensorflow.op.math: Computes requantization range per channel.
RequantizationRangePerChannel(Operation) - Constructor for class org.tensorflow.op.math.RequantizationRangePerChannel
RequantizationRangePerChannel.Inputs - Class in org.tensorflow.op.math
Requantize - Class in org.tensorflow.op.quantization: Converts the quantized input tensor into a lower-precision output.
Requantize(Operation) - Constructor for class org.tensorflow.op.quantization.Requantize
requantize(Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class) - Method in class org.tensorflow.op.QuantizationOps: Converts the quantized input tensor into a lower-precision output.
Requantize.Inputs - Class in org.tensorflow.op.quantization
RequantizePerChannel - Class in org.tensorflow.op.math: Requantizes input with min and max values known per channel.
RequantizePerChannel(Operation) - Constructor for class org.tensorflow.op.math.RequantizePerChannel
RequantizePerChannel.Inputs - Class in org.tensorflow.op.math
request - Variable in class org.tensorflow.op.tpu.WorkerHeartbeat.Inputs: A string tensor containing a serialized WorkerHeartbeatRequest
REQUESTED_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AllocationDescription
requested_device() - Method in class org.tensorflow.internal.c_api.Node
REQUESTED_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.MemChunk
RequestedExitCode - Class in org.tensorflow.proto.util: Protobuf type tensorflow.RequestedExitCode
RequestedExitCode.Builder - Class in org.tensorflow.proto.util: Protobuf type tensorflow.RequestedExitCode
RequestedExitCodeOrBuilder - Interface in org.tensorflow.proto.util
requestedOutputMax - Variable in class org.tensorflow.op.math.RequantizePerChannel.Inputs: The maximum value of the output tensor requested.
requestedOutputMax - Variable in class org.tensorflow.op.quantization.Requantize.Inputs: The float value that the maximum quantized output value represents.
requestedOutputMin - Variable in class org.tensorflow.op.math.RequantizePerChannel.Inputs: The minimum value of the output tensor requested.
requestedOutputMin - Variable in class org.tensorflow.op.quantization.Requantize.Inputs: The float value that the minimum quantized output value represents.
requireNonEmpty - Variable in class org.tensorflow.op.data.ShardDataset.Inputs: The requireNonEmpty attribute
requireNonEmpty(Boolean) - Method in class org.tensorflow.op.data.ShardDataset.Options: Sets the requireNonEmpty option.
requireNonEmpty(Boolean) - Static method in class org.tensorflow.op.data.ShardDataset: Sets the requireNonEmpty option.
reserveSpace() - Method in class org.tensorflow.op.nn.CudnnRNN: Gets reserveSpace.
reserveSpace - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The reserveSpace input
reserveSpace1() - Method in class org.tensorflow.op.nn.FusedBatchNorm: Gets reserveSpace1.
reserveSpace1 - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: When is_training is True, a 1D Tensor for the computed batch mean to be reused in gradient computation.
reserveSpace2() - Method in class org.tensorflow.op.nn.FusedBatchNorm: Gets reserveSpace2.
reserveSpace2 - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: When is_training is True, a 1D Tensor for the computed batch variance (inverted variance in the cuDNN case) to be reused in gradient computation.
reserveSpace3() - Method in class org.tensorflow.op.nn.FusedBatchNorm: Gets reserveSpace3.
reserveSpace3 - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: When is_training is True, a 1D Tensor for some intermediate results to be reused in gradient computation.
reserveSpace4() - Method in class org.tensorflow.op.nn.FusedBatchNormGrad: Gets reserveSpace4.
reserveSpace5() - Method in class org.tensorflow.op.nn.FusedBatchNormGrad: Gets reserveSpace5.
RESET_DISK_BYTE_USAGE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DebugOptions
Reshape<T extends TType> - Class in org.tensorflow.op.core: Reshapes a tensor.
Reshape(Operation) - Constructor for class org.tensorflow.op.core.Reshape
reshape(Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.Ops: Reshapes a tensor.
Reshape.Inputs<T extends TType> - Class in org.tensorflow.op.core
reshuffle - Variable in class org.tensorflow.op.random.AnonymousSeedGenerator.Inputs: The reshuffle input
reshuffleEachIteration - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The reshuffleEachIteration attribute
reshuffleEachIteration(Boolean) - Method in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Options: Sets the reshuffleEachIteration option.
reshuffleEachIteration(Boolean) - Static method in class org.tensorflow.op.data.ShuffleAndRepeatDataset: Sets the reshuffleEachIteration option.
reshuffleEachIteration - Variable in class org.tensorflow.op.data.ShuffleDataset.Inputs: The reshuffleEachIteration attribute
reshuffleEachIteration(Boolean) - Method in class org.tensorflow.op.data.ShuffleDataset.Options: Sets the reshuffleEachIteration option.
reshuffleEachIteration(Boolean) - Static method in class org.tensorflow.op.data.ShuffleDataset: Sets the reshuffleEachIteration option.
resize(long) - Method in class org.tensorflow.internal.c_api.NativeOutputVector
resizeAlignCorners - Variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs: If true, the centers of the 4 corner pixels of the input and output tensors are aligned, preserving the values at the corner pixels.
resizeAlignCorners(Boolean) - Method in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Options: Sets the resizeAlignCorners option.
resizeAlignCorners(Boolean) - Static method in class org.tensorflow.op.nn.FusedResizeAndPadConv2d: Sets the resizeAlignCorners option.
ResizeArea - Class in org.tensorflow.op.image: Resize images to size using area interpolation.
ResizeArea(Operation) - Constructor for class org.tensorflow.op.image.ResizeArea
resizeArea(Operand<? extends TNumber>, Operand<TInt32>, ResizeArea.Options...) - Method in class org.tensorflow.op.ImageOps: Resize images to size using area interpolation.
ResizeArea.Inputs - Class in org.tensorflow.op.image
ResizeArea.Options - Class in org.tensorflow.op.image: Optional attributes for ResizeArea
ResizeBicubic - Class in org.tensorflow.op.image: Resize images to size using bicubic interpolation.
ResizeBicubic(Operation) - Constructor for class org.tensorflow.op.image.ResizeBicubic
resizeBicubic(Operand<? extends TNumber>, Operand<TInt32>, ResizeBicubic.Options...) - Method in class org.tensorflow.op.ImageOps: Resize images to size using bicubic interpolation.
ResizeBicubic.Inputs - Class in org.tensorflow.op.image
ResizeBicubic.Options - Class in org.tensorflow.op.image: Optional attributes for ResizeBicubic
ResizeBicubicGrad<T extends TNumber> - Class in org.tensorflow.op.image: Computes the gradient of bicubic interpolation.
ResizeBicubicGrad(Operation) - Constructor for class org.tensorflow.op.image.ResizeBicubicGrad
ResizeBicubicGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
ResizeBicubicGrad.Options - Class in org.tensorflow.op.image: Optional attributes for ResizeBicubicGrad
ResizeBilinear - Class in org.tensorflow.op.image: Resize images to size using bilinear interpolation.
ResizeBilinear(Operation) - Constructor for class org.tensorflow.op.image.ResizeBilinear
resizeBilinear(Operand<? extends TNumber>, Operand<TInt32>, ResizeBilinear.Options...) - Method in class org.tensorflow.op.ImageOps: Resize images to size using bilinear interpolation.
ResizeBilinear.Inputs - Class in org.tensorflow.op.image
ResizeBilinear.Options - Class in org.tensorflow.op.image: Optional attributes for ResizeBilinear
ResizeBilinearGrad<T extends TNumber> - Class in org.tensorflow.op.image: Computes the gradient of bilinear interpolation.
ResizeBilinearGrad(Operation) - Constructor for class org.tensorflow.op.image.ResizeBilinearGrad
ResizeBilinearGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
ResizeBilinearGrad.Options - Class in org.tensorflow.op.image: Optional attributes for ResizeBilinearGrad
resizedImages() - Method in class org.tensorflow.op.image.QuantizedResizeBilinear: Gets resizedImages.
resizedImages() - Method in class org.tensorflow.op.image.ResizeArea: Gets resizedImages.
resizedImages() - Method in class org.tensorflow.op.image.ResizeBicubic: Gets resizedImages.
resizedImages() - Method in class org.tensorflow.op.image.ResizeBilinear: Gets resizedImages.
resizedImages() - Method in class org.tensorflow.op.image.ResizeNearestNeighbor: Gets resizedImages.
resizedImages() - Method in class org.tensorflow.op.image.ScaleAndTranslate: Gets resizedImages.
ResizeNearestNeighbor<T extends TNumber> - Class in org.tensorflow.op.image: Resize images to size using nearest neighbor interpolation.
ResizeNearestNeighbor(Operation) - Constructor for class org.tensorflow.op.image.ResizeNearestNeighbor
resizeNearestNeighbor(Operand<T>, Operand<TInt32>, ResizeNearestNeighbor.Options...) - Method in class org.tensorflow.op.ImageOps: Resize images to size using nearest neighbor interpolation.
ResizeNearestNeighbor.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
ResizeNearestNeighbor.Options - Class in org.tensorflow.op.image: Optional attributes for ResizeNearestNeighbor
ResizeNearestNeighborGrad<T extends TNumber> - Class in org.tensorflow.op.image: Computes the gradient of nearest neighbor interpolation.
ResizeNearestNeighborGrad(Operation) - Constructor for class org.tensorflow.op.image.ResizeNearestNeighborGrad
ResizeNearestNeighborGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
ResizeNearestNeighborGrad.Options - Class in org.tensorflow.op.image: Optional attributes for ResizeNearestNeighborGrad
resource - Variable in class org.tensorflow.op.core.AssignAddVariableOp.Inputs: handle to the resource in which to store the variable.
resource - Variable in class org.tensorflow.op.core.AssignSubVariableOp.Inputs: handle to the resource in which to store the variable.
resource - Variable in class org.tensorflow.op.core.AssignVariableOp.Inputs: handle to the resource in which to store the variable.
resource - Variable in class org.tensorflow.op.core.DestroyResourceOp.Inputs: handle to the resource to delete.
resource() - Method in class org.tensorflow.op.core.Mutex: Gets resource.
resource - Variable in class org.tensorflow.op.core.ReadVariableOp.Inputs: handle to the resource in which to store the variable.
resource - Variable in class org.tensorflow.op.core.ResourceCountUpTo.Inputs: Should be from a scalar Variable node.
resource - Variable in class org.tensorflow.op.core.ResourceGather.Inputs: The resource input
resource - Variable in class org.tensorflow.op.core.ResourceGatherNd.Inputs: The resource input
resource - Variable in class org.tensorflow.op.core.ResourceScatterAdd.Inputs: Should be from a Variable node.
resource - Variable in class org.tensorflow.op.core.ResourceScatterDiv.Inputs: Should be from a Variable node.
resource - Variable in class org.tensorflow.op.core.ResourceScatterMax.Inputs: Should be from a Variable node.
resource - Variable in class org.tensorflow.op.core.ResourceScatterMin.Inputs: Should be from a Variable node.
resource - Variable in class org.tensorflow.op.core.ResourceScatterMul.Inputs: Should be from a Variable node.
resource - Variable in class org.tensorflow.op.core.ResourceScatterSub.Inputs: Should be from a Variable node.
resource - Variable in class org.tensorflow.op.core.ResourceScatterUpdate.Inputs: Should be from a Variable node.
resource() - Method in class org.tensorflow.op.core.VarHandleOp: Gets resource.
resource - Variable in class org.tensorflow.op.core.VarIsInitializedOp.Inputs: the input resource handle.
resource - Variable in class org.tensorflow.op.data.experimental.IteratorGetDevice.Inputs: The resource input
resource - Variable in class org.tensorflow.op.data.IteratorGetDevice.Inputs: The resource input
resource() - Method in class org.tensorflow.op.estimator.BoostedTreesEnsembleResourceHandleOp: Gets resource.
resource() - Method in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceHandleOp: Gets resource.
resource - Variable in class org.tensorflow.op.random.RngReadAndSkip.Inputs: The handle of the resource variable that stores the state of the RNG.
resource - Variable in class org.tensorflow.op.random.RngSkip.Inputs: The handle of the resource variable that stores the state of the RNG.
resource - Variable in class org.tensorflow.op.random.StatefulRandomBinomial.Inputs: The resource input
resource - Variable in class org.tensorflow.op.random.StatefulStandardNormal.Inputs: The handle of the resource variable that stores the state of the RNG.
resource - Variable in class org.tensorflow.op.random.StatefulTruncatedNormal.Inputs: The handle of the resource variable that stores the state of the RNG.
resource - Variable in class org.tensorflow.op.random.StatefulUniform.Inputs: The handle of the resource variable that stores the state of the RNG.
resource - Variable in class org.tensorflow.op.random.StatefulUniformFullInt.Inputs: The handle of the resource variable that stores the state of the RNG.
resource - Variable in class org.tensorflow.op.random.StatefulUniformInt.Inputs: The handle of the resource variable that stores the state of the RNG.
resource - Variable in class org.tensorflow.op.xla.AssignVariableConcatND.Inputs: Resource variable for concatenated input tensors across all dimensions.
resource - Variable in class org.tensorflow.op.xla.ReadVariableSplitND.Inputs: Resource variable of input tensor to split across all dimensions.
RESOURCE_ARG_UNIQUE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.FunctionDef
RESOURCE_DTYPES_AND_SHAPES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RemoteTensorHandle
RESOURCE_EXHAUSTED_VALUE - Static variable in enum org.tensorflow.proto.framework.Code: Some resource has been exhausted, perhaps a per-user quota, or perhaps the entire file system is out of space.
RESOURCE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedObject
RESOURCE_HANDLE_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorProto
ResourceAccumulatorApplyGradient - Class in org.tensorflow.op.train: Applies a gradient to a given accumulator.
ResourceAccumulatorApplyGradient(Operation) - Constructor for class org.tensorflow.op.train.ResourceAccumulatorApplyGradient
ResourceAccumulatorApplyGradient.Inputs - Class in org.tensorflow.op.train
ResourceAccumulatorNumAccumulated - Class in org.tensorflow.op.train: Returns the number of gradients aggregated in the given accumulators.
ResourceAccumulatorNumAccumulated(Operation) - Constructor for class org.tensorflow.op.train.ResourceAccumulatorNumAccumulated
ResourceAccumulatorNumAccumulated.Inputs - Class in org.tensorflow.op.train
ResourceAccumulatorSetGlobalStep - Class in org.tensorflow.op.train: Updates the accumulator with a new value for global_step.
ResourceAccumulatorSetGlobalStep(Operation) - Constructor for class org.tensorflow.op.train.ResourceAccumulatorSetGlobalStep
ResourceAccumulatorSetGlobalStep.Inputs - Class in org.tensorflow.op.train
ResourceAccumulatorTakeGradient<T extends TType> - Class in org.tensorflow.op.train: Extracts the average gradient in the given ConditionalAccumulator.
ResourceAccumulatorTakeGradient(Operation) - Constructor for class org.tensorflow.op.train.ResourceAccumulatorTakeGradient
ResourceAccumulatorTakeGradient.Inputs - Class in org.tensorflow.op.train
ResourceApplyAdadelta - Class in org.tensorflow.op.train: Update '*var' according to the adadelta scheme.
ResourceApplyAdadelta(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdadelta
resourceApplyAdadelta(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdadelta.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the adadelta scheme.
ResourceApplyAdadelta.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyAdadelta.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyAdadelta
ResourceApplyAdagrad - Class in org.tensorflow.op.train: Update '*var' according to the adagrad scheme.
ResourceApplyAdagrad(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdagrad
ResourceApplyAdagrad.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyAdagrad.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyAdagrad
ResourceApplyAdagradDa - Class in org.tensorflow.op.train: Update '*var' according to the proximal adagrad scheme.
ResourceApplyAdagradDa(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdagradDa
resourceApplyAdagradDa(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<TInt64>, ResourceApplyAdagradDa.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the proximal adagrad scheme.
ResourceApplyAdagradDa.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyAdagradDa.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyAdagradDa
ResourceApplyAdam - Class in org.tensorflow.op.train: Update '*var' according to the Adam algorithm.
ResourceApplyAdam(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdam
resourceApplyAdam(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdam.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the Adam algorithm.
ResourceApplyAdam.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyAdam.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyAdam
ResourceApplyAdaMax - Class in org.tensorflow.op.train: Update '*var' according to the AdaMax algorithm.
ResourceApplyAdaMax(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdaMax
ResourceApplyAdaMax.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyAdaMax.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyAdaMax
ResourceApplyAdamWithAmsgrad - Class in org.tensorflow.op.train: Update '*var' according to the Adam algorithm.
ResourceApplyAdamWithAmsgrad(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad
resourceApplyAdamWithAmsgrad(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdamWithAmsgrad.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the Adam algorithm.
ResourceApplyAdamWithAmsgrad.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyAdamWithAmsgrad.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyAdamWithAmsgrad
ResourceApplyAddSign - Class in org.tensorflow.op.train: Update '*var' according to the AddSign update.
ResourceApplyAddSign(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyAddSign
resourceApplyAddSign(Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAddSign.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the AddSign update.
ResourceApplyAddSign.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyAddSign.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyAddSign
ResourceApplyCenteredRmsProp - Class in org.tensorflow.op.train: Update '*var' according to the centered RMSProp algorithm.
ResourceApplyCenteredRmsProp(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyCenteredRmsProp
resourceApplyCenteredRmsProp(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyCenteredRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the centered RMSProp algorithm.
ResourceApplyCenteredRmsProp.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyCenteredRmsProp.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyCenteredRmsProp
ResourceApplyFtrl - Class in org.tensorflow.op.train: Update '*var' according to the Ftrl-proximal scheme.
ResourceApplyFtrl(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyFtrl
resourceApplyFtrl(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyFtrl.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the Ftrl-proximal scheme.
ResourceApplyFtrl.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyFtrl.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyFtrl
ResourceApplyGradientDescent - Class in org.tensorflow.op.train: Update '*var' by subtracting 'alpha' * 'delta' from it.
ResourceApplyGradientDescent(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyGradientDescent
resourceApplyGradientDescent(Operand<? extends TType>, Operand<T>, Operand<T>, ResourceApplyGradientDescent.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' by subtracting 'alpha' * 'delta' from it.
ResourceApplyGradientDescent.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyGradientDescent.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyGradientDescent
ResourceApplyKerasMomentum - Class in org.tensorflow.op.train: Update '*var' according to the momentum scheme.
ResourceApplyKerasMomentum(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyKerasMomentum
resourceApplyKerasMomentum(Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyKerasMomentum.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the momentum scheme.
ResourceApplyKerasMomentum.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyKerasMomentum.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyKerasMomentum
ResourceApplyMomentum - Class in org.tensorflow.op.train: Update '*var' according to the momentum scheme.
ResourceApplyMomentum(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyMomentum
resourceApplyMomentum(Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyMomentum.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the momentum scheme.
ResourceApplyMomentum.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyMomentum.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyMomentum
ResourceApplyPowerSign - Class in org.tensorflow.op.train: Update '*var' according to the AddSign update.
ResourceApplyPowerSign(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyPowerSign
resourceApplyPowerSign(Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyPowerSign.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the AddSign update.
ResourceApplyPowerSign.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyPowerSign.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyPowerSign
ResourceApplyProximalAdagrad - Class in org.tensorflow.op.train: Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.
ResourceApplyProximalAdagrad(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyProximalAdagrad
resourceApplyProximalAdagrad(Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyProximalAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.
ResourceApplyProximalAdagrad.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyProximalAdagrad.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyProximalAdagrad
ResourceApplyProximalGradientDescent - Class in org.tensorflow.op.train: Update '*var' as FOBOS algorithm with fixed learning rate.
ResourceApplyProximalGradientDescent(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyProximalGradientDescent
resourceApplyProximalGradientDescent(Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyProximalGradientDescent.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' as FOBOS algorithm with fixed learning rate.
ResourceApplyProximalGradientDescent.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyProximalGradientDescent.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyProximalGradientDescent
ResourceApplyRmsProp - Class in org.tensorflow.op.train: Update '*var' according to the RMSProp algorithm.
ResourceApplyRmsProp(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyRmsProp
resourceApplyRmsProp(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the RMSProp algorithm.
ResourceApplyRmsProp.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyRmsProp.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyRmsProp
ResourceConditionalAccumulator - Class in org.tensorflow.op.train: A conditional accumulator for aggregating gradients.
ResourceConditionalAccumulator(Operation) - Constructor for class org.tensorflow.op.train.ResourceConditionalAccumulator
ResourceConditionalAccumulator.Inputs - Class in org.tensorflow.op.train
ResourceConditionalAccumulator.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceConditionalAccumulator
ResourceCountUpTo<T extends TNumber> - Class in org.tensorflow.op.core: Increments variable pointed to by 'resource' until it reaches 'limit'.
ResourceCountUpTo(Operation) - Constructor for class org.tensorflow.op.core.ResourceCountUpTo
resourceCountUpTo(Operand<? extends TType>, Long, Class<T>) - Method in class org.tensorflow.op.Ops: Increments variable pointed to by 'resource' until it reaches 'limit'.
ResourceCountUpTo.Inputs - Class in org.tensorflow.op.core
ResourceDtypeAndShape - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.eager.ResourceDtypeAndShape
ResourceDtypeAndShape.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.eager.ResourceDtypeAndShape
ResourceDtypeAndShapeOrBuilder - Interface in org.tensorflow.proto.framework
ResourceGather - Class in org.tensorflow.op.core: Gather slices from the variable pointed to by resource according to indices.
ResourceGather(Operation) - Constructor for class org.tensorflow.op.core.ResourceGather
resourceGather(Operand<? extends TType>, Operand<? extends TNumber>, Class, ResourceGather.Options...) - Method in class org.tensorflow.op.Ops: Gather slices from the variable pointed to by resource according to indices.
ResourceGather.Inputs - Class in org.tensorflow.op.core
ResourceGather.Options - Class in org.tensorflow.op.core: Optional attributes for ResourceGather
ResourceGatherNd - Class in org.tensorflow.op.core: The ResourceGatherNd operation
ResourceGatherNd(Operation) - Constructor for class org.tensorflow.op.core.ResourceGatherNd
resourceGatherNd(Operand<? extends TType>, Operand<? extends TNumber>, Class) - Method in class org.tensorflow.op.Ops: The ResourceGatherNd operation
ResourceGatherNd.Inputs - Class in org.tensorflow.op.core
resourceHandle - Variable in class org.tensorflow.op.data.DeserializeIterator.Inputs: A handle to an iterator resource.
resourceHandle() - Method in class org.tensorflow.op.data.IteratorFromStringHandle: Gets resourceHandle.
resourceHandle - Variable in class org.tensorflow.op.data.IteratorToStringHandle.Inputs: A handle to an iterator resource.
resourceHandle - Variable in class org.tensorflow.op.data.SerializeIterator.Inputs: A handle to an iterator resource.
ResourceHandle - Class in org.tensorflow.proto.framework
ResourceHandleProto - Class in org.tensorflow.proto.framework: Protocol buffer representing a handle to a tensorflow resource.
ResourceHandleProto.Builder - Class in org.tensorflow.proto.framework: Protocol buffer representing a handle to a tensorflow resource.
ResourceHandleProto.DtypeAndShape - Class in org.tensorflow.proto.framework: Protocol buffer representing a pair of (data type, tensor shape).
ResourceHandleProto.DtypeAndShape.Builder - Class in org.tensorflow.proto.framework: Protocol buffer representing a pair of (data type, tensor shape).
ResourceHandleProto.DtypeAndShapeOrBuilder - Interface in org.tensorflow.proto.framework
ResourceHandleProtoOrBuilder - Interface in org.tensorflow.proto.framework
resources - Variable in class org.tensorflow.op.xla.XlaLaunch.Inputs: The resources input
ResourceScatterAdd - Class in org.tensorflow.op.core: Adds sparse updates to the variable referenced by resource.
ResourceScatterAdd(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterAdd
resourceScatterAdd(Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Adds sparse updates to the variable referenced by resource.
ResourceScatterAdd.Inputs - Class in org.tensorflow.op.core
ResourceScatterDiv - Class in org.tensorflow.op.core: Divides sparse updates into the variable referenced by resource.
ResourceScatterDiv(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterDiv
resourceScatterDiv(Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Divides sparse updates into the variable referenced by resource.
ResourceScatterDiv.Inputs - Class in org.tensorflow.op.core
ResourceScatterMax - Class in org.tensorflow.op.core: Reduces sparse updates into the variable referenced by resource using the max operation.
ResourceScatterMax(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterMax
resourceScatterMax(Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Reduces sparse updates into the variable referenced by resource using the max operation.
ResourceScatterMax.Inputs - Class in org.tensorflow.op.core
ResourceScatterMin - Class in org.tensorflow.op.core: Reduces sparse updates into the variable referenced by resource using the min operation.
ResourceScatterMin(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterMin
resourceScatterMin(Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Reduces sparse updates into the variable referenced by resource using the min operation.
ResourceScatterMin.Inputs - Class in org.tensorflow.op.core
ResourceScatterMul - Class in org.tensorflow.op.core: Multiplies sparse updates into the variable referenced by resource.
ResourceScatterMul(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterMul
resourceScatterMul(Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Multiplies sparse updates into the variable referenced by resource.
ResourceScatterMul.Inputs - Class in org.tensorflow.op.core
ResourceScatterNdAdd - Class in org.tensorflow.op.core: Applies sparse addition to individual values or slices in a Variable.
ResourceScatterNdAdd(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdAdd
resourceScatterNdAdd(Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>, ResourceScatterNdAdd.Options...) - Method in class org.tensorflow.op.Ops: Applies sparse addition to individual values or slices in a Variable.
ResourceScatterNdAdd.Inputs - Class in org.tensorflow.op.core
ResourceScatterNdAdd.Options - Class in org.tensorflow.op.core: Optional attributes for ResourceScatterNdAdd
ResourceScatterNdMax - Class in org.tensorflow.op.core: The ResourceScatterNdMax operation
ResourceScatterNdMax(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdMax
resourceScatterNdMax(Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>, ResourceScatterNdMax.Options...) - Method in class org.tensorflow.op.Ops: The ResourceScatterNdMax operation
ResourceScatterNdMax.Inputs - Class in org.tensorflow.op.core
ResourceScatterNdMax.Options - Class in org.tensorflow.op.core: Optional attributes for ResourceScatterNdMax
ResourceScatterNdMin - Class in org.tensorflow.op.core: The ResourceScatterNdMin operation
ResourceScatterNdMin(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdMin
resourceScatterNdMin(Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>, ResourceScatterNdMin.Options...) - Method in class org.tensorflow.op.Ops: The ResourceScatterNdMin operation
ResourceScatterNdMin.Inputs - Class in org.tensorflow.op.core
ResourceScatterNdMin.Options - Class in org.tensorflow.op.core: Optional attributes for ResourceScatterNdMin
ResourceScatterNdSub - Class in org.tensorflow.op.core: Applies sparse subtraction to individual values or slices in a Variable.
ResourceScatterNdSub(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdSub
resourceScatterNdSub(Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>, ResourceScatterNdSub.Options...) - Method in class org.tensorflow.op.Ops: Applies sparse subtraction to individual values or slices in a Variable.
ResourceScatterNdSub.Inputs - Class in org.tensorflow.op.core
ResourceScatterNdSub.Options - Class in org.tensorflow.op.core: Optional attributes for ResourceScatterNdSub
ResourceScatterNdUpdate - Class in org.tensorflow.op.core: Applies sparse updates to individual values or slices within a given variable according to indices.
ResourceScatterNdUpdate(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdUpdate
resourceScatterNdUpdate(Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>, ResourceScatterNdUpdate.Options...) - Method in class org.tensorflow.op.Ops: Applies sparse updates to individual values or slices within a given variable according to indices.
ResourceScatterNdUpdate.Inputs - Class in org.tensorflow.op.core
ResourceScatterNdUpdate.Options - Class in org.tensorflow.op.core: Optional attributes for ResourceScatterNdUpdate
ResourceScatterSub - Class in org.tensorflow.op.core: Subtracts sparse updates from the variable referenced by resource.
ResourceScatterSub(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterSub
resourceScatterSub(Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Subtracts sparse updates from the variable referenced by resource.
ResourceScatterSub.Inputs - Class in org.tensorflow.op.core
ResourceScatterUpdate - Class in org.tensorflow.op.core: Assigns sparse updates to the variable referenced by resource.
ResourceScatterUpdate(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterUpdate
resourceScatterUpdate(Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Assigns sparse updates to the variable referenced by resource.
ResourceScatterUpdate.Inputs - Class in org.tensorflow.op.core
ResourceSparseApplyAdadelta - Class in org.tensorflow.op.train: var: Should be from a Variable().
ResourceSparseApplyAdadelta(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyAdadelta
resourceSparseApplyAdadelta(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, ResourceSparseApplyAdadelta.Options...) - Method in class org.tensorflow.op.TrainOps: var: Should be from a Variable().
ResourceSparseApplyAdadelta.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceSparseApplyAdadelta.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyAdadelta
ResourceSparseApplyAdagrad - Class in org.tensorflow.op.train: Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
ResourceSparseApplyAdagrad(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyAdagrad
resourceSparseApplyAdagrad(Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<? extends TNumber>, ResourceSparseApplyAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps: Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
ResourceSparseApplyAdagrad.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceSparseApplyAdagrad.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyAdagrad
ResourceSparseApplyAdagradDa - Class in org.tensorflow.op.train: Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
ResourceSparseApplyAdagradDa(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyAdagradDa
resourceSparseApplyAdagradDa(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<? extends TNumber>, Operand<T>, Operand<T>, Operand<T>, Operand<TInt64>, ResourceSparseApplyAdagradDa.Options...) - Method in class org.tensorflow.op.TrainOps: Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
ResourceSparseApplyAdagradDa.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceSparseApplyAdagradDa.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyAdagradDa
ResourceSparseApplyAdagradV2 - Class in org.tensorflow.op.train: Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
ResourceSparseApplyAdagradV2(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyAdagradV2
ResourceSparseApplyAdagradV2.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceSparseApplyAdagradV2.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyAdagradV2
ResourceSparseApplyCenteredRmsProp - Class in org.tensorflow.op.train: Update '*var' according to the centered RMSProp algorithm.
ResourceSparseApplyCenteredRmsProp(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp
resourceSparseApplyCenteredRmsProp(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, ResourceSparseApplyCenteredRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the centered RMSProp algorithm.
ResourceSparseApplyCenteredRmsProp.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceSparseApplyCenteredRmsProp.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyCenteredRmsProp
ResourceSparseApplyFtrl - Class in org.tensorflow.op.train: Update relevant entries in '*var' according to the Ftrl-proximal scheme.
ResourceSparseApplyFtrl(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyFtrl
resourceSparseApplyFtrl(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<? extends TNumber>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceSparseApplyFtrl.Options...) - Method in class org.tensorflow.op.TrainOps: Update relevant entries in '*var' according to the Ftrl-proximal scheme.
ResourceSparseApplyFtrl.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceSparseApplyFtrl.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyFtrl
ResourceSparseApplyKerasMomentum - Class in org.tensorflow.op.train: Update relevant entries in '*var' and '*accum' according to the momentum scheme.
ResourceSparseApplyKerasMomentum(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum
resourceSparseApplyKerasMomentum(Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<? extends TNumber>, Operand<T>, ResourceSparseApplyKerasMomentum.Options...) - Method in class org.tensorflow.op.TrainOps: Update relevant entries in '*var' and '*accum' according to the momentum scheme.
ResourceSparseApplyKerasMomentum.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceSparseApplyKerasMomentum.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyKerasMomentum
ResourceSparseApplyMomentum - Class in org.tensorflow.op.train: Update relevant entries in '*var' and '*accum' according to the momentum scheme.
ResourceSparseApplyMomentum(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyMomentum
resourceSparseApplyMomentum(Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<? extends TNumber>, Operand<T>, ResourceSparseApplyMomentum.Options...) - Method in class org.tensorflow.op.TrainOps: Update relevant entries in '*var' and '*accum' according to the momentum scheme.
ResourceSparseApplyMomentum.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceSparseApplyMomentum.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyMomentum
ResourceSparseApplyProximalAdagrad - Class in org.tensorflow.op.train: Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
ResourceSparseApplyProximalAdagrad(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad
resourceSparseApplyProximalAdagrad(Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, ResourceSparseApplyProximalAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps: Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
ResourceSparseApplyProximalAdagrad.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceSparseApplyProximalAdagrad.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyProximalAdagrad
ResourceSparseApplyProximalGradientDescent - Class in org.tensorflow.op.train: Sparse update '*var' as FOBOS algorithm with fixed learning rate.
ResourceSparseApplyProximalGradientDescent(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent
resourceSparseApplyProximalGradientDescent(Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, ResourceSparseApplyProximalGradientDescent.Options...) - Method in class org.tensorflow.op.TrainOps: Sparse update '*var' as FOBOS algorithm with fixed learning rate.
ResourceSparseApplyProximalGradientDescent.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceSparseApplyProximalGradientDescent.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyProximalGradientDescent
ResourceSparseApplyRmsProp - Class in org.tensorflow.op.train: Update '*var' according to the RMSProp algorithm.
ResourceSparseApplyRmsProp(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyRmsProp
resourceSparseApplyRmsProp(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, ResourceSparseApplyRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the RMSProp algorithm.
ResourceSparseApplyRmsProp.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceSparseApplyRmsProp.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyRmsProp
ResourceStridedSliceAssign - Class in org.tensorflow.op.core: Assign value to the sliced l-value reference of ref.
ResourceStridedSliceAssign(Operation) - Constructor for class org.tensorflow.op.core.ResourceStridedSliceAssign
resourceStridedSliceAssign(Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TType>, ResourceStridedSliceAssign.Options...) - Method in class org.tensorflow.op.Ops: Assign value to the sliced l-value reference of ref.
ResourceStridedSliceAssign.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
ResourceStridedSliceAssign.Options - Class in org.tensorflow.op.core: Optional attributes for ResourceStridedSliceAssign
response() - Method in class org.tensorflow.op.tpu.WorkerHeartbeat: Gets response.
Restore - Class in org.tensorflow.op.train: Restores tensors from a V2 checkpoint.
Restore(Operation) - Constructor for class org.tensorflow.op.train.Restore
restore(Operand<TString>, Operand<TString>, Operand<TString>, List<Class<? extends TType>>) - Method in class org.tensorflow.op.TrainOps: Restores tensors from a V2 checkpoint.
restore(String) - Method in class org.tensorflow.Session: Restore the actual state of the variables of this session's graph.
Restore.Inputs - Class in org.tensorflow.op.train
RESTORE_FUNCTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SaveableObject
RESTORE_OP_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.SaverDef
RestoreSlice<T extends TType> - Class in org.tensorflow.op.train: Restores a tensor from checkpoint files.
RestoreSlice(Operation) - Constructor for class org.tensorflow.op.train.RestoreSlice
restoreSlice(Operand<TString>, Operand<TString>, Operand<TString>, Class<T>, RestoreSlice.Options...) - Method in class org.tensorflow.op.TrainOps: Restores a tensor from checkpoint files.
RestoreSlice.Inputs - Class in org.tensorflow.op.train
RestoreSlice.Options - Class in org.tensorflow.op.train: Optional attributes for RestoreSlice
result() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization: Gets result.
result() - Method in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization: Gets result.
result() - Method in class org.tensorflow.op.ragged.RaggedTensorToTensor: Gets result.
resultIndices() - Method in class org.tensorflow.op.sparse.DenseToDenseSetOperation: Gets resultIndices.
resultIndices() - Method in class org.tensorflow.op.sparse.DenseToSparseSetOperation: Gets resultIndices.
resultIndices() - Method in class org.tensorflow.op.sparse.SparseToSparseSetOperation: Gets resultIndices.
resultMax() - Method in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization: Gets resultMax.
resultMin() - Method in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization: Gets resultMin.
results() - Method in class org.tensorflow.op.tpu.Execute: Gets results.
results() - Method in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables: Gets results.
results() - Method in class org.tensorflow.op.xla.XlaLaunch: Gets results.
resultShape() - Method in class org.tensorflow.op.sparse.DenseToDenseSetOperation: Gets resultShape.
resultShape() - Method in class org.tensorflow.op.sparse.DenseToSparseSetOperation: Gets resultShape.
resultShape() - Method in class org.tensorflow.op.sparse.SparseToSparseSetOperation: Gets resultShape.
resultValues() - Method in class org.tensorflow.op.sparse.DenseToDenseSetOperation: Gets resultValues.
resultValues() - Method in class org.tensorflow.op.sparse.DenseToSparseSetOperation: Gets resultValues.
resultValues() - Method in class org.tensorflow.op.sparse.SparseToSparseSetOperation: Gets resultValues.
RET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.FunctionDef
RetrieveTPUEmbeddingAdadeltaParameters - Class in org.tensorflow.op.tpu: Retrieve Adadelta embedding parameters.
RetrieveTPUEmbeddingAdadeltaParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters
RetrieveTPUEmbeddingAdadeltaParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingAdadeltaParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingAdadeltaParameters
RetrieveTPUEmbeddingAdagradMomentumParameters - Class in org.tensorflow.op.tpu: Retrieve Adagrad Momentum embedding parameters.
RetrieveTPUEmbeddingAdagradMomentumParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters
RetrieveTPUEmbeddingAdagradMomentumParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingAdagradMomentumParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingAdagradMomentumParameters
RetrieveTPUEmbeddingAdagradParameters - Class in org.tensorflow.op.tpu: Retrieve Adagrad embedding parameters.
RetrieveTPUEmbeddingAdagradParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters
RetrieveTPUEmbeddingAdagradParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingAdagradParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingAdagradParameters
RetrieveTPUEmbeddingADAMParameters - Class in org.tensorflow.op.tpu: Retrieve ADAM embedding parameters.
RetrieveTPUEmbeddingADAMParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters
RetrieveTPUEmbeddingADAMParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingADAMParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingADAMParameters
RetrieveTPUEmbeddingCenteredRMSPropParameters - Class in org.tensorflow.op.tpu: Retrieve centered RMSProp embedding parameters.
RetrieveTPUEmbeddingCenteredRMSPropParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters
RetrieveTPUEmbeddingCenteredRMSPropParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingCenteredRMSPropParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingCenteredRMSPropParameters
RetrieveTPUEmbeddingFrequencyEstimatorParameters - Class in org.tensorflow.op.tpu: Retrieve frequency estimator embedding parameters.
RetrieveTPUEmbeddingFrequencyEstimatorParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters
RetrieveTPUEmbeddingFrequencyEstimatorParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingFrequencyEstimatorParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingFrequencyEstimatorParameters
RetrieveTPUEmbeddingFTRLParameters - Class in org.tensorflow.op.tpu: Retrieve FTRL embedding parameters.
RetrieveTPUEmbeddingFTRLParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters
RetrieveTPUEmbeddingFTRLParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingFTRLParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingFTRLParameters
RetrieveTPUEmbeddingMDLAdagradLightParameters - Class in org.tensorflow.op.tpu: Retrieve MDL Adagrad Light embedding parameters.
RetrieveTPUEmbeddingMDLAdagradLightParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters
RetrieveTPUEmbeddingMDLAdagradLightParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingMDLAdagradLightParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingMDLAdagradLightParameters
RetrieveTPUEmbeddingMomentumParameters - Class in org.tensorflow.op.tpu: Retrieve Momentum embedding parameters.
RetrieveTPUEmbeddingMomentumParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters
RetrieveTPUEmbeddingMomentumParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingMomentumParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingMomentumParameters
RetrieveTPUEmbeddingProximalAdagradParameters - Class in org.tensorflow.op.tpu: Retrieve proximal Adagrad embedding parameters.
RetrieveTPUEmbeddingProximalAdagradParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters
RetrieveTPUEmbeddingProximalAdagradParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingProximalAdagradParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingProximalAdagradParameters
RetrieveTPUEmbeddingProximalYogiParameters - Class in org.tensorflow.op.tpu: The RetrieveTPUEmbeddingProximalYogiParameters operation
RetrieveTPUEmbeddingProximalYogiParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters
RetrieveTPUEmbeddingProximalYogiParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingProximalYogiParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingProximalYogiParameters
RetrieveTPUEmbeddingRMSPropParameters - Class in org.tensorflow.op.tpu: Retrieve RMSProp embedding parameters.
RetrieveTPUEmbeddingRMSPropParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters
RetrieveTPUEmbeddingRMSPropParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingRMSPropParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingRMSPropParameters
RetrieveTPUEmbeddingStochasticGradientDescentParameters - Class in org.tensorflow.op.tpu: Retrieve SGD embedding parameters.
RetrieveTPUEmbeddingStochasticGradientDescentParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters
RetrieveTPUEmbeddingStochasticGradientDescentParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingStochasticGradientDescentParameters
Reverse<T extends TType> - Class in org.tensorflow.op.core: Reverses specific dimensions of a tensor.
Reverse(Operation) - Constructor for class org.tensorflow.op.core.Reverse
reverse - Variable in class org.tensorflow.op.math.Cumprod.Inputs: A `bool` (default: False).
reverse(Boolean) - Method in class org.tensorflow.op.math.Cumprod.Options: Sets the reverse option.
reverse(Boolean) - Static method in class org.tensorflow.op.math.Cumprod: Sets the reverse option.
reverse - Variable in class org.tensorflow.op.math.Cumsum.Inputs: A `bool` (default: False).
reverse(Boolean) - Method in class org.tensorflow.op.math.Cumsum.Options: Sets the reverse option.
reverse(Boolean) - Static method in class org.tensorflow.op.math.Cumsum: Sets the reverse option.
reverse - Variable in class org.tensorflow.op.math.CumulativeLogsumexp.Inputs: A `bool` (default: False).
reverse(Boolean) - Method in class org.tensorflow.op.math.CumulativeLogsumexp.Options: Sets the reverse option.
reverse(Boolean) - Static method in class org.tensorflow.op.math.CumulativeLogsumexp: Sets the reverse option.
reverse - Variable in class org.tensorflow.op.nn.NthElement.Inputs: When set to True, find the nth-largest value in the vector and vice versa.
reverse(Boolean) - Method in class org.tensorflow.op.nn.NthElement.Options: Sets the reverse option.
reverse(Boolean) - Static method in class org.tensorflow.op.nn.NthElement: Sets the reverse option.
reverse(Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.Ops: Reverses specific dimensions of a tensor.
Reverse.Inputs<T extends TType> - Class in org.tensorflow.op.core
reverseIndexMap() - Method in class org.tensorflow.op.sparse.SparseFillEmptyRows: Gets reverseIndexMap.
reverseIndexMap - Variable in class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad.Inputs: 1-D.
ReverseSequence<T extends TType> - Class in org.tensorflow.op.core: Reverses variable length slices.
ReverseSequence(Operation) - Constructor for class org.tensorflow.op.core.ReverseSequence
reverseSequence(Operand<T>, Operand<? extends TNumber>, Long, ReverseSequence.Options...) - Method in class org.tensorflow.op.Ops: Reverses variable length slices.
ReverseSequence.Inputs<T extends TType> - Class in org.tensorflow.op.core
ReverseSequence.Options - Class in org.tensorflow.op.core: Optional attributes for ReverseSequence
rewrite - Variable in class org.tensorflow.op.strings.RegexReplace.Inputs: The rewrite string to be substituted for the pattern expression where it is matched in the input strings.
rewrite - Variable in class org.tensorflow.op.strings.StaticRegexReplace.Inputs: The rewrite to be applied to the matched expression.
REWRITE_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphOptions
RewriterConfig - Class in org.tensorflow.proto.framework: Graph rewriting is experimental and subject to change, not covered by any API stability guarantees.
RewriterConfig.Builder - Class in org.tensorflow.proto.framework: Graph rewriting is experimental and subject to change, not covered by any API stability guarantees.
RewriterConfig.CpuLayout - Enum in org.tensorflow.proto.framework: Enum for layout conversion between NCHW and NHWC on CPU.
RewriterConfig.CustomGraphOptimizer - Class in org.tensorflow.proto.framework: Message to describe custom graph optimizer and its parameters
RewriterConfig.CustomGraphOptimizer.Builder - Class in org.tensorflow.proto.framework: Message to describe custom graph optimizer and its parameters
RewriterConfig.CustomGraphOptimizerOrBuilder - Interface in org.tensorflow.proto.framework
RewriterConfig.MemOptType - Enum in org.tensorflow.proto.framework: Protobuf enum tensorflow.RewriterConfig.MemOptType
RewriterConfig.NumIterationsType - Enum in org.tensorflow.proto.framework: Enum controlling the number of times to run optimizers.
RewriterConfig.Toggle - Enum in org.tensorflow.proto.framework: Protobuf enum tensorflow.RewriterConfig.Toggle
RewriterConfigOrBuilder - Interface in org.tensorflow.proto.framework
RewriterConfigProtos - Class in org.tensorflow.proto.framework
Rfft - Class in org.tensorflow.op.signal: Real-valued fast Fourier transform.
Rfft(Operation) - Constructor for class org.tensorflow.op.signal.Rfft
rfft(Operand<? extends TNumber>, Operand<TInt32>, Class) - Method in class org.tensorflow.op.SignalOps: Real-valued fast Fourier transform.
Rfft.Inputs - Class in org.tensorflow.op.signal
Rfft2d - Class in org.tensorflow.op.signal: 2D real-valued fast Fourier transform.
Rfft2d(Operation) - Constructor for class org.tensorflow.op.signal.Rfft2d
rfft2d(Operand<? extends TNumber>, Operand<TInt32>, Class) - Method in class org.tensorflow.op.SignalOps: 2D real-valued fast Fourier transform.
Rfft2d.Inputs - Class in org.tensorflow.op.signal
Rfft3d - Class in org.tensorflow.op.signal: 3D real-valued fast Fourier transform.
Rfft3d(Operation) - Constructor for class org.tensorflow.op.signal.Rfft3d
rfft3d(Operand<? extends TNumber>, Operand<TInt32>, Class) - Method in class org.tensorflow.op.SignalOps: 3D real-valued fast Fourier transform.
Rfft3d.Inputs - Class in org.tensorflow.op.signal
RgbToHsv<T extends TNumber> - Class in org.tensorflow.op.image: Converts one or more images from RGB to HSV.
RgbToHsv(Operation) - Constructor for class org.tensorflow.op.image.RgbToHsv
rgbToHsv(Operand<T>) - Method in class org.tensorflow.op.ImageOps: Converts one or more images from RGB to HSV.
RgbToHsv.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
rho - Variable in class org.tensorflow.op.train.ApplyAdadelta.Inputs: Decay factor.
rho - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: Decay rate.
rho - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: Decay rate.
rho - Variable in class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs: Decay factor.
rho - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: Decay rate.
rho - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: Decay rate.
rho - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: Decay factor.
rho - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: Decay rate.
rho - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: Decay rate.
rho - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: Decay factor.
rho - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: Decay rate.
rho - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: Decay rate.
rhs - Variable in class org.tensorflow.op.linalg.BandedTriangularSolve.Inputs: The rhs input
rhs - Variable in class org.tensorflow.op.linalg.BatchMatrixSolve.Inputs: The rhs input
rhs - Variable in class org.tensorflow.op.linalg.BatchMatrixSolveLs.Inputs: The rhs input
rhs - Variable in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve.Inputs: The rhs input
rhs - Variable in class org.tensorflow.op.linalg.MatrixSolveLs.Inputs: Shape is [..., M, K].
rhs - Variable in class org.tensorflow.op.linalg.Solve.Inputs: Shape is [..., M, K].
rhs - Variable in class org.tensorflow.op.linalg.TriangularSolve.Inputs: Shape is [..., M, K].
rhs - Variable in class org.tensorflow.op.linalg.TridiagonalMatMul.Inputs: Tensor of shape [..., M, N], representing MxN matrices to the right of multiplication.
rhs - Variable in class org.tensorflow.op.linalg.TridiagonalSolve.Inputs: Tensor of shape [..., M, K], representing K right-hand sides per each left-hand side.
rhs - Variable in class org.tensorflow.op.risc.RiscTriangularSolve.Inputs: The rhs input
rhs - Variable in class org.tensorflow.op.xla.BroadcastHelper.Inputs: the RHS input tensor
rhs - Variable in class org.tensorflow.op.xla.Conv.Inputs: the kernel tensor
rhs - Variable in class org.tensorflow.op.xla.Dot.Inputs: the RHS tensor
rhsDilation - Variable in class org.tensorflow.op.xla.Conv.Inputs: dilation to apply between kernel elements
rhsOutput() - Method in class org.tensorflow.op.xla.BroadcastHelper: Gets rhsOutput.
RhsT - Variable in class org.tensorflow.op.xla.Conv.Inputs: The RhsT attribute
RhsT - Variable in class org.tensorflow.op.xla.Dot.Inputs: The RhsT attribute
rightNodeContribs() - Method in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplit: Gets rightNodeContribs.
rightNodeContribs() - Method in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplitV2: Gets rightNodeContribs.
rightNodeContribs() - Method in class org.tensorflow.op.estimator.BoostedTreesSparseCalculateBestFeatureSplit: Gets rightNodeContribs.
rightNodeContribs - Variable in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsemble.Inputs: List of rank 2 tensors with right leaf contribs for each of the feature's splits.
rightNodeContribs - Variable in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsembleV2.Inputs: List of rank 2 tensors with right leaf contribs for each of the feature's splits.
rightNodeContribsList() - Method in class org.tensorflow.op.estimator.BoostedTreesCalculateBestGainsPerFeature: Gets rightNodeContribsList.
rightPad - Variable in class org.tensorflow.op.strings.StringNGrams.Inputs: The string to use to pad the right side of the ngram sequence.
RightShift<T extends TNumber> - Class in org.tensorflow.op.bitwise: Elementwise computes the bitwise right-shift of x and y.
RightShift(Operation) - Constructor for class org.tensorflow.op.bitwise.RightShift
rightShift(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.BitwiseOps: Elementwise computes the bitwise right-shift of x and y.
RightShift.Inputs<T extends TNumber> - Class in org.tensorflow.op.bitwise
Rint<T extends TNumber> - Class in org.tensorflow.op.math: Returns element-wise integer closest to x.
Rint(Operation) - Constructor for class org.tensorflow.op.math.Rint
rint(Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns element-wise integer closest to x.
Rint.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
RiscAbs<T extends TNumber> - Class in org.tensorflow.op.risc: The RiscAbs operation
RiscAbs(Operation) - Constructor for class org.tensorflow.op.risc.RiscAbs
RiscAbs.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscAdd<T extends TNumber> - Class in org.tensorflow.op.risc: Returns x + y element-wise.
RiscAdd(Operation) - Constructor for class org.tensorflow.op.risc.RiscAdd
RiscAdd.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscBinaryArithmetic<T extends TNumber> - Class in org.tensorflow.op.risc: The RiscBinaryArithmetic operation
RiscBinaryArithmetic(Operation) - Constructor for class org.tensorflow.op.risc.RiscBinaryArithmetic
RiscBinaryArithmetic.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscBinaryComparison - Class in org.tensorflow.op.risc: The RiscBinaryComparison operation
RiscBinaryComparison(Operation) - Constructor for class org.tensorflow.op.risc.RiscBinaryComparison
RiscBinaryComparison.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscBitcast - Class in org.tensorflow.op.risc: The RiscBitcast operation
RiscBitcast(Operation) - Constructor for class org.tensorflow.op.risc.RiscBitcast
RiscBitcast.Inputs - Class in org.tensorflow.op.risc
RiscBroadcast<T extends TType> - Class in org.tensorflow.op.risc: The RiscBroadcast operation
RiscBroadcast(Operation) - Constructor for class org.tensorflow.op.risc.RiscBroadcast
RiscBroadcast.Inputs<T extends TType> - Class in org.tensorflow.op.risc
RiscCast - Class in org.tensorflow.op.risc: The RiscCast operation
RiscCast(Operation) - Constructor for class org.tensorflow.op.risc.RiscCast
RiscCast.Inputs - Class in org.tensorflow.op.risc
RiscCeil<T extends TNumber> - Class in org.tensorflow.op.risc: The RiscCeil operation
RiscCeil(Operation) - Constructor for class org.tensorflow.op.risc.RiscCeil
RiscCeil.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscCholesky<T extends TNumber> - Class in org.tensorflow.op.risc: The RiscCholesky operation
RiscCholesky(Operation) - Constructor for class org.tensorflow.op.risc.RiscCholesky
RiscCholesky.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscConcat<T extends TType> - Class in org.tensorflow.op.risc: The RiscConcat operation
RiscConcat(Operation) - Constructor for class org.tensorflow.op.risc.RiscConcat
RiscConcat.Inputs<T extends TType> - Class in org.tensorflow.op.risc
RiscCondition - Class in org.tensorflow.op.risc: The RiscCondition operation
RiscCondition(Operation) - Constructor for class org.tensorflow.op.risc.RiscCondition
RiscCondition.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscConv<T extends TNumber> - Class in org.tensorflow.op.risc: The RiscConv operation
RiscConv(Operation) - Constructor for class org.tensorflow.op.risc.RiscConv
RiscConv.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscConv.Options - Class in org.tensorflow.op.risc: Optional attributes for RiscConv
RiscCos<T extends TNumber> - Class in org.tensorflow.op.risc: The RiscCos operation
RiscCos(Operation) - Constructor for class org.tensorflow.op.risc.RiscCos
RiscCos.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscDiv<T extends TNumber> - Class in org.tensorflow.op.risc: The RiscDiv operation
RiscDiv(Operation) - Constructor for class org.tensorflow.op.risc.RiscDiv
RiscDiv.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscDot<T extends TNumber> - Class in org.tensorflow.op.risc: The RiscDot operation
RiscDot(Operation) - Constructor for class org.tensorflow.op.risc.RiscDot
RiscDot.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscDot.Options - Class in org.tensorflow.op.risc: Optional attributes for RiscDot
RiscExp<T extends TNumber> - Class in org.tensorflow.op.risc: The RiscExp operation
RiscExp(Operation) - Constructor for class org.tensorflow.op.risc.RiscExp
RiscExp.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscFft<T extends TType> - Class in org.tensorflow.op.risc: The RiscFft operation
RiscFft(Operation) - Constructor for class org.tensorflow.op.risc.RiscFft
RiscFft.Inputs<T extends TType> - Class in org.tensorflow.op.risc
RiscFloor<T extends TNumber> - Class in org.tensorflow.op.risc: The RiscFloor operation
RiscFloor(Operation) - Constructor for class org.tensorflow.op.risc.RiscFloor
RiscFloor.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscGather<T extends TType> - Class in org.tensorflow.op.risc: The RiscGather operation
RiscGather(Operation) - Constructor for class org.tensorflow.op.risc.RiscGather
RiscGather.Inputs<T extends TType> - Class in org.tensorflow.op.risc
RiscGather.Options - Class in org.tensorflow.op.risc: Optional attributes for RiscGather
RiscImag - Class in org.tensorflow.op.risc: The RiscImag operation
RiscImag(Operation) - Constructor for class org.tensorflow.op.risc.RiscImag
RiscImag.Inputs - Class in org.tensorflow.op.risc
RiscIsFinite - Class in org.tensorflow.op.risc: The RiscIsFinite operation
RiscIsFinite(Operation) - Constructor for class org.tensorflow.op.risc.RiscIsFinite
RiscIsFinite.Inputs - Class in org.tensorflow.op.risc
RiscLog<T extends TNumber> - Class in org.tensorflow.op.risc: The RiscLog operation
RiscLog(Operation) - Constructor for class org.tensorflow.op.risc.RiscLog
RiscLog.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscLogicalAnd - Class in org.tensorflow.op.risc: The RiscLogicalAnd operation
RiscLogicalAnd(Operation) - Constructor for class org.tensorflow.op.risc.RiscLogicalAnd
RiscLogicalAnd.Inputs - Class in org.tensorflow.op.risc
RiscLogicalNot - Class in org.tensorflow.op.risc: The RiscLogicalNot operation
RiscLogicalNot(Operation) - Constructor for class org.tensorflow.op.risc.RiscLogicalNot
RiscLogicalNot.Inputs - Class in org.tensorflow.op.risc
RiscLogicalOr - Class in org.tensorflow.op.risc: The RiscLogicalOr operation
RiscLogicalOr(Operation) - Constructor for class org.tensorflow.op.risc.RiscLogicalOr
RiscLogicalOr.Inputs - Class in org.tensorflow.op.risc
RiscMax<T extends TNumber> - Class in org.tensorflow.op.risc: Returns max(x, y) element-wise.
RiscMax(Operation) - Constructor for class org.tensorflow.op.risc.RiscMax
RiscMax.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscMin<T extends TNumber> - Class in org.tensorflow.op.risc: The RiscMin operation
RiscMin(Operation) - Constructor for class org.tensorflow.op.risc.RiscMin
RiscMin.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscMul<T extends TNumber> - Class in org.tensorflow.op.risc: The RiscMul operation
RiscMul(Operation) - Constructor for class org.tensorflow.op.risc.RiscMul
RiscMul.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscNeg<T extends TNumber> - Class in org.tensorflow.op.risc: The RiscNeg operation
RiscNeg(Operation) - Constructor for class org.tensorflow.op.risc.RiscNeg
RiscNeg.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscPad<T extends TNumber> - Class in org.tensorflow.op.risc: The RiscPad operation
RiscPad(Operation) - Constructor for class org.tensorflow.op.risc.RiscPad
RiscPad.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscPool<T extends TNumber> - Class in org.tensorflow.op.risc: The RiscPool operation
RiscPool(Operation) - Constructor for class org.tensorflow.op.risc.RiscPool
RiscPool.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscPool.Options - Class in org.tensorflow.op.risc: Optional attributes for RiscPool
RiscPow<T extends TNumber> - Class in org.tensorflow.op.risc: The RiscPow operation
RiscPow(Operation) - Constructor for class org.tensorflow.op.risc.RiscPow
RiscPow.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscRandomUniform - Class in org.tensorflow.op.risc: The RiscRandomUniform operation
RiscRandomUniform(Operation) - Constructor for class org.tensorflow.op.risc.RiscRandomUniform
RiscRandomUniform.Inputs - Class in org.tensorflow.op.risc
RiscRandomUniform.Options - Class in org.tensorflow.op.risc: Optional attributes for RiscRandomUniform
RiscReal - Class in org.tensorflow.op.risc: The RiscReal operation
RiscReal(Operation) - Constructor for class org.tensorflow.op.risc.RiscReal
RiscReal.Inputs - Class in org.tensorflow.op.risc
RiscReduce<T extends TNumber> - Class in org.tensorflow.op.risc: The RiscReduce operation
RiscReduce(Operation) - Constructor for class org.tensorflow.op.risc.RiscReduce
RiscReduce.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscRem<T extends TNumber> - Class in org.tensorflow.op.risc: The RiscRem operation
RiscRem(Operation) - Constructor for class org.tensorflow.op.risc.RiscRem
RiscRem.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscReshape<T extends TNumber> - Class in org.tensorflow.op.risc: The RiscReshape operation
RiscReshape(Operation) - Constructor for class org.tensorflow.op.risc.RiscReshape
RiscReshape.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscReverse<T extends TNumber> - Class in org.tensorflow.op.risc: The RiscReverse operation
RiscReverse(Operation) - Constructor for class org.tensorflow.op.risc.RiscReverse
RiscReverse.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscScatter - Class in org.tensorflow.op.risc: The RiscScatter operation
RiscScatter(Operation) - Constructor for class org.tensorflow.op.risc.RiscScatter
RiscScatter.Inputs<T extends TNumber,U extends TNumber> - Class in org.tensorflow.op.risc
RiscShape - Class in org.tensorflow.op.risc: The RiscShape operation
RiscShape(Operation) - Constructor for class org.tensorflow.op.risc.RiscShape
RiscShape.Inputs - Class in org.tensorflow.op.risc
RiscSign<T extends TNumber> - Class in org.tensorflow.op.risc: The RiscSign operation
RiscSign(Operation) - Constructor for class org.tensorflow.op.risc.RiscSign
RiscSign.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscSlice<T extends TNumber> - Class in org.tensorflow.op.risc: The RiscSlice operation
RiscSlice(Operation) - Constructor for class org.tensorflow.op.risc.RiscSlice
RiscSlice.Inputs<T extends TNumber,U extends TNumber> - Class in org.tensorflow.op.risc
RiscSort<T extends TNumber> - Class in org.tensorflow.op.risc: The RiscSort operation
RiscSort(Operation) - Constructor for class org.tensorflow.op.risc.RiscSort
RiscSort.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscSqueeze<T extends TType> - Class in org.tensorflow.op.risc: The RiscSqueeze operation
RiscSqueeze(Operation) - Constructor for class org.tensorflow.op.risc.RiscSqueeze
RiscSqueeze.Inputs<T extends TType> - Class in org.tensorflow.op.risc
RiscSqueeze.Options - Class in org.tensorflow.op.risc: Optional attributes for RiscSqueeze
RiscSub<T extends TNumber> - Class in org.tensorflow.op.risc: The RiscSub operation
RiscSub(Operation) - Constructor for class org.tensorflow.op.risc.RiscSub
RiscSub.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscTranspose<T extends TType> - Class in org.tensorflow.op.risc: The RiscTranspose operation
RiscTranspose(Operation) - Constructor for class org.tensorflow.op.risc.RiscTranspose
RiscTranspose.Inputs<T extends TType> - Class in org.tensorflow.op.risc
RiscTriangularSolve<T extends TNumber> - Class in org.tensorflow.op.risc: The RiscTriangularSolve operation
RiscTriangularSolve(Operation) - Constructor for class org.tensorflow.op.risc.RiscTriangularSolve
RiscTriangularSolve.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscTriangularSolve.Options - Class in org.tensorflow.op.risc: Optional attributes for RiscTriangularSolve
RiscUnary<T extends TNumber> - Class in org.tensorflow.op.risc: The RiscUnary operation
RiscUnary(Operation) - Constructor for class org.tensorflow.op.risc.RiscUnary
RiscUnary.Inputs<T extends TNumber> - Class in org.tensorflow.op.risc
RiscWhile - Class in org.tensorflow.op.risc: The RiscWhile operation
RiscWhile(Operation) - Constructor for class org.tensorflow.op.risc.RiscWhile
RiscWhile.Inputs - Class in org.tensorflow.op.risc
RiscWhile.Options - Class in org.tensorflow.op.risc: Optional attributes for RiscWhile
RngBitGenerator - Class in org.tensorflow.op.xla: Stateless PRNG bit generator.
RngBitGenerator(Operation) - Constructor for class org.tensorflow.op.xla.RngBitGenerator
rngBitGenerator(Operand<TInt32>, Operand<? extends TType>, Operand<? extends TNumber>, Class) - Method in class org.tensorflow.op.XlaOps: Stateless PRNG bit generator.
RngBitGenerator.Inputs - Class in org.tensorflow.op.xla
RngReadAndSkip - Class in org.tensorflow.op.random: Advance the counter of a counter-based RNG.
RngReadAndSkip(Operation) - Constructor for class org.tensorflow.op.random.RngReadAndSkip
RngReadAndSkip.Inputs - Class in org.tensorflow.op.random
RngSkip - Class in org.tensorflow.op.random: Advance the counter of a counter-based RNG.
RngSkip(Operation) - Constructor for class org.tensorflow.op.random.RngSkip
RngSkip.Inputs - Class in org.tensorflow.op.random
rnnMode - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The rnnMode attribute
rnnMode(String) - Method in class org.tensorflow.op.nn.CudnnRNN.Options: Sets the rnnMode option.
rnnMode(String) - Static method in class org.tensorflow.op.nn.CudnnRNN: Sets the rnnMode option.
rnnMode - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The rnnMode attribute
rnnMode(String) - Method in class org.tensorflow.op.nn.CudnnRNNBackprop.Options: Sets the rnnMode option.
rnnMode(String) - Static method in class org.tensorflow.op.nn.CudnnRNNBackprop: Sets the rnnMode option.
rnnMode - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The rnnMode attribute
rnnMode(String) - Method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Options: Sets the rnnMode option.
rnnMode(String) - Static method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: Sets the rnnMode option.
rnnMode - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The rnnMode attribute
rnnMode(String) - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize.Options: Sets the rnnMode option.
rnnMode(String) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize: Sets the rnnMode option.
rnnMode - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The rnnMode attribute
rnnMode(String) - Method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Options: Sets the rnnMode option.
rnnMode(String) - Static method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Sets the rnnMode option.
roiProbabilities() - Method in class org.tensorflow.op.image.GenerateBoundingBoxProposals: Gets roiProbabilities.
rois() - Method in class org.tensorflow.op.image.GenerateBoundingBoxProposals: Gets rois.
Roll<T extends TType> - Class in org.tensorflow.op.core: Rolls the elements of a tensor along an axis.
Roll(Operation) - Constructor for class org.tensorflow.op.core.Roll
roll(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.Ops: Rolls the elements of a tensor along an axis.
Roll.Inputs<T extends TType> - Class in org.tensorflow.op.core
Round<T extends TType> - Class in org.tensorflow.op.math: Rounds the values of a tensor to the nearest integer, element-wise.
Round(Operation) - Constructor for class org.tensorflow.op.math.Round
round(Operand<T>) - Method in class org.tensorflow.op.MathOps: Rounds the values of a tensor to the nearest integer, element-wise.
Round.Inputs<T extends TType> - Class in org.tensorflow.op.math
roundMode - Variable in class org.tensorflow.op.quantization.Quantize.Inputs: The roundMode attribute
roundMode(String) - Method in class org.tensorflow.op.quantization.Quantize.Options: Sets the roundMode option.
roundMode(String) - Static method in class org.tensorflow.op.quantization.Quantize: Sets the roundMode option.
roundMode - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: The 'round_mode' attribute controls which rounding tie-breaking algorithm is used when rounding float values to their quantized equivalents.
roundMode(String) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Options: Sets the roundMode option.
roundMode(String) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4: Sets the roundMode option.
ROW_PARTITION_SPEC_VALUE - Static variable in enum org.tensorflow.proto.framework.TypeSpecProto.TypeSpecClass: RowPartitionSpec from ragged/row_partition.py
rowPartitionTensors - Variable in class org.tensorflow.op.ragged.RaggedTensorToTensor.Inputs: The rowPartitionTensors input
rowPartitionTypes - Variable in class org.tensorflow.op.ragged.RaggedTensorToTensor.Inputs: The types of the row partition tensors.
rowPoolingSequence() - Method in class org.tensorflow.op.nn.FractionalAvgPool: Gets rowPoolingSequence.
rowPoolingSequence - Variable in class org.tensorflow.op.nn.FractionalAvgPoolGrad.Inputs: row pooling sequence, form pooling region with col_pooling_sequence.
rowPoolingSequence() - Method in class org.tensorflow.op.nn.FractionalMaxPool: Gets rowPoolingSequence.
rowPoolingSequence - Variable in class org.tensorflow.op.nn.FractionalMaxPoolGrad.Inputs: row pooling sequence, form pooling region with col_pooling_sequence.
rowPtrs() - Method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents: Gets rowPtrs.
rowRemapping - Variable in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Inputs: An int Tensor of row remappings (generally created by generate_vocab_remapping).
rowShape - Variable in class org.tensorflow.op.data.DenseToSparseBatchDataset.Inputs: A vector representing the dense shape of each row in the produced SparseTensor.
rowShape - Variable in class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset.Inputs: A vector representing the dense shape of each row in the produced SparseTensor.
rowSplits - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariantGradient.Inputs: Outermost row-splits that were used as input to the RaggedTensorToVariant op.
rowSplits() - Method in class org.tensorflow.op.strings.UnicodeDecode: Gets rowSplits.
rowSplits() - Method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets: Gets rowSplits.
RPC_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto
RPCOptions - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.RPCOptions
RPCOptions.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.RPCOptions
RPCOptionsOrBuilder - Interface in org.tensorflow.proto.framework
Rsqrt<T extends TType> - Class in org.tensorflow.op.math: Computes reciprocal of square root of x element-wise.
Rsqrt(Operation) - Constructor for class org.tensorflow.op.math.Rsqrt
rsqrt(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes reciprocal of square root of x element-wise.
Rsqrt.Inputs<T extends TType> - Class in org.tensorflow.op.math
RsqrtGrad<T extends TType> - Class in org.tensorflow.op.math: Computes the gradient for the rsqrt of x wrt its input.
RsqrtGrad(Operation) - Constructor for class org.tensorflow.op.math.RsqrtGrad
RsqrtGrad.Inputs<T extends TType> - Class in org.tensorflow.op.math
rtDenseValues() - Method in class org.tensorflow.op.ragged.RaggedRange: Gets rtDenseValues.
rtDenseValues - Variable in class org.tensorflow.op.ragged.RaggedTensorToSparse.Inputs: The flat_values for the RaggedTensor.
rtDenseValues - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariant.Inputs: A Tensor representing the values of the input RaggedTensor.
rtNestedSplits() - Method in class org.tensorflow.op.ragged.RaggedRange: Gets rtNestedSplits.
rtNestedSplits - Variable in class org.tensorflow.op.ragged.RaggedTensorToSparse.Inputs: The row_splits for the RaggedTensor.
rtNestedSplits - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariant.Inputs: A list of one or more Tensors representing the splits of the input RaggedTensor.
Rtype - Variable in class org.tensorflow.op.random.StatelessRandomPoisson.Inputs: The Rtype attribute
run(String) - Method in class org.tensorflow.Session: Executes an operation in the graph with the given name.
run(Op) - Method in class org.tensorflow.Session: Executes an operation in the graph.
run(Signature, Map<String, Tensor>) - Method in class org.tensorflow.Session: Create and call a function, returning the results.
Run() - Constructor for class org.tensorflow.Session.Run
run() - Method in class org.tensorflow.Session.Runner: Execute the graph fragments necessary to compute all requested fetches.
RUN_CONFIGURATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.TestResults
RUN_HANDLER_POOL_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RunOptions.Experimental
RUN_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
RUN_METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.TaggedRunMetadata
RUN_MODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.TestResults
run_options - Variable in class org.tensorflow.internal.c_api.AbstractTF_Session
RUN_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CallableOptions
RUN_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.TestResults
runAndFetchMetadata() - Method in class org.tensorflow.Session.Runner: Execute graph fragments to compute requested fetches and return metadata about the run.
RunConfiguration - Class in org.tensorflow.proto.util.testlog: Run-specific items such as arguments to the test / benchmark.
RunConfiguration.Builder - Class in org.tensorflow.proto.util.testlog: Run-specific items such as arguments to the test / benchmark.
RunConfigurationOrBuilder - Interface in org.tensorflow.proto.util.testlog
RunMetadata - Class in org.tensorflow.proto.framework: Metadata output (i.e., non-Tensor) for a single Run() call.
RunMetadata.Builder - Class in org.tensorflow.proto.framework: Metadata output (i.e., non-Tensor) for a single Run() call.
RunMetadata.FunctionGraphs - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.RunMetadata.FunctionGraphs
RunMetadata.FunctionGraphs.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.RunMetadata.FunctionGraphs
RunMetadata.FunctionGraphsOrBuilder - Interface in org.tensorflow.proto.framework
RunMetadataOrBuilder - Interface in org.tensorflow.proto.framework
runName - Variable in class org.tensorflow.op.summary.CreateSummaryDbWriter.Inputs: The runName input
runner() - Method in class org.tensorflow.Session: Create a Runner to execute graph operations and evaluate Tensors.
Runner() - Constructor for class org.tensorflow.Session.Runner
RunOptions - Class in org.tensorflow.proto.framework: Options for a single Run() call.
RunOptions.Builder - Class in org.tensorflow.proto.framework: Options for a single Run() call.
RunOptions.Experimental - Class in org.tensorflow.proto.framework: Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
RunOptions.Experimental.Builder - Class in org.tensorflow.proto.framework: Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
RunOptions.Experimental.RunHandlerPoolOptions - Class in org.tensorflow.proto.framework: Options for run handler thread pool.
RunOptions.Experimental.RunHandlerPoolOptions.Builder - Class in org.tensorflow.proto.framework: Options for run handler thread pool.
RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder - Interface in org.tensorflow.proto.framework
RunOptions.ExperimentalOrBuilder - Interface in org.tensorflow.proto.framework
RunOptions.TraceLevel - Enum in org.tensorflow.proto.framework: TODO(pbar) Turn this into a TraceOptions proto which allows tracing to be controlled in a more orthogonal manner?
RunOptionsOrBuilder - Interface in org.tensorflow.proto.framework

S

s() - Method in class org.tensorflow.op.linalg.BatchSvd: Gets s.
s() - Method in class org.tensorflow.op.linalg.Svd: Gets s.
S - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The S attribute
S - Variable in class org.tensorflow.op.random.RandomGamma.Inputs: The S attribute
S - Variable in class org.tensorflow.op.random.RandomPoisson.Inputs: The S attribute
S - Variable in class org.tensorflow.op.random.StatefulRandomBinomial.Inputs: The S attribute
S - Variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs: The S attribute
S - Variable in class org.tensorflow.op.random.StatelessRandomBinomial.Inputs: The S attribute
s() - Method in class org.tensorflow.op.xla.Svd: Gets s.
s0 - Variable in class org.tensorflow.op.core.BroadcastDynamicShape.Inputs: The s0 input
s0 - Variable in class org.tensorflow.op.core.BroadcastGradientArgs.Inputs: The s0 input
s1 - Variable in class org.tensorflow.op.core.BroadcastDynamicShape.Inputs: The s1 input
s1 - Variable in class org.tensorflow.op.core.BroadcastGradientArgs.Inputs: The s1 input
S_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AttrValue.ListValue
S_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AttrValue
S_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.FullTypeDef
salt - Variable in class org.tensorflow.op.sparse.SparseCrossHashed.Inputs: Specify the salt that will be used by the siphash function.
sample - Variable in class org.tensorflow.op.random.RandomGammaGrad.Inputs: The sample input
SAMPLE_RATE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.Summary.Audio
sampledCandidates - Variable in class org.tensorflow.op.nn.ComputeAccidentalHits.Inputs: The sampled_candidates output of CandidateSampler.
sampledCandidates() - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Gets sampledCandidates.
sampledCandidates() - Method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler: Gets sampledCandidates.
sampledCandidates() - Method in class org.tensorflow.op.random.AllCandidateSampler: Gets sampledCandidates.
sampledCandidates() - Method in class org.tensorflow.op.random.LogUniformCandidateSampler: Gets sampledCandidates.
sampledCandidates() - Method in class org.tensorflow.op.random.UniformCandidateSampler: Gets sampledCandidates.
sampledExpectedCount() - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Gets sampledExpectedCount.
sampledExpectedCount() - Method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler: Gets sampledExpectedCount.
sampledExpectedCount() - Method in class org.tensorflow.op.random.AllCandidateSampler: Gets sampledExpectedCount.
sampledExpectedCount() - Method in class org.tensorflow.op.random.LogUniformCandidateSampler: Gets sampledExpectedCount.
sampledExpectedCount() - Method in class org.tensorflow.op.random.UniformCandidateSampler: Gets sampledExpectedCount.
SampleDistortedBoundingBox<T extends TNumber> - Class in org.tensorflow.op.image: Generate a single randomly distorted bounding box for an image.
SampleDistortedBoundingBox(Operation) - Constructor for class org.tensorflow.op.image.SampleDistortedBoundingBox
sampleDistortedBoundingBox(Operand<T>, Operand<TFloat32>, Operand<TFloat32>, SampleDistortedBoundingBox.Options...) - Method in class org.tensorflow.op.ImageOps: Generate a single randomly distorted bounding box for an image.
SampleDistortedBoundingBox.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
SampleDistortedBoundingBox.Options - Class in org.tensorflow.op.image: Optional attributes for SampleDistortedBoundingBox
sampleIndices - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs: A list of rank 1 Tensors specifying the training example and feature to which the corresponding embedding_indices and aggregation_weights values belong.
sampleIndices - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: A list of rank 1 Tensors specifying the training example to which the corresponding embedding_indices and aggregation_weights values belong.
sampleRate() - Method in class org.tensorflow.op.audio.DecodeWav: Gets sampleRate.
sampleRate - Variable in class org.tensorflow.op.audio.EncodeWav.Inputs: Scalar containing the sample frequency.
sampleRate - Variable in class org.tensorflow.op.audio.Mfcc.Inputs: How many samples per second the source audio used.
sampleRate - Variable in class org.tensorflow.op.summary.AudioSummary.Inputs: The sample rate of the signal in hertz.
sampleRate - Variable in class org.tensorflow.op.summary.WriteAudioSummary.Inputs: The sampleRate input
samples() - Method in class org.tensorflow.op.cluster.KmeansPlusPlusInitialization: Gets samples.
samples() - Method in class org.tensorflow.op.math.SobolSample: Gets samples.
sampleSplits - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: A list of rank 1 Tensors specifying the break points for splitting embedding_indices and aggregation_weights into rows.
SamplingDataset - Class in org.tensorflow.op.data: Creates a dataset that takes a Bernoulli sample of the contents of another dataset.
SamplingDataset(Operation) - Constructor for class org.tensorflow.op.data.SamplingDataset
samplingDataset(Operand<? extends TType>, Operand<TFloat32>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Creates a dataset that takes a Bernoulli sample of the contents of another dataset.
SamplingDataset.Inputs - Class in org.tensorflow.op.data
sanitize - Variable in class org.tensorflow.op.core.DecodeProto.Inputs: Whether to sanitize the result or not.
sanitize(Boolean) - Method in class org.tensorflow.op.core.DecodeProto.Options: Sets the sanitize option.
sanitize(Boolean) - Static method in class org.tensorflow.op.core.DecodeProto: Sets the sanitize option.
Save - Class in org.tensorflow.op.train: Saves tensors in V2 checkpoint format.
Save(Operation) - Constructor for class org.tensorflow.op.train.Save
save(Operand<TString>, Operand<TString>, Operand<TString>, Iterable<Operand<?>>) - Method in class org.tensorflow.op.TrainOps: Saves tensors in V2 checkpoint format.
save(String) - Method in class org.tensorflow.Session: Saves the actual state of the variables of this session's graph.
save(String) - Method in class org.tensorflow.SessionFunction: Save this function using SavedModelBundle.
Save.Inputs - Class in org.tensorflow.op.train
SAVE_FUNCTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SaveableObject
SAVE_SLICE_INFO_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.VariableDef
SAVE_TENSOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.SaverDef
SAVEABLE_OBJECTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedObject
SaveableObject - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.SaveableObject
SaveableObject.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.SaveableObject
SaveableObjectOrBuilder - Interface in org.tensorflow.proto.framework
SAVED_MODEL_SCHEMA_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedModel
SavedAsset - Class in org.tensorflow.proto.framework: A SavedAsset points to an asset in the MetaGraph.
SavedAsset.Builder - Class in org.tensorflow.proto.framework: A SavedAsset points to an asset in the MetaGraph.
SavedAssetOrBuilder - Interface in org.tensorflow.proto.framework
SaveDataset - Class in org.tensorflow.op.data: The SaveDatasetV2 operation
SaveDataset(Operation) - Constructor for class org.tensorflow.op.data.SaveDataset
saveDataset(Operand<? extends TType>, Operand<TString>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, SaveDataset.Options...) - Method in class org.tensorflow.op.DataOps: The SaveDatasetV2 operation
SaveDataset.Inputs - Class in org.tensorflow.op.data
SaveDataset.Options - Class in org.tensorflow.op.data: Optional attributes for SaveDataset
SavedBareConcreteFunction - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.SavedBareConcreteFunction
SavedBareConcreteFunction.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.SavedBareConcreteFunction
SavedBareConcreteFunctionOrBuilder - Interface in org.tensorflow.proto.framework
SavedConcreteFunction - Class in org.tensorflow.proto.framework: Stores low-level information about a concrete function.
SavedConcreteFunction.Builder - Class in org.tensorflow.proto.framework: Stores low-level information about a concrete function.
SavedConcreteFunctionOrBuilder - Interface in org.tensorflow.proto.framework
SavedConstant - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.SavedConstant
SavedConstant.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.SavedConstant
SavedConstantOrBuilder - Interface in org.tensorflow.proto.framework
SavedFunction - Class in org.tensorflow.proto.framework: A function with multiple signatures, possibly with non-Tensor arguments.
SavedFunction.Builder - Class in org.tensorflow.proto.framework: A function with multiple signatures, possibly with non-Tensor arguments.
SavedFunctionOrBuilder - Interface in org.tensorflow.proto.framework
SavedModel - Class in org.tensorflow.proto.framework: SavedModel is the high level serialization format for TensorFlow Models.
SavedModel.Builder - Class in org.tensorflow.proto.framework: SavedModel is the high level serialization format for TensorFlow Models.
SavedModelBundle - Class in org.tensorflow: SavedModelBundle represents a model loaded from storage.
SavedModelBundle.Exporter - Class in org.tensorflow: Options for exporting a SavedModel.
SavedModelBundle.Loader - Class in org.tensorflow: Options for loading a SavedModel.
SavedModelOrBuilder - Interface in org.tensorflow.proto.framework
SavedModelProtos - Class in org.tensorflow.proto.framework
SavedObject - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.SavedObject
SavedObject.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.SavedObject
SavedObject.KindCase - Enum in org.tensorflow.proto.framework
SavedObjectGraph - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.SavedObjectGraph
SavedObjectGraph.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.SavedObjectGraph
SavedObjectGraphOrBuilder - Interface in org.tensorflow.proto.framework
SavedObjectGraphProtos - Class in org.tensorflow.proto.framework
SavedObjectOrBuilder - Interface in org.tensorflow.proto.framework
SavedResource - Class in org.tensorflow.proto.framework: A SavedResource represents a TF object that holds state during its lifetime.
SavedResource.Builder - Class in org.tensorflow.proto.framework: A SavedResource represents a TF object that holds state during its lifetime.
SavedResourceOrBuilder - Interface in org.tensorflow.proto.framework
SavedSlice - Class in org.tensorflow.proto.util: Saved tensor slice: it stores the name of the tensors, the slice, and the raw data.
SavedSlice.Builder - Class in org.tensorflow.proto.util: Saved tensor slice: it stores the name of the tensors, the slice, and the raw data.
SavedSliceMeta - Class in org.tensorflow.proto.util: Metadata describing the set of slices of the same tensor saved in a checkpoint file.
SavedSliceMeta.Builder - Class in org.tensorflow.proto.util: Metadata describing the set of slices of the same tensor saved in a checkpoint file.
SavedSliceMetaOrBuilder - Interface in org.tensorflow.proto.util
SavedSliceOrBuilder - Interface in org.tensorflow.proto.util
SavedTensorSliceMeta - Class in org.tensorflow.proto.util: Metadata describing the set of tensor slices saved in a checkpoint file.
SavedTensorSliceMeta.Builder - Class in org.tensorflow.proto.util: Metadata describing the set of tensor slices saved in a checkpoint file.
SavedTensorSliceMetaOrBuilder - Interface in org.tensorflow.proto.util
SavedTensorSliceProtos - Class in org.tensorflow.proto.util
SavedTensorSlices - Class in org.tensorflow.proto.util: Each record in a v3 checkpoint file is a serialized SavedTensorSlices message.
SavedTensorSlices.Builder - Class in org.tensorflow.proto.util: Each record in a v3 checkpoint file is a serialized SavedTensorSlices message.
SavedTensorSlicesOrBuilder - Interface in org.tensorflow.proto.util
SavedUserObject - Class in org.tensorflow.proto.framework: A SavedUserObject is an object (in the object-oriented language of the TensorFlow program) of some user- or framework-defined class other than those handled specifically by the other kinds of SavedObjects.
SavedUserObject.Builder - Class in org.tensorflow.proto.framework: A SavedUserObject is an object (in the object-oriented language of the TensorFlow program) of some user- or framework-defined class other than those handled specifically by the other kinds of SavedObjects.
SavedUserObjectOrBuilder - Interface in org.tensorflow.proto.framework
SavedVariable - Class in org.tensorflow.proto.framework: Represents a Variable that is initialized by loading the contents from the checkpoint.
SavedVariable.Builder - Class in org.tensorflow.proto.framework: Represents a Variable that is initialized by loading the contents from the checkpoint.
SavedVariableOrBuilder - Interface in org.tensorflow.proto.framework
SAVER_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MetaGraphDef
SaverDef - Class in org.tensorflow.proto.util: Protocol buffer representing the configuration of a Saver.
SaverDef.Builder - Class in org.tensorflow.proto.util: Protocol buffer representing the configuration of a Saver.
SaverDef.CheckpointFormatVersion - Enum in org.tensorflow.proto.util: A version number that identifies a different on-disk checkpoint format.
SaverDefOrBuilder - Interface in org.tensorflow.proto.util
SaverProtos - Class in org.tensorflow.proto.util
SaveSliceInfoDef - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.SaveSliceInfoDef
SaveSliceInfoDef.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.SaveSliceInfoDef
SaveSliceInfoDefOrBuilder - Interface in org.tensorflow.proto.framework
SaveSlices - Class in org.tensorflow.op.train: Saves input tensors slices to disk.
SaveSlices(Operation) - Constructor for class org.tensorflow.op.train.SaveSlices
saveSlices(Operand<TString>, Operand<TString>, Operand<TString>, Iterable<Operand<?>>) - Method in class org.tensorflow.op.TrainOps: Saves input tensors slices to disk.
SaveSlices.Inputs - Class in org.tensorflow.op.train
scalarOf(Scope, int) - Static method in class org.tensorflow.op.core.Constant: Creates a constant containing a single int element.
scalarOf(Scope, float) - Static method in class org.tensorflow.op.core.Constant: Creates a constant containing a single float element.
scalarOf(Scope, double) - Static method in class org.tensorflow.op.core.Constant: Creates a constant containing a single double element.
scalarOf(Scope, long) - Static method in class org.tensorflow.op.core.Constant: Creates a constant containing a single long element.
scalarOf(Scope, boolean) - Static method in class org.tensorflow.op.core.Constant: Creates a constant containing a single boolean element.
scalarOf(Scope, byte) - Static method in class org.tensorflow.op.core.Constant: Creates a constant containing a single byte element.
scalarOf(Scope, String) - Static method in class org.tensorflow.op.core.Constant: Creates a String constant using the default, UTF-8 encoding.
scalarOf(Scope, Charset, String) - Static method in class org.tensorflow.op.core.Constant: Creates a String constant using a specified encoding.
scalarOf(float) - Static method in interface org.tensorflow.types.TBfloat16: Allocates a new tensor for storing a single float value.
scalarOf(boolean) - Static method in interface org.tensorflow.types.TBool: Allocates a new tensor for storing a single boolean value.
scalarOf(float) - Static method in interface org.tensorflow.types.TFloat16: Allocates a new tensor for storing a single float value.
scalarOf(float) - Static method in interface org.tensorflow.types.TFloat32: Allocates a new tensor for storing a single float value.
scalarOf(double) - Static method in interface org.tensorflow.types.TFloat64: Allocates a new tensor for storing a single double value.
scalarOf(int) - Static method in interface org.tensorflow.types.TInt32: Allocates a new tensor for storing a single int value.
scalarOf(long) - Static method in interface org.tensorflow.types.TInt64: Allocates a new tensor for storing a single long value.
scalarOf(String) - Static method in interface org.tensorflow.types.TString: Allocates a new tensor for storing a string scalar.
scalarOf(byte) - Static method in interface org.tensorflow.types.TUint8: Allocates a new tensor for storing a single byte value.
ScalarSummary - Class in org.tensorflow.op.summary: Outputs a Summary protocol buffer with scalar values.
ScalarSummary(Operation) - Constructor for class org.tensorflow.op.summary.ScalarSummary
scalarSummary(Operand<TString>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.SummaryOps: Outputs a Summary protocol buffer with scalar values.
ScalarSummary.Inputs - Class in org.tensorflow.op.summary
scale - Variable in class org.tensorflow.op.image.AdjustSaturation.Inputs: A float scale to add to the saturation.
scale - Variable in class org.tensorflow.op.image.ScaleAndTranslate.Inputs: The scale input
scale - Variable in class org.tensorflow.op.image.ScaleAndTranslateGrad.Inputs: The scale input
scale - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: A 1D Tensor for scaling factor, to scale the normalized x.
scale - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: A 1D Tensor for scaling factor, to scale the normalized x.
scaleAfterNormalization - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization.Inputs: A bool indicating whether the resulted tensor needs to be multiplied with gamma.
scaleAfterNormalization - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad.Inputs: A bool indicating whether the resulted tensor needs to be multiplied with gamma.
scaleAfterNormalization - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: A bool indicating whether the resulted tensor needs to be multiplied with gamma.
ScaleAndTranslate - Class in org.tensorflow.op.image: The ScaleAndTranslate operation
ScaleAndTranslate(Operation) - Constructor for class org.tensorflow.op.image.ScaleAndTranslate
scaleAndTranslate(Operand<? extends TNumber>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, ScaleAndTranslate.Options...) - Method in class org.tensorflow.op.ImageOps: The ScaleAndTranslate operation
ScaleAndTranslate.Inputs - Class in org.tensorflow.op.image
ScaleAndTranslate.Options - Class in org.tensorflow.op.image: Optional attributes for ScaleAndTranslate
ScaleAndTranslateGrad<T extends TNumber> - Class in org.tensorflow.op.image: The ScaleAndTranslateGrad operation
ScaleAndTranslateGrad(Operation) - Constructor for class org.tensorflow.op.image.ScaleAndTranslateGrad
ScaleAndTranslateGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
ScaleAndTranslateGrad.Options - Class in org.tensorflow.op.image: Optional attributes for ScaleAndTranslateGrad
scaleBackprop() - Method in class org.tensorflow.op.nn.FusedBatchNormGrad: Gets scaleBackprop.
ScanDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset successively reduces f over the elements of input_dataset.
ScanDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.ScanDataset
ScanDataset - Class in org.tensorflow.op.data: Creates a dataset successively reduces f over the elements of input_dataset.
ScanDataset(Operation) - Constructor for class org.tensorflow.op.data.ScanDataset
scanDataset(Operand<? extends TType>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, ScanDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset successively reduces f over the elements of input_dataset.
ScanDataset.Inputs - Class in org.tensorflow.op.data.experimental
ScanDataset.Inputs - Class in org.tensorflow.op.data
ScanDataset.Options - Class in org.tensorflow.op.data.experimental: Optional attributes for ScanDataset
ScanDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ScanDataset
Scatter<T extends TType> - Class in org.tensorflow.op.xla: Wraps the XLA Scatter operator documented at https://www.tensorflow.org/xla/operation_semantics#scatter.
Scatter(Operation) - Constructor for class org.tensorflow.op.xla.Scatter
scatter(Operand<T>, Operand<? extends TNumber>, Operand<T>, ConcreteFunction, String, Boolean) - Method in class org.tensorflow.op.XlaOps: Wraps the XLA Scatter operator documented at https://www.tensorflow.org/xla/operation_semantics#scatter.
Scatter.Inputs<T extends TType> - Class in org.tensorflow.op.xla
ScatterAdd<T extends TType> - Class in org.tensorflow.op.core: Adds sparse updates to a variable reference.
ScatterAdd(Operation) - Constructor for class org.tensorflow.op.core.ScatterAdd
scatterAdd(Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterAdd.Options...) - Method in class org.tensorflow.op.Ops: Adds sparse updates to a variable reference.
ScatterAdd.Inputs<T extends TType> - Class in org.tensorflow.op.core
ScatterAdd.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterAdd
scatterDimension - Variable in class org.tensorflow.op.xla.ReduceScatter.Inputs: Dimension to scatter.
ScatterDiv<T extends TType> - Class in org.tensorflow.op.core: Divides a variable reference by sparse updates.
ScatterDiv(Operation) - Constructor for class org.tensorflow.op.core.ScatterDiv
scatterDiv(Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterDiv.Options...) - Method in class org.tensorflow.op.Ops: Divides a variable reference by sparse updates.
ScatterDiv.Inputs<T extends TType> - Class in org.tensorflow.op.core
ScatterDiv.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterDiv
scatterIndices - Variable in class org.tensorflow.op.xla.Scatter.Inputs: Array containing the starting indices of the slices that must be scattered to.
ScatterMax<T extends TNumber> - Class in org.tensorflow.op.core: Reduces sparse updates into a variable reference using the max operation.
ScatterMax(Operation) - Constructor for class org.tensorflow.op.core.ScatterMax
scatterMax(Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterMax.Options...) - Method in class org.tensorflow.op.Ops: Reduces sparse updates into a variable reference using the max operation.
ScatterMax.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
ScatterMax.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterMax
ScatterMin<T extends TNumber> - Class in org.tensorflow.op.core: Reduces sparse updates into a variable reference using the min operation.
ScatterMin(Operation) - Constructor for class org.tensorflow.op.core.ScatterMin
scatterMin(Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterMin.Options...) - Method in class org.tensorflow.op.Ops: Reduces sparse updates into a variable reference using the min operation.
ScatterMin.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
ScatterMin.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterMin
ScatterMul<T extends TType> - Class in org.tensorflow.op.core: Multiplies sparse updates into a variable reference.
ScatterMul(Operation) - Constructor for class org.tensorflow.op.core.ScatterMul
scatterMul(Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterMul.Options...) - Method in class org.tensorflow.op.Ops: Multiplies sparse updates into a variable reference.
ScatterMul.Inputs<T extends TType> - Class in org.tensorflow.op.core
ScatterMul.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterMul
ScatterNd - Class in org.tensorflow.op.core: Scatters updates into a tensor of shape shape according to indices.
ScatterNd(Operation) - Constructor for class org.tensorflow.op.core.ScatterNd
scatterNd(Operand<T>, Operand, Operand<T>) - Method in class org.tensorflow.op.Ops: Scatters updates into a tensor of shape shape according to indices.
ScatterNd.Inputs<T extends TNumber,U extends TType> - Class in org.tensorflow.op.core
ScatterNdAdd<T extends TType> - Class in org.tensorflow.op.core: Applies sparse addition to individual values or slices in a Variable.
ScatterNdAdd(Operation) - Constructor for class org.tensorflow.op.core.ScatterNdAdd
scatterNdAdd(Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterNdAdd.Options...) - Method in class org.tensorflow.op.Ops: Applies sparse addition to individual values or slices in a Variable.
ScatterNdAdd.Inputs<T extends TType> - Class in org.tensorflow.op.core
ScatterNdAdd.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterNdAdd
ScatterNdMax<T extends TType> - Class in org.tensorflow.op.core: Computes element-wise maximum.
ScatterNdMax(Operation) - Constructor for class org.tensorflow.op.core.ScatterNdMax
ScatterNdMax.Inputs<T extends TType> - Class in org.tensorflow.op.core
ScatterNdMax.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterNdMax
ScatterNdMin<T extends TType> - Class in org.tensorflow.op.core: Computes element-wise minimum.
ScatterNdMin(Operation) - Constructor for class org.tensorflow.op.core.ScatterNdMin
ScatterNdMin.Inputs<T extends TType> - Class in org.tensorflow.op.core
ScatterNdMin.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterNdMin
ScatterNdNonAliasingAdd<T extends TType> - Class in org.tensorflow.op.core: Applies sparse addition to input using individual values or slices from updates according to indices indices.
ScatterNdNonAliasingAdd(Operation) - Constructor for class org.tensorflow.op.core.ScatterNdNonAliasingAdd
scatterNdNonAliasingAdd(Operand<T>, Operand<? extends TNumber>, Operand<T>) - Method in class org.tensorflow.op.Ops: Applies sparse addition to input using individual values or slices from updates according to indices indices.
ScatterNdNonAliasingAdd.Inputs<T extends TType> - Class in org.tensorflow.op.core
ScatterNdSub<T extends TType> - Class in org.tensorflow.op.core: Applies sparse subtraction to individual values or slices in a Variable.
ScatterNdSub(Operation) - Constructor for class org.tensorflow.op.core.ScatterNdSub
scatterNdSub(Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterNdSub.Options...) - Method in class org.tensorflow.op.Ops: Applies sparse subtraction to individual values or slices in a Variable.
ScatterNdSub.Inputs<T extends TType> - Class in org.tensorflow.op.core
ScatterNdSub.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterNdSub
ScatterNdUpdate<T extends TType> - Class in org.tensorflow.op.core: Applies sparse updates to individual values or slices within a given variable according to indices.
ScatterNdUpdate(Operation) - Constructor for class org.tensorflow.op.core.ScatterNdUpdate
scatterNdUpdate(Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterNdUpdate.Options...) - Method in class org.tensorflow.op.Ops: Applies sparse updates to individual values or slices within a given variable according to indices.
ScatterNdUpdate.Inputs<T extends TType> - Class in org.tensorflow.op.core
ScatterNdUpdate.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterNdUpdate
ScatterSub<T extends TType> - Class in org.tensorflow.op.core: Subtracts sparse updates to a variable reference.
ScatterSub(Operation) - Constructor for class org.tensorflow.op.core.ScatterSub
scatterSub(Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterSub.Options...) - Method in class org.tensorflow.op.Ops: Subtracts sparse updates to a variable reference.
ScatterSub.Inputs<T extends TType> - Class in org.tensorflow.op.core
ScatterSub.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterSub
ScatterUpdate<T extends TType> - Class in org.tensorflow.op.core: Applies sparse updates to a variable reference.
ScatterUpdate(Operation) - Constructor for class org.tensorflow.op.core.ScatterUpdate
scatterUpdate(Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterUpdate.Options...) - Method in class org.tensorflow.op.Ops: Applies sparse updates to a variable reference.
ScatterUpdate.Inputs<T extends TType> - Class in org.tensorflow.op.core
ScatterUpdate.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterUpdate
SCHEDULED_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NodeExecStats
SCHEDULED_NANOS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NodeExecStats
SCHEDULING_HEURISTICS_VALUE - Static variable in enum org.tensorflow.proto.framework.RewriterConfig.MemOptType: Scheduling will split big ops such as AddN and try to enforce a schedule of the new computations that decreases peak memory usage.
scientific - Variable in class org.tensorflow.op.dtypes.AsString.Inputs: Use scientific notation for floating point numbers.
scientific(Boolean) - Method in class org.tensorflow.op.dtypes.AsString.Options: Sets the scientific option.
scientific(Boolean) - Static method in class org.tensorflow.op.dtypes.AsString: Sets the scientific option.
SCOMPLEX_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorProto
scope() - Method in class org.tensorflow.op.Ops: Returns the current scope of this API
Scope - Interface in org.tensorflow.op: Manages groups of related properties when creating Tensorflow Operations, such as a common name prefix.
SCOPED_ALLOCATOR_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
SCOPED_ALLOCATOR_OPTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
ScopedAllocatorOptions - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.ScopedAllocatorOptions
ScopedAllocatorOptions.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.ScopedAllocatorOptions
ScopedAllocatorOptionsOrBuilder - Interface in org.tensorflow.proto.framework
scores - Variable in class org.tensorflow.op.image.CombinedNonMaxSuppression.Inputs: A 3-D float tensor of shape [batch_size, num_boxes, num_classes] representing a single score corresponding to each box (each row of boxes).
scores - Variable in class org.tensorflow.op.image.GenerateBoundingBoxProposals.Inputs: A 4-D float tensor of shape [num_images, height, width, num_achors] containing scores of the boxes for given anchors, can be unsorted.
scores - Variable in class org.tensorflow.op.image.NonMaxSuppression.Inputs: A 1-D float tensor of shape [num_boxes] representing a single score corresponding to each box (each row of boxes).
scores - Variable in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps.Inputs: A 1-D float tensor of shape [num_boxes] representing a single score corresponding to each box (each row of boxes).
scoreThreshold - Variable in class org.tensorflow.op.image.CombinedNonMaxSuppression.Inputs: A 0-D float tensor representing the threshold for deciding when to remove boxes based on score.
scoreThreshold - Variable in class org.tensorflow.op.image.NonMaxSuppression.Inputs: A 0-D float tensor representing the threshold for deciding when to remove boxes based on score.
scoreThreshold - Variable in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps.Inputs: A 0-D float tensor representing the threshold for deciding when to remove boxes based on score.
SdcaFprint - Class in org.tensorflow.op.train: Computes fingerprints of the input strings.
SdcaFprint(Operation) - Constructor for class org.tensorflow.op.train.SdcaFprint
sdcaFprint(Operand<TString>) - Method in class org.tensorflow.op.TrainOps: Computes fingerprints of the input strings.
SdcaFprint.Inputs - Class in org.tensorflow.op.train
SdcaOptimizer - Class in org.tensorflow.op.train: Distributed version of Stochastic Dual Coordinate Ascent (SDCA) optimizer for linear models with L1 + L2 regularization.
SdcaOptimizer(Operation) - Constructor for class org.tensorflow.op.train.SdcaOptimizer
SdcaOptimizer.Inputs - Class in org.tensorflow.op.train
SdcaOptimizer.Options - Class in org.tensorflow.op.train: Optional attributes for SdcaOptimizer
SdcaShrinkL1 - Class in org.tensorflow.op.train: Applies L1 regularization shrink step on the parameters.
SdcaShrinkL1(Operation) - Constructor for class org.tensorflow.op.train.SdcaShrinkL1
sdcaShrinkL1(Iterable<Operand<TFloat32>>, Float, Float) - Method in class org.tensorflow.op.TrainOps: Applies L1 regularization shrink step on the parameters.
SdcaShrinkL1.Inputs - Class in org.tensorflow.op.train
second() - Method in class org.tensorflow.internal.c_api.NameMap.Iterator
seed - Variable in class org.tensorflow.op.cluster.KMC2ChainInitialization.Inputs: Scalar.
seed - Variable in class org.tensorflow.op.cluster.KmeansPlusPlusInitialization.Inputs: Scalar.
seed - Variable in class org.tensorflow.op.data.experimental.RandomDataset.Inputs: A scalar seed for the random number generator.
seed - Variable in class org.tensorflow.op.data.RandomDataset.Inputs: A scalar seed for the random number generator.
seed - Variable in class org.tensorflow.op.data.SamplingDataset.Inputs: A scalar representing seed of random number generator.
seed - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The seed input
seed - Variable in class org.tensorflow.op.data.ShuffleDataset.Inputs: The seed input
seed - Variable in class org.tensorflow.op.image.RandomCrop.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed(Long) - Method in class org.tensorflow.op.image.RandomCrop.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.image.RandomCrop: Sets the seed option.
seed - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: If either `seed` or `seed2` are set to non-zero, the random number generator is seeded by the given `seed`.
seed(Long) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Sets the seed option.
seed - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: 1-D with shape [2].
seed - Variable in class org.tensorflow.op.io.RandomShuffleQueue.Inputs: If either seed or seed2 is set to be non-zero, the random number generator is seeded by the given seed.
seed(Long) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.io.RandomShuffleQueue: Sets the seed option.
seed - Variable in class org.tensorflow.op.nn.ComputeAccidentalHits.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed(Long) - Method in class org.tensorflow.op.nn.ComputeAccidentalHits.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.ComputeAccidentalHits: Sets the seed option.
seed - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The seed attribute
seed(Long) - Method in class org.tensorflow.op.nn.CudnnRNN.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.CudnnRNN: Sets the seed option.
seed - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The seed attribute
seed(Long) - Method in class org.tensorflow.op.nn.CudnnRNNBackprop.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.CudnnRNNBackprop: Sets the seed option.
seed - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The seed attribute
seed(Long) - Method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: Sets the seed option.
seed - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The seed attribute
seed(Long) - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize: Sets the seed option.
seed - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The seed attribute
seed(Long) - Method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Sets the seed option.
seed - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed(Long) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Sets the seed option.
seed - Variable in class org.tensorflow.op.nn.FractionalAvgPool.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed(Long) - Method in class org.tensorflow.op.nn.FractionalAvgPool.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.FractionalAvgPool: Sets the seed option.
seed - Variable in class org.tensorflow.op.nn.FractionalMaxPool.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed(Long) - Method in class org.tensorflow.op.nn.FractionalMaxPool.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.FractionalMaxPool: Sets the seed option.
seed - Variable in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed(Long) - Method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler: Sets the seed option.
seed - Variable in class org.tensorflow.op.random.AllCandidateSampler.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed(Long) - Method in class org.tensorflow.op.random.AllCandidateSampler.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.AllCandidateSampler: Sets the seed option.
seed - Variable in class org.tensorflow.op.random.AnonymousRandomSeedGenerator.Inputs: The seed input
seed - Variable in class org.tensorflow.op.random.AnonymousSeedGenerator.Inputs: The seed input
seed - Variable in class org.tensorflow.op.random.LogUniformCandidateSampler.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed(Long) - Method in class org.tensorflow.op.random.LogUniformCandidateSampler.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.LogUniformCandidateSampler: Sets the seed option.
seed - Variable in class org.tensorflow.op.random.Multinomial.Inputs: If either seed or seed2 is set to be non-zero, the internal random number generator is seeded by the given seed.
seed(Long) - Method in class org.tensorflow.op.random.Multinomial.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.Multinomial: Sets the seed option.
seed - Variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs: If either `seed` or `seed2` are set to be non-zero, the random number generator is seeded by the given seed.
seed(Long) - Method in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.ParameterizedTruncatedNormal: Sets the seed option.
seed - Variable in class org.tensorflow.op.random.RandomGamma.Inputs: If either `seed` or `seed2` are set to be non-zero, the random number generator is seeded by the given seed.
seed(Long) - Method in class org.tensorflow.op.random.RandomGamma.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.RandomGamma: Sets the seed option.
seed - Variable in class org.tensorflow.op.random.RandomPoisson.Inputs: If either `seed` or `seed2` are set to be non-zero, the random number generator is seeded by the given seed.
seed(Long) - Method in class org.tensorflow.op.random.RandomPoisson.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.RandomPoisson: Sets the seed option.
seed - Variable in class org.tensorflow.op.random.RandomShuffle.Inputs: If either `seed` or `seed2` are set to be non-zero, the random number generator is seeded by the given seed.
seed(Long) - Method in class org.tensorflow.op.random.RandomShuffle.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.RandomShuffle: Sets the seed option.
seed - Variable in class org.tensorflow.op.random.RandomStandardNormal.Inputs: If either `seed` or `seed2` are set to be non-zero, the random number generator is seeded by the given seed.
seed(Long) - Method in class org.tensorflow.op.random.RandomStandardNormal.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.RandomStandardNormal: Sets the seed option.
seed - Variable in class org.tensorflow.op.random.RandomUniform.Inputs: If either `seed` or `seed2` are set to be non-zero, the random number generator is seeded by the given seed.
seed(Long) - Method in class org.tensorflow.op.random.RandomUniform.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.RandomUniform: Sets the seed option.
seed - Variable in class org.tensorflow.op.random.RandomUniformInt.Inputs: If either `seed` or `seed2` are set to be non-zero, the random number generator is seeded by the given seed.
seed(Long) - Method in class org.tensorflow.op.random.RandomUniformInt.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.RandomUniformInt: Sets the seed option.
seed - Variable in class org.tensorflow.op.random.StatelessMultinomial.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessRandomBinomial.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessRandomGamma.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessRandomGetKeyCounter.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessRandomGetKeyCounterAlg.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessRandomNormal.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessRandomPoisson.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessRandomUniform.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullInt.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessRandomUniformInt.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessTruncatedNormal.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.TruncatedNormal.Inputs: If either `seed` or `seed2` are set to be non-zero, the random number generator is seeded by the given seed.
seed(Long) - Method in class org.tensorflow.op.random.TruncatedNormal.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.TruncatedNormal: Sets the seed option.
seed - Variable in class org.tensorflow.op.random.UniformCandidateSampler.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed(Long) - Method in class org.tensorflow.op.random.UniformCandidateSampler.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.UniformCandidateSampler: Sets the seed option.
seed - Variable in class org.tensorflow.op.risc.RiscRandomUniform.Inputs: The seed attribute
seed(Long) - Method in class org.tensorflow.op.risc.RiscRandomUniform.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.risc.RiscRandomUniform: Sets the seed option.
seed2 - Variable in class org.tensorflow.op.data.experimental.RandomDataset.Inputs: A second scalar seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.data.RandomDataset.Inputs: A second scalar seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.data.SamplingDataset.Inputs: A scalar representing seed2 of random number generator.
seed2 - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The seed2 input
seed2 - Variable in class org.tensorflow.op.data.ShuffleDataset.Inputs: The seed2 input
seed2 - Variable in class org.tensorflow.op.image.RandomCrop.Inputs: An second seed to avoid seed collision.
seed2(Long) - Method in class org.tensorflow.op.image.RandomCrop.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.image.RandomCrop: Sets the seed2 option.
seed2 - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: A second seed to avoid seed collision.
seed2(Long) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Sets the seed2 option.
seed2 - Variable in class org.tensorflow.op.io.RandomShuffleQueue.Inputs: A second seed to avoid seed collision.
seed2(Long) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.io.RandomShuffleQueue: Sets the seed2 option.
seed2 - Variable in class org.tensorflow.op.nn.ComputeAccidentalHits.Inputs: An second seed to avoid seed collision.
seed2(Long) - Method in class org.tensorflow.op.nn.ComputeAccidentalHits.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.ComputeAccidentalHits: Sets the seed2 option.
seed2 - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The seed2 attribute
seed2(Long) - Method in class org.tensorflow.op.nn.CudnnRNN.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.CudnnRNN: Sets the seed2 option.
seed2 - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The seed2 attribute
seed2(Long) - Method in class org.tensorflow.op.nn.CudnnRNNBackprop.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.CudnnRNNBackprop: Sets the seed2 option.
seed2 - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The seed2 attribute
seed2(Long) - Method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: Sets the seed2 option.
seed2 - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The seed2 attribute
seed2(Long) - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize: Sets the seed2 option.
seed2 - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The seed2 attribute
seed2(Long) - Method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Sets the seed2 option.
seed2 - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: An second seed to avoid seed collision.
seed2(Long) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Sets the seed2 option.
seed2 - Variable in class org.tensorflow.op.nn.FractionalAvgPool.Inputs: An second seed to avoid seed collision.
seed2(Long) - Method in class org.tensorflow.op.nn.FractionalAvgPool.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.FractionalAvgPool: Sets the seed2 option.
seed2 - Variable in class org.tensorflow.op.nn.FractionalMaxPool.Inputs: An second seed to avoid seed collision.
seed2(Long) - Method in class org.tensorflow.op.nn.FractionalMaxPool.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.FractionalMaxPool: Sets the seed2 option.
seed2 - Variable in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Inputs: An second seed to avoid seed collision.
seed2(Long) - Method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler: Sets the seed2 option.
seed2 - Variable in class org.tensorflow.op.random.AllCandidateSampler.Inputs: An second seed to avoid seed collision.
seed2(Long) - Method in class org.tensorflow.op.random.AllCandidateSampler.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.AllCandidateSampler: Sets the seed2 option.
seed2 - Variable in class org.tensorflow.op.random.AnonymousRandomSeedGenerator.Inputs: The seed2 input
seed2 - Variable in class org.tensorflow.op.random.AnonymousSeedGenerator.Inputs: The seed2 input
seed2 - Variable in class org.tensorflow.op.random.LogUniformCandidateSampler.Inputs: An second seed to avoid seed collision.
seed2(Long) - Method in class org.tensorflow.op.random.LogUniformCandidateSampler.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.LogUniformCandidateSampler: Sets the seed2 option.
seed2 - Variable in class org.tensorflow.op.random.Multinomial.Inputs: A second seed to avoid seed collision.
seed2(Long) - Method in class org.tensorflow.op.random.Multinomial.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.Multinomial: Sets the seed2 option.
seed2 - Variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs: A second seed to avoid seed collision.
seed2(Long) - Method in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.ParameterizedTruncatedNormal: Sets the seed2 option.
seed2 - Variable in class org.tensorflow.op.random.RandomGamma.Inputs: A second seed to avoid seed collision.
seed2(Long) - Method in class org.tensorflow.op.random.RandomGamma.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.RandomGamma: Sets the seed2 option.
seed2 - Variable in class org.tensorflow.op.random.RandomPoisson.Inputs: A second seed to avoid seed collision.
seed2(Long) - Method in class org.tensorflow.op.random.RandomPoisson.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.RandomPoisson: Sets the seed2 option.
seed2 - Variable in class org.tensorflow.op.random.RandomShuffle.Inputs: A second seed to avoid seed collision.
seed2(Long) - Method in class org.tensorflow.op.random.RandomShuffle.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.RandomShuffle: Sets the seed2 option.
seed2 - Variable in class org.tensorflow.op.random.RandomStandardNormal.Inputs: A second seed to avoid seed collision.
seed2(Long) - Method in class org.tensorflow.op.random.RandomStandardNormal.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.RandomStandardNormal: Sets the seed2 option.
seed2 - Variable in class org.tensorflow.op.random.RandomUniform.Inputs: A second seed to avoid seed collision.
seed2(Long) - Method in class org.tensorflow.op.random.RandomUniform.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.RandomUniform: Sets the seed2 option.
seed2 - Variable in class org.tensorflow.op.random.RandomUniformInt.Inputs: A second seed to avoid seed collision.
seed2(Long) - Method in class org.tensorflow.op.random.RandomUniformInt.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.RandomUniformInt: Sets the seed2 option.
seed2 - Variable in class org.tensorflow.op.random.TruncatedNormal.Inputs: A second seed to avoid seed collision.
seed2(Long) - Method in class org.tensorflow.op.random.TruncatedNormal.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.TruncatedNormal: Sets the seed2 option.
seed2 - Variable in class org.tensorflow.op.random.UniformCandidateSampler.Inputs: An second seed to avoid seed collision.
seed2(Long) - Method in class org.tensorflow.op.random.UniformCandidateSampler.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.UniformCandidateSampler: Sets the seed2 option.
seedGenerator - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The seedGenerator input
seedGenerator - Variable in class org.tensorflow.op.data.ShuffleDataset.Inputs: The seedGenerator input
segmentIds - Variable in class org.tensorflow.op.math.SegmentMax.Inputs: A 1-D tensor whose size is equal to the size of data's first dimension.
segmentIds - Variable in class org.tensorflow.op.math.SegmentMean.Inputs: A 1-D tensor whose size is equal to the size of data's first dimension.
segmentIds - Variable in class org.tensorflow.op.math.SegmentMin.Inputs: A 1-D tensor whose size is equal to the size of data's first dimension.
segmentIds - Variable in class org.tensorflow.op.math.SegmentProd.Inputs: A 1-D tensor whose size is equal to the size of data's first dimension.
segmentIds - Variable in class org.tensorflow.op.math.SegmentSum.Inputs: A 1-D tensor whose size is equal to the size of data's first dimension.
segmentIds - Variable in class org.tensorflow.op.math.UnsortedSegmentMax.Inputs: A tensor whose shape is a prefix of data.shape.
segmentIds - Variable in class org.tensorflow.op.math.UnsortedSegmentMin.Inputs: A tensor whose shape is a prefix of data.shape.
segmentIds - Variable in class org.tensorflow.op.math.UnsortedSegmentProd.Inputs: A tensor whose shape is a prefix of data.shape.
segmentIds - Variable in class org.tensorflow.op.math.UnsortedSegmentSum.Inputs: A tensor whose shape is a prefix of data.shape.
segmentIds - Variable in class org.tensorflow.op.sparse.SparseSegmentMean.Inputs: A 1-D tensor.
segmentIds - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanGrad.Inputs: segment_ids passed to the corresponding SparseSegmentMean op.
segmentIds - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs: A 1-D tensor.
segmentIds - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtN.Inputs: A 1-D tensor.
segmentIds - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad.Inputs: segment_ids passed to the corresponding SparseSegmentSqrtN op.
segmentIds - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs: A 1-D tensor.
segmentIds - Variable in class org.tensorflow.op.sparse.SparseSegmentSum.Inputs: A 1-D tensor.
segmentIds - Variable in class org.tensorflow.op.sparse.SparseSegmentSumGrad.Inputs: segment_ids passed to the corresponding SparseSegmentSum op.
segmentIds - Variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs: A 1-D tensor.
segmentIds - Variable in class org.tensorflow.op.strings.UnsortedSegmentJoin.Inputs: A tensor whose shape is a prefix of data.shape.
SegmentMax<T extends TNumber> - Class in org.tensorflow.op.math: Computes the maximum along segments of a tensor.
SegmentMax(Operation) - Constructor for class org.tensorflow.op.math.SegmentMax
segmentMax(Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Computes the maximum along segments of a tensor.
SegmentMax.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
SegmentMean<T extends TType> - Class in org.tensorflow.op.math: Computes the mean along segments of a tensor.
SegmentMean(Operation) - Constructor for class org.tensorflow.op.math.SegmentMean
segmentMean(Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Computes the mean along segments of a tensor.
SegmentMean.Inputs<T extends TType> - Class in org.tensorflow.op.math
SegmentMin<T extends TNumber> - Class in org.tensorflow.op.math: Computes the minimum along segments of a tensor.
SegmentMin(Operation) - Constructor for class org.tensorflow.op.math.SegmentMin
segmentMin(Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Computes the minimum along segments of a tensor.
SegmentMin.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
SegmentProd<T extends TType> - Class in org.tensorflow.op.math: Computes the product along segments of a tensor.
SegmentProd(Operation) - Constructor for class org.tensorflow.op.math.SegmentProd
segmentProd(Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Computes the product along segments of a tensor.
SegmentProd.Inputs<T extends TType> - Class in org.tensorflow.op.math
segments() - Method in class org.tensorflow.op.nn.IsotonicRegression: Gets segments.
SegmentSum<T extends TType> - Class in org.tensorflow.op.math: Computes the sum along segments of a tensor.
SegmentSum(Operation) - Constructor for class org.tensorflow.op.math.SegmentSum
segmentSum(Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Computes the sum along segments of a tensor.
SegmentSum.Inputs<T extends TType> - Class in org.tensorflow.op.math
Select<T extends TType> - Class in org.tensorflow.op.core: The SelectV2 operation
Select(Operation) - Constructor for class org.tensorflow.op.core.Select
select(Operand<TBool>, Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops: The SelectV2 operation
Select.Inputs<T extends TType> - Class in org.tensorflow.op.core
SelectAndScatter<T extends TType> - Class in org.tensorflow.op.xla: Wraps the XLA SelectAndScatter operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#selectandscatter .
SelectAndScatter(Operation) - Constructor for class org.tensorflow.op.xla.SelectAndScatter
selectAndScatter(Operand<T>, Operand, Operand, Operand, Operand<T>, Operand<T>, ConcreteFunction, ConcreteFunction) - Method in class org.tensorflow.op.XlaOps: Wraps the XLA SelectAndScatter operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#selectandscatter .
SelectAndScatter.Inputs<T extends TType,U extends TNumber> - Class in org.tensorflow.op.xla
selectCols - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The selectCols input
selectCols - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The selectCols input
selectCols - Variable in class org.tensorflow.op.io.DecodeCsv.Inputs: The selectCols attribute
selectCols(List<Long>) - Method in class org.tensorflow.op.io.DecodeCsv.Options: Sets the selectCols option.
selectCols(Long...) - Method in class org.tensorflow.op.io.DecodeCsv.Options: Sets the selectCols option.
selectCols(List<Long>) - Static method in class org.tensorflow.op.io.DecodeCsv: Sets the selectCols option.
selectCols(Long...) - Static method in class org.tensorflow.op.io.DecodeCsv: Sets the selectCols option.
selectedIndices() - Method in class org.tensorflow.op.image.NonMaxSuppression: Gets selectedIndices.
selectedIndices() - Method in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps: Gets selectedIndices.
selectedScores() - Method in class org.tensorflow.op.image.NonMaxSuppression: Gets selectedScores.
selectorInputDataset - Variable in class org.tensorflow.op.data.DirectedInterleaveDataset.Inputs: A dataset of scalar DT_INT64 elements that determines which of the N data inputs should produce the next output element.
selectorInputDataset - Variable in class org.tensorflow.op.data.experimental.DirectedInterleaveDataset.Inputs: A dataset of scalar DT_INT64 elements that determines which of the N data inputs should produce the next output element.
SelfAdjointEig<T extends TType> - Class in org.tensorflow.op.linalg: Computes the eigen decomposition of one or more square self-adjoint matrices.
SelfAdjointEig(Operation) - Constructor for class org.tensorflow.op.linalg.SelfAdjointEig
selfAdjointEig(Operand<T>, SelfAdjointEig.Options...) - Method in class org.tensorflow.op.LinalgOps: Computes the eigen decomposition of one or more square self-adjoint matrices.
SelfAdjointEig<T extends TType> - Class in org.tensorflow.op.xla: Computes the eigen decomposition of a batch of self-adjoint matrices (Note: Only real inputs are supported).
SelfAdjointEig(Operation) - Constructor for class org.tensorflow.op.xla.SelfAdjointEig
selfAdjointEig(Operand<T>, Boolean, Long, Float) - Method in class org.tensorflow.op.XlaOps: Computes the eigen decomposition of a batch of self-adjoint matrices (Note: Only real inputs are supported).
SelfAdjointEig.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
SelfAdjointEig.Inputs<T extends TType> - Class in org.tensorflow.op.xla
SelfAdjointEig.Options - Class in org.tensorflow.op.linalg: Optional attributes for SelfAdjointEig
Selu<T extends TNumber> - Class in org.tensorflow.op.nn: Computes scaled exponential linear: scale * alpha * (exp(features) - 1) if < 0, scale * features otherwise.
Selu(Operation) - Constructor for class org.tensorflow.op.nn.Selu
selu(Operand<T>) - Method in class org.tensorflow.op.NnOps: Computes scaled exponential linear: scale * alpha * (exp(features) - 1) if < 0, scale * features otherwise.
Selu.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
SeluGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes gradients for the scaled exponential linear (Selu) operation.
SeluGrad(Operation) - Constructor for class org.tensorflow.op.nn.SeluGrad
SeluGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
Send - Class in org.tensorflow.op.core: Sends the named tensor from send_device to recv_device.
Send(Operation) - Constructor for class org.tensorflow.op.core.Send
Send - Class in org.tensorflow.op.xla: Sends the named tensor to another XLA computation.
Send(Operation) - Constructor for class org.tensorflow.op.xla.Send
send(Operand<? extends TType>, String) - Method in class org.tensorflow.op.XlaOps: Sends the named tensor to another XLA computation.
Send.Inputs - Class in org.tensorflow.op.core
Send.Inputs - Class in org.tensorflow.op.xla
Send.Options - Class in org.tensorflow.op.core: Optional attributes for Send
sendDevice - Variable in class org.tensorflow.op.core.Recv.Inputs: The name of the device sending the tensor.
sendDevice - Variable in class org.tensorflow.op.core.Send.Inputs: The name of the device sending the tensor.
sendDeviceIncarnation - Variable in class org.tensorflow.op.core.Recv.Inputs: The current incarnation of send_device.
sendDeviceIncarnation - Variable in class org.tensorflow.op.core.Send.Inputs: The current incarnation of send_device.
sendKey - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: The sendKey attribute
sendKey(String) - Method in class org.tensorflow.op.xla.XlaHostCompute.Options: Sets the sendKey option.
sendKey(String) - Static method in class org.tensorflow.op.xla.XlaHostCompute: Sets the sendKey option.
SendTPUEmbeddingGradients - Class in org.tensorflow.op.tpu: Performs gradient updates of embedding tables.
SendTPUEmbeddingGradients(Operation) - Constructor for class org.tensorflow.op.tpu.SendTPUEmbeddingGradients
SendTPUEmbeddingGradients.Inputs - Class in org.tensorflow.op.tpu
SendTPUEmbeddingGradients.Options - Class in org.tensorflow.op.tpu: Optional attributes for SendTPUEmbeddingGradients
sep - Variable in class org.tensorflow.op.sparse.SparseCross.Inputs: string used when joining a list of string inputs, can be used as separator later.
sep - Variable in class org.tensorflow.op.strings.StringSplit.Inputs: 0-D string Tensor, the delimiter character.
separator - Variable in class org.tensorflow.op.strings.Join.Inputs: string, an optional join separator.
separator(String) - Method in class org.tensorflow.op.strings.Join.Options: Sets the separator option.
separator(String) - Static method in class org.tensorflow.op.strings.Join: Sets the separator option.
separator - Variable in class org.tensorflow.op.strings.ReduceJoin.Inputs: The separator to use when joining.
separator(String) - Method in class org.tensorflow.op.strings.ReduceJoin.Options: Sets the separator option.
separator(String) - Static method in class org.tensorflow.op.strings.ReduceJoin: Sets the separator option.
separator - Variable in class org.tensorflow.op.strings.StringNGrams.Inputs: The string to append between elements of the token.
separator - Variable in class org.tensorflow.op.strings.UnsortedSegmentJoin.Inputs: The separator to use when joining.
separator(String) - Method in class org.tensorflow.op.strings.UnsortedSegmentJoin.Options: Sets the separator option.
separator(String) - Static method in class org.tensorflow.op.strings.UnsortedSegmentJoin: Sets the separator option.
seqDim - Variable in class org.tensorflow.op.core.ReverseSequence.Inputs: The dimension which is partially reversed.
seqLengths - Variable in class org.tensorflow.op.core.ReverseSequence.Inputs: 1-D with length input.dims(batch_dim) and max(seq_lengths) <= input.dims(seq_dim)
seqLenMax - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: Maximum time length actually used by this input.
seqLenMax - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: Maximum time length actually used by this input.
SequenceExample - Class in org.tensorflow.proto.example: Protobuf type tensorflow.SequenceExample
SequenceExample.Builder - Class in org.tensorflow.proto.example: Protobuf type tensorflow.SequenceExample
SequenceExampleOrBuilder - Interface in org.tensorflow.proto.example
sequenceLength - Variable in class org.tensorflow.op.nn.CtcBeamSearchDecoder.Inputs: A vector containing sequence lengths, size (batch).
sequenceLength - Variable in class org.tensorflow.op.nn.CtcGreedyDecoder.Inputs: A vector containing sequence lengths, size (batch_size).
sequenceLength - Variable in class org.tensorflow.op.nn.CtcLoss.Inputs: A vector containing sequence lengths (batch).
sequenceLength - Variable in class org.tensorflow.op.nn.CTCLossV2.Inputs: A vector containing sequence lengths (batch).
sequenceLengths - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The sequenceLengths input
sequenceLengths - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The sequenceLengths input
SERIAL_IDENTIFIER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.MachineConfiguration
serialized - Variable in class org.tensorflow.op.data.DeserializeIterator.Inputs: A variant tensor storing the state of the iterator contained in the resource.
serialized() - Method in class org.tensorflow.op.data.SerializeIterator: Gets serialized.
serialized - Variable in class org.tensorflow.op.io.ParseExample.Inputs: A scalar or vector containing binary serialized Example protos.
serialized - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: A scalar or vector containing binary serialized SequenceExample protos.
serialized - Variable in class org.tensorflow.op.io.ParseSingleExample.Inputs: A vector containing a batch of binary serialized Example protos.
serialized - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A scalar containing a binary serialized SequenceExample proto.
serialized - Variable in class org.tensorflow.op.io.ParseTensor.Inputs: A scalar string containing a serialized TensorProto proto.
serialized() - Method in class org.tensorflow.op.io.SerializeTensor: Gets serialized.
SERIALIZED_USER_PROTO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedObject
serializedOptions() - Method in class org.tensorflow.op.core.GetOptions: Gets serializedOptions.
serializedOptions - Variable in class org.tensorflow.op.data.OptionsDataset.Inputs: A `tf.string` scalar `tf.Tensor` of serialized `tf.data.Options` protocol buffer.
serializedSparse - Variable in class org.tensorflow.op.io.DeserializeManySparse.Inputs: 2-D, The N serialized SparseTensor objects.
serializedSparse() - Method in class org.tensorflow.op.io.SerializeManySparse: Gets serializedSparse.
serializedSparse() - Method in class org.tensorflow.op.io.SerializeSparse: Gets serializedSparse.
serializedSparse - Variable in class org.tensorflow.op.sparse.DeserializeSparse.Inputs: The serialized SparseTensor objects.
serializedSummaryMetadata - Variable in class org.tensorflow.op.summary.TensorSummary.Inputs: A serialized SummaryMetadata proto.
SerializeIterator - Class in org.tensorflow.op.data: Converts the given resource_handle representing an iterator to a variant tensor.
SerializeIterator(Operation) - Constructor for class org.tensorflow.op.data.SerializeIterator
serializeIterator(Operand<? extends TType>, SerializeIterator.Options...) - Method in class org.tensorflow.op.DataOps: Converts the given resource_handle representing an iterator to a variant tensor.
SerializeIterator.Inputs - Class in org.tensorflow.op.data
SerializeIterator.Options - Class in org.tensorflow.op.data: Optional attributes for SerializeIterator
SerializeManySparse - Class in org.tensorflow.op.io: Serialize an N-minibatch SparseTensor into an [N, 3] Tensor object.
SerializeManySparse(Operation) - Constructor for class org.tensorflow.op.io.SerializeManySparse
serializeManySparse(Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>) - Method in class org.tensorflow.op.IoOps: Serialize an N-minibatch SparseTensor into an [N, 3] Tensor object.
serializeManySparse(Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>, Class) - Method in class org.tensorflow.op.IoOps: Serialize an N-minibatch SparseTensor into an [N, 3] Tensor object.
SerializeManySparse.Inputs - Class in org.tensorflow.op.io
SerializeSparse - Class in org.tensorflow.op.io: Serialize a SparseTensor into a [3] Tensor object.
SerializeSparse(Operation) - Constructor for class org.tensorflow.op.io.SerializeSparse
serializeSparse(Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>) - Method in class org.tensorflow.op.IoOps: Serialize a SparseTensor into a [3] Tensor object.
serializeSparse(Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>, Class) - Method in class org.tensorflow.op.IoOps: Serialize a SparseTensor into a [3] Tensor object.
SerializeSparse.Inputs - Class in org.tensorflow.op.io
SerializeTensor - Class in org.tensorflow.op.io: Transforms a Tensor into a serialized TensorProto proto.
SerializeTensor(Operation) - Constructor for class org.tensorflow.op.io.SerializeTensor
serializeTensor(Operand<? extends TType>) - Method in class org.tensorflow.op.IoOps: Transforms a Tensor into a serialized TensorProto proto.
SerializeTensor.Inputs - Class in org.tensorflow.op.io
Server - Class in org.tensorflow: An in-process TensorFlow server, for use in distributed training.
Server(ServerDef) - Constructor for class org.tensorflow.Server: Constructs a new instance of server.
ServerDef - Class in org.tensorflow.proto.distruntime: Defines the configuration of a single TensorFlow server.
ServerDef.Builder - Class in org.tensorflow.proto.distruntime: Defines the configuration of a single TensorFlow server.
ServerDefOrBuilder - Interface in org.tensorflow.proto.distruntime
ServerProtos - Class in org.tensorflow.proto.distruntime
SERVICE_ADDRESSES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
ServiceConfig - Class in org.tensorflow.proto.data.experimental
ServiceConfig.DispatcherConfig - Class in org.tensorflow.proto.data.experimental: Configuration for a tf.data service DispatchServer.
ServiceConfig.DispatcherConfig.Builder - Class in org.tensorflow.proto.data.experimental: Configuration for a tf.data service DispatchServer.
ServiceConfig.DispatcherConfigOrBuilder - Interface in org.tensorflow.proto.data.experimental
ServiceConfig.WorkerConfig - Class in org.tensorflow.proto.data.experimental: Configuration for a tf.data service WorkerServer.
ServiceConfig.WorkerConfig.Builder - Class in org.tensorflow.proto.data.experimental: Configuration for a tf.data service WorkerServer.
ServiceConfig.WorkerConfigOrBuilder - Interface in org.tensorflow.proto.data.experimental
session() - Method in class org.tensorflow.SavedModelBundle: Returns the Session with which to perform computation using the model.
Session - Class in org.tensorflow: Driver for Graph execution.
Session(Graph) - Constructor for class org.tensorflow.Session: Construct a new session with the associated Graph.
Session(Graph, ConfigProto) - Constructor for class org.tensorflow.Session: Construct a new session with the associated Graph and configuration options.
Session(Graph, boolean) - Constructor for class org.tensorflow.Session: Construct and optionally initialize a new session with the associated Graph.
Session(Graph, boolean, ConfigProto) - Constructor for class org.tensorflow.Session: Construct and optionally initialize a new session with the associated Graph and configuration options.
session() - Method in class org.tensorflow.SessionFunction
Session.Run - Class in org.tensorflow: Output tensors and metadata obtained when executing a session.
Session.Runner - Class in org.tensorflow: Run Operations and evaluate Tensors.
SESSION_CREATION_TIMESTAMP_NS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
SESSION_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpInfo
SESSION_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpPerformance
SESSION_INTER_OP_THREAD_POOL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto
SESSION_LOG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.Event
SESSION_METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto.Experimental
SessionFunction - Class in org.tensorflow: A callable function backed by a session.
SessionFunction(Signature, Session) - Constructor for class org.tensorflow.SessionFunction
SessionInfo - Class in org.tensorflow.proto.framework: Description of the session when an op is run.
SessionInfo.Builder - Class in org.tensorflow.proto.framework: Description of the session when an op is run.
SessionInfoOrBuilder - Interface in org.tensorflow.proto.framework
SessionLog - Class in org.tensorflow.proto.util: Protocol buffer used for logging session state.
SessionLog.Builder - Class in org.tensorflow.proto.util: Protocol buffer used for logging session state.
SessionLog.SessionStatus - Enum in org.tensorflow.proto.util: Protobuf enum tensorflow.SessionLog.SessionStatus
SessionLogOrBuilder - Interface in org.tensorflow.proto.util
SessionMetadata - Class in org.tensorflow.proto.framework: Metadata about the session.
SessionMetadata.Builder - Class in org.tensorflow.proto.framework: Metadata about the session.
SessionMetadataOrBuilder - Interface in org.tensorflow.proto.framework
set1 - Variable in class org.tensorflow.op.sparse.DenseToDenseSetOperation.Inputs: Tensor with rank n.
set1 - Variable in class org.tensorflow.op.sparse.DenseToSparseSetOperation.Inputs: Tensor with rank n.
set1Indices - Variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs: 2D Tensor, indices of a SparseTensor.
set1Shape - Variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs: 1D Tensor, shape of a SparseTensor.
set1Values - Variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs: 1D Tensor, values of a SparseTensor.
set2 - Variable in class org.tensorflow.op.sparse.DenseToDenseSetOperation.Inputs: Tensor with rank n.
set2Indices - Variable in class org.tensorflow.op.sparse.DenseToSparseSetOperation.Inputs: 2D Tensor, indices of a SparseTensor.
set2Indices - Variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs: 2D Tensor, indices of a SparseTensor.
set2Shape - Variable in class org.tensorflow.op.sparse.DenseToSparseSetOperation.Inputs: 1D Tensor, shape of a SparseTensor.
set2Shape - Variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs: 1D Tensor, shape of a SparseTensor.
set2Values - Variable in class org.tensorflow.op.sparse.DenseToSparseSetOperation.Inputs: 1D Tensor, values of a SparseTensor.
set2Values - Variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs: 1D Tensor, values of a SparseTensor.
set_assigned_device_name(BytePointer) - Method in class org.tensorflow.internal.c_api.Node
set_assigned_device_name(String) - Method in class org.tensorflow.internal.c_api.Node
set_assigned_device_name_index(int) - Method in class org.tensorflow.internal.c_api.Node
set_name(BytePointer) - Method in class org.tensorflow.internal.c_api.Node
set_name(String) - Method in class org.tensorflow.internal.c_api.Node
set_requested_device(BytePointer) - Method in class org.tensorflow.internal.c_api.Node
set_requested_device(String) - Method in class org.tensorflow.internal.c_api.Node
Set_TF_Status_from_Status(TF_Status, NativeStatus) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
setActionCount(long) - Method in class org.tensorflow.proto.util.MemChunk.Builder: uint64 action_count = 7;
setActionCount(long) - Method in class org.tensorflow.proto.util.SnapShot.Builder: uint64 action_count = 1;
setAddress(long) - Method in class org.tensorflow.proto.util.MemChunk.Builder: uint64 address = 1;
setAggregation(VariableAggregation) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: .tensorflow.VariableAggregation aggregation = 5;
setAggregation(VariableAggregation) - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Indicates how a distributed variable will be aggregated.
setAggregationValue(int) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: .tensorflow.VariableAggregation aggregation = 5;
setAggregationValue(int) - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Indicates how a distributed variable will be aggregated.
setAlgorithm(AutotuneAlgorithm) - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder: Algorithm used for autotuning optimization.
setAlgorithmValue(int) - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder: Algorithm used for autotuning optimization.
setAliasInputPort(long) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder: If >= 0, the output is an alias of an input.
setAllEndRelMicros(long) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 all_end_rel_micros = 5;
setAllEndRelNanos(long) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 all_end_rel_nanos = 16;
setAllocatedBytes(long) - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder: Total number of bytes allocated if known
setAllocationDescription(AllocationDescription) - Method in class org.tensorflow.proto.framework.TensorDescription.Builder: Information about the size and allocator used for the data
setAllocationDescription(AllocationDescription.Builder) - Method in class org.tensorflow.proto.framework.TensorDescription.Builder: Information about the size and allocator used for the data
setAllocationId(long) - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder: Identifier of the allocated buffer if known
setAllocationId(long) - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder: Id of the tensor buffer being allocated, used to match to a corresponding deallocation.
setAllocationId(long) - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
setAllocationId(long) - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation.Builder: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
setAllocationRecords(int, AllocationRecord) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
setAllocationRecords(int, AllocationRecord.Builder) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
setAllocatorBytesInUse(long) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: These are snapshots of the overall allocator memory stats.
setAllocatorName(String) - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder: Name of the allocator used
setAllocatorName(String) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: string allocator_name = 1;
setAllocatorName(String) - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder: Name of the allocator used.
setAllocatorName(String) - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder: Name of the allocator used.
setAllocatorName(String) - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation.Builder: Name of the allocator used.
setAllocatorName(String) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: string allocator_name = 1;
setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder: Name of the allocator used
setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: string allocator_name = 1;
setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder: Name of the allocator used.
setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder: Name of the allocator used.
setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation.Builder: Name of the allocator used.
setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: string allocator_name = 1;
setAllocatorType(String) - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: The type of GPU allocation strategy to use.
setAllocatorTypeBytes(ByteString) - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: The type of GPU allocation strategy to use.
setAllocBytes(long) - Method in class org.tensorflow.proto.framework.AllocationRecord.Builder: Number of bytes allocated, or de-allocated if negative.
setAllocMicros(long) - Method in class org.tensorflow.proto.framework.AllocationRecord.Builder: The timestamp of the operation.
setAllowedPositionalArguments(long) - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder: The prefix of `argument_keywords` which may be identified by position.
setAllowedValues(AttrValue) - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder: A list of values that this kernel supports for this attr.
setAllowedValues(AttrValue.Builder) - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder: A list of values that this kernel supports for this attr.
setAllowedValues(AttrValue) - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: The set of allowed values.
setAllowedValues(AttrValue.Builder) - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: The set of allowed values.
setAllowGrowth(boolean) - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.
setAllowSoftPlacement(boolean) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Whether soft placement is allowed.
setAllowsUninitializedInput(boolean) - Method in class org.tensorflow.proto.framework.OpDef.Builder: By default, all inputs to an Op must be initialized Tensors.
setAllStartMicros(long) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 all_start_micros = 2;
setAllStartNanos(long) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 all_start_nanos = 13;
setAnyInfo(Any) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: A serialized protobuf.
setAnyInfo(Any.Builder) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: A serialized protobuf.
setAnyList(CollectionDef.AnyList) - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.AnyList any_list = 5;
setAnyList(CollectionDef.AnyList.Builder) - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.AnyList any_list = 5;
setApplyDefaultOptimizations(boolean) - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder: bool apply_default_optimizations = 1;
setArgOrder(int, String) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: List of original in_arg names to specify new argument order.
setArgs(int, FullTypeDef) - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
setArgs(int, FullTypeDef.Builder) - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
setArgument(int, String) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder: repeated string argument = 1;
setArgumentKeywords(int, String) - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder: A sequence of unique strings, one per Tensor argument.
setArithmeticOptimization(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Arithmetic optimizations (default is ON) e.g.
setArithmeticOptimizationValue(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Arithmetic optimizations (default is ON) e.g.
setAsset(SavedAsset) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedAsset asset = 5;
setAsset(SavedAsset.Builder) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedAsset asset = 5;
setAssetFileDef(int, AssetFileDef) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
setAssetFileDef(int, AssetFileDef.Builder) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
setAssetFileDefIndex(int) - Method in class org.tensorflow.proto.framework.SavedAsset.Builder: Index into `MetaGraphDef.asset_file_def[]` that describes the Asset.
setAttr(String, String) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, byte[]) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, long) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, long[]) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, float) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, float[]) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, boolean) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, boolean[]) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, DataType) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, DataType[]) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, Tensor) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, Tensor[]) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, Shape) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, Shape[]) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, String[]) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, ConcreteFunction) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, ConcreteFunction[]) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, AttrValue) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, String[]) - Method in interface org.tensorflow.OperationBuilder: Set the string values of an attribute of the operation being built.
setAttr(String, String) - Method in interface org.tensorflow.OperationBuilder: Set the string value of an attribute of the operation being built.
setAttr(String, byte[]) - Method in interface org.tensorflow.OperationBuilder: Set the byte values of an attribute of the operation being built.
setAttr(String, long) - Method in interface org.tensorflow.OperationBuilder: Set the long value of an attribute of the operation being built.
setAttr(String, long[]) - Method in interface org.tensorflow.OperationBuilder: Set the long values of an attribute of the operation being built.
setAttr(String, float) - Method in interface org.tensorflow.OperationBuilder: Set the float value of an attribute of the operation being built.
setAttr(String, float[]) - Method in interface org.tensorflow.OperationBuilder: Set the float values of an attribute of the operation being built.
setAttr(String, boolean) - Method in interface org.tensorflow.OperationBuilder: Set the boolean value of an attribute of the operation being built.
setAttr(String, boolean[]) - Method in interface org.tensorflow.OperationBuilder: Set the boolean values of an attribute of the operation being built.
setAttr(String, DataType) - Method in interface org.tensorflow.OperationBuilder: Set the type value of an attribute of the operation being built.
setAttr(String, DataType[]) - Method in interface org.tensorflow.OperationBuilder: Set the type values of an attribute of the operation being built.
setAttr(String, Tensor) - Method in interface org.tensorflow.OperationBuilder: Set the tensor value of an attribute of the operation being built.
setAttr(String, Tensor[]) - Method in interface org.tensorflow.OperationBuilder: Set the tensor values of an attribute of the operation being built.
setAttr(String, Shape) - Method in interface org.tensorflow.OperationBuilder: Set the shape value of an attribute of the operation being built.
setAttr(String, Shape[]) - Method in interface org.tensorflow.OperationBuilder: Set the shape values of an attribute of the operation being built.
setAttr(String, ConcreteFunction) - Method in interface org.tensorflow.OperationBuilder: Set the function value of an attribute of the operation being built.
setAttr(String, ConcreteFunction[]) - Method in interface org.tensorflow.OperationBuilder: Set the function values of an attribute of the operation being built.
setAttr(String, AttrValue) - Method in interface org.tensorflow.OperationBuilder: Set value of an attribute of the operation being built.
setAttr(int, ApiDef.Attr) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
setAttr(int, ApiDef.Attr.Builder) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
setAttr(int, OpDef.AttrDef) - Method in class org.tensorflow.proto.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
setAttr(int, OpDef.AttrDef.Builder) - Method in class org.tensorflow.proto.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
setAttributes(int, TrackableObjectGraph.TrackableObject.SerializedTensor) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
setAttributes(int, TrackableObjectGraph.TrackableObject.SerializedTensor.Builder) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
setAudio(Summary.Audio) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.Summary.Audio audio = 6;
setAudio(Summary.Audio.Builder) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.Summary.Audio audio = 6;
setAutoMixedPrecision(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Optimize data types for CUDA (default is OFF).
setAutoMixedPrecisionMkl(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Optimize data types for MKL (default is OFF).
setAutoMixedPrecisionMklValue(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Optimize data types for MKL (default is OFF).
setAutoMixedPrecisionValue(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Optimize data types for CUDA (default is OFF).
setAutoParallel(AutoParallelOptions) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
setAutoParallel(AutoParallelOptions.Builder) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
setAutoShardPolicy(AutoShardPolicy) - Method in class org.tensorflow.proto.data.DistributeOptions.Builder: .tensorflow.data.AutoShardPolicy auto_shard_policy = 1;
setAutoShardPolicyValue(int) - Method in class org.tensorflow.proto.data.DistributeOptions.Builder: .tensorflow.data.AutoShardPolicy auto_shard_policy = 1;
setAutotune(boolean) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: An indication whether autotuning is enabled for this node.
setAutotuneOptions(AutotuneOptions) - Method in class org.tensorflow.proto.data.Options.Builder: The distribution strategy options associated with the dataset.
setAutotuneOptions(AutotuneOptions.Builder) - Method in class org.tensorflow.proto.data.Options.Builder: The distribution strategy options associated with the dataset.
setAvailable(long) - Method in class org.tensorflow.proto.util.testlog.MemoryInfo.Builder: Immediately available memory in bytes
setAvailableDeviceInfo(int, AvailableDeviceInfo) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Devices accessible to the test (e.g.
setAvailableDeviceInfo(int, AvailableDeviceInfo.Builder) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Devices accessible to the test (e.g.
setB(boolean) - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "bool"
setB(int, boolean) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(bool)"
setBackProp(boolean) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Whether backprop is enabled for this while loop.
setBadConsumers(int, int) - Method in class org.tensorflow.proto.framework.VersionDef.Builder: Specific consumer versions which are disallowed (e.g.
setBandwidth(long) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Memory bandwidth in KB/s
setBareConcreteFunction(SavedBareConcreteFunction) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
setBareConcreteFunction(SavedBareConcreteFunction.Builder) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
setBenchmarkType(TestResults.BenchmarkType) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: .tensorflow.TestResults.BenchmarkType benchmark_type = 10;
setBenchmarkTypeValue(int) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: .tensorflow.TestResults.BenchmarkType benchmark_type = 10;
setBin(int) - Method in class org.tensorflow.proto.util.BinSummary.Builder: int32 bin = 1;
setBin(int) - Method in class org.tensorflow.proto.util.MemChunk.Builder: int32 bin = 4;
setBinSummary(int, BinSummary) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
setBinSummary(int, BinSummary.Builder) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
setBits(String) - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
setBitsBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
setBoolVal(int, boolean) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_BOOL
setBoolValue(boolean) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a boolean value.
setBoundedTensorSpecValue(BoundedTensorSpecProto) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a value for tf.BoundedTensorSpec.
setBoundedTensorSpecValue(BoundedTensorSpecProto.Builder) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a value for tf.BoundedTensorSpec.
setBoundInputs(int, int) - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder: repeated int32 bound_inputs = 2;
setBranch(int) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Branch prediction.
setBucket(int, double) - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: repeated double bucket = 7 [packed = true];
setBucketLimit(int, double) - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: Parallel arrays encoding the bucket boundaries and the bucket values.
setBufferedBytes(long) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: The number of bytes stored in this node's buffer.
setBufferedElements(long) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: The number of elements stored in this node's buffer.
setBuildConfiguration(BuildConfiguration) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The configuration of the build (compiled opt? with cuda? any copts?)
setBuildConfiguration(BuildConfiguration.Builder) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The configuration of the build (compiled opt? with cuda? any copts?)
setBuildCostModel(long) - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph.
setBuildCostModelAfter(long) - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: The number of steps to skip before collecting statistics for the cost model.
setBusId(int) - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder: Optional bus locality of device.
setBusId(String) - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder: e.g.
setBusIdBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder: e.g.
setBytes(long) - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder: Byte size of the file.
setBytesConsumed(long) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: The number of bytes consumed by the node.
setBytesInUse(long) - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder: int64 bytes_in_use = 2;
setBytesList(BytesList) - Method in class org.tensorflow.proto.example.Feature.Builder: .tensorflow.BytesList bytes_list = 1;
setBytesList(BytesList.Builder) - Method in class org.tensorflow.proto.example.Feature.Builder: .tensorflow.BytesList bytes_list = 1;
setBytesList(CollectionDef.BytesList) - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
setBytesList(CollectionDef.BytesList.Builder) - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
setBytesProduced(long) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: The number of bytes produced by the node.
setBytesValue(ByteString) - Method in class org.tensorflow.proto.profiler.XStat.Builder: bytes bytes_value = 6;
setCacheRpcResponse(boolean) - Method in class org.tensorflow.proto.framework.RPCOptions.Builder: Setting cache_rpc_response to true will enable sender side caching of response for RecvTensorAsync and RecvBufAsync to allow receiver to retry requests .
setCancelOpName(String) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: The operation to run to cancel the queue.
setCancelOpNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: The operation to run to cancel the queue.
setCanonicalizedInputSignature(StructuredValue) - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder: Input in canonicalized form that was received to create this concrete function.
setCanonicalizedInputSignature(StructuredValue.Builder) - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder: Input in canonicalized form that was received to create this concrete function.
setCapturedTensor(CapturedTensor) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.CapturedTensor captured_tensor = 12;
setCapturedTensor(CapturedTensor.Builder) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.CapturedTensor captured_tensor = 12;
setCcFlags(int, String) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder: CC compiler flags, if known
setChangelist(long) - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder: Submitted changelist.
setCheckpointKey(String) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: The generated name of the Tensor in the checkpoint.
setCheckpointKeyBytes(ByteString) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: The generated name of the Tensor in the checkpoint.
setCheckpointPath(String) - Method in class org.tensorflow.proto.util.SessionLog.Builder: This checkpoint_path contains both the path and filename.
setCheckpointPathBytes(ByteString) - Method in class org.tensorflow.proto.util.SessionLog.Builder: This checkpoint_path contains both the path and filename.
setChildId(int, long) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: XPlane.event_metadata map key for children events.
setChildren(int, TrackableObjectGraph.TrackableObject.ObjectReference) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
setChildren(int, TrackableObjectGraph.TrackableObject.ObjectReference.Builder) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
setChildren(int, TrackableObjectGraph.TrackableObject.ObjectReference) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
setChildren(int, TrackableObjectGraph.TrackableObject.ObjectReference.Builder) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
setChunk(int, MemChunk) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
setChunk(int, MemChunk.Builder) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
setClientTimeoutMs(long) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: How long to wait before garbage-collecting a client that hasn't heartbeated to the dispatcher.
setCloseOpName(String) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: The operation to run to close the queue.
setCloseOpNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: The operation to run to close the queue.
setCluster(ClusterDef) - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The cluster of which this server is a member.
setCluster(ClusterDef.Builder) - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The cluster of which this server is a member.
setClusterDef(ClusterDef) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Optional list of all workers to use in this session.
setClusterDef(ClusterDef.Builder) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Optional list of all workers to use in this session.
setClusterDeviceFilters(ClusterDeviceFilters) - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: Device filters for remote tasks in the cluster.
setClusterDeviceFilters(ClusterDeviceFilters.Builder) - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: Device filters for remote tasks in the cluster.
setCode(String) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder: Source code contained in this file line.
setCodeBytes(ByteString) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder: Source code contained in this file line.
setCodeLocation(CodeLocation) - Method in class org.tensorflow.proto.util.Execution.Builder: Stack trace of the eager execution.
setCodeLocation(CodeLocation.Builder) - Method in class org.tensorflow.proto.util.Execution.Builder: Stack trace of the eager execution.
setCodeLocation(CodeLocation) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: The unique ID for code location (stack trace) of the op's creation.
setCodeLocation(CodeLocation.Builder) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: The unique ID for code location (stack trace) of the op's creation.
setCol(int) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder: Col number in the file line.
setCollectiveDeterministicSequentialExecution(boolean) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: If true, make collective op execution order sequential and deterministic for potentially concurrent collective instances.
setCollectiveGraphKey(long) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder: If non-zero, declares that this graph is going to use collective ops and must synchronize step_ids with any other graph with this same group_key value (in a distributed computation where tasks run disjoint graphs).
setCollectiveGroupLeader(String) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Task name for group resolution.
setCollectiveGroupLeaderBytes(ByteString) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Task name for group resolution.
setCollectiveNccl(boolean) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: If true, use NCCL for CollectiveOps.
setCollectiveRingOrder(String) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: If non-empty, defines a good GPU ring order on a single worker based on device interconnect.
setCollectiveRingOrderBytes(ByteString) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: If non-empty, defines a good GPU ring order on a single worker based on device interconnect.
setColorspace(int) - Method in class org.tensorflow.proto.framework.Summary.Image.Builder: Valid colorspace values are 1 - grayscale 2 - grayscale + alpha 3 - RGB 4 - RGBA 5 - DIGITAL_YUV 6 - BGRA
setCommitId(CommitId) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The commit id (git hash or changelist)
setCommitId(CommitId.Builder) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The commit id (git hash or changelist)
setCommonSubgraphElimination(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Common subgraph elimination (default is ON) e.g.
setCommonSubgraphEliminationValue(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Common subgraph elimination (default is ON) e.g.
setComponents(int, TensorInfo) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
setComponents(int, TensorInfo.Builder) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
setCompositeTensor(TensorInfo.CompositeTensor) - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: Generic encoding for CompositeTensors.
setCompositeTensor(TensorInfo.CompositeTensor.Builder) - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: Generic encoding for CompositeTensors.
setCompressionAlgorithm(String) - Method in class org.tensorflow.proto.framework.RPCOptions.Builder: The compression algorithm to be used.
setCompressionAlgorithmBytes(ByteString) - Method in class org.tensorflow.proto.framework.RPCOptions.Builder: The compression algorithm to be used.
setCompressionLevel(int) - Method in class org.tensorflow.proto.framework.RPCOptions.Builder: If compression_algorithm is set, the compression level to be used.
setComputeCost(long) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Estimate of the computational cost of this node, in microseconds.
setComputeCost(long) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: Time it takes to run the op (in nanoseconds).
setComputeEfficiency(double) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: Percentage of theoretical compute performance.
setComputeTime(long) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Analytical estimate of the computational cost of this node, in microseconds.
setComputeTime(long) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: Analytical compute cost (in nanoseconds).
setConcreteFunction(String) - Method in class org.tensorflow.proto.framework.CapturedTensor.Builder: Name of concrete function which contains the computed graph tensor.
setConcreteFunctionBytes(ByteString) - Method in class org.tensorflow.proto.framework.CapturedTensor.Builder: Name of concrete function which contains the computed graph tensor.
setConcreteFunctionName(String) - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder: Identifies a SavedConcreteFunction.
setConcreteFunctionNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder: Identifies a SavedConcreteFunction.
setConcreteFunctions(int, String) - Method in class org.tensorflow.proto.framework.SavedFunction.Builder: repeated string concrete_functions = 1;
setCondCtxt(CondContextDef) - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder: .tensorflow.CondContextDef cond_ctxt = 1;
setCondCtxt(CondContextDef.Builder) - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder: .tensorflow.CondContextDef cond_ctxt = 1;
setConstant(SavedConstant) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedConstant constant = 9;
setConstant(SavedConstant.Builder) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedConstant constant = 9;
setConstantFolding(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
setConstantFoldingValue(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
setConstNodeInfo(int, GraphTransferConstNodeInfo) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
setConstNodeInfo(int, GraphTransferConstNodeInfo.Builder) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
setConstraint(int, KernelDef.AttrConstraint) - Method in class org.tensorflow.proto.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
setConstraint(int, KernelDef.AttrConstraint.Builder) - Method in class org.tensorflow.proto.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
setContainer(String) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Container in which this resource is placed.
setContainerBytes(ByteString) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Container in which this resource is placed.
setContent(ByteString) - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData.Builder: The content to store for the plugin.
setContentType(String) - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder: string content_type = 5;
setContentTypeBytes(ByteString) - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder: string content_type = 5;
setContext(Features) - Method in class org.tensorflow.proto.example.SequenceExample.Builder: .tensorflow.Features context = 1;
setContext(Features.Builder) - Method in class org.tensorflow.proto.example.SequenceExample.Builder: .tensorflow.Features context = 1;
setContextName(String) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Name of the context.
setContextName(String) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Name of the context.
setContextNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Name of the context.
setContextNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Name of the context.
setControlInput(int, int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Ids of the control inputs for this node.
setControlOutput(int, String) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Named control outputs for this operation.
setCoordinationService(String) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Distributed coordination service to be enabled if set.
setCoordinationServiceBytes(ByteString) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Distributed coordination service to be enabled if set.
setCooSparse(TensorInfo.CooSparse) - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
setCooSparse(TensorInfo.CooSparse.Builder) - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
setCost(float) - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost.Builder: Aggregated cost value.
setCost(int, CostGraphDef.AggregatedCost) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
setCost(int, CostGraphDef.AggregatedCost.Builder) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
setCostGraph(CostGraphDef) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: The cost graph for the computation defined by the run call.
setCostGraph(CostGraphDef.Builder) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: The cost graph for the computation defined by the run call.
setCpuBudget(int) - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder: int32 cpu_budget = 2;
setCpuBudget(long) - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder: Number of available logical threads.
setCpuGlobalJit(boolean) - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder: CPU code will be autoclustered only if global_jit_level >= ON_1 and either: - this flag is true, or - TF_XLA_FLAGS contains --tf_xla_cpu_global_jit=true.
setCpuGovernor(String) - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder: What kind of cpu scaling is enabled on the host.
setCpuGovernorBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder: What kind of cpu scaling is enabled on the host.
setCpuInfo(String) - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder: Additional cpu information.
setCpuInfo(CPUInfo) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: CPU Information.
setCpuInfo(CPUInfo.Builder) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: CPU Information.
setCpuInfoBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder: Additional cpu information.
setCpuLayoutConversion(RewriterConfig.CpuLayout) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: CPU Conversion settings between NHCW and NCHW.
setCpuLayoutConversionValue(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: CPU Conversion settings between NHCW and NCHW.
setCpuTime(double) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Total cpu time used for all iterations (in seconds)
setCrc32C(int) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: The CRC32C checksum of the tensor bytes.
setCreationTimestamp(long) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: Time when we started creating this snapshot.
setCurrentWork(ByteString) - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder: bytes current_work = 4;
setCustomOptimizers(int, RewriterConfig.CustomGraphOptimizer) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
setCustomOptimizers(int, RewriterConfig.CustomGraphOptimizer.Builder) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
setData(ByteString) - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder: bytes data = 4;
setData(TensorProto) - Method in class org.tensorflow.proto.util.SavedSlice.Builder: The raw data of the slice is stored as a TensorProto.
setData(TensorProto.Builder) - Method in class org.tensorflow.proto.util.SavedSlice.Builder: The raw data of the slice is stored as a TensorProto.
setData(SavedSlice) - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder: This exists in all but the first item of each checkpoint file.
setData(SavedSlice.Builder) - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder: This exists in all but the first item of each checkpoint file.
setDataClass(DataClass) - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder: Class of data stored in this time series.
setDataClassValue(int) - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder: Class of data stored in this time series.
setDataTransferAddress(String) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The data transfer address of the worker server.
setDataTransferAddressBytes(ByteString) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The data transfer address of the worker server.
setDataTransferProtocol(String) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The protocol for the worker to use when transferring data to clients.
setDataTransferProtocolBytes(ByteString) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The protocol for the worker to use when transferring data to clients.
setDcomplexVal(int, double) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_COMPLEX128.
setDebuggedDevice(DebuggedDevice) - Method in class org.tensorflow.proto.util.DebugEvent.Builder: A device on which debugger-instrumented ops and/or tensors reside.
setDebuggedDevice(DebuggedDevice.Builder) - Method in class org.tensorflow.proto.util.DebugEvent.Builder: A device on which debugger-instrumented ops and/or tensors reside.
setDebuggedGraph(DebuggedGraph) - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Information about a debugged graph.
setDebuggedGraph(DebuggedGraph.Builder) - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Information about a debugged graph.
setDebugMetadata(DebugMetadata) - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Metadata related to this debugging data.
setDebugMetadata(DebugMetadata.Builder) - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Metadata related to this debugging data.
setDebugOps(int, String) - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: Name(s) of the debugging op(s).
setDebugOptions(DebugOptions) - Method in class org.tensorflow.proto.framework.RunOptions.Builder: EXPERIMENTAL.
setDebugOptions(DebugOptions.Builder) - Method in class org.tensorflow.proto.framework.RunOptions.Builder: EXPERIMENTAL.
setDebugStripper(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Strips debug-related nodes from the graph (off by default).
setDebugStripperValue(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Strips debug-related nodes from the graph (off by default).
setDebugTensorWatchOpts(int, DebugTensorWatch) - Method in class org.tensorflow.proto.framework.DebugOptions.Builder: Debugging options
setDebugTensorWatchOpts(int, DebugTensorWatch.Builder) - Method in class org.tensorflow.proto.framework.DebugOptions.Builder: Debugging options
setDebugUrls(int, String) - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: URL(s) for debug targets(s).
setDefaultSessionConfig(ConfigProto) - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The default configuration for sessions that run on this server.
setDefaultSessionConfig(ConfigProto.Builder) - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The default configuration for sessions that run on this server.
setDefaultValue(TensorProto) - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder: .tensorflow.TensorProto default_value = 3;
setDefaultValue(TensorProto.Builder) - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder: .tensorflow.TensorProto default_value = 3;
setDefaultValue(AttrValue) - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder: Specify a new default value to use for this attr.
setDefaultValue(AttrValue.Builder) - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder: Specify a new default value to use for this attr.
setDefaultValue(AttrValue) - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: A reasonable default for this attribute if the user does not supply a value.
setDefaultValue(AttrValue.Builder) - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: A reasonable default for this attribute if the user does not supply a value.
setDeferred(boolean) - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder: True if the deallocation is queued and will be performed later, e.g.
setDeferredDeletionBytes(long) - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code.
setDelayMs(long) - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder: Start of profiling is delayed by this much (in milliseconds).
setDenseShapeTensorName(String) - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder: The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
setDenseShapeTensorNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder: The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
setDependencyOptimization(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Control dependency optimizations (default is ON).
setDependencyOptimizationValue(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Control dependency optimizations (default is ON).
setDeprecated(boolean) - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder: Set if this endpoint is deprecated.
setDeprecation(OpDeprecation) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Optional deprecation based on GraphDef versions.
setDeprecation(OpDeprecation.Builder) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Optional deprecation based on GraphDef versions.
setDeprecationMessage(String) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: If this op is deprecated, set deprecation message to the message that should be logged when this op is used.
setDeprecationMessageBytes(ByteString) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: If this op is deprecated, set deprecation message to the message that should be logged when this op is used.
setDeprecationVersion(int) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: Major version when the op will be deleted.
setDeprecationVersion(int) - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder: Major version when an endpoint will be deleted.
setDescription(String) - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder: Note: this will replace any inherited arg doc.
setDescription(String) - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder: Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
setDescription(String) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: Additional, longer human-readable description of what the Op does.
setDescription(String) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: Human readable description.
setDescription(String) - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: Human-readable description.
setDescription(String) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Additional, longer human-readable description of what the Op does.
setDescription(String) - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder: Description of the stat (might be long).
setDescriptionBytes(ByteString) - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder: Note: this will replace any inherited arg doc.
setDescriptionBytes(ByteString) - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder: Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
setDescriptionBytes(ByteString) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: Additional, longer human-readable description of what the Op does.
setDescriptionBytes(ByteString) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: Human readable description.
setDescriptionBytes(ByteString) - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: Human-readable description.
setDescriptionBytes(ByteString) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Additional, longer human-readable description of what the Op does.
setDescriptionBytes(ByteString) - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder: Description of the stat (might be long).
setDescriptionPrefix(String) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: Modify an existing/inherited description by adding text to the beginning or end.
setDescriptionPrefixBytes(ByteString) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: Modify an existing/inherited description by adding text to the beginning or end.
setDescriptionSuffix(String) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: string description_suffix = 10;
setDescriptionSuffixBytes(ByteString) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: string description_suffix = 10;
setDestination(GraphTransferInfo.Destination) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: Destination of graph transfer
setDestinationValue(int) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: Destination of graph transfer
setDeterministic(boolean) - Method in class org.tensorflow.proto.data.Options.Builder: bool deterministic = 1;
setDevice(String) - Method in class org.tensorflow.GraphOperationBuilder
setDevice(String) - Method in interface org.tensorflow.OperationBuilder: Set the device requested for computing the operation being built.
setDevice(String) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: The device of the node.
setDevice(String) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: string device = 1;
setDevice(String) - Method in class org.tensorflow.proto.framework.NodeDef.Builder: A (possibly partial) specification for the device on which this node should be placed.
setDevice(DeviceProperties) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Device on which the operation is run.
setDevice(DeviceProperties.Builder) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Device on which the operation is run.
setDevice(String) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Device where the tensor is located.
setDevice(String) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Unique name for the device containing the resource.
setDevice(String) - Method in class org.tensorflow.proto.framework.SavedResource.Builder: A device specification indicating a required placement for the resource creation function, e.g.
setDevice(String) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: string device = 7;
setDeviceBytes(ByteString) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: The device of the node.
setDeviceBytes(ByteString) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: string device = 1;
setDeviceBytes(ByteString) - Method in class org.tensorflow.proto.framework.NodeDef.Builder: A (possibly partial) specification for the device on which this node should be placed.
setDeviceBytes(ByteString) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Device where the tensor is located.
setDeviceBytes(ByteString) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Unique name for the device containing the resource.
setDeviceBytes(ByteString) - Method in class org.tensorflow.proto.framework.SavedResource.Builder: A device specification indicating a required placement for the resource creation function, e.g.
setDeviceBytes(ByteString) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: string device = 7;
setDeviceFilters(int, String) - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters.Builder: repeated string device_filters = 1;
setDeviceFilters(int, String) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: When any filters are present sessions will ignore all devices which do not match the filters.
setDeviceId(int) - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder: int32 device_id = 1;
setDeviceId(int) - Method in class org.tensorflow.proto.util.DebuggedDevice.Builder: A debugger-generated ID for the device.
setDeviceInfo(int, Any) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
setDeviceInfo(int, Any.Builder) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
setDeviceName(String) - Method in class org.tensorflow.proto.util.DebuggedDevice.Builder: Name of the device.
setDeviceName(String) - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Name of the device that the op belongs to.
setDeviceName(String) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Name of the device that the op is assigned to (if available).
setDeviceNameBytes(ByteString) - Method in class org.tensorflow.proto.util.DebuggedDevice.Builder: Name of the device.
setDeviceNameBytes(ByteString) - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Name of the device that the op belongs to.
setDeviceNameBytes(ByteString) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Name of the device that the op is assigned to (if available).
setDevicePersistentMemory(long) - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder: Deprecated.
setDevicePersistentMemorySize(long) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Deprecated.
setDevicePersistentMemorySize(long) - Method in class org.tensorflow.proto.framework.MemoryStats.Builder: Deprecated.
setDevicePersistentTensorAllocIds(int, long) - Method in class org.tensorflow.proto.framework.MemoryStats.Builder: Deprecated.
setDeviceTempMemory(long) - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder: Deprecated.
setDeviceTempMemorySize(long) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Deprecated.
setDeviceTempMemorySize(long) - Method in class org.tensorflow.proto.framework.MemoryStats.Builder: Deprecated.
setDeviceTracerLevel(int) - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: Levels of device tracing: (version >= 1) - Level 0 is used to disable device traces.
setDeviceType(String) - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: String representation of device_type.
setDeviceType(String) - Method in class org.tensorflow.proto.framework.KernelDef.Builder: Type of device this kernel runs on.
setDeviceType(ProfileOptions.DeviceType) - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: Device type to profile/trace: (version >= 1) DeviceType::UNSPECIFIED: All registered device profiler will be enabled.
setDeviceTypeBytes(ByteString) - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: String representation of device_type.
setDeviceTypeBytes(ByteString) - Method in class org.tensorflow.proto.framework.KernelDef.Builder: Type of device this kernel runs on.
setDeviceTypeValue(int) - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: Device type to profile/trace: (version >= 1) DeviceType::UNSPECIFIED: All registered device profiler will be enabled.
setDevStats(int, DeviceStepStats) - Method in class org.tensorflow.proto.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
setDevStats(int, DeviceStepStats.Builder) - Method in class org.tensorflow.proto.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
setDictValue(DictValue) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a dict `Value`.
setDictValue(DictValue.Builder) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a dict `Value`.
SetDiff1d<T extends TType,U extends TNumber> - Class in org.tensorflow.op.core: Computes the difference between two lists of numbers or strings.
SetDiff1d(Operation) - Constructor for class org.tensorflow.op.core.SetDiff1d
setDiff1d(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops: Computes the difference between two lists of numbers or strings.
setDiff1d(Operand<T>, Operand<T>, Class) - Method in class org.tensorflow.op.Ops: Computes the difference between two lists of numbers or strings.
SetDiff1d.Inputs<T extends TType> - Class in org.tensorflow.op.core
setDim(int, TensorShapeProto.Dim) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
setDim(int, TensorShapeProto.Dim.Builder) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
setDimension(String) - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost.Builder: Aggregated cost dimension (e.g.
setDimensionBytes(ByteString) - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost.Builder: Aggregated cost dimension (e.g.
setDisableFunctionalOpsLowering(boolean) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Whether functional control flow op lowering should be disabled.
setDisableMetaOptimizer(boolean) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Disable the entire meta optimizer (off by default).
setDisableModelPruning(boolean) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: If true, don't remove unnecessary ops from the graph
setDisableOutputPartitionGraphs(boolean) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: If true, the session will not store an additional copy of the graph for each subgraph.
setDisableSessionConnectionSharing(boolean) - Method in class org.tensorflow.proto.framework.RPCOptions.Builder: Disables TCP connection sharing when opening a new RPC channel.
setDisableThreadSpinning(boolean) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: If using a direct session, disable spinning while waiting for work in the thread pool.
setDispatcherAddress(String) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The address of the dispatcher to register with.
setDispatcherAddressBytes(ByteString) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The address of the dispatcher to register with.
setDispatcherTimeoutMs(long) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: How long to retry requests to the dispatcher before giving up and reporting an error.
setDisplayId(long) - Method in class org.tensorflow.proto.profiler.XLine.Builder: Display id of this line.
setDisplayName(String) - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder: Display name for viewing in TensorBoard.
setDisplayName(String) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: Name of the event shown in trace viewer.
setDisplayName(String) - Method in class org.tensorflow.proto.profiler.XLine.Builder: Name of this XLine to display in trace viewer.
setDisplayNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder: Display name for viewing in TensorBoard.
setDisplayNameBytes(ByteString) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: Name of the event shown in trace viewer.
setDisplayNameBytes(ByteString) - Method in class org.tensorflow.proto.profiler.XLine.Builder: Name of this XLine to display in trace viewer.
setDistributeOptions(DistributeOptions) - Method in class org.tensorflow.proto.data.Options.Builder: The distribution strategy options associated with the dataset.
setDistributeOptions(DistributeOptions.Builder) - Method in class org.tensorflow.proto.data.Options.Builder: The distribution strategy options associated with the dataset.
setDoCommonSubexpressionElimination(boolean) - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder: If true, optimize the graph using common subexpression elimination.
setDoConstantFolding(boolean) - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder: If true, perform constant folding optimization on the graph.
setDoFunctionInlining(boolean) - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder: If true, perform function inlining on the graph.
setDoubleVal(int, double) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_DOUBLE.
setDoubleValue(double) - Method in class org.tensorflow.proto.profiler.XStat.Builder: double double_value = 2;
setDoubleValue(double) - Method in class org.tensorflow.proto.util.testlog.EntryValue.Builder: double double_value = 1;
setDtype(int, DataType) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: A list of tensor dtype corresponding to each element of the snapshot.
setDtype(DataType) - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
setDtype(DataType) - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
setDtype(DataType) - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.DataType dtype = 3;
setDtype(DataType) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.DataType dtype = 4;
setDtype(DataType) - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder: .tensorflow.DataType dtype = 5;
setDtype(DataType) - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
setDtype(DataType) - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
setDtype(DataType) - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder: .tensorflow.DataType dtype = 1;
setDtype(DataType) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Tensor type.
setDtype(DataType) - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder: .tensorflow.DataType dtype = 1;
setDtype(DataType) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder: .tensorflow.DataType dtype = 1;
setDtype(DataType) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: .tensorflow.DataType dtype = 1;
setDtype(DataType) - Method in class org.tensorflow.proto.framework.TensorDescription.Builder: Data type of tensor elements
setDtype(DataType) - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: .tensorflow.DataType dtype = 2;
setDtype(DataType) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: .tensorflow.DataType dtype = 1;
setDtype(DataType) - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder: .tensorflow.DataType dtype = 3;
setDtype(DataType) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: The tensor dtype and shape.
setDtypesAndShapes(int, ResourceHandleProto.DtypeAndShape) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
setDtypesAndShapes(int, ResourceHandleProto.DtypeAndShape.Builder) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
setDtypeValue(int, int) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: A list of tensor dtype corresponding to each element of the snapshot.
setDtypeValue(int) - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
setDtypeValue(int) - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
setDtypeValue(int) - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.DataType dtype = 3;
setDtypeValue(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.DataType dtype = 4;
setDtypeValue(int) - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder: .tensorflow.DataType dtype = 5;
setDtypeValue(int) - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
setDtypeValue(int) - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
setDtypeValue(int) - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder: .tensorflow.DataType dtype = 1;
setDtypeValue(int) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Tensor type.
setDtypeValue(int) - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder: .tensorflow.DataType dtype = 1;
setDtypeValue(int) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder: .tensorflow.DataType dtype = 1;
setDtypeValue(int) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: .tensorflow.DataType dtype = 1;
setDtypeValue(int) - Method in class org.tensorflow.proto.framework.TensorDescription.Builder: Data type of tensor elements
setDtypeValue(int) - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: .tensorflow.DataType dtype = 2;
setDtypeValue(int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: .tensorflow.DataType dtype = 1;
setDtypeValue(int) - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder: .tensorflow.DataType dtype = 3;
setDtypeValue(int) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: The tensor dtype and shape.
setDurationMs(long) - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: The local profiler collects `duration_ms` milliseconds of data.
setDurationPs(long) - Method in class org.tensorflow.proto.profiler.XEvent.Builder: Duration of the event in picoseconds.
setDurationPs(long) - Method in class org.tensorflow.proto.profiler.XLine.Builder: Profiling duration for this line in picoseconds.
SetDynamicDimensionSize<T extends TType> - Class in org.tensorflow.op.xla: Make a static dimension into a xla bounded dynamic dimension.
SetDynamicDimensionSize(Operation) - Constructor for class org.tensorflow.op.xla.SetDynamicDimensionSize
setDynamicDimensionSize(Operand<T>, Operand<TInt32>, Operand<TInt32>) - Method in class org.tensorflow.op.XlaOps: Make a static dimension into a xla bounded dynamic dimension.
SetDynamicDimensionSize.Inputs<T extends TType> - Class in org.tensorflow.op.xla
setElement(int, MemmappedFileSystemDirectoryElement) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
setElement(int, MemmappedFileSystemDirectoryElement.Builder) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
setEnable(boolean) - Method in class org.tensorflow.proto.framework.AutoParallelOptions.Builder: bool enable = 1;
setEnableBfloat16Sendrecv(boolean) - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: If true, transfer float values between processes as bfloat16.
setEnabled(boolean) - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder: bool enabled = 1;
setEnableHloProto(boolean) - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: Whether serialize hlo_proto when XLA is used.
setEnableMlirBridge(boolean) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: This field will eventually be deprecated and replaced by mlir_bridge_rollout (b/166038521).
setEnableMlirGraphOptimization(boolean) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Whether to enable the MLIR-based Graph optimizations.
setEnableOp(int, String) - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions.Builder: If present, only perform optimization for these ops.
setEnableRecvScheduling(boolean) - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: If true, use control flow to schedule the activation of Recv nodes.
setEncodedAudioString(ByteString) - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder: Encoded audio data and its associated RFC 2045 content type (e.g.
setEncodedImageString(ByteString) - Method in class org.tensorflow.proto.framework.Summary.Image.Builder: Image data in encoded format.
setEndianness(BundleHeaderProto.Endianness) - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder: .tensorflow.BundleHeaderProto.Endianness endianness = 2;
setEndiannessValue(int) - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder: .tensorflow.BundleHeaderProto.Endianness endianness = 2;
setEndpoint(int, ApiDef.Endpoint) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
setEndpoint(int, ApiDef.Endpoint.Builder) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
setEnqueueOpName(int, String) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: A list of enqueue operations.
setEntries(BenchmarkEntries) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The list of tests or benchmarks in this run.
setEntries(BenchmarkEntries.Builder) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The list of tests or benchmarks in this run.
setEntry(int, BenchmarkEntry) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
setEntry(int, BenchmarkEntry.Builder) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
setErrors(int, String) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: Errors (if any) in the generation of planes.
setEvents(int, XEvent) - Method in class org.tensorflow.proto.profiler.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
setEvents(int, XEvent.Builder) - Method in class org.tensorflow.proto.profiler.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
setExecution(Execution) - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Execution of an op or a Graph (e.g., a tf.function).
setExecution(Execution.Builder) - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Execution of an op or a Graph (e.g., a tf.function).
setExecutionTimeLogNormal(LogNormalDistribution) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: .tensorflow.LogNormalDistribution execution_time_log_normal = 11;
setExecutionTimeLogNormal(LogNormalDistribution.Builder) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: .tensorflow.LogNormalDistribution execution_time_log_normal = 11;
setExecutionTimeNormal(NormalDistribution) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: .tensorflow.NormalDistribution execution_time_normal = 10;
setExecutionTimeNormal(NormalDistribution.Builder) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: .tensorflow.NormalDistribution execution_time_normal = 10;
setExecutorType(String) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Which executor to use, the default executor will be used if it is an empty string or "DEFAULT"
setExecutorTypeBytes(ByteString) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Which executor to use, the default executor will be used if it is an empty string or "DEFAULT"
setExitCode(int) - Method in class org.tensorflow.proto.util.RequestedExitCode.Builder: int32 exit_code = 1;
setExitCode(RequestedExitCode) - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder: .tensorflow.RequestedExitCode exit_code = 3;
setExitCode(RequestedExitCode.Builder) - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder: .tensorflow.RequestedExitCode exit_code = 3;
setExperimental(ConfigProto.Experimental) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: .tensorflow.ConfigProto.Experimental experimental = 16;
setExperimental(ConfigProto.Experimental.Builder) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: .tensorflow.ConfigProto.Experimental experimental = 16;
setExperimental(GPUOptions.Experimental) - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
setExperimental(GPUOptions.Experimental.Builder) - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
setExperimental(RunOptions.Experimental) - Method in class org.tensorflow.proto.framework.RunOptions.Builder: .tensorflow.RunOptions.Experimental experimental = 8;
setExperimental(RunOptions.Experimental.Builder) - Method in class org.tensorflow.proto.framework.RunOptions.Builder: .tensorflow.RunOptions.Experimental experimental = 8;
setExperimentalDebugInfo(NodeDef.ExperimentalDebugInfo) - Method in class org.tensorflow.proto.framework.NodeDef.Builder: This stores debug information associated with the node.
setExperimentalDebugInfo(NodeDef.ExperimentalDebugInfo.Builder) - Method in class org.tensorflow.proto.framework.NodeDef.Builder: This stores debug information associated with the node.
setExperimentalDisableCompressedTensorOptimization(boolean) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Disable optimizations that assume compressed tensors.
setExperimentalDisableFoldingQuantizationEmulation(boolean) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Disable folding quantization emulation ops such as FakeQuantWithMinMax* and QuantizeAndDequantize*.
setExperimentalDistributedVariableComponents(int, SavedVariable) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: List of component variables for a distributed variable.
setExperimentalDistributedVariableComponents(int, SavedVariable.Builder) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: List of component variables for a distributed variable.
setExperimentalFullType(FullTypeDef) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: Experimental.
setExperimentalFullType(FullTypeDef.Builder) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: Experimental.
setExperimentalType(FullTypeDef) - Method in class org.tensorflow.proto.framework.NodeDef.Builder: The complete type of this node.
setExperimentalType(FullTypeDef.Builder) - Method in class org.tensorflow.proto.framework.NodeDef.Builder: The complete type of this node.
setExplanation(String) - Method in class org.tensorflow.proto.framework.OpDeprecation.Builder: Explanation of why it was deprecated and what to use instead.
setExplanationBytes(ByteString) - Method in class org.tensorflow.proto.framework.OpDeprecation.Builder: Explanation of why it was deprecated and what to use instead.
setExtent(int, TensorSliceProto.Extent) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
setExtent(int, TensorSliceProto.Extent.Builder) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
setExternalStatePolicy(ExternalStatePolicy) - Method in class org.tensorflow.proto.data.Options.Builder: .tensorflow.data.ExternalStatePolicy external_state_policy = 6;
setExternalStatePolicyValue(int) - Method in class org.tensorflow.proto.data.Options.Builder: .tensorflow.data.ExternalStatePolicy external_state_policy = 6;
setF(float) - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "float"
setF(int, float) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(float)"
setFailOnOptimizerErrors(boolean) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: If true, any optimization pass failing will cause the MetaOptimizer to stop with an error.
setFaultTolerantMode(boolean) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: Whether to run in fault tolerant mode, where dispatcher state is saved across restarts.
setFeature(int, Feature) - Method in class org.tensorflow.proto.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
setFeature(int, Feature.Builder) - Method in class org.tensorflow.proto.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
setFeatureLists(FeatureLists) - Method in class org.tensorflow.proto.example.SequenceExample.Builder: .tensorflow.FeatureLists feature_lists = 2;
setFeatureLists(FeatureLists.Builder) - Method in class org.tensorflow.proto.example.SequenceExample.Builder: .tensorflow.FeatureLists feature_lists = 2;
setFeatures(Features) - Method in class org.tensorflow.proto.example.Example.Builder: .tensorflow.Features features = 1;
setFeatures(Features.Builder) - Method in class org.tensorflow.proto.example.Example.Builder: .tensorflow.Features features = 1;
setFeed(int, String) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Tensors to be fed in the callable.
setFetch(int, String) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Fetches.
setFetchSkipSync(boolean) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: By default, RunCallable() will synchronize the GPU stream before returning fetched tensors on a GPU device, to ensure that the values in those tensors have been produced.
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DistributeOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.model.ModelProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.Options.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.ThreadingOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.distruntime.JobDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.example.BytesList.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.example.Example.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.example.Feature.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.example.FeatureList.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.example.FeatureLists.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.example.Features.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.example.FloatList.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.example.Int64List.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.example.SequenceExample.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.AllocationRecord.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ApiDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ApiDefs.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.AttrValue.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.AutoParallelOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CapturedTensor.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CollectionDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.DebugOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.DictValue.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GPUOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GradientDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GraphDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GraphOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.HistogramProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.KernelDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.KernelList.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ListValue.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.LocalLinks.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.LogNormalDistribution.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.MemoryLogStep.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.MemoryStats.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.NameAttrList.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.NamedDevice.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.NodeDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.NodeOutput.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.NoneValue.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.NormalDistribution.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.OpDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.OpDeprecation.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.OpInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.OpList.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.PairValue.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.RegisteredGradient.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.RPCOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.RunOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SaveableObject.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SavedAsset.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SavedConstant.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SavedFunction.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SavedModel.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SavedObject.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SavedResource.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SessionInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SessionMetadata.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SignatureDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.Status.DerivedStatus.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.StepStats.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.Summary.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.Summary.Image.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SummaryDescription.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TensorConnection.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TensorDescription.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TensorInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TensorProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TupleValue.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.ValuesDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.VariableDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.VerifierConfig.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.VersionDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.XEvent.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.XLine.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.XPlane.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.XSpace.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.XStat.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.BinSummary.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.CodeLocation.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.DebugEvent.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.DebuggedDevice.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.DebugMetadata.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.Event.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.Execution.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.MemChunk.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.MemoryDump.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.RequestedExitCode.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.SavedSlice.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.SaverDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.SessionLog.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.SnapShot.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.SourceFile.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.TaggedRunMetadata.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.testlog.EntryValue.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.testlog.MemoryInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.WatchdogConfig.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder
setFileIndex(int) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder: File name index, which can be used to retrieve the file name string from `files`.
setFileLineCol(GraphDebugInfo.FileLineCol) - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder: Stack frame, i.e., a frame of a stack trace, containing information regarding the file name, line number, function name, code content of the line, and column number (if available).
setFileLineCol(GraphDebugInfo.FileLineCol.Builder) - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder: Stack frame, i.e., a frame of a stack trace, containing information regarding the file name, line number, function name, code content of the line, and column number (if available).
setFileLineCols(int, GraphDebugInfo.FileLineCol) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder: Each line in the stack trace.
setFileLineCols(int, GraphDebugInfo.FileLineCol.Builder) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder: Each line in the stack trace.
setFilename(String) - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder: The filename within an assets directory.
setFilenameBytes(ByteString) - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder: The filename within an assets directory.
setFilenameTensorName(String) - Method in class org.tensorflow.proto.util.SaverDef.Builder: The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.
setFilenameTensorNameBytes(ByteString) - Method in class org.tensorflow.proto.util.SaverDef.Builder: The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.
setFilePath(String) - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder: Path to the source code file.
setFilePath(String) - Method in class org.tensorflow.proto.util.SourceFile.Builder: Path to the file.
setFilePathBytes(ByteString) - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder: Path to the source code file.
setFilePathBytes(ByteString) - Method in class org.tensorflow.proto.util.SourceFile.Builder: Path to the file.
setFiles(int, String) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder: This stores all the source code file names and can be indexed by the `file_index`.
setFileVersion(String) - Method in class org.tensorflow.proto.util.DebugMetadata.Builder: Version of the DebugEvent file format.
setFileVersion(String) - Method in class org.tensorflow.proto.util.Event.Builder: An event file was started, with the specified version.
setFileVersionBytes(ByteString) - Method in class org.tensorflow.proto.util.DebugMetadata.Builder: Version of the DebugEvent file format.
setFileVersionBytes(ByteString) - Method in class org.tensorflow.proto.util.Event.Builder: An event file was started, with the specified version.
setFilterFusion(boolean) - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder: bool filter_fusion = 6;
setFinalized(boolean) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: bool finalized = 1000;
setFixedLenFeature(FixedLenFeatureProto) - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
setFixedLenFeature(FixedLenFeatureProto.Builder) - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
setFloat64Value(double) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a double-precision floating-point value (a Python `float`).
setFloatList(FloatList) - Method in class org.tensorflow.proto.example.Feature.Builder: .tensorflow.FloatList float_list = 2;
setFloatList(FloatList.Builder) - Method in class org.tensorflow.proto.example.Feature.Builder: .tensorflow.FloatList float_list = 2;
setFloatList(CollectionDef.FloatList) - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.FloatList float_list = 4;
setFloatList(CollectionDef.FloatList.Builder) - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.FloatList float_list = 4;
setFloatVal(int, float) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_FLOAT.
setForceGpuCompatible(boolean) - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: Force all tensors to be gpu_compatible.
setFragmentationMetric(float) - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder: float fragmentation_metric = 5;
setFreedAtCount(long) - Method in class org.tensorflow.proto.util.MemChunk.Builder: uint64 freed_at_count = 6;
setFrequency(long) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Core Frequency in Mhz
setFromTensor(String) - Method in class org.tensorflow.proto.framework.TensorConnection.Builder: A tensor name.
setFromTensorBytes(ByteString) - Method in class org.tensorflow.proto.framework.TensorConnection.Builder: A tensor name.
setFullargspec(StructuredValue) - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder: Full arg spec from inspect.getfullargspec().
setFullargspec(StructuredValue.Builder) - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder: Full arg spec from inspect.getfullargspec().
setFullName(String) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder: Name of the full variable of which this is a slice.
setFullName(String) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: The full name of the variable/tensor, if applicable.
setFullNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder: Name of the full variable of which this is a slice.
setFullNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: The full name of the variable/tensor, if applicable.
setFullShape(int, long) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder: Shape of the full variable.
setFunc(NameAttrList) - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "func" represents a function.
setFunc(NameAttrList.Builder) - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "func" represents a function.
setFunc(int, NameAttrList) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(attr)"
setFunc(int, NameAttrList.Builder) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(attr)"
setFunc(String) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder: Name of function contains the file line.
setFuncBytes(ByteString) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder: Name of function contains the file line.
setFunction(int, FunctionDef) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
setFunction(int, FunctionDef.Builder) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
setFunction(SavedFunction) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedFunction function = 6;
setFunction(SavedFunction.Builder) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedFunction function = 6;
setFunctionGraphs(int, RunMetadata.FunctionGraphs) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
setFunctionGraphs(int, RunMetadata.FunctionGraphs.Builder) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
setFunctionName(String) - Method in class org.tensorflow.proto.framework.GradientDef.Builder: The function name.
setFunctionNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.GradientDef.Builder: The function name.
setFunctionOptimization(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Function optimizations (default is ON).
setFunctionOptimizationValue(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Function optimizations (default is ON).
setFunctionSpec(FunctionSpec) - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder: The spec of the function that this ConcreteFunction is traced from.
setFunctionSpec(FunctionSpec.Builder) - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder: The spec of the function that this ConcreteFunction is traced from.
setFunctionSpec(FunctionSpec) - Method in class org.tensorflow.proto.framework.SavedFunction.Builder: .tensorflow.FunctionSpec function_spec = 2;
setFunctionSpec(FunctionSpec.Builder) - Method in class org.tensorflow.proto.framework.SavedFunction.Builder: .tensorflow.FunctionSpec function_spec = 2;
setGlobalJitLevel(OptimizerOptions.GlobalJitLevel) - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder: .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
setGlobalJitLevelValue(int) - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder: .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
setGlobalName(String) - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto.Builder: The global name of the threadpool.
setGlobalNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto.Builder: The global name of the threadpool.
setGlobalStep(long) - Method in class org.tensorflow.proto.framework.DebugOptions.Builder: Caller-specified global step count.
setGpuOptions(GPUOptions) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Options that apply to all GPUs.
setGpuOptions(GPUOptions.Builder) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Options that apply to all GPUs.
setGradient(int, GradientDef) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
setGradient(int, GradientDef.Builder) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
setGradientFunc(String) - Method in class org.tensorflow.proto.framework.GradientDef.Builder: The gradient function's name.
setGradientFunc(String) - Method in class org.tensorflow.proto.framework.RegisteredGradient.Builder: The gradient function's name.
setGradientFuncBytes(ByteString) - Method in class org.tensorflow.proto.framework.GradientDef.Builder: The gradient function's name.
setGradientFuncBytes(ByteString) - Method in class org.tensorflow.proto.framework.RegisteredGradient.Builder: The gradient function's name.
setGraphDef(GraphDef) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: GraphDef.
setGraphDef(GraphDef.Builder) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: GraphDef.
setGraphDef(ByteString) - Method in class org.tensorflow.proto.util.Event.Builder: An encoded version of a GraphDef.
setGraphExecutionTrace(GraphExecutionTrace) - Method in class org.tensorflow.proto.util.DebugEvent.Builder: A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
setGraphExecutionTrace(GraphExecutionTrace.Builder) - Method in class org.tensorflow.proto.util.DebugEvent.Builder: A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
setGraphHash(String) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: Stores the fingerprint of the graph that describes the dataset that is snapshotted.
setGraphHashBytes(ByteString) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: Stores the fingerprint of the graph that describes the dataset that is snapshotted.
setGraphId(String) - Method in class org.tensorflow.proto.util.DebugEvent.Builder: The ID of the graph (i.e., FuncGraph) executed here: applicable only to the execution of a FuncGraph.
setGraphId(String) - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: An ID for the graph.
setGraphId(String) - Method in class org.tensorflow.proto.util.Execution.Builder: The graph that's executed: applicable only to the eager execution of a FuncGraph.
setGraphId(String) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Unique ID of the graph (generated by debugger).
setGraphIdBytes(ByteString) - Method in class org.tensorflow.proto.util.DebugEvent.Builder: The ID of the graph (i.e., FuncGraph) executed here: applicable only to the execution of a FuncGraph.
setGraphIdBytes(ByteString) - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: An ID for the graph.
setGraphIdBytes(ByteString) - Method in class org.tensorflow.proto.util.Execution.Builder: The graph that's executed: applicable only to the eager execution of a FuncGraph.
setGraphIdBytes(ByteString) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Unique ID of the graph (generated by debugger).
setGraphInputNodeInfo(int, GraphTransferGraphInputNodeInfo) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph
setGraphInputNodeInfo(int, GraphTransferGraphInputNodeInfo.Builder) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph
setGraphName(String) - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: Name of the graph (if available).
setGraphName(String) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Name of the graph that the op is a part of (if available).
setGraphNameBytes(ByteString) - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: Name of the graph (if available).
setGraphNameBytes(ByteString) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Name of the graph that the op is a part of (if available).
setGraphOpCreation(GraphOpCreation) - Method in class org.tensorflow.proto.util.DebugEvent.Builder: The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
setGraphOpCreation(GraphOpCreation.Builder) - Method in class org.tensorflow.proto.util.DebugEvent.Builder: The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
setGraphOpName(String) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: Name of the op (in the OpDef) to specify the API for.
setGraphOpNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: Name of the op (in the OpDef) to specify the API for.
setGraphOptions(GraphOptions) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Options that apply to all graphs.
setGraphOptions(GraphOptions.Builder) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Options that apply to all graphs.
setGraphOutputNodeInfo(int, GraphTransferGraphOutputNodeInfo) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
setGraphOutputNodeInfo(int, GraphTransferGraphOutputNodeInfo.Builder) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
setHalfVal(int, int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_HALF, DT_BFLOAT16.
setHandle(String) - Method in class org.tensorflow.proto.framework.MemoryLogStep.Builder: Handle describing the feeds and fetches of the step.
setHandleBytes(ByteString) - Method in class org.tensorflow.proto.framework.MemoryLogStep.Builder: Handle describing the feeds and fetches of the step.
setHandleData(int, ResourceHandleProto.DtypeAndShape) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: The handle data for resource inputs.
setHandleData(int, ResourceHandleProto.DtypeAndShape.Builder) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: The handle data for resource inputs.
setHash(String) - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder: string hash = 2;
setHashBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder: string hash = 2;
setHashCode(long) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Hash code for the type of the resource.
setHasMinimum(boolean) - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: For type == "int", this is a minimum value.
setHasSingleReference(boolean) - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder: Set if this tensor only has one remaining reference
setHealthStatus(WorkerHealth) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder: .tensorflow.WorkerHealth health_status = 1;
setHealthStatusValue(int) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder: .tensorflow.WorkerHealth health_status = 1;
setHeartbeatIntervalMs(long) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: How often the worker should heartbeat to the master.
setHeight(int) - Method in class org.tensorflow.proto.framework.Summary.Image.Builder: Dimensions of the image.
setHisto(HistogramProto) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.HistogramProto histo = 5;
setHisto(HistogramProto.Builder) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.HistogramProto histo = 5;
setHost(String) - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder: The host name on which a source code file is located.
setHostBytes(ByteString) - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder: The host name on which a source code file is located.
setHostMemoryArg(int, String) - Method in class org.tensorflow.proto.framework.KernelDef.Builder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
setHostName(String) - Method in class org.tensorflow.proto.util.CodeLocation.Builder: Host name on which the source files are located.
setHostName(String) - Method in class org.tensorflow.proto.util.SourceFile.Builder: Name of the host on which the file is located.
setHostname(String) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Host name of machine that ran the benchmark.
setHostname(String) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder: string hostname = 3;
setHostNameBytes(ByteString) - Method in class org.tensorflow.proto.util.CodeLocation.Builder: Host name on which the source files are located.
setHostNameBytes(ByteString) - Method in class org.tensorflow.proto.util.SourceFile.Builder: Name of the host on which the file is located.
setHostnameBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Host name of machine that ran the benchmark.
setHostnameBytes(ByteString) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder: string hostname = 3;
setHostnames(int, String) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: List of hostnames that XPlanes are generated from.
setHostTempMemorySize(long) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Deprecated.
setHostTracerLevel(int) - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: Levels of host tracing: (version >= 1) - Level 0 is used to disable host traces.
setI(long) - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "int"
setI(int, long) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(int)"
setI(long) - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: TODO(mdan): list/tensor, map? Need to reconcile with TFT_RECORD, etc.
setId(long) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Unique node ID.
setId(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: The id of the node.
setId(long) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: XPlane.event_metadata map key.
setId(long) - Method in class org.tensorflow.proto.profiler.XLine.Builder: Id of this line, can be repeated within an XPlane.
setId(long) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: int64 id = 1;
setId(long) - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder: XPlane.stat_metadata map key.
setId(String) - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder: A unique ID for the stack frame: A UUID-like string.
setIdBytes(ByteString) - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder: A unique ID for the stack frame: A UUID-like string.
setIdCounter(long) - Method in class org.tensorflow.proto.data.model.ModelProto.Builder: Counter for node IDs of this model.
setIdentifier(String) - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder: Corresponds to a registration of the type to use in the loading program.
setIdentifierBytes(ByteString) - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder: Corresponds to a registration of the type to use in the loading program.
setImage(Summary.Image) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.Summary.Image image = 4;
setImage(Summary.Image.Builder) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.Summary.Image image = 4;
setImplementationSelector(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Enable the swap of kernel implementations based on the device placement (default is ON).
setImplementationSelectorValue(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Enable the swap of kernel implementations based on the device placement (default is ON).
setInaccurate(boolean) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Are the costs inaccurate?
setInArg(int, ApiDef.Arg) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
setInArg(int, ApiDef.Arg.Builder) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
setIncarnation(long) - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: A device is assigned a global unique number each time it is initialized.
setIncludeDatasetOps(boolean) - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: We don't collect the dataset ops by default for better trace-viewer scalability.
setIndex(int) - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder: Index of the output being set.
setIndices - Variable in class org.tensorflow.op.core.SetSize.Inputs: 2D Tensor, indices of a SparseTensor.
setIndicesOutputTensorName(String) - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder: string indices_output_tensor_name = 3;
setIndicesOutputTensorNameBytes(ByteString) - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder: string indices_output_tensor_name = 3;
setIndicesTensorName(String) - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder: The indices Tensor must have dtype int64 and shape [?, ?].
setIndicesTensorNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder: The indices Tensor must have dtype int64 and shape [?, ?].
setInferShapes(boolean) - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: Annotate each Node with Op output shape data, to the extent it can be statically inferred.
setInitializerName(String) - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Name of the initializer op.
setInitializerNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Name of the initializer op.
setInitialValueName(String) - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Name of the tensor holding the variable's initial value.
setInitialValueNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Name of the tensor holding the variable's initial value.
setInput(int, String) - Method in class org.tensorflow.proto.framework.NodeDef.Builder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
setInputArg(int, OpDef.ArgDef) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the input(s).
setInputArg(int, OpDef.ArgDef.Builder) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the input(s).
setInputCount(int) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder: int32 input_count = 6;
setInputInfo(int, CostGraphDef.Node.InputInfo) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
setInputInfo(int, CostGraphDef.Node.InputInfo.Builder) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
setInputNames(int, String) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Names of the input tensors to the op.
setInputProcessingTimeCount(long) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: int64 input_processing_time_count = 13;
setInputProcessingTimeSum(double) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Statistic of inputs processing time history.
setInputs(int, long) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: IDs of inputs of this node.
setInputs(int, OpInfo.TensorProperties) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
setInputs(int, OpInfo.TensorProperties.Builder) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
setInputSignature(StructuredValue) - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder: The input signature, if specified.
setInputSignature(StructuredValue.Builder) - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder: The input signature, if specified.
setInputTensorIds(int, long) - Method in class org.tensorflow.proto.util.Execution.Builder: IDs of the input tensors (if available).
setInstrumentedGraphDef(ByteString) - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: An encoded version of a GraphDef.
setInstrumentedOps(int, String) - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: Names of the instrumented ops.
setInt64List(Int64List) - Method in class org.tensorflow.proto.example.Feature.Builder: .tensorflow.Int64List int64_list = 3;
setInt64List(Int64List.Builder) - Method in class org.tensorflow.proto.example.Feature.Builder: .tensorflow.Int64List int64_list = 3;
setInt64List(CollectionDef.Int64List) - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.Int64List int64_list = 3;
setInt64List(CollectionDef.Int64List.Builder) - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.Int64List int64_list = 3;
setInt64Val(int, long) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_INT64
setInt64Value(long) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a signed integer value, limited to 64 bits.
setInt64Value(long) - Method in class org.tensorflow.proto.profiler.XStat.Builder: int64 int64_value = 4;
setInternalFragmentationFraction(double) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: BFC Allocator can return an allocated chunk of memory upto 2x the requested size.
setInterOpParallelismThreads(int) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Nodes that perform blocking operations are enqueued on a pool of inter_op_parallelism_threads available in each process.
setInterOpThreadPool(int) - Method in class org.tensorflow.proto.framework.RunOptions.Builder: The thread pool to use, if session_inter_op_thread_pool is configured.
setInterOptimizerVerifierConfig(VerifierConfig) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run after every optimizer.
setInterOptimizerVerifierConfig(VerifierConfig.Builder) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run after every optimizer.
setIntraOpParallelism(long) - Method in class org.tensorflow.proto.framework.SessionInfo.Builder: int64 intra_op_parallelism = 1;
setIntraOpParallelismThreads(int) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: The execution of an individual op (for some op types) can be parallelized on a pool of intra_op_parallelism_threads.
setIntVal(int, int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_INT32, DT_INT16, DT_UINT16, DT_INT8, DT_UINT8.
setInUse(boolean) - Method in class org.tensorflow.proto.util.MemChunk.Builder: bool in_use = 8;
setIsAggregate(boolean) - Method in class org.tensorflow.proto.framework.OpDef.Builder: If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
setIsCommutative(boolean) - Method in class org.tensorflow.proto.framework.OpDef.Builder: True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
setIsDistributedCommunication(boolean) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Indicates whether the op implementation uses distributed communication.
setIsFinal(boolean) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: If true, the output is permanent: it can't be discarded, because this node is part of the "final output".
setIsMethod(boolean) - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder: Whether this represents a class method.
setIsolateSessionState(boolean) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: If true, any resources such as Variables used in the session will not be shared with other sessions.
setIsRef(boolean) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: For inputs: if true, the inputs are required to be refs.
setIsResource(boolean) - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Whether to represent this as a ResourceVariable.
setIsStateful(boolean) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.
setIters(long) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: If a benchmark, how many iterations it was run for
setJitCompile(FunctionSpec.JitCompile) - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder: .tensorflow.FunctionSpec.JitCompile jit_compile = 6;
setJitCompileValue(int) - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder: .tensorflow.FunctionSpec.JitCompile jit_compile = 6;
setJob(int, JobDef) - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
setJob(int, JobDef.Builder) - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
setJobGcCheckIntervalMs(long) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: How often the dispatcher should scan through to delete old and unused jobs.
setJobGcTimeoutMs(long) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: How long a job needs to be unused before it becomes a candidate for garbage collection.
setJobName(String) - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The name of the job of which this server is a member.
setJobNameBytes(ByteString) - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The name of the job of which this server is a member.
setJobs(int, JobDeviceFilters) - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
setJobs(int, JobDeviceFilters.Builder) - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
setKeepCheckpointEveryNHours(float) - Method in class org.tensorflow.proto.util.SaverDef.Builder: How often to keep an additional checkpoint.
setKernel(int, KernelDef) - Method in class org.tensorflow.proto.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
setKernel(int, KernelDef.Builder) - Method in class org.tensorflow.proto.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
setKernelName(String) - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder: Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
setKernelName(String) - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder: Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
setKernelNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder: Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
setKernelNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder: Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
setKernelTrackerMaxBytes(int) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: If kernel_tracker_max_bytes = n > 0, then a tracking event is inserted after every series of kernels allocating a sum of memory >= n.
setKernelTrackerMaxInterval(int) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: Parameters for GPUKernelTracker.
setKernelTrackerMaxPending(int) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: If kernel_tracker_max_pending > 0 then no more than this many tracking events can be outstanding at a time.
setKey(String) - Method in class org.tensorflow.proto.framework.PairValue.Builder: string key = 1;
setKeyBytes(ByteString) - Method in class org.tensorflow.proto.framework.PairValue.Builder: string key = 1;
setL1CacheSize(long) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: L1 cache size in bytes
setL2CacheSize(long) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: L2 cache size in bytes
setL3CacheSize(long) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: L3 cache size in bytes
setLabel(String) - Method in class org.tensorflow.proto.framework.KernelDef.Builder: This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
setLabelBytes(ByteString) - Method in class org.tensorflow.proto.framework.KernelDef.Builder: This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
setLargestAllocSize(long) - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder: int64 largest_alloc_size = 4;
setLastModified(long) - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder: The timestamp at which the source code file is last modified.
setLayoutOptimizer(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Optimize tensor layouts (default is ON) e.g.
setLayoutOptimizerValue(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Optimize tensor layouts (default is ON) e.g.
setLength(long) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent.Builder: int64 length = 2;
setLength(long) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder: uint64 length = 3;
setLengthFrames(long) - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder: Length of the audio in frames (samples per channel).
setLevel(LogMessage.Level) - Method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.

.tensorflow.LogMessage.Level level = 1;
setLevelValue(int) - Method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.

.tensorflow.LogMessage.Level level = 1;
setLibrary(FunctionDefLibrary) - Method in class org.tensorflow.proto.framework.GraphDef.Builder: "library" provides user-defined functions.
setLibrary(FunctionDefLibrary.Builder) - Method in class org.tensorflow.proto.framework.GraphDef.Builder: "library" provides user-defined functions.
setLine(int) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder: Line number in the file.
setLines(int, String) - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder: Line-by-line content of the source code file.
setLines(int, XLine) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: Parallel timelines grouped in this plane.
setLines(int, XLine.Builder) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: Parallel timelines grouped in this plane.
setLines(int, String) - Method in class org.tensorflow.proto.util.SourceFile.Builder: Line-by-line content of the file.
setLink(int, InterconnectLink) - Method in class org.tensorflow.proto.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
setLink(int, InterconnectLink.Builder) - Method in class org.tensorflow.proto.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
setLinkage(String) - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
setLinkageBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
setLinks(LocalLinks) - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder: Optional local interconnect links to other devices.
setLinks(LocalLinks.Builder) - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder: Optional local interconnect links to other devices.
setList(AttrValue.ListValue) - Method in class org.tensorflow.proto.framework.AttrValue.Builder: any "list(...)"
setList(AttrValue.ListValue.Builder) - Method in class org.tensorflow.proto.framework.AttrValue.Builder: any "list(...)"
setListValue(ListValue) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a list of `Value`.
setListValue(ListValue.Builder) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a list of `Value`.
setLiveBytes(long) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: The bytes that are not deallocated.
setLocality(DeviceLocality) - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: Platform-specific data about device that may be useful for supporting efficient data transfers.
setLocality(DeviceLocality.Builder) - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: Platform-specific data about device that may be useful for supporting efficient data transfers.
setLocalName(String) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference.Builder: A user-provided name for the edge.
setLocalNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference.Builder: A user-provided name for the edge.
setLogDevicePlacement(boolean) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Whether device placements should be logged.
setLogMessage(LogMessage) - Method in class org.tensorflow.proto.util.Event.Builder: Deprecated.
setLogMessage(LogMessage.Builder) - Method in class org.tensorflow.proto.util.Event.Builder: Deprecated.
setLoopEnterNames(int, String) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: List of names for enter tensors.
setLoopExitNames(int, String) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: List of names for exit tensors.
setLoopOptimization(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Loop optimizations (default is ON).
setLoopOptimizationValue(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Loop optimizations (default is ON).
setMachine(String) - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
setMachineBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
setMachineConfiguration(MachineConfiguration) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: Machine-specific parameters (Platform and CPU info)
setMachineConfiguration(MachineConfiguration.Builder) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: Machine-specific parameters (Platform and CPU info)
setMapAndBatchFusion(boolean) - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder: bool map_and_batch_fusion = 9;
setMapAndFilterFusion(boolean) - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder: bool map_and_filter_fusion = 10;
setMapFusion(boolean) - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder: bool map_fusion = 11;
setMapParallelization(boolean) - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder: bool map_parallelization = 12;
setMax(double) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder: Maximum value of the parameter.
setMax(double) - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: double max = 2;
setMaxByteSize(int, int) - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder: repeated int32 max_byte_size = 2;
setMaxFoldedConstantInBytes(long) - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder: Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.
setMaximum(TensorProto) - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto maximum = 5;
setMaximum(TensorProto.Builder) - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto maximum = 5;
setMaximumIterationsName(String) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Optional name of the maximum_iterations tensor.
setMaximumIterationsNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Optional name of the maximum_iterations tensor.
setMaxIntraOpParallelism(int) - Method in class org.tensorflow.proto.data.ThreadingOptions.Builder: int32 max_intra_op_parallelism = 1;
setMaxSessionDurationMs(long) - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder: Maximum time (in milliseconds) a profiling session manager waits for all profilers to finish after issuing gRPC request.
setMaxToKeep(int) - Method in class org.tensorflow.proto.util.SaverDef.Builder: Maximum number of checkpoints to keep.
setMaxValue(DoubleValue) - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder: The maximum acceptable value for the metric if specified
setMaxValue(DoubleValue.Builder) - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder: The maximum acceptable value for the metric if specified
setMaybeTypeName(String) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: For debug-only, the name of the type pointed to by this handle, if available.
setMaybeTypeNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: For debug-only, the name of the type pointed to by this handle, if available.
setMemory(int, AllocatorMemoryUsed) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
setMemory(int, AllocatorMemoryUsed.Builder) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
setMemoryEfficiency(double) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: Percentage of theoretical memory performance.
setMemoryInfo(MemoryInfo) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: .tensorflow.MemoryInfo memory_info = 6;
setMemoryInfo(MemoryInfo.Builder) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: .tensorflow.MemoryInfo memory_info = 6;
setMemoryLimit(long) - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: Memory capacity of device in bytes.
setMemoryLimit(long) - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder: Memory capacity in bytes.
setMemoryLimitMb(int, float) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder: Per "virtual" device memory limit, in MB.
setMemoryOptimization(RewriterConfig.MemOptType) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Configures memory optimization passes through the meta-optimizer.
setMemoryOptimizationValue(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Configures memory optimization passes through the meta-optimizer.
setMemoryOptimizerTargetNodeNameScope(String) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: A node name scope for node names which are valid outputs of recomputations.
setMemoryOptimizerTargetNodeNameScopeBytes(ByteString) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: A node name scope for node names which are valid outputs of recomputations.
setMemoryRatio(double) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Ratio identifies how many parallelism calls are introduced by one buffered element.
setMemorySize(long) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Memory size in bytes
setMemoryStats(MemoryStats) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: .tensorflow.MemoryStats memory_stats = 12;
setMemoryStats(MemoryStats.Builder) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: .tensorflow.MemoryStats memory_stats = 12;
setMemoryTime(long) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Analytical estimate of the memory access cost of this node, in microseconds.
setMemoryTime(long) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: Analytical memory access cost (in nanoseconds).
setMessage(String) - Method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.

string message = 2;
setMessageBytes(ByteString) - Method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.

string message = 2;
setMeta(SavedTensorSliceMeta) - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder: This is only present at the first item of each checkpoint file and serves as a table of contents, listing all the tensor slices saved in this file.
setMeta(SavedTensorSliceMeta.Builder) - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder: This is only present at the first item of each checkpoint file and serves as a table of contents, listing all the tensor slices saved in this file.
setMetadata(String) - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder: Deprecated.
setMetadata(SummaryMetadata) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: Contains metadata on the summary value such as which plugins may use it.
setMetadata(SummaryMetadata.Builder) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: Contains metadata on the summary value such as which plugins may use it.
setMetadata(ByteString) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder: Portions of the object that are not Tensors.
setMetadata(ByteString) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: Additional metadata in serialized format.
setMetadataBytes(ByteString) - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder: Deprecated.
setMetadataId(long) - Method in class org.tensorflow.proto.profiler.XEvent.Builder: XEventMetadata.id of corresponding metadata.
setMetadataId(long) - Method in class org.tensorflow.proto.profiler.XStat.Builder: XStatMetadata.id of corresponding metadata.
setMetaGraphDef(ByteString) - Method in class org.tensorflow.proto.util.Event.Builder: An encoded version of a MetaGraphDef.
setMetaGraphs(int, MetaGraphDef) - Method in class org.tensorflow.proto.framework.SavedModel.Builder: One or more MetaGraphs.
setMetaGraphs(int, MetaGraphDef.Builder) - Method in class org.tensorflow.proto.framework.SavedModel.Builder: One or more MetaGraphs.
setMetaGraphVersion(String) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: User specified Version string.
setMetaGraphVersionBytes(ByteString) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: User specified Version string.
setMetaInfoDef(MetaGraphDef.MetaInfoDef) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
setMetaInfoDef(MetaGraphDef.MetaInfoDef.Builder) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
setMetaOptimizerIterations(RewriterConfig.NumIterationsType) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Controls how many times we run the optimizers in meta optimizer (default is once).
setMetaOptimizerIterationsValue(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Controls how many times we run the optimizers in meta optimizer (default is once).
setMetaOptimizerTimeoutMs(long) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Maximum number of milliseconds to spend optimizing a single graph before timing out.
setMethodName(String) - Method in class org.tensorflow.proto.framework.SignatureDef.Builder: Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.
setMethodNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.SignatureDef.Builder: Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.
setMetrics(int, MetricEntry) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Metric name, value and expected range.
setMetrics(int, MetricEntry.Builder) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Metric name, value and expected range.
setMhzPerCpu(double) - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder: How fast are these cpus?
setMin(double) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder: Minimum value of the parameter.
setMin(double) - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: double min = 1;
setMinConsumer(int) - Method in class org.tensorflow.proto.framework.VersionDef.Builder: Any consumer below this version is not allowed to consume this data.
setMinGraphNodes(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: The minimum number of nodes in a graph to optimizer.
setMinimum(TensorProto) - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto minimum = 4;
setMinimum(TensorProto.Builder) - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto minimum = 4;
setMinimum(long) - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: int64 minimum = 6;
setMinValue(DoubleValue) - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder: The minimum acceptable value for the metric if specified
setMinValue(DoubleValue.Builder) - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder: The minimum acceptable value for the metric if specified
setMlirBridgeRollout(ConfigProto.Experimental.MlirBridgeRollout) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: This field is underdevelopment, for now use enable_mlir_bridge (b/166038521).
setMlirBridgeRolloutValue(int) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: This field is underdevelopment, for now use enable_mlir_bridge (b/166038521).
setMode(String) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder: opt, dbg, etc
setModeBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder: opt, dbg, etc
setModel(String) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Model (Haswell, K40, ...)
setModel(String) - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder: e.g.
setModelBytes(ByteString) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Model (Haswell, K40, ...)
setModelBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder: e.g.
setModelInputTime(double) - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder: Time between two consecutive `GetNext` calls to the iterator represented by the output node.
setMsg(String) - Method in class org.tensorflow.proto.util.SessionLog.Builder: string msg = 3;
setMsgBytes(ByteString) - Method in class org.tensorflow.proto.util.SessionLog.Builder: string msg = 3;
setMu(double) - Method in class org.tensorflow.proto.framework.LogNormalDistribution.Builder: double mu = 1;
setMu(double) - Method in class org.tensorflow.proto.framework.NormalDistribution.Builder: double mu = 1;
setName(ByteString) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder: bytes name = 1;
setName(String) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Human-readable name of the node.
setName(String) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder: Human-readable name of the parameter.
setName(String) - Method in class org.tensorflow.proto.distruntime.JobDef.Builder: The name of this job.
setName(String) - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder: The name of this job.
setName(String) - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder: string name = 1;
setName(String) - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder: string name = 1;
setName(String) - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder: Name should be either like "CamelCaseName" or "Package.CamelCaseName".
setName(String) - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: string name = 1;
setName(String) - Method in class org.tensorflow.proto.framework.CapturedTensor.Builder: Name of captured tensor
setName(String) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: The name of the node.
setName(String) - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: Fully specified name of the device within a cluster.
setName(String) - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder: string name = 1;
setName(String) - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder: string name = 1;
setName(String) - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder: string name = 1;
setName(String) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder: string name = 1;
setName(String) - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder: Name of an attr from the Op.
setName(String) - Method in class org.tensorflow.proto.framework.NameAttrList.Builder: string name = 1;
setName(String) - Method in class org.tensorflow.proto.framework.NamedDevice.Builder: string name = 1;
setName(String) - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder: Name of the tensor.
setName(String) - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder: string name = 1;
setName(String) - Method in class org.tensorflow.proto.framework.NodeDef.Builder: The name given to this operator.
setName(String) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: Name for the input/output.
setName(String) - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: A descriptive name for the argument.
setName(String) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Op names starting with an underscore are reserved for internal use.
setName(String) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Unique name of this resource.
setName(String) - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder: string name = 1;
setName(String) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: string name = 6;
setName(String) - Method in class org.tensorflow.proto.framework.SessionMetadata.Builder: string name = 1;
setName(String) - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: For dense `Tensor`s, the name of the tensor in the graph.
setName(String) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim.Builder: Optional name of the tensor dimension.
setName(String) - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder: string name = 1;
setName(String) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: A name for the Tensor.
setName(String) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: Name of the event.
setName(String) - Method in class org.tensorflow.proto.profiler.XLine.Builder: Name of this XLine.
setName(String) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: Name of this line.
setName(String) - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder: Name of the stat (should be short).
setName(String) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder: string name = 2;
setName(String) - Method in class org.tensorflow.proto.util.SavedSlice.Builder: Name of the tensor that this slice belongs to.
setName(String) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Name of the tensor.
setName(String) - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder: Device name.
setName(String) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: The name of the specific benchmark or test (e.g.
setName(String) - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder: Metric name
setName(String) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: Benchmark target identifier.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Human-readable name of the node.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder: Human-readable name of the parameter.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.distruntime.JobDef.Builder: The name of this job.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder: The name of this job.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder: string name = 1;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder: string name = 1;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder: Name should be either like "CamelCaseName" or "Package.CamelCaseName".
setNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: string name = 1;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.CapturedTensor.Builder: Name of captured tensor
setNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: The name of the node.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: Fully specified name of the device within a cluster.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder: string name = 1;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder: string name = 1;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder: string name = 1;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder: string name = 1;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder: Name of an attr from the Op.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.NameAttrList.Builder: string name = 1;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.NamedDevice.Builder: string name = 1;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder: Name of the tensor.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder: string name = 1;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.NodeDef.Builder: The name given to this operator.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: Name for the input/output.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: A descriptive name for the argument.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Op names starting with an underscore are reserved for internal use.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder: Unique name of this resource.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder: string name = 1;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: string name = 6;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.SessionMetadata.Builder: string name = 1;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: For dense `Tensor`s, the name of the tensor in the graph.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim.Builder: Optional name of the tensor dimension.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder: string name = 1;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: A name for the Tensor.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: Name of the event.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.profiler.XLine.Builder: Name of this XLine.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: Name of this line.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder: Name of the stat (should be short).
setNameBytes(ByteString) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder: string name = 2;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.util.SavedSlice.Builder: Name of the tensor that this slice belongs to.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Name of the tensor.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder: Device name.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: The name of the specific benchmark or test (e.g.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder: Metric name
setNameBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: Benchmark target identifier.
setNamedTupleValue(NamedTupleValue) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents Python's namedtuple.
setNamedTupleValue(NamedTupleValue.Builder) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents Python's namedtuple.
setNestedContexts(int, ControlFlowContextDef) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Contexts contained inside this context (e.g.
setNestedContexts(int, ControlFlowContextDef.Builder) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Contexts contained inside this context (e.g.
setNestedContexts(int, ControlFlowContextDef) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g.
setNestedContexts(int, ControlFlowContextDef.Builder) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g.
setNode(int, CostGraphDef.Node) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
setNode(int, CostGraphDef.Node.Builder) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
setNode(int, NodeDef) - Method in class org.tensorflow.proto.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
setNode(int, NodeDef.Builder) - Method in class org.tensorflow.proto.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
setNode(String) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: The node name (optional).
setNodeBytes(ByteString) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: The node name (optional).
setNodeClass(NodeClass) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Class of this node.
setNodeClassValue(int) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Class of this node.
setNodeDef(int, NodeDef) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
setNodeDef(int, NodeDef.Builder) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
setNodeId(int) - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder: int32 node_id = 2;
setNodeId(int) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder: int32 node_id = 2;
setNodeId(int) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput.Builder: int32 node_id = 1;
setNodeId(int) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder: int32 node_id = 1;
setNodeId(int) - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder: int32 node_id = 1;
setNodeId(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference.Builder: An index into `TrackableObjectGraph.nodes`, indicating the object being referenced.
setNodeInfo(int, GraphTransferNodeInfo) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
setNodeInfo(int, GraphTransferNodeInfo.Builder) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
setNodeInput(int, GraphTransferNodeInput) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
setNodeInput(int, GraphTransferNodeInput.Builder) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
setNodeInputInfo(int, GraphTransferNodeInputInfo) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
setNodeInputInfo(int, GraphTransferNodeInputInfo.Builder) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
setNodeList(CollectionDef.NodeList) - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.NodeList node_list = 1;
setNodeList(CollectionDef.NodeList.Builder) - Method in class org.tensorflow.proto.framework.CollectionDef.Builder: .tensorflow.CollectionDef.NodeList node_list = 1;
setNodeName(String) - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: Name of the node to watch.
setNodeName(String) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: TODO(tucker): Use some more compact form of node identity than the full string name.
setNodeName(String) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: This field is deprecated and will not be set.
setNodeNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: Name of the node to watch.
setNodeNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: TODO(tucker): Use some more compact form of node identity than the full string name.
setNodeNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: This field is deprecated and will not be set.
setNodeOutputInfo(int, GraphTransferNodeOutputInfo) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
setNodeOutputInfo(int, GraphTransferNodeOutputInfo.Builder) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
setNodes(int, SavedObject) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
setNodes(int, SavedObject.Builder) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
setNodes(int, TrackableObjectGraph.TrackableObject) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
setNodes(int, TrackableObjectGraph.TrackableObject.Builder) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
setNodeStats(int, NodeExecStats) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
setNodeStats(int, NodeExecStats.Builder) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
setNoneValue(NoneValue) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents None.
setNoneValue(NoneValue.Builder) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents None.
setNoopElimination(boolean) - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder: bool noop_elimination = 14;
setNum(double) - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: double num = 3;
setNumAllocs(long) - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder: int64 num_allocs = 1;
setNumaNode(int) - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder: Optional NUMA locality of device.
setNumberAttr(String) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: if specified, attr must have type "int"
setNumberAttrBytes(ByteString) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: if specified, attr must have type "int"
setNumBytes(long) - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder: Number of bytes in the allocation.
setNumChannels(long) - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder: Number of channels of audio.
setNumChannelsPerTarget(int) - Method in class org.tensorflow.proto.framework.RPCOptions.Builder: Setting num_channels_per_target > 0 allows uses of multiple channels to communicate to the same target.
setNumCores(long) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Number of cores
setNumCores(long) - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder: int64 num_cores = 1;
setNumCoresAllowed(long) - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder: int64 num_cores_allowed = 2;
setNumDevices(int) - Method in class org.tensorflow.proto.data.DistributeOptions.Builder: int32 num_devices = 2;
setNumDevToDevCopyStreams(int) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: If > 1, the number of device-to-device copy streams to create for each GPUDevice.
setNumElements(long) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: The number of elements in the snapshot.
setNumElements(long) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: The number of elements produced by the node.
setNumFlatComponents(int) - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder: The number of flat tensor components required by this TypeSpec.
setNumOccurrences(long) - Method in class org.tensorflow.proto.profiler.XEvent.Builder: Number of occurrences of the event, if aggregated.
setNumOutputs(int) - Method in class org.tensorflow.proto.util.Execution.Builder: Number of output tensors.
setNumOutputs(int) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Number of output tensors emitted by the op.
setNumRecordsProduced(long) - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder: int64 num_records_produced = 3;
setNumRegisters(long) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Number of registers per core.
setNumReplicas(int) - Method in class org.tensorflow.proto.framework.AutoParallelOptions.Builder: int32 num_replicas = 2;
setNumShards(int) - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder: Number of data files in the bundle.
setNumThreads(int) - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto.Builder: The number of threads in the pool.
setObject(byte[], long) - Method in class org.tensorflow.internal.buffer.ByteSequenceTensorBuffer
setObjectGraphDef(SavedObjectGraph) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Extra information about the structure of functions and stateful objects.
setObjectGraphDef(SavedObjectGraph.Builder) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: Extra information about the structure of functions and stateful objects.
setObsoleteOldStyleHistogram(ByteString) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: bytes obsolete_old_style_histogram = 3;
setOffset(long) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: int64 offset = 4;
setOffset(long) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder: uint64 offset = 1;
setOffsetPs(long) - Method in class org.tensorflow.proto.profiler.XEvent.Builder: Start time of the event in picoseconds, as offset from XLine.timestamp_ns().
setOp(int, ApiDef) - Method in class org.tensorflow.proto.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
setOp(int, ApiDef.Builder) - Method in class org.tensorflow.proto.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
setOp(String) - Method in class org.tensorflow.proto.framework.KernelDef.Builder: Must match the name of an Op.
setOp(String) - Method in class org.tensorflow.proto.framework.NodeDef.Builder: The operation name.
setOp(String) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: The operation name.
setOp(int, OpDef) - Method in class org.tensorflow.proto.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
setOp(int, OpDef.Builder) - Method in class org.tensorflow.proto.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
setOp(OpInfo) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: The op
setOp(OpInfo.Builder) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: The op
setOpBytes(ByteString) - Method in class org.tensorflow.proto.framework.KernelDef.Builder: Must match the name of an Op.
setOpBytes(ByteString) - Method in class org.tensorflow.proto.framework.NodeDef.Builder: The operation name.
setOpBytes(ByteString) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: The operation name.
setOpDevice(String) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Device of the operation producing this tensor.
setOpDeviceBytes(ByteString) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Device of the operation producing this tensor.
setOpEndRelMicros(long) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 op_end_rel_micros = 4;
setOpEndRelNanos(long) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 op_end_rel_nanos = 15;
setOperation - Variable in class org.tensorflow.op.sparse.DenseToDenseSetOperation.Inputs: The setOperation attribute
setOperation - Variable in class org.tensorflow.op.sparse.DenseToSparseSetOperation.Inputs: The setOperation attribute
setOperation - Variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs: The setOperation attribute
setOperation(String) - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder: Name of the operation making the allocation.
setOperation(String) - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder: Name of the operation making the deallocation.
setOperation(String) - Method in class org.tensorflow.proto.framework.SavedConstant.Builder: An Operation name for a ConstantOp in this SavedObjectGraph's MetaGraph.
setOperationBytes(ByteString) - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder: Name of the operation making the allocation.
setOperationBytes(ByteString) - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder: Name of the operation making the deallocation.
setOperationBytes(ByteString) - Method in class org.tensorflow.proto.framework.SavedConstant.Builder: An Operation name for a ConstantOp in this SavedObjectGraph's MetaGraph.
setOperationTimeoutInMs(long) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Global timeout for all blocking operations in this session.
setOpId(long) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: The ID of the operation that produced this tensor.
setOpMemory(OpPerformance.OpMemory) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: .tensorflow.OpPerformance.OpMemory op_memory = 9;
setOpMemory(OpPerformance.OpMemory.Builder) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: .tensorflow.OpPerformance.OpMemory op_memory = 9;
setOpName(String) - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Name of the op (applicable only in the case of the `FULL_TENSOR` trace level).
setOpName(String) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Name of the op (e.g., "Dense/MatMul_1").
setOpName(String) - Method in class org.tensorflow.proto.util.MemChunk.Builder: string op_name = 5;
setOpNameBytes(ByteString) - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Name of the op (applicable only in the case of the `FULL_TENSOR` trace level).
setOpNameBytes(ByteString) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Name of the op (e.g., "Dense/MatMul_1").
setOpNameBytes(ByteString) - Method in class org.tensorflow.proto.util.MemChunk.Builder: string op_name = 5;
setOpPerformance(int, OpPerformance) - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
setOpPerformance(int, OpPerformance.Builder) - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
setOpStartRelMicros(long) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 op_start_rel_micros = 3;
setOpStartRelNanos(long) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 op_start_rel_nanos = 14;
setOptimizationOptions(OptimizationOptions) - Method in class org.tensorflow.proto.data.Options.Builder: The optimization options associated with the dataset.
setOptimizationOptions(OptimizationOptions.Builder) - Method in class org.tensorflow.proto.data.Options.Builder: The optimization options associated with the dataset.
setOptimizationParams(ModelProto.OptimizationParams) - Method in class org.tensorflow.proto.data.model.ModelProto.Builder: .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
setOptimizationParams(ModelProto.OptimizationParams.Builder) - Method in class org.tensorflow.proto.data.model.ModelProto.Builder: .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
setOptimizeForStaticGraph(boolean) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: If true, the session may treat the graph as being static for optimization purposes.
setOptimizerOptions(OptimizerOptions) - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: Options controlling how graph is optimized.
setOptimizerOptions(OptimizerOptions.Builder) - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: Options controlling how graph is optimized.
setOptimizers(int, String) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
setOptionalRestore(boolean) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: Whether checkpoints should be considered as matching even without this value restored.
setOptions(RunOptions) - Method in class org.tensorflow.Session.Runner: Set options (typically for debugging) for this run.
setOptLevel(OptimizerOptions.Level) - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder: Overall optimization level.
setOptLevelValue(int) - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder: Overall optimization level.
setOpts(int, String) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder: Bazel compilation options, if known
setOpType(String) - Method in class org.tensorflow.proto.util.Execution.Builder: Op type (e.g., "MatMul").
setOpType(String) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Type of the op (e.g., "MatMul").
setOpTypeBytes(ByteString) - Method in class org.tensorflow.proto.util.Execution.Builder: Op type (e.g., "MatMul").
setOpTypeBytes(ByteString) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Type of the op (e.g., "MatMul").
setOriginalFuncNames(int, String) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder: This is intended to store the list of names of the functions from the original graph that this node was derived.
setOriginalGraphDef(ByteString) - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: Original (uninstrumented) GraphDef (if available).
setOriginalNodeNames(int, String) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder: Opaque string inserted into error messages created by the runtime.
setOriginalVariableNodeId(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder: An index into `TrackableObjectGraph.nodes`, indicating the variable object this slot was created for.
setOutArg(int, ApiDef.Arg) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
setOutArg(int, ApiDef.Arg.Builder) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
setOuterContextId(String) - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: IDs of the immediate enclosing context (graph), if any.
setOuterContextIdBytes(ByteString) - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder: IDs of the immediate enclosing context (graph), if any.
setOutput(long) - Method in class org.tensorflow.proto.data.model.ModelProto.Builder: ID of the output node of this model.
setOutput(int, NodeOutput) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
setOutput(int, NodeOutput.Builder) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
setOutputArg(int, OpDef.ArgDef) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the output(s).
setOutputArg(int, OpDef.ArgDef.Builder) - Method in class org.tensorflow.proto.framework.OpDef.Builder: Description of the output(s).
setOutputCount(int) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder: int32 output_count = 7;
setOutputInfo(int, CostGraphDef.Node.OutputInfo) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
setOutputInfo(int, CostGraphDef.Node.OutputInfo.Builder) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
setOutputMemory(int, long) - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder: The output information may have memory usage and output shapes.
setOutputNum(int) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: The index into the outputs of the operation that produced this tensor.
setOutputPartitionGraphs(boolean) - Method in class org.tensorflow.proto.framework.RunOptions.Builder: Whether the partition graph(s) executed by the executor(s) should be outputted via RunMetadata.
setOutputPort(int) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput.Builder: int32 output_port = 2;
setOutputs(int, OpInfo.TensorProperties) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Optional description of the op outputs
setOutputs(int, OpInfo.TensorProperties.Builder) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Optional description of the op outputs
setOutputSignature(StructuredValue) - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder: Output that was the return value of this function after replacing all Tensors with TensorSpecs.
setOutputSignature(StructuredValue.Builder) - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder: Output that was the return value of this function after replacing all Tensors with TensorSpecs.
setOutputSlot(int) - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: Output slot to watch.
setOutputSlot(int) - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Output slot of the tensor (applicable only in the case of the `FULL_TENSOR` trace level).
setOutputTensorDeviceIds(int, int) - Method in class org.tensorflow.proto.util.Execution.Builder: Debugged-generated IDs of the devices on which the output tensors reside.
setOutputTensorIds(int, long) - Method in class org.tensorflow.proto.util.Execution.Builder: IDs of the output tensors (if availbable).
setOutputTensorIds(int, int) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder: Unique IDs for the output tensors of this op.
setPaddingId(int) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder: int32 padding_id = 5;
setParallelBatch(boolean) - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder: bool parallel_batch = 15;
setParallelIterations(int) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: The number of iterations allowed to run in parallel.
setParameters(int, ModelProto.Node.Parameter) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Parameters of this node.
setParameters(int, ModelProto.Node.Parameter.Builder) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Parameters of this node.
setPartitionGraphs(int, GraphDef) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
setPartitionGraphs(int, GraphDef.Builder) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
setPartitionGraphs(int, GraphDef) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
setPartitionGraphs(int, GraphDef.Builder) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
setPeakBytes(long) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: int64 peak_bytes = 3;
setPeakBytesInUse(long) - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder: int64 peak_bytes_in_use = 3;
setPendingChangelist(long) - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder: Changelist tested if the change list is not already submitted.
setPerProcessGpuMemoryFraction(double) - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: Fraction of the available GPU memory to allocate for each process.
setPersistentMemory(long) - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder: int64 persistent_memory = 4;
setPersistentMemorySize(long) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Persistent memory used by this node.
setPersistentMemorySize(long) - Method in class org.tensorflow.proto.framework.MemoryStats.Builder: int64 persistent_memory_size = 3;
setPersistentTensorAllocIds(int, long) - Method in class org.tensorflow.proto.framework.MemoryStats.Builder: repeated int64 persistent_tensor_alloc_ids = 5;
setPhysicalDescription(String) - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder: The physical description of this device.
setPhysicalDescriptionBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder: The physical description of this device.
setPhysicalDeviceDesc(String) - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: String representation of the physical device that this device maps to.
setPhysicalDeviceDescBytes(ByteString) - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: String representation of the physical device that this device maps to.
setPinToHostOptimization(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Force small ops onto the CPU (default is OFF).
setPinToHostOptimizationValue(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Force small ops onto the CPU (default is OFF).
setPivotForBodyName(String) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Name of the pivot_for_body tensor.
setPivotForBodyNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Name of the pivot_for_body tensor.
setPivotForPredName(String) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Name of the pivot_for_pred tensor.
setPivotForPredNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Name of the pivot_for_pred tensor.
setPivotName(String) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Name of the pivot tensor.
setPivotName(String) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Name of the pivot tensor.
setPivotNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Name of the pivot tensor.
setPivotNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Name of the pivot tensor.
setPlaceholder(String) - Method in class org.tensorflow.proto.framework.AttrValue.Builder: This is a placeholder only used in nodes defined inside a function.
setPlaceholderBytes(ByteString) - Method in class org.tensorflow.proto.framework.AttrValue.Builder: This is a placeholder only used in nodes defined inside a function.
setPlacementPeriod(int) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Assignment of Nodes to Devices is recomputed every placement_period steps until the system warms up (at which point the recomputation typically slows down automatically).
setPlacePrunedGraph(boolean) - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: Only place the subgraphs that are run, rather than the entire graph.
setPlanes(int, XPlane) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
setPlanes(int, XPlane.Builder) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
setPlatformInfo(PlatformInfo) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Additional platform information.
setPlatformInfo(PlatformInfo.Builder) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Additional platform information.
setPluginData(SummaryMetadata.PluginData) - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder: Data that associates a summary with a certain plugin.
setPluginData(SummaryMetadata.PluginData.Builder) - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder: Data that associates a summary with a certain plugin.
setPluginName(String) - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData.Builder: The name of the plugin this data pertains to.
setPluginNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData.Builder: The name of the plugin this data pertains to.
setPollingActiveDelayUsecs(int) - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty.
setPollingInactiveDelayMsecs(int) - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: This field is deprecated and ignored.
setPort(long) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: The port for the dispatcher to bind to.
setPort(long) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The port for the worker to bind to.
setPort(int) - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The server port.
setPostOptimizationGraph(GraphDef) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef post_optimization_graph = 3;
setPostOptimizationGraph(GraphDef.Builder) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef post_optimization_graph = 3;
setPostOptimizationVerifierConfig(VerifierConfig) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
setPostOptimizationVerifierConfig(VerifierConfig.Builder) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
setPrecedingNode(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo.Builder: int32 preceding_node = 1;
setPrecedingPort(int) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo.Builder: int32 preceding_port = 2;
setPredName(String) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Name of the pred tensor.
setPredNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Name of the pred tensor.
setPreOptimizationGraph(GraphDef) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef pre_optimization_graph = 2;
setPreOptimizationGraph(GraphDef.Builder) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef pre_optimization_graph = 2;
setPriority(int, int) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder: Priority values to use with the virtual devices.
setPriority(int) - Method in class org.tensorflow.proto.framework.KernelDef.Builder: Prioritization of kernel amongst different devices.
setPriority(long) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions.Builder: Priority of the request.
setPrivateThreadpoolSize(int) - Method in class org.tensorflow.proto.data.ThreadingOptions.Builder: int32 private_threadpool_size = 2;
setProcessingTime(long) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: The aggregate processing time spent in this node.
setProducer(int) - Method in class org.tensorflow.proto.framework.VersionDef.Builder: The version of the code that produced this data.
setProfilerOptions(ProfileOptions) - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder: Options for each local profiler.
setProfilerOptions(ProfileOptions.Builder) - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder: Options for each local profiler.
setProperties(DeviceProperties) - Method in class org.tensorflow.proto.framework.NamedDevice.Builder: .tensorflow.DeviceProperties properties = 2;
setProperties(DeviceProperties.Builder) - Method in class org.tensorflow.proto.framework.NamedDevice.Builder: .tensorflow.DeviceProperties properties = 2;
setProtocol(String) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: The protocol for the dispatcher to use when connecting to workers.
setProtocol(String) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The protocol for the worker to use when connecting to the dispatcher.
setProtocol(String) - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The protocol to be used by this server.
setProtocolBytes(ByteString) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: The protocol for the dispatcher to use when connecting to workers.
setProtocolBytes(ByteString) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The protocol for the worker to use when connecting to the dispatcher.
setProtocolBytes(ByteString) - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The protocol to be used by this server.
setPtr(long) - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder: Address of the allocation.
setPtr(long) - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder: Address of the allocation.
setPythonTracerLevel(int) - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: Whether enable python function calls tracing.
setQueueClosedExceptionTypes(int, Code) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
setQueueClosedExceptionTypesValue(int, int) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
setQueueName(String) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: Queue name.
setQueueNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder: Queue name.
setRamBudget(long) - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder: int64 ram_budget = 3;
setRamBudget(long) - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder: Amount of available memory in bytes.
setRatio(double) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: Ratio of input to output elements.
setRecordMetrics(boolean) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder: An indication whether this node records metrics about produced and consumed elements.
setRecvBufMaxChunk(int) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Guidance to formatting of large RecvBuf fields for transfer.
setReferencedTensor(int, AllocationDescription) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
setReferencedTensor(int, AllocationDescription.Builder) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
setRefValue(long) - Method in class org.tensorflow.proto.profiler.XStat.Builder: A string value that stored in XStatMetadata::name.
setRegisteredGradients(int, RegisteredGradient) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
setRegisteredGradients(int, RegisteredGradient.Builder) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
setRegisteredName(String) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: The fields below are filled when the user serializes a registered Trackable class.
setRegisteredNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: The fields below are filled when the user serializes a registered Trackable class.
setRegisteredOpType(String) - Method in class org.tensorflow.proto.framework.RegisteredGradient.Builder: The gradient function's registered op type.
setRegisteredOpTypeBytes(ByteString) - Method in class org.tensorflow.proto.framework.RegisteredGradient.Builder: The gradient function's registered op type.
setRelease(String) - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
setReleaseBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
setRemapping(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Remapping (default is ON) Remap subgraphs onto more efficient implementations.
setRemappingValue(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Remapping (default is ON) Remap subgraphs onto more efficient implementations.
setRenameTo(String) - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder: Change the name used to access this arg in the API from what is used in the GraphDef.
setRenameTo(String) - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder: Change the name used to access this attr in the API from what is used in the GraphDef.
setRenameToBytes(ByteString) - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder: Change the name used to access this arg in the API from what is used in the GraphDef.
setRenameToBytes(ByteString) - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder: Change the name used to access this attr in the API from what is used in the GraphDef.
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.DistributeOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.model.ModelProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.Options.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.ThreadingOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.distruntime.JobDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.example.BytesList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.example.Example.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.example.Feature.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.example.FeatureList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.example.FeatureLists.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.example.Features.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.example.FloatList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.example.Int64List.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.example.SequenceExample.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.AllocationRecord.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.ApiDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.ApiDefs.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.AttrValue.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.AutoParallelOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.CapturedTensor.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.CollectionDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.DebugOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.DictValue.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.GPUOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.GradientDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.GraphDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.GraphOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.HistogramProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.KernelDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.KernelList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.ListValue.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.LocalLinks.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.LogNormalDistribution.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.MemoryLogStep.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.MemoryStats.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.NameAttrList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.NamedDevice.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.NodeDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.NodeOutput.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.NoneValue.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.NormalDistribution.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.OpDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.OpDeprecation.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.OpInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.OpList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.PairValue.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.RegisteredGradient.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.RPCOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.RunOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.SaveableObject.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.SavedAsset.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.SavedConstant.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.SavedFunction.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.SavedModel.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.SavedObject.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.SavedResource.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.SessionInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.SessionMetadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.SignatureDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.Status.DerivedStatus.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.StepStats.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.Summary.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.Summary.Image.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.SummaryDescription.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.TensorConnection.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.TensorDescription.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.TensorInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.TensorProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.TupleValue.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.ValuesDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.VariableDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.VerifierConfig.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.VersionDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.profiler.XEvent.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.profiler.XLine.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.profiler.XPlane.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.profiler.XSpace.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.profiler.XStat.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.BinSummary.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.CodeLocation.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.DebugEvent.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.DebuggedDevice.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.DebugMetadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.Event.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.Execution.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.MemChunk.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.MemoryDump.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.RequestedExitCode.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.SavedSlice.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.SaverDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.SessionLog.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.SnapShot.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.SourceFile.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.TaggedRunMetadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.testlog.EntryValue.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.testlog.MemoryInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.WatchdogConfig.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder
setReportTensorAllocationsUponOom(boolean) - Method in class org.tensorflow.proto.framework.RunOptions.Builder: When enabled, causes tensor allocation information to be included in the error message when the Run() call fails because the allocator ran out of memory (OOM).
setRepositoryPath(String) - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: Directory to save profile data to.
setRepositoryPathBytes(ByteString) - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: Directory to save profile data to.
setRequestedBytes(long) - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder: Total number of bytes requested
setRequestedSize(long) - Method in class org.tensorflow.proto.util.MemChunk.Builder: int64 requested_size = 3;
setResetDiskByteUsage(boolean) - Method in class org.tensorflow.proto.framework.DebugOptions.Builder: Whether the total disk usage of tfdbg is to be reset to zero in this Session.run call.
setResource(SavedResource) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedResource resource = 10;
setResource(SavedResource.Builder) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedResource resource = 10;
setResourceDtypesAndShapes(int, ResourceDtypeAndShape) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
setResourceDtypesAndShapes(int, ResourceDtypeAndShape.Builder) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
setResourceHandleVal(int, ResourceHandleProto) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_RESOURCE
setResourceHandleVal(int, ResourceHandleProto.Builder) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_RESOURCE
setRestoreFunction(int) - Method in class org.tensorflow.proto.framework.SaveableObject.Builder: int32 restore_function = 3;
setRestoreOpName(String) - Method in class org.tensorflow.proto.util.SaverDef.Builder: The operation to run when restoring a model checkpoint.
setRestoreOpNameBytes(ByteString) - Method in class org.tensorflow.proto.util.SaverDef.Builder: The operation to run when restoring a model checkpoint.
setRewriteOptions(RewriterConfig) - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: Options that control the type and amount of graph rewriting.
setRewriteOptions(RewriterConfig.Builder) - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: Options that control the type and amount of graph rewriting.
setRpcOptions(RPCOptions) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Options that apply when this session uses the distributed runtime.
setRpcOptions(RPCOptions.Builder) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: Options that apply when this session uses the distributed runtime.
setRunConfiguration(RunConfiguration) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: Run-specific parameters (arguments, etc)
setRunConfiguration(RunConfiguration.Builder) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: Run-specific parameters (arguments, etc)
setRunHandlerPoolOptions(RunOptions.Experimental.RunHandlerPoolOptions) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder: .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
setRunHandlerPoolOptions(RunOptions.Experimental.RunHandlerPoolOptions.Builder) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder: .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
setRunId(String) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: Run ID that this snapshot corresponds to.
setRunIdBytes(ByteString) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: Run ID that this snapshot corresponds to.
setRunMetadata(ByteString) - Method in class org.tensorflow.proto.util.TaggedRunMetadata.Builder: Byte-encoded version of the `RunMetadata` proto in order to allow lazy deserialization.
setRunMode(String) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: Used for differentiating between continuous and debug builds.
setRunModeBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: Used for differentiating between continuous and debug builds.
setRunOptions(RunOptions) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Options that will be applied to each run.
setRunOptions(RunOptions.Builder) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Options that will be applied to each run.
setRunTime(double) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The amount of time the total run took (wall time in seconds)
setS(ByteString) - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "string"
setS(int, ByteString) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(string)"
setS(String) - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: string s = 3;
setSampleRate(float) - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder: Sample rate of the audio in Hz.
setSavedModelSchemaVersion(long) - Method in class org.tensorflow.proto.framework.SavedModel.Builder: The schema version of the SavedModel instance.
setSaveFunction(int) - Method in class org.tensorflow.proto.framework.SaveableObject.Builder: Node ids of concrete functions for saving and loading from a checkpoint.
setSaverDef(SaverDef) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: SaverDef.
setSaverDef(SaverDef.Builder) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder: SaverDef.
setSaveSliceInfoDef(SaveSliceInfoDef) - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Support for saving variables as slices of a larger variable.
setSaveSliceInfoDef(SaveSliceInfoDef.Builder) - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Support for saving variables as slices of a larger variable.
setSaveTensorName(String) - Method in class org.tensorflow.proto.util.SaverDef.Builder: The operation to run when saving a model checkpoint.
setSaveTensorNameBytes(ByteString) - Method in class org.tensorflow.proto.util.SaverDef.Builder: The operation to run when saving a model checkpoint.
setSBytes(ByteString) - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: string s = 3;
setScheduledMicros(long) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 scheduled_micros = 9;
setScheduledNanos(long) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: int64 scheduled_nanos = 17;
setScomplexVal(int, float) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_COMPLEX64.
setScopedAllocatorOptimization(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
setScopedAllocatorOptimizationValue(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
setScopedAllocatorOpts(ScopedAllocatorOptions) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
setScopedAllocatorOpts(ScopedAllocatorOptions.Builder) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
setSerialIdentifier(String) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Unique serial number of the machine.
setSerialIdentifierBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder: Unique serial number of the machine.
setSerializedUserProto(Any) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: The user-generated proto storing metadata for this object, to be passed to the registered classes's _deserialize_from_proto method when this object is loaded from the SavedModel.
setSerializedUserProto(Any.Builder) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: The user-generated proto storing metadata for this object, to be passed to the registered classes's _deserialize_from_proto method when this object is loaded from the SavedModel.
setServiceAddresses(int, String) - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder: List of servers to profile.
setSessionCreationTimestampNs(long) - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder: Unix timestamp of when the session was started.
setSessionInfo(SessionInfo) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Information about the session configs.
setSessionInfo(SessionInfo.Builder) - Method in class org.tensorflow.proto.framework.OpInfo.Builder: Information about the session configs.
setSessionInfo(SessionInfo) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: Deprecated.
setSessionInfo(SessionInfo.Builder) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: Deprecated.
setSessionInterOpThreadPool(int, ThreadPoolOptionProto) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
setSessionInterOpThreadPool(int, ThreadPoolOptionProto.Builder) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
setSessionLog(SessionLog) - Method in class org.tensorflow.proto.util.Event.Builder: The state of the session which can be used for restarting after crashes.
setSessionLog(SessionLog.Builder) - Method in class org.tensorflow.proto.util.Event.Builder: The state of the session which can be used for restarting after crashes.
setSessionMetadata(SessionMetadata) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Metadata about the session.
setSessionMetadata(SessionMetadata.Builder) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Metadata about the session.
setShape - Variable in class org.tensorflow.op.core.SetSize.Inputs: 1D Tensor, shape of a SparseTensor.
setShape(TensorShapeProto) - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto) - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "shape"
setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "shape"
setShape(int, TensorShapeProto) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(shape)"
setShape(int, TensorShapeProto.Builder) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(shape)"
setShape(TensorShapeProto) - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.TensorShapeProto shape = 3;
setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.TensorShapeProto shape = 3;
setShape(int, long) - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder: repeated int64 shape = 3;
setShape(int, long) - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder: repeated int64 shape = 2;
setShape(int, long) - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder: repeated int64 shape = 2;
setShape(TensorShapeProto) - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto) - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto) - Method in class org.tensorflow.proto.framework.TensorDescription.Builder: Shape of the tensor.
setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.framework.TensorDescription.Builder: Shape of the tensor.
setShape(TensorShapeProto) - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Shape of the tensor
setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Shape of the tensor
setShapeOptimization(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Shape optimizations (default is ON) Simplify computations made on shapes.
setShapeOptimizationValue(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Shape optimizations (default is ON) Simplify computations made on shapes.
setShapesOutputTensorName(String) - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder: string shapes_output_tensor_name = 4;
setShapesOutputTensorNameBytes(ByteString) - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder: string shapes_output_tensor_name = 4;
setSharded(boolean) - Method in class org.tensorflow.proto.util.SaverDef.Builder: Shard the save files, one per device that has Variable nodes.
setShardId(int) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
setShardingPolicy(DataService.ProcessingModeDef.ShardingPolicy) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder: .tensorflow.data.ProcessingModeDef.ShardingPolicy sharding_policy = 1;
setShardingPolicyValue(int) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder: .tensorflow.data.ProcessingModeDef.ShardingPolicy sharding_policy = 1;
setShareClusterDevicesInSession(boolean) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: When true, WorkerSessions are created with device attributes from the full cluster.
setShareClusterDevicesInSession(boolean) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: This was promoted to a non-experimental API.
setSharedMemorySizePerMultiprocessor(long) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Shared memory size per multiprocessor in bytes.
setShareSessionStateInClusterspecPropagation(boolean) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: In the following, session state means the value of a variable, elements in a hash table, or any other resource, accessible by worker sessions held by a TF server.
setShuffleAndRepeatFusion(boolean) - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder: bool shuffle_and_repeat_fusion = 17;
setShutdownMode(WorkerShutdownMode) - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder: .tensorflow.WorkerShutdownMode shutdown_mode = 1;
setShutdownModeValue(int) - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder: .tensorflow.WorkerShutdownMode shutdown_mode = 1;
setShutdownQuietPeriodMs(long) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: When shutting down a worker, how long to wait for the gRPC server to process the final requests.
setSigma(double) - Method in class org.tensorflow.proto.framework.LogNormalDistribution.Builder: double sigma = 2;
setSigma(double) - Method in class org.tensorflow.proto.framework.NormalDistribution.Builder: double sigma = 2;
setSignature(OpDef) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: The definition of the function's name, arguments, return values, attrs etc.
setSignature(OpDef.Builder) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder: The definition of the function's name, arguments, return values, attrs etc.
setSimpleValue(float) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: float simple_value = 2;
SetSize - Class in org.tensorflow.op.core: Number of unique elements along last dimension of input set.
SetSize(Operation) - Constructor for class org.tensorflow.op.core.SetSize
setSize(Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>, SetSize.Options...) - Method in class org.tensorflow.op.Ops: Number of unique elements along last dimension of input set.
setSize(long) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder: int64 size = 1;
setSize(long) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim.Builder: Size of the tensor in that dimension.
setSize(long) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: int64 size = 5;
setSize(long) - Method in class org.tensorflow.proto.util.MemChunk.Builder: int64 size = 2;
setSize(long) - Method in class org.tensorflow.proto.util.SnapShot.Builder: int64 size = 2;
SetSize.Inputs - Class in org.tensorflow.op.core
SetSize.Options - Class in org.tensorflow.op.core: Optional attributes for SetSize
setSlack(boolean) - Method in class org.tensorflow.proto.data.Options.Builder: bool slack = 4;
setSlice(TensorSliceProto) - Method in class org.tensorflow.proto.util.SavedSlice.Builder: Extent of the slice.
setSlice(TensorSliceProto.Builder) - Method in class org.tensorflow.proto.util.SavedSlice.Builder: Extent of the slice.
setSlice(int, TensorSliceProto) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
setSlice(int, TensorSliceProto.Builder) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
setSlices(int, TensorSliceProto) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
setSlices(int, TensorSliceProto.Builder) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
setSlot(int) - Method in class org.tensorflow.proto.framework.NodeOutput.Builder: int32 slot = 1;
setSlotName(String) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder: The name of the slot (e.g.
setSlotNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder: The name of the slot (e.g.
setSlotVariableNodeId(int) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder: An index into `TrackableObjectGraph.nodes`, indicating the `Object` with the value of the slot variable.
setSlotVariables(int, TrackableObjectGraph.TrackableObject.SlotVariableReference) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Slot variables owned by this object.
setSlotVariables(int, TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: Slot variables owned by this object.
setSlotVariables(int, TrackableObjectGraph.TrackableObject.SlotVariableReference) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
setSlotVariables(int, TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
setSnapShot(int, SnapShot) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
setSnapShot(int, SnapShot.Builder) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
setSnapshot(String) - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder: Hash of intermediate change between hash/changelist and what was tested.
setSnapshotBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder: Hash of intermediate change between hash/changelist and what was tested.
setSnapshotName(String) - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Name of the snapshot tensor.
setSnapshotNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Name of the snapshot tensor.
setSocOpId(int) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder: int32 soc_op_id = 4;
setSourceFile(SourceFile) - Method in class org.tensorflow.proto.util.DebugEvent.Builder: The content of a source file.
setSourceFile(SourceFile.Builder) - Method in class org.tensorflow.proto.util.DebugEvent.Builder: The content of a source file.
setSourceFiles(int, DebuggedSourceFile) - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder: A collection of source code files.
setSourceFiles(int, DebuggedSourceFile.Builder) - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder: A collection of source code files.
setStackFrameIds(int, String) - Method in class org.tensorflow.proto.util.CodeLocation.Builder: ID to a stack frame, each of which is pointed to by a unique ID.
setStackFrameWithId(StackFrameWithId) - Method in class org.tensorflow.proto.util.DebugEvent.Builder: A stack frame (filename, line number and column number, function name and code string) with ID.
setStackFrameWithId(StackFrameWithId.Builder) - Method in class org.tensorflow.proto.util.DebugEvent.Builder: A stack frame (filename, line number and column number, function name and code string) with ID.
setStart(long) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent.Builder: Start index of the slice, starting at 0.
setStartTime(long) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The time the run started (in seconds of UTC time since Unix epoch)
setStartTimestampNs(long) - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: The local profiler starts profiling at this Unix timestamp in nanoseconds.
setStateValue(double) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder: The actual value of the parameter.
setStats(int, XStat) - Method in class org.tensorflow.proto.profiler.XEvent.Builder: XStats associated with the event.
setStats(int, XStat.Builder) - Method in class org.tensorflow.proto.profiler.XEvent.Builder: XStats associated with the event.
setStats(int, XStat) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
setStats(int, XStat.Builder) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
setStats(int, XStat) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XStats associated with this plane, e.g.
setStats(int, XStat.Builder) - Method in class org.tensorflow.proto.profiler.XPlane.Builder: XStats associated with this plane, e.g.
setStats(MemAllocatorStats) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: .tensorflow.MemAllocatorStats stats = 5;
setStats(MemAllocatorStats.Builder) - Method in class org.tensorflow.proto.util.MemoryDump.Builder: .tensorflow.MemAllocatorStats stats = 5;
SetStatsAggregatorDataset - Class in org.tensorflow.op.data.experimental: The ExperimentalSetStatsAggregatorDataset operation
SetStatsAggregatorDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset
SetStatsAggregatorDataset - Class in org.tensorflow.op.data: The SetStatsAggregatorDataset operation
SetStatsAggregatorDataset(Operation) - Constructor for class org.tensorflow.op.data.SetStatsAggregatorDataset
setStatsAggregatorDataset(Operand<? extends TType>, Operand<? extends TType>, Operand<TString>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: The SetStatsAggregatorDataset operation
SetStatsAggregatorDataset.Inputs - Class in org.tensorflow.op.data.experimental
SetStatsAggregatorDataset.Inputs - Class in org.tensorflow.op.data
setStatus(SessionLog.SessionStatus) - Method in class org.tensorflow.proto.util.SessionLog.Builder: .tensorflow.SessionLog.SessionStatus status = 1;
setStatusValue(int) - Method in class org.tensorflow.proto.util.SessionLog.Builder: .tensorflow.SessionLog.SessionStatus status = 1;
setStep(long) - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Step of training (if available).
setStep(long) - Method in class org.tensorflow.proto.util.Event.Builder: Global step of the event.
setStepId(long) - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder: Process-unique step id.
setStepId(long) - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder: Process-unique step id.
setStepId(long) - Method in class org.tensorflow.proto.framework.MemoryLogStep.Builder: Process-unique step id.
setStepId(long) - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder: Process-unique step id.
setStepId(long) - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder: Process-unique step id.
setStepId(long) - Method in class org.tensorflow.proto.util.MemChunk.Builder: uint64 step_id = 9;
setStepStats(StepStats) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: Statistics traced for this step.
setStepStats(StepStats.Builder) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder: Statistics traced for this step.
setStrength(int) - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder: int32 strength = 3;
setStringVal(int, ByteString) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_STRING
setStringValue(String) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a string of Unicode characters stored in a Python `str`.
setStringValue(String) - Method in class org.tensorflow.proto.util.testlog.EntryValue.Builder: string string_value = 2;
setStringValueBytes(ByteString) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a string of Unicode characters stored in a Python `str`.
setStringValueBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.EntryValue.Builder: string string_value = 2;
setStrippedDefaultAttrs(boolean) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: A flag to denote whether default-valued attrs have been stripped from the nodes in this graph_def.
setStrippedOpList(OpList) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: A copy of the OpDefs used by the producer of this graph_def.
setStrippedOpList(OpList.Builder) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: A copy of the OpDefs used by the producer of this graph_def.
setStructureVerifier(VerifierConfig.Toggle) - Method in class org.tensorflow.proto.framework.VerifierConfig.Builder: Perform structural validation on a tensorflow graph.
setStructureVerifierValue(int) - Method in class org.tensorflow.proto.framework.VerifierConfig.Builder: Perform structural validation on a tensorflow graph.
setStrValue(String) - Method in class org.tensorflow.proto.profiler.XStat.Builder: string str_value = 5;
setStrValueBytes(ByteString) - Method in class org.tensorflow.proto.profiler.XStat.Builder: string str_value = 5;
setSum(double) - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: double sum = 4;
setSummary(String) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: One-line human-readable description of what the Op does.
setSummary(String) - Method in class org.tensorflow.proto.framework.OpDef.Builder: One-line human-readable description of what the Op does.
setSummary(Summary) - Method in class org.tensorflow.proto.util.Event.Builder: A summary was generated.
setSummary(Summary.Builder) - Method in class org.tensorflow.proto.util.Event.Builder: A summary was generated.
setSummaryBytes(ByteString) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: One-line human-readable description of what the Op does.
setSummaryBytes(ByteString) - Method in class org.tensorflow.proto.framework.OpDef.Builder: One-line human-readable description of what the Op does.
setSummaryDescription(String) - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder: Longform readable description of the summary sequence.
setSummaryDescriptionBytes(ByteString) - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder: Longform readable description of the summary sequence.
setSumSquares(double) - Method in class org.tensorflow.proto.framework.HistogramProto.Builder: double sum_squares = 5;
setSwapMemory(boolean) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Whether GPU-CPU memory swap is enabled for this loop.
setSynchronization(VariableSynchronization) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: .tensorflow.VariableSynchronization synchronization = 4;
setSynchronization(VariableSynchronization) - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Indicates when a distributed variable will be synced.
setSynchronizationValue(int) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: .tensorflow.VariableSynchronization synchronization = 4;
setSynchronizationValue(int) - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Indicates when a distributed variable will be synced.
setSystem(String) - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
setSystemBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
setTag(String) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: Tag name for the data.
setTag(String) - Method in class org.tensorflow.proto.util.TaggedRunMetadata.Builder: Tag name associated with this metadata.
setTagBytes(ByteString) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: Tag name for the data.
setTagBytes(ByteString) - Method in class org.tensorflow.proto.util.TaggedRunMetadata.Builder: Tag name associated with this metadata.
setTaggedRunMetadata(TaggedRunMetadata) - Method in class org.tensorflow.proto.util.Event.Builder: The metadata returned by running a session.run() call.
setTaggedRunMetadata(TaggedRunMetadata.Builder) - Method in class org.tensorflow.proto.util.Event.Builder: The metadata returned by running a session.run() call.
setTags(int, String) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: User supplied tag(s) on the meta_graph and included graph_def.
setTarget(int, String) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Target Nodes.
setTarget(String) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The target of the run, e.g.: //tensorflow/core:kernels_adjust_contrast_op_benchmark_test
setTargetBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: The target of the run, e.g.: //tensorflow/core:kernels_adjust_contrast_op_benchmark_test
setTaskIndex(int) - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder: The task index of this server in its job.
setTempMemory(long) - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder: Temp and persistent memory allocated by this node.
setTempMemorySize(long) - Method in class org.tensorflow.proto.framework.MemoryStats.Builder: int64 temp_memory_size = 1;
setTemporaryMemorySize(long) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder: Temporary memory used by this node.
setTemporaryMemorySize(long) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder: Temporary memory used by this node (in bytes).
setTensor(int, TensorProto) - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
setTensor(int, TensorProto.Builder) - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
setTensor(TensorProto) - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "tensor"
setTensor(TensorProto.Builder) - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "tensor"
setTensor(int, TensorProto) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(tensor)"
setTensor(int, TensorProto.Builder) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(tensor)"
setTensor(TensorDescription) - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder: Allocated tensor details.
setTensor(TensorDescription.Builder) - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder: Allocated tensor details.
setTensor(TensorDescription) - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder: Output tensor details.
setTensor(TensorDescription.Builder) - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder: Output tensor details.
setTensor(TensorProto) - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
setTensor(TensorProto.Builder) - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
setTensor(TensorProto) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.TensorProto tensor = 8;
setTensor(TensorProto.Builder) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder: .tensorflow.TensorProto tensor = 8;
setTensor(int, SavedSliceMeta) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
setTensor(int, SavedSliceMeta.Builder) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
setTensorConnection(int, TensorConnection) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Tensors to be connected in the callable.
setTensorConnection(int, TensorConnection.Builder) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder: Tensors to be connected in the callable.
setTensorContent(int, ByteString) - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra.Builder: repeated bytes tensor_content = 1;
setTensorContent(ByteString) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
setTensorDebugMode(TensorDebugMode) - Method in class org.tensorflow.proto.util.Execution.Builder: Type of the tensor value encapsulated in this proto.
setTensorDebugMode(TensorDebugMode) - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Type of the tensor value encapsulated in this proto.
setTensorDebugModeValue(int) - Method in class org.tensorflow.proto.util.Execution.Builder: Type of the tensor value encapsulated in this proto.
setTensorDebugModeValue(int) - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Type of the tensor value encapsulated in this proto.
setTensorDescription(TensorDescription) - Method in class org.tensorflow.proto.framework.NodeOutput.Builder: .tensorflow.TensorDescription tensor_description = 3;
setTensorDescription(TensorDescription.Builder) - Method in class org.tensorflow.proto.framework.NodeOutput.Builder: .tensorflow.TensorDescription tensor_description = 3;
setTensorDtypeValue(DataType) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents an enum value for dtype.
setTensorDtypeValueValue(int) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents an enum value for dtype.
setTensorflowGitVersion(String) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: The __git_version__ string of the tensorflow build used to write this graph.
setTensorflowGitVersionBytes(ByteString) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: The __git_version__ string of the tensorflow build used to write this graph.
setTensorflowVersion(String) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: The __version__ string of the tensorflow build used to write this graph.
setTensorflowVersion(String) - Method in class org.tensorflow.proto.util.DebugMetadata.Builder: Version of TensorFlow.
setTensorflowVersionBytes(ByteString) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder: The __version__ string of the tensorflow build used to write this graph.
setTensorflowVersionBytes(ByteString) - Method in class org.tensorflow.proto.util.DebugMetadata.Builder: Version of TensorFlow.
setTensorInfo(TensorInfo) - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder: The tensor to bind the asset filename to.
setTensorInfo(TensorInfo.Builder) - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder: The tensor to bind the asset filename to.
setTensorMetadata(int, TensorMetadata) - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
setTensorMetadata(int, TensorMetadata.Builder) - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
setTensorProto(TensorProto) - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Tensor value in the type described by `tensor_value_type`.
setTensorProto(TensorProto.Builder) - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Tensor value in the type described by `tensor_value_type`.
setTensorProtos(int, TensorProto) - Method in class org.tensorflow.proto.util.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
setTensorProtos(int, TensorProto.Builder) - Method in class org.tensorflow.proto.util.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
setTensors(int, TensorProto) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
setTensors(int, TensorProto.Builder) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
setTensorShape(TensorShapeProto) - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder: .tensorflow.TensorShapeProto tensor_shape = 2;
setTensorShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder: .tensorflow.TensorShapeProto tensor_shape = 2;
setTensorShape(TensorShapeProto) - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: The static shape should be recorded here, to the extent that it can be known in advance.
setTensorShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.framework.TensorInfo.Builder: The static shape should be recorded here, to the extent that it can be known in advance.
setTensorShape(TensorShapeProto) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: Shape of the tensor.
setTensorShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: Shape of the tensor.
setTensorShapeValue(TensorShapeProto) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a TensorShape.
setTensorShapeValue(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a TensorShape.
setTensorSizeBytes(long) - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder: Number of uncompressed bytes used to store the tensor representation.
setTensorSpecValue(TensorSpecProto) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a value for tf.TensorSpec.
setTensorSpecValue(TensorSpecProto.Builder) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a value for tf.TensorSpec.
setTfdbgContextId(String) - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Unique ID of the context that the executed op(s) belong to (e.g., a compiled concrete tf.function).
setTfdbgContextIdBytes(ByteString) - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder: Unique ID of the context that the executed op(s) belong to (e.g., a compiled concrete tf.function).
setTfdbgRunId(String) - Method in class org.tensorflow.proto.util.DebugMetadata.Builder: A unique ID for the current run of tfdbg.
setTfdbgRunIdBytes(ByteString) - Method in class org.tensorflow.proto.util.DebugMetadata.Builder: A unique ID for the current run of tfdbg.
setTfVersion(String) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: TensorFlow version this benchmark runs against.
setTfVersionBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder: TensorFlow version this benchmark runs against.
setThreadId(int) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: uint32 thread_id = 10;
setThreadingOptions(ThreadingOptions) - Method in class org.tensorflow.proto.data.Options.Builder: The threading options associated with the dataset.
setThreadingOptions(ThreadingOptions.Builder) - Method in class org.tensorflow.proto.data.Options.Builder: The threading options associated with the dataset.
setThroughput(double) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Throughput (in MB/s)
setTimelineLabel(String) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: string timeline_label = 8;
setTimelineLabelBytes(ByteString) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder: string timeline_label = 8;
setTimelineStep(int) - Method in class org.tensorflow.proto.framework.GraphOptions.Builder: If > 0, record a timeline every this many steps.
setTimeoutInMs(long) - Method in class org.tensorflow.proto.framework.RunOptions.Builder: Time to wait for operation to complete in milliseconds.
setTimeoutMs(long) - Method in class org.tensorflow.proto.util.WatchdogConfig.Builder: int64 timeout_ms = 1;
setTimestampedAllocator(boolean) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: If true then extra work is done by GPUDevice and GPUBFCAllocator to keep track of when GPU memory is freed and when kernels actually complete so that we can know when a nominally free memory chunk is really not subject to pending use.
setTimestampNs(long) - Method in class org.tensorflow.proto.profiler.XLine.Builder: Start time of this line in nanoseconds since the UNIX epoch.
setTolerateDebugOpCreationFailures(boolean) - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder: Do not error out if debug op creation fails (e.g., due to dtype incompatibility).
setTotal(long) - Method in class org.tensorflow.proto.util.testlog.MemoryInfo.Builder: Total virtual memory in bytes
setTotalBytes(long) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder: These are per-node allocator memory stats.
setTotalBytesInBin(long) - Method in class org.tensorflow.proto.util.BinSummary.Builder: int64 total_bytes_in_bin = 3;
setTotalBytesInUse(long) - Method in class org.tensorflow.proto.util.BinSummary.Builder: int64 total_bytes_in_use = 2;
setTotalChunksInBin(long) - Method in class org.tensorflow.proto.util.BinSummary.Builder: int64 total_chunks_in_bin = 5;
setTotalChunksInUse(long) - Method in class org.tensorflow.proto.util.BinSummary.Builder: int64 total_chunks_in_use = 4;
setToTensor(String) - Method in class org.tensorflow.proto.framework.TensorConnection.Builder: A tensor name.
setToTensorBytes(ByteString) - Method in class org.tensorflow.proto.framework.TensorConnection.Builder: A tensor name.
setTraceLevel(RunOptions.TraceLevel) - Method in class org.tensorflow.proto.framework.RunOptions.Builder: .tensorflow.RunOptions.TraceLevel trace_level = 1;
setTraceLevelValue(int) - Method in class org.tensorflow.proto.framework.RunOptions.Builder: .tensorflow.RunOptions.TraceLevel trace_level = 1;
setTrainable(boolean) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder: bool trainable = 3;
setTrainable(boolean) - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Whether this variable should be trained.
setTunable(boolean) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder: Identifies whether the parameter should participate in autotuning.
setTupleValue(TupleValue) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a tuple of `Value`.
setTupleValue(TupleValue.Builder) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a tuple of `Value`.
setType(DataType) - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "type"
setType(int, DataType) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(type)"
setType(String) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Device type (CPU, GPU, ...)
setType(String) - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder: string type = 2;
setType(DataType) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: Describes the type of one or more tensors that are accepted/produced by this input/output arg.
setType(String) - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).
setType(DataType) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Type of the tensor
setType(String) - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder: Device type, e.g.
setTypeAttr(String) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: if specified, attr must have type "type"
setTypeAttrBytes(ByteString) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: if specified, attr must have type "type"
setTypeBytes(ByteString) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Device type (CPU, GPU, ...)
setTypeBytes(ByteString) - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder: string type = 2;
setTypeBytes(ByteString) - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder: One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).
setTypeBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder: Device type, e.g.
setTypeHint(String) - Method in class org.tensorflow.proto.framework.SummaryDescription.Builder: Hint on how plugins should process the data in this series.
setTypeHintBytes(ByteString) - Method in class org.tensorflow.proto.framework.SummaryDescription.Builder: Hint on how plugins should process the data in this series.
setTypeId(FullTypeId) - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: The principal type represented by this object.
setTypeIdValue(int) - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder: The principal type represented by this object.
setTypeListAttr(String) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.
setTypeListAttrBytes(ByteString) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.
setTypeName(String) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder: string type_name = 3;
setTypeName(String) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder: Name of the type of objects being serialized.
setTypeNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder: string type_name = 3;
setTypeNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder: Name of the type of objects being serialized.
setTypeSpec(TypeSpecProto) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder: The serialized TypeSpec for the composite tensor.
setTypeSpec(TypeSpecProto.Builder) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder: The serialized TypeSpec for the composite tensor.
setTypeSpecClass(TypeSpecProto.TypeSpecClass) - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder: .tensorflow.TypeSpecProto.TypeSpecClass type_spec_class = 1;
setTypeSpecClassName(String) - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder: The name of the TypeSpec class.
setTypeSpecClassNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder: The name of the TypeSpec class.
setTypeSpecClassValue(int) - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder: .tensorflow.TypeSpecProto.TypeSpecClass type_spec_class = 1;
setTypeSpecProto(TypeSpecProto) - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder: .tensorflow.TypeSpecProto type_spec_proto = 1;
setTypeSpecProto(TypeSpecProto.Builder) - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder: .tensorflow.TypeSpecProto type_spec_proto = 1;
setTypeSpecValue(TypeSpecProto) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a value for tf.TypeSpec.
setTypeSpecValue(TypeSpecProto.Builder) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder: Represents a value for tf.TypeSpec.
setTypeState(StructuredValue) - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder: The value returned by TypeSpec._serialize().
setTypeState(StructuredValue.Builder) - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder: The value returned by TypeSpec._serialize().
setTypeValue(int) - Method in class org.tensorflow.proto.framework.AttrValue.Builder: "type"
setTypeValue(int, int) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder: "list(type)"
setTypeValue(int) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder: Describes the type of one or more tensors that are accepted/produced by this input/output arg.
setTypeValue(int) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder: Type of the tensor
setUint32Val(int, int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_UINT32
setUint64Val(int, long) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_UINT64
setUint64Value(long) - Method in class org.tensorflow.proto.profiler.XStat.Builder: uint64 uint64_value = 3;
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.AutotuneOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DistributeOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.experimental.TensorMetadata.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.model.ModelProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.OptimizationOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.Options.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.ThreadingOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.distruntime.ClusterDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.distruntime.JobDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.distruntime.ServerDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.example.BytesList.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.example.Example.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.example.ExampleParserConfiguration.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.example.Feature.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.example.FeatureList.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.example.FeatureLists.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.example.Features.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.example.FloatList.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.example.Int64List.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.example.SequenceExample.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.AllocationDescription.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.AllocationRecord.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ApiDef.Arg.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ApiDef.Attr.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ApiDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ApiDefs.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.AssetFileDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.AttrValue.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.AutoParallelOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CallableOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CapturedTensor.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CollectionDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CostGraphDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.DebuggedSourceFile.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.DebugOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.DebugTensorWatch.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.DeviceLocality.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.DeviceStepStats.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.DictValue.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.FullTypeDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.FunctionDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.FunctionSpec.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GPUOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GradientDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GraphDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GraphOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GraphTransferInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.HistogramProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.InterconnectLink.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.KernelDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.KernelList.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ListValue.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.LocalLinks.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.LogNormalDistribution.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.MemoryLogStep.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.MemoryStats.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.MetaGraphDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.NameAttrList.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.NamedDevice.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.NamedTensorProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.NodeDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.NodeExecStats.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.NodeOutput.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.NoneValue.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.NormalDistribution.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.OpDef.AttrDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.OpDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.OpDeprecation.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.OpInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.OpList.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.OpPerformance.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.OpPerformanceList.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.OptimizerOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.PairValue.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.QueueRunnerDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.RegisteredGradient.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.RPCOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.RunMetadata.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.RunOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SaveableObject.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SavedAsset.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SavedConcreteFunction.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SavedConstant.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SavedFunction.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SavedModel.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SavedObject.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SavedObjectGraph.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SavedResource.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SavedVariable.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SessionInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SessionMetadata.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SignatureDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.Status.DerivedStatus.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.StepStats.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.StructuredValue.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.Summary.Audio.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.Summary.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.Summary.Image.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.Summary.Value.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SummaryDescription.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SummaryMetadata.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TensorConnection.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TensorDescription.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TensorInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TensorProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TensorSpecProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TupleValue.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.TypeSpecProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.ValuesDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.VariableDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.VerifierConfig.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.VersionDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.XEvent.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.XEventMetadata.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.XLine.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.XPlane.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.XSpace.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.XStat.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.XStatMetadata.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.BinSummary.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.BundleEntryProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.CodeLocation.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.DebugEvent.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.DebuggedDevice.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.DebuggedGraph.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.DebugMetadata.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.Event.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.Execution.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.GraphExecutionTrace.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.GraphOpCreation.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.LogMessage.Builder: Deprecated.
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.MemAllocatorStats.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.MemChunk.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.MemoryDump.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.RequestedExitCode.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.SavedSlice.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.SavedSliceMeta.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.SavedTensorSlices.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.SaverDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.SessionLog.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.SnapShot.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.SourceFile.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.StackFrameWithId.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.TaggedRunMetadata.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.testlog.CommitId.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.testlog.CPUInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.testlog.EntryValue.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.testlog.MemoryInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.testlog.TestResults.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.WatchdogConfig.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder
setUnknownRank(boolean) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Builder: If true, the number of dimensions in the shape is unknown.
setUseCudaMallocAsync(boolean) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: When true, use CUDA cudaMallocAsync API instead of TF gpu allocator.
setUseNumaAffinity(boolean) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: If true, and supported by the platform, the runtime will attempt to use NUMA affinity where applicable.
setUsePerSessionThreads(boolean) - Method in class org.tensorflow.proto.framework.ConfigProto.Builder: If true, use a new set of threads for this session rather than the global pool of threads.
setUsePluginOptimizers(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Optimizers registered by plugin (default is ON)
setUsePluginOptimizersValue(int) - Method in class org.tensorflow.proto.framework.RewriterConfig.Builder: Optimizers registered by plugin (default is ON)
setUserObject(SavedUserObject) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedUserObject user_object = 4;
setUserObject(SavedUserObject.Builder) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedUserObject user_object = 4;
setUseRpcForInprocessMaster(boolean) - Method in class org.tensorflow.proto.framework.RPCOptions.Builder: If true, always use RPC to contact the session target.
setUseRunHandlerPool(boolean) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.Builder: If true, then operations (using the inter-op pool) across all session::run() calls will be centrally scheduled, optimizing for (median and tail) latency.
setUseTfrt(boolean) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Whether runtime execution uses TFRT.
setUseUnifiedMemory(boolean) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: If true, uses CUDA unified memory for memory allocations.
setUuid(String) - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder: Final entry in output of "nvidia-smi -L"
setUuidBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.GPUInfo.Builder: Final entry in output of "nvidia-smi -L"
setValue(double) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter.Builder: Identifies the model value of the parameter.
setValue(int, ByteString) - Method in class org.tensorflow.proto.example.BytesList.Builder: repeated bytes value = 1;
setValue(int, float) - Method in class org.tensorflow.proto.example.FloatList.Builder: repeated float value = 1 [packed = true];
setValue(int, long) - Method in class org.tensorflow.proto.example.Int64List.Builder: repeated int64 value = 1 [packed = true];
setValue(int, Any) - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
setValue(int, Any.Builder) - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
setValue(int, ByteString) - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList.Builder: repeated bytes value = 1;
setValue(int, float) - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList.Builder: repeated float value = 1 [packed = true];
setValue(int, long) - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List.Builder: repeated int64 value = 1 [packed = true];
setValue(int, String) - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList.Builder: repeated string value = 1;
setValue(TensorProto) - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder: .tensorflow.TensorProto value = 3;
setValue(TensorProto.Builder) - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties.Builder: .tensorflow.TensorProto value = 3;
setValue(StructuredValue) - Method in class org.tensorflow.proto.framework.PairValue.Builder: .tensorflow.StructuredValue value = 2;
setValue(StructuredValue.Builder) - Method in class org.tensorflow.proto.framework.PairValue.Builder: .tensorflow.StructuredValue value = 2;
setValue(int, Summary.Value) - Method in class org.tensorflow.proto.framework.Summary.Builder: Set of values for the summary.
setValue(int, Summary.Value.Builder) - Method in class org.tensorflow.proto.framework.Summary.Builder: Set of values for the summary.
setValue(double) - Method in class org.tensorflow.proto.util.testlog.MetricEntry.Builder: Metric value
setValues - Variable in class org.tensorflow.op.core.SetSize.Inputs: 1D Tensor, values of a SparseTensor.
setValues(int, StructuredValue) - Method in class org.tensorflow.proto.framework.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
setValues(int, StructuredValue.Builder) - Method in class org.tensorflow.proto.framework.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
setValues(int, PairValue) - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
setValues(int, PairValue.Builder) - Method in class org.tensorflow.proto.framework.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
setValues(int, StructuredValue) - Method in class org.tensorflow.proto.framework.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
setValues(int, StructuredValue.Builder) - Method in class org.tensorflow.proto.framework.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
setValues(int, String) - Method in class org.tensorflow.proto.framework.ValuesDef.Builder: Value names that have been seen in this context.
setValuesDef(ValuesDef) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Values and external values in control flow context.
setValuesDef(ValuesDef.Builder) - Method in class org.tensorflow.proto.framework.CondContextDef.Builder: Values and external values in control flow context.
setValuesDef(ValuesDef) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Values and external values in control flow context.
setValuesDef(ValuesDef.Builder) - Method in class org.tensorflow.proto.framework.WhileContextDef.Builder: Values and external values in control flow context.
setValuesOutputTensorName(String) - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder: string values_output_tensor_name = 4;
setValuesOutputTensorName(String) - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder: string values_output_tensor_name = 2;
setValuesOutputTensorNameBytes(ByteString) - Method in class org.tensorflow.proto.example.FixedLenFeatureProto.Builder: string values_output_tensor_name = 4;
setValuesOutputTensorNameBytes(ByteString) - Method in class org.tensorflow.proto.example.VarLenFeatureProto.Builder: string values_output_tensor_name = 2;
setValuesTensorName(String) - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder: The shape of the values Tensor is [?].
setValuesTensorNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse.Builder: The shape of the values Tensor is [?].
setVariable(SavedVariable) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedVariable variable = 7;
setVariable(SavedVariable.Builder) - Method in class org.tensorflow.proto.framework.SavedObject.Builder: .tensorflow.SavedVariable variable = 7;
setVariableName(String) - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Name of the variable tensor.
setVariableNameBytes(ByteString) - Method in class org.tensorflow.proto.framework.VariableDef.Builder: Name of the variable tensor.
setVariantVal(int, VariantTensorDataProto) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_VARIANT
setVariantVal(int, VariantTensorDataProto.Builder) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: DT_VARIANT
setVarLenFeature(VarLenFeatureProto) - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
setVarLenFeature(VarLenFeatureProto.Builder) - Method in class org.tensorflow.proto.example.FeatureConfiguration.Builder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
setVarOffset(int, long) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder: Offset of this variable into the full variable.
setVarShape(int, long) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef.Builder: Shape of this variable.
setVendor(String) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Vendor (Intel, nvidia, ...)
setVendorBytes(ByteString) - Method in class org.tensorflow.proto.framework.DeviceProperties.Builder: Vendor (Intel, nvidia, ...)
setVerificationTimeoutInMs(long) - Method in class org.tensorflow.proto.framework.VerifierConfig.Builder: Deadline for completion of all verification i.e.
setVersion(long) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord.Builder: Version of the snapshot data file format.
setVersion(int) - Method in class org.tensorflow.proto.framework.GraphDef.Builder: Deprecated.
setVersion(int) - Method in class org.tensorflow.proto.framework.OpDeprecation.Builder: First GraphDef version at which the op is disallowed.
setVersion(VersionDef) - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder: Version information from the producer of this SavedUserObject.
setVersion(VersionDef.Builder) - Method in class org.tensorflow.proto.framework.SavedUserObject.Builder: Version information from the producer of this SavedUserObject.
setVersion(long) - Method in class org.tensorflow.proto.framework.SessionMetadata.Builder: The version is optional.
setVersion(int) - Method in class org.tensorflow.proto.profiler.ProfileOptions.Builder: Some default value of option are not proto3 default value.
setVersion(VersionDef) - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder: Versioning of the tensor bundle format.
setVersion(VersionDef.Builder) - Method in class org.tensorflow.proto.util.BundleHeaderProto.Builder: Versioning of the tensor bundle format.
setVersion(SaverDef.CheckpointFormatVersion) - Method in class org.tensorflow.proto.util.SaverDef.Builder: .tensorflow.SaverDef.CheckpointFormatVersion version = 7;
setVersion(String) - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
setVersionBytes(ByteString) - Method in class org.tensorflow.proto.util.testlog.PlatformInfo.Builder: e.g.
setVersionNumber(int) - Method in class org.tensorflow.proto.framework.TensorProto.Builder: Version number.
setVersions(VersionDef) - Method in class org.tensorflow.proto.framework.GraphDef.Builder: Compatibility versions of the graph.
setVersions(VersionDef.Builder) - Method in class org.tensorflow.proto.framework.GraphDef.Builder: Compatibility versions of the graph.
setVersions(VersionDef) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder: Compatibility version of this checkpoint.
setVersions(VersionDef.Builder) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta.Builder: Compatibility version of this checkpoint.
setVersionValue(int) - Method in class org.tensorflow.proto.util.SaverDef.Builder: .tensorflow.SaverDef.CheckpointFormatVersion version = 7;
setVirtualDevices(int, GPUOptions.Experimental.VirtualDevices) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
setVirtualDevices(int, GPUOptions.Experimental.VirtualDevices.Builder) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
setVisibility(ApiDef.Visibility) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: .tensorflow.ApiDef.Visibility visibility = 2;
setVisibilityValue(int) - Method in class org.tensorflow.proto.framework.ApiDef.Builder: .tensorflow.ApiDef.Visibility visibility = 2;
setVisibleDeviceList(String) - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
setVisibleDeviceListBytes(ByteString) - Method in class org.tensorflow.proto.framework.GPUOptions.Builder: A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
setWallTime(double) - Method in class org.tensorflow.proto.util.DebugEvent.Builder: Timestamp in seconds (with microsecond precision).
setWallTime(double) - Method in class org.tensorflow.proto.util.Event.Builder: Timestamp of the event.
setWallTime(double) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry.Builder: Total wall time used for all iterations (in seconds)
setWarnings(int, String) - Method in class org.tensorflow.proto.profiler.XSpace.Builder: Warnings (if any) in the generation of planes;
setWatchdogConfig(WatchdogConfig) - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder: .tensorflow.WatchdogConfig watchdog_config = 2;
setWatchdogConfig(WatchdogConfig.Builder) - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest.Builder: .tensorflow.WatchdogConfig watchdog_config = 2;
setWhileCtxt(WhileContextDef) - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder: .tensorflow.WhileContextDef while_ctxt = 2;
setWhileCtxt(WhileContextDef.Builder) - Method in class org.tensorflow.proto.framework.ControlFlowContextDef.Builder: .tensorflow.WhileContextDef while_ctxt = 2;
setWidth(int) - Method in class org.tensorflow.proto.framework.Summary.Image.Builder: int32 width = 2;
setWorkDir(String) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: A work directory to use for storing dispatcher state, and for recovering during restarts.
setWorkDirBytes(ByteString) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: A work directory to use for storing dispatcher state, and for recovering during restarts.
setWorkerAddress(String) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The address of the worker server.
setWorkerAddressBytes(ByteString) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The address of the worker server.
setWorkerAddresses(int, String) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: (Optional.) If the job uses auto-sharding, it needs to specify a fixed list of worker addresses that will register with the dispatcher.
setWorkerLog(int, Event) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
setWorkerLog(int, Event.Builder) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
setWorkerTags(int, String) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: Tags attached to the worker.
setWorkFinished(long) - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder: int64 work_finished = 2;
setWorkStarted(long) - Method in class org.tensorflow.proto.framework.ReaderBaseState.Builder: int64 work_started = 1;
setXlaFusionAutotunerThresh(long) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental.Builder: Minimum number of batches run through the XLA graph before XLA fusion autotuner is enabled.
setXlaGlobalId(long) - Method in class org.tensorflow.proto.framework.DeviceAttributes.Builder: A physical device ID for use in XLA DeviceAssignments, unique across clients in a multi-client setup.
shape - Variable in class org.tensorflow.op.collective.CollectiveBcastRecv.Inputs: The shape input
shape - Variable in class org.tensorflow.op.core.BroadcastTo.Inputs: An 1-D int Tensor.
shape - Variable in class org.tensorflow.op.core.Empty.Inputs: 1-D.
shape - Variable in class org.tensorflow.op.core.EnsureShape.Inputs: The expected (possibly partially specified) shape of the input tensor.
shape - Variable in class org.tensorflow.op.core.ImmutableConst.Inputs: Shape of the returned tensor.
shape - Variable in class org.tensorflow.op.core.NcclBroadcast.Inputs: Deprecated.

The shape attribute
shape - Variable in class org.tensorflow.op.core.ParallelConcat.Inputs: the final shape of the result; should be equal to the shapes of any input but with the number of input values in the first dimension.
shape - Variable in class org.tensorflow.op.core.Placeholder.Inputs: (Optional) The shape of the tensor.
shape(Shape) - Method in class org.tensorflow.op.core.Placeholder.Options: Sets the shape option.
shape(Shape) - Static method in class org.tensorflow.op.core.Placeholder: Sets the shape option.
shape - Variable in class org.tensorflow.op.core.PlaceholderWithDefault.Inputs: The (possibly partial) shape of the tensor.
shape - Variable in class org.tensorflow.op.core.QuantizedReshape.Inputs: Defines the shape of the output tensor.
shape - Variable in class org.tensorflow.op.core.Reshape.Inputs: Defines the shape of the output tensor.
shape - Variable in class org.tensorflow.op.core.ScatterNd.Inputs: 1-D.
Shape - Class in org.tensorflow.op.core: Returns the shape of a tensor.
Shape(Operation) - Constructor for class org.tensorflow.op.core.Shape
shape - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The shape input
shape - Variable in class org.tensorflow.op.core.TemporaryVariable.Inputs: The shape of the variable tensor.
shape - Variable in class org.tensorflow.op.core.VarHandleOp.Inputs: The (possibly partially specified) shape of this variable.
shape - Variable in class org.tensorflow.op.core.Variable.Inputs: The shape of the variable tensor.
shape - Variable in class org.tensorflow.op.distribute.NcclBroadcast.Inputs: The shape attribute
shape - Variable in class org.tensorflow.op.math.AccumulateN.Inputs: Shape of elements of `inputs`.
shape - Variable in class org.tensorflow.op.Ops
shape(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Returns the shape of a tensor.
shape(Operand<? extends TType>, Class) - Method in class org.tensorflow.op.Ops: Returns the shape of a tensor.
shape - Variable in class org.tensorflow.op.ragged.RaggedTensorToTensor.Inputs: The desired shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.NonDeterministicInts.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.RandomGamma.Inputs: 1-D integer tensor.
shape - Variable in class org.tensorflow.op.random.RandomPoisson.Inputs: 1-D integer tensor.
shape - Variable in class org.tensorflow.op.random.RandomStandardNormal.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.RandomUniform.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.RandomUniformInt.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatefulRandomBinomial.Inputs: The shape input
shape - Variable in class org.tensorflow.op.random.StatefulStandardNormal.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatefulTruncatedNormal.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatefulUniform.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatefulUniformFullInt.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatefulUniformInt.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomBinomial.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomGamma.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomNormal.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomNormalV2.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomPoisson.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomUniform.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullInt.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomUniformInt.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomUniformIntV2.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomUniformV2.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessTruncatedNormal.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessTruncatedNormalV2.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.TruncatedNormal.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.risc.RiscBroadcast.Inputs: The shape input
shape - Variable in class org.tensorflow.op.risc.RiscRandomUniform.Inputs: The shape input
shape - Variable in class org.tensorflow.op.risc.RiscReshape.Inputs: The shape input
shape - Variable in class org.tensorflow.op.risc.RiscScatter.Inputs: The shape input
shape() - Method in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient: Gets shape.
shape - Variable in class org.tensorflow.op.sparse.SparseConditionalAccumulator.Inputs: The shape of the values.
shape - Variable in class org.tensorflow.op.sparse.SparseSlice.Inputs: 1-D.
shape - Variable in class org.tensorflow.op.sparse.SparseSplit.Inputs: 1-D.
shape() - Method in class org.tensorflow.op.strings.StringSplit: Gets shape.
shape - Variable in class org.tensorflow.op.tpu.InfeedDequeue.Inputs: The shape of the tensor.
shape - Variable in class org.tensorflow.op.tpu.InfeedEnqueue.Inputs: The shape of the tensor.
shape(Shape) - Method in class org.tensorflow.op.tpu.InfeedEnqueue.Options: Sets the shape option.
shape(Shape) - Static method in class org.tensorflow.op.tpu.InfeedEnqueue: Sets the shape option.
shape - Variable in class org.tensorflow.op.tpu.OutfeedDequeue.Inputs: The shape of the tensor.
shape - Variable in class org.tensorflow.op.tpu.OutfeedDequeueV2.Inputs: The shape of the tensor.
shape - Variable in class org.tensorflow.op.tpu.Prelinearize.Inputs: The shape of the tensor.
shape(Shape) - Method in class org.tensorflow.op.tpu.Prelinearize.Options: Sets the shape option.
shape(Shape) - Static method in class org.tensorflow.op.tpu.Prelinearize: Sets the shape option.
shape - Variable in class org.tensorflow.op.train.ConditionalAccumulator.Inputs: The shape of the values, can be [], in which case shape is unknown.
shape - Variable in class org.tensorflow.op.train.ResourceConditionalAccumulator.Inputs: The shape of the values, can be [], in which case shape is unknown.
shape - Variable in class org.tensorflow.op.xla.Recv.Inputs: The shape of the tensor.
shape - Variable in class org.tensorflow.op.xla.RngBitGenerator.Inputs: The output shape of the generated data.
shape - Variable in class org.tensorflow.op.xla.XlaRecvFromHost.Inputs: The shape attribute
shape() - Method in interface org.tensorflow.Operand: Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
shape() - Method in class org.tensorflow.Output: Returns the (possibly partially known) shape of the tensor referred to by this output.
shape() - Method in class org.tensorflow.RawTensor
shape - Variable in class org.tensorflow.Signature.TensorDescription: The shape of the tensor
shape() - Method in interface org.tensorflow.Tensor: Returns the shape of the tensor.
Shape.Inputs - Class in org.tensorflow.op.core
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.example.FixedLenFeatureProto
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AttrValue.ListValue
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AttrValue
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.BoundedTensorSpecProto
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpInfo.TensorProperties
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ResourceDtypeAndShape
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedVariable
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorDescription
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorSpecProto
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.BundleEntryProto
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.SavedSliceMeta
Shape_inference_func_TF_ShapeInferenceContext_TF_Status - Class in org.tensorflow.internal.c_api
Shape_inference_func_TF_ShapeInferenceContext_TF_Status(Pointer) - Constructor for class org.tensorflow.internal.c_api.Shape_inference_func_TF_ShapeInferenceContext_TF_Status: Pointer cast constructor.
Shape_inference_func_TF_ShapeInferenceContext_TF_Status() - Constructor for class org.tensorflow.internal.c_api.Shape_inference_func_TF_ShapeInferenceContext_TF_Status
SHAPE_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
SHAPE_VALUE - Static variable in enum org.tensorflow.proto.util.TensorDebugMode: Provides full runtime shape information, up to a maximum rank, beyond which the dimension sizes are truncated.
shapeAndSlice - Variable in class org.tensorflow.op.train.RestoreSlice.Inputs: Scalar.
shapeAndSlices - Variable in class org.tensorflow.op.train.Restore.Inputs: shape {N}.
shapeAndSlices - Variable in class org.tensorflow.op.train.Save.Inputs: shape {N}.
shapeDtype - Variable in class org.tensorflow.op.random.NonDeterministicInts.Inputs: The shapeDtype attribute
shapeDtype - Variable in class org.tensorflow.op.random.StatefulStandardNormal.Inputs: The shapeDtype attribute
shapeDtype - Variable in class org.tensorflow.op.random.StatefulTruncatedNormal.Inputs: The shapeDtype attribute
shapeDtype - Variable in class org.tensorflow.op.random.StatefulUniform.Inputs: The shapeDtype attribute
shapeDtype - Variable in class org.tensorflow.op.random.StatefulUniformFullInt.Inputs: The shapeDtype attribute
shapeDtype - Variable in class org.tensorflow.op.random.StatefulUniformInt.Inputs: The shapeDtype attribute
ShapeN - Class in org.tensorflow.op.core: Returns shape of tensors.
ShapeN(Operation) - Constructor for class org.tensorflow.op.core.ShapeN
shapeN(Iterable<Operand<? extends TType>>) - Method in class org.tensorflow.op.Ops: Returns shape of tensors.
shapeN(Iterable<Operand<? extends TType>>, Class) - Method in class org.tensorflow.op.Ops: Returns shape of tensors.
ShapeN.Inputs - Class in org.tensorflow.op.core
ShapeOps - Class in org.tensorflow.op: An API for building shape operations as Ops
shapes - Variable in class org.tensorflow.op.core.Barrier.Inputs: The shape of each component in a value.
shapes(List<Shape>) - Method in class org.tensorflow.op.core.Barrier.Options: Sets the shapes option.
shapes(Shape...) - Method in class org.tensorflow.op.core.Barrier.Options: Sets the shapes option.
shapes(List<Shape>) - Static method in class org.tensorflow.op.core.Barrier: Sets the shapes option.
shapes(Shape...) - Static method in class org.tensorflow.op.core.Barrier: Sets the shapes option.
Shapes - Class in org.tensorflow.op.core: An operator providing methods on org.tensorflow.op.core.Shape tensors and 1d operands that represent the dimensions of a shape.
Shapes() - Constructor for class org.tensorflow.op.core.Shapes
shapes - Variable in class org.tensorflow.op.io.FifoQueue.Inputs: The shape of each component in a value.
shapes(List<Shape>) - Method in class org.tensorflow.op.io.FifoQueue.Options: Sets the shapes option.
shapes(Shape...) - Method in class org.tensorflow.op.io.FifoQueue.Options: Sets the shapes option.
shapes(List<Shape>) - Static method in class org.tensorflow.op.io.FifoQueue: Sets the shapes option.
shapes(Shape...) - Static method in class org.tensorflow.op.io.FifoQueue: Sets the shapes option.
shapes - Variable in class org.tensorflow.op.io.PaddingFifoQueue.Inputs: The shape of each component in a value.
shapes(List<Shape>) - Method in class org.tensorflow.op.io.PaddingFifoQueue.Options: Sets the shapes option.
shapes(Shape...) - Method in class org.tensorflow.op.io.PaddingFifoQueue.Options: Sets the shapes option.
shapes(List<Shape>) - Static method in class org.tensorflow.op.io.PaddingFifoQueue: Sets the shapes option.
shapes(Shape...) - Static method in class org.tensorflow.op.io.PaddingFifoQueue: Sets the shapes option.
shapes - Variable in class org.tensorflow.op.io.PriorityQueue.Inputs: The shape of each component in a value.
shapes - Variable in class org.tensorflow.op.io.RandomShuffleQueue.Inputs: The shape of each component in a value.
shapes(List<Shape>) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options: Sets the shapes option.
shapes(Shape...) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options: Sets the shapes option.
shapes(List<Shape>) - Static method in class org.tensorflow.op.io.RandomShuffleQueue: Sets the shapes option.
shapes(Shape...) - Static method in class org.tensorflow.op.io.RandomShuffleQueue: Sets the shapes option.
shapes - Variable in class org.tensorflow.op.sparse.SparseConcat.Inputs: 1-D.
shapes - Variable in class org.tensorflow.op.sparse.SparseCross.Inputs: 1-D.
shapes - Variable in class org.tensorflow.op.sparse.SparseCrossHashed.Inputs: 1-D.
shapes - Variable in class org.tensorflow.op.tpu.InfeedDequeueTuple.Inputs: The shapes of each tensor in `outputs`.
shapes - Variable in class org.tensorflow.op.tpu.InfeedEnqueueTuple.Inputs: The shapes of each tensor in `inputs`.
shapes - Variable in class org.tensorflow.op.tpu.OutfeedDequeueTuple.Inputs: The shapes of each tensor in `outputs`.
shapes - Variable in class org.tensorflow.op.tpu.OutfeedDequeueTupleV2.Inputs: The shapes of each tensor in `outputs`.
shapes - Variable in class org.tensorflow.op.tpu.PrelinearizeTuple.Inputs: The shapes of each tensor in `inputs`.
shapes - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: If shape_inference_graph is empty, a list of the shapes of `outputs`.
SHAPES_OUTPUT_TENSOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.example.VarLenFeatureProto
shapesAndSlices - Variable in class org.tensorflow.op.train.SaveSlices.Inputs: Shape [N].
shapeToPrepend - Variable in class org.tensorflow.op.core.TensorArrayGradWithShape.Inputs: An int32 vector representing a shape.
shapeType - Variable in class org.tensorflow.op.core.EmptyTensorList.Inputs: The shapeType attribute
shapeType - Variable in class org.tensorflow.op.core.TensorListConcat.Inputs: The shapeType attribute
shapeType - Variable in class org.tensorflow.op.core.TensorListElementShape.Inputs: The shapeType attribute
shapeType - Variable in class org.tensorflow.op.core.TensorListFromTensor.Inputs: The shapeType attribute
shapeType - Variable in class org.tensorflow.op.core.TensorListReserve.Inputs: The shapeType attribute
shapeType - Variable in class org.tensorflow.op.core.TensorListScatter.Inputs: The shapeType attribute
shapeType - Variable in class org.tensorflow.op.core.TensorListSplit.Inputs: The shapeType attribute
shard - Variable in class org.tensorflow.op.io.ShardedFilename.Inputs: The shard input
shard - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: A sampler can be used to sample from a subset of the original range in order to speed up the whole computation through parallelism.
shard(Long) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options: Sets the shard option.
shard(Long) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Sets the shard option.
SHARD_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.BundleEntryProto
ShardDataset - Class in org.tensorflow.op.data: Creates a Dataset that includes only 1/num_shards of this dataset.
ShardDataset(Operation) - Constructor for class org.tensorflow.op.data.ShardDataset
shardDataset(Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, ShardDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a Dataset that includes only 1/num_shards of this dataset.
ShardDataset.Inputs - Class in org.tensorflow.op.data
ShardDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ShardDataset
shardDir - Variable in class org.tensorflow.op.data.SnapshotDatasetReader.Inputs: The shardDir input
SHARDED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.SaverDef
ShardedFilename - Class in org.tensorflow.op.io: Generate a sharded filename.
ShardedFilename(Operation) - Constructor for class org.tensorflow.op.io.ShardedFilename
shardedFilename(Operand<TString>, Operand<TInt32>, Operand<TInt32>) - Method in class org.tensorflow.op.IoOps: Generate a sharded filename.
ShardedFilename.Inputs - Class in org.tensorflow.op.io
ShardedFilespec - Class in org.tensorflow.op.io: Generate a glob pattern matching all sharded file names.
ShardedFilespec(Operation) - Constructor for class org.tensorflow.op.io.ShardedFilespec
shardedFilespec(Operand<TString>, Operand<TInt32>) - Method in class org.tensorflow.op.IoOps: Generate a glob pattern matching all sharded file names.
ShardedFilespec.Inputs - Class in org.tensorflow.op.io
shardFuncOtherArgs - Variable in class org.tensorflow.op.data.SaveDataset.Inputs: The shardFuncOtherArgs input
shardFuncOtherArgs - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The shardFuncOtherArgs input
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Inputs: The shardId attribute
Sharding<T extends TType> - Class in org.tensorflow.op.xla: An op which shards the input based on the given sharding attribute.
Sharding(Operation) - Constructor for class org.tensorflow.op.xla.Sharding
sharding - Variable in class org.tensorflow.op.xla.Sharding.Inputs: The sharding attribute
sharding(String) - Method in class org.tensorflow.op.xla.Sharding.Options: Sets the sharding option.
sharding(String) - Static method in class org.tensorflow.op.xla.Sharding: Sets the sharding option.
sharding(Operand<T>, Sharding.Options...) - Method in class org.tensorflow.op.XlaOps: An op which shards the input based on the given sharding attribute.
Sharding.Inputs<T extends TType> - Class in org.tensorflow.op.xla
Sharding.Options - Class in org.tensorflow.op.xla: Optional attributes for Sharding
SHARDING_POLICY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DataService.ProcessingModeDef
shardNum - Variable in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard.Inputs: Integer representing which shard to fetch data for.
SHARE_CLUSTER_DEVICES_IN_SESSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto.Experimental
SHARE_CLUSTER_DEVICES_IN_SESSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto
SHARE_SESSION_STATE_IN_CLUSTERSPEC_PROPAGATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto.Experimental
SHARED_MEMORY_SIZE_PER_MULTIPROCESSOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DeviceProperties
sharedName - Variable in class org.tensorflow.op.core.Barrier.Inputs: If non-empty, this barrier will be shared under the given name across multiple sessions.
sharedName(String) - Method in class org.tensorflow.op.core.Barrier.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.Barrier: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.Batch.Inputs: The sharedName attribute
sharedName(String) - Method in class org.tensorflow.op.core.Batch.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.Batch: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: Concurrently running instances of batch in the same device with the same container and shared_name will batch their elements together.
sharedName(String) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.HashTable.Inputs: If non-empty, this table is shared under the given name across multiple sessions.
sharedName(String) - Method in class org.tensorflow.op.core.HashTable.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.HashTable: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.MapClear.Inputs: The sharedName attribute
sharedName(String) - Method in class org.tensorflow.op.core.MapClear.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MapClear: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.MapIncompleteSize.Inputs: The sharedName attribute
sharedName(String) - Method in class org.tensorflow.op.core.MapIncompleteSize.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MapIncompleteSize: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.MapPeek.Inputs: The sharedName attribute
sharedName(String) - Method in class org.tensorflow.op.core.MapPeek.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MapPeek: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.MapSize.Inputs: The sharedName attribute
sharedName(String) - Method in class org.tensorflow.op.core.MapSize.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MapSize: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.MapStage.Inputs: It is necessary to match this name to the matching Unstage Op.
sharedName(String) - Method in class org.tensorflow.op.core.MapStage.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MapStage: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.MapUnstage.Inputs: The sharedName attribute
sharedName(String) - Method in class org.tensorflow.op.core.MapUnstage.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MapUnstage: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.MapUnstageNoKey.Inputs: The sharedName attribute
sharedName(String) - Method in class org.tensorflow.op.core.MapUnstageNoKey.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MapUnstageNoKey: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: If non-empty, this table is shared under the given name across multiple sessions.
sharedName(String) - Method in class org.tensorflow.op.core.MutableDenseHashTable.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MutableDenseHashTable: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.MutableHashTable.Inputs: If non-empty, this table is shared under the given name across multiple sessions.
sharedName(String) - Method in class org.tensorflow.op.core.MutableHashTable.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MutableHashTable: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.MutableHashTableOfTensors.Inputs: If non-empty, this table is shared under the given name across multiple sessions.
sharedName(String) - Method in class org.tensorflow.op.core.MutableHashTableOfTensors.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MutableHashTableOfTensors: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.Mutex.Inputs: If non-empty, this variable is named in the given bucket with this shared_name.
sharedName(String) - Method in class org.tensorflow.op.core.Mutex.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.Mutex: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.NcclAllReduce.Inputs: Deprecated.

The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.OrderedMapClear.Inputs: The sharedName attribute
sharedName(String) - Method in class org.tensorflow.op.core.OrderedMapClear.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.OrderedMapClear: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.OrderedMapIncompleteSize.Inputs: The sharedName attribute
sharedName(String) - Method in class org.tensorflow.op.core.OrderedMapIncompleteSize.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.OrderedMapIncompleteSize: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.OrderedMapPeek.Inputs: The sharedName attribute
sharedName(String) - Method in class org.tensorflow.op.core.OrderedMapPeek.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.OrderedMapPeek: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.OrderedMapSize.Inputs: The sharedName attribute
sharedName(String) - Method in class org.tensorflow.op.core.OrderedMapSize.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.OrderedMapSize: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.OrderedMapStage.Inputs: It is necessary to match this name to the matching Unstage Op.
sharedName(String) - Method in class org.tensorflow.op.core.OrderedMapStage.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.OrderedMapStage: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.OrderedMapUnstage.Inputs: The sharedName attribute
sharedName(String) - Method in class org.tensorflow.op.core.OrderedMapUnstage.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.OrderedMapUnstage: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Inputs: The sharedName attribute
sharedName(String) - Method in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.OrderedMapUnstageNoKey: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.Stage.Inputs: It is necessary to match this name to the matching Unstage Op.
sharedName(String) - Method in class org.tensorflow.op.core.Stage.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.Stage: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.StageClear.Inputs: The sharedName attribute
sharedName(String) - Method in class org.tensorflow.op.core.StageClear.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.StageClear: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.StagePeek.Inputs: The sharedName attribute
sharedName(String) - Method in class org.tensorflow.op.core.StagePeek.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.StagePeek: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.StageSize.Inputs: The sharedName attribute
sharedName(String) - Method in class org.tensorflow.op.core.StageSize.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.StageSize: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.Unbatch.Inputs: The sharedName attribute
sharedName(String) - Method in class org.tensorflow.op.core.Unbatch.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.Unbatch: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.UnbatchGrad.Inputs: The sharedName attribute
sharedName(String) - Method in class org.tensorflow.op.core.UnbatchGrad.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.UnbatchGrad: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.Unstage.Inputs: The sharedName attribute
sharedName(String) - Method in class org.tensorflow.op.core.Unstage.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.Unstage: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.VarHandleOp.Inputs: the name by which this variable is referred to.
sharedName(String) - Method in class org.tensorflow.op.core.VarHandleOp.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.VarHandleOp: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.core.Variable.Inputs: If non-empty, this variable is named in the given bucket with this shared_name.
sharedName(String) - Method in class org.tensorflow.op.core.Variable.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.Variable: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.data.experimental.StatsAggregatorHandle.Inputs: The sharedName attribute
sharedName(String) - Method in class org.tensorflow.op.data.experimental.StatsAggregatorHandle.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.data.experimental.StatsAggregatorHandle: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.data.experimental.ThreadPoolHandle.Inputs: The sharedName attribute
sharedName(String) - Method in class org.tensorflow.op.data.experimental.ThreadPoolHandle.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.data.experimental.ThreadPoolHandle: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.data.Iterator.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.data.MultiDeviceIterator.Inputs: If non-empty, this resource will be shared under the given name across multiple sessions.
sharedName - Variable in class org.tensorflow.op.data.OneShotIterator.Inputs: The sharedName attribute
sharedName(String) - Method in class org.tensorflow.op.data.OneShotIterator.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.data.OneShotIterator: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.data.StatsAggregatorHandle.Inputs: The sharedName attribute
sharedName(String) - Method in class org.tensorflow.op.data.StatsAggregatorHandle.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.data.StatsAggregatorHandle: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.data.ThreadPoolHandle.Inputs: The sharedName attribute
sharedName(String) - Method in class org.tensorflow.op.data.ThreadPoolHandle.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.data.ThreadPoolHandle: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.distribute.NcclAllReduce.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.estimator.BoostedTreesEnsembleResourceHandleOp.Inputs: The sharedName attribute
sharedName(String) - Method in class org.tensorflow.op.estimator.BoostedTreesEnsembleResourceHandleOp.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.estimator.BoostedTreesEnsembleResourceHandleOp: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceHandleOp.Inputs: The sharedName attribute
sharedName(String) - Method in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceHandleOp.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceHandleOp: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.io.FifoQueue.Inputs: If non-empty, this queue will be shared under the given name across multiple sessions.
sharedName(String) - Method in class org.tensorflow.op.io.FifoQueue.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.FifoQueue: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.io.FixedLengthRecordReader.Inputs: If non-empty, this reader is named in the given bucket with this shared_name.
sharedName(String) - Method in class org.tensorflow.op.io.FixedLengthRecordReader.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.io.IdentityReader.Inputs: If non-empty, this reader is named in the given bucket with this shared_name.
sharedName(String) - Method in class org.tensorflow.op.io.IdentityReader.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.IdentityReader: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.io.LmdbReader.Inputs: If non-empty, this reader is named in the given bucket with this shared_name.
sharedName(String) - Method in class org.tensorflow.op.io.LmdbReader.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.LmdbReader: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.io.PaddingFifoQueue.Inputs: If non-empty, this queue will be shared under the given name across multiple sessions.
sharedName(String) - Method in class org.tensorflow.op.io.PaddingFifoQueue.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.PaddingFifoQueue: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.io.PriorityQueue.Inputs: If non-empty, this queue will be shared under the given name across multiple sessions.
sharedName(String) - Method in class org.tensorflow.op.io.PriorityQueue.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.PriorityQueue: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.io.RandomShuffleQueue.Inputs: If non-empty, this queue will be shared under the given name across multiple sessions.
sharedName(String) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.RandomShuffleQueue: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.io.TextLineReader.Inputs: If non-empty, this reader is named in the given bucket with this shared_name.
sharedName(String) - Method in class org.tensorflow.op.io.TextLineReader.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.TextLineReader: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.io.TfRecordReader.Inputs: If non-empty, this reader is named in the given bucket with this shared_name.
sharedName(String) - Method in class org.tensorflow.op.io.TfRecordReader.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.TfRecordReader: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.io.WholeFileReader.Inputs: If non-empty, this reader is named in the given bucket with this shared_name.
sharedName(String) - Method in class org.tensorflow.op.io.WholeFileReader.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.WholeFileReader: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Inputs: The shared name for the `SparseTensorsMap` created by this op.
sharedName(String) - Method in class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.sparse.AddManySparseToTensorsMap: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.sparse.AddSparseToTensorsMap.Inputs: The shared name for the `SparseTensorsMap` created by this op.
sharedName(String) - Method in class org.tensorflow.op.sparse.AddSparseToTensorsMap.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.sparse.AddSparseToTensorsMap: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.sparse.SparseConditionalAccumulator.Inputs: If non-empty, this accumulator will be shared under the given name across multiple sessions.
sharedName(String) - Method in class org.tensorflow.op.sparse.SparseConditionalAccumulator.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.sparse.SparseConditionalAccumulator: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap.Inputs: The shared name for the `SparseTensorsMap` read by this op.
sharedName(String) - Method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.summary.SummaryWriter.Inputs: The sharedName attribute
sharedName(String) - Method in class org.tensorflow.op.summary.SummaryWriter.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.summary.SummaryWriter: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.train.ConditionalAccumulator.Inputs: If non-empty, this accumulator will be shared under the given name across multiple sessions.
sharedName(String) - Method in class org.tensorflow.op.train.ConditionalAccumulator.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.train.ConditionalAccumulator: Sets the sharedName option.
sharedName - Variable in class org.tensorflow.op.train.ResourceConditionalAccumulator.Inputs: If non-empty, this accumulator will be shared under the given name across multiple sessions.
sharedName(String) - Method in class org.tensorflow.op.train.ResourceConditionalAccumulator.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.train.ResourceConditionalAccumulator: Sets the sharedName option.
shift - Variable in class org.tensorflow.op.core.Roll.Inputs: Dimension must be 0-D or 1-D.
shift - Variable in class org.tensorflow.op.data.WindowDataset.Inputs: An integer scalar, representing the number of input elements by which the window moves in each iteration.
shiftLeft(Pointer, NativeStatus) - Static method in class org.tensorflow.internal.c_api.global.tensorflow: \ingroup core
shortest - Variable in class org.tensorflow.op.dtypes.AsString.Inputs: Use shortest representation (either scientific or standard) for floating point numbers.
shortest(Boolean) - Method in class org.tensorflow.op.dtypes.AsString.Options: Sets the shortest option.
shortest(Boolean) - Static method in class org.tensorflow.op.dtypes.AsString: Sets the shortest option.
shrinkAxisMask - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The shrinkAxisMask attribute
shrinkAxisMask(Long) - Method in class org.tensorflow.op.core.ResourceStridedSliceAssign.Options: Sets the shrinkAxisMask option.
shrinkAxisMask(Long) - Static method in class org.tensorflow.op.core.ResourceStridedSliceAssign: Sets the shrinkAxisMask option.
shrinkAxisMask - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: a bitmask where bit `i` implies that the `i`th specification should shrink the dimensionality.
shrinkAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSlice.Options: Sets the shrinkAxisMask option.
shrinkAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSlice: Sets the shrinkAxisMask option.
shrinkAxisMask - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The shrinkAxisMask attribute
shrinkAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSliceAssign.Options: Sets the shrinkAxisMask option.
shrinkAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceAssign: Sets the shrinkAxisMask option.
shrinkAxisMask - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The shrinkAxisMask attribute
shrinkAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSliceGrad.Options: Sets the shrinkAxisMask option.
shrinkAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceGrad: Sets the shrinkAxisMask option.
shrinkAxisMask - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The shrinkAxisMask attribute
shrinkAxisMask(Long) - Method in class org.tensorflow.op.core.TensorStridedSliceUpdate.Options: Sets the shrinkAxisMask option.
shrinkAxisMask(Long) - Static method in class org.tensorflow.op.core.TensorStridedSliceUpdate: Sets the shrinkAxisMask option.
SHUFFLE_AND_REPEAT_FUSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.OptimizationOptions
ShuffleAndRepeatDataset - Class in org.tensorflow.op.data: The ShuffleAndRepeatDatasetV2 operation
ShuffleAndRepeatDataset(Operation) - Constructor for class org.tensorflow.op.data.ShuffleAndRepeatDataset
shuffleAndRepeatDataset(Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, ShuffleAndRepeatDataset.Options...) - Method in class org.tensorflow.op.DataOps: The ShuffleAndRepeatDatasetV2 operation
ShuffleAndRepeatDataset.Inputs - Class in org.tensorflow.op.data
ShuffleAndRepeatDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ShuffleAndRepeatDataset
ShuffleDataset - Class in org.tensorflow.op.data: The ShuffleDatasetV3 operation
ShuffleDataset(Operation) - Constructor for class org.tensorflow.op.data.ShuffleDataset
shuffleDataset(Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, ShuffleDataset.Options...) - Method in class org.tensorflow.op.DataOps: The ShuffleDatasetV3 operation
ShuffleDataset.Inputs - Class in org.tensorflow.op.data
ShuffleDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ShuffleDataset
SHUTDOWN_AFTER_TIMEOUT_VALUE - Static variable in enum org.tensorflow.proto.util.WorkerShutdownMode: SHUTDOWN_AFTER_TIMEOUT = 3;
SHUTDOWN_MODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.WorkerHeartbeatRequest
SHUTDOWN_QUIET_PERIOD_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
ShutdownDistributedTPU - Class in org.tensorflow.op.tpu: Shuts down a running distributed TPU system.
ShutdownDistributedTPU(Operation) - Constructor for class org.tensorflow.op.tpu.ShutdownDistributedTPU
ShutdownDistributedTPU.Inputs - Class in org.tensorflow.op.tpu
SHUTTING_DOWN_VALUE - Static variable in enum org.tensorflow.proto.util.WorkerHealth: Worker has been instructed to shutdown after a timeout.
SIGMA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.LogNormalDistribution
SIGMA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NormalDistribution
Sigmoid<T extends TType> - Class in org.tensorflow.op.math: Computes sigmoid of x element-wise.
Sigmoid(Operation) - Constructor for class org.tensorflow.op.math.Sigmoid
sigmoid(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes sigmoid of x element-wise.
Sigmoid.Inputs<T extends TType> - Class in org.tensorflow.op.math
SigmoidGrad<T extends TType> - Class in org.tensorflow.op.math: Computes the gradient of the sigmoid of x wrt its input.
SigmoidGrad(Operation) - Constructor for class org.tensorflow.op.math.SigmoidGrad
SigmoidGrad.Inputs<T extends TType> - Class in org.tensorflow.op.math
sign() - Method in class org.tensorflow.op.linalg.LogMatrixDeterminant: Gets sign.
Sign<T extends TType> - Class in org.tensorflow.op.math: Returns an element-wise indication of the sign of a number.
Sign(Operation) - Constructor for class org.tensorflow.op.math.Sign
sign(Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns an element-wise indication of the sign of a number.
Sign.Inputs<T extends TType> - Class in org.tensorflow.op.math
signal - Variable in class org.tensorflow.op.Ops
SignalOps - Class in org.tensorflow.op: An API for building signal operations as Ops
signature() - Method in class org.tensorflow.ConcreteFunction: Returns the signature of this function
signature() - Method in class org.tensorflow.SessionFunction
Signature - Class in org.tensorflow: Describe the inputs and outputs of an executable entity, such as a ConcreteFunction, among other useful metadata.
signature() - Method in interface org.tensorflow.TensorFunction: Returns the signature of this function
Signature.Builder - Class in org.tensorflow: Builds a new function signature.
Signature.TensorDescription - Class in org.tensorflow
SIGNATURE_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MetaGraphDef
SIGNATURE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.FunctionDef
SignatureDef - Class in org.tensorflow.proto.framework: SignatureDef defines the signature of a computation supported by a TensorFlow graph.
SignatureDef.Builder - Class in org.tensorflow.proto.framework: SignatureDef defines the signature of a computation supported by a TensorFlow graph.
SignatureDefOrBuilder - Interface in org.tensorflow.proto.framework
signatures() - Method in class org.tensorflow.SavedModelBundle: Return the signature of all functions available in this saved model.
signDecay - Variable in class org.tensorflow.op.train.ApplyAddSign.Inputs: Must be a scalar.
signDecay - Variable in class org.tensorflow.op.train.ApplyPowerSign.Inputs: Must be a scalar.
signDecay - Variable in class org.tensorflow.op.train.ResourceApplyAddSign.Inputs: Must be a scalar.
signDecay - Variable in class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs: Must be a scalar.
signedInput - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs: The signedInput attribute
signedInput(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantize.Options: Sets the signedInput option.
signedInput(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantize: Sets the signedInput option.
signedInput - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs: The signedInput attribute
signedInput(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Options: Sets the signedInput option.
signedInput(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3: Sets the signedInput option.
signedInput - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: Whether the quantization is signed or unsigned.
signedInput(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Options: Sets the signedInput option.
signedInput(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4: Sets the signedInput option.
SIMPLE_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.Summary.Value
Sin<T extends TType> - Class in org.tensorflow.op.math: Computes sine of x element-wise.
Sin(Operation) - Constructor for class org.tensorflow.op.math.Sin
sin(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes sine of x element-wise.
Sin.Inputs<T extends TType> - Class in org.tensorflow.op.math
Sinh<T extends TType> - Class in org.tensorflow.op.math: Computes hyperbolic sine of x element-wise.
Sinh(Operation) - Constructor for class org.tensorflow.op.math.Sinh
sinh(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes hyperbolic sine of x element-wise.
Sinh.Inputs<T extends TType> - Class in org.tensorflow.op.math
size() - Method in class org.tensorflow.internal.buffer.ByteSequenceTensorBuffer
size() - Method in class org.tensorflow.internal.c_api.NameMap
size() - Method in class org.tensorflow.internal.c_api.NativeOutputVector
size() - Method in class org.tensorflow.internal.c_api.TF_TString_Large
size(long) - Method in class org.tensorflow.internal.c_api.TF_TString_Large
size() - Method in class org.tensorflow.internal.c_api.TF_TString_Offset
size(int) - Method in class org.tensorflow.internal.c_api.TF_TString_Offset
size() - Method in class org.tensorflow.internal.c_api.TF_TString_Small
size(byte) - Method in class org.tensorflow.internal.c_api.TF_TString_Small
size() - Method in class org.tensorflow.internal.c_api.TF_TString_View
size(long) - Method in class org.tensorflow.internal.c_api.TF_TString_View
size(Scope, Shape<TInt32>) - Static method in class org.tensorflow.op.core.Shapes: Get the size represented by the TensorFlow shape.
size(Scope, Shape, Class) - Static method in class org.tensorflow.op.core.Shapes: Get the size represented by the TensorFlow shape.
size(Scope, Shape<TInt32>, Operand<TInt32>) - Static method in class org.tensorflow.op.core.Shapes: Get the size of the specified dimension in the shape.
size(Scope, Shape, Operand, Class) - Static method in class org.tensorflow.op.core.Shapes: Get the size of the specified dimension in the shape.
size(Scope, Operand<T>, Operand<TInt32>) - Static method in class org.tensorflow.op.core.Shapes: Get the size of the specified dimension for the shape of the tensor.
size(Scope, Operand<T>, Operand, Class) - Static method in class org.tensorflow.op.core.Shapes: Get the size of the specified dimension for the shape of the tensor.
Size - Class in org.tensorflow.op.core: Returns the size of a tensor.
Size(Operation) - Constructor for class org.tensorflow.op.core.Size
size(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Returns the size of a tensor.
size(Operand<? extends TType>, Class) - Method in class org.tensorflow.op.Ops: Returns the size of a tensor.
size(Shape<TInt32>) - Method in class org.tensorflow.op.ShapeOps: Get the size represented by the TensorFlow shape.
size(Operand<T>, Operand<TInt32>) - Method in class org.tensorflow.op.ShapeOps: Get the size of the specified dimension for the shape of the tensor.
size(Shape<TInt32>, Operand<TInt32>) - Method in class org.tensorflow.op.ShapeOps: Get the size of the specified dimension in the shape.
size(Shape, Class) - Method in class org.tensorflow.op.ShapeOps: Get the size represented by the TensorFlow shape.
size(Operand<T>, Operand, Class) - Method in class org.tensorflow.op.ShapeOps: Get the size of the specified dimension for the shape of the tensor.
size(Shape, Operand, Class) - Method in class org.tensorflow.op.ShapeOps: Get the size of the specified dimension in the shape.
Size.Inputs - Class in org.tensorflow.op.core
SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorShapeProto.Dim
SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.BundleEntryProto
SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.MemChunk
SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.SnapShot
sizeIndices - Variable in class org.tensorflow.op.xla.DynamicSlice.Inputs: The sizeIndices input
sizeOutput - Variable in class org.tensorflow.op.core.Slice.Inputs: size[i] specifies the number of elements of the 'i'th dimension of 'input' to slice.
sizeOutput - Variable in class org.tensorflow.op.core.TensorArray.Inputs: The size of the array.
sizeOutput - Variable in class org.tensorflow.op.core.TensorListResize.Inputs: The sizeOutput input
sizeOutput - Variable in class org.tensorflow.op.data.WindowDataset.Inputs: An integer scalar, representing the number of elements of the input dataset to combine into a window.
sizeOutput - Variable in class org.tensorflow.op.image.ExtractGlimpse.Inputs: A 1-D tensor of 2 elements containing the size of the glimpses to extract.
sizeOutput - Variable in class org.tensorflow.op.image.QuantizedResizeBilinear.Inputs: = A 1-D int32 Tensor of 2 elements: new_height, new_width.
sizeOutput - Variable in class org.tensorflow.op.image.RandomCrop.Inputs: 1-D of length 2 containing: crop_height, crop_width..
sizeOutput - Variable in class org.tensorflow.op.image.ResizeArea.Inputs: = A 1-D int32 Tensor of 2 elements: new_height, new_width.
sizeOutput - Variable in class org.tensorflow.op.image.ResizeBicubic.Inputs: = A 1-D int32 Tensor of 2 elements: new_height, new_width.
sizeOutput - Variable in class org.tensorflow.op.image.ResizeBilinear.Inputs: = A 1-D int32 Tensor of 2 elements: new_height, new_width.
sizeOutput - Variable in class org.tensorflow.op.image.ResizeNearestNeighbor.Inputs: = A 1-D int32 Tensor of 2 elements: new_height, new_width.
sizeOutput - Variable in class org.tensorflow.op.image.ResizeNearestNeighborGrad.Inputs: = A 1-D int32 Tensor of 2 elements: orig_height, orig_width.
sizeOutput() - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Gets sizeOutput.
sizeOutput - Variable in class org.tensorflow.op.image.ScaleAndTranslate.Inputs: The sizeOutput input
sizeOutput() - Method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Gets sizeOutput.
sizeOutput - Variable in class org.tensorflow.op.math.Bincount.Inputs: non-negative int32 scalar Tensor.
sizeOutput - Variable in class org.tensorflow.op.math.DenseBincount.Inputs: non-negative int scalar Tensor.
sizeOutput - Variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs: A 1-D int32 Tensor of 2 elements: new_height, new_width.
sizeOutput - Variable in class org.tensorflow.op.ragged.RaggedBincount.Inputs: non-negative int scalar Tensor.
sizeOutput - Variable in class org.tensorflow.op.risc.RiscSlice.Inputs: The sizeOutput input
sizeOutput - Variable in class org.tensorflow.op.sparse.SparseBincount.Inputs: non-negative int scalar Tensor.
sizeOutput - Variable in class org.tensorflow.op.sparse.SparseSlice.Inputs: 1-D.
sizeOutput - Variable in class org.tensorflow.op.xla.SetDynamicDimensionSize.Inputs: The sizeOutput input
sizes() - Method in class org.tensorflow.op.core.DecodeProto: Gets sizes.
sizes - Variable in class org.tensorflow.op.core.EncodeProto.Inputs: Tensor of int32 with shape [batch_shape, len(field_names)].
sizeSplits - Variable in class org.tensorflow.op.core.SplitV.Inputs: list containing the sizes of each output tensor along the split dimension.
skip - Variable in class org.tensorflow.op.math.SobolSample.Inputs: Positive scalar Tensor of dtype int32.
SKIP_VALUE - Static variable in enum org.tensorflow.proto.framework.ApiDef.Visibility: Do not include this op in the generated API.
SkipDataset - Class in org.tensorflow.op.data: Creates a dataset that skips count elements from the input_dataset.
SkipDataset(Operation) - Constructor for class org.tensorflow.op.data.SkipDataset
skipDataset(Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, SkipDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that skips count elements from the input_dataset.
SkipDataset.Inputs - Class in org.tensorflow.op.data
SkipDataset.Options - Class in org.tensorflow.op.data: Optional attributes for SkipDataset
Skipgram - Class in org.tensorflow.op.core: Parses a text file and creates a batch of examples.
Skipgram(Operation) - Constructor for class org.tensorflow.op.core.Skipgram
skipgram(String, Long, Skipgram.Options...) - Method in class org.tensorflow.op.Ops: Parses a text file and creates a batch of examples.
Skipgram.Inputs - Class in org.tensorflow.op.core
Skipgram.Options - Class in org.tensorflow.op.core: Optional attributes for Skipgram
skipHeaderLines - Variable in class org.tensorflow.op.io.TextLineReader.Inputs: Number of lines to skip from the beginning of every file.
skipHeaderLines(Long) - Method in class org.tensorflow.op.io.TextLineReader.Options: Sets the skipHeaderLines option.
skipHeaderLines(Long) - Static method in class org.tensorflow.op.io.TextLineReader: Sets the skipHeaderLines option.
SLACK_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.Options
slackPeriod - Variable in class org.tensorflow.op.data.PrefetchDataset.Inputs: The slackPeriod attribute
slackPeriod(Long) - Method in class org.tensorflow.op.data.PrefetchDataset.Options: Sets the slackPeriod option.
slackPeriod(Long) - Static method in class org.tensorflow.op.data.PrefetchDataset: Sets the slackPeriod option.
SleepDataset - Class in org.tensorflow.op.data.experimental: The ExperimentalSleepDataset operation
SleepDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.SleepDataset
SleepDataset - Class in org.tensorflow.op.data: The SleepDataset operation
SleepDataset(Operation) - Constructor for class org.tensorflow.op.data.SleepDataset
sleepDataset(Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: The SleepDataset operation
SleepDataset.Inputs - Class in org.tensorflow.op.data.experimental
SleepDataset.Inputs - Class in org.tensorflow.op.data
sleepMicroseconds - Variable in class org.tensorflow.op.data.experimental.SleepDataset.Inputs: The sleepMicroseconds input
sleepMicroseconds - Variable in class org.tensorflow.op.data.SleepDataset.Inputs: The sleepMicroseconds input
slice(long, long) - Method in class org.tensorflow.internal.buffer.ByteSequenceTensorBuffer
Slice<T extends TType> - Class in org.tensorflow.op.core: Return a slice from 'input'.
Slice(Operation) - Constructor for class org.tensorflow.op.core.Slice
slice(Operand<T>, Operand, Operand) - Method in class org.tensorflow.op.Ops: Return a slice from 'input'.
Slice.Inputs<T extends TType,U extends TNumber> - Class in org.tensorflow.op.core
SLICE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.SavedSlice
SLICE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.SavedSliceMeta
slicedActivations - Variable in class org.tensorflow.op.tpu.EmbeddingActivations.Inputs: The embedding activations Tensor to return.
slicedActivations - Variable in class org.tensorflow.op.tpu.TPUEmbeddingActivations.Inputs: Deprecated.

The embedding activations Tensor to return.
SLICES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.BundleEntryProto
sliceSizes - Variable in class org.tensorflow.op.xla.Gather.Inputs: slice_sizes[i] is the bounds for the slice on dimension i.
SlidingWindowDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that passes a sliding window over input_dataset.
SlidingWindowDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.SlidingWindowDataset
SlidingWindowDataset - Class in org.tensorflow.op.data: Creates a dataset that passes a sliding window over input_dataset.
SlidingWindowDataset(Operation) - Constructor for class org.tensorflow.op.data.SlidingWindowDataset
slidingWindowDataset(Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Creates a dataset that passes a sliding window over input_dataset.
SlidingWindowDataset.Inputs - Class in org.tensorflow.op.data.experimental
SlidingWindowDataset.Inputs - Class in org.tensorflow.op.data
sloppy - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The sloppy input
sloppy - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: The sloppy attribute
sloppy(Boolean) - Method in class org.tensorflow.op.data.experimental.ParseExampleDataset.Options: Sets the sloppy option.
sloppy(Boolean) - Static method in class org.tensorflow.op.data.experimental.ParseExampleDataset: Sets the sloppy option.
SLOT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NodeOutput
SLOT_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
SLOT_VARIABLE_NODE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
SLOT_VARIABLES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedObject
SLOT_VARIABLES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
SNAP_SHOT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.MemoryDump
Snapshot<T extends TType> - Class in org.tensorflow.op.core: Returns a copy of the input tensor.
Snapshot(Operation) - Constructor for class org.tensorflow.op.core.Snapshot
snapshot(Operand<T>) - Method in class org.tensorflow.op.Ops: Returns a copy of the input tensor.
SnapShot - Class in org.tensorflow.proto.util: Protobuf type tensorflow.SnapShot
SnapShot.Builder - Class in org.tensorflow.proto.util: Protobuf type tensorflow.SnapShot
Snapshot.Inputs<T extends TType> - Class in org.tensorflow.op.core
SNAPSHOT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.CommitId
SNAPSHOT_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.VariableDef
SnapshotDataset - Class in org.tensorflow.op.data: Creates a dataset that will write to / read from a snapshot.
SnapshotDataset(Operation) - Constructor for class org.tensorflow.op.data.SnapshotDataset
snapshotDataset(Operand<? extends TType>, Operand<TString>, Iterable<Operand<?>>, Iterable<Operand<?>>, List<Class<? extends TType>>, List<Shape>, ConcreteFunction, ConcreteFunction, SnapshotDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that will write to / read from a snapshot.
SnapshotDataset.Inputs - Class in org.tensorflow.op.data
SnapshotDataset.Options - Class in org.tensorflow.op.data: Optional attributes for SnapshotDataset
SnapshotDatasetReader - Class in org.tensorflow.op.data: The SnapshotDatasetReader operation
SnapshotDatasetReader(Operation) - Constructor for class org.tensorflow.op.data.SnapshotDatasetReader
SnapshotDatasetReader.Inputs - Class in org.tensorflow.op.data
SnapshotDatasetReader.Options - Class in org.tensorflow.op.data: Optional attributes for SnapshotDatasetReader
SnapshotMetadataRecord - Class in org.tensorflow.proto.data.experimental: This stores the metadata information present in each snapshot record.
SnapshotMetadataRecord.Builder - Class in org.tensorflow.proto.data.experimental: This stores the metadata information present in each snapshot record.
SnapshotMetadataRecordOrBuilder - Interface in org.tensorflow.proto.data.experimental
SnapshotNestedDatasetReader - Class in org.tensorflow.op.data: The SnapshotNestedDatasetReader operation
SnapshotNestedDatasetReader(Operation) - Constructor for class org.tensorflow.op.data.SnapshotNestedDatasetReader
SnapshotNestedDatasetReader.Inputs - Class in org.tensorflow.op.data
SnapShotOrBuilder - Interface in org.tensorflow.proto.util
SnapshotProtos - Class in org.tensorflow.proto.data.experimental
SnapshotRecord - Class in org.tensorflow.proto.data.experimental: Each SnapshotRecord represents one batch of pre-processed input data.
SnapshotRecord.Builder - Class in org.tensorflow.proto.data.experimental: Each SnapshotRecord represents one batch of pre-processed input data.
SnapshotRecordOrBuilder - Interface in org.tensorflow.proto.data.experimental
SnapshotTensorMetadata - Class in org.tensorflow.proto.data.experimental: Metadata for all the tensors in a Snapshot Record.
SnapshotTensorMetadata.Builder - Class in org.tensorflow.proto.data.experimental: Metadata for all the tensors in a Snapshot Record.
SnapshotTensorMetadataOrBuilder - Interface in org.tensorflow.proto.data.experimental
SobolSample<T extends TNumber> - Class in org.tensorflow.op.math: Generates points from the Sobol sequence.
SobolSample(Operation) - Constructor for class org.tensorflow.op.math.SobolSample
SobolSample.Inputs - Class in org.tensorflow.op.math
SOC_OP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferNodeInfo
softmax() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmax: Gets softmax.
softmax - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmaxGrad.Inputs: A CSRSparseMatrix.
Softmax<T extends TNumber> - Class in org.tensorflow.op.nn: Computes softmax activations.
Softmax(Operation) - Constructor for class org.tensorflow.op.nn.Softmax
softmax() - Method in class org.tensorflow.op.nn.Softmax: Gets softmax.
softmax(Operand<T>) - Method in class org.tensorflow.op.NnOps: Computes softmax activations.
Softmax.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
SoftmaxCrossEntropyWithLogits<T extends TNumber> - Class in org.tensorflow.op.nn: Computes softmax cross entropy cost and gradients to backpropagate.
SoftmaxCrossEntropyWithLogits(Operation) - Constructor for class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits
softmaxCrossEntropyWithLogits(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.NnOps: Computes softmax cross entropy cost and gradients to backpropagate.
SoftmaxCrossEntropyWithLogits.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
softNmsSigma - Variable in class org.tensorflow.op.image.NonMaxSuppression.Inputs: A 0-D float tensor representing the sigma parameter for Soft NMS; see Bodla et al (c.f.
Softplus<T extends TNumber> - Class in org.tensorflow.op.math: The Softplus operation
Softplus(Operation) - Constructor for class org.tensorflow.op.math.Softplus
softplus(Operand<T>) - Method in class org.tensorflow.op.MathOps: The Softplus operation
Softplus.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
SoftplusGrad<T extends TNumber> - Class in org.tensorflow.op.math: Computes softplus gradients for a softplus operation.
SoftplusGrad(Operation) - Constructor for class org.tensorflow.op.math.SoftplusGrad
SoftplusGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
Softsign<T extends TNumber> - Class in org.tensorflow.op.nn: Computes softsign: features / (abs(features) + 1).
Softsign(Operation) - Constructor for class org.tensorflow.op.nn.Softsign
softsign(Operand<T>) - Method in class org.tensorflow.op.NnOps: Computes softsign: features / (abs(features) + 1).
Softsign.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
SoftsignGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes softsign gradients for a softsign operation.
SoftsignGrad(Operation) - Constructor for class org.tensorflow.op.nn.SoftsignGrad
SoftsignGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
SOFTWARE_TRACE_VALUE - Static variable in enum org.tensorflow.proto.framework.RunOptions.TraceLevel: SOFTWARE_TRACE = 1;
Solve<T extends TType> - Class in org.tensorflow.op.linalg: Solves systems of linear equations.
Solve(Operation) - Constructor for class org.tensorflow.op.linalg.Solve
solve(Operand<T>, Operand<T>, Solve.Options...) - Method in class org.tensorflow.op.LinalgOps: Solves systems of linear equations.
Solve.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
Solve.Options - Class in org.tensorflow.op.linalg: Optional attributes for Solve
Sort<T extends TType> - Class in org.tensorflow.op.xla: Wraps the XLA Sort operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#sort .
Sort(Operation) - Constructor for class org.tensorflow.op.xla.Sort
sort(Operand<T>) - Method in class org.tensorflow.op.XlaOps: Wraps the XLA Sort operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#sort .
Sort.Inputs<T extends TType> - Class in org.tensorflow.op.xla
sorted - Variable in class org.tensorflow.op.nn.TopK.Inputs: If true the resulting `k` elements will be sorted by the values in descending order.
sorted(Boolean) - Method in class org.tensorflow.op.nn.TopK.Options: Sets the sorted option.
sorted(Boolean) - Static method in class org.tensorflow.op.nn.TopK: Sets the sorted option.
sortedInputs - Variable in class org.tensorflow.op.core.LowerBound.Inputs: 2-D Tensor where each row is ordered.
sortedInputs - Variable in class org.tensorflow.op.core.UpperBound.Inputs: 2-D Tensor where each row is ordered.
sortedKeys() - Method in class org.tensorflow.op.xla.KeyValueSort: Gets sortedKeys.
sortedValues() - Method in class org.tensorflow.op.xla.KeyValueSort: Gets sortedValues.
source - Variable in class org.tensorflow.op.core.TensorArrayGrad.Inputs: The gradient source string, used to decide which gradient TensorArray to return.
source - Variable in class org.tensorflow.op.core.TensorArrayGradWithShape.Inputs: The gradient source string, used to decide which gradient TensorArray to return.
source - Variable in class org.tensorflow.op.xla.SelectAndScatter.Inputs: a tensor of values to scatter
SOURCE_FILE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.DebugEvent
SOURCE_FILES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DebuggedSourceFiles
SourceFile - Class in org.tensorflow.proto.util: Content of a source file involved in the execution of the debugged TensorFlow program.
SourceFile.Builder - Class in org.tensorflow.proto.util: Content of a source file involved in the execution of the debugged TensorFlow program.
SourceFileOrBuilder - Interface in org.tensorflow.proto.util
sourceTargetPairs - Variable in class org.tensorflow.op.collective.CollectivePermute.Inputs: A tensor with shape [num_pairs, 2].
SpaceToBatch<T extends TType> - Class in org.tensorflow.op.nn: SpaceToBatch for 4-D tensors of type T.
SpaceToBatch(Operation) - Constructor for class org.tensorflow.op.nn.SpaceToBatch
spaceToBatch(Operand<T>, Operand<? extends TNumber>, Long) - Method in class org.tensorflow.op.NnOps: SpaceToBatch for 4-D tensors of type T.
SpaceToBatch.Inputs<T extends TType> - Class in org.tensorflow.op.nn
SpaceToBatchNd<T extends TType> - Class in org.tensorflow.op.core: SpaceToBatch for N-D tensors of type T.
SpaceToBatchNd(Operation) - Constructor for class org.tensorflow.op.core.SpaceToBatchNd
spaceToBatchNd(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.Ops: SpaceToBatch for N-D tensors of type T.
SpaceToBatchNd.Inputs<T extends TType> - Class in org.tensorflow.op.core
SpaceToDepth<T extends TType> - Class in org.tensorflow.op.nn: SpaceToDepth for tensors of type T.
SpaceToDepth(Operation) - Constructor for class org.tensorflow.op.nn.SpaceToDepth
spaceToDepth(Operand<T>, Long, SpaceToDepth.Options...) - Method in class org.tensorflow.op.NnOps: SpaceToDepth for tensors of type T.
SpaceToDepth.Inputs<T extends TType> - Class in org.tensorflow.op.nn
SpaceToDepth.Options - Class in org.tensorflow.op.nn: Optional attributes for SpaceToDepth
sparse - Variable in class org.tensorflow.op.Ops
SPARSE_TENSOR_SPEC_VALUE - Static variable in enum org.tensorflow.proto.framework.TypeSpecProto.TypeSpecClass: tf.SparseTensorSpec
SparseAccumulatorApplyGradient - Class in org.tensorflow.op.sparse: Applies a sparse gradient to a given accumulator.
SparseAccumulatorApplyGradient(Operation) - Constructor for class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient
sparseAccumulatorApplyGradient(Operand<TString>, Operand<TInt64>, Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>, Boolean) - Method in class org.tensorflow.op.SparseOps: Applies a sparse gradient to a given accumulator.
SparseAccumulatorApplyGradient.Inputs - Class in org.tensorflow.op.sparse
SparseAccumulatorTakeGradient<T extends TType> - Class in org.tensorflow.op.sparse: Extracts the average sparse gradient in a SparseConditionalAccumulator.
SparseAccumulatorTakeGradient(Operation) - Constructor for class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient
sparseAccumulatorTakeGradient(Operand<TString>, Operand<TInt32>, Class<T>) - Method in class org.tensorflow.op.SparseOps: Extracts the average sparse gradient in a SparseConditionalAccumulator.
SparseAccumulatorTakeGradient.Inputs - Class in org.tensorflow.op.sparse
SparseAdd<T extends TType> - Class in org.tensorflow.op.sparse: Adds two SparseTensor objects to produce another SparseTensor.
SparseAdd(Operation) - Constructor for class org.tensorflow.op.sparse.SparseAdd
sparseAdd(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.SparseOps: Adds two SparseTensor objects to produce another SparseTensor.
SparseAdd.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
SparseAddGrad<T extends TType> - Class in org.tensorflow.op.sparse: The gradient operator for the SparseAdd op.
SparseAddGrad(Operation) - Constructor for class org.tensorflow.op.sparse.SparseAddGrad
sparseAddGrad(Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>) - Method in class org.tensorflow.op.SparseOps: The gradient operator for the SparseAdd op.
SparseAddGrad.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
SparseApplyAdadelta<T extends TType> - Class in org.tensorflow.op.train: var: Should be from a Variable().
SparseApplyAdadelta(Operation) - Constructor for class org.tensorflow.op.train.SparseApplyAdadelta
sparseApplyAdadelta(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, SparseApplyAdadelta.Options...) - Method in class org.tensorflow.op.TrainOps: var: Should be from a Variable().
SparseApplyAdadelta.Inputs<T extends TType> - Class in org.tensorflow.op.train
SparseApplyAdadelta.Options - Class in org.tensorflow.op.train: Optional attributes for SparseApplyAdadelta
SparseApplyAdagrad<T extends TType> - Class in org.tensorflow.op.train: Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
SparseApplyAdagrad(Operation) - Constructor for class org.tensorflow.op.train.SparseApplyAdagrad
SparseApplyAdagrad.Inputs<T extends TType> - Class in org.tensorflow.op.train
SparseApplyAdagrad.Options - Class in org.tensorflow.op.train: Optional attributes for SparseApplyAdagrad
SparseApplyAdagradDa<T extends TType> - Class in org.tensorflow.op.train: Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
SparseApplyAdagradDa(Operation) - Constructor for class org.tensorflow.op.train.SparseApplyAdagradDa
sparseApplyAdagradDa(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, Operand<T>, Operand<T>, Operand<T>, Operand<TInt64>, SparseApplyAdagradDa.Options...) - Method in class org.tensorflow.op.TrainOps: Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
SparseApplyAdagradDa.Inputs<T extends TType> - Class in org.tensorflow.op.train
SparseApplyAdagradDa.Options - Class in org.tensorflow.op.train: Optional attributes for SparseApplyAdagradDa
SparseApplyCenteredRmsProp<T extends TType> - Class in org.tensorflow.op.train: Update '*var' according to the centered RMSProp algorithm.
SparseApplyCenteredRmsProp(Operation) - Constructor for class org.tensorflow.op.train.SparseApplyCenteredRmsProp
sparseApplyCenteredRmsProp(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, SparseApplyCenteredRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the centered RMSProp algorithm.
SparseApplyCenteredRmsProp.Inputs<T extends TType> - Class in org.tensorflow.op.train
SparseApplyCenteredRmsProp.Options - Class in org.tensorflow.op.train: Optional attributes for SparseApplyCenteredRmsProp
SparseApplyFtrl<T extends TType> - Class in org.tensorflow.op.train: Update relevant entries in '*var' according to the Ftrl-proximal scheme.
SparseApplyFtrl(Operation) - Constructor for class org.tensorflow.op.train.SparseApplyFtrl
sparseApplyFtrl(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, SparseApplyFtrl.Options...) - Method in class org.tensorflow.op.TrainOps: Update relevant entries in '*var' according to the Ftrl-proximal scheme.
SparseApplyFtrl.Inputs<T extends TType> - Class in org.tensorflow.op.train
SparseApplyFtrl.Options - Class in org.tensorflow.op.train: Optional attributes for SparseApplyFtrl
SparseApplyMomentum<T extends TType> - Class in org.tensorflow.op.train: Update relevant entries in '*var' and '*accum' according to the momentum scheme.
SparseApplyMomentum(Operation) - Constructor for class org.tensorflow.op.train.SparseApplyMomentum
sparseApplyMomentum(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, Operand<T>, SparseApplyMomentum.Options...) - Method in class org.tensorflow.op.TrainOps: Update relevant entries in '*var' and '*accum' according to the momentum scheme.
SparseApplyMomentum.Inputs<T extends TType> - Class in org.tensorflow.op.train
SparseApplyMomentum.Options - Class in org.tensorflow.op.train: Optional attributes for SparseApplyMomentum
SparseApplyProximalAdagrad<T extends TType> - Class in org.tensorflow.op.train: Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
SparseApplyProximalAdagrad(Operation) - Constructor for class org.tensorflow.op.train.SparseApplyProximalAdagrad
sparseApplyProximalAdagrad(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, SparseApplyProximalAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps: Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
SparseApplyProximalAdagrad.Inputs<T extends TType> - Class in org.tensorflow.op.train
SparseApplyProximalAdagrad.Options - Class in org.tensorflow.op.train: Optional attributes for SparseApplyProximalAdagrad
SparseApplyProximalGradientDescent<T extends TType> - Class in org.tensorflow.op.train: Sparse update '*var' as FOBOS algorithm with fixed learning rate.
SparseApplyProximalGradientDescent(Operation) - Constructor for class org.tensorflow.op.train.SparseApplyProximalGradientDescent
sparseApplyProximalGradientDescent(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, SparseApplyProximalGradientDescent.Options...) - Method in class org.tensorflow.op.TrainOps: Sparse update '*var' as FOBOS algorithm with fixed learning rate.
SparseApplyProximalGradientDescent.Inputs<T extends TType> - Class in org.tensorflow.op.train
SparseApplyProximalGradientDescent.Options - Class in org.tensorflow.op.train: Optional attributes for SparseApplyProximalGradientDescent
SparseApplyRmsProp<T extends TType> - Class in org.tensorflow.op.train: Update '*var' according to the RMSProp algorithm.
SparseApplyRmsProp(Operation) - Constructor for class org.tensorflow.op.train.SparseApplyRmsProp
sparseApplyRmsProp(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, SparseApplyRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the RMSProp algorithm.
SparseApplyRmsProp.Inputs<T extends TType> - Class in org.tensorflow.op.train
SparseApplyRmsProp.Options - Class in org.tensorflow.op.train: Optional attributes for SparseApplyRmsProp
SparseBincount - Class in org.tensorflow.op.sparse: Counts the number of occurrences of each value in an integer array.
SparseBincount(Operation) - Constructor for class org.tensorflow.op.sparse.SparseBincount
sparseBincount(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<T>, Operand, SparseBincount.Options...) - Method in class org.tensorflow.op.SparseOps: Counts the number of occurrences of each value in an integer array.
SparseBincount.Inputs<T extends TNumber,U extends TNumber> - Class in org.tensorflow.op.sparse
SparseBincount.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseBincount
SparseConcat<T extends TType> - Class in org.tensorflow.op.sparse: Concatenates a list of SparseTensor along the specified dimension.
SparseConcat(Operation) - Constructor for class org.tensorflow.op.sparse.SparseConcat
sparseConcat(Iterable<Operand<TInt64>>, Iterable<Operand<T>>, Iterable<Operand<TInt64>>, Long) - Method in class org.tensorflow.op.SparseOps: Concatenates a list of SparseTensor along the specified dimension.
SparseConcat.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
SparseConditionalAccumulator - Class in org.tensorflow.op.sparse: A conditional accumulator for aggregating sparse gradients.
SparseConditionalAccumulator(Operation) - Constructor for class org.tensorflow.op.sparse.SparseConditionalAccumulator
sparseConditionalAccumulator(Class<T>, Shape, SparseConditionalAccumulator.Options...) - Method in class org.tensorflow.op.SparseOps: A conditional accumulator for aggregating sparse gradients.
SparseConditionalAccumulator.Inputs - Class in org.tensorflow.op.sparse
SparseConditionalAccumulator.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseConditionalAccumulator
SparseCountSparseOutput - Class in org.tensorflow.op.sparse: Performs sparse-output bin counting for a sparse tensor input.
SparseCountSparseOutput(Operation) - Constructor for class org.tensorflow.op.sparse.SparseCountSparseOutput
SparseCountSparseOutput.Inputs - Class in org.tensorflow.op.sparse
SparseCountSparseOutput.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseCountSparseOutput
SparseCross - Class in org.tensorflow.op.sparse: Generates sparse cross from a list of sparse and dense tensors.
SparseCross(Operation) - Constructor for class org.tensorflow.op.sparse.SparseCross
sparseCross(Iterable<Operand<TInt64>>, Iterable<Operand<?>>, Iterable<Operand<TInt64>>, Iterable<Operand<?>>, Operand<TString>) - Method in class org.tensorflow.op.SparseOps: Generates sparse cross from a list of sparse and dense tensors.
SparseCross.Inputs - Class in org.tensorflow.op.sparse
SparseCrossHashed - Class in org.tensorflow.op.sparse: Generates sparse cross from a list of sparse and dense tensors.
SparseCrossHashed(Operation) - Constructor for class org.tensorflow.op.sparse.SparseCrossHashed
sparseCrossHashed(Iterable<Operand<TInt64>>, Iterable<Operand<?>>, Iterable<Operand<TInt64>>, Iterable<Operand<?>>, Operand<TInt64>, Operand<TBool>, Operand<TInt64>) - Method in class org.tensorflow.op.SparseOps: Generates sparse cross from a list of sparse and dense tensors.
SparseCrossHashed.Inputs - Class in org.tensorflow.op.sparse
SparseDenseCwiseAdd<T extends TType> - Class in org.tensorflow.op.sparse: Adds up a SparseTensor and a dense Tensor, using these special rules: (1) Broadcasts the dense side to have the same shape as the sparse side, if eligible; (2) Then, only the dense values pointed to by the indices of the SparseTensor participate in the cwise addition.
SparseDenseCwiseAdd(Operation) - Constructor for class org.tensorflow.op.sparse.SparseDenseCwiseAdd
sparseDenseCwiseAdd(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<T>) - Method in class org.tensorflow.op.SparseOps: Adds up a SparseTensor and a dense Tensor, using these special rules: (1) Broadcasts the dense side to have the same shape as the sparse side, if eligible; (2) Then, only the dense values pointed to by the indices of the SparseTensor participate in the cwise addition.
SparseDenseCwiseAdd.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
SparseDenseCwiseDiv<T extends TType> - Class in org.tensorflow.op.sparse: Component-wise divides a SparseTensor by a dense Tensor.
SparseDenseCwiseDiv(Operation) - Constructor for class org.tensorflow.op.sparse.SparseDenseCwiseDiv
sparseDenseCwiseDiv(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<T>) - Method in class org.tensorflow.op.SparseOps: Component-wise divides a SparseTensor by a dense Tensor.
SparseDenseCwiseDiv.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
SparseDenseCwiseMul<T extends TType> - Class in org.tensorflow.op.sparse: Component-wise multiplies a SparseTensor by a dense Tensor.
SparseDenseCwiseMul(Operation) - Constructor for class org.tensorflow.op.sparse.SparseDenseCwiseMul
sparseDenseCwiseMul(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<T>) - Method in class org.tensorflow.op.SparseOps: Component-wise multiplies a SparseTensor by a dense Tensor.
SparseDenseCwiseMul.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
sparseDenseShape() - Method in class org.tensorflow.op.ragged.RaggedTensorToSparse: Gets sparseDenseShape.
sparseExampleIndices - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a list of vectors which contain example indices.
sparseFeatureIndices - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a list of vectors which contain feature indices.
sparseFeatureValues - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a list of vectors which contains feature value associated with each feature group.
SparseFillEmptyRows<T extends TType> - Class in org.tensorflow.op.sparse: Fills empty rows in the input 2-D SparseTensor with a default value.
SparseFillEmptyRows(Operation) - Constructor for class org.tensorflow.op.sparse.SparseFillEmptyRows
sparseFillEmptyRows(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<T>) - Method in class org.tensorflow.op.SparseOps: Fills empty rows in the input 2-D SparseTensor with a default value.
SparseFillEmptyRows.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
SparseFillEmptyRowsGrad<T extends TType> - Class in org.tensorflow.op.sparse: The gradient of SparseFillEmptyRows.
SparseFillEmptyRowsGrad(Operation) - Constructor for class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad
sparseFillEmptyRowsGrad(Operand<TInt64>, Operand<T>) - Method in class org.tensorflow.op.SparseOps: The gradient of SparseFillEmptyRows.
SparseFillEmptyRowsGrad.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
sparseHandle() - Method in class org.tensorflow.op.sparse.AddSparseToTensorsMap: Gets sparseHandle.
sparseHandles() - Method in class org.tensorflow.op.sparse.AddManySparseToTensorsMap: Gets sparseHandles.
sparseHandles - Variable in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap.Inputs: 1-D, The N serialized SparseTensor objects.
sparseIndices() - Method in class org.tensorflow.op.io.DeserializeManySparse: Gets sparseIndices.
sparseIndices() - Method in class org.tensorflow.op.io.ParseExample: Gets sparseIndices.
sparseIndices() - Method in class org.tensorflow.op.io.ParseSingleExample: Gets sparseIndices.
sparseIndices - Variable in class org.tensorflow.op.io.SerializeManySparse.Inputs: 2-D.
sparseIndices - Variable in class org.tensorflow.op.io.SerializeSparse.Inputs: 2-D.
sparseIndices - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The indices tensor for each SparseTensor input.
sparseIndices() - Method in class org.tensorflow.op.ragged.RaggedTensorToSparse: Gets sparseIndices.
sparseIndices - Variable in class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Inputs: 2-D.
sparseIndices - Variable in class org.tensorflow.op.sparse.AddSparseToTensorsMap.Inputs: 2-D.
sparseIndices() - Method in class org.tensorflow.op.sparse.DeserializeSparse: Gets sparseIndices.
sparseIndices - Variable in class org.tensorflow.op.sparse.SparseToDense.Inputs: 0-D, 1-D, or 2-D.
sparseIndices() - Method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap: Gets sparseIndices.
sparseIndices - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a list of vectors where each value is the indices which has corresponding weights in sparse_weights.
sparseInput - Variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToDense.Inputs: A batched CSRSparseMatrix.
sparseKeys - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: A list of string keys in the examples features.
sparseKeys - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: A list of string keys in the examples features.
sparseKeys - Variable in class org.tensorflow.op.io.ParseExample.Inputs: Vector of strings.
sparseKeys - Variable in class org.tensorflow.op.io.ParseSingleExample.Inputs: A list of `num_sparse` strings.
SparseMatMul - Class in org.tensorflow.op.sparse: Multiply matrix "a" by matrix "b".
SparseMatMul(Operation) - Constructor for class org.tensorflow.op.sparse.SparseMatMul
sparseMatMul(Operand<? extends TNumber>, Operand<? extends TNumber>, SparseMatMul.Options...) - Method in class org.tensorflow.op.SparseOps: Multiply matrix "a" by matrix "b".
SparseMatMul.Inputs - Class in org.tensorflow.op.sparse
SparseMatMul.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseMatMul
sparseMatrix - Variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToSparseTensor.Inputs: A (possibly batched) CSRSparseMatrix.
sparseMatrix - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixNNZ.Inputs: A CSRSparseMatrix.
sparseMatrix() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixZeros: Gets sparseMatrix.
sparseMatrix() - Method in class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix: Gets sparseMatrix.
SparseMatrixAdd - Class in org.tensorflow.op.linalg.sparse: Sparse addition of two CSR matrices, C = alpha * A + beta * B.
SparseMatrixAdd(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixAdd
SparseMatrixAdd.Inputs<T extends TType> - Class in org.tensorflow.op.linalg.sparse
SparseMatrixMatMul<T extends TType> - Class in org.tensorflow.op.linalg.sparse: Matrix-multiplies a sparse matrix with a dense matrix.
SparseMatrixMatMul(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul
SparseMatrixMatMul.Inputs<T extends TType> - Class in org.tensorflow.op.linalg.sparse
SparseMatrixMatMul.Options - Class in org.tensorflow.op.linalg.sparse: Optional attributes for SparseMatrixMatMul
SparseMatrixMul - Class in org.tensorflow.op.linalg.sparse: Element-wise multiplication of a sparse matrix with a dense tensor.
SparseMatrixMul(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixMul
SparseMatrixMul.Inputs - Class in org.tensorflow.op.linalg.sparse
SparseMatrixNNZ - Class in org.tensorflow.op.linalg.sparse: Returns the number of nonzeroes of sparse_matrix.
SparseMatrixNNZ(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixNNZ
SparseMatrixNNZ.Inputs - Class in org.tensorflow.op.linalg.sparse
SparseMatrixOrderingAMD - Class in org.tensorflow.op.linalg.sparse: Computes the Approximate Minimum Degree (AMD) ordering of input.
SparseMatrixOrderingAMD(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixOrderingAMD
SparseMatrixOrderingAMD.Inputs - Class in org.tensorflow.op.linalg.sparse
SparseMatrixSoftmax - Class in org.tensorflow.op.linalg.sparse: Calculates the softmax of a CSRSparseMatrix.
SparseMatrixSoftmax(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmax
SparseMatrixSoftmax.Inputs - Class in org.tensorflow.op.linalg.sparse
SparseMatrixSoftmaxGrad - Class in org.tensorflow.op.linalg.sparse: Calculates the gradient of the SparseMatrixSoftmax op.
SparseMatrixSoftmaxGrad(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmaxGrad
SparseMatrixSoftmaxGrad.Inputs - Class in org.tensorflow.op.linalg.sparse
SparseMatrixSparseCholesky - Class in org.tensorflow.op.linalg.sparse: Computes the sparse Cholesky decomposition of input.
SparseMatrixSparseCholesky(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixSparseCholesky
SparseMatrixSparseCholesky.Inputs - Class in org.tensorflow.op.linalg.sparse
SparseMatrixSparseMatMul - Class in org.tensorflow.op.linalg.sparse: Sparse-matrix-multiplies two CSR matrices a and b.
SparseMatrixSparseMatMul(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul
SparseMatrixSparseMatMul.Inputs - Class in org.tensorflow.op.linalg.sparse
SparseMatrixSparseMatMul.Options - Class in org.tensorflow.op.linalg.sparse: Optional attributes for SparseMatrixSparseMatMul
SparseMatrixTranspose - Class in org.tensorflow.op.linalg.sparse: Transposes the inner (matrix) dimensions of a CSRSparseMatrix.
SparseMatrixTranspose(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose
SparseMatrixTranspose.Inputs - Class in org.tensorflow.op.linalg.sparse
SparseMatrixTranspose.Options - Class in org.tensorflow.op.linalg.sparse: Optional attributes for SparseMatrixTranspose
SparseMatrixZeros - Class in org.tensorflow.op.linalg.sparse: Creates an all-zeros CSRSparseMatrix with shape dense_shape.
SparseMatrixZeros(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixZeros
SparseMatrixZeros.Inputs - Class in org.tensorflow.op.linalg.sparse
SparseOps - Class in org.tensorflow.op: An API for building sparse operations as Ops
sparseOutput() - Method in class org.tensorflow.op.linalg.sparse.DenseToCSRSparseMatrix: Gets sparseOutput.
SparseReduceMax<T extends TNumber> - Class in org.tensorflow.op.sparse: Computes the max of elements across dimensions of a SparseTensor.
SparseReduceMax(Operation) - Constructor for class org.tensorflow.op.sparse.SparseReduceMax
sparseReduceMax(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt32>, SparseReduceMax.Options...) - Method in class org.tensorflow.op.SparseOps: Computes the max of elements across dimensions of a SparseTensor.
SparseReduceMax.Inputs<T extends TNumber> - Class in org.tensorflow.op.sparse
SparseReduceMax.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseReduceMax
SparseReduceMaxSparse<T extends TNumber> - Class in org.tensorflow.op.sparse: Computes the max of elements across dimensions of a SparseTensor.
SparseReduceMaxSparse(Operation) - Constructor for class org.tensorflow.op.sparse.SparseReduceMaxSparse
sparseReduceMaxSparse(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt32>, SparseReduceMaxSparse.Options...) - Method in class org.tensorflow.op.SparseOps: Computes the max of elements across dimensions of a SparseTensor.
SparseReduceMaxSparse.Inputs<T extends TNumber> - Class in org.tensorflow.op.sparse
SparseReduceMaxSparse.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseReduceMaxSparse
SparseReduceSum<T extends TType> - Class in org.tensorflow.op.sparse: Computes the sum of elements across dimensions of a SparseTensor.
SparseReduceSum(Operation) - Constructor for class org.tensorflow.op.sparse.SparseReduceSum
sparseReduceSum(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt32>, SparseReduceSum.Options...) - Method in class org.tensorflow.op.SparseOps: Computes the sum of elements across dimensions of a SparseTensor.
SparseReduceSum.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
SparseReduceSum.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseReduceSum
SparseReduceSumSparse<T extends TType> - Class in org.tensorflow.op.sparse: Computes the sum of elements across dimensions of a SparseTensor.
SparseReduceSumSparse(Operation) - Constructor for class org.tensorflow.op.sparse.SparseReduceSumSparse
sparseReduceSumSparse(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt32>, SparseReduceSumSparse.Options...) - Method in class org.tensorflow.op.SparseOps: Computes the sum of elements across dimensions of a SparseTensor.
SparseReduceSumSparse.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
SparseReduceSumSparse.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseReduceSumSparse
SparseReorder<T extends TType> - Class in org.tensorflow.op.sparse: Reorders a SparseTensor into the canonical, row-major ordering.
SparseReorder(Operation) - Constructor for class org.tensorflow.op.sparse.SparseReorder
sparseReorder(Operand<TInt64>, Operand<T>, Operand<TInt64>) - Method in class org.tensorflow.op.SparseOps: Reorders a SparseTensor into the canonical, row-major ordering.
SparseReorder.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
SparseReshape - Class in org.tensorflow.op.sparse: Reshapes a SparseTensor to represent values in a new dense shape.
SparseReshape(Operation) - Constructor for class org.tensorflow.op.sparse.SparseReshape
sparseReshape(Operand<TInt64>, Operand<TInt64>, Operand<TInt64>) - Method in class org.tensorflow.op.SparseOps: Reshapes a SparseTensor to represent values in a new dense shape.
SparseReshape.Inputs - Class in org.tensorflow.op.sparse
SparseSegmentMean<T extends TNumber> - Class in org.tensorflow.op.sparse: Computes the mean along sparse segments of a tensor.
SparseSegmentMean(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentMean
sparseSegmentMean(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.SparseOps: Computes the mean along sparse segments of a tensor.
SparseSegmentMean.Inputs<T extends TNumber> - Class in org.tensorflow.op.sparse
SparseSegmentMeanGrad<T extends TNumber> - Class in org.tensorflow.op.sparse: Computes gradients for SparseSegmentMean.
SparseSegmentMeanGrad(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentMeanGrad
sparseSegmentMeanGrad(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TInt32>) - Method in class org.tensorflow.op.SparseOps: Computes gradients for SparseSegmentMean.
SparseSegmentMeanGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.sparse
SparseSegmentMeanWithNumSegments<T extends TNumber> - Class in org.tensorflow.op.sparse: Computes the mean along sparse segments of a tensor.
SparseSegmentMeanWithNumSegments(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments
sparseSegmentMeanWithNumSegments(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.SparseOps: Computes the mean along sparse segments of a tensor.
SparseSegmentMeanWithNumSegments.Inputs<T extends TNumber> - Class in org.tensorflow.op.sparse
SparseSegmentSqrtN<T extends TNumber> - Class in org.tensorflow.op.sparse: Computes the sum along sparse segments of a tensor divided by the sqrt of N.
SparseSegmentSqrtN(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSqrtN
sparseSegmentSqrtN(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.SparseOps: Computes the sum along sparse segments of a tensor divided by the sqrt of N.
SparseSegmentSqrtN.Inputs<T extends TNumber> - Class in org.tensorflow.op.sparse
SparseSegmentSqrtNGrad<T extends TNumber> - Class in org.tensorflow.op.sparse: Computes gradients for SparseSegmentSqrtN.
SparseSegmentSqrtNGrad(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad
sparseSegmentSqrtNGrad(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TInt32>) - Method in class org.tensorflow.op.SparseOps: Computes gradients for SparseSegmentSqrtN.
SparseSegmentSqrtNGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.sparse
SparseSegmentSqrtNWithNumSegments<T extends TNumber> - Class in org.tensorflow.op.sparse: Computes the sum along sparse segments of a tensor divided by the sqrt of N.
SparseSegmentSqrtNWithNumSegments(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments
sparseSegmentSqrtNWithNumSegments(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.SparseOps: Computes the sum along sparse segments of a tensor divided by the sqrt of N.
SparseSegmentSqrtNWithNumSegments.Inputs<T extends TNumber> - Class in org.tensorflow.op.sparse
SparseSegmentSum<T extends TNumber> - Class in org.tensorflow.op.sparse: Computes the sum along sparse segments of a tensor.
SparseSegmentSum(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSum
sparseSegmentSum(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.SparseOps: Computes the sum along sparse segments of a tensor.
SparseSegmentSum.Inputs<T extends TNumber> - Class in org.tensorflow.op.sparse
SparseSegmentSumGrad<T extends TNumber> - Class in org.tensorflow.op.sparse: Computes gradients for SparseSegmentSum.
SparseSegmentSumGrad(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSumGrad
sparseSegmentSumGrad(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TInt32>) - Method in class org.tensorflow.op.SparseOps: Computes gradients for SparseSegmentSum.
SparseSegmentSumGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.sparse
SparseSegmentSumWithNumSegments<T extends TNumber> - Class in org.tensorflow.op.sparse: Computes the sum along sparse segments of a tensor.
SparseSegmentSumWithNumSegments(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments
sparseSegmentSumWithNumSegments(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.SparseOps: Computes the sum along sparse segments of a tensor.
SparseSegmentSumWithNumSegments.Inputs<T extends TNumber> - Class in org.tensorflow.op.sparse
sparseShape() - Method in class org.tensorflow.op.io.DeserializeManySparse: Gets sparseShape.
sparseShape - Variable in class org.tensorflow.op.io.SerializeManySparse.Inputs: 1-D.
sparseShape - Variable in class org.tensorflow.op.io.SerializeSparse.Inputs: 1-D.
sparseShape - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The dense_shape tensor for each SparseTensor input.
sparseShape - Variable in class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Inputs: 1-D.
sparseShape - Variable in class org.tensorflow.op.sparse.AddSparseToTensorsMap.Inputs: 1-D.
sparseShape() - Method in class org.tensorflow.op.sparse.DeserializeSparse: Gets sparseShape.
sparseShape() - Method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap: Gets sparseShape.
sparseShapes() - Method in class org.tensorflow.op.io.ParseExample: Gets sparseShapes.
sparseShapes() - Method in class org.tensorflow.op.io.ParseSingleExample: Gets sparseShapes.
SparseSlice<T extends TType> - Class in org.tensorflow.op.sparse: Slice a SparseTensor based on the start and size.
SparseSlice(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSlice
sparseSlice(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>) - Method in class org.tensorflow.op.SparseOps: Slice a SparseTensor based on the start and size.
SparseSlice.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
SparseSliceGrad<T extends TType> - Class in org.tensorflow.op.sparse: The gradient operator for the SparseSlice op.
SparseSliceGrad(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSliceGrad
sparseSliceGrad(Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>) - Method in class org.tensorflow.op.SparseOps: The gradient operator for the SparseSlice op.
SparseSliceGrad.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
SparseSoftmax<T extends TNumber> - Class in org.tensorflow.op.sparse: Applies softmax to a batched N-D SparseTensor.
SparseSoftmax(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSoftmax
sparseSoftmax(Operand<TInt64>, Operand<T>, Operand<TInt64>) - Method in class org.tensorflow.op.SparseOps: Applies softmax to a batched N-D SparseTensor.
SparseSoftmax.Inputs<T extends TNumber> - Class in org.tensorflow.op.sparse
SparseSoftmaxCrossEntropyWithLogits<T extends TNumber> - Class in org.tensorflow.op.nn: Computes softmax cross entropy cost and gradients to backpropagate.
SparseSoftmaxCrossEntropyWithLogits(Operation) - Constructor for class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits
sparseSoftmaxCrossEntropyWithLogits(Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.NnOps: Computes softmax cross entropy cost and gradients to backpropagate.
SparseSoftmaxCrossEntropyWithLogits.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
SparseSparseMaximum<T extends TNumber> - Class in org.tensorflow.op.sparse: Returns the element-wise max of two SparseTensors.
SparseSparseMaximum(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSparseMaximum
sparseSparseMaximum(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<T>, Operand<TInt64>) - Method in class org.tensorflow.op.SparseOps: Returns the element-wise max of two SparseTensors.
SparseSparseMaximum.Inputs<T extends TNumber> - Class in org.tensorflow.op.sparse
SparseSparseMinimum<T extends TType> - Class in org.tensorflow.op.sparse: Returns the element-wise min of two SparseTensors.
SparseSparseMinimum(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSparseMinimum
sparseSparseMinimum(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<T>, Operand<TInt64>) - Method in class org.tensorflow.op.SparseOps: Returns the element-wise min of two SparseTensors.
SparseSparseMinimum.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
SparseSplit<T extends TType> - Class in org.tensorflow.op.sparse: Split a SparseTensor into num_split tensors along one dimension.
SparseSplit(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSplit
sparseSplit(Operand<TInt64>, Operand<TInt64>, Operand<T>, Operand<TInt64>, Long) - Method in class org.tensorflow.op.SparseOps: Split a SparseTensor into num_split tensors along one dimension.
SparseSplit.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
SparseTensorDenseAdd - Class in org.tensorflow.op.sparse: Adds up a SparseTensor and a dense Tensor, producing a dense Tensor.
SparseTensorDenseAdd(Operation) - Constructor for class org.tensorflow.op.sparse.SparseTensorDenseAdd
sparseTensorDenseAdd(Operand<T>, Operand, Operand<T>, Operand) - Method in class org.tensorflow.op.SparseOps: Adds up a SparseTensor and a dense Tensor, producing a dense Tensor.
SparseTensorDenseAdd.Inputs<T extends TNumber,U extends TType> - Class in org.tensorflow.op.sparse
SparseTensorDenseMatMul - Class in org.tensorflow.op.sparse: Multiply SparseTensor (of rank 2) "A" by dense matrix "B".
SparseTensorDenseMatMul(Operation) - Constructor for class org.tensorflow.op.sparse.SparseTensorDenseMatMul
sparseTensorDenseMatMul(Operand<? extends TNumber>, Operand, Operand<TInt64>, Operand, SparseTensorDenseMatMul.Options...) - Method in class org.tensorflow.op.SparseOps: Multiply SparseTensor (of rank 2) "A" by dense matrix "B".
SparseTensorDenseMatMul.Inputs - Class in org.tensorflow.op.sparse
SparseTensorDenseMatMul.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseTensorDenseMatMul
SparseTensorSliceDataset - Class in org.tensorflow.op.data: Creates a dataset that splits a SparseTensor into elements row-wise.
SparseTensorSliceDataset(Operation) - Constructor for class org.tensorflow.op.data.SparseTensorSliceDataset
sparseTensorSliceDataset(Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>) - Method in class org.tensorflow.op.DataOps: Creates a dataset that splits a SparseTensor into elements row-wise.
SparseTensorSliceDataset.Inputs - Class in org.tensorflow.op.data
SparseTensorToCSRSparseMatrix - Class in org.tensorflow.op.linalg.sparse: Converts a SparseTensor to a (possibly batched) CSRSparseMatrix.
SparseTensorToCSRSparseMatrix(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix
SparseTensorToCSRSparseMatrix.Inputs - Class in org.tensorflow.op.linalg.sparse
SparseToDense - Class in org.tensorflow.op.sparse: Converts a sparse representation into a dense tensor.
SparseToDense(Operation) - Constructor for class org.tensorflow.op.sparse.SparseToDense
sparseToDense(Operand<T>, Operand<T>, Operand, Operand, SparseToDense.Options...) - Method in class org.tensorflow.op.SparseOps: Converts a sparse representation into a dense tensor.
SparseToDense.Inputs<T extends TNumber,U extends TType> - Class in org.tensorflow.op.sparse
SparseToDense.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseToDense
SparseToSparseSetOperation<T extends TType> - Class in org.tensorflow.op.sparse: Applies set operation along last dimension of 2 SparseTensor inputs.
SparseToSparseSetOperation(Operation) - Constructor for class org.tensorflow.op.sparse.SparseToSparseSetOperation
sparseToSparseSetOperation(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<T>, Operand<TInt64>, String, SparseToSparseSetOperation.Options...) - Method in class org.tensorflow.op.SparseOps: Applies set operation along last dimension of 2 SparseTensor inputs.
SparseToSparseSetOperation.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
SparseToSparseSetOperation.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseToSparseSetOperation
sparseTypes - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: A list of `DTypes` of the same length as `sparse_keys`.
sparseTypes - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: A list of `DTypes` of the same length as `sparse_keys`.
sparseTypes - Variable in class org.tensorflow.op.io.ParseExample.Inputs: A list of `num_sparse` types; the data types of data in each Feature given in sparse_keys.
sparseTypes - Variable in class org.tensorflow.op.io.ParseSingleExample.Inputs: A list of `num_sparse` types; the data types of data in each Feature given in sparse_keys.
sparseTypes - Variable in class org.tensorflow.op.sparse.SparseCross.Inputs: The sparseTypes attribute
sparseTypes - Variable in class org.tensorflow.op.sparse.SparseCrossHashed.Inputs: The sparseTypes attribute
sparseValues() - Method in class org.tensorflow.op.io.DeserializeManySparse: Gets sparseValues.
sparseValues() - Method in class org.tensorflow.op.io.ParseExample: Gets sparseValues.
sparseValues() - Method in class org.tensorflow.op.io.ParseSingleExample: Gets sparseValues.
sparseValues - Variable in class org.tensorflow.op.io.SerializeManySparse.Inputs: 1-D.
sparseValues - Variable in class org.tensorflow.op.io.SerializeSparse.Inputs: 1-D.
sparseValues - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The values tensor for each SparseTensor input.
sparseValues() - Method in class org.tensorflow.op.ragged.RaggedTensorToSparse: Gets sparseValues.
sparseValues - Variable in class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Inputs: 1-D.
sparseValues - Variable in class org.tensorflow.op.sparse.AddSparseToTensorsMap.Inputs: 1-D.
sparseValues() - Method in class org.tensorflow.op.sparse.DeserializeSparse: Gets sparseValues.
sparseValues - Variable in class org.tensorflow.op.sparse.SparseToDense.Inputs: 1-D.
sparseValues() - Method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap: Gets sparseValues.
sparseValuesTypes - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The sparseValuesTypes attribute
sparseWeights - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a list of vectors where each value is the weight associated with a sparse feature group.
spectrogram() - Method in class org.tensorflow.op.audio.AudioSpectrogram: Gets spectrogram.
spectrogram - Variable in class org.tensorflow.op.audio.Mfcc.Inputs: Typically produced by the Spectrogram op, with magnitude_squared set to true.
Spence<T extends TNumber> - Class in org.tensorflow.op.math.special: The Spence operation
Spence(Operation) - Constructor for class org.tensorflow.op.math.special.Spence
Spence.Inputs<T extends TNumber> - Class in org.tensorflow.op.math.special
spIndices - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseAdd.Inputs: 2-D.
spIndices - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseDiv.Inputs: 2-D.
spIndices - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseMul.Inputs: 2-D.
spIndices - Variable in class org.tensorflow.op.sparse.SparseSoftmax.Inputs: 2-D.
Split<T extends TType> - Class in org.tensorflow.op.core: Splits a tensor into num_split tensors along one dimension.
Split(Operation) - Constructor for class org.tensorflow.op.core.Split
split(Operand<TInt32>, Operand<T>, Long) - Method in class org.tensorflow.op.Ops: Splits a tensor into num_split tensors along one dimension.
Split.Inputs<T extends TType> - Class in org.tensorflow.op.core
splitCount - Variable in class org.tensorflow.op.tpu.AllToAll.Inputs: The number of splits, this number must equal to the sub-group size(group_assignment.get_shape()[1])
splitDim - Variable in class org.tensorflow.op.sparse.SparseSplit.Inputs: 0-D.
splitDimension - Variable in class org.tensorflow.op.tpu.AllToAll.Inputs: The dimension number to split.
SplitND<T extends TType> - Class in org.tensorflow.op.xla: Splits input tensor across all dimensions.
SplitND(Operation) - Constructor for class org.tensorflow.op.xla.SplitND
SplitND.Inputs<T extends TType> - Class in org.tensorflow.op.xla
SplitND.Options - Class in org.tensorflow.op.xla: Optional attributes for SplitND
splits - Variable in class org.tensorflow.op.ragged.RaggedBincount.Inputs: 1D int64 Tensor.
splits - Variable in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Inputs: Tensor containing the row splits of the ragged tensor to count.
splitType - Variable in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplit.Inputs: A string indicating if this Op should perform inequality split or equality split.
splitType(String) - Method in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplit.Options: Sets the splitType option.
splitType(String) - Static method in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplit: Sets the splitType option.
splitType - Variable in class org.tensorflow.op.estimator.BoostedTreesSparseCalculateBestFeatureSplit.Inputs: A string indicating if this Op should perform inequality split or equality split.
splitType(String) - Method in class org.tensorflow.op.estimator.BoostedTreesSparseCalculateBestFeatureSplit.Options: Sets the splitType option.
splitType(String) - Static method in class org.tensorflow.op.estimator.BoostedTreesSparseCalculateBestFeatureSplit: Sets the splitType option.
splitTypes - Variable in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplitV2.Inputs: A Rank 1 tensor indicating if this Op should perform inequality split or equality split per feature.
splitTypes - Variable in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsembleV2.Inputs: List of rank 1 tensors representing the split type for each feature.
SplitV<T extends TType> - Class in org.tensorflow.op.core: Splits a tensor into num_split tensors along one dimension.
SplitV(Operation) - Constructor for class org.tensorflow.op.core.SplitV
splitV(Operand<T>, Operand<? extends TNumber>, Operand<TInt32>, Long) - Method in class org.tensorflow.op.Ops: Splits a tensor into num_split tensors along one dimension.
SplitV.Inputs<T extends TType> - Class in org.tensorflow.op.core
splitWithDefaultDirections() - Method in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplit: Gets splitWithDefaultDirections.
splitWithDefaultDirections() - Method in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplitV2: Gets splitWithDefaultDirections.
splitWithDefaultDirections() - Method in class org.tensorflow.op.estimator.BoostedTreesSparseCalculateBestFeatureSplit: Gets splitWithDefaultDirections.
SpmdFullToShardShape<T extends TType> - Class in org.tensorflow.op.xla: An op used by XLA SPMD partitioner to switch from automatic partitioning to manual partitioning.
SpmdFullToShardShape(Operation) - Constructor for class org.tensorflow.op.xla.SpmdFullToShardShape
spmdFullToShardShape(Operand<T>, String, SpmdFullToShardShape.Options...) - Method in class org.tensorflow.op.XlaOps: An op used by XLA SPMD partitioner to switch from automatic partitioning to manual partitioning.
SpmdFullToShardShape.Inputs<T extends TType> - Class in org.tensorflow.op.xla
SpmdFullToShardShape.Options - Class in org.tensorflow.op.xla: Optional attributes for SpmdFullToShardShape
SpmdShardToFullShape<T extends TType> - Class in org.tensorflow.op.xla: An op used by XLA SPMD partitioner to switch from manual partitioning to automatic partitioning.
SpmdShardToFullShape(Operation) - Constructor for class org.tensorflow.op.xla.SpmdShardToFullShape
spmdShardToFullShape(Operand<T>, String, Shape, SpmdShardToFullShape.Options...) - Method in class org.tensorflow.op.XlaOps: An op used by XLA SPMD partitioner to switch from manual partitioning to automatic partitioning.
SpmdShardToFullShape.Inputs<T extends TType> - Class in org.tensorflow.op.xla
SpmdShardToFullShape.Options - Class in org.tensorflow.op.xla: Optional attributes for SpmdShardToFullShape
spShape - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseAdd.Inputs: 1-D.
spShape - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseDiv.Inputs: 1-D.
spShape - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseMul.Inputs: 1-D.
spShape - Variable in class org.tensorflow.op.sparse.SparseSoftmax.Inputs: 1-D.
spValues - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseAdd.Inputs: 1-D.
spValues - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseDiv.Inputs: 1-D.
spValues - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseMul.Inputs: 1-D.
spValues - Variable in class org.tensorflow.op.sparse.SparseSoftmax.Inputs: 1-D.
SqlDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that executes a SQL query and emits rows of the result set.
SqlDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.SqlDataset
SqlDataset - Class in org.tensorflow.op.data: Creates a dataset that executes a SQL query and emits rows of the result set.
SqlDataset(Operation) - Constructor for class org.tensorflow.op.data.SqlDataset
sqlDataset(Operand<TString>, Operand<TString>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Creates a dataset that executes a SQL query and emits rows of the result set.
SqlDataset.Inputs - Class in org.tensorflow.op.data.experimental
SqlDataset.Inputs - Class in org.tensorflow.op.data
Sqrt<T extends TType> - Class in org.tensorflow.op.math: Computes square root of x element-wise.
Sqrt(Operation) - Constructor for class org.tensorflow.op.math.Sqrt
sqrt(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes square root of x element-wise.
Sqrt.Inputs<T extends TType> - Class in org.tensorflow.op.math
SqrtGrad<T extends TType> - Class in org.tensorflow.op.math: Computes the gradient for the sqrt of x wrt its input.
SqrtGrad(Operation) - Constructor for class org.tensorflow.op.math.SqrtGrad
SqrtGrad.Inputs<T extends TType> - Class in org.tensorflow.op.math
Sqrtm<T extends TType> - Class in org.tensorflow.op.linalg: Computes the matrix square root of one or more square matrices: matmul(sqrtm(A), sqrtm(A)) = A
Sqrtm(Operation) - Constructor for class org.tensorflow.op.linalg.Sqrtm
sqrtm(Operand<T>) - Method in class org.tensorflow.op.LinalgOps: Computes the matrix square root of one or more square matrices: matmul(sqrtm(A), sqrtm(A)) = A
Sqrtm.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
Square<T extends TType> - Class in org.tensorflow.op.math: Computes square of x element-wise.
Square(Operation) - Constructor for class org.tensorflow.op.math.Square
square(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes square of x element-wise.
Square.Inputs<T extends TType> - Class in org.tensorflow.op.math
SquaredDifference<T extends TType> - Class in org.tensorflow.op.math: Returns conj(x - y)(x - y) element-wise.
SquaredDifference(Operation) - Constructor for class org.tensorflow.op.math.SquaredDifference
squaredDifference(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns conj(x - y)(x - y) element-wise.
SquaredDifference.Inputs<T extends TType> - Class in org.tensorflow.op.math
squeeze(Scope, Shape<TInt32>) - Static method in class org.tensorflow.op.core.Shapes: Removes dimensions of size 1 from the shape.
squeeze(Scope, Shape, Class) - Static method in class org.tensorflow.op.core.Shapes: Removes dimensions of size 1 from the shape.
Squeeze<T extends TType> - Class in org.tensorflow.op.core: Removes dimensions of size 1 from the shape of a tensor.
Squeeze(Operation) - Constructor for class org.tensorflow.op.core.Squeeze
squeeze(Operand<T>, Squeeze.Options...) - Method in class org.tensorflow.op.Ops: Removes dimensions of size 1 from the shape of a tensor.
squeeze(Shape<TInt32>) - Method in class org.tensorflow.op.ShapeOps: Removes dimensions of size 1 from the shape.
squeeze(Shape, Class) - Method in class org.tensorflow.op.ShapeOps: Removes dimensions of size 1 from the shape.
Squeeze.Inputs<T extends TType> - Class in org.tensorflow.op.core
Squeeze.Options - Class in org.tensorflow.op.core: Optional attributes for Squeeze
squeezeDims - Variable in class org.tensorflow.op.risc.RiscSqueeze.Inputs: The squeezeDims attribute
squeezeDims(List<Long>) - Method in class org.tensorflow.op.risc.RiscSqueeze.Options: Sets the squeezeDims option.
squeezeDims(Long...) - Method in class org.tensorflow.op.risc.RiscSqueeze.Options: Sets the squeezeDims option.
squeezeDims(List<Long>) - Static method in class org.tensorflow.op.risc.RiscSqueeze: Sets the squeezeDims option.
squeezeDims(Long...) - Static method in class org.tensorflow.op.risc.RiscSqueeze: Sets the squeezeDims option.
srcFormat - Variable in class org.tensorflow.op.nn.DataFormatDimMap.Inputs: source data format.
srcFormat(String) - Method in class org.tensorflow.op.nn.DataFormatDimMap.Options: Sets the srcFormat option.
srcFormat(String) - Static method in class org.tensorflow.op.nn.DataFormatDimMap: Sets the srcFormat option.
srcFormat - Variable in class org.tensorflow.op.nn.DataFormatVecPermute.Inputs: source data format.
srcFormat(String) - Method in class org.tensorflow.op.nn.DataFormatVecPermute.Options: Sets the srcFormat option.
srcFormat(String) - Static method in class org.tensorflow.op.nn.DataFormatVecPermute: Sets the srcFormat option.
SrcT - Variable in class org.tensorflow.op.dtypes.Cast.Inputs: The SrcT attribute
SrcT - Variable in class org.tensorflow.op.risc.RiscBitcast.Inputs: The SrcT attribute
SrcT - Variable in class org.tensorflow.op.risc.RiscCast.Inputs: The SrcT attribute
SrcT - Variable in class org.tensorflow.op.risc.RiscCondition.Inputs: The SrcT attribute
Stack<T extends TType> - Class in org.tensorflow.op.core: Packs a list of N rank-R tensors into one rank-(R+1) tensor.
Stack(Operation) - Constructor for class org.tensorflow.op.core.Stack
stack(Iterable<Operand<T>>, Stack.Options...) - Method in class org.tensorflow.op.Ops: Packs a list of N rank-R tensors into one rank-(R+1) tensor.
Stack.Inputs<T extends TType> - Class in org.tensorflow.op.core
Stack.Options - Class in org.tensorflow.op.core: Optional attributes for Stack
STACK_FRAME_IDS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.CodeLocation
STACK_FRAME_WITH_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.DebugEvent
StackFrameWithId - Class in org.tensorflow.proto.util: A stack frame with ID.
StackFrameWithId.Builder - Class in org.tensorflow.proto.util: A stack frame with ID.
StackFrameWithIdOrBuilder - Interface in org.tensorflow.proto.util
Stage - Class in org.tensorflow.op.core: Stage values similar to a lightweight Enqueue.
Stage(Operation) - Constructor for class org.tensorflow.op.core.Stage
stage(Iterable<Operand<?>>, Stage.Options...) - Method in class org.tensorflow.op.Ops: Stage values similar to a lightweight Enqueue.
Stage.Inputs - Class in org.tensorflow.op.core
Stage.Options - Class in org.tensorflow.op.core: Optional attributes for Stage
StageClear - Class in org.tensorflow.op.core: Op removes all elements in the underlying container.
StageClear(Operation) - Constructor for class org.tensorflow.op.core.StageClear
stageClear(List<Class<? extends TType>>, StageClear.Options...) - Method in class org.tensorflow.op.Ops: Op removes all elements in the underlying container.
StageClear.Inputs - Class in org.tensorflow.op.core
StageClear.Options - Class in org.tensorflow.op.core: Optional attributes for StageClear
StagePeek - Class in org.tensorflow.op.core: Op peeks at the values at the specified index.
StagePeek(Operation) - Constructor for class org.tensorflow.op.core.StagePeek
stagePeek(Operand<TInt32>, List<Class<? extends TType>>, StagePeek.Options...) - Method in class org.tensorflow.op.Ops: Op peeks at the values at the specified index.
StagePeek.Inputs - Class in org.tensorflow.op.core
StagePeek.Options - Class in org.tensorflow.op.core: Optional attributes for StagePeek
StageSize - Class in org.tensorflow.op.core: Op returns the number of elements in the underlying container.
StageSize(Operation) - Constructor for class org.tensorflow.op.core.StageSize
stageSize(List<Class<? extends TType>>, StageSize.Options...) - Method in class org.tensorflow.op.Ops: Op returns the number of elements in the underlying container.
StageSize.Inputs - Class in org.tensorflow.op.core
StageSize.Options - Class in org.tensorflow.op.core: Optional attributes for StageSize
stampToken - Variable in class org.tensorflow.op.estimator.BoostedTreesCreateEnsemble.Inputs: Token to use as the initial value of the resource stamp.
stampToken - Variable in class org.tensorflow.op.estimator.BoostedTreesDeserializeEnsemble.Inputs: Token to use as the new value of the resource stamp.
stampToken() - Method in class org.tensorflow.op.estimator.BoostedTreesGetEnsembleStates: Gets stampToken.
stampToken() - Method in class org.tensorflow.op.estimator.BoostedTreesSerializeEnsemble: Gets stampToken.
start - Variable in class org.tensorflow.op.core.For.Inputs: The lower bound.
start - Variable in class org.tensorflow.op.core.LinSpace.Inputs: 0-D tensor.
start - Variable in class org.tensorflow.op.core.Range.Inputs: 0-D (scalar).
start - Variable in class org.tensorflow.op.data.RangeDataset.Inputs: corresponds to start in python's xrange().
start - Variable in class org.tensorflow.op.sparse.SparseSlice.Inputs: 1-D.
start() - Method in class org.tensorflow.Server: Starts an in-process TensorFlow server.
START_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorSliceProto.Extent
START_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.TestResults
START_TIMESTAMP_NS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.ProfileOptions
START_VALUE - Static variable in enum org.tensorflow.proto.util.SessionLog.SessionStatus: START = 1;
startIndex - Variable in class org.tensorflow.op.data.SnapshotDatasetReader.Inputs: The startIndex input
startIndices - Variable in class org.tensorflow.op.xla.DynamicSlice.Inputs: List of N integers containing the slice size for each dimension.
startIndices - Variable in class org.tensorflow.op.xla.Gather.Inputs: Array containing the starting indices of the slices we gather.
starts - Variable in class org.tensorflow.op.ragged.RaggedRange.Inputs: The starts of each range.
STAT_METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XPlane
state - Variable in class org.tensorflow.op.io.ReaderRestoreState.Inputs: Result of a ReaderSerializeState of a Reader with type matching reader_handle.
state() - Method in class org.tensorflow.op.io.ReaderSerializeState: Gets state.
STATE_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
StatefulCase - Class in org.tensorflow.op.core: An n-way switch statement which calls a single branch function.
StatefulCase(Operation) - Constructor for class org.tensorflow.op.core.StatefulCase
statefulCase(Operand<TInt32>, Iterable<Operand<?>>, List<Class<? extends TType>>, List<ConcreteFunction>, Case.Options...) - Method in class org.tensorflow.op.Ops: An n-way switch statement which calls a single branch function.
StatefulCase.Inputs - Class in org.tensorflow.op.core
StatefulIf - Class in org.tensorflow.op.core: output = cond ? then_branch(input) : else_branch(input)
StatefulIf(Operation) - Constructor for class org.tensorflow.op.core.StatefulIf
statefulIf(Operand<? extends TType>, Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction, ConcreteFunction, If.Options...) - Method in class org.tensorflow.op.Ops: output = cond ? then_branch(input) : else_branch(input)
StatefulIf.Inputs - Class in org.tensorflow.op.core
StatefulPartitionedCall - Class in org.tensorflow.op.core: returns f(inputs), where f's body is placed and partitioned.
StatefulPartitionedCall(Operation) - Constructor for class org.tensorflow.op.core.StatefulPartitionedCall
statefulPartitionedCall(Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction, PartitionedCall.Options...) - Method in class org.tensorflow.op.Ops: returns f(inputs), where f's body is placed and partitioned.
StatefulPartitionedCall.Inputs - Class in org.tensorflow.op.core
StatefulRandomBinomial<V extends TNumber> - Class in org.tensorflow.op.random: The StatefulRandomBinomial operation
StatefulRandomBinomial(Operation) - Constructor for class org.tensorflow.op.random.StatefulRandomBinomial
statefulRandomBinomial(Operand<? extends TType>, Operand<TInt64>, Operand<? extends TNumber>, Operand, Operand) - Method in class org.tensorflow.op.RandomOps: The StatefulRandomBinomial operation
statefulRandomBinomial(Operand<? extends TType>, Operand<TInt64>, Operand<? extends TNumber>, Operand, Operand, Class<V>) - Method in class org.tensorflow.op.RandomOps: The StatefulRandomBinomial operation
StatefulRandomBinomial.Inputs - Class in org.tensorflow.op.random
StatefulStandardNormal - Class in org.tensorflow.op.random: Outputs random values from a normal distribution.
StatefulStandardNormal(Operation) - Constructor for class org.tensorflow.op.random.StatefulStandardNormal
statefulStandardNormal(Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>) - Method in class org.tensorflow.op.RandomOps: Outputs random values from a normal distribution.
statefulStandardNormal(Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>, Class) - Method in class org.tensorflow.op.RandomOps: Outputs random values from a normal distribution.
StatefulStandardNormal.Inputs - Class in org.tensorflow.op.random
StatefulTruncatedNormal - Class in org.tensorflow.op.random: Outputs random values from a truncated normal distribution.
StatefulTruncatedNormal(Operation) - Constructor for class org.tensorflow.op.random.StatefulTruncatedNormal
StatefulTruncatedNormal.Inputs - Class in org.tensorflow.op.random
StatefulUniform - Class in org.tensorflow.op.random: Outputs random values from a uniform distribution.
StatefulUniform(Operation) - Constructor for class org.tensorflow.op.random.StatefulUniform
StatefulUniform.Inputs - Class in org.tensorflow.op.random
StatefulUniformFullInt - Class in org.tensorflow.op.random: Outputs random integers from a uniform distribution.
StatefulUniformFullInt(Operation) - Constructor for class org.tensorflow.op.random.StatefulUniformFullInt
StatefulUniformFullInt.Inputs - Class in org.tensorflow.op.random
StatefulUniformInt - Class in org.tensorflow.op.random: Outputs random integers from a uniform distribution.
StatefulUniformInt(Operation) - Constructor for class org.tensorflow.op.random.StatefulUniformInt
StatefulUniformInt.Inputs - Class in org.tensorflow.op.random
StatefulWhile - Class in org.tensorflow.op.core: output = input; While (Cond(output)) { output = Body(output) }
StatefulWhile(Operation) - Constructor for class org.tensorflow.op.core.StatefulWhile
statefulWhile(Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, While.Options...) - Method in class org.tensorflow.op.Ops: output = input; While (Cond(output)) { output = Body(output) }
StatefulWhile.Inputs - Class in org.tensorflow.op.core
StatelessCase - Class in org.tensorflow.op.core: An n-way switch statement which calls a single branch function.
StatelessCase(Operation) - Constructor for class org.tensorflow.op.core.StatelessCase
StatelessCase.Inputs - Class in org.tensorflow.op.core
StatelessIf - Class in org.tensorflow.op.core: output = cond ? then_branch(input) : else_branch(input)
StatelessIf(Operation) - Constructor for class org.tensorflow.op.core.StatelessIf
statelessIf(Operand<? extends TType>, Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction, ConcreteFunction, If.Options...) - Method in class org.tensorflow.op.Ops: output = cond ? then_branch(input) : else_branch(input)
StatelessIf.Inputs - Class in org.tensorflow.op.core
StatelessMultinomial<V extends TNumber> - Class in org.tensorflow.op.random: Draws samples from a multinomial distribution.
StatelessMultinomial(Operation) - Constructor for class org.tensorflow.op.random.StatelessMultinomial
statelessMultinomial(Operand<? extends TNumber>, Operand<TInt32>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.RandomOps: Draws samples from a multinomial distribution.
statelessMultinomial(Operand<? extends TNumber>, Operand<TInt32>, Operand<? extends TNumber>, Class<V>) - Method in class org.tensorflow.op.RandomOps: Draws samples from a multinomial distribution.
StatelessMultinomial.Inputs - Class in org.tensorflow.op.random
StatelessParameterizedTruncatedNormal<V extends TNumber> - Class in org.tensorflow.op.random: The StatelessParameterizedTruncatedNormal operation
StatelessParameterizedTruncatedNormal(Operation) - Constructor for class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal
StatelessParameterizedTruncatedNormal.Inputs<V extends TNumber> - Class in org.tensorflow.op.random
StatelessPartitionedCall - Class in org.tensorflow.op.core: returns f(inputs), where f's body is placed and partitioned.
StatelessPartitionedCall(Operation) - Constructor for class org.tensorflow.op.core.StatelessPartitionedCall
statelessPartitionedCall(Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction, PartitionedCall.Options...) - Method in class org.tensorflow.op.Ops: returns f(inputs), where f's body is placed and partitioned.
StatelessPartitionedCall.Inputs - Class in org.tensorflow.op.core
StatelessRandomBinomial<W extends TNumber> - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom random numbers from a binomial distribution.
StatelessRandomBinomial(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomBinomial
StatelessRandomBinomial.Inputs<V extends TNumber> - Class in org.tensorflow.op.random
StatelessRandomGamma<V extends TNumber> - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom random numbers from a gamma distribution.
StatelessRandomGamma(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomGamma
StatelessRandomGamma.Inputs<V extends TNumber> - Class in org.tensorflow.op.random
StatelessRandomGetAlg - Class in org.tensorflow.op.random: Picks the best counter-based RNG algorithm based on device.
StatelessRandomGetAlg(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomGetAlg
StatelessRandomGetAlg.Inputs - Class in org.tensorflow.op.random
StatelessRandomGetKeyCounter - Class in org.tensorflow.op.random: Scrambles seed into key and counter, using the best algorithm based on device.
StatelessRandomGetKeyCounter(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomGetKeyCounter
StatelessRandomGetKeyCounter.Inputs - Class in org.tensorflow.op.random
StatelessRandomGetKeyCounterAlg - Class in org.tensorflow.op.random: Picks the best algorithm based on device, and scrambles seed into key and counter.
StatelessRandomGetKeyCounterAlg(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomGetKeyCounterAlg
StatelessRandomGetKeyCounterAlg.Inputs - Class in org.tensorflow.op.random
StatelessRandomNormal<V extends TNumber> - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom values from a normal distribution.
StatelessRandomNormal(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomNormal
statelessRandomNormal(Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom values from a normal distribution.
statelessRandomNormal(Operand<? extends TNumber>, Operand<? extends TNumber>, Class<V>) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom values from a normal distribution.
StatelessRandomNormal.Inputs - Class in org.tensorflow.op.random
StatelessRandomNormalV2 - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom values from a normal distribution.
StatelessRandomNormalV2(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomNormalV2
StatelessRandomNormalV2.Inputs - Class in org.tensorflow.op.random
StatelessRandomPoisson<W extends TNumber> - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom random numbers from a Poisson distribution.
StatelessRandomPoisson(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomPoisson
StatelessRandomPoisson.Inputs - Class in org.tensorflow.op.random
StatelessRandomUniform<V extends TNumber> - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom random values from a uniform distribution.
StatelessRandomUniform(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniform
statelessRandomUniform(Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom random values from a uniform distribution.
statelessRandomUniform(Operand<? extends TNumber>, Operand<? extends TNumber>, Class<V>) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom random values from a uniform distribution.
StatelessRandomUniform.Inputs - Class in org.tensorflow.op.random
StatelessRandomUniformFullInt<V extends TNumber> - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom random integers from a uniform distribution.
StatelessRandomUniformFullInt(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformFullInt
StatelessRandomUniformFullInt.Inputs - Class in org.tensorflow.op.random
StatelessRandomUniformFullIntV2 - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom random integers from a uniform distribution.
StatelessRandomUniformFullIntV2(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformFullIntV2
StatelessRandomUniformFullIntV2.Inputs - Class in org.tensorflow.op.random
StatelessRandomUniformInt<V extends TNumber> - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom random integers from a uniform distribution.
StatelessRandomUniformInt(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformInt
StatelessRandomUniformInt.Inputs<V extends TNumber> - Class in org.tensorflow.op.random
StatelessRandomUniformIntV2 - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom random integers from a uniform distribution.
StatelessRandomUniformIntV2(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformIntV2
StatelessRandomUniformIntV2.Inputs - Class in org.tensorflow.op.random
StatelessRandomUniformV2 - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom random values from a uniform distribution.
StatelessRandomUniformV2(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformV2
StatelessRandomUniformV2.Inputs - Class in org.tensorflow.op.random
StatelessSampleDistortedBoundingBox<T extends TNumber> - Class in org.tensorflow.op.image: Generate a randomly distorted bounding box for an image deterministically.
StatelessSampleDistortedBoundingBox(Operation) - Constructor for class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox
statelessSampleDistortedBoundingBox(Operand<T>, Operand<TFloat32>, Operand<TFloat32>, Operand<? extends TNumber>, StatelessSampleDistortedBoundingBox.Options...) - Method in class org.tensorflow.op.ImageOps: Generate a randomly distorted bounding box for an image deterministically.
StatelessSampleDistortedBoundingBox.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
StatelessSampleDistortedBoundingBox.Options - Class in org.tensorflow.op.image: Optional attributes for StatelessSampleDistortedBoundingBox
StatelessTruncatedNormal<V extends TNumber> - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom values from a truncated normal distribution.
StatelessTruncatedNormal(Operation) - Constructor for class org.tensorflow.op.random.StatelessTruncatedNormal
statelessTruncatedNormal(Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom values from a truncated normal distribution.
statelessTruncatedNormal(Operand<? extends TNumber>, Operand<? extends TNumber>, Class<V>) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom values from a truncated normal distribution.
StatelessTruncatedNormal.Inputs - Class in org.tensorflow.op.random
StatelessTruncatedNormalV2 - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom values from a truncated normal distribution.
StatelessTruncatedNormalV2(Operation) - Constructor for class org.tensorflow.op.random.StatelessTruncatedNormalV2
StatelessTruncatedNormalV2.Inputs - Class in org.tensorflow.op.random
StatelessWhile - Class in org.tensorflow.op.core: output = input; While (Cond(output)) { output = Body(output) }
StatelessWhile(Operation) - Constructor for class org.tensorflow.op.core.StatelessWhile
statelessWhile(Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, While.Options...) - Method in class org.tensorflow.op.Ops: output = input; While (Cond(output)) { output = Body(output) }
StatelessWhile.Inputs - Class in org.tensorflow.op.core
StaticRegexFullMatch - Class in org.tensorflow.op.strings: Check if the input matches the regex pattern.
StaticRegexFullMatch(Operation) - Constructor for class org.tensorflow.op.strings.StaticRegexFullMatch
StaticRegexFullMatch.Inputs - Class in org.tensorflow.op.strings
StaticRegexReplace - Class in org.tensorflow.op.strings: Replaces the match of pattern in input with rewrite.
StaticRegexReplace(Operation) - Constructor for class org.tensorflow.op.strings.StaticRegexReplace
StaticRegexReplace.Inputs - Class in org.tensorflow.op.strings
StaticRegexReplace.Options - Class in org.tensorflow.op.strings: Optional attributes for StaticRegexReplace
STATS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XEvent
STATS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XEventMetadata
STATS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XPlane
STATS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.MemoryDump
statsAggregator - Variable in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset.Inputs: The statsAggregator input
statsAggregator - Variable in class org.tensorflow.op.data.SetStatsAggregatorDataset.Inputs: The statsAggregator input
statsAggregator - Variable in class org.tensorflow.op.data.StatsAggregatorSetSummaryWriter.Inputs: The statsAggregator input
StatsAggregatorHandle - Class in org.tensorflow.op.data.experimental: Creates a statistics manager resource.
StatsAggregatorHandle(Operation) - Constructor for class org.tensorflow.op.data.experimental.StatsAggregatorHandle
StatsAggregatorHandle - Class in org.tensorflow.op.data: The StatsAggregatorHandleV2 operation
StatsAggregatorHandle(Operation) - Constructor for class org.tensorflow.op.data.StatsAggregatorHandle
StatsAggregatorHandle.Inputs - Class in org.tensorflow.op.data.experimental
StatsAggregatorHandle.Inputs - Class in org.tensorflow.op.data
StatsAggregatorHandle.Options - Class in org.tensorflow.op.data.experimental: Optional attributes for StatsAggregatorHandle
StatsAggregatorHandle.Options - Class in org.tensorflow.op.data: Optional attributes for StatsAggregatorHandle
StatsAggregatorSetSummaryWriter - Class in org.tensorflow.op.data: Set a summary_writer_interface to record statistics using given stats_aggregator.
StatsAggregatorSetSummaryWriter(Operation) - Constructor for class org.tensorflow.op.data.StatsAggregatorSetSummaryWriter
StatsAggregatorSetSummaryWriter.Inputs - Class in org.tensorflow.op.data
StatsAggregatorSummary - Class in org.tensorflow.op.data.experimental: Produces a summary of any statistics recorded by the given statistics manager.
StatsAggregatorSummary(Operation) - Constructor for class org.tensorflow.op.data.experimental.StatsAggregatorSummary
StatsAggregatorSummary - Class in org.tensorflow.op.summary: Produces a summary of any statistics recorded by the given statistics manager.
StatsAggregatorSummary(Operation) - Constructor for class org.tensorflow.op.summary.StatsAggregatorSummary
StatsAggregatorSummary.Inputs - Class in org.tensorflow.op.data.experimental
StatsAggregatorSummary.Inputs - Class in org.tensorflow.op.summary
statsSummariesList - Variable in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplitV2.Inputs: A list of Rank 4 tensor (#shape=[max_splits, feature_dims, bucket, stats_dims]) for accumulated stats summary (gradient/hessian) per node, per dimension, per buckets for each feature.
statsSummary() - Method in class org.tensorflow.op.estimator.BoostedTreesAggregateStats: Gets statsSummary.
statsSummary - Variable in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplit.Inputs: A Rank 4 tensor (#shape=[max_splits, feature_dims, bucket, stats_dims]) for accumulated stats summary (gradient/hessian) per node, per dimension, per buckets for each feature.
statsSummary() - Method in class org.tensorflow.op.estimator.BoostedTreesMakeStatsSummary: Gets statsSummary.
statsSummaryIndices() - Method in class org.tensorflow.op.estimator.BoostedTreesSparseAggregateStats: Gets statsSummaryIndices.
statsSummaryIndices - Variable in class org.tensorflow.op.estimator.BoostedTreesSparseCalculateBestFeatureSplit.Inputs: A Rank 2 int64 tensor of dense shape [N, 4] (N specifies the number of non-zero values) for accumulated stats summary (gradient/hessian) per node per bucket for each feature.
statsSummaryList - Variable in class org.tensorflow.op.estimator.BoostedTreesCalculateBestGainsPerFeature.Inputs: A list of Rank 3 tensor (#shape=[max_splits, bucket, 2]) for accumulated stats summary (gradient/hessian) per node per buckets for each feature.
statsSummaryShape() - Method in class org.tensorflow.op.estimator.BoostedTreesSparseAggregateStats: Gets statsSummaryShape.
statsSummaryShape - Variable in class org.tensorflow.op.estimator.BoostedTreesSparseCalculateBestFeatureSplit.Inputs: A Rank 1 float tensor of dense shape [4], which specifies the dense shape of the sparse tensor, which is [num tree nodes, feature dimensions, num buckets, stats dim].
statsSummaryValues() - Method in class org.tensorflow.op.estimator.BoostedTreesSparseAggregateStats: Gets statsSummaryValues.
statsSummaryValues - Variable in class org.tensorflow.op.estimator.BoostedTreesSparseCalculateBestFeatureSplit.Inputs: A Rank 1 float tensor of dense shape [N] (N specifies the number of non-zero values), which supplies the values for each element in summary_indices.
status - Variable in class org.tensorflow.internal.c_api.AbstractTF_Session
Status - Class in org.tensorflow.proto.framework
Status.DerivedStatus - Class in org.tensorflow.proto.framework: If included as a payload, this message flags the Status to be a "derived" Status.
Status.DerivedStatus.Builder - Class in org.tensorflow.proto.framework: If included as a payload, this message flags the Status to be a "derived" Status.
Status.DerivedStatusOrBuilder - Interface in org.tensorflow.proto.framework
STATUS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.SessionLog
STATUS_UNSPECIFIED_VALUE - Static variable in enum org.tensorflow.proto.util.SessionLog.SessionStatus: STATUS_UNSPECIFIED = 0;
StatusFromTF_Status(TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
stddevs - Variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs: The standard deviation parameter of each batch.
stdevs - Variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs: The standard deviation parameter of each batch.
step - Variable in class org.tensorflow.op.data.RangeDataset.Inputs: corresponds to step in python's xrange().
step - Variable in class org.tensorflow.op.summary.WriteAudioSummary.Inputs: The step input
step - Variable in class org.tensorflow.op.summary.WriteGraphSummary.Inputs: The step input
step - Variable in class org.tensorflow.op.summary.WriteHistogramSummary.Inputs: The step input
step - Variable in class org.tensorflow.op.summary.WriteImageSummary.Inputs: The step input
step - Variable in class org.tensorflow.op.summary.WriteRawProtoSummary.Inputs: The step input
step - Variable in class org.tensorflow.op.summary.WriteScalarSummary.Inputs: The step input
step - Variable in class org.tensorflow.op.summary.WriteSummary.Inputs: The step input
STEP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.DebugEvent
STEP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.Event
STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MemoryLogRawAllocation
STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MemoryLogStep
STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MemoryLogTensorOutput
STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.MemChunk
STEP_STATS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RunMetadata
stepMarkerLocation - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: The stepMarkerLocation attribute
stepMarkerLocation(String) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the stepMarkerLocation option.
stepMarkerLocation(String) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the stepMarkerLocation option.
stepMarkerLocation - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

The stepMarkerLocation attribute
stepMarkerLocation(String) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the stepMarkerLocation option.
stepMarkerLocation(String) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the stepMarkerLocation option.
StepStats - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.StepStats
StepStats.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.StepStats
StepStatsOrBuilder - Interface in org.tensorflow.proto.framework
StepStatsProtos - Class in org.tensorflow.proto.framework
stop - Variable in class org.tensorflow.op.core.LinSpace.Inputs: 0-D tensor.
stop - Variable in class org.tensorflow.op.data.RangeDataset.Inputs: corresponds to stop in python's xrange().
stop() - Method in class org.tensorflow.Server: Stops an in-process TensorFlow server.
STOP_VALUE - Static variable in enum org.tensorflow.proto.util.SessionLog.SessionStatus: STOP = 2;
StopGradient<T extends TType> - Class in org.tensorflow.op.core: Stops gradient computation.
StopGradient(Operation) - Constructor for class org.tensorflow.op.core.StopGradient
stopGradient(Operand<T>) - Method in class org.tensorflow.op.Ops: Stops gradient computation.
StopGradient.Inputs<T extends TType> - Class in org.tensorflow.op.core
stopOnEmptyDataset - Variable in class org.tensorflow.op.data.DirectedInterleaveDataset.Inputs: The stopOnEmptyDataset attribute
stopOnEmptyDataset(Boolean) - Method in class org.tensorflow.op.data.DirectedInterleaveDataset.Options: Sets the stopOnEmptyDataset option.
stopOnEmptyDataset(Boolean) - Static method in class org.tensorflow.op.data.DirectedInterleaveDataset: Sets the stopOnEmptyDataset option.
str(int) - Method in class org.tensorflow.internal.c_api.TF_TString_Small
str(int, byte) - Method in class org.tensorflow.internal.c_api.TF_TString_Small
str() - Method in class org.tensorflow.internal.c_api.TF_TString_Small
STR_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XStat
STRENGTH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.InterconnectLink
stride - Variable in class org.tensorflow.op.audio.AudioSpectrogram.Inputs: How widely apart the center of adjacent sample windows should be.
stride - Variable in class org.tensorflow.op.data.WindowDataset.Inputs: An integer scalar, representing the stride of the input elements in the sliding window.
StridedSlice<T extends TType> - Class in org.tensorflow.op.core: Return a strided slice from input.
StridedSlice(Operation) - Constructor for class org.tensorflow.op.core.StridedSlice
stridedSlice(Scope, Operand<T>, Index...) - Static method in class org.tensorflow.op.core.StridedSliceHelper: Return a strided slice from `input`.
stridedSlice(Operand<T>, Index...) - Method in class org.tensorflow.op.Ops: Return a strided slice from `input`.
stridedSlice(Operand<T>, Operand, Operand, Operand, StridedSlice.Options...) - Method in class org.tensorflow.op.Ops: Return a strided slice from input.
StridedSlice.Inputs<T extends TType,U extends TNumber> - Class in org.tensorflow.op.core
StridedSlice.Options - Class in org.tensorflow.op.core: Optional attributes for StridedSlice
StridedSliceAssign<T extends TType> - Class in org.tensorflow.op.core: Assign value to the sliced l-value reference of ref.
StridedSliceAssign(Operation) - Constructor for class org.tensorflow.op.core.StridedSliceAssign
stridedSliceAssign(Scope, Operand<T>, Operand<T>, Index...) - Static method in class org.tensorflow.op.core.StridedSliceHelper: Assign `value` to the sliced l-value reference of `ref`.
stridedSliceAssign(Operand<T>, Operand<T>, Index...) - Method in class org.tensorflow.op.Ops: Assign `value` to the sliced l-value reference of `ref`.
stridedSliceAssign(Operand<T>, Operand, Operand, Operand, Operand<T>, StridedSliceAssign.Options...) - Method in class org.tensorflow.op.Ops: Assign value to the sliced l-value reference of ref.
StridedSliceAssign.Inputs<T extends TType,U extends TNumber> - Class in org.tensorflow.op.core
StridedSliceAssign.Options - Class in org.tensorflow.op.core: Optional attributes for StridedSliceAssign
StridedSliceGrad - Class in org.tensorflow.op.core: Returns the gradient of StridedSlice.
StridedSliceGrad(Operation) - Constructor for class org.tensorflow.op.core.StridedSliceGrad
stridedSliceGrad(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand, StridedSliceGrad.Options...) - Method in class org.tensorflow.op.Ops: Returns the gradient of StridedSlice.
StridedSliceGrad.Inputs<T extends TNumber,U extends TType> - Class in org.tensorflow.op.core
StridedSliceGrad.Options - Class in org.tensorflow.op.core: Optional attributes for StridedSliceGrad
StridedSliceHelper - Class in org.tensorflow.op.core: Helper endpoint methods for Python like indexing.
StridedSliceHelper() - Constructor for class org.tensorflow.op.core.StridedSliceHelper
strides - Variable in class org.tensorflow.op.core.ExtractVolumePatches.Inputs: 1-D of length 5.
strides - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The strides input
strides - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: strides[i] specifies the increment in the ith specification after extracting a given element.
strides - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The strides input
strides - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The strides input
strides - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The strides input
strides - Variable in class org.tensorflow.op.image.ExtractImagePatches.Inputs: How far the centers of two consecutive patches are in the images.
strides - Variable in class org.tensorflow.op.nn.AvgPool.Inputs: The stride of the sliding window for each dimension of `value`.
strides - Variable in class org.tensorflow.op.nn.AvgPool3d.Inputs: 1-D tensor of length 5.
strides - Variable in class org.tensorflow.op.nn.AvgPool3dGrad.Inputs: 1-D tensor of length 5.
strides - Variable in class org.tensorflow.op.nn.AvgPoolGrad.Inputs: The stride of the sliding window for each dimension of the input.
strides - Variable in class org.tensorflow.op.nn.Conv2d.Inputs: 1-D tensor of length 4.
strides - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: The stride of the sliding window for each dimension of the input of the convolution.
strides - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: The stride of the sliding window for each dimension of the input of the convolution.
strides - Variable in class org.tensorflow.op.nn.Conv3d.Inputs: 1-D tensor of length 5.
strides - Variable in class org.tensorflow.op.nn.Conv3dBackpropFilter.Inputs: 1-D tensor of length 5.
strides - Variable in class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs: 1-D tensor of length 5.
strides - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNative.Inputs: 1-D of length 4.
strides - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs: The stride of the sliding window for each dimension of the input of the convolution.
strides - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs: The stride of the sliding window for each dimension of the input of the convolution.
strides - Variable in class org.tensorflow.op.nn.Dilation2d.Inputs: The stride of the sliding window for each dimension of the input tensor.
strides - Variable in class org.tensorflow.op.nn.Dilation2dBackpropFilter.Inputs: 1-D of length 4.
strides - Variable in class org.tensorflow.op.nn.Dilation2dBackpropInput.Inputs: 1-D of length 4.
strides - Variable in class org.tensorflow.op.nn.FusedPadConv2d.Inputs: 1-D of length 4.
strides - Variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs: 1-D of length 4.
strides - Variable in class org.tensorflow.op.nn.MaxPool.Inputs: The stride of the sliding window for each dimension of the input tensor.
strides - Variable in class org.tensorflow.op.nn.MaxPool3d.Inputs: 1-D tensor of length 5.
strides - Variable in class org.tensorflow.op.nn.MaxPool3dGrad.Inputs: 1-D tensor of length 5.
strides - Variable in class org.tensorflow.op.nn.MaxPool3dGradGrad.Inputs: 1-D tensor of length 5.
strides - Variable in class org.tensorflow.op.nn.MaxPoolGrad.Inputs: The stride of the sliding window for each dimension of the input tensor.
strides - Variable in class org.tensorflow.op.nn.MaxPoolGradGrad.Inputs: The stride of the sliding window for each dimension of the input tensor.
strides - Variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs: The stride of the sliding window for each dimension of the input tensor.
strides - Variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs: The stride of the sliding window for each dimension of the input tensor.
strides - Variable in class org.tensorflow.op.nn.MaxPoolWithArgmax.Inputs: The stride of the sliding window for each dimension of the input tensor.
strides - Variable in class org.tensorflow.op.nn.QuantizedAvgPool.Inputs: The stride of the sliding window for each dimension of the input tensor.
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The stride of the sliding window for each dimension of the input tensor.
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: list of stride values.
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: List of stride values.
strides - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: List of stride values.
strides - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: List of stride values.
strides - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: List of stride values.
strides - Variable in class org.tensorflow.op.nn.QuantizedMaxPool.Inputs: The stride of the sliding window for each dimension of the input tensor.
strides - Variable in class org.tensorflow.op.risc.RiscConv.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.risc.RiscPool.Inputs: The strides attribute
STRING_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorProto
STRING_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.StructuredValue
STRING_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.EntryValue
StringFormat - Class in org.tensorflow.op.strings: Formats a string template using a list of tensors.
StringFormat(Operation) - Constructor for class org.tensorflow.op.strings.StringFormat
stringFormat(Iterable<Operand<?>>, StringFormat.Options...) - Method in class org.tensorflow.op.StringsOps: Formats a string template using a list of tensors.
StringFormat.Inputs - Class in org.tensorflow.op.strings
StringFormat.Options - Class in org.tensorflow.op.strings: Optional attributes for StringFormat
stringHandle - Variable in class org.tensorflow.op.data.IteratorFromStringHandle.Inputs: The stringHandle input
stringHandle() - Method in class org.tensorflow.op.data.IteratorToStringHandle: Gets stringHandle.
stringHandle - Variable in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle.Inputs: String representing the resource.
stringHandle() - Method in class org.tensorflow.op.data.MultiDeviceIteratorToStringHandle: Gets stringHandle.
StringLength - Class in org.tensorflow.op.strings: String lengths of input.
StringLength(Operation) - Constructor for class org.tensorflow.op.strings.StringLength
stringLength(Operand<TString>, StringLength.Options...) - Method in class org.tensorflow.op.StringsOps: String lengths of input.
StringLength.Inputs - Class in org.tensorflow.op.strings
StringLength.Options - Class in org.tensorflow.op.strings: Optional attributes for StringLength
StringNGrams<T extends TNumber> - Class in org.tensorflow.op.strings: Creates ngrams from ragged string data.
StringNGrams(Operation) - Constructor for class org.tensorflow.op.strings.StringNGrams
stringNGrams(Operand<TString>, Operand<T>, String, List<Long>, String, String, Long, Boolean) - Method in class org.tensorflow.op.StringsOps: Creates ngrams from ragged string data.
StringNGrams.Inputs<T extends TNumber> - Class in org.tensorflow.op.strings
strings - Variable in class org.tensorflow.op.Ops
StringsOps - Class in org.tensorflow.op: An API for building strings operations as Ops
StringSplit - Class in org.tensorflow.op.strings: Split elements of source based on sep into a SparseTensor.
StringSplit(Operation) - Constructor for class org.tensorflow.op.strings.StringSplit
stringSplit(Operand<TString>, Operand<TString>, StringSplit.Options...) - Method in class org.tensorflow.op.StringsOps: Split elements of source based on sep into a SparseTensor.
StringSplit.Inputs - Class in org.tensorflow.op.strings
StringSplit.Options - Class in org.tensorflow.op.strings: Optional attributes for StringSplit
stringTensor - Variable in class org.tensorflow.op.strings.ToHashBucket.Inputs: The stringTensor input
stringTensor - Variable in class org.tensorflow.op.strings.ToNumber.Inputs: The stringTensor input
Strip - Class in org.tensorflow.op.strings: Strip leading and trailing whitespaces from the Tensor.
Strip(Operation) - Constructor for class org.tensorflow.op.strings.Strip
strip(Operand<TString>) - Method in class org.tensorflow.op.StringsOps: Strip leading and trailing whitespaces from the Tensor.
Strip.Inputs - Class in org.tensorflow.op.strings
stripDeviceAssignment - Variable in class org.tensorflow.op.data.DatasetToGraph.Inputs: The stripDeviceAssignment attribute
stripDeviceAssignment(Boolean) - Method in class org.tensorflow.op.data.DatasetToGraph.Options: Sets the stripDeviceAssignment option.
stripDeviceAssignment(Boolean) - Static method in class org.tensorflow.op.data.DatasetToGraph: Sets the stripDeviceAssignment option.
STRIPPED_DEFAULT_ATTRS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
STRIPPED_OP_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
strongHash - Variable in class org.tensorflow.op.sparse.SparseCrossHashed.Inputs: boolean, if true, siphash with salt will be used instead of farmhash.
struct_size() - Method in class org.tensorflow.internal.c_api.TF_AllocatorAttributes
struct_size(long) - Method in class org.tensorflow.internal.c_api.TF_AllocatorAttributes
StructProtos - Class in org.tensorflow.proto.framework
STRUCTURE_VERIFIER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.VerifierConfig
StructuredValue - Class in org.tensorflow.proto.framework: `StructuredValue` represents a dynamically typed value representing various data structures that are inspired by Python data structures typically used in TensorFlow functions as inputs and outputs.
StructuredValue.Builder - Class in org.tensorflow.proto.framework: `StructuredValue` represents a dynamically typed value representing various data structures that are inspired by Python data structures typically used in TensorFlow functions as inputs and outputs.
StructuredValue.KindCase - Enum in org.tensorflow.proto.framework
StructuredValueOrBuilder - Interface in org.tensorflow.proto.framework
Sub<T extends TType> - Class in org.tensorflow.op.math: Returns x - y element-wise.
Sub(Operation) - Constructor for class org.tensorflow.op.math.Sub
sub(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns x - y element-wise.
Sub.Inputs<T extends TType> - Class in org.tensorflow.op.math
subdiag - Variable in class org.tensorflow.op.linalg.TridiagonalMatMul.Inputs: Tensor of shape [..., 1, M], representing subdiagonals of tri-diagonal matrices to the left of multiplication.
subgraphFrom(Set<Operand<?>>) - Method in class org.tensorflow.Graph: Get all ops that use one of inputs directly or indirectly (not including inputs), including control dependencies.
subgraphFromOps(Set<GraphOperation>) - Method in class org.tensorflow.Graph: Get all ops that use one of inputs directly or indirectly (not including inputs), including control dependencies.
subgraphTo(Set<Operand<?>>) - Method in class org.tensorflow.Graph: Get all ops directly or indirectly required to calculate outputs (not including outputs), including control dependencies.
subgraphToOps(Set<GraphOperation>) - Method in class org.tensorflow.Graph: Get all ops directly or indirectly required to calculate outputs (not including outputs), including control dependencies.
subsample - Variable in class org.tensorflow.op.core.Skipgram.Inputs: Threshold for word occurrence.
subsample(Float) - Method in class org.tensorflow.op.core.Skipgram.Options: Sets the subsample option.
subsample(Float) - Static method in class org.tensorflow.op.core.Skipgram: Sets the subsample option.
Substr - Class in org.tensorflow.op.strings: Return substrings from Tensor of strings.
Substr(Operation) - Constructor for class org.tensorflow.op.strings.Substr
substr(Operand<TString>, Operand<T>, Operand<T>, Substr.Options...) - Method in class org.tensorflow.op.StringsOps: Return substrings from Tensor of strings.
Substr.Inputs<T extends TNumber> - Class in org.tensorflow.op.strings
Substr.Options - Class in org.tensorflow.op.strings: Optional attributes for Substr
Sum<T extends TType> - Class in org.tensorflow.op.core: Computes the sum of elements across dimensions of a tensor.
Sum(Operation) - Constructor for class org.tensorflow.op.core.Sum
sum() - Method in class org.tensorflow.op.math.AccumulateN: Gets sum.
sum() - Method in class org.tensorflow.op.math.AddN: Gets sum.
sum(Operand<T>, Operand<? extends TNumber>, Sum.Options...) - Method in class org.tensorflow.op.Ops: Computes the sum of elements across dimensions of a tensor.
Sum.Inputs<T extends TType> - Class in org.tensorflow.op.core
Sum.Options - Class in org.tensorflow.op.core: Optional attributes for Sum
SUM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.HistogramProto
SUM_SQUARES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.HistogramProto
sumIndices() - Method in class org.tensorflow.op.sparse.SparseAdd: Gets sumIndices.
sumIndices - Variable in class org.tensorflow.op.sparse.SparseAddGrad.Inputs: 2-D.
summand - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The summand input
summand - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The summand input
summand - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The summand input
summaries() - Method in class org.tensorflow.op.estimator.BoostedTreesFlushQuantileSummaries: Gets summaries.
summaries() - Method in class org.tensorflow.op.estimator.BoostedTreesMakeQuantileSummaries: Gets summaries.
summaries - Variable in class org.tensorflow.op.estimator.BoostedTreesQuantileStreamResourceAddSummaries.Inputs: string; List of Rank 2 Tensor each containing the summaries for a single feature.
summarize - Variable in class org.tensorflow.op.core.AssertThat.Inputs: Print this many entries of each tensor.
summarize(Long) - Method in class org.tensorflow.op.core.AssertThat.Options: Sets the summarize option.
summarize(Long) - Static method in class org.tensorflow.op.core.AssertThat: Sets the summarize option.
summarize - Variable in class org.tensorflow.op.strings.StringFormat.Inputs: When formatting the tensor summaries print the first and last summarize entries of each tensor dimension.
summarize(Long) - Method in class org.tensorflow.op.strings.StringFormat.Options: Sets the summarize option.
summarize(Long) - Static method in class org.tensorflow.op.strings.StringFormat: Sets the summarize option.
summary() - Method in class org.tensorflow.op.data.experimental.StatsAggregatorSummary: Gets summary.
summary - Variable in class org.tensorflow.op.data.StatsAggregatorSetSummaryWriter.Inputs: The summary input
summary - Variable in class org.tensorflow.op.Ops
summary() - Method in class org.tensorflow.op.summary.AudioSummary: Gets summary.
summary() - Method in class org.tensorflow.op.summary.HistogramSummary: Gets summary.
summary() - Method in class org.tensorflow.op.summary.ImageSummary: Gets summary.
summary() - Method in class org.tensorflow.op.summary.MergeSummary: Gets summary.
summary() - Method in class org.tensorflow.op.summary.ScalarSummary: Gets summary.
summary() - Method in class org.tensorflow.op.summary.StatsAggregatorSummary: Gets summary.
summary() - Method in class org.tensorflow.op.summary.TensorSummary: Gets summary.
Summary - Class in org.tensorflow.proto.framework: A Summary is a set of named values to be displayed by the visualizer.
Summary.Audio - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.Summary.Audio
Summary.Audio.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.Summary.Audio
Summary.AudioOrBuilder - Interface in org.tensorflow.proto.framework
Summary.Builder - Class in org.tensorflow.proto.framework: A Summary is a set of named values to be displayed by the visualizer.
Summary.Image - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.Summary.Image
Summary.Image.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.Summary.Image
Summary.ImageOrBuilder - Interface in org.tensorflow.proto.framework
Summary.Value - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.Summary.Value
Summary.Value.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.Summary.Value
Summary.Value.ValueCase - Enum in org.tensorflow.proto.framework
Summary.ValueOrBuilder - Interface in org.tensorflow.proto.framework
SUMMARY_DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SummaryMetadata
SUMMARY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ApiDef
SUMMARY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef
SUMMARY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.Event
SummaryDescription - Class in org.tensorflow.proto.framework: Metadata associated with a series of Summary data
SummaryDescription.Builder - Class in org.tensorflow.proto.framework: Metadata associated with a series of Summary data
SummaryDescriptionOrBuilder - Interface in org.tensorflow.proto.framework
summaryMetadata - Variable in class org.tensorflow.op.summary.WriteSummary.Inputs: The summaryMetadata input
SummaryMetadata - Class in org.tensorflow.proto.framework: A SummaryMetadata encapsulates information on which plugins are able to make use of a certain summary value.
SummaryMetadata.Builder - Class in org.tensorflow.proto.framework: A SummaryMetadata encapsulates information on which plugins are able to make use of a certain summary value.
SummaryMetadata.PluginData - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.SummaryMetadata.PluginData
SummaryMetadata.PluginData.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.SummaryMetadata.PluginData
SummaryMetadata.PluginDataOrBuilder - Interface in org.tensorflow.proto.framework
SummaryMetadataOrBuilder - Interface in org.tensorflow.proto.framework
SummaryOps - Class in org.tensorflow.op: An API for building summary operations as Ops
SummaryOrBuilder - Interface in org.tensorflow.proto.framework
SummaryProtos - Class in org.tensorflow.proto.framework
SummaryWriter - Class in org.tensorflow.op.summary: The SummaryWriter operation
SummaryWriter(Operation) - Constructor for class org.tensorflow.op.summary.SummaryWriter
SummaryWriter.Inputs - Class in org.tensorflow.op.summary
SummaryWriter.Options - Class in org.tensorflow.op.summary: Optional attributes for SummaryWriter
sumShape() - Method in class org.tensorflow.op.sparse.SparseAdd: Gets sumShape.
sumValues() - Method in class org.tensorflow.op.sparse.SparseAdd: Gets sumValues.
superdiag - Variable in class org.tensorflow.op.linalg.TridiagonalMatMul.Inputs: Tensor of shape [..., 1, M], representing superdiagonals of tri-diagonal matrices to the left of multiplication.
Svd<T extends TType> - Class in org.tensorflow.op.linalg: Computes the singular value decompositions of one or more matrices.
Svd(Operation) - Constructor for class org.tensorflow.op.linalg.Svd
svd(Operand<T>, Svd.Options...) - Method in class org.tensorflow.op.LinalgOps: Computes the singular value decompositions of one or more matrices.
Svd<T extends TType> - Class in org.tensorflow.op.xla: Computes the eigen decomposition of a batch of self-adjoint matrices (Note: Only real inputs are supported).
Svd(Operation) - Constructor for class org.tensorflow.op.xla.Svd
svd(Operand<T>, Long, Float, String) - Method in class org.tensorflow.op.XlaOps: Computes the eigen decomposition of a batch of self-adjoint matrices (Note: Only real inputs are supported).
Svd.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
Svd.Inputs<T extends TType> - Class in org.tensorflow.op.xla
Svd.Options - Class in org.tensorflow.op.linalg: Optional attributes for Svd
SWAP_MEMORY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.WhileContextDef
SWAPPING_HEURISTICS_VALUE - Static variable in enum org.tensorflow.proto.framework.RewriterConfig.MemOptType: Swapping heuristic will move a tensor from the GPU to the CPU and move it back when needed to reduce peak memory usage.
SwitchCond<T extends TType> - Class in org.tensorflow.op.core: Forwards data to the output port determined by pred.
SwitchCond(Operation) - Constructor for class org.tensorflow.op.core.SwitchCond
switchCond(Operand<T>, Operand<TBool>) - Method in class org.tensorflow.op.Ops: Forwards data to the output port determined by pred.
SwitchCond.Inputs<T extends TType> - Class in org.tensorflow.op.core
SymbolicGradient - Class in org.tensorflow.op.train: Computes the gradient function for function f via backpropagation.
SymbolicGradient(Operation) - Constructor for class org.tensorflow.op.train.SymbolicGradient
symbolicGradient(Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction) - Method in class org.tensorflow.op.TrainOps: Computes the gradient function for function f via backpropagation.
SymbolicGradient.Inputs - Class in org.tensorflow.op.train
SYNCHRONIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedVariable
SYNCHRONIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.VariableDef
SYSTEM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.PlatformInfo

T

T - Variable in class org.tensorflow.op.bitwise.BitwiseAnd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.bitwise.BitwiseOr.Inputs: The T attribute
T - Variable in class org.tensorflow.op.bitwise.BitwiseXor.Inputs: The T attribute
T - Variable in class org.tensorflow.op.bitwise.Invert.Inputs: The T attribute
T - Variable in class org.tensorflow.op.bitwise.LeftShift.Inputs: The T attribute
T - Variable in class org.tensorflow.op.bitwise.RightShift.Inputs: The T attribute
T - Variable in class org.tensorflow.op.collective.CollectiveAllToAll.Inputs: The T attribute
T - Variable in class org.tensorflow.op.collective.CollectiveBcastRecv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.collective.CollectiveBcastSend.Inputs: The T attribute
T - Variable in class org.tensorflow.op.collective.CollectiveGather.Inputs: The T attribute
T - Variable in class org.tensorflow.op.collective.CollectivePermute.Inputs: The type of elements to be exchanged.
T - Variable in class org.tensorflow.op.collective.CollectiveReduce.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.AssertThat.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Assign.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.AssignAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.AssignSub.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.BarrierInsertMany.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Batch.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.BatchToSpace.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.BatchToSpaceNd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Bitcast.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.BroadcastDynamicShape.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.BroadcastGradientArgs.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.BroadcastTo.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Bucketize.Inputs: The T attribute
t - Variable in class org.tensorflow.op.core.ClipByValue.Inputs: A Tensor.
T - Variable in class org.tensorflow.op.core.ClipByValue.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Concat.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Copy.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.CopyHost.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.CountUpTo.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.DeepCopy.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.DestroyTemporaryVariable.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.DynamicPartition.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.DynamicStitch.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.EditDistance.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.EnsureShape.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Enter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Exit.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ExpandDims.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ExtractVolumePatches.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Fill.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Fingerprint.Inputs: This can be a POD-type or string type.
T - Variable in class org.tensorflow.op.core.For.Inputs: A list of dtypes.
T - Variable in class org.tensorflow.op.core.GetSessionHandle.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.GuaranteeConst.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.HistogramFixedWidth.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Identity.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.IdentityN.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.InplaceAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.InplaceSub.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.InplaceUpdate.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.LinSpace.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.LowerBound.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Max.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Merge.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Min.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.MirrorPad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.MirrorPadGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.NcclAllReduce.Inputs: Deprecated.

The T attribute
T - Variable in class org.tensorflow.op.core.NcclBroadcast.Inputs: Deprecated.

The T attribute
T - Variable in class org.tensorflow.op.core.NcclReduce.Inputs: Deprecated.

The T attribute
T - Variable in class org.tensorflow.op.core.NextIteration.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.OneHot.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.OnesLike.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Pad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ParallelConcat.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ParallelDynamicStitch.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Prod.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.QuantizedReshape.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Rank.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ReduceMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ReduceMin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ReduceProd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ReduceSum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.RefEnter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.RefExit.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.RefIdentity.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.RefMerge.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.RefNextIteration.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.RefSelect.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.RefSwitch.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Reshape.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ResourceCountUpTo.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ResourceScatterNdAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ResourceScatterNdMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ResourceScatterNdMin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ResourceScatterNdSub.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ResourceScatterNdUpdate.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Reverse.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ReverseSequence.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Roll.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterDiv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterMin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterMul.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterNd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterNdAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterNdMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterNdMin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterNdNonAliasingAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterNdSub.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterNdUpdate.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterSub.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterUpdate.Inputs: The T attribute
t - Variable in class org.tensorflow.op.core.Select.Inputs: The t input
T - Variable in class org.tensorflow.op.core.Select.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Send.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.SetDiff1d.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.SetSize.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Shape.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ShapeN.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Size.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Slice.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Snapshot.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.SpaceToBatchNd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Split.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.SplitV.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Squeeze.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Stack.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.StatefulWhile.Inputs: dtype in use.
T - Variable in class org.tensorflow.op.core.StatelessWhile.Inputs: dtype in use.
T - Variable in class org.tensorflow.op.core.StopGradient.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Sum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.SwitchCond.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorArrayScatter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorArraySplit.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorArrayUnpack.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorArrayWrite.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorScatterNdAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorScatterNdMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorScatterNdMin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorScatterNdSub.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorScatterNdUpdate.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Tile.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Unbatch.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.UnbatchGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Unique.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.UniqueWithCounts.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Unstack.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.UpperBound.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Where.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ZerosLike.Inputs: The T attribute
T - Variable in class org.tensorflow.op.data.LeakyReluGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.debugging.CheckNumerics.Inputs: The T attribute
T - Variable in class org.tensorflow.op.debugging.DebugGradientIdentity.Inputs: The T attribute
T - Variable in class org.tensorflow.op.debugging.DebugGradientRefIdentity.Inputs: The T attribute
T - Variable in class org.tensorflow.op.debugging.DebugIdentity.Inputs: The T attribute
T - Variable in class org.tensorflow.op.debugging.DebugNanCount.Inputs: The T attribute
T - Variable in class org.tensorflow.op.debugging.DebugNumericsSummary.Inputs: The T attribute
T - Variable in class org.tensorflow.op.distribute.NcclAllReduce.Inputs: The T attribute
T - Variable in class org.tensorflow.op.distribute.NcclBroadcast.Inputs: The T attribute
T - Variable in class org.tensorflow.op.distribute.NcclReduce.Inputs: The T attribute
T - Variable in class org.tensorflow.op.dtypes.AsString.Inputs: The T attribute
T - Variable in class org.tensorflow.op.dtypes.Complex.Inputs: The T attribute
T - Variable in class org.tensorflow.op.dtypes.ToBool.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.AdjustContrast.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.AdjustHue.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.AdjustSaturation.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.CropAndResize.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.CropAndResizeGradBoxes.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.CropAndResizeGradImage.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.DrawBoundingBoxes.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.EncodePng.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ExtractImagePatches.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.HsvToRgb.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.NonMaxSuppression.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.QuantizedResizeBilinear.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.RandomCrop.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ResizeArea.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ResizeBicubic.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ResizeBicubicGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ResizeBilinear.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ResizeBilinearGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ResizeNearestNeighbor.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ResizeNearestNeighborGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.RgbToHsv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ScaleAndTranslate.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ScaleAndTranslateGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: The T attribute
T - Variable in class org.tensorflow.op.io.SerializeManySparse.Inputs: The T attribute
T - Variable in class org.tensorflow.op.io.SerializeSparse.Inputs: The T attribute
T - Variable in class org.tensorflow.op.io.SerializeTensor.Inputs: The type of the input tensor.
T - Variable in class org.tensorflow.op.linalg.BandedTriangularSolve.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BandPart.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchCholesky.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchCholeskyGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchMatrixBandPart.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchMatrixDeterminant.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchMatrixDiag.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchMatrixDiagPart.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchMatrixInverse.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchMatrixSetDiag.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchMatrixSolve.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchMatrixSolveLs.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchSelfAdjointEig.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchSvd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Cholesky.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.CholeskyGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.ConjugateTranspose.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Cross.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Det.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Eig.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Einsum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.EuclideanNorm.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Inv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.LogMatrixDeterminant.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Lu.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.MatMul.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.MatrixDiag.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.MatrixDiagPart.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.MatrixDiagPartV3.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.MatrixDiagV3.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.MatrixLogarithm.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.MatrixSetDiag.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.MatrixSolveLs.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Qr.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.SelfAdjointEig.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Solve.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.sparse.DenseToCSRSparseMatrix.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMul.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Sqrtm.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Svd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.TensorDiag.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.TensorDiagPart.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Transpose.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.TriangularSolve.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.TridiagonalMatMul.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.TridiagonalSolve.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Abs.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.AccumulateN.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Acos.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Acosh.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Add.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.AddN.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Angle.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.ApproximateEqual.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.ArgMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.ArgMin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Asin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Asinh.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Atan.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Atan2.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Atanh.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.BesselI0.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.BesselI0e.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.BesselI1.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.BesselI1e.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Betainc.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Bincount.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Ceil.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.ComplexAbs.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Conj.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Cos.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Cosh.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Cumprod.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Cumsum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.CumulativeLogsumexp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.DenseBincount.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Digamma.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Div.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.DivNoNan.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Equal.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Erf.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Erfc.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.erfinv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Exp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Expm1.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Floor.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.FloorDiv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.FloorMod.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Greater.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.GreaterEqual.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Igamma.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Igammac.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.IgammaGradA.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Imag.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.InvertPermutation.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.IsFinite.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.IsInf.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.IsNan.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Less.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.LessEqual.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Lgamma.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Log.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Log1p.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Maximum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Mean.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Minimum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Mod.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Mul.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.MulNoNan.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Ndtri.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Neg.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.NextAfter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.NotEqual.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Polygamma.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.PopulationCount.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Pow.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Real.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.RealDiv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Reciprocal.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.ReciprocalGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.RequantizationRangePerChannel.Inputs: The quantized type of input tensor that needs to be converted.
T - Variable in class org.tensorflow.op.math.RequantizePerChannel.Inputs: The quantized type of input tensor that needs to be converted.
T - Variable in class org.tensorflow.op.math.Rint.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Round.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Rsqrt.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.RsqrtGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.SegmentMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.SegmentMean.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.SegmentMin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.SegmentProd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.SegmentSum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Sigmoid.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.SigmoidGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Sign.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Sin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Sinh.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Softplus.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.SoftplusGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.BesselJ0.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.BesselJ1.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.BesselK0.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.BesselK0e.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.BesselK1.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.BesselK1e.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.BesselY0.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.BesselY1.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.Dawsn.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.Expint.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.FresnelCos.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.FresnelSin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.Spence.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Sqrt.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.SqrtGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Square.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.SquaredDifference.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Sub.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Tan.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Tanh.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.TanhGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.TruncateDiv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.TruncateMod.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.UnsortedSegmentMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.UnsortedSegmentMin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.UnsortedSegmentProd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.UnsortedSegmentSum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Xdivy.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Xlog1py.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Xlogy.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Zeta.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.AvgPool.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.AvgPool3d.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.AvgPool3dGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.AvgPoolGrad.Inputs: The T attribute
t - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization.Inputs: A 4D input Tensor.
T - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization.Inputs: The T attribute
t - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad.Inputs: A 4D input Tensor.
T - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.BiasAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.BiasAddGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Conv2d.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Conv3d.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Conv3dBackpropFilter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.CtcBeamSearchDecoder.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.CtcGreedyDecoder.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.CtcLoss.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.DataFormatDimMap.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.DataFormatVecPermute.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.DepthToSpace.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNative.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Dilation2d.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Dilation2dBackpropFilter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Dilation2dBackpropInput.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Elu.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.EluGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.FractionalAvgPool.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.FractionalAvgPoolGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.FractionalMaxPool.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.FractionalMaxPoolGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: The data type for the elements of input and output Tensors.
T - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: The data type for the elements of input and output Tensors.
T - Variable in class org.tensorflow.op.nn.FusedPadConv2d.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.GRUBlockCell.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.InTopK.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.InvGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.IsotonicRegression.Inputs: The T attribute
t - Variable in class org.tensorflow.op.nn.L2Loss.Inputs: Typically 2-D, but may have any dimensions.
T - Variable in class org.tensorflow.op.nn.L2Loss.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.LeakyRelu.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.LocalResponseNormalization.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.LogSoftmax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.MaxPool.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.MaxPool3d.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.MaxPool3dGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.MaxPool3dGradGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.MaxPoolGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.MaxPoolGradGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.MaxPoolWithArgmax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.NthElement.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.QuantizedAvgPool.Inputs: The T attribute
t - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: A 4D input Tensor.
T - Variable in class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.QuantizedMaxPool.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Relu.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Relu6.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Relu6Grad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.ReluGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Selu.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.SeluGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Softmax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Softsign.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.SoftsignGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.SpaceToBatch.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.SpaceToDepth.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.TopK.Inputs: The T attribute
T - Variable in class org.tensorflow.op.quantization.Dequantize.Inputs: The T attribute
T - Variable in class org.tensorflow.op.quantization.Quantize.Inputs: The T attribute
T - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs: The T attribute
T - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs: The T attribute
T - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: The T attribute
T - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.quantization.QuantizedConcat.Inputs: The T attribute
T - Variable in class org.tensorflow.op.ragged.RaggedBincount.Inputs: The T attribute
T - Variable in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Inputs: The T attribute
T - Variable in class org.tensorflow.op.ragged.RaggedRange.Inputs: The T attribute
T - Variable in class org.tensorflow.op.ragged.RaggedTensorToSparse.Inputs: The T attribute
T - Variable in class org.tensorflow.op.ragged.RaggedTensorToTensor.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.Multinomial.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.RandomGamma.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.RandomGammaGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.RandomShuffle.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.RandomStandardNormal.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.RandomUniform.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.RandomUniformInt.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.StatefulRandomBinomial.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.StatelessMultinomial.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.StatelessRandomBinomial.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.StatelessRandomGamma.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.StatelessRandomNormal.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.StatelessRandomPoisson.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.StatelessRandomUniform.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullInt.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.StatelessRandomUniformInt.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.StatelessTruncatedNormal.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.TruncatedNormal.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscAbs.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscBinaryArithmetic.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscBinaryComparison.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscBroadcast.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscCeil.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscCholesky.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscConcat.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscConv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscCos.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscDiv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscDot.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscExp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscFloor.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscImag.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscIsFinite.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscLog.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscMin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscMul.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscNeg.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscPad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscPool.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscPow.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscRandomUniform.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscReal.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscReduce.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscRem.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscReshape.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscReverse.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscScatter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscShape.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscSign.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscSlice.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscSort.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscSqueeze.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscSub.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscTranspose.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscTriangularSolve.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscUnary.Inputs: The T attribute
T - Variable in class org.tensorflow.op.risc.RiscWhile.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.AddSparseToTensorsMap.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.DenseCountSparseOutput.Inputs: Dtype of the input values tensor.
T - Variable in class org.tensorflow.op.sparse.DenseToDenseSetOperation.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.DenseToSparseSetOperation.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseAddGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseBincount.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseConcat.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs: Dtype of the input values tensor.
T - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseDiv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseMul.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseFillEmptyRows.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseReduceMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseReduceMaxSparse.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseReduceSum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseReduceSumSparse.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseReorder.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSegmentMean.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtN.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSegmentSum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSegmentSumGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSlice.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSliceGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSoftmax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSparseMaximum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSparseMinimum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSplit.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseTensorDenseAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseToDense.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs: The T attribute
T - Variable in class org.tensorflow.op.strings.StringFormat.Inputs: The T attribute
T - Variable in class org.tensorflow.op.strings.Substr.Inputs: The T attribute
T - Variable in class org.tensorflow.op.summary.HistogramSummary.Inputs: The T attribute
T - Variable in class org.tensorflow.op.summary.ImageSummary.Inputs: The T attribute
T - Variable in class org.tensorflow.op.summary.ScalarSummary.Inputs: The T attribute
T - Variable in class org.tensorflow.op.summary.TensorSummary.Inputs: The T attribute
T - Variable in class org.tensorflow.op.summary.WriteHistogramSummary.Inputs: The T attribute
T - Variable in class org.tensorflow.op.summary.WriteImageSummary.Inputs: The T attribute
T - Variable in class org.tensorflow.op.summary.WriteScalarSummary.Inputs: The T attribute
T - Variable in class org.tensorflow.op.summary.WriteSummary.Inputs: The T attribute
T - Variable in class org.tensorflow.op.tpu.AllToAll.Inputs: The type of elements to be exchanged.
T - Variable in class org.tensorflow.op.tpu.CrossReplicaSum.Inputs: The type of elements to be summed.
T - Variable in class org.tensorflow.op.tpu.PartitionedInput.Inputs: The T attribute
T - Variable in class org.tensorflow.op.tpu.PartitionedOutput.Inputs: The T attribute
T - Variable in class org.tensorflow.op.tpu.ReplicatedInput.Inputs: The T attribute
T - Variable in class org.tensorflow.op.tpu.ReplicatedOutput.Inputs: The T attribute
T - Variable in class org.tensorflow.op.tpu.TPUReplicatedInput.Inputs: Deprecated.

The T attribute
T - Variable in class org.tensorflow.op.tpu.TPUReplicatedOutput.Inputs: Deprecated.

The T attribute
T - Variable in class org.tensorflow.op.train.ApplyAdadelta.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyAdagrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyAdagradV2.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyAddSign.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyGradientDescent.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyMomentum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyPowerSign.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyProximalAdagrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyProximalGradientDescent.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.PreventGradient.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyAdagrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyAddSign.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyGradientDescent.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyMomentum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SaveSlices.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.TileGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.AllReduce.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.AssignVariableConcatND.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.BroadcastHelper.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.ClusterOutput.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.ConcatND.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.DynamicSlice.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.DynamicUpdateSlice.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.Einsum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.Gather.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.Pad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.ReadVariableSplitND.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.Reduce.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.ReduceScatter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.ReduceWindow.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.RemoveDynamicDimensionSize.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.Scatter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.SelectAndScatter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.SelfAdjointEig.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.Send.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.SetDynamicDimensionSize.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.Sharding.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.Sort.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.SplitND.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.SpmdFullToShardShape.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.SpmdShardToFullShape.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.Svd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.While.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.XlaVariadicReduce.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.XlaVariadicSort.Inputs: The T attribute
T1 - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.math.QuantizedAdd.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.math.QuantizedMul.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: The T1 attribute
T2 - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.math.QuantizedAdd.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.math.QuantizedMul.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: The T2 attribute
T3 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The T3 attribute
T3 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs: The T3 attribute
T3 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: The T3 attribute
Ta - Variable in class org.tensorflow.op.sparse.SparseMatMul.Inputs: The Ta attribute
Ta - Variable in class org.tensorflow.op.train.BatchMatMul.Inputs: The Ta attribute
tableHandle() - Method in class org.tensorflow.op.core.AnonymousHashTable: Gets tableHandle.
tableHandle() - Method in class org.tensorflow.op.core.HashTable: Gets tableHandle.
tableHandle - Variable in class org.tensorflow.op.core.InitializeTable.Inputs: Handle to a table which will be initialized.
tableHandle - Variable in class org.tensorflow.op.core.InitializeTableFromTextFile.Inputs: Handle to a table which will be initialized.
tableHandle - Variable in class org.tensorflow.op.core.LookupTableExport.Inputs: Handle to the table.
tableHandle - Variable in class org.tensorflow.op.core.LookupTableFind.Inputs: Handle to the table.
tableHandle - Variable in class org.tensorflow.op.core.LookupTableImport.Inputs: Handle to the table.
tableHandle - Variable in class org.tensorflow.op.core.LookupTableInsert.Inputs: Handle to the table.
tableHandle - Variable in class org.tensorflow.op.core.LookupTableRemove.Inputs: Handle to the table.
tableHandle - Variable in class org.tensorflow.op.core.LookupTableSize.Inputs: Handle to the table.
tableHandle() - Method in class org.tensorflow.op.core.MutableDenseHashTable: Gets tableHandle.
tableHandle() - Method in class org.tensorflow.op.core.MutableHashTable: Gets tableHandle.
tableHandle() - Method in class org.tensorflow.op.core.MutableHashTableOfTensors: Gets tableHandle.
tableHandle - Variable in class org.tensorflow.op.data.InitializeTableFromDataset.Inputs: The tableHandle input
tableId - Variable in class org.tensorflow.op.tpu.EmbeddingActivations.Inputs: The id of the table in the embedding layer configuration from which these activations were computed.
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Inputs: The tableId attribute
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters: Sets the tableId option.
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Inputs: The tableId attribute
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters: Sets the tableId option.
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Inputs: The tableId attribute
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters: Sets the tableId option.
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Inputs: The tableId attribute
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters: Sets the tableId option.
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs: The tableId attribute
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters: Sets the tableId option.
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Inputs: The tableId attribute
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters: Sets the tableId option.
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Inputs: The tableId attribute
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters: Sets the tableId option.
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs: The tableId attribute
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters: Sets the tableId option.
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Inputs: The tableId attribute
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters: Sets the tableId option.
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Inputs: The tableId attribute
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters: Sets the tableId option.
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Inputs: The tableId attribute
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters: Sets the tableId option.
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Inputs: The tableId attribute
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters: Sets the tableId option.
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Inputs: The tableId attribute
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters: Sets the tableId option.
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters.Inputs: The tableId attribute
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters: Sets the tableId option.
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters.Inputs: The tableId attribute
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters: Sets the tableId option.
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters.Inputs: The tableId attribute
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters: Sets the tableId option.
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters.Inputs: The tableId attribute
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters: Sets the tableId option.
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters.Inputs: The tableId attribute
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters: Sets the tableId option.
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters.Inputs: The tableId attribute
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters: Sets the tableId option.
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters.Inputs: The tableId attribute
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters: Sets the tableId option.
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters.Inputs: The tableId attribute
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters: Sets the tableId option.
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters.Inputs: The tableId attribute
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters: Sets the tableId option.
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters.Inputs: The tableId attribute
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters: Sets the tableId option.
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters.Inputs: The tableId attribute
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters: Sets the tableId option.
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters.Inputs: The tableId attribute
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters: Sets the tableId option.
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Inputs: The tableId attribute
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters: Sets the tableId option.
tableId - Variable in class org.tensorflow.op.tpu.TPUEmbeddingActivations.Inputs: Deprecated.

The id of the table in the embedding layer configuration from which these activations were computed.
tableIds - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: A list of integers specifying the identifier of the embedding table (offset of TableDescriptor in the TPUEmbeddingConfiguration) to lookup the corresponding input.
tableIds - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: A list of integers specifying the identifier of the embedding table (offset of TableDescriptor in the TPUEmbeddingConfiguration) to lookup the corresponding input.
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Inputs: The tableName attribute
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters: Sets the tableName option.
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Inputs: The tableName attribute
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters: Sets the tableName option.
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Inputs: The tableName attribute
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters: Sets the tableName option.
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Inputs: The tableName attribute
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters: Sets the tableName option.
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs: The tableName attribute
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters: Sets the tableName option.
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Inputs: The tableName attribute
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters: Sets the tableName option.
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Inputs: The tableName attribute
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters: Sets the tableName option.
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs: The tableName attribute
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters: Sets the tableName option.
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Inputs: The tableName attribute
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters: Sets the tableName option.
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Inputs: The tableName attribute
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters: Sets the tableName option.
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Inputs: The tableName attribute
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters: Sets the tableName option.
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Inputs: The tableName attribute
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters: Sets the tableName option.
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Inputs: The tableName attribute
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters: Sets the tableName option.
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters.Inputs: The tableName attribute
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters: Sets the tableName option.
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters.Inputs: The tableName attribute
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters: Sets the tableName option.
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters.Inputs: The tableName attribute
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters: Sets the tableName option.
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters.Inputs: The tableName attribute
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters: Sets the tableName option.
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters.Inputs: The tableName attribute
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters: Sets the tableName option.
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters.Inputs: The tableName attribute
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters: Sets the tableName option.
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters.Inputs: The tableName attribute
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters: Sets the tableName option.
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters.Inputs: The tableName attribute
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters: Sets the tableName option.
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters.Inputs: The tableName attribute
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters: Sets the tableName option.
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters.Inputs: The tableName attribute
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters: Sets the tableName option.
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters.Inputs: The tableName attribute
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters: Sets the tableName option.
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters.Inputs: The tableName attribute
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters: Sets the tableName option.
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Inputs: The tableName attribute
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters: Sets the tableName option.
Tactivation - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: The type of output produced by activation function following this operation.
tag - Variable in class org.tensorflow.op.data.BytesProducedStatsDataset.Inputs: The tag input
tag - Variable in class org.tensorflow.op.data.experimental.BytesProducedStatsDataset.Inputs: The tag input
tag - Variable in class org.tensorflow.op.data.experimental.LatencyStatsDataset.Inputs: The tag input
tag - Variable in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset.Inputs: The tag input
tag - Variable in class org.tensorflow.op.data.LatencyStatsDataset.Inputs: The tag input
tag - Variable in class org.tensorflow.op.data.SetStatsAggregatorDataset.Inputs: The tag input
tag - Variable in class org.tensorflow.op.summary.AudioSummary.Inputs: Scalar.
tag - Variable in class org.tensorflow.op.summary.HistogramSummary.Inputs: Scalar.
tag - Variable in class org.tensorflow.op.summary.ImageSummary.Inputs: Scalar.
tag - Variable in class org.tensorflow.op.summary.TensorSummary.Inputs: A string attached to this summary.
tag - Variable in class org.tensorflow.op.summary.WriteAudioSummary.Inputs: The tag input
tag - Variable in class org.tensorflow.op.summary.WriteHistogramSummary.Inputs: The tag input
tag - Variable in class org.tensorflow.op.summary.WriteImageSummary.Inputs: The tag input
tag - Variable in class org.tensorflow.op.summary.WriteScalarSummary.Inputs: The tag input
tag - Variable in class org.tensorflow.op.summary.WriteSummary.Inputs: The tag input
TAG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.Summary.Value
TAG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.TaggedRunMetadata
TAGGED_RUN_METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.Event
TaggedRunMetadata - Class in org.tensorflow.proto.util: For logging the metadata output for a single session.run() call.
TaggedRunMetadata.Builder - Class in org.tensorflow.proto.util: For logging the metadata output for a single session.run() call.
TaggedRunMetadataOrBuilder - Interface in org.tensorflow.proto.util
tags - Variable in class org.tensorflow.op.summary.ScalarSummary.Inputs: Tags for the summary.
TAGS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
tail(Scope, Shape<TInt32>) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional Operand that contains the dimension matching the last dimension of the Shape.
tail(Scope, Shape, Class) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional Operand that contains the dimension matching the last dimension of * the Shape.
tail(Shape<TInt32>) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional Operand that contains the dimension matching the last dimension of the Shape.
tail(Shape, Class) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional Operand that contains the dimension matching the last dimension of * the Shape.
take(Scope, Shape<TInt32>, Operand<TInt32>) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand with the dimensions matching the first n dimensions of the shape.
take(Scope, Shape, Operand, Class) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand containin the dimensions matching the first n dimensions of the shape.
take(Shape<TInt32>, Operand<TInt32>) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand with the dimensions matching the first n dimensions of the shape.
take(Shape, Operand, Class) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand containin the dimensions matching the first n dimensions of the shape.
TakeDataset - Class in org.tensorflow.op.data: Creates a dataset that contains count elements from the input_dataset.
TakeDataset(Operation) - Constructor for class org.tensorflow.op.data.TakeDataset
takeDataset(Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, TakeDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that contains count elements from the input_dataset.
TakeDataset.Inputs - Class in org.tensorflow.op.data
TakeDataset.Options - Class in org.tensorflow.op.data: Optional attributes for TakeDataset
takeLast(Scope, Shape<TInt32>, Operand<TInt32>) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand containing the dimensions matching the last n dimensions of the shape.
takeLast(Scope, Shape, Operand, Class) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand containing the dimensions matching the last n dimensions of the shape.
takeLast(Shape<TInt32>, Operand<TInt32>) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand containing the dimensions matching the last n dimensions of the shape.
takeLast(Shape, Operand, Class) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand containing the dimensions matching the last n dimensions of the shape.
TakeManySparseFromTensorsMap<T extends TType> - Class in org.tensorflow.op.sparse: Read SparseTensors from a SparseTensorsMap and concatenate them.
TakeManySparseFromTensorsMap(Operation) - Constructor for class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap
takeManySparseFromTensorsMap(Operand<TInt64>, Class<T>, TakeManySparseFromTensorsMap.Options...) - Method in class org.tensorflow.op.SparseOps: Read SparseTensors from a SparseTensorsMap and concatenate them.
TakeManySparseFromTensorsMap.Inputs - Class in org.tensorflow.op.sparse
TakeManySparseFromTensorsMap.Options - Class in org.tensorflow.op.sparse: Optional attributes for TakeManySparseFromTensorsMap
TakeWhileDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that stops iteration when predicate` is false.
TakeWhileDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.TakeWhileDataset
TakeWhileDataset - Class in org.tensorflow.op.data: Creates a dataset that stops iteration when predicate` is false.
TakeWhileDataset(Operation) - Constructor for class org.tensorflow.op.data.TakeWhileDataset
takeWhileDataset(Operand<? extends TType>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, TakeWhileDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that stops iteration when predicate` is false.
TakeWhileDataset.Inputs - Class in org.tensorflow.op.data.experimental
TakeWhileDataset.Inputs - Class in org.tensorflow.op.data
TakeWhileDataset.Options - Class in org.tensorflow.op.data: Optional attributes for TakeWhileDataset
Tan<T extends TType> - Class in org.tensorflow.op.math: Computes tan of x element-wise.
Tan(Operation) - Constructor for class org.tensorflow.op.math.Tan
tan(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes tan of x element-wise.
Tan.Inputs<T extends TType> - Class in org.tensorflow.op.math
Tanh<T extends TType> - Class in org.tensorflow.op.math: Computes hyperbolic tangent of x element-wise.
Tanh(Operation) - Constructor for class org.tensorflow.op.math.Tanh
tanh(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes hyperbolic tangent of x element-wise.
Tanh.Inputs<T extends TType> - Class in org.tensorflow.op.math
TanhGrad<T extends TType> - Class in org.tensorflow.op.math: Computes the gradient for the tanh of x wrt its input.
TanhGrad(Operation) - Constructor for class org.tensorflow.op.math.TanhGrad
TanhGrad.Inputs<T extends TType> - Class in org.tensorflow.op.math
target - Variable in class org.tensorflow.op.core.RemoteCall.Inputs: A fully specified device name where we want to run the function.
TARGET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CallableOptions
TARGET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.TestResults
targets - Variable in class org.tensorflow.op.nn.InTopK.Inputs: A batch_size vector of class ids.
targetWorkers - Variable in class org.tensorflow.op.data.DataServiceDatasetV2.Inputs: The targetWorkers attribute
targetWorkers(String) - Method in class org.tensorflow.op.data.DataServiceDatasetV2.Options: Sets the targetWorkers option.
targetWorkers(String) - Static method in class org.tensorflow.op.data.DataServiceDatasetV2: Sets the targetWorkers option.
Targmax - Variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs: The Targmax attribute
Targmax - Variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs: The Targmax attribute
Targmax - Variable in class org.tensorflow.op.nn.MaxPoolWithArgmax.Inputs: The Targmax attribute
Targs - Variable in class org.tensorflow.op.tpu.Execute.Inputs: The Targs attribute
Targs - Variable in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables.Inputs: The Targs attribute
Targs - Variable in class org.tensorflow.op.xla.XlaLaunch.Inputs: The Targs attribute
Targuments - Variable in class org.tensorflow.op.core.MapDefun.Inputs: A list of types.
Targuments - Variable in class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.experimental.MapDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.experimental.ScanDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.experimental.TakeWhileDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.FilterDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.FlatMapDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.InterleaveDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.MapDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: Types of the elements of `other_arguments`.
Targuments - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.ReduceDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.TakeWhileDataset.Inputs: The Targuments attribute
task(Integer) - Method in class org.tensorflow.DeviceSpec.Builder
task() - Method in class org.tensorflow.DeviceSpec
TASK_INDEX_FIELD_NUMBER - Static variable in class org.tensorflow.proto.distruntime.ServerDef
TaskDeviceFilters - Class in org.tensorflow.proto.distruntime: Defines the device filters for a remote task.
TaskDeviceFilters.Builder - Class in org.tensorflow.proto.distruntime: Defines the device filters for a remote task.
TaskDeviceFiltersOrBuilder - Interface in org.tensorflow.proto.distruntime
taskRefreshIntervalHintMs - Variable in class org.tensorflow.op.data.DataServiceDatasetV2.Inputs: The taskRefreshIntervalHintMs attribute
taskRefreshIntervalHintMs(Long) - Method in class org.tensorflow.op.data.DataServiceDatasetV2.Options: Sets the taskRefreshIntervalHintMs option.
taskRefreshIntervalHintMs(Long) - Static method in class org.tensorflow.op.data.DataServiceDatasetV2: Sets the taskRefreshIntervalHintMs option.
TASKS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.distruntime.JobDef
TASKS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.distruntime.JobDeviceFilters
Taxis - Variable in class org.tensorflow.op.core.Gather.Inputs: The Taxis attribute
Taxis - Variable in class org.tensorflow.op.core.Roll.Inputs: The Taxis attribute
Taxis - Variable in class org.tensorflow.op.core.Unique.Inputs: The Taxis attribute
Taxis - Variable in class org.tensorflow.op.core.UniqueWithCounts.Inputs: The Taxis attribute
Taxis - Variable in class org.tensorflow.op.risc.RiscGather.Inputs: The Taxis attribute
Tb - Variable in class org.tensorflow.op.sparse.SparseMatMul.Inputs: The Tb attribute
Tb - Variable in class org.tensorflow.op.train.BatchMatMul.Inputs: The Tb attribute
TBfloat16 - Interface in org.tensorflow.types: Brain 16-bit float tensor type.
TBfloat16Mapper - Class in org.tensorflow.internal.types: Maps memory of DataType.DT_BFLOAT16 tensors to a n-dimensional data space.
TBfloat16Mapper() - Constructor for class org.tensorflow.internal.types.TBfloat16Mapper
Tbias - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: The Tbias attribute
Tbias - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The Tbias attribute
Tbias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The Tbias attribute
Tbias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The Tbias attribute
Tbias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The Tbias attribute
Tbias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The Tbias attribute
Tbias - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The type of the bias.
Tbias - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The Tbias attribute
Tbias - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The Tbias attribute
TblockShape - Variable in class org.tensorflow.op.core.BatchToSpaceNd.Inputs: The TblockShape attribute
TblockShape - Variable in class org.tensorflow.op.core.SpaceToBatchNd.Inputs: The TblockShape attribute
TBool - Interface in org.tensorflow.types: Boolean tensor type.
TBoolMapper - Class in org.tensorflow.internal.types: Maps memory of DataType.DT_BOOL tensors to a n-dimensional data space.
TBoolMapper() - Constructor for class org.tensorflow.internal.types.TBoolMapper
Tcaptured - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: the types of the captured tensors.
Tcaptured - Variable in class org.tensorflow.op.core.MapDefun.Inputs: A list of types.
Tcomplex - Variable in class org.tensorflow.op.risc.RiscFft.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Fft.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Fft2d.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Fft3d.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Ifft.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Ifft2d.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Ifft3d.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Irfft.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Irfft2d.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Irfft3d.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Rfft.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Rfft2d.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Rfft3d.Inputs: The Tcomplex attribute
Tcomponents - Variable in class org.tensorflow.op.core.CompositeTensorVariantFromComponents.Inputs: The Tcomponents attribute
Tcomponents - Variable in class org.tensorflow.op.core.CompositeTensorVariantToComponents.Inputs: Expected dtypes for components.
Tcomponents - Variable in class org.tensorflow.op.io.QueueEnqueue.Inputs: The Tcomponents attribute
Tcomponents - Variable in class org.tensorflow.op.io.QueueEnqueueMany.Inputs: The Tcomponents attribute
Tcond - Variable in class org.tensorflow.op.core.StatefulIf.Inputs: The Tcond attribute
Tcond - Variable in class org.tensorflow.op.core.StatelessIf.Inputs: The Tcond attribute
Tcond - Variable in class org.tensorflow.op.xla.If.Inputs: The Tcond attribute
Tconstants - Variable in class org.tensorflow.op.xla.XlaLaunch.Inputs: The Tconstants attribute
TcontextDense - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: The TcontextDense attribute
TcontextDense - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: The TcontextDense attribute
Tcrops - Variable in class org.tensorflow.op.core.BatchToSpaceNd.Inputs: The Tcrops attribute
Tdense - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: A list of DTypes of the same length as `dense_keys`.
Tdense - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: A list of DTypes of the same length as `dense_keys`.
Tdense - Variable in class org.tensorflow.op.io.ParseExample.Inputs: The Tdense attribute
Tdense - Variable in class org.tensorflow.op.io.ParseSingleExample.Inputs: The data types of data in each Feature given in dense_keys.
Tdim - Variable in class org.tensorflow.op.core.ExpandDims.Inputs: The Tdim attribute
TEMP_MEMORY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpPerformance.OpMemory
TEMP_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MemoryStats
template - Variable in class org.tensorflow.op.strings.StringFormat.Inputs: A string, the template to format tensor summaries into.
template(String) - Method in class org.tensorflow.op.strings.StringFormat.Options: Sets the template option.
template(String) - Static method in class org.tensorflow.op.strings.StringFormat: Sets the template option.
TEMPORARY_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CostGraphDef.Node
TEMPORARY_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpPerformance
TemporaryVariable<T extends TType> - Class in org.tensorflow.op.core: Returns a tensor that may be mutated, but only persists within a single step.
TemporaryVariable(Operation) - Constructor for class org.tensorflow.op.core.TemporaryVariable
temporaryVariable(Shape, Class<T>, TemporaryVariable.Options...) - Method in class org.tensorflow.op.Ops: Returns a tensor that may be mutated, but only persists within a single step.
TemporaryVariable.Inputs - Class in org.tensorflow.op.core
TemporaryVariable.Options - Class in org.tensorflow.op.core: Optional attributes for TemporaryVariable
tensor - Variable in class org.tensorflow.internal.c_api.AbstractTFE_TensorHandle: A reference to prevent deallocation.
Tensor - Class in org.tensorflow.internal.c_api
Tensor() - Constructor for class org.tensorflow.internal.c_api.Tensor: Empty constructor.
Tensor(Pointer) - Constructor for class org.tensorflow.internal.c_api.Tensor: Pointer cast constructor.
tensor() - Method in class org.tensorflow.op.core.ImmutableConst: Gets tensor.
tensor - Variable in class org.tensorflow.op.core.QuantizedReshape.Inputs: The tensor input
tensor() - Method in class org.tensorflow.op.core.Recv: Gets tensor.
tensor - Variable in class org.tensorflow.op.core.Reshape.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.core.Reverse.Inputs: Up to 8-D.
tensor - Variable in class org.tensorflow.op.core.Send.Inputs: The tensor to send.
tensor() - Method in class org.tensorflow.op.core.TensorListConcat: Gets tensor.
tensor - Variable in class org.tensorflow.op.core.TensorListFromTensor.Inputs: The tensor input
tensor() - Method in class org.tensorflow.op.core.TensorListPopBack: Gets tensor.
tensor - Variable in class org.tensorflow.op.core.TensorListPushBack.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.core.TensorListPushBackBatch.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.core.TensorListScatter.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.core.TensorListScatterIntoExistingList.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.core.TensorListSplit.Inputs: The tensor input
tensor() - Method in class org.tensorflow.op.core.TensorListStack: Gets tensor.
tensor - Variable in class org.tensorflow.op.core.TensorScatterNdAdd.Inputs: Tensor to copy/update.
tensor - Variable in class org.tensorflow.op.core.TensorScatterNdMax.Inputs: Tensor to update.
tensor - Variable in class org.tensorflow.op.core.TensorScatterNdMin.Inputs: Tensor to update.
tensor - Variable in class org.tensorflow.op.core.TensorScatterNdSub.Inputs: Tensor to copy/update.
tensor - Variable in class org.tensorflow.op.core.TensorScatterNdUpdate.Inputs: Tensor to copy/update.
tensor - Variable in class org.tensorflow.op.debugging.CheckNumerics.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.io.SerializeTensor.Inputs: A Tensor of type T.
tensor - Variable in class org.tensorflow.op.risc.RiscReduce.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.risc.RiscReshape.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.risc.RiscReverse.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.summary.AudioSummary.Inputs: 2-D of shape [batch_size, frames].
tensor - Variable in class org.tensorflow.op.summary.ImageSummary.Inputs: 4-D of shape [batch_size, height, width, channels] where channels is 1, 3, or 4.
tensor - Variable in class org.tensorflow.op.summary.TensorSummary.Inputs: A tensor to serialize.
tensor - Variable in class org.tensorflow.op.summary.WriteAudioSummary.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.summary.WriteGraphSummary.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.summary.WriteImageSummary.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.summary.WriteRawProtoSummary.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.summary.WriteSummary.Inputs: The tensor input
tensor() - Method in class org.tensorflow.op.train.RestoreSlice: Gets tensor.
tensor() - Method in class org.tensorflow.op.xla.Recv: Gets tensor.
tensor - Variable in class org.tensorflow.op.xla.Send.Inputs: The tensor to send.
Tensor - Interface in org.tensorflow: A statically typed multi-dimensional array.
TENSOR_ARRAY_SPEC_VALUE - Static variable in enum org.tensorflow.proto.framework.TypeSpecProto.TypeSpecClass: tf.TensorArraySpec
TENSOR_CONNECTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CallableOptions
TENSOR_CONTENT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
TENSOR_CONTENT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorProto
TENSOR_DEBUG_MODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.Execution
TENSOR_DEBUG_MODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.GraphExecutionTrace
TENSOR_DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NodeOutput
TENSOR_DTYPE_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.StructuredValue
TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.SnapshotRecord
TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AttrValue.ListValue
TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AttrValue
TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MemoryLogTensorOutput
TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NamedTensorProto
TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.Summary.Value
TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.SavedTensorSliceMeta
TENSOR_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AssetFileDef
TENSOR_METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
TENSOR_PROTO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.GraphExecutionTrace
TENSOR_PROTOS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.Execution
TENSOR_SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.TensorMetadata
TENSOR_SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorInfo
TENSOR_SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorProto
TENSOR_SHAPE_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.StructuredValue
TENSOR_SIZE_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.TensorMetadata
TENSOR_SPEC_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.StructuredValue
TensorArray - Class in org.tensorflow.op.core: An array of Tensors of given size.
TensorArray(Operation) - Constructor for class org.tensorflow.op.core.TensorArray
tensorArray(Operand<TInt32>, Class<T>, TensorArray.Options...) - Method in class org.tensorflow.op.Ops: An array of Tensors of given size.
TensorArray.Inputs - Class in org.tensorflow.op.core
TensorArray.Options - Class in org.tensorflow.op.core: Optional attributes for TensorArray
TensorArrayClose - Class in org.tensorflow.op.core: Delete the TensorArray from its resource container.
TensorArrayClose(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayClose
tensorArrayClose(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Delete the TensorArray from its resource container.
TensorArrayClose.Inputs - Class in org.tensorflow.op.core
TensorArrayConcat<T extends TType> - Class in org.tensorflow.op.core: Concat the elements from the TensorArray into value value.
TensorArrayConcat(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayConcat
tensorArrayConcat(Operand<? extends TType>, Operand<TFloat32>, Class<T>, TensorArrayConcat.Options...) - Method in class org.tensorflow.op.Ops: Concat the elements from the TensorArray into value value.
TensorArrayConcat.Inputs - Class in org.tensorflow.op.core
TensorArrayConcat.Options - Class in org.tensorflow.op.core: Optional attributes for TensorArrayConcat
TensorArrayGather<T extends TType> - Class in org.tensorflow.op.core: Gather specific elements from the TensorArray into output value.
TensorArrayGather(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayGather
tensorArrayGather(Operand<? extends TType>, Operand<TInt32>, Operand<TFloat32>, Class<T>, TensorArrayGather.Options...) - Method in class org.tensorflow.op.Ops: Gather specific elements from the TensorArray into output value.
TensorArrayGather.Inputs - Class in org.tensorflow.op.core
TensorArrayGather.Options - Class in org.tensorflow.op.core: Optional attributes for TensorArrayGather
TensorArrayGrad - Class in org.tensorflow.op.core: Creates a TensorArray for storing the gradients of values in the given handle.
TensorArrayGrad(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayGrad
tensorArrayGrad(Operand<? extends TType>, Operand<TFloat32>, String) - Method in class org.tensorflow.op.Ops: Creates a TensorArray for storing the gradients of values in the given handle.
TensorArrayGrad.Inputs - Class in org.tensorflow.op.core
TensorArrayGradWithShape - Class in org.tensorflow.op.core: Creates a TensorArray for storing multiple gradients of values in the given handle.
TensorArrayGradWithShape(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayGradWithShape
tensorArrayGradWithShape(Operand<? extends TType>, Operand<TFloat32>, Operand<TInt32>, String) - Method in class org.tensorflow.op.Ops: Creates a TensorArray for storing multiple gradients of values in the given handle.
TensorArrayGradWithShape.Inputs - Class in org.tensorflow.op.core
tensorArrayName - Variable in class org.tensorflow.op.core.TensorArray.Inputs: Overrides the name used for the temporary tensor_array resource.
tensorArrayName(String) - Method in class org.tensorflow.op.core.TensorArray.Options: Sets the tensorArrayName option.
tensorArrayName(String) - Static method in class org.tensorflow.op.core.TensorArray: Sets the tensorArrayName option.
TensorArrayPack<T extends TType> - Class in org.tensorflow.op.core: The TensorArrayPack operation
TensorArrayPack(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayPack
tensorArrayPack(Operand<TString>, Operand<TFloat32>, Class<T>, TensorArrayPack.Options...) - Method in class org.tensorflow.op.Ops: The TensorArrayPack operation
TensorArrayPack.Inputs - Class in org.tensorflow.op.core
TensorArrayPack.Options - Class in org.tensorflow.op.core: Optional attributes for TensorArrayPack
TensorArrayRead<T extends TType> - Class in org.tensorflow.op.core: Read an element from the TensorArray into output value.
TensorArrayRead(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayRead
tensorArrayRead(Operand<? extends TType>, Operand<TInt32>, Operand<TFloat32>, Class<T>) - Method in class org.tensorflow.op.Ops: Read an element from the TensorArray into output value.
TensorArrayRead.Inputs - Class in org.tensorflow.op.core
TensorArrayScatter - Class in org.tensorflow.op.core: Scatter the data from the input value into specific TensorArray elements.
TensorArrayScatter(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayScatter
tensorArrayScatter(Operand<? extends TType>, Operand<TInt32>, Operand<? extends TType>, Operand<TFloat32>) - Method in class org.tensorflow.op.Ops: Scatter the data from the input value into specific TensorArray elements.
TensorArrayScatter.Inputs - Class in org.tensorflow.op.core
TensorArraySize - Class in org.tensorflow.op.core: Get the current size of the TensorArray.
TensorArraySize(Operation) - Constructor for class org.tensorflow.op.core.TensorArraySize
tensorArraySize(Operand<? extends TType>, Operand<TFloat32>) - Method in class org.tensorflow.op.Ops: Get the current size of the TensorArray.
TensorArraySize.Inputs - Class in org.tensorflow.op.core
TensorArraySplit - Class in org.tensorflow.op.core: Split the data from the input value into TensorArray elements.
TensorArraySplit(Operation) - Constructor for class org.tensorflow.op.core.TensorArraySplit
tensorArraySplit(Operand<? extends TType>, Operand<? extends TType>, Operand<TInt64>, Operand<TFloat32>) - Method in class org.tensorflow.op.Ops: Split the data from the input value into TensorArray elements.
TensorArraySplit.Inputs - Class in org.tensorflow.op.core
TensorArrayUnpack - Class in org.tensorflow.op.core: The TensorArrayUnpack operation
TensorArrayUnpack(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayUnpack
tensorArrayUnpack(Operand<TString>, Operand<? extends TType>, Operand<TFloat32>) - Method in class org.tensorflow.op.Ops: The TensorArrayUnpack operation
TensorArrayUnpack.Inputs - Class in org.tensorflow.op.core
TensorArrayWrite - Class in org.tensorflow.op.core: Push an element onto the tensor_array.
TensorArrayWrite(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayWrite
tensorArrayWrite(Operand<? extends TType>, Operand<TInt32>, Operand<? extends TType>, Operand<TFloat32>) - Method in class org.tensorflow.op.Ops: Push an element onto the tensor_array.
TensorArrayWrite.Inputs - Class in org.tensorflow.op.core
TensorBuffers - Class in org.tensorflow.internal.buffer: Maps native tensor memory into DataBuffers, allowing I/O operations from the JVM.
TensorBuffers() - Constructor for class org.tensorflow.internal.buffer.TensorBuffers
TensorBundleProtos - Class in org.tensorflow.proto.util
TensorConnection - Class in org.tensorflow.proto.framework: Defines a connection between two tensors in a `GraphDef`.
TensorConnection.Builder - Class in org.tensorflow.proto.framework: Defines a connection between two tensors in a `GraphDef`.
TensorConnectionOrBuilder - Interface in org.tensorflow.proto.framework
TensorDataset - Class in org.tensorflow.op.data: Creates a dataset that emits components as a tuple of tensors once.
TensorDataset(Operation) - Constructor for class org.tensorflow.op.data.TensorDataset
tensorDataset(Iterable<Operand<?>>, List<Shape>, TensorDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that emits components as a tuple of tensors once.
TensorDataset.Inputs - Class in org.tensorflow.op.data
TensorDataset.Options - Class in org.tensorflow.op.data: Optional attributes for TensorDataset
tensorDebugMode - Variable in class org.tensorflow.op.debugging.DebugIdentity.Inputs: TensorDebugMode enum value.
tensorDebugMode(Long) - Method in class org.tensorflow.op.debugging.DebugIdentity.Options: Sets the tensorDebugMode option.
tensorDebugMode(Long) - Static method in class org.tensorflow.op.debugging.DebugIdentity: Sets the tensorDebugMode option.
tensorDebugMode - Variable in class org.tensorflow.op.debugging.DebugNumericsSummary.Inputs: Tensor debug mode: the mode in which the input tensor is summarized by the op.
tensorDebugMode(Long) - Method in class org.tensorflow.op.debugging.DebugNumericsSummary.Options: Sets the tensorDebugMode option.
tensorDebugMode(Long) - Static method in class org.tensorflow.op.debugging.DebugNumericsSummary: Sets the tensorDebugMode option.
TensorDebugMode - Enum in org.tensorflow.proto.util: Available modes for extracting debugging information from a Tensor.
TensorDescription - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.TensorDescription
TensorDescription(DataType, Shape, String) - Constructor for class org.tensorflow.Signature.TensorDescription
TensorDescription.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.TensorDescription
TensorDescriptionOrBuilder - Interface in org.tensorflow.proto.framework
TensorDescriptionProtos - Class in org.tensorflow.proto.framework
TensorDiag<T extends TType> - Class in org.tensorflow.op.linalg: Returns a diagonal tensor with a given diagonal values.
TensorDiag(Operation) - Constructor for class org.tensorflow.op.linalg.TensorDiag
tensorDiag(Operand<T>) - Method in class org.tensorflow.op.LinalgOps: Returns a diagonal tensor with a given diagonal values.
TensorDiag.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
TensorDiagPart<T extends TType> - Class in org.tensorflow.op.linalg: Returns the diagonal part of the tensor.
TensorDiagPart(Operation) - Constructor for class org.tensorflow.op.linalg.TensorDiagPart
tensorDiagPart(Operand<T>) - Method in class org.tensorflow.op.LinalgOps: Returns the diagonal part of the tensor.
TensorDiagPart.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
tensorflow - Class in org.tensorflow.internal.c_api.global
tensorflow() - Constructor for class org.tensorflow.internal.c_api.global.tensorflow
tensorflow - Class in org.tensorflow.internal.c_api.presets
tensorflow() - Constructor for class org.tensorflow.internal.c_api.presets.tensorflow
TensorFlow - Class in org.tensorflow: Static utility methods describing the TensorFlow runtime.
tensorflow.Span - Annotation Type in org.tensorflow.internal.c_api.presets
TENSORFLOW_GIT_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
TENSORFLOW_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
TENSORFLOW_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.DebugMetadata
TensorFlowException - Exception in org.tensorflow.exceptions: Unchecked exception thrown by TensorFlow core classes
TensorFlowException(String) - Constructor for exception org.tensorflow.exceptions.TensorFlowException
TensorFlowException(String, Throwable) - Constructor for exception org.tensorflow.exceptions.TensorFlowException
TensorFunction - Interface in org.tensorflow: A function that can be called with tensors.
tensorId - Variable in class org.tensorflow.op.debugging.DebugNumericsSummary.Inputs: Optional.
tensorId(Long) - Method in class org.tensorflow.op.debugging.DebugNumericsSummary.Options: Sets the tensorId option.
tensorId(Long) - Static method in class org.tensorflow.op.debugging.DebugNumericsSummary: Sets the tensorId option.
TensorInfo - Class in org.tensorflow.proto.framework: Information about a Tensor necessary for feeding or retrieval.
TensorInfo.Builder - Class in org.tensorflow.proto.framework: Information about a Tensor necessary for feeding or retrieval.
TensorInfo.CompositeTensor - Class in org.tensorflow.proto.framework: Generic encoding for composite tensors.
TensorInfo.CompositeTensor.Builder - Class in org.tensorflow.proto.framework: Generic encoding for composite tensors.
TensorInfo.CompositeTensorOrBuilder - Interface in org.tensorflow.proto.framework
TensorInfo.CooSparse - Class in org.tensorflow.proto.framework: For sparse tensors, The COO encoding stores a triple of values, indices, and shape.
TensorInfo.CooSparse.Builder - Class in org.tensorflow.proto.framework: For sparse tensors, The COO encoding stores a triple of values, indices, and shape.
TensorInfo.CooSparseOrBuilder - Interface in org.tensorflow.proto.framework
TensorInfo.EncodingCase - Enum in org.tensorflow.proto.framework
TensorInfoOrBuilder - Interface in org.tensorflow.proto.framework
TensorListConcat - Class in org.tensorflow.op.core: Concats all tensors in the list along the 0th dimension.
TensorListConcat(Operation) - Constructor for class org.tensorflow.op.core.TensorListConcat
tensorListConcat(Operand<? extends TType>, Operand<? extends TNumber>, Operand<TInt64>, Class) - Method in class org.tensorflow.op.Ops: Concats all tensors in the list along the 0th dimension.
TensorListConcat.Inputs - Class in org.tensorflow.op.core
TensorListConcatLists - Class in org.tensorflow.op.core: The TensorListConcatLists operation
TensorListConcatLists(Operation) - Constructor for class org.tensorflow.op.core.TensorListConcatLists
tensorListConcatLists(Operand<? extends TType>, Operand<? extends TType>, Class<T>) - Method in class org.tensorflow.op.Ops: The TensorListConcatLists operation
TensorListConcatLists.Inputs - Class in org.tensorflow.op.core
TensorListElementShape<T extends TNumber> - Class in org.tensorflow.op.core: The shape of the elements of the given list, as a tensor.
TensorListElementShape(Operation) - Constructor for class org.tensorflow.op.core.TensorListElementShape
tensorListElementShape(Operand<? extends TType>, Class<T>) - Method in class org.tensorflow.op.Ops: The shape of the elements of the given list, as a tensor.
TensorListElementShape.Inputs - Class in org.tensorflow.op.core
TensorListFromTensor - Class in org.tensorflow.op.core: Creates a TensorList which, when stacked, has the value of tensor.
TensorListFromTensor(Operation) - Constructor for class org.tensorflow.op.core.TensorListFromTensor
tensorListFromTensor(Operand<? extends TType>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.Ops: Creates a TensorList which, when stacked, has the value of tensor.
TensorListFromTensor.Inputs - Class in org.tensorflow.op.core
TensorListGather<T extends TType> - Class in org.tensorflow.op.core: Creates a Tensor by indexing into the TensorList.
TensorListGather(Operation) - Constructor for class org.tensorflow.op.core.TensorListGather
tensorListGather(Operand<? extends TType>, Operand<TInt32>, Operand<TInt32>, Class<T>) - Method in class org.tensorflow.op.Ops: Creates a Tensor by indexing into the TensorList.
TensorListGather.Inputs - Class in org.tensorflow.op.core
TensorListGetItem<T extends TType> - Class in org.tensorflow.op.core: The TensorListGetItem operation
TensorListGetItem(Operation) - Constructor for class org.tensorflow.op.core.TensorListGetItem
tensorListGetItem(Operand<? extends TType>, Operand<TInt32>, Operand<TInt32>, Class<T>) - Method in class org.tensorflow.op.Ops: The TensorListGetItem operation
TensorListGetItem.Inputs - Class in org.tensorflow.op.core
TensorListLength - Class in org.tensorflow.op.core: Returns the number of tensors in the input tensor list.
TensorListLength(Operation) - Constructor for class org.tensorflow.op.core.TensorListLength
tensorListLength(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Returns the number of tensors in the input tensor list.
TensorListLength.Inputs - Class in org.tensorflow.op.core
TensorListPopBack<T extends TType> - Class in org.tensorflow.op.core: Returns the last element of the input list as well as a list with all but that element.
TensorListPopBack(Operation) - Constructor for class org.tensorflow.op.core.TensorListPopBack
tensorListPopBack(Operand<? extends TType>, Operand<TInt32>, Class<T>) - Method in class org.tensorflow.op.Ops: Returns the last element of the input list as well as a list with all but that element.
TensorListPopBack.Inputs - Class in org.tensorflow.op.core
TensorListPushBack - Class in org.tensorflow.op.core: Returns a list which has the passed-in Tensor as last element and the other elements of the given list in input_handle.
TensorListPushBack(Operation) - Constructor for class org.tensorflow.op.core.TensorListPushBack
tensorListPushBack(Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Returns a list which has the passed-in Tensor as last element and the other elements of the given list in input_handle.
TensorListPushBack.Inputs - Class in org.tensorflow.op.core
TensorListPushBackBatch - Class in org.tensorflow.op.core: The TensorListPushBackBatch operation
TensorListPushBackBatch(Operation) - Constructor for class org.tensorflow.op.core.TensorListPushBackBatch
tensorListPushBackBatch(Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: The TensorListPushBackBatch operation
TensorListPushBackBatch.Inputs - Class in org.tensorflow.op.core
TensorListReserve - Class in org.tensorflow.op.core: List of the given size with empty elements.
TensorListReserve(Operation) - Constructor for class org.tensorflow.op.core.TensorListReserve
tensorListReserve(Operand<? extends TNumber>, Operand<TInt32>, Class) - Method in class org.tensorflow.op.Ops: List of the given size with empty elements.
TensorListReserve.Inputs - Class in org.tensorflow.op.core
TensorListResize - Class in org.tensorflow.op.core: Resizes the list.
TensorListResize(Operation) - Constructor for class org.tensorflow.op.core.TensorListResize
tensorListResize(Operand<? extends TType>, Operand<TInt32>) - Method in class org.tensorflow.op.Ops: Resizes the list.
TensorListResize.Inputs - Class in org.tensorflow.op.core
TensorListScatter - Class in org.tensorflow.op.core: Creates a TensorList by indexing into a Tensor.
TensorListScatter(Operation) - Constructor for class org.tensorflow.op.core.TensorListScatter
tensorListScatter(Operand<? extends TType>, Operand<TInt32>, Operand<? extends TNumber>, Operand<TInt32>) - Method in class org.tensorflow.op.Ops: Creates a TensorList by indexing into a Tensor.
TensorListScatter.Inputs - Class in org.tensorflow.op.core
TensorListScatterIntoExistingList - Class in org.tensorflow.op.core: Scatters tensor at indices in an input list.
TensorListScatterIntoExistingList(Operation) - Constructor for class org.tensorflow.op.core.TensorListScatterIntoExistingList
tensorListScatterIntoExistingList(Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>) - Method in class org.tensorflow.op.Ops: Scatters tensor at indices in an input list.
TensorListScatterIntoExistingList.Inputs - Class in org.tensorflow.op.core
TensorListSetItem - Class in org.tensorflow.op.core: The TensorListSetItem operation
TensorListSetItem(Operation) - Constructor for class org.tensorflow.op.core.TensorListSetItem
tensorListSetItem(Operand<? extends TType>, Operand<TInt32>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: The TensorListSetItem operation
TensorListSetItem.Inputs - Class in org.tensorflow.op.core
TensorListSplit - Class in org.tensorflow.op.core: Splits a tensor into a list.
TensorListSplit(Operation) - Constructor for class org.tensorflow.op.core.TensorListSplit
tensorListSplit(Operand<? extends TType>, Operand<? extends TNumber>, Operand<TInt64>) - Method in class org.tensorflow.op.Ops: Splits a tensor into a list.
TensorListSplit.Inputs - Class in org.tensorflow.op.core
TensorListStack<T extends TType> - Class in org.tensorflow.op.core: Stacks all tensors in the list.
TensorListStack(Operation) - Constructor for class org.tensorflow.op.core.TensorListStack
tensorListStack(Operand<? extends TType>, Operand<TInt32>, Class<T>, TensorListStack.Options...) - Method in class org.tensorflow.op.Ops: Stacks all tensors in the list.
TensorListStack.Inputs - Class in org.tensorflow.op.core
TensorListStack.Options - Class in org.tensorflow.op.core: Optional attributes for TensorListStack
TensorMapErase - Class in org.tensorflow.op.core: Returns a tensor map with item from given key erased.
TensorMapErase(Operation) - Constructor for class org.tensorflow.op.core.TensorMapErase
tensorMapErase(Operand<? extends TType>, Operand<? extends TType>, Class) - Method in class org.tensorflow.op.Ops: Returns a tensor map with item from given key erased.
TensorMapErase.Inputs - Class in org.tensorflow.op.core
TensorMapHasKey - Class in org.tensorflow.op.core: Returns whether the given key exists in the map.
TensorMapHasKey(Operation) - Constructor for class org.tensorflow.op.core.TensorMapHasKey
tensorMapHasKey(Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Returns whether the given key exists in the map.
TensorMapHasKey.Inputs - Class in org.tensorflow.op.core
TensorMapInsert - Class in org.tensorflow.op.core: Returns a map that is the 'input_handle' with the given key-value pair inserted.
TensorMapInsert(Operation) - Constructor for class org.tensorflow.op.core.TensorMapInsert
tensorMapInsert(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Returns a map that is the 'input_handle' with the given key-value pair inserted.
TensorMapInsert.Inputs - Class in org.tensorflow.op.core
TensorMapLookup - Class in org.tensorflow.op.core: Returns the value from a given key in a tensor map.
TensorMapLookup(Operation) - Constructor for class org.tensorflow.op.core.TensorMapLookup
tensorMapLookup(Operand<? extends TType>, Operand<? extends TType>, Class) - Method in class org.tensorflow.op.Ops: Returns the value from a given key in a tensor map.
TensorMapLookup.Inputs - Class in org.tensorflow.op.core
TensorMapper<T extends TType> - Class in org.tensorflow: Maps the native memory of a RawTensor to a n-dimensional typed data space accessible from the JVM.
TensorMapper() - Constructor for class org.tensorflow.TensorMapper
TensorMapSize - Class in org.tensorflow.op.core: Returns the number of tensors in the input tensor map.
TensorMapSize(Operation) - Constructor for class org.tensorflow.op.core.TensorMapSize
tensorMapSize(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Returns the number of tensors in the input tensor map.
TensorMapSize.Inputs - Class in org.tensorflow.op.core
TensorMapStackKeys<T extends TType> - Class in org.tensorflow.op.core: Returns a Tensor stack of all keys in a tensor map.
TensorMapStackKeys(Operation) - Constructor for class org.tensorflow.op.core.TensorMapStackKeys
tensorMapStackKeys(Operand<? extends TType>, Class<T>) - Method in class org.tensorflow.op.Ops: Returns a Tensor stack of all keys in a tensor map.
TensorMapStackKeys.Inputs - Class in org.tensorflow.op.core
TensorMetadata - Class in org.tensorflow.proto.data.experimental: Metadata for a single tensor in the Snapshot Record.
TensorMetadata.Builder - Class in org.tensorflow.proto.data.experimental: Metadata for a single tensor in the Snapshot Record.
TensorMetadataOrBuilder - Interface in org.tensorflow.proto.data.experimental
tensorName - Variable in class org.tensorflow.op.core.Copy.Inputs: The name of the input tensor.
tensorName(String) - Method in class org.tensorflow.op.core.Copy.Options: Sets the tensorName option.
tensorName(String) - Static method in class org.tensorflow.op.core.Copy: Sets the tensorName option.
tensorName - Variable in class org.tensorflow.op.core.CopyHost.Inputs: The name of the input tensor.
tensorName(String) - Method in class org.tensorflow.op.core.CopyHost.Options: Sets the tensorName option.
tensorName(String) - Static method in class org.tensorflow.op.core.CopyHost: Sets the tensorName option.
tensorName - Variable in class org.tensorflow.op.core.Recv.Inputs: The name of the tensor to receive.
tensorName - Variable in class org.tensorflow.op.core.Send.Inputs: The name of the tensor to send.
tensorName - Variable in class org.tensorflow.op.debugging.DebugNanCount.Inputs: Name of the input tensor.
tensorName(String) - Method in class org.tensorflow.op.debugging.DebugNanCount.Options: Sets the tensorName option.
tensorName(String) - Static method in class org.tensorflow.op.debugging.DebugNanCount: Sets the tensorName option.
tensorName - Variable in class org.tensorflow.op.train.RestoreSlice.Inputs: Must have a single element.
tensorName - Variable in class org.tensorflow.op.xla.Recv.Inputs: A string key that identifies the channel.
tensorName - Variable in class org.tensorflow.op.xla.Send.Inputs: A string key that identifies the channel.
tensorNames - Variable in class org.tensorflow.op.train.Restore.Inputs: shape {N}.
tensorNames - Variable in class org.tensorflow.op.train.Save.Inputs: shape {N}.
tensorNames - Variable in class org.tensorflow.op.train.SaveSlices.Inputs: Shape [N].
tensorOf(Scope, int[][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-2 constant of int elements.
tensorOf(Scope, int[][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-3 constant of int elements.
tensorOf(Scope, int[][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-4 constant of int elements.
tensorOf(Scope, int[][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-5 constant of int elements.
tensorOf(Scope, int[][][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-6 constant of int elements.
tensorOf(Scope, IntNdArray) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of int elements that is a copy of a given n-dimensional array.
tensorOf(Scope, Shape, IntDataBuffer) - Static method in class org.tensorflow.op.core.Constant: Create a TInt32 constant with data from the given buffer.
tensorOf(Scope, float[][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-2 constant of float elements.
tensorOf(Scope, float[][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-3 constant of float elements.
tensorOf(Scope, float[][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-4 constant of float elements.
tensorOf(Scope, float[][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-5 constant of float elements.
tensorOf(Scope, float[][][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-6 constant of float elements.
tensorOf(Scope, FloatNdArray) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of float elements that is a copy of a given n-dimensional array.
tensorOf(Scope, Shape, FloatDataBuffer) - Static method in class org.tensorflow.op.core.Constant: Create a TFloat32 constant with data from the given buffer.
tensorOf(Scope, double[][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-2 constant of double elements.
tensorOf(Scope, double[][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-3 constant of double elements.
tensorOf(Scope, double[][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-4 constant of double elements.
tensorOf(Scope, double[][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-5 constant of double elements.
tensorOf(Scope, double[][][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-6 constant of double elements.
tensorOf(Scope, DoubleNdArray) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of double elements that is a copy of a given n-dimensional array.
tensorOf(Scope, Shape, DoubleDataBuffer) - Static method in class org.tensorflow.op.core.Constant: Create a TFloat64 constant with data from the given buffer.
tensorOf(Scope, long[][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-2 constant of long elements.
tensorOf(Scope, long[][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-3 constant of long elements.
tensorOf(Scope, long[][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-4 constant of long elements.
tensorOf(Scope, long[][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-5 constant of long elements.
tensorOf(Scope, long[][][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-6 constant of long elements.
tensorOf(Scope, LongNdArray) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of long elements that is a copy of a given n-dimensional array.
tensorOf(Scope, Shape, LongDataBuffer) - Static method in class org.tensorflow.op.core.Constant: Create a TInt64 constant with data from the given buffer.
tensorOf(Scope, boolean[][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-2 constant of boolean elements.
tensorOf(Scope, boolean[][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-3 constant of boolean elements.
tensorOf(Scope, boolean[][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-4 constant of boolean elements.
tensorOf(Scope, boolean[][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-5 constant of boolean elements.
tensorOf(Scope, boolean[][][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-6 constant of boolean elements.
tensorOf(Scope, BooleanNdArray) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of boolean elements that is a copy of a given n-dimensional array.
tensorOf(Scope, Shape, BooleanDataBuffer) - Static method in class org.tensorflow.op.core.Constant: Create a TBool constant with data from the given buffer.
tensorOf(Scope, byte[][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-2 constant of byte elements.
tensorOf(Scope, byte[][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-3 constant of byte elements.
tensorOf(Scope, byte[][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-4 constant of byte elements.
tensorOf(Scope, byte[][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-5 constant of byte elements.
tensorOf(Scope, byte[][][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-6 constant of byte elements.
tensorOf(Scope, ByteNdArray) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of byte elements that is a copy of a given n-dimensional array.
tensorOf(Scope, Shape, ByteDataBuffer) - Static method in class org.tensorflow.op.core.Constant: Create a TUint8 constant with data from the given buffer.
tensorOf(Scope, Class<T>, Shape, ByteDataBuffer) - Static method in class org.tensorflow.op.core.Constant: Create a constant with data from the given buffer.
tensorOf(Scope, String[][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-2 constant of String elements, using default UTF-8 encoding.
tensorOf(Scope, String[][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-3 constant of String elements, using default UTF-8 encoding.
tensorOf(Scope, String[][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-4 constant of String elements, using default UTF-8 encoding.
tensorOf(Scope, String[][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-5 constant of String elements, using default UTF-8 encoding.
tensorOf(Scope, String[][][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-6 constant of String elements, using default UTF-8 encoding.
tensorOf(Scope, NdArray<String>) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of String elements that is a copy of a given n-dimensional array, using the default UTF-8 encoding.
tensorOf(Scope, Charset, NdArray<String>) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of String elements that is a copy of a given n-dimensional array, using the given encoding.
tensorOf(Scope, Shape, DataBuffer<String>) - Static method in class org.tensorflow.op.core.Constant: Create a TString constant with data from the given buffer, using the default UTF-8 encoding.
tensorOf(Scope, Charset, Shape, DataBuffer<String>) - Static method in class org.tensorflow.op.core.Constant: Create a TString constant with data from the given buffer, using the given encoding.
tensorOf(Scope, Shape) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-1 constant of long elements representing the size of each dimensions of the given shape.
tensorOf(Scope, Class<T>, Number) - Static method in class org.tensorflow.op.core.Constant: Creates a scalar of type, with the value of number.
tensorOf(NdArray<Float>) - Static method in interface org.tensorflow.types.TBfloat16: Allocates a new tensor which is a copy of a given array of floats.
tensorOf(Shape) - Static method in interface org.tensorflow.types.TBfloat16: Allocates a new tensor of the given shape.
tensorOf(Shape, FloatDataBuffer) - Static method in interface org.tensorflow.types.TBfloat16: Allocates a new tensor of the given shape, initialized with the provided data.
tensorOf(Shape, Consumer<TBfloat16>) - Static method in interface org.tensorflow.types.TBfloat16: Allocates a new tensor of the given shape and initialize its data.
tensorOf(NdArray<Boolean>) - Static method in interface org.tensorflow.types.TBool: Allocates a new tensor which is a copy of a given array of booleans.
tensorOf(Shape) - Static method in interface org.tensorflow.types.TBool: Allocates a new tensor of the given shape.
tensorOf(Shape, BooleanDataBuffer) - Static method in interface org.tensorflow.types.TBool: Allocates a new tensor of the given shape, initialized with the provided data.
tensorOf(Shape, Consumer<TBool>) - Static method in interface org.tensorflow.types.TBool: Allocates a new tensor of the given shape and initialize its data.
tensorOf(NdArray<Float>) - Static method in interface org.tensorflow.types.TFloat16: Allocates a new tensor which is a copy of a given array of floats.
tensorOf(Shape) - Static method in interface org.tensorflow.types.TFloat16: Allocates a new tensor of the given shape.
tensorOf(Shape, FloatDataBuffer) - Static method in interface org.tensorflow.types.TFloat16: Allocates a new tensor of the given shape, initialized with the provided data.
tensorOf(Shape, Consumer<TFloat16>) - Static method in interface org.tensorflow.types.TFloat16: Allocates a new tensor of the given shape and initialize its data.
tensorOf(NdArray<Float>) - Static method in interface org.tensorflow.types.TFloat32: Allocates a new tensor which is a copy of a given array of floats.
tensorOf(Shape) - Static method in interface org.tensorflow.types.TFloat32: Allocates a new tensor of the given shape.
tensorOf(Shape, FloatDataBuffer) - Static method in interface org.tensorflow.types.TFloat32: Allocates a new tensor of the given shape, initialized with the provided data.
tensorOf(Shape, Consumer<TFloat32>) - Static method in interface org.tensorflow.types.TFloat32: Allocates a new tensor of the given shape and initialize its data.
tensorOf(NdArray<Double>) - Static method in interface org.tensorflow.types.TFloat64: Allocates a new tensor which is a copy of a given array of doubles.
tensorOf(Shape) - Static method in interface org.tensorflow.types.TFloat64: Allocates a new tensor of the given shape.
tensorOf(Shape, DoubleDataBuffer) - Static method in interface org.tensorflow.types.TFloat64: Allocates a new tensor of the given shape, initialized with the provided data.
tensorOf(Shape, Consumer<TFloat64>) - Static method in interface org.tensorflow.types.TFloat64: Allocates a new tensor of the given shape and initialize its data.
tensorOf(NdArray<Integer>) - Static method in interface org.tensorflow.types.TInt32: Allocates a new tensor which is a copy of a given array of ints.
tensorOf(Shape) - Static method in interface org.tensorflow.types.TInt32: Allocates a new tensor of the given shape.
tensorOf(Shape, IntDataBuffer) - Static method in interface org.tensorflow.types.TInt32: Allocates a new tensor of the given shape, initialized with the provided data.
tensorOf(Shape, Consumer<TInt32>) - Static method in interface org.tensorflow.types.TInt32: Allocates a new tensor of the given shape and initialize its data.
tensorOf(NdArray<Long>) - Static method in interface org.tensorflow.types.TInt64: Allocates a new tensor which is a copy of a given array of longs.
tensorOf(Shape) - Static method in interface org.tensorflow.types.TInt64: Allocates a new tensor of the given shape.
tensorOf(Shape, LongDataBuffer) - Static method in interface org.tensorflow.types.TInt64: Allocates a new tensor of the given shape, initialized with the provided data.
tensorOf(Shape, Consumer<TInt64>) - Static method in interface org.tensorflow.types.TInt64: Allocates a new tensor of the given shape and initialize its data.
tensorOf(NdArray<String>) - Static method in interface org.tensorflow.types.TString: Allocates a new tensor which is a copy of a given array.
tensorOf(Charset, NdArray<String>) - Static method in interface org.tensorflow.types.TString: Allocates a new tensor which is a copy of a given array.
tensorOf(Shape, DataBuffer<String>) - Static method in interface org.tensorflow.types.TString: Allocates a new tensor with the given shape and data.
tensorOf(Charset, Shape, DataBuffer<String>) - Static method in interface org.tensorflow.types.TString: Allocates a new tensor with the given shape and data.
tensorOf(NdArray<Byte>) - Static method in interface org.tensorflow.types.TUint8: Allocates a new tensor which is a copy of a given array of bytes.
tensorOf(Shape) - Static method in interface org.tensorflow.types.TUint8: Allocates a new tensor of the given shape.
tensorOf(Shape, ByteDataBuffer) - Static method in interface org.tensorflow.types.TUint8: Allocates a new tensor of the given shape, initialized with the provided data.
tensorOf(Shape, Consumer<TUint8>) - Static method in interface org.tensorflow.types.TUint8: Allocates a new tensor of the given shape and initialize its data.
tensorOfBytes(NdArray<byte[]>) - Static method in interface org.tensorflow.types.TString: Allocates a new tensor which is a copy of a given array of raw bytes.
tensorOfBytes(Shape, DataBuffer<byte[]>) - Static method in interface org.tensorflow.types.TString: Allocates a new tensor with the given shape and raw bytes.
tensorOfSameType(Scope, Operand<T>, Number) - Static method in class org.tensorflow.op.core.Constant: Creates a scalar of the same type as toMatch, with the value of number.
TensorProto - Class in org.tensorflow.proto.framework: Protocol buffer representing a tensor.
TensorProto.Builder - Class in org.tensorflow.proto.framework: Protocol buffer representing a tensor.
TensorProtoOrBuilder - Interface in org.tensorflow.proto.framework
TensorProtos - Class in org.tensorflow.proto.framework
tensors() - Method in class org.tensorflow.op.train.Restore: Gets tensors.
tensors - Variable in class org.tensorflow.op.train.Save.Inputs: N tensors to save.
TENSORS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.VariantTensorDataProto
TensorScatterNdAdd<T extends TType> - Class in org.tensorflow.op.core: Adds sparse updates to an existing tensor according to indices.
TensorScatterNdAdd(Operation) - Constructor for class org.tensorflow.op.core.TensorScatterNdAdd
tensorScatterNdAdd(Operand<T>, Operand<? extends TNumber>, Operand<T>) - Method in class org.tensorflow.op.Ops: Adds sparse updates to an existing tensor according to indices.
TensorScatterNdAdd.Inputs<T extends TType> - Class in org.tensorflow.op.core
TensorScatterNdMax<T extends TType> - Class in org.tensorflow.op.core: The TensorScatterMax operation
TensorScatterNdMax(Operation) - Constructor for class org.tensorflow.op.core.TensorScatterNdMax
tensorScatterNdMax(Operand<T>, Operand<? extends TNumber>, Operand<T>) - Method in class org.tensorflow.op.Ops: The TensorScatterMax operation
TensorScatterNdMax.Inputs<T extends TType> - Class in org.tensorflow.op.core
TensorScatterNdMin<T extends TType> - Class in org.tensorflow.op.core: The TensorScatterMin operation
TensorScatterNdMin(Operation) - Constructor for class org.tensorflow.op.core.TensorScatterNdMin
tensorScatterNdMin(Operand<T>, Operand<? extends TNumber>, Operand<T>) - Method in class org.tensorflow.op.Ops: The TensorScatterMin operation
TensorScatterNdMin.Inputs<T extends TType> - Class in org.tensorflow.op.core
TensorScatterNdSub<T extends TType> - Class in org.tensorflow.op.core: Subtracts sparse updates from an existing tensor according to indices.
TensorScatterNdSub(Operation) - Constructor for class org.tensorflow.op.core.TensorScatterNdSub
tensorScatterNdSub(Operand<T>, Operand<? extends TNumber>, Operand<T>) - Method in class org.tensorflow.op.Ops: Subtracts sparse updates from an existing tensor according to indices.
TensorScatterNdSub.Inputs<T extends TType> - Class in org.tensorflow.op.core
TensorScatterNdUpdate<T extends TType> - Class in org.tensorflow.op.core: Scatter updates into an existing tensor according to indices.
TensorScatterNdUpdate(Operation) - Constructor for class org.tensorflow.op.core.TensorScatterNdUpdate
tensorScatterNdUpdate(Operand<T>, Operand<? extends TNumber>, Operand<T>) - Method in class org.tensorflow.op.Ops: Scatter updates into an existing tensor according to indices.
TensorScatterNdUpdate.Inputs<T extends TType> - Class in org.tensorflow.op.core
TensorShapeProto - Class in org.tensorflow.proto.framework: Dimensions of a tensor.
TensorShapeProto.Builder - Class in org.tensorflow.proto.framework: Dimensions of a tensor.
TensorShapeProto.Dim - Class in org.tensorflow.proto.framework: One dimension of the tensor.
TensorShapeProto.Dim.Builder - Class in org.tensorflow.proto.framework: One dimension of the tensor.
TensorShapeProto.DimOrBuilder - Interface in org.tensorflow.proto.framework
TensorShapeProtoOrBuilder - Interface in org.tensorflow.proto.framework
TensorShapeProtos - Class in org.tensorflow.proto.framework
TensorSliceDataset - Class in org.tensorflow.op.data: Creates a dataset that emits each dim-0 slice of components once.
TensorSliceDataset(Operation) - Constructor for class org.tensorflow.op.data.TensorSliceDataset
tensorSliceDataset(Iterable<Operand<?>>, List<Shape>, TensorSliceDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that emits each dim-0 slice of components once.
TensorSliceDataset.Inputs - Class in org.tensorflow.op.data
TensorSliceDataset.Options - Class in org.tensorflow.op.data: Optional attributes for TensorSliceDataset
TensorSliceProto - Class in org.tensorflow.proto.framework: Can only be interpreted if you know the corresponding TensorShape.
TensorSliceProto.Builder - Class in org.tensorflow.proto.framework: Can only be interpreted if you know the corresponding TensorShape.
TensorSliceProto.Extent - Class in org.tensorflow.proto.framework: Extent of the slice in one dimension.
TensorSliceProto.Extent.Builder - Class in org.tensorflow.proto.framework: Extent of the slice in one dimension.
TensorSliceProto.Extent.HasLengthCase - Enum in org.tensorflow.proto.framework
TensorSliceProto.ExtentOrBuilder - Interface in org.tensorflow.proto.framework
TensorSliceProtoOrBuilder - Interface in org.tensorflow.proto.framework
TensorSliceProtos - Class in org.tensorflow.proto.framework
TensorSpecProto - Class in org.tensorflow.proto.framework: A protobuf to represent tf.TensorSpec.
TensorSpecProto.Builder - Class in org.tensorflow.proto.framework: A protobuf to represent tf.TensorSpec.
TensorSpecProtoOrBuilder - Interface in org.tensorflow.proto.framework
TensorStridedSliceUpdate<T extends TType> - Class in org.tensorflow.op.core: Assign value to the sliced l-value reference of input.
TensorStridedSliceUpdate(Operation) - Constructor for class org.tensorflow.op.core.TensorStridedSliceUpdate
tensorStridedSliceUpdate(Operand<T>, Operand, Operand, Operand, Operand<T>, TensorStridedSliceUpdate.Options...) - Method in class org.tensorflow.op.Ops: Assign value to the sliced l-value reference of input.
TensorStridedSliceUpdate.Inputs<T extends TType,U extends TNumber> - Class in org.tensorflow.op.core
TensorStridedSliceUpdate.Options - Class in org.tensorflow.op.core: Optional attributes for TensorStridedSliceUpdate
TensorSummary - Class in org.tensorflow.op.summary: Outputs a Summary protocol buffer with a tensor and per-plugin data.
TensorSummary(Operation) - Constructor for class org.tensorflow.op.summary.TensorSummary
tensorSummary(Operand<TString>, Operand<? extends TType>, Operand<TString>) - Method in class org.tensorflow.op.SummaryOps: Outputs a Summary protocol buffer with a tensor and per-plugin data.
TensorSummary.Inputs - Class in org.tensorflow.op.summary
tensorType - Variable in class org.tensorflow.op.core.Recv.Inputs: The tensorType attribute
TensorType - Annotation Type in org.tensorflow.types.annotation: Annotation for all tensor types.
TensorTypeInfo<T extends TType> - Class in org.tensorflow.internal.types.registry: Registered information about a tensor type.
TensorTypeRegistry - Class in org.tensorflow.internal.types.registry: Repository of all registered tensor types.
TensorTypeRegistry() - Constructor for class org.tensorflow.internal.types.registry.TensorTypeRegistry
TestLogProtos - Class in org.tensorflow.proto.util.testlog
TestResults - Class in org.tensorflow.proto.util.testlog: The output of one benchmark / test run.
TestResults.BenchmarkType - Enum in org.tensorflow.proto.util.testlog: The type of benchmark.
TestResults.Builder - Class in org.tensorflow.proto.util.testlog: The output of one benchmark / test run.
TestResultsOrBuilder - Interface in org.tensorflow.proto.util.testlog
TextLineDataset - Class in org.tensorflow.op.data: Creates a dataset that emits the lines of one or more text files.
TextLineDataset(Operation) - Constructor for class org.tensorflow.op.data.TextLineDataset
textLineDataset(Operand<TString>, Operand<TString>, Operand<TInt64>, TextLineDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that emits the lines of one or more text files.
TextLineDataset.Inputs - Class in org.tensorflow.op.data
TextLineDataset.Options - Class in org.tensorflow.op.data: Optional attributes for TextLineDataset
TextLineReader - Class in org.tensorflow.op.io: A Reader that outputs the lines of a file delimited by '\n'.
TextLineReader(Operation) - Constructor for class org.tensorflow.op.io.TextLineReader
textLineReader(TextLineReader.Options...) - Method in class org.tensorflow.op.IoOps: A Reader that outputs the lines of a file delimited by '\n'.
TextLineReader.Inputs - Class in org.tensorflow.op.io
TextLineReader.Options - Class in org.tensorflow.op.io: Optional attributes for TextLineReader
TF_ABORTED - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_Code
TF_AbortWhile(TF_WhileParams) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AddControlInput(TF_OperationDescription, TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AddGradients(TF_Graph, TF_Output, int, TF_Output, int, TF_Output, TF_Status, TF_Output) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AddGradientsWithPrefix(TF_Graph, BytePointer, TF_Output, int, TF_Output, int, TF_Output, TF_Status, TF_Output) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AddGradientsWithPrefix(TF_Graph, String, TF_Output, int, TF_Output, int, TF_Output, TF_Status, TF_Output) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AddInput(TF_OperationDescription, TF_Output) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AddInputList(TF_OperationDescription, TF_Output, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_align16(long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AllocateOutput(TF_OpKernelContext, int, int, LongPointer, int, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AllocateOutput(TF_OpKernelContext, int, int, LongBuffer, int, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AllocateOutput(TF_OpKernelContext, int, int, long[], int, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AllocateTemp(TF_OpKernelContext, int, LongPointer, int, TF_AllocatorAttributes, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AllocateTemp(TF_OpKernelContext, int, LongBuffer, int, TF_AllocatorAttributes, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AllocateTemp(TF_OpKernelContext, int, long[], int, TF_AllocatorAttributes, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AllocateTensor(int, LongPointer, int, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AllocateTensor(int, LongBuffer, int, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AllocateTensor(int, long[], int, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ALLOCATOR_ATTRIBUTES_STRUCT_SIZE - Static variable in class org.tensorflow.internal.c_api.global.tensorflow
TF_ALLOCATOR_ATTRIBUTES_STRUCT_SIZE() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AllocatorAttributes - Class in org.tensorflow.internal.c_api
TF_AllocatorAttributes() - Constructor for class org.tensorflow.internal.c_api.TF_AllocatorAttributes: Default native constructor.
TF_AllocatorAttributes(long) - Constructor for class org.tensorflow.internal.c_api.TF_AllocatorAttributes: Native array allocator.
TF_AllocatorAttributes(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_AllocatorAttributes: Pointer cast constructor.
TF_ALREADY_EXISTS - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_Code
TF_ApiDefMap - Class in org.tensorflow.internal.c_api
TF_ApiDefMap() - Constructor for class org.tensorflow.internal.c_api.TF_ApiDefMap: Empty constructor.
TF_ApiDefMap(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_ApiDefMap: Pointer cast constructor.
TF_ApiDefMapGet(TF_ApiDefMap, BytePointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ApiDefMapGet(TF_ApiDefMap, String, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ApiDefMapPut(TF_ApiDefMap, BytePointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ApiDefMapPut(TF_ApiDefMap, String, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ATTR_BOOL - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_AttrType
TF_ATTR_FLOAT - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_AttrType
TF_ATTR_FUNC - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_AttrType
TF_ATTR_INT - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_AttrType
TF_ATTR_PLACEHOLDER - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_AttrType
TF_ATTR_SHAPE - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_AttrType
TF_ATTR_STRING - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_AttrType
TF_ATTR_TENSOR - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_AttrType
TF_ATTR_TYPE - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_AttrType
TF_AttrMetadata - Class in org.tensorflow.internal.c_api
TF_AttrMetadata() - Constructor for class org.tensorflow.internal.c_api.TF_AttrMetadata: Default native constructor.
TF_AttrMetadata(long) - Constructor for class org.tensorflow.internal.c_api.TF_AttrMetadata: Native array allocator.
TF_AttrMetadata(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_AttrMetadata: Pointer cast constructor.
TF_BFLOAT16 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_BOOL - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_Buffer - Class in org.tensorflow.internal.c_api
TF_Buffer() - Constructor for class org.tensorflow.internal.c_api.TF_Buffer: Default native constructor.
TF_Buffer(long) - Constructor for class org.tensorflow.internal.c_api.TF_Buffer: Native array allocator.
TF_Buffer(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_Buffer: Pointer cast constructor.
TF_Buffer.Data_deallocator_Pointer_long - Class in org.tensorflow.internal.c_api
TF_CANCELLED - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_Code
TF_CloseDeprecatedSession(TF_DeprecatedSession, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_CloseSession(TF_Session, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ColocateWith(TF_OperationDescription, TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_COMPLEX - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_COMPLEX128 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_COMPLEX64 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_DATA_LOSS - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_Code
TF_DataTypeSize(int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DEADLINE_EXCEEDED - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_Code
TF_DeleteApiDefMap(TF_ApiDefMap) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteBuffer(TF_Buffer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteDeprecatedSession(TF_DeprecatedSession, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteDeviceList(TF_DeviceList) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteDimensionHandle(TF_DimensionHandle) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteFunction(TF_Function) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteGraph(TF_Graph) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteImportGraphDefOptions(TF_ImportGraphDefOptions) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteImportGraphDefResults(TF_ImportGraphDefResults) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteKernelBuilder(TF_KernelBuilder) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteLibraryHandle(TF_Library) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteOpDefinitionBuilder(TF_OpDefinitionBuilder) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeletePRunHandle(BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeletePRunHandle(String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteServer(TF_Server) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteSession(TF_Session, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteSessionOptions(TF_SessionOptions) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteShapeHandle(TF_ShapeHandle) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteStatus(TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteTensor(TF_Tensor) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeprecatedSession - Class in org.tensorflow.internal.c_api
TF_DeprecatedSession() - Constructor for class org.tensorflow.internal.c_api.TF_DeprecatedSession: Empty constructor.
TF_DeprecatedSession(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_DeprecatedSession: Pointer cast constructor.
TF_DeprecatedSessionListDevices(TF_DeprecatedSession, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeviceList - Class in org.tensorflow.internal.c_api
TF_DeviceList() - Constructor for class org.tensorflow.internal.c_api.TF_DeviceList: Empty constructor.
TF_DeviceList(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_DeviceList: Pointer cast constructor.
TF_DeviceListCount(TF_DeviceList) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeviceListIncarnation(TF_DeviceList, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeviceListMemoryBytes(TF_DeviceList, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeviceListName(TF_DeviceList, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeviceListType(TF_DeviceList, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Dim(TF_Tensor, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DimensionHandle - Class in org.tensorflow.internal.c_api
TF_DimensionHandle() - Constructor for class org.tensorflow.internal.c_api.TF_DimensionHandle: Empty constructor.
TF_DimensionHandle(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_DimensionHandle: Pointer cast constructor.
TF_DimensionHandleValue(TF_DimensionHandle) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DimensionHandleValueKnown(TF_DimensionHandle) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DOUBLE - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_ExpectedOutputDataType(TF_OpKernelContext, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ExtendGraph(TF_DeprecatedSession, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_FAILED_PRECONDITION - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_Code
TF_FinishOperation(TF_OperationDescription, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_FinishOperationLocked(TF_OperationDescription, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_FinishWhile(TF_WhileParams, TF_Status, TF_Output) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_FLOAT - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_ForwardInputOrAllocateOutput(TF_OpKernelContext, IntPointer, int, int, LongPointer, int, IntPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ForwardInputOrAllocateOutput(TF_OpKernelContext, IntBuffer, int, int, LongBuffer, int, IntBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ForwardInputOrAllocateOutput(TF_OpKernelContext, int[], int, int, long[], int, int[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Function - Class in org.tensorflow.internal.c_api
TF_Function() - Constructor for class org.tensorflow.internal.c_api.TF_Function: Empty constructor.
TF_Function(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_Function: Pointer cast constructor.
TF_FunctionGetAttrValueProto(TF_Function, BytePointer, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_FunctionGetAttrValueProto(TF_Function, String, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_FunctionImportFunctionDef(Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_FunctionName(TF_Function) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_FunctionOptions - Class in org.tensorflow.internal.c_api
TF_FunctionOptions() - Constructor for class org.tensorflow.internal.c_api.TF_FunctionOptions: Empty constructor.
TF_FunctionOptions(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_FunctionOptions: Pointer cast constructor.
TF_FunctionSetAttrValueProto(TF_Function, BytePointer, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_FunctionSetAttrValueProto(TF_Function, String, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_FunctionToFunctionDef(TF_Function, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GetAllOpList() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GetAllRegisteredKernels(TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GetBuffer(TF_Buffer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GetCode(TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GetInput(TF_OpKernelContext, int, PointerPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GetInput(TF_OpKernelContext, int, TF_Tensor, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GetOpList(TF_Library) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GetRegisteredKernelsForOp(BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GetRegisteredKernelsForOp(String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GetStream(TF_OpKernelContext, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Graph - Class in org.tensorflow.internal.c_api
TF_Graph(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_Graph: Pointer cast constructor.
TF_GraphCopyFunction(TF_Graph, TF_Function, TF_Function, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphGetFunctions(TF_Graph, PointerPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphGetFunctions(TF_Graph, TF_Function, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphGetOpDef(TF_Graph, BytePointer, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphGetOpDef(TF_Graph, String, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphGetTensorNumDims(TF_Graph, TF_Output, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphGetTensorShape(TF_Graph, TF_Output, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphGetTensorShape(TF_Graph, TF_Output, LongBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphGetTensorShape(TF_Graph, TF_Output, long[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphImportGraphDef(TF_Graph, TF_Buffer, TF_ImportGraphDefOptions, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphImportGraphDefWithResults(TF_Graph, TF_Buffer, TF_ImportGraphDefOptions, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphImportGraphDefWithReturnOutputs(TF_Graph, TF_Buffer, TF_ImportGraphDefOptions, TF_Output, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphNextOperation(TF_Graph, SizeTPointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphNumFunctions(TF_Graph) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphOperationByName(TF_Graph, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphOperationByName(TF_Graph, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphSetTensorShape(TF_Graph, TF_Output, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphSetTensorShape(TF_Graph, TF_Output, LongBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphSetTensorShape(TF_Graph, TF_Output, long[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToFunction(TF_Graph, BytePointer, byte, int, PointerPointer, int, TF_Output, int, TF_Output, PointerPointer, TF_FunctionOptions, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToFunction(TF_Graph, BytePointer, byte, int, TF_Operation, int, TF_Output, int, TF_Output, BytePointer, TF_FunctionOptions, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToFunction(TF_Graph, String, byte, int, TF_Operation, int, TF_Output, int, TF_Output, ByteBuffer, TF_FunctionOptions, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToFunction(TF_Graph, BytePointer, byte, int, TF_Operation, int, TF_Output, int, TF_Output, byte[], TF_FunctionOptions, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToFunction(TF_Graph, String, byte, int, TF_Operation, int, TF_Output, int, TF_Output, BytePointer, TF_FunctionOptions, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToFunction(TF_Graph, BytePointer, byte, int, TF_Operation, int, TF_Output, int, TF_Output, ByteBuffer, TF_FunctionOptions, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToFunction(TF_Graph, String, byte, int, TF_Operation, int, TF_Output, int, TF_Output, byte[], TF_FunctionOptions, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToFunctionWithControlOutputs(TF_Graph, BytePointer, byte, int, PointerPointer, int, TF_Output, int, TF_Output, PointerPointer, int, PointerPointer, PointerPointer, TF_FunctionOptions, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToFunctionWithControlOutputs(TF_Graph, BytePointer, byte, int, TF_Operation, int, TF_Output, int, TF_Output, BytePointer, int, TF_Operation, BytePointer, TF_FunctionOptions, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToFunctionWithControlOutputs(TF_Graph, String, byte, int, TF_Operation, int, TF_Output, int, TF_Output, ByteBuffer, int, TF_Operation, ByteBuffer, TF_FunctionOptions, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToFunctionWithControlOutputs(TF_Graph, BytePointer, byte, int, TF_Operation, int, TF_Output, int, TF_Output, byte[], int, TF_Operation, byte[], TF_FunctionOptions, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToFunctionWithControlOutputs(TF_Graph, String, byte, int, TF_Operation, int, TF_Output, int, TF_Output, BytePointer, int, TF_Operation, BytePointer, TF_FunctionOptions, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToFunctionWithControlOutputs(TF_Graph, BytePointer, byte, int, TF_Operation, int, TF_Output, int, TF_Output, ByteBuffer, int, TF_Operation, ByteBuffer, TF_FunctionOptions, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToFunctionWithControlOutputs(TF_Graph, String, byte, int, TF_Operation, int, TF_Output, int, TF_Output, byte[], int, TF_Operation, byte[], TF_FunctionOptions, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToGraphDef(TF_Graph, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphVersions(TF_Graph, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_HALF - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_ImportGraphDefOptions - Class in org.tensorflow.internal.c_api
TF_ImportGraphDefOptions() - Constructor for class org.tensorflow.internal.c_api.TF_ImportGraphDefOptions: Empty constructor.
TF_ImportGraphDefOptions(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_ImportGraphDefOptions: Pointer cast constructor.
TF_ImportGraphDefOptionsAddControlDependency(TF_ImportGraphDefOptions, TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsAddInputMapping(TF_ImportGraphDefOptions, BytePointer, int, TF_Output) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsAddInputMapping(TF_ImportGraphDefOptions, String, int, TF_Output) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsAddReturnOperation(TF_ImportGraphDefOptions, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsAddReturnOperation(TF_ImportGraphDefOptions, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsAddReturnOutput(TF_ImportGraphDefOptions, BytePointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsAddReturnOutput(TF_ImportGraphDefOptions, String, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsNumReturnOperations(TF_ImportGraphDefOptions) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsNumReturnOutputs(TF_ImportGraphDefOptions) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsRemapControlDependency(TF_ImportGraphDefOptions, BytePointer, TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsRemapControlDependency(TF_ImportGraphDefOptions, String, TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsSetDefaultDevice(TF_ImportGraphDefOptions, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsSetDefaultDevice(TF_ImportGraphDefOptions, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsSetPrefix(TF_ImportGraphDefOptions, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsSetPrefix(TF_ImportGraphDefOptions, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsSetUniquifyNames(TF_ImportGraphDefOptions, byte) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsSetUniquifyPrefix(TF_ImportGraphDefOptions, byte) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefResults - Class in org.tensorflow.internal.c_api
TF_ImportGraphDefResults() - Constructor for class org.tensorflow.internal.c_api.TF_ImportGraphDefResults: Empty constructor.
TF_ImportGraphDefResults(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_ImportGraphDefResults: Pointer cast constructor.
TF_ImportGraphDefResultsMissingUnusedInputMappings(TF_ImportGraphDefResults, IntPointer, PointerPointer, PointerPointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefResultsMissingUnusedInputMappings(TF_ImportGraphDefResults, IntPointer, PointerPointer, IntPointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefResultsMissingUnusedInputMappings(TF_ImportGraphDefResults, IntBuffer, PointerPointer, IntBuffer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefResultsMissingUnusedInputMappings(TF_ImportGraphDefResults, int[], PointerPointer, int[]) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefResultsReturnOperations(TF_ImportGraphDefResults, IntPointer, PointerPointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefResultsReturnOperations(TF_ImportGraphDefResults, IntBuffer, PointerPointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefResultsReturnOperations(TF_ImportGraphDefResults, int[], PointerPointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefResultsReturnOutputs(TF_ImportGraphDefResults, IntPointer, PointerPointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefResultsReturnOutputs(TF_ImportGraphDefResults, IntPointer, TF_Output) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefResultsReturnOutputs(TF_ImportGraphDefResults, IntBuffer, TF_Output) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefResultsReturnOutputs(TF_ImportGraphDefResults, int[], TF_Output) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Input - Class in org.tensorflow.internal.c_api
TF_Input() - Constructor for class org.tensorflow.internal.c_api.TF_Input: Default native constructor.
TF_Input(long) - Constructor for class org.tensorflow.internal.c_api.TF_Input: Native array allocator.
TF_Input(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_Input: Pointer cast constructor.
TF_INT16 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_INT32 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_INT64 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_INT8 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_INTERNAL - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_Code
TF_INVALID_ARGUMENT - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_Code
TF_KernelBuilder - Class in org.tensorflow.internal.c_api
TF_KernelBuilder() - Constructor for class org.tensorflow.internal.c_api.TF_KernelBuilder: Empty constructor.
TF_KernelBuilder(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_KernelBuilder: Pointer cast constructor.
TF_KernelBuilder_HostMemory(TF_KernelBuilder, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_KernelBuilder_HostMemory(TF_KernelBuilder, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_KernelBuilder_Priority(TF_KernelBuilder, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_KernelBuilder_TypeConstraint(TF_KernelBuilder, BytePointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_KernelBuilder_TypeConstraint(TF_KernelBuilder, String, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Library - Class in org.tensorflow.internal.c_api
TF_Library() - Constructor for class org.tensorflow.internal.c_api.TF_Library: Empty constructor.
TF_Library(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_Library: Pointer cast constructor.
TF_LoadLibrary(BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_LoadLibrary(String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_LoadSessionFromSavedModel(TF_SessionOptions, TF_Buffer, BytePointer, PointerPointer, int, TF_Graph, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_LoadSessionFromSavedModel(TF_SessionOptions, TF_Buffer, BytePointer, BytePointer, int, TF_Graph, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_LoadSessionFromSavedModel(TF_SessionOptions, TF_Buffer, String, ByteBuffer, int, TF_Graph, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_LoadSessionFromSavedModel(TF_SessionOptions, TF_Buffer, BytePointer, byte[], int, TF_Graph, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_LoadSessionFromSavedModel(TF_SessionOptions, TF_Buffer, String, BytePointer, int, TF_Graph, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_LoadSessionFromSavedModel(TF_SessionOptions, TF_Buffer, BytePointer, ByteBuffer, int, TF_Graph, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_LoadSessionFromSavedModel(TF_SessionOptions, TF_Buffer, String, byte[], int, TF_Graph, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_max(long, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Message(TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_min(long, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewApiDefMap(TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewBuffer() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewBufferFromString(Pointer, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewDeprecatedSession(TF_SessionOptions, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewDimensionHandle() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewGraph() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewImportGraphDefOptions() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewKernelBuilder(BytePointer, BytePointer, Create_func_TF_OpKernelConstruction, Compute_func_Pointer_TF_OpKernelContext, Delete_func_Pointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewKernelBuilder(String, String, Create_func_TF_OpKernelConstruction, Compute_func_Pointer_TF_OpKernelContext, Delete_func_Pointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewOpDefinitionBuilder(BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewOpDefinitionBuilder(String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewOperation(TF_Graph, BytePointer, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewOperation(TF_Graph, String, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewOperationLocked(TF_Graph, BytePointer, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewOperationLocked(TF_Graph, String, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewServer(Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewSession(TF_Graph, TF_SessionOptions, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewSessionOptions() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewShapeHandle() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewStatus() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewTensor(int, LongPointer, int, Pointer, long, Deallocator_Pointer_long_Pointer, Pointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewTensor(int, LongBuffer, int, Pointer, long, Deallocator_Pointer_long_Pointer, Pointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewTensor(int, long[], int, Pointer, long, Deallocator_Pointer_long_Pointer, Pointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewWhile(TF_Graph, TF_Output, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NOT_FOUND - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_Code
TF_NumDims(TF_Tensor) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NumInputs(TF_OpKernelContext) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NumOutputs(TF_OpKernelContext) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OK - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_Code
TF_OpDefinitionBuilder - Class in org.tensorflow.internal.c_api
TF_OpDefinitionBuilder() - Constructor for class org.tensorflow.internal.c_api.TF_OpDefinitionBuilder: Empty constructor.
TF_OpDefinitionBuilder(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_OpDefinitionBuilder: Pointer cast constructor.
TF_OpDefinitionBuilderAddAttr(TF_OpDefinitionBuilder, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpDefinitionBuilderAddAttr(TF_OpDefinitionBuilder, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpDefinitionBuilderAddInput(TF_OpDefinitionBuilder, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpDefinitionBuilderAddInput(TF_OpDefinitionBuilder, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpDefinitionBuilderAddOutput(TF_OpDefinitionBuilder, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpDefinitionBuilderAddOutput(TF_OpDefinitionBuilder, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpDefinitionBuilderDeprecated(TF_OpDefinitionBuilder, int, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpDefinitionBuilderDeprecated(TF_OpDefinitionBuilder, int, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpDefinitionBuilderSetAllowsUninitializedInput(TF_OpDefinitionBuilder, boolean) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpDefinitionBuilderSetIsAggregate(TF_OpDefinitionBuilder, boolean) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpDefinitionBuilderSetIsCommutative(TF_OpDefinitionBuilder, boolean) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpDefinitionBuilderSetIsStateful(TF_OpDefinitionBuilder, boolean) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpDefinitionBuilderSetShapeInferenceFunction(TF_OpDefinitionBuilder, Shape_inference_func_TF_ShapeInferenceContext_TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Operation - Class in org.tensorflow.internal.c_api
TF_Operation(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_Operation: Pointer cast constructor.
TF_OperationAllInputs(TF_Operation, TF_Output, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationDescription - Class in org.tensorflow.internal.c_api
TF_OperationDescription(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_OperationDescription: Pointer cast constructor.
TF_OperationDevice(TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrBool(TF_Operation, BytePointer, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrBool(TF_Operation, String, ByteBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrBool(TF_Operation, BytePointer, byte[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrBool(TF_Operation, String, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrBool(TF_Operation, BytePointer, ByteBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrBool(TF_Operation, String, byte[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrBoolList(TF_Operation, BytePointer, BytePointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrBoolList(TF_Operation, String, ByteBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrBoolList(TF_Operation, BytePointer, byte[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrBoolList(TF_Operation, String, BytePointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrBoolList(TF_Operation, BytePointer, ByteBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrBoolList(TF_Operation, String, byte[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrFloat(TF_Operation, BytePointer, FloatPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrFloat(TF_Operation, String, FloatBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrFloat(TF_Operation, BytePointer, float[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrFloat(TF_Operation, String, FloatPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrFloat(TF_Operation, BytePointer, FloatBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrFloat(TF_Operation, String, float[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrFloatList(TF_Operation, BytePointer, FloatPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrFloatList(TF_Operation, String, FloatBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrFloatList(TF_Operation, BytePointer, float[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrFloatList(TF_Operation, String, FloatPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrFloatList(TF_Operation, BytePointer, FloatBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrFloatList(TF_Operation, String, float[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrInt(TF_Operation, BytePointer, LongPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrInt(TF_Operation, String, LongBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrInt(TF_Operation, BytePointer, long[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrInt(TF_Operation, String, LongPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrInt(TF_Operation, BytePointer, LongBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrInt(TF_Operation, String, long[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrIntList(TF_Operation, BytePointer, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrIntList(TF_Operation, String, LongBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrIntList(TF_Operation, BytePointer, long[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrIntList(TF_Operation, String, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrIntList(TF_Operation, BytePointer, LongBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrIntList(TF_Operation, String, long[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrMetadata(TF_Operation, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrMetadata(TF_Operation, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrName(TF_Operation, int, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrName(TF_Operation, int, ByteBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrName(TF_Operation, int, byte[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrNameLength(TF_Operation, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrShape(TF_Operation, BytePointer, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrShape(TF_Operation, String, LongBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrShape(TF_Operation, BytePointer, long[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrShape(TF_Operation, String, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrShape(TF_Operation, BytePointer, LongBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrShape(TF_Operation, String, long[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrShapeList(TF_Operation, BytePointer, PointerPointer, IntPointer, int, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrShapeList(TF_Operation, BytePointer, LongPointer, IntPointer, int, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrShapeList(TF_Operation, String, LongBuffer, IntBuffer, int, LongBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrShapeList(TF_Operation, BytePointer, long[], int[], int, long[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrShapeList(TF_Operation, String, LongPointer, IntPointer, int, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrShapeList(TF_Operation, BytePointer, LongBuffer, IntBuffer, int, LongBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrShapeList(TF_Operation, String, long[], int[], int, long[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrString(TF_Operation, BytePointer, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrString(TF_Operation, String, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrStringList(TF_Operation, BytePointer, PointerPointer, SizeTPointer, int, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrStringList(TF_Operation, BytePointer, Pointer, SizeTPointer, int, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrStringList(TF_Operation, String, Pointer, SizeTPointer, int, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTensor(TF_Operation, BytePointer, PointerPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTensor(TF_Operation, BytePointer, TF_Tensor, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTensor(TF_Operation, String, TF_Tensor, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTensorList(TF_Operation, BytePointer, PointerPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTensorList(TF_Operation, BytePointer, TF_Tensor, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTensorList(TF_Operation, String, TF_Tensor, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTensorShapeProto(TF_Operation, BytePointer, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTensorShapeProto(TF_Operation, String, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTensorShapeProtoList(TF_Operation, BytePointer, PointerPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTensorShapeProtoList(TF_Operation, BytePointer, TF_Buffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTensorShapeProtoList(TF_Operation, String, TF_Buffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrType(TF_Operation, BytePointer, IntPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrType(TF_Operation, String, IntBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrType(TF_Operation, BytePointer, int[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrType(TF_Operation, String, IntPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrType(TF_Operation, BytePointer, IntBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrType(TF_Operation, String, int[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTypeList(TF_Operation, BytePointer, IntPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTypeList(TF_Operation, String, IntBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTypeList(TF_Operation, BytePointer, int[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTypeList(TF_Operation, String, IntPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTypeList(TF_Operation, BytePointer, IntBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTypeList(TF_Operation, String, int[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrValueProto(TF_Operation, BytePointer, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrValueProto(TF_Operation, String, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetControlInputs(TF_Operation, PointerPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetControlInputs(TF_Operation, TF_Operation, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetControlOutputs(TF_Operation, PointerPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetControlOutputs(TF_Operation, TF_Operation, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetNumAttrs(TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationInput(TF_Input) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationInputListLength(TF_Operation, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationInputListLength(TF_Operation, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationInputType(TF_Input) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationName(TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationNumControlInputs(TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationNumControlOutputs(TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationNumInputs(TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationNumOutputs(TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationOpType(TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationOutputConsumers(TF_Output, TF_Input, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationOutputListLength(TF_Operation, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationOutputListLength(TF_Operation, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationOutputNumConsumers(TF_Output) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationOutputType(TF_Output) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationToNodeDef(TF_Operation, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction - Class in org.tensorflow.internal.c_api
TF_OpKernelConstruction() - Constructor for class org.tensorflow.internal.c_api.TF_OpKernelConstruction: Empty constructor.
TF_OpKernelConstruction(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_OpKernelConstruction: Pointer cast constructor.
TF_OpKernelConstruction_Failure(TF_OpKernelConstruction, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrBool(TF_OpKernelConstruction, BytePointer, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrBool(TF_OpKernelConstruction, String, ByteBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrBool(TF_OpKernelConstruction, BytePointer, byte[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrBool(TF_OpKernelConstruction, String, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrBool(TF_OpKernelConstruction, BytePointer, ByteBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrBool(TF_OpKernelConstruction, String, byte[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrBoolList(TF_OpKernelConstruction, BytePointer, BytePointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrBoolList(TF_OpKernelConstruction, String, ByteBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrBoolList(TF_OpKernelConstruction, BytePointer, byte[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrBoolList(TF_OpKernelConstruction, String, BytePointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrBoolList(TF_OpKernelConstruction, BytePointer, ByteBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrBoolList(TF_OpKernelConstruction, String, byte[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrFloat(TF_OpKernelConstruction, BytePointer, FloatPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrFloat(TF_OpKernelConstruction, String, FloatBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrFloat(TF_OpKernelConstruction, BytePointer, float[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrFloat(TF_OpKernelConstruction, String, FloatPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrFloat(TF_OpKernelConstruction, BytePointer, FloatBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrFloat(TF_OpKernelConstruction, String, float[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrFloatList(TF_OpKernelConstruction, BytePointer, FloatPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrFloatList(TF_OpKernelConstruction, String, FloatBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrFloatList(TF_OpKernelConstruction, BytePointer, float[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrFloatList(TF_OpKernelConstruction, String, FloatPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrFloatList(TF_OpKernelConstruction, BytePointer, FloatBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrFloatList(TF_OpKernelConstruction, String, float[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrInt32(TF_OpKernelConstruction, BytePointer, IntPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrInt32(TF_OpKernelConstruction, String, IntBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrInt32(TF_OpKernelConstruction, BytePointer, int[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrInt32(TF_OpKernelConstruction, String, IntPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrInt32(TF_OpKernelConstruction, BytePointer, IntBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrInt32(TF_OpKernelConstruction, String, int[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrInt32List(TF_OpKernelConstruction, BytePointer, IntPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrInt32List(TF_OpKernelConstruction, String, IntBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrInt32List(TF_OpKernelConstruction, BytePointer, int[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrInt32List(TF_OpKernelConstruction, String, IntPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrInt32List(TF_OpKernelConstruction, BytePointer, IntBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrInt32List(TF_OpKernelConstruction, String, int[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrInt64(TF_OpKernelConstruction, BytePointer, LongPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrInt64(TF_OpKernelConstruction, String, LongBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrInt64(TF_OpKernelConstruction, BytePointer, long[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrInt64(TF_OpKernelConstruction, String, LongPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrInt64(TF_OpKernelConstruction, BytePointer, LongBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrInt64(TF_OpKernelConstruction, String, long[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrInt64List(TF_OpKernelConstruction, BytePointer, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrInt64List(TF_OpKernelConstruction, String, LongBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrInt64List(TF_OpKernelConstruction, BytePointer, long[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrInt64List(TF_OpKernelConstruction, String, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrInt64List(TF_OpKernelConstruction, BytePointer, LongBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrInt64List(TF_OpKernelConstruction, String, long[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrSize(TF_OpKernelConstruction, BytePointer, IntPointer, IntPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrSize(TF_OpKernelConstruction, String, IntBuffer, IntBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrSize(TF_OpKernelConstruction, BytePointer, int[], int[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrSize(TF_OpKernelConstruction, String, IntPointer, IntPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrSize(TF_OpKernelConstruction, BytePointer, IntBuffer, IntBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrSize(TF_OpKernelConstruction, String, int[], int[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrString(TF_OpKernelConstruction, BytePointer, BytePointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrString(TF_OpKernelConstruction, String, ByteBuffer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrString(TF_OpKernelConstruction, BytePointer, byte[], long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrString(TF_OpKernelConstruction, String, BytePointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrString(TF_OpKernelConstruction, BytePointer, ByteBuffer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrString(TF_OpKernelConstruction, String, byte[], long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrStringList(TF_OpKernelConstruction, BytePointer, PointerPointer, SizeTPointer, int, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrStringList(TF_OpKernelConstruction, BytePointer, BytePointer, SizeTPointer, int, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrStringList(TF_OpKernelConstruction, String, ByteBuffer, SizeTPointer, int, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrStringList(TF_OpKernelConstruction, BytePointer, byte[], SizeTPointer, int, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrStringList(TF_OpKernelConstruction, String, BytePointer, SizeTPointer, int, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrStringList(TF_OpKernelConstruction, BytePointer, ByteBuffer, SizeTPointer, int, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrStringList(TF_OpKernelConstruction, String, byte[], SizeTPointer, int, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrType(TF_OpKernelConstruction, BytePointer, IntPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrType(TF_OpKernelConstruction, String, IntBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrType(TF_OpKernelConstruction, BytePointer, int[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrType(TF_OpKernelConstruction, String, IntPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrType(TF_OpKernelConstruction, BytePointer, IntBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrType(TF_OpKernelConstruction, String, int[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrTypeList(TF_OpKernelConstruction, BytePointer, IntPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrTypeList(TF_OpKernelConstruction, String, IntBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrTypeList(TF_OpKernelConstruction, BytePointer, int[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrTypeList(TF_OpKernelConstruction, String, IntPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrTypeList(TF_OpKernelConstruction, BytePointer, IntBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetAttrTypeList(TF_OpKernelConstruction, String, int[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_GetName(TF_OpKernelConstruction) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_HasAttr(TF_OpKernelConstruction, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelConstruction_HasAttr(TF_OpKernelConstruction, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpKernelContext - Class in org.tensorflow.internal.c_api
TF_OpKernelContext() - Constructor for class org.tensorflow.internal.c_api.TF_OpKernelContext: Empty constructor.
TF_OpKernelContext(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_OpKernelContext: Pointer cast constructor.
TF_OpKernelContext_Failure(TF_OpKernelContext, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OUT_OF_RANGE - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_Code
TF_Output - Class in org.tensorflow.internal.c_api
TF_Output() - Constructor for class org.tensorflow.internal.c_api.TF_Output: Default native constructor.
TF_Output(long) - Constructor for class org.tensorflow.internal.c_api.TF_Output: Native array allocator.
TF_Output(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_Output: Pointer cast constructor.
TF_PERMISSION_DENIED - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_Code
TF_PRun(TF_DeprecatedSession, BytePointer, PointerPointer, PointerPointer, int, PointerPointer, PointerPointer, int, PointerPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_PRun(TF_DeprecatedSession, BytePointer, BytePointer, TF_Tensor, int, BytePointer, TF_Tensor, int, BytePointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_PRun(TF_DeprecatedSession, String, ByteBuffer, TF_Tensor, int, ByteBuffer, TF_Tensor, int, ByteBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_PRun(TF_DeprecatedSession, BytePointer, byte[], TF_Tensor, int, byte[], TF_Tensor, int, byte[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_PRun(TF_DeprecatedSession, String, BytePointer, TF_Tensor, int, BytePointer, TF_Tensor, int, BytePointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_PRun(TF_DeprecatedSession, BytePointer, ByteBuffer, TF_Tensor, int, ByteBuffer, TF_Tensor, int, ByteBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_PRun(TF_DeprecatedSession, String, byte[], TF_Tensor, int, byte[], TF_Tensor, int, byte[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_PRunSetup(TF_DeprecatedSession, PointerPointer, int, PointerPointer, int, PointerPointer, int, PointerPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_PRunSetup(TF_DeprecatedSession, BytePointer, int, BytePointer, int, BytePointer, int, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_PRunSetup(TF_DeprecatedSession, ByteBuffer, int, ByteBuffer, int, ByteBuffer, int, ByteBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_PRunSetup(TF_DeprecatedSession, byte[], int, byte[], int, byte[], int, byte[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_QINT16 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_QINT32 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_QINT8 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_QUINT16 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_QUINT8 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_RegisterFilesystemPlugin(BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_RegisterFilesystemPlugin(String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_RegisterKernelBuilder(BytePointer, TF_KernelBuilder, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_RegisterKernelBuilder(String, TF_KernelBuilder, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_RegisterLogListener(Listener_BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_RegisterLogListener(Listener_String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_RegisterOpDefinition(TF_OpDefinitionBuilder, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Reset(TF_SessionOptions, PointerPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Reset(TF_SessionOptions, BytePointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Reset(TF_SessionOptions, ByteBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Reset(TF_SessionOptions, byte[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_RESOURCE - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_RESOURCE_EXHAUSTED - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_Code
TF_Run(TF_DeprecatedSession, TF_Buffer, PointerPointer, PointerPointer, int, PointerPointer, PointerPointer, int, PointerPointer, int, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Run(TF_DeprecatedSession, TF_Buffer, BytePointer, TF_Tensor, int, BytePointer, TF_Tensor, int, BytePointer, int, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Run(TF_DeprecatedSession, TF_Buffer, ByteBuffer, TF_Tensor, int, ByteBuffer, TF_Tensor, int, ByteBuffer, int, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Run(TF_DeprecatedSession, TF_Buffer, byte[], TF_Tensor, int, byte[], TF_Tensor, int, byte[], int, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Scope - Class in org.tensorflow.internal.c_api: \addtogroup core \{
TF_Scope(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_Scope: Pointer cast constructor.
TF_Scope(TF_Scope) - Constructor for class org.tensorflow.internal.c_api.TF_Scope
TF_Scope.Impl - Class in org.tensorflow.internal.c_api: If status() is Status::OK(), construct a Graph object using opts as the GraphConstructorOptions, and return Status::OK if graph construction was successful.
TF_Server - Class in org.tensorflow.internal.c_api
TF_Server() - Constructor for class org.tensorflow.internal.c_api.TF_Server: Empty constructor.
TF_Server(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_Server: Pointer cast constructor.
TF_ServerJoin(TF_Server, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ServerStart(TF_Server, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ServerStop(TF_Server, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ServerTarget(TF_Server) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Session - Class in org.tensorflow.internal.c_api
TF_Session() - Constructor for class org.tensorflow.internal.c_api.TF_Session: Empty constructor.
TF_Session(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_Session: Pointer cast constructor.
TF_SessionListDevices(TF_Session, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SessionOptions - Class in org.tensorflow.internal.c_api
TF_SessionOptions() - Constructor for class org.tensorflow.internal.c_api.TF_SessionOptions: Empty constructor.
TF_SessionOptions(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_SessionOptions: Pointer cast constructor.
TF_SessionPRun(TF_Session, BytePointer, TF_Output, PointerPointer, int, TF_Output, PointerPointer, int, PointerPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SessionPRun(TF_Session, BytePointer, TF_Output, TF_Tensor, int, TF_Output, TF_Tensor, int, TF_Operation, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SessionPRun(TF_Session, String, TF_Output, TF_Tensor, int, TF_Output, TF_Tensor, int, TF_Operation, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SessionPRunSetup(TF_Session, TF_Output, int, TF_Output, int, PointerPointer, int, PointerPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SessionPRunSetup(TF_Session, TF_Output, int, TF_Output, int, TF_Operation, int, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SessionPRunSetup(TF_Session, TF_Output, int, TF_Output, int, TF_Operation, int, ByteBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SessionPRunSetup(TF_Session, TF_Output, int, TF_Output, int, TF_Operation, int, byte[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SessionRun(TF_Session, TF_Buffer, TF_Output, PointerPointer, int, TF_Output, PointerPointer, int, PointerPointer, int, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SessionRun(TF_Session, TF_Buffer, TF_Output, TF_Tensor, int, TF_Output, TF_Tensor, int, TF_Operation, int, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrBool(TF_OperationDescription, BytePointer, byte) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrBool(TF_OperationDescription, String, byte) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrBoolList(TF_OperationDescription, BytePointer, BytePointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrBoolList(TF_OperationDescription, String, ByteBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrBoolList(TF_OperationDescription, BytePointer, byte[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrBoolList(TF_OperationDescription, String, BytePointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrBoolList(TF_OperationDescription, BytePointer, ByteBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrBoolList(TF_OperationDescription, String, byte[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrFloat(TF_OperationDescription, BytePointer, float) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrFloat(TF_OperationDescription, String, float) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrFloatList(TF_OperationDescription, BytePointer, FloatPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrFloatList(TF_OperationDescription, String, FloatBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrFloatList(TF_OperationDescription, BytePointer, float[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrFloatList(TF_OperationDescription, String, FloatPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrFloatList(TF_OperationDescription, BytePointer, FloatBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrFloatList(TF_OperationDescription, String, float[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrFuncName(TF_OperationDescription, BytePointer, BytePointer, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrFuncName(TF_OperationDescription, String, String, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrInt(TF_OperationDescription, BytePointer, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrInt(TF_OperationDescription, String, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrIntList(TF_OperationDescription, BytePointer, LongPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrIntList(TF_OperationDescription, String, LongBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrIntList(TF_OperationDescription, BytePointer, long[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrIntList(TF_OperationDescription, String, LongPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrIntList(TF_OperationDescription, BytePointer, LongBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrIntList(TF_OperationDescription, String, long[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrPlaceholder(TF_OperationDescription, BytePointer, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrPlaceholder(TF_OperationDescription, String, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrShape(TF_OperationDescription, BytePointer, LongPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrShape(TF_OperationDescription, String, LongBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrShape(TF_OperationDescription, BytePointer, long[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrShape(TF_OperationDescription, String, LongPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrShape(TF_OperationDescription, BytePointer, LongBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrShape(TF_OperationDescription, String, long[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrShapeList(TF_OperationDescription, BytePointer, PointerPointer, IntPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrShapeList(TF_OperationDescription, BytePointer, LongPointer, IntPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrShapeList(TF_OperationDescription, String, LongBuffer, IntBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrShapeList(TF_OperationDescription, BytePointer, long[], int[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrShapeList(TF_OperationDescription, String, LongPointer, IntPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrShapeList(TF_OperationDescription, BytePointer, LongBuffer, IntBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrShapeList(TF_OperationDescription, String, long[], int[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrString(TF_OperationDescription, BytePointer, Pointer, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrString(TF_OperationDescription, String, Pointer, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrStringList(TF_OperationDescription, BytePointer, PointerPointer, SizeTPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrStringList(TF_OperationDescription, BytePointer, Pointer, SizeTPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrStringList(TF_OperationDescription, String, Pointer, SizeTPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTensor(TF_OperationDescription, BytePointer, TF_Tensor, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTensor(TF_OperationDescription, String, TF_Tensor, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTensorList(TF_OperationDescription, BytePointer, PointerPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTensorList(TF_OperationDescription, BytePointer, TF_Tensor, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTensorList(TF_OperationDescription, String, TF_Tensor, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTensorShapeProto(TF_OperationDescription, BytePointer, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTensorShapeProto(TF_OperationDescription, String, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTensorShapeProtoList(TF_OperationDescription, BytePointer, PointerPointer, SizeTPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTensorShapeProtoList(TF_OperationDescription, BytePointer, Pointer, SizeTPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTensorShapeProtoList(TF_OperationDescription, String, Pointer, SizeTPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrType(TF_OperationDescription, BytePointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrType(TF_OperationDescription, String, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTypeList(TF_OperationDescription, BytePointer, IntPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTypeList(TF_OperationDescription, String, IntBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTypeList(TF_OperationDescription, BytePointer, int[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTypeList(TF_OperationDescription, String, IntPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTypeList(TF_OperationDescription, BytePointer, IntBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTypeList(TF_OperationDescription, String, int[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrValueProto(TF_OperationDescription, BytePointer, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrValueProto(TF_OperationDescription, String, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetConfig(TF_SessionOptions, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetDevice(TF_OperationDescription, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetDevice(TF_OperationDescription, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetOutput(TF_OpKernelContext, int, TF_Tensor, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetPayload(TF_Status, BytePointer, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetPayload(TF_Status, String, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetStatus(TF_Status, int, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetStatus(TF_Status, int, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetStatusFromIOError(TF_Status, int, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetStatusFromIOError(TF_Status, int, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetTarget(TF_SessionOptions, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetTarget(TF_SessionOptions, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ShapeHandle - Class in org.tensorflow.internal.c_api
TF_ShapeHandle() - Constructor for class org.tensorflow.internal.c_api.TF_ShapeHandle: Empty constructor.
TF_ShapeHandle(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_ShapeHandle: Pointer cast constructor.
TF_ShapeInferenceContext - Class in org.tensorflow.internal.c_api
TF_ShapeInferenceContext() - Constructor for class org.tensorflow.internal.c_api.TF_ShapeInferenceContext: Empty constructor.
TF_ShapeInferenceContext(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_ShapeInferenceContext: Pointer cast constructor.
TF_ShapeInferenceContext_GetAttrType(TF_ShapeInferenceContext, BytePointer, IntPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ShapeInferenceContext_GetAttrType(TF_ShapeInferenceContext, String, IntBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ShapeInferenceContext_GetAttrType(TF_ShapeInferenceContext, BytePointer, int[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ShapeInferenceContext_GetAttrType(TF_ShapeInferenceContext, String, IntPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ShapeInferenceContext_GetAttrType(TF_ShapeInferenceContext, BytePointer, IntBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ShapeInferenceContext_GetAttrType(TF_ShapeInferenceContext, String, int[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ShapeInferenceContextConcatenateShapes(TF_ShapeInferenceContext, TF_ShapeHandle, TF_ShapeHandle, TF_ShapeHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ShapeInferenceContextDim(TF_ShapeInferenceContext, TF_ShapeHandle, long, TF_DimensionHandle) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ShapeInferenceContextGetInput(TF_ShapeInferenceContext, int, TF_ShapeHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ShapeInferenceContextNumInputs(TF_ShapeInferenceContext) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ShapeInferenceContextRank(TF_ShapeInferenceContext, TF_ShapeHandle) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ShapeInferenceContextRankKnown(TF_ShapeInferenceContext, TF_ShapeHandle) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ShapeInferenceContextScalar(TF_ShapeInferenceContext) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ShapeInferenceContextSetOutput(TF_ShapeInferenceContext, int, TF_ShapeHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ShapeInferenceContextSetUnknownShape(TF_ShapeInferenceContext, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ShapeInferenceContextSubshape(TF_ShapeInferenceContext, TF_ShapeHandle, long, long, TF_ShapeHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ShapeInferenceContextVectorFromSize(TF_ShapeInferenceContext, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ShapeInferenceContextWithRank(TF_ShapeInferenceContext, TF_ShapeHandle, long, TF_ShapeHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ShapeInferenceContextWithRankAtLeast(TF_ShapeInferenceContext, TF_ShapeHandle, long, TF_ShapeHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ShapeInferenceContextWithRankAtMost(TF_ShapeInferenceContext, TF_ShapeHandle, long, TF_ShapeHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Status - Class in org.tensorflow.internal.c_api
TF_Status() - Constructor for class org.tensorflow.internal.c_api.TF_Status: Empty constructor.
TF_Status(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_Status: Pointer cast constructor.
TF_StepId(TF_OpKernelContext) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_STRING - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_StringAssignView(TF_TString, BytePointer, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_StringAssignView(TF_TString, String, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_StringCopy(TF_TString, BytePointer, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_StringCopy(TF_TString, String, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_StringDealloc(TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_StringGetCapacity(TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_StringGetDataPointer(TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_StringGetSize(TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_StringGetType(TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_StringInit(TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_StringView - Class in org.tensorflow.internal.c_api
TF_StringView() - Constructor for class org.tensorflow.internal.c_api.TF_StringView: Default native constructor.
TF_StringView(long) - Constructor for class org.tensorflow.internal.c_api.TF_StringView: Native array allocator.
TF_StringView(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_StringView: Pointer cast constructor.
TF_swap32(int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Tensor - Class in org.tensorflow.internal.c_api
TF_Tensor() - Constructor for class org.tensorflow.internal.c_api.TF_Tensor: Empty constructor.
TF_Tensor(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_Tensor: Pointer cast constructor.
TF_TensorBitcastFrom(TF_Tensor, int, TF_Tensor, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TensorBitcastFrom(TF_Tensor, int, TF_Tensor, LongBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TensorBitcastFrom(TF_Tensor, int, TF_Tensor, long[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TensorByteSize(TF_Tensor) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TensorData(TF_Tensor) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TensorElementCount(TF_Tensor) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TensorFromProto(TF_Buffer, TF_Tensor, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TensorIsAligned(TF_Tensor) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TensorMaybeMove(TF_Tensor) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TensorType(TF_Tensor) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TryEvaluateConstant(TF_Graph, TF_Output, PointerPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TryEvaluateConstant(TF_Graph, TF_Output, TF_Tensor, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TSTR_LARGE - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_TString_Type
TF_TSTR_OFFSET - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_TString_Type
TF_TSTR_SMALL - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_TString_Type
TF_TSTR_TYPE_MASK - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_TString_Type
TF_TSTR_VIEW - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_TString_Type
TF_TString - Class in org.tensorflow.internal.c_api
TF_TString() - Constructor for class org.tensorflow.internal.c_api.TF_TString: Default native constructor.
TF_TString(long) - Constructor for class org.tensorflow.internal.c_api.TF_TString: Native array allocator.
TF_TString(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_TString: Pointer cast constructor.
TF_TString_Append(TF_TString, TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_AppendN(TF_TString, BytePointer, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_AppendN(TF_TString, String, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_Assign(TF_TString, TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_AssignView(TF_TString, BytePointer, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_AssignView(TF_TString, String, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_Copy(TF_TString, BytePointer, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_Copy(TF_TString, String, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_Dealloc(TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_GetCapacity(TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_GetDataPointer(TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_GetMutableDataPointer(TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_GetSize(TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_GetType(TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_Init(TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_Large - Class in org.tensorflow.internal.c_api
TF_TString_Large() - Constructor for class org.tensorflow.internal.c_api.TF_TString_Large: Default native constructor.
TF_TString_Large(long) - Constructor for class org.tensorflow.internal.c_api.TF_TString_Large: Native array allocator.
TF_TString_Large(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_TString_Large: Pointer cast constructor.
TF_TSTRING_LITTLE_ENDIAN - Static variable in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_Move(TF_TString, TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_Offset - Class in org.tensorflow.internal.c_api
TF_TString_Offset() - Constructor for class org.tensorflow.internal.c_api.TF_TString_Offset: Default native constructor.
TF_TString_Offset(long) - Constructor for class org.tensorflow.internal.c_api.TF_TString_Offset: Native array allocator.
TF_TString_Offset(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_TString_Offset: Pointer cast constructor.
TF_TString_Raw - Class in org.tensorflow.internal.c_api
TF_TString_Raw() - Constructor for class org.tensorflow.internal.c_api.TF_TString_Raw: Default native constructor.
TF_TString_Raw(long) - Constructor for class org.tensorflow.internal.c_api.TF_TString_Raw: Native array allocator.
TF_TString_Raw(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_TString_Raw: Pointer cast constructor.
TF_TString_Reserve(TF_TString, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_ReserveAmortized(TF_TString, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_Resize(TF_TString, long, byte) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_ResizeUninitialized(TF_TString, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_Small - Class in org.tensorflow.internal.c_api
TF_TString_Small() - Constructor for class org.tensorflow.internal.c_api.TF_TString_Small: Default native constructor.
TF_TString_Small(long) - Constructor for class org.tensorflow.internal.c_api.TF_TString_Small: Native array allocator.
TF_TString_Small(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_TString_Small: Pointer cast constructor.
TF_TString_SmallCapacity - Static variable in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_SmallCapacity() - Static method in class org.tensorflow.internal.c_api.global.tensorflow: enum
TF_TString_ToActualSizeT(long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_ToInternalSizeT(long, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_Union - Class in org.tensorflow.internal.c_api
TF_TString_Union() - Constructor for class org.tensorflow.internal.c_api.TF_TString_Union: Default native constructor.
TF_TString_Union(long) - Constructor for class org.tensorflow.internal.c_api.TF_TString_Union: Native array allocator.
TF_TString_Union(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_TString_Union: Pointer cast constructor.
TF_TString_View - Class in org.tensorflow.internal.c_api
TF_TString_View() - Constructor for class org.tensorflow.internal.c_api.TF_TString_View: Default native constructor.
TF_TString_View(long) - Constructor for class org.tensorflow.internal.c_api.TF_TString_View: Native array allocator.
TF_TString_View(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_TString_View: Pointer cast constructor.
TF_UINT16 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_UINT32 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_UINT64 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_UINT8 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_UNAUTHENTICATED - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_Code
TF_UNAVAILABLE - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_Code
TF_UNIMPLEMENTED - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_Code
TF_UNKNOWN - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_Code
TF_UpdateEdge(TF_Graph, TF_Output, TF_Input, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_VARIANT - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_Version() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.TestResults
TF_WhileParams - Class in org.tensorflow.internal.c_api
TF_WhileParams(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_WhileParams: Pointer cast constructor.
TfCheckOpHelper(NativeStatus, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TfCheckOpHelper(NativeStatus, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TfCheckOpHelperOutOfLine(NativeStatus, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TfCheckOpHelperOutOfLine(NativeStatus, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFDBG_CONTEXT_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.GraphExecutionTrace
TFDBG_RUN_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.DebugMetadata
tfdbgContextId - Variable in class org.tensorflow.op.debugging.DebugIdentity.Inputs: A tfdbg-generated ID for the context that the op belongs to, e.g., a concrete compiled tf.function.
tfdbgContextId(String) - Method in class org.tensorflow.op.debugging.DebugIdentity.Options: Sets the tfdbgContextId option.
tfdbgContextId(String) - Static method in class org.tensorflow.op.debugging.DebugIdentity: Sets the tfdbgContextId option.
tfdbgRunId - Variable in class org.tensorflow.op.debugging.DebugIdentity.Inputs: The tfdbgRunId attribute
tfdbgRunId(String) - Method in class org.tensorflow.op.debugging.DebugIdentity.Options: Sets the tfdbgRunId option.
tfdbgRunId(String) - Static method in class org.tensorflow.op.debugging.DebugIdentity: Sets the tfdbgRunId option.
TFE_Context - Class in org.tensorflow.internal.c_api
TFE_Context() - Constructor for class org.tensorflow.internal.c_api.TFE_Context: Empty constructor.
TFE_Context(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_Context: Pointer cast constructor.
TFE_ContextAddFunction(TFE_Context, TF_Function, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextAddFunctionDef(TFE_Context, BytePointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextAddFunctionDef(TFE_Context, String, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextClearCaches(TFE_Context) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextDisableRunMetadata(TFE_Context) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextEnableRunMetadata(TFE_Context) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextEndStep(TFE_Context) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextExportRunMetadata(TFE_Context, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextGetDevicePlacementPolicy(TFE_Context) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextHasFunction(TFE_Context, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextHasFunction(TFE_Context, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextListDevices(TFE_Context, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextOptions - Class in org.tensorflow.internal.c_api
TFE_ContextOptions() - Constructor for class org.tensorflow.internal.c_api.TFE_ContextOptions: Empty constructor.
TFE_ContextOptions(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_ContextOptions: Pointer cast constructor.
TFE_ContextOptionsSetAsync(TFE_ContextOptions, byte) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextOptionsSetConfig(TFE_ContextOptions, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextOptionsSetDevicePlacementPolicy(TFE_ContextOptions, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextRemoveFunction(TFE_Context, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextRemoveFunction(TFE_Context, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextSetServerDef(TFE_Context, int, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextSetThreadLocalDevicePlacementPolicy(TFE_Context, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextStartStep(TFE_Context) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_CUSTOM_DEVICE_VERSION - Static variable in class org.tensorflow.internal.c_api.global.tensorflow
TFE_DeleteContext(TFE_Context) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_DeleteContextOptions(TFE_ContextOptions) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_DeleteOp(TFE_Op) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_DeleteTensorDebugInfo(TFE_TensorDebugInfo) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_DeleteTensorHandle(TFE_TensorHandle) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_DEVICE_PLACEMENT_EXPLICIT - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TFE_ContextDevicePlacementPolicy
TFE_DEVICE_PLACEMENT_SILENT - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TFE_ContextDevicePlacementPolicy
TFE_DEVICE_PLACEMENT_SILENT_FOR_INT32 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TFE_ContextDevicePlacementPolicy
TFE_DEVICE_PLACEMENT_WARN - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TFE_ContextDevicePlacementPolicy
TFE_Execute(TFE_Op, PointerPointer, IntPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_Execute(TFE_Op, TFE_TensorHandle, IntPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_Execute(TFE_Op, TFE_TensorHandle, IntBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_Execute(TFE_Op, TFE_TensorHandle, int[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_NewContext(TFE_ContextOptions, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_NewContextOptions() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_NewOp(TFE_Context, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_NewOp(TFE_Context, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_NewTensorHandle(TF_Tensor, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_Op - Class in org.tensorflow.internal.c_api
TFE_Op() - Constructor for class org.tensorflow.internal.c_api.TFE_Op: Empty constructor.
TFE_Op(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_Op: Pointer cast constructor.
TFE_OpAddAttrs(TFE_Op, TFE_OpAttrs) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpAddInput(TFE_Op, TFE_TensorHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpAddInputList(TFE_Op, PointerPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpAddInputList(TFE_Op, TFE_TensorHandle, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpAttrs - Class in org.tensorflow.internal.c_api
TFE_OpAttrs() - Constructor for class org.tensorflow.internal.c_api.TFE_OpAttrs: Empty constructor.
TFE_OpAttrs(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_OpAttrs: Pointer cast constructor.
TFE_OpAttrsSerialize(TFE_OpAttrs, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetAttrs(TFE_Op) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetAttrType(TFE_Op, BytePointer, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetAttrType(TFE_Op, String, ByteBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetAttrType(TFE_Op, BytePointer, byte[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetAttrType(TFE_Op, String, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetAttrType(TFE_Op, BytePointer, ByteBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetAttrType(TFE_Op, String, byte[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetContext(TFE_Op, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetDevice(TFE_Op, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetFlatInput(TFE_Op, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetFlatInputCount(TFE_Op, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetInputLength(TFE_Op, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetInputLength(TFE_Op, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetName(TFE_Op, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetOutputLength(TFE_Op, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetOutputLength(TFE_Op, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpNameGetAttrType(TFE_Context, BytePointer, BytePointer, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpNameGetAttrType(TFE_Context, String, String, ByteBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpNameGetAttrType(TFE_Context, BytePointer, BytePointer, byte[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpNameGetAttrType(TFE_Context, String, String, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpNameGetAttrType(TFE_Context, BytePointer, BytePointer, ByteBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpNameGetAttrType(TFE_Context, String, String, byte[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrBool(TFE_Op, BytePointer, byte) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrBool(TFE_Op, String, byte) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrBoolList(TFE_Op, BytePointer, BytePointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrBoolList(TFE_Op, String, ByteBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrBoolList(TFE_Op, BytePointer, byte[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrBoolList(TFE_Op, String, BytePointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrBoolList(TFE_Op, BytePointer, ByteBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrBoolList(TFE_Op, String, byte[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFloat(TFE_Op, BytePointer, float) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFloat(TFE_Op, String, float) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFloatList(TFE_Op, BytePointer, FloatPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFloatList(TFE_Op, String, FloatBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFloatList(TFE_Op, BytePointer, float[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFloatList(TFE_Op, String, FloatPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFloatList(TFE_Op, BytePointer, FloatBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFloatList(TFE_Op, String, float[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFunction(TFE_Op, BytePointer, TFE_Op) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFunction(TFE_Op, String, TFE_Op) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFunctionList(TFE_Op, BytePointer, PointerPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFunctionList(TFE_Op, BytePointer, TFE_Op, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFunctionList(TFE_Op, String, TFE_Op, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFunctionName(TFE_Op, BytePointer, BytePointer, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFunctionName(TFE_Op, String, String, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrInt(TFE_Op, BytePointer, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrInt(TFE_Op, String, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrIntList(TFE_Op, BytePointer, LongPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrIntList(TFE_Op, String, LongBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrIntList(TFE_Op, BytePointer, long[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrIntList(TFE_Op, String, LongPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrIntList(TFE_Op, BytePointer, LongBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrIntList(TFE_Op, String, long[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrShape(TFE_Op, BytePointer, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrShape(TFE_Op, String, LongBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrShape(TFE_Op, BytePointer, long[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrShape(TFE_Op, String, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrShape(TFE_Op, BytePointer, LongBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrShape(TFE_Op, String, long[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrShapeList(TFE_Op, BytePointer, PointerPointer, IntPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrShapeList(TFE_Op, BytePointer, LongPointer, IntPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrShapeList(TFE_Op, String, LongBuffer, IntBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrShapeList(TFE_Op, BytePointer, long[], int[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrShapeList(TFE_Op, String, LongPointer, IntPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrShapeList(TFE_Op, BytePointer, LongBuffer, IntBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrShapeList(TFE_Op, String, long[], int[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrString(TFE_Op, BytePointer, Pointer, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrString(TFE_Op, String, Pointer, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrStringList(TFE_Op, BytePointer, PointerPointer, SizeTPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrStringList(TFE_Op, BytePointer, Pointer, SizeTPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrStringList(TFE_Op, String, Pointer, SizeTPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrTensor(TFE_Op, BytePointer, TF_Tensor, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrTensor(TFE_Op, String, TF_Tensor, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrType(TFE_Op, BytePointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrType(TFE_Op, String, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrTypeList(TFE_Op, BytePointer, IntPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrTypeList(TFE_Op, String, IntBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrTypeList(TFE_Op, BytePointer, int[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrTypeList(TFE_Op, String, IntPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrTypeList(TFE_Op, BytePointer, IntBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrTypeList(TFE_Op, String, int[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrValueProto(TFE_Op, BytePointer, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrValueProto(TFE_Op, String, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetDevice(TFE_Op, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetDevice(TFE_Op, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorDebugInfo - Class in org.tensorflow.internal.c_api
TFE_TensorDebugInfo() - Constructor for class org.tensorflow.internal.c_api.TFE_TensorDebugInfo: Empty constructor.
TFE_TensorDebugInfo(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_TensorDebugInfo: Pointer cast constructor.
TFE_TensorDebugInfoOnDeviceDim(TFE_TensorDebugInfo, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorDebugInfoOnDeviceNumDims(TFE_TensorDebugInfo) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorHandle - Class in org.tensorflow.internal.c_api
TFE_TensorHandle() - Constructor for class org.tensorflow.internal.c_api.TFE_TensorHandle: Empty constructor.
TFE_TensorHandle(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_TensorHandle: Pointer cast constructor.
TFE_TensorHandleBackingDeviceName(TFE_TensorHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorHandleCopySharingTensor(TFE_TensorHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorHandleCopyToDevice(TFE_TensorHandle, TFE_Context, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorHandleCopyToDevice(TFE_TensorHandle, TFE_Context, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorHandleDataType(TFE_TensorHandle) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorHandleDeviceName(TFE_TensorHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorHandleDim(TFE_TensorHandle, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorHandleNumDims(TFE_TensorHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorHandleNumElements(TFE_TensorHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorHandleResolve(TFE_TensorHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorHandleTensorDebugInfo(TFE_TensorHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFFailedPreconditionException - Exception in org.tensorflow.exceptions
TFFailedPreconditionException(String) - Constructor for exception org.tensorflow.exceptions.TFFailedPreconditionException
TFFailedPreconditionException(String, Throwable) - Constructor for exception org.tensorflow.exceptions.TFFailedPreconditionException
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The quantized type of filter tensor that needs to be converted.
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The type of the filter.
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The type of the filter.
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The type of the filter.
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The type of the filter.
TfinalizeFuncArgs - Variable in class org.tensorflow.op.data.GeneratorDataset.Inputs: The TfinalizeFuncArgs attribute
TfinalizeFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: The TfinalizeFuncOtherArguments attribute
TfinalizeFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: The TfinalizeFuncOtherArguments attribute
TFInvalidArgumentException - Exception in org.tensorflow.exceptions
TFInvalidArgumentException(String) - Constructor for exception org.tensorflow.exceptions.TFInvalidArgumentException
TFInvalidArgumentException(String, Throwable) - Constructor for exception org.tensorflow.exceptions.TFInvalidArgumentException
TFloat16 - Interface in org.tensorflow.types: IEEE-754 half-precision 16-bit float tensor type.
TFloat16Mapper - Class in org.tensorflow.internal.types: Maps memory of DataType.DT_HALF tensors to a n-dimensional data space.
TFloat16Mapper() - Constructor for class org.tensorflow.internal.types.TFloat16Mapper
TFloat32 - Interface in org.tensorflow.types: IEEE-754 single-precision 32-bit float tensor type.
TFloat32Mapper - Class in org.tensorflow.internal.types: Maps memory of DataType.DT_FLOAT tensors to a n-dimensional data space.
TFloat32Mapper() - Constructor for class org.tensorflow.internal.types.TFloat32Mapper
TFloat64 - Interface in org.tensorflow.types: IEEE-754 double-precision 64-bit float tensor type.
TFloat64Mapper - Class in org.tensorflow.internal.types: Maps memory of DataType.DT_DOUBLE tensors to a n-dimensional data space.
TFloat64Mapper() - Constructor for class org.tensorflow.internal.types.TFloat64Mapper
TFloating - Interface in org.tensorflow.types.family: Common interface for all floating point tensors.
TFOutOfRangeException - Exception in org.tensorflow.exceptions
TFOutOfRangeException(String) - Constructor for exception org.tensorflow.exceptions.TFOutOfRangeException
TFOutOfRangeException(String, Throwable) - Constructor for exception org.tensorflow.exceptions.TFOutOfRangeException
TFPermissionDeniedException - Exception in org.tensorflow.exceptions
TFPermissionDeniedException(String) - Constructor for exception org.tensorflow.exceptions.TFPermissionDeniedException
TFPermissionDeniedException(String, Throwable) - Constructor for exception org.tensorflow.exceptions.TFPermissionDeniedException
TfRecordDataset - Class in org.tensorflow.op.data: Creates a dataset that emits the records from one or more TFRecord files.
TfRecordDataset(Operation) - Constructor for class org.tensorflow.op.data.TfRecordDataset
tfRecordDataset(Operand<TString>, Operand<TString>, Operand<TInt64>, TfRecordDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that emits the records from one or more TFRecord files.
TfRecordDataset.Inputs - Class in org.tensorflow.op.data
TfRecordDataset.Options - Class in org.tensorflow.op.data: Optional attributes for TfRecordDataset
TfRecordReader - Class in org.tensorflow.op.io: A Reader that outputs the records from a TensorFlow Records file.
TfRecordReader(Operation) - Constructor for class org.tensorflow.op.io.TfRecordReader
tfRecordReader(TfRecordReader.Options...) - Method in class org.tensorflow.op.IoOps: A Reader that outputs the records from a TensorFlow Records file.
TfRecordReader.Inputs - Class in org.tensorflow.op.io
TfRecordReader.Options - Class in org.tensorflow.op.io: Optional attributes for TfRecordReader
TFResourceExhaustedException - Exception in org.tensorflow.exceptions
TFResourceExhaustedException(String) - Constructor for exception org.tensorflow.exceptions.TFResourceExhaustedException
TFResourceExhaustedException(String, Throwable) - Constructor for exception org.tensorflow.exceptions.TFResourceExhaustedException
TFT_ANY_VALUE - Static variable in enum org.tensorflow.proto.framework.FullTypeId: Wildcard type.
TFT_ARRAY_VALUE - Static variable in enum org.tensorflow.proto.framework.FullTypeId: Array (or tensorflow::TensorList in the variant type registry).
TFT_BFLOAT16_VALUE - Static variable in enum org.tensorflow.proto.framework.FullTypeId: TFT_BFLOAT16 = 215;
TFT_BOOL_VALUE - Static variable in enum org.tensorflow.proto.framework.FullTypeId: The bool element type.
TFT_CALLABLE_VALUE - Static variable in enum org.tensorflow.proto.framework.FullTypeId: Callable types describe functions and ops.
TFT_COMPLEX128_VALUE - Static variable in enum org.tensorflow.proto.framework.FullTypeId: TFT_COMPLEX128 = 213;
TFT_COMPLEX64_VALUE - Static variable in enum org.tensorflow.proto.framework.FullTypeId: Complex element types.
TFT_DATASET_VALUE - Static variable in enum org.tensorflow.proto.framework.FullTypeId: Datasets created by tf.data ops and APIs.
TFT_DOUBLE_VALUE - Static variable in enum org.tensorflow.proto.framework.FullTypeId: TFT_DOUBLE = 211;
TFT_FLOAT_VALUE - Static variable in enum org.tensorflow.proto.framework.FullTypeId: TFT_FLOAT = 210;
TFT_HALF_VALUE - Static variable in enum org.tensorflow.proto.framework.FullTypeId: Floating-point element types.
TFT_INT16_VALUE - Static variable in enum org.tensorflow.proto.framework.FullTypeId: TFT_INT16 = 206;
TFT_INT32_VALUE - Static variable in enum org.tensorflow.proto.framework.FullTypeId: TFT_INT32 = 207;
TFT_INT64_VALUE - Static variable in enum org.tensorflow.proto.framework.FullTypeId: TFT_INT64 = 208;
TFT_INT8_VALUE - Static variable in enum org.tensorflow.proto.framework.FullTypeId: TFT_INT8 = 205;
TFT_LITERAL_VALUE - Static variable in enum org.tensorflow.proto.framework.FullTypeId: Literal types describe compile-time constant values.
TFT_MUTEX_LOCK_VALUE - Static variable in enum org.tensorflow.proto.framework.FullTypeId: A mutex lock tensor, produced by tf.raw_ops.MutexLock.
TFT_NAMED_VALUE - Static variable in enum org.tensorflow.proto.framework.FullTypeId: Represents a named field, with the name stored in the attribute.
TFT_OPTIONAL_VALUE - Static variable in enum org.tensorflow.proto.framework.FullTypeId: Optional (or tensorflow::OptionalVariant in the variant type registry).
TFT_PRODUCT_VALUE - Static variable in enum org.tensorflow.proto.framework.FullTypeId: The algebraic product type.
TFT_STRING_VALUE - Static variable in enum org.tensorflow.proto.framework.FullTypeId: The string element type.
TFT_TENSOR_VALUE - Static variable in enum org.tensorflow.proto.framework.FullTypeId: The usual Tensor.
TFT_UINT16_VALUE - Static variable in enum org.tensorflow.proto.framework.FullTypeId: TFT_UINT16 = 202;
TFT_UINT32_VALUE - Static variable in enum org.tensorflow.proto.framework.FullTypeId: TFT_UINT32 = 203;
TFT_UINT64_VALUE - Static variable in enum org.tensorflow.proto.framework.FullTypeId: TFT_UINT64 = 204;
TFT_UINT8_VALUE - Static variable in enum org.tensorflow.proto.framework.FullTypeId: Integer element types.
TFT_UNSET_VALUE - Static variable in enum org.tensorflow.proto.framework.FullTypeId: The default represents an uninitialized values.
TFT_VAR_VALUE - Static variable in enum org.tensorflow.proto.framework.FullTypeId: Type variables may serve as placeholder for any other type ID in type templates.
TFUnauthenticatedException - Exception in org.tensorflow.exceptions
TFUnauthenticatedException(String) - Constructor for exception org.tensorflow.exceptions.TFUnauthenticatedException
TFUnauthenticatedException(String, Throwable) - Constructor for exception org.tensorflow.exceptions.TFUnauthenticatedException
TFUnimplementedException - Exception in org.tensorflow.exceptions
TFUnimplementedException(String) - Constructor for exception org.tensorflow.exceptions.TFUnimplementedException
TFUnimplementedException(String, Throwable) - Constructor for exception org.tensorflow.exceptions.TFUnimplementedException
TguaranteedConstants - Variable in class org.tensorflow.op.tpu.Compile.Inputs: The TguaranteedConstants attribute
THREAD_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NodeExecStats
THREAD_NAMES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DeviceStepStats
THREADING_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.Options
ThreadingOptions - Class in org.tensorflow.proto.data: next: 3
ThreadingOptions.Builder - Class in org.tensorflow.proto.data: next: 3
ThreadingOptions.OptionalMaxIntraOpParallelismCase - Enum in org.tensorflow.proto.data
ThreadingOptions.OptionalPrivateThreadpoolSizeCase - Enum in org.tensorflow.proto.data
ThreadingOptionsOrBuilder - Interface in org.tensorflow.proto.data
threadPool - Variable in class org.tensorflow.op.data.experimental.ThreadPoolDataset.Inputs: A resource produced by the ThreadPoolHandle op.
threadPool - Variable in class org.tensorflow.op.data.ThreadPoolDataset.Inputs: A resource produced by the ThreadPoolHandle op.
ThreadPoolDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that uses a custom thread pool to compute input_dataset.
ThreadPoolDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.ThreadPoolDataset
ThreadPoolDataset - Class in org.tensorflow.op.data: Creates a dataset that uses a custom thread pool to compute input_dataset.
ThreadPoolDataset(Operation) - Constructor for class org.tensorflow.op.data.ThreadPoolDataset
threadPoolDataset(Operand<? extends TType>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Creates a dataset that uses a custom thread pool to compute input_dataset.
ThreadPoolDataset.Inputs - Class in org.tensorflow.op.data.experimental
ThreadPoolDataset.Inputs - Class in org.tensorflow.op.data
ThreadPoolHandle - Class in org.tensorflow.op.data.experimental: Creates a dataset that uses a custom thread pool to compute input_dataset.
ThreadPoolHandle(Operation) - Constructor for class org.tensorflow.op.data.experimental.ThreadPoolHandle
ThreadPoolHandle - Class in org.tensorflow.op.data: Creates a dataset that uses a custom thread pool to compute input_dataset.
ThreadPoolHandle(Operation) - Constructor for class org.tensorflow.op.data.ThreadPoolHandle
ThreadPoolHandle.Inputs - Class in org.tensorflow.op.data.experimental
ThreadPoolHandle.Inputs - Class in org.tensorflow.op.data
ThreadPoolHandle.Options - Class in org.tensorflow.op.data.experimental: Optional attributes for ThreadPoolHandle
ThreadPoolHandle.Options - Class in org.tensorflow.op.data: Optional attributes for ThreadPoolHandle
ThreadPoolOptionProto - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.ThreadPoolOptionProto
ThreadPoolOptionProto.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.ThreadPoolOptionProto
ThreadPoolOptionProtoOrBuilder - Interface in org.tensorflow.proto.framework
thresh - Variable in class org.tensorflow.op.sparse.SparseAdd.Inputs: 0-D.
thresholds() - Method in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplit: Gets thresholds.
thresholds() - Method in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplitV2: Gets thresholds.
thresholds() - Method in class org.tensorflow.op.estimator.BoostedTreesSparseCalculateBestFeatureSplit: Gets thresholds.
thresholds - Variable in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsemble.Inputs: List of rank 1 tensors representing the thesholds for each of the feature's split.
thresholds - Variable in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsembleV2.Inputs: List of rank 1 tensors representing the thesholds for each of the feature's split.
thresholdsList() - Method in class org.tensorflow.op.estimator.BoostedTreesCalculateBestGainsPerFeature: Gets thresholdsList.
THROUGHPUT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.BenchmarkEntry
throwExceptionIfNotOK() - Method in class org.tensorflow.internal.c_api.AbstractTF_Status: Map TF_Code to unchecked exception, and throw if not TF_OK.
TI - Variable in class org.tensorflow.op.core.OneHot.Inputs: The TI attribute
Tidx - Variable in class org.tensorflow.op.core.All.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.Any.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.BatchToSpace.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.BroadcastTo.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.Concat.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.LinSpace.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.Max.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.Min.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.Prod.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.Range.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.ReduceAll.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.ReduceAny.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.ReduceMax.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.ReduceMin.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.ReduceProd.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.ReduceSum.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.Reverse.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.Sum.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.UnravelIndex.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.linalg.EuclideanNorm.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.math.ArgMax.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.math.ArgMin.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.math.Cumprod.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.math.Cumsum.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.math.CumulativeLogsumexp.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.math.DenseBincount.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.math.Mean.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.ragged.RaggedBincount.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.risc.RiscBroadcast.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.risc.RiscConcat.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.risc.RiscReverse.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseBincount.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseSegmentMean.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanGrad.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtN.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseSegmentSum.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseSegmentSumGrad.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs: The Tidx attribute
Tile<T extends TType> - Class in org.tensorflow.op.core: Constructs a tensor by tiling a given tensor.
Tile(Operation) - Constructor for class org.tensorflow.op.core.Tile
tile(Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.Ops: Constructs a tensor by tiling a given tensor.
Tile.Inputs<T extends TType> - Class in org.tensorflow.op.core
TileGrad<T extends TType> - Class in org.tensorflow.op.train: Returns the gradient of Tile.
TileGrad(Operation) - Constructor for class org.tensorflow.op.train.TileGrad
tileGrad(Operand<T>, Operand<TInt32>) - Method in class org.tensorflow.op.TrainOps: Returns the gradient of Tile.
TileGrad.Inputs<T extends TType> - Class in org.tensorflow.op.train
TIMELINE_LABEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NodeExecStats
TIMELINE_STEP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphOptions
timeMajor - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The timeMajor attribute
timeMajor(Boolean) - Method in class org.tensorflow.op.nn.CudnnRNN.Options: Sets the timeMajor option.
timeMajor(Boolean) - Static method in class org.tensorflow.op.nn.CudnnRNN: Sets the timeMajor option.
timeMajor - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The timeMajor attribute
timeMajor(Boolean) - Method in class org.tensorflow.op.nn.CudnnRNNBackprop.Options: Sets the timeMajor option.
timeMajor(Boolean) - Static method in class org.tensorflow.op.nn.CudnnRNNBackprop: Sets the timeMajor option.
TIMEOUT_IN_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RunOptions
TIMEOUT_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.WatchdogConfig
timeoutMicros - Variable in class org.tensorflow.op.core.Unbatch.Inputs: The timeoutMicros attribute
timeoutMs - Variable in class org.tensorflow.op.core.BarrierTakeMany.Inputs: If the queue is empty, this operation will block for up to timeout_ms milliseconds.
timeoutMs(Long) - Method in class org.tensorflow.op.core.BarrierTakeMany.Options: Sets the timeoutMs option.
timeoutMs(Long) - Static method in class org.tensorflow.op.core.BarrierTakeMany: Sets the timeoutMs option.
timeoutMs - Variable in class org.tensorflow.op.io.QueueDequeue.Inputs: If the queue is empty, this operation will block for up to timeout_ms milliseconds.
timeoutMs(Long) - Method in class org.tensorflow.op.io.QueueDequeue.Options: Sets the timeoutMs option.
timeoutMs(Long) - Static method in class org.tensorflow.op.io.QueueDequeue: Sets the timeoutMs option.
timeoutMs - Variable in class org.tensorflow.op.io.QueueDequeueMany.Inputs: If the queue has fewer than n elements, this operation will block for up to timeout_ms milliseconds.
timeoutMs(Long) - Method in class org.tensorflow.op.io.QueueDequeueMany.Options: Sets the timeoutMs option.
timeoutMs(Long) - Static method in class org.tensorflow.op.io.QueueDequeueMany: Sets the timeoutMs option.
timeoutMs - Variable in class org.tensorflow.op.io.QueueDequeueUpTo.Inputs: If the queue has fewer than n elements, this operation will block for up to timeout_ms milliseconds.
timeoutMs(Long) - Method in class org.tensorflow.op.io.QueueDequeueUpTo.Options: Sets the timeoutMs option.
timeoutMs(Long) - Static method in class org.tensorflow.op.io.QueueDequeueUpTo: Sets the timeoutMs option.
timeoutMs - Variable in class org.tensorflow.op.io.QueueEnqueue.Inputs: If the queue is full, this operation will block for up to timeout_ms milliseconds.
timeoutMs(Long) - Method in class org.tensorflow.op.io.QueueEnqueue.Options: Sets the timeoutMs option.
timeoutMs(Long) - Static method in class org.tensorflow.op.io.QueueEnqueue: Sets the timeoutMs option.
timeoutMs - Variable in class org.tensorflow.op.io.QueueEnqueueMany.Inputs: If the queue is too full, this operation will block for up to timeout_ms milliseconds.
timeoutMs(Long) - Method in class org.tensorflow.op.io.QueueEnqueueMany.Options: Sets the timeoutMs option.
timeoutMs(Long) - Static method in class org.tensorflow.op.io.QueueEnqueueMany: Sets the timeoutMs option.
timeoutSeconds - Variable in class org.tensorflow.op.collective.CollectiveAllToAll.Inputs: The timeoutSeconds attribute
timeoutSeconds(Float) - Method in class org.tensorflow.op.collective.CollectiveAllToAll.Options: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Static method in class org.tensorflow.op.collective.CollectiveAllToAll: Sets the timeoutSeconds option.
timeoutSeconds - Variable in class org.tensorflow.op.collective.CollectiveBcastRecv.Inputs: The timeoutSeconds attribute
timeoutSeconds(Float) - Method in class org.tensorflow.op.collective.CollectiveBcastRecv.Options: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Static method in class org.tensorflow.op.collective.CollectiveBcastRecv: Sets the timeoutSeconds option.
timeoutSeconds - Variable in class org.tensorflow.op.collective.CollectiveBcastSend.Inputs: The timeoutSeconds attribute
timeoutSeconds(Float) - Method in class org.tensorflow.op.collective.CollectiveBcastSend.Options: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Static method in class org.tensorflow.op.collective.CollectiveBcastSend: Sets the timeoutSeconds option.
timeoutSeconds - Variable in class org.tensorflow.op.collective.CollectiveGather.Inputs: The timeoutSeconds attribute
timeoutSeconds(Float) - Method in class org.tensorflow.op.collective.CollectiveGather.Options: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Static method in class org.tensorflow.op.collective.CollectiveGather: Sets the timeoutSeconds option.
timeoutSeconds - Variable in class org.tensorflow.op.collective.CollectiveInitializeCommunicator.Inputs: The timeoutSeconds attribute
timeoutSeconds(Float) - Method in class org.tensorflow.op.collective.CollectiveInitializeCommunicator.Options: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Static method in class org.tensorflow.op.collective.CollectiveInitializeCommunicator: Sets the timeoutSeconds option.
timeoutSeconds - Variable in class org.tensorflow.op.collective.CollectiveReduce.Inputs: The timeoutSeconds attribute
timeoutSeconds(Float) - Method in class org.tensorflow.op.collective.CollectiveReduce.Options: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Static method in class org.tensorflow.op.collective.CollectiveReduce: Sets the timeoutSeconds option.
Timestamp - Class in org.tensorflow.op.core: Provides the time since epoch in seconds.
Timestamp(Operation) - Constructor for class org.tensorflow.op.core.Timestamp
timestamp() - Method in class org.tensorflow.op.Ops: Provides the time since epoch in seconds.
Timestamp.Inputs - Class in org.tensorflow.op.core
TIMESTAMP_NS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XLine
TIMESTAMPED_ALLOCATOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GPUOptions.Experimental
Tin - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: the types of tensors to be batched.
Tin - Variable in class org.tensorflow.op.core.LookupTableFind.Inputs: The Tin attribute
Tin - Variable in class org.tensorflow.op.core.LookupTableImport.Inputs: The Tin attribute
Tin - Variable in class org.tensorflow.op.core.LookupTableInsert.Inputs: The Tin attribute
Tin - Variable in class org.tensorflow.op.core.LookupTableRemove.Inputs: The Tin attribute
Tin - Variable in class org.tensorflow.op.core.RemoteCall.Inputs: The type list for the arguments.
Tin - Variable in class org.tensorflow.op.core.StatefulCase.Inputs: A list of input types.
Tin - Variable in class org.tensorflow.op.core.StatefulIf.Inputs: A list of input types.
Tin - Variable in class org.tensorflow.op.core.StatefulPartitionedCall.Inputs: A list of input types.
Tin - Variable in class org.tensorflow.op.core.StatelessCase.Inputs: A list of input types.
Tin - Variable in class org.tensorflow.op.core.StatelessIf.Inputs: A list of input types.
Tin - Variable in class org.tensorflow.op.core.StatelessPartitionedCall.Inputs: A list of input types.
Tin - Variable in class org.tensorflow.op.tpu.PartitionedCall.Inputs: The types of the arguments to the function.
Tin - Variable in class org.tensorflow.op.train.SymbolicGradient.Inputs: the type list for the input list.
Tin - Variable in class org.tensorflow.op.xla.If.Inputs: The Tin attribute
Tindex - Variable in class org.tensorflow.op.linalg.BandPart.Inputs: The Tindex attribute
Tindex - Variable in class org.tensorflow.op.ragged.RaggedTensorToTensor.Inputs: The Tindex attribute
Tindices - Variable in class org.tensorflow.op.core.Gather.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.GatherNd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceGather.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceGatherNd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterAdd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterDiv.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterMax.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterMin.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterMul.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterNdAdd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterNdMax.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterNdMin.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterNdSub.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterNdUpdate.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterSub.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterUpdate.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterAdd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterDiv.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterMax.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterMin.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterMul.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterNd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterNdAdd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterNdMax.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterNdMin.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterNdNonAliasingAdd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterNdSub.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterNdUpdate.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterSub.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterUpdate.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.TensorScatterNdAdd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.TensorScatterNdMax.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.TensorScatterNdMin.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.TensorScatterNdSub.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.TensorScatterNdUpdate.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.math.SegmentMax.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.math.SegmentMean.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.math.SegmentMin.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.math.SegmentProd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.math.SegmentSum.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.math.UnsortedSegmentMax.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.math.UnsortedSegmentMin.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.math.UnsortedSegmentProd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.math.UnsortedSegmentSum.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.ragged.RaggedGather.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.risc.RiscGather.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.risc.RiscScatter.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.sparse.SparseTensorDenseAdd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.sparse.SparseToDense.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.strings.UnsortedSegmentJoin.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.xla.BroadcastHelper.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.xla.Conv.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.xla.DynamicSlice.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.xla.DynamicUpdateSlice.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.xla.Gather.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.xla.Pad.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.xla.ReduceWindow.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.xla.Scatter.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.xla.SelectAndScatter.Inputs: The Tindices attribute
TinitFuncArgs - Variable in class org.tensorflow.op.data.GeneratorDataset.Inputs: The TinitFuncArgs attribute
TinitFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: The TinitFuncOtherArguments attribute
TinitFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: The TinitFuncOtherArguments attribute
TInput - Variable in class org.tensorflow.op.nn.MaxPool3dGrad.Inputs: The TInput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The quantized type of input tensor that needs to be converted.
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The type of the input.
Tinput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The type of the input.
Tinput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The type of the input.
Tinput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The type of the input.
Tinput - Variable in class org.tensorflow.op.nn.QuantizedRelu.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedRelu6.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedReluX.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange.Inputs: The type of the input.
Tinput - Variable in class org.tensorflow.op.quantization.RequantizationRange.Inputs: The type of the input.
Tinput - Variable in class org.tensorflow.op.quantization.Requantize.Inputs: The type of the input.
Tinput - Variable in class org.tensorflow.op.xla.XlaSendToHost.Inputs: The Tinput attribute
Tinputs - Variable in class org.tensorflow.op.core.MlirPassthroughOp.Inputs: The Tinputs attribute
Tinputs - Variable in class org.tensorflow.op.data.WindowOp.Inputs: The Tinputs attribute
Tinputs - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: The element types of each element in `inputs`.
TinputTypes - Variable in class org.tensorflow.op.core.EncodeProto.Inputs: The input types.
TInt32 - Interface in org.tensorflow.types: 32-bit signed integer tensor type.
TInt32Mapper - Class in org.tensorflow.internal.types: Maps memory of DataType.DT_INT32 tensors to a n-dimensional data space.
TInt32Mapper() - Constructor for class org.tensorflow.internal.types.TInt32Mapper
TInt64 - Interface in org.tensorflow.types: 64-bit signed integer tensor type.
TInt64Mapper - Class in org.tensorflow.internal.types: Maps memory of DataType.DT_INT64 tensors to a n-dimensional data space.
TInt64Mapper() - Constructor for class org.tensorflow.internal.types.TInt64Mapper
TIntegral - Interface in org.tensorflow.types.family: Common interface for all integral numeric tensors.
Tkey - Variable in class org.tensorflow.op.core.InitializeTable.Inputs: The Tkey attribute
TkeyFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: The TkeyFuncOtherArguments attribute
TkeyFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs: The TkeyFuncOtherArguments attribute
TkeyFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: The TkeyFuncOtherArguments attribute
TkeyFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The TkeyFuncOtherArguments attribute
Tkeys - Variable in class org.tensorflow.op.core.LookupTableExport.Inputs: The Tkeys attribute
Tlabels - Variable in class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits.Inputs: The Tlabels attribute
Tlen - Variable in class org.tensorflow.op.core.ReverseSequence.Inputs: The Tlen attribute
Tlen - Variable in class org.tensorflow.op.core.SplitV.Inputs: The Tlen attribute
tMax - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the highest quantized input.
tMin - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the lowest quantized input.
Tmultiples - Variable in class org.tensorflow.op.core.Tile.Inputs: The Tmultiples attribute
TnextFuncArgs - Variable in class org.tensorflow.op.data.GeneratorDataset.Inputs: The TnextFuncArgs attribute
TNumber - Interface in org.tensorflow.types.family: Common interface for all numeric tensors.
Tnumsegments - Variable in class org.tensorflow.op.math.UnsortedSegmentMax.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.math.UnsortedSegmentMin.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.math.UnsortedSegmentProd.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.math.UnsortedSegmentSum.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.strings.UnsortedSegmentJoin.Inputs: The Tnumsegments attribute
TO_TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorConnection
ToBool - Class in org.tensorflow.op.dtypes: Converts a tensor to a scalar predicate.
ToBool(Operation) - Constructor for class org.tensorflow.op.dtypes.ToBool
ToBool.Inputs - Class in org.tensorflow.op.dtypes
toBooleans(TF_Tensor) - Static method in class org.tensorflow.internal.buffer.TensorBuffers: Maps tensor memory as a buffer of booleans.
toBuilder() - Method in class org.tensorflow.proto.data.AutotuneOptions
toBuilder() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
toBuilder() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
toBuilder() - Method in class org.tensorflow.proto.data.DistributeOptions
toBuilder() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
toBuilder() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
toBuilder() - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
toBuilder() - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord
toBuilder() - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
toBuilder() - Method in class org.tensorflow.proto.data.experimental.TensorMetadata
toBuilder() - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
toBuilder() - Method in class org.tensorflow.proto.data.model.ModelProto.Node
toBuilder() - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
toBuilder() - Method in class org.tensorflow.proto.data.model.ModelProto
toBuilder() - Method in class org.tensorflow.proto.data.OptimizationOptions
toBuilder() - Method in class org.tensorflow.proto.data.Options
toBuilder() - Method in class org.tensorflow.proto.data.ThreadingOptions
toBuilder() - Method in class org.tensorflow.proto.distruntime.ClusterDef
toBuilder() - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
toBuilder() - Method in class org.tensorflow.proto.distruntime.JobDef
toBuilder() - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters
toBuilder() - Method in class org.tensorflow.proto.distruntime.ServerDef
toBuilder() - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
toBuilder() - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
toBuilder() - Method in class org.tensorflow.proto.example.BytesList
toBuilder() - Method in class org.tensorflow.proto.example.Example
toBuilder() - Method in class org.tensorflow.proto.example.ExampleParserConfiguration
toBuilder() - Method in class org.tensorflow.proto.example.Feature
toBuilder() - Method in class org.tensorflow.proto.example.FeatureConfiguration
toBuilder() - Method in class org.tensorflow.proto.example.FeatureList
toBuilder() - Method in class org.tensorflow.proto.example.FeatureLists
toBuilder() - Method in class org.tensorflow.proto.example.Features
toBuilder() - Method in class org.tensorflow.proto.example.FixedLenFeatureProto
toBuilder() - Method in class org.tensorflow.proto.example.FloatList
toBuilder() - Method in class org.tensorflow.proto.example.Int64List
toBuilder() - Method in class org.tensorflow.proto.example.SequenceExample
toBuilder() - Method in class org.tensorflow.proto.example.VarLenFeatureProto
toBuilder() - Method in class org.tensorflow.proto.framework.AllocationDescription
toBuilder() - Method in class org.tensorflow.proto.framework.AllocationRecord
toBuilder() - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
toBuilder() - Method in class org.tensorflow.proto.framework.ApiDef.Arg
toBuilder() - Method in class org.tensorflow.proto.framework.ApiDef.Attr
toBuilder() - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint
toBuilder() - Method in class org.tensorflow.proto.framework.ApiDef
toBuilder() - Method in class org.tensorflow.proto.framework.ApiDefs
toBuilder() - Method in class org.tensorflow.proto.framework.AssetFileDef
toBuilder() - Method in class org.tensorflow.proto.framework.AttrValue.ListValue
toBuilder() - Method in class org.tensorflow.proto.framework.AttrValue
toBuilder() - Method in class org.tensorflow.proto.framework.AutoParallelOptions
toBuilder() - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
toBuilder() - Method in class org.tensorflow.proto.framework.CallableOptions
toBuilder() - Method in class org.tensorflow.proto.framework.CapturedTensor
toBuilder() - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList
toBuilder() - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList
toBuilder() - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList
toBuilder() - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List
toBuilder() - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList
toBuilder() - Method in class org.tensorflow.proto.framework.CollectionDef
toBuilder() - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
toBuilder() - Method in class org.tensorflow.proto.framework.CondContextDef
toBuilder() - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental
toBuilder() - Method in class org.tensorflow.proto.framework.ConfigProto
toBuilder() - Method in class org.tensorflow.proto.framework.ControlFlowContextDef
toBuilder() - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
toBuilder() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
toBuilder() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
toBuilder() - Method in class org.tensorflow.proto.framework.CostGraphDef.Node
toBuilder() - Method in class org.tensorflow.proto.framework.CostGraphDef
toBuilder() - Method in class org.tensorflow.proto.framework.DebuggedSourceFile
toBuilder() - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles
toBuilder() - Method in class org.tensorflow.proto.framework.DebugOptions
toBuilder() - Method in class org.tensorflow.proto.framework.DebugTensorWatch
toBuilder() - Method in class org.tensorflow.proto.framework.DeviceAttributes
toBuilder() - Method in class org.tensorflow.proto.framework.DeviceLocality
toBuilder() - Method in class org.tensorflow.proto.framework.DeviceProperties
toBuilder() - Method in class org.tensorflow.proto.framework.DeviceStepStats
toBuilder() - Method in class org.tensorflow.proto.framework.DictValue
toBuilder() - Method in class org.tensorflow.proto.framework.FullTypeDef
toBuilder() - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
toBuilder() - Method in class org.tensorflow.proto.framework.FunctionDef
toBuilder() - Method in class org.tensorflow.proto.framework.FunctionDefLibrary
toBuilder() - Method in class org.tensorflow.proto.framework.FunctionSpec
toBuilder() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental
toBuilder() - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
toBuilder() - Method in class org.tensorflow.proto.framework.GPUOptions
toBuilder() - Method in class org.tensorflow.proto.framework.GradientDef
toBuilder() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
toBuilder() - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
toBuilder() - Method in class org.tensorflow.proto.framework.GraphDebugInfo
toBuilder() - Method in class org.tensorflow.proto.framework.GraphDef
toBuilder() - Method in class org.tensorflow.proto.framework.GraphOptions
toBuilder() - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
toBuilder() - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
toBuilder() - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
toBuilder() - Method in class org.tensorflow.proto.framework.GraphTransferInfo
toBuilder() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
toBuilder() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput
toBuilder() - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
toBuilder() - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
toBuilder() - Method in class org.tensorflow.proto.framework.HistogramProto
toBuilder() - Method in class org.tensorflow.proto.framework.InterconnectLink
toBuilder() - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
toBuilder() - Method in class org.tensorflow.proto.framework.KernelDef
toBuilder() - Method in class org.tensorflow.proto.framework.KernelList
toBuilder() - Method in class org.tensorflow.proto.framework.ListValue
toBuilder() - Method in class org.tensorflow.proto.framework.LocalLinks
toBuilder() - Method in class org.tensorflow.proto.framework.LogNormalDistribution
toBuilder() - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
toBuilder() - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
toBuilder() - Method in class org.tensorflow.proto.framework.MemoryLogStep
toBuilder() - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
toBuilder() - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
toBuilder() - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
toBuilder() - Method in class org.tensorflow.proto.framework.MemoryStats
toBuilder() - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
toBuilder() - Method in class org.tensorflow.proto.framework.MetaGraphDef
toBuilder() - Method in class org.tensorflow.proto.framework.NameAttrList
toBuilder() - Method in class org.tensorflow.proto.framework.NamedDevice
toBuilder() - Method in class org.tensorflow.proto.framework.NamedTensorProto
toBuilder() - Method in class org.tensorflow.proto.framework.NamedTupleValue
toBuilder() - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
toBuilder() - Method in class org.tensorflow.proto.framework.NodeDef
toBuilder() - Method in class org.tensorflow.proto.framework.NodeExecStats
toBuilder() - Method in class org.tensorflow.proto.framework.NodeOutput
toBuilder() - Method in class org.tensorflow.proto.framework.NoneValue
toBuilder() - Method in class org.tensorflow.proto.framework.NormalDistribution
toBuilder() - Method in class org.tensorflow.proto.framework.OpDef.ArgDef
toBuilder() - Method in class org.tensorflow.proto.framework.OpDef.AttrDef
toBuilder() - Method in class org.tensorflow.proto.framework.OpDef
toBuilder() - Method in class org.tensorflow.proto.framework.OpDeprecation
toBuilder() - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
toBuilder() - Method in class org.tensorflow.proto.framework.OpInfo
toBuilder() - Method in class org.tensorflow.proto.framework.OpList
toBuilder() - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
toBuilder() - Method in class org.tensorflow.proto.framework.OpPerformance
toBuilder() - Method in class org.tensorflow.proto.framework.OpPerformanceList
toBuilder() - Method in class org.tensorflow.proto.framework.OptimizerOptions
toBuilder() - Method in class org.tensorflow.proto.framework.PairValue
toBuilder() - Method in class org.tensorflow.proto.framework.QueueRunnerDef
toBuilder() - Method in class org.tensorflow.proto.framework.ReaderBaseState
toBuilder() - Method in class org.tensorflow.proto.framework.RegisteredGradient
toBuilder() - Method in class org.tensorflow.proto.framework.RemoteTensorHandle
toBuilder() - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
toBuilder() - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
toBuilder() - Method in class org.tensorflow.proto.framework.ResourceHandleProto
toBuilder() - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
toBuilder() - Method in class org.tensorflow.proto.framework.RewriterConfig
toBuilder() - Method in class org.tensorflow.proto.framework.RPCOptions
toBuilder() - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
toBuilder() - Method in class org.tensorflow.proto.framework.RunMetadata
toBuilder() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
toBuilder() - Method in class org.tensorflow.proto.framework.RunOptions.Experimental
toBuilder() - Method in class org.tensorflow.proto.framework.RunOptions
toBuilder() - Method in class org.tensorflow.proto.framework.SaveableObject
toBuilder() - Method in class org.tensorflow.proto.framework.SavedAsset
toBuilder() - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
toBuilder() - Method in class org.tensorflow.proto.framework.SavedConcreteFunction
toBuilder() - Method in class org.tensorflow.proto.framework.SavedConstant
toBuilder() - Method in class org.tensorflow.proto.framework.SavedFunction
toBuilder() - Method in class org.tensorflow.proto.framework.SavedModel
toBuilder() - Method in class org.tensorflow.proto.framework.SavedObject
toBuilder() - Method in class org.tensorflow.proto.framework.SavedObjectGraph
toBuilder() - Method in class org.tensorflow.proto.framework.SavedResource
toBuilder() - Method in class org.tensorflow.proto.framework.SavedUserObject
toBuilder() - Method in class org.tensorflow.proto.framework.SavedVariable
toBuilder() - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef
toBuilder() - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
toBuilder() - Method in class org.tensorflow.proto.framework.SessionInfo
toBuilder() - Method in class org.tensorflow.proto.framework.SessionMetadata
toBuilder() - Method in class org.tensorflow.proto.framework.SignatureDef
toBuilder() - Method in class org.tensorflow.proto.framework.Status.DerivedStatus
toBuilder() - Method in class org.tensorflow.proto.framework.StepStats
toBuilder() - Method in class org.tensorflow.proto.framework.StructuredValue
toBuilder() - Method in class org.tensorflow.proto.framework.Summary.Audio
toBuilder() - Method in class org.tensorflow.proto.framework.Summary.Image
toBuilder() - Method in class org.tensorflow.proto.framework.Summary
toBuilder() - Method in class org.tensorflow.proto.framework.Summary.Value
toBuilder() - Method in class org.tensorflow.proto.framework.SummaryDescription
toBuilder() - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
toBuilder() - Method in class org.tensorflow.proto.framework.SummaryMetadata
toBuilder() - Method in class org.tensorflow.proto.framework.TensorConnection
toBuilder() - Method in class org.tensorflow.proto.framework.TensorDescription
toBuilder() - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
toBuilder() - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
toBuilder() - Method in class org.tensorflow.proto.framework.TensorInfo
toBuilder() - Method in class org.tensorflow.proto.framework.TensorProto
toBuilder() - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
toBuilder() - Method in class org.tensorflow.proto.framework.TensorShapeProto
toBuilder() - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
toBuilder() - Method in class org.tensorflow.proto.framework.TensorSliceProto
toBuilder() - Method in class org.tensorflow.proto.framework.TensorSpecProto
toBuilder() - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
toBuilder() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph
toBuilder() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
toBuilder() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
toBuilder() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
toBuilder() - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
toBuilder() - Method in class org.tensorflow.proto.framework.TupleValue
toBuilder() - Method in class org.tensorflow.proto.framework.TypeSpecProto
toBuilder() - Method in class org.tensorflow.proto.framework.ValuesDef
toBuilder() - Method in class org.tensorflow.proto.framework.VariableDef
toBuilder() - Method in class org.tensorflow.proto.framework.VariantTensorDataProto
toBuilder() - Method in class org.tensorflow.proto.framework.VerifierConfig
toBuilder() - Method in class org.tensorflow.proto.framework.VersionDef
toBuilder() - Method in class org.tensorflow.proto.framework.WhileContextDef
toBuilder() - Method in class org.tensorflow.proto.profiler.ProfileOptions
toBuilder() - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
toBuilder() - Method in class org.tensorflow.proto.profiler.XEvent
toBuilder() - Method in class org.tensorflow.proto.profiler.XEventMetadata
toBuilder() - Method in class org.tensorflow.proto.profiler.XLine
toBuilder() - Method in class org.tensorflow.proto.profiler.XPlane
toBuilder() - Method in class org.tensorflow.proto.profiler.XSpace
toBuilder() - Method in class org.tensorflow.proto.profiler.XStat
toBuilder() - Method in class org.tensorflow.proto.profiler.XStatMetadata
toBuilder() - Method in class org.tensorflow.proto.util.BinSummary
toBuilder() - Method in class org.tensorflow.proto.util.BundleEntryProto
toBuilder() - Method in class org.tensorflow.proto.util.BundleHeaderProto
toBuilder() - Method in class org.tensorflow.proto.util.CodeLocation
toBuilder() - Method in class org.tensorflow.proto.util.DebugEvent
toBuilder() - Method in class org.tensorflow.proto.util.DebuggedDevice
toBuilder() - Method in class org.tensorflow.proto.util.DebuggedGraph
toBuilder() - Method in class org.tensorflow.proto.util.DebugMetadata
toBuilder() - Method in class org.tensorflow.proto.util.Event
toBuilder() - Method in class org.tensorflow.proto.util.Execution
toBuilder() - Method in class org.tensorflow.proto.util.GraphExecutionTrace
toBuilder() - Method in class org.tensorflow.proto.util.GraphOpCreation
toBuilder() - Method in class org.tensorflow.proto.util.LogMessage: Deprecated.
toBuilder() - Method in class org.tensorflow.proto.util.MemAllocatorStats
toBuilder() - Method in class org.tensorflow.proto.util.MemChunk
toBuilder() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
toBuilder() - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
toBuilder() - Method in class org.tensorflow.proto.util.MemoryDump
toBuilder() - Method in class org.tensorflow.proto.util.RequestedExitCode
toBuilder() - Method in class org.tensorflow.proto.util.SavedSlice
toBuilder() - Method in class org.tensorflow.proto.util.SavedSliceMeta
toBuilder() - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta
toBuilder() - Method in class org.tensorflow.proto.util.SavedTensorSlices
toBuilder() - Method in class org.tensorflow.proto.util.SaverDef
toBuilder() - Method in class org.tensorflow.proto.util.SessionLog
toBuilder() - Method in class org.tensorflow.proto.util.SnapShot
toBuilder() - Method in class org.tensorflow.proto.util.SourceFile
toBuilder() - Method in class org.tensorflow.proto.util.StackFrameWithId
toBuilder() - Method in class org.tensorflow.proto.util.TaggedRunMetadata
toBuilder() - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
toBuilder() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
toBuilder() - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
toBuilder() - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration
toBuilder() - Method in class org.tensorflow.proto.util.testlog.CommitId
toBuilder() - Method in class org.tensorflow.proto.util.testlog.CPUInfo
toBuilder() - Method in class org.tensorflow.proto.util.testlog.EntryValue
toBuilder() - Method in class org.tensorflow.proto.util.testlog.GPUInfo
toBuilder() - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration
toBuilder() - Method in class org.tensorflow.proto.util.testlog.MemoryInfo
toBuilder() - Method in class org.tensorflow.proto.util.testlog.MetricEntry
toBuilder() - Method in class org.tensorflow.proto.util.testlog.PlatformInfo
toBuilder() - Method in class org.tensorflow.proto.util.testlog.RunConfiguration
toBuilder() - Method in class org.tensorflow.proto.util.testlog.TestResults
toBuilder() - Method in class org.tensorflow.proto.util.WatchdogConfig
toBuilder() - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
toBuilder() - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
toBytes(TF_Tensor) - Static method in class org.tensorflow.internal.buffer.TensorBuffers: Maps tensor memory as a buffer of bytes.
toBytes(TF_Tensor, boolean) - Static method in class org.tensorflow.internal.buffer.TensorBuffers: Maps tensor memory as a buffer of bytes.
toDataType(Class<? extends T>) - Static method in class org.tensorflow.op.Operands: Converts a tensor type class to a DataType attribute.
toDataTypes(Collection<Class<? extends T>>) - Static method in class org.tensorflow.op.Operands: Converts a list of tensor type classes to an array of DataType attributes.
toDoubles(TF_Tensor) - Static method in class org.tensorflow.internal.buffer.TensorBuffers: Maps tensor memory as a buffer of doubles.
toFloats(TF_Tensor) - Static method in class org.tensorflow.internal.buffer.TensorBuffers: Maps tensor memory as a buffer of floats.
toGraphDef() - Method in class org.tensorflow.Graph: Generate a representation of the Graph.
ToHashBucket - Class in org.tensorflow.op.strings: Converts each string in the input Tensor to its hash mod by a number of buckets.
ToHashBucket(Operation) - Constructor for class org.tensorflow.op.strings.ToHashBucket
toHashBucket(Operand<TString>, Long) - Method in class org.tensorflow.op.StringsOps: Converts each string in the input Tensor to its hash mod by a number of buckets.
ToHashBucket.Inputs - Class in org.tensorflow.op.strings
ToHashBucketFast - Class in org.tensorflow.op.strings: Converts each string in the input Tensor to its hash mod by a number of buckets.
ToHashBucketFast(Operation) - Constructor for class org.tensorflow.op.strings.ToHashBucketFast
toHashBucketFast(Operand<TString>, Long) - Method in class org.tensorflow.op.StringsOps: Converts each string in the input Tensor to its hash mod by a number of buckets.
ToHashBucketFast.Inputs - Class in org.tensorflow.op.strings
ToHashBucketStrong - Class in org.tensorflow.op.strings: Converts each string in the input Tensor to its hash mod by a number of buckets.
ToHashBucketStrong(Operation) - Constructor for class org.tensorflow.op.strings.ToHashBucketStrong
toHashBucketStrong(Operand<TString>, Long, List<Long>) - Method in class org.tensorflow.op.StringsOps: Converts each string in the input Tensor to its hash mod by a number of buckets.
ToHashBucketStrong.Inputs - Class in org.tensorflow.op.strings
toInts(TF_Tensor) - Static method in class org.tensorflow.internal.buffer.TensorBuffers: Maps tensor memory as a buffer of integers.
tolerance - Variable in class org.tensorflow.op.math.ApproximateEqual.Inputs: The tolerance attribute
tolerance(Float) - Method in class org.tensorflow.op.math.ApproximateEqual.Options: Sets the tolerance option.
tolerance(Float) - Static method in class org.tensorflow.op.math.ApproximateEqual: Sets the tolerance option.
TOLERATE_DEBUG_OP_CREATION_FAILURES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DebugTensorWatch
toLongs(TF_Tensor) - Static method in class org.tensorflow.internal.buffer.TensorBuffers: Maps tensor memory as a buffer of longs.
ToNumber<T extends TNumber> - Class in org.tensorflow.op.strings: Converts each string in the input Tensor to the specified numeric type.
ToNumber(Operation) - Constructor for class org.tensorflow.op.strings.ToNumber
toNumber(Operand<TString>) - Method in class org.tensorflow.op.StringsOps: Converts each string in the input Tensor to the specified numeric type.
toNumber(Operand<TString>, Class<T>) - Method in class org.tensorflow.op.StringsOps: Converts each string in the input Tensor to the specified numeric type.
ToNumber.Inputs - Class in org.tensorflow.op.strings
topk() - Method in class org.tensorflow.op.core.TopKUnique: Gets topk.
topk() - Method in class org.tensorflow.op.core.TopKWithUnique: Gets topk.
TopK<T extends TNumber> - Class in org.tensorflow.op.nn: Finds values and indices of the k largest elements for the last dimension.
TopK(Operation) - Constructor for class org.tensorflow.op.nn.TopK
topK(Operand<T>, Operand<TInt32>, TopK.Options...) - Method in class org.tensorflow.op.NnOps: Finds values and indices of the k largest elements for the last dimension.
TopK.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
TopK.Options - Class in org.tensorflow.op.nn: Optional attributes for TopK
topkIndices() - Method in class org.tensorflow.op.core.TopKUnique: Gets topkIndices.
topkIndices() - Method in class org.tensorflow.op.core.TopKWithUnique: Gets topkIndices.
TopKUnique - Class in org.tensorflow.op.core: Returns the TopK unique values in the array in sorted order.
TopKUnique(Operation) - Constructor for class org.tensorflow.op.core.TopKUnique
topKUnique(Operand<TFloat32>, Long) - Method in class org.tensorflow.op.Ops: Returns the TopK unique values in the array in sorted order.
TopKUnique.Inputs - Class in org.tensorflow.op.core
TopKWithUnique - Class in org.tensorflow.op.core: Returns the TopK values in the array in sorted order.
TopKWithUnique(Operation) - Constructor for class org.tensorflow.op.core.TopKWithUnique
topKWithUnique(Operand<TFloat32>, Long) - Method in class org.tensorflow.op.Ops: Returns the TopK values in the array in sorted order.
TopKWithUnique.Inputs - Class in org.tensorflow.op.core
topology() - Method in class org.tensorflow.op.tpu.ConfigureDistributedTPU: Gets topology.
topology - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: TopologyProto indicating the topology of the TPU pod slice.
topology(String) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the topology option.
topology(String) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the topology option.
topology - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

TopologyProto indicating the topology of the TPU pod slice.
topology(String) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the topology option.
topology(String) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the topology option.
toShorts(TF_Tensor) - Static method in class org.tensorflow.internal.buffer.TensorBuffers: Maps tensor memory as a buffer of shorts.
toString() - Method in class org.tensorflow.ConcreteFunction
toString() - Method in class org.tensorflow.DeviceSpec
toString() - Method in class org.tensorflow.internal.c_api.NativeOutputVector
ToString() - Method in class org.tensorflow.internal.c_api.NativeStatus: \brief Return a string representation of this status suitable for printing.
toString() - Method in class org.tensorflow.op.RawOp
toString() - Method in class org.tensorflow.op.RawOpInputs
toString() - Method in class org.tensorflow.Output
toString() - Method in class org.tensorflow.RawTensor: Returns a string describing the type and shape of the tensor.
toString() - Method in class org.tensorflow.Signature
toStrings(TF_Tensor, long) - Static method in class org.tensorflow.internal.buffer.TensorBuffers: Maps tensor memory as a buffer of byte sequences, often used to store string values.
TOTAL_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AllocatorMemoryUsed
TOTAL_BYTES_IN_BIN_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.BinSummary
TOTAL_BYTES_IN_USE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.BinSummary
TOTAL_CHUNKS_IN_BIN_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.BinSummary
TOTAL_CHUNKS_IN_USE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.BinSummary
TOTAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.MemoryInfo
total_size() - Method in class org.tensorflow.internal.c_api.TF_AttrMetadata
total_size(long) - Method in class org.tensorflow.internal.c_api.TF_AttrMetadata
totalSize - Variable in class org.tensorflow.op.AttributeMetadata: The total size of this attribute.
totalWordsProcessed() - Method in class org.tensorflow.op.core.Skipgram: Gets totalWordsProcessed.
Tout - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: the types of the output tensors.
Tout - Variable in class org.tensorflow.op.core.LookupTableFind.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.core.LookupTableImport.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.core.LookupTableInsert.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.core.RemoteCall.Inputs: The type list for the return values.
Tout - Variable in class org.tensorflow.op.core.StatefulCase.Inputs: A list of output types.
Tout - Variable in class org.tensorflow.op.core.StatefulIf.Inputs: A list of output types.
Tout - Variable in class org.tensorflow.op.core.StatefulPartitionedCall.Inputs: A list of output types.
Tout - Variable in class org.tensorflow.op.core.StatelessCase.Inputs: A list of output types.
Tout - Variable in class org.tensorflow.op.core.StatelessIf.Inputs: A list of output types.
Tout - Variable in class org.tensorflow.op.core.StatelessPartitionedCall.Inputs: A list of output types.
Tout - Variable in class org.tensorflow.op.dtypes.Complex.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.linalg.Eig.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.math.Angle.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.math.ComplexAbs.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.math.Imag.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.math.Real.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.random.RandomUniformInt.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.risc.RiscImag.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.risc.RiscReal.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.tpu.PartitionedCall.Inputs: The types of the outputs of the function.
Tout - Variable in class org.tensorflow.op.train.BatchMatMul.Inputs: If not spcified, Tout is the same type to input type.
Tout - Variable in class org.tensorflow.op.train.SymbolicGradient.Inputs: the type list for the input list.
Tout - Variable in class org.tensorflow.op.xla.If.Inputs: The Tout attribute
Toutput - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: The Toutput attribute
Toutput - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: The Toutput attribute
Toutput - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: The Toutput attribute
Toutput - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The Toutput attribute
Toutput - Variable in class org.tensorflow.op.math.QuantizedAdd.Inputs: The Toutput attribute
Toutput - Variable in class org.tensorflow.op.math.QuantizedMul.Inputs: The Toutput attribute
Toutput - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The Toutput attribute
Toutput - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The Toutput attribute
Toutput - Variable in class org.tensorflow.op.xla.XlaRecvFromHost.Inputs: The Toutput attribute
Toutputs - Variable in class org.tensorflow.op.core.MlirPassthroughOp.Inputs: The Toutputs attribute
Toutputs - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: The element types of each element in `outputs`.
ToutputTypes - Variable in class org.tensorflow.op.data.OptionalFromValue.Inputs: The ToutputTypes attribute
ToutputTypes - Variable in class org.tensorflow.op.data.PaddedBatchDataset.Inputs: The ToutputTypes attribute
ToutputTypes - Variable in class org.tensorflow.op.data.TensorDataset.Inputs: The ToutputTypes attribute
ToutputTypes - Variable in class org.tensorflow.op.data.TensorSliceDataset.Inputs: The ToutputTypes attribute
Tpaddings - Variable in class org.tensorflow.op.core.MirrorPad.Inputs: The Tpaddings attribute
Tpaddings - Variable in class org.tensorflow.op.core.MirrorPadGrad.Inputs: The Tpaddings attribute
Tpaddings - Variable in class org.tensorflow.op.core.Pad.Inputs: The Tpaddings attribute
Tpaddings - Variable in class org.tensorflow.op.core.SpaceToBatchNd.Inputs: The Tpaddings attribute
Tpaddings - Variable in class org.tensorflow.op.nn.SpaceToBatch.Inputs: The Tpaddings attribute
Tpaddings - Variable in class org.tensorflow.op.risc.RiscPad.Inputs: The Tpaddings attribute
Tparams - Variable in class org.tensorflow.op.core.Gather.Inputs: The Tparams attribute
Tparams - Variable in class org.tensorflow.op.core.GatherNd.Inputs: The Tparams attribute
Tparams - Variable in class org.tensorflow.op.risc.RiscGather.Inputs: The Tparams attribute
Tperm - Variable in class org.tensorflow.op.linalg.ConjugateTranspose.Inputs: The Tperm attribute
Tperm - Variable in class org.tensorflow.op.linalg.Transpose.Inputs: The Tperm attribute
Tperm - Variable in class org.tensorflow.op.risc.RiscTranspose.Inputs: The Tperm attribute
tpu - Variable in class org.tensorflow.op.Ops
TPU_VALUE - Static variable in enum org.tensorflow.proto.profiler.ProfileOptions.DeviceType: TPU = 3;
tpuCancellationClosesChips - Variable in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Inputs: The tpuCancellationClosesChips attribute
tpuCancellationClosesChips(Long) - Method in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Options: Sets the tpuCancellationClosesChips option.
tpuCancellationClosesChips(Long) - Static method in class org.tensorflow.op.tpu.ConfigureDistributedTPU: Sets the tpuCancellationClosesChips option.
TPUCompilationResult - Class in org.tensorflow.op.tpu: Deprecated.
use CompilationResult instead
TPUCompilationResult(Operation) - Constructor for class org.tensorflow.op.tpu.TPUCompilationResult: Deprecated.
TPUCompilationResult.Inputs - Class in org.tensorflow.op.tpu: Deprecated.
tpuCore - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: Default core to use for host to device transfers.
tpuCore(Long) - Method in class org.tensorflow.op.xla.XlaHostCompute.Options: Sets the tpuCore option.
tpuCore(Long) - Static method in class org.tensorflow.op.xla.XlaHostCompute: Sets the tpuCore option.
TPUEmbeddingActivations - Class in org.tensorflow.op.tpu: Deprecated.
use EmbeddingActivations instead
TPUEmbeddingActivations(Operation) - Constructor for class org.tensorflow.op.tpu.TPUEmbeddingActivations: Deprecated.
TPUEmbeddingActivations.Inputs - Class in org.tensorflow.op.tpu: Deprecated.
tpuEmbeddingConfig - Variable in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Inputs: Serialized tensorflow.tpu.TPUEmbeddingConfiguration that describes the embedding lookups of the program.
tpuEmbeddingConfig(String) - Method in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Options: Sets the tpuEmbeddingConfig option.
tpuEmbeddingConfig(String) - Static method in class org.tensorflow.op.tpu.ConfigureDistributedTPU: Sets the tpuEmbeddingConfig option.
TpuOps - Class in org.tensorflow.op: An API for building tpu operations as Ops
TPUReplicatedInput<T extends TType> - Class in org.tensorflow.op.tpu: Deprecated.
use ReplicatedInput instead
TPUReplicatedInput(Operation) - Constructor for class org.tensorflow.op.tpu.TPUReplicatedInput: Deprecated.
TPUReplicatedInput.Inputs<T extends TType> - Class in org.tensorflow.op.tpu: Deprecated.
TPUReplicatedInput.Options - Class in org.tensorflow.op.tpu: Deprecated.

Optional attributes for TPUReplicatedInput
TPUReplicatedOutput<T extends TType> - Class in org.tensorflow.op.tpu: Deprecated.
use ReplicatedOutput instead
TPUReplicatedOutput(Operation) - Constructor for class org.tensorflow.op.tpu.TPUReplicatedOutput: Deprecated.
TPUReplicatedOutput.Inputs<T extends TType> - Class in org.tensorflow.op.tpu: Deprecated.
TPUReplicateMetadata - Class in org.tensorflow.op.tpu: Deprecated.
use ReplicateMetadata instead
TPUReplicateMetadata(Operation) - Constructor for class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.
TPUReplicateMetadata.Inputs - Class in org.tensorflow.op.tpu: Deprecated.
TPUReplicateMetadata.Options - Class in org.tensorflow.op.tpu: Deprecated.

Optional attributes for TPUReplicateMetadata
TPUReshardVariables - Class in org.tensorflow.op.tpu: Op that reshards on-device TPU variables to specified state.
TPUReshardVariables(Operation) - Constructor for class org.tensorflow.op.tpu.TPUReshardVariables
TPUReshardVariables.Inputs - Class in org.tensorflow.op.tpu
TRACE_LEVEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RunOptions
TRACES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphDebugInfo
TrackableObjectGraph - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.TrackableObjectGraph
TrackableObjectGraph.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.TrackableObjectGraph
TrackableObjectGraph.TrackableObject - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.TrackableObjectGraph.TrackableObject
TrackableObjectGraph.TrackableObject.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.TrackableObjectGraph.TrackableObject
TrackableObjectGraph.TrackableObject.ObjectReference - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.TrackableObjectGraph.TrackableObject.ObjectReference
TrackableObjectGraph.TrackableObject.ObjectReference.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.TrackableObjectGraph.TrackableObject.ObjectReference
TrackableObjectGraph.TrackableObject.ObjectReferenceOrBuilder - Interface in org.tensorflow.proto.framework
TrackableObjectGraph.TrackableObject.SerializedTensor - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.TrackableObjectGraph.TrackableObject.SerializedTensor
TrackableObjectGraph.TrackableObject.SerializedTensor.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.TrackableObjectGraph.TrackableObject.SerializedTensor
TrackableObjectGraph.TrackableObject.SerializedTensorOrBuilder - Interface in org.tensorflow.proto.framework
TrackableObjectGraph.TrackableObject.SlotVariableReference - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.TrackableObjectGraph.TrackableObject.SlotVariableReference
TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder - Class in org.tensorflow.proto.framework: Protobuf type tensorflow.TrackableObjectGraph.TrackableObject.SlotVariableReference
TrackableObjectGraph.TrackableObject.SlotVariableReferenceOrBuilder - Interface in org.tensorflow.proto.framework
TrackableObjectGraph.TrackableObjectOrBuilder - Interface in org.tensorflow.proto.framework
TrackableObjectGraphOrBuilder - Interface in org.tensorflow.proto.framework
TrackableObjectGraphProtos - Class in org.tensorflow.proto.framework
train - Variable in class org.tensorflow.op.Ops
TRAINABLE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedVariable
TRAINABLE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.VariableDef
TrainOps - Class in org.tensorflow.op: An API for building train operations as Ops
transformations - Variable in class org.tensorflow.op.data.AssertNextDataset.Inputs: A tf.string vector tf.Tensor identifying the transformations that are expected to happen next.
transformations - Variable in class org.tensorflow.op.data.experimental.AssertNextDataset.Inputs: The transformations input
transformedImages() - Method in class org.tensorflow.op.image.ImageProjectiveTransformV2: Gets transformedImages.
transformedImages() - Method in class org.tensorflow.op.image.ImageProjectiveTransformV3: Gets transformedImages.
transforms - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV2.Inputs: 2-D Tensor, [batch, 8] or [1, 8] matrix, where each row corresponds to a 3 x 3 projective transformation matrix, with the last entry assumed to be 1.
transforms - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV3.Inputs: 2-D Tensor, [batch, 8] or [1, 8] matrix, where each row corresponds to a 3 x 3 projective transformation matrix, with the last entry assumed to be 1.
translation - Variable in class org.tensorflow.op.image.ScaleAndTranslate.Inputs: The translation input
translation - Variable in class org.tensorflow.op.image.ScaleAndTranslateGrad.Inputs: The translation input
TransportOptions - Class in org.tensorflow.proto.distruntime
TransportOptions.RecvBufRespExtra - Class in org.tensorflow.proto.distruntime: Extra data needed on a non-RDMA RecvBufResponse.
TransportOptions.RecvBufRespExtra.Builder - Class in org.tensorflow.proto.distruntime: Extra data needed on a non-RDMA RecvBufResponse.
TransportOptions.RecvBufRespExtraOrBuilder - Interface in org.tensorflow.proto.distruntime
Transpose<T extends TType> - Class in org.tensorflow.op.linalg: Shuffle dimensions of x according to a permutation.
Transpose(Operation) - Constructor for class org.tensorflow.op.linalg.Transpose
transpose(Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.LinalgOps: Shuffle dimensions of x according to a permutation.
Transpose.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
transposeA - Variable in class org.tensorflow.op.linalg.MatMul.Inputs: If true, "a" is transposed before multiplication.
transposeA(Boolean) - Method in class org.tensorflow.op.linalg.MatMul.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.linalg.MatMul: Sets the transposeA option.
transposeA - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: If true, `a` is transposed before multiplication.
transposeA(Boolean) - Method in class org.tensorflow.op.linalg.QuantizedMatMul.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.linalg.QuantizedMatMul: Sets the transposeA option.
transposeA - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: If true, `a` is transposed before multiplication.
transposeA(Boolean) - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias: Sets the transposeA option.
transposeA - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: If true, `a` is transposed before multiplication.
transposeA(Boolean) - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu: Sets the transposeA option.
transposeA - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: If true, `a` is transposed before multiplication.
transposeA(Boolean) - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize: Sets the transposeA option.
transposeA - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs: Indicates whether `a` should be transposed.
transposeA(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul: Sets the transposeA option.
transposeA - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Inputs: Indicates whether `a` should be transposed.
transposeA(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul: Sets the transposeA option.
transposeA - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The transposeA attribute
transposeA(Boolean) - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize: Sets the transposeA option.
transposeA - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The transposeA attribute
transposeA(Boolean) - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize: Sets the transposeA option.
transposeA - Variable in class org.tensorflow.op.risc.RiscDot.Inputs: The transposeA attribute
transposeA(Boolean) - Method in class org.tensorflow.op.risc.RiscDot.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.risc.RiscDot: Sets the transposeA option.
transposeA - Variable in class org.tensorflow.op.sparse.SparseMatMul.Inputs: The transposeA attribute
transposeA(Boolean) - Method in class org.tensorflow.op.sparse.SparseMatMul.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.sparse.SparseMatMul: Sets the transposeA option.
transposeB - Variable in class org.tensorflow.op.linalg.MatMul.Inputs: If true, "b" is transposed before multiplication.
transposeB(Boolean) - Method in class org.tensorflow.op.linalg.MatMul.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.linalg.MatMul: Sets the transposeB option.
transposeB - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: If true, `b` is transposed before multiplication.
transposeB(Boolean) - Method in class org.tensorflow.op.linalg.QuantizedMatMul.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.linalg.QuantizedMatMul: Sets the transposeB option.
transposeB - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: If true, `b` is transposed before multiplication.
transposeB(Boolean) - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias: Sets the transposeB option.
transposeB - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: If true, `b` is transposed before multiplication.
transposeB(Boolean) - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu: Sets the transposeB option.
transposeB - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: If true, `b` is transposed before multiplication.
transposeB(Boolean) - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize: Sets the transposeB option.
transposeB - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs: Indicates whether `b` should be transposed.
transposeB(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul: Sets the transposeB option.
transposeB - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Inputs: Indicates whether `b` should be transposed.
transposeB(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul: Sets the transposeB option.
transposeB - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The transposeB attribute
transposeB(Boolean) - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize: Sets the transposeB option.
transposeB - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The transposeB attribute
transposeB(Boolean) - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize: Sets the transposeB option.
transposeB - Variable in class org.tensorflow.op.risc.RiscDot.Inputs: The transposeB attribute
transposeB(Boolean) - Method in class org.tensorflow.op.risc.RiscDot.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.risc.RiscDot: Sets the transposeB option.
transposeB - Variable in class org.tensorflow.op.sparse.SparseMatMul.Inputs: The transposeB attribute
transposeB(Boolean) - Method in class org.tensorflow.op.sparse.SparseMatMul.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.sparse.SparseMatMul: Sets the transposeB option.
transposeOutput - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs: Transposes the product of `a` and `b`.
transposeOutput(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Options: Sets the transposeOutput option.
transposeOutput(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul: Sets the transposeOutput option.
transposeOutput - Variable in class org.tensorflow.op.xla.Dequantize.Inputs: Boolean to determine if output is transposed.
TreaderFuncArgs - Variable in class org.tensorflow.op.data.LoadDataset.Inputs: The TreaderFuncArgs attribute
TreaderFuncArgs - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The TreaderFuncArgs attribute
Treal - Variable in class org.tensorflow.op.signal.Irfft.Inputs: The Treal attribute
Treal - Variable in class org.tensorflow.op.signal.Irfft2d.Inputs: The Treal attribute
Treal - Variable in class org.tensorflow.op.signal.Irfft3d.Inputs: The Treal attribute
Treal - Variable in class org.tensorflow.op.signal.Rfft.Inputs: The Treal attribute
Treal - Variable in class org.tensorflow.op.signal.Rfft2d.Inputs: The Treal attribute
Treal - Variable in class org.tensorflow.op.signal.Rfft3d.Inputs: The Treal attribute
Treal - Variable in class org.tensorflow.op.sparse.SparseAdd.Inputs: The Treal attribute
TreduceFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: The TreduceFuncOtherArguments attribute
TreduceFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs: The TreduceFuncOtherArguments attribute
TreduceFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: The TreduceFuncOtherArguments attribute
TreduceFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The TreduceFuncOtherArguments attribute
treeComplexity - Variable in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplit.Inputs: adjustment to the gain, per leaf based.
treeComplexity - Variable in class org.tensorflow.op.estimator.BoostedTreesCalculateBestFeatureSplitV2.Inputs: adjustment to the gain, per leaf based.
treeComplexity - Variable in class org.tensorflow.op.estimator.BoostedTreesCalculateBestGainsPerFeature.Inputs: adjustment to the gain, per leaf based.
treeComplexity - Variable in class org.tensorflow.op.estimator.BoostedTreesSparseCalculateBestFeatureSplit.Inputs: adjustment to the gain, per leaf based.
treeEnsembleHandle - Variable in class org.tensorflow.op.estimator.BoostedTreesCenterBias.Inputs: Handle to the tree ensemble.
treeEnsembleHandle - Variable in class org.tensorflow.op.estimator.BoostedTreesCreateEnsemble.Inputs: Handle to the tree ensemble resource to be created.
treeEnsembleHandle - Variable in class org.tensorflow.op.estimator.BoostedTreesDeserializeEnsemble.Inputs: Handle to the tree ensemble.
treeEnsembleHandle - Variable in class org.tensorflow.op.estimator.BoostedTreesExampleDebugOutputs.Inputs: The treeEnsembleHandle input
treeEnsembleHandle - Variable in class org.tensorflow.op.estimator.BoostedTreesGetEnsembleStates.Inputs: Handle to the tree ensemble.
treeEnsembleHandle - Variable in class org.tensorflow.op.estimator.BoostedTreesPredict.Inputs: The treeEnsembleHandle input
treeEnsembleHandle - Variable in class org.tensorflow.op.estimator.BoostedTreesSerializeEnsemble.Inputs: Handle to the tree ensemble.
treeEnsembleHandle - Variable in class org.tensorflow.op.estimator.BoostedTreesTrainingPredict.Inputs: The treeEnsembleHandle input
treeEnsembleHandle - Variable in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsemble.Inputs: Handle to the ensemble variable.
treeEnsembleHandle - Variable in class org.tensorflow.op.estimator.BoostedTreesUpdateEnsembleV2.Inputs: Handle to the ensemble variable.
treeEnsembleHandle - Variable in class org.tensorflow.op.estimator.IsBoostedTreesEnsembleInitialized.Inputs: Handle to the tree ensemble resource.
treeEnsembleSerialized - Variable in class org.tensorflow.op.estimator.BoostedTreesCreateEnsemble.Inputs: Serialized proto of the tree ensemble.
treeEnsembleSerialized - Variable in class org.tensorflow.op.estimator.BoostedTreesDeserializeEnsemble.Inputs: Serialized proto of the ensemble.
treeEnsembleSerialized() - Method in class org.tensorflow.op.estimator.BoostedTreesSerializeEnsemble: Gets treeEnsembleSerialized.
treeIds() - Method in class org.tensorflow.op.estimator.BoostedTreesTrainingPredict: Gets treeIds.
Tresults - Variable in class org.tensorflow.op.tpu.Execute.Inputs: The Tresults attribute
Tresults - Variable in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables.Inputs: The Tresults attribute
Tresults - Variable in class org.tensorflow.op.xla.XlaLaunch.Inputs: The Tresults attribute
TriangularSolve<T extends TType> - Class in org.tensorflow.op.linalg: Solves systems of linear equations with upper or lower triangular matrices by backsubstitution.
TriangularSolve(Operation) - Constructor for class org.tensorflow.op.linalg.TriangularSolve
triangularSolve(Operand<T>, Operand<T>, TriangularSolve.Options...) - Method in class org.tensorflow.op.LinalgOps: Solves systems of linear equations with upper or lower triangular matrices by backsubstitution.
TriangularSolve.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
TriangularSolve.Options - Class in org.tensorflow.op.linalg: Optional attributes for TriangularSolve
TridiagonalMatMul<T extends TType> - Class in org.tensorflow.op.linalg: Calculate product with tridiagonal matrix.
TridiagonalMatMul(Operation) - Constructor for class org.tensorflow.op.linalg.TridiagonalMatMul
TridiagonalMatMul.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
TridiagonalSolve<T extends TType> - Class in org.tensorflow.op.linalg: Solves tridiagonal systems of equations.
TridiagonalSolve(Operation) - Constructor for class org.tensorflow.op.linalg.TridiagonalSolve
TridiagonalSolve.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
TridiagonalSolve.Options - Class in org.tensorflow.op.linalg: Optional attributes for TridiagonalSolve
trueClasses - Variable in class org.tensorflow.op.nn.ComputeAccidentalHits.Inputs: The true_classes output of UnpackSparseLabels.
trueClasses - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: A batch_size * num_true matrix, in which each row contains the IDs of the num_true target_classes in the corresponding original label.
trueClasses - Variable in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Inputs: A batch_size * num_true matrix, in which each row contains the IDs of the num_true target_classes in the corresponding original label.
trueClasses - Variable in class org.tensorflow.op.random.AllCandidateSampler.Inputs: A batch_size * num_true matrix, in which each row contains the IDs of the num_true target_classes in the corresponding original label.
trueClasses - Variable in class org.tensorflow.op.random.LogUniformCandidateSampler.Inputs: A batch_size * num_true matrix, in which each row contains the IDs of the num_true target_classes in the corresponding original label.
trueClasses - Variable in class org.tensorflow.op.random.UniformCandidateSampler.Inputs: A batch_size * num_true matrix, in which each row contains the IDs of the num_true target_classes in the corresponding original label.
trueExpectedCount() - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Gets trueExpectedCount.
trueExpectedCount() - Method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler: Gets trueExpectedCount.
trueExpectedCount() - Method in class org.tensorflow.op.random.AllCandidateSampler: Gets trueExpectedCount.
trueExpectedCount() - Method in class org.tensorflow.op.random.LogUniformCandidateSampler: Gets trueExpectedCount.
trueExpectedCount() - Method in class org.tensorflow.op.random.UniformCandidateSampler: Gets trueExpectedCount.
Truncate - Variable in class org.tensorflow.op.dtypes.Cast.Inputs: The Truncate attribute
Truncate(Boolean) - Method in class org.tensorflow.op.dtypes.Cast.Options: Sets the Truncate option.
Truncate(Boolean) - Static method in class org.tensorflow.op.dtypes.Cast: Sets the Truncate option.
TruncateDiv<T extends TType> - Class in org.tensorflow.op.math: Returns x / y element-wise for integer types.
TruncateDiv(Operation) - Constructor for class org.tensorflow.op.math.TruncateDiv
truncateDiv(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns x / y element-wise for integer types.
TruncateDiv.Inputs<T extends TType> - Class in org.tensorflow.op.math
TruncatedNormal - Class in org.tensorflow.op.random: Outputs random values from a truncated normal distribution.
TruncatedNormal(Operation) - Constructor for class org.tensorflow.op.random.TruncatedNormal
truncatedNormal(Operand<? extends TNumber>, Class, TruncatedNormal.Options...) - Method in class org.tensorflow.op.RandomOps: Outputs random values from a truncated normal distribution.
TruncatedNormal.Inputs - Class in org.tensorflow.op.random
TruncatedNormal.Options - Class in org.tensorflow.op.random: Optional attributes for TruncatedNormal
TruncateMod<T extends TNumber> - Class in org.tensorflow.op.math: Returns element-wise remainder of division.
TruncateMod(Operation) - Constructor for class org.tensorflow.op.math.TruncateMod
truncateMod(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns element-wise remainder of division.
TruncateMod.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
truthIndices - Variable in class org.tensorflow.op.core.EditDistance.Inputs: The indices of the truth list SparseTensor.
truthShape - Variable in class org.tensorflow.op.core.EditDistance.Inputs: truth indices, vector.
truthValues - Variable in class org.tensorflow.op.core.EditDistance.Inputs: The values of the truth list SparseTensor.
tryRecoverTruncated - Variable in class org.tensorflow.op.image.DecodeAndCropJpeg.Inputs: If true try to recover an image from truncated input.
tryRecoverTruncated(Boolean) - Method in class org.tensorflow.op.image.DecodeAndCropJpeg.Options: Sets the tryRecoverTruncated option.
tryRecoverTruncated(Boolean) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg: Sets the tryRecoverTruncated option.
tryRecoverTruncated - Variable in class org.tensorflow.op.image.DecodeJpeg.Inputs: If true try to recover an image from truncated input.
tryRecoverTruncated(Boolean) - Method in class org.tensorflow.op.image.DecodeJpeg.Options: Sets the tryRecoverTruncated option.
tryRecoverTruncated(Boolean) - Static method in class org.tensorflow.op.image.DecodeJpeg: Sets the tryRecoverTruncated option.
ts() - Method in class org.tensorflow.op.core.Timestamp: Gets ts.
Tseed - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessMultinomial.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessRandomBinomial.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessRandomGamma.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessRandomGetKeyCounter.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessRandomGetKeyCounterAlg.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessRandomNormal.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessRandomPoisson.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessRandomUniform.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullInt.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessRandomUniformInt.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessTruncatedNormal.Inputs: The Tseed attribute
Tsegmentids - Variable in class org.tensorflow.op.sparse.SparseSegmentMean.Inputs: The Tsegmentids attribute
Tsegmentids - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanGrad.Inputs: The Tsegmentids attribute
Tsegmentids - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs: The Tsegmentids attribute
Tsegmentids - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtN.Inputs: The Tsegmentids attribute
Tsegmentids - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad.Inputs: The Tsegmentids attribute
Tsegmentids - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs: The Tsegmentids attribute
Tsegmentids - Variable in class org.tensorflow.op.sparse.SparseSegmentSum.Inputs: The Tsegmentids attribute
Tsegmentids - Variable in class org.tensorflow.op.sparse.SparseSegmentSumGrad.Inputs: The Tsegmentids attribute
Tsegmentids - Variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs: The Tsegmentids attribute
Tserialized - Variable in class org.tensorflow.op.sparse.DeserializeSparse.Inputs: The Tserialized attribute
Tshape - Variable in class org.tensorflow.op.collective.CollectiveBcastRecv.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.core.QuantizedReshape.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.core.Reshape.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.ragged.RaggedTensorToTensor.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.random.StatelessRandomNormalV2.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.random.StatelessRandomUniformIntV2.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.random.StatelessRandomUniformV2.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.random.StatelessTruncatedNormalV2.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.risc.RiscReshape.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.xla.RngBitGenerator.Inputs: The Tshape attribute
TshardFuncArgs - Variable in class org.tensorflow.op.data.SaveDataset.Inputs: The TshardFuncArgs attribute
TshardFuncArgs - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The TshardFuncArgs attribute
Tshift - Variable in class org.tensorflow.op.core.Roll.Inputs: The Tshift attribute
Tsplits - Variable in class org.tensorflow.op.ragged.RaggedGather.Inputs: The Tsplits attribute
Tsplits - Variable in class org.tensorflow.op.ragged.RaggedRange.Inputs: The Tsplits attribute
Tsplits - Variable in class org.tensorflow.op.ragged.RaggedTensorFromVariant.Inputs: The Tsplits attribute
Tsplits - Variable in class org.tensorflow.op.ragged.RaggedTensorToSparse.Inputs: The Tsplits attribute
Tsplits - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariant.Inputs: The Tsplits attribute
Tsplits - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariantGradient.Inputs: The Tsplits attribute
Tsplits - Variable in class org.tensorflow.op.strings.StringNGrams.Inputs: The Tsplits attribute
Tsplits - Variable in class org.tensorflow.op.strings.UnicodeDecode.Inputs: The Tsplits attribute
Tsplits - Variable in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Inputs: The Tsplits attribute
Tsplits - Variable in class org.tensorflow.op.strings.UnicodeEncode.Inputs: The Tsplits attribute
Tstate - Variable in class org.tensorflow.op.data.experimental.ScanDataset.Inputs: The Tstate attribute
Tstate - Variable in class org.tensorflow.op.data.ReduceDataset.Inputs: The Tstate attribute
Tstate - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The Tstate attribute
TString - Interface in org.tensorflow.types: String type.
TStringInitializer<T> - Class in org.tensorflow.internal.types: Helper class for initializing a TString tensor.
TStringInitializer(NdArray<T>, Function<T, byte[]>) - Constructor for class org.tensorflow.internal.types.TStringInitializer
TStringMapper - Class in org.tensorflow.internal.types: Maps memory of DataType.DT_STRING tensors to a n-dimensional data space.
TStringMapper() - Constructor for class org.tensorflow.internal.types.TStringMapper
Tsummand - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The Tsummand attribute
Tsummand - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The Tsummand attribute
TType - Interface in org.tensorflow.types.family: Common interface for all typed tensors.
TUint8 - Interface in org.tensorflow.types: 8-bit unsigned integer tensor type.
TUint8Mapper - Class in org.tensorflow.internal.types: Maps memory of DataType.DT_UINT8 tensors to a n-dimensional data space.
TUint8Mapper() - Constructor for class org.tensorflow.internal.types.TUint8Mapper
TUNABLE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
TUPLE_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.StructuredValue
TupleValue - Class in org.tensorflow.proto.framework: Represents a Python tuple.
TupleValue.Builder - Class in org.tensorflow.proto.framework: Represents a Python tuple.
TupleValueOrBuilder - Interface in org.tensorflow.proto.framework
Tval - Variable in class org.tensorflow.op.core.InitializeTable.Inputs: The Tval attribute
Tvalues - Variable in class org.tensorflow.op.core.LookupTableExport.Inputs: The Tvalues attribute
Tvalues - Variable in class org.tensorflow.op.data.SparseTensorSliceDataset.Inputs: The Tvalues attribute
Tvalues - Variable in class org.tensorflow.op.ragged.RaggedGather.Inputs: The Tvalues attribute
Tvalues - Variable in class org.tensorflow.op.ragged.RaggedTensorFromVariant.Inputs: The Tvalues attribute
Tvalues - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariant.Inputs: The Tvalues attribute
Tvalues - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariantGradient.Inputs: The Tvalues attribute
TwindowSizeFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs: The TwindowSizeFuncOtherArguments attribute
TwindowSizeFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The TwindowSizeFuncOtherArguments attribute
TWO_VALUE - Static variable in enum org.tensorflow.proto.framework.RewriterConfig.NumIterationsType: TWO = 2;
type() - Method in class org.tensorflow.GraphOperation
type() - Method in class org.tensorflow.internal.c_api.TF_AttrMetadata
type(int) - Method in class org.tensorflow.internal.c_api.TF_AttrMetadata
type() - Method in class org.tensorflow.internal.types.registry.TensorTypeInfo: Returns the class of this tensor type
type - Variable in class org.tensorflow.op.AttributeMetadata: The type of this attribute, or the type of the list values if it is a list.
type - Variable in class org.tensorflow.op.core.Bitcast.Inputs: The type attribute
type - Variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents.Inputs: The type attribute
type - Variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToDense.Inputs: The type attribute
type - Variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToSparseTensor.Inputs: The type attribute
type - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmax.Inputs: The type attribute
type - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmaxGrad.Inputs: The type attribute
type - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseCholesky.Inputs: The type attribute
type - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Inputs: The type attribute
type - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose.Inputs: The type attribute
type - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixZeros.Inputs: The type attribute
type() - Method in interface org.tensorflow.Operand: Returns the tensor type of this operand
type() - Method in interface org.tensorflow.Operation: Returns the type of the operation, i.e., the name of the computation performed by the operation.
type() - Method in class org.tensorflow.Output: Returns the type of the tensor referred to by this Output.
type() - Method in interface org.tensorflow.types.family.TType: Returns the type of this tensor as a registered subclass of TType
TYPE_ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef.ArgDef
TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AttrValue.ListValue
TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.AttrValue
TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DeviceProperties
TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.InterconnectLink
TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef.ArgDef
TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef.AttrDef
TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.SavedSliceMeta
TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
TYPE_HINT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SummaryDescription
TYPE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.FullTypeDef
TYPE_LIST_ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDef.ArgDef
TYPE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphTransferNodeInfo
TYPE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.VariantTensorDataProto
TYPE_SPEC_CLASS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TypeSpecProto
TYPE_SPEC_CLASS_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TypeSpecProto
TYPE_SPEC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
TYPE_SPEC_PROTO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
TYPE_SPEC_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.StructuredValue
TYPE_STATE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TypeSpecProto
type_string() - Method in class org.tensorflow.internal.c_api.Node
TypeSpecProto - Class in org.tensorflow.proto.framework: Represents a tf.TypeSpec
TypeSpecProto.Builder - Class in org.tensorflow.proto.framework: Represents a tf.TypeSpec
TypeSpecProto.TypeSpecClass - Enum in org.tensorflow.proto.framework: Protobuf enum tensorflow.TypeSpecProto.TypeSpecClass
TypeSpecProtoOrBuilder - Interface in org.tensorflow.proto.framework
TypesProtos - Class in org.tensorflow.proto.framework

U

u() - Method in class org.tensorflow.op.linalg.BatchSvd: Gets u.
u() - Method in class org.tensorflow.op.linalg.Svd: Gets u.
U - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: The data type for the scale, offset, mean, and variance.
U - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: The data type for the scale, offset, mean, and variance.
u() - Method in class org.tensorflow.op.nn.GRUBlockCell: Gets u.
u - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The u input
u() - Method in class org.tensorflow.op.xla.Svd: Gets u.
u_large() - Method in class org.tensorflow.internal.c_api.TF_TString
u_large(TF_TString_Large) - Method in class org.tensorflow.internal.c_api.TF_TString
u_offset() - Method in class org.tensorflow.internal.c_api.TF_TString
u_offset(TF_TString_Offset) - Method in class org.tensorflow.internal.c_api.TF_TString
u_raw() - Method in class org.tensorflow.internal.c_api.TF_TString
u_raw(TF_TString_Raw) - Method in class org.tensorflow.internal.c_api.TF_TString
u_smll() - Method in class org.tensorflow.internal.c_api.TF_TString
u_smll(TF_TString_Small) - Method in class org.tensorflow.internal.c_api.TF_TString
u_view() - Method in class org.tensorflow.internal.c_api.TF_TString
u_view(TF_TString_View) - Method in class org.tensorflow.internal.c_api.TF_TString
UINT32_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorProto
UINT64_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorProto
UINT64_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XStat
UNAUTHENTICATED_VALUE - Static variable in enum org.tensorflow.proto.framework.Code: The request does not have valid authentication credentials for the operation.
UNAVAILABLE_VALUE - Static variable in enum org.tensorflow.proto.framework.Code: The service is currently unavailable.
Unbatch<T extends TType> - Class in org.tensorflow.op.core: Reverses the operation of Batch for a single output Tensor.
Unbatch(Operation) - Constructor for class org.tensorflow.op.core.Unbatch
unbatch(Operand<T>, Operand<TInt64>, Operand<TInt64>, Long, Unbatch.Options...) - Method in class org.tensorflow.op.Ops: Reverses the operation of Batch for a single output Tensor.
Unbatch.Inputs<T extends TType> - Class in org.tensorflow.op.core
Unbatch.Options - Class in org.tensorflow.op.core: Optional attributes for Unbatch
UnbatchDataset - Class in org.tensorflow.op.data.experimental: A dataset that splits the elements of its input into multiple elements.
UnbatchDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.UnbatchDataset
UnbatchDataset - Class in org.tensorflow.op.data: A dataset that splits the elements of its input into multiple elements.
UnbatchDataset(Operation) - Constructor for class org.tensorflow.op.data.UnbatchDataset
unbatchDataset(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, UnbatchDataset.Options...) - Method in class org.tensorflow.op.DataOps: A dataset that splits the elements of its input into multiple elements.
UnbatchDataset.Inputs - Class in org.tensorflow.op.data.experimental
UnbatchDataset.Inputs - Class in org.tensorflow.op.data
UnbatchDataset.Options - Class in org.tensorflow.op.data: Optional attributes for UnbatchDataset
unbatchedTensor() - Method in class org.tensorflow.op.core.Unbatch: Gets unbatchedTensor.
UnbatchGrad<T extends TType> - Class in org.tensorflow.op.core: Gradient of Unbatch.
UnbatchGrad(Operation) - Constructor for class org.tensorflow.op.core.UnbatchGrad
unbatchGrad(Operand<T>, Operand<TInt64>, Operand<T>, Operand<TInt64>, UnbatchGrad.Options...) - Method in class org.tensorflow.op.Ops: Gradient of Unbatch.
UnbatchGrad.Inputs<T extends TType> - Class in org.tensorflow.op.core
UnbatchGrad.Options - Class in org.tensorflow.op.core: Optional attributes for UnbatchGrad
UncompressElement - Class in org.tensorflow.op.data: Uncompresses a compressed dataset element.
UncompressElement(Operation) - Constructor for class org.tensorflow.op.data.UncompressElement
UncompressElement.Inputs - Class in org.tensorflow.op.data
UnicodeDecode<T extends TNumber> - Class in org.tensorflow.op.strings: Decodes each string in input into a sequence of Unicode code points.
UnicodeDecode(Operation) - Constructor for class org.tensorflow.op.strings.UnicodeDecode
UnicodeDecode.Inputs - Class in org.tensorflow.op.strings
UnicodeDecode.Options - Class in org.tensorflow.op.strings: Optional attributes for UnicodeDecode
UnicodeDecodeWithOffsets<T extends TNumber> - Class in org.tensorflow.op.strings: Decodes each string in input into a sequence of Unicode code points.
UnicodeDecodeWithOffsets(Operation) - Constructor for class org.tensorflow.op.strings.UnicodeDecodeWithOffsets
UnicodeDecodeWithOffsets.Inputs - Class in org.tensorflow.op.strings
UnicodeDecodeWithOffsets.Options - Class in org.tensorflow.op.strings: Optional attributes for UnicodeDecodeWithOffsets
UnicodeEncode - Class in org.tensorflow.op.strings: Encode a tensor of ints into unicode strings.
UnicodeEncode(Operation) - Constructor for class org.tensorflow.op.strings.UnicodeEncode
UnicodeEncode.Inputs - Class in org.tensorflow.op.strings
UnicodeEncode.Options - Class in org.tensorflow.op.strings: Optional attributes for UnicodeEncode
UnicodeScript - Class in org.tensorflow.op.strings: Determine the script codes of a given tensor of Unicode integer code points.
UnicodeScript(Operation) - Constructor for class org.tensorflow.op.strings.UnicodeScript
unicodeScript(Operand<TInt32>) - Method in class org.tensorflow.op.StringsOps: Determine the script codes of a given tensor of Unicode integer code points.
UnicodeScript.Inputs - Class in org.tensorflow.op.strings
UnicodeTranscode - Class in org.tensorflow.op.strings: Transcode the input text from a source encoding to a destination encoding.
UnicodeTranscode(Operation) - Constructor for class org.tensorflow.op.strings.UnicodeTranscode
unicodeTranscode(Operand<TString>, String, String, UnicodeTranscode.Options...) - Method in class org.tensorflow.op.StringsOps: Transcode the input text from a source encoding to a destination encoding.
UnicodeTranscode.Inputs - Class in org.tensorflow.op.strings
UnicodeTranscode.Options - Class in org.tensorflow.op.strings: Optional attributes for UnicodeTranscode
UniformCandidateSampler - Class in org.tensorflow.op.random: Generates labels for candidate sampling with a uniform distribution.
UniformCandidateSampler(Operation) - Constructor for class org.tensorflow.op.random.UniformCandidateSampler
uniformCandidateSampler(Operand<TInt64>, Long, Long, Boolean, Long, UniformCandidateSampler.Options...) - Method in class org.tensorflow.op.RandomOps: Generates labels for candidate sampling with a uniform distribution.
UniformCandidateSampler.Inputs - Class in org.tensorflow.op.random
UniformCandidateSampler.Options - Class in org.tensorflow.op.random: Optional attributes for UniformCandidateSampler
uniformNoise - Variable in class org.tensorflow.op.image.ExtractGlimpse.Inputs: indicates if the noise should be generated using a uniform distribution or a Gaussian distribution.
uniformNoise(Boolean) - Method in class org.tensorflow.op.image.ExtractGlimpse.Options: Sets the uniformNoise option.
uniformNoise(Boolean) - Static method in class org.tensorflow.op.image.ExtractGlimpse: Sets the uniformNoise option.
unigrams - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: A list of unigram counts or probabilities, one per ID in sequential order.
unigrams(List<Float>) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options: Sets the unigrams option.
unigrams(Float...) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options: Sets the unigrams option.
unigrams(List<Float>) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Sets the unigrams option.
unigrams(Float...) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Sets the unigrams option.
UNIMPLEMENTED_VALUE - Static variable in enum org.tensorflow.proto.framework.Code: Operation is not implemented or not supported/enabled in this service.
Unique<T extends TType,V extends TNumber> - Class in org.tensorflow.op.core: Finds unique elements along an axis of a tensor.
Unique(Operation) - Constructor for class org.tensorflow.op.core.Unique
unique - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: If unique is true, we sample with rejection, so that all sampled candidates in a batch are unique.
unique - Variable in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Inputs: If unique is true, we sample with rejection, so that all sampled candidates in a batch are unique.
unique(Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.Ops: Finds unique elements along an axis of a tensor.
unique(Operand<T>, Operand<? extends TNumber>, Class<V>) - Method in class org.tensorflow.op.Ops: Finds unique elements along an axis of a tensor.
unique - Variable in class org.tensorflow.op.random.AllCandidateSampler.Inputs: If unique is true, we sample with rejection, so that all sampled candidates in a batch are unique.
unique - Variable in class org.tensorflow.op.random.LogUniformCandidateSampler.Inputs: If unique is true, we sample with rejection, so that all sampled candidates in a batch are unique.
unique - Variable in class org.tensorflow.op.random.UniformCandidateSampler.Inputs: If unique is true, we sample with rejection, so that all sampled candidates in a batch are unique.
Unique.Inputs<T extends TType> - Class in org.tensorflow.op.core
UniqueDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that contains the unique elements of input_dataset.
UniqueDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.UniqueDataset
UniqueDataset - Class in org.tensorflow.op.data: Creates a dataset that contains the unique elements of input_dataset.
UniqueDataset(Operation) - Constructor for class org.tensorflow.op.data.UniqueDataset
uniqueDataset(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, UniqueDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that contains the unique elements of input_dataset.
UniqueDataset.Inputs - Class in org.tensorflow.op.data.experimental
UniqueDataset.Inputs - Class in org.tensorflow.op.data
UniqueDataset.Options - Class in org.tensorflow.op.data: Optional attributes for UniqueDataset
UniqueWithCounts<T extends TType,V extends TNumber> - Class in org.tensorflow.op.core: Finds unique elements along an axis of a tensor.
UniqueWithCounts(Operation) - Constructor for class org.tensorflow.op.core.UniqueWithCounts
uniqueWithCounts(Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.Ops: Finds unique elements along an axis of a tensor.
uniqueWithCounts(Operand<T>, Operand<? extends TNumber>, Class<V>) - Method in class org.tensorflow.op.Ops: Finds unique elements along an axis of a tensor.
UniqueWithCounts.Inputs<T extends TType> - Class in org.tensorflow.op.core
unit - Variable in class org.tensorflow.op.strings.StringLength.Inputs: The unit that is counted to compute string length.
unit(String) - Method in class org.tensorflow.op.strings.StringLength.Options: Sets the unit option.
unit(String) - Static method in class org.tensorflow.op.strings.StringLength: Sets the unit option.
unit - Variable in class org.tensorflow.op.strings.Substr.Inputs: The unit that is used to create the substring.
unit(String) - Method in class org.tensorflow.op.strings.Substr.Options: Sets the unit option.
unit(String) - Static method in class org.tensorflow.op.strings.Substr: Sets the unit option.
unitsCompleted() - Method in class org.tensorflow.op.io.ReaderNumWorkUnitsCompleted: Gets unitsCompleted.
UNKNOWN_RANK_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorShapeProto
UNKNOWN_RATIO_VALUE - Static variable in enum org.tensorflow.proto.data.model.NodeClass: UNKNOWN_RATIO = 5;
UNKNOWN_VALUE - Static variable in enum org.tensorflow.proto.data.model.NodeClass: UNKNOWN = 0;
UNKNOWN_VALUE - Static variable in enum org.tensorflow.proto.framework.Code: Unknown error.
UNKNOWN_VALUE - Static variable in enum org.tensorflow.proto.framework.TypeSpecProto.TypeSpecClass: UNKNOWN = 0;
UNKNOWN_VALUE - Static variable in enum org.tensorflow.proto.util.LogMessage.Level: Deprecated.

UNKNOWN = 0;
UNKNOWN_VALUE - Static variable in enum org.tensorflow.proto.util.testlog.TestResults.BenchmarkType: Fallback for protos written before Type was introduced.
UnravelIndex<T extends TNumber> - Class in org.tensorflow.op.core: Converts an array of flat indices into a tuple of coordinate arrays.
UnravelIndex(Operation) - Constructor for class org.tensorflow.op.core.UnravelIndex
unravelIndex(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops: Converts an array of flat indices into a tuple of coordinate arrays.
UnravelIndex.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
UnsortedSegmentJoin - Class in org.tensorflow.op.strings: Joins the elements of inputs based on segment_ids.
UnsortedSegmentJoin(Operation) - Constructor for class org.tensorflow.op.strings.UnsortedSegmentJoin
unsortedSegmentJoin(Operand<TString>, Operand<? extends TNumber>, Operand<? extends TNumber>, UnsortedSegmentJoin.Options...) - Method in class org.tensorflow.op.StringsOps: Joins the elements of inputs based on segment_ids.
UnsortedSegmentJoin.Inputs - Class in org.tensorflow.op.strings
UnsortedSegmentJoin.Options - Class in org.tensorflow.op.strings: Optional attributes for UnsortedSegmentJoin
UnsortedSegmentMax<T extends TNumber> - Class in org.tensorflow.op.math: Computes the maximum along segments of a tensor.
UnsortedSegmentMax(Operation) - Constructor for class org.tensorflow.op.math.UnsortedSegmentMax
unsortedSegmentMax(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Computes the maximum along segments of a tensor.
UnsortedSegmentMax.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
UnsortedSegmentMin<T extends TNumber> - Class in org.tensorflow.op.math: Computes the minimum along segments of a tensor.
UnsortedSegmentMin(Operation) - Constructor for class org.tensorflow.op.math.UnsortedSegmentMin
unsortedSegmentMin(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Computes the minimum along segments of a tensor.
UnsortedSegmentMin.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
UnsortedSegmentProd<T extends TType> - Class in org.tensorflow.op.math: Computes the product along segments of a tensor.
UnsortedSegmentProd(Operation) - Constructor for class org.tensorflow.op.math.UnsortedSegmentProd
unsortedSegmentProd(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Computes the product along segments of a tensor.
UnsortedSegmentProd.Inputs<T extends TType> - Class in org.tensorflow.op.math
UnsortedSegmentSum<T extends TType> - Class in org.tensorflow.op.math: Computes the sum along segments of a tensor.
UnsortedSegmentSum(Operation) - Constructor for class org.tensorflow.op.math.UnsortedSegmentSum
unsortedSegmentSum(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Computes the sum along segments of a tensor.
UnsortedSegmentSum.Inputs<T extends TType> - Class in org.tensorflow.op.math
UNSPECIFIED_VALUE - Static variable in enum org.tensorflow.proto.profiler.ProfileOptions.DeviceType: UNSPECIFIED = 0;
UNSPECIFIED_VALUE - Static variable in enum org.tensorflow.proto.util.TensorDebugMode: UNSPECIFIED = 0;
unspecifiedDims - Variable in class org.tensorflow.op.xla.Sharding.Inputs: The unspecifiedDims attribute
unspecifiedDims(List<Long>) - Method in class org.tensorflow.op.xla.Sharding.Options: Sets the unspecifiedDims option.
unspecifiedDims(Long...) - Method in class org.tensorflow.op.xla.Sharding.Options: Sets the unspecifiedDims option.
unspecifiedDims(List<Long>) - Static method in class org.tensorflow.op.xla.Sharding: Sets the unspecifiedDims option.
unspecifiedDims(Long...) - Static method in class org.tensorflow.op.xla.Sharding: Sets the unspecifiedDims option.
unspecifiedDims - Variable in class org.tensorflow.op.xla.SpmdFullToShardShape.Inputs: The unspecifiedDims attribute
unspecifiedDims(List<Long>) - Method in class org.tensorflow.op.xla.SpmdFullToShardShape.Options: Sets the unspecifiedDims option.
unspecifiedDims(Long...) - Method in class org.tensorflow.op.xla.SpmdFullToShardShape.Options: Sets the unspecifiedDims option.
unspecifiedDims(List<Long>) - Static method in class org.tensorflow.op.xla.SpmdFullToShardShape: Sets the unspecifiedDims option.
unspecifiedDims(Long...) - Static method in class org.tensorflow.op.xla.SpmdFullToShardShape: Sets the unspecifiedDims option.
unspecifiedDims - Variable in class org.tensorflow.op.xla.SpmdShardToFullShape.Inputs: The unspecifiedDims attribute
unspecifiedDims(List<Long>) - Method in class org.tensorflow.op.xla.SpmdShardToFullShape.Options: Sets the unspecifiedDims option.
unspecifiedDims(Long...) - Method in class org.tensorflow.op.xla.SpmdShardToFullShape.Options: Sets the unspecifiedDims option.
unspecifiedDims(List<Long>) - Static method in class org.tensorflow.op.xla.SpmdShardToFullShape: Sets the unspecifiedDims option.
unspecifiedDims(Long...) - Static method in class org.tensorflow.op.xla.SpmdShardToFullShape: Sets the unspecifiedDims option.
Unstack<T extends TType> - Class in org.tensorflow.op.core: Unpacks a given dimension of a rank-R tensor into num rank-(R-1) tensors.
Unstack(Operation) - Constructor for class org.tensorflow.op.core.Unstack
unstack(Operand<T>, Long, Unstack.Options...) - Method in class org.tensorflow.op.Ops: Unpacks a given dimension of a rank-R tensor into num rank-(R-1) tensors.
Unstack.Inputs<T extends TType> - Class in org.tensorflow.op.core
Unstack.Options - Class in org.tensorflow.op.core: Optional attributes for Unstack
Unstage - Class in org.tensorflow.op.core: Op is similar to a lightweight Dequeue.
Unstage(Operation) - Constructor for class org.tensorflow.op.core.Unstage
unstage(List<Class<? extends TType>>, Unstage.Options...) - Method in class org.tensorflow.op.Ops: Op is similar to a lightweight Dequeue.
Unstage.Inputs - Class in org.tensorflow.op.core
Unstage.Options - Class in org.tensorflow.op.core: Optional attributes for Unstage
UnwrapDatasetVariant - Class in org.tensorflow.op.data: The UnwrapDatasetVariant operation
UnwrapDatasetVariant(Operation) - Constructor for class org.tensorflow.op.data.UnwrapDatasetVariant
unwrapDatasetVariant(Operand<? extends TType>) - Method in class org.tensorflow.op.DataOps: The UnwrapDatasetVariant operation
UnwrapDatasetVariant.Inputs - Class in org.tensorflow.op.data
Update(NativeStatus) - Method in class org.tensorflow.internal.c_api.NativeStatus: \brief If ok(), stores new_status into *this.
update - Variable in class org.tensorflow.op.xla.DynamicUpdateSlice.Inputs: A Tensor of type T.
UpdateBuilder(NodeBuilder) - Method in class org.tensorflow.internal.c_api.TF_Scope: Update the builder with properties accumulated in this scope.
UpdateProperties() - Method in class org.tensorflow.internal.c_api.Node
updates - Variable in class org.tensorflow.op.core.ResourceScatterAdd.Inputs: A tensor of updated values to add to ref.
updates - Variable in class org.tensorflow.op.core.ResourceScatterDiv.Inputs: A tensor of updated values to add to ref.
updates - Variable in class org.tensorflow.op.core.ResourceScatterMax.Inputs: A tensor of updated values to add to ref.
updates - Variable in class org.tensorflow.op.core.ResourceScatterMin.Inputs: A tensor of updated values to add to ref.
updates - Variable in class org.tensorflow.op.core.ResourceScatterMul.Inputs: A tensor of updated values to add to ref.
updates - Variable in class org.tensorflow.op.core.ResourceScatterNdAdd.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ResourceScatterNdMax.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ResourceScatterNdMin.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ResourceScatterNdSub.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ResourceScatterNdUpdate.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ResourceScatterSub.Inputs: A tensor of updated values to add to ref.
updates - Variable in class org.tensorflow.op.core.ResourceScatterUpdate.Inputs: A tensor of updated values to add to ref.
updates - Variable in class org.tensorflow.op.core.ScatterAdd.Inputs: A tensor of updated values to add to ref.
updates - Variable in class org.tensorflow.op.core.ScatterDiv.Inputs: A tensor of values that ref is divided by.
updates - Variable in class org.tensorflow.op.core.ScatterMax.Inputs: A tensor of updated values to reduce into ref.
updates - Variable in class org.tensorflow.op.core.ScatterMin.Inputs: A tensor of updated values to reduce into ref.
updates - Variable in class org.tensorflow.op.core.ScatterMul.Inputs: A tensor of updated values to multiply to ref.
updates - Variable in class org.tensorflow.op.core.ScatterNd.Inputs: Values to scatter into the output tensor.
updates - Variable in class org.tensorflow.op.core.ScatterNdAdd.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ScatterNdMax.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ScatterNdMin.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ScatterNdNonAliasingAdd.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ScatterNdSub.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ScatterNdUpdate.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ScatterSub.Inputs: A tensor of updated values to subtract from ref.
updates - Variable in class org.tensorflow.op.core.ScatterUpdate.Inputs: A tensor of updated values to store in ref.
updates - Variable in class org.tensorflow.op.core.TensorScatterNdAdd.Inputs: Updates to scatter into output.
updates - Variable in class org.tensorflow.op.core.TensorScatterNdMax.Inputs: Updates to scatter into output.
updates - Variable in class org.tensorflow.op.core.TensorScatterNdMin.Inputs: Updates to scatter into output.
updates - Variable in class org.tensorflow.op.core.TensorScatterNdSub.Inputs: Updates to scatter into output.
updates - Variable in class org.tensorflow.op.core.TensorScatterNdUpdate.Inputs: Updates to scatter into output.
updates - Variable in class org.tensorflow.op.risc.RiscScatter.Inputs: The updates input
updates - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Inputs: Value of updates used in the Adadelta optimization algorithm.
updates() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters: Gets updates.
updates - Variable in class org.tensorflow.op.xla.Scatter.Inputs: Array containing the values that must be used for scattering.
updateSlots - Variable in class org.tensorflow.op.train.ApplyAdagrad.Inputs: The updateSlots attribute
updateSlots(Boolean) - Method in class org.tensorflow.op.train.ApplyAdagrad.Options: Sets the updateSlots option.
updateSlots(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdagrad: Sets the updateSlots option.
updateSlots - Variable in class org.tensorflow.op.train.ApplyAdagradV2.Inputs: The updateSlots attribute
updateSlots(Boolean) - Method in class org.tensorflow.op.train.ApplyAdagradV2.Options: Sets the updateSlots option.
updateSlots(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdagradV2: Sets the updateSlots option.
updateSlots - Variable in class org.tensorflow.op.train.ResourceApplyAdagrad.Inputs: The updateSlots attribute
updateSlots(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdagrad.Options: Sets the updateSlots option.
updateSlots(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdagrad: Sets the updateSlots option.
updateSlots - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs: The updateSlots attribute
updateSlots(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Options: Sets the updateSlots option.
updateSlots(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagrad: Sets the updateSlots option.
updateSlots - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: The updateSlots attribute
updateSlots(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Options: Sets the updateSlots option.
updateSlots(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2: Sets the updateSlots option.
updateSlots - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: The updateSlots attribute
updateSlots(Boolean) - Method in class org.tensorflow.op.train.SparseApplyAdagrad.Options: Sets the updateSlots option.
updateSlots(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyAdagrad: Sets the updateSlots option.
Upper - Class in org.tensorflow.op.strings: Converts all lowercase characters into their respective uppercase replacements.
Upper(Operation) - Constructor for class org.tensorflow.op.strings.Upper
upper(Operand<TString>, Upper.Options...) - Method in class org.tensorflow.op.StringsOps: Converts all lowercase characters into their respective uppercase replacements.
Upper.Inputs - Class in org.tensorflow.op.strings
Upper.Options - Class in org.tensorflow.op.strings: Optional attributes for Upper
UpperBound - Class in org.tensorflow.op.core: Applies upper_bound(sorted_search_values, values) along each row.
UpperBound(Operation) - Constructor for class org.tensorflow.op.core.UpperBound
UpperBound.Inputs<T extends TType> - Class in org.tensorflow.op.core
upperFrequencyLimit - Variable in class org.tensorflow.op.audio.Mfcc.Inputs: The highest frequency to use when calculating the ceptstrum.
upperFrequencyLimit(Float) - Method in class org.tensorflow.op.audio.Mfcc.Options: Sets the upperFrequencyLimit option.
upperFrequencyLimit(Float) - Static method in class org.tensorflow.op.audio.Mfcc: Sets the upperFrequencyLimit option.
USE_CUDA_MALLOC_ASYNC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GPUOptions.Experimental
USE_NUMA_AFFINITY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto.Experimental
USE_PER_SESSION_THREADS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto
USE_PLUGIN_OPTIMIZERS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RewriterConfig
USE_RPC_FOR_INPROCESS_MASTER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RPCOptions
USE_RUN_HANDLER_POOL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.RunOptions.Experimental
USE_TFRT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto.Experimental
USE_UNIFIED_MEMORY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GPUOptions.Experimental
useCudnnOnGpu - Variable in class org.tensorflow.op.nn.Conv2d.Inputs: The useCudnnOnGpu attribute
useCudnnOnGpu(Boolean) - Method in class org.tensorflow.op.nn.Conv2d.Options: Sets the useCudnnOnGpu option.
useCudnnOnGpu(Boolean) - Static method in class org.tensorflow.op.nn.Conv2d: Sets the useCudnnOnGpu option.
useCudnnOnGpu - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: The useCudnnOnGpu attribute
useCudnnOnGpu(Boolean) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter.Options: Sets the useCudnnOnGpu option.
useCudnnOnGpu(Boolean) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilter: Sets the useCudnnOnGpu option.
useCudnnOnGpu - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: The useCudnnOnGpu attribute
useCudnnOnGpu(Boolean) - Method in class org.tensorflow.op.nn.Conv2dBackpropInput.Options: Sets the useCudnnOnGpu option.
useCudnnOnGpu(Boolean) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInput: Sets the useCudnnOnGpu option.
useDangerousLockedBuilders(Graph, boolean) - Static method in class org.tensorflow.BaseGradientAdapter: Use builders without locking.
useDefaultDevice - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The useDefaultDevice attribute
useDefaultDevice(Boolean) - Method in class org.tensorflow.op.data.ScanDataset.Options: Sets the useDefaultDevice option.
useDefaultDevice(Boolean) - Static method in class org.tensorflow.op.data.ScanDataset: Sets the useDefaultDevice option.
useFallback - Variable in class org.tensorflow.op.data.experimental.RebatchDataset.Inputs: The useFallback attribute
useFallback(Boolean) - Method in class org.tensorflow.op.data.experimental.RebatchDataset.Options: Sets the useFallback option.
useFallback(Boolean) - Static method in class org.tensorflow.op.data.experimental.RebatchDataset: Sets the useFallback option.
useImageIfNoBoundingBoxes - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: Controls behavior if no bounding boxes supplied.
useImageIfNoBoundingBoxes(Boolean) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options: Sets the useImageIfNoBoundingBoxes option.
useImageIfNoBoundingBoxes(Boolean) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Sets the useImageIfNoBoundingBoxes option.
useImageIfNoBoundingBoxes - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: Controls behavior if no bounding boxes supplied.
useImageIfNoBoundingBoxes(Boolean) - Method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Options: Sets the useImageIfNoBoundingBoxes option.
useImageIfNoBoundingBoxes(Boolean) - Static method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Sets the useImageIfNoBoundingBoxes option.
useInterOpParallelism - Variable in class org.tensorflow.op.data.experimental.MapDataset.Inputs: The useInterOpParallelism attribute
useInterOpParallelism(Boolean) - Method in class org.tensorflow.op.data.experimental.MapDataset.Options: Sets the useInterOpParallelism option.
useInterOpParallelism(Boolean) - Static method in class org.tensorflow.op.data.experimental.MapDataset: Sets the useInterOpParallelism option.
useInterOpParallelism - Variable in class org.tensorflow.op.data.MapDataset.Inputs: The useInterOpParallelism attribute
useInterOpParallelism(Boolean) - Method in class org.tensorflow.op.data.MapDataset.Options: Sets the useInterOpParallelism option.
useInterOpParallelism(Boolean) - Static method in class org.tensorflow.op.data.MapDataset: Sets the useInterOpParallelism option.
useInterOpParallelism - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The useInterOpParallelism attribute
useInterOpParallelism(Boolean) - Method in class org.tensorflow.op.data.ParallelMapDataset.Options: Sets the useInterOpParallelism option.
useInterOpParallelism(Boolean) - Static method in class org.tensorflow.op.data.ParallelMapDataset: Sets the useInterOpParallelism option.
useInterOpParallelism - Variable in class org.tensorflow.op.data.ReduceDataset.Inputs: The useInterOpParallelism attribute
useInterOpParallelism(Boolean) - Method in class org.tensorflow.op.data.ReduceDataset.Options: Sets the useInterOpParallelism option.
useInterOpParallelism(Boolean) - Static method in class org.tensorflow.op.data.ReduceDataset: Sets the useInterOpParallelism option.
useLocking - Variable in class org.tensorflow.op.core.Assign.Inputs: If True, the assignment will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.core.Assign.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.Assign: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.core.AssignAdd.Inputs: If True, the addition will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.core.AssignAdd.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.AssignAdd: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.core.AssignSub.Inputs: If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.core.AssignSub.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.AssignSub: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.core.ResourceScatterNdAdd.Inputs: An optional bool.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceScatterNdAdd.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceScatterNdAdd: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.core.ResourceScatterNdMax.Inputs: An optional bool.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceScatterNdMax.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceScatterNdMax: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.core.ResourceScatterNdMin.Inputs: An optional bool.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceScatterNdMin.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceScatterNdMin: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.core.ResourceScatterNdSub.Inputs: An optional bool.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceScatterNdSub.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceScatterNdSub: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.core.ResourceScatterNdUpdate.Inputs: An optional bool.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceScatterNdUpdate.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceScatterNdUpdate: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.core.ScatterAdd.Inputs: If True, the addition will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterAdd.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterAdd: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.core.ScatterDiv.Inputs: If True, the operation will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterDiv.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterDiv: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.core.ScatterMax.Inputs: If True, the update will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterMax.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterMax: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.core.ScatterMin.Inputs: If True, the update will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterMin.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterMin: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.core.ScatterMul.Inputs: If True, the operation will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterMul.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterMul: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.core.ScatterNdAdd.Inputs: An optional bool.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterNdAdd.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterNdAdd: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.core.ScatterNdMax.Inputs: An optional bool.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterNdMax.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterNdMax: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.core.ScatterNdMin.Inputs: An optional bool.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterNdMin.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterNdMin: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.core.ScatterNdSub.Inputs: An optional bool.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterNdSub.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterNdSub: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.core.ScatterNdUpdate.Inputs: An optional bool.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterNdUpdate.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterNdUpdate: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.core.ScatterSub.Inputs: If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterSub.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterSub: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.core.ScatterUpdate.Inputs: If True, the assignment will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterUpdate.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterUpdate: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ApplyAdadelta.Inputs: If True, updating of the var, accum and update_accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyAdadelta.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdadelta: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ApplyAdagrad.Inputs: If `True`, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyAdagrad.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdagrad: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyAdagradDa.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdagradDa: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ApplyAdagradV2.Inputs: If `True`, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyAdagradV2.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdagradV2: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: If `True`, updating of the var, m, and v tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyAdam.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdam: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: If `True`, updating of the var, m, and v tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyAdaMax.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdaMax: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ApplyAddSign.Inputs: If `True`, updating of the var and m tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyAddSign.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyAddSign: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: If `True`, updating of the var, mg, ms, and mom tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyCenteredRmsProp.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyCenteredRmsProp: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: If `True`, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyFtrl.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyFtrl: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ApplyGradientDescent.Inputs: If `True`, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyGradientDescent.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyGradientDescent: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ApplyMomentum.Inputs: If `True`, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyMomentum.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyMomentum: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ApplyPowerSign.Inputs: If `True`, updating of the var and m tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyPowerSign.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyPowerSign: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ApplyProximalAdagrad.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyProximalAdagrad.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyProximalAdagrad: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ApplyProximalGradientDescent.Inputs: If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyProximalGradientDescent.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyProximalGradientDescent: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: If `True`, updating of the var, ms, and mom tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyRmsProp.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyRmsProp: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs: If True, updating of the var, accum and update_accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdadelta.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdadelta: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyAdagrad.Inputs: If `True`, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdagrad.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdagrad: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdagradDa.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdagradDa: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: If `True`, updating of the var, m, and v tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdam.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdam: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: If `True`, updating of the var, m, and v tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdaMax.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdaMax: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: If `True`, updating of the var, m, and v tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyAddSign.Inputs: If `True`, updating of the var and m tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAddSign.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAddSign: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: If `True`, updating of the var, mg, ms, and mom tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: If `True`, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyFtrl.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyFtrl: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyGradientDescent.Inputs: If `True`, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyGradientDescent.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyGradientDescent: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Inputs: If `True`, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyKerasMomentum: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyMomentum.Inputs: If `True`, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyMomentum.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyMomentum: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs: If `True`, updating of the var and m tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyPowerSign.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyPowerSign: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyProximalAdagrad: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Inputs: If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: If `True`, updating of the var, ms, and mom tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyRmsProp.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyRmsProp: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdadelta: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs: If `True`, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagrad: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: If `True`, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: If `True`, updating of the var, mg, ms, and mom tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: If `True`, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyFtrl: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: If `True`, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: If `True`, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyMomentum: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs: If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: If `True`, updating of the var, ms, and mom tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyRmsProp: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyAdadelta.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyAdadelta: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: If `True`, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyAdagrad.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyAdagrad: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyAdagradDa.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyAdagradDa: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: If `True`, updating of the var, mg, ms, and mom tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyCenteredRmsProp: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: If `True`, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyFtrl.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyFtrl: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: If `True`, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyMomentum.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyMomentum: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyProximalAdagrad: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs: If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyProximalGradientDescent: Sets the useLocking option.
useLocking - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: If `True`, updating of the var, ms, and mom tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyRmsProp.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyRmsProp: Sets the useLocking option.
useNesterov - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: If `True`, uses the nesterov update.
useNesterov(Boolean) - Method in class org.tensorflow.op.train.ApplyAdam.Options: Sets the useNesterov option.
useNesterov(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdam: Sets the useNesterov option.
useNesterov - Variable in class org.tensorflow.op.train.ApplyMomentum.Inputs: If `True`, the tensor passed to compute grad will be var - lr * momentum * accum, so in the end, the var you get is actually var - lr * momentum * accum.
useNesterov(Boolean) - Method in class org.tensorflow.op.train.ApplyMomentum.Options: Sets the useNesterov option.
useNesterov(Boolean) - Static method in class org.tensorflow.op.train.ApplyMomentum: Sets the useNesterov option.
useNesterov - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: If `True`, uses the nesterov update.
useNesterov(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdam.Options: Sets the useNesterov option.
useNesterov(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdam: Sets the useNesterov option.
useNesterov - Variable in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Inputs: If `True`, the tensor passed to compute grad will be var + momentum * accum, so in the end, the var you get is actually var + momentum * accum.
useNesterov(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Options: Sets the useNesterov option.
useNesterov(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyKerasMomentum: Sets the useNesterov option.
useNesterov - Variable in class org.tensorflow.op.train.ResourceApplyMomentum.Inputs: If `True`, the tensor passed to compute grad will be var - lr * momentum * accum, so in the end, the var you get is actually var - lr * momentum * accum.
useNesterov(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyMomentum.Options: Sets the useNesterov option.
useNesterov(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyMomentum: Sets the useNesterov option.
useNesterov - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: If `True`, the tensor passed to compute grad will be var + momentum * accum, so in the end, the var you get is actually var + momentum * accum.
useNesterov(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Options: Sets the useNesterov option.
useNesterov(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum: Sets the useNesterov option.
useNesterov - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: If `True`, the tensor passed to compute grad will be var - lr * momentum * accum, so in the end, the var you get is actually var - lr * momentum * accum.
useNesterov(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Options: Sets the useNesterov option.
useNesterov(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyMomentum: Sets the useNesterov option.
useNesterov - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: If `True`, the tensor passed to compute grad will be var - lr * momentum * accum, so in the end, the var you get is actually var - lr * momentum * accum.
useNesterov(Boolean) - Method in class org.tensorflow.op.train.SparseApplyMomentum.Options: Sets the useNesterov option.
useNesterov(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyMomentum: Sets the useNesterov option.
useNodeNameSharing - Variable in class org.tensorflow.op.core.HashTable.Inputs: If true and shared_name is empty, the table is shared using the node name.
useNodeNameSharing(Boolean) - Method in class org.tensorflow.op.core.HashTable.Options: Sets the useNodeNameSharing option.
useNodeNameSharing(Boolean) - Static method in class org.tensorflow.op.core.HashTable: Sets the useNodeNameSharing option.
useNodeNameSharing - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: The useNodeNameSharing attribute
useNodeNameSharing(Boolean) - Method in class org.tensorflow.op.core.MutableDenseHashTable.Options: Sets the useNodeNameSharing option.
useNodeNameSharing(Boolean) - Static method in class org.tensorflow.op.core.MutableDenseHashTable: Sets the useNodeNameSharing option.
useNodeNameSharing - Variable in class org.tensorflow.op.core.MutableHashTable.Inputs: If true and shared_name is empty, the table is shared using the node name.
useNodeNameSharing(Boolean) - Method in class org.tensorflow.op.core.MutableHashTable.Options: Sets the useNodeNameSharing option.
useNodeNameSharing(Boolean) - Static method in class org.tensorflow.op.core.MutableHashTable: Sets the useNodeNameSharing option.
useNodeNameSharing - Variable in class org.tensorflow.op.core.MutableHashTableOfTensors.Inputs: The useNodeNameSharing attribute
useNodeNameSharing(Boolean) - Method in class org.tensorflow.op.core.MutableHashTableOfTensors.Options: Sets the useNodeNameSharing option.
useNodeNameSharing(Boolean) - Static method in class org.tensorflow.op.core.MutableHashTableOfTensors: Sets the useNodeNameSharing option.
usePeephole - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: Whether to use peephole weights.
usePeephole(Boolean) - Method in class org.tensorflow.op.nn.BlockLSTM.Options: Sets the usePeephole option.
usePeephole(Boolean) - Static method in class org.tensorflow.op.nn.BlockLSTM: Sets the usePeephole option.
usePeephole - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: Whether to use peephole weights.
usePeephole - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: Whether to use peephole weights.
usePeephole(Boolean) - Method in class org.tensorflow.op.nn.LSTMBlockCell.Options: Sets the usePeephole option.
usePeephole(Boolean) - Static method in class org.tensorflow.op.nn.LSTMBlockCell: Sets the usePeephole option.
usePeephole - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: Whether the cell uses peephole connections.
useQuoteDelim - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The useQuoteDelim input
useQuoteDelim - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The useQuoteDelim input
useQuoteDelim - Variable in class org.tensorflow.op.io.DecodeCsv.Inputs: If false, treats double quotation marks as regular characters inside of the string fields (ignoring RFC 4180, Section 2, Bullet 5).
useQuoteDelim(Boolean) - Method in class org.tensorflow.op.io.DecodeCsv.Options: Sets the useQuoteDelim option.
useQuoteDelim(Boolean) - Static method in class org.tensorflow.op.io.DecodeCsv: Sets the useQuoteDelim option.
USER_OBJECT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedObject
userName - Variable in class org.tensorflow.op.summary.CreateSummaryDbWriter.Inputs: The userName input
useShardFunc - Variable in class org.tensorflow.op.data.SaveDataset.Inputs: The useShardFunc attribute
useShardFunc(Boolean) - Method in class org.tensorflow.op.data.SaveDataset.Options: Sets the useShardFunc option.
useShardFunc(Boolean) - Static method in class org.tensorflow.op.data.SaveDataset: Sets the useShardFunc option.
useSpmdForXlaPartitioning - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: The useSpmdForXlaPartitioning attribute
useSpmdForXlaPartitioning(Boolean) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the useSpmdForXlaPartitioning option.
useSpmdForXlaPartitioning(Boolean) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the useSpmdForXlaPartitioning option.
useSpmdForXlaPartitioning - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

The useSpmdForXlaPartitioning attribute
useSpmdForXlaPartitioning(Boolean) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the useSpmdForXlaPartitioning option.
useSpmdForXlaPartitioning(Boolean) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the useSpmdForXlaPartitioning option.
useTpu - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: Whether to place the computation on the TPU.
useTpu(Boolean) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the useTpu option.
useTpu(Boolean) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the useTpu option.
useTpu - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

Whether to place the computation on the TPU.
useTpu(Boolean) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the useTpu option.
useTpu(Boolean) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the useTpu option.
using(Charset) - Method in interface org.tensorflow.types.TString: Use a specific charset for decoding data from a string tensor, instead of the default UTF-8.
UUID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.GPUInfo

V

v - Variable in class org.tensorflow.op.core.InplaceAdd.Inputs: A Tensor of type T.
v - Variable in class org.tensorflow.op.core.InplaceSub.Inputs: A Tensor of type T.
v - Variable in class org.tensorflow.op.core.InplaceUpdate.Inputs: A Tensor of type T.
v() - Method in class org.tensorflow.op.linalg.BatchSelfAdjointEig: Gets v.
v() - Method in class org.tensorflow.op.linalg.BatchSvd: Gets v.
v() - Method in class org.tensorflow.op.linalg.Eig: Gets v.
v() - Method in class org.tensorflow.op.linalg.SelfAdjointEig: Gets v.
v() - Method in class org.tensorflow.op.linalg.Svd: Gets v.
v - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization.Inputs: A 1D variance Tensor with size matching the last dimension of t.
v - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad.Inputs: A 1D variance Tensor with size matching the last dimension of t.
v - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: A 1D variance Tensor with size matching the last dimension of t.
v - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Inputs: The v input
v() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters: Gets v.
v - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: Should be from a Variable().
v - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: Should be from a Variable().
v - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: Should be from a Variable().
v - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: Should be from a Variable().
v - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Should be from a Variable().
V - Variable in class org.tensorflow.op.xla.KeyValueSort.Inputs: The V attribute
v() - Method in class org.tensorflow.op.xla.SelfAdjointEig: Gets v.
v() - Method in class org.tensorflow.op.xla.Svd: Gets v.
V1_VALUE - Static variable in enum org.tensorflow.proto.util.SaverDef.CheckpointFormatVersion: Deprecated format: tf.Saver() which works with tensorflow::table::Table.
V2_VALUE - Static variable in enum org.tensorflow.proto.util.SaverDef.CheckpointFormatVersion: Current format: more efficient.
valGrad() - Method in class org.tensorflow.op.sparse.SparseSliceGrad: Gets valGrad.
validateDescription(Signature.TensorDescription, Graph, String, String) - Static method in interface org.tensorflow.TensorFunction
validateIndices - Variable in class org.tensorflow.op.core.ResourceGather.Inputs: The validateIndices attribute
validateIndices(Boolean) - Method in class org.tensorflow.op.core.ResourceGather.Options: Sets the validateIndices option.
validateIndices(Boolean) - Static method in class org.tensorflow.op.core.ResourceGather: Sets the validateIndices option.
validateIndices - Variable in class org.tensorflow.op.core.SetSize.Inputs: The validateIndices attribute
validateIndices(Boolean) - Method in class org.tensorflow.op.core.SetSize.Options: Sets the validateIndices option.
validateIndices(Boolean) - Static method in class org.tensorflow.op.core.SetSize: Sets the validateIndices option.
validateIndices - Variable in class org.tensorflow.op.sparse.DenseToDenseSetOperation.Inputs: The validateIndices attribute
validateIndices(Boolean) - Method in class org.tensorflow.op.sparse.DenseToDenseSetOperation.Options: Sets the validateIndices option.
validateIndices(Boolean) - Static method in class org.tensorflow.op.sparse.DenseToDenseSetOperation: Sets the validateIndices option.
validateIndices - Variable in class org.tensorflow.op.sparse.DenseToSparseSetOperation.Inputs: The validateIndices attribute
validateIndices(Boolean) - Method in class org.tensorflow.op.sparse.DenseToSparseSetOperation.Options: Sets the validateIndices option.
validateIndices(Boolean) - Static method in class org.tensorflow.op.sparse.DenseToSparseSetOperation: Sets the validateIndices option.
validateIndices - Variable in class org.tensorflow.op.sparse.SparseToDense.Inputs: If true, indices are checked to make sure they are sorted in lexicographic order and that there are no repeats.
validateIndices(Boolean) - Method in class org.tensorflow.op.sparse.SparseToDense.Options: Sets the validateIndices option.
validateIndices(Boolean) - Static method in class org.tensorflow.op.sparse.SparseToDense: Sets the validateIndices option.
validateIndices - Variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs: The validateIndices attribute
validateIndices(Boolean) - Method in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Options: Sets the validateIndices option.
validateIndices(Boolean) - Static method in class org.tensorflow.op.sparse.SparseToSparseSetOperation: Sets the validateIndices option.
validateShape - Variable in class org.tensorflow.op.core.Assign.Inputs: If true, the operation will validate that the shape of 'value' matches the shape of the Tensor being assigned to.
validateShape(Boolean) - Method in class org.tensorflow.op.core.Assign.Options: Sets the validateShape option.
validateShape(Boolean) - Static method in class org.tensorflow.op.core.Assign: Sets the validateShape option.
validDetections() - Method in class org.tensorflow.op.image.CombinedNonMaxSuppression: Gets validDetections.
validOutputs() - Method in class org.tensorflow.op.image.NonMaxSuppression: Gets validOutputs.
value - Variable in class org.tensorflow.op.core.Assign.Inputs: The value to be assigned to the variable.
value - Variable in class org.tensorflow.op.core.AssignAdd.Inputs: The value to be added to the variable.
value - Variable in class org.tensorflow.op.core.AssignAddVariableOp.Inputs: the value by which the variable will be incremented.
value - Variable in class org.tensorflow.op.core.AssignSub.Inputs: The value to be subtracted to the variable.
value - Variable in class org.tensorflow.op.core.AssignSubVariableOp.Inputs: the value by which the variable will be incremented.
value - Variable in class org.tensorflow.op.core.AssignVariableOp.Inputs: the value to set the new tensor to use.
value() - Method in class org.tensorflow.op.core.DestroyTemporaryVariable: Gets value.
value - Variable in class org.tensorflow.op.core.Fill.Inputs: 0-D (scalar).
value - Variable in class org.tensorflow.op.core.GetSessionHandle.Inputs: The tensor to be stored.
value() - Method in class org.tensorflow.op.core.GetSessionTensor: Gets value.
value() - Method in class org.tensorflow.op.core.ReadVariableOp: Gets value.
value - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The value input
value - Variable in class org.tensorflow.op.core.Split.Inputs: The tensor to split.
value - Variable in class org.tensorflow.op.core.SplitV.Inputs: The tensor to split.
value - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The value input
value() - Method in class org.tensorflow.op.core.TensorArrayConcat: Gets value.
value() - Method in class org.tensorflow.op.core.TensorArrayGather: Gets value.
value() - Method in class org.tensorflow.op.core.TensorArrayPack: Gets value.
value() - Method in class org.tensorflow.op.core.TensorArrayRead: Gets value.
value - Variable in class org.tensorflow.op.core.TensorArrayScatter.Inputs: The concatenated tensor to write to the TensorArray.
value - Variable in class org.tensorflow.op.core.TensorArraySplit.Inputs: The concatenated tensor to write to the TensorArray.
value - Variable in class org.tensorflow.op.core.TensorArrayUnpack.Inputs: The value input
value - Variable in class org.tensorflow.op.core.TensorArrayWrite.Inputs: The tensor to write to the TensorArray.
value - Variable in class org.tensorflow.op.core.TensorMapInsert.Inputs: The value input
value() - Method in class org.tensorflow.op.core.TensorMapLookup: Gets value.
value - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The value input
value - Variable in class org.tensorflow.op.core.Unstack.Inputs: 1-D or higher, with axis dimension size equal to num.
value() - Method in class org.tensorflow.op.io.ReaderRead: Gets value.
value - Variable in class org.tensorflow.op.nn.AvgPool.Inputs: 4-D with shape [batch, height, width, channels].
value - Variable in class org.tensorflow.op.nn.BiasAdd.Inputs: Any number of dimensions.
value - Variable in class org.tensorflow.op.nn.FractionalAvgPool.Inputs: 4-D with shape [batch, height, width, channels].
value - Variable in class org.tensorflow.op.nn.FractionalMaxPool.Inputs: 4-D with shape [batch, height, width, channels].
value - Variable in class org.tensorflow.op.random.RandomShuffle.Inputs: The tensor to be shuffled.
value() - Method in class org.tensorflow.op.random.RngReadAndSkip: Gets value.
value - Variable in class org.tensorflow.op.risc.RiscPool.Inputs: The value input
value - Variable in class org.tensorflow.op.summary.WriteScalarSummary.Inputs: The value input
VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.example.BytesList
VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.example.FloatList
VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.example.Int64List
VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CollectionDef.AnyList
VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CollectionDef.BytesList
VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CollectionDef.FloatList
VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CollectionDef.Int64List
VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CollectionDef.NodeList
VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpInfo.TensorProperties
VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.PairValue
VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.Summary
VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.MetricEntry
valueDtype - Variable in class org.tensorflow.op.core.AnonymousHashTable.Inputs: Type of the table values.
valueDtype - Variable in class org.tensorflow.op.core.HashTable.Inputs: Type of the table values.
valueDtype - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: Type of the table values.
valueDtype - Variable in class org.tensorflow.op.core.MutableHashTable.Inputs: Type of the table values.
valueDtype - Variable in class org.tensorflow.op.core.MutableHashTableOfTensors.Inputs: Type of the table values.
valueDtype - Variable in class org.tensorflow.op.core.TensorMapErase.Inputs: The valueDtype attribute
valueDtype - Variable in class org.tensorflow.op.core.TensorMapInsert.Inputs: The valueDtype attribute
valueDtype - Variable in class org.tensorflow.op.core.TensorMapLookup.Inputs: The valueDtype attribute
valueIndex - Variable in class org.tensorflow.op.core.InitializeTableFromTextFile.Inputs: Column index that represents information of a line to get the table `value` values from.
valueIndex() - Method in class org.tensorflow.op.core.Merge: Gets valueIndex.
valueIndex() - Method in class org.tensorflow.op.core.RefMerge: Gets valueIndex.
valueOf(String) - Static method in enum org.tensorflow.DeviceSpec.DeviceType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.EagerSession.DevicePlacementPolicy: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.ExecutionEnvironment.Types: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.AutoShardPolicy: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.data.AutoShardPolicy: Deprecated.
Use AutoShardPolicy.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.data.AutoShardPolicy
valueOf(String) - Static method in enum org.tensorflow.proto.data.AutotuneOptions.OptionalCpuBudgetCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.data.AutotuneOptions.OptionalCpuBudgetCase: Deprecated.
Use AutotuneOptions.OptionalCpuBudgetCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.data.AutotuneOptions.OptionalEnabledCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.data.AutotuneOptions.OptionalEnabledCase: Deprecated.
Use AutotuneOptions.OptionalEnabledCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.data.AutotuneOptions.OptionalRamBudgetCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.data.AutotuneOptions.OptionalRamBudgetCase: Deprecated.
Use AutotuneOptions.OptionalRamBudgetCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy: Deprecated.
Use DataService.ProcessingModeDef.ShardingPolicy.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy
valueOf(String) - Static method in enum org.tensorflow.proto.data.DistributeOptions.OptionalNumDevicesCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DistributeOptions.OptionalNumDevicesCase: Deprecated.
Use DistributeOptions.OptionalNumDevicesCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.data.ExternalStatePolicy: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.data.ExternalStatePolicy: Deprecated.
Use ExternalStatePolicy.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.data.ExternalStatePolicy
valueOf(String) - Static method in enum org.tensorflow.proto.data.model.AutotuneAlgorithm: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.data.model.AutotuneAlgorithm: Deprecated.
Use AutotuneAlgorithm.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.data.model.AutotuneAlgorithm
valueOf(String) - Static method in enum org.tensorflow.proto.data.model.NodeClass: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.data.model.NodeClass: Deprecated.
Use NodeClass.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.data.model.NodeClass
valueOf(String) - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalApplyDefaultOptimizationsCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalApplyDefaultOptimizationsCase: Deprecated.
Use OptimizationOptions.OptionalApplyDefaultOptimizationsCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalFilterFusionCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalFilterFusionCase: Deprecated.
Use OptimizationOptions.OptionalFilterFusionCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalMapAndBatchFusionCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalMapAndBatchFusionCase: Deprecated.
Use OptimizationOptions.OptionalMapAndBatchFusionCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalMapAndFilterFusionCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalMapAndFilterFusionCase: Deprecated.
Use OptimizationOptions.OptionalMapAndFilterFusionCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalMapFusionCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalMapFusionCase: Deprecated.
Use OptimizationOptions.OptionalMapFusionCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalMapParallelizationCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalMapParallelizationCase: Deprecated.
Use OptimizationOptions.OptionalMapParallelizationCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalNoopEliminationCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalNoopEliminationCase: Deprecated.
Use OptimizationOptions.OptionalNoopEliminationCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalParallelBatchCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalParallelBatchCase: Deprecated.
Use OptimizationOptions.OptionalParallelBatchCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalShuffleAndRepeatFusionCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalShuffleAndRepeatFusionCase: Deprecated.
Use OptimizationOptions.OptionalShuffleAndRepeatFusionCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.data.Options.OptionalDeterministicCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.data.Options.OptionalDeterministicCase: Deprecated.
Use Options.OptionalDeterministicCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.data.Options.OptionalExternalStatePolicyCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.data.Options.OptionalExternalStatePolicyCase: Deprecated.
Use Options.OptionalExternalStatePolicyCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.data.Options.OptionalSlackCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.data.Options.OptionalSlackCase: Deprecated.
Use Options.OptionalSlackCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.data.ThreadingOptions.OptionalMaxIntraOpParallelismCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.data.ThreadingOptions.OptionalMaxIntraOpParallelismCase: Deprecated.
Use ThreadingOptions.OptionalMaxIntraOpParallelismCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.data.ThreadingOptions.OptionalPrivateThreadpoolSizeCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.data.ThreadingOptions.OptionalPrivateThreadpoolSizeCase: Deprecated.
Use ThreadingOptions.OptionalPrivateThreadpoolSizeCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.example.Feature.KindCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.example.Feature.KindCase: Deprecated.
Use Feature.KindCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.example.FeatureConfiguration.ConfigCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.example.FeatureConfiguration.ConfigCase: Deprecated.
Use FeatureConfiguration.ConfigCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.framework.ApiDef.Visibility: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.ApiDef.Visibility: Deprecated.
Use ApiDef.Visibility.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.framework.ApiDef.Visibility
valueOf(String) - Static method in enum org.tensorflow.proto.framework.AttrValue.ValueCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.AttrValue.ValueCase: Deprecated.
Use AttrValue.ValueCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.framework.Code: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.Code: Deprecated.
Use Code.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.framework.Code
valueOf(String) - Static method in enum org.tensorflow.proto.framework.CollectionDef.KindCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.CollectionDef.KindCase: Deprecated.
Use CollectionDef.KindCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.framework.ConfigProto.Experimental.MlirBridgeRollout: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.ConfigProto.Experimental.MlirBridgeRollout: Deprecated.
Use ConfigProto.Experimental.MlirBridgeRollout.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.framework.ConfigProto.Experimental.MlirBridgeRollout
valueOf(String) - Static method in enum org.tensorflow.proto.framework.ControlFlowContextDef.CtxtCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.ControlFlowContextDef.CtxtCase: Deprecated.
Use ControlFlowContextDef.CtxtCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.framework.DataClass: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.DataClass: Deprecated.
Use DataClass.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.framework.DataClass
valueOf(String) - Static method in enum org.tensorflow.proto.framework.DataType: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.DataType: Deprecated.
Use DataType.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.framework.DataType
valueOf(String) - Static method in enum org.tensorflow.proto.framework.FullTypeDef.AttrCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.FullTypeDef.AttrCase: Deprecated.
Use FullTypeDef.AttrCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.framework.FullTypeId: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.FullTypeId: Deprecated.
Use FullTypeId.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.framework.FullTypeId
valueOf(String) - Static method in enum org.tensorflow.proto.framework.FunctionSpec.JitCompile: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.FunctionSpec.JitCompile: Deprecated.
Use FunctionSpec.JitCompile.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.framework.FunctionSpec.JitCompile
valueOf(String) - Static method in enum org.tensorflow.proto.framework.GraphTransferInfo.Destination: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.GraphTransferInfo.Destination: Deprecated.
Use GraphTransferInfo.Destination.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.framework.GraphTransferInfo.Destination
valueOf(String) - Static method in enum org.tensorflow.proto.framework.OpPerformance.ExecutionTimeCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.OpPerformance.ExecutionTimeCase: Deprecated.
Use OpPerformance.ExecutionTimeCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.framework.OptimizerOptions.GlobalJitLevel: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.OptimizerOptions.GlobalJitLevel: Deprecated.
Use OptimizerOptions.GlobalJitLevel.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.framework.OptimizerOptions.GlobalJitLevel
valueOf(String) - Static method in enum org.tensorflow.proto.framework.OptimizerOptions.Level: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.OptimizerOptions.Level: Deprecated.
Use OptimizerOptions.Level.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.framework.OptimizerOptions.Level
valueOf(String) - Static method in enum org.tensorflow.proto.framework.RewriterConfig.CpuLayout: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.RewriterConfig.CpuLayout: Deprecated.
Use RewriterConfig.CpuLayout.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.framework.RewriterConfig.CpuLayout
valueOf(String) - Static method in enum org.tensorflow.proto.framework.RewriterConfig.MemOptType: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.RewriterConfig.MemOptType: Deprecated.
Use RewriterConfig.MemOptType.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.framework.RewriterConfig.MemOptType
valueOf(String) - Static method in enum org.tensorflow.proto.framework.RewriterConfig.NumIterationsType: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.RewriterConfig.NumIterationsType: Deprecated.
Use RewriterConfig.NumIterationsType.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.framework.RewriterConfig.NumIterationsType
valueOf(String) - Static method in enum org.tensorflow.proto.framework.RewriterConfig.Toggle: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.RewriterConfig.Toggle: Deprecated.
Use RewriterConfig.Toggle.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.framework.RewriterConfig.Toggle
valueOf(String) - Static method in enum org.tensorflow.proto.framework.RunOptions.TraceLevel: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.RunOptions.TraceLevel: Deprecated.
Use RunOptions.TraceLevel.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.framework.RunOptions.TraceLevel
valueOf(String) - Static method in enum org.tensorflow.proto.framework.SavedObject.KindCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.SavedObject.KindCase: Deprecated.
Use SavedObject.KindCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.framework.StructuredValue.KindCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.StructuredValue.KindCase: Deprecated.
Use StructuredValue.KindCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.framework.Summary.Value.ValueCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.Summary.Value.ValueCase: Deprecated.
Use Summary.Value.ValueCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.framework.TensorInfo.EncodingCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.TensorInfo.EncodingCase: Deprecated.
Use TensorInfo.EncodingCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.framework.TensorSliceProto.Extent.HasLengthCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.TensorSliceProto.Extent.HasLengthCase: Deprecated.
Use TensorSliceProto.Extent.HasLengthCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.framework.TypeSpecProto.TypeSpecClass: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.TypeSpecProto.TypeSpecClass: Deprecated.
Use TypeSpecProto.TypeSpecClass.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.framework.TypeSpecProto.TypeSpecClass
valueOf(String) - Static method in enum org.tensorflow.proto.framework.VariableAggregation: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.VariableAggregation: Deprecated.
Use VariableAggregation.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.framework.VariableAggregation
valueOf(String) - Static method in enum org.tensorflow.proto.framework.VariableSynchronization: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.VariableSynchronization: Deprecated.
Use VariableSynchronization.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.framework.VariableSynchronization
valueOf(String) - Static method in enum org.tensorflow.proto.framework.VerifierConfig.Toggle: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.framework.VerifierConfig.Toggle: Deprecated.
Use VerifierConfig.Toggle.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.framework.VerifierConfig.Toggle
valueOf(String) - Static method in enum org.tensorflow.proto.profiler.ProfileOptions.DeviceType: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.profiler.ProfileOptions.DeviceType: Deprecated.
Use ProfileOptions.DeviceType.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.profiler.ProfileOptions.DeviceType
valueOf(String) - Static method in enum org.tensorflow.proto.profiler.XEvent.DataCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.profiler.XEvent.DataCase: Deprecated.
Use XEvent.DataCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.profiler.XStat.ValueCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.profiler.XStat.ValueCase: Deprecated.
Use XStat.ValueCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.util.BundleHeaderProto.Endianness: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.util.BundleHeaderProto.Endianness: Deprecated.
Use BundleHeaderProto.Endianness.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.util.BundleHeaderProto.Endianness
valueOf(String) - Static method in enum org.tensorflow.proto.util.DebugEvent.WhatCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.util.DebugEvent.WhatCase: Deprecated.
Use DebugEvent.WhatCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.util.Event.WhatCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.util.Event.WhatCase: Deprecated.
Use Event.WhatCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.util.LogMessage.Level: Deprecated.

Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.util.LogMessage.Level: Deprecated.
Use LogMessage.Level.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.util.LogMessage.Level: Deprecated.
valueOf(String) - Static method in enum org.tensorflow.proto.util.SaverDef.CheckpointFormatVersion: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.util.SaverDef.CheckpointFormatVersion: Deprecated.
Use SaverDef.CheckpointFormatVersion.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.util.SaverDef.CheckpointFormatVersion
valueOf(String) - Static method in enum org.tensorflow.proto.util.SessionLog.SessionStatus: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.util.SessionLog.SessionStatus: Deprecated.
Use SessionLog.SessionStatus.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.util.SessionLog.SessionStatus
valueOf(String) - Static method in enum org.tensorflow.proto.util.TensorDebugMode: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.util.TensorDebugMode: Deprecated.
Use TensorDebugMode.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.util.TensorDebugMode
valueOf(String) - Static method in enum org.tensorflow.proto.util.testlog.CommitId.KindCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.util.testlog.CommitId.KindCase: Deprecated.
Use CommitId.KindCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.util.testlog.EntryValue.KindCase: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.util.testlog.EntryValue.KindCase: Deprecated.
Use EntryValue.KindCase.forNumber(int) instead.
valueOf(String) - Static method in enum org.tensorflow.proto.util.testlog.TestResults.BenchmarkType: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.util.testlog.TestResults.BenchmarkType: Deprecated.
Use TestResults.BenchmarkType.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.util.testlog.TestResults.BenchmarkType
valueOf(String) - Static method in enum org.tensorflow.proto.util.WorkerHealth: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.util.WorkerHealth: Deprecated.
Use WorkerHealth.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.util.WorkerHealth
valueOf(String) - Static method in enum org.tensorflow.proto.util.WorkerShutdownMode: Returns the enum constant of this type with the specified name.
valueOf(int) - Static method in enum org.tensorflow.proto.util.WorkerShutdownMode: Deprecated.
Use WorkerShutdownMode.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.util.WorkerShutdownMode
valueRange - Variable in class org.tensorflow.op.core.HistogramFixedWidth.Inputs: Shape [2] Tensor of same dtype as values.
values() - Static method in enum org.tensorflow.DeviceSpec.DeviceType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.EagerSession.DevicePlacementPolicy: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.ExecutionEnvironment.Types: Returns an array containing the constants of this enum type, in the order they are declared.
values - Variable in class org.tensorflow.op.core.BarrierInsertMany.Inputs: An any-dimensional tensor of values, which are associated with the respective keys.
values() - Method in class org.tensorflow.op.core.BarrierTakeMany: Gets values.
values - Variable in class org.tensorflow.op.core.Concat.Inputs: List of N Tensors to concatenate.
values() - Method in class org.tensorflow.op.core.DecodeProto: Gets values.
values - Variable in class org.tensorflow.op.core.EncodeProto.Inputs: List of tensors containing values for the corresponding field.
values - Variable in class org.tensorflow.op.core.HistogramFixedWidth.Inputs: Numeric Tensor.
values - Variable in class org.tensorflow.op.core.InitializeTable.Inputs: Values of type Tval.
values() - Method in class org.tensorflow.op.core.LookupTableExport: Gets values.
values() - Method in class org.tensorflow.op.core.LookupTableFind: Gets values.
values - Variable in class org.tensorflow.op.core.LookupTableImport.Inputs: Values to associate with keys.
values - Variable in class org.tensorflow.op.core.LookupTableInsert.Inputs: Values to associate with keys.
values - Variable in class org.tensorflow.op.core.LowerBound.Inputs: 2-D Tensor with the same numbers of rows as sorted_search_values.
values() - Method in class org.tensorflow.op.core.MapPeek: Gets values.
values - Variable in class org.tensorflow.op.core.MapStage.Inputs: a list of tensors dtypes A list of data types that inserted values should adhere to.
values() - Method in class org.tensorflow.op.core.MapUnstage: Gets values.
values() - Method in class org.tensorflow.op.core.MapUnstageNoKey: Gets values.
values() - Method in class org.tensorflow.op.core.OrderedMapPeek: Gets values.
values - Variable in class org.tensorflow.op.core.OrderedMapStage.Inputs: a list of tensors dtypes A list of data types that inserted values should adhere to.
values() - Method in class org.tensorflow.op.core.OrderedMapUnstage: Gets values.
values() - Method in class org.tensorflow.op.core.OrderedMapUnstageNoKey: Gets values.
values - Variable in class org.tensorflow.op.core.ParallelConcat.Inputs: Tensors to be concatenated.
values - Variable in class org.tensorflow.op.core.Stack.Inputs: Must be of same shape and type.
values - Variable in class org.tensorflow.op.core.Stage.Inputs: a list of tensors dtypes A list of data types that inserted values should adhere to.
values() - Method in class org.tensorflow.op.core.StagePeek: Gets values.
values() - Method in class org.tensorflow.op.core.TensorListGather: Gets values.
values() - Method in class org.tensorflow.op.core.Unstage: Gets values.
values - Variable in class org.tensorflow.op.core.UpperBound.Inputs: 2-D Tensor with the same numbers of rows as sorted_search_values.
values - Variable in class org.tensorflow.op.data.SparseTensorSliceDataset.Inputs: The values input
values() - Method in class org.tensorflow.op.io.ReaderReadUpTo: Gets values.
values() - Method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents: Gets values.
values() - Method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToSparseTensor: Gets values.
values - Variable in class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix.Inputs: SparseTensor values.
values() - Method in class org.tensorflow.op.nn.NthElement: Gets values.
values() - Method in class org.tensorflow.op.nn.TopK: Gets values.
values - Variable in class org.tensorflow.op.quantization.QuantizedConcat.Inputs: The N Tensors to concatenate.
values - Variable in class org.tensorflow.op.ragged.RaggedBincount.Inputs: 2D int Tensor.
values - Variable in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Inputs: Tensor containing values of the sparse tensor to count.
values - Variable in class org.tensorflow.op.ragged.RaggedTensorToTensor.Inputs: A 1D tensor representing the values of the ragged tensor.
values - Variable in class org.tensorflow.op.risc.RiscConcat.Inputs: The values input
values - Variable in class org.tensorflow.op.sparse.DenseCountSparseOutput.Inputs: Tensor containing data to count.
values() - Method in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient: Gets values.
values - Variable in class org.tensorflow.op.sparse.SparseBincount.Inputs: 1D int Tensor.
values - Variable in class org.tensorflow.op.sparse.SparseConcat.Inputs: 1-D.
values - Variable in class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs: Tensor containing values of the sparse tensor to count.
values - Variable in class org.tensorflow.op.sparse.SparseCross.Inputs: 1-D.
values - Variable in class org.tensorflow.op.sparse.SparseCrossHashed.Inputs: 1-D.
values - Variable in class org.tensorflow.op.sparse.SparseFillEmptyRows.Inputs: 1-D.
values - Variable in class org.tensorflow.op.sparse.SparseSlice.Inputs: 1-D tensor represents the values of the sparse tensor.
values - Variable in class org.tensorflow.op.sparse.SparseSplit.Inputs: 1-D tensor represents the values of the sparse tensor.
values() - Method in class org.tensorflow.op.strings.StringSplit: Gets values.
values - Variable in class org.tensorflow.op.summary.HistogramSummary.Inputs: Any shape.
values - Variable in class org.tensorflow.op.summary.ScalarSummary.Inputs: Same shape as `tags.
values - Variable in class org.tensorflow.op.summary.WriteHistogramSummary.Inputs: The values input
values - Variable in class org.tensorflow.op.xla.KeyValueSort.Inputs: A Tensor of type V.
values() - Static method in enum org.tensorflow.proto.data.AutoShardPolicy: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.AutotuneOptions.OptionalCpuBudgetCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.AutotuneOptions.OptionalEnabledCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.AutotuneOptions.OptionalRamBudgetCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DistributeOptions.OptionalNumDevicesCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.ExternalStatePolicy: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.model.AutotuneAlgorithm: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.model.NodeClass: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalApplyDefaultOptimizationsCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalFilterFusionCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalMapAndBatchFusionCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalMapAndFilterFusionCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalMapFusionCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalMapParallelizationCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalNoopEliminationCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalParallelBatchCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.OptimizationOptions.OptionalShuffleAndRepeatFusionCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.Options.OptionalDeterministicCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.Options.OptionalExternalStatePolicyCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.Options.OptionalSlackCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.ThreadingOptions.OptionalMaxIntraOpParallelismCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.ThreadingOptions.OptionalPrivateThreadpoolSizeCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.example.Feature.KindCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.example.FeatureConfiguration.ConfigCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.ApiDef.Visibility: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.AttrValue.ValueCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.Code: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.CollectionDef.KindCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.ConfigProto.Experimental.MlirBridgeRollout: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.ControlFlowContextDef.CtxtCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.DataClass: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.DataType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.FullTypeDef.AttrCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.FullTypeId: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.FunctionSpec.JitCompile: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.GraphTransferInfo.Destination: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.OpPerformance.ExecutionTimeCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.OptimizerOptions.GlobalJitLevel: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.OptimizerOptions.Level: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.RewriterConfig.CpuLayout: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.RewriterConfig.MemOptType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.RewriterConfig.NumIterationsType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.RewriterConfig.Toggle: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.RunOptions.TraceLevel: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.SavedObject.KindCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.StructuredValue.KindCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.Summary.Value.ValueCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.TensorInfo.EncodingCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.TensorSliceProto.Extent.HasLengthCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.TypeSpecProto.TypeSpecClass: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.VariableAggregation: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.VariableSynchronization: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.framework.VerifierConfig.Toggle: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.profiler.ProfileOptions.DeviceType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.profiler.XEvent.DataCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.profiler.XStat.ValueCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.util.BundleHeaderProto.Endianness: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.util.DebugEvent.WhatCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.util.Event.WhatCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.util.LogMessage.Level: Deprecated.

Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.util.SaverDef.CheckpointFormatVersion: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.util.SessionLog.SessionStatus: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.util.TensorDebugMode: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.util.testlog.CommitId.KindCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.util.testlog.EntryValue.KindCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.util.testlog.TestResults.BenchmarkType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.util.WorkerHealth: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.util.WorkerShutdownMode: Returns an array containing the constants of this enum type, in the order they are declared.
VALUES_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.CondContextDef
VALUES_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.WhileContextDef
VALUES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ListValue
VALUES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.NamedTupleValue
VALUES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TupleValue
VALUES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ValuesDef
VALUES_OUTPUT_TENSOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.example.FixedLenFeatureProto
VALUES_OUTPUT_TENSOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.example.VarLenFeatureProto
VALUES_TENSOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorInfo.CooSparse
ValuesDef - Class in org.tensorflow.proto.framework: Protocol buffer representing the values in ControlFlowContext.
ValuesDef.Builder - Class in org.tensorflow.proto.framework: Protocol buffer representing the values in ControlFlowContext.
ValuesDefOrBuilder - Interface in org.tensorflow.proto.framework
valueShape - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: The shape of each value.
valueShape(Shape) - Method in class org.tensorflow.op.core.MutableDenseHashTable.Options: Sets the valueShape option.
valueShape(Shape) - Static method in class org.tensorflow.op.core.MutableDenseHashTable: Sets the valueShape option.
valueShape - Variable in class org.tensorflow.op.core.MutableHashTableOfTensors.Inputs: The valueShape attribute
valueShape(Shape) - Method in class org.tensorflow.op.core.MutableHashTableOfTensors.Options: Sets the valueShape option.
valueShape(Shape) - Static method in class org.tensorflow.op.core.MutableHashTableOfTensors: Sets the valueShape option.
var - Variable in class org.tensorflow.op.train.ApplyAdadelta.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyAdagrad.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyAdagradV2.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyAddSign.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyGradientDescent.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyMomentum.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyPowerSign.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyProximalAdagrad.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyProximalGradientDescent.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyAdagrad.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyAddSign.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyGradientDescent.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyMomentum.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: The var input
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: The var input
var - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: Should be from a Variable().
VAR_LEN_FEATURE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.example.FeatureConfiguration
VAR_OFFSET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SaveSliceInfoDef
VAR_SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SaveSliceInfoDef
VarHandleOp - Class in org.tensorflow.op.core: Creates a handle to a Variable resource.
VarHandleOp(Operation) - Constructor for class org.tensorflow.op.core.VarHandleOp
varHandleOp(Class<T>, Shape, VarHandleOp.Options...) - Method in class org.tensorflow.op.Ops: Creates a handle to a Variable resource.
VarHandleOp.Inputs - Class in org.tensorflow.op.core
VarHandleOp.Options - Class in org.tensorflow.op.core: Optional attributes for VarHandleOp
Variable<T extends TType> - Class in org.tensorflow.op.core: Holds state in the form of a tensor that persists across steps.
Variable(Operation) - Constructor for class org.tensorflow.op.core.Variable
variable(Operand<T>, Variable.Options...) - Method in class org.tensorflow.op.Ops: Factory method to create a new Variable with its initializer.
variable(Shape, Class<T>, Variable.Options...) - Method in class org.tensorflow.op.Ops: Holds state in the form of a tensor that persists across steps.
Variable.Inputs - Class in org.tensorflow.op.core
Variable.Options - Class in org.tensorflow.op.core: Optional attributes for Variable
VARIABLE_AGGREGATION_MEAN_VALUE - Static variable in enum org.tensorflow.proto.framework.VariableAggregation: `MEAN`: Take the arithmetic mean ("average") of the updates across replicas.
VARIABLE_AGGREGATION_NONE_VALUE - Static variable in enum org.tensorflow.proto.framework.VariableAggregation: `NONE`: This is the default, giving an error if you use a variable-update operation with multiple replicas.
VARIABLE_AGGREGATION_ONLY_FIRST_REPLICA_VALUE - Static variable in enum org.tensorflow.proto.framework.VariableAggregation: `ONLY_FIRST_REPLICA`: This is for when every replica is performing the same update, but we only want to perform the update once.
VARIABLE_AGGREGATION_SUM_VALUE - Static variable in enum org.tensorflow.proto.framework.VariableAggregation: `SUM`: Add the updates across replicas.
VARIABLE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedObject
VARIABLE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.VariableDef
VARIABLE_SPEC_VALUE - Static variable in enum org.tensorflow.proto.framework.TypeSpecProto.TypeSpecClass: tf.VariableSpec
VARIABLE_SYNCHRONIZATION_AUTO_VALUE - Static variable in enum org.tensorflow.proto.framework.VariableSynchronization: `AUTO`: Indicates that the synchronization will be determined by the current `DistributionStrategy` (eg.
VARIABLE_SYNCHRONIZATION_NONE_VALUE - Static variable in enum org.tensorflow.proto.framework.VariableSynchronization: `NONE`: Indicates that there will only be one copy of the variable, so there is no need to sync.
VARIABLE_SYNCHRONIZATION_ON_READ_VALUE - Static variable in enum org.tensorflow.proto.framework.VariableSynchronization: `ON_READ`: Indicates that the variable will be aggregated across devices when it is read (eg.
VARIABLE_SYNCHRONIZATION_ON_WRITE_VALUE - Static variable in enum org.tensorflow.proto.framework.VariableSynchronization: `ON_WRITE`: Indicates that the variable will be updated across devices every time it is written.
VariableAggregation - Enum in org.tensorflow.proto.framework: Indicates how a distributed variable will be aggregated.
VariableDef - Class in org.tensorflow.proto.framework: Protocol buffer representing a Variable.
VariableDef.Builder - Class in org.tensorflow.proto.framework: Protocol buffer representing a Variable.
VariableDefOrBuilder - Interface in org.tensorflow.proto.framework
VariableProtos - Class in org.tensorflow.proto.framework
VariableShape<T extends TNumber> - Class in org.tensorflow.op.core: Returns the shape of the variable pointed to by resource.
VariableShape(Operation) - Constructor for class org.tensorflow.op.core.VariableShape
variableShape(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Returns the shape of the variable pointed to by resource.
variableShape(Operand<? extends TType>, Class<T>) - Method in class org.tensorflow.op.Ops: Returns the shape of the variable pointed to by resource.
VariableShape.Inputs - Class in org.tensorflow.op.core
VariableSynchronization - Enum in org.tensorflow.proto.framework: Indicates when a distributed variable will be synced.
variance - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: A 1D Tensor for population variance.
varianceEpsilon - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization.Inputs: A small float number to avoid dividing by 0.
varianceEpsilon - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad.Inputs: A small float number to avoid dividing by 0.
varianceEpsilon - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: A small float number to avoid dividing by 0.
varianceEpsilon - Variable in class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs: A small float number to avoid dividing by 0.
varianceEpsilon(Float) - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm.Options: Sets the varianceEpsilon option.
varianceEpsilon(Float) - Static method in class org.tensorflow.op.nn.QuantizedInstanceNorm: Sets the varianceEpsilon option.
VARIANT_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorProto
VariantTensorDataProto - Class in org.tensorflow.proto.framework: Protocol buffer representing the serialization format of DT_VARIANT tensors.
VariantTensorDataProto.Builder - Class in org.tensorflow.proto.framework: Protocol buffer representing the serialization format of DT_VARIANT tensors.
VariantTensorDataProtoOrBuilder - Interface in org.tensorflow.proto.framework
VarIsInitializedOp - Class in org.tensorflow.op.core: Checks whether a resource handle-based variable has been initialized.
VarIsInitializedOp(Operation) - Constructor for class org.tensorflow.op.core.VarIsInitializedOp
varIsInitializedOp(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Checks whether a resource handle-based variable has been initialized.
VarIsInitializedOp.Inputs - Class in org.tensorflow.op.core
VarLenFeatureProto - Class in org.tensorflow.proto.example: Protobuf type tensorflow.VarLenFeatureProto
VarLenFeatureProto.Builder - Class in org.tensorflow.proto.example: Protobuf type tensorflow.VarLenFeatureProto
VarLenFeatureProtoOrBuilder - Interface in org.tensorflow.proto.example
varName - Variable in class org.tensorflow.op.core.DestroyTemporaryVariable.Inputs: Name of the temporary variable, usually the name of the matching 'TemporaryVariable' op.
varName - Variable in class org.tensorflow.op.core.TemporaryVariable.Inputs: Overrides the name used for the temporary variable resource.
varName(String) - Method in class org.tensorflow.op.core.TemporaryVariable.Options: Sets the varName option.
varName(String) - Static method in class org.tensorflow.op.core.TemporaryVariable: Sets the varName option.
vars - Variable in class org.tensorflow.op.tpu.TPUReshardVariables.Inputs: The vars input
vectorOf(Scope, int[]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-1 constant of int elements.
vectorOf(Scope, float[]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-1 constant of float elements.
vectorOf(Scope, double[]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-1 constant of double elements.
vectorOf(Scope, long[]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-1 constant of long elements.
vectorOf(Scope, boolean[]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-1 constant of boolean elements.
vectorOf(Scope, byte[]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-1 constant of byte elements.
vectorOf(Scope, String[]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-1 constant of String elements.
vectorOf(Scope, Charset, String[]) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of String elements, using the given charset.
vectorOf(float...) - Static method in interface org.tensorflow.types.TBfloat16: Allocates a new tensor for storing a vector of floats.
vectorOf(boolean...) - Static method in interface org.tensorflow.types.TBool: Allocates a new tensor for storing a vector of booleans.
vectorOf(float...) - Static method in interface org.tensorflow.types.TFloat16: Allocates a new tensor for storing a vector of floats.
vectorOf(float...) - Static method in interface org.tensorflow.types.TFloat32: Allocates a new tensor for storing a vector of floats.
vectorOf(double...) - Static method in interface org.tensorflow.types.TFloat64: Allocates a new tensor for storing a vector of doubles.
vectorOf(int...) - Static method in interface org.tensorflow.types.TInt32: Allocates a new tensor for storing a vector of ints.
vectorOf(long...) - Static method in interface org.tensorflow.types.TInt64: Allocates a new tensor for storing a vector of longs.
vectorOf(String...) - Static method in interface org.tensorflow.types.TString: Allocates a new tensor for storing a vector of strings.
vectorOf(byte...) - Static method in interface org.tensorflow.types.TUint8: Allocates a new tensor for storing a vector of bytes.
velocities - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Inputs: Value of velocities used in the ADAM optimization algorithm.
velocities() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters: Gets velocities.
VENDOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DeviceProperties
VERIFICATION_TIMEOUT_IN_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.VerifierConfig
VerifierConfig - Class in org.tensorflow.proto.framework: The config for graph verifiers.
VerifierConfig.Builder - Class in org.tensorflow.proto.framework: The config for graph verifiers.
VerifierConfig.Toggle - Enum in org.tensorflow.proto.framework: Protobuf enum tensorflow.VerifierConfig.Toggle
VerifierConfigOrBuilder - Interface in org.tensorflow.proto.framework
VerifierConfigProtos - Class in org.tensorflow.proto.framework
version - Variable in class org.tensorflow.op.data.SnapshotDatasetReader.Inputs: The version attribute
version() - Static method in class org.tensorflow.TensorFlow: Returns the version of the underlying TensorFlow runtime.
VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphDef
VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.OpDeprecation
VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SavedUserObject
VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.SessionMetadata
VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.ProfileOptions
VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.BundleHeaderProto
VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.SaverDef
VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.PlatformInfo
VERSION_NUMBER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.TensorProto
VersionDef - Class in org.tensorflow.proto.framework: Version information for a piece of serialized data There are different types of versions for each type of data (GraphDef, etc.), but they all have the same common shape described here.
VersionDef.Builder - Class in org.tensorflow.proto.framework: Version information for a piece of serialized data There are different types of versions for each type of data (GraphDef, etc.), but they all have the same common shape described here.
VersionDefOrBuilder - Interface in org.tensorflow.proto.framework
VERSIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GraphDef
VERSIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.SavedTensorSliceMeta
VersionsProtos - Class in org.tensorflow.proto.framework
vhat - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Should be from a Variable().
view() - Method in class org.tensorflow.internal.c_api.TF_TString_Union
view(TF_TString_View) - Method in class org.tensorflow.internal.c_api.TF_TString_Union
VIRTUAL_DEVICES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GPUOptions.Experimental
VISIBILITY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ApiDef
VISIBLE_DEVICE_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.GPUOptions
VISIBLE_VALUE - Static variable in enum org.tensorflow.proto.framework.ApiDef.Visibility: Publicly visible in the API.
vMax - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the highest quantized variance.
vMin - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the lowest quantized variance.
vocabCount - Variable in class org.tensorflow.op.train.NegTrain.Inputs: Count of words in the vocabulary.
vocabFile - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: Each valid line in this file (which should have a CSV-like format) corresponds to a valid word ID.
vocabFile(String) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options: Sets the vocabFile option.
vocabFile(String) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Sets the vocabFile option.
vocabFreq() - Method in class org.tensorflow.op.core.Skipgram: Gets vocabFreq.
vocabSize - Variable in class org.tensorflow.op.core.InitializeTableFromTextFile.Inputs: Number of elements of the file, use -1 if unknown.
vocabSize(Long) - Method in class org.tensorflow.op.core.InitializeTableFromTextFile.Options: Sets the vocabSize option.
vocabSize(Long) - Static method in class org.tensorflow.op.core.InitializeTableFromTextFile: Sets the vocabSize option.
vocabWord() - Method in class org.tensorflow.op.core.Skipgram: Gets vocabWord.

W

w - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: The weight matrix.
w - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The weight matrix.
w - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: The weight matrix.
w - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The weight matrix.
w() - Method in class org.tensorflow.op.xla.SelfAdjointEig: Gets w.
WAIT_FOR_COORDINATOR_VALUE - Static variable in enum org.tensorflow.proto.util.WorkerShutdownMode: WAIT_FOR_COORDINATOR = 2;
waitForIncomplete - Variable in class org.tensorflow.op.core.BarrierTakeMany.Inputs: The waitForIncomplete attribute
waitForIncomplete(Boolean) - Method in class org.tensorflow.op.core.BarrierTakeMany.Options: Sets the waitForIncomplete option.
waitForIncomplete(Boolean) - Static method in class org.tensorflow.op.core.BarrierTakeMany: Sets the waitForIncomplete option.
WALL_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.DebugEvent
WALL_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.Event
WALL_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.testlog.BenchmarkEntry
WARN_VALUE - Static variable in enum org.tensorflow.proto.util.LogMessage.Level: Deprecated.

WARN = 30;
WARNINGS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.XSpace
WATCHDOG_CONFIG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.WorkerHeartbeatRequest
WatchdogConfig - Class in org.tensorflow.proto.util: Protobuf type tensorflow.WatchdogConfig
WatchdogConfig.Builder - Class in org.tensorflow.proto.util: Protobuf type tensorflow.WatchdogConfig
WatchdogConfigOrBuilder - Interface in org.tensorflow.proto.util
wC - Variable in class org.tensorflow.op.nn.GRUBlockCell.Inputs: The wC input
wC - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The wC input
wcf - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: The weight matrix for forget gate peephole connection.
wcf - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The weight matrix for forget gate peephole connection.
wcf - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: The weight matrix for forget gate peephole connection.
wcf - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The weight matrix for forget gate peephole connection.
wcfGrad() - Method in class org.tensorflow.op.nn.BlockLSTMGrad: Gets wcfGrad.
wcfGrad() - Method in class org.tensorflow.op.nn.LSTMBlockCellGrad: Gets wcfGrad.
wci - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: The weight matrix for input gate peephole connection.
wci - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The weight matrix for input gate peephole connection.
wci - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: The weight matrix for input gate peephole connection.
wci - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The weight matrix for input gate peephole connection.
wciGrad() - Method in class org.tensorflow.op.nn.BlockLSTMGrad: Gets wciGrad.
wciGrad() - Method in class org.tensorflow.op.nn.LSTMBlockCellGrad: Gets wciGrad.
wco - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: The weight matrix for output gate peephole connection.
wco - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The weight matrix for output gate peephole connection.
wco - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: The weight matrix for output gate peephole connection.
wco - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The weight matrix for output gate peephole connection.
wcoGrad() - Method in class org.tensorflow.op.nn.BlockLSTMGrad: Gets wcoGrad.
wcoGrad() - Method in class org.tensorflow.op.nn.LSTMBlockCellGrad: Gets wcoGrad.
WeakPointerScope - Class in org.tensorflow.internal: A minimalist pointer scope only keeping weak references to its elements.
WeakPointerScope() - Constructor for class org.tensorflow.internal.WeakPointerScope
weights - Variable in class org.tensorflow.op.math.Bincount.Inputs: is an int32, int64, float32, or float64 Tensor with the same shape as arr, or a length-0 Tensor, in which case it acts as all weights equal to 1.
weights - Variable in class org.tensorflow.op.math.DenseBincount.Inputs: is an int32, int64, float32, or float64 Tensor with the same shape as arr, or a length-0 Tensor, in which case it acts as all weights equal to 1.
weights() - Method in class org.tensorflow.op.nn.ComputeAccidentalHits: Gets weights.
weights - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The weights input
weights() - Method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Gets weights.
weights - Variable in class org.tensorflow.op.ragged.RaggedBincount.Inputs: is an int32, int64, float32, or float64 Tensor with the same shape as input, or a length-0 Tensor, in which case it acts as all weights equal to 1.
weights - Variable in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Inputs: A Tensor of the same shape as indices containing per-index weight values.
weights - Variable in class org.tensorflow.op.sparse.DenseCountSparseOutput.Inputs: A Tensor of the same shape as indices containing per-index weight values.
weights - Variable in class org.tensorflow.op.sparse.SparseBincount.Inputs: is an int32, int64, float32, or float64 Tensor with the same shape as input, or a length-0 Tensor, in which case it acts as all weights equal to 1.
weights - Variable in class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs: A Tensor of the same shape as indices containing per-index weight values.
weights - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs: Value of weights used in the MDL Adagrad Light optimization algorithm.
weights() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters: Gets weights.
weights - Variable in class org.tensorflow.op.train.SdcaShrinkL1.Inputs: a list of vectors where each value is the weight associated with a feature group.
wGrad() - Method in class org.tensorflow.op.nn.BlockLSTMGrad: Gets wGrad.
Where - Class in org.tensorflow.op.core: Returns locations of nonzero / true values in a tensor.
Where(Operation) - Constructor for class org.tensorflow.op.core.Where
where(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Returns locations of nonzero / true values in a tensor.
Where.Inputs - Class in org.tensorflow.op.core
While - Interface in org.tensorflow.op.core: output = input; While (Cond(output)) { output = Body(output) }
While - Class in org.tensorflow.op.xla: output = input; While (Cond(output)) { output = Body(output) }
While(Operation) - Constructor for class org.tensorflow.op.xla.While
While.Inputs - Class in org.tensorflow.op.xla
While.Options - Class in org.tensorflow.op.core: Optional attributes for While
WHILE_CTXT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ControlFlowContextDef
WhileContextDef - Class in org.tensorflow.proto.framework: Protocol buffer representing a WhileContext object.
WhileContextDef.Builder - Class in org.tensorflow.proto.framework: Protocol buffer representing a WhileContext object.
WhileContextDefOrBuilder - Interface in org.tensorflow.proto.framework
whileLoop(Output<?>[], Graph.WhileSubgraphBuilder, Graph.WhileSubgraphBuilder, String) - Method in class org.tensorflow.Graph: Builds a while loop.
whileOp(Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, While.Options...) - Method in class org.tensorflow.op.Ops: output = input; While (Cond(output)) { output = Body(output) }
whileOp(Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction) - Method in class org.tensorflow.op.XlaOps: output = input; While (Cond(output)) { output = Body(output) }
WholeFileReader - Class in org.tensorflow.op.io: A Reader that outputs the entire contents of a file as a value.
WholeFileReader(Operation) - Constructor for class org.tensorflow.op.io.WholeFileReader
wholeFileReader(WholeFileReader.Options...) - Method in class org.tensorflow.op.IoOps: A Reader that outputs the entire contents of a file as a value.
WholeFileReader.Inputs - Class in org.tensorflow.op.io
WholeFileReader.Options - Class in org.tensorflow.op.io: Optional attributes for WholeFileReader
width - Variable in class org.tensorflow.op.dtypes.AsString.Inputs: Pad pre-decimal numbers to this width.
width(Long) - Method in class org.tensorflow.op.dtypes.AsString.Options: Sets the width option.
width(Long) - Static method in class org.tensorflow.op.dtypes.AsString: Sets the width option.
WIDTH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.Summary.Image
wIn - Variable in class org.tensorflow.op.train.NegTrain.Inputs: input word embedding.
WindowDataset - Class in org.tensorflow.op.data: Combines (nests of) input elements into a dataset of (nests of) windows.
WindowDataset(Operation) - Constructor for class org.tensorflow.op.data.WindowDataset
windowDataset(Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<TBool>, List<Class<? extends TType>>, List<Shape>, WindowDataset.Options...) - Method in class org.tensorflow.op.DataOps: Combines (nests of) input elements into a dataset of (nests of) windows.
WindowDataset.Inputs - Class in org.tensorflow.op.data
WindowDataset.Options - Class in org.tensorflow.op.data: Optional attributes for WindowDataset
windowDilations - Variable in class org.tensorflow.op.xla.ReduceWindow.Inputs: The windowDilations input
windowDimensions - Variable in class org.tensorflow.op.xla.ReduceWindow.Inputs: the shape of the window
windowDimensions - Variable in class org.tensorflow.op.xla.SelectAndScatter.Inputs: the shape of the window
WindowOp - Class in org.tensorflow.op.data: The WindowOp operation
WindowOp(Operation) - Constructor for class org.tensorflow.op.data.WindowOp
WindowOp.Inputs - Class in org.tensorflow.op.data
windowShift - Variable in class org.tensorflow.op.data.experimental.SlidingWindowDataset.Inputs: A scalar representing the steps moving the sliding window forward in one iteration.
windowShift - Variable in class org.tensorflow.op.data.SlidingWindowDataset.Inputs: A scalar representing the steps moving the sliding window forward in one iteration.
windowSize - Variable in class org.tensorflow.op.audio.AudioSpectrogram.Inputs: How wide the input window is in samples.
windowSize - Variable in class org.tensorflow.op.core.Skipgram.Inputs: The number of words to predict to the left and right of the target.
windowSize(Long) - Method in class org.tensorflow.op.core.Skipgram.Options: Sets the windowSize option.
windowSize(Long) - Static method in class org.tensorflow.op.core.Skipgram: Sets the windowSize option.
windowSize - Variable in class org.tensorflow.op.data.experimental.SlidingWindowDataset.Inputs: A scalar representing the number of elements in the sliding window.
windowSize - Variable in class org.tensorflow.op.data.SlidingWindowDataset.Inputs: A scalar representing the number of elements in the sliding window.
windowSizeFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs: The windowSizeFuncOtherArguments input
windowSizeFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The windowSizeFuncOtherArguments input
windowStride - Variable in class org.tensorflow.op.data.experimental.SlidingWindowDataset.Inputs: A scalar representing the stride of the input elements of the sliding window.
windowStride - Variable in class org.tensorflow.op.data.SlidingWindowDataset.Inputs: A scalar representing the stride of the input elements of the sliding window.
windowStrides - Variable in class org.tensorflow.op.xla.Conv.Inputs: the inter-window strides
windowStrides - Variable in class org.tensorflow.op.xla.ReduceWindow.Inputs: the inter-window strides
windowStrides - Variable in class org.tensorflow.op.xla.SelectAndScatter.Inputs: the inter-window strides
withConfigProto(ConfigProto) - Method in class org.tensorflow.SavedModelBundle.Loader: Set configuration of the Session object created when loading the model.
WithControlDependencies(NativeOperation) - Method in class org.tensorflow.internal.c_api.TF_Scope: Return a new scope.
WithControlDependencies(NativeOutput) - Method in class org.tensorflow.internal.c_api.TF_Scope: Same as above, but convenient to add control dependency on the operation producing the control_dep output.
withControlDependencies(Iterable<Op>) - Method in class org.tensorflow.op.GradientScope
withControlDependencies(Iterable<Op>) - Method in class org.tensorflow.op.Ops: Returns an API that adds operations to the graph with the provided control dependencies.
withControlDependencies(Op...) - Method in class org.tensorflow.op.Ops: Returns an API that adds operations to the graph with the provided control dependencies.
withControlDependencies(Iterable<Op>) - Method in interface org.tensorflow.op.Scope: Returns a new scope where added operations will have the provided control dependencies.
withControlDependencyOps(Iterable<Operation>) - Method in class org.tensorflow.op.GradientScope
withControlDependencyOps(Iterable<Operation>) - Method in class org.tensorflow.op.Ops: Returns an API that adds operations to the graph with the provided control dependencies.
withControlDependencyOps(Operation...) - Method in class org.tensorflow.op.Ops: Returns an API that adds operations to the graph with the provided control dependencies.
withControlDependencyOps(Iterable<Operation>) - Method in class org.tensorflow.op.OpScope
withControlDependencyOps(Iterable<Operation>) - Method in interface org.tensorflow.op.Scope: Returns a new scope where added operations will have the provided control dependencies.
withDeallocator() - Method in class org.tensorflow.internal.c_api.AbstractTF_Function
withDeallocator() - Method in class org.tensorflow.internal.c_api.AbstractTF_Tensor: Registers a deallocator and returns this.
withDeallocator() - Method in class org.tensorflow.internal.c_api.AbstractTFE_TensorHandle: Registers a deallocator and returns this.
WithDevice(BytePointer) - Method in class org.tensorflow.internal.c_api.TF_Scope: Return a new scope.
WithDevice(String) - Method in class org.tensorflow.internal.c_api.TF_Scope
withDevice(DeviceSpec) - Method in class org.tensorflow.op.GradientScope
withDevice(DeviceSpec) - Method in class org.tensorflow.op.Ops: Returns an API that places the created operations on the device(s) matching the provided spec.
withDevice(DeviceSpec) - Method in class org.tensorflow.op.OpScope
withDevice(DeviceSpec) - Method in interface org.tensorflow.op.Scope: Return a new scope that uses the provided device specification for an op.
withFunction(SessionFunction) - Method in class org.tensorflow.SavedModelBundle.Exporter: Save a function of this model.
withFunctions(SessionFunction...) - Method in class org.tensorflow.SavedModelBundle.Exporter: Save multiple functions.
withInitScope() - Method in class org.tensorflow.op.GradientScope
withInitScope() - Method in class org.tensorflow.op.Ops: Returns an API that builds init operations.
withInitScope() - Method in class org.tensorflow.op.OpScope
withInitScope() - Method in interface org.tensorflow.op.Scope: Get an extension of this scope that generates initialization ops.
withName(String) - Method in class org.tensorflow.op.GradientScope
withName(String) - Method in class org.tensorflow.op.Ops: Returns an API that uses the provided name for an op.
withName(String) - Method in class org.tensorflow.op.OpScope
withName(String) - Method in interface org.tensorflow.op.Scope: Return a new scope that uses the provided name for an op.
withNameAsSubScope(String) - Method in class org.tensorflow.op.GradientScope
withNameAsSubScope(String) - Method in class org.tensorflow.op.OpScope
withNameAsSubScope(String) - Method in interface org.tensorflow.op.Scope: Returns a new scope where added operations will be prefixed by this scope's op name (set by Scope.withName(String)), or the given default if it is unset.
withNewSession(Session) - Method in class org.tensorflow.SessionFunction: Get a new function with the same signature, but backed by a new session.
WithNoControlDependencies() - Method in class org.tensorflow.internal.c_api.TF_Scope: Return a new scope.
withRunOptions(RunOptions) - Method in class org.tensorflow.SavedModelBundle.Loader: Sets options to use when executing model initialization operations.
withSession(Session) - Method in class org.tensorflow.SavedModelBundle.Exporter: Set the session to export, without adding any signatures.
withSignature(Signature) - Method in class org.tensorflow.SavedModelBundle.Exporter: Add a signature to the model.
withSignatures(Signature...) - Method in class org.tensorflow.SavedModelBundle.Exporter: Add multiple signatures to the model.
withSubScope(String) - Method in class org.tensorflow.op.GradientScope
withSubScope(String) - Method in class org.tensorflow.op.Ops: Returns an API that builds operations with the provided name prefix.
withSubScope(String) - Method in class org.tensorflow.op.OpScope
withSubScope(String) - Method in interface org.tensorflow.op.Scope: Returns a new scope where added operations will have the provided name prefix.
withTags(String...) - Method in class org.tensorflow.SavedModelBundle.Exporter: Sets the set of tags that identify the specific graph in the saved model to save.
withTags(String...) - Method in class org.tensorflow.SavedModelBundle.Loader: Sets the set of tags that identify the specific graph in the saved model to load.
wordsPerEpoch() - Method in class org.tensorflow.op.core.Skipgram: Gets wordsPerEpoch.
WORK_DIR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
WORK_FINISHED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ReaderBaseState
WORK_STARTED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ReaderBaseState
WORKER_ADDRESS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
WORKER_ADDRESSES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
WORKER_LOG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.util.WorkerHeartbeatResponse
WORKER_TAGS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
WorkerHealth - Enum in org.tensorflow.proto.util: Current health status of a worker.
WorkerHeartbeat - Class in org.tensorflow.op.tpu: Worker heartbeat op.
WorkerHeartbeat(Operation) - Constructor for class org.tensorflow.op.tpu.WorkerHeartbeat
WorkerHeartbeat.Inputs - Class in org.tensorflow.op.tpu
WorkerHeartbeatRequest - Class in org.tensorflow.proto.util: Protobuf type tensorflow.WorkerHeartbeatRequest
WorkerHeartbeatRequest.Builder - Class in org.tensorflow.proto.util: Protobuf type tensorflow.WorkerHeartbeatRequest
WorkerHeartbeatRequestOrBuilder - Interface in org.tensorflow.proto.util
WorkerHeartbeatResponse - Class in org.tensorflow.proto.util: Protobuf type tensorflow.WorkerHeartbeatResponse
WorkerHeartbeatResponse.Builder - Class in org.tensorflow.proto.util: Protobuf type tensorflow.WorkerHeartbeatResponse
WorkerHeartbeatResponseOrBuilder - Interface in org.tensorflow.proto.util
WorkerShutdownMode - Enum in org.tensorflow.proto.util: Indicates the behavior of the worker when an internal error or shutdown signal is received.
wOut - Variable in class org.tensorflow.op.train.NegTrain.Inputs: output word embedding.
WrapDatasetVariant - Class in org.tensorflow.op.data: The WrapDatasetVariant operation
WrapDatasetVariant(Operation) - Constructor for class org.tensorflow.op.data.WrapDatasetVariant
wrapDatasetVariant(Operand<? extends TType>) - Method in class org.tensorflow.op.DataOps: The WrapDatasetVariant operation
WrapDatasetVariant.Inputs - Class in org.tensorflow.op.data
WriteAudioSummary - Class in org.tensorflow.op.summary: Writes an audio summary.
WriteAudioSummary(Operation) - Constructor for class org.tensorflow.op.summary.WriteAudioSummary
WriteAudioSummary.Inputs - Class in org.tensorflow.op.summary
WriteAudioSummary.Options - Class in org.tensorflow.op.summary: Optional attributes for WriteAudioSummary
WriteFile - Class in org.tensorflow.op.io: Writes contents to the file at input filename.
WriteFile(Operation) - Constructor for class org.tensorflow.op.io.WriteFile
writeFile(Operand<TString>, Operand<TString>) - Method in class org.tensorflow.op.IoOps: Writes contents to the file at input filename.
WriteFile.Inputs - Class in org.tensorflow.op.io
WriteGraphSummary - Class in org.tensorflow.op.summary: Writes a graph summary.
WriteGraphSummary(Operation) - Constructor for class org.tensorflow.op.summary.WriteGraphSummary
WriteGraphSummary.Inputs - Class in org.tensorflow.op.summary
WriteHistogramSummary - Class in org.tensorflow.op.summary: Writes a histogram summary.
WriteHistogramSummary(Operation) - Constructor for class org.tensorflow.op.summary.WriteHistogramSummary
WriteHistogramSummary.Inputs - Class in org.tensorflow.op.summary
WriteImageSummary - Class in org.tensorflow.op.summary: Writes an image summary.
WriteImageSummary(Operation) - Constructor for class org.tensorflow.op.summary.WriteImageSummary
WriteImageSummary.Inputs - Class in org.tensorflow.op.summary
WriteImageSummary.Options - Class in org.tensorflow.op.summary: Optional attributes for WriteImageSummary
writer - Variable in class org.tensorflow.op.summary.CloseSummaryWriter.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.CreateSummaryDbWriter.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.CreateSummaryFileWriter.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.FlushSummaryWriter.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.ImportEvent.Inputs: The writer input
writer() - Method in class org.tensorflow.op.summary.SummaryWriter: Gets writer.
writer - Variable in class org.tensorflow.op.summary.WriteAudioSummary.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.WriteGraphSummary.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.WriteHistogramSummary.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.WriteImageSummary.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.WriteRawProtoSummary.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.WriteScalarSummary.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.WriteSummary.Inputs: The writer input
WriteRawProtoSummary - Class in org.tensorflow.op.summary: Writes a serialized proto summary.
WriteRawProtoSummary(Operation) - Constructor for class org.tensorflow.op.summary.WriteRawProtoSummary
WriteRawProtoSummary.Inputs - Class in org.tensorflow.op.summary
writerPrefix - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The writerPrefix attribute
writerPrefix(String) - Method in class org.tensorflow.op.data.SnapshotDataset.Options: Sets the writerPrefix option.
writerPrefix(String) - Static method in class org.tensorflow.op.data.SnapshotDataset: Sets the writerPrefix option.
WriteScalarSummary - Class in org.tensorflow.op.summary: Writes a scalar summary.
WriteScalarSummary(Operation) - Constructor for class org.tensorflow.op.summary.WriteScalarSummary
WriteScalarSummary.Inputs - Class in org.tensorflow.op.summary
WriteSummary - Class in org.tensorflow.op.summary: Writes a tensor summary.
WriteSummary(Operation) - Constructor for class org.tensorflow.op.summary.WriteSummary
WriteSummary.Inputs - Class in org.tensorflow.op.summary
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.AutotuneOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.DistributeOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.experimental.SnapshotMetadataRecord
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.experimental.SnapshotRecord
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.experimental.SnapshotTensorMetadata
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.experimental.TensorMetadata
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.model.ModelProto.Node.Parameter
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.model.ModelProto.Node
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.model.ModelProto.OptimizationParams
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.model.ModelProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.OptimizationOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.Options
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.ThreadingOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.distruntime.ClusterDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.distruntime.ClusterDeviceFilters
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.distruntime.JobDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.distruntime.JobDeviceFilters
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.distruntime.ServerDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.distruntime.TaskDeviceFilters
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.distruntime.TransportOptions.RecvBufRespExtra
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.example.BytesList
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.example.Example
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.example.ExampleParserConfiguration
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.example.Feature
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.example.FeatureConfiguration
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.example.FeatureList
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.example.FeatureLists
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.example.Features
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.example.FixedLenFeatureProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.example.FloatList
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.example.Int64List
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.example.SequenceExample
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.example.VarLenFeatureProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.AllocationDescription
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.AllocationRecord
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.AllocatorMemoryUsed
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.ApiDef.Arg
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.ApiDef.Attr
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.ApiDef.Endpoint
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.ApiDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.ApiDefs
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.AssetFileDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.AttrValue.ListValue
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.AttrValue
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.AutoParallelOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.BoundedTensorSpecProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.CallableOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.CapturedTensor
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.CollectionDef.AnyList
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.CollectionDef.BytesList
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.CollectionDef.FloatList
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.CollectionDef.Int64List
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.CollectionDef.NodeList
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.CollectionDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.CompositeTensorVariant.CompositeTensorVariantMetadata
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.CondContextDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.ConfigProto.Experimental
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.ConfigProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.ControlFlowContextDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.CostGraphDef.AggregatedCost
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.InputInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node.OutputInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.CostGraphDef.Node
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.CostGraphDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.DebuggedSourceFile
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.DebuggedSourceFiles
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.DebugOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.DebugTensorWatch
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.DeviceAttributes
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.DeviceLocality
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.DeviceProperties
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.DeviceStepStats
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.DictValue
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.FullTypeDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.FunctionDef.ArgAttrs
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.FunctionDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.FunctionDefLibrary
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.FunctionSpec
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental.VirtualDevices
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.GPUOptions.Experimental
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.GPUOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.GradientDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.FileLineCol
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.GraphDebugInfo.StackTrace
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.GraphDebugInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.GraphDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.GraphOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.GraphTransferConstNodeInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.GraphTransferGraphInputNodeInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.GraphTransferGraphOutputNodeInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.GraphTransferInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInput
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.GraphTransferNodeInputInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.GraphTransferNodeOutputInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.HistogramProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.InterconnectLink
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.KernelDef.AttrConstraint
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.KernelDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.KernelList
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.ListValue
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.LocalLinks
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.LogNormalDistribution
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.MemoryLogRawAllocation
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.MemoryLogRawDeallocation
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.MemoryLogStep
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.MemoryLogTensorAllocation
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.MemoryLogTensorDeallocation
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.MemoryLogTensorOutput
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.MemoryStats
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.MetaGraphDef.MetaInfoDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.MetaGraphDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.NameAttrList
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.NamedDevice
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.NamedTensorProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.NamedTupleValue
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.NodeDef.ExperimentalDebugInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.NodeDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.NodeExecStats
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.NodeOutput
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.NoneValue
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.NormalDistribution
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.OpDef.ArgDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.OpDef.AttrDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.OpDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.OpDeprecation
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.OpInfo.TensorProperties
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.OpInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.OpList
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.OpPerformance.OpMemory
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.OpPerformance
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.OpPerformanceList
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.OptimizerOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.PairValue
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.QueueRunnerDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.ReaderBaseState
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.RegisteredGradient
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.RemoteTensorHandle
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.ResourceDtypeAndShape
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.ResourceHandleProto.DtypeAndShape
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.ResourceHandleProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.RewriterConfig.CustomGraphOptimizer
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.RewriterConfig
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.RPCOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.RunMetadata.FunctionGraphs
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.RunMetadata
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental.RunHandlerPoolOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.RunOptions.Experimental
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.RunOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.SaveableObject
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.SavedAsset
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.SavedBareConcreteFunction
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.SavedConcreteFunction
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.SavedConstant
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.SavedFunction
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.SavedModel
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.SavedObject
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.SavedObjectGraph
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.SavedResource
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.SavedUserObject
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.SavedVariable
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.SaveSliceInfoDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.ScopedAllocatorOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.SessionInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.SessionMetadata
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.SignatureDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.Status.DerivedStatus
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.StepStats
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.StructuredValue
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.Summary.Audio
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.Summary.Image
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.Summary.Value
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.Summary
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.SummaryDescription
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.SummaryMetadata.PluginData
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.SummaryMetadata
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.TensorConnection
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.TensorDescription
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.TensorInfo.CompositeTensor
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.TensorInfo.CooSparse
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.TensorInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.TensorProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.TensorShapeProto.Dim
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.TensorShapeProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.TensorSliceProto.Extent
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.TensorSliceProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.TensorSpecProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.ThreadPoolOptionProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.ObjectReference
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SerializedTensor
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject.SlotVariableReference
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph.TrackableObject
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.TrackableObjectGraph
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.TupleValue
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.TypeSpecProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.ValuesDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.VariableDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.VariantTensorDataProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.VerifierConfig
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.VersionDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.framework.WhileContextDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.profiler.ProfileOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.profiler.RemoteProfilerSessionManagerOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.profiler.XEvent
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.profiler.XEventMetadata
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.profiler.XLine
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.profiler.XPlane
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.profiler.XSpace
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.profiler.XStat
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.profiler.XStatMetadata
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.BinSummary
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.BundleEntryProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.BundleHeaderProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.CodeLocation
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.DebugEvent
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.DebuggedDevice
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.DebuggedGraph
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.DebugMetadata
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.Event
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.Execution
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.GraphExecutionTrace
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.GraphOpCreation
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.LogMessage: Deprecated.
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.MemAllocatorStats
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.MemChunk
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectory
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.MemmappedFileSystemDirectoryElement
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.MemoryDump
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.RequestedExitCode
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.SavedSlice
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.SavedSliceMeta
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.SavedTensorSliceMeta
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.SavedTensorSlices
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.SaverDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.SessionLog
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.SnapShot
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.SourceFile
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.StackFrameWithId
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.TaggedRunMetadata
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.testlog.AvailableDeviceInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntries
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.testlog.BenchmarkEntry
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.testlog.BuildConfiguration
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.testlog.CommitId
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.testlog.CPUInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.testlog.EntryValue
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.testlog.GPUInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.testlog.MachineConfiguration
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.testlog.MemoryInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.testlog.MetricEntry
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.testlog.PlatformInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.testlog.RunConfiguration
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.testlog.TestResults
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.WatchdogConfig
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.WorkerHeartbeatRequest
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.util.WorkerHeartbeatResponse
wRu - Variable in class org.tensorflow.op.nn.GRUBlockCell.Inputs: The wRu input
wRu - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The wRu input

X

x - Variable in class org.tensorflow.op.bitwise.BitwiseAnd.Inputs: The x input
x - Variable in class org.tensorflow.op.bitwise.BitwiseOr.Inputs: The x input
x - Variable in class org.tensorflow.op.bitwise.BitwiseXor.Inputs: The x input
x - Variable in class org.tensorflow.op.bitwise.Invert.Inputs: The x input
x - Variable in class org.tensorflow.op.bitwise.LeftShift.Inputs: The x input
x - Variable in class org.tensorflow.op.bitwise.RightShift.Inputs: The x input
x - Variable in class org.tensorflow.op.core.DeepCopy.Inputs: The source tensor of type T.
x - Variable in class org.tensorflow.op.core.InplaceAdd.Inputs: A Tensor of type T.
x - Variable in class org.tensorflow.op.core.InplaceSub.Inputs: A Tensor of type T.
x - Variable in class org.tensorflow.op.core.InplaceUpdate.Inputs: A tensor of type T.
x - Variable in class org.tensorflow.op.core.OnesLike.Inputs: a tensor of type T.
x - Variable in class org.tensorflow.op.core.SetDiff1d.Inputs: 1-D.
x - Variable in class org.tensorflow.op.core.Unique.Inputs: A Tensor.
x - Variable in class org.tensorflow.op.core.UniqueWithCounts.Inputs: A Tensor.
x - Variable in class org.tensorflow.op.core.ZerosLike.Inputs: a tensor of type T.
x - Variable in class org.tensorflow.op.dtypes.Cast.Inputs: The x input
x - Variable in class org.tensorflow.op.linalg.ConjugateTranspose.Inputs: The x input
x - Variable in class org.tensorflow.op.linalg.Transpose.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Abs.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Acos.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Acosh.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Add.Inputs: The x input
x - Variable in class org.tensorflow.op.math.ApproximateEqual.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Asin.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Asinh.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Atan.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Atan2.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Atanh.Inputs: The x input
x - Variable in class org.tensorflow.op.math.BesselI0.Inputs: The x input
x - Variable in class org.tensorflow.op.math.BesselI0e.Inputs: The x input
x - Variable in class org.tensorflow.op.math.BesselI1.Inputs: The x input
x - Variable in class org.tensorflow.op.math.BesselI1e.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Betainc.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Ceil.Inputs: The x input
x - Variable in class org.tensorflow.op.math.ComplexAbs.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Cos.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Cosh.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Cumprod.Inputs: A Tensor.
x - Variable in class org.tensorflow.op.math.Cumsum.Inputs: A Tensor.
x - Variable in class org.tensorflow.op.math.CumulativeLogsumexp.Inputs: A Tensor.
x - Variable in class org.tensorflow.op.math.Digamma.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Div.Inputs: The x input
x - Variable in class org.tensorflow.op.math.DivNoNan.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Equal.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Erf.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Erfc.Inputs: The x input
x - Variable in class org.tensorflow.op.math.erfinv.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Exp.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Expm1.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Floor.Inputs: The x input
x - Variable in class org.tensorflow.op.math.FloorDiv.Inputs: The x input
x - Variable in class org.tensorflow.op.math.FloorMod.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Greater.Inputs: The x input
x - Variable in class org.tensorflow.op.math.GreaterEqual.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Igamma.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Igammac.Inputs: The x input
x - Variable in class org.tensorflow.op.math.IgammaGradA.Inputs: The x input
x - Variable in class org.tensorflow.op.math.InvertPermutation.Inputs: 1-D.
x - Variable in class org.tensorflow.op.math.IsFinite.Inputs: The x input
x - Variable in class org.tensorflow.op.math.IsInf.Inputs: The x input
x - Variable in class org.tensorflow.op.math.IsNan.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Less.Inputs: The x input
x - Variable in class org.tensorflow.op.math.LessEqual.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Lgamma.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Log.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Log1p.Inputs: The x input
x - Variable in class org.tensorflow.op.math.LogicalAnd.Inputs: The x input
x - Variable in class org.tensorflow.op.math.LogicalNot.Inputs: A Tensor of type bool.
x - Variable in class org.tensorflow.op.math.LogicalOr.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Maximum.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Minimum.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Mod.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Mul.Inputs: The x input
x - Variable in class org.tensorflow.op.math.MulNoNan.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Ndtri.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Neg.Inputs: The x input
x - Variable in class org.tensorflow.op.math.NotEqual.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Polygamma.Inputs: The x input
x - Variable in class org.tensorflow.op.math.PopulationCount.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Pow.Inputs: The x input
x - Variable in class org.tensorflow.op.math.QuantizedAdd.Inputs: The x input
x - Variable in class org.tensorflow.op.math.QuantizedMul.Inputs: The x input
x - Variable in class org.tensorflow.op.math.RealDiv.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Reciprocal.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Rint.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Round.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Rsqrt.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Sigmoid.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Sign.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Sin.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Sinh.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.BesselJ0.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.BesselJ1.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.BesselK0.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.BesselK0e.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.BesselK1.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.BesselK1e.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.BesselY0.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.BesselY1.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.Dawsn.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.Expint.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.FresnelCos.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.FresnelSin.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.Spence.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Sqrt.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Square.Inputs: The x input
x - Variable in class org.tensorflow.op.math.SquaredDifference.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Sub.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Tan.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Tanh.Inputs: The x input
x - Variable in class org.tensorflow.op.math.TruncateDiv.Inputs: The x input
x - Variable in class org.tensorflow.op.math.TruncateMod.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Xdivy.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Xlog1py.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Xlogy.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Zeta.Inputs: The x input
x - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: The sequence input to the LSTM, shape (timelen, batch_size, num_inputs).
x - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The sequence input to the LSTM, shape (timelen, batch_size, num_inputs).
x - Variable in class org.tensorflow.op.nn.DataFormatDimMap.Inputs: A Tensor with each element as a dimension index in source data format.
x - Variable in class org.tensorflow.op.nn.DataFormatVecPermute.Inputs: Vector of size 4 or Tensor of shape (4, 2) in source data format.
x - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: A 4D Tensor for input data.
x - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: A 4D Tensor for input data.
x - Variable in class org.tensorflow.op.nn.GRUBlockCell.Inputs: The x input
x - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The x input
x - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: The input to the LSTM cell, shape (batch_size, num_inputs).
x - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The input to the LSTM cell, shape (batch_size, num_inputs).
x - Variable in class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs: A 4D input Tensor.
x - Variable in class org.tensorflow.op.risc.RiscAbs.Inputs: The x input
x - Variable in class org.tensorflow.op.risc.RiscAdd.Inputs: The x input
x - Variable in class org.tensorflow.op.risc.RiscBinaryArithmetic.Inputs: The x input
x - Variable in class org.tensorflow.op.risc.RiscBinaryComparison.Inputs: The x input
x - Variable in class org.tensorflow.op.risc.RiscBitcast.Inputs: The x input
x - Variable in class org.tensorflow.op.risc.RiscCast.Inputs: The x input
x - Variable in class org.tensorflow.op.risc.RiscCeil.Inputs: The x input
x - Variable in class org.tensorflow.op.risc.RiscCos.Inputs: The x input
x - Variable in class org.tensorflow.op.risc.RiscDiv.Inputs: The x input
x - Variable in class org.tensorflow.op.risc.RiscExp.Inputs: The x input
x - Variable in class org.tensorflow.op.risc.RiscFloor.Inputs: The x input
x - Variable in class org.tensorflow.op.risc.RiscIsFinite.Inputs: The x input
x - Variable in class org.tensorflow.op.risc.RiscLog.Inputs: The x input
x - Variable in class org.tensorflow.op.risc.RiscLogicalAnd.Inputs: The x input
x - Variable in class org.tensorflow.op.risc.RiscLogicalNot.Inputs: The x input
x - Variable in class org.tensorflow.op.risc.RiscLogicalOr.Inputs: The x input
x - Variable in class org.tensorflow.op.risc.RiscMax.Inputs: The x input
x - Variable in class org.tensorflow.op.risc.RiscMin.Inputs: The x input
x - Variable in class org.tensorflow.op.risc.RiscMul.Inputs: The x input
x - Variable in class org.tensorflow.op.risc.RiscNeg.Inputs: The x input
x - Variable in class org.tensorflow.op.risc.RiscPow.Inputs: The x input
x - Variable in class org.tensorflow.op.risc.RiscRem.Inputs: The x input
x - Variable in class org.tensorflow.op.risc.RiscSign.Inputs: The x input
x - Variable in class org.tensorflow.op.risc.RiscSub.Inputs: The x input
x - Variable in class org.tensorflow.op.risc.RiscTranspose.Inputs: The x input
x - Variable in class org.tensorflow.op.risc.RiscUnary.Inputs: The x input
x - Variable in class org.tensorflow.op.train.BatchMatMul.Inputs: 2-D or higher with shape [..., r_x, c_x].
x1 - Variable in class org.tensorflow.op.math.NextAfter.Inputs: The x1 input
x2 - Variable in class org.tensorflow.op.math.NextAfter.Inputs: The x2 input
xBackprop() - Method in class org.tensorflow.op.nn.FusedBatchNormGrad: Gets xBackprop.
xDensity - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: Horizontal pixels per density unit.
xDensity(Long) - Method in class org.tensorflow.op.image.EncodeJpeg.Options: Sets the xDensity option.
xDensity(Long) - Static method in class org.tensorflow.op.image.EncodeJpeg: Sets the xDensity option.
Xdivy<T extends TType> - Class in org.tensorflow.op.math: Returns 0 if x == 0, and x / y otherwise, elementwise.
Xdivy(Operation) - Constructor for class org.tensorflow.op.math.Xdivy
xdivy(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns 0 if x == 0, and x / y otherwise, elementwise.
Xdivy.Inputs<T extends TType> - Class in org.tensorflow.op.math
XEvent - Class in org.tensorflow.proto.profiler: An XEvent is a trace event, optionally annotated with XStats.
XEvent.Builder - Class in org.tensorflow.proto.profiler: An XEvent is a trace event, optionally annotated with XStats.
XEvent.DataCase - Enum in org.tensorflow.proto.profiler
XEventMetadata - Class in org.tensorflow.proto.profiler: Metadata for an XEvent, corresponds to an event type and is shared by all XEvents with the same metadata_id.
XEventMetadata.Builder - Class in org.tensorflow.proto.profiler: Metadata for an XEvent, corresponds to an event type and is shared by all XEvents with the same metadata_id.
XEventMetadataOrBuilder - Interface in org.tensorflow.proto.profiler
XEventOrBuilder - Interface in org.tensorflow.proto.profiler
xGrad() - Method in class org.tensorflow.op.nn.BlockLSTMGrad: Gets xGrad.
xla - Variable in class org.tensorflow.op.Ops
XLA_FUSION_AUTOTUNER_THRESH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.ConfigProto.Experimental
XLA_GLOBAL_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.framework.DeviceAttributes
XlaHostCompute - Class in org.tensorflow.op.xla: A pseudo-op to represent host-side computation in an XLA program.
XlaHostCompute(Operation) - Constructor for class org.tensorflow.op.xla.XlaHostCompute
xlaHostCompute(Iterable<Operand<?>>, List<Class<? extends TType>>, List<String>, List<Shape>, ConcreteFunction, String, XlaHostCompute.Options...) - Method in class org.tensorflow.op.XlaOps: A pseudo-op to represent host-side computation in an XLA program.
XlaHostCompute.Inputs - Class in org.tensorflow.op.xla
XlaHostCompute.Options - Class in org.tensorflow.op.xla: Optional attributes for XlaHostCompute
XlaLaunch - Class in org.tensorflow.op.xla: XLA Launch Op.
XlaLaunch(Operation) - Constructor for class org.tensorflow.op.xla.XlaLaunch
xlaLaunch(Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<? extends TType>>, List<Class<? extends TType>>, ConcreteFunction) - Method in class org.tensorflow.op.XlaOps: XLA Launch Op.
XlaLaunch.Inputs - Class in org.tensorflow.op.xla
XlaOps - Class in org.tensorflow.op: An API for building xla operations as Ops
XlaRecvFromHost<T extends TType> - Class in org.tensorflow.op.xla: An op to receive a tensor from the host.
XlaRecvFromHost(Operation) - Constructor for class org.tensorflow.op.xla.XlaRecvFromHost
xlaRecvFromHost(Class<T>, Shape, String) - Method in class org.tensorflow.op.XlaOps: An op to receive a tensor from the host.
XlaRecvFromHost.Inputs - Class in org.tensorflow.op.xla
XlaSendToHost - Class in org.tensorflow.op.xla: An op to send a tensor to the host.
XlaSendToHost(Operation) - Constructor for class org.tensorflow.op.xla.XlaSendToHost
xlaSendToHost(Operand<? extends TType>, String) - Method in class org.tensorflow.op.XlaOps: An op to send a tensor to the host.
XlaSendToHost.Inputs - Class in org.tensorflow.op.xla
XlaSetBound - Class in org.tensorflow.op.xla: Set a bound for the given input value as a hint to Xla compiler,
XlaSetBound(Operation) - Constructor for class org.tensorflow.op.xla.XlaSetBound
xlaSetBound(Operand<TInt32>, Operand<TInt32>) - Method in class org.tensorflow.op.XlaOps: Set a bound for the given input value as a hint to Xla compiler,
XlaSetBound.Inputs - Class in org.tensorflow.op.xla
XlaVariadicReduce - Class in org.tensorflow.op.xla: Wraps the variadic XLA Reduce operator.
XlaVariadicReduce(Operation) - Constructor for class org.tensorflow.op.xla.XlaVariadicReduce
xlaVariadicReduce(Iterable<Operand<?>>, Iterable<Operand<?>>, List<Long>, ConcreteFunction) - Method in class org.tensorflow.op.XlaOps: Wraps the variadic XLA Reduce operator.
XlaVariadicReduce.Inputs - Class in org.tensorflow.op.xla
XlaVariadicSort - Class in org.tensorflow.op.xla: Wraps the XLA Sort operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#sort .
XlaVariadicSort(Operation) - Constructor for class org.tensorflow.op.xla.XlaVariadicSort
xlaVariadicSort(Iterable<Operand<?>>, Operand<TInt32>, ConcreteFunction, Boolean) - Method in class org.tensorflow.op.XlaOps: Wraps the XLA Sort operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#sort .
XlaVariadicSort.Inputs - Class in org.tensorflow.op.xla
XLine - Class in org.tensorflow.proto.profiler: An XLine is a timeline of trace events (XEvents).
XLine.Builder - Class in org.tensorflow.proto.profiler: An XLine is a timeline of trace events (XEvents).
XLineOrBuilder - Interface in org.tensorflow.proto.profiler
Xlog1py<T extends TType> - Class in org.tensorflow.op.math: Returns 0 if x == 0, and x * log1p(y) otherwise, elementwise.
Xlog1py(Operation) - Constructor for class org.tensorflow.op.math.Xlog1py
xlog1py(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns 0 if x == 0, and x * log1p(y) otherwise, elementwise.
Xlog1py.Inputs<T extends TType> - Class in org.tensorflow.op.math
Xlogy<T extends TType> - Class in org.tensorflow.op.math: Returns 0 if x == 0, and x * log(y) otherwise, elementwise.
Xlogy(Operation) - Constructor for class org.tensorflow.op.math.Xlogy
xlogy(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns 0 if x == 0, and x * log(y) otherwise, elementwise.
Xlogy.Inputs<T extends TType> - Class in org.tensorflow.op.math
xMax - Variable in class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs: The value represented by the highest quantized input.
xMin - Variable in class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs: The value represented by the lowest quantized input.
xmpMetadata - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: If not empty, embed this XMP metadata in the image header.
xmpMetadata(String) - Method in class org.tensorflow.op.image.EncodeJpeg.Options: Sets the xmpMetadata option.
xmpMetadata(String) - Static method in class org.tensorflow.op.image.EncodeJpeg: Sets the xmpMetadata option.
XPlane - Class in org.tensorflow.proto.profiler: An XPlane is a container of parallel timelines (XLines), generated by a profiling source or by post-processing one or more XPlanes.
XPlane.Builder - Class in org.tensorflow.proto.profiler: An XPlane is a container of parallel timelines (XLines), generated by a profiling source or by post-processing one or more XPlanes.
XPlaneOrBuilder - Interface in org.tensorflow.proto.profiler
XPlaneProtos - Class in org.tensorflow.proto.profiler
XSpace - Class in org.tensorflow.proto.profiler: A container of parallel XPlanes, generated by one or more profiling sources.
XSpace.Builder - Class in org.tensorflow.proto.profiler: A container of parallel XPlanes, generated by one or more profiling sources.
XSpaceOrBuilder - Interface in org.tensorflow.proto.profiler
XStat - Class in org.tensorflow.proto.profiler: An XStat is a named value associated with an XEvent, e.g., a performance counter value, a metric computed by a formula applied over nested XEvents and XStats.
XStat.Builder - Class in org.tensorflow.proto.profiler: An XStat is a named value associated with an XEvent, e.g., a performance counter value, a metric computed by a formula applied over nested XEvents and XStats.
XStat.ValueCase - Enum in org.tensorflow.proto.profiler
XStatMetadata - Class in org.tensorflow.proto.profiler: Metadata for an XStat, corresponds to a stat type and is shared by all XStats with the same metadata_id.
XStatMetadata.Builder - Class in org.tensorflow.proto.profiler: Metadata for an XStat, corresponds to a stat type and is shared by all XStats with the same metadata_id.
XStatMetadataOrBuilder - Interface in org.tensorflow.proto.profiler
XStatOrBuilder - Interface in org.tensorflow.proto.profiler

Y

y - Variable in class org.tensorflow.op.bitwise.BitwiseAnd.Inputs: The y input
y - Variable in class org.tensorflow.op.bitwise.BitwiseOr.Inputs: The y input
y - Variable in class org.tensorflow.op.bitwise.BitwiseXor.Inputs: The y input
y() - Method in class org.tensorflow.op.bitwise.Invert: Gets y.
y - Variable in class org.tensorflow.op.bitwise.LeftShift.Inputs: The y input
y - Variable in class org.tensorflow.op.bitwise.RightShift.Inputs: The y input
y() - Method in class org.tensorflow.op.core.DeepCopy: Gets y.
y() - Method in class org.tensorflow.op.core.InplaceAdd: Gets y.
y() - Method in class org.tensorflow.op.core.InplaceSub: Gets y.
y() - Method in class org.tensorflow.op.core.InplaceUpdate: Gets y.
y() - Method in class org.tensorflow.op.core.OnesLike: Gets y.
y - Variable in class org.tensorflow.op.core.SetDiff1d.Inputs: 1-D.
y() - Method in class org.tensorflow.op.core.Unique: Gets y.
y() - Method in class org.tensorflow.op.core.UniqueWithCounts: Gets y.
y() - Method in class org.tensorflow.op.core.ZerosLike: Gets y.
y() - Method in class org.tensorflow.op.dtypes.Cast: Gets y.
y() - Method in class org.tensorflow.op.linalg.ConjugateTranspose: Gets y.
y() - Method in class org.tensorflow.op.linalg.Transpose: Gets y.
y() - Method in class org.tensorflow.op.math.Abs: Gets y.
y() - Method in class org.tensorflow.op.math.Acos: Gets y.
y() - Method in class org.tensorflow.op.math.Acosh: Gets y.
y - Variable in class org.tensorflow.op.math.Add.Inputs: The y input
y - Variable in class org.tensorflow.op.math.ApproximateEqual.Inputs: The y input
y() - Method in class org.tensorflow.op.math.Asin: Gets y.
y() - Method in class org.tensorflow.op.math.Asinh: Gets y.
y() - Method in class org.tensorflow.op.math.Atan: Gets y.
y - Variable in class org.tensorflow.op.math.Atan2.Inputs: The y input
y() - Method in class org.tensorflow.op.math.Atanh: Gets y.
y() - Method in class org.tensorflow.op.math.BesselI0: Gets y.
y() - Method in class org.tensorflow.op.math.BesselI0e: Gets y.
y() - Method in class org.tensorflow.op.math.BesselI1: Gets y.
y() - Method in class org.tensorflow.op.math.BesselI1e: Gets y.
y() - Method in class org.tensorflow.op.math.Ceil: Gets y.
y() - Method in class org.tensorflow.op.math.ComplexAbs: Gets y.
y() - Method in class org.tensorflow.op.math.Cos: Gets y.
y() - Method in class org.tensorflow.op.math.Cosh: Gets y.
y() - Method in class org.tensorflow.op.math.Digamma: Gets y.
y - Variable in class org.tensorflow.op.math.Div.Inputs: The y input
y - Variable in class org.tensorflow.op.math.DivNoNan.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Equal.Inputs: The y input
y() - Method in class org.tensorflow.op.math.Erf: Gets y.
y() - Method in class org.tensorflow.op.math.Erfc: Gets y.
y() - Method in class org.tensorflow.op.math.erfinv: Gets y.
y() - Method in class org.tensorflow.op.math.Exp: Gets y.
y() - Method in class org.tensorflow.op.math.Expm1: Gets y.
y() - Method in class org.tensorflow.op.math.Floor: Gets y.
y - Variable in class org.tensorflow.op.math.FloorDiv.Inputs: The y input
y - Variable in class org.tensorflow.op.math.FloorMod.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Greater.Inputs: The y input
y - Variable in class org.tensorflow.op.math.GreaterEqual.Inputs: The y input
y() - Method in class org.tensorflow.op.math.InvertPermutation: Gets y.
y() - Method in class org.tensorflow.op.math.IsFinite: Gets y.
y() - Method in class org.tensorflow.op.math.IsInf: Gets y.
y() - Method in class org.tensorflow.op.math.IsNan: Gets y.
y - Variable in class org.tensorflow.op.math.Less.Inputs: The y input
y - Variable in class org.tensorflow.op.math.LessEqual.Inputs: The y input
y() - Method in class org.tensorflow.op.math.Lgamma: Gets y.
y() - Method in class org.tensorflow.op.math.Log: Gets y.
y() - Method in class org.tensorflow.op.math.Log1p: Gets y.
y - Variable in class org.tensorflow.op.math.LogicalAnd.Inputs: The y input
y() - Method in class org.tensorflow.op.math.LogicalNot: Gets y.
y - Variable in class org.tensorflow.op.math.LogicalOr.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Maximum.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Minimum.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Mod.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Mul.Inputs: The y input
y - Variable in class org.tensorflow.op.math.MulNoNan.Inputs: The y input
y() - Method in class org.tensorflow.op.math.Ndtri: Gets y.
y() - Method in class org.tensorflow.op.math.Neg: Gets y.
y - Variable in class org.tensorflow.op.math.NotEqual.Inputs: The y input
y() - Method in class org.tensorflow.op.math.PopulationCount: Gets y.
y - Variable in class org.tensorflow.op.math.Pow.Inputs: The y input
y - Variable in class org.tensorflow.op.math.QuantizedAdd.Inputs: The y input
y - Variable in class org.tensorflow.op.math.QuantizedMul.Inputs: The y input
y - Variable in class org.tensorflow.op.math.RealDiv.Inputs: The y input
y() - Method in class org.tensorflow.op.math.Reciprocal: Gets y.
y - Variable in class org.tensorflow.op.math.ReciprocalGrad.Inputs: The y input
y() - Method in class org.tensorflow.op.math.Rint: Gets y.
y() - Method in class org.tensorflow.op.math.Round: Gets y.
y() - Method in class org.tensorflow.op.math.Rsqrt: Gets y.
y - Variable in class org.tensorflow.op.math.RsqrtGrad.Inputs: The y input
y() - Method in class org.tensorflow.op.math.Sigmoid: Gets y.
y - Variable in class org.tensorflow.op.math.SigmoidGrad.Inputs: The y input
y() - Method in class org.tensorflow.op.math.Sign: Gets y.
y() - Method in class org.tensorflow.op.math.Sin: Gets y.
y() - Method in class org.tensorflow.op.math.Sinh: Gets y.
y() - Method in class org.tensorflow.op.math.special.BesselJ0: Gets y.
y() - Method in class org.tensorflow.op.math.special.BesselJ1: Gets y.
y() - Method in class org.tensorflow.op.math.special.BesselK0: Gets y.
y() - Method in class org.tensorflow.op.math.special.BesselK0e: Gets y.
y() - Method in class org.tensorflow.op.math.special.BesselK1: Gets y.
y() - Method in class org.tensorflow.op.math.special.BesselK1e: Gets y.
y() - Method in class org.tensorflow.op.math.special.BesselY0: Gets y.
y() - Method in class org.tensorflow.op.math.special.BesselY1: Gets y.
y() - Method in class org.tensorflow.op.math.special.Dawsn: Gets y.
y() - Method in class org.tensorflow.op.math.special.Expint: Gets y.
y() - Method in class org.tensorflow.op.math.special.FresnelCos: Gets y.
y() - Method in class org.tensorflow.op.math.special.FresnelSin: Gets y.
y() - Method in class org.tensorflow.op.math.special.Spence: Gets y.
y() - Method in class org.tensorflow.op.math.Sqrt: Gets y.
y - Variable in class org.tensorflow.op.math.SqrtGrad.Inputs: The y input
y() - Method in class org.tensorflow.op.math.Square: Gets y.
y - Variable in class org.tensorflow.op.math.SquaredDifference.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Sub.Inputs: The y input
y() - Method in class org.tensorflow.op.math.Tan: Gets y.
y() - Method in class org.tensorflow.op.math.Tanh: Gets y.
y - Variable in class org.tensorflow.op.math.TanhGrad.Inputs: The y input
y - Variable in class org.tensorflow.op.math.TruncateDiv.Inputs: The y input
y - Variable in class org.tensorflow.op.math.TruncateMod.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Xdivy.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Xlog1py.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Xlogy.Inputs: The y input
y() - Method in class org.tensorflow.op.nn.DataFormatDimMap: Gets y.
y() - Method in class org.tensorflow.op.nn.DataFormatVecPermute: Gets y.
y() - Method in class org.tensorflow.op.nn.FusedBatchNorm: Gets y.
y - Variable in class org.tensorflow.op.nn.InvGrad.Inputs: The y input
y() - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm: Gets y.
y() - Method in class org.tensorflow.op.risc.RiscAbs: Gets y.
y - Variable in class org.tensorflow.op.risc.RiscAdd.Inputs: The y input
y - Variable in class org.tensorflow.op.risc.RiscBinaryArithmetic.Inputs: The y input
y - Variable in class org.tensorflow.op.risc.RiscBinaryComparison.Inputs: The y input
y() - Method in class org.tensorflow.op.risc.RiscBitcast: Gets y.
y() - Method in class org.tensorflow.op.risc.RiscCast: Gets y.
y() - Method in class org.tensorflow.op.risc.RiscCeil: Gets y.
y() - Method in class org.tensorflow.op.risc.RiscCos: Gets y.
y - Variable in class org.tensorflow.op.risc.RiscDiv.Inputs: The y input
y() - Method in class org.tensorflow.op.risc.RiscExp: Gets y.
y() - Method in class org.tensorflow.op.risc.RiscFloor: Gets y.
y() - Method in class org.tensorflow.op.risc.RiscIsFinite: Gets y.
y() - Method in class org.tensorflow.op.risc.RiscLog: Gets y.
y - Variable in class org.tensorflow.op.risc.RiscLogicalAnd.Inputs: The y input
y - Variable in class org.tensorflow.op.risc.RiscLogicalOr.Inputs: The y input
y - Variable in class org.tensorflow.op.risc.RiscMax.Inputs: The y input
y - Variable in class org.tensorflow.op.risc.RiscMin.Inputs: The y input
y - Variable in class org.tensorflow.op.risc.RiscMul.Inputs: The y input
y() - Method in class org.tensorflow.op.risc.RiscNeg: Gets y.
y - Variable in class org.tensorflow.op.risc.RiscPow.Inputs: The y input
y - Variable in class org.tensorflow.op.risc.RiscRem.Inputs: The y input
y() - Method in class org.tensorflow.op.risc.RiscSign: Gets y.
y - Variable in class org.tensorflow.op.risc.RiscSub.Inputs: The y input
y() - Method in class org.tensorflow.op.risc.RiscTranspose: Gets y.
y() - Method in class org.tensorflow.op.risc.RiscUnary: Gets y.
y - Variable in class org.tensorflow.op.train.BatchMatMul.Inputs: 2-D or higher with shape [..., r_y, c_y].
yBackprop - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: A 4D Tensor for the gradient with respect to y.
yDensity - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: Vertical pixels per density unit.
yDensity(Long) - Method in class org.tensorflow.op.image.EncodeJpeg.Options: Sets the yDensity option.
yDensity(Long) - Static method in class org.tensorflow.op.image.EncodeJpeg: Sets the yDensity option.
yMax() - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm: Gets yMax.
yMin() - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm: Gets yMin.

Z

z() - Method in class org.tensorflow.op.bitwise.BitwiseAnd: Gets z.
z() - Method in class org.tensorflow.op.bitwise.BitwiseOr: Gets z.
z() - Method in class org.tensorflow.op.bitwise.BitwiseXor: Gets z.
z() - Method in class org.tensorflow.op.bitwise.LeftShift: Gets z.
z() - Method in class org.tensorflow.op.bitwise.RightShift: Gets z.
z() - Method in class org.tensorflow.op.math.Add: Gets z.
z() - Method in class org.tensorflow.op.math.ApproximateEqual: Gets z.
z() - Method in class org.tensorflow.op.math.Atan2: Gets z.
z() - Method in class org.tensorflow.op.math.Betainc: Gets z.
z() - Method in class org.tensorflow.op.math.Div: Gets z.
z() - Method in class org.tensorflow.op.math.DivNoNan: Gets z.
z() - Method in class org.tensorflow.op.math.Equal: Gets z.
z() - Method in class org.tensorflow.op.math.FloorDiv: Gets z.
z() - Method in class org.tensorflow.op.math.FloorMod: Gets z.
z() - Method in class org.tensorflow.op.math.Greater: Gets z.
z() - Method in class org.tensorflow.op.math.GreaterEqual: Gets z.
z() - Method in class org.tensorflow.op.math.Igamma: Gets z.
z() - Method in class org.tensorflow.op.math.Igammac: Gets z.
z() - Method in class org.tensorflow.op.math.IgammaGradA: Gets z.
z() - Method in class org.tensorflow.op.math.Less: Gets z.
z() - Method in class org.tensorflow.op.math.LessEqual: Gets z.
z() - Method in class org.tensorflow.op.math.LogicalAnd: Gets z.
z() - Method in class org.tensorflow.op.math.LogicalOr: Gets z.
z() - Method in class org.tensorflow.op.math.Maximum: Gets z.
z() - Method in class org.tensorflow.op.math.Minimum: Gets z.
z() - Method in class org.tensorflow.op.math.Mod: Gets z.
z() - Method in class org.tensorflow.op.math.Mul: Gets z.
z() - Method in class org.tensorflow.op.math.MulNoNan: Gets z.
z() - Method in class org.tensorflow.op.math.NotEqual: Gets z.
z() - Method in class org.tensorflow.op.math.Polygamma: Gets z.
z() - Method in class org.tensorflow.op.math.Pow: Gets z.
z() - Method in class org.tensorflow.op.math.QuantizedAdd: Gets z.
z() - Method in class org.tensorflow.op.math.QuantizedMul: Gets z.
z() - Method in class org.tensorflow.op.math.RealDiv: Gets z.
z() - Method in class org.tensorflow.op.math.ReciprocalGrad: Gets z.
z() - Method in class org.tensorflow.op.math.RsqrtGrad: Gets z.
z() - Method in class org.tensorflow.op.math.SigmoidGrad: Gets z.
z() - Method in class org.tensorflow.op.math.SqrtGrad: Gets z.
z() - Method in class org.tensorflow.op.math.SquaredDifference: Gets z.
z() - Method in class org.tensorflow.op.math.Sub: Gets z.
z() - Method in class org.tensorflow.op.math.TanhGrad: Gets z.
z() - Method in class org.tensorflow.op.math.TruncateDiv: Gets z.
z() - Method in class org.tensorflow.op.math.TruncateMod: Gets z.
z() - Method in class org.tensorflow.op.math.Xdivy: Gets z.
z() - Method in class org.tensorflow.op.math.Xlog1py: Gets z.
z() - Method in class org.tensorflow.op.math.Xlogy: Gets z.
z() - Method in class org.tensorflow.op.math.Zeta: Gets z.
z() - Method in class org.tensorflow.op.nn.InvGrad: Gets z.
z() - Method in class org.tensorflow.op.risc.RiscAdd: Gets z.
z() - Method in class org.tensorflow.op.risc.RiscBinaryArithmetic: Gets z.
z() - Method in class org.tensorflow.op.risc.RiscBinaryComparison: Gets z.
z() - Method in class org.tensorflow.op.risc.RiscDiv: Gets z.
z() - Method in class org.tensorflow.op.risc.RiscLogicalAnd: Gets z.
z() - Method in class org.tensorflow.op.risc.RiscLogicalNot: Gets z.
z() - Method in class org.tensorflow.op.risc.RiscLogicalOr: Gets z.
z() - Method in class org.tensorflow.op.risc.RiscMin: Gets z.
z() - Method in class org.tensorflow.op.risc.RiscMul: Gets z.
z() - Method in class org.tensorflow.op.risc.RiscPow: Gets z.
z() - Method in class org.tensorflow.op.risc.RiscRem: Gets z.
z() - Method in class org.tensorflow.op.risc.RiscSub: Gets z.
Zeros<T extends TType> - Class in org.tensorflow.op.core: An operator creating a constant initialized with zeros of the shape given by `dims`.
zeros(Operand<? extends TNumber>, Class<T>) - Method in class org.tensorflow.op.Ops: Creates a zeroed tensor given its type and shape.
ZerosLike<T extends TType> - Class in org.tensorflow.op.core: Returns a tensor of zeros with the same shape and type as x.
ZerosLike(Operation) - Constructor for class org.tensorflow.op.core.ZerosLike
zerosLike(Operand<T>) - Method in class org.tensorflow.op.Ops: Returns a tensor of zeros with the same shape and type as x.
ZerosLike.Inputs<T extends TType> - Class in org.tensorflow.op.core
Zeta<T extends TNumber> - Class in org.tensorflow.op.math: Compute the Hurwitz zeta function \(\zeta(x, q)\).
Zeta(Operation) - Constructor for class org.tensorflow.op.math.Zeta
zeta(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Compute the Hurwitz zeta function \(\zeta(x, q)\).
Zeta.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
ZipDataset - Class in org.tensorflow.op.data: Creates a dataset that zips together input_datasets.
ZipDataset(Operation) - Constructor for class org.tensorflow.op.data.ZipDataset
zipDataset(Iterable<Operand<? extends TType>>, List<Class<? extends TType>>, List<Shape>, ZipDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that zips together input_datasets.
ZipDataset.Inputs - Class in org.tensorflow.op.data
ZipDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ZipDataset

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z