Uses of Interface
org.tensorflow.types.family.TType

Packages that use TType

Package	Description
org.tensorflow	Defines classes to build, save, load and execute TensorFlow models.
org.tensorflow.internal.types.registry
org.tensorflow.op
org.tensorflow.op.collective
org.tensorflow.op.core
org.tensorflow.op.data
org.tensorflow.op.data.experimental
org.tensorflow.op.debugging
org.tensorflow.op.dtypes
org.tensorflow.op.estimator
org.tensorflow.op.image
org.tensorflow.op.io
org.tensorflow.op.linalg
org.tensorflow.op.linalg.sparse
org.tensorflow.op.math
org.tensorflow.op.nn
org.tensorflow.op.quantization
org.tensorflow.op.ragged
org.tensorflow.op.random
org.tensorflow.op.risc
org.tensorflow.op.signal
org.tensorflow.op.sparse
org.tensorflow.op.summary
org.tensorflow.op.tpu
org.tensorflow.op.train
org.tensorflow.op.xla
org.tensorflow.types	Defines classes that represent TensorFlow tensor types.
org.tensorflow.types.family	Interfaces used to group tensor types in families that define a particular domain of data.

Uses of TType in org.tensorflow

Classes in org.tensorflow with type parameters of type TType

Modifier and Type	Interface and Description
interface	Operand<T extends TType> Interface implemented by operands of a TensorFlow operation.
class	Output<T extends TType> A symbolic handle to a tensor produced by an Operation.
class	TensorMapper<T extends TType> Maps the native memory of a RawTensor to a n-dimensional typed data space accessible from the JVM.

Methods in org.tensorflow with type parameters of type TType

Modifier and Type	Method and Description
<U extends TType> Output<U>	Output.expect(Class<U> type) Returns this Output object with the type Output<U>.
static <T extends TType> T	Tensor.of(Class<T> type, org.tensorflow.ndarray.Shape shape) Allocates a tensor of a given datatype and shape.
static <T extends TType> T	Tensor.of(Class<T> type, org.tensorflow.ndarray.Shape shape, org.tensorflow.ndarray.buffer.ByteDataBuffer rawData) Creates a Tensor of any type from the raw data provided by the given buffer.
static <T extends TType> T	Tensor.of(Class<T> type, org.tensorflow.ndarray.Shape shape, Consumer<T> dataInitializer) Allocates and initialize a tensor of a given datatype and shape.
static <T extends TType> T	Tensor.of(Class<T> type, org.tensorflow.ndarray.Shape shape, long size) Allocates a tensor of a given datatype, shape and size.
static <T extends TType> T	Tensor.of(Class<T> type, org.tensorflow.ndarray.Shape shape, long size, Consumer<T> dataInitializer) Allocates a tensor of a given datatype, shape and size.
<T extends TType> Output<T>	Operation.output(int idx) Returns a symbolic handle to one of the tensors produced by this operation.

Uses of TType in org.tensorflow.internal.types.registry

Classes in org.tensorflow.internal.types.registry with type parameters of type TType

Modifier and Type	Class and Description
class	TensorTypeInfo<T extends TType> Registered information about a tensor type.

Methods in org.tensorflow.internal.types.registry with type parameters of type TType

Modifier and Type	Method and Description
static <T extends TType> TensorTypeInfo<T>	TensorTypeRegistry.find(Class<T> type) Find registered information about a tensor type from its class
static <T extends TType> TensorTypeInfo<T>	TensorTypeRegistry.find(DataType dataType) Find registered information about a tensor type from its equivalent data type

Uses of TType in org.tensorflow.op

Methods in org.tensorflow.op with type parameters of type TType

Modifier and Type	Method and Description
<T extends TType> AccumulateN<T>	MathOps.accumulateN(Iterable<Operand<T>> inputs, org.tensorflow.ndarray.Shape shape) Returns the element-wise sum of a list of tensors.
<T extends TType> AccumulatorTakeGradient<T>	TrainOps.accumulatorTakeGradient(Operand<TString> handle, Operand<TInt32> numRequired, Class<T> dtype) Extracts the average gradient in the given ConditionalAccumulator.
<T extends TType> Acos<T>	MathOps.acos(Operand<T> x) Computes acos of x element-wise.
<T extends TType> Acosh<T>	MathOps.acosh(Operand<T> x) Computes inverse hyperbolic cosine of x element-wise.
<T extends TType> Add<T>	MathOps.add(Operand<T> x, Operand<T> y) Returns x + y element-wise.
<T extends TType> AddN<T>	MathOps.addN(Iterable<Operand<T>> inputs) Add all input tensors element wise.
<T extends TType> ApplyAdadelta<T>	TrainOps.applyAdadelta(Operand<T> var, Operand<T> accum, Operand<T> accumUpdate, Operand<T> lr, Operand<T> rho, Operand<T> epsilon, Operand<T> grad, ApplyAdadelta.Options... options) Update '*var' according to the adadelta scheme.
<T extends TType> ApplyAdagrad<T>	TrainOps.applyAdagrad(Operand<T> var, Operand<T> accum, Operand<T> lr, Operand<T> grad, ApplyAdagrad.Options... options) Update '*var' according to the adagrad scheme.
<T extends TType> ApplyAdagradDa<T>	TrainOps.applyAdagradDa(Operand<T> var, Operand<T> gradientAccumulator, Operand<T> gradientSquaredAccumulator, Operand<T> grad, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<TInt64> globalStep, ApplyAdagradDa.Options... options) Update '*var' according to the proximal adagrad scheme.
<T extends TType> ApplyAdam<T>	TrainOps.applyAdam(Operand<T> var, Operand<T> m, Operand<T> v, Operand<T> beta1Power, Operand<T> beta2Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, ApplyAdam.Options... options) Update '*var' according to the Adam algorithm.
<T extends TType> ApplyAddSign<T>	TrainOps.applyAddSign(Operand<T> var, Operand<T> m, Operand<T> lr, Operand<T> alpha, Operand<T> signDecay, Operand<T> beta, Operand<T> grad, ApplyAddSign.Options... options) Update '*var' according to the AddSign update.
<T extends TType> ApplyCenteredRmsProp<T>	TrainOps.applyCenteredRmsProp(Operand<T> var, Operand<T> mg, Operand<T> ms, Operand<T> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, ApplyCenteredRmsProp.Options... options) Update '*var' according to the centered RMSProp algorithm.
<T extends TType> ApplyFtrl<T>	TrainOps.applyFtrl(Operand<T> var, Operand<T> accum, Operand<T> linear, Operand<T> grad, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> l2Shrinkage, Operand<T> lrPower, ApplyFtrl.Options... options) Update '*var' according to the Ftrl-proximal scheme.
<T extends TType> ApplyGradientDescent<T>	TrainOps.applyGradientDescent(Operand<T> var, Operand<T> alpha, Operand<T> delta, ApplyGradientDescent.Options... options) Update '*var' by subtracting 'alpha' * 'delta' from it.
<T extends TType> ApplyMomentum<T>	TrainOps.applyMomentum(Operand<T> var, Operand<T> accum, Operand<T> lr, Operand<T> grad, Operand<T> momentum, ApplyMomentum.Options... options) Update '*var' according to the momentum scheme.
<T extends TType> ApplyPowerSign<T>	TrainOps.applyPowerSign(Operand<T> var, Operand<T> m, Operand<T> lr, Operand<T> logbase, Operand<T> signDecay, Operand<T> beta, Operand<T> grad, ApplyPowerSign.Options... options) Update '*var' according to the AddSign update.
<T extends TType> ApplyProximalAdagrad<T>	TrainOps.applyProximalAdagrad(Operand<T> var, Operand<T> accum, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> grad, ApplyProximalAdagrad.Options... options) Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.
<T extends TType> ApplyProximalGradientDescent<T>	TrainOps.applyProximalGradientDescent(Operand<T> var, Operand<T> alpha, Operand<T> l1, Operand<T> l2, Operand<T> delta, ApplyProximalGradientDescent.Options... options) Update '*var' as FOBOS algorithm with fixed learning rate.
<T extends TType> ApplyRmsProp<T>	TrainOps.applyRmsProp(Operand<T> var, Operand<T> ms, Operand<T> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, ApplyRmsProp.Options... options) Update '*var' according to the RMSProp algorithm.
<T extends TType> ApproximateEqual	MathOps.approximateEqual(Operand<T> x, Operand<T> y, ApproximateEqual.Options... options) Returns the truth value of abs(x-y) < tolerance element-wise.
<T extends TType> Asin<T>	MathOps.asin(Operand<T> x) Computes the trignometric inverse sine of x element-wise.
<T extends TType> Asinh<T>	MathOps.asinh(Operand<T> x) Computes inverse hyperbolic sine of x element-wise.
<T extends TType> Assign<T>	Ops.assign(Operand<T> ref, Operand<T> value, Assign.Options... options) Update 'ref' by assigning 'value' to it.
<T extends TType> AssignAdd<T>	Ops.assignAdd(Operand<T> ref, Operand<T> value, AssignAdd.Options... options) Update 'ref' by adding 'value' to it.
<T extends TType> AssignSub<T>	Ops.assignSub(Operand<T> ref, Operand<T> value, AssignSub.Options... options) Update 'ref' by subtracting 'value' from it.
<T extends TType> Atan<T>	MathOps.atan(Operand<T> x) Computes the trignometric inverse tangent of x element-wise.
<T extends TType> Atanh<T>	MathOps.atanh(Operand<T> x) Computes inverse hyperbolic tangent of x element-wise.
<T extends TType,U extends TNumber> BandPart<T>	LinalgOps.bandPart(Operand<T> input, Operand<U> numLower, Operand<U> numUpper) Copy a tensor setting everything outside a central band in each innermost matrix to zero.
<V extends TType> BatchMatMul<V>	TrainOps.batchMatMul(Operand<? extends TType> x, Operand<? extends TType> y, Class<V> Tout, BatchMatMul.Options... options) Multiplies slices of two tensors in batches.
<T extends TType> BatchMatrixBandPart<T>	LinalgOps.batchMatrixBandPart(Operand<T> input, Operand<TInt64> numLower, Operand<TInt64> numUpper) The BatchMatrixBandPart operation
<T extends TType> BatchMatrixDeterminant<T>	LinalgOps.batchMatrixDeterminant(Operand<T> input) The BatchMatrixDeterminant operation
<T extends TType> BatchMatrixDiag<T>	LinalgOps.batchMatrixDiag(Operand<T> diagonal) The BatchMatrixDiag operation
<T extends TType> BatchMatrixDiagPart<T>	LinalgOps.batchMatrixDiagPart(Operand<T> input) The BatchMatrixDiagPart operation
<T extends TType> BatchMatrixSetDiag<T>	LinalgOps.batchMatrixSetDiag(Operand<T> input, Operand<T> diagonal) The BatchMatrixSetDiag operation
<T extends TType> BatchNormWithGlobalNormalization<T>	NnOps.batchNormWithGlobalNormalization(Operand<T> t, Operand<T> m, Operand<T> v, Operand<T> beta, Operand<T> gamma, Float varianceEpsilon, Boolean scaleAfterNormalization) Batch normalization.
<T extends TType> BatchNormWithGlobalNormalizationGrad<T>	NnOps.batchNormWithGlobalNormalizationGrad(Operand<T> t, Operand<T> m, Operand<T> v, Operand<T> gamma, Operand<T> backprop, Float varianceEpsilon, Boolean scaleAfterNormalization) Gradients for batch normalization.
<T extends TType> BatchSvd<T>	LinalgOps.batchSvd(Operand<T> input, BatchSvd.Options... options) The BatchSvd operation
<T extends TType> BatchToSpace<T>	Ops.batchToSpace(Operand<T> input, Operand<? extends TNumber> crops, Long blockSize) BatchToSpace for 4-D tensors of type T.
<T extends TType> BatchToSpaceNd<T>	Ops.batchToSpaceNd(Operand<T> input, Operand<? extends TNumber> blockShape, Operand<? extends TNumber> crops) BatchToSpace for N-D tensors of type T.
<T extends TType> BiasAdd<T>	NnOps.biasAdd(Operand<T> value, Operand<T> bias, BiasAdd.Options... options) Adds bias to value.
<T extends TType> BiasAddGrad<T>	NnOps.biasAddGrad(Operand<T> outBackprop, BiasAddGrad.Options... options) The backward operation for "BiasAdd" on the "bias" tensor.
<U extends TType> Bitcast<U>	Ops.bitcast(Operand<? extends TType> input, Class<U> type) Bitcasts a tensor from one type to another without copying data.
<T extends TType> Operand<T>	Ops.booleanMask(Operand<T> tensor, Operand<TBool> mask, BooleanMask.Options... options) Apply boolean mask to tensor.
<T extends TType> Operand<T>	Ops.booleanMaskUpdate(Operand<T> tensor, Operand<TBool> mask, Operand<T> updates, BooleanMaskUpdate.Options... options) Updates a tensor at the masked values, and returns the updated tensor.
<T extends TType> BroadcastHelper<T>	XlaOps.broadcastHelper(Operand<T> lhs, Operand<T> rhs, Operand<? extends TNumber> broadcastDims) 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.
<T extends TType> BroadcastTo<T>	Ops.broadcastTo(Operand<T> input, Operand<? extends TNumber> shape) Broadcast an array for a compatible shape.
<U extends TType> Cast<U>	DtypesOps.cast(Operand<? extends TType> x, Class<U> DstT, Cast.Options... options) Cast x of type SrcT to y of DstT.
<T extends TType> Cholesky<T>	LinalgOps.cholesky(Operand<T> input) Computes the Cholesky decomposition of one or more square matrices.
<T extends TType> ClipByValue<T>	Ops.clipByValue(Operand<T> t, Operand<T> clipValueMin, Operand<T> clipValueMax) Clips tensor values to a specified min and max.
<T extends TType> ClusterOutput<T>	XlaOps.clusterOutput(Operand<T> input) Operator that connects the output of an XLA computation to other consumer graph nodes.
<U extends TType,T extends TNumber> Complex<U>	DtypesOps.complex(Operand<T> real, Operand<T> imag, Class<U> Tout) Converts two real numbers to a complex number.
<T extends TType> Concat<T>	Ops.concat(Iterable<Operand<T>> values, Operand<? extends TNumber> axis) Concatenates tensors along one dimension.
<T extends TType> ConditionalAccumulator	TrainOps.conditionalAccumulator(Class<T> dtype, org.tensorflow.ndarray.Shape shape, ConditionalAccumulator.Options... options) A conditional accumulator for aggregating gradients.
<T extends TType> Conj<T>	MathOps.conj(Operand<T> input) Returns the complex conjugate of a complex number.
<T extends TType> ConjugateTranspose<T>	LinalgOps.conjugateTranspose(Operand<T> x, Operand<? extends TNumber> perm) Shuffle dimensions of x according to a permutation and conjugate the result.
<T extends TType> Constant<T>	Ops.constant(Class<T> type, org.tensorflow.ndarray.Shape shape, org.tensorflow.ndarray.buffer.ByteDataBuffer data) Create a constant with data from the given buffer.
<T extends TType> Constant<T>	Ops.constantOf(T tensor) Create a constant by making an immutable copy of tensor.
<W extends TType,V extends TNumber> Conv<W>	XlaOps.conv(Operand<? extends TType> lhs, Operand<? extends TType> rhs, Operand<V> windowStrides, Operand<V> padding, Operand<V> lhsDilation, Operand<V> rhsDilation, Operand<V> featureGroupCount, String dimensionNumbers, String precisionConfig, Class<W> preferredElementType) Wraps the XLA ConvGeneralDilated operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#conv_convolution .
<T extends TType> Cos<T>	MathOps.cos(Operand<T> x) Computes cos of x element-wise.
<T extends TType> Cosh<T>	MathOps.cosh(Operand<T> x) Computes hyperbolic cosine of x element-wise.
<T extends TType> Cumprod<T>	MathOps.cumprod(Operand<T> x, Operand<? extends TNumber> axis, Cumprod.Options... options) Compute the cumulative product of the tensor x along axis.
<T extends TType> Cumsum<T>	MathOps.cumsum(Operand<T> x, Operand<? extends TNumber> axis, Cumsum.Options... options) Compute the cumulative sum of the tensor x along axis.
<T extends TType> DecodeRaw<T>	IoOps.decodeRaw(Operand<TString> bytes, Class<T> outType, DecodeRaw.Options... options) Reinterpret the bytes of a string as a vector of numbers.
<T extends TType> DeepCopy<T>	Ops.deepCopy(Operand<T> x) Makes a copy of x.
<T extends TType> DenseToDenseSetOperation<T>	SparseOps.denseToDenseSetOperation(Operand<T> set1, Operand<T> set2, String setOperation, DenseToDenseSetOperation.Options... options) Applies set operation along last dimension of 2 Tensor inputs.
<T extends TType> DenseToSparseSetOperation<T>	SparseOps.denseToSparseSetOperation(Operand<T> set1, Operand<TInt64> set2Indices, Operand<T> set2Values, Operand<TInt64> set2Shape, String setOperation, DenseToSparseSetOperation.Options... options) Applies set operation along last dimension of Tensor and SparseTensor.
<T extends TType> DepthToSpace<T>	NnOps.depthToSpace(Operand<T> input, Long blockSize, DepthToSpace.Options... options) DepthToSpace for tensors of type T.
<T extends TType> DeserializeManySparse<T>	IoOps.deserializeManySparse(Operand<TString> serializedSparse, Class<T> dtype) Deserialize and concatenate SparseTensors from a serialized minibatch.
<U extends TType> DeserializeSparse<U>	SparseOps.deserializeSparse(Operand<? extends TType> serializedSparse, Class<U> dtype) Deserialize SparseTensor objects.
<T extends TType> DestroyTemporaryVariable<T>	Ops.destroyTemporaryVariable(Operand<T> ref, String varName) Destroys the temporary variable and returns its final value.
<T extends TType> Det<T>	LinalgOps.det(Operand<T> input) Computes the determinant of one or more square matrices.
<T extends TType> Div<T>	MathOps.div(Operand<T> x, Operand<T> y) Returns x / y element-wise.
<T extends TType> DivNoNan<T>	MathOps.divNoNan(Operand<T> x, Operand<T> y) Returns 0 if the denominator is zero.
<V extends TType> Dot<V>	XlaOps.dot(Operand<? extends TType> lhs, Operand<? extends TType> rhs, String dimensionNumbers, String precisionConfig, Class<V> preferredElementType) Wraps the XLA DotGeneral operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#dotgeneral .
<T extends TType> DynamicPartition<T>	Ops.dynamicPartition(Operand<T> data, Operand<TInt32> partitions, Long numPartitions) Partitions data into num_partitions tensors using indices from partitions.
<T extends TType,U extends TNumber> DynamicSlice<T>	XlaOps.dynamicSlice(Operand<T> input, Operand<U> startIndices, Operand<U> sizeIndices) Wraps the XLA DynamicSlice operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#dynamicslice .
<T extends TType> DynamicStitch<T>	Ops.dynamicStitch(Iterable<Operand<TInt32>> indices, Iterable<Operand<T>> data) Interleave the values from the data tensors into a single tensor.
<T extends TType> DynamicUpdateSlice<T>	XlaOps.dynamicUpdateSlice(Operand<T> input, Operand<T> update, Operand<? extends TNumber> indices) Wraps the XLA DynamicUpdateSlice operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#dynamicupdateslice .
<T extends TType> EditDistance	Ops.editDistance(Operand<TInt64> hypothesisIndices, Operand<T> hypothesisValues, Operand<TInt64> hypothesisShape, Operand<TInt64> truthIndices, Operand<T> truthValues, Operand<TInt64> truthShape, EditDistance.Options... options) Computes the (possibly normalized) Levenshtein Edit Distance.
<U extends TType> Eig<U>	LinalgOps.eig(Operand<? extends TType> input, Class<U> Tout, Eig.Options... options) Computes the eigen decomposition of one or more square matrices.
<T extends TType> Einsum<T>	LinalgOps.einsum(Iterable<Operand<T>> inputs, String equation) Tensor contraction according to Einstein summation convention.
<T extends TType> Einsum<T>	XlaOps.einsum(Operand<T> a, Operand<T> b, String equation) An op which supports basic einsum op with 2 inputs and 1 output.
<T extends TType> Empty<T>	Ops.empty(Operand<TInt32> shape, Class<T> dtype, Empty.Options... options) Creates a tensor with the given shape.
<U extends TType> EmptyTensorList	Ops.emptyTensorList(Operand<? extends TNumber> elementShape, Operand<TInt32> maxNumElements, Class<U> elementDtype) Creates and returns an empty tensor list.
<T extends TType> EnsureShape<T>	Ops.ensureShape(Operand<T> input, org.tensorflow.ndarray.Shape shape) Ensures that the tensor's shape matches the expected shape.
<T extends TType> Equal	MathOps.equal(Operand<T> x, Operand<T> y, Equal.Options... options) Returns the truth value of (x == y) element-wise.
<T extends TType> EuclideanNorm<T>	LinalgOps.euclideanNorm(Operand<T> input, Operand<? extends TNumber> axis, EuclideanNorm.Options... options) Computes the euclidean norm of elements across dimensions of a tensor.
<T extends TType> Exp<T>	MathOps.exp(Operand<T> x) Computes exponential of x element-wise.
<T extends TType> ExpandDims<T>	Ops.expandDims(Operand<T> input, Operand<? extends TNumber> axis) Inserts a dimension of 1 into a tensor's shape.
<T extends TType> Expm1<T>	MathOps.expm1(Operand<T> x) Computes exp(x) - 1 element-wise.
<T extends TType> ExtractImagePatches<T>	ImageOps.extractImagePatches(Operand<T> images, List<Long> ksizes, List<Long> strides, List<Long> rates, String padding) Extract patches from images and put them in the "depth" output dimension.
<T extends TType> Fft<T>	SignalOps.fft(Operand<T> input) Fast Fourier transform.
<T extends TType> Fft2d<T>	SignalOps.fft2d(Operand<T> input) 2D fast Fourier transform.
<T extends TType> Fft3d<T>	SignalOps.fft3d(Operand<T> input) 3D fast Fourier transform.
<U extends TType> Fill<U>	Ops.fill(Operand<? extends TNumber> dims, Operand<U> value) Creates a tensor filled with a scalar value.
<T extends TType> Operand<T>	ShapeOps.flatten(Operand<T> operand) Flatten the operand to 1 dimension.
<T extends TType,U extends TNumber> Operand<T>	ShapeOps.flatten(Operand<T> operand, Class<U> type) Flatten the operand to 1 dimension
<T extends TType> FloorDiv<T>	MathOps.floorDiv(Operand<T> x, Operand<T> y) Returns x // y element-wise.
<T extends TType> Gather<T>	Ops.gather(Operand<T> params, Operand<? extends TNumber> indices, Operand<? extends TNumber> axis, Gather.Options... options) Gather slices from params axis axis according to indices.
<T extends TType,U extends TNumber> Gather<T>	XlaOps.gather(Operand<T> operand, Operand<U> startIndices, Operand<U> sliceSizes, String dimensionNumbers, Boolean indicesAreSorted) Wraps the XLA Gather operator documented at https://www.tensorflow.org/xla/operation_semantics#gather
<T extends TType> GatherNd<T>	Ops.gatherNd(Operand<T> params, Operand<? extends TNumber> indices) Gather slices from params into a Tensor with shape specified by indices.
<T extends TType> GetSessionTensor<T>	Ops.getSessionTensor(Operand<TString> handle, Class<T> dtype) Get the value of the tensor specified by its handle.
<T extends TType> GuaranteeConst<T>	Ops.guaranteeConst(Operand<T> input) Gives a guarantee to the TF runtime that the input tensor is a constant.
<T extends TType,U extends TType> HashTable	Ops.hashTable(Class<T> keyDtype, Class<U> valueDtype, HashTable.Options... options) Creates a non-initialized hash table.
<T extends TType,U extends TType> HashTable	Ops.hashTable(Class<T> keyDtype, Class<U> valueDtype, HashTable.Options... options) Creates a non-initialized hash table.
<T extends TType> Identity<T>	Ops.identity(Operand<T> input) Return a tensor with the same shape and contents as the input tensor or value.
<T extends TType> Ifft<T>	SignalOps.ifft(Operand<T> input) Inverse fast Fourier transform.
<T extends TType> Ifft2d<T>	SignalOps.ifft2d(Operand<T> input) Inverse 2D fast Fourier transform.
<T extends TType> Ifft3d<T>	SignalOps.ifft3d(Operand<T> input) Inverse 3D fast Fourier transform.
<T extends TType> ImmutableConst<T>	Ops.immutableConst(Class<T> dtype, org.tensorflow.ndarray.Shape shape, String memoryRegionName) Returns immutable tensor from memory region.
<T extends TType> InplaceAdd<T>	Ops.inplaceAdd(Operand<T> x, Operand<TInt32> i, Operand<T> v) Adds v into specified rows of x.
<T extends TType> InplaceSub<T>	Ops.inplaceSub(Operand<T> x, Operand<TInt32> i, Operand<T> v) Subtracts `v` into specified rows of `x`.
<T extends TType> InplaceUpdate<T>	Ops.inplaceUpdate(Operand<T> x, Operand<TInt32> i, Operand<T> v) Updates specified rows 'i' with values 'v'.
<T extends TType> Inv<T>	LinalgOps.inv(Operand<T> input, Inv.Options... options) Computes the inverse of one or more square invertible matrices or their adjoints (conjugate transposes).
<T extends TNumber,U extends TType> KeyValueSort<T,U>	XlaOps.keyValueSort(Operand<T> keys, Operand<U> values) Wraps the XLA Sort operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#sort .
<T extends TType> Log<T>	MathOps.log(Operand<T> x) Computes natural logarithm of x element-wise.
<T extends TType> Log1p<T>	MathOps.log1p(Operand<T> x) Computes natural logarithm of (1 + x) element-wise.
<T extends TType> LogMatrixDeterminant<T>	LinalgOps.logMatrixDeterminant(Operand<T> input) Computes the sign and the log of the absolute value of the determinant of one or more square matrices.
<T extends TType,U extends TType> LookupTableExport<T,U>	Ops.lookupTableExport(Operand<? extends TType> tableHandle, Class<T> Tkeys, Class<U> Tvalues) Outputs all keys and values in the table.
<T extends TType,U extends TType> LookupTableExport<T,U>	Ops.lookupTableExport(Operand<? extends TType> tableHandle, Class<T> Tkeys, Class<U> Tvalues) Outputs all keys and values in the table.
<U extends TType> LookupTableFind<U>	Ops.lookupTableFind(Operand<? extends TType> tableHandle, Operand<? extends TType> keys, Operand<U> defaultValue) Looks up keys in a table, outputs the corresponding values.
<T extends TType> Lu<T,TInt32>	LinalgOps.lu(Operand<T> input) Computes the LU decomposition of one or more square matrices.
<T extends TType,U extends TNumber> Lu<T,U>	LinalgOps.lu(Operand<T> input, Class<U> outputIdxType) Computes the LU decomposition of one or more square matrices.
<T extends TType> MatMul<T>	LinalgOps.matMul(Operand<T> a, Operand<T> b, MatMul.Options... options) Multiply the matrix "a" by the matrix "b".
<T extends TType> MatrixDiag<T>	LinalgOps.matrixDiag(Operand<T> diagonal, Operand<TInt32> k, Operand<TInt32> numRows, Operand<TInt32> numCols, Operand<T> paddingValue) Returns a batched diagonal tensor with given batched diagonal values.
<T extends TType> MatrixDiagPart<T>	LinalgOps.matrixDiagPart(Operand<T> input, Operand<TInt32> k, Operand<T> paddingValue) Returns the batched diagonal part of a batched tensor.
<T extends TType> MatrixDiagPartV3<T>	LinalgOps.matrixDiagPartV3(Operand<T> input, Operand<TInt32> k, Operand<T> paddingValue, MatrixDiagPartV3.Options... options) Returns the batched diagonal part of a batched tensor.
<T extends TType> MatrixDiagV3<T>	LinalgOps.matrixDiagV3(Operand<T> diagonal, Operand<TInt32> k, Operand<TInt32> numRows, Operand<TInt32> numCols, Operand<T> paddingValue, MatrixDiagV3.Options... options) Returns a batched diagonal tensor with given batched diagonal values.
<T extends TType> MatrixSetDiag<T>	LinalgOps.matrixSetDiag(Operand<T> input, Operand<T> diagonal, Operand<TInt32> k, MatrixSetDiag.Options... options) Returns a batched matrix tensor with new batched diagonal values.
<T extends TType> MatrixSolveLs<T>	LinalgOps.matrixSolveLs(Operand<T> matrix, Operand<T> rhs, Operand<TFloat64> l2Regularizer, MatrixSolveLs.Options... options) Solves one or more linear least-squares problems.
<T extends TType> Mean<T>	MathOps.mean(Operand<T> input, Operand<? extends TNumber> axis, Mean.Options... options) Computes the mean of elements across dimensions of a tensor.
<T extends TType> Merge<T>	Ops.merge(Iterable<Operand<T>> inputs) Forwards the value of an available tensor from inputs to output.
<T extends TType> MirrorPad<T>	Ops.mirrorPad(Operand<T> input, Operand<? extends TNumber> paddings, String mode) Pads a tensor with mirrored values.
<T extends TType> Mul<T>	MathOps.mul(Operand<T> x, Operand<T> y) Returns x * y element-wise.
<T extends TType> MulNoNan<T>	MathOps.mulNoNan(Operand<T> x, Operand<T> y) Returns x * y element-wise.
<T extends TType,U extends TType> MutableDenseHashTable	Ops.mutableDenseHashTable(Operand<T> emptyKey, Operand<T> deletedKey, Class<U> valueDtype, MutableDenseHashTable.Options... options) Creates an empty hash table that uses tensors as the backing store.
<T extends TType,U extends TType> MutableDenseHashTable	Ops.mutableDenseHashTable(Operand<T> emptyKey, Operand<T> deletedKey, Class<U> valueDtype, MutableDenseHashTable.Options... options) Creates an empty hash table that uses tensors as the backing store.
<T extends TType,U extends TType> MutableHashTable	Ops.mutableHashTable(Class<T> keyDtype, Class<U> valueDtype, MutableHashTable.Options... options) Creates an empty hash table.
<T extends TType,U extends TType> MutableHashTable	Ops.mutableHashTable(Class<T> keyDtype, Class<U> valueDtype, MutableHashTable.Options... options) Creates an empty hash table.
<T extends TType,U extends TType> MutableHashTableOfTensors	Ops.mutableHashTableOfTensors(Class<T> keyDtype, Class<U> valueDtype, MutableHashTableOfTensors.Options... options) Creates an empty hash table.
<T extends TType,U extends TType> MutableHashTableOfTensors	Ops.mutableHashTableOfTensors(Class<T> keyDtype, Class<U> valueDtype, MutableHashTableOfTensors.Options... options) Creates an empty hash table.
<T extends TType> Neg<T>	MathOps.neg(Operand<T> x) Computes numerical negative value element-wise.
<T extends TType> NextIteration<T>	Ops.nextIteration(Operand<T> data) Makes its input available to the next iteration.
<T extends TType> NotEqual	MathOps.notEqual(Operand<T> x, Operand<T> y, NotEqual.Options... options) Returns the truth value of (x != y) element-wise.
<U extends TType> OneHot<U>	Ops.oneHot(Operand<? extends TNumber> indices, Operand<TInt32> depth, Operand<U> onValue, Operand<U> offValue, OneHot.Options... options) Returns a one-hot tensor.
<T extends TType> Ones<T>	Ops.ones(Operand<? extends TNumber> dims, Class<T> type) Creates a one valued tensor given its type and shape.
<T extends TType> OnesLike<T>	Ops.onesLike(Operand<T> x) Returns a tensor of ones with the same shape and type as x.
<T extends TType> Pad<T>	Ops.pad(Operand<T> input, Operand<? extends TNumber> paddings, Operand<T> constantValues) Pads a tensor.
<T extends TType,U extends TNumber> Pad<T>	XlaOps.pad(Operand<T> input, Operand<T> paddingValue, Operand<U> paddingLow, Operand<U> paddingHigh, Operand<U> paddingInterior) Wraps the XLA Pad operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#pad .
<T extends TType> ParallelConcat<T>	Ops.parallelConcat(Iterable<Operand<T>> values, org.tensorflow.ndarray.Shape shape) Concatenates a list of N tensors along the first dimension.
<T extends TType> ParallelDynamicStitch<T>	Ops.parallelDynamicStitch(Iterable<Operand<TInt32>> indices, Iterable<Operand<T>> data) Interleave the values from the data tensors into a single tensor.
<T extends TType> ParseTensor<T>	IoOps.parseTensor(Operand<TString> serialized, Class<T> outType) Transforms a serialized tensorflow.TensorProto proto into a Tensor.
<T extends TType> PartitionedInput<T>	TpuOps.partitionedInput(Iterable<Operand<T>> inputs, PartitionedInput.Options... options) An op that groups a list of partitioned inputs together.
<T extends TType> PartitionedOutput<T>	TpuOps.partitionedOutput(Operand<T> inputs, Long numSplits, PartitionedOutput.Options... options) An op that demultiplexes a tensor to be sharded by XLA to a list of partitioned outputs outside the XLA computation.
<T extends TType> Placeholder<T>	Ops.placeholder(Class<T> dtype, Placeholder.Options... options) A placeholder op for a value that will be fed into the computation.
<T extends TType> PlaceholderWithDefault<T>	Ops.placeholderWithDefault(Operand<T> input, org.tensorflow.ndarray.Shape shape) A placeholder op that passes through input when its output is not fed.
<T extends TType> Pow<T>	MathOps.pow(Operand<T> x, Operand<T> y) Computes the power of one value to another.
<T extends TType> PreventGradient<T>	TrainOps.preventGradient(Operand<T> input, PreventGradient.Options... options) An identity op that triggers an error if a gradient is requested.
<T extends TType> Prod<T>	Ops.prod(Operand<T> input, Operand<? extends TNumber> axis, Prod.Options... options) Computes the product of elements across dimensions of a tensor.
<T extends TType> Qr<T>	LinalgOps.qr(Operand<T> input, Qr.Options... options) Computes the QR decompositions of one or more matrices.
<T extends TType> QuantizedConcat<T>	QuantizationOps.quantizedConcat(Operand<TInt32> concatDim, Iterable<Operand<T>> values, Iterable<Operand<TFloat32>> inputMins, Iterable<Operand<TFloat32>> inputMaxes) Concatenates quantized tensors along one dimension.
<T extends TType> QuantizedReshape<T>	Ops.quantizedReshape(Operand<T> tensor, Operand<? extends TNumber> shape, Operand<TFloat32> inputMin, Operand<TFloat32> inputMax) Reshapes a quantized tensor as per the Reshape op.
<T extends TType> RandomShuffle<T>	RandomOps.randomShuffle(Operand<T> value, RandomShuffle.Options... options) Randomly shuffles a tensor along its first dimension.
<T extends TType> ReadVariableOp<T>	Ops.readVariableOp(Operand<? extends TType> resource, Class<T> dtype) Reads the value of a variable.
<T extends TType> RealDiv<T>	MathOps.realDiv(Operand<T> x, Operand<T> y) Returns x / y element-wise for real types.
<T extends TType> Reciprocal<T>	MathOps.reciprocal(Operand<T> x) Computes the reciprocal of x element-wise.
<T extends TType> Recv<T>	XlaOps.recv(Class<T> dtype, String tensorName, org.tensorflow.ndarray.Shape shape) Receives the named tensor from another XLA computation.
<T extends TType> Reduce<T>	XlaOps.reduce(Operand<T> input, Operand<T> initValue, List<Long> dimensionsToReduce, ConcreteFunction reducer) Wraps the XLA Reduce operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#reduce .
<T extends TType> Operand<T>	ShapeOps.reduceDims(Operand<T> operand, Operand<TInt32> axis) Reshapes the operand by reducing the shape to the specified axis.
<T extends TType,U extends TNumber> Operand<T>	ShapeOps.reduceDims(Operand<T> operand, Operand<U> axis, Class<U> type) Reshapes the operand by reducing the shape to the specified axis.
<T extends TType> ReduceProd<T>	Ops.reduceProd(Operand<T> input, Operand<? extends TNumber> axis, ReduceProd.Options... options) Computes the product of elements across dimensions of a tensor.
<T extends TType> ReduceSum<T>	Ops.reduceSum(Operand<T> input, Operand<? extends TNumber> axis, ReduceSum.Options... options) Computes the sum of elements across dimensions of a tensor.
<T extends TType,U extends TNumber> ReduceWindow<T>	XlaOps.reduceWindow(Operand<T> input, Operand<T> initValue, Operand<U> windowDimensions, Operand<U> windowStrides, Operand<U> baseDilations, Operand<U> windowDilations, Operand<U> padding, ConcreteFunction computation) Wraps the XLA ReduceWindow operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#reducewindow .
<T extends TType> RefNextIteration<T>	Ops.refNextIteration(Operand<T> data) Makes its input available to the next iteration.
<T extends TType> RefSelect<T>	Ops.refSelect(Operand<TInt32> index, Iterable<Operand<T>> inputs) Forwards the indexth element of inputs to output.
<T extends TType> RefSwitch<T>	Ops.refSwitch(Operand<T> data, Operand<TBool> pred) Forwards the ref tensor data to the output port determined by pred.
<T extends TType> RemoveDynamicDimensionSize<T>	XlaOps.removeDynamicDimensionSize(Operand<T> input, Operand<TInt32> dimIndex) Inverse of XlaSetDynamicDimensionSize.
<T extends TType> Reshape<T>	Ops.reshape(Operand<T> tensor, Operand<? extends TNumber> shape) Reshapes a tensor.
<T extends TType> ResourceApplyAdadelta	TrainOps.resourceApplyAdadelta(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> accumUpdate, Operand<T> lr, Operand<T> rho, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdadelta.Options... options) Update '*var' according to the adadelta scheme.
<T extends TType> ResourceApplyAdagradDa	TrainOps.resourceApplyAdagradDa(Operand<? extends TType> var, Operand<? extends TType> gradientAccumulator, Operand<? extends TType> gradientSquaredAccumulator, Operand<T> grad, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<TInt64> globalStep, ResourceApplyAdagradDa.Options... options) Update '*var' according to the proximal adagrad scheme.
<T extends TType> ResourceApplyAdam	TrainOps.resourceApplyAdam(Operand<? extends TType> var, Operand<? extends TType> m, Operand<? extends TType> v, Operand<T> beta1Power, Operand<T> beta2Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdam.Options... options) Update '*var' according to the Adam algorithm.
<T extends TType> ResourceApplyAdamWithAmsgrad	TrainOps.resourceApplyAdamWithAmsgrad(Operand<? extends TType> var, Operand<? extends TType> m, Operand<? extends TType> v, Operand<? extends TType> vhat, Operand<T> beta1Power, Operand<T> beta2Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdamWithAmsgrad.Options... options) Update '*var' according to the Adam algorithm.
<T extends TType> ResourceApplyAddSign	TrainOps.resourceApplyAddSign(Operand<? extends TType> var, Operand<? extends TType> m, Operand<T> lr, Operand<T> alpha, Operand<T> signDecay, Operand<T> beta, Operand<T> grad, ResourceApplyAddSign.Options... options) Update '*var' according to the AddSign update.
<T extends TType> ResourceApplyCenteredRmsProp	TrainOps.resourceApplyCenteredRmsProp(Operand<? extends TType> var, Operand<? extends TType> mg, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, ResourceApplyCenteredRmsProp.Options... options) Update '*var' according to the centered RMSProp algorithm.
<T extends TType> ResourceApplyFtrl	TrainOps.resourceApplyFtrl(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> linear, Operand<T> grad, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> l2Shrinkage, Operand<T> lrPower, ResourceApplyFtrl.Options... options) Update '*var' according to the Ftrl-proximal scheme.
<T extends TType> ResourceApplyGradientDescent	TrainOps.resourceApplyGradientDescent(Operand<? extends TType> var, Operand<T> alpha, Operand<T> delta, ResourceApplyGradientDescent.Options... options) Update '*var' by subtracting 'alpha' * 'delta' from it.
<T extends TType> ResourceApplyKerasMomentum	TrainOps.resourceApplyKerasMomentum(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<T> momentum, ResourceApplyKerasMomentum.Options... options) Update '*var' according to the momentum scheme.
<T extends TType> ResourceApplyMomentum	TrainOps.resourceApplyMomentum(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<T> momentum, ResourceApplyMomentum.Options... options) Update '*var' according to the momentum scheme.
<T extends TType> ResourceApplyPowerSign	TrainOps.resourceApplyPowerSign(Operand<? extends TType> var, Operand<? extends TType> m, Operand<T> lr, Operand<T> logbase, Operand<T> signDecay, Operand<T> beta, Operand<T> grad, ResourceApplyPowerSign.Options... options) Update '*var' according to the AddSign update.
<T extends TType> ResourceApplyProximalAdagrad	TrainOps.resourceApplyProximalAdagrad(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> grad, ResourceApplyProximalAdagrad.Options... options) Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.
<T extends TType> ResourceApplyProximalGradientDescent	TrainOps.resourceApplyProximalGradientDescent(Operand<? extends TType> var, Operand<T> alpha, Operand<T> l1, Operand<T> l2, Operand<T> delta, ResourceApplyProximalGradientDescent.Options... options) Update '*var' as FOBOS algorithm with fixed learning rate.
<T extends TType> ResourceApplyRmsProp	TrainOps.resourceApplyRmsProp(Operand<? extends TType> var, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, ResourceApplyRmsProp.Options... options) Update '*var' according to the RMSProp algorithm.
<U extends TType> ResourceGather<U>	Ops.resourceGather(Operand<? extends TType> resource, Operand<? extends TNumber> indices, Class<U> dtype, ResourceGather.Options... options) Gather slices from the variable pointed to by resource according to indices.
<U extends TType> ResourceGatherNd<U>	Ops.resourceGatherNd(Operand<? extends TType> resource, Operand<? extends TNumber> indices, Class<U> dtype) The ResourceGatherNd operation
<T extends TType> ResourceSparseApplyAdadelta	TrainOps.resourceSparseApplyAdadelta(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> accumUpdate, Operand<T> lr, Operand<T> rho, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyAdadelta.Options... options) var: Should be from a Variable().
<T extends TType> ResourceSparseApplyAdagrad	TrainOps.resourceSparseApplyAdagrad(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyAdagrad.Options... options) Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
<T extends TType> ResourceSparseApplyAdagradDa	TrainOps.resourceSparseApplyAdagradDa(Operand<? extends TType> var, Operand<? extends TType> gradientAccumulator, Operand<? extends TType> gradientSquaredAccumulator, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<TInt64> globalStep, ResourceSparseApplyAdagradDa.Options... options) Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
<T extends TType> ResourceSparseApplyCenteredRmsProp	TrainOps.resourceSparseApplyCenteredRmsProp(Operand<? extends TType> var, Operand<? extends TType> mg, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyCenteredRmsProp.Options... options) Update '*var' according to the centered RMSProp algorithm.
<T extends TType> ResourceSparseApplyFtrl	TrainOps.resourceSparseApplyFtrl(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> linear, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> l2Shrinkage, Operand<T> lrPower, ResourceSparseApplyFtrl.Options... options) Update relevant entries in '*var' according to the Ftrl-proximal scheme.
<T extends TType> ResourceSparseApplyKerasMomentum	TrainOps.resourceSparseApplyKerasMomentum(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> momentum, ResourceSparseApplyKerasMomentum.Options... options) Update relevant entries in '*var' and '*accum' according to the momentum scheme.
<T extends TType> ResourceSparseApplyMomentum	TrainOps.resourceSparseApplyMomentum(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> momentum, ResourceSparseApplyMomentum.Options... options) Update relevant entries in '*var' and '*accum' according to the momentum scheme.
<T extends TType> ResourceSparseApplyProximalAdagrad	TrainOps.resourceSparseApplyProximalAdagrad(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyProximalAdagrad.Options... options) Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
<T extends TType> ResourceSparseApplyProximalGradientDescent	TrainOps.resourceSparseApplyProximalGradientDescent(Operand<? extends TType> var, Operand<T> alpha, Operand<T> l1, Operand<T> l2, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyProximalGradientDescent.Options... options) Sparse update '*var' as FOBOS algorithm with fixed learning rate.
<T extends TType> ResourceSparseApplyRmsProp	TrainOps.resourceSparseApplyRmsProp(Operand<? extends TType> var, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyRmsProp.Options... options) Update '*var' according to the RMSProp algorithm.
<T extends TType> RestoreSlice<T>	TrainOps.restoreSlice(Operand<TString> filePattern, Operand<TString> tensorName, Operand<TString> shapeAndSlice, Class<T> dt, RestoreSlice.Options... options) Restores a tensor from checkpoint files.
<T extends TType> Reverse<T>	Ops.reverse(Operand<T> tensor, Operand<? extends TNumber> axis) Reverses specific dimensions of a tensor.
<T extends TType> ReverseSequence<T>	Ops.reverseSequence(Operand<T> input, Operand<? extends TNumber> seqLengths, Long seqDim, ReverseSequence.Options... options) Reverses variable length slices.
<U extends TType> Rfft<U>	SignalOps.rfft(Operand<? extends TNumber> input, Operand<TInt32> fftLength, Class<U> Tcomplex) Real-valued fast Fourier transform.
<U extends TType> Rfft2d<U>	SignalOps.rfft2d(Operand<? extends TNumber> input, Operand<TInt32> fftLength, Class<U> Tcomplex) 2D real-valued fast Fourier transform.
<U extends TType> Rfft3d<U>	SignalOps.rfft3d(Operand<? extends TNumber> input, Operand<TInt32> fftLength, Class<U> Tcomplex) 3D real-valued fast Fourier transform.
<T extends TType> Roll<T>	Ops.roll(Operand<T> input, Operand<? extends TNumber> shift, Operand<? extends TNumber> axis) Rolls the elements of a tensor along an axis.
<T extends TType> Round<T>	MathOps.round(Operand<T> x) Rounds the values of a tensor to the nearest integer, element-wise.
<T extends TType> Rsqrt<T>	MathOps.rsqrt(Operand<T> x) Computes reciprocal of square root of x element-wise.
<T extends TType> Scatter<T>	XlaOps.scatter(Operand<T> operand, Operand<? extends TNumber> scatterIndices, Operand<T> updates, ConcreteFunction updateComputation, String dimensionNumbers, Boolean indicesAreSorted) Wraps the XLA Scatter operator documented at https://www.tensorflow.org/xla/operation_semantics#scatter.
<T extends TType> ScatterAdd<T>	Ops.scatterAdd(Operand<T> ref, Operand<? extends TNumber> indices, Operand<T> updates, ScatterAdd.Options... options) Adds sparse updates to a variable reference.
<T extends TType> ScatterDiv<T>	Ops.scatterDiv(Operand<T> ref, Operand<? extends TNumber> indices, Operand<T> updates, ScatterDiv.Options... options) Divides a variable reference by sparse updates.
<T extends TType> ScatterMul<T>	Ops.scatterMul(Operand<T> ref, Operand<? extends TNumber> indices, Operand<T> updates, ScatterMul.Options... options) Multiplies sparse updates into a variable reference.
<U extends TType,T extends TNumber> ScatterNd<U>	Ops.scatterNd(Operand<T> indices, Operand<U> updates, Operand<T> shape) Scatters updates into a tensor of shape shape according to indices.
<T extends TType> ScatterNdAdd<T>	Ops.scatterNdAdd(Operand<T> ref, Operand<? extends TNumber> indices, Operand<T> updates, ScatterNdAdd.Options... options) Applies sparse addition to individual values or slices in a Variable.
<T extends TType> ScatterNdNonAliasingAdd<T>	Ops.scatterNdNonAliasingAdd(Operand<T> input, Operand<? extends TNumber> indices, Operand<T> updates) Applies sparse addition to input using individual values or slices from updates according to indices indices.
<T extends TType> ScatterNdSub<T>	Ops.scatterNdSub(Operand<T> ref, Operand<? extends TNumber> indices, Operand<T> updates, ScatterNdSub.Options... options) Applies sparse subtraction to individual values or slices in a Variable.
<T extends TType> ScatterNdUpdate<T>	Ops.scatterNdUpdate(Operand<T> ref, Operand<? extends TNumber> indices, Operand<T> updates, ScatterNdUpdate.Options... options) Applies sparse updates to individual values or slices within a given variable according to indices.
<T extends TType> ScatterSub<T>	Ops.scatterSub(Operand<T> ref, Operand<? extends TNumber> indices, Operand<T> updates, ScatterSub.Options... options) Subtracts sparse updates to a variable reference.
<T extends TType> ScatterUpdate<T>	Ops.scatterUpdate(Operand<T> ref, Operand<? extends TNumber> indices, Operand<T> updates, ScatterUpdate.Options... options) Applies sparse updates to a variable reference.
<T extends TType> SegmentMean<T>	MathOps.segmentMean(Operand<T> data, Operand<? extends TNumber> segmentIds) Computes the mean along segments of a tensor.
<T extends TType> SegmentProd<T>	MathOps.segmentProd(Operand<T> data, Operand<? extends TNumber> segmentIds) Computes the product along segments of a tensor.
<T extends TType> SegmentSum<T>	MathOps.segmentSum(Operand<T> data, Operand<? extends TNumber> segmentIds) Computes the sum along segments of a tensor.
<T extends TType> Select<T>	Ops.select(Operand<TBool> condition, Operand<T> t, Operand<T> e) The SelectV2 operation
<T extends TType,U extends TNumber> SelectAndScatter<T>	XlaOps.selectAndScatter(Operand<T> operand, Operand<U> windowDimensions, Operand<U> windowStrides, Operand<U> padding, Operand<T> source, Operand<T> initValue, ConcreteFunction select, ConcreteFunction scatter) Wraps the XLA SelectAndScatter operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#selectandscatter .
<T extends TType> SelfAdjointEig<T>	XlaOps.selfAdjointEig(Operand<T> a, Boolean lower, Long maxIter, Float epsilon) Computes the eigen decomposition of a batch of self-adjoint matrices (Note: Only real inputs are supported).
<T extends TType> SelfAdjointEig<T>	LinalgOps.selfAdjointEig(Operand<T> input, SelfAdjointEig.Options... options) Computes the eigen decomposition of one or more square self-adjoint matrices.
<U extends TType> SerializeManySparse<U>	IoOps.serializeManySparse(Operand<TInt64> sparseIndices, Operand<? extends TType> sparseValues, Operand<TInt64> sparseShape, Class<U> outType) Serialize an N-minibatch SparseTensor into an [N, 3] Tensor object.
<U extends TType> SerializeSparse<U>	IoOps.serializeSparse(Operand<TInt64> sparseIndices, Operand<? extends TType> sparseValues, Operand<TInt64> sparseShape, Class<U> outType) Serialize a SparseTensor into a [3] Tensor object.
<T extends TType> SetDiff1d<T,TInt32>	Ops.setDiff1d(Operand<T> x, Operand<T> y) Computes the difference between two lists of numbers or strings.
<T extends TType,U extends TNumber> SetDiff1d<T,U>	Ops.setDiff1d(Operand<T> x, Operand<T> y, Class<U> outIdx) Computes the difference between two lists of numbers or strings.
<T extends TType> SetDynamicDimensionSize<T>	XlaOps.setDynamicDimensionSize(Operand<T> input, Operand<TInt32> dimIndex, Operand<TInt32> sizeOutput) Make a static dimension into a xla bounded dynamic dimension.
<T extends TType> Sharding<T>	XlaOps.sharding(Operand<T> input, Sharding.Options... options) An op which shards the input based on the given sharding attribute.
<T extends TType> Sigmoid<T>	MathOps.sigmoid(Operand<T> x) Computes sigmoid of x element-wise.
<T extends TType> Sign<T>	MathOps.sign(Operand<T> x) Returns an element-wise indication of the sign of a number.
<T extends TType> Sin<T>	MathOps.sin(Operand<T> x) Computes sine of x element-wise.
<T extends TType> Sinh<T>	MathOps.sinh(Operand<T> x) Computes hyperbolic sine of x element-wise.
<T extends TType> Operand<TInt32>	ShapeOps.size(Operand<T> input, Operand<TInt32> dim) Get the size of the specified dimension for the shape of the tensor.
<T extends TType,U extends TNumber> Operand<U>	ShapeOps.size(Operand<T> input, Operand<U> dim, Class<U> type) Get the size of the specified dimension for the shape of the tensor.
<T extends TType,U extends TNumber> Slice<T>	Ops.slice(Operand<T> input, Operand<U> begin, Operand<U> sizeOutput) Return a slice from 'input'.
<T extends TType> Snapshot<T>	Ops.snapshot(Operand<T> input) Returns a copy of the input tensor.
<T extends TType> Solve<T>	LinalgOps.solve(Operand<T> matrix, Operand<T> rhs, Solve.Options... options) Solves systems of linear equations.
<T extends TType> Sort<T>	XlaOps.sort(Operand<T> input) Wraps the XLA Sort operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#sort .
<T extends TType> SpaceToBatch<T>	NnOps.spaceToBatch(Operand<T> input, Operand<? extends TNumber> paddings, Long blockSize) SpaceToBatch for 4-D tensors of type T.
<T extends TType> SpaceToBatchNd<T>	Ops.spaceToBatchNd(Operand<T> input, Operand<? extends TNumber> blockShape, Operand<? extends TNumber> paddings) SpaceToBatch for N-D tensors of type T.
<T extends TType> SpaceToDepth<T>	NnOps.spaceToDepth(Operand<T> input, Long blockSize, SpaceToDepth.Options... options) SpaceToDepth for tensors of type T.
<T extends TType> SparseAccumulatorTakeGradient<T>	SparseOps.sparseAccumulatorTakeGradient(Operand<TString> handle, Operand<TInt32> numRequired, Class<T> dtype) Extracts the average sparse gradient in a SparseConditionalAccumulator.
<T extends TType> SparseAdd<T>	SparseOps.sparseAdd(Operand<TInt64> aIndices, Operand<T> aValues, Operand<TInt64> aShape, Operand<TInt64> bIndices, Operand<T> bValues, Operand<TInt64> bShape, Operand<? extends TNumber> thresh) Adds two SparseTensor objects to produce another SparseTensor.
<T extends TType> SparseAddGrad<T>	SparseOps.sparseAddGrad(Operand<T> backpropValGrad, Operand<TInt64> aIndices, Operand<TInt64> bIndices, Operand<TInt64> sumIndices) The gradient operator for the SparseAdd op.
<T extends TType> SparseApplyAdadelta<T>	TrainOps.sparseApplyAdadelta(Operand<T> var, Operand<T> accum, Operand<T> accumUpdate, Operand<T> lr, Operand<T> rho, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, SparseApplyAdadelta.Options... options) var: Should be from a Variable().
<T extends TType> SparseApplyAdagradDa<T>	TrainOps.sparseApplyAdagradDa(Operand<T> var, Operand<T> gradientAccumulator, Operand<T> gradientSquaredAccumulator, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<TInt64> globalStep, SparseApplyAdagradDa.Options... options) Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
<T extends TType> SparseApplyCenteredRmsProp<T>	TrainOps.sparseApplyCenteredRmsProp(Operand<T> var, Operand<T> mg, Operand<T> ms, Operand<T> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, SparseApplyCenteredRmsProp.Options... options) Update '*var' according to the centered RMSProp algorithm.
<T extends TType> SparseApplyFtrl<T>	TrainOps.sparseApplyFtrl(Operand<T> var, Operand<T> accum, Operand<T> linear, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> l2Shrinkage, Operand<T> lrPower, SparseApplyFtrl.Options... options) Update relevant entries in '*var' according to the Ftrl-proximal scheme.
<T extends TType> SparseApplyMomentum<T>	TrainOps.sparseApplyMomentum(Operand<T> var, Operand<T> accum, Operand<T> lr, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> momentum, SparseApplyMomentum.Options... options) Update relevant entries in '*var' and '*accum' according to the momentum scheme.
<T extends TType> SparseApplyProximalAdagrad<T>	TrainOps.sparseApplyProximalAdagrad(Operand<T> var, Operand<T> accum, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> grad, Operand<? extends TNumber> indices, SparseApplyProximalAdagrad.Options... options) Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
<T extends TType> SparseApplyProximalGradientDescent<T>	TrainOps.sparseApplyProximalGradientDescent(Operand<T> var, Operand<T> alpha, Operand<T> l1, Operand<T> l2, Operand<T> grad, Operand<? extends TNumber> indices, SparseApplyProximalGradientDescent.Options... options) Sparse update '*var' as FOBOS algorithm with fixed learning rate.
<T extends TType> SparseApplyRmsProp<T>	TrainOps.sparseApplyRmsProp(Operand<T> var, Operand<T> ms, Operand<T> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, SparseApplyRmsProp.Options... options) Update '*var' according to the RMSProp algorithm.
<T extends TType> SparseConcat<T>	SparseOps.sparseConcat(Iterable<Operand<TInt64>> indices, Iterable<Operand<T>> values, Iterable<Operand<TInt64>> shapes, Long concatDim) Concatenates a list of SparseTensor along the specified dimension.
<T extends TType> SparseConditionalAccumulator	SparseOps.sparseConditionalAccumulator(Class<T> dtype, org.tensorflow.ndarray.Shape shape, SparseConditionalAccumulator.Options... options) A conditional accumulator for aggregating sparse gradients.
<T extends TType> SparseDenseCwiseAdd<T>	SparseOps.sparseDenseCwiseAdd(Operand<TInt64> spIndices, Operand<T> spValues, Operand<TInt64> spShape, Operand<T> dense) 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.
<T extends TType> SparseDenseCwiseDiv<T>	SparseOps.sparseDenseCwiseDiv(Operand<TInt64> spIndices, Operand<T> spValues, Operand<TInt64> spShape, Operand<T> dense) Component-wise divides a SparseTensor by a dense Tensor.
<T extends TType> SparseDenseCwiseMul<T>	SparseOps.sparseDenseCwiseMul(Operand<TInt64> spIndices, Operand<T> spValues, Operand<TInt64> spShape, Operand<T> dense) Component-wise multiplies a SparseTensor by a dense Tensor.
<T extends TType> SparseFillEmptyRows<T>	SparseOps.sparseFillEmptyRows(Operand<TInt64> indices, Operand<T> values, Operand<TInt64> denseShape, Operand<T> defaultValue) Fills empty rows in the input 2-D SparseTensor with a default value.
<T extends TType> SparseFillEmptyRowsGrad<T>	SparseOps.sparseFillEmptyRowsGrad(Operand<TInt64> reverseIndexMap, Operand<T> gradValues) The gradient of SparseFillEmptyRows.
<T extends TType> SparseReduceSum<T>	SparseOps.sparseReduceSum(Operand<TInt64> inputIndices, Operand<T> inputValues, Operand<TInt64> inputShape, Operand<TInt32> reductionAxes, SparseReduceSum.Options... options) Computes the sum of elements across dimensions of a SparseTensor.
<T extends TType> SparseReduceSumSparse<T>	SparseOps.sparseReduceSumSparse(Operand<TInt64> inputIndices, Operand<T> inputValues, Operand<TInt64> inputShape, Operand<TInt32> reductionAxes, SparseReduceSumSparse.Options... options) Computes the sum of elements across dimensions of a SparseTensor.
<T extends TType> SparseReorder<T>	SparseOps.sparseReorder(Operand<TInt64> inputIndices, Operand<T> inputValues, Operand<TInt64> inputShape) Reorders a SparseTensor into the canonical, row-major ordering.
<T extends TType> SparseSlice<T>	SparseOps.sparseSlice(Operand<TInt64> indices, Operand<T> values, Operand<TInt64> shape, Operand<TInt64> start, Operand<TInt64> sizeOutput) Slice a SparseTensor based on the start and size.
<T extends TType> SparseSliceGrad<T>	SparseOps.sparseSliceGrad(Operand<T> backpropValGrad, Operand<TInt64> inputIndices, Operand<TInt64> inputStart, Operand<TInt64> outputIndices) The gradient operator for the SparseSlice op.
<T extends TType> SparseSparseMinimum<T>	SparseOps.sparseSparseMinimum(Operand<TInt64> aIndices, Operand<T> aValues, Operand<TInt64> aShape, Operand<TInt64> bIndices, Operand<T> bValues, Operand<TInt64> bShape) Returns the element-wise min of two SparseTensors.
<T extends TType> SparseSplit<T>	SparseOps.sparseSplit(Operand<TInt64> splitDim, Operand<TInt64> indices, Operand<T> values, Operand<TInt64> shape, Long numSplit) Split a SparseTensor into num_split tensors along one dimension.
<U extends TType,T extends TNumber> SparseTensorDenseAdd<U>	SparseOps.sparseTensorDenseAdd(Operand<T> aIndices, Operand<U> aValues, Operand<T> aShape, Operand<U> b) Adds up a SparseTensor and a dense Tensor, producing a dense Tensor.
<U extends TType> SparseTensorDenseMatMul<U>	SparseOps.sparseTensorDenseMatMul(Operand<? extends TNumber> aIndices, Operand<U> aValues, Operand<TInt64> aShape, Operand<U> b, SparseTensorDenseMatMul.Options... options) Multiply SparseTensor (of rank 2) "A" by dense matrix "B".
<U extends TType,T extends TNumber> SparseToDense<U>	SparseOps.sparseToDense(Operand<T> sparseIndices, Operand<T> outputShape, Operand<U> sparseValues, Operand<U> defaultValue, SparseToDense.Options... options) Converts a sparse representation into a dense tensor.
<T extends TType> SparseToSparseSetOperation<T>	SparseOps.sparseToSparseSetOperation(Operand<TInt64> set1Indices, Operand<T> set1Values, Operand<TInt64> set1Shape, Operand<TInt64> set2Indices, Operand<T> set2Values, Operand<TInt64> set2Shape, String setOperation, SparseToSparseSetOperation.Options... options) Applies set operation along last dimension of 2 SparseTensor inputs.
<T extends TType> Split<T>	Ops.split(Operand<TInt32> axis, Operand<T> value, Long numSplit) Splits a tensor into num_split tensors along one dimension.
<T extends TType> SplitV<T>	Ops.splitV(Operand<T> value, Operand<? extends TNumber> sizeSplits, Operand<TInt32> axis, Long numSplit) Splits a tensor into num_split tensors along one dimension.
<T extends TType> SpmdFullToShardShape<T>	XlaOps.spmdFullToShardShape(Operand<T> input, String manualSharding, SpmdFullToShardShape.Options... options) An op used by XLA SPMD partitioner to switch from automatic partitioning to manual partitioning.
<T extends TType> SpmdShardToFullShape<T>	XlaOps.spmdShardToFullShape(Operand<T> input, String manualSharding, org.tensorflow.ndarray.Shape fullShape, SpmdShardToFullShape.Options... options) An op used by XLA SPMD partitioner to switch from manual partitioning to automatic partitioning.
<T extends TType> Sqrt<T>	MathOps.sqrt(Operand<T> x) Computes square root of x element-wise.
<T extends TType> Sqrtm<T>	LinalgOps.sqrtm(Operand<T> input) Computes the matrix square root of one or more square matrices: matmul(sqrtm(A), sqrtm(A)) = A
<T extends TType> Square<T>	MathOps.square(Operand<T> x) Computes square of x element-wise.
<T extends TType> SquaredDifference<T>	MathOps.squaredDifference(Operand<T> x, Operand<T> y) Returns conj(x - y)(x - y) element-wise.
<T extends TType> Squeeze<T>	Ops.squeeze(Operand<T> input, Squeeze.Options... options) Removes dimensions of size 1 from the shape of a tensor.
<T extends TType> Stack<T>	Ops.stack(Iterable<Operand<T>> values, Stack.Options... options) Packs a list of N rank-R tensors into one rank-(R+1) tensor.
<U extends TType> StatefulStandardNormal<U>	RandomOps.statefulStandardNormal(Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TType> shape, Class<U> dtype) Outputs random values from a normal distribution.
<T extends TType> StopGradient<T>	Ops.stopGradient(Operand<T> input) Stops gradient computation.
<T extends TType> StridedSlice<T>	Ops.stridedSlice(Operand<T> input, org.tensorflow.ndarray.index.Index... indices) Return a strided slice from `input`.
<T extends TType,U extends TNumber> StridedSlice<T>	Ops.stridedSlice(Operand<T> input, Operand<U> begin, Operand<U> end, Operand<U> strides, StridedSlice.Options... options) Return a strided slice from input.
<T extends TType> StridedSliceAssign<T>	Ops.stridedSliceAssign(Operand<T> ref, Operand<T> value, org.tensorflow.ndarray.index.Index... indices) Assign `value` to the sliced l-value reference of `ref`.
<T extends TType,U extends TNumber> StridedSliceAssign<T>	Ops.stridedSliceAssign(Operand<T> ref, Operand<U> begin, Operand<U> end, Operand<U> strides, Operand<T> value, StridedSliceAssign.Options... options) Assign value to the sliced l-value reference of ref.
<U extends TType,T extends TNumber> StridedSliceGrad<U>	Ops.stridedSliceGrad(Operand<T> shape, Operand<T> begin, Operand<T> end, Operand<T> strides, Operand<U> dy, StridedSliceGrad.Options... options) Returns the gradient of StridedSlice.
<T extends TType> Sub<T>	MathOps.sub(Operand<T> x, Operand<T> y) Returns x - y element-wise.
<T extends TType> Sum<T>	Ops.sum(Operand<T> input, Operand<? extends TNumber> axis, Sum.Options... options) Computes the sum of elements across dimensions of a tensor.
<T extends TType> Svd<T>	XlaOps.svd(Operand<T> a, Long maxIter, Float epsilon, String precisionConfig) Computes the eigen decomposition of a batch of self-adjoint matrices (Note: Only real inputs are supported).
<T extends TType> Svd<T>	LinalgOps.svd(Operand<T> input, Svd.Options... options) Computes the singular value decompositions of one or more matrices.
<T extends TType> SwitchCond<T>	Ops.switchCond(Operand<T> data, Operand<TBool> pred) Forwards data to the output port determined by pred.
<T extends TType> TakeManySparseFromTensorsMap<T>	SparseOps.takeManySparseFromTensorsMap(Operand<TInt64> sparseHandles, Class<T> dtype, TakeManySparseFromTensorsMap.Options... options) Read SparseTensors from a SparseTensorsMap and concatenate them.
<T extends TType> Tan<T>	MathOps.tan(Operand<T> x) Computes tan of x element-wise.
<T extends TType> Tanh<T>	MathOps.tanh(Operand<T> x) Computes hyperbolic tangent of x element-wise.
<T extends TType> TemporaryVariable<T>	Ops.temporaryVariable(org.tensorflow.ndarray.Shape shape, Class<T> dtype, TemporaryVariable.Options... options) Returns a tensor that may be mutated, but only persists within a single step.
<T extends TType> TensorArray	Ops.tensorArray(Operand<TInt32> sizeOutput, Class<T> dtype, TensorArray.Options... options) An array of Tensors of given size.
<T extends TType> TensorArrayConcat<T>	Ops.tensorArrayConcat(Operand<? extends TType> handle, Operand<TFloat32> flowIn, Class<T> dtype, TensorArrayConcat.Options... options) Concat the elements from the TensorArray into value value.
<T extends TType> TensorArrayGather<T>	Ops.tensorArrayGather(Operand<? extends TType> handle, Operand<TInt32> indices, Operand<TFloat32> flowIn, Class<T> dtype, TensorArrayGather.Options... options) Gather specific elements from the TensorArray into output value.
<T extends TType> TensorArrayPack<T>	Ops.tensorArrayPack(Operand<TString> handle, Operand<TFloat32> flowIn, Class<T> dtype, TensorArrayPack.Options... options) The TensorArrayPack operation
<T extends TType> TensorArrayRead<T>	Ops.tensorArrayRead(Operand<? extends TType> handle, Operand<TInt32> index, Operand<TFloat32> flowIn, Class<T> dtype) Read an element from the TensorArray into output value.
<T extends TType> TensorDiag<T>	LinalgOps.tensorDiag(Operand<T> diagonal) Returns a diagonal tensor with a given diagonal values.
<T extends TType> TensorDiagPart<T>	LinalgOps.tensorDiagPart(Operand<T> input) Returns the diagonal part of the tensor.
<U extends TType> TensorListConcat<U>	Ops.tensorListConcat(Operand<? extends TType> inputHandle, Operand<? extends TNumber> elementShape, Operand<TInt64> leadingDims, Class<U> elementDtype) Concats all tensors in the list along the 0th dimension.
<T extends TType> TensorListConcatLists	Ops.tensorListConcatLists(Operand<? extends TType> inputA, Operand<? extends TType> inputB, Class<T> elementDtype) The TensorListConcatLists operation
<T extends TType> TensorListGather<T>	Ops.tensorListGather(Operand<? extends TType> inputHandle, Operand<TInt32> indices, Operand<TInt32> elementShape, Class<T> elementDtype) Creates a Tensor by indexing into the TensorList.
<T extends TType> TensorListGetItem<T>	Ops.tensorListGetItem(Operand<? extends TType> inputHandle, Operand<TInt32> index, Operand<TInt32> elementShape, Class<T> elementDtype) The TensorListGetItem operation
<T extends TType> TensorListPopBack<T>	Ops.tensorListPopBack(Operand<? extends TType> inputHandle, Operand<TInt32> elementShape, Class<T> elementDtype) Returns the last element of the input list as well as a list with all but that element.
<U extends TType> TensorListReserve	Ops.tensorListReserve(Operand<? extends TNumber> elementShape, Operand<TInt32> numElements, Class<U> elementDtype) List of the given size with empty elements.
<T extends TType> TensorListStack<T>	Ops.tensorListStack(Operand<? extends TType> inputHandle, Operand<TInt32> elementShape, Class<T> elementDtype, TensorListStack.Options... options) Stacks all tensors in the list.
<U extends TType> TensorMapErase	Ops.tensorMapErase(Operand<? extends TType> inputHandle, Operand<? extends TType> key, Class<U> valueDtype) Returns a tensor map with item from given key erased.
<U extends TType> TensorMapLookup<U>	Ops.tensorMapLookup(Operand<? extends TType> inputHandle, Operand<? extends TType> key, Class<U> valueDtype) Returns the value from a given key in a tensor map.
<T extends TType> TensorMapStackKeys<T>	Ops.tensorMapStackKeys(Operand<? extends TType> inputHandle, Class<T> keyDtype) Returns a Tensor stack of all keys in a tensor map.
<T extends TType> TensorScatterNdAdd<T>	Ops.tensorScatterNdAdd(Operand<T> tensor, Operand<? extends TNumber> indices, Operand<T> updates) Adds sparse updates to an existing tensor according to indices.
<T extends TType> TensorScatterNdMax<T>	Ops.tensorScatterNdMax(Operand<T> tensor, Operand<? extends TNumber> indices, Operand<T> updates) The TensorScatterMax operation
<T extends TType> TensorScatterNdMin<T>	Ops.tensorScatterNdMin(Operand<T> tensor, Operand<? extends TNumber> indices, Operand<T> updates) The TensorScatterMin operation
<T extends TType> TensorScatterNdSub<T>	Ops.tensorScatterNdSub(Operand<T> tensor, Operand<? extends TNumber> indices, Operand<T> updates) Subtracts sparse updates from an existing tensor according to indices.
<T extends TType> TensorScatterNdUpdate<T>	Ops.tensorScatterNdUpdate(Operand<T> tensor, Operand<? extends TNumber> indices, Operand<T> updates) Scatter updates into an existing tensor according to indices.
<T extends TType,U extends TNumber> TensorStridedSliceUpdate<T>	Ops.tensorStridedSliceUpdate(Operand<T> input, Operand<U> begin, Operand<U> end, Operand<U> strides, Operand<T> value, TensorStridedSliceUpdate.Options... options) Assign value to the sliced l-value reference of input.
<T extends TType> Tile<T>	Ops.tile(Operand<T> input, Operand<? extends TNumber> multiples) Constructs a tensor by tiling a given tensor.
<T extends TType> TileGrad<T>	TrainOps.tileGrad(Operand<T> input, Operand<TInt32> multiples) Returns the gradient of Tile.
static <T extends TType> DataType	Operands.toDataType(Class<? extends T> type) Converts a tensor type class to a DataType attribute.
static <T extends TType> DataType[]	Operands.toDataTypes(Collection<Class<? extends T>> types) Converts a list of tensor type classes to an array of DataType attributes.
<T extends TType> Transpose<T>	LinalgOps.transpose(Operand<T> x, Operand<? extends TNumber> perm) Shuffle dimensions of x according to a permutation.
<T extends TType> TriangularSolve<T>	LinalgOps.triangularSolve(Operand<T> matrix, Operand<T> rhs, TriangularSolve.Options... options) Solves systems of linear equations with upper or lower triangular matrices by backsubstitution.
<T extends TType> TruncateDiv<T>	MathOps.truncateDiv(Operand<T> x, Operand<T> y) Returns x / y element-wise for integer types.
<T extends TType> Unbatch<T>	Ops.unbatch(Operand<T> batchedTensor, Operand<TInt64> batchIndex, Operand<TInt64> id, Long timeoutMicros, Unbatch.Options... options) Reverses the operation of Batch for a single output Tensor.
<T extends TType> UnbatchGrad<T>	Ops.unbatchGrad(Operand<T> originalInput, Operand<TInt64> batchIndex, Operand<T> grad, Operand<TInt64> id, UnbatchGrad.Options... options) Gradient of Unbatch.
<T extends TType> Unique<T,TInt32>	Ops.unique(Operand<T> x, Operand<? extends TNumber> axis) Finds unique elements along an axis of a tensor.
<T extends TType,V extends TNumber> Unique<T,V>	Ops.unique(Operand<T> x, Operand<? extends TNumber> axis, Class<V> outIdx) Finds unique elements along an axis of a tensor.
<T extends TType> UniqueWithCounts<T,TInt32>	Ops.uniqueWithCounts(Operand<T> x, Operand<? extends TNumber> axis) Finds unique elements along an axis of a tensor.
<T extends TType,V extends TNumber> UniqueWithCounts<T,V>	Ops.uniqueWithCounts(Operand<T> x, Operand<? extends TNumber> axis, Class<V> outIdx) Finds unique elements along an axis of a tensor.
<T extends TType> UnsortedSegmentProd<T>	MathOps.unsortedSegmentProd(Operand<T> data, Operand<? extends TNumber> segmentIds, Operand<? extends TNumber> numSegments) Computes the product along segments of a tensor.
<T extends TType> UnsortedSegmentSum<T>	MathOps.unsortedSegmentSum(Operand<T> data, Operand<? extends TNumber> segmentIds, Operand<? extends TNumber> numSegments) Computes the sum along segments of a tensor.
<T extends TType> Unstack<T>	Ops.unstack(Operand<T> value, Long num, Unstack.Options... options) Unpacks a given dimension of a rank-R tensor into num rank-(R-1) tensors.
<T extends TType> VarHandleOp	Ops.varHandleOp(Class<T> dtype, org.tensorflow.ndarray.Shape shape, VarHandleOp.Options... options) Creates a handle to a Variable resource.
<T extends TType> Variable<T>	Ops.variable(Operand<T> init, Variable.Options... options) Factory method to create a new Variable with its initializer.
<T extends TType> Variable<T>	Ops.variable(org.tensorflow.ndarray.Shape shape, Class<T> dtype, Variable.Options... options) Holds state in the form of a tensor that persists across steps.
<T extends TType> Xdivy<T>	MathOps.xdivy(Operand<T> x, Operand<T> y) Returns 0 if x == 0, and x / y otherwise, elementwise.
<T extends TType> XlaRecvFromHost<T>	XlaOps.xlaRecvFromHost(Class<T> Toutput, org.tensorflow.ndarray.Shape shape, String key) An op to receive a tensor from the host.
<T extends TType> Xlog1py<T>	MathOps.xlog1py(Operand<T> x, Operand<T> y) Returns 0 if x == 0, and x * log1p(y) otherwise, elementwise.
<T extends TType> Xlogy<T>	MathOps.xlogy(Operand<T> x, Operand<T> y) Returns 0 if x == 0, and x * log(y) otherwise, elementwise.
<T extends TType> Zeros<T>	Ops.zeros(Operand<? extends TNumber> dims, Class<T> type) Creates a zeroed tensor given its type and shape.
<T extends TType> ZerosLike<T>	Ops.zerosLike(Operand<T> x) Returns a tensor of zeros with the same shape and type as x.

Method parameters in org.tensorflow.op with type arguments of type TType

Modifier and Type	Method and Description
AccumulatorApplyGradient	TrainOps.accumulatorApplyGradient(Operand<TString> handle, Operand<TInt64> localStep, Operand<? extends TType> gradient) Applies a gradient to a given accumulator.
AddManySparseToTensorsMap	SparseOps.addManySparseToTensorsMap(Operand<TInt64> sparseIndices, Operand<? extends TType> sparseValues, Operand<TInt64> sparseShape, AddManySparseToTensorsMap.Options... options) Add an N-minibatch SparseTensor to a SparseTensorsMap, return N handles.
AddSparseToTensorsMap	SparseOps.addSparseToTensorsMap(Operand<TInt64> sparseIndices, Operand<? extends TType> sparseValues, Operand<TInt64> sparseShape, AddSparseToTensorsMap.Options... options) Add a SparseTensor to a SparseTensorsMap return its handle.
Angle<TFloat32>	MathOps.angle(Operand<? extends TType> input) Returns the argument of a complex number.
<U extends TNumber> Angle<U>	MathOps.angle(Operand<? extends TType> input, Class<U> Tout) Returns the argument of a complex number.
AnonymousIterator	DataOps.anonymousIterator(List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) A container for an iterator resource.
ArgMax<TInt64>	MathOps.argMax(Operand<? extends TType> input, Operand<? extends TNumber> dimension) Returns the index with the largest value across dimensions of a tensor.
<V extends TNumber> ArgMax<V>	MathOps.argMax(Operand<? extends TType> input, Operand<? extends TNumber> dimension, Class<V> outputType) Returns the index with the largest value across dimensions of a tensor.
ArgMin<TInt64>	MathOps.argMin(Operand<? extends TType> input, Operand<? extends TNumber> dimension) Returns the index with the smallest value across dimensions of a tensor.
<V extends TNumber> ArgMin<V>	MathOps.argMin(Operand<? extends TType> input, Operand<? extends TNumber> dimension, Class<V> outputType) Returns the index with the smallest value across dimensions of a tensor.
AssertCardinalityDataset	DataOps.assertCardinalityDataset(Operand<? extends TType> inputDataset, Operand<TInt64> cardinality, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) The AssertCardinalityDataset operation
AssertCardinalityDataset	DataOps.assertCardinalityDataset(Operand<? extends TType> inputDataset, Operand<TInt64> cardinality, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) The AssertCardinalityDataset operation
AssertNextDataset	DataOps.assertNextDataset(Operand<? extends TType> inputDataset, Operand<TString> transformations, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) A transformation that asserts which transformations happen next.
AssertNextDataset	DataOps.assertNextDataset(Operand<? extends TType> inputDataset, Operand<TString> transformations, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) A transformation that asserts which transformations happen next.
AssignAddVariableOp	Ops.assignAddVariableOp(Operand<? extends TType> resource, Operand<? extends TType> value) Adds a value to the current value of a variable.
AssignAddVariableOp	Ops.assignAddVariableOp(Operand<? extends TType> resource, Operand<? extends TType> value) Adds a value to the current value of a variable.
AssignSubVariableOp	Ops.assignSubVariableOp(Operand<? extends TType> resource, Operand<? extends TType> value) Subtracts a value from the current value of a variable.
AssignSubVariableOp	Ops.assignSubVariableOp(Operand<? extends TType> resource, Operand<? extends TType> value) Subtracts a value from the current value of a variable.
AssignVariableOp	Ops.assignVariableOp(Operand<? extends TType> resource, Operand<? extends TType> value) Assigns a new value to a variable.
AssignVariableOp	Ops.assignVariableOp(Operand<? extends TType> resource, Operand<? extends TType> value) Assigns a new value to a variable.
AsString	DtypesOps.asString(Operand<? extends TType> input, AsString.Options... options) Converts each entry in the given tensor to strings.
AutoShardDataset	DataOps.autoShardDataset(Operand<? extends TType> inputDataset, Operand<TInt64> numWorkers, Operand<TInt64> index, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, AutoShardDataset.Options... options) Creates a dataset that shards the input dataset.
AutoShardDataset	DataOps.autoShardDataset(Operand<? extends TType> inputDataset, Operand<TInt64> numWorkers, Operand<TInt64> index, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, AutoShardDataset.Options... options) Creates a dataset that shards the input dataset.
Barrier	Ops.barrier(List<Class<? extends TType>> componentTypes, Barrier.Options... options) Defines a barrier that persists across different graph executions.
BarrierInsertMany	Ops.barrierInsertMany(Operand<TString> handle, Operand<TString> keys, Operand<? extends TType> values, Long componentIndex) For each key, assigns the respective value to the specified component.
BarrierTakeMany	Ops.barrierTakeMany(Operand<TString> handle, Operand<TInt32> numElements, List<Class<? extends TType>> componentTypes, BarrierTakeMany.Options... options) Takes the given number of completed elements from a barrier.
BatchDataset	DataOps.batchDataset(Operand<? extends TType> inputDataset, Operand<TInt64> batchSize, Operand<TBool> dropRemainder, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, BatchDataset.Options... options) Creates a dataset that batches batch_size elements from input_dataset.
BatchDataset	DataOps.batchDataset(Operand<? extends TType> inputDataset, Operand<TInt64> batchSize, Operand<TBool> dropRemainder, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, BatchDataset.Options... options) Creates a dataset that batches batch_size elements from input_dataset.
BatchFft	SignalOps.batchFft(Operand<? extends TType> input) The BatchFFT operation
BatchFft2d	SignalOps.batchFft2d(Operand<? extends TType> input) The BatchFFT2D operation
BatchFft3d	SignalOps.batchFft3d(Operand<? extends TType> input) The BatchFFT3D operation
BatchFunction	Ops.batchFunction(Iterable<Operand<?>> inTensors, Iterable<Operand<?>> capturedTensors, ConcreteFunction f, Long numBatchThreads, Long maxBatchSize, Long batchTimeoutMicros, List<Class<? extends TType>> Tout, BatchFunction.Options... options) Batches all the inputs tensors to the computation done by the function.
BatchIfft	SignalOps.batchIfft(Operand<? extends TType> input) The BatchIFFT operation
BatchIfft2d	SignalOps.batchIfft2d(Operand<? extends TType> input) The BatchIFFT2D operation
BatchIfft3d	SignalOps.batchIfft3d(Operand<? extends TType> input) The BatchIFFT3D operation
<V extends TType> BatchMatMul<V>	TrainOps.batchMatMul(Operand<? extends TType> x, Operand<? extends TType> y, Class<V> Tout, BatchMatMul.Options... options) Multiplies slices of two tensors in batches.
<V extends TType> BatchMatMul<V>	TrainOps.batchMatMul(Operand<? extends TType> x, Operand<? extends TType> y, Class<V> Tout, BatchMatMul.Options... options) Multiplies slices of two tensors in batches.
<U extends TType> Bitcast<U>	Ops.bitcast(Operand<? extends TType> input, Class<U> type) Bitcasts a tensor from one type to another without copying data.
BytesProducedStatsDataset	DataOps.bytesProducedStatsDataset(Operand<? extends TType> inputDataset, Operand<TString> tag, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Records the bytes size of each element of input_dataset in a StatsAggregator.
BytesProducedStatsDataset	DataOps.bytesProducedStatsDataset(Operand<? extends TType> inputDataset, Operand<TString> tag, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Records the bytes size of each element of input_dataset in a StatsAggregator.
CacheDataset	DataOps.cacheDataset(Operand<? extends TType> inputDataset, Operand<TString> filename, Operand<? extends TType> cache, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, CacheDataset.Options... options) The CacheDatasetV2 operation
CacheDataset	DataOps.cacheDataset(Operand<? extends TType> inputDataset, Operand<TString> filename, Operand<? extends TType> cache, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, CacheDataset.Options... options) The CacheDatasetV2 operation
CacheDataset	DataOps.cacheDataset(Operand<? extends TType> inputDataset, Operand<TString> filename, Operand<? extends TType> cache, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, CacheDataset.Options... options) The CacheDatasetV2 operation
Case	Ops.caseOp(Operand<TInt32> branchIndex, Iterable<Operand<?>> input, List<Class<? extends TType>> Tout, List<ConcreteFunction> branches, Case.Options... options) An n-way switch statement which calls a single branch function.
<U extends TType> Cast<U>	DtypesOps.cast(Operand<? extends TType> x, Class<U> DstT, Cast.Options... options) Cast x of type SrcT to y of DstT.
ChooseFastestBranchDataset	DataOps.chooseFastestBranchDataset(Operand<? extends TType> inputDataset, Operand<TInt64> ratioNumerator, Operand<TInt64> ratioDenominator, Iterable<Operand<?>> otherArguments, Long numElementsPerBranch, List<ConcreteFunction> branches, List<Long> otherArgumentsLengths, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) The ChooseFastestBranchDataset operation
ChooseFastestBranchDataset	DataOps.chooseFastestBranchDataset(Operand<? extends TType> inputDataset, Operand<TInt64> ratioNumerator, Operand<TInt64> ratioDenominator, Iterable<Operand<?>> otherArguments, Long numElementsPerBranch, List<ConcreteFunction> branches, List<Long> otherArgumentsLengths, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) The ChooseFastestBranchDataset operation
ChooseFastestDataset	DataOps.chooseFastestDataset(Iterable<Operand<? extends TType>> inputDatasets, Long numExperiments, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) The ChooseFastestDataset operation
ChooseFastestDataset	DataOps.chooseFastestDataset(Iterable<Operand<? extends TType>> inputDatasets, Long numExperiments, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) The ChooseFastestDataset operation
ComplexAbs<TFloat32>	MathOps.complexAbs(Operand<? extends TType> x) Computes the complex absolute value of a tensor.
<U extends TNumber> ComplexAbs<U>	MathOps.complexAbs(Operand<? extends TType> x, Class<U> Tout) Computes the complex absolute value of a tensor.
ConcatenateDataset	DataOps.concatenateDataset(Operand<? extends TType> inputDataset, Operand<? extends TType> anotherDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ConcatenateDataset.Options... options) Creates a dataset that concatenates input_dataset with another_dataset.
ConcatenateDataset	DataOps.concatenateDataset(Operand<? extends TType> inputDataset, Operand<? extends TType> anotherDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ConcatenateDataset.Options... options) Creates a dataset that concatenates input_dataset with another_dataset.
ConcatenateDataset	DataOps.concatenateDataset(Operand<? extends TType> inputDataset, Operand<? extends TType> anotherDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ConcatenateDataset.Options... options) Creates a dataset that concatenates input_dataset with another_dataset.
ConsumeMutexLock	Ops.consumeMutexLock(Operand<? extends TType> mutexLock) This op consumes a lock created by MutexLock.
<W extends TType,V extends TNumber> Conv<W>	XlaOps.conv(Operand<? extends TType> lhs, Operand<? extends TType> rhs, Operand<V> windowStrides, Operand<V> padding, Operand<V> lhsDilation, Operand<V> rhsDilation, Operand<V> featureGroupCount, String dimensionNumbers, String precisionConfig, Class<W> preferredElementType) Wraps the XLA ConvGeneralDilated operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#conv_convolution .
<W extends TType,V extends TNumber> Conv<W>	XlaOps.conv(Operand<? extends TType> lhs, Operand<? extends TType> rhs, Operand<V> windowStrides, Operand<V> padding, Operand<V> lhsDilation, Operand<V> rhsDilation, Operand<V> featureGroupCount, String dimensionNumbers, String precisionConfig, Class<W> preferredElementType) Wraps the XLA ConvGeneralDilated operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#conv_convolution .
DataServiceDatasetV2	DataOps.dataServiceDatasetV2(Operand<TInt64> datasetId, Operand<TString> processingMode, Operand<TString> address, Operand<TString> protocol, Operand<TString> jobName, Operand<TInt64> consumerIndex, Operand<TInt64> numConsumers, Operand<TInt64> maxOutstandingRequests, Operand<? extends TType> iterationCounter, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, DataServiceDatasetV2.Options... options) Creates a dataset that reads data from the tf.data service.
DataServiceDatasetV2	DataOps.dataServiceDatasetV2(Operand<TInt64> datasetId, Operand<TString> processingMode, Operand<TString> address, Operand<TString> protocol, Operand<TString> jobName, Operand<TInt64> consumerIndex, Operand<TInt64> numConsumers, Operand<TInt64> maxOutstandingRequests, Operand<? extends TType> iterationCounter, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, DataServiceDatasetV2.Options... options) Creates a dataset that reads data from the tf.data service.
DatasetCardinality	DataOps.datasetCardinality(Operand<? extends TType> inputDataset) Returns the cardinality of input_dataset.
DatasetToGraph	DataOps.datasetToGraph(Operand<? extends TType> inputDataset, DatasetToGraph.Options... options) Returns a serialized GraphDef representing input_dataset.
DatasetToSingleElement	DataOps.datasetToSingleElement(Operand<? extends TType> dataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, DatasetToSingleElement.Options... options) Outputs the single element from the given dataset.
DatasetToSingleElement	DataOps.datasetToSingleElement(Operand<? extends TType> dataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, DatasetToSingleElement.Options... options) Outputs the single element from the given dataset.
DatasetToTfRecord	DataOps.datasetToTfRecord(Operand<? extends TType> inputDataset, Operand<TString> filename, Operand<TString> compressionType) Writes the given dataset to the given file using the TFRecord format.
DecodeProto	Ops.decodeProto(Operand<TString> bytes, String messageType, List<String> fieldNames, List<Class<? extends TType>> outputTypes, DecodeProto.Options... options) The op extracts fields from a serialized protocol buffers message into tensors.
DeleteIterator	DataOps.deleteIterator(Operand<? extends TType> handle, Operand<? extends TType> deleter) A container for an iterator resource.
DeleteIterator	DataOps.deleteIterator(Operand<? extends TType> handle, Operand<? extends TType> deleter) A container for an iterator resource.
DenseToSparseBatchDataset	DataOps.denseToSparseBatchDataset(Operand<? extends TType> inputDataset, Operand<TInt64> batchSize, Operand<TInt64> rowShape, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Creates a dataset that batches input elements into a SparseTensor.
DenseToSparseBatchDataset	DataOps.denseToSparseBatchDataset(Operand<? extends TType> inputDataset, Operand<TInt64> batchSize, Operand<TInt64> rowShape, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Creates a dataset that batches input elements into a SparseTensor.
Dequantize	XlaOps.dequantize(Operand<? extends TType> input, Float minRange, Float maxRange, String mode, Boolean transposeOutput) Takes the packed uint32 input and unpacks the input to uint8 to do Dequantization on device.
DeserializeIterator	DataOps.deserializeIterator(Operand<? extends TType> resourceHandle, Operand<? extends TType> serialized) Converts the given variant tensor to an iterator and stores it in the given resource.
DeserializeIterator	DataOps.deserializeIterator(Operand<? extends TType> resourceHandle, Operand<? extends TType> serialized) Converts the given variant tensor to an iterator and stores it in the given resource.
<U extends TType> DeserializeSparse<U>	SparseOps.deserializeSparse(Operand<? extends TType> serializedSparse, Class<U> dtype) Deserialize SparseTensor objects.
DestroyResourceOp	Ops.destroyResourceOp(Operand<? extends TType> resource, DestroyResourceOp.Options... options) Deletes the resource specified by the handle.
DirectedInterleaveDataset	DataOps.directedInterleaveDataset(Operand<? extends TType> selectorInputDataset, Iterable<Operand<? extends TType>> dataInputDatasets, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, DirectedInterleaveDataset.Options... options) A substitute for InterleaveDataset on a fixed list of N datasets.
DirectedInterleaveDataset	DataOps.directedInterleaveDataset(Operand<? extends TType> selectorInputDataset, Iterable<Operand<? extends TType>> dataInputDatasets, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, DirectedInterleaveDataset.Options... options) A substitute for InterleaveDataset on a fixed list of N datasets.
DirectedInterleaveDataset	DataOps.directedInterleaveDataset(Operand<? extends TType> selectorInputDataset, Iterable<Operand<? extends TType>> dataInputDatasets, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, DirectedInterleaveDataset.Options... options) A substitute for InterleaveDataset on a fixed list of N datasets.
<V extends TType> Dot<V>	XlaOps.dot(Operand<? extends TType> lhs, Operand<? extends TType> rhs, String dimensionNumbers, String precisionConfig, Class<V> preferredElementType) Wraps the XLA DotGeneral operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#dotgeneral .
<V extends TType> Dot<V>	XlaOps.dot(Operand<? extends TType> lhs, Operand<? extends TType> rhs, String dimensionNumbers, String precisionConfig, Class<V> preferredElementType) Wraps the XLA DotGeneral operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#dotgeneral .
<U extends TType> Eig<U>	LinalgOps.eig(Operand<? extends TType> input, Class<U> Tout, Eig.Options... options) Computes the eigen decomposition of one or more square matrices.
Execute	TpuOps.execute(Iterable<Operand<?>> args, Operand<TString> key, List<Class<? extends TType>> Tresults) Op that loads and executes a TPU program on a TPU device.
ExecuteAndUpdateVariables	TpuOps.executeAndUpdateVariables(Iterable<Operand<?>> args, Operand<TString> key, List<Class<? extends TType>> Tresults, List<Long> deviceVarReadsIndices, List<Long> deviceVarUpdatesIndices) Op that executes a program with optional in-place variable updates.
FifoQueue	IoOps.fifoQueue(List<Class<? extends TType>> componentTypes, FifoQueue.Options... options) A queue that produces elements in first-in first-out order.
FilterByLastComponentDataset	DataOps.filterByLastComponentDataset(Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Creates a dataset containing elements of first component of input_dataset having true in the last component.
FilterByLastComponentDataset	DataOps.filterByLastComponentDataset(Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Creates a dataset containing elements of first component of input_dataset having true in the last component.
FilterDataset	DataOps.filterDataset(Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, ConcreteFunction predicate, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, FilterDataset.Options... options) Creates a dataset containing elements of input_dataset matching predicate.
FilterDataset	DataOps.filterDataset(Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, ConcreteFunction predicate, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, FilterDataset.Options... options) Creates a dataset containing elements of input_dataset matching predicate.
FinalizeDataset	DataOps.finalizeDataset(Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, FinalizeDataset.Options... options) Creates a dataset by applying tf.data.Options to input_dataset.
FinalizeDataset	DataOps.finalizeDataset(Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, FinalizeDataset.Options... options) Creates a dataset by applying tf.data.Options to input_dataset.
Fingerprint	Ops.fingerprint(Operand<? extends TType> data, Operand<TString> method) Generates fingerprint values.
FlatMapDataset	DataOps.flatMapDataset(Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, FlatMapDataset.Options... options) Creates a dataset that applies f to the outputs of input_dataset.
FlatMapDataset	DataOps.flatMapDataset(Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, FlatMapDataset.Options... options) Creates a dataset that applies f to the outputs of input_dataset.
GeneratorDataset	DataOps.generatorDataset(Iterable<Operand<?>> initFuncOtherArgs, Iterable<Operand<?>> nextFuncOtherArgs, Iterable<Operand<?>> finalizeFuncOtherArgs, ConcreteFunction initFunc, ConcreteFunction nextFunc, ConcreteFunction finalizeFunc, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, GeneratorDataset.Options... options) Creates a dataset that invokes a function to generate elements.
GetSessionHandle	Ops.getSessionHandle(Operand<? extends TType> value) Store the input tensor in the state of the current session.
GroupByReducerDataset	DataOps.groupByReducerDataset(Operand<? extends TType> inputDataset, Iterable<Operand<?>> keyFuncOtherArguments, Iterable<Operand<?>> initFuncOtherArguments, Iterable<Operand<?>> reduceFuncOtherArguments, Iterable<Operand<?>> finalizeFuncOtherArguments, ConcreteFunction keyFunc, ConcreteFunction initFunc, ConcreteFunction reduceFunc, ConcreteFunction finalizeFunc, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Creates a dataset that computes a group-by on input_dataset.
GroupByReducerDataset	DataOps.groupByReducerDataset(Operand<? extends TType> inputDataset, Iterable<Operand<?>> keyFuncOtherArguments, Iterable<Operand<?>> initFuncOtherArguments, Iterable<Operand<?>> reduceFuncOtherArguments, Iterable<Operand<?>> finalizeFuncOtherArguments, ConcreteFunction keyFunc, ConcreteFunction initFunc, ConcreteFunction reduceFunc, ConcreteFunction finalizeFunc, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Creates a dataset that computes a group-by on input_dataset.
GroupByWindowDataset	DataOps.groupByWindowDataset(Operand<? extends TType> inputDataset, Iterable<Operand<?>> keyFuncOtherArguments, Iterable<Operand<?>> reduceFuncOtherArguments, Iterable<Operand<?>> windowSizeFuncOtherArguments, ConcreteFunction keyFunc, ConcreteFunction reduceFunc, ConcreteFunction windowSizeFunc, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, GroupByWindowDataset.Options... options) Creates a dataset that computes a windowed group-by on input_dataset.
GroupByWindowDataset	DataOps.groupByWindowDataset(Operand<? extends TType> inputDataset, Iterable<Operand<?>> keyFuncOtherArguments, Iterable<Operand<?>> reduceFuncOtherArguments, Iterable<Operand<?>> windowSizeFuncOtherArguments, ConcreteFunction keyFunc, ConcreteFunction reduceFunc, ConcreteFunction windowSizeFunc, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, GroupByWindowDataset.Options... options) Creates a dataset that computes a windowed group-by on input_dataset.
If	XlaOps.ifOp(Operand<? extends TType> cond, Iterable<Operand<?>> inputs, ConcreteFunction thenBranch, ConcreteFunction elseBranch, List<Class<? extends TType>> Tout) output = cond ? then_branch(inputs) : else_branch(inputs).
If	XlaOps.ifOp(Operand<? extends TType> cond, Iterable<Operand<?>> inputs, ConcreteFunction thenBranch, ConcreteFunction elseBranch, List<Class<? extends TType>> Tout) output = cond ? then_branch(inputs) : else_branch(inputs).
If	Ops.ifOp(Operand<? extends TType> cond, Iterable<Operand<?>> input, List<Class<? extends TType>> Tout, ConcreteFunction thenBranch, ConcreteFunction elseBranch, If.Options... options) output = cond ? then_branch(input) : else_branch(input)
If	Ops.ifOp(Operand<? extends TType> cond, Iterable<Operand<?>> input, List<Class<? extends TType>> Tout, ConcreteFunction thenBranch, ConcreteFunction elseBranch, If.Options... options) output = cond ? then_branch(input) : else_branch(input)
IgnoreErrorsDataset	DataOps.ignoreErrorsDataset(Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, IgnoreErrorsDataset.Options... options) Creates a dataset that contains the elements of input_dataset ignoring errors.
IgnoreErrorsDataset	DataOps.ignoreErrorsDataset(Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, IgnoreErrorsDataset.Options... options) Creates a dataset that contains the elements of input_dataset ignoring errors.
Imag<TFloat32>	MathOps.imag(Operand<? extends TType> input) Returns the imaginary part of a complex number.
<U extends TNumber> Imag<U>	MathOps.imag(Operand<? extends TType> input, Class<U> Tout) Returns the imaginary part of a complex number.
InitializeTable	Ops.initializeTable(Operand<? extends TType> tableHandle, Operand<? extends TType> keys, Operand<? extends TType> values) Table initializer that takes two tensors for keys and values respectively.
InitializeTable	Ops.initializeTable(Operand<? extends TType> tableHandle, Operand<? extends TType> keys, Operand<? extends TType> values) Table initializer that takes two tensors for keys and values respectively.
InitializeTable	Ops.initializeTable(Operand<? extends TType> tableHandle, Operand<? extends TType> keys, Operand<? extends TType> values) Table initializer that takes two tensors for keys and values respectively.
InitializeTableFromDataset	DataOps.initializeTableFromDataset(Operand<? extends TType> tableHandle, Operand<? extends TType> dataset) The InitializeTableFromDataset operation
InitializeTableFromDataset	DataOps.initializeTableFromDataset(Operand<? extends TType> tableHandle, Operand<? extends TType> dataset) The InitializeTableFromDataset operation
InitializeTableFromTextFile	Ops.initializeTableFromTextFile(Operand<? extends TType> tableHandle, Operand<TString> filename, Long keyIndex, Long valueIndex, InitializeTableFromTextFile.Options... options) Initializes a table from a text file.
InterleaveDataset	DataOps.interleaveDataset(Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, Operand<TInt64> cycleLength, Operand<TInt64> blockLength, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, InterleaveDataset.Options... options) Creates a dataset that applies f to the outputs of input_dataset.
InterleaveDataset	DataOps.interleaveDataset(Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, Operand<TInt64> cycleLength, Operand<TInt64> blockLength, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, InterleaveDataset.Options... options) Creates a dataset that applies f to the outputs of input_dataset.
Irfft<TFloat32>	SignalOps.irfft(Operand<? extends TType> input, Operand<TInt32> fftLength) Inverse real-valued fast Fourier transform.
<U extends TNumber> Irfft<U>	SignalOps.irfft(Operand<? extends TType> input, Operand<TInt32> fftLength, Class<U> Treal) Inverse real-valued fast Fourier transform.
Irfft2d<TFloat32>	SignalOps.irfft2d(Operand<? extends TType> input, Operand<TInt32> fftLength) Inverse 2D real-valued fast Fourier transform.
<U extends TNumber> Irfft2d<U>	SignalOps.irfft2d(Operand<? extends TType> input, Operand<TInt32> fftLength, Class<U> Treal) Inverse 2D real-valued fast Fourier transform.
Irfft3d<TFloat32>	SignalOps.irfft3d(Operand<? extends TType> input, Operand<TInt32> fftLength) Inverse 3D real-valued fast Fourier transform.
<U extends TNumber> Irfft3d<U>	SignalOps.irfft3d(Operand<? extends TType> input, Operand<TInt32> fftLength, Class<U> Treal) Inverse 3D real-valued fast Fourier transform.
IsVariableInitialized	Ops.isVariableInitialized(Operand<? extends TType> ref) Checks whether a tensor has been initialized.
Iterator	DataOps.iterator(String sharedName, String container, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) The IteratorV2 operation
IteratorGetNext	DataOps.iteratorGetNext(Operand<? extends TType> iterator, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Gets the next output from the given iterator .
IteratorGetNext	DataOps.iteratorGetNext(Operand<? extends TType> iterator, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Gets the next output from the given iterator .
IteratorGetNextAsOptional	DataOps.iteratorGetNextAsOptional(Operand<? extends TType> iterator, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Gets the next output from the given iterator as an Optional variant.
IteratorGetNextAsOptional	DataOps.iteratorGetNextAsOptional(Operand<? extends TType> iterator, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Gets the next output from the given iterator as an Optional variant.
IteratorGetNextSync	DataOps.iteratorGetNextSync(Operand<? extends TType> iterator, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Gets the next output from the given iterator.
IteratorGetNextSync	DataOps.iteratorGetNextSync(Operand<? extends TType> iterator, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Gets the next output from the given iterator.
IteratorToStringHandle	DataOps.iteratorToStringHandle(Operand<? extends TType> resourceHandle) Converts the given resource_handle representing an iterator to a string.
LatencyStatsDataset	DataOps.latencyStatsDataset(Operand<? extends TType> inputDataset, Operand<TString> tag, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Records the latency of producing input_dataset elements in a StatsAggregator.
LatencyStatsDataset	DataOps.latencyStatsDataset(Operand<? extends TType> inputDataset, Operand<TString> tag, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Records the latency of producing input_dataset elements in a StatsAggregator.
LegacyParallelInterleaveDataset	DataOps.legacyParallelInterleaveDataset(Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, Operand<TInt64> cycleLength, Operand<TInt64> blockLength, Operand<TInt64> bufferOutputElements, Operand<TInt64> prefetchInputElements, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, LegacyParallelInterleaveDataset.Options... options) Creates a dataset that applies f to the outputs of input_dataset.
LegacyParallelInterleaveDataset	DataOps.legacyParallelInterleaveDataset(Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, Operand<TInt64> cycleLength, Operand<TInt64> blockLength, Operand<TInt64> bufferOutputElements, Operand<TInt64> prefetchInputElements, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, LegacyParallelInterleaveDataset.Options... options) Creates a dataset that applies f to the outputs of input_dataset.
LMDBDataset	DataOps.lMDBDataset(Operand<TString> filenames, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Creates a dataset that emits the key-value pairs in one or more LMDB files.
LoadDataset	DataOps.loadDataset(Operand<TString> path, Iterable<Operand<?>> readerFuncOtherArgs, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ConcreteFunction readerFunc, LoadDataset.Options... options) The LoadDataset operation
<T extends TType,U extends TType> LookupTableExport<T,U>	Ops.lookupTableExport(Operand<? extends TType> tableHandle, Class<T> Tkeys, Class<U> Tvalues) Outputs all keys and values in the table.
<U extends TType> LookupTableFind<U>	Ops.lookupTableFind(Operand<? extends TType> tableHandle, Operand<? extends TType> keys, Operand<U> defaultValue) Looks up keys in a table, outputs the corresponding values.
<U extends TType> LookupTableFind<U>	Ops.lookupTableFind(Operand<? extends TType> tableHandle, Operand<? extends TType> keys, Operand<U> defaultValue) Looks up keys in a table, outputs the corresponding values.
LookupTableImport	Ops.lookupTableImport(Operand<? extends TType> tableHandle, Operand<? extends TType> keys, Operand<? extends TType> values) Replaces the contents of the table with the specified keys and values.
LookupTableImport	Ops.lookupTableImport(Operand<? extends TType> tableHandle, Operand<? extends TType> keys, Operand<? extends TType> values) Replaces the contents of the table with the specified keys and values.
LookupTableImport	Ops.lookupTableImport(Operand<? extends TType> tableHandle, Operand<? extends TType> keys, Operand<? extends TType> values) Replaces the contents of the table with the specified keys and values.
LookupTableInsert	Ops.lookupTableInsert(Operand<? extends TType> tableHandle, Operand<? extends TType> keys, Operand<? extends TType> values) Updates the table to associates keys with values.
LookupTableInsert	Ops.lookupTableInsert(Operand<? extends TType> tableHandle, Operand<? extends TType> keys, Operand<? extends TType> values) Updates the table to associates keys with values.
LookupTableInsert	Ops.lookupTableInsert(Operand<? extends TType> tableHandle, Operand<? extends TType> keys, Operand<? extends TType> values) Updates the table to associates keys with values.
LookupTableSize	Ops.lookupTableSize(Operand<? extends TType> tableHandle) Computes the number of elements in the given table.
MakeIterator	DataOps.makeIterator(Operand<? extends TType> dataset, Operand<? extends TType> iterator) Makes a new iterator from the given dataset and stores it in iterator.
MakeIterator	DataOps.makeIterator(Operand<? extends TType> dataset, Operand<? extends TType> iterator) Makes a new iterator from the given dataset and stores it in iterator.
MapAndBatchDataset	DataOps.mapAndBatchDataset(Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, Operand<TInt64> batchSize, Operand<TInt64> numParallelCalls, Operand<TBool> dropRemainder, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, MapAndBatchDataset.Options... options) Creates a dataset that fuses mapping with batching.
MapAndBatchDataset	DataOps.mapAndBatchDataset(Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, Operand<TInt64> batchSize, Operand<TInt64> numParallelCalls, Operand<TBool> dropRemainder, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, MapAndBatchDataset.Options... options) Creates a dataset that fuses mapping with batching.
MapClear	Ops.mapClear(List<Class<? extends TType>> dtypes, MapClear.Options... options) Op removes all elements in the underlying container.
MapDataset	DataOps.mapDataset(Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, MapDataset.Options... options) Creates a dataset that applies f to the outputs of input_dataset.
MapDataset	DataOps.mapDataset(Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, MapDataset.Options... options) Creates a dataset that applies f to the outputs of input_dataset.
MapIncompleteSize	Ops.mapIncompleteSize(List<Class<? extends TType>> dtypes, MapIncompleteSize.Options... options) Op returns the number of incomplete elements in the underlying container.
MapPeek	Ops.mapPeek(Operand<TInt64> key, Operand<TInt32> indices, List<Class<? extends TType>> dtypes, MapPeek.Options... options) Op peeks at the values at the specified key.
MapSize	Ops.mapSize(List<Class<? extends TType>> dtypes, MapSize.Options... options) Op returns the number of elements in the underlying container.
MapStage	Ops.mapStage(Operand<TInt64> key, Operand<TInt32> indices, Iterable<Operand<?>> values, List<Class<? extends TType>> dtypes, MapStage.Options... options) Stage (key, values) in the underlying container which behaves like a hashtable.
MapUnstage	Ops.mapUnstage(Operand<TInt64> key, Operand<TInt32> indices, List<Class<? extends TType>> dtypes, MapUnstage.Options... options) Op removes and returns the values associated with the key from the underlying container.
MapUnstageNoKey	Ops.mapUnstageNoKey(Operand<TInt32> indices, List<Class<? extends TType>> dtypes, MapUnstageNoKey.Options... options) Op removes and returns a random (key, value) from the underlying container.
MaxIntraOpParallelismDataset	DataOps.maxIntraOpParallelismDataset(Operand<? extends TType> inputDataset, Operand<TInt64> maxIntraOpParallelism, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Creates a dataset that overrides the maximum intra-op parallelism.
MaxIntraOpParallelismDataset	DataOps.maxIntraOpParallelismDataset(Operand<? extends TType> inputDataset, Operand<TInt64> maxIntraOpParallelism, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Creates a dataset that overrides the maximum intra-op parallelism.
MlirPassthroughOp	Ops.mlirPassthroughOp(Iterable<Operand<?>> inputs, String mlirModule, List<Class<? extends TType>> Toutputs) Wraps an arbitrary MLIR computation expressed as a module with a main() function.
ModelDataset	DataOps.modelDataset(Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ModelDataset.Options... options) Identity transformation that models performance.
ModelDataset	DataOps.modelDataset(Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ModelDataset.Options... options) Identity transformation that models performance.
MutexLock	Ops.mutexLock(Operand<? extends TType> mutex) Locks a mutex resource.
NonSerializableDataset	DataOps.nonSerializableDataset(Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) The NonSerializableDataset operation
NonSerializableDataset	DataOps.nonSerializableDataset(Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) The NonSerializableDataset operation
OneShotIterator	DataOps.oneShotIterator(ConcreteFunction datasetFactory, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, OneShotIterator.Options... options) Makes a "one-shot" iterator that can be iterated only once.
OptimizeDataset	DataOps.optimizeDataset(Operand<? extends TType> inputDataset, Operand<TString> optimizationsEnabled, Operand<TString> optimizationsDisabled, Operand<TString> optimizationsDefault, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, OptimizeDataset.Options... options) Creates a dataset by applying related optimizations to input_dataset.
OptimizeDataset	DataOps.optimizeDataset(Operand<? extends TType> inputDataset, Operand<TString> optimizationsEnabled, Operand<TString> optimizationsDisabled, Operand<TString> optimizationsDefault, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, OptimizeDataset.Options... options) Creates a dataset by applying related optimizations to input_dataset.
OptionalGetValue	DataOps.optionalGetValue(Operand<? extends TType> optional, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Returns the value stored in an Optional variant or raises an error if none exists.
OptionalGetValue	DataOps.optionalGetValue(Operand<? extends TType> optional, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Returns the value stored in an Optional variant or raises an error if none exists.
OptionalHasValue	DataOps.optionalHasValue(Operand<? extends TType> optional) Returns true if and only if the given Optional variant has a value.
OptionsDataset	DataOps.optionsDataset(Operand<? extends TType> inputDataset, String serializedOptions, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, OptionsDataset.Options... options) Creates a dataset by attaching tf.data.Options to input_dataset.
OptionsDataset	DataOps.optionsDataset(Operand<? extends TType> inputDataset, String serializedOptions, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, OptionsDataset.Options... options) Creates a dataset by attaching tf.data.Options to input_dataset.
OrderedMapClear	Ops.orderedMapClear(List<Class<? extends TType>> dtypes, OrderedMapClear.Options... options) Op removes all elements in the underlying container.
OrderedMapIncompleteSize	Ops.orderedMapIncompleteSize(List<Class<? extends TType>> dtypes, OrderedMapIncompleteSize.Options... options) Op returns the number of incomplete elements in the underlying container.
OrderedMapPeek	Ops.orderedMapPeek(Operand<TInt64> key, Operand<TInt32> indices, List<Class<? extends TType>> dtypes, OrderedMapPeek.Options... options) Op peeks at the values at the specified key.
OrderedMapSize	Ops.orderedMapSize(List<Class<? extends TType>> dtypes, OrderedMapSize.Options... options) Op returns the number of elements in the underlying container.
OrderedMapStage	Ops.orderedMapStage(Operand<TInt64> key, Operand<TInt32> indices, Iterable<Operand<?>> values, List<Class<? extends TType>> dtypes, OrderedMapStage.Options... options) Stage (key, values) in the underlying container which behaves like a ordered associative container.
OrderedMapUnstage	Ops.orderedMapUnstage(Operand<TInt64> key, Operand<TInt32> indices, List<Class<? extends TType>> dtypes, OrderedMapUnstage.Options... options) Op removes and returns the values associated with the key from the underlying container.
OrderedMapUnstageNoKey	Ops.orderedMapUnstageNoKey(Operand<TInt32> indices, List<Class<? extends TType>> dtypes, OrderedMapUnstageNoKey.Options... options) Op removes and returns the (key, value) element with the smallest key from the underlying container.
PaddedBatchDataset	DataOps.paddedBatchDataset(Operand<? extends TType> inputDataset, Operand<TInt64> batchSize, Iterable<Operand<TInt64>> paddedShapes, Iterable<Operand<?>> paddingValues, Operand<TBool> dropRemainder, List<org.tensorflow.ndarray.Shape> outputShapes, PaddedBatchDataset.Options... options) Creates a dataset that batches and pads batch_size elements from the input.
PaddingFifoQueue	IoOps.paddingFifoQueue(List<Class<? extends TType>> componentTypes, PaddingFifoQueue.Options... options) A queue that produces elements in first-in first-out order.
ParallelBatchDataset	DataOps.parallelBatchDataset(Operand<? extends TType> inputDataset, Operand<TInt64> batchSize, Operand<TInt64> numParallelCalls, Operand<TBool> dropRemainder, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ParallelBatchDataset.Options... options) The ParallelBatchDataset operation
ParallelBatchDataset	DataOps.parallelBatchDataset(Operand<? extends TType> inputDataset, Operand<TInt64> batchSize, Operand<TInt64> numParallelCalls, Operand<TBool> dropRemainder, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ParallelBatchDataset.Options... options) The ParallelBatchDataset operation
ParallelInterleaveDataset	DataOps.parallelInterleaveDataset(Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, Operand<TInt64> cycleLength, Operand<TInt64> blockLength, Operand<TInt64> bufferOutputElements, Operand<TInt64> prefetchInputElements, Operand<TInt64> numParallelCalls, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ParallelInterleaveDataset.Options... options) Creates a dataset that applies f to the outputs of input_dataset.
ParallelInterleaveDataset	DataOps.parallelInterleaveDataset(Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, Operand<TInt64> cycleLength, Operand<TInt64> blockLength, Operand<TInt64> bufferOutputElements, Operand<TInt64> prefetchInputElements, Operand<TInt64> numParallelCalls, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ParallelInterleaveDataset.Options... options) Creates a dataset that applies f to the outputs of input_dataset.
ParallelMapDataset	DataOps.parallelMapDataset(Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, Operand<TInt64> numParallelCalls, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ParallelMapDataset.Options... options) Creates a dataset that applies f to the outputs of input_dataset.
ParallelMapDataset	DataOps.parallelMapDataset(Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, Operand<TInt64> numParallelCalls, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ParallelMapDataset.Options... options) Creates a dataset that applies f to the outputs of input_dataset.
ParseExample	IoOps.parseExample(Operand<TString> serialized, Operand<TString> names, Operand<TString> sparseKeys, Operand<TString> denseKeys, Operand<TString> raggedKeys, Iterable<Operand<?>> denseDefaults, Long numSparse, List<Class<? extends TType>> sparseTypes, List<Class<? extends TType>> raggedValueTypes, List<Class<? extends TNumber>> raggedSplitTypes, List<org.tensorflow.ndarray.Shape> denseShapes) Transforms a vector of tf.Example protos (as strings) into typed tensors.
ParseExample	IoOps.parseExample(Operand<TString> serialized, Operand<TString> names, Operand<TString> sparseKeys, Operand<TString> denseKeys, Operand<TString> raggedKeys, Iterable<Operand<?>> denseDefaults, Long numSparse, List<Class<? extends TType>> sparseTypes, List<Class<? extends TType>> raggedValueTypes, List<Class<? extends TNumber>> raggedSplitTypes, List<org.tensorflow.ndarray.Shape> denseShapes) Transforms a vector of tf.Example protos (as strings) into typed tensors.
ParseExampleDataset	DataOps.parseExampleDataset(Operand<? extends TType> inputDataset, Operand<TInt64> numParallelCalls, Iterable<Operand<?>> denseDefaults, List<String> sparseKeys, List<String> denseKeys, List<Class<? extends TType>> sparseTypes, List<org.tensorflow.ndarray.Shape> denseShapes, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, List<Class<? extends TType>> raggedValueTypes, List<Class<? extends TNumber>> raggedSplitTypes, ParseExampleDataset.Options... options) Transforms input_dataset containing Example protos as vectors of DT_STRING into a dataset of Tensor or SparseTensor objects representing the parsed features.
ParseExampleDataset	DataOps.parseExampleDataset(Operand<? extends TType> inputDataset, Operand<TInt64> numParallelCalls, Iterable<Operand<?>> denseDefaults, List<String> sparseKeys, List<String> denseKeys, List<Class<? extends TType>> sparseTypes, List<org.tensorflow.ndarray.Shape> denseShapes, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, List<Class<? extends TType>> raggedValueTypes, List<Class<? extends TNumber>> raggedSplitTypes, ParseExampleDataset.Options... options) Transforms input_dataset containing Example protos as vectors of DT_STRING into a dataset of Tensor or SparseTensor objects representing the parsed features.
ParseExampleDataset	DataOps.parseExampleDataset(Operand<? extends TType> inputDataset, Operand<TInt64> numParallelCalls, Iterable<Operand<?>> denseDefaults, List<String> sparseKeys, List<String> denseKeys, List<Class<? extends TType>> sparseTypes, List<org.tensorflow.ndarray.Shape> denseShapes, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, List<Class<? extends TType>> raggedValueTypes, List<Class<? extends TNumber>> raggedSplitTypes, ParseExampleDataset.Options... options) Transforms input_dataset containing Example protos as vectors of DT_STRING into a dataset of Tensor or SparseTensor objects representing the parsed features.
ParseExampleDataset	DataOps.parseExampleDataset(Operand<? extends TType> inputDataset, Operand<TInt64> numParallelCalls, Iterable<Operand<?>> denseDefaults, List<String> sparseKeys, List<String> denseKeys, List<Class<? extends TType>> sparseTypes, List<org.tensorflow.ndarray.Shape> denseShapes, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, List<Class<? extends TType>> raggedValueTypes, List<Class<? extends TNumber>> raggedSplitTypes, ParseExampleDataset.Options... options) Transforms input_dataset containing Example protos as vectors of DT_STRING into a dataset of Tensor or SparseTensor objects representing the parsed features.
ParseSequenceExample	IoOps.parseSequenceExample(Operand<TString> serialized, Operand<TString> debugName, Operand<TString> contextSparseKeys, Operand<TString> contextDenseKeys, Operand<TString> contextRaggedKeys, Operand<TString> featureListSparseKeys, Operand<TString> featureListDenseKeys, Operand<TString> featureListRaggedKeys, Operand<TBool> featureListDenseMissingAssumedEmpty, Iterable<Operand<?>> contextDenseDefaults, List<Class<? extends TType>> contextSparseTypes, List<Class<? extends TType>> contextRaggedValueTypes, List<Class<? extends TNumber>> contextRaggedSplitTypes, List<Class<? extends TType>> featureListDenseTypes, List<Class<? extends TType>> featureListSparseTypes, List<Class<? extends TType>> featureListRaggedValueTypes, List<Class<? extends TNumber>> featureListRaggedSplitTypes, ParseSequenceExample.Options... options) Transforms a vector of tf.io.SequenceExample protos (as strings) into typed tensors.
ParseSequenceExample	IoOps.parseSequenceExample(Operand<TString> serialized, Operand<TString> debugName, Operand<TString> contextSparseKeys, Operand<TString> contextDenseKeys, Operand<TString> contextRaggedKeys, Operand<TString> featureListSparseKeys, Operand<TString> featureListDenseKeys, Operand<TString> featureListRaggedKeys, Operand<TBool> featureListDenseMissingAssumedEmpty, Iterable<Operand<?>> contextDenseDefaults, List<Class<? extends TType>> contextSparseTypes, List<Class<? extends TType>> contextRaggedValueTypes, List<Class<? extends TNumber>> contextRaggedSplitTypes, List<Class<? extends TType>> featureListDenseTypes, List<Class<? extends TType>> featureListSparseTypes, List<Class<? extends TType>> featureListRaggedValueTypes, List<Class<? extends TNumber>> featureListRaggedSplitTypes, ParseSequenceExample.Options... options) Transforms a vector of tf.io.SequenceExample protos (as strings) into typed tensors.
ParseSequenceExample	IoOps.parseSequenceExample(Operand<TString> serialized, Operand<TString> debugName, Operand<TString> contextSparseKeys, Operand<TString> contextDenseKeys, Operand<TString> contextRaggedKeys, Operand<TString> featureListSparseKeys, Operand<TString> featureListDenseKeys, Operand<TString> featureListRaggedKeys, Operand<TBool> featureListDenseMissingAssumedEmpty, Iterable<Operand<?>> contextDenseDefaults, List<Class<? extends TType>> contextSparseTypes, List<Class<? extends TType>> contextRaggedValueTypes, List<Class<? extends TNumber>> contextRaggedSplitTypes, List<Class<? extends TType>> featureListDenseTypes, List<Class<? extends TType>> featureListSparseTypes, List<Class<? extends TType>> featureListRaggedValueTypes, List<Class<? extends TNumber>> featureListRaggedSplitTypes, ParseSequenceExample.Options... options) Transforms a vector of tf.io.SequenceExample protos (as strings) into typed tensors.
ParseSequenceExample	IoOps.parseSequenceExample(Operand<TString> serialized, Operand<TString> debugName, Operand<TString> contextSparseKeys, Operand<TString> contextDenseKeys, Operand<TString> contextRaggedKeys, Operand<TString> featureListSparseKeys, Operand<TString> featureListDenseKeys, Operand<TString> featureListRaggedKeys, Operand<TBool> featureListDenseMissingAssumedEmpty, Iterable<Operand<?>> contextDenseDefaults, List<Class<? extends TType>> contextSparseTypes, List<Class<? extends TType>> contextRaggedValueTypes, List<Class<? extends TNumber>> contextRaggedSplitTypes, List<Class<? extends TType>> featureListDenseTypes, List<Class<? extends TType>> featureListSparseTypes, List<Class<? extends TType>> featureListRaggedValueTypes, List<Class<? extends TNumber>> featureListRaggedSplitTypes, ParseSequenceExample.Options... options) Transforms a vector of tf.io.SequenceExample protos (as strings) into typed tensors.
ParseSequenceExample	IoOps.parseSequenceExample(Operand<TString> serialized, Operand<TString> debugName, Operand<TString> contextSparseKeys, Operand<TString> contextDenseKeys, Operand<TString> contextRaggedKeys, Operand<TString> featureListSparseKeys, Operand<TString> featureListDenseKeys, Operand<TString> featureListRaggedKeys, Operand<TBool> featureListDenseMissingAssumedEmpty, Iterable<Operand<?>> contextDenseDefaults, List<Class<? extends TType>> contextSparseTypes, List<Class<? extends TType>> contextRaggedValueTypes, List<Class<? extends TNumber>> contextRaggedSplitTypes, List<Class<? extends TType>> featureListDenseTypes, List<Class<? extends TType>> featureListSparseTypes, List<Class<? extends TType>> featureListRaggedValueTypes, List<Class<? extends TNumber>> featureListRaggedSplitTypes, ParseSequenceExample.Options... options) Transforms a vector of tf.io.SequenceExample protos (as strings) into typed tensors.
ParseSingleExample	IoOps.parseSingleExample(Operand<TString> serialized, Iterable<Operand<?>> denseDefaults, Long numSparse, List<String> sparseKeys, List<String> denseKeys, List<Class<? extends TType>> sparseTypes, List<org.tensorflow.ndarray.Shape> denseShapes) Transforms a tf.Example proto (as a string) into typed tensors.
ParseSingleSequenceExample	IoOps.parseSingleSequenceExample(Operand<TString> serialized, Operand<TString> featureListDenseMissingAssumedEmpty, Iterable<Operand<TString>> contextSparseKeys, Iterable<Operand<TString>> contextDenseKeys, Iterable<Operand<TString>> featureListSparseKeys, Iterable<Operand<TString>> featureListDenseKeys, Iterable<Operand<?>> contextDenseDefaults, Operand<TString> debugName, List<Class<? extends TType>> contextSparseTypes, List<Class<? extends TType>> featureListDenseTypes, List<Class<? extends TType>> featureListSparseTypes, ParseSingleSequenceExample.Options... options) Transforms a scalar brain.SequenceExample proto (as strings) into typed tensors.
ParseSingleSequenceExample	IoOps.parseSingleSequenceExample(Operand<TString> serialized, Operand<TString> featureListDenseMissingAssumedEmpty, Iterable<Operand<TString>> contextSparseKeys, Iterable<Operand<TString>> contextDenseKeys, Iterable<Operand<TString>> featureListSparseKeys, Iterable<Operand<TString>> featureListDenseKeys, Iterable<Operand<?>> contextDenseDefaults, Operand<TString> debugName, List<Class<? extends TType>> contextSparseTypes, List<Class<? extends TType>> featureListDenseTypes, List<Class<? extends TType>> featureListSparseTypes, ParseSingleSequenceExample.Options... options) Transforms a scalar brain.SequenceExample proto (as strings) into typed tensors.
ParseSingleSequenceExample	IoOps.parseSingleSequenceExample(Operand<TString> serialized, Operand<TString> featureListDenseMissingAssumedEmpty, Iterable<Operand<TString>> contextSparseKeys, Iterable<Operand<TString>> contextDenseKeys, Iterable<Operand<TString>> featureListSparseKeys, Iterable<Operand<TString>> featureListDenseKeys, Iterable<Operand<?>> contextDenseDefaults, Operand<TString> debugName, List<Class<? extends TType>> contextSparseTypes, List<Class<? extends TType>> featureListDenseTypes, List<Class<? extends TType>> featureListSparseTypes, ParseSingleSequenceExample.Options... options) Transforms a scalar brain.SequenceExample proto (as strings) into typed tensors.
PartitionedCall	Ops.partitionedCall(Iterable<Operand<?>> args, List<Class<? extends TType>> Tout, ConcreteFunction f, PartitionedCall.Options... options) returns f(inputs), where f's body is placed and partitioned.
PrefetchDataset	DataOps.prefetchDataset(Operand<? extends TType> inputDataset, Operand<TInt64> bufferSize, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, PrefetchDataset.Options... options) Creates a dataset that asynchronously prefetches elements from input_dataset.
PrefetchDataset	DataOps.prefetchDataset(Operand<? extends TType> inputDataset, Operand<TInt64> bufferSize, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, PrefetchDataset.Options... options) Creates a dataset that asynchronously prefetches elements from input_dataset.
PriorityQueue	IoOps.priorityQueue(List<Class<? extends TType>> componentTypes, List<org.tensorflow.ndarray.Shape> shapes, PriorityQueue.Options... options) A queue that produces elements sorted by the first component value.
PrivateThreadPoolDataset	DataOps.privateThreadPoolDataset(Operand<? extends TType> inputDataset, Operand<TInt64> numThreads, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Creates a dataset that uses a custom thread pool to compute input_dataset.
PrivateThreadPoolDataset	DataOps.privateThreadPoolDataset(Operand<? extends TType> inputDataset, Operand<TInt64> numThreads, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Creates a dataset that uses a custom thread pool to compute input_dataset.
QueueClose	IoOps.queueClose(Operand<? extends TType> handle, QueueClose.Options... options) Closes the given queue.
QueueDequeue	IoOps.queueDequeue(Operand<? extends TType> handle, List<Class<? extends TType>> componentTypes, QueueDequeue.Options... options) Dequeues a tuple of one or more tensors from the given queue.
QueueDequeue	IoOps.queueDequeue(Operand<? extends TType> handle, List<Class<? extends TType>> componentTypes, QueueDequeue.Options... options) Dequeues a tuple of one or more tensors from the given queue.
QueueDequeueMany	IoOps.queueDequeueMany(Operand<? extends TType> handle, Operand<TInt32> n, List<Class<? extends TType>> componentTypes, QueueDequeueMany.Options... options) Dequeues n tuples of one or more tensors from the given queue.
QueueDequeueMany	IoOps.queueDequeueMany(Operand<? extends TType> handle, Operand<TInt32> n, List<Class<? extends TType>> componentTypes, QueueDequeueMany.Options... options) Dequeues n tuples of one or more tensors from the given queue.
QueueDequeueUpTo	IoOps.queueDequeueUpTo(Operand<? extends TType> handle, Operand<TInt32> n, List<Class<? extends TType>> componentTypes, QueueDequeueUpTo.Options... options) Dequeues n tuples of one or more tensors from the given queue.
QueueDequeueUpTo	IoOps.queueDequeueUpTo(Operand<? extends TType> handle, Operand<TInt32> n, List<Class<? extends TType>> componentTypes, QueueDequeueUpTo.Options... options) Dequeues n tuples of one or more tensors from the given queue.
QueueEnqueue	IoOps.queueEnqueue(Operand<? extends TType> handle, Iterable<Operand<?>> components, QueueEnqueue.Options... options) Enqueues a tuple of one or more tensors in the given queue.
QueueEnqueueMany	IoOps.queueEnqueueMany(Operand<? extends TType> handle, Iterable<Operand<?>> components, QueueEnqueueMany.Options... options) Enqueues zero or more tuples of one or more tensors in the given queue.
QueueIsClosed	IoOps.queueIsClosed(Operand<? extends TType> handle) Returns true if queue is closed.
QueueSize	IoOps.queueSize(Operand<? extends TType> handle) Computes the number of elements in the given queue.
RandomDataset	DataOps.randomDataset(Operand<TInt64> seed, Operand<TInt64> seed2, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, RandomDataset.Options... options) Creates a Dataset that returns pseudorandom numbers.
RandomShuffleQueue	IoOps.randomShuffleQueue(List<Class<? extends TType>> componentTypes, RandomShuffleQueue.Options... options) A queue that randomizes the order of elements.
RangeDataset	DataOps.rangeDataset(Operand<TInt64> start, Operand<TInt64> stop, Operand<TInt64> step, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, RangeDataset.Options... options) Creates a dataset with a range of values.
Rank	Ops.rank(Operand<? extends TType> input) Returns the rank of a tensor.
ReaderNumRecordsProduced	IoOps.readerNumRecordsProduced(Operand<? extends TType> readerHandle) Returns the number of records this Reader has produced.
ReaderNumWorkUnitsCompleted	IoOps.readerNumWorkUnitsCompleted(Operand<? extends TType> readerHandle) Returns the number of work units this Reader has finished processing.
ReaderRead	IoOps.readerRead(Operand<? extends TType> readerHandle, Operand<? extends TType> queueHandle) Returns the next record (key, value pair) produced by a Reader.
ReaderRead	IoOps.readerRead(Operand<? extends TType> readerHandle, Operand<? extends TType> queueHandle) Returns the next record (key, value pair) produced by a Reader.
ReaderReadUpTo	IoOps.readerReadUpTo(Operand<? extends TType> readerHandle, Operand<? extends TType> queueHandle, Operand<TInt64> numRecords) Returns up to num_records (key, value) pairs produced by a Reader.
ReaderReadUpTo	IoOps.readerReadUpTo(Operand<? extends TType> readerHandle, Operand<? extends TType> queueHandle, Operand<TInt64> numRecords) Returns up to num_records (key, value) pairs produced by a Reader.
ReaderReset	IoOps.readerReset(Operand<? extends TType> readerHandle) Restore a Reader to its initial clean state.
ReaderRestoreState	IoOps.readerRestoreState(Operand<? extends TType> readerHandle, Operand<TString> state) Restore a reader to a previously saved state.
ReaderSerializeState	IoOps.readerSerializeState(Operand<? extends TType> readerHandle) Produce a string tensor that encodes the state of a Reader.
<T extends TType> ReadVariableOp<T>	Ops.readVariableOp(Operand<? extends TType> resource, Class<T> dtype) Reads the value of a variable.
Real<TFloat32>	MathOps.real(Operand<? extends TType> input) Returns the real part of a complex number.
<U extends TNumber> Real<U>	MathOps.real(Operand<? extends TType> input, Class<U> Tout) Returns the real part of a complex number.
RebatchDatasetV2	DataOps.rebatchDatasetV2(Operand<? extends TType> inputDataset, Operand<TInt64> batchSizes, Operand<TBool> dropRemainder, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Creates a dataset that changes the batch size.
RebatchDatasetV2	DataOps.rebatchDatasetV2(Operand<? extends TType> inputDataset, Operand<TInt64> batchSizes, Operand<TBool> dropRemainder, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Creates a dataset that changes the batch size.
ReduceDataset	DataOps.reduceDataset(Operand<? extends TType> inputDataset, Iterable<Operand<?>> initialState, Iterable<Operand<?>> otherArguments, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ReduceDataset.Options... options) Reduces the input dataset to a singleton using a reduce function.
ReduceDataset	DataOps.reduceDataset(Operand<? extends TType> inputDataset, Iterable<Operand<?>> initialState, Iterable<Operand<?>> otherArguments, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ReduceDataset.Options... options) Reduces the input dataset to a singleton using a reduce function.
RegisterDataset	DataOps.registerDataset(Operand<? extends TType> dataset, Operand<TString> address, Operand<TString> protocol, Long externalStatePolicy, RegisterDataset.Options... options) Registers a dataset with the tf.data service.
RemoteCall	Ops.remoteCall(Operand<TString> target, Iterable<Operand<?>> args, List<Class<? extends TType>> Tout, ConcreteFunction f) Runs function f on a remote device indicated by target.
RepeatDataset	DataOps.repeatDataset(Operand<? extends TType> inputDataset, Operand<TInt64> count, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, RepeatDataset.Options... options) Creates a dataset that emits the outputs of input_dataset count times.
RepeatDataset	DataOps.repeatDataset(Operand<? extends TType> inputDataset, Operand<TInt64> count, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, RepeatDataset.Options... options) Creates a dataset that emits the outputs of input_dataset count times.
<T extends TType> ResourceApplyAdadelta	TrainOps.resourceApplyAdadelta(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> accumUpdate, Operand<T> lr, Operand<T> rho, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdadelta.Options... options) Update '*var' according to the adadelta scheme.
<T extends TType> ResourceApplyAdadelta	TrainOps.resourceApplyAdadelta(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> accumUpdate, Operand<T> lr, Operand<T> rho, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdadelta.Options... options) Update '*var' according to the adadelta scheme.
<T extends TType> ResourceApplyAdadelta	TrainOps.resourceApplyAdadelta(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> accumUpdate, Operand<T> lr, Operand<T> rho, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdadelta.Options... options) Update '*var' according to the adadelta scheme.
<T extends TType> ResourceApplyAdagradDa	TrainOps.resourceApplyAdagradDa(Operand<? extends TType> var, Operand<? extends TType> gradientAccumulator, Operand<? extends TType> gradientSquaredAccumulator, Operand<T> grad, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<TInt64> globalStep, ResourceApplyAdagradDa.Options... options) Update '*var' according to the proximal adagrad scheme.
<T extends TType> ResourceApplyAdagradDa	TrainOps.resourceApplyAdagradDa(Operand<? extends TType> var, Operand<? extends TType> gradientAccumulator, Operand<? extends TType> gradientSquaredAccumulator, Operand<T> grad, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<TInt64> globalStep, ResourceApplyAdagradDa.Options... options) Update '*var' according to the proximal adagrad scheme.
<T extends TType> ResourceApplyAdagradDa	TrainOps.resourceApplyAdagradDa(Operand<? extends TType> var, Operand<? extends TType> gradientAccumulator, Operand<? extends TType> gradientSquaredAccumulator, Operand<T> grad, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<TInt64> globalStep, ResourceApplyAdagradDa.Options... options) Update '*var' according to the proximal adagrad scheme.
<T extends TType> ResourceApplyAdam	TrainOps.resourceApplyAdam(Operand<? extends TType> var, Operand<? extends TType> m, Operand<? extends TType> v, Operand<T> beta1Power, Operand<T> beta2Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdam.Options... options) Update '*var' according to the Adam algorithm.
<T extends TType> ResourceApplyAdam	TrainOps.resourceApplyAdam(Operand<? extends TType> var, Operand<? extends TType> m, Operand<? extends TType> v, Operand<T> beta1Power, Operand<T> beta2Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdam.Options... options) Update '*var' according to the Adam algorithm.
<T extends TType> ResourceApplyAdam	TrainOps.resourceApplyAdam(Operand<? extends TType> var, Operand<? extends TType> m, Operand<? extends TType> v, Operand<T> beta1Power, Operand<T> beta2Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdam.Options... options) Update '*var' according to the Adam algorithm.
<T extends TType> ResourceApplyAdamWithAmsgrad	TrainOps.resourceApplyAdamWithAmsgrad(Operand<? extends TType> var, Operand<? extends TType> m, Operand<? extends TType> v, Operand<? extends TType> vhat, Operand<T> beta1Power, Operand<T> beta2Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdamWithAmsgrad.Options... options) Update '*var' according to the Adam algorithm.
<T extends TType> ResourceApplyAdamWithAmsgrad	TrainOps.resourceApplyAdamWithAmsgrad(Operand<? extends TType> var, Operand<? extends TType> m, Operand<? extends TType> v, Operand<? extends TType> vhat, Operand<T> beta1Power, Operand<T> beta2Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdamWithAmsgrad.Options... options) Update '*var' according to the Adam algorithm.
<T extends TType> ResourceApplyAdamWithAmsgrad	TrainOps.resourceApplyAdamWithAmsgrad(Operand<? extends TType> var, Operand<? extends TType> m, Operand<? extends TType> v, Operand<? extends TType> vhat, Operand<T> beta1Power, Operand<T> beta2Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdamWithAmsgrad.Options... options) Update '*var' according to the Adam algorithm.
<T extends TType> ResourceApplyAdamWithAmsgrad	TrainOps.resourceApplyAdamWithAmsgrad(Operand<? extends TType> var, Operand<? extends TType> m, Operand<? extends TType> v, Operand<? extends TType> vhat, Operand<T> beta1Power, Operand<T> beta2Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdamWithAmsgrad.Options... options) Update '*var' according to the Adam algorithm.
<T extends TType> ResourceApplyAddSign	TrainOps.resourceApplyAddSign(Operand<? extends TType> var, Operand<? extends TType> m, Operand<T> lr, Operand<T> alpha, Operand<T> signDecay, Operand<T> beta, Operand<T> grad, ResourceApplyAddSign.Options... options) Update '*var' according to the AddSign update.
<T extends TType> ResourceApplyAddSign	TrainOps.resourceApplyAddSign(Operand<? extends TType> var, Operand<? extends TType> m, Operand<T> lr, Operand<T> alpha, Operand<T> signDecay, Operand<T> beta, Operand<T> grad, ResourceApplyAddSign.Options... options) Update '*var' according to the AddSign update.
<T extends TType> ResourceApplyCenteredRmsProp	TrainOps.resourceApplyCenteredRmsProp(Operand<? extends TType> var, Operand<? extends TType> mg, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, ResourceApplyCenteredRmsProp.Options... options) Update '*var' according to the centered RMSProp algorithm.
<T extends TType> ResourceApplyCenteredRmsProp	TrainOps.resourceApplyCenteredRmsProp(Operand<? extends TType> var, Operand<? extends TType> mg, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, ResourceApplyCenteredRmsProp.Options... options) Update '*var' according to the centered RMSProp algorithm.
<T extends TType> ResourceApplyCenteredRmsProp	TrainOps.resourceApplyCenteredRmsProp(Operand<? extends TType> var, Operand<? extends TType> mg, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, ResourceApplyCenteredRmsProp.Options... options) Update '*var' according to the centered RMSProp algorithm.
<T extends TType> ResourceApplyCenteredRmsProp	TrainOps.resourceApplyCenteredRmsProp(Operand<? extends TType> var, Operand<? extends TType> mg, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, ResourceApplyCenteredRmsProp.Options... options) Update '*var' according to the centered RMSProp algorithm.
<T extends TType> ResourceApplyFtrl	TrainOps.resourceApplyFtrl(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> linear, Operand<T> grad, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> l2Shrinkage, Operand<T> lrPower, ResourceApplyFtrl.Options... options) Update '*var' according to the Ftrl-proximal scheme.
<T extends TType> ResourceApplyFtrl	TrainOps.resourceApplyFtrl(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> linear, Operand<T> grad, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> l2Shrinkage, Operand<T> lrPower, ResourceApplyFtrl.Options... options) Update '*var' according to the Ftrl-proximal scheme.
<T extends TType> ResourceApplyFtrl	TrainOps.resourceApplyFtrl(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> linear, Operand<T> grad, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> l2Shrinkage, Operand<T> lrPower, ResourceApplyFtrl.Options... options) Update '*var' according to the Ftrl-proximal scheme.
<T extends TType> ResourceApplyGradientDescent	TrainOps.resourceApplyGradientDescent(Operand<? extends TType> var, Operand<T> alpha, Operand<T> delta, ResourceApplyGradientDescent.Options... options) Update '*var' by subtracting 'alpha' * 'delta' from it.
<T extends TType> ResourceApplyKerasMomentum	TrainOps.resourceApplyKerasMomentum(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<T> momentum, ResourceApplyKerasMomentum.Options... options) Update '*var' according to the momentum scheme.
<T extends TType> ResourceApplyKerasMomentum	TrainOps.resourceApplyKerasMomentum(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<T> momentum, ResourceApplyKerasMomentum.Options... options) Update '*var' according to the momentum scheme.
<T extends TType> ResourceApplyMomentum	TrainOps.resourceApplyMomentum(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<T> momentum, ResourceApplyMomentum.Options... options) Update '*var' according to the momentum scheme.
<T extends TType> ResourceApplyMomentum	TrainOps.resourceApplyMomentum(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<T> momentum, ResourceApplyMomentum.Options... options) Update '*var' according to the momentum scheme.
<T extends TType> ResourceApplyPowerSign	TrainOps.resourceApplyPowerSign(Operand<? extends TType> var, Operand<? extends TType> m, Operand<T> lr, Operand<T> logbase, Operand<T> signDecay, Operand<T> beta, Operand<T> grad, ResourceApplyPowerSign.Options... options) Update '*var' according to the AddSign update.
<T extends TType> ResourceApplyPowerSign	TrainOps.resourceApplyPowerSign(Operand<? extends TType> var, Operand<? extends TType> m, Operand<T> lr, Operand<T> logbase, Operand<T> signDecay, Operand<T> beta, Operand<T> grad, ResourceApplyPowerSign.Options... options) Update '*var' according to the AddSign update.
<T extends TType> ResourceApplyProximalAdagrad	TrainOps.resourceApplyProximalAdagrad(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> grad, ResourceApplyProximalAdagrad.Options... options) Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.
<T extends TType> ResourceApplyProximalAdagrad	TrainOps.resourceApplyProximalAdagrad(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> grad, ResourceApplyProximalAdagrad.Options... options) Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.
<T extends TType> ResourceApplyProximalGradientDescent	TrainOps.resourceApplyProximalGradientDescent(Operand<? extends TType> var, Operand<T> alpha, Operand<T> l1, Operand<T> l2, Operand<T> delta, ResourceApplyProximalGradientDescent.Options... options) Update '*var' as FOBOS algorithm with fixed learning rate.
<T extends TType> ResourceApplyRmsProp	TrainOps.resourceApplyRmsProp(Operand<? extends TType> var, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, ResourceApplyRmsProp.Options... options) Update '*var' according to the RMSProp algorithm.
<T extends TType> ResourceApplyRmsProp	TrainOps.resourceApplyRmsProp(Operand<? extends TType> var, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, ResourceApplyRmsProp.Options... options) Update '*var' according to the RMSProp algorithm.
<T extends TType> ResourceApplyRmsProp	TrainOps.resourceApplyRmsProp(Operand<? extends TType> var, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, ResourceApplyRmsProp.Options... options) Update '*var' according to the RMSProp algorithm.
<T extends TNumber> ResourceCountUpTo<T>	Ops.resourceCountUpTo(Operand<? extends TType> resource, Long limit, Class<T> T) Increments variable pointed to by 'resource' until it reaches 'limit'.
<U extends TType> ResourceGather<U>	Ops.resourceGather(Operand<? extends TType> resource, Operand<? extends TNumber> indices, Class<U> dtype, ResourceGather.Options... options) Gather slices from the variable pointed to by resource according to indices.
<U extends TType> ResourceGatherNd<U>	Ops.resourceGatherNd(Operand<? extends TType> resource, Operand<? extends TNumber> indices, Class<U> dtype) The ResourceGatherNd operation
ResourceScatterAdd	Ops.resourceScatterAdd(Operand<? extends TType> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates) Adds sparse updates to the variable referenced by resource.
ResourceScatterAdd	Ops.resourceScatterAdd(Operand<? extends TType> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates) Adds sparse updates to the variable referenced by resource.
ResourceScatterDiv	Ops.resourceScatterDiv(Operand<? extends TType> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates) Divides sparse updates into the variable referenced by resource.
ResourceScatterDiv	Ops.resourceScatterDiv(Operand<? extends TType> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates) Divides sparse updates into the variable referenced by resource.
ResourceScatterMax	Ops.resourceScatterMax(Operand<? extends TType> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates) Reduces sparse updates into the variable referenced by resource using the max operation.
ResourceScatterMax	Ops.resourceScatterMax(Operand<? extends TType> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates) Reduces sparse updates into the variable referenced by resource using the max operation.
ResourceScatterMin	Ops.resourceScatterMin(Operand<? extends TType> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates) Reduces sparse updates into the variable referenced by resource using the min operation.
ResourceScatterMin	Ops.resourceScatterMin(Operand<? extends TType> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates) Reduces sparse updates into the variable referenced by resource using the min operation.
ResourceScatterMul	Ops.resourceScatterMul(Operand<? extends TType> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates) Multiplies sparse updates into the variable referenced by resource.
ResourceScatterMul	Ops.resourceScatterMul(Operand<? extends TType> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates) Multiplies sparse updates into the variable referenced by resource.
ResourceScatterNdAdd	Ops.resourceScatterNdAdd(Operand<? extends TType> ref, Operand<? extends TNumber> indices, Operand<? extends TType> updates, ResourceScatterNdAdd.Options... options) Applies sparse addition to individual values or slices in a Variable.
ResourceScatterNdAdd	Ops.resourceScatterNdAdd(Operand<? extends TType> ref, Operand<? extends TNumber> indices, Operand<? extends TType> updates, ResourceScatterNdAdd.Options... options) Applies sparse addition to individual values or slices in a Variable.
ResourceScatterNdMax	Ops.resourceScatterNdMax(Operand<? extends TType> ref, Operand<? extends TNumber> indices, Operand<? extends TType> updates, ResourceScatterNdMax.Options... options) The ResourceScatterNdMax operation
ResourceScatterNdMax	Ops.resourceScatterNdMax(Operand<? extends TType> ref, Operand<? extends TNumber> indices, Operand<? extends TType> updates, ResourceScatterNdMax.Options... options) The ResourceScatterNdMax operation
ResourceScatterNdMin	Ops.resourceScatterNdMin(Operand<? extends TType> ref, Operand<? extends TNumber> indices, Operand<? extends TType> updates, ResourceScatterNdMin.Options... options) The ResourceScatterNdMin operation
ResourceScatterNdMin	Ops.resourceScatterNdMin(Operand<? extends TType> ref, Operand<? extends TNumber> indices, Operand<? extends TType> updates, ResourceScatterNdMin.Options... options) The ResourceScatterNdMin operation
ResourceScatterNdSub	Ops.resourceScatterNdSub(Operand<? extends TType> ref, Operand<? extends TNumber> indices, Operand<? extends TType> updates, ResourceScatterNdSub.Options... options) Applies sparse subtraction to individual values or slices in a Variable.
ResourceScatterNdSub	Ops.resourceScatterNdSub(Operand<? extends TType> ref, Operand<? extends TNumber> indices, Operand<? extends TType> updates, ResourceScatterNdSub.Options... options) Applies sparse subtraction to individual values or slices in a Variable.
ResourceScatterNdUpdate	Ops.resourceScatterNdUpdate(Operand<? extends TType> ref, Operand<? extends TNumber> indices, Operand<? extends TType> updates, ResourceScatterNdUpdate.Options... options) Applies sparse updates to individual values or slices within a given variable according to indices.
ResourceScatterNdUpdate	Ops.resourceScatterNdUpdate(Operand<? extends TType> ref, Operand<? extends TNumber> indices, Operand<? extends TType> updates, ResourceScatterNdUpdate.Options... options) Applies sparse updates to individual values or slices within a given variable according to indices.
ResourceScatterSub	Ops.resourceScatterSub(Operand<? extends TType> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates) Subtracts sparse updates from the variable referenced by resource.
ResourceScatterSub	Ops.resourceScatterSub(Operand<? extends TType> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates) Subtracts sparse updates from the variable referenced by resource.
ResourceScatterUpdate	Ops.resourceScatterUpdate(Operand<? extends TType> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates) Assigns sparse updates to the variable referenced by resource.
ResourceScatterUpdate	Ops.resourceScatterUpdate(Operand<? extends TType> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates) Assigns sparse updates to the variable referenced by resource.
<T extends TType> ResourceSparseApplyAdadelta	TrainOps.resourceSparseApplyAdadelta(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> accumUpdate, Operand<T> lr, Operand<T> rho, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyAdadelta.Options... options) var: Should be from a Variable().
<T extends TType> ResourceSparseApplyAdadelta	TrainOps.resourceSparseApplyAdadelta(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> accumUpdate, Operand<T> lr, Operand<T> rho, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyAdadelta.Options... options) var: Should be from a Variable().
<T extends TType> ResourceSparseApplyAdadelta	TrainOps.resourceSparseApplyAdadelta(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> accumUpdate, Operand<T> lr, Operand<T> rho, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyAdadelta.Options... options) var: Should be from a Variable().
<T extends TType> ResourceSparseApplyAdagrad	TrainOps.resourceSparseApplyAdagrad(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyAdagrad.Options... options) Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
<T extends TType> ResourceSparseApplyAdagrad	TrainOps.resourceSparseApplyAdagrad(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyAdagrad.Options... options) Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
<T extends TType> ResourceSparseApplyAdagradDa	TrainOps.resourceSparseApplyAdagradDa(Operand<? extends TType> var, Operand<? extends TType> gradientAccumulator, Operand<? extends TType> gradientSquaredAccumulator, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<TInt64> globalStep, ResourceSparseApplyAdagradDa.Options... options) Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
<T extends TType> ResourceSparseApplyAdagradDa	TrainOps.resourceSparseApplyAdagradDa(Operand<? extends TType> var, Operand<? extends TType> gradientAccumulator, Operand<? extends TType> gradientSquaredAccumulator, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<TInt64> globalStep, ResourceSparseApplyAdagradDa.Options... options) Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
<T extends TType> ResourceSparseApplyAdagradDa	TrainOps.resourceSparseApplyAdagradDa(Operand<? extends TType> var, Operand<? extends TType> gradientAccumulator, Operand<? extends TType> gradientSquaredAccumulator, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<TInt64> globalStep, ResourceSparseApplyAdagradDa.Options... options) Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
<T extends TType> ResourceSparseApplyCenteredRmsProp	TrainOps.resourceSparseApplyCenteredRmsProp(Operand<? extends TType> var, Operand<? extends TType> mg, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyCenteredRmsProp.Options... options) Update '*var' according to the centered RMSProp algorithm.
<T extends TType> ResourceSparseApplyCenteredRmsProp	TrainOps.resourceSparseApplyCenteredRmsProp(Operand<? extends TType> var, Operand<? extends TType> mg, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyCenteredRmsProp.Options... options) Update '*var' according to the centered RMSProp algorithm.
<T extends TType> ResourceSparseApplyCenteredRmsProp	TrainOps.resourceSparseApplyCenteredRmsProp(Operand<? extends TType> var, Operand<? extends TType> mg, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyCenteredRmsProp.Options... options) Update '*var' according to the centered RMSProp algorithm.
<T extends TType> ResourceSparseApplyCenteredRmsProp	TrainOps.resourceSparseApplyCenteredRmsProp(Operand<? extends TType> var, Operand<? extends TType> mg, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyCenteredRmsProp.Options... options) Update '*var' according to the centered RMSProp algorithm.
<T extends TType> ResourceSparseApplyFtrl	TrainOps.resourceSparseApplyFtrl(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> linear, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> l2Shrinkage, Operand<T> lrPower, ResourceSparseApplyFtrl.Options... options) Update relevant entries in '*var' according to the Ftrl-proximal scheme.
<T extends TType> ResourceSparseApplyFtrl	TrainOps.resourceSparseApplyFtrl(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> linear, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> l2Shrinkage, Operand<T> lrPower, ResourceSparseApplyFtrl.Options... options) Update relevant entries in '*var' according to the Ftrl-proximal scheme.
<T extends TType> ResourceSparseApplyFtrl	TrainOps.resourceSparseApplyFtrl(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> linear, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> l2Shrinkage, Operand<T> lrPower, ResourceSparseApplyFtrl.Options... options) Update relevant entries in '*var' according to the Ftrl-proximal scheme.
<T extends TType> ResourceSparseApplyKerasMomentum	TrainOps.resourceSparseApplyKerasMomentum(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> momentum, ResourceSparseApplyKerasMomentum.Options... options) Update relevant entries in '*var' and '*accum' according to the momentum scheme.
<T extends TType> ResourceSparseApplyKerasMomentum	TrainOps.resourceSparseApplyKerasMomentum(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> momentum, ResourceSparseApplyKerasMomentum.Options... options) Update relevant entries in '*var' and '*accum' according to the momentum scheme.
<T extends TType> ResourceSparseApplyMomentum	TrainOps.resourceSparseApplyMomentum(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> momentum, ResourceSparseApplyMomentum.Options... options) Update relevant entries in '*var' and '*accum' according to the momentum scheme.
<T extends TType> ResourceSparseApplyMomentum	TrainOps.resourceSparseApplyMomentum(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> momentum, ResourceSparseApplyMomentum.Options... options) Update relevant entries in '*var' and '*accum' according to the momentum scheme.
<T extends TType> ResourceSparseApplyProximalAdagrad	TrainOps.resourceSparseApplyProximalAdagrad(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyProximalAdagrad.Options... options) Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
<T extends TType> ResourceSparseApplyProximalAdagrad	TrainOps.resourceSparseApplyProximalAdagrad(Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyProximalAdagrad.Options... options) Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
<T extends TType> ResourceSparseApplyProximalGradientDescent	TrainOps.resourceSparseApplyProximalGradientDescent(Operand<? extends TType> var, Operand<T> alpha, Operand<T> l1, Operand<T> l2, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyProximalGradientDescent.Options... options) Sparse update '*var' as FOBOS algorithm with fixed learning rate.
<T extends TType> ResourceSparseApplyRmsProp	TrainOps.resourceSparseApplyRmsProp(Operand<? extends TType> var, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyRmsProp.Options... options) Update '*var' according to the RMSProp algorithm.
<T extends TType> ResourceSparseApplyRmsProp	TrainOps.resourceSparseApplyRmsProp(Operand<? extends TType> var, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyRmsProp.Options... options) Update '*var' according to the RMSProp algorithm.
<T extends TType> ResourceSparseApplyRmsProp	TrainOps.resourceSparseApplyRmsProp(Operand<? extends TType> var, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyRmsProp.Options... options) Update '*var' according to the RMSProp algorithm.
<T extends TNumber> ResourceStridedSliceAssign	Ops.resourceStridedSliceAssign(Operand<? extends TType> ref, Operand<T> begin, Operand<T> end, Operand<T> strides, Operand<? extends TType> value, ResourceStridedSliceAssign.Options... options) Assign value to the sliced l-value reference of ref.
<T extends TNumber> ResourceStridedSliceAssign	Ops.resourceStridedSliceAssign(Operand<? extends TType> ref, Operand<T> begin, Operand<T> end, Operand<T> strides, Operand<? extends TType> value, ResourceStridedSliceAssign.Options... options) Assign value to the sliced l-value reference of ref.
Restore	TrainOps.restore(Operand<TString> prefix, Operand<TString> tensorNames, Operand<TString> shapeAndSlices, List<Class<? extends TType>> dtypes) Restores tensors from a V2 checkpoint.
<U extends TNumber> RngBitGenerator<U>	XlaOps.rngBitGenerator(Operand<TInt32> algorithm, Operand<? extends TType> initialState, Operand<? extends TNumber> shape, Class<U> dtype) Stateless PRNG bit generator.
SamplingDataset	DataOps.samplingDataset(Operand<? extends TType> inputDataset, Operand<TFloat32> rate, Operand<TInt64> seed, Operand<TInt64> seed2, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Creates a dataset that takes a Bernoulli sample of the contents of another dataset.
SamplingDataset	DataOps.samplingDataset(Operand<? extends TType> inputDataset, Operand<TFloat32> rate, Operand<TInt64> seed, Operand<TInt64> seed2, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Creates a dataset that takes a Bernoulli sample of the contents of another dataset.
SaveDataset	DataOps.saveDataset(Operand<? extends TType> inputDataset, Operand<TString> path, Iterable<Operand<?>> shardFuncOtherArgs, ConcreteFunction shardFunc, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, SaveDataset.Options... options) The SaveDatasetV2 operation
SaveDataset	DataOps.saveDataset(Operand<? extends TType> inputDataset, Operand<TString> path, Iterable<Operand<?>> shardFuncOtherArgs, ConcreteFunction shardFunc, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, SaveDataset.Options... options) The SaveDatasetV2 operation
ScanDataset	DataOps.scanDataset(Operand<? extends TType> inputDataset, Iterable<Operand<?>> initialState, Iterable<Operand<?>> otherArguments, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ScanDataset.Options... options) Creates a dataset successively reduces f over the elements of input_dataset.
ScanDataset	DataOps.scanDataset(Operand<? extends TType> inputDataset, Iterable<Operand<?>> initialState, Iterable<Operand<?>> otherArguments, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ScanDataset.Options... options) Creates a dataset successively reduces f over the elements of input_dataset.
Send	XlaOps.send(Operand<? extends TType> tensor, String tensorName) Sends the named tensor to another XLA computation.
SerializeIterator	DataOps.serializeIterator(Operand<? extends TType> resourceHandle, SerializeIterator.Options... options) Converts the given resource_handle representing an iterator to a variant tensor.
SerializeManySparse<TString>	IoOps.serializeManySparse(Operand<TInt64> sparseIndices, Operand<? extends TType> sparseValues, Operand<TInt64> sparseShape) Serialize an N-minibatch SparseTensor into an [N, 3] Tensor object.
<U extends TType> SerializeManySparse<U>	IoOps.serializeManySparse(Operand<TInt64> sparseIndices, Operand<? extends TType> sparseValues, Operand<TInt64> sparseShape, Class<U> outType) Serialize an N-minibatch SparseTensor into an [N, 3] Tensor object.
SerializeSparse<TString>	IoOps.serializeSparse(Operand<TInt64> sparseIndices, Operand<? extends TType> sparseValues, Operand<TInt64> sparseShape) Serialize a SparseTensor into a [3] Tensor object.
<U extends TType> SerializeSparse<U>	IoOps.serializeSparse(Operand<TInt64> sparseIndices, Operand<? extends TType> sparseValues, Operand<TInt64> sparseShape, Class<U> outType) Serialize a SparseTensor into a [3] Tensor object.
SerializeTensor	IoOps.serializeTensor(Operand<? extends TType> tensor) Transforms a Tensor into a serialized TensorProto proto.
SetSize	Ops.setSize(Operand<TInt64> setIndices, Operand<? extends TType> setValues, Operand<TInt64> setShape, SetSize.Options... options) Number of unique elements along last dimension of input set.
SetStatsAggregatorDataset	DataOps.setStatsAggregatorDataset(Operand<? extends TType> inputDataset, Operand<? extends TType> statsAggregator, Operand<TString> tag, Operand<TString> counterPrefix, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) The SetStatsAggregatorDataset operation
SetStatsAggregatorDataset	DataOps.setStatsAggregatorDataset(Operand<? extends TType> inputDataset, Operand<? extends TType> statsAggregator, Operand<TString> tag, Operand<TString> counterPrefix, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) The SetStatsAggregatorDataset operation
SetStatsAggregatorDataset	DataOps.setStatsAggregatorDataset(Operand<? extends TType> inputDataset, Operand<? extends TType> statsAggregator, Operand<TString> tag, Operand<TString> counterPrefix, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) The SetStatsAggregatorDataset operation
Shape<TInt32>	Ops.shape(Operand<? extends TType> input) Returns the shape of a tensor.
<U extends TNumber> Shape<U>	Ops.shape(Operand<? extends TType> input, Class<U> outType) Returns the shape of a tensor.
ShapeN<TInt32>	Ops.shapeN(Iterable<Operand<? extends TType>> input) Returns shape of tensors.
<U extends TNumber> ShapeN<U>	Ops.shapeN(Iterable<Operand<? extends TType>> input, Class<U> outType) Returns shape of tensors.
ShardDataset	DataOps.shardDataset(Operand<? extends TType> inputDataset, Operand<TInt64> numShards, Operand<TInt64> index, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ShardDataset.Options... options) Creates a Dataset that includes only 1/num_shards of this dataset.
ShardDataset	DataOps.shardDataset(Operand<? extends TType> inputDataset, Operand<TInt64> numShards, Operand<TInt64> index, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ShardDataset.Options... options) Creates a Dataset that includes only 1/num_shards of this dataset.
ShuffleAndRepeatDataset	DataOps.shuffleAndRepeatDataset(Operand<? extends TType> inputDataset, Operand<TInt64> bufferSize, Operand<TInt64> seed, Operand<TInt64> seed2, Operand<TInt64> count, Operand<? extends TType> seedGenerator, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ShuffleAndRepeatDataset.Options... options) The ShuffleAndRepeatDatasetV2 operation
ShuffleAndRepeatDataset	DataOps.shuffleAndRepeatDataset(Operand<? extends TType> inputDataset, Operand<TInt64> bufferSize, Operand<TInt64> seed, Operand<TInt64> seed2, Operand<TInt64> count, Operand<? extends TType> seedGenerator, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ShuffleAndRepeatDataset.Options... options) The ShuffleAndRepeatDatasetV2 operation
ShuffleAndRepeatDataset	DataOps.shuffleAndRepeatDataset(Operand<? extends TType> inputDataset, Operand<TInt64> bufferSize, Operand<TInt64> seed, Operand<TInt64> seed2, Operand<TInt64> count, Operand<? extends TType> seedGenerator, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ShuffleAndRepeatDataset.Options... options) The ShuffleAndRepeatDatasetV2 operation
ShuffleDataset	DataOps.shuffleDataset(Operand<? extends TType> inputDataset, Operand<TInt64> bufferSize, Operand<TInt64> seed, Operand<TInt64> seed2, Operand<? extends TType> seedGenerator, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ShuffleDataset.Options... options) The ShuffleDatasetV3 operation
ShuffleDataset	DataOps.shuffleDataset(Operand<? extends TType> inputDataset, Operand<TInt64> bufferSize, Operand<TInt64> seed, Operand<TInt64> seed2, Operand<? extends TType> seedGenerator, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ShuffleDataset.Options... options) The ShuffleDatasetV3 operation
ShuffleDataset	DataOps.shuffleDataset(Operand<? extends TType> inputDataset, Operand<TInt64> bufferSize, Operand<TInt64> seed, Operand<TInt64> seed2, Operand<? extends TType> seedGenerator, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ShuffleDataset.Options... options) The ShuffleDatasetV3 operation
Size<TInt32>	Ops.size(Operand<? extends TType> input) Returns the size of a tensor.
<U extends TNumber> Size<U>	Ops.size(Operand<? extends TType> input, Class<U> outType) Returns the size of a tensor.
SkipDataset	DataOps.skipDataset(Operand<? extends TType> inputDataset, Operand<TInt64> count, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, SkipDataset.Options... options) Creates a dataset that skips count elements from the input_dataset.
SkipDataset	DataOps.skipDataset(Operand<? extends TType> inputDataset, Operand<TInt64> count, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, SkipDataset.Options... options) Creates a dataset that skips count elements from the input_dataset.
SleepDataset	DataOps.sleepDataset(Operand<? extends TType> inputDataset, Operand<TInt64> sleepMicroseconds, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) The SleepDataset operation
SleepDataset	DataOps.sleepDataset(Operand<? extends TType> inputDataset, Operand<TInt64> sleepMicroseconds, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) The SleepDataset operation
SlidingWindowDataset	DataOps.slidingWindowDataset(Operand<? extends TType> inputDataset, Operand<TInt64> windowSize, Operand<TInt64> windowShift, Operand<TInt64> windowStride, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Creates a dataset that passes a sliding window over input_dataset.
SlidingWindowDataset	DataOps.slidingWindowDataset(Operand<? extends TType> inputDataset, Operand<TInt64> windowSize, Operand<TInt64> windowShift, Operand<TInt64> windowStride, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Creates a dataset that passes a sliding window over input_dataset.
SnapshotDataset	DataOps.snapshotDataset(Operand<? extends TType> inputDataset, Operand<TString> path, Iterable<Operand<?>> readerFuncOtherArgs, Iterable<Operand<?>> shardFuncOtherArgs, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ConcreteFunction readerFunc, ConcreteFunction shardFunc, SnapshotDataset.Options... options) Creates a dataset that will write to / read from a snapshot.
SnapshotDataset	DataOps.snapshotDataset(Operand<? extends TType> inputDataset, Operand<TString> path, Iterable<Operand<?>> readerFuncOtherArgs, Iterable<Operand<?>> shardFuncOtherArgs, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ConcreteFunction readerFunc, ConcreteFunction shardFunc, SnapshotDataset.Options... options) Creates a dataset that will write to / read from a snapshot.
SparseAccumulatorApplyGradient	SparseOps.sparseAccumulatorApplyGradient(Operand<TString> handle, Operand<TInt64> localStep, Operand<TInt64> gradientIndices, Operand<? extends TType> gradientValues, Operand<TInt64> gradientShape, Boolean hasKnownShape) Applies a sparse gradient to a given accumulator.
SparseTensorSliceDataset	DataOps.sparseTensorSliceDataset(Operand<TInt64> indices, Operand<? extends TType> values, Operand<TInt64> denseShape) Creates a dataset that splits a SparseTensor into elements row-wise.
SqlDataset	DataOps.sqlDataset(Operand<TString> driverName, Operand<TString> dataSourceName, Operand<TString> query, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Creates a dataset that executes a SQL query and emits rows of the result set.
StageClear	Ops.stageClear(List<Class<? extends TType>> dtypes, StageClear.Options... options) Op removes all elements in the underlying container.
StagePeek	Ops.stagePeek(Operand<TInt32> index, List<Class<? extends TType>> dtypes, StagePeek.Options... options) Op peeks at the values at the specified index.
StageSize	Ops.stageSize(List<Class<? extends TType>> dtypes, StageSize.Options... options) Op returns the number of elements in the underlying container.
StatefulCase	Ops.statefulCase(Operand<TInt32> branchIndex, Iterable<Operand<?>> input, List<Class<? extends TType>> Tout, List<ConcreteFunction> branches, Case.Options... options) An n-way switch statement which calls a single branch function.
StatefulIf	Ops.statefulIf(Operand<? extends TType> cond, Iterable<Operand<?>> input, List<Class<? extends TType>> Tout, ConcreteFunction thenBranch, ConcreteFunction elseBranch, If.Options... options) output = cond ? then_branch(input) : else_branch(input)
StatefulIf	Ops.statefulIf(Operand<? extends TType> cond, Iterable<Operand<?>> input, List<Class<? extends TType>> Tout, ConcreteFunction thenBranch, ConcreteFunction elseBranch, If.Options... options) output = cond ? then_branch(input) : else_branch(input)
StatefulPartitionedCall	Ops.statefulPartitionedCall(Iterable<Operand<?>> args, List<Class<? extends TType>> Tout, ConcreteFunction f, PartitionedCall.Options... options) returns f(inputs), where f's body is placed and partitioned.
<U extends TNumber> StatefulRandomBinomial<TInt64>	RandomOps.statefulRandomBinomial(Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TNumber> shape, Operand<U> counts, Operand<U> probs) The StatefulRandomBinomial operation
<V extends TNumber,U extends TNumber> StatefulRandomBinomial<V>	RandomOps.statefulRandomBinomial(Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TNumber> shape, Operand<U> counts, Operand<U> probs, Class<V> dtype) The StatefulRandomBinomial operation
StatefulStandardNormal<TFloat32>	RandomOps.statefulStandardNormal(Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TType> shape) Outputs random values from a normal distribution.
StatefulStandardNormal<TFloat32>	RandomOps.statefulStandardNormal(Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TType> shape) Outputs random values from a normal distribution.
<U extends TType> StatefulStandardNormal<U>	RandomOps.statefulStandardNormal(Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TType> shape, Class<U> dtype) Outputs random values from a normal distribution.
<U extends TType> StatefulStandardNormal<U>	RandomOps.statefulStandardNormal(Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TType> shape, Class<U> dtype) Outputs random values from a normal distribution.
StatelessIf	Ops.statelessIf(Operand<? extends TType> cond, Iterable<Operand<?>> input, List<Class<? extends TType>> Tout, ConcreteFunction thenBranch, ConcreteFunction elseBranch, If.Options... options) output = cond ? then_branch(input) : else_branch(input)
StatelessIf	Ops.statelessIf(Operand<? extends TType> cond, Iterable<Operand<?>> input, List<Class<? extends TType>> Tout, ConcreteFunction thenBranch, ConcreteFunction elseBranch, If.Options... options) output = cond ? then_branch(input) : else_branch(input)
StatelessPartitionedCall	Ops.statelessPartitionedCall(Iterable<Operand<?>> args, List<Class<? extends TType>> Tout, ConcreteFunction f, PartitionedCall.Options... options) returns f(inputs), where f's body is placed and partitioned.
SymbolicGradient	TrainOps.symbolicGradient(Iterable<Operand<?>> input, List<Class<? extends TType>> Tout, ConcreteFunction f) Computes the gradient function for function f via backpropagation.
TakeDataset	DataOps.takeDataset(Operand<? extends TType> inputDataset, Operand<TInt64> count, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, TakeDataset.Options... options) Creates a dataset that contains count elements from the input_dataset.
TakeDataset	DataOps.takeDataset(Operand<? extends TType> inputDataset, Operand<TInt64> count, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, TakeDataset.Options... options) Creates a dataset that contains count elements from the input_dataset.
TakeWhileDataset	DataOps.takeWhileDataset(Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, ConcreteFunction predicate, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, TakeWhileDataset.Options... options) Creates a dataset that stops iteration when predicate` is false.
TakeWhileDataset	DataOps.takeWhileDataset(Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, ConcreteFunction predicate, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, TakeWhileDataset.Options... options) Creates a dataset that stops iteration when predicate` is false.
TensorArrayClose	Ops.tensorArrayClose(Operand<? extends TType> handle) Delete the TensorArray from its resource container.
<T extends TType> TensorArrayConcat<T>	Ops.tensorArrayConcat(Operand<? extends TType> handle, Operand<TFloat32> flowIn, Class<T> dtype, TensorArrayConcat.Options... options) Concat the elements from the TensorArray into value value.
<T extends TType> TensorArrayGather<T>	Ops.tensorArrayGather(Operand<? extends TType> handle, Operand<TInt32> indices, Operand<TFloat32> flowIn, Class<T> dtype, TensorArrayGather.Options... options) Gather specific elements from the TensorArray into output value.
TensorArrayGrad	Ops.tensorArrayGrad(Operand<? extends TType> handle, Operand<TFloat32> flowIn, String source) Creates a TensorArray for storing the gradients of values in the given handle.
TensorArrayGradWithShape	Ops.tensorArrayGradWithShape(Operand<? extends TType> handle, Operand<TFloat32> flowIn, Operand<TInt32> shapeToPrepend, String source) Creates a TensorArray for storing multiple gradients of values in the given handle.
<T extends TType> TensorArrayRead<T>	Ops.tensorArrayRead(Operand<? extends TType> handle, Operand<TInt32> index, Operand<TFloat32> flowIn, Class<T> dtype) Read an element from the TensorArray into output value.
TensorArrayScatter	Ops.tensorArrayScatter(Operand<? extends TType> handle, Operand<TInt32> indices, Operand<? extends TType> value, Operand<TFloat32> flowIn) Scatter the data from the input value into specific TensorArray elements.
TensorArrayScatter	Ops.tensorArrayScatter(Operand<? extends TType> handle, Operand<TInt32> indices, Operand<? extends TType> value, Operand<TFloat32> flowIn) Scatter the data from the input value into specific TensorArray elements.
TensorArraySize	Ops.tensorArraySize(Operand<? extends TType> handle, Operand<TFloat32> flowIn) Get the current size of the TensorArray.
TensorArraySplit	Ops.tensorArraySplit(Operand<? extends TType> handle, Operand<? extends TType> value, Operand<TInt64> lengths, Operand<TFloat32> flowIn) Split the data from the input value into TensorArray elements.
TensorArraySplit	Ops.tensorArraySplit(Operand<? extends TType> handle, Operand<? extends TType> value, Operand<TInt64> lengths, Operand<TFloat32> flowIn) Split the data from the input value into TensorArray elements.
TensorArrayUnpack	Ops.tensorArrayUnpack(Operand<TString> handle, Operand<? extends TType> value, Operand<TFloat32> flowIn) The TensorArrayUnpack operation
TensorArrayWrite	Ops.tensorArrayWrite(Operand<? extends TType> handle, Operand<TInt32> index, Operand<? extends TType> value, Operand<TFloat32> flowIn) Push an element onto the tensor_array.
TensorArrayWrite	Ops.tensorArrayWrite(Operand<? extends TType> handle, Operand<TInt32> index, Operand<? extends TType> value, Operand<TFloat32> flowIn) Push an element onto the tensor_array.
<U extends TType> TensorListConcat<U>	Ops.tensorListConcat(Operand<? extends TType> inputHandle, Operand<? extends TNumber> elementShape, Operand<TInt64> leadingDims, Class<U> elementDtype) Concats all tensors in the list along the 0th dimension.
<T extends TType> TensorListConcatLists	Ops.tensorListConcatLists(Operand<? extends TType> inputA, Operand<? extends TType> inputB, Class<T> elementDtype) The TensorListConcatLists operation
<T extends TType> TensorListConcatLists	Ops.tensorListConcatLists(Operand<? extends TType> inputA, Operand<? extends TType> inputB, Class<T> elementDtype) The TensorListConcatLists operation
<T extends TNumber> TensorListElementShape<T>	Ops.tensorListElementShape(Operand<? extends TType> inputHandle, Class<T> shapeType) The shape of the elements of the given list, as a tensor.
TensorListFromTensor	Ops.tensorListFromTensor(Operand<? extends TType> tensor, Operand<? extends TNumber> elementShape) Creates a TensorList which, when stacked, has the value of tensor.
<T extends TType> TensorListGather<T>	Ops.tensorListGather(Operand<? extends TType> inputHandle, Operand<TInt32> indices, Operand<TInt32> elementShape, Class<T> elementDtype) Creates a Tensor by indexing into the TensorList.
<T extends TType> TensorListGetItem<T>	Ops.tensorListGetItem(Operand<? extends TType> inputHandle, Operand<TInt32> index, Operand<TInt32> elementShape, Class<T> elementDtype) The TensorListGetItem operation
TensorListLength	Ops.tensorListLength(Operand<? extends TType> inputHandle) Returns the number of tensors in the input tensor list.
<T extends TType> TensorListPopBack<T>	Ops.tensorListPopBack(Operand<? extends TType> inputHandle, Operand<TInt32> elementShape, Class<T> elementDtype) Returns the last element of the input list as well as a list with all but that element.
TensorListPushBack	Ops.tensorListPushBack(Operand<? extends TType> inputHandle, Operand<? extends TType> tensor) Returns a list which has the passed-in Tensor as last element and the other elements of the given list in input_handle.
TensorListPushBack	Ops.tensorListPushBack(Operand<? extends TType> inputHandle, Operand<? extends TType> tensor) Returns a list which has the passed-in Tensor as last element and the other elements of the given list in input_handle.
TensorListPushBackBatch	Ops.tensorListPushBackBatch(Operand<? extends TType> inputHandles, Operand<? extends TType> tensor) The TensorListPushBackBatch operation
TensorListPushBackBatch	Ops.tensorListPushBackBatch(Operand<? extends TType> inputHandles, Operand<? extends TType> tensor) The TensorListPushBackBatch operation
TensorListResize	Ops.tensorListResize(Operand<? extends TType> inputHandle, Operand<TInt32> sizeOutput) Resizes the list.
TensorListScatter	Ops.tensorListScatter(Operand<? extends TType> tensor, Operand<TInt32> indices, Operand<? extends TNumber> elementShape, Operand<TInt32> numElements) Creates a TensorList by indexing into a Tensor.
TensorListScatterIntoExistingList	Ops.tensorListScatterIntoExistingList(Operand<? extends TType> inputHandle, Operand<? extends TType> tensor, Operand<TInt32> indices) Scatters tensor at indices in an input list.
TensorListScatterIntoExistingList	Ops.tensorListScatterIntoExistingList(Operand<? extends TType> inputHandle, Operand<? extends TType> tensor, Operand<TInt32> indices) Scatters tensor at indices in an input list.
TensorListSetItem	Ops.tensorListSetItem(Operand<? extends TType> inputHandle, Operand<TInt32> index, Operand<? extends TType> item) The TensorListSetItem operation
TensorListSetItem	Ops.tensorListSetItem(Operand<? extends TType> inputHandle, Operand<TInt32> index, Operand<? extends TType> item) The TensorListSetItem operation
TensorListSplit	Ops.tensorListSplit(Operand<? extends TType> tensor, Operand<? extends TNumber> elementShape, Operand<TInt64> lengths) Splits a tensor into a list.
<T extends TType> TensorListStack<T>	Ops.tensorListStack(Operand<? extends TType> inputHandle, Operand<TInt32> elementShape, Class<T> elementDtype, TensorListStack.Options... options) Stacks all tensors in the list.
<U extends TType> TensorMapErase	Ops.tensorMapErase(Operand<? extends TType> inputHandle, Operand<? extends TType> key, Class<U> valueDtype) Returns a tensor map with item from given key erased.
<U extends TType> TensorMapErase	Ops.tensorMapErase(Operand<? extends TType> inputHandle, Operand<? extends TType> key, Class<U> valueDtype) Returns a tensor map with item from given key erased.
TensorMapHasKey	Ops.tensorMapHasKey(Operand<? extends TType> inputHandle, Operand<? extends TType> key) Returns whether the given key exists in the map.
TensorMapHasKey	Ops.tensorMapHasKey(Operand<? extends TType> inputHandle, Operand<? extends TType> key) Returns whether the given key exists in the map.
TensorMapInsert	Ops.tensorMapInsert(Operand<? extends TType> inputHandle, Operand<? extends TType> key, Operand<? extends TType> value) Returns a map that is the 'input_handle' with the given key-value pair inserted.
TensorMapInsert	Ops.tensorMapInsert(Operand<? extends TType> inputHandle, Operand<? extends TType> key, Operand<? extends TType> value) Returns a map that is the 'input_handle' with the given key-value pair inserted.
TensorMapInsert	Ops.tensorMapInsert(Operand<? extends TType> inputHandle, Operand<? extends TType> key, Operand<? extends TType> value) Returns a map that is the 'input_handle' with the given key-value pair inserted.
<U extends TType> TensorMapLookup<U>	Ops.tensorMapLookup(Operand<? extends TType> inputHandle, Operand<? extends TType> key, Class<U> valueDtype) Returns the value from a given key in a tensor map.
<U extends TType> TensorMapLookup<U>	Ops.tensorMapLookup(Operand<? extends TType> inputHandle, Operand<? extends TType> key, Class<U> valueDtype) Returns the value from a given key in a tensor map.
TensorMapSize	Ops.tensorMapSize(Operand<? extends TType> inputHandle) Returns the number of tensors in the input tensor map.
<T extends TType> TensorMapStackKeys<T>	Ops.tensorMapStackKeys(Operand<? extends TType> inputHandle, Class<T> keyDtype) Returns a Tensor stack of all keys in a tensor map.
TensorSummary	SummaryOps.tensorSummary(Operand<TString> tag, Operand<? extends TType> tensor, Operand<TString> serializedSummaryMetadata) Outputs a Summary protocol buffer with a tensor and per-plugin data.
ThreadPoolDataset	DataOps.threadPoolDataset(Operand<? extends TType> inputDataset, Operand<? extends TType> threadPool, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Creates a dataset that uses a custom thread pool to compute input_dataset.
ThreadPoolDataset	DataOps.threadPoolDataset(Operand<? extends TType> inputDataset, Operand<? extends TType> threadPool, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Creates a dataset that uses a custom thread pool to compute input_dataset.
ThreadPoolDataset	DataOps.threadPoolDataset(Operand<? extends TType> inputDataset, Operand<? extends TType> threadPool, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Creates a dataset that uses a custom thread pool to compute input_dataset.
UnbatchDataset	DataOps.unbatchDataset(Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, UnbatchDataset.Options... options) A dataset that splits the elements of its input into multiple elements.
UnbatchDataset	DataOps.unbatchDataset(Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, UnbatchDataset.Options... options) A dataset that splits the elements of its input into multiple elements.
UniqueDataset	DataOps.uniqueDataset(Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, UniqueDataset.Options... options) Creates a dataset that contains the unique elements of input_dataset.
UniqueDataset	DataOps.uniqueDataset(Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, UniqueDataset.Options... options) Creates a dataset that contains the unique elements of input_dataset.
Unstage	Ops.unstage(List<Class<? extends TType>> dtypes, Unstage.Options... options) Op is similar to a lightweight Dequeue.
UnwrapDatasetVariant	DataOps.unwrapDatasetVariant(Operand<? extends TType> inputHandle) The UnwrapDatasetVariant operation
VariableShape<TInt32>	Ops.variableShape(Operand<? extends TType> input) Returns the shape of the variable pointed to by resource.
<T extends TNumber> VariableShape<T>	Ops.variableShape(Operand<? extends TType> input, Class<T> outType) Returns the shape of the variable pointed to by resource.
VarIsInitializedOp	Ops.varIsInitializedOp(Operand<? extends TType> resource) Checks whether a resource handle-based variable has been initialized.
Where	Ops.where(Operand<? extends TType> condition) Returns locations of nonzero / true values in a tensor.
WindowDataset	DataOps.windowDataset(Operand<? extends TType> inputDataset, Operand<TInt64> sizeOutput, Operand<TInt64> shift, Operand<TInt64> stride, Operand<TBool> dropRemainder, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, WindowDataset.Options... options) Combines (nests of) input elements into a dataset of (nests of) windows.
WindowDataset	DataOps.windowDataset(Operand<? extends TType> inputDataset, Operand<TInt64> sizeOutput, Operand<TInt64> shift, Operand<TInt64> stride, Operand<TBool> dropRemainder, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, WindowDataset.Options... options) Combines (nests of) input elements into a dataset of (nests of) windows.
WrapDatasetVariant	DataOps.wrapDatasetVariant(Operand<? extends TType> inputHandle) The WrapDatasetVariant operation
XlaHostCompute	XlaOps.xlaHostCompute(Iterable<Operand<?>> inputs, List<Class<? extends TType>> Toutputs, List<String> ancestors, List<org.tensorflow.ndarray.Shape> shapes, ConcreteFunction shapeInferenceGraph, String key, XlaHostCompute.Options... options) A pseudo-op to represent host-side computation in an XLA program.
XlaLaunch	XlaOps.xlaLaunch(Iterable<Operand<?>> constants, Iterable<Operand<?>> args, Iterable<Operand<? extends TType>> resources, List<Class<? extends TType>> Tresults, ConcreteFunction function) XLA Launch Op.
XlaLaunch	XlaOps.xlaLaunch(Iterable<Operand<?>> constants, Iterable<Operand<?>> args, Iterable<Operand<? extends TType>> resources, List<Class<? extends TType>> Tresults, ConcreteFunction function) XLA Launch Op.
XlaSendToHost	XlaOps.xlaSendToHost(Operand<? extends TType> input, String key) An op to send a tensor to the host.
ZipDataset	DataOps.zipDataset(Iterable<Operand<? extends TType>> inputDatasets, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ZipDataset.Options... options) Creates a dataset that zips together input_datasets.
ZipDataset	DataOps.zipDataset(Iterable<Operand<? extends TType>> inputDatasets, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ZipDataset.Options... options) Creates a dataset that zips together input_datasets.

Uses of TType in org.tensorflow.op.collective

Classes in org.tensorflow.op.collective with type parameters of type TType

Modifier and Type	Class and Description
class	CollectiveBcastRecv<U extends TType> Receives a tensor value broadcast from another device.
class	CollectiveBcastSend<T extends TType> Broadcasts a tensor value to one or more other devices.
static class	CollectiveBcastSend.Inputs<T extends TType>
class	CollectivePermute<T extends TType> An Op to permute tensors across replicated TPU instances.
static class	CollectivePermute.Inputs<T extends TType>

Fields in org.tensorflow.op.collective with type parameters of type TType

Modifier and Type	Field and Description
Operand<? extends TType>	CollectiveReduce.Inputs.communicator The communicator input
Operand<? extends TType>	CollectiveAllToAll.Inputs.communicator The communicator input
Iterable<Operand<? extends TType>>	CollectiveGather.Inputs.orderingToken The orderingToken input

Methods in org.tensorflow.op.collective with type parameters of type TType

Modifier and Type	Method and Description
static <T extends TType> CollectivePermute<T>	CollectivePermute.create(Scope scope, Operand<T> input, Operand<TInt32> sourceTargetPairs) Factory method to create a class wrapping a new CollectivePermute operation.
static <T extends TType> CollectiveBcastSend<T>	CollectiveBcastSend.create(Scope scope, Operand<T> input, Operand<TInt32> groupSize, Operand<TInt32> groupKey, Operand<TInt32> instanceKey, CollectiveBcastSend.Options... options) Factory method to create a class wrapping a new CollectiveBcastSendV2 operation.
static <U extends TType> CollectiveBcastRecv<U>	CollectiveBcastRecv.create(Scope scope, Operand<TInt32> groupSize, Operand<TInt32> groupKey, Operand<TInt32> instanceKey, Operand<? extends TNumber> shape, Class<U> T, CollectiveBcastRecv.Options... options) Factory method to create a class wrapping a new CollectiveBcastRecvV2 operation.

Methods in org.tensorflow.op.collective that return types with arguments of type TType

Modifier and Type	Method and Description
Output<TType>	CollectiveInitializeCommunicator.asOutput()
Output<? extends TType>	CollectiveInitializeCommunicator.communicator() Gets communicator.

Method parameters in org.tensorflow.op.collective with type arguments of type TType

Modifier and Type	Method and Description
static <T extends TNumber> CollectiveAllToAll<T>	CollectiveAllToAll.create(Scope scope, Operand<T> input, Operand<? extends TType> communicator, Operand<TInt32> groupAssignment, CollectiveAllToAll.Options... options) Factory method to create a class wrapping a new CollectiveAllToAllV3 operation.
static <T extends TNumber> CollectiveReduce<T>	CollectiveReduce.create(Scope scope, Operand<T> input, Operand<? extends TType> communicator, Operand<TInt32> groupAssignment, String reduction, CollectiveReduce.Options... options) Factory method to create a class wrapping a new CollectiveReduceV3 operation.
static <T extends TNumber> CollectiveGather<T>	CollectiveGather.create(Scope scope, Operand<T> input, Operand<TInt32> groupSize, Operand<TInt32> groupKey, Operand<TInt32> instanceKey, Iterable<Operand<? extends TType>> orderingToken, CollectiveGather.Options... options) Factory method to create a class wrapping a new CollectiveGatherV2 operation.

Uses of TType in org.tensorflow.op.core

Classes in org.tensorflow.op.core with type parameters of type TType

Modifier and Type	Class and Description
class	Assign<T extends TType> Update 'ref' by assigning 'value' to it.
static class	Assign.Inputs<T extends TType>
class	AssignAdd<T extends TType> Update 'ref' by adding 'value' to it.
static class	AssignAdd.Inputs<T extends TType>
class	AssignSub<T extends TType> Update 'ref' by subtracting 'value' from it.
static class	AssignSub.Inputs<T extends TType>
class	BatchToSpace<T extends TType> BatchToSpace for 4-D tensors of type T.
static class	BatchToSpace.Inputs<T extends TType>
class	BatchToSpaceNd<T extends TType> BatchToSpace for N-D tensors of type T.
static class	BatchToSpaceNd.Inputs<T extends TType>
class	Bitcast<U extends TType> Bitcasts a tensor from one type to another without copying data.
class	BroadcastTo<T extends TType> Broadcast an array for a compatible shape.
static class	BroadcastTo.Inputs<T extends TType>
class	ClipByValue<T extends TType> Clips tensor values to a specified min and max.
static class	ClipByValue.Inputs<T extends TType>
class	Concat<T extends TType> Concatenates tensors along one dimension.
static class	Concat.Inputs<T extends TType>
class	Constant<T extends TType> An operator producing a constant value.
class	Copy<T extends TType> Copy a tensor from CPU-to-CPU or GPU-to-GPU.
static class	Copy.Inputs<T extends TType>
class	CopyHost<T extends TType> Copy a tensor to host.
static class	CopyHost.Inputs<T extends TType>
class	DeepCopy<T extends TType> Makes a copy of x.
static class	DeepCopy.Inputs<T extends TType>
class	DestroyTemporaryVariable<T extends TType> Destroys the temporary variable and returns its final value.
static class	DestroyTemporaryVariable.Inputs<T extends TType>
class	DynamicPartition<T extends TType> Partitions data into num_partitions tensors using indices from partitions.
static class	DynamicPartition.Inputs<T extends TType>
class	DynamicStitch<T extends TType> Interleave the values from the data tensors into a single tensor.
static class	DynamicStitch.Inputs<T extends TType>
static class	EditDistance.Inputs<T extends TType>
class	Empty<T extends TType> Creates a tensor with the given shape.
class	EnsureShape<T extends TType> Ensures that the tensor's shape matches the expected shape.
static class	EnsureShape.Inputs<T extends TType>
class	Enter<T extends TType> Creates or finds a child frame, and makes data available to the child frame.
static class	Enter.Inputs<T extends TType>
class	Exit<T extends TType> Exits the current frame to its parent frame.
static class	Exit.Inputs<T extends TType>
class	ExpandDims<T extends TType> Inserts a dimension of 1 into a tensor's shape.
static class	ExpandDims.Inputs<T extends TType>
class	Fill<U extends TType> Creates a tensor filled with a scalar value.
static class	Fill.Inputs<U extends TType>
class	Gather<T extends TType> Gather slices from params axis axis according to indices.
static class	Gather.Inputs<T extends TType>
class	GatherNd<T extends TType> Gather slices from params into a Tensor with shape specified by indices.
static class	GatherNd.Inputs<T extends TType>
class	GetSessionTensor<T extends TType> Get the value of the tensor specified by its handle.
class	GuaranteeConst<T extends TType> Gives a guarantee to the TF runtime that the input tensor is a constant.
static class	GuaranteeConst.Inputs<T extends TType>
class	Identity<T extends TType> Return a tensor with the same shape and contents as the input tensor or value.
static class	Identity.Inputs<T extends TType>
class	ImmutableConst<T extends TType> Returns immutable tensor from memory region.
class	InplaceAdd<T extends TType> Adds v into specified rows of x.
static class	InplaceAdd.Inputs<T extends TType>
class	InplaceSub<T extends TType> Subtracts `v` into specified rows of `x`.
static class	InplaceSub.Inputs<T extends TType>
class	InplaceUpdate<T extends TType> Updates specified rows 'i' with values 'v'.
static class	InplaceUpdate.Inputs<T extends TType>
class	LookupTableExport<T extends TType,U extends TType> Outputs all keys and values in the table.
class	LookupTableExport<T extends TType,U extends TType> Outputs all keys and values in the table.
class	LookupTableFind<U extends TType> Looks up keys in a table, outputs the corresponding values.
static class	LookupTableFind.Inputs<U extends TType>
static class	LowerBound.Inputs<T extends TType>
class	Merge<T extends TType> Forwards the value of an available tensor from inputs to output.
static class	Merge.Inputs<T extends TType>
class	MirrorPad<T extends TType> Pads a tensor with mirrored values.
static class	MirrorPad.Inputs<T extends TType>
class	MirrorPadGrad<T extends TType> Gradient op for MirrorPad op.
static class	MirrorPadGrad.Inputs<T extends TType>
static class	MutableDenseHashTable.Inputs<T extends TType>
class	NextIteration<T extends TType> Makes its input available to the next iteration.
static class	NextIteration.Inputs<T extends TType>
class	OneHot<U extends TType> Returns a one-hot tensor.
static class	OneHot.Inputs<U extends TType>
class	Ones<T extends TType> An operator creating a constant initialized with ones of the shape given by `dims`.
class	OnesLike<T extends TType> Returns a tensor of ones with the same shape and type as x.
static class	OnesLike.Inputs<T extends TType>
class	Pad<T extends TType> Pads a tensor.
static class	Pad.Inputs<T extends TType>
class	ParallelConcat<T extends TType> Concatenates a list of N tensors along the first dimension.
static class	ParallelConcat.Inputs<T extends TType>
class	ParallelDynamicStitch<T extends TType> Interleave the values from the data tensors into a single tensor.
static class	ParallelDynamicStitch.Inputs<T extends TType>
class	Placeholder<T extends TType> A placeholder op for a value that will be fed into the computation.
class	PlaceholderWithDefault<T extends TType> A placeholder op that passes through input when its output is not fed.
static class	PlaceholderWithDefault.Inputs<T extends TType>
class	Prod<T extends TType> Computes the product of elements across dimensions of a tensor.
static class	Prod.Inputs<T extends TType>
class	QuantizedReshape<T extends TType> Reshapes a quantized tensor as per the Reshape op.
static class	QuantizedReshape.Inputs<T extends TType>
class	ReadVariableOp<T extends TType> Reads the value of a variable.
class	Recv<T extends TType> Receives the named tensor from send_device on recv_device.
class	ReduceProd<T extends TType> Computes the product of elements across dimensions of a tensor.
static class	ReduceProd.Inputs<T extends TType>
class	ReduceSum<T extends TType> Computes the sum of elements across dimensions of a tensor.
static class	ReduceSum.Inputs<T extends TType>
class	RefEnter<T extends TType> Creates or finds a child frame, and makes data available to the child frame.
static class	RefEnter.Inputs<T extends TType>
class	RefExit<T extends TType> Exits the current frame to its parent frame.
static class	RefExit.Inputs<T extends TType>
class	RefIdentity<T extends TType> Return the same ref tensor as the input ref tensor.
static class	RefIdentity.Inputs<T extends TType>
class	RefMerge<T extends TType> Forwards the value of an available tensor from inputs to output.
static class	RefMerge.Inputs<T extends TType>
class	RefNextIteration<T extends TType> Makes its input available to the next iteration.
static class	RefNextIteration.Inputs<T extends TType>
class	RefSelect<T extends TType> Forwards the indexth element of inputs to output.
static class	RefSelect.Inputs<T extends TType>
class	RefSwitch<T extends TType> Forwards the ref tensor data to the output port determined by pred.
static class	RefSwitch.Inputs<T extends TType>
class	Reshape<T extends TType> Reshapes a tensor.
static class	Reshape.Inputs<T extends TType>
class	ResourceGather<U extends TType> Gather slices from the variable pointed to by resource according to indices.
class	ResourceGatherNd<U extends TType> The ResourceGatherNd operation
class	Reverse<T extends TType> Reverses specific dimensions of a tensor.
static class	Reverse.Inputs<T extends TType>
class	ReverseSequence<T extends TType> Reverses variable length slices.
static class	ReverseSequence.Inputs<T extends TType>
class	Roll<T extends TType> Rolls the elements of a tensor along an axis.
static class	Roll.Inputs<T extends TType>
class	ScatterAdd<T extends TType> Adds sparse updates to a variable reference.
static class	ScatterAdd.Inputs<T extends TType>
class	ScatterDiv<T extends TType> Divides a variable reference by sparse updates.
static class	ScatterDiv.Inputs<T extends TType>
class	ScatterMul<T extends TType> Multiplies sparse updates into a variable reference.
static class	ScatterMul.Inputs<T extends TType>
class	ScatterNd<U extends TType> Scatters updates into a tensor of shape shape according to indices.
static class	ScatterNd.Inputs<T extends TNumber,U extends TType>
class	ScatterNdAdd<T extends TType> Applies sparse addition to individual values or slices in a Variable.
static class	ScatterNdAdd.Inputs<T extends TType>
class	ScatterNdMax<T extends TType> Computes element-wise maximum.
static class	ScatterNdMax.Inputs<T extends TType>
class	ScatterNdMin<T extends TType> Computes element-wise minimum.
static class	ScatterNdMin.Inputs<T extends TType>
class	ScatterNdNonAliasingAdd<T extends TType> Applies sparse addition to input using individual values or slices from updates according to indices indices.
static class	ScatterNdNonAliasingAdd.Inputs<T extends TType>
class	ScatterNdSub<T extends TType> Applies sparse subtraction to individual values or slices in a Variable.
static class	ScatterNdSub.Inputs<T extends TType>
class	ScatterNdUpdate<T extends TType> Applies sparse updates to individual values or slices within a given variable according to indices.
static class	ScatterNdUpdate.Inputs<T extends TType>
class	ScatterSub<T extends TType> Subtracts sparse updates to a variable reference.
static class	ScatterSub.Inputs<T extends TType>
class	ScatterUpdate<T extends TType> Applies sparse updates to a variable reference.
static class	ScatterUpdate.Inputs<T extends TType>
class	Select<T extends TType> The SelectV2 operation
static class	Select.Inputs<T extends TType>
class	SetDiff1d<T extends TType,U extends TNumber> Computes the difference between two lists of numbers or strings.
static class	SetDiff1d.Inputs<T extends TType>
class	Slice<T extends TType> Return a slice from 'input'.
static class	Slice.Inputs<T extends TType,U extends TNumber>
class	Snapshot<T extends TType> Returns a copy of the input tensor.
static class	Snapshot.Inputs<T extends TType>
class	SpaceToBatchNd<T extends TType> SpaceToBatch for N-D tensors of type T.
static class	SpaceToBatchNd.Inputs<T extends TType>
class	Split<T extends TType> Splits a tensor into num_split tensors along one dimension.
static class	Split.Inputs<T extends TType>
class	SplitV<T extends TType> Splits a tensor into num_split tensors along one dimension.
static class	SplitV.Inputs<T extends TType>
class	Squeeze<T extends TType> Removes dimensions of size 1 from the shape of a tensor.
static class	Squeeze.Inputs<T extends TType>
class	Stack<T extends TType> Packs a list of N rank-R tensors into one rank-(R+1) tensor.
static class	Stack.Inputs<T extends TType>
class	StopGradient<T extends TType> Stops gradient computation.
static class	StopGradient.Inputs<T extends TType>
class	StridedSlice<T extends TType> Return a strided slice from input.
static class	StridedSlice.Inputs<T extends TType,U extends TNumber>
class	StridedSliceAssign<T extends TType> Assign value to the sliced l-value reference of ref.
static class	StridedSliceAssign.Inputs<T extends TType,U extends TNumber>
class	StridedSliceGrad<U extends TType> Returns the gradient of StridedSlice.
static class	StridedSliceGrad.Inputs<T extends TNumber,U extends TType>
class	Sum<T extends TType> Computes the sum of elements across dimensions of a tensor.
static class	Sum.Inputs<T extends TType>
class	SwitchCond<T extends TType> Forwards data to the output port determined by pred.
static class	SwitchCond.Inputs<T extends TType>
class	TemporaryVariable<T extends TType> Returns a tensor that may be mutated, but only persists within a single step.
class	TensorArrayConcat<T extends TType> Concat the elements from the TensorArray into value value.
class	TensorArrayGather<T extends TType> Gather specific elements from the TensorArray into output value.
class	TensorArrayPack<T extends TType> The TensorArrayPack operation
class	TensorArrayRead<T extends TType> Read an element from the TensorArray into output value.
class	TensorListConcat<U extends TType> Concats all tensors in the list along the 0th dimension.
class	TensorListGather<T extends TType> Creates a Tensor by indexing into the TensorList.
class	TensorListGetItem<T extends TType> The TensorListGetItem operation
class	TensorListPopBack<T extends TType> Returns the last element of the input list as well as a list with all but that element.
class	TensorListStack<T extends TType> Stacks all tensors in the list.
class	TensorMapLookup<U extends TType> Returns the value from a given key in a tensor map.
class	TensorMapStackKeys<T extends TType> Returns a Tensor stack of all keys in a tensor map.
class	TensorScatterNdAdd<T extends TType> Adds sparse updates to an existing tensor according to indices.
static class	TensorScatterNdAdd.Inputs<T extends TType>
class	TensorScatterNdMax<T extends TType> The TensorScatterMax operation
static class	TensorScatterNdMax.Inputs<T extends TType>
class	TensorScatterNdMin<T extends TType> The TensorScatterMin operation
static class	TensorScatterNdMin.Inputs<T extends TType>
class	TensorScatterNdSub<T extends TType> Subtracts sparse updates from an existing tensor according to indices.
static class	TensorScatterNdSub.Inputs<T extends TType>
class	TensorScatterNdUpdate<T extends TType> Scatter updates into an existing tensor according to indices.
static class	TensorScatterNdUpdate.Inputs<T extends TType>
class	TensorStridedSliceUpdate<T extends TType> Assign value to the sliced l-value reference of input.
static class	TensorStridedSliceUpdate.Inputs<T extends TType,U extends TNumber>
class	Tile<T extends TType> Constructs a tensor by tiling a given tensor.
static class	Tile.Inputs<T extends TType>
class	Unbatch<T extends TType> Reverses the operation of Batch for a single output Tensor.
static class	Unbatch.Inputs<T extends TType>
class	UnbatchGrad<T extends TType> Gradient of Unbatch.
static class	UnbatchGrad.Inputs<T extends TType>
class	Unique<T extends TType,V extends TNumber> Finds unique elements along an axis of a tensor.
static class	Unique.Inputs<T extends TType>
class	UniqueWithCounts<T extends TType,V extends TNumber> Finds unique elements along an axis of a tensor.
static class	UniqueWithCounts.Inputs<T extends TType>
class	Unstack<T extends TType> Unpacks a given dimension of a rank-R tensor into num rank-(R-1) tensors.
static class	Unstack.Inputs<T extends TType>
static class	UpperBound.Inputs<T extends TType>
class	Variable<T extends TType> Holds state in the form of a tensor that persists across steps.
class	Zeros<T extends TType> An operator creating a constant initialized with zeros of the shape given by `dims`.
class	ZerosLike<T extends TType> Returns a tensor of zeros with the same shape and type as x.
static class	ZerosLike.Inputs<T extends TType>

Fields in org.tensorflow.op.core with type parameters of type TType

Modifier and Type	Field and Description
Operand<? extends TType>	StatelessIf.Inputs.cond A Tensor.
Operand<? extends TType>	StatefulIf.Inputs.cond A Tensor.
Operand<? extends TType>	Where.Inputs.condition The condition input
Operand<? extends TType>	Fingerprint.Inputs.data Must have rank 1 or higher.
Operand<? extends TType>	GetElementAtIndex.Inputs.dataset The dataset input
Operand<? extends TType>	CompositeTensorVariantToComponents.Inputs.encoded A scalar variant Tensor containing an encoded ExtensionType value.
Operand<? extends TType>	TensorArrayWrite.Inputs.handle The handle to a TensorArray.
Operand<? extends TType>	TensorArraySplit.Inputs.handle The handle to a TensorArray.
Operand<? extends TType>	TensorArraySize.Inputs.handle The handle to a TensorArray (output of TensorArray or TensorArrayGrad).
Operand<? extends TType>	TensorArrayScatter.Inputs.handle The handle to a TensorArray.
Operand<? extends TType>	TensorArrayRead.Inputs.handle The handle to a TensorArray.
Operand<? extends TType>	TensorArrayGradWithShape.Inputs.handle The handle to the forward TensorArray.
Operand<? extends TType>	TensorArrayGrad.Inputs.handle The handle to the forward TensorArray.
Operand<? extends TType>	TensorArrayGather.Inputs.handle The handle to a TensorArray.
Operand<? extends TType>	TensorArrayConcat.Inputs.handle The handle to a TensorArray.
Operand<? extends TType>	TensorArrayClose.Inputs.handle The handle to a TensorArray (output of TensorArray or TensorArrayGrad).
Operand<? extends TType>	VariableShape.Inputs.input The input input
Operand<? extends TType>	Size.Inputs.input The input input
Iterable<Operand<? extends TType>>	ShapeN.Inputs.input The input input
Operand<? extends TType>	Shape.Inputs.input The input input
Operand<? extends TType>	Rank.Inputs.input The input input
Operand<? extends TType>	Bitcast.Inputs.input The input input
Operand<? extends TType>	TensorListConcatLists.Inputs.inputA The inputA input
Operand<? extends TType>	TensorListConcatLists.Inputs.inputB The inputB input
Operand<? extends TType>	GetOptions.Inputs.inputDataset A variant tensor representing the input dataset.
Operand<? extends TType>	TensorMapStackKeys.Inputs.inputHandle The inputHandle input
Operand<? extends TType>	TensorMapSize.Inputs.inputHandle The inputHandle input
Operand<? extends TType>	TensorMapLookup.Inputs.inputHandle The inputHandle input
Operand<? extends TType>	TensorMapInsert.Inputs.inputHandle The inputHandle input
Operand<? extends TType>	TensorMapHasKey.Inputs.inputHandle The inputHandle input
Operand<? extends TType>	TensorMapErase.Inputs.inputHandle The inputHandle input
Operand<? extends TType>	TensorListStack.Inputs.inputHandle The inputHandle input
Operand<? extends TType>	TensorListSetItem.Inputs.inputHandle The inputHandle input
Operand<? extends TType>	TensorListScatterIntoExistingList.Inputs.inputHandle The inputHandle input
Operand<? extends TType>	TensorListResize.Inputs.inputHandle The inputHandle input
Operand<? extends TType>	TensorListPushBack.Inputs.inputHandle The inputHandle input
Operand<? extends TType>	TensorListPopBack.Inputs.inputHandle The inputHandle input
Operand<? extends TType>	TensorListLength.Inputs.inputHandle The inputHandle input
Operand<? extends TType>	TensorListGetItem.Inputs.inputHandle The inputHandle input
Operand<? extends TType>	TensorListGather.Inputs.inputHandle The inputHandle input
Operand<? extends TType>	TensorListElementShape.Inputs.inputHandle The inputHandle input
Operand<? extends TType>	TensorListConcat.Inputs.inputHandle The inputHandle input
Operand<? extends TType>	TensorListPushBackBatch.Inputs.inputHandles The inputHandles input
Operand<? extends TType>	TensorListSetItem.Inputs.item The item input
Operand<? extends TType>	TensorMapLookup.Inputs.key The key input
Operand<? extends TType>	TensorMapInsert.Inputs.key The key input
Operand<? extends TType>	TensorMapHasKey.Inputs.key The key input
Operand<? extends TType>	TensorMapErase.Inputs.key The key input
Operand<? extends TType>	LookupTableRemove.Inputs.keys Any shape.
Operand<? extends TType>	LookupTableInsert.Inputs.keys Any shape.
Operand<? extends TType>	LookupTableImport.Inputs.keys Any shape.
Operand<? extends TType>	LookupTableFind.Inputs.keys Any shape.
Operand<? extends TType>	InitializeTable.Inputs.keys Keys of type Tkey.
Operand<? extends TType>	MutexLock.Inputs.mutex The mutex resource to lock.
Operand<? extends TType>	ConsumeMutexLock.Inputs.mutexLock A tensor returned by MutexLock.
Operand<? extends TType>	ResourceStridedSliceAssign.Inputs.ref The ref input
Operand<? extends TType>	ResourceScatterNdUpdate.Inputs.ref A resource handle.
Operand<? extends TType>	ResourceScatterNdSub.Inputs.ref A resource handle.
Operand<? extends TType>	ResourceScatterNdMin.Inputs.ref A resource handle.
Operand<? extends TType>	ResourceScatterNdMax.Inputs.ref A resource handle.
Operand<? extends TType>	ResourceScatterNdAdd.Inputs.ref A resource handle.
Operand<? extends TType>	IsVariableInitialized.Inputs.ref Should be from a Variable node.
Operand<? extends TType>	VarIsInitializedOp.Inputs.resource the input resource handle.
Operand<? extends TType>	ResourceScatterUpdate.Inputs.resource Should be from a Variable node.
Operand<? extends TType>	ResourceScatterSub.Inputs.resource Should be from a Variable node.
Operand<? extends TType>	ResourceScatterMul.Inputs.resource Should be from a Variable node.
Operand<? extends TType>	ResourceScatterMin.Inputs.resource Should be from a Variable node.
Operand<? extends TType>	ResourceScatterMax.Inputs.resource Should be from a Variable node.
Operand<? extends TType>	ResourceScatterDiv.Inputs.resource Should be from a Variable node.
Operand<? extends TType>	ResourceScatterAdd.Inputs.resource Should be from a Variable node.
Operand<? extends TType>	ResourceGatherNd.Inputs.resource The resource input
Operand<? extends TType>	ResourceGather.Inputs.resource The resource input
Operand<? extends TType>	ResourceCountUpTo.Inputs.resource Should be from a scalar Variable node.
Operand<? extends TType>	ReadVariableOp.Inputs.resource handle to the resource in which to store the variable.
Operand<? extends TType>	DestroyResourceOp.Inputs.resource handle to the resource to delete.
Operand<? extends TType>	AssignVariableOp.Inputs.resource handle to the resource in which to store the variable.
Operand<? extends TType>	AssignSubVariableOp.Inputs.resource handle to the resource in which to store the variable.
Operand<? extends TType>	AssignAddVariableOp.Inputs.resource handle to the resource in which to store the variable.
Operand<? extends TType>	SetSize.Inputs.setValues 1D Tensor, values of a SparseTensor.
Operand<? extends TType>	LookupTableSize.Inputs.tableHandle Handle to the table.
Operand<? extends TType>	LookupTableRemove.Inputs.tableHandle Handle to the table.
Operand<? extends TType>	LookupTableInsert.Inputs.tableHandle Handle to the table.
Operand<? extends TType>	LookupTableImport.Inputs.tableHandle Handle to the table.
Operand<? extends TType>	LookupTableFind.Inputs.tableHandle Handle to the table.
Operand<? extends TType>	LookupTableExport.Inputs.tableHandle Handle to the table.
Operand<? extends TType>	InitializeTableFromTextFile.Inputs.tableHandle Handle to a table which will be initialized.
Operand<? extends TType>	InitializeTable.Inputs.tableHandle Handle to a table which will be initialized.
Operand<? extends TType>	TensorListSplit.Inputs.tensor The tensor input
Operand<? extends TType>	TensorListScatterIntoExistingList.Inputs.tensor The tensor input
Operand<? extends TType>	TensorListScatter.Inputs.tensor The tensor input
Operand<? extends TType>	TensorListPushBackBatch.Inputs.tensor The tensor input
Operand<? extends TType>	TensorListPushBack.Inputs.tensor The tensor input
Operand<? extends TType>	TensorListFromTensor.Inputs.tensor The tensor input
Operand<? extends TType>	Send.Inputs.tensor The tensor to send.
Operand<? extends TType>	ResourceScatterUpdate.Inputs.updates A tensor of updated values to add to ref.
Operand<? extends TType>	ResourceScatterSub.Inputs.updates A tensor of updated values to add to ref.
Operand<? extends TType>	ResourceScatterNdUpdate.Inputs.updates A Tensor.
Operand<? extends TType>	ResourceScatterNdSub.Inputs.updates A Tensor.
Operand<? extends TType>	ResourceScatterNdMin.Inputs.updates A Tensor.
Operand<? extends TType>	ResourceScatterNdMax.Inputs.updates A Tensor.
Operand<? extends TType>	ResourceScatterNdAdd.Inputs.updates A Tensor.
Operand<? extends TType>	ResourceScatterMul.Inputs.updates A tensor of updated values to add to ref.
Operand<? extends TType>	ResourceScatterMin.Inputs.updates A tensor of updated values to add to ref.
Operand<? extends TType>	ResourceScatterMax.Inputs.updates A tensor of updated values to add to ref.
Operand<? extends TType>	ResourceScatterDiv.Inputs.updates A tensor of updated values to add to ref.
Operand<? extends TType>	ResourceScatterAdd.Inputs.updates A tensor of updated values to add to ref.
Operand<? extends TType>	TensorMapInsert.Inputs.value The value input
Operand<? extends TType>	TensorArrayWrite.Inputs.value The tensor to write to the TensorArray.
Operand<? extends TType>	TensorArrayUnpack.Inputs.value The value input
Operand<? extends TType>	TensorArraySplit.Inputs.value The concatenated tensor to write to the TensorArray.
Operand<? extends TType>	TensorArrayScatter.Inputs.value The concatenated tensor to write to the TensorArray.
Operand<? extends TType>	ResourceStridedSliceAssign.Inputs.value The value input
Operand<? extends TType>	GetSessionHandle.Inputs.value The tensor to be stored.
Operand<? extends TType>	AssignVariableOp.Inputs.value the value to set the new tensor to use.
Operand<? extends TType>	AssignSubVariableOp.Inputs.value the value by which the variable will be incremented.
Operand<? extends TType>	AssignAddVariableOp.Inputs.value the value by which the variable will be incremented.
Operand<? extends TType>	LookupTableInsert.Inputs.values Values to associate with keys.
Operand<? extends TType>	LookupTableImport.Inputs.values Values to associate with keys.
Operand<? extends TType>	InitializeTable.Inputs.values Values of type Tval.
Operand<? extends TType>	BarrierInsertMany.Inputs.values An any-dimensional tensor of values, which are associated with the respective keys.

Methods in org.tensorflow.op.core with type parameters of type TType

Modifier and Type	Method and Description
static <T extends TType,U extends TType> AnonymousHashTable	AnonymousHashTable.create(Scope scope, Class<T> keyDtype, Class<U> valueDtype) Factory method to create a class wrapping a new AnonymousHashTable operation.
static <T extends TType,U extends TType> AnonymousHashTable	AnonymousHashTable.create(Scope scope, Class<T> keyDtype, Class<U> valueDtype) Factory method to create a class wrapping a new AnonymousHashTable operation.
static <T extends TType,U extends TType> HashTable	HashTable.create(Scope scope, Class<T> keyDtype, Class<U> valueDtype, HashTable.Options... options) Factory method to create a class wrapping a new HashTableV2 operation.
static <T extends TType,U extends TType> HashTable	HashTable.create(Scope scope, Class<T> keyDtype, Class<U> valueDtype, HashTable.Options... options) Factory method to create a class wrapping a new HashTableV2 operation.
static <T extends TType,U extends TType> MutableHashTable	MutableHashTable.create(Scope scope, Class<T> keyDtype, Class<U> valueDtype, MutableHashTable.Options... options) Factory method to create a class wrapping a new MutableHashTableV2 operation.
static <T extends TType,U extends TType> MutableHashTable	MutableHashTable.create(Scope scope, Class<T> keyDtype, Class<U> valueDtype, MutableHashTable.Options... options) Factory method to create a class wrapping a new MutableHashTableV2 operation.
static <T extends TType,U extends TType> MutableHashTableOfTensors	MutableHashTableOfTensors.create(Scope scope, Class<T> keyDtype, Class<U> valueDtype, MutableHashTableOfTensors.Options... options) Factory method to create a class wrapping a new MutableHashTableOfTensorsV2 operation.
static <T extends TType,U extends TType> MutableHashTableOfTensors	MutableHashTableOfTensors.create(Scope scope, Class<T> keyDtype, Class<U> valueDtype, MutableHashTableOfTensors.Options... options) Factory method to create a class wrapping a new MutableHashTableOfTensorsV2 operation.
static <T extends TType> Placeholder<T>	Placeholder.create(Scope scope, Class<T> dtype, Placeholder.Options... options) Factory method to create a class wrapping a new Placeholder operation.
static <T extends TType> ImmutableConst<T>	ImmutableConst.create(Scope scope, Class<T> dtype, org.tensorflow.ndarray.Shape shape, String memoryRegionName) Factory method to create a class wrapping a new ImmutableConst operation.
static <T extends TType> VarHandleOp	VarHandleOp.create(Scope scope, Class<T> dtype, org.tensorflow.ndarray.Shape shape, VarHandleOp.Options... options) Factory method to create a class wrapping a new VarHandleOp operation.
static <T extends TType> Recv<T>	Recv.create(Scope scope, Class<T> tensorType, String tensorName, String sendDevice, Long sendDeviceIncarnation, String recvDevice, Recv.Options... options) Factory method to create a class wrapping a new Recv operation.
static <T extends TType> RefMerge<T>	RefMerge.create(Scope scope, Iterable<Operand<T>> inputs) Factory method to create a class wrapping a new RefMerge operation.
static <T extends TType> Merge<T>	Merge.create(Scope scope, Iterable<Operand<T>> inputs) Factory method to create a class wrapping a new Merge operation.
static <T extends TType> Concat<T>	Concat.create(Scope scope, Iterable<Operand<T>> values, Operand<? extends TNumber> axis) Factory method to create a class wrapping a new ConcatV2 operation.
static <T extends TType> ParallelConcat<T>	ParallelConcat.create(Scope scope, Iterable<Operand<T>> values, org.tensorflow.ndarray.Shape shape) Factory method to create a class wrapping a new ParallelConcat operation.
static <T extends TType> Stack<T>	Stack.create(Scope scope, Iterable<Operand<T>> values, Stack.Options... options) Factory method to create a class wrapping a new Pack operation.
static <T extends TType> ParallelDynamicStitch<T>	ParallelDynamicStitch.create(Scope scope, Iterable<Operand<TInt32>> indices, Iterable<Operand<T>> data) Factory method to create a class wrapping a new ParallelDynamicStitch operation.
static <T extends TType> DynamicStitch<T>	DynamicStitch.create(Scope scope, Iterable<Operand<TInt32>> indices, Iterable<Operand<T>> data) Factory method to create a class wrapping a new DynamicStitch operation.
static <T extends TType> Zeros<T>	Zeros.create(Scope scope, Operand<? extends TNumber> dims, Class<T> type) Creates a zeroed tensor given its type and shape.
static <T extends TType> Ones<T>	Ones.create(Scope scope, Operand<? extends TNumber> dims, Class<T> type) Creates a one valued tensor given its type and shape.
static <U extends TType> TensorListReserve	TensorListReserve.create(Scope scope, Operand<? extends TNumber> elementShape, Operand<TInt32> numElements, Class<U> elementDtype) Factory method to create a class wrapping a new TensorListReserve operation.
static <U extends TType> EmptyTensorList	EmptyTensorList.create(Scope scope, Operand<? extends TNumber> elementShape, Operand<TInt32> maxNumElements, Class<U> elementDtype) Factory method to create a class wrapping a new EmptyTensorList operation.
static <U extends TType> OneHot<U>	OneHot.create(Scope scope, Operand<? extends TNumber> indices, Operand<TInt32> depth, Operand<U> onValue, Operand<U> offValue, OneHot.Options... options) Factory method to create a class wrapping a new OneHot operation.
static <U extends TType> Fill<U>	Fill.create(Scope scope, Operand<? extends TNumber> dims, Operand<U> value) Factory method to create a class wrapping a new Fill operation.
static <T extends TType> TensorMapStackKeys<T>	TensorMapStackKeys.create(Scope scope, Operand<? extends TType> inputHandle, Class<T> keyDtype) Factory method to create a class wrapping a new TensorMapStackKeys operation.
static <T extends TType> ReadVariableOp<T>	ReadVariableOp.create(Scope scope, Operand<? extends TType> resource, Class<T> dtype) Factory method to create a class wrapping a new ReadVariableOp operation.
static <T extends TType,U extends TType> LookupTableExport<T,U>	LookupTableExport.create(Scope scope, Operand<? extends TType> tableHandle, Class<T> Tkeys, Class<U> Tvalues) Factory method to create a class wrapping a new LookupTableExportV2 operation.
static <T extends TType,U extends TType> LookupTableExport<T,U>	LookupTableExport.create(Scope scope, Operand<? extends TType> tableHandle, Class<T> Tkeys, Class<U> Tvalues) Factory method to create a class wrapping a new LookupTableExportV2 operation.
static <U extends TType> Bitcast<U>	Bitcast.create(Scope scope, Operand<? extends TType> input, Class<U> type) Factory method to create a class wrapping a new Bitcast operation.
static <U extends TType> ResourceGatherNd<U>	ResourceGatherNd.create(Scope scope, Operand<? extends TType> resource, Operand<? extends TNumber> indices, Class<U> dtype) Factory method to create a class wrapping a new ResourceGatherNd operation.
static <U extends TType> ResourceGather<U>	ResourceGather.create(Scope scope, Operand<? extends TType> resource, Operand<? extends TNumber> indices, Class<U> dtype, ResourceGather.Options... options) Factory method to create a class wrapping a new ResourceGather operation.
static <U extends TType> TensorListConcat<U>	TensorListConcat.create(Scope scope, Operand<? extends TType> inputHandle, Operand<? extends TNumber> elementShape, Operand<TInt64> leadingDims, Class<U> elementDtype) Factory method to create a class wrapping a new TensorListConcatV2 operation.
static <T extends TType> TensorListConcatLists	TensorListConcatLists.create(Scope scope, Operand<? extends TType> inputA, Operand<? extends TType> inputB, Class<T> elementDtype) Factory method to create a class wrapping a new TensorListConcatLists operation.
static <U extends TType> TensorMapLookup<U>	TensorMapLookup.create(Scope scope, Operand<? extends TType> inputHandle, Operand<? extends TType> key, Class<U> valueDtype) Factory method to create a class wrapping a new TensorMapLookup operation.
static <U extends TType> TensorMapErase	TensorMapErase.create(Scope scope, Operand<? extends TType> inputHandle, Operand<? extends TType> key, Class<U> valueDtype) Factory method to create a class wrapping a new TensorMapErase operation.
static <U extends TType> LookupTableFind<U>	LookupTableFind.create(Scope scope, Operand<? extends TType> tableHandle, Operand<? extends TType> keys, Operand<U> defaultValue) Factory method to create a class wrapping a new LookupTableFindV2 operation.
static <T extends TType> TensorArrayConcat<T>	TensorArrayConcat.create(Scope scope, Operand<? extends TType> handle, Operand<TFloat32> flowIn, Class<T> dtype, TensorArrayConcat.Options... options) Factory method to create a class wrapping a new TensorArrayConcatV3 operation.
static <T extends TType> TensorListPopBack<T>	TensorListPopBack.create(Scope scope, Operand<? extends TType> inputHandle, Operand<TInt32> elementShape, Class<T> elementDtype) Factory method to create a class wrapping a new TensorListPopBack operation.
static <T extends TType> TensorListStack<T>	TensorListStack.create(Scope scope, Operand<? extends TType> inputHandle, Operand<TInt32> elementShape, Class<T> elementDtype, TensorListStack.Options... options) Factory method to create a class wrapping a new TensorListStack operation.
static <T extends TType> TensorArrayRead<T>	TensorArrayRead.create(Scope scope, Operand<? extends TType> handle, Operand<TInt32> index, Operand<TFloat32> flowIn, Class<T> dtype) Factory method to create a class wrapping a new TensorArrayReadV3 operation.
static <T extends TType> TensorArrayGather<T>	TensorArrayGather.create(Scope scope, Operand<? extends TType> handle, Operand<TInt32> indices, Operand<TFloat32> flowIn, Class<T> dtype, TensorArrayGather.Options... options) Factory method to create a class wrapping a new TensorArrayGatherV3 operation.
static <T extends TType> TensorListGetItem<T>	TensorListGetItem.create(Scope scope, Operand<? extends TType> inputHandle, Operand<TInt32> index, Operand<TInt32> elementShape, Class<T> elementDtype) Factory method to create a class wrapping a new TensorListGetItem operation.
static <T extends TType> TensorListGather<T>	TensorListGather.create(Scope scope, Operand<? extends TType> inputHandle, Operand<TInt32> indices, Operand<TInt32> elementShape, Class<T> elementDtype) Factory method to create a class wrapping a new TensorListGather operation.
static <T extends TType> ZerosLike<T>	ZerosLike.create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new ZerosLike operation.
static <T extends TType> StopGradient<T>	StopGradient.create(Scope scope, Operand<T> input) Factory method to create a class wrapping a new StopGradient operation.
static <T extends TType> Snapshot<T>	Snapshot.create(Scope scope, Operand<T> input) Factory method to create a class wrapping a new Snapshot operation.
static <T extends TType> RefNextIteration<T>	RefNextIteration.create(Scope scope, Operand<T> data) Factory method to create a class wrapping a new RefNextIteration operation.
static <T extends TType> RefIdentity<T>	RefIdentity.create(Scope scope, Operand<T> input) Factory method to create a class wrapping a new RefIdentity operation.
static <T extends TType> RefExit<T>	RefExit.create(Scope scope, Operand<T> data) Factory method to create a class wrapping a new RefExit operation.
static <T extends TType> OnesLike<T>	OnesLike.create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new OnesLike operation.
static <T extends TType> NextIteration<T>	NextIteration.create(Scope scope, Operand<T> data) Factory method to create a class wrapping a new NextIteration operation.
static <T extends TType> Identity<T>	Identity.create(Scope scope, Operand<T> input) Factory method to create a class wrapping a new Identity operation.
static <T extends TType> GuaranteeConst<T>	GuaranteeConst.create(Scope scope, Operand<T> input) Factory method to create a class wrapping a new GuaranteeConst operation.
static <T extends TType> Exit<T>	Exit.create(Scope scope, Operand<T> data) Factory method to create a class wrapping a new Exit operation.
static <T extends TType> DeepCopy<T>	DeepCopy.create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new DeepCopy operation.
static <T extends TType> Copy<T>	Copy.create(Scope scope, Operand<T> input, Copy.Options... options) Factory method to create a class wrapping a new Copy operation.
static <T extends TType> CopyHost<T>	CopyHost.create(Scope scope, Operand<T> input, CopyHost.Options... options) Factory method to create a class wrapping a new CopyHost operation.
static <T extends TType> Unstack<T>	Unstack.create(Scope scope, Operand<T> value, Long num, Unstack.Options... options) Factory method to create a class wrapping a new Unpack operation.
static <T extends TType> UniqueWithCounts<T,TInt32>	UniqueWithCounts.create(Scope scope, Operand<T> x, Operand<? extends TNumber> axis) Factory method to create a class wrapping a new UniqueWithCountsV2 operation, with the default output types.
static <T extends TType> Unique<T,TInt32>	Unique.create(Scope scope, Operand<T> x, Operand<? extends TNumber> axis) Factory method to create a class wrapping a new UniqueV2 operation, with the default output types.
static <T extends TType> Tile<T>	Tile.create(Scope scope, Operand<T> input, Operand<? extends TNumber> multiples) Factory method to create a class wrapping a new Tile operation.
static <T extends TType> Reverse<T>	Reverse.create(Scope scope, Operand<T> tensor, Operand<? extends TNumber> axis) Factory method to create a class wrapping a new ReverseV2 operation.
static <T extends TType> Reshape<T>	Reshape.create(Scope scope, Operand<T> tensor, Operand<? extends TNumber> shape) Factory method to create a class wrapping a new Reshape operation.
static <T extends TType> GatherNd<T>	GatherNd.create(Scope scope, Operand<T> params, Operand<? extends TNumber> indices) Factory method to create a class wrapping a new GatherNd operation.
static <T extends TType> ExpandDims<T>	ExpandDims.create(Scope scope, Operand<T> input, Operand<? extends TNumber> axis) Factory method to create a class wrapping a new ExpandDims operation.
static <T extends TType> BroadcastTo<T>	BroadcastTo.create(Scope scope, Operand<T> input, Operand<? extends TNumber> shape) Factory method to create a class wrapping a new BroadcastTo operation.
static <T extends TType,V extends TNumber> UniqueWithCounts<T,V>	UniqueWithCounts.create(Scope scope, Operand<T> x, Operand<? extends TNumber> axis, Class<V> outIdx) Factory method to create a class wrapping a new UniqueWithCountsV2 operation.
static <T extends TType,V extends TNumber> Unique<T,V>	Unique.create(Scope scope, Operand<T> x, Operand<? extends TNumber> axis, Class<V> outIdx) Factory method to create a class wrapping a new UniqueV2 operation.
static <T extends TType> BatchToSpace<T>	BatchToSpace.create(Scope scope, Operand<T> input, Operand<? extends TNumber> crops, Long blockSize) Factory method to create a class wrapping a new BatchToSpace operation.
static <T extends TType> ReverseSequence<T>	ReverseSequence.create(Scope scope, Operand<T> input, Operand<? extends TNumber> seqLengths, Long seqDim, ReverseSequence.Options... options) Factory method to create a class wrapping a new ReverseSequence operation.
static <T extends TType> SpaceToBatchNd<T>	SpaceToBatchNd.create(Scope scope, Operand<T> input, Operand<? extends TNumber> blockShape, Operand<? extends TNumber> paddings) Factory method to create a class wrapping a new SpaceToBatchND operation.
static <T extends TType> Roll<T>	Roll.create(Scope scope, Operand<T> input, Operand<? extends TNumber> shift, Operand<? extends TNumber> axis) Factory method to create a class wrapping a new Roll operation.
static <T extends TType> BatchToSpaceNd<T>	BatchToSpaceNd.create(Scope scope, Operand<T> input, Operand<? extends TNumber> blockShape, Operand<? extends TNumber> crops) Factory method to create a class wrapping a new BatchToSpaceND operation.
static <T extends TType> Gather<T>	Gather.create(Scope scope, Operand<T> params, Operand<? extends TNumber> indices, Operand<? extends TNumber> axis, Gather.Options... options) Factory method to create a class wrapping a new GatherV2 operation.
static <T extends TType> TensorScatterNdUpdate<T>	TensorScatterNdUpdate.create(Scope scope, Operand<T> tensor, Operand<? extends TNumber> indices, Operand<T> updates) Factory method to create a class wrapping a new TensorScatterUpdate operation.
static <T extends TType> TensorScatterNdSub<T>	TensorScatterNdSub.create(Scope scope, Operand<T> tensor, Operand<? extends TNumber> indices, Operand<T> updates) Factory method to create a class wrapping a new TensorScatterSub operation.
static <T extends TType> TensorScatterNdMin<T>	TensorScatterNdMin.create(Scope scope, Operand<T> tensor, Operand<? extends TNumber> indices, Operand<T> updates) Factory method to create a class wrapping a new TensorScatterMin operation.
static <T extends TType> TensorScatterNdMax<T>	TensorScatterNdMax.create(Scope scope, Operand<T> tensor, Operand<? extends TNumber> indices, Operand<T> updates) Factory method to create a class wrapping a new TensorScatterMax operation.
static <T extends TType> TensorScatterNdAdd<T>	TensorScatterNdAdd.create(Scope scope, Operand<T> tensor, Operand<? extends TNumber> indices, Operand<T> updates) Factory method to create a class wrapping a new TensorScatterAdd operation.
static <T extends TType> ScatterNdNonAliasingAdd<T>	ScatterNdNonAliasingAdd.create(Scope scope, Operand<T> input, Operand<? extends TNumber> indices, Operand<T> updates) Factory method to create a class wrapping a new ScatterNdNonAliasingAdd operation.
static <T extends TType> Pad<T>	Pad.create(Scope scope, Operand<T> input, Operand<? extends TNumber> paddings, Operand<T> constantValues) Factory method to create a class wrapping a new PadV2 operation.
static <T extends TType> ScatterAdd<T>	ScatterAdd.create(Scope scope, Operand<T> ref, Operand<? extends TNumber> indices, Operand<T> updates, ScatterAdd.Options... options) Factory method to create a class wrapping a new ScatterAdd operation.
static <T extends TType> ScatterDiv<T>	ScatterDiv.create(Scope scope, Operand<T> ref, Operand<? extends TNumber> indices, Operand<T> updates, ScatterDiv.Options... options) Factory method to create a class wrapping a new ScatterDiv operation.
static <T extends TType> ScatterMul<T>	ScatterMul.create(Scope scope, Operand<T> ref, Operand<? extends TNumber> indices, Operand<T> updates, ScatterMul.Options... options) Factory method to create a class wrapping a new ScatterMul operation.
static <T extends TType> ScatterNdAdd<T>	ScatterNdAdd.create(Scope scope, Operand<T> ref, Operand<? extends TNumber> indices, Operand<T> updates, ScatterNdAdd.Options... options) Factory method to create a class wrapping a new ScatterNdAdd operation.
static <T extends TType> ScatterNdMax<T>	ScatterNdMax.create(Scope scope, Operand<T> ref, Operand<? extends TNumber> indices, Operand<T> updates, ScatterNdMax.Options... options) Factory method to create a class wrapping a new ScatterNdMax operation.
static <T extends TType> ScatterNdMin<T>	ScatterNdMin.create(Scope scope, Operand<T> ref, Operand<? extends TNumber> indices, Operand<T> updates, ScatterNdMin.Options... options) Factory method to create a class wrapping a new ScatterNdMin operation.
static <T extends TType> ScatterNdSub<T>	ScatterNdSub.create(Scope scope, Operand<T> ref, Operand<? extends TNumber> indices, Operand<T> updates, ScatterNdSub.Options... options) Factory method to create a class wrapping a new ScatterNdSub operation.
static <T extends TType> ScatterNdUpdate<T>	ScatterNdUpdate.create(Scope scope, Operand<T> ref, Operand<? extends TNumber> indices, Operand<T> updates, ScatterNdUpdate.Options... options) Factory method to create a class wrapping a new ScatterNdUpdate operation.
static <T extends TType> ScatterSub<T>	ScatterSub.create(Scope scope, Operand<T> ref, Operand<? extends TNumber> indices, Operand<T> updates, ScatterSub.Options... options) Factory method to create a class wrapping a new ScatterSub operation.
static <T extends TType> ScatterUpdate<T>	ScatterUpdate.create(Scope scope, Operand<T> ref, Operand<? extends TNumber> indices, Operand<T> updates, ScatterUpdate.Options... options) Factory method to create a class wrapping a new ScatterUpdate operation.
static <T extends TType> QuantizedReshape<T>	QuantizedReshape.create(Scope scope, Operand<T> tensor, Operand<? extends TNumber> shape, Operand<TFloat32> inputMin, Operand<TFloat32> inputMax) Factory method to create a class wrapping a new QuantizedReshape operation.
static <T extends TType> SplitV<T>	SplitV.create(Scope scope, Operand<T> value, Operand<? extends TNumber> sizeSplits, Operand<TInt32> axis, Long numSplit) Factory method to create a class wrapping a new SplitV operation.
static <T extends TType> Prod<T>	Prod.create(Scope scope, Operand<T> input, Operand<? extends TNumber> axis, Prod.Options... options) Factory method to create a class wrapping a new Prod operation.
static <T extends TType> ReduceProd<T>	ReduceProd.create(Scope scope, Operand<T> input, Operand<? extends TNumber> axis, ReduceProd.Options... options) Factory method to create a class wrapping a new Prod operation.
static <T extends TType> ReduceSum<T>	ReduceSum.create(Scope scope, Operand<T> input, Operand<? extends TNumber> axis, ReduceSum.Options... options) Factory method to create a class wrapping a new Sum operation.
static <T extends TType> MirrorPadGrad<T>	MirrorPadGrad.create(Scope scope, Operand<T> input, Operand<? extends TNumber> paddings, String mode) Factory method to create a class wrapping a new MirrorPadGrad operation.
static <T extends TType> MirrorPad<T>	MirrorPad.create(Scope scope, Operand<T> input, Operand<? extends TNumber> paddings, String mode) Factory method to create a class wrapping a new MirrorPad operation.
static <T extends TType> Sum<T>	Sum.create(Scope scope, Operand<T> input, Operand<? extends TNumber> axis, Sum.Options... options) Factory method to create a class wrapping a new Sum operation.
static <T extends TType> UpperBound<TInt32>	UpperBound.create(Scope scope, Operand<T> sortedInputs, Operand<T> values) Factory method to create a class wrapping a new UpperBound operation, with the default output types.
static <T extends TType> SetDiff1d<T,TInt32>	SetDiff1d.create(Scope scope, Operand<T> x, Operand<T> y) Factory method to create a class wrapping a new ListDiff operation, with the default output types.
static <T extends TType> LowerBound<TInt32>	LowerBound.create(Scope scope, Operand<T> sortedInputs, Operand<T> values) Factory method to create a class wrapping a new LowerBound operation, with the default output types.
static <T extends TType> Assign<T>	Assign.create(Scope scope, Operand<T> ref, Operand<T> value, Assign.Options... options) Factory method to create a class wrapping a new Assign operation.
static <T extends TType> AssignAdd<T>	AssignAdd.create(Scope scope, Operand<T> ref, Operand<T> value, AssignAdd.Options... options) Factory method to create a class wrapping a new AssignAdd operation.
static <T extends TType> AssignSub<T>	AssignSub.create(Scope scope, Operand<T> ref, Operand<T> value, AssignSub.Options... options) Factory method to create a class wrapping a new AssignSub operation.
static <T extends TType,U extends TNumber> SetDiff1d<T,U>	SetDiff1d.create(Scope scope, Operand<T> x, Operand<T> y, Class<U> outIdx) Factory method to create a class wrapping a new ListDiff operation.
static <U extends TNumber,T extends TType> UpperBound<U>	UpperBound.create(Scope scope, Operand<T> sortedInputs, Operand<T> values, Class<U> outType) Factory method to create a class wrapping a new UpperBound operation.
static <U extends TNumber,T extends TType> LowerBound<U>	LowerBound.create(Scope scope, Operand<T> sortedInputs, Operand<T> values, Class<U> outType) Factory method to create a class wrapping a new LowerBound operation.
static <T extends TType,U extends TType> MutableDenseHashTable	MutableDenseHashTable.create(Scope scope, Operand<T> emptyKey, Operand<T> deletedKey, Class<U> valueDtype, MutableDenseHashTable.Options... options) Factory method to create a class wrapping a new MutableDenseHashTableV2 operation.
static <T extends TType,U extends TType> MutableDenseHashTable	MutableDenseHashTable.create(Scope scope, Operand<T> emptyKey, Operand<T> deletedKey, Class<U> valueDtype, MutableDenseHashTable.Options... options) Factory method to create a class wrapping a new MutableDenseHashTableV2 operation.
static <T extends TType> ClipByValue<T>	ClipByValue.create(Scope scope, Operand<T> t, Operand<T> clipValueMin, Operand<T> clipValueMax) Factory method to create a class wrapping a new ClipByValue operation.
static <U extends TType,T extends TNumber> StridedSliceGrad<U>	StridedSliceGrad.create(Scope scope, Operand<T> shape, Operand<T> begin, Operand<T> end, Operand<T> strides, Operand<U> dy, StridedSliceGrad.Options... options) Factory method to create a class wrapping a new StridedSliceGrad operation.
static <T extends TType> SwitchCond<T>	SwitchCond.create(Scope scope, Operand<T> data, Operand<TBool> pred) Factory method to create a class wrapping a new Switch operation.
static <T extends TType> RefSwitch<T>	RefSwitch.create(Scope scope, Operand<T> data, Operand<TBool> pred) Factory method to create a class wrapping a new RefSwitch operation.
static <T extends TType> Operand<T>	BooleanMask.create(Scope scope, Operand<T> tensor, Operand<TBool> mask, BooleanMask.Options... options) Apply boolean mask to tensor.
static <T extends TType> Operand<T>	BooleanMaskUpdate.create(Scope scope, Operand<T> tensor, Operand<TBool> mask, Operand<T> updates, BooleanMaskUpdate.Options... options) Updates a tensor at the masked values, and returns the updated tensor.
static <T extends TType> DynamicPartition<T>	DynamicPartition.create(Scope scope, Operand<T> data, Operand<TInt32> partitions, Long numPartitions) Factory method to create a class wrapping a new DynamicPartition operation.
static <T extends TType> InplaceUpdate<T>	InplaceUpdate.create(Scope scope, Operand<T> x, Operand<TInt32> i, Operand<T> v) Factory method to create a class wrapping a new InplaceUpdate operation.
static <T extends TType> InplaceSub<T>	InplaceSub.create(Scope scope, Operand<T> x, Operand<TInt32> i, Operand<T> v) Factory method to create a class wrapping a new InplaceSub operation.
static <T extends TType> InplaceAdd<T>	InplaceAdd.create(Scope scope, Operand<T> x, Operand<TInt32> i, Operand<T> v) Factory method to create a class wrapping a new InplaceAdd operation.
static <T extends TType> UnbatchGrad<T>	UnbatchGrad.create(Scope scope, Operand<T> originalInput, Operand<TInt64> batchIndex, Operand<T> grad, Operand<TInt64> id, UnbatchGrad.Options... options) Factory method to create a class wrapping a new UnbatchGrad operation.
static <T extends TType> Unbatch<T>	Unbatch.create(Scope scope, Operand<T> batchedTensor, Operand<TInt64> batchIndex, Operand<TInt64> id, Long timeoutMicros, Unbatch.Options... options) Factory method to create a class wrapping a new Unbatch operation.
static <U extends TType,T extends TNumber> ScatterNd<U>	ScatterNd.create(Scope scope, Operand<T> indices, Operand<U> updates, Operand<T> shape) Factory method to create a class wrapping a new ScatterNd operation.
static <T extends TType,U extends TNumber> Slice<T>	Slice.create(Scope scope, Operand<T> input, Operand<U> begin, Operand<U> sizeOutput) Factory method to create a class wrapping a new Slice operation.
static <T extends TType,U extends TNumber> StridedSliceAssign<T>	StridedSliceAssign.create(Scope scope, Operand<T> ref, Operand<U> begin, Operand<U> end, Operand<U> strides, Operand<T> value, StridedSliceAssign.Options... options) Factory method to create a class wrapping a new StridedSliceAssign operation.
static <T extends TType,U extends TNumber> TensorStridedSliceUpdate<T>	TensorStridedSliceUpdate.create(Scope scope, Operand<T> input, Operand<U> begin, Operand<U> end, Operand<U> strides, Operand<T> value, TensorStridedSliceUpdate.Options... options) Factory method to create a class wrapping a new TensorStridedSliceUpdate operation.
static <T extends TType,U extends TNumber> StridedSlice<T>	StridedSlice.create(Scope scope, Operand<T> input, Operand<U> begin, Operand<U> end, Operand<U> strides, StridedSlice.Options... options) Factory method to create a class wrapping a new StridedSlice operation.
static <T extends TType> PlaceholderWithDefault<T>	PlaceholderWithDefault.create(Scope scope, Operand<T> input, org.tensorflow.ndarray.Shape shape) Factory method to create a class wrapping a new PlaceholderWithDefault operation.
static <T extends TType> EnsureShape<T>	EnsureShape.create(Scope scope, Operand<T> input, org.tensorflow.ndarray.Shape shape) Factory method to create a class wrapping a new EnsureShape operation.
static <T extends TType> Squeeze<T>	Squeeze.create(Scope scope, Operand<T> input, Squeeze.Options... options) Factory method to create a class wrapping a new Squeeze operation.
static <T extends TType> DestroyTemporaryVariable<T>	DestroyTemporaryVariable.create(Scope scope, Operand<T> ref, String varName) Factory method to create a class wrapping a new DestroyTemporaryVariable operation.
static <T extends TType> Enter<T>	Enter.create(Scope scope, Operand<T> data, String frameName, Enter.Options... options) Factory method to create a class wrapping a new Enter operation.
static <T extends TType> RefEnter<T>	RefEnter.create(Scope scope, Operand<T> data, String frameName, RefEnter.Options... options) Factory method to create a class wrapping a new RefEnter operation.
static <T extends TType> Select<T>	Select.create(Scope scope, Operand<TBool> condition, Operand<T> t, Operand<T> e) Factory method to create a class wrapping a new SelectV2 operation.
static <T extends TType> Empty<T>	Empty.create(Scope scope, Operand<TInt32> shape, Class<T> dtype, Empty.Options... options) Factory method to create a class wrapping a new Empty operation.
static <T extends TType> TensorArray	TensorArray.create(Scope scope, Operand<TInt32> sizeOutput, Class<T> dtype, TensorArray.Options... options) Factory method to create a class wrapping a new TensorArrayV3 operation.
static <T extends TType> RefSelect<T>	RefSelect.create(Scope scope, Operand<TInt32> index, Iterable<Operand<T>> inputs) Factory method to create a class wrapping a new RefSelect operation.
static <T extends TType> Split<T>	Split.create(Scope scope, Operand<TInt32> axis, Operand<T> value, Long numSplit) Factory method to create a class wrapping a new Split operation.
static <T extends TType> EditDistance	EditDistance.create(Scope scope, Operand<TInt64> hypothesisIndices, Operand<T> hypothesisValues, Operand<TInt64> hypothesisShape, Operand<TInt64> truthIndices, Operand<T> truthValues, Operand<TInt64> truthShape, EditDistance.Options... options) Factory method to create a class wrapping a new EditDistance operation.
static <T extends TType> GetSessionTensor<T>	GetSessionTensor.create(Scope scope, Operand<TString> handle, Class<T> dtype) Factory method to create a class wrapping a new GetSessionTensor operation.
static <T extends TType> TensorArrayPack<T>	TensorArrayPack.create(Scope scope, Operand<TString> handle, Operand<TFloat32> flowIn, Class<T> dtype, TensorArrayPack.Options... options) Factory method to create a class wrapping a new TensorArrayPack operation.
static <T extends TType> TemporaryVariable<T>	TemporaryVariable.create(Scope scope, org.tensorflow.ndarray.Shape shape, Class<T> dtype, TemporaryVariable.Options... options) Factory method to create a class wrapping a new TemporaryVariable operation.
static <T extends TType> Variable<T>	Variable.create(Scope scope, org.tensorflow.ndarray.Shape shape, Class<T> dtype, Variable.Options... options) Factory method to create a class wrapping a new VariableV2 operation.
static <T extends TType> Constant<T>	Constant.create(Scope scope, T tensor) Create a constant by making an immutable copy of tensor.
static <T extends TType> Variable<T>	Helpers.createVariableWithInit(Scope scope, Operand<T> init, Variable.Options... options) Factory method to create a new Variable with its initializer.
<T extends TType> Output<T>	Gradients.dy(int index) Returns a symbolic handle to one of the gradient operation output
static <T extends TType> Operand<T>	Shapes.flatten(Scope scope, Operand<T> operand) Flatten the operand to 1 dimension.
static <T extends TType,U extends TNumber> Operand<T>	Shapes.flatten(Scope scope, Operand<T> operand, Class<U> type) Flatten the operand to 1 dimension
static <T extends TType> Operand<T>	Shapes.reduceDims(Scope scope, Operand<T> operand, Operand<TInt32> axis) Reshapes the operand by reducing the shape to the specified axis.
static <T extends TType,U extends TNumber> Operand<T>	Shapes.reduceDims(Scope scope, Operand<T> operand, Operand<U> axis, Class<U> type) Reshapes the operand by reducing the shape to the specified axis.
static <T extends TType> Operand<TInt32>	Shapes.size(Scope scope, Operand<T> input, Operand<TInt32> dim) Get the size of the specified dimension for the shape of the tensor.
static <T extends TType,U extends TNumber> Operand<U>	Shapes.size(Scope scope, Operand<T> input, Operand<U> dim, Class<U> type) Get the size of the specified dimension for the shape of the tensor.
static <T extends TType> StridedSlice<T>	StridedSliceHelper.stridedSlice(Scope scope, Operand<T> input, org.tensorflow.ndarray.index.Index... indices) Return a strided slice from `input`.
static <T extends TType> StridedSliceAssign<T>	StridedSliceHelper.stridedSliceAssign(Scope scope, Operand<T> ref, Operand<T> value, org.tensorflow.ndarray.index.Index... indices) Assign `value` to the sliced l-value reference of `ref`.
static <T extends TType> Constant<T>	Constant.tensorOf(Scope scope, Class<T> type, org.tensorflow.ndarray.Shape shape, org.tensorflow.ndarray.buffer.ByteDataBuffer data) Create a constant with data from the given buffer.

Methods in org.tensorflow.op.core that return types with arguments of type TType

Modifier and Type	Method and Description
Output<TType>	VarHandleOp.asOutput()
Output<TType>	TensorMapInsert.asOutput()
Output<TType>	TensorMapErase.asOutput()
Output<TType>	TensorListSplit.asOutput()
Output<TType>	TensorListSetItem.asOutput()
Output<TType>	TensorListScatterIntoExistingList.asOutput()
Output<TType>	TensorListScatter.asOutput()
Output<TType>	TensorListResize.asOutput()
Output<TType>	TensorListReserve.asOutput()
Output<TType>	TensorListPushBackBatch.asOutput()
Output<TType>	TensorListPushBack.asOutput()
Output<TType>	TensorListFromTensor.asOutput()
Output<TType>	TensorListConcatLists.asOutput()
Output<TType>	MutexLock.asOutput()
Output<TType>	Mutex.asOutput()
Output<TType>	MutableHashTableOfTensors.asOutput()
Output<TType>	MutableHashTable.asOutput()
Output<TType>	MutableDenseHashTable.asOutput()
Output<TType>	HashTable.asOutput()
Output<TType>	GetSessionHandle.asOutput()
Output<TType>	EmptyTensorMap.asOutput()
Output<TType>	EmptyTensorList.asOutput()
Output<TType>	DummyMemoryCache.asOutput()
Output<TType>	CompositeTensorVariantFromComponents.asOutput()
Output<TType>	AnonymousHashTable.asOutput()
Output<? extends TType>	CompositeTensorVariantFromComponents.encoded() Gets encoded.
Output<? extends TType>	TensorArrayGradWithShape.gradHandle() Gets gradHandle.
Output<? extends TType>	TensorArrayGrad.gradHandle() Gets gradHandle.
Output<? extends TType>	TensorListReserve.handle() Gets handle.
Output<? extends TType>	TensorArray.handle() Gets handle.
Output<? extends TType>	GetSessionHandle.handle() Gets handle.
Output<? extends TType>	EmptyTensorMap.handle() Gets handle.
Output<? extends TType>	EmptyTensorList.handle() Gets handle.
Output<? extends TType>	DummyMemoryCache.handle() Gets handle.
Iterator<Operand<TType>>	While.iterator()
Iterator<Operand<TType>>	Unstage.iterator()
Iterator<Operand<TType>>	StatelessWhile.iterator()
Iterator<Operand<TType>>	StatelessPartitionedCall.iterator()
Iterator<Operand<TType>>	StatelessIf.iterator()
Iterator<Operand<TType>>	StatelessCase.iterator()
Iterator<Operand<TType>>	StatefulWhile.iterator()
Iterator<Operand<TType>>	StatefulPartitionedCall.iterator()
Iterator<Operand<TType>>	StatefulIf.iterator()
Iterator<Operand<TType>>	StatefulCase.iterator()
Iterator<Operand<TType>>	StagePeek.iterator()
Iterator<Operand<TType>>	RemoteCall.iterator()
Iterator<Operand<TType>>	PartitionedCall.iterator()
Iterator<Operand<TType>>	OrderedMapUnstage.iterator()
Iterator<Operand<TType>>	OrderedMapPeek.iterator()
Iterator<Operand<TType>>	MlirPassthroughOp.iterator()
Iterator<Operand<TType>>	MapUnstage.iterator()
Iterator<Operand<TType>>	MapPeek.iterator()
Iterator<Operand<TType>>	MapDefun.iterator()
Iterator<Operand<TType>>	If.iterator()
Iterator<Operand<TType>>	IdentityN.iterator()
Iterator<Operand<TType>>	GetElementAtIndex.iterator()
Iterator<Operand<TType>>	For.iterator()
Iterator<Operand<TType>>	CompositeTensorVariantToComponents.iterator()
Iterator<Operand<TType>>	Case.iterator()
Iterator<Operand<TType>>	BatchFunction.iterator()
Output<? extends TType>	MutexLock.mutexLock() Gets mutexLock.
Output<? extends TType>	TensorListConcatLists.output() Gets output.
Output<? extends TType>	TensorMapInsert.outputHandle() Gets outputHandle.
Output<? extends TType>	TensorMapErase.outputHandle() Gets outputHandle.
Output<? extends TType>	TensorListSplit.outputHandle() Gets outputHandle.
Output<? extends TType>	TensorListSetItem.outputHandle() Gets outputHandle.
Output<? extends TType>	TensorListScatterIntoExistingList.outputHandle() Gets outputHandle.
Output<? extends TType>	TensorListScatter.outputHandle() Gets outputHandle.
Output<? extends TType>	TensorListResize.outputHandle() Gets outputHandle.
Output<? extends TType>	TensorListPushBack.outputHandle() Gets outputHandle.
Output<? extends TType>	TensorListPopBack.outputHandle() Gets outputHandle.
Output<? extends TType>	TensorListFromTensor.outputHandle() Gets outputHandle.
Output<? extends TType>	TensorListPushBackBatch.outputHandles() Gets outputHandles.
Output<? extends TType>	VarHandleOp.resource() Gets resource.
Output<? extends TType>	Mutex.resource() Gets resource.
Output<? extends TType>	MutableHashTableOfTensors.tableHandle() Gets tableHandle.
Output<? extends TType>	MutableHashTable.tableHandle() Gets tableHandle.
Output<? extends TType>	MutableDenseHashTable.tableHandle() Gets tableHandle.
Output<? extends TType>	HashTable.tableHandle() Gets tableHandle.
Output<? extends TType>	AnonymousHashTable.tableHandle() Gets tableHandle.

Method parameters in org.tensorflow.op.core with type arguments of type TType

Modifier and Type	Method and Description
static BatchFunction	BatchFunction.create(Scope scope, Iterable<Operand<?>> inTensors, Iterable<Operand<?>> capturedTensors, ConcreteFunction f, Long numBatchThreads, Long maxBatchSize, Long batchTimeoutMicros, List<Class<? extends TType>> Tout, BatchFunction.Options... options) Factory method to create a class wrapping a new BatchFunction operation.
static MapDefun	MapDefun.create(Scope scope, Iterable<Operand<?>> arguments, Iterable<Operand<?>> capturedInputs, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ConcreteFunction f, MapDefun.Options... options) Factory method to create a class wrapping a new MapDefun operation.
static StatelessPartitionedCall	StatelessPartitionedCall.create(Scope scope, Iterable<Operand<?>> args, List<Class<? extends TType>> Tout, ConcreteFunction f, PartitionedCall.Options... options) Factory method to create a class wrapping a new PartitionedCall operation.
static StatefulPartitionedCall	StatefulPartitionedCall.create(Scope scope, Iterable<Operand<?>> args, List<Class<? extends TType>> Tout, ConcreteFunction f, PartitionedCall.Options... options) Factory method to create a class wrapping a new StatefulPartitionedCall operation.
static PartitionedCall	PartitionedCall.create(Scope scope, Iterable<Operand<?>> args, List<Class<? extends TType>> Tout, ConcreteFunction f, PartitionedCall.Options... options) Factory method to create a class wrapping a new StatefulPartitionedCall operation.
static MlirPassthroughOp	MlirPassthroughOp.create(Scope scope, Iterable<Operand<?>> inputs, String mlirModule, List<Class<? extends TType>> Toutputs) Factory method to create a class wrapping a new MlirPassthroughOp operation.
static ShapeN<TInt32>	ShapeN.create(Scope scope, Iterable<Operand<? extends TType>> input) Factory method to create a class wrapping a new ShapeN operation, with the default output types.
static <U extends TNumber> ShapeN<U>	ShapeN.create(Scope scope, Iterable<Operand<? extends TType>> input, Class<U> outType) Factory method to create a class wrapping a new ShapeN operation.
static Barrier	Barrier.create(Scope scope, List<Class<? extends TType>> componentTypes, Barrier.Options... options) Factory method to create a class wrapping a new Barrier operation.
static MapClear	MapClear.create(Scope scope, List<Class<? extends TType>> dtypes, MapClear.Options... options) Factory method to create a class wrapping a new MapClear operation.
static MapIncompleteSize	MapIncompleteSize.create(Scope scope, List<Class<? extends TType>> dtypes, MapIncompleteSize.Options... options) Factory method to create a class wrapping a new MapIncompleteSize operation.
static MapSize	MapSize.create(Scope scope, List<Class<? extends TType>> dtypes, MapSize.Options... options) Factory method to create a class wrapping a new MapSize operation.
static OrderedMapClear	OrderedMapClear.create(Scope scope, List<Class<? extends TType>> dtypes, OrderedMapClear.Options... options) Factory method to create a class wrapping a new OrderedMapClear operation.
static OrderedMapIncompleteSize	OrderedMapIncompleteSize.create(Scope scope, List<Class<? extends TType>> dtypes, OrderedMapIncompleteSize.Options... options) Factory method to create a class wrapping a new OrderedMapIncompleteSize operation.
static OrderedMapSize	OrderedMapSize.create(Scope scope, List<Class<? extends TType>> dtypes, OrderedMapSize.Options... options) Factory method to create a class wrapping a new OrderedMapSize operation.
static StageClear	StageClear.create(Scope scope, List<Class<? extends TType>> dtypes, StageClear.Options... options) Factory method to create a class wrapping a new StageClear operation.
static StageSize	StageSize.create(Scope scope, List<Class<? extends TType>> dtypes, StageSize.Options... options) Factory method to create a class wrapping a new StageSize operation.
static Unstage	Unstage.create(Scope scope, List<Class<? extends TType>> dtypes, Unstage.Options... options) Factory method to create a class wrapping a new Unstage operation.
static Where	Where.create(Scope scope, Operand<? extends TType> condition) Factory method to create a class wrapping a new Where operation.
static VariableShape<TInt32>	VariableShape.create(Scope scope, Operand<? extends TType> input) Factory method to create a class wrapping a new VariableShape operation, with the default output types.
static VarIsInitializedOp	VarIsInitializedOp.create(Scope scope, Operand<? extends TType> resource) Factory method to create a class wrapping a new VarIsInitializedOp operation.
static TensorMapSize	TensorMapSize.create(Scope scope, Operand<? extends TType> inputHandle) Factory method to create a class wrapping a new TensorMapSize operation.
static TensorListLength	TensorListLength.create(Scope scope, Operand<? extends TType> inputHandle) Factory method to create a class wrapping a new TensorListLength operation.
static TensorArrayClose	TensorArrayClose.create(Scope scope, Operand<? extends TType> handle) Factory method to create a class wrapping a new TensorArrayCloseV3 operation.
static Size<TInt32>	Size.create(Scope scope, Operand<? extends TType> input) Factory method to create a class wrapping a new Size operation, with the default output types.
static Shape<TInt32>	Shape.create(Scope scope, Operand<? extends TType> input) Factory method to create a class wrapping a new Shape operation, with the default output types.
static Rank	Rank.create(Scope scope, Operand<? extends TType> input) Factory method to create a class wrapping a new Rank operation.
static MutexLock	MutexLock.create(Scope scope, Operand<? extends TType> mutex) Factory method to create a class wrapping a new MutexLock operation.
static LookupTableSize	LookupTableSize.create(Scope scope, Operand<? extends TType> tableHandle) Factory method to create a class wrapping a new LookupTableSizeV2 operation.
static IsVariableInitialized	IsVariableInitialized.create(Scope scope, Operand<? extends TType> ref) Factory method to create a class wrapping a new IsVariableInitialized operation.
static GetSessionHandle	GetSessionHandle.create(Scope scope, Operand<? extends TType> value) Factory method to create a class wrapping a new GetSessionHandleV2 operation.
static GetOptions	GetOptions.create(Scope scope, Operand<? extends TType> inputDataset) Factory method to create a class wrapping a new GetOptions operation.
static ConsumeMutexLock	ConsumeMutexLock.create(Scope scope, Operand<? extends TType> mutexLock) Factory method to create a class wrapping a new ConsumeMutexLock operation.
static <T extends TNumber> VariableShape<T>	VariableShape.create(Scope scope, Operand<? extends TType> input, Class<T> outType) Factory method to create a class wrapping a new VariableShape operation.
static <T extends TNumber> TensorListElementShape<T>	TensorListElementShape.create(Scope scope, Operand<? extends TType> inputHandle, Class<T> shapeType) Factory method to create a class wrapping a new TensorListElementShape operation.
static <T extends TType> TensorMapStackKeys<T>	TensorMapStackKeys.create(Scope scope, Operand<? extends TType> inputHandle, Class<T> keyDtype) Factory method to create a class wrapping a new TensorMapStackKeys operation.
static <T extends TType> ReadVariableOp<T>	ReadVariableOp.create(Scope scope, Operand<? extends TType> resource, Class<T> dtype) Factory method to create a class wrapping a new ReadVariableOp operation.
static <T extends TType,U extends TType> LookupTableExport<T,U>	LookupTableExport.create(Scope scope, Operand<? extends TType> tableHandle, Class<T> Tkeys, Class<U> Tvalues) Factory method to create a class wrapping a new LookupTableExportV2 operation.
static <U extends TNumber> Size<U>	Size.create(Scope scope, Operand<? extends TType> input, Class<U> outType) Factory method to create a class wrapping a new Size operation.
static <U extends TNumber> Shape<U>	Shape.create(Scope scope, Operand<? extends TType> input, Class<U> outType) Factory method to create a class wrapping a new Shape operation.
static <U extends TType> Bitcast<U>	Bitcast.create(Scope scope, Operand<? extends TType> input, Class<U> type) Factory method to create a class wrapping a new Bitcast operation.
static DestroyResourceOp	DestroyResourceOp.create(Scope scope, Operand<? extends TType> resource, DestroyResourceOp.Options... options) Factory method to create a class wrapping a new DestroyResourceOp operation.
static StatelessIf	StatelessIf.create(Scope scope, Operand<? extends TType> cond, Iterable<Operand<?>> input, List<Class<? extends TType>> Tout, ConcreteFunction thenBranch, ConcreteFunction elseBranch, If.Options... options) Factory method to create a class wrapping a new StatelessIf operation.
static StatelessIf	StatelessIf.create(Scope scope, Operand<? extends TType> cond, Iterable<Operand<?>> input, List<Class<? extends TType>> Tout, ConcreteFunction thenBranch, ConcreteFunction elseBranch, If.Options... options) Factory method to create a class wrapping a new StatelessIf operation.
static StatefulIf	StatefulIf.create(Scope scope, Operand<? extends TType> cond, Iterable<Operand<?>> input, List<Class<? extends TType>> Tout, ConcreteFunction thenBranch, ConcreteFunction elseBranch, If.Options... options) Factory method to create a class wrapping a new If operation.
static StatefulIf	StatefulIf.create(Scope scope, Operand<? extends TType> cond, Iterable<Operand<?>> input, List<Class<? extends TType>> Tout, ConcreteFunction thenBranch, ConcreteFunction elseBranch, If.Options... options) Factory method to create a class wrapping a new If operation.
static If	If.create(Scope scope, Operand<? extends TType> cond, Iterable<Operand<?>> input, List<Class<? extends TType>> Tout, ConcreteFunction thenBranch, ConcreteFunction elseBranch, If.Options... options) Factory method to create a class wrapping a new If operation.
static If	If.create(Scope scope, Operand<? extends TType> cond, Iterable<Operand<?>> input, List<Class<? extends TType>> Tout, ConcreteFunction thenBranch, ConcreteFunction elseBranch, If.Options... options) Factory method to create a class wrapping a new If operation.
static <T extends TNumber> ResourceCountUpTo<T>	ResourceCountUpTo.create(Scope scope, Operand<? extends TType> resource, Long limit, Class<T> T) Factory method to create a class wrapping a new ResourceCountUpTo operation.
static TensorListFromTensor	TensorListFromTensor.create(Scope scope, Operand<? extends TType> tensor, Operand<? extends TNumber> elementShape) Factory method to create a class wrapping a new TensorListFromTensor operation.
static <U extends TType> ResourceGatherNd<U>	ResourceGatherNd.create(Scope scope, Operand<? extends TType> resource, Operand<? extends TNumber> indices, Class<U> dtype) Factory method to create a class wrapping a new ResourceGatherNd operation.
static <U extends TType> ResourceGather<U>	ResourceGather.create(Scope scope, Operand<? extends TType> resource, Operand<? extends TNumber> indices, Class<U> dtype, ResourceGather.Options... options) Factory method to create a class wrapping a new ResourceGather operation.
static ResourceScatterUpdate	ResourceScatterUpdate.create(Scope scope, Operand<? extends TType> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates) Factory method to create a class wrapping a new ResourceScatterUpdate operation.
static ResourceScatterUpdate	ResourceScatterUpdate.create(Scope scope, Operand<? extends TType> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates) Factory method to create a class wrapping a new ResourceScatterUpdate operation.
static ResourceScatterSub	ResourceScatterSub.create(Scope scope, Operand<? extends TType> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates) Factory method to create a class wrapping a new ResourceScatterSub operation.
static ResourceScatterSub	ResourceScatterSub.create(Scope scope, Operand<? extends TType> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates) Factory method to create a class wrapping a new ResourceScatterSub operation.
static ResourceScatterMul	ResourceScatterMul.create(Scope scope, Operand<? extends TType> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates) Factory method to create a class wrapping a new ResourceScatterMul operation.
static ResourceScatterMul	ResourceScatterMul.create(Scope scope, Operand<? extends TType> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates) Factory method to create a class wrapping a new ResourceScatterMul operation.
static ResourceScatterMin	ResourceScatterMin.create(Scope scope, Operand<? extends TType> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates) Factory method to create a class wrapping a new ResourceScatterMin operation.
static ResourceScatterMin	ResourceScatterMin.create(Scope scope, Operand<? extends TType> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates) Factory method to create a class wrapping a new ResourceScatterMin operation.
static ResourceScatterMax	ResourceScatterMax.create(Scope scope, Operand<? extends TType> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates) Factory method to create a class wrapping a new ResourceScatterMax operation.
static ResourceScatterMax	ResourceScatterMax.create(Scope scope, Operand<? extends TType> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates) Factory method to create a class wrapping a new ResourceScatterMax operation.
static ResourceScatterDiv	ResourceScatterDiv.create(Scope scope, Operand<? extends TType> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates) Factory method to create a class wrapping a new ResourceScatterDiv operation.
static ResourceScatterDiv	ResourceScatterDiv.create(Scope scope, Operand<? extends TType> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates) Factory method to create a class wrapping a new ResourceScatterDiv operation.
static ResourceScatterAdd	ResourceScatterAdd.create(Scope scope, Operand<? extends TType> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates) Factory method to create a class wrapping a new ResourceScatterAdd operation.
static ResourceScatterAdd	ResourceScatterAdd.create(Scope scope, Operand<? extends TType> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates) Factory method to create a class wrapping a new ResourceScatterAdd operation.
static ResourceScatterNdAdd	ResourceScatterNdAdd.create(Scope scope, Operand<? extends TType> ref, Operand<? extends TNumber> indices, Operand<? extends TType> updates, ResourceScatterNdAdd.Options... options) Factory method to create a class wrapping a new ResourceScatterNdAdd operation.
static ResourceScatterNdAdd	ResourceScatterNdAdd.create(Scope scope, Operand<? extends TType> ref, Operand<? extends TNumber> indices, Operand<? extends TType> updates, ResourceScatterNdAdd.Options... options) Factory method to create a class wrapping a new ResourceScatterNdAdd operation.
static ResourceScatterNdMax	ResourceScatterNdMax.create(Scope scope, Operand<? extends TType> ref, Operand<? extends TNumber> indices, Operand<? extends TType> updates, ResourceScatterNdMax.Options... options) Factory method to create a class wrapping a new ResourceScatterNdMax operation.
static ResourceScatterNdMax	ResourceScatterNdMax.create(Scope scope, Operand<? extends TType> ref, Operand<? extends TNumber> indices, Operand<? extends TType> updates, ResourceScatterNdMax.Options... options) Factory method to create a class wrapping a new ResourceScatterNdMax operation.
static ResourceScatterNdMin	ResourceScatterNdMin.create(Scope scope, Operand<? extends TType> ref, Operand<? extends TNumber> indices, Operand<? extends TType> updates, ResourceScatterNdMin.Options... options) Factory method to create a class wrapping a new ResourceScatterNdMin operation.
static ResourceScatterNdMin	ResourceScatterNdMin.create(Scope scope, Operand<? extends TType> ref, Operand<? extends TNumber> indices, Operand<? extends TType> updates, ResourceScatterNdMin.Options... options) Factory method to create a class wrapping a new ResourceScatterNdMin operation.
static ResourceScatterNdSub	ResourceScatterNdSub.create(Scope scope, Operand<? extends TType> ref, Operand<? extends TNumber> indices, Operand<? extends TType> updates, ResourceScatterNdSub.Options... options) Factory method to create a class wrapping a new ResourceScatterNdSub operation.
static ResourceScatterNdSub	ResourceScatterNdSub.create(Scope scope, Operand<? extends TType> ref, Operand<? extends TNumber> indices, Operand<? extends TType> updates, ResourceScatterNdSub.Options... options) Factory method to create a class wrapping a new ResourceScatterNdSub operation.
static ResourceScatterNdUpdate	ResourceScatterNdUpdate.create(Scope scope, Operand<? extends TType> ref, Operand<? extends TNumber> indices, Operand<? extends TType> updates, ResourceScatterNdUpdate.Options... options) Factory method to create a class wrapping a new ResourceScatterNdUpdate operation.
static ResourceScatterNdUpdate	ResourceScatterNdUpdate.create(Scope scope, Operand<? extends TType> ref, Operand<? extends TNumber> indices, Operand<? extends TType> updates, ResourceScatterNdUpdate.Options... options) Factory method to create a class wrapping a new ResourceScatterNdUpdate operation.
static TensorListSplit	TensorListSplit.create(Scope scope, Operand<? extends TType> tensor, Operand<? extends TNumber> elementShape, Operand<TInt64> lengths) Factory method to create a class wrapping a new TensorListSplit operation.
static <U extends TType> TensorListConcat<U>	TensorListConcat.create(Scope scope, Operand<? extends TType> inputHandle, Operand<? extends TNumber> elementShape, Operand<TInt64> leadingDims, Class<U> elementDtype) Factory method to create a class wrapping a new TensorListConcatV2 operation.
static TensorMapHasKey	TensorMapHasKey.create(Scope scope, Operand<? extends TType> inputHandle, Operand<? extends TType> key) Factory method to create a class wrapping a new TensorMapHasKey operation.
static TensorMapHasKey	TensorMapHasKey.create(Scope scope, Operand<? extends TType> inputHandle, Operand<? extends TType> key) Factory method to create a class wrapping a new TensorMapHasKey operation.
static TensorListPushBackBatch	TensorListPushBackBatch.create(Scope scope, Operand<? extends TType> inputHandles, Operand<? extends TType> tensor) Factory method to create a class wrapping a new TensorListPushBackBatch operation.
static TensorListPushBackBatch	TensorListPushBackBatch.create(Scope scope, Operand<? extends TType> inputHandles, Operand<? extends TType> tensor) Factory method to create a class wrapping a new TensorListPushBackBatch operation.
static TensorListPushBack	TensorListPushBack.create(Scope scope, Operand<? extends TType> inputHandle, Operand<? extends TType> tensor) Factory method to create a class wrapping a new TensorListPushBack operation.
static TensorListPushBack	TensorListPushBack.create(Scope scope, Operand<? extends TType> inputHandle, Operand<? extends TType> tensor) Factory method to create a class wrapping a new TensorListPushBack operation.
static LookupTableRemove	LookupTableRemove.create(Scope scope, Operand<? extends TType> tableHandle, Operand<? extends TType> keys) Factory method to create a class wrapping a new LookupTableRemoveV2 operation.
static LookupTableRemove	LookupTableRemove.create(Scope scope, Operand<? extends TType> tableHandle, Operand<? extends TType> keys) Factory method to create a class wrapping a new LookupTableRemoveV2 operation.
static AssignVariableOp	AssignVariableOp.create(Scope scope, Operand<? extends TType> resource, Operand<? extends TType> value) Factory method to create a class wrapping a new AssignVariableOp operation.
static AssignVariableOp	AssignVariableOp.create(Scope scope, Operand<? extends TType> resource, Operand<? extends TType> value) Factory method to create a class wrapping a new AssignVariableOp operation.
static AssignSubVariableOp	AssignSubVariableOp.create(Scope scope, Operand<? extends TType> resource, Operand<? extends TType> value) Factory method to create a class wrapping a new AssignSubVariableOp operation.
static AssignSubVariableOp	AssignSubVariableOp.create(Scope scope, Operand<? extends TType> resource, Operand<? extends TType> value) Factory method to create a class wrapping a new AssignSubVariableOp operation.
static AssignAddVariableOp	AssignAddVariableOp.create(Scope scope, Operand<? extends TType> resource, Operand<? extends TType> value) Factory method to create a class wrapping a new AssignAddVariableOp operation.
static AssignAddVariableOp	AssignAddVariableOp.create(Scope scope, Operand<? extends TType> resource, Operand<? extends TType> value) Factory method to create a class wrapping a new AssignAddVariableOp operation.
static <T extends TType> TensorListConcatLists	TensorListConcatLists.create(Scope scope, Operand<? extends TType> inputA, Operand<? extends TType> inputB, Class<T> elementDtype) Factory method to create a class wrapping a new TensorListConcatLists operation.
static <T extends TType> TensorListConcatLists	TensorListConcatLists.create(Scope scope, Operand<? extends TType> inputA, Operand<? extends TType> inputB, Class<T> elementDtype) Factory method to create a class wrapping a new TensorListConcatLists operation.
static <U extends TType> TensorMapLookup<U>	TensorMapLookup.create(Scope scope, Operand<? extends TType> inputHandle, Operand<? extends TType> key, Class<U> valueDtype) Factory method to create a class wrapping a new TensorMapLookup operation.
static <U extends TType> TensorMapLookup<U>	TensorMapLookup.create(Scope scope, Operand<? extends TType> inputHandle, Operand<? extends TType> key, Class<U> valueDtype) Factory method to create a class wrapping a new TensorMapLookup operation.
static <U extends TType> TensorMapErase	TensorMapErase.create(Scope scope, Operand<? extends TType> inputHandle, Operand<? extends TType> key, Class<U> valueDtype) Factory method to create a class wrapping a new TensorMapErase operation.
static <U extends TType> TensorMapErase	TensorMapErase.create(Scope scope, Operand<? extends TType> inputHandle, Operand<? extends TType> key, Class<U> valueDtype) Factory method to create a class wrapping a new TensorMapErase operation.
static TensorMapInsert	TensorMapInsert.create(Scope scope, Operand<? extends TType> inputHandle, Operand<? extends TType> key, Operand<? extends TType> value) Factory method to create a class wrapping a new TensorMapInsert operation.
static TensorMapInsert	TensorMapInsert.create(Scope scope, Operand<? extends TType> inputHandle, Operand<? extends TType> key, Operand<? extends TType> value) Factory method to create a class wrapping a new TensorMapInsert operation.
static TensorMapInsert	TensorMapInsert.create(Scope scope, Operand<? extends TType> inputHandle, Operand<? extends TType> key, Operand<? extends TType> value) Factory method to create a class wrapping a new TensorMapInsert operation.
static LookupTableInsert	LookupTableInsert.create(Scope scope, Operand<? extends TType> tableHandle, Operand<? extends TType> keys, Operand<? extends TType> values) Factory method to create a class wrapping a new LookupTableInsertV2 operation.
static LookupTableInsert	LookupTableInsert.create(Scope scope, Operand<? extends TType> tableHandle, Operand<? extends TType> keys, Operand<? extends TType> values) Factory method to create a class wrapping a new LookupTableInsertV2 operation.
static LookupTableInsert	LookupTableInsert.create(Scope scope, Operand<? extends TType> tableHandle, Operand<? extends TType> keys, Operand<? extends TType> values) Factory method to create a class wrapping a new LookupTableInsertV2 operation.
static LookupTableImport	LookupTableImport.create(Scope scope, Operand<? extends TType> tableHandle, Operand<? extends TType> keys, Operand<? extends TType> values) Factory method to create a class wrapping a new LookupTableImportV2 operation.
static LookupTableImport	LookupTableImport.create(Scope scope, Operand<? extends TType> tableHandle, Operand<? extends TType> keys, Operand<? extends TType> values) Factory method to create a class wrapping a new LookupTableImportV2 operation.
static LookupTableImport	LookupTableImport.create(Scope scope, Operand<? extends TType> tableHandle, Operand<? extends TType> keys, Operand<? extends TType> values) Factory method to create a class wrapping a new LookupTableImportV2 operation.
static InitializeTable	InitializeTable.create(Scope scope, Operand<? extends TType> tableHandle, Operand<? extends TType> keys, Operand<? extends TType> values) Factory method to create a class wrapping a new InitializeTableV2 operation.
static InitializeTable	InitializeTable.create(Scope scope, Operand<? extends TType> tableHandle, Operand<? extends TType> keys, Operand<? extends TType> values) Factory method to create a class wrapping a new InitializeTableV2 operation.
static InitializeTable	InitializeTable.create(Scope scope, Operand<? extends TType> tableHandle, Operand<? extends TType> keys, Operand<? extends TType> values) Factory method to create a class wrapping a new InitializeTableV2 operation.
static TensorListScatterIntoExistingList	TensorListScatterIntoExistingList.create(Scope scope, Operand<? extends TType> inputHandle, Operand<? extends TType> tensor, Operand<TInt32> indices) Factory method to create a class wrapping a new TensorListScatterIntoExistingList operation.
static TensorListScatterIntoExistingList	TensorListScatterIntoExistingList.create(Scope scope, Operand<? extends TType> inputHandle, Operand<? extends TType> tensor, Operand<TInt32> indices) Factory method to create a class wrapping a new TensorListScatterIntoExistingList operation.
static TensorArraySplit	TensorArraySplit.create(Scope scope, Operand<? extends TType> handle, Operand<? extends TType> value, Operand<TInt64> lengths, Operand<TFloat32> flowIn) Factory method to create a class wrapping a new TensorArraySplitV3 operation.
static TensorArraySplit	TensorArraySplit.create(Scope scope, Operand<? extends TType> handle, Operand<? extends TType> value, Operand<TInt64> lengths, Operand<TFloat32> flowIn) Factory method to create a class wrapping a new TensorArraySplitV3 operation.
static <U extends TType> LookupTableFind<U>	LookupTableFind.create(Scope scope, Operand<? extends TType> tableHandle, Operand<? extends TType> keys, Operand<U> defaultValue) Factory method to create a class wrapping a new LookupTableFindV2 operation.
static <U extends TType> LookupTableFind<U>	LookupTableFind.create(Scope scope, Operand<? extends TType> tableHandle, Operand<? extends TType> keys, Operand<U> defaultValue) Factory method to create a class wrapping a new LookupTableFindV2 operation.
static <T extends TNumber> ResourceStridedSliceAssign	ResourceStridedSliceAssign.create(Scope scope, Operand<? extends TType> ref, Operand<T> begin, Operand<T> end, Operand<T> strides, Operand<? extends TType> value, ResourceStridedSliceAssign.Options... options) Factory method to create a class wrapping a new ResourceStridedSliceAssign operation.
static <T extends TNumber> ResourceStridedSliceAssign	ResourceStridedSliceAssign.create(Scope scope, Operand<? extends TType> ref, Operand<T> begin, Operand<T> end, Operand<T> strides, Operand<? extends TType> value, ResourceStridedSliceAssign.Options... options) Factory method to create a class wrapping a new ResourceStridedSliceAssign operation.
static TensorArraySize	TensorArraySize.create(Scope scope, Operand<? extends TType> handle, Operand<TFloat32> flowIn) Factory method to create a class wrapping a new TensorArraySizeV3 operation.
static <T extends TType> TensorArrayConcat<T>	TensorArrayConcat.create(Scope scope, Operand<? extends TType> handle, Operand<TFloat32> flowIn, Class<T> dtype, TensorArrayConcat.Options... options) Factory method to create a class wrapping a new TensorArrayConcatV3 operation.
static TensorArrayGradWithShape	TensorArrayGradWithShape.create(Scope scope, Operand<? extends TType> handle, Operand<TFloat32> flowIn, Operand<TInt32> shapeToPrepend, String source) Factory method to create a class wrapping a new TensorArrayGradWithShape operation.
static TensorArrayGrad	TensorArrayGrad.create(Scope scope, Operand<? extends TType> handle, Operand<TFloat32> flowIn, String source) Factory method to create a class wrapping a new TensorArrayGradV3 operation.
static TensorListResize	TensorListResize.create(Scope scope, Operand<? extends TType> inputHandle, Operand<TInt32> sizeOutput) Factory method to create a class wrapping a new TensorListResize operation.
static <T extends TType> TensorListPopBack<T>	TensorListPopBack.create(Scope scope, Operand<? extends TType> inputHandle, Operand<TInt32> elementShape, Class<T> elementDtype) Factory method to create a class wrapping a new TensorListPopBack operation.
static <T extends TType> TensorListStack<T>	TensorListStack.create(Scope scope, Operand<? extends TType> inputHandle, Operand<TInt32> elementShape, Class<T> elementDtype, TensorListStack.Options... options) Factory method to create a class wrapping a new TensorListStack operation.
static TensorListScatter	TensorListScatter.create(Scope scope, Operand<? extends TType> tensor, Operand<TInt32> indices, Operand<? extends TNumber> elementShape, Operand<TInt32> numElements) Factory method to create a class wrapping a new TensorListScatterV2 operation.
static TensorListSetItem	TensorListSetItem.create(Scope scope, Operand<? extends TType> inputHandle, Operand<TInt32> index, Operand<? extends TType> item) Factory method to create a class wrapping a new TensorListSetItem operation.
static TensorListSetItem	TensorListSetItem.create(Scope scope, Operand<? extends TType> inputHandle, Operand<TInt32> index, Operand<? extends TType> item) Factory method to create a class wrapping a new TensorListSetItem operation.
static TensorArrayWrite	TensorArrayWrite.create(Scope scope, Operand<? extends TType> handle, Operand<TInt32> index, Operand<? extends TType> value, Operand<TFloat32> flowIn) Factory method to create a class wrapping a new TensorArrayWriteV3 operation.
static TensorArrayWrite	TensorArrayWrite.create(Scope scope, Operand<? extends TType> handle, Operand<TInt32> index, Operand<? extends TType> value, Operand<TFloat32> flowIn) Factory method to create a class wrapping a new TensorArrayWriteV3 operation.
static TensorArrayScatter	TensorArrayScatter.create(Scope scope, Operand<? extends TType> handle, Operand<TInt32> indices, Operand<? extends TType> value, Operand<TFloat32> flowIn) Factory method to create a class wrapping a new TensorArrayScatterV3 operation.
static TensorArrayScatter	TensorArrayScatter.create(Scope scope, Operand<? extends TType> handle, Operand<TInt32> indices, Operand<? extends TType> value, Operand<TFloat32> flowIn) Factory method to create a class wrapping a new TensorArrayScatterV3 operation.
static <T extends TType> TensorArrayRead<T>	TensorArrayRead.create(Scope scope, Operand<? extends TType> handle, Operand<TInt32> index, Operand<TFloat32> flowIn, Class<T> dtype) Factory method to create a class wrapping a new TensorArrayReadV3 operation.
static <T extends TType> TensorArrayGather<T>	TensorArrayGather.create(Scope scope, Operand<? extends TType> handle, Operand<TInt32> indices, Operand<TFloat32> flowIn, Class<T> dtype, TensorArrayGather.Options... options) Factory method to create a class wrapping a new TensorArrayGatherV3 operation.
static <T extends TType> TensorListGetItem<T>	TensorListGetItem.create(Scope scope, Operand<? extends TType> inputHandle, Operand<TInt32> index, Operand<TInt32> elementShape, Class<T> elementDtype) Factory method to create a class wrapping a new TensorListGetItem operation.
static <T extends TType> TensorListGather<T>	TensorListGather.create(Scope scope, Operand<? extends TType> inputHandle, Operand<TInt32> indices, Operand<TInt32> elementShape, Class<T> elementDtype) Factory method to create a class wrapping a new TensorListGather operation.
static GetElementAtIndex	GetElementAtIndex.create(Scope scope, Operand<? extends TType> dataset, Operand<TInt64> index, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new GetElementAtIndex operation.
static GetElementAtIndex	GetElementAtIndex.create(Scope scope, Operand<? extends TType> dataset, Operand<TInt64> index, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new GetElementAtIndex operation.
static Fingerprint	Fingerprint.create(Scope scope, Operand<? extends TType> data, Operand<TString> method) Factory method to create a class wrapping a new Fingerprint operation.
static InitializeTableFromTextFile	InitializeTableFromTextFile.create(Scope scope, Operand<? extends TType> tableHandle, Operand<TString> filename, Long keyIndex, Long valueIndex, InitializeTableFromTextFile.Options... options) Factory method to create a class wrapping a new InitializeTableFromTextFileV2 operation.
static CompositeTensorVariantToComponents	CompositeTensorVariantToComponents.create(Scope scope, Operand<? extends TType> encoded, String metadata, List<Class<? extends TType>> Tcomponents) Factory method to create a class wrapping a new CompositeTensorVariantToComponents operation.
static CompositeTensorVariantToComponents	CompositeTensorVariantToComponents.create(Scope scope, Operand<? extends TType> encoded, String metadata, List<Class<? extends TType>> Tcomponents) Factory method to create a class wrapping a new CompositeTensorVariantToComponents operation.
static Send	Send.create(Scope scope, Operand<? extends TType> tensor, String tensorName, String sendDevice, Long sendDeviceIncarnation, String recvDevice, Send.Options... options) Factory method to create a class wrapping a new Send operation.
static StatelessCase	StatelessCase.create(Scope scope, Operand<TInt32> branchIndex, Iterable<Operand<?>> input, List<Class<? extends TType>> Tout, List<ConcreteFunction> branches, Case.Options... options) Factory method to create a class wrapping a new StatelessCase operation.
static StatefulCase	StatefulCase.create(Scope scope, Operand<TInt32> branchIndex, Iterable<Operand<?>> input, List<Class<? extends TType>> Tout, List<ConcreteFunction> branches, Case.Options... options) Factory method to create a class wrapping a new Case operation.
static Case	Case.create(Scope scope, Operand<TInt32> branchIndex, Iterable<Operand<?>> input, List<Class<? extends TType>> Tout, List<ConcreteFunction> branches, Case.Options... options) Factory method to create a class wrapping a new Case operation.
static MapUnstageNoKey	MapUnstageNoKey.create(Scope scope, Operand<TInt32> indices, List<Class<? extends TType>> dtypes, MapUnstageNoKey.Options... options) Factory method to create a class wrapping a new MapUnstageNoKey operation.
static OrderedMapUnstageNoKey	OrderedMapUnstageNoKey.create(Scope scope, Operand<TInt32> indices, List<Class<? extends TType>> dtypes, OrderedMapUnstageNoKey.Options... options) Factory method to create a class wrapping a new OrderedMapUnstageNoKey operation.
static StagePeek	StagePeek.create(Scope scope, Operand<TInt32> index, List<Class<? extends TType>> dtypes, StagePeek.Options... options) Factory method to create a class wrapping a new StagePeek operation.
static SetSize	SetSize.create(Scope scope, Operand<TInt64> setIndices, Operand<? extends TType> setValues, Operand<TInt64> setShape, SetSize.Options... options) Factory method to create a class wrapping a new SetSize operation.
static MapStage	MapStage.create(Scope scope, Operand<TInt64> key, Operand<TInt32> indices, Iterable<Operand<?>> values, List<Class<? extends TType>> dtypes, MapStage.Options... options) Factory method to create a class wrapping a new MapStage operation.
static OrderedMapStage	OrderedMapStage.create(Scope scope, Operand<TInt64> key, Operand<TInt32> indices, Iterable<Operand<?>> values, List<Class<? extends TType>> dtypes, OrderedMapStage.Options... options) Factory method to create a class wrapping a new OrderedMapStage operation.
static MapPeek	MapPeek.create(Scope scope, Operand<TInt64> key, Operand<TInt32> indices, List<Class<? extends TType>> dtypes, MapPeek.Options... options) Factory method to create a class wrapping a new MapPeek operation.
static MapUnstage	MapUnstage.create(Scope scope, Operand<TInt64> key, Operand<TInt32> indices, List<Class<? extends TType>> dtypes, MapUnstage.Options... options) Factory method to create a class wrapping a new MapUnstage operation.
static OrderedMapPeek	OrderedMapPeek.create(Scope scope, Operand<TInt64> key, Operand<TInt32> indices, List<Class<? extends TType>> dtypes, OrderedMapPeek.Options... options) Factory method to create a class wrapping a new OrderedMapPeek operation.
static OrderedMapUnstage	OrderedMapUnstage.create(Scope scope, Operand<TInt64> key, Operand<TInt32> indices, List<Class<? extends TType>> dtypes, OrderedMapUnstage.Options... options) Factory method to create a class wrapping a new OrderedMapUnstage operation.
static RemoteCall	RemoteCall.create(Scope scope, Operand<TString> target, Iterable<Operand<?>> args, List<Class<? extends TType>> Tout, ConcreteFunction f) Factory method to create a class wrapping a new RemoteCall operation.
static TensorArrayUnpack	TensorArrayUnpack.create(Scope scope, Operand<TString> handle, Operand<? extends TType> value, Operand<TFloat32> flowIn) Factory method to create a class wrapping a new TensorArrayUnpack operation.
static BarrierTakeMany	BarrierTakeMany.create(Scope scope, Operand<TString> handle, Operand<TInt32> numElements, List<Class<? extends TType>> componentTypes, BarrierTakeMany.Options... options) Factory method to create a class wrapping a new BarrierTakeMany operation.
static BarrierInsertMany	BarrierInsertMany.create(Scope scope, Operand<TString> handle, Operand<TString> keys, Operand<? extends TType> values, Long componentIndex) Factory method to create a class wrapping a new BarrierInsertMany operation.
static DecodeProto	DecodeProto.create(Scope scope, Operand<TString> bytes, String messageType, List<String> fieldNames, List<Class<? extends TType>> outputTypes, DecodeProto.Options... options) Factory method to create a class wrapping a new DecodeProtoV2 operation.

Uses of TType in org.tensorflow.op.data

Fields in org.tensorflow.op.data with type parameters of type TType

Modifier and Type	Field and Description
Operand<? extends TType>	ConcatenateDataset.Inputs.anotherDataset The anotherDataset input
Operand<? extends TType>	CacheDataset.Inputs.cache The cache input
Operand<? extends TType>	UncompressElement.Inputs.compressed The compressed input
Iterable<Operand<? extends TType>>	DirectedInterleaveDataset.Inputs.dataInputDatasets N datasets with the same type that will be interleaved according to the values of selector_input_dataset.
Operand<? extends TType>	RegisterDataset.Inputs.dataset The dataset input
Operand<? extends TType>	MultiDeviceIteratorInit.Inputs.dataset Dataset to be iterated upon.
Operand<? extends TType>	MakeIterator.Inputs.dataset The dataset input
Operand<? extends TType>	InitializeTableFromDataset.Inputs.dataset The dataset input
Operand<? extends TType>	DatasetToSingleElement.Inputs.dataset A handle to a dataset that contains a single element.
Operand<? extends TType>	DeleteMultiDeviceIterator.Inputs.deleter A variant deleter.
Operand<? extends TType>	DeleteMemoryCache.Inputs.deleter The deleter input
Operand<? extends TType>	DeleteIterator.Inputs.deleter A variant deleter.
Operand<? extends TType>	DeleteMemoryCache.Inputs.handle The handle input
Operand<? extends TType>	DeleteIterator.Inputs.handle A handle to the iterator to delete.
Operand<? extends TType>	WindowDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	UniqueDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	UnbatchDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	ThreadPoolDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	TakeWhileDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	TakeDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	SnapshotDataset.Inputs.inputDataset A variant tensor representing the input dataset.
Operand<? extends TType>	SlidingWindowDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	SleepDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	SkipDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	ShuffleDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	ShuffleAndRepeatDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	ShardDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	SetStatsAggregatorDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	ScanDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	SaveDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	SamplingDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	RepeatDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	ReduceDataset.Inputs.inputDataset A variant tensor representing the input dataset.
Operand<? extends TType>	RebatchDatasetV2.Inputs.inputDataset A variant tensor representing the input dataset.
Operand<? extends TType>	PrivateThreadPoolDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	PrefetchDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	ParseExampleDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	ParallelMapDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	ParallelInterleaveDataset.Inputs.inputDataset Dataset that produces a stream of arguments for the function f.
Operand<? extends TType>	ParallelBatchDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	PaddedBatchDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	OptionsDataset.Inputs.inputDataset A variant tensor representing the input dataset.
Operand<? extends TType>	OptimizeDataset.Inputs.inputDataset A variant tensor representing the input dataset.
Operand<? extends TType>	NonSerializableDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	ModelDataset.Inputs.inputDataset A variant tensor representing the input dataset.
Operand<? extends TType>	MaxIntraOpParallelismDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	MapDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	MapAndBatchDataset.Inputs.inputDataset A variant tensor representing the input dataset.
Operand<? extends TType>	LegacyParallelInterleaveDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	LatencyStatsDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	InterleaveDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	IgnoreErrorsDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	GroupByWindowDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	GroupByReducerDataset.Inputs.inputDataset A variant tensor representing the input dataset.
Operand<? extends TType>	FlatMapDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	FinalizeDataset.Inputs.inputDataset A variant tensor representing the input dataset.
Operand<? extends TType>	FilterDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	FilterByLastComponentDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	DenseToSparseBatchDataset.Inputs.inputDataset A handle to an input dataset.
Operand<? extends TType>	DatasetToTfRecord.Inputs.inputDataset A variant tensor representing the dataset to write.
Operand<? extends TType>	DatasetToGraph.Inputs.inputDataset A variant tensor representing the dataset to return the graph representation for.
Operand<? extends TType>	DatasetCardinality.Inputs.inputDataset A variant tensor representing the dataset to return cardinality for.
Operand<? extends TType>	ConcatenateDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	ChooseFastestBranchDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	CacheDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	BytesProducedStatsDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	BatchDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	AutoShardDataset.Inputs.inputDataset A variant tensor representing the input dataset.
Operand<? extends TType>	AssertNextDataset.Inputs.inputDataset A variant tensor representing the input dataset.
Operand<? extends TType>	AssertCardinalityDataset.Inputs.inputDataset The inputDataset input
Iterable<Operand<? extends TType>>	ZipDataset.Inputs.inputDatasets List of N variant Tensors representing datasets to be zipped together.
Iterable<Operand<? extends TType>>	ChooseFastestDataset.Inputs.inputDatasets The inputDatasets input
Operand<? extends TType>	WrapDatasetVariant.Inputs.inputHandle The inputHandle input
Operand<? extends TType>	UnwrapDatasetVariant.Inputs.inputHandle The inputHandle input
Iterable<Operand<? extends TType>>	SnapshotNestedDatasetReader.Inputs.inputs The inputs input
Operand<? extends TType>	DataServiceDatasetV2.Inputs.iterationCounter The iterationCounter input
Operand<? extends TType>	MakeIterator.Inputs.iterator The iterator input
Operand<? extends TType>	IteratorGetNextSync.Inputs.iterator The iterator input
Operand<? extends TType>	IteratorGetNextAsOptional.Inputs.iterator The iterator input
Operand<? extends TType>	IteratorGetNext.Inputs.iterator The iterator input
Iterable<Operand<? extends TType>>	DeleteMultiDeviceIterator.Inputs.iterators A list of iterator handles (unused).
Operand<? extends TType>	MultiDeviceIteratorToStringHandle.Inputs.multiDeviceIterator A MultiDeviceIterator resource.
Operand<? extends TType>	MultiDeviceIteratorInit.Inputs.multiDeviceIterator A MultiDeviceIteratorResource.
Operand<? extends TType>	MultiDeviceIteratorGetNextFromShard.Inputs.multiDeviceIterator A MultiDeviceIterator resource.
Operand<? extends TType>	DeleteMultiDeviceIterator.Inputs.multiDeviceIterator A handle to the multi device iterator to delete.
Operand<? extends TType>	OptionalHasValue.Inputs.optional The optional input
Operand<? extends TType>	OptionalGetValue.Inputs.optional The optional input
Operand<? extends TType>	IteratorGetDevice.Inputs.resource The resource input
Operand<? extends TType>	SerializeIterator.Inputs.resourceHandle A handle to an iterator resource.
Operand<? extends TType>	IteratorToStringHandle.Inputs.resourceHandle A handle to an iterator resource.
Operand<? extends TType>	DeserializeIterator.Inputs.resourceHandle A handle to an iterator resource.
Operand<? extends TType>	ShuffleDataset.Inputs.seedGenerator The seedGenerator input
Operand<? extends TType>	ShuffleAndRepeatDataset.Inputs.seedGenerator The seedGenerator input
Operand<? extends TType>	DirectedInterleaveDataset.Inputs.selectorInputDataset A dataset of scalar DT_INT64 elements that determines which of the N data inputs should produce the next output element.
Operand<? extends TType>	DeserializeIterator.Inputs.serialized A variant tensor storing the state of the iterator contained in the resource.
Operand<? extends TType>	StatsAggregatorSetSummaryWriter.Inputs.statsAggregator The statsAggregator input
Operand<? extends TType>	SetStatsAggregatorDataset.Inputs.statsAggregator The statsAggregator input
Operand<? extends TType>	StatsAggregatorSetSummaryWriter.Inputs.summary The summary input
Operand<? extends TType>	InitializeTableFromDataset.Inputs.tableHandle The tableHandle input
Operand<? extends TType>	ThreadPoolDataset.Inputs.threadPool A resource produced by the ThreadPoolHandle op.
Operand<? extends TType>	SparseTensorSliceDataset.Inputs.values The values input

Methods in org.tensorflow.op.data that return types with arguments of type TType

Modifier and Type	Method and Description
Output<TType>	ZipDataset.asOutput()
Output<TType>	WrapDatasetVariant.asOutput()
Output<TType>	WindowOp.asOutput()
Output<TType>	WindowDataset.asOutput()
Output<TType>	UnwrapDatasetVariant.asOutput()
Output<TType>	UniqueDataset.asOutput()
Output<TType>	UnbatchDataset.asOutput()
Output<TType>	ThreadPoolHandle.asOutput()
Output<TType>	ThreadPoolDataset.asOutput()
Output<TType>	TfRecordDataset.asOutput()
Output<TType>	TextLineDataset.asOutput()
Output<TType>	TensorSliceDataset.asOutput()
Output<TType>	TensorDataset.asOutput()
Output<TType>	TakeWhileDataset.asOutput()
Output<TType>	TakeDataset.asOutput()
Output<TType>	StatsAggregatorHandle.asOutput()
Output<TType>	SqlDataset.asOutput()
Output<TType>	SparseTensorSliceDataset.asOutput()
Output<TType>	SnapshotNestedDatasetReader.asOutput()
Output<TType>	SnapshotDatasetReader.asOutput()
Output<TType>	SnapshotDataset.asOutput()
Output<TType>	SlidingWindowDataset.asOutput()
Output<TType>	SleepDataset.asOutput()
Output<TType>	SkipDataset.asOutput()
Output<TType>	ShuffleDataset.asOutput()
Output<TType>	ShuffleAndRepeatDataset.asOutput()
Output<TType>	ShardDataset.asOutput()
Output<TType>	SetStatsAggregatorDataset.asOutput()
Output<TType>	SerializeIterator.asOutput()
Output<TType>	ScanDataset.asOutput()
Output<TType>	SaveDataset.asOutput()
Output<TType>	SamplingDataset.asOutput()
Output<TType>	RepeatDataset.asOutput()
Output<TType>	RebatchDatasetV2.asOutput()
Output<TType>	RangeDataset.asOutput()
Output<TType>	RandomDataset.asOutput()
Output<TType>	PrivateThreadPoolDataset.asOutput()
Output<TType>	PrefetchDataset.asOutput()
Output<TType>	ParseExampleDataset.asOutput()
Output<TType>	ParallelMapDataset.asOutput()
Output<TType>	ParallelInterleaveDataset.asOutput()
Output<TType>	ParallelBatchDataset.asOutput()
Output<TType>	PaddedBatchDataset.asOutput()
Output<TType>	OptionsDataset.asOutput()
Output<TType>	OptionalNone.asOutput()
Output<TType>	OptionalFromValue.asOutput()
Output<TType>	OptimizeDataset.asOutput()
Output<TType>	OneShotIterator.asOutput()
Output<TType>	NonSerializableDataset.asOutput()
Output<TType>	MultiDeviceIteratorFromStringHandle.asOutput()
Output<TType>	MultiDeviceIterator.asOutput()
Output<TType>	ModelDataset.asOutput()
Output<TType>	MaxIntraOpParallelismDataset.asOutput()
Output<TType>	MatchingFilesDataset.asOutput()
Output<TType>	MapDataset.asOutput()
Output<TType>	MapAndBatchDataset.asOutput()
Output<TType>	LoadDataset.asOutput()
Output<TType>	LegacyParallelInterleaveDataset.asOutput()
Output<TType>	LatencyStatsDataset.asOutput()
Output<TType>	LMDBDataset.asOutput()
Output<TType>	IteratorGetNextAsOptional.asOutput()
Output<TType>	IteratorFromStringHandle.asOutput()
Output<TType>	Iterator.asOutput()
Output<TType>	InterleaveDataset.asOutput()
Output<TType>	IgnoreErrorsDataset.asOutput()
Output<TType>	GroupByWindowDataset.asOutput()
Output<TType>	GroupByReducerDataset.asOutput()
Output<TType>	GeneratorDataset.asOutput()
Output<TType>	FlatMapDataset.asOutput()
Output<TType>	FixedLengthRecordDataset.asOutput()
Output<TType>	FinalizeDataset.asOutput()
Output<TType>	FilterDataset.asOutput()
Output<TType>	FilterByLastComponentDataset.asOutput()
Output<TType>	DummyIterationCounter.asOutput()
Output<TType>	DirectedInterleaveDataset.asOutput()
Output<TType>	DenseToSparseBatchDataset.asOutput()
Output<TType>	DatasetFromGraph.asOutput()
Output<TType>	DataServiceDatasetV2.asOutput()
Output<TType>	ConcatenateDataset.asOutput()
Output<TType>	CompressElement.asOutput()
Output<TType>	ChooseFastestDataset.asOutput()
Output<TType>	ChooseFastestBranchDataset.asOutput()
Output<TType>	CacheDataset.asOutput()
Output<TType>	CSVDataset.asOutput()
Output<TType>	BytesProducedStatsDataset.asOutput()
Output<TType>	BatchDataset.asOutput()
Output<TType>	AutoShardDataset.asOutput()
Output<TType>	AssertNextDataset.asOutput()
Output<TType>	AssertCardinalityDataset.asOutput()
Output<? extends TType>	CompressElement.compressed() Gets compressed.
Output<? extends TType>	AnonymousMultiDeviceIterator.deleter() Gets deleter.
Output<? extends TType>	AnonymousMemoryCache.deleter() Gets deleter.
Output<? extends TType>	AnonymousIterator.deleter() Gets deleter.
Output<? extends TType>	ZipDataset.handle() Gets handle.
Output<? extends TType>	WindowOp.handle() Gets handle.
Output<? extends TType>	WindowDataset.handle() Gets handle.
Output<? extends TType>	UniqueDataset.handle() Gets handle.
Output<? extends TType>	UnbatchDataset.handle() Gets handle.
Output<? extends TType>	ThreadPoolHandle.handle() Gets handle.
Output<? extends TType>	ThreadPoolDataset.handle() Gets handle.
Output<? extends TType>	TfRecordDataset.handle() Gets handle.
Output<? extends TType>	TextLineDataset.handle() Gets handle.
Output<? extends TType>	TensorSliceDataset.handle() Gets handle.
Output<? extends TType>	TensorDataset.handle() Gets handle.
Output<? extends TType>	TakeWhileDataset.handle() Gets handle.
Output<? extends TType>	TakeDataset.handle() Gets handle.
Output<? extends TType>	StatsAggregatorHandle.handle() Gets handle.
Output<? extends TType>	SqlDataset.handle() Gets handle.
Output<? extends TType>	SparseTensorSliceDataset.handle() Gets handle.
Output<? extends TType>	SnapshotNestedDatasetReader.handle() Gets handle.
Output<? extends TType>	SnapshotDatasetReader.handle() Gets handle.
Output<? extends TType>	SnapshotDataset.handle() Gets handle.
Output<? extends TType>	SlidingWindowDataset.handle() Gets handle.
Output<? extends TType>	SleepDataset.handle() Gets handle.
Output<? extends TType>	SkipDataset.handle() Gets handle.
Output<? extends TType>	ShuffleDataset.handle() Gets handle.
Output<? extends TType>	ShuffleAndRepeatDataset.handle() Gets handle.
Output<? extends TType>	ShardDataset.handle() Gets handle.
Output<? extends TType>	SetStatsAggregatorDataset.handle() Gets handle.
Output<? extends TType>	ScanDataset.handle() Gets handle.
Output<? extends TType>	SaveDataset.handle() Gets handle.
Output<? extends TType>	SamplingDataset.handle() Gets handle.
Output<? extends TType>	RepeatDataset.handle() Gets handle.
Output<? extends TType>	RebatchDatasetV2.handle() Gets handle.
Output<? extends TType>	RangeDataset.handle() Gets handle.
Output<? extends TType>	RandomDataset.handle() Gets handle.
Output<? extends TType>	PrivateThreadPoolDataset.handle() Gets handle.
Output<? extends TType>	PrefetchDataset.handle() Gets handle.
Output<? extends TType>	ParseExampleDataset.handle() Gets handle.
Output<? extends TType>	ParallelMapDataset.handle() Gets handle.
Output<? extends TType>	ParallelInterleaveDataset.handle() Gets handle.
Output<? extends TType>	ParallelBatchDataset.handle() Gets handle.
Output<? extends TType>	PaddedBatchDataset.handle() Gets handle.
Output<? extends TType>	OptionsDataset.handle() Gets handle.
Output<? extends TType>	OptimizeDataset.handle() Gets handle.
Output<? extends TType>	OneShotIterator.handle() Gets handle.
Output<? extends TType>	NonSerializableDataset.handle() Gets handle.
Output<? extends TType>	MultiDeviceIterator.handle() Gets handle.
Output<? extends TType>	ModelDataset.handle() Gets handle.
Output<? extends TType>	MaxIntraOpParallelismDataset.handle() Gets handle.
Output<? extends TType>	MatchingFilesDataset.handle() Gets handle.
Output<? extends TType>	MapDataset.handle() Gets handle.
Output<? extends TType>	MapAndBatchDataset.handle() Gets handle.
Output<? extends TType>	LoadDataset.handle() Gets handle.
Output<? extends TType>	LegacyParallelInterleaveDataset.handle() Gets handle.
Output<? extends TType>	LatencyStatsDataset.handle() Gets handle.
Output<? extends TType>	LMDBDataset.handle() Gets handle.
Output<? extends TType>	Iterator.handle() Gets handle.
Output<? extends TType>	InterleaveDataset.handle() Gets handle.
Output<? extends TType>	IgnoreErrorsDataset.handle() Gets handle.
Output<? extends TType>	GroupByWindowDataset.handle() Gets handle.
Output<? extends TType>	GroupByReducerDataset.handle() Gets handle.
Output<? extends TType>	GeneratorDataset.handle() Gets handle.
Output<? extends TType>	FlatMapDataset.handle() Gets handle.
Output<? extends TType>	FixedLengthRecordDataset.handle() Gets handle.
Output<? extends TType>	FinalizeDataset.handle() Gets handle.
Output<? extends TType>	FilterDataset.handle() Gets handle.
Output<? extends TType>	DummyIterationCounter.handle() Gets handle.
Output<? extends TType>	DirectedInterleaveDataset.handle() Gets handle.
Output<? extends TType>	DenseToSparseBatchDataset.handle() Gets handle.
Output<? extends TType>	DatasetFromGraph.handle() Gets handle.
Output<? extends TType>	DataServiceDatasetV2.handle() Gets handle.
Output<? extends TType>	ConcatenateDataset.handle() Gets handle.
Output<? extends TType>	ChooseFastestDataset.handle() Gets handle.
Output<? extends TType>	ChooseFastestBranchDataset.handle() Gets handle.
Output<? extends TType>	CacheDataset.handle() Gets handle.
Output<? extends TType>	CSVDataset.handle() Gets handle.
Output<? extends TType>	BytesProducedStatsDataset.handle() Gets handle.
Output<? extends TType>	BatchDataset.handle() Gets handle.
Output<? extends TType>	AutoShardDataset.handle() Gets handle.
Output<? extends TType>	AssertNextDataset.handle() Gets handle.
Output<? extends TType>	AssertCardinalityDataset.handle() Gets handle.
Output<? extends TType>	AnonymousMultiDeviceIterator.handle() Gets handle.
Output<? extends TType>	AnonymousMemoryCache.handle() Gets handle.
Output<? extends TType>	AnonymousIterator.handle() Gets handle.
Iterator<Operand<TType>>	UncompressElement.iterator()
Iterator<Operand<TType>>	ReduceDataset.iterator()
Iterator<Operand<TType>>	OptionalGetValue.iterator()
Iterator<Operand<TType>>	MultiDeviceIteratorGetNextFromShard.iterator()
Iterator<Operand<TType>>	IteratorGetNextSync.iterator()
Iterator<Operand<TType>>	IteratorGetNext.iterator()
Iterator<Operand<TType>>	DatasetToSingleElement.iterator()
Output<? extends TType>	MultiDeviceIteratorFromStringHandle.multiDeviceIterator() Gets multiDeviceIterator.
Output<? extends TType>	OptionalNone.optional() Gets optional.
Output<? extends TType>	OptionalFromValue.optional() Gets optional.
Output<? extends TType>	IteratorGetNextAsOptional.optional() Gets optional.
Output<? extends TType>	FilterByLastComponentDataset.output() Gets output.
Output<? extends TType>	WrapDatasetVariant.outputHandle() Gets outputHandle.
Output<? extends TType>	UnwrapDatasetVariant.outputHandle() Gets outputHandle.
Output<? extends TType>	IteratorFromStringHandle.resourceHandle() Gets resourceHandle.
Output<? extends TType>	SerializeIterator.serialized() Gets serialized.

Method parameters in org.tensorflow.op.data with type arguments of type TType

Modifier and Type	Method and Description
static OneShotIterator	OneShotIterator.create(Scope scope, ConcreteFunction datasetFactory, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, OneShotIterator.Options... options) Factory method to create a class wrapping a new OneShotIterator operation.
static GeneratorDataset	GeneratorDataset.create(Scope scope, Iterable<Operand<?>> initFuncOtherArgs, Iterable<Operand<?>> nextFuncOtherArgs, Iterable<Operand<?>> finalizeFuncOtherArgs, ConcreteFunction initFunc, ConcreteFunction nextFunc, ConcreteFunction finalizeFunc, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, GeneratorDataset.Options... options) Factory method to create a class wrapping a new GeneratorDataset operation.
static WindowOp	WindowOp.create(Scope scope, Iterable<Operand<?>> inputs, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new WindowOp operation.
static SnapshotNestedDatasetReader	SnapshotNestedDatasetReader.create(Scope scope, Iterable<Operand<? extends TType>> inputs, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new SnapshotNestedDatasetReader operation.
static SnapshotNestedDatasetReader	SnapshotNestedDatasetReader.create(Scope scope, Iterable<Operand<? extends TType>> inputs, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new SnapshotNestedDatasetReader operation.
static ZipDataset	ZipDataset.create(Scope scope, Iterable<Operand<? extends TType>> inputDatasets, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ZipDataset.Options... options) Factory method to create a class wrapping a new ZipDataset operation.
static ZipDataset	ZipDataset.create(Scope scope, Iterable<Operand<? extends TType>> inputDatasets, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ZipDataset.Options... options) Factory method to create a class wrapping a new ZipDataset operation.
static ChooseFastestDataset	ChooseFastestDataset.create(Scope scope, Iterable<Operand<? extends TType>> inputDatasets, Long numExperiments, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ChooseFastestDataset operation.
static ChooseFastestDataset	ChooseFastestDataset.create(Scope scope, Iterable<Operand<? extends TType>> inputDatasets, Long numExperiments, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ChooseFastestDataset operation.
static AnonymousIterator	AnonymousIterator.create(Scope scope, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new AnonymousIteratorV2 operation.
static AnonymousMultiDeviceIterator	AnonymousMultiDeviceIterator.create(Scope scope, List<String> devices, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new AnonymousMultiDeviceIterator operation.
static MultiDeviceIterator	MultiDeviceIterator.create(Scope scope, List<String> devices, String sharedName, String container, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new MultiDeviceIterator operation.
static WrapDatasetVariant	WrapDatasetVariant.create(Scope scope, Operand<? extends TType> inputHandle) Factory method to create a class wrapping a new WrapDatasetVariant operation.
static UnwrapDatasetVariant	UnwrapDatasetVariant.create(Scope scope, Operand<? extends TType> inputHandle) Factory method to create a class wrapping a new UnwrapDatasetVariant operation.
static OptionalHasValue	OptionalHasValue.create(Scope scope, Operand<? extends TType> optional) Factory method to create a class wrapping a new OptionalHasValue operation.
static MultiDeviceIteratorToStringHandle	MultiDeviceIteratorToStringHandle.create(Scope scope, Operand<? extends TType> multiDeviceIterator) Factory method to create a class wrapping a new MultiDeviceIteratorToStringHandle operation.
static IteratorToStringHandle	IteratorToStringHandle.create(Scope scope, Operand<? extends TType> resourceHandle) Factory method to create a class wrapping a new IteratorToStringHandle operation.
static IteratorGetDevice	IteratorGetDevice.create(Scope scope, Operand<? extends TType> resource) Factory method to create a class wrapping a new IteratorGetDevice operation.
static DatasetCardinality	DatasetCardinality.create(Scope scope, Operand<? extends TType> inputDataset) Factory method to create a class wrapping a new DatasetCardinality operation.
static DatasetToGraph	DatasetToGraph.create(Scope scope, Operand<? extends TType> inputDataset, DatasetToGraph.Options... options) Factory method to create a class wrapping a new DatasetToGraphV2 operation.
static FilterDataset	FilterDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, ConcreteFunction predicate, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, FilterDataset.Options... options) Factory method to create a class wrapping a new FilterDataset operation.
static FilterDataset	FilterDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, ConcreteFunction predicate, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, FilterDataset.Options... options) Factory method to create a class wrapping a new FilterDataset operation.
static FlatMapDataset	FlatMapDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, FlatMapDataset.Options... options) Factory method to create a class wrapping a new FlatMapDataset operation.
static FlatMapDataset	FlatMapDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, FlatMapDataset.Options... options) Factory method to create a class wrapping a new FlatMapDataset operation.
static MapDataset	MapDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, MapDataset.Options... options) Factory method to create a class wrapping a new MapDataset operation.
static MapDataset	MapDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, MapDataset.Options... options) Factory method to create a class wrapping a new MapDataset operation.
static TakeWhileDataset	TakeWhileDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, ConcreteFunction predicate, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, TakeWhileDataset.Options... options) Factory method to create a class wrapping a new TakeWhileDataset operation.
static TakeWhileDataset	TakeWhileDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, ConcreteFunction predicate, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, TakeWhileDataset.Options... options) Factory method to create a class wrapping a new TakeWhileDataset operation.
static ReduceDataset	ReduceDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> initialState, Iterable<Operand<?>> otherArguments, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ReduceDataset.Options... options) Factory method to create a class wrapping a new ReduceDataset operation.
static ReduceDataset	ReduceDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> initialState, Iterable<Operand<?>> otherArguments, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ReduceDataset.Options... options) Factory method to create a class wrapping a new ReduceDataset operation.
static ScanDataset	ScanDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> initialState, Iterable<Operand<?>> otherArguments, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ScanDataset.Options... options) Factory method to create a class wrapping a new ScanDataset operation.
static ScanDataset	ScanDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> initialState, Iterable<Operand<?>> otherArguments, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ScanDataset.Options... options) Factory method to create a class wrapping a new ScanDataset operation.
static GroupByWindowDataset	GroupByWindowDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> keyFuncOtherArguments, Iterable<Operand<?>> reduceFuncOtherArguments, Iterable<Operand<?>> windowSizeFuncOtherArguments, ConcreteFunction keyFunc, ConcreteFunction reduceFunc, ConcreteFunction windowSizeFunc, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, GroupByWindowDataset.Options... options) Factory method to create a class wrapping a new GroupByWindowDataset operation.
static GroupByWindowDataset	GroupByWindowDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> keyFuncOtherArguments, Iterable<Operand<?>> reduceFuncOtherArguments, Iterable<Operand<?>> windowSizeFuncOtherArguments, ConcreteFunction keyFunc, ConcreteFunction reduceFunc, ConcreteFunction windowSizeFunc, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, GroupByWindowDataset.Options... options) Factory method to create a class wrapping a new GroupByWindowDataset operation.
static GroupByReducerDataset	GroupByReducerDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> keyFuncOtherArguments, Iterable<Operand<?>> initFuncOtherArguments, Iterable<Operand<?>> reduceFuncOtherArguments, Iterable<Operand<?>> finalizeFuncOtherArguments, ConcreteFunction keyFunc, ConcreteFunction initFunc, ConcreteFunction reduceFunc, ConcreteFunction finalizeFunc, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new GroupByReducerDataset operation.
static GroupByReducerDataset	GroupByReducerDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> keyFuncOtherArguments, Iterable<Operand<?>> initFuncOtherArguments, Iterable<Operand<?>> reduceFuncOtherArguments, Iterable<Operand<?>> finalizeFuncOtherArguments, ConcreteFunction keyFunc, ConcreteFunction initFunc, ConcreteFunction reduceFunc, ConcreteFunction finalizeFunc, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new GroupByReducerDataset operation.
static ParallelMapDataset	ParallelMapDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, Operand<TInt64> numParallelCalls, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ParallelMapDataset.Options... options) Factory method to create a class wrapping a new ParallelMapDatasetV2 operation.
static ParallelMapDataset	ParallelMapDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, Operand<TInt64> numParallelCalls, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ParallelMapDataset.Options... options) Factory method to create a class wrapping a new ParallelMapDatasetV2 operation.
static InterleaveDataset	InterleaveDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, Operand<TInt64> cycleLength, Operand<TInt64> blockLength, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, InterleaveDataset.Options... options) Factory method to create a class wrapping a new InterleaveDataset operation.
static InterleaveDataset	InterleaveDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, Operand<TInt64> cycleLength, Operand<TInt64> blockLength, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, InterleaveDataset.Options... options) Factory method to create a class wrapping a new InterleaveDataset operation.
static MapAndBatchDataset	MapAndBatchDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, Operand<TInt64> batchSize, Operand<TInt64> numParallelCalls, Operand<TBool> dropRemainder, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, MapAndBatchDataset.Options... options) Factory method to create a class wrapping a new MapAndBatchDataset operation.
static MapAndBatchDataset	MapAndBatchDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, Operand<TInt64> batchSize, Operand<TInt64> numParallelCalls, Operand<TBool> dropRemainder, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, MapAndBatchDataset.Options... options) Factory method to create a class wrapping a new MapAndBatchDataset operation.
static LegacyParallelInterleaveDataset	LegacyParallelInterleaveDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, Operand<TInt64> cycleLength, Operand<TInt64> blockLength, Operand<TInt64> bufferOutputElements, Operand<TInt64> prefetchInputElements, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, LegacyParallelInterleaveDataset.Options... options) Factory method to create a class wrapping a new LegacyParallelInterleaveDatasetV2 operation.
static LegacyParallelInterleaveDataset	LegacyParallelInterleaveDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, Operand<TInt64> cycleLength, Operand<TInt64> blockLength, Operand<TInt64> bufferOutputElements, Operand<TInt64> prefetchInputElements, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, LegacyParallelInterleaveDataset.Options... options) Factory method to create a class wrapping a new LegacyParallelInterleaveDatasetV2 operation.
static ParallelInterleaveDataset	ParallelInterleaveDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, Operand<TInt64> cycleLength, Operand<TInt64> blockLength, Operand<TInt64> bufferOutputElements, Operand<TInt64> prefetchInputElements, Operand<TInt64> numParallelCalls, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ParallelInterleaveDataset.Options... options) Factory method to create a class wrapping a new ParallelInterleaveDatasetV4 operation.
static ParallelInterleaveDataset	ParallelInterleaveDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, Operand<TInt64> cycleLength, Operand<TInt64> blockLength, Operand<TInt64> bufferOutputElements, Operand<TInt64> prefetchInputElements, Operand<TInt64> numParallelCalls, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ParallelInterleaveDataset.Options... options) Factory method to create a class wrapping a new ParallelInterleaveDatasetV4 operation.
static DirectedInterleaveDataset	DirectedInterleaveDataset.create(Scope scope, Operand<? extends TType> selectorInputDataset, Iterable<Operand<? extends TType>> dataInputDatasets, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, DirectedInterleaveDataset.Options... options) Factory method to create a class wrapping a new DirectedInterleaveDataset operation.
static DirectedInterleaveDataset	DirectedInterleaveDataset.create(Scope scope, Operand<? extends TType> selectorInputDataset, Iterable<Operand<? extends TType>> dataInputDatasets, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, DirectedInterleaveDataset.Options... options) Factory method to create a class wrapping a new DirectedInterleaveDataset operation.
static DirectedInterleaveDataset	DirectedInterleaveDataset.create(Scope scope, Operand<? extends TType> selectorInputDataset, Iterable<Operand<? extends TType>> dataInputDatasets, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, DirectedInterleaveDataset.Options... options) Factory method to create a class wrapping a new DirectedInterleaveDataset operation.
static DeleteMultiDeviceIterator	DeleteMultiDeviceIterator.create(Scope scope, Operand<? extends TType> multiDeviceIterator, Iterable<Operand<? extends TType>> iterators, Operand<? extends TType> deleter) Factory method to create a class wrapping a new DeleteMultiDeviceIterator operation.
static DeleteMultiDeviceIterator	DeleteMultiDeviceIterator.create(Scope scope, Operand<? extends TType> multiDeviceIterator, Iterable<Operand<? extends TType>> iterators, Operand<? extends TType> deleter) Factory method to create a class wrapping a new DeleteMultiDeviceIterator operation.
static DeleteMultiDeviceIterator	DeleteMultiDeviceIterator.create(Scope scope, Operand<? extends TType> multiDeviceIterator, Iterable<Operand<? extends TType>> iterators, Operand<? extends TType> deleter) Factory method to create a class wrapping a new DeleteMultiDeviceIterator operation.
static UncompressElement	UncompressElement.create(Scope scope, Operand<? extends TType> compressed, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new UncompressElement operation.
static UncompressElement	UncompressElement.create(Scope scope, Operand<? extends TType> compressed, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new UncompressElement operation.
static OptionalGetValue	OptionalGetValue.create(Scope scope, Operand<? extends TType> optional, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new OptionalGetValue operation.
static OptionalGetValue	OptionalGetValue.create(Scope scope, Operand<? extends TType> optional, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new OptionalGetValue operation.
static NonSerializableDataset	NonSerializableDataset.create(Scope scope, Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new NonSerializableDataset operation.
static NonSerializableDataset	NonSerializableDataset.create(Scope scope, Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new NonSerializableDataset operation.
static IteratorGetNextSync	IteratorGetNextSync.create(Scope scope, Operand<? extends TType> iterator, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new IteratorGetNextSync operation.
static IteratorGetNextSync	IteratorGetNextSync.create(Scope scope, Operand<? extends TType> iterator, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new IteratorGetNextSync operation.
static IteratorGetNextAsOptional	IteratorGetNextAsOptional.create(Scope scope, Operand<? extends TType> iterator, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new IteratorGetNextAsOptional operation.
static IteratorGetNextAsOptional	IteratorGetNextAsOptional.create(Scope scope, Operand<? extends TType> iterator, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new IteratorGetNextAsOptional operation.
static IteratorGetNext	IteratorGetNext.create(Scope scope, Operand<? extends TType> iterator, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new IteratorGetNext operation.
static IteratorGetNext	IteratorGetNext.create(Scope scope, Operand<? extends TType> iterator, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new IteratorGetNext operation.
static FilterByLastComponentDataset	FilterByLastComponentDataset.create(Scope scope, Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new FilterByLastComponentDataset operation.
static FilterByLastComponentDataset	FilterByLastComponentDataset.create(Scope scope, Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new FilterByLastComponentDataset operation.
static DatasetToSingleElement	DatasetToSingleElement.create(Scope scope, Operand<? extends TType> dataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, DatasetToSingleElement.Options... options) Factory method to create a class wrapping a new DatasetToSingleElement operation.
static DatasetToSingleElement	DatasetToSingleElement.create(Scope scope, Operand<? extends TType> dataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, DatasetToSingleElement.Options... options) Factory method to create a class wrapping a new DatasetToSingleElement operation.
static FinalizeDataset	FinalizeDataset.create(Scope scope, Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, FinalizeDataset.Options... options) Factory method to create a class wrapping a new FinalizeDataset operation.
static FinalizeDataset	FinalizeDataset.create(Scope scope, Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, FinalizeDataset.Options... options) Factory method to create a class wrapping a new FinalizeDataset operation.
static IgnoreErrorsDataset	IgnoreErrorsDataset.create(Scope scope, Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, IgnoreErrorsDataset.Options... options) Factory method to create a class wrapping a new IgnoreErrorsDataset operation.
static IgnoreErrorsDataset	IgnoreErrorsDataset.create(Scope scope, Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, IgnoreErrorsDataset.Options... options) Factory method to create a class wrapping a new IgnoreErrorsDataset operation.
static ModelDataset	ModelDataset.create(Scope scope, Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ModelDataset.Options... options) Factory method to create a class wrapping a new ModelDataset operation.
static ModelDataset	ModelDataset.create(Scope scope, Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ModelDataset.Options... options) Factory method to create a class wrapping a new ModelDataset operation.
static UnbatchDataset	UnbatchDataset.create(Scope scope, Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, UnbatchDataset.Options... options) Factory method to create a class wrapping a new UnbatchDataset operation.
static UnbatchDataset	UnbatchDataset.create(Scope scope, Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, UnbatchDataset.Options... options) Factory method to create a class wrapping a new UnbatchDataset operation.
static UniqueDataset	UniqueDataset.create(Scope scope, Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, UniqueDataset.Options... options) Factory method to create a class wrapping a new UniqueDataset operation.
static UniqueDataset	UniqueDataset.create(Scope scope, Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, UniqueDataset.Options... options) Factory method to create a class wrapping a new UniqueDataset operation.
static StatsAggregatorSetSummaryWriter	StatsAggregatorSetSummaryWriter.create(Scope scope, Operand<? extends TType> statsAggregator, Operand<? extends TType> summary) Factory method to create a class wrapping a new StatsAggregatorSetSummaryWriter operation.
static StatsAggregatorSetSummaryWriter	StatsAggregatorSetSummaryWriter.create(Scope scope, Operand<? extends TType> statsAggregator, Operand<? extends TType> summary) Factory method to create a class wrapping a new StatsAggregatorSetSummaryWriter operation.
static MakeIterator	MakeIterator.create(Scope scope, Operand<? extends TType> dataset, Operand<? extends TType> iterator) Factory method to create a class wrapping a new MakeIterator operation.
static MakeIterator	MakeIterator.create(Scope scope, Operand<? extends TType> dataset, Operand<? extends TType> iterator) Factory method to create a class wrapping a new MakeIterator operation.
static InitializeTableFromDataset	InitializeTableFromDataset.create(Scope scope, Operand<? extends TType> tableHandle, Operand<? extends TType> dataset) Factory method to create a class wrapping a new InitializeTableFromDataset operation.
static InitializeTableFromDataset	InitializeTableFromDataset.create(Scope scope, Operand<? extends TType> tableHandle, Operand<? extends TType> dataset) Factory method to create a class wrapping a new InitializeTableFromDataset operation.
static DeserializeIterator	DeserializeIterator.create(Scope scope, Operand<? extends TType> resourceHandle, Operand<? extends TType> serialized) Factory method to create a class wrapping a new DeserializeIterator operation.
static DeserializeIterator	DeserializeIterator.create(Scope scope, Operand<? extends TType> resourceHandle, Operand<? extends TType> serialized) Factory method to create a class wrapping a new DeserializeIterator operation.
static DeleteMemoryCache	DeleteMemoryCache.create(Scope scope, Operand<? extends TType> handle, Operand<? extends TType> deleter) Factory method to create a class wrapping a new DeleteMemoryCache operation.
static DeleteMemoryCache	DeleteMemoryCache.create(Scope scope, Operand<? extends TType> handle, Operand<? extends TType> deleter) Factory method to create a class wrapping a new DeleteMemoryCache operation.
static DeleteIterator	DeleteIterator.create(Scope scope, Operand<? extends TType> handle, Operand<? extends TType> deleter) Factory method to create a class wrapping a new DeleteIterator operation.
static DeleteIterator	DeleteIterator.create(Scope scope, Operand<? extends TType> handle, Operand<? extends TType> deleter) Factory method to create a class wrapping a new DeleteIterator operation.
static ThreadPoolDataset	ThreadPoolDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<? extends TType> threadPool, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ThreadPoolDataset operation.
static ThreadPoolDataset	ThreadPoolDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<? extends TType> threadPool, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ThreadPoolDataset operation.
static ThreadPoolDataset	ThreadPoolDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<? extends TType> threadPool, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ThreadPoolDataset operation.
static ConcatenateDataset	ConcatenateDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<? extends TType> anotherDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ConcatenateDataset.Options... options) Factory method to create a class wrapping a new ConcatenateDataset operation.
static ConcatenateDataset	ConcatenateDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<? extends TType> anotherDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ConcatenateDataset.Options... options) Factory method to create a class wrapping a new ConcatenateDataset operation.
static ConcatenateDataset	ConcatenateDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<? extends TType> anotherDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ConcatenateDataset.Options... options) Factory method to create a class wrapping a new ConcatenateDataset operation.
static MultiDeviceIteratorInit	MultiDeviceIteratorInit.create(Scope scope, Operand<? extends TType> dataset, Operand<? extends TType> multiDeviceIterator, Operand<TInt64> maxBufferSize) Factory method to create a class wrapping a new MultiDeviceIteratorInit operation.
static MultiDeviceIteratorInit	MultiDeviceIteratorInit.create(Scope scope, Operand<? extends TType> dataset, Operand<? extends TType> multiDeviceIterator, Operand<TInt64> maxBufferSize) Factory method to create a class wrapping a new MultiDeviceIteratorInit operation.
static SetStatsAggregatorDataset	SetStatsAggregatorDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<? extends TType> statsAggregator, Operand<TString> tag, Operand<TString> counterPrefix, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new SetStatsAggregatorDataset operation.
static SetStatsAggregatorDataset	SetStatsAggregatorDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<? extends TType> statsAggregator, Operand<TString> tag, Operand<TString> counterPrefix, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new SetStatsAggregatorDataset operation.
static SetStatsAggregatorDataset	SetStatsAggregatorDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<? extends TType> statsAggregator, Operand<TString> tag, Operand<TString> counterPrefix, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new SetStatsAggregatorDataset operation.
static SamplingDataset	SamplingDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TFloat32> rate, Operand<TInt64> seed, Operand<TInt64> seed2, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new SamplingDataset operation.
static SamplingDataset	SamplingDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TFloat32> rate, Operand<TInt64> seed, Operand<TInt64> seed2, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new SamplingDataset operation.
static MultiDeviceIteratorGetNextFromShard	MultiDeviceIteratorGetNextFromShard.create(Scope scope, Operand<? extends TType> multiDeviceIterator, Operand<TInt32> shardNum, Operand<TInt64> incarnationId, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new MultiDeviceIteratorGetNextFromShard operation.
static MultiDeviceIteratorGetNextFromShard	MultiDeviceIteratorGetNextFromShard.create(Scope scope, Operand<? extends TType> multiDeviceIterator, Operand<TInt32> shardNum, Operand<TInt64> incarnationId, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new MultiDeviceIteratorGetNextFromShard operation.
static ParseExampleDataset	ParseExampleDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> numParallelCalls, Iterable<Operand<?>> denseDefaults, List<String> sparseKeys, List<String> denseKeys, List<Class<? extends TType>> sparseTypes, List<org.tensorflow.ndarray.Shape> denseShapes, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, List<Class<? extends TType>> raggedValueTypes, List<Class<? extends TNumber>> raggedSplitTypes, ParseExampleDataset.Options... options) Factory method to create a class wrapping a new ParseExampleDatasetV2 operation.
static ParseExampleDataset	ParseExampleDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> numParallelCalls, Iterable<Operand<?>> denseDefaults, List<String> sparseKeys, List<String> denseKeys, List<Class<? extends TType>> sparseTypes, List<org.tensorflow.ndarray.Shape> denseShapes, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, List<Class<? extends TType>> raggedValueTypes, List<Class<? extends TNumber>> raggedSplitTypes, ParseExampleDataset.Options... options) Factory method to create a class wrapping a new ParseExampleDatasetV2 operation.
static ParseExampleDataset	ParseExampleDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> numParallelCalls, Iterable<Operand<?>> denseDefaults, List<String> sparseKeys, List<String> denseKeys, List<Class<? extends TType>> sparseTypes, List<org.tensorflow.ndarray.Shape> denseShapes, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, List<Class<? extends TType>> raggedValueTypes, List<Class<? extends TNumber>> raggedSplitTypes, ParseExampleDataset.Options... options) Factory method to create a class wrapping a new ParseExampleDatasetV2 operation.
static ParseExampleDataset	ParseExampleDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> numParallelCalls, Iterable<Operand<?>> denseDefaults, List<String> sparseKeys, List<String> denseKeys, List<Class<? extends TType>> sparseTypes, List<org.tensorflow.ndarray.Shape> denseShapes, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, List<Class<? extends TType>> raggedValueTypes, List<Class<? extends TNumber>> raggedSplitTypes, ParseExampleDataset.Options... options) Factory method to create a class wrapping a new ParseExampleDatasetV2 operation.
static PaddedBatchDataset	PaddedBatchDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> batchSize, Iterable<Operand<TInt64>> paddedShapes, Iterable<Operand<?>> paddingValues, Operand<TBool> dropRemainder, List<org.tensorflow.ndarray.Shape> outputShapes, PaddedBatchDataset.Options... options) Factory method to create a class wrapping a new PaddedBatchDatasetV2 operation.
static SleepDataset	SleepDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> sleepMicroseconds, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new SleepDataset operation.
static SleepDataset	SleepDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> sleepMicroseconds, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new SleepDataset operation.
static PrivateThreadPoolDataset	PrivateThreadPoolDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> numThreads, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new PrivateThreadPoolDataset operation.
static PrivateThreadPoolDataset	PrivateThreadPoolDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> numThreads, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new PrivateThreadPoolDataset operation.
static MaxIntraOpParallelismDataset	MaxIntraOpParallelismDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> maxIntraOpParallelism, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new MaxIntraOpParallelismDataset operation.
static MaxIntraOpParallelismDataset	MaxIntraOpParallelismDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> maxIntraOpParallelism, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new MaxIntraOpParallelismDataset operation.
static AssertCardinalityDataset	AssertCardinalityDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> cardinality, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new AssertCardinalityDataset operation.
static AssertCardinalityDataset	AssertCardinalityDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> cardinality, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new AssertCardinalityDataset operation.
static PrefetchDataset	PrefetchDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> bufferSize, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, PrefetchDataset.Options... options) Factory method to create a class wrapping a new PrefetchDataset operation.
static PrefetchDataset	PrefetchDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> bufferSize, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, PrefetchDataset.Options... options) Factory method to create a class wrapping a new PrefetchDataset operation.
static RepeatDataset	RepeatDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> count, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, RepeatDataset.Options... options) Factory method to create a class wrapping a new RepeatDataset operation.
static RepeatDataset	RepeatDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> count, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, RepeatDataset.Options... options) Factory method to create a class wrapping a new RepeatDataset operation.
static SkipDataset	SkipDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> count, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, SkipDataset.Options... options) Factory method to create a class wrapping a new SkipDataset operation.
static SkipDataset	SkipDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> count, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, SkipDataset.Options... options) Factory method to create a class wrapping a new SkipDataset operation.
static TakeDataset	TakeDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> count, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, TakeDataset.Options... options) Factory method to create a class wrapping a new TakeDataset operation.
static TakeDataset	TakeDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> count, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, TakeDataset.Options... options) Factory method to create a class wrapping a new TakeDataset operation.
static RebatchDatasetV2	RebatchDatasetV2.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> batchSizes, Operand<TBool> dropRemainder, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new RebatchDatasetV2 operation.
static RebatchDatasetV2	RebatchDatasetV2.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> batchSizes, Operand<TBool> dropRemainder, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new RebatchDatasetV2 operation.
static BatchDataset	BatchDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> batchSize, Operand<TBool> dropRemainder, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, BatchDataset.Options... options) Factory method to create a class wrapping a new BatchDatasetV2 operation.
static BatchDataset	BatchDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> batchSize, Operand<TBool> dropRemainder, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, BatchDataset.Options... options) Factory method to create a class wrapping a new BatchDatasetV2 operation.
static ChooseFastestBranchDataset	ChooseFastestBranchDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> ratioNumerator, Operand<TInt64> ratioDenominator, Iterable<Operand<?>> otherArguments, Long numElementsPerBranch, List<ConcreteFunction> branches, List<Long> otherArgumentsLengths, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ChooseFastestBranchDataset operation.
static ChooseFastestBranchDataset	ChooseFastestBranchDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> ratioNumerator, Operand<TInt64> ratioDenominator, Iterable<Operand<?>> otherArguments, Long numElementsPerBranch, List<ConcreteFunction> branches, List<Long> otherArgumentsLengths, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ChooseFastestBranchDataset operation.
static DenseToSparseBatchDataset	DenseToSparseBatchDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> batchSize, Operand<TInt64> rowShape, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new DenseToSparseBatchDataset operation.
static DenseToSparseBatchDataset	DenseToSparseBatchDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> batchSize, Operand<TInt64> rowShape, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new DenseToSparseBatchDataset operation.
static AutoShardDataset	AutoShardDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> numWorkers, Operand<TInt64> index, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, AutoShardDataset.Options... options) Factory method to create a class wrapping a new AutoShardDataset operation.
static AutoShardDataset	AutoShardDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> numWorkers, Operand<TInt64> index, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, AutoShardDataset.Options... options) Factory method to create a class wrapping a new AutoShardDataset operation.
static ShardDataset	ShardDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> numShards, Operand<TInt64> index, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ShardDataset.Options... options) Factory method to create a class wrapping a new ShardDataset operation.
static ShardDataset	ShardDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> numShards, Operand<TInt64> index, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ShardDataset.Options... options) Factory method to create a class wrapping a new ShardDataset operation.
static ParallelBatchDataset	ParallelBatchDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> batchSize, Operand<TInt64> numParallelCalls, Operand<TBool> dropRemainder, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ParallelBatchDataset.Options... options) Factory method to create a class wrapping a new ParallelBatchDataset operation.
static ParallelBatchDataset	ParallelBatchDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> batchSize, Operand<TInt64> numParallelCalls, Operand<TBool> dropRemainder, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ParallelBatchDataset.Options... options) Factory method to create a class wrapping a new ParallelBatchDataset operation.
static SlidingWindowDataset	SlidingWindowDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> windowSize, Operand<TInt64> windowShift, Operand<TInt64> windowStride, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new SlidingWindowDataset operation.
static SlidingWindowDataset	SlidingWindowDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> windowSize, Operand<TInt64> windowShift, Operand<TInt64> windowStride, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new SlidingWindowDataset operation.
static ShuffleDataset	ShuffleDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> bufferSize, Operand<TInt64> seed, Operand<TInt64> seed2, Operand<? extends TType> seedGenerator, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ShuffleDataset.Options... options) Factory method to create a class wrapping a new ShuffleDatasetV3 operation.
static ShuffleDataset	ShuffleDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> bufferSize, Operand<TInt64> seed, Operand<TInt64> seed2, Operand<? extends TType> seedGenerator, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ShuffleDataset.Options... options) Factory method to create a class wrapping a new ShuffleDatasetV3 operation.
static ShuffleDataset	ShuffleDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> bufferSize, Operand<TInt64> seed, Operand<TInt64> seed2, Operand<? extends TType> seedGenerator, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ShuffleDataset.Options... options) Factory method to create a class wrapping a new ShuffleDatasetV3 operation.
static WindowDataset	WindowDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> sizeOutput, Operand<TInt64> shift, Operand<TInt64> stride, Operand<TBool> dropRemainder, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, WindowDataset.Options... options) Factory method to create a class wrapping a new WindowDataset operation.
static WindowDataset	WindowDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> sizeOutput, Operand<TInt64> shift, Operand<TInt64> stride, Operand<TBool> dropRemainder, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, WindowDataset.Options... options) Factory method to create a class wrapping a new WindowDataset operation.
static ShuffleAndRepeatDataset	ShuffleAndRepeatDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> bufferSize, Operand<TInt64> seed, Operand<TInt64> seed2, Operand<TInt64> count, Operand<? extends TType> seedGenerator, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ShuffleAndRepeatDataset.Options... options) Factory method to create a class wrapping a new ShuffleAndRepeatDatasetV2 operation.
static ShuffleAndRepeatDataset	ShuffleAndRepeatDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> bufferSize, Operand<TInt64> seed, Operand<TInt64> seed2, Operand<TInt64> count, Operand<? extends TType> seedGenerator, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ShuffleAndRepeatDataset.Options... options) Factory method to create a class wrapping a new ShuffleAndRepeatDatasetV2 operation.
static ShuffleAndRepeatDataset	ShuffleAndRepeatDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> bufferSize, Operand<TInt64> seed, Operand<TInt64> seed2, Operand<TInt64> count, Operand<? extends TType> seedGenerator, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ShuffleAndRepeatDataset.Options... options) Factory method to create a class wrapping a new ShuffleAndRepeatDatasetV2 operation.
static SaveDataset	SaveDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TString> path, Iterable<Operand<?>> shardFuncOtherArgs, ConcreteFunction shardFunc, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, SaveDataset.Options... options) Factory method to create a class wrapping a new SaveDatasetV2 operation.
static SaveDataset	SaveDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TString> path, Iterable<Operand<?>> shardFuncOtherArgs, ConcreteFunction shardFunc, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, SaveDataset.Options... options) Factory method to create a class wrapping a new SaveDatasetV2 operation.
static SnapshotDataset	SnapshotDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TString> path, Iterable<Operand<?>> readerFuncOtherArgs, Iterable<Operand<?>> shardFuncOtherArgs, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ConcreteFunction readerFunc, ConcreteFunction shardFunc, SnapshotDataset.Options... options) Factory method to create a class wrapping a new SnapshotDatasetV2 operation.
static SnapshotDataset	SnapshotDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TString> path, Iterable<Operand<?>> readerFuncOtherArgs, Iterable<Operand<?>> shardFuncOtherArgs, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ConcreteFunction readerFunc, ConcreteFunction shardFunc, SnapshotDataset.Options... options) Factory method to create a class wrapping a new SnapshotDatasetV2 operation.
static LatencyStatsDataset	LatencyStatsDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TString> tag, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new LatencyStatsDataset operation.
static LatencyStatsDataset	LatencyStatsDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TString> tag, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new LatencyStatsDataset operation.
static BytesProducedStatsDataset	BytesProducedStatsDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TString> tag, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new BytesProducedStatsDataset operation.
static BytesProducedStatsDataset	BytesProducedStatsDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TString> tag, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new BytesProducedStatsDataset operation.
static AssertNextDataset	AssertNextDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TString> transformations, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new AssertNextDataset operation.
static AssertNextDataset	AssertNextDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TString> transformations, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new AssertNextDataset operation.
static CacheDataset	CacheDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TString> filename, Operand<? extends TType> cache, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, CacheDataset.Options... options) Factory method to create a class wrapping a new CacheDatasetV2 operation.
static CacheDataset	CacheDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TString> filename, Operand<? extends TType> cache, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, CacheDataset.Options... options) Factory method to create a class wrapping a new CacheDatasetV2 operation.
static CacheDataset	CacheDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TString> filename, Operand<? extends TType> cache, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, CacheDataset.Options... options) Factory method to create a class wrapping a new CacheDatasetV2 operation.
static DatasetToTfRecord	DatasetToTfRecord.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TString> filename, Operand<TString> compressionType) Factory method to create a class wrapping a new DatasetToTFRecord operation.
static RegisterDataset	RegisterDataset.create(Scope scope, Operand<? extends TType> dataset, Operand<TString> address, Operand<TString> protocol, Long externalStatePolicy, RegisterDataset.Options... options) Factory method to create a class wrapping a new RegisterDataset operation.
static OptimizeDataset	OptimizeDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TString> optimizationsEnabled, Operand<TString> optimizationsDisabled, Operand<TString> optimizationsDefault, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, OptimizeDataset.Options... options) Factory method to create a class wrapping a new OptimizeDatasetV2 operation.
static OptimizeDataset	OptimizeDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TString> optimizationsEnabled, Operand<TString> optimizationsDisabled, Operand<TString> optimizationsDefault, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, OptimizeDataset.Options... options) Factory method to create a class wrapping a new OptimizeDatasetV2 operation.
static SerializeIterator	SerializeIterator.create(Scope scope, Operand<? extends TType> resourceHandle, SerializeIterator.Options... options) Factory method to create a class wrapping a new SerializeIterator operation.
static OptionsDataset	OptionsDataset.create(Scope scope, Operand<? extends TType> inputDataset, String serializedOptions, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, OptionsDataset.Options... options) Factory method to create a class wrapping a new OptionsDataset operation.
static OptionsDataset	OptionsDataset.create(Scope scope, Operand<? extends TType> inputDataset, String serializedOptions, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, OptionsDataset.Options... options) Factory method to create a class wrapping a new OptionsDataset operation.
static SparseTensorSliceDataset	SparseTensorSliceDataset.create(Scope scope, Operand<TInt64> indices, Operand<? extends TType> values, Operand<TInt64> denseShape) Factory method to create a class wrapping a new SparseTensorSliceDataset operation.
static RandomDataset	RandomDataset.create(Scope scope, Operand<TInt64> seed, Operand<TInt64> seed2, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, RandomDataset.Options... options) Factory method to create a class wrapping a new RandomDataset operation.
static RangeDataset	RangeDataset.create(Scope scope, Operand<TInt64> start, Operand<TInt64> stop, Operand<TInt64> step, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, RangeDataset.Options... options) Factory method to create a class wrapping a new RangeDataset operation.
static DataServiceDatasetV2	DataServiceDatasetV2.create(Scope scope, Operand<TInt64> datasetId, Operand<TString> processingMode, Operand<TString> address, Operand<TString> protocol, Operand<TString> jobName, Operand<TInt64> consumerIndex, Operand<TInt64> numConsumers, Operand<TInt64> maxOutstandingRequests, Operand<? extends TType> iterationCounter, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, DataServiceDatasetV2.Options... options) Factory method to create a class wrapping a new DataServiceDatasetV2 operation.
static DataServiceDatasetV2	DataServiceDatasetV2.create(Scope scope, Operand<TInt64> datasetId, Operand<TString> processingMode, Operand<TString> address, Operand<TString> protocol, Operand<TString> jobName, Operand<TInt64> consumerIndex, Operand<TInt64> numConsumers, Operand<TInt64> maxOutstandingRequests, Operand<? extends TType> iterationCounter, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, DataServiceDatasetV2.Options... options) Factory method to create a class wrapping a new DataServiceDatasetV2 operation.
static LoadDataset	LoadDataset.create(Scope scope, Operand<TString> path, Iterable<Operand<?>> readerFuncOtherArgs, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ConcreteFunction readerFunc, LoadDataset.Options... options) Factory method to create a class wrapping a new LoadDataset operation.
static IteratorFromStringHandle	IteratorFromStringHandle.create(Scope scope, Operand<TString> stringHandle, List<Class<? extends TType>> outputTypes, IteratorFromStringHandle.Options... options) Factory method to create a class wrapping a new IteratorFromStringHandleV2 operation.
static LMDBDataset	LMDBDataset.create(Scope scope, Operand<TString> filenames, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new LMDBDataset operation.
static MultiDeviceIteratorFromStringHandle	MultiDeviceIteratorFromStringHandle.create(Scope scope, Operand<TString> stringHandle, List<Class<? extends TType>> outputTypes, MultiDeviceIteratorFromStringHandle.Options... options) Factory method to create a class wrapping a new MultiDeviceIteratorFromStringHandle operation.
static SnapshotDatasetReader	SnapshotDatasetReader.create(Scope scope, Operand<TString> shardDir, Operand<TInt64> startIndex, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, Long version, SnapshotDatasetReader.Options... options) Factory method to create a class wrapping a new SnapshotDatasetReader operation.
static SqlDataset	SqlDataset.create(Scope scope, Operand<TString> driverName, Operand<TString> dataSourceName, Operand<TString> query, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new SqlDataset operation.
static Iterator	Iterator.create(Scope scope, String sharedName, String container, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new IteratorV2 operation.

Uses of TType in org.tensorflow.op.data.experimental

Fields in org.tensorflow.op.data.experimental with type parameters of type TType

Modifier and Type	Field and Description
Iterable<Operand<? extends TType>>	DirectedInterleaveDataset.Inputs.dataInputDatasets N datasets with the same type that will be interleaved according to the values of selector_input_dataset.
Operand<? extends TType>	UniqueDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	UnbatchDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	ThreadPoolDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	TakeWhileDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	SlidingWindowDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	SleepDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	SetStatsAggregatorDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	ScanDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	RebatchDataset.Inputs.inputDataset A variant tensor representing the input dataset.
Operand<? extends TType>	PrivateThreadPoolDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	ParseExampleDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	ParallelInterleaveDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	NonSerializableDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	MaxIntraOpParallelismDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	MapDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	MapAndBatchDataset.Inputs.inputDataset A variant tensor representing the input dataset.
Operand<? extends TType>	LatencyStatsDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	IgnoreErrorsDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	GroupByWindowDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	GroupByReducerDataset.Inputs.inputDataset A variant tensor representing the input dataset.
Operand<? extends TType>	DenseToSparseBatchDataset.Inputs.inputDataset A handle to an input dataset.
Operand<? extends TType>	DatasetToTFRecord.Inputs.inputDataset A variant tensor representing the dataset to write.
Operand<? extends TType>	DatasetCardinality.Inputs.inputDataset A variant tensor representing the dataset to return cardinality for.
Operand<? extends TType>	BytesProducedStatsDataset.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	AutoShardDataset.Inputs.inputDataset A variant tensor representing the input dataset.
Operand<? extends TType>	AssertNextDataset.Inputs.inputDataset The inputDataset input
Iterable<Operand<? extends TType>>	ChooseFastestDataset.Inputs.inputDatasets The inputDatasets input
Operand<? extends TType>	StatsAggregatorSummary.Inputs.iterator The iterator input
Operand<? extends TType>	IteratorGetDevice.Inputs.resource The resource input
Operand<? extends TType>	DirectedInterleaveDataset.Inputs.selectorInputDataset A dataset of scalar DT_INT64 elements that determines which of the N data inputs should produce the next output element.
Operand<? extends TType>	SetStatsAggregatorDataset.Inputs.statsAggregator The statsAggregator input
Operand<? extends TType>	ThreadPoolDataset.Inputs.threadPool A resource produced by the ThreadPoolHandle op.

Methods in org.tensorflow.op.data.experimental that return types with arguments of type TType

Modifier and Type	Method and Description
Output<TType>	UniqueDataset.asOutput()
Output<TType>	UnbatchDataset.asOutput()
Output<TType>	ThreadPoolHandle.asOutput()
Output<TType>	ThreadPoolDataset.asOutput()
Output<TType>	TakeWhileDataset.asOutput()
Output<TType>	StatsAggregatorHandle.asOutput()
Output<TType>	SqlDataset.asOutput()
Output<TType>	SlidingWindowDataset.asOutput()
Output<TType>	SleepDataset.asOutput()
Output<TType>	SetStatsAggregatorDataset.asOutput()
Output<TType>	ScanDataset.asOutput()
Output<TType>	RebatchDataset.asOutput()
Output<TType>	RandomDataset.asOutput()
Output<TType>	PrivateThreadPoolDataset.asOutput()
Output<TType>	ParseExampleDataset.asOutput()
Output<TType>	ParallelInterleaveDataset.asOutput()
Output<TType>	NonSerializableDataset.asOutput()
Output<TType>	MaxIntraOpParallelismDataset.asOutput()
Output<TType>	MatchingFilesDataset.asOutput()
Output<TType>	MapDataset.asOutput()
Output<TType>	MapAndBatchDataset.asOutput()
Output<TType>	LmdbDataset.asOutput()
Output<TType>	LatencyStatsDataset.asOutput()
Output<TType>	IgnoreErrorsDataset.asOutput()
Output<TType>	GroupByWindowDataset.asOutput()
Output<TType>	GroupByReducerDataset.asOutput()
Output<TType>	DirectedInterleaveDataset.asOutput()
Output<TType>	DenseToSparseBatchDataset.asOutput()
Output<TType>	ChooseFastestDataset.asOutput()
Output<TType>	CSVDataset.asOutput()
Output<TType>	BytesProducedStatsDataset.asOutput()
Output<TType>	AutoShardDataset.asOutput()
Output<TType>	AssertNextDataset.asOutput()
Output<? extends TType>	UniqueDataset.handle() Gets handle.
Output<? extends TType>	UnbatchDataset.handle() Gets handle.
Output<? extends TType>	ThreadPoolHandle.handle() Gets handle.
Output<? extends TType>	ThreadPoolDataset.handle() Gets handle.
Output<? extends TType>	TakeWhileDataset.handle() Gets handle.
Output<? extends TType>	StatsAggregatorHandle.handle() Gets handle.
Output<? extends TType>	SqlDataset.handle() Gets handle.
Output<? extends TType>	SlidingWindowDataset.handle() Gets handle.
Output<? extends TType>	SleepDataset.handle() Gets handle.
Output<? extends TType>	SetStatsAggregatorDataset.handle() Gets handle.
Output<? extends TType>	ScanDataset.handle() Gets handle.
Output<? extends TType>	RebatchDataset.handle() Gets handle.
Output<? extends TType>	RandomDataset.handle() Gets handle.
Output<? extends TType>	PrivateThreadPoolDataset.handle() Gets handle.
Output<? extends TType>	ParseExampleDataset.handle() Gets handle.
Output<? extends TType>	ParallelInterleaveDataset.handle() Gets handle.
Output<? extends TType>	NonSerializableDataset.handle() Gets handle.
Output<? extends TType>	MaxIntraOpParallelismDataset.handle() Gets handle.
Output<? extends TType>	MatchingFilesDataset.handle() Gets handle.
Output<? extends TType>	MapDataset.handle() Gets handle.
Output<? extends TType>	MapAndBatchDataset.handle() Gets handle.
Output<? extends TType>	LmdbDataset.handle() Gets handle.
Output<? extends TType>	LatencyStatsDataset.handle() Gets handle.
Output<? extends TType>	IgnoreErrorsDataset.handle() Gets handle.
Output<? extends TType>	GroupByWindowDataset.handle() Gets handle.
Output<? extends TType>	GroupByReducerDataset.handle() Gets handle.
Output<? extends TType>	DirectedInterleaveDataset.handle() Gets handle.
Output<? extends TType>	DenseToSparseBatchDataset.handle() Gets handle.
Output<? extends TType>	ChooseFastestDataset.handle() Gets handle.
Output<? extends TType>	CSVDataset.handle() Gets handle.
Output<? extends TType>	BytesProducedStatsDataset.handle() Gets handle.
Output<? extends TType>	AutoShardDataset.handle() Gets handle.
Output<? extends TType>	AssertNextDataset.handle() Gets handle.

Method parameters in org.tensorflow.op.data.experimental with type arguments of type TType

Modifier and Type	Method and Description
static ChooseFastestDataset	ChooseFastestDataset.create(Scope scope, Iterable<Operand<? extends TType>> inputDatasets, Long numExperiments, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalChooseFastestDataset operation.
static ChooseFastestDataset	ChooseFastestDataset.create(Scope scope, Iterable<Operand<? extends TType>> inputDatasets, Long numExperiments, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalChooseFastestDataset operation.
static StatsAggregatorSummary	StatsAggregatorSummary.create(Scope scope, Operand<? extends TType> iterator) Factory method to create a class wrapping a new ExperimentalStatsAggregatorSummary operation.
static IteratorGetDevice	IteratorGetDevice.create(Scope scope, Operand<? extends TType> resource) Factory method to create a class wrapping a new ExperimentalIteratorGetDevice operation.
static DatasetCardinality	DatasetCardinality.create(Scope scope, Operand<? extends TType> inputDataset) Factory method to create a class wrapping a new ExperimentalDatasetCardinality operation.
static TakeWhileDataset	TakeWhileDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, ConcreteFunction predicate, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalTakeWhileDataset operation.
static TakeWhileDataset	TakeWhileDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, ConcreteFunction predicate, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalTakeWhileDataset operation.
static MapDataset	MapDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, MapDataset.Options... options) Factory method to create a class wrapping a new ExperimentalMapDataset operation.
static MapDataset	MapDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, MapDataset.Options... options) Factory method to create a class wrapping a new ExperimentalMapDataset operation.
static ScanDataset	ScanDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> initialState, Iterable<Operand<?>> otherArguments, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ScanDataset.Options... options) Factory method to create a class wrapping a new ExperimentalScanDataset operation.
static ScanDataset	ScanDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> initialState, Iterable<Operand<?>> otherArguments, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ScanDataset.Options... options) Factory method to create a class wrapping a new ExperimentalScanDataset operation.
static GroupByWindowDataset	GroupByWindowDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> keyFuncOtherArguments, Iterable<Operand<?>> reduceFuncOtherArguments, Iterable<Operand<?>> windowSizeFuncOtherArguments, ConcreteFunction keyFunc, ConcreteFunction reduceFunc, ConcreteFunction windowSizeFunc, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalGroupByWindowDataset operation.
static GroupByWindowDataset	GroupByWindowDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> keyFuncOtherArguments, Iterable<Operand<?>> reduceFuncOtherArguments, Iterable<Operand<?>> windowSizeFuncOtherArguments, ConcreteFunction keyFunc, ConcreteFunction reduceFunc, ConcreteFunction windowSizeFunc, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalGroupByWindowDataset operation.
static GroupByReducerDataset	GroupByReducerDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> keyFuncOtherArguments, Iterable<Operand<?>> initFuncOtherArguments, Iterable<Operand<?>> reduceFuncOtherArguments, Iterable<Operand<?>> finalizeFuncOtherArguments, ConcreteFunction keyFunc, ConcreteFunction initFunc, ConcreteFunction reduceFunc, ConcreteFunction finalizeFunc, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalGroupByReducerDataset operation.
static GroupByReducerDataset	GroupByReducerDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> keyFuncOtherArguments, Iterable<Operand<?>> initFuncOtherArguments, Iterable<Operand<?>> reduceFuncOtherArguments, Iterable<Operand<?>> finalizeFuncOtherArguments, ConcreteFunction keyFunc, ConcreteFunction initFunc, ConcreteFunction reduceFunc, ConcreteFunction finalizeFunc, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalGroupByReducerDataset operation.
static MapAndBatchDataset	MapAndBatchDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, Operand<TInt64> batchSize, Operand<TInt64> numParallelCalls, Operand<TBool> dropRemainder, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, MapAndBatchDataset.Options... options) Factory method to create a class wrapping a new ExperimentalMapAndBatchDataset operation.
static MapAndBatchDataset	MapAndBatchDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, Operand<TInt64> batchSize, Operand<TInt64> numParallelCalls, Operand<TBool> dropRemainder, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, MapAndBatchDataset.Options... options) Factory method to create a class wrapping a new ExperimentalMapAndBatchDataset operation.
static ParallelInterleaveDataset	ParallelInterleaveDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, Operand<TInt64> cycleLength, Operand<TInt64> blockLength, Operand<TBool> sloppy, Operand<TInt64> bufferOutputElements, Operand<TInt64> prefetchInputElements, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalParallelInterleaveDataset operation.
static ParallelInterleaveDataset	ParallelInterleaveDataset.create(Scope scope, Operand<? extends TType> inputDataset, Iterable<Operand<?>> otherArguments, Operand<TInt64> cycleLength, Operand<TInt64> blockLength, Operand<TBool> sloppy, Operand<TInt64> bufferOutputElements, Operand<TInt64> prefetchInputElements, ConcreteFunction f, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalParallelInterleaveDataset operation.
static DirectedInterleaveDataset	DirectedInterleaveDataset.create(Scope scope, Operand<? extends TType> selectorInputDataset, Iterable<Operand<? extends TType>> dataInputDatasets, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalDirectedInterleaveDataset operation.
static DirectedInterleaveDataset	DirectedInterleaveDataset.create(Scope scope, Operand<? extends TType> selectorInputDataset, Iterable<Operand<? extends TType>> dataInputDatasets, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalDirectedInterleaveDataset operation.
static DirectedInterleaveDataset	DirectedInterleaveDataset.create(Scope scope, Operand<? extends TType> selectorInputDataset, Iterable<Operand<? extends TType>> dataInputDatasets, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalDirectedInterleaveDataset operation.
static UniqueDataset	UniqueDataset.create(Scope scope, Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalUniqueDataset operation.
static UniqueDataset	UniqueDataset.create(Scope scope, Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalUniqueDataset operation.
static UnbatchDataset	UnbatchDataset.create(Scope scope, Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalUnbatchDataset operation.
static UnbatchDataset	UnbatchDataset.create(Scope scope, Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalUnbatchDataset operation.
static NonSerializableDataset	NonSerializableDataset.create(Scope scope, Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalNonSerializableDataset operation.
static NonSerializableDataset	NonSerializableDataset.create(Scope scope, Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalNonSerializableDataset operation.
static IgnoreErrorsDataset	IgnoreErrorsDataset.create(Scope scope, Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, IgnoreErrorsDataset.Options... options) Factory method to create a class wrapping a new ExperimentalIgnoreErrorsDataset operation.
static IgnoreErrorsDataset	IgnoreErrorsDataset.create(Scope scope, Operand<? extends TType> inputDataset, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, IgnoreErrorsDataset.Options... options) Factory method to create a class wrapping a new ExperimentalIgnoreErrorsDataset operation.
static ThreadPoolDataset	ThreadPoolDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<? extends TType> threadPool, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalThreadPoolDataset operation.
static ThreadPoolDataset	ThreadPoolDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<? extends TType> threadPool, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalThreadPoolDataset operation.
static ThreadPoolDataset	ThreadPoolDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<? extends TType> threadPool, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalThreadPoolDataset operation.
static SetStatsAggregatorDataset	SetStatsAggregatorDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<? extends TType> statsAggregator, Operand<TString> tag, Operand<TString> counterPrefix, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalSetStatsAggregatorDataset operation.
static SetStatsAggregatorDataset	SetStatsAggregatorDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<? extends TType> statsAggregator, Operand<TString> tag, Operand<TString> counterPrefix, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalSetStatsAggregatorDataset operation.
static SetStatsAggregatorDataset	SetStatsAggregatorDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<? extends TType> statsAggregator, Operand<TString> tag, Operand<TString> counterPrefix, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalSetStatsAggregatorDataset operation.
static ParseExampleDataset	ParseExampleDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> numParallelCalls, Iterable<Operand<?>> denseDefaults, List<String> sparseKeys, List<String> denseKeys, List<Class<? extends TType>> sparseTypes, List<org.tensorflow.ndarray.Shape> denseShapes, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ParseExampleDataset.Options... options) Factory method to create a class wrapping a new ExperimentalParseExampleDataset operation.
static ParseExampleDataset	ParseExampleDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> numParallelCalls, Iterable<Operand<?>> denseDefaults, List<String> sparseKeys, List<String> denseKeys, List<Class<? extends TType>> sparseTypes, List<org.tensorflow.ndarray.Shape> denseShapes, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ParseExampleDataset.Options... options) Factory method to create a class wrapping a new ExperimentalParseExampleDataset operation.
static ParseExampleDataset	ParseExampleDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> numParallelCalls, Iterable<Operand<?>> denseDefaults, List<String> sparseKeys, List<String> denseKeys, List<Class<? extends TType>> sparseTypes, List<org.tensorflow.ndarray.Shape> denseShapes, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, ParseExampleDataset.Options... options) Factory method to create a class wrapping a new ExperimentalParseExampleDataset operation.
static SleepDataset	SleepDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> sleepMicroseconds, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalSleepDataset operation.
static SleepDataset	SleepDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> sleepMicroseconds, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalSleepDataset operation.
static PrivateThreadPoolDataset	PrivateThreadPoolDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> numThreads, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalPrivateThreadPoolDataset operation.
static PrivateThreadPoolDataset	PrivateThreadPoolDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> numThreads, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalPrivateThreadPoolDataset operation.
static MaxIntraOpParallelismDataset	MaxIntraOpParallelismDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> maxIntraOpParallelism, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalMaxIntraOpParallelismDataset operation.
static MaxIntraOpParallelismDataset	MaxIntraOpParallelismDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> maxIntraOpParallelism, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalMaxIntraOpParallelismDataset operation.
static RebatchDataset	RebatchDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> numReplicas, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, RebatchDataset.Options... options) Factory method to create a class wrapping a new ExperimentalRebatchDataset operation.
static RebatchDataset	RebatchDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> numReplicas, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, RebatchDataset.Options... options) Factory method to create a class wrapping a new ExperimentalRebatchDataset operation.
static DenseToSparseBatchDataset	DenseToSparseBatchDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> batchSize, Operand<TInt64> rowShape, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalDenseToSparseBatchDataset operation.
static DenseToSparseBatchDataset	DenseToSparseBatchDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> batchSize, Operand<TInt64> rowShape, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalDenseToSparseBatchDataset operation.
static AutoShardDataset	AutoShardDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> numWorkers, Operand<TInt64> index, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, AutoShardDataset.Options... options) Factory method to create a class wrapping a new ExperimentalAutoShardDataset operation.
static AutoShardDataset	AutoShardDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> numWorkers, Operand<TInt64> index, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes, AutoShardDataset.Options... options) Factory method to create a class wrapping a new ExperimentalAutoShardDataset operation.
static SlidingWindowDataset	SlidingWindowDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> windowSize, Operand<TInt64> windowShift, Operand<TInt64> windowStride, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalSlidingWindowDataset operation.
static SlidingWindowDataset	SlidingWindowDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> windowSize, Operand<TInt64> windowShift, Operand<TInt64> windowStride, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalSlidingWindowDataset operation.
static LatencyStatsDataset	LatencyStatsDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TString> tag, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalLatencyStatsDataset operation.
static LatencyStatsDataset	LatencyStatsDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TString> tag, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalLatencyStatsDataset operation.
static BytesProducedStatsDataset	BytesProducedStatsDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TString> tag, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalBytesProducedStatsDataset operation.
static BytesProducedStatsDataset	BytesProducedStatsDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TString> tag, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalBytesProducedStatsDataset operation.
static AssertNextDataset	AssertNextDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TString> transformations, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalAssertNextDataset operation.
static AssertNextDataset	AssertNextDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TString> transformations, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalAssertNextDataset operation.
static DatasetToTFRecord	DatasetToTFRecord.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TString> filename, Operand<TString> compressionType) Factory method to create a class wrapping a new ExperimentalDatasetToTFRecord operation.
static RandomDataset	RandomDataset.create(Scope scope, Operand<TInt64> seed, Operand<TInt64> seed2, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalRandomDataset operation.
static LmdbDataset	LmdbDataset.create(Scope scope, Operand<TString> filenames, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalLMDBDataset operation.
static SqlDataset	SqlDataset.create(Scope scope, Operand<TString> driverName, Operand<TString> dataSourceName, Operand<TString> query, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes) Factory method to create a class wrapping a new ExperimentalSqlDataset operation.

Uses of TType in org.tensorflow.op.debugging

Classes in org.tensorflow.op.debugging with type parameters of type TType

Modifier and Type	Class and Description
class	DebugGradientIdentity<T extends TType> Identity op for gradient debugging.
static class	DebugGradientIdentity.Inputs<T extends TType>
class	DebugGradientRefIdentity<T extends TType> Identity op for gradient debugging.
static class	DebugGradientRefIdentity.Inputs<T extends TType>
class	DebugIdentity<T extends TType> Debug Identity V2 Op.
static class	DebugIdentity.Inputs<T extends TType>

Fields in org.tensorflow.op.debugging with type parameters of type TType

Modifier and Type	Field and Description
Operand<? extends TType>	DebugNumericsSummary.Inputs.input Input tensor, to be summarized by the op.
Operand<? extends TType>	DebugNanCount.Inputs.input Input tensor, non-Reference type.

Methods in org.tensorflow.op.debugging with type parameters of type TType

Modifier and Type	Method and Description
static <T extends TType> DebugGradientRefIdentity<T>	DebugGradientRefIdentity.create(Scope scope, Operand<T> input) Factory method to create a class wrapping a new DebugGradientRefIdentity operation.
static <T extends TType> DebugGradientIdentity<T>	DebugGradientIdentity.create(Scope scope, Operand<T> input) Factory method to create a class wrapping a new DebugGradientIdentity operation.
static <T extends TType> DebugIdentity<T>	DebugIdentity.create(Scope scope, Operand<T> input, DebugIdentity.Options... options) Factory method to create a class wrapping a new DebugIdentityV2 operation.

Method parameters in org.tensorflow.op.debugging with type arguments of type TType

Modifier and Type	Method and Description
static <U extends TNumber> DebugNumericsSummary<U>	DebugNumericsSummary.create(Scope scope, Operand<? extends TType> input, Class<U> outputDtype, DebugNumericsSummary.Options... options) Factory method to create a class wrapping a new DebugNumericSummaryV2 operation.
static DebugNanCount	DebugNanCount.create(Scope scope, Operand<? extends TType> input, DebugNanCount.Options... options) Factory method to create a class wrapping a new DebugNanCount operation.
static DebugNumericsSummary<TFloat32>	DebugNumericsSummary.create(Scope scope, Operand<? extends TType> input, DebugNumericsSummary.Options[] options) Factory method to create a class wrapping a new DebugNumericSummaryV2 operation, with the default output types.

Uses of TType in org.tensorflow.op.dtypes

Classes in org.tensorflow.op.dtypes with type parameters of type TType

Modifier and Type	Class and Description
class	Cast<U extends TType> Cast x of type SrcT to y of DstT.
class	Complex<U extends TType> Converts two real numbers to a complex number.

Fields in org.tensorflow.op.dtypes with type parameters of type TType

Modifier and Type	Field and Description
Operand<? extends TType>	ToBool.Inputs.input The input input
Operand<? extends TType>	AsString.Inputs.input The input input
Operand<? extends TType>	Cast.Inputs.x The x input

Methods in org.tensorflow.op.dtypes with type parameters of type TType

Modifier and Type	Method and Description
static <U extends TType> Cast<U>	Cast.create(Scope scope, Operand<? extends TType> x, Class<U> DstT, Cast.Options... options) Factory method to create a class wrapping a new Cast operation.
static <U extends TType,T extends TNumber> Complex<U>	Complex.create(Scope scope, Operand<T> real, Operand<T> imag, Class<U> Tout) Factory method to create a class wrapping a new Complex operation.

Method parameters in org.tensorflow.op.dtypes with type arguments of type TType

Modifier and Type	Method and Description
static ToBool	ToBool.create(Scope scope, Operand<? extends TType> input) Factory method to create a class wrapping a new ToBool operation.
static AsString	AsString.create(Scope scope, Operand<? extends TType> input, AsString.Options... options) Factory method to create a class wrapping a new AsString operation.
static <U extends TType> Cast<U>	Cast.create(Scope scope, Operand<? extends TType> x, Class<U> DstT, Cast.Options... options) Factory method to create a class wrapping a new Cast operation.

Uses of TType in org.tensorflow.op.estimator

Fields in org.tensorflow.op.estimator with type parameters of type TType

Modifier and Type	Field and Description
Operand<? extends TType>	IsBoostedTreesQuantileStreamResourceInitialized.Inputs.quantileStreamResourceHandle resource; The reference to quantile stream resource handle.
Operand<? extends TType>	BoostedTreesQuantileStreamResourceGetBucketBoundaries.Inputs.quantileStreamResourceHandle resource handle referring to a QuantileStreamResource.
Operand<? extends TType>	BoostedTreesQuantileStreamResourceFlush.Inputs.quantileStreamResourceHandle resource handle referring to a QuantileStreamResource.
Operand<? extends TType>	BoostedTreesQuantileStreamResourceDeserialize.Inputs.quantileStreamResourceHandle resource handle referring to a QuantileStreamResource.
Operand<? extends TType>	BoostedTreesQuantileStreamResourceAddSummaries.Inputs.quantileStreamResourceHandle resource handle referring to a QuantileStreamResource.
Operand<? extends TType>	BoostedTreesFlushQuantileSummaries.Inputs.quantileStreamResourceHandle resource handle referring to a QuantileStreamResource.
Operand<? extends TType>	BoostedTreesCreateQuantileStreamResource.Inputs.quantileStreamResourceHandle resource; Handle to quantile stream resource.
Operand<? extends TType>	IsBoostedTreesEnsembleInitialized.Inputs.treeEnsembleHandle Handle to the tree ensemble resource.
Operand<? extends TType>	BoostedTreesUpdateEnsembleV2.Inputs.treeEnsembleHandle Handle to the ensemble variable.
Operand<? extends TType>	BoostedTreesUpdateEnsemble.Inputs.treeEnsembleHandle Handle to the ensemble variable.
Operand<? extends TType>	BoostedTreesTrainingPredict.Inputs.treeEnsembleHandle The treeEnsembleHandle input
Operand<? extends TType>	BoostedTreesSerializeEnsemble.Inputs.treeEnsembleHandle Handle to the tree ensemble.
Operand<? extends TType>	BoostedTreesPredict.Inputs.treeEnsembleHandle The treeEnsembleHandle input
Operand<? extends TType>	BoostedTreesGetEnsembleStates.Inputs.treeEnsembleHandle Handle to the tree ensemble.
Operand<? extends TType>	BoostedTreesExampleDebugOutputs.Inputs.treeEnsembleHandle The treeEnsembleHandle input
Operand<? extends TType>	BoostedTreesDeserializeEnsemble.Inputs.treeEnsembleHandle Handle to the tree ensemble.
Operand<? extends TType>	BoostedTreesCreateEnsemble.Inputs.treeEnsembleHandle Handle to the tree ensemble resource to be created.
Operand<? extends TType>	BoostedTreesCenterBias.Inputs.treeEnsembleHandle Handle to the tree ensemble.

Methods in org.tensorflow.op.estimator that return types with arguments of type TType

Modifier and Type	Method and Description
Output<TType>	BoostedTreesQuantileStreamResourceHandleOp.asOutput()
Output<TType>	BoostedTreesEnsembleResourceHandleOp.asOutput()
Output<? extends TType>	BoostedTreesQuantileStreamResourceHandleOp.resource() Gets resource.
Output<? extends TType>	BoostedTreesEnsembleResourceHandleOp.resource() Gets resource.

Method parameters in org.tensorflow.op.estimator with type arguments of type TType

Modifier and Type	Method and Description
static IsBoostedTreesQuantileStreamResourceInitialized	IsBoostedTreesQuantileStreamResourceInitialized.create(Scope scope, Operand<? extends TType> quantileStreamResourceHandle) Factory method to create a class wrapping a new IsBoostedTreesQuantileStreamResourceInitialized operation.
static IsBoostedTreesEnsembleInitialized	IsBoostedTreesEnsembleInitialized.create(Scope scope, Operand<? extends TType> treeEnsembleHandle) Factory method to create a class wrapping a new IsBoostedTreesEnsembleInitialized operation.
static BoostedTreesSerializeEnsemble	BoostedTreesSerializeEnsemble.create(Scope scope, Operand<? extends TType> treeEnsembleHandle) Factory method to create a class wrapping a new BoostedTreesSerializeEnsemble operation.
static BoostedTreesGetEnsembleStates	BoostedTreesGetEnsembleStates.create(Scope scope, Operand<? extends TType> treeEnsembleHandle) Factory method to create a class wrapping a new BoostedTreesGetEnsembleStates operation.
static BoostedTreesQuantileStreamResourceDeserialize	BoostedTreesQuantileStreamResourceDeserialize.create(Scope scope, Operand<? extends TType> quantileStreamResourceHandle, Iterable<Operand<TFloat32>> bucketBoundaries) Factory method to create a class wrapping a new BoostedTreesQuantileStreamResourceDeserialize operation.
static BoostedTreesQuantileStreamResourceAddSummaries	BoostedTreesQuantileStreamResourceAddSummaries.create(Scope scope, Operand<? extends TType> quantileStreamResourceHandle, Iterable<Operand<TFloat32>> summaries) Factory method to create a class wrapping a new BoostedTreesQuantileStreamResourceAddSummaries operation.
static BoostedTreesUpdateEnsembleV2	BoostedTreesUpdateEnsembleV2.create(Scope scope, Operand<? extends TType> treeEnsembleHandle, Iterable<Operand<TInt32>> featureIds, Iterable<Operand<TInt32>> dimensionIds, Iterable<Operand<TInt32>> nodeIds, Iterable<Operand<TFloat32>> gains, Iterable<Operand<TInt32>> thresholds, Iterable<Operand<TFloat32>> leftNodeContribs, Iterable<Operand<TFloat32>> rightNodeContribs, Iterable<Operand<TString>> splitTypes, Operand<TInt32> maxDepth, Operand<TFloat32> learningRate, Operand<TInt32> pruningMode, BoostedTreesUpdateEnsembleV2.Options... options) Factory method to create a class wrapping a new BoostedTreesUpdateEnsembleV2 operation.
static BoostedTreesPredict	BoostedTreesPredict.create(Scope scope, Operand<? extends TType> treeEnsembleHandle, Iterable<Operand<TInt32>> bucketizedFeatures, Long logitsDimension) Factory method to create a class wrapping a new BoostedTreesPredict operation.
static BoostedTreesExampleDebugOutputs	BoostedTreesExampleDebugOutputs.create(Scope scope, Operand<? extends TType> treeEnsembleHandle, Iterable<Operand<TInt32>> bucketizedFeatures, Long logitsDimension) Factory method to create a class wrapping a new BoostedTreesExampleDebugOutputs operation.
static BoostedTreesQuantileStreamResourceGetBucketBoundaries	BoostedTreesQuantileStreamResourceGetBucketBoundaries.create(Scope scope, Operand<? extends TType> quantileStreamResourceHandle, Long numFeatures) Factory method to create a class wrapping a new BoostedTreesQuantileStreamResourceGetBucketBoundaries operation.
static BoostedTreesFlushQuantileSummaries	BoostedTreesFlushQuantileSummaries.create(Scope scope, Operand<? extends TType> quantileStreamResourceHandle, Long numFeatures) Factory method to create a class wrapping a new BoostedTreesFlushQuantileSummaries operation.
static BoostedTreesCenterBias	BoostedTreesCenterBias.create(Scope scope, Operand<? extends TType> treeEnsembleHandle, Operand<TFloat32> meanGradients, Operand<TFloat32> meanHessians, Operand<TFloat32> l1, Operand<TFloat32> l2) Factory method to create a class wrapping a new BoostedTreesCenterBias operation.
static BoostedTreesCreateQuantileStreamResource	BoostedTreesCreateQuantileStreamResource.create(Scope scope, Operand<? extends TType> quantileStreamResourceHandle, Operand<TFloat32> epsilon, Operand<TInt64> numStreams, BoostedTreesCreateQuantileStreamResource.Options... options) Factory method to create a class wrapping a new BoostedTreesCreateQuantileStreamResource operation.
static BoostedTreesUpdateEnsemble	BoostedTreesUpdateEnsemble.create(Scope scope, Operand<? extends TType> treeEnsembleHandle, Operand<TInt32> featureIds, Iterable<Operand<TInt32>> nodeIds, Iterable<Operand<TFloat32>> gains, Iterable<Operand<TInt32>> thresholds, Iterable<Operand<TFloat32>> leftNodeContribs, Iterable<Operand<TFloat32>> rightNodeContribs, Operand<TInt32> maxDepth, Operand<TFloat32> learningRate, Long pruningMode) Factory method to create a class wrapping a new BoostedTreesUpdateEnsemble operation.
static BoostedTreesTrainingPredict	BoostedTreesTrainingPredict.create(Scope scope, Operand<? extends TType> treeEnsembleHandle, Operand<TInt32> cachedTreeIds, Operand<TInt32> cachedNodeIds, Iterable<Operand<TInt32>> bucketizedFeatures, Long logitsDimension) Factory method to create a class wrapping a new BoostedTreesTrainingPredict operation.
static BoostedTreesQuantileStreamResourceFlush	BoostedTreesQuantileStreamResourceFlush.create(Scope scope, Operand<? extends TType> quantileStreamResourceHandle, Operand<TInt64> numBuckets, BoostedTreesQuantileStreamResourceFlush.Options... options) Factory method to create a class wrapping a new BoostedTreesQuantileStreamResourceFlush operation.
static BoostedTreesDeserializeEnsemble	BoostedTreesDeserializeEnsemble.create(Scope scope, Operand<? extends TType> treeEnsembleHandle, Operand<TInt64> stampToken, Operand<TString> treeEnsembleSerialized) Factory method to create a class wrapping a new BoostedTreesDeserializeEnsemble operation.
static BoostedTreesCreateEnsemble	BoostedTreesCreateEnsemble.create(Scope scope, Operand<? extends TType> treeEnsembleHandle, Operand<TInt64> stampToken, Operand<TString> treeEnsembleSerialized) Factory method to create a class wrapping a new BoostedTreesCreateEnsemble operation.

Uses of TType in org.tensorflow.op.image

Classes in org.tensorflow.op.image with type parameters of type TType

Modifier and Type	Class and Description
class	ExtractImagePatches<T extends TType> Extract patches from images and put them in the "depth" output dimension.
static class	ExtractImagePatches.Inputs<T extends TType>

Methods in org.tensorflow.op.image with type parameters of type TType

Modifier and Type	Method and Description
static <T extends TType> ExtractImagePatches<T>	ExtractImagePatches.create(Scope scope, Operand<T> images, List<Long> ksizes, List<Long> strides, List<Long> rates, String padding) Factory method to create a class wrapping a new ExtractImagePatches operation.

Uses of TType in org.tensorflow.op.io

Classes in org.tensorflow.op.io with type parameters of type TType

Modifier and Type	Class and Description
class	DecodeRaw<T extends TType> Reinterpret the bytes of a string as a vector of numbers.
class	DeserializeManySparse<T extends TType> Deserialize and concatenate SparseTensors from a serialized minibatch.
class	ParseTensor<T extends TType> Transforms a serialized tensorflow.TensorProto proto into a Tensor.
class	SerializeManySparse<U extends TType> Serialize an N-minibatch SparseTensor into an [N, 3] Tensor object.
class	SerializeSparse<U extends TType> Serialize a SparseTensor into a [3] Tensor object.

Fields in org.tensorflow.op.io with type parameters of type TType

Modifier and Type	Field and Description
Operand<? extends TType>	QueueSize.Inputs.handle The handle to a queue.
Operand<? extends TType>	QueueIsClosed.Inputs.handle The handle to a queue.
Operand<? extends TType>	QueueEnqueueMany.Inputs.handle The handle to a queue.
Operand<? extends TType>	QueueEnqueue.Inputs.handle The handle to a queue.
Operand<? extends TType>	QueueDequeueUpTo.Inputs.handle The handle to a queue.
Operand<? extends TType>	QueueDequeueMany.Inputs.handle The handle to a queue.
Operand<? extends TType>	QueueDequeue.Inputs.handle The handle to a queue.
Operand<? extends TType>	QueueClose.Inputs.handle The handle to a queue.
Operand<? extends TType>	ReaderReadUpTo.Inputs.queueHandle Handle to a Queue, with string work items.
Operand<? extends TType>	ReaderRead.Inputs.queueHandle Handle to a Queue, with string work items.
Operand<? extends TType>	ReaderSerializeState.Inputs.readerHandle Handle to a Reader.
Operand<? extends TType>	ReaderRestoreState.Inputs.readerHandle Handle to a Reader.
Operand<? extends TType>	ReaderReset.Inputs.readerHandle Handle to a Reader.
Operand<? extends TType>	ReaderReadUpTo.Inputs.readerHandle Handle to a Reader.
Operand<? extends TType>	ReaderRead.Inputs.readerHandle Handle to a Reader.
Operand<? extends TType>	ReaderNumWorkUnitsCompleted.Inputs.readerHandle Handle to a Reader.
Operand<? extends TType>	ReaderNumRecordsProduced.Inputs.readerHandle Handle to a Reader.
Operand<? extends TType>	SerializeSparse.Inputs.sparseValues 1-D.
Operand<? extends TType>	SerializeManySparse.Inputs.sparseValues 1-D.
Operand<? extends TType>	SerializeTensor.Inputs.tensor A Tensor of type T.

Methods in org.tensorflow.op.io with type parameters of type TType

Modifier and Type	Method and Description
static <U extends TType> SerializeSparse<U>	SerializeSparse.create(Scope scope, Operand<TInt64> sparseIndices, Operand<? extends TType> sparseValues, Operand<TInt64> sparseShape, Class<U> outType) Factory method to create a class wrapping a new SerializeSparse operation.
static <U extends TType> SerializeManySparse<U>	SerializeManySparse.create(Scope scope, Operand<TInt64> sparseIndices, Operand<? extends TType> sparseValues, Operand<TInt64> sparseShape, Class<U> outType) Factory method to create a class wrapping a new SerializeManySparse operation.
static <T extends TType> ParseTensor<T>	ParseTensor.create(Scope scope, Operand<TString> serialized, Class<T> outType) Factory method to create a class wrapping a new ParseTensor operation.
static <T extends TType> DeserializeManySparse<T>	DeserializeManySparse.create(Scope scope, Operand<TString> serializedSparse, Class<T> dtype) Factory method to create a class wrapping a new DeserializeManySparse operation.
static <T extends TType> DecodeRaw<T>	DecodeRaw.create(Scope scope, Operand<TString> bytes, Class<T> outType, DecodeRaw.Options... options) Factory method to create a class wrapping a new DecodeRaw operation.

Methods in org.tensorflow.op.io that return types with arguments of type TType

Modifier and Type	Method and Description
Output<TType>	WholeFileReader.asOutput()
Output<TType>	TfRecordReader.asOutput()
Output<TType>	TextLineReader.asOutput()
Output<TType>	RandomShuffleQueue.asOutput()
Output<TType>	PriorityQueue.asOutput()
Output<TType>	PaddingFifoQueue.asOutput()
Output<TType>	IdentityReader.asOutput()
Output<TType>	FixedLengthRecordReader.asOutput()
Output<TType>	FifoQueue.asOutput()
Output<? extends TType>	RandomShuffleQueue.handle() Gets handle.
Output<? extends TType>	PriorityQueue.handle() Gets handle.
Output<? extends TType>	PaddingFifoQueue.handle() Gets handle.
Output<? extends TType>	FifoQueue.handle() Gets handle.
Iterator<Operand<TType>>	QueueDequeueUpTo.iterator()
Iterator<Operand<TType>>	QueueDequeueMany.iterator()
Iterator<Operand<TType>>	QueueDequeue.iterator()
Iterator<Operand<TType>>	DecodeCsv.iterator()
Output<? extends TType>	WholeFileReader.readerHandle() Gets readerHandle.
Output<? extends TType>	TfRecordReader.readerHandle() Gets readerHandle.
Output<? extends TType>	TextLineReader.readerHandle() Gets readerHandle.
Output<? extends TType>	IdentityReader.readerHandle() Gets readerHandle.
Output<? extends TType>	FixedLengthRecordReader.readerHandle() Gets readerHandle.

Method parameters in org.tensorflow.op.io with type arguments of type TType

Modifier and Type	Method and Description
static FifoQueue	FifoQueue.create(Scope scope, List<Class<? extends TType>> componentTypes, FifoQueue.Options... options) Factory method to create a class wrapping a new FIFOQueueV2 operation.
static PriorityQueue	PriorityQueue.create(Scope scope, List<Class<? extends TType>> componentTypes, List<org.tensorflow.ndarray.Shape> shapes, PriorityQueue.Options... options) Factory method to create a class wrapping a new PriorityQueueV2 operation.
static PaddingFifoQueue	PaddingFifoQueue.create(Scope scope, List<Class<? extends TType>> componentTypes, PaddingFifoQueue.Options... options) Factory method to create a class wrapping a new PaddingFIFOQueueV2 operation.
static RandomShuffleQueue	RandomShuffleQueue.create(Scope scope, List<Class<? extends TType>> componentTypes, RandomShuffleQueue.Options... options) Factory method to create a class wrapping a new RandomShuffleQueueV2 operation.
static SerializeTensor	SerializeTensor.create(Scope scope, Operand<? extends TType> tensor) Factory method to create a class wrapping a new SerializeTensor operation.
static ReaderSerializeState	ReaderSerializeState.create(Scope scope, Operand<? extends TType> readerHandle) Factory method to create a class wrapping a new ReaderSerializeStateV2 operation.
static ReaderReset	ReaderReset.create(Scope scope, Operand<? extends TType> readerHandle) Factory method to create a class wrapping a new ReaderResetV2 operation.
static ReaderNumWorkUnitsCompleted	ReaderNumWorkUnitsCompleted.create(Scope scope, Operand<? extends TType> readerHandle) Factory method to create a class wrapping a new ReaderNumWorkUnitsCompletedV2 operation.
static ReaderNumRecordsProduced	ReaderNumRecordsProduced.create(Scope scope, Operand<? extends TType> readerHandle) Factory method to create a class wrapping a new ReaderNumRecordsProducedV2 operation.
static QueueSize	QueueSize.create(Scope scope, Operand<? extends TType> handle) Factory method to create a class wrapping a new QueueSizeV2 operation.
static QueueIsClosed	QueueIsClosed.create(Scope scope, Operand<? extends TType> handle) Factory method to create a class wrapping a new QueueIsClosedV2 operation.
static QueueEnqueue	QueueEnqueue.create(Scope scope, Operand<? extends TType> handle, Iterable<Operand<?>> components, QueueEnqueue.Options... options) Factory method to create a class wrapping a new QueueEnqueueV2 operation.
static QueueEnqueueMany	QueueEnqueueMany.create(Scope scope, Operand<? extends TType> handle, Iterable<Operand<?>> components, QueueEnqueueMany.Options... options) Factory method to create a class wrapping a new QueueEnqueueManyV2 operation.
static QueueDequeue	QueueDequeue.create(Scope scope, Operand<? extends TType> handle, List<Class<? extends TType>> componentTypes, QueueDequeue.Options... options) Factory method to create a class wrapping a new QueueDequeueV2 operation.
static QueueDequeue	QueueDequeue.create(Scope scope, Operand<? extends TType> handle, List<Class<? extends TType>> componentTypes, QueueDequeue.Options... options) Factory method to create a class wrapping a new QueueDequeueV2 operation.
static ReaderRead	ReaderRead.create(Scope scope, Operand<? extends TType> readerHandle, Operand<? extends TType> queueHandle) Factory method to create a class wrapping a new ReaderReadV2 operation.
static ReaderRead	ReaderRead.create(Scope scope, Operand<? extends TType> readerHandle, Operand<? extends TType> queueHandle) Factory method to create a class wrapping a new ReaderReadV2 operation.
static ReaderReadUpTo	ReaderReadUpTo.create(Scope scope, Operand<? extends TType> readerHandle, Operand<? extends TType> queueHandle, Operand<TInt64> numRecords) Factory method to create a class wrapping a new ReaderReadUpToV2 operation.
static ReaderReadUpTo	ReaderReadUpTo.create(Scope scope, Operand<? extends TType> readerHandle, Operand<? extends TType> queueHandle, Operand<TInt64> numRecords) Factory method to create a class wrapping a new ReaderReadUpToV2 operation.
static QueueDequeueMany	QueueDequeueMany.create(Scope scope, Operand<? extends TType> handle, Operand<TInt32> n, List<Class<? extends TType>> componentTypes, QueueDequeueMany.Options... options) Factory method to create a class wrapping a new QueueDequeueManyV2 operation.
static QueueDequeueMany	QueueDequeueMany.create(Scope scope, Operand<? extends TType> handle, Operand<TInt32> n, List<Class<? extends TType>> componentTypes, QueueDequeueMany.Options... options) Factory method to create a class wrapping a new QueueDequeueManyV2 operation.
static QueueDequeueUpTo	QueueDequeueUpTo.create(Scope scope, Operand<? extends TType> handle, Operand<TInt32> n, List<Class<? extends TType>> componentTypes, QueueDequeueUpTo.Options... options) Factory method to create a class wrapping a new QueueDequeueUpToV2 operation.
static QueueDequeueUpTo	QueueDequeueUpTo.create(Scope scope, Operand<? extends TType> handle, Operand<TInt32> n, List<Class<? extends TType>> componentTypes, QueueDequeueUpTo.Options... options) Factory method to create a class wrapping a new QueueDequeueUpToV2 operation.
static ReaderRestoreState	ReaderRestoreState.create(Scope scope, Operand<? extends TType> readerHandle, Operand<TString> state) Factory method to create a class wrapping a new ReaderRestoreStateV2 operation.
static QueueClose	QueueClose.create(Scope scope, Operand<? extends TType> handle, QueueClose.Options... options) Factory method to create a class wrapping a new QueueCloseV2 operation.
static SerializeSparse<TString>	SerializeSparse.create(Scope scope, Operand<TInt64> sparseIndices, Operand<? extends TType> sparseValues, Operand<TInt64> sparseShape) Factory method to create a class wrapping a new SerializeSparse operation, with the default output types.
static SerializeManySparse<TString>	SerializeManySparse.create(Scope scope, Operand<TInt64> sparseIndices, Operand<? extends TType> sparseValues, Operand<TInt64> sparseShape) Factory method to create a class wrapping a new SerializeManySparse operation, with the default output types.
static <U extends TType> SerializeSparse<U>	SerializeSparse.create(Scope scope, Operand<TInt64> sparseIndices, Operand<? extends TType> sparseValues, Operand<TInt64> sparseShape, Class<U> outType) Factory method to create a class wrapping a new SerializeSparse operation.
static <U extends TType> SerializeManySparse<U>	SerializeManySparse.create(Scope scope, Operand<TInt64> sparseIndices, Operand<? extends TType> sparseValues, Operand<TInt64> sparseShape, Class<U> outType) Factory method to create a class wrapping a new SerializeManySparse operation.
static ParseSingleExample	ParseSingleExample.create(Scope scope, Operand<TString> serialized, Iterable<Operand<?>> denseDefaults, Long numSparse, List<String> sparseKeys, List<String> denseKeys, List<Class<? extends TType>> sparseTypes, List<org.tensorflow.ndarray.Shape> denseShapes) Factory method to create a class wrapping a new ParseSingleExample operation.
static ParseSingleSequenceExample	ParseSingleSequenceExample.create(Scope scope, Operand<TString> serialized, Operand<TString> featureListDenseMissingAssumedEmpty, Iterable<Operand<TString>> contextSparseKeys, Iterable<Operand<TString>> contextDenseKeys, Iterable<Operand<TString>> featureListSparseKeys, Iterable<Operand<TString>> featureListDenseKeys, Iterable<Operand<?>> contextDenseDefaults, Operand<TString> debugName, List<Class<? extends TType>> contextSparseTypes, List<Class<? extends TType>> featureListDenseTypes, List<Class<? extends TType>> featureListSparseTypes, ParseSingleSequenceExample.Options... options) Factory method to create a class wrapping a new ParseSingleSequenceExample operation.
static ParseSingleSequenceExample	ParseSingleSequenceExample.create(Scope scope, Operand<TString> serialized, Operand<TString> featureListDenseMissingAssumedEmpty, Iterable<Operand<TString>> contextSparseKeys, Iterable<Operand<TString>> contextDenseKeys, Iterable<Operand<TString>> featureListSparseKeys, Iterable<Operand<TString>> featureListDenseKeys, Iterable<Operand<?>> contextDenseDefaults, Operand<TString> debugName, List<Class<? extends TType>> contextSparseTypes, List<Class<? extends TType>> featureListDenseTypes, List<Class<? extends TType>> featureListSparseTypes, ParseSingleSequenceExample.Options... options) Factory method to create a class wrapping a new ParseSingleSequenceExample operation.
static ParseSingleSequenceExample	ParseSingleSequenceExample.create(Scope scope, Operand<TString> serialized, Operand<TString> featureListDenseMissingAssumedEmpty, Iterable<Operand<TString>> contextSparseKeys, Iterable<Operand<TString>> contextDenseKeys, Iterable<Operand<TString>> featureListSparseKeys, Iterable<Operand<TString>> featureListDenseKeys, Iterable<Operand<?>> contextDenseDefaults, Operand<TString> debugName, List<Class<? extends TType>> contextSparseTypes, List<Class<? extends TType>> featureListDenseTypes, List<Class<? extends TType>> featureListSparseTypes, ParseSingleSequenceExample.Options... options) Factory method to create a class wrapping a new ParseSingleSequenceExample operation.
static ParseExample	ParseExample.create(Scope scope, Operand<TString> serialized, Operand<TString> names, Operand<TString> sparseKeys, Operand<TString> denseKeys, Operand<TString> raggedKeys, Iterable<Operand<?>> denseDefaults, Long numSparse, List<Class<? extends TType>> sparseTypes, List<Class<? extends TType>> raggedValueTypes, List<Class<? extends TNumber>> raggedSplitTypes, List<org.tensorflow.ndarray.Shape> denseShapes) Factory method to create a class wrapping a new ParseExampleV2 operation.
static ParseExample	ParseExample.create(Scope scope, Operand<TString> serialized, Operand<TString> names, Operand<TString> sparseKeys, Operand<TString> denseKeys, Operand<TString> raggedKeys, Iterable<Operand<?>> denseDefaults, Long numSparse, List<Class<? extends TType>> sparseTypes, List<Class<? extends TType>> raggedValueTypes, List<Class<? extends TNumber>> raggedSplitTypes, List<org.tensorflow.ndarray.Shape> denseShapes) Factory method to create a class wrapping a new ParseExampleV2 operation.
static ParseSequenceExample	ParseSequenceExample.create(Scope scope, Operand<TString> serialized, Operand<TString> debugName, Operand<TString> contextSparseKeys, Operand<TString> contextDenseKeys, Operand<TString> contextRaggedKeys, Operand<TString> featureListSparseKeys, Operand<TString> featureListDenseKeys, Operand<TString> featureListRaggedKeys, Operand<TBool> featureListDenseMissingAssumedEmpty, Iterable<Operand<?>> contextDenseDefaults, List<Class<? extends TType>> contextSparseTypes, List<Class<? extends TType>> contextRaggedValueTypes, List<Class<? extends TNumber>> contextRaggedSplitTypes, List<Class<? extends TType>> featureListDenseTypes, List<Class<? extends TType>> featureListSparseTypes, List<Class<? extends TType>> featureListRaggedValueTypes, List<Class<? extends TNumber>> featureListRaggedSplitTypes, ParseSequenceExample.Options... options) Factory method to create a class wrapping a new ParseSequenceExampleV2 operation.
static ParseSequenceExample	ParseSequenceExample.create(Scope scope, Operand<TString> serialized, Operand<TString> debugName, Operand<TString> contextSparseKeys, Operand<TString> contextDenseKeys, Operand<TString> contextRaggedKeys, Operand<TString> featureListSparseKeys, Operand<TString> featureListDenseKeys, Operand<TString> featureListRaggedKeys, Operand<TBool> featureListDenseMissingAssumedEmpty, Iterable<Operand<?>> contextDenseDefaults, List<Class<? extends TType>> contextSparseTypes, List<Class<? extends TType>> contextRaggedValueTypes, List<Class<? extends TNumber>> contextRaggedSplitTypes, List<Class<? extends TType>> featureListDenseTypes, List<Class<? extends TType>> featureListSparseTypes, List<Class<? extends TType>> featureListRaggedValueTypes, List<Class<? extends TNumber>> featureListRaggedSplitTypes, ParseSequenceExample.Options... options) Factory method to create a class wrapping a new ParseSequenceExampleV2 operation.
static ParseSequenceExample	ParseSequenceExample.create(Scope scope, Operand<TString> serialized, Operand<TString> debugName, Operand<TString> contextSparseKeys, Operand<TString> contextDenseKeys, Operand<TString> contextRaggedKeys, Operand<TString> featureListSparseKeys, Operand<TString> featureListDenseKeys, Operand<TString> featureListRaggedKeys, Operand<TBool> featureListDenseMissingAssumedEmpty, Iterable<Operand<?>> contextDenseDefaults, List<Class<? extends TType>> contextSparseTypes, List<Class<? extends TType>> contextRaggedValueTypes, List<Class<? extends TNumber>> contextRaggedSplitTypes, List<Class<? extends TType>> featureListDenseTypes, List<Class<? extends TType>> featureListSparseTypes, List<Class<? extends TType>> featureListRaggedValueTypes, List<Class<? extends TNumber>> featureListRaggedSplitTypes, ParseSequenceExample.Options... options) Factory method to create a class wrapping a new ParseSequenceExampleV2 operation.
static ParseSequenceExample	ParseSequenceExample.create(Scope scope, Operand<TString> serialized, Operand<TString> debugName, Operand<TString> contextSparseKeys, Operand<TString> contextDenseKeys, Operand<TString> contextRaggedKeys, Operand<TString> featureListSparseKeys, Operand<TString> featureListDenseKeys, Operand<TString> featureListRaggedKeys, Operand<TBool> featureListDenseMissingAssumedEmpty, Iterable<Operand<?>> contextDenseDefaults, List<Class<? extends TType>> contextSparseTypes, List<Class<? extends TType>> contextRaggedValueTypes, List<Class<? extends TNumber>> contextRaggedSplitTypes, List<Class<? extends TType>> featureListDenseTypes, List<Class<? extends TType>> featureListSparseTypes, List<Class<? extends TType>> featureListRaggedValueTypes, List<Class<? extends TNumber>> featureListRaggedSplitTypes, ParseSequenceExample.Options... options) Factory method to create a class wrapping a new ParseSequenceExampleV2 operation.
static ParseSequenceExample	ParseSequenceExample.create(Scope scope, Operand<TString> serialized, Operand<TString> debugName, Operand<TString> contextSparseKeys, Operand<TString> contextDenseKeys, Operand<TString> contextRaggedKeys, Operand<TString> featureListSparseKeys, Operand<TString> featureListDenseKeys, Operand<TString> featureListRaggedKeys, Operand<TBool> featureListDenseMissingAssumedEmpty, Iterable<Operand<?>> contextDenseDefaults, List<Class<? extends TType>> contextSparseTypes, List<Class<? extends TType>> contextRaggedValueTypes, List<Class<? extends TNumber>> contextRaggedSplitTypes, List<Class<? extends TType>> featureListDenseTypes, List<Class<? extends TType>> featureListSparseTypes, List<Class<? extends TType>> featureListRaggedValueTypes, List<Class<? extends TNumber>> featureListRaggedSplitTypes, ParseSequenceExample.Options... options) Factory method to create a class wrapping a new ParseSequenceExampleV2 operation.

Uses of TType in org.tensorflow.op.linalg

Classes in org.tensorflow.op.linalg with type parameters of type TType

Modifier and Type	Class and Description
class	BandedTriangularSolve<T extends TType> The BandedTriangularSolve operation
static class	BandedTriangularSolve.Inputs<T extends TType>
class	BandPart<T extends TType> Copy a tensor setting everything outside a central band in each innermost matrix to zero.
static class	BandPart.Inputs<T extends TType,U extends TNumber>
class	BatchMatrixBandPart<T extends TType> The BatchMatrixBandPart operation
static class	BatchMatrixBandPart.Inputs<T extends TType>
class	BatchMatrixDeterminant<T extends TType> The BatchMatrixDeterminant operation
static class	BatchMatrixDeterminant.Inputs<T extends TType>
class	BatchMatrixDiag<T extends TType> The BatchMatrixDiag operation
static class	BatchMatrixDiag.Inputs<T extends TType>
class	BatchMatrixDiagPart<T extends TType> The BatchMatrixDiagPart operation
static class	BatchMatrixDiagPart.Inputs<T extends TType>
class	BatchMatrixSetDiag<T extends TType> The BatchMatrixSetDiag operation
static class	BatchMatrixSetDiag.Inputs<T extends TType>
class	BatchSvd<T extends TType> The BatchSvd operation
static class	BatchSvd.Inputs<T extends TType>
class	Cholesky<T extends TType> Computes the Cholesky decomposition of one or more square matrices.
static class	Cholesky.Inputs<T extends TType>
class	ConjugateTranspose<T extends TType> Shuffle dimensions of x according to a permutation and conjugate the result.
static class	ConjugateTranspose.Inputs<T extends TType>
class	Det<T extends TType> Computes the determinant of one or more square matrices.
static class	Det.Inputs<T extends TType>
class	Eig<U extends TType> Computes the eigen decomposition of one or more square matrices.
class	Einsum<T extends TType> Tensor contraction according to Einstein summation convention.
static class	Einsum.Inputs<T extends TType>
class	EuclideanNorm<T extends TType> Computes the euclidean norm of elements across dimensions of a tensor.
static class	EuclideanNorm.Inputs<T extends TType>
class	Inv<T extends TType> Computes the inverse of one or more square invertible matrices or their adjoints (conjugate transposes).
static class	Inv.Inputs<T extends TType>
class	LogMatrixDeterminant<T extends TType> Computes the sign and the log of the absolute value of the determinant of one or more square matrices.
static class	LogMatrixDeterminant.Inputs<T extends TType>
class	Lu<T extends TType,U extends TNumber> Computes the LU decomposition of one or more square matrices.
static class	Lu.Inputs<T extends TType>
class	MatMul<T extends TType> Multiply the matrix "a" by the matrix "b".
static class	MatMul.Inputs<T extends TType>
class	MatrixDiag<T extends TType> Returns a batched diagonal tensor with given batched diagonal values.
static class	MatrixDiag.Inputs<T extends TType>
class	MatrixDiagPart<T extends TType> Returns the batched diagonal part of a batched tensor.
static class	MatrixDiagPart.Inputs<T extends TType>
class	MatrixDiagPartV3<T extends TType> Returns the batched diagonal part of a batched tensor.
static class	MatrixDiagPartV3.Inputs<T extends TType>
class	MatrixDiagV3<T extends TType> Returns a batched diagonal tensor with given batched diagonal values.
static class	MatrixDiagV3.Inputs<T extends TType>
class	MatrixLogarithm<T extends TType> Computes the matrix logarithm of one or more square matrices: \(log(exp(A)) = A\)
static class	MatrixLogarithm.Inputs<T extends TType>
class	MatrixSetDiag<T extends TType> Returns a batched matrix tensor with new batched diagonal values.
static class	MatrixSetDiag.Inputs<T extends TType>
class	MatrixSolveLs<T extends TType> Solves one or more linear least-squares problems.
static class	MatrixSolveLs.Inputs<T extends TType>
class	Qr<T extends TType> Computes the QR decompositions of one or more matrices.
static class	Qr.Inputs<T extends TType>
class	SelfAdjointEig<T extends TType> Computes the eigen decomposition of one or more square self-adjoint matrices.
static class	SelfAdjointEig.Inputs<T extends TType>
class	Solve<T extends TType> Solves systems of linear equations.
static class	Solve.Inputs<T extends TType>
class	Sqrtm<T extends TType> Computes the matrix square root of one or more square matrices: matmul(sqrtm(A), sqrtm(A)) = A
static class	Sqrtm.Inputs<T extends TType>
class	Svd<T extends TType> Computes the singular value decompositions of one or more matrices.
static class	Svd.Inputs<T extends TType>
class	TensorDiag<T extends TType> Returns a diagonal tensor with a given diagonal values.
static class	TensorDiag.Inputs<T extends TType>
class	TensorDiagPart<T extends TType> Returns the diagonal part of the tensor.
static class	TensorDiagPart.Inputs<T extends TType>
class	Transpose<T extends TType> Shuffle dimensions of x according to a permutation.
static class	Transpose.Inputs<T extends TType>
class	TriangularSolve<T extends TType> Solves systems of linear equations with upper or lower triangular matrices by backsubstitution.
static class	TriangularSolve.Inputs<T extends TType>
class	TridiagonalMatMul<T extends TType> Calculate product with tridiagonal matrix.
static class	TridiagonalMatMul.Inputs<T extends TType>
class	TridiagonalSolve<T extends TType> Solves tridiagonal systems of equations.
static class	TridiagonalSolve.Inputs<T extends TType>

Fields in org.tensorflow.op.linalg with type parameters of type TType

Modifier and Type	Field and Description
Operand<? extends TType>	Eig.Inputs.input Tensor input of shape [N, N].

Methods in org.tensorflow.op.linalg with type parameters of type TType

Modifier and Type	Method and Description
static <T extends TType> Einsum<T>	Einsum.create(Scope scope, Iterable<Operand<T>> inputs, String equation) Factory method to create a class wrapping a new Einsum operation.
static <U extends TType> Eig<U>	Eig.create(Scope scope, Operand<? extends TType> input, Class<U> Tout, Eig.Options... options) Factory method to create a class wrapping a new Eig operation.
static <T extends TType> TensorDiagPart<T>	TensorDiagPart.create(Scope scope, Operand<T> input) Factory method to create a class wrapping a new DiagPart operation.
static <T extends TType> TensorDiag<T>	TensorDiag.create(Scope scope, Operand<T> diagonal) Factory method to create a class wrapping a new Diag operation.
static <T extends TType> Sqrtm<T>	Sqrtm.create(Scope scope, Operand<T> input) Factory method to create a class wrapping a new MatrixSquareRoot operation.
static <T extends TType> MatrixLogarithm<T>	MatrixLogarithm.create(Scope scope, Operand<T> input) Factory method to create a class wrapping a new MatrixLogarithm operation.
static <T extends TType> Lu<T,TInt32>	Lu.create(Scope scope, Operand<T> input) Factory method to create a class wrapping a new Lu operation, with the default output types.
static <T extends TType> LogMatrixDeterminant<T>	LogMatrixDeterminant.create(Scope scope, Operand<T> input) Factory method to create a class wrapping a new LogMatrixDeterminant operation.
static <T extends TType> Det<T>	Det.create(Scope scope, Operand<T> input) Factory method to create a class wrapping a new MatrixDeterminant operation.
static <T extends TType> Cholesky<T>	Cholesky.create(Scope scope, Operand<T> input) Factory method to create a class wrapping a new Cholesky operation.
static <T extends TType> BatchMatrixDiagPart<T>	BatchMatrixDiagPart.create(Scope scope, Operand<T> input) Factory method to create a class wrapping a new BatchMatrixDiagPart operation.
static <T extends TType> BatchMatrixDiag<T>	BatchMatrixDiag.create(Scope scope, Operand<T> diagonal) Factory method to create a class wrapping a new BatchMatrixDiag operation.
static <T extends TType> BatchMatrixDeterminant<T>	BatchMatrixDeterminant.create(Scope scope, Operand<T> input) Factory method to create a class wrapping a new BatchMatrixDeterminant operation.
static <T extends TType> BatchSvd<T>	BatchSvd.create(Scope scope, Operand<T> input, BatchSvd.Options... options) Factory method to create a class wrapping a new BatchSvd operation.
static <T extends TType,U extends TNumber> Lu<T,U>	Lu.create(Scope scope, Operand<T> input, Class<U> outputIdxType) Factory method to create a class wrapping a new Lu operation.
static <T extends TType> Inv<T>	Inv.create(Scope scope, Operand<T> input, Inv.Options... options) Factory method to create a class wrapping a new MatrixInverse operation.
static <T extends TType> Transpose<T>	Transpose.create(Scope scope, Operand<T> x, Operand<? extends TNumber> perm) Factory method to create a class wrapping a new Transpose operation.
static <T extends TType> ConjugateTranspose<T>	ConjugateTranspose.create(Scope scope, Operand<T> x, Operand<? extends TNumber> perm) Factory method to create a class wrapping a new ConjugateTranspose operation.
static <T extends TType> EuclideanNorm<T>	EuclideanNorm.create(Scope scope, Operand<T> input, Operand<? extends TNumber> axis, EuclideanNorm.Options... options) Factory method to create a class wrapping a new EuclideanNorm operation.
static <T extends TType> BatchMatrixSetDiag<T>	BatchMatrixSetDiag.create(Scope scope, Operand<T> input, Operand<T> diagonal) Factory method to create a class wrapping a new BatchMatrixSetDiag operation.
static <T extends TType> BandedTriangularSolve<T>	BandedTriangularSolve.create(Scope scope, Operand<T> matrix, Operand<T> rhs, BandedTriangularSolve.Options... options) Factory method to create a class wrapping a new BandedTriangularSolve operation.
static <T extends TType> MatMul<T>	MatMul.create(Scope scope, Operand<T> a, Operand<T> b, MatMul.Options... options) Factory method to create a class wrapping a new MatMul operation.
static <T extends TType> TridiagonalMatMul<T>	TridiagonalMatMul.create(Scope scope, Operand<T> superdiag, Operand<T> maindiag, Operand<T> subdiag, Operand<T> rhs) Factory method to create a class wrapping a new TridiagonalMatMul operation.
static <T extends TType> MatrixSolveLs<T>	MatrixSolveLs.create(Scope scope, Operand<T> matrix, Operand<T> rhs, Operand<TFloat64> l2Regularizer, MatrixSolveLs.Options... options) Factory method to create a class wrapping a new MatrixSolveLs operation.
static <T extends TType> MatrixSetDiag<T>	MatrixSetDiag.create(Scope scope, Operand<T> input, Operand<T> diagonal, Operand<TInt32> k, MatrixSetDiag.Options... options) Factory method to create a class wrapping a new MatrixSetDiagV3 operation.
static <T extends TType> Solve<T>	Solve.create(Scope scope, Operand<T> matrix, Operand<T> rhs, Solve.Options... options) Factory method to create a class wrapping a new MatrixSolve operation.
static <T extends TType> TriangularSolve<T>	TriangularSolve.create(Scope scope, Operand<T> matrix, Operand<T> rhs, TriangularSolve.Options... options) Factory method to create a class wrapping a new MatrixTriangularSolve operation.
static <T extends TType> TridiagonalSolve<T>	TridiagonalSolve.create(Scope scope, Operand<T> diagonals, Operand<T> rhs, TridiagonalSolve.Options... options) Factory method to create a class wrapping a new TridiagonalSolve operation.
static <T extends TType> MatrixDiagPart<T>	MatrixDiagPart.create(Scope scope, Operand<T> input, Operand<TInt32> k, Operand<T> paddingValue) Factory method to create a class wrapping a new MatrixDiagPartV2 operation.
static <T extends TType> MatrixDiagPartV3<T>	MatrixDiagPartV3.create(Scope scope, Operand<T> input, Operand<TInt32> k, Operand<T> paddingValue, MatrixDiagPartV3.Options... options) Factory method to create a class wrapping a new MatrixDiagPartV3 operation.
static <T extends TType> MatrixDiag<T>	MatrixDiag.create(Scope scope, Operand<T> diagonal, Operand<TInt32> k, Operand<TInt32> numRows, Operand<TInt32> numCols, Operand<T> paddingValue) Factory method to create a class wrapping a new MatrixDiagV2 operation.
static <T extends TType> MatrixDiagV3<T>	MatrixDiagV3.create(Scope scope, Operand<T> diagonal, Operand<TInt32> k, Operand<TInt32> numRows, Operand<TInt32> numCols, Operand<T> paddingValue, MatrixDiagV3.Options... options) Factory method to create a class wrapping a new MatrixDiagV3 operation.
static <T extends TType> BatchMatrixBandPart<T>	BatchMatrixBandPart.create(Scope scope, Operand<T> input, Operand<TInt64> numLower, Operand<TInt64> numUpper) Factory method to create a class wrapping a new BatchMatrixBandPart operation.
static <T extends TType,U extends TNumber> BandPart<T>	BandPart.create(Scope scope, Operand<T> input, Operand<U> numLower, Operand<U> numUpper) Factory method to create a class wrapping a new MatrixBandPart operation.
static <T extends TType> Qr<T>	Qr.create(Scope scope, Operand<T> input, Qr.Options... options) Factory method to create a class wrapping a new Qr operation.
static <T extends TType> SelfAdjointEig<T>	SelfAdjointEig.create(Scope scope, Operand<T> input, SelfAdjointEig.Options... options) Factory method to create a class wrapping a new SelfAdjointEigV2 operation.
static <T extends TType> Svd<T>	Svd.create(Scope scope, Operand<T> input, Svd.Options... options) Factory method to create a class wrapping a new Svd operation.

Method parameters in org.tensorflow.op.linalg with type arguments of type TType

Modifier and Type	Method and Description
static <U extends TType> Eig<U>	Eig.create(Scope scope, Operand<? extends TType> input, Class<U> Tout, Eig.Options... options) Factory method to create a class wrapping a new Eig operation.

Uses of TType in org.tensorflow.op.linalg.sparse

Classes in org.tensorflow.op.linalg.sparse with type parameters of type TType

Modifier and Type	Class and Description
class	CSRSparseMatrixComponents<T extends TType> Reads out the CSR components at batch index.
class	CSRSparseMatrixToDense<T extends TType> Convert a (possibly batched) CSRSparseMatrix to dense.
class	CSRSparseMatrixToSparseTensor<T extends TType> Converts a (possibly batched) CSRSparesMatrix to a SparseTensor.
static class	SparseMatrixAdd.Inputs<T extends TType>
class	SparseMatrixMatMul<T extends TType> Matrix-multiplies a sparse matrix with a dense matrix.
static class	SparseMatrixMatMul.Inputs<T extends TType>

Fields in org.tensorflow.op.linalg.sparse with type parameters of type TType

Modifier and Type	Field and Description
Operand<? extends TType>	SparseMatrixSparseMatMul.Inputs.a A CSRSparseMatrix.
Operand<? extends TType>	SparseMatrixMul.Inputs.a A CSRSparseMatrix.
Operand<? extends TType>	SparseMatrixMatMul.Inputs.a A CSRSparseMatrix.
Operand<? extends TType>	SparseMatrixAdd.Inputs.a A CSRSparseMatrix.
Operand<? extends TType>	SparseMatrixSparseMatMul.Inputs.b A CSRSparseMatrix.
Operand<? extends TType>	SparseMatrixMul.Inputs.b A dense tensor.
Operand<? extends TType>	SparseMatrixAdd.Inputs.b A CSRSparseMatrix.
Operand<? extends TType>	CSRSparseMatrixComponents.Inputs.csrSparseMatrix A batched CSRSparseMatrix.
Operand<? extends TType>	DenseToCSRSparseMatrix.Inputs.denseInput A Dense tensor.
Operand<? extends TType>	SparseMatrixSoftmaxGrad.Inputs.gradSoftmax The gradient of softmax.
Operand<? extends TType>	SparseMatrixTranspose.Inputs.input A CSRSparseMatrix.
Operand<? extends TType>	SparseMatrixSparseCholesky.Inputs.input A CSRSparseMatrix.
Operand<? extends TType>	SparseMatrixOrderingAMD.Inputs.input A CSRSparseMatrix.
Operand<? extends TType>	SparseMatrixSoftmax.Inputs.logits A CSRSparseMatrix.
Operand<? extends TType>	SparseMatrixSoftmaxGrad.Inputs.softmax A CSRSparseMatrix.
Operand<? extends TType>	CSRSparseMatrixToDense.Inputs.sparseInput A batched CSRSparseMatrix.
Operand<? extends TType>	SparseMatrixNNZ.Inputs.sparseMatrix A CSRSparseMatrix.
Operand<? extends TType>	CSRSparseMatrixToSparseTensor.Inputs.sparseMatrix A (possibly batched) CSRSparseMatrix.
Operand<? extends TType>	SparseTensorToCSRSparseMatrix.Inputs.values SparseTensor values.

Methods in org.tensorflow.op.linalg.sparse with type parameters of type TType

Modifier and Type	Method and Description
static <T extends TType> CSRSparseMatrixToSparseTensor<T>	CSRSparseMatrixToSparseTensor.create(Scope scope, Operand<? extends TType> sparseMatrix, Class<T> type) Factory method to create a class wrapping a new CSRSparseMatrixToSparseTensor operation.
static <T extends TType> CSRSparseMatrixToDense<T>	CSRSparseMatrixToDense.create(Scope scope, Operand<? extends TType> sparseInput, Class<T> type) Factory method to create a class wrapping a new CSRSparseMatrixToDense operation.
static <T extends TType> SparseMatrixTranspose	SparseMatrixTranspose.create(Scope scope, Operand<? extends TType> input, Class<T> type, SparseMatrixTranspose.Options... options) Factory method to create a class wrapping a new SparseMatrixTranspose operation.
static <T extends TType> SparseMatrixSparseMatMul	SparseMatrixSparseMatMul.create(Scope scope, Operand<? extends TType> a, Operand<? extends TType> b, Class<T> type, SparseMatrixSparseMatMul.Options... options) Factory method to create a class wrapping a new SparseMatrixSparseMatMul operation.
static <T extends TType> SparseMatrixAdd	SparseMatrixAdd.create(Scope scope, Operand<? extends TType> a, Operand<? extends TType> b, Operand<T> alpha, Operand<T> beta) Factory method to create a class wrapping a new SparseMatrixAdd operation.
static <T extends TType> SparseMatrixMatMul<T>	SparseMatrixMatMul.create(Scope scope, Operand<? extends TType> a, Operand<T> b, SparseMatrixMatMul.Options... options) Factory method to create a class wrapping a new SparseMatrixMatMul operation.
static <T extends TType> SparseMatrixSparseCholesky	SparseMatrixSparseCholesky.create(Scope scope, Operand<? extends TType> input, Operand<TInt32> permutation, Class<T> type) Factory method to create a class wrapping a new SparseMatrixSparseCholesky operation.
static <T extends TType> CSRSparseMatrixComponents<T>	CSRSparseMatrixComponents.create(Scope scope, Operand<? extends TType> csrSparseMatrix, Operand<TInt32> index, Class<T> type) Factory method to create a class wrapping a new CSRSparseMatrixComponents operation.
static <T extends TType> SparseMatrixZeros	SparseMatrixZeros.create(Scope scope, Operand<TInt64> denseShape, Class<T> type) Factory method to create a class wrapping a new SparseMatrixZeros operation.

Methods in org.tensorflow.op.linalg.sparse that return types with arguments of type TType

Modifier and Type	Method and Description
Output<TType>	SparseTensorToCSRSparseMatrix.asOutput()
Output<TType>	SparseMatrixZeros.asOutput()
Output<TType>	SparseMatrixTranspose.asOutput()
Output<TType>	SparseMatrixSparseMatMul.asOutput()
Output<TType>	SparseMatrixSparseCholesky.asOutput()
Output<TType>	SparseMatrixSoftmaxGrad.asOutput()
Output<TType>	SparseMatrixSoftmax.asOutput()
Output<TType>	SparseMatrixMul.asOutput()
Output<TType>	SparseMatrixAdd.asOutput()
Output<TType>	DenseToCSRSparseMatrix.asOutput()
Output<? extends TType>	SparseMatrixSparseMatMul.c() Gets c.
Output<? extends TType>	SparseMatrixAdd.c() Gets c.
Output<? extends TType>	SparseMatrixSoftmaxGrad.gradient() Gets gradient.
Output<? extends TType>	SparseMatrixTranspose.output() Gets output.
Output<? extends TType>	SparseMatrixSparseCholesky.output() Gets output.
Output<? extends TType>	SparseMatrixMul.output() Gets output.
Output<? extends TType>	SparseMatrixSoftmax.softmax() Gets softmax.
Output<? extends TType>	SparseTensorToCSRSparseMatrix.sparseMatrix() Gets sparseMatrix.
Output<? extends TType>	SparseMatrixZeros.sparseMatrix() Gets sparseMatrix.
Output<? extends TType>	DenseToCSRSparseMatrix.sparseOutput() Gets sparseOutput.

Method parameters in org.tensorflow.op.linalg.sparse with type arguments of type TType

Modifier and Type	Method and Description
static SparseMatrixOrderingAMD	SparseMatrixOrderingAMD.create(Scope scope, Operand<? extends TType> input) Factory method to create a class wrapping a new SparseMatrixOrderingAMD operation.
static SparseMatrixNNZ	SparseMatrixNNZ.create(Scope scope, Operand<? extends TType> sparseMatrix) Factory method to create a class wrapping a new SparseMatrixNNZ operation.
static <T extends TNumber> SparseMatrixSoftmax	SparseMatrixSoftmax.create(Scope scope, Operand<? extends TType> logits, Class<T> type) Factory method to create a class wrapping a new SparseMatrixSoftmax operation.
static <T extends TType> CSRSparseMatrixToSparseTensor<T>	CSRSparseMatrixToSparseTensor.create(Scope scope, Operand<? extends TType> sparseMatrix, Class<T> type) Factory method to create a class wrapping a new CSRSparseMatrixToSparseTensor operation.
static <T extends TType> CSRSparseMatrixToDense<T>	CSRSparseMatrixToDense.create(Scope scope, Operand<? extends TType> sparseInput, Class<T> type) Factory method to create a class wrapping a new CSRSparseMatrixToDense operation.
static <T extends TType> SparseMatrixTranspose	SparseMatrixTranspose.create(Scope scope, Operand<? extends TType> input, Class<T> type, SparseMatrixTranspose.Options... options) Factory method to create a class wrapping a new SparseMatrixTranspose operation.
static SparseMatrixMul	SparseMatrixMul.create(Scope scope, Operand<? extends TType> a, Operand<? extends TType> b) Factory method to create a class wrapping a new SparseMatrixMul operation.
static SparseMatrixMul	SparseMatrixMul.create(Scope scope, Operand<? extends TType> a, Operand<? extends TType> b) Factory method to create a class wrapping a new SparseMatrixMul operation.
static <T extends TNumber> SparseMatrixSoftmaxGrad	SparseMatrixSoftmaxGrad.create(Scope scope, Operand<? extends TType> softmax, Operand<? extends TType> gradSoftmax, Class<T> type) Factory method to create a class wrapping a new SparseMatrixSoftmaxGrad operation.
static <T extends TNumber> SparseMatrixSoftmaxGrad	SparseMatrixSoftmaxGrad.create(Scope scope, Operand<? extends TType> softmax, Operand<? extends TType> gradSoftmax, Class<T> type) Factory method to create a class wrapping a new SparseMatrixSoftmaxGrad operation.
static <T extends TType> SparseMatrixSparseMatMul	SparseMatrixSparseMatMul.create(Scope scope, Operand<? extends TType> a, Operand<? extends TType> b, Class<T> type, SparseMatrixSparseMatMul.Options... options) Factory method to create a class wrapping a new SparseMatrixSparseMatMul operation.
static <T extends TType> SparseMatrixSparseMatMul	SparseMatrixSparseMatMul.create(Scope scope, Operand<? extends TType> a, Operand<? extends TType> b, Class<T> type, SparseMatrixSparseMatMul.Options... options) Factory method to create a class wrapping a new SparseMatrixSparseMatMul operation.
static <T extends TType> SparseMatrixAdd	SparseMatrixAdd.create(Scope scope, Operand<? extends TType> a, Operand<? extends TType> b, Operand<T> alpha, Operand<T> beta) Factory method to create a class wrapping a new SparseMatrixAdd operation.
static <T extends TType> SparseMatrixAdd	SparseMatrixAdd.create(Scope scope, Operand<? extends TType> a, Operand<? extends TType> b, Operand<T> alpha, Operand<T> beta) Factory method to create a class wrapping a new SparseMatrixAdd operation.
static <T extends TType> SparseMatrixMatMul<T>	SparseMatrixMatMul.create(Scope scope, Operand<? extends TType> a, Operand<T> b, SparseMatrixMatMul.Options... options) Factory method to create a class wrapping a new SparseMatrixMatMul operation.
static <T extends TType> SparseMatrixSparseCholesky	SparseMatrixSparseCholesky.create(Scope scope, Operand<? extends TType> input, Operand<TInt32> permutation, Class<T> type) Factory method to create a class wrapping a new SparseMatrixSparseCholesky operation.
static <T extends TType> CSRSparseMatrixComponents<T>	CSRSparseMatrixComponents.create(Scope scope, Operand<? extends TType> csrSparseMatrix, Operand<TInt32> index, Class<T> type) Factory method to create a class wrapping a new CSRSparseMatrixComponents operation.
static DenseToCSRSparseMatrix	DenseToCSRSparseMatrix.create(Scope scope, Operand<? extends TType> denseInput, Operand<TInt64> indices) Factory method to create a class wrapping a new DenseToCSRSparseMatrix operation.
static SparseTensorToCSRSparseMatrix	SparseTensorToCSRSparseMatrix.create(Scope scope, Operand<TInt64> indices, Operand<? extends TType> values, Operand<TInt64> denseShape) Factory method to create a class wrapping a new SparseTensorToCSRSparseMatrix operation.

Uses of TType in org.tensorflow.op.math

Classes in org.tensorflow.op.math with type parameters of type TType

Modifier and Type	Class and Description
class	AccumulateN<T extends TType> Returns the element-wise sum of a list of tensors.
static class	AccumulateN.Inputs<T extends TType>
class	Acos<T extends TType> Computes acos of x element-wise.
static class	Acos.Inputs<T extends TType>
class	Acosh<T extends TType> Computes inverse hyperbolic cosine of x element-wise.
static class	Acosh.Inputs<T extends TType>
class	Add<T extends TType> Returns x + y element-wise.
static class	Add.Inputs<T extends TType>
class	AddN<T extends TType> Add all input tensors element wise.
static class	AddN.Inputs<T extends TType>
static class	ApproximateEqual.Inputs<T extends TType>
class	Asin<T extends TType> Computes the trignometric inverse sine of x element-wise.
static class	Asin.Inputs<T extends TType>
class	Asinh<T extends TType> Computes inverse hyperbolic sine of x element-wise.
static class	Asinh.Inputs<T extends TType>
class	Atan<T extends TType> Computes the trignometric inverse tangent of x element-wise.
static class	Atan.Inputs<T extends TType>
class	Atanh<T extends TType> Computes inverse hyperbolic tangent of x element-wise.
static class	Atanh.Inputs<T extends TType>
class	Conj<T extends TType> Returns the complex conjugate of a complex number.
static class	Conj.Inputs<T extends TType>
class	Cos<T extends TType> Computes cos of x element-wise.
static class	Cos.Inputs<T extends TType>
class	Cosh<T extends TType> Computes hyperbolic cosine of x element-wise.
static class	Cosh.Inputs<T extends TType>
class	Cumprod<T extends TType> Compute the cumulative product of the tensor x along axis.
static class	Cumprod.Inputs<T extends TType>
class	Cumsum<T extends TType> Compute the cumulative sum of the tensor x along axis.
static class	Cumsum.Inputs<T extends TType>
class	Div<T extends TType> Returns x / y element-wise.
static class	Div.Inputs<T extends TType>
class	DivNoNan<T extends TType> Returns 0 if the denominator is zero.
static class	DivNoNan.Inputs<T extends TType>
static class	Equal.Inputs<T extends TType>
class	Exp<T extends TType> Computes exponential of x element-wise.
static class	Exp.Inputs<T extends TType>
class	Expm1<T extends TType> Computes exp(x) - 1 element-wise.
static class	Expm1.Inputs<T extends TType>
class	FloorDiv<T extends TType> Returns x // y element-wise.
static class	FloorDiv.Inputs<T extends TType>
class	Log<T extends TType> Computes natural logarithm of x element-wise.
static class	Log.Inputs<T extends TType>
class	Log1p<T extends TType> Computes natural logarithm of (1 + x) element-wise.
static class	Log1p.Inputs<T extends TType>
class	Mean<T extends TType> Computes the mean of elements across dimensions of a tensor.
static class	Mean.Inputs<T extends TType>
class	Mul<T extends TType> Returns x * y element-wise.
static class	Mul.Inputs<T extends TType>
class	MulNoNan<T extends TType> Returns x * y element-wise.
static class	MulNoNan.Inputs<T extends TType>
class	Neg<T extends TType> Computes numerical negative value element-wise.
static class	Neg.Inputs<T extends TType>
static class	NotEqual.Inputs<T extends TType>
class	Pow<T extends TType> Computes the power of one value to another.
static class	Pow.Inputs<T extends TType>
class	RealDiv<T extends TType> Returns x / y element-wise for real types.
static class	RealDiv.Inputs<T extends TType>
class	Reciprocal<T extends TType> Computes the reciprocal of x element-wise.
static class	Reciprocal.Inputs<T extends TType>
class	ReciprocalGrad<T extends TType> Computes the gradient for the inverse of x wrt its input.
static class	ReciprocalGrad.Inputs<T extends TType>
class	Round<T extends TType> Rounds the values of a tensor to the nearest integer, element-wise.
static class	Round.Inputs<T extends TType>
class	Rsqrt<T extends TType> Computes reciprocal of square root of x element-wise.
static class	Rsqrt.Inputs<T extends TType>
class	RsqrtGrad<T extends TType> Computes the gradient for the rsqrt of x wrt its input.
static class	RsqrtGrad.Inputs<T extends TType>
class	SegmentMean<T extends TType> Computes the mean along segments of a tensor.
static class	SegmentMean.Inputs<T extends TType>
class	SegmentProd<T extends TType> Computes the product along segments of a tensor.
static class	SegmentProd.Inputs<T extends TType>
class	SegmentSum<T extends TType> Computes the sum along segments of a tensor.
static class	SegmentSum.Inputs<T extends TType>
class	Sigmoid<T extends TType> Computes sigmoid of x element-wise.
static class	Sigmoid.Inputs<T extends TType>
class	SigmoidGrad<T extends TType> Computes the gradient of the sigmoid of x wrt its input.
static class	SigmoidGrad.Inputs<T extends TType>
class	Sign<T extends TType> Returns an element-wise indication of the sign of a number.
static class	Sign.Inputs<T extends TType>
class	Sin<T extends TType> Computes sine of x element-wise.
static class	Sin.Inputs<T extends TType>
class	Sinh<T extends TType> Computes hyperbolic sine of x element-wise.
static class	Sinh.Inputs<T extends TType>
class	Sqrt<T extends TType> Computes square root of x element-wise.
static class	Sqrt.Inputs<T extends TType>
class	SqrtGrad<T extends TType> Computes the gradient for the sqrt of x wrt its input.
static class	SqrtGrad.Inputs<T extends TType>
class	Square<T extends TType> Computes square of x element-wise.
static class	Square.Inputs<T extends TType>
class	SquaredDifference<T extends TType> Returns conj(x - y)(x - y) element-wise.
static class	SquaredDifference.Inputs<T extends TType>
class	Sub<T extends TType> Returns x - y element-wise.
static class	Sub.Inputs<T extends TType>
class	Tan<T extends TType> Computes tan of x element-wise.
static class	Tan.Inputs<T extends TType>
class	Tanh<T extends TType> Computes hyperbolic tangent of x element-wise.
static class	Tanh.Inputs<T extends TType>
class	TanhGrad<T extends TType> Computes the gradient for the tanh of x wrt its input.
static class	TanhGrad.Inputs<T extends TType>
class	TruncateDiv<T extends TType> Returns x / y element-wise for integer types.
static class	TruncateDiv.Inputs<T extends TType>
class	UnsortedSegmentProd<T extends TType> Computes the product along segments of a tensor.
static class	UnsortedSegmentProd.Inputs<T extends TType>
class	UnsortedSegmentSum<T extends TType> Computes the sum along segments of a tensor.
static class	UnsortedSegmentSum.Inputs<T extends TType>
class	Xdivy<T extends TType> Returns 0 if x == 0, and x / y otherwise, elementwise.
static class	Xdivy.Inputs<T extends TType>
class	Xlog1py<T extends TType> Returns 0 if x == 0, and x * log1p(y) otherwise, elementwise.
static class	Xlog1py.Inputs<T extends TType>
class	Xlogy<T extends TType> Returns 0 if x == 0, and x * log(y) otherwise, elementwise.
static class	Xlogy.Inputs<T extends TType>

Fields in org.tensorflow.op.math with type parameters of type TType

Modifier and Type	Field and Description
Operand<? extends TType>	Real.Inputs.input The input input
Operand<? extends TType>	Imag.Inputs.input The input input
Operand<? extends TType>	ArgMin.Inputs.input The input input
Operand<? extends TType>	ArgMax.Inputs.input The input input
Operand<? extends TType>	Angle.Inputs.input The input input
Operand<? extends TType>	ComplexAbs.Inputs.x The x input

Methods in org.tensorflow.op.math with type parameters of type TType

Modifier and Type	Method and Description
static <T extends TType> AddN<T>	AddN.create(Scope scope, Iterable<Operand<T>> inputs) Factory method to create a class wrapping a new AddN operation.
static <T extends TType> AccumulateN<T>	AccumulateN.create(Scope scope, Iterable<Operand<T>> inputs, org.tensorflow.ndarray.Shape shape) Factory method to create a class wrapping a new AccumulateNV2 operation.
static <T extends TType> Tanh<T>	Tanh.create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new Tanh operation.
static <T extends TType> Tan<T>	Tan.create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new Tan operation.
static <T extends TType> Square<T>	Square.create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new Square operation.
static <T extends TType> Sqrt<T>	Sqrt.create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new Sqrt operation.
static <T extends TType> Sinh<T>	Sinh.create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new Sinh operation.
static <T extends TType> Sin<T>	Sin.create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new Sin operation.
static <T extends TType> Sign<T>	Sign.create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new Sign operation.
static <T extends TType> Sigmoid<T>	Sigmoid.create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new Sigmoid operation.
static <T extends TType> Rsqrt<T>	Rsqrt.create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new Rsqrt operation.
static <T extends TType> Round<T>	Round.create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new Round operation.
static <T extends TType> Reciprocal<T>	Reciprocal.create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new Reciprocal operation.
static <T extends TType> Neg<T>	Neg.create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new Neg operation.
static <T extends TType> Log1p<T>	Log1p.create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new Log1p operation.
static <T extends TType> Log<T>	Log.create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new Log operation.
static <T extends TType> Expm1<T>	Expm1.create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new Expm1 operation.
static <T extends TType> Exp<T>	Exp.create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new Exp operation.
static <T extends TType> Cosh<T>	Cosh.create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new Cosh operation.
static <T extends TType> Cos<T>	Cos.create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new Cos operation.
static <T extends TType> Conj<T>	Conj.create(Scope scope, Operand<T> input) Factory method to create a class wrapping a new Conj operation.
static <T extends TType> Atanh<T>	Atanh.create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new Atanh operation.
static <T extends TType> Atan<T>	Atan.create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new Atan operation.
static <T extends TType> Asinh<T>	Asinh.create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new Asinh operation.
static <T extends TType> Asin<T>	Asin.create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new Asin operation.
static <T extends TType> Acosh<T>	Acosh.create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new Acosh operation.
static <T extends TType> Acos<T>	Acos.create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new Acos operation.
static <T extends TType> SegmentSum<T>	SegmentSum.create(Scope scope, Operand<T> data, Operand<? extends TNumber> segmentIds) Factory method to create a class wrapping a new SegmentSum operation.
static <T extends TType> SegmentProd<T>	SegmentProd.create(Scope scope, Operand<T> data, Operand<? extends TNumber> segmentIds) Factory method to create a class wrapping a new SegmentProd operation.
static <T extends TType> SegmentMean<T>	SegmentMean.create(Scope scope, Operand<T> data, Operand<? extends TNumber> segmentIds) Factory method to create a class wrapping a new SegmentMean operation.
static <T extends TType> Cumprod<T>	Cumprod.create(Scope scope, Operand<T> x, Operand<? extends TNumber> axis, Cumprod.Options... options) Factory method to create a class wrapping a new Cumprod operation.
static <T extends TType> Cumsum<T>	Cumsum.create(Scope scope, Operand<T> x, Operand<? extends TNumber> axis, Cumsum.Options... options) Factory method to create a class wrapping a new Cumsum operation.
static <T extends TType> Mean<T>	Mean.create(Scope scope, Operand<T> input, Operand<? extends TNumber> axis, Mean.Options... options) Factory method to create a class wrapping a new Mean operation.
static <T extends TType> UnsortedSegmentSum<T>	UnsortedSegmentSum.create(Scope scope, Operand<T> data, Operand<? extends TNumber> segmentIds, Operand<? extends TNumber> numSegments) Factory method to create a class wrapping a new UnsortedSegmentSum operation.
static <T extends TType> UnsortedSegmentProd<T>	UnsortedSegmentProd.create(Scope scope, Operand<T> data, Operand<? extends TNumber> segmentIds, Operand<? extends TNumber> numSegments) Factory method to create a class wrapping a new UnsortedSegmentProd operation.
static <T extends TType> Xlogy<T>	Xlogy.create(Scope scope, Operand<T> x, Operand<T> y) Factory method to create a class wrapping a new Xlogy operation.
static <T extends TType> Xlog1py<T>	Xlog1py.create(Scope scope, Operand<T> x, Operand<T> y) Factory method to create a class wrapping a new Xlog1py operation.
static <T extends TType> Xdivy<T>	Xdivy.create(Scope scope, Operand<T> x, Operand<T> y) Factory method to create a class wrapping a new Xdivy operation.
static <T extends TType> TruncateDiv<T>	TruncateDiv.create(Scope scope, Operand<T> x, Operand<T> y) Factory method to create a class wrapping a new TruncateDiv operation.
static <T extends TType> TanhGrad<T>	TanhGrad.create(Scope scope, Operand<T> y, Operand<T> dy) Factory method to create a class wrapping a new TanhGrad operation.
static <T extends TType> Sub<T>	Sub.create(Scope scope, Operand<T> x, Operand<T> y) Factory method to create a class wrapping a new Sub operation.
static <T extends TType> SquaredDifference<T>	SquaredDifference.create(Scope scope, Operand<T> x, Operand<T> y) Factory method to create a class wrapping a new SquaredDifference operation.
static <T extends TType> SqrtGrad<T>	SqrtGrad.create(Scope scope, Operand<T> y, Operand<T> dy) Factory method to create a class wrapping a new SqrtGrad operation.
static <T extends TType> SigmoidGrad<T>	SigmoidGrad.create(Scope scope, Operand<T> y, Operand<T> dy) Factory method to create a class wrapping a new SigmoidGrad operation.
static <T extends TType> RsqrtGrad<T>	RsqrtGrad.create(Scope scope, Operand<T> y, Operand<T> dy) Factory method to create a class wrapping a new RsqrtGrad operation.
static <T extends TType> ReciprocalGrad<T>	ReciprocalGrad.create(Scope scope, Operand<T> y, Operand<T> dy) Factory method to create a class wrapping a new ReciprocalGrad operation.
static <T extends TType> RealDiv<T>	RealDiv.create(Scope scope, Operand<T> x, Operand<T> y) Factory method to create a class wrapping a new RealDiv operation.
static <T extends TType> Pow<T>	Pow.create(Scope scope, Operand<T> x, Operand<T> y) Factory method to create a class wrapping a new Pow operation.
static <T extends TType> MulNoNan<T>	MulNoNan.create(Scope scope, Operand<T> x, Operand<T> y) Factory method to create a class wrapping a new MulNoNan operation.
static <T extends TType> Mul<T>	Mul.create(Scope scope, Operand<T> x, Operand<T> y) Factory method to create a class wrapping a new Mul operation.
static <T extends TType> FloorDiv<T>	FloorDiv.create(Scope scope, Operand<T> x, Operand<T> y) Factory method to create a class wrapping a new FloorDiv operation.
static <T extends TType> DivNoNan<T>	DivNoNan.create(Scope scope, Operand<T> x, Operand<T> y) Factory method to create a class wrapping a new DivNoNan operation.
static <T extends TType> Div<T>	Div.create(Scope scope, Operand<T> x, Operand<T> y) Factory method to create a class wrapping a new Div operation.
static <T extends TType> Add<T>	Add.create(Scope scope, Operand<T> x, Operand<T> y) Factory method to create a class wrapping a new Add operation.
static <T extends TType> ApproximateEqual	ApproximateEqual.create(Scope scope, Operand<T> x, Operand<T> y, ApproximateEqual.Options... options) Factory method to create a class wrapping a new ApproximateEqual operation.
static <T extends TType> Equal	Equal.create(Scope scope, Operand<T> x, Operand<T> y, Equal.Options... options) Factory method to create a class wrapping a new Equal operation.
static <T extends TType> NotEqual	NotEqual.create(Scope scope, Operand<T> x, Operand<T> y, NotEqual.Options... options) Factory method to create a class wrapping a new NotEqual operation.

Method parameters in org.tensorflow.op.math with type arguments of type TType

Modifier and Type	Method and Description
static Real<TFloat32>	Real.create(Scope scope, Operand<? extends TType> input) Factory method to create a class wrapping a new Real operation, with the default output types.
static Imag<TFloat32>	Imag.create(Scope scope, Operand<? extends TType> input) Factory method to create a class wrapping a new Imag operation, with the default output types.
static ComplexAbs<TFloat32>	ComplexAbs.create(Scope scope, Operand<? extends TType> x) Factory method to create a class wrapping a new ComplexAbs operation, with the default output types.
static Angle<TFloat32>	Angle.create(Scope scope, Operand<? extends TType> input) Factory method to create a class wrapping a new Angle operation, with the default output types.
static <U extends TNumber> Real<U>	Real.create(Scope scope, Operand<? extends TType> input, Class<U> Tout) Factory method to create a class wrapping a new Real operation.
static <U extends TNumber> Imag<U>	Imag.create(Scope scope, Operand<? extends TType> input, Class<U> Tout) Factory method to create a class wrapping a new Imag operation.
static <U extends TNumber> ComplexAbs<U>	ComplexAbs.create(Scope scope, Operand<? extends TType> x, Class<U> Tout) Factory method to create a class wrapping a new ComplexAbs operation.
static <U extends TNumber> Angle<U>	Angle.create(Scope scope, Operand<? extends TType> input, Class<U> Tout) Factory method to create a class wrapping a new Angle operation.
static ArgMin<TInt64>	ArgMin.create(Scope scope, Operand<? extends TType> input, Operand<? extends TNumber> dimension) Factory method to create a class wrapping a new ArgMin operation, with the default output types.
static ArgMax<TInt64>	ArgMax.create(Scope scope, Operand<? extends TType> input, Operand<? extends TNumber> dimension) Factory method to create a class wrapping a new ArgMax operation, with the default output types.
static <V extends TNumber> ArgMin<V>	ArgMin.create(Scope scope, Operand<? extends TType> input, Operand<? extends TNumber> dimension, Class<V> outputType) Factory method to create a class wrapping a new ArgMin operation.
static <V extends TNumber> ArgMax<V>	ArgMax.create(Scope scope, Operand<? extends TType> input, Operand<? extends TNumber> dimension, Class<V> outputType) Factory method to create a class wrapping a new ArgMax operation.

Uses of TType in org.tensorflow.op.nn

Classes in org.tensorflow.op.nn with type parameters of type TType

Modifier and Type	Class and Description
class	BatchNormWithGlobalNormalization<T extends TType> Batch normalization.
static class	BatchNormWithGlobalNormalization.Inputs<T extends TType>
class	BatchNormWithGlobalNormalizationGrad<T extends TType> Gradients for batch normalization.
static class	BatchNormWithGlobalNormalizationGrad.Inputs<T extends TType>
class	BiasAdd<T extends TType> Adds bias to value.
static class	BiasAdd.Inputs<T extends TType>
class	BiasAddGrad<T extends TType> The backward operation for "BiasAdd" on the "bias" tensor.
static class	BiasAddGrad.Inputs<T extends TType>
class	DepthToSpace<T extends TType> DepthToSpace for tensors of type T.
static class	DepthToSpace.Inputs<T extends TType>
class	InvGrad<T extends TType> Computes the gradient for the inverse of x wrt its input.
static class	InvGrad.Inputs<T extends TType>
class	SpaceToBatch<T extends TType> SpaceToBatch for 4-D tensors of type T.
static class	SpaceToBatch.Inputs<T extends TType>
class	SpaceToDepth<T extends TType> SpaceToDepth for tensors of type T.
static class	SpaceToDepth.Inputs<T extends TType>

Fields in org.tensorflow.op.nn with type parameters of type TType

Modifier and Type	Field and Description
Operand<? extends TType>	CudnnRNNBackprop.Inputs.hostReserved The hostReserved input

Methods in org.tensorflow.op.nn with type parameters of type TType

Modifier and Type	Method and Description
static <T extends TType> BiasAddGrad<T>	BiasAddGrad.create(Scope scope, Operand<T> outBackprop, BiasAddGrad.Options... options) Factory method to create a class wrapping a new BiasAddGrad operation.
static <T extends TType> DepthToSpace<T>	DepthToSpace.create(Scope scope, Operand<T> input, Long blockSize, DepthToSpace.Options... options) Factory method to create a class wrapping a new DepthToSpace operation.
static <T extends TType> SpaceToDepth<T>	SpaceToDepth.create(Scope scope, Operand<T> input, Long blockSize, SpaceToDepth.Options... options) Factory method to create a class wrapping a new SpaceToDepth operation.
static <T extends TType> SpaceToBatch<T>	SpaceToBatch.create(Scope scope, Operand<T> input, Operand<? extends TNumber> paddings, Long blockSize) Factory method to create a class wrapping a new SpaceToBatch operation.
static <T extends TType> InvGrad<T>	InvGrad.create(Scope scope, Operand<T> y, Operand<T> dy) Factory method to create a class wrapping a new InvGrad operation.
static <T extends TType> BiasAdd<T>	BiasAdd.create(Scope scope, Operand<T> value, Operand<T> bias, BiasAdd.Options... options) Factory method to create a class wrapping a new BiasAdd operation.
static <T extends TType> BatchNormWithGlobalNormalizationGrad<T>	BatchNormWithGlobalNormalizationGrad.create(Scope scope, Operand<T> t, Operand<T> m, Operand<T> v, Operand<T> gamma, Operand<T> backprop, Float varianceEpsilon, Boolean scaleAfterNormalization) Factory method to create a class wrapping a new BatchNormWithGlobalNormalizationGrad operation.
static <T extends TType> BatchNormWithGlobalNormalization<T>	BatchNormWithGlobalNormalization.create(Scope scope, Operand<T> t, Operand<T> m, Operand<T> v, Operand<T> beta, Operand<T> gamma, Float varianceEpsilon, Boolean scaleAfterNormalization) Factory method to create a class wrapping a new BatchNormWithGlobalNormalization operation.

Methods in org.tensorflow.op.nn that return types with arguments of type TType

Modifier and Type	Method and Description
Output<? extends TType>	CudnnRNN.hostReserved() Gets hostReserved.

Method parameters in org.tensorflow.op.nn with type arguments of type TType

Modifier and Type

Method and Description

static <T extends TNumber> CudnnRNNBackprop<T>

CudnnRNNBackprop.create(Scope scope, Operand<T> input, Operand<T> inputH, Operand<T> inputC, Operand<T> params, Operand<TInt32> sequenceLengths, Operand<T> output, Operand<T> outputH, Operand<T> outputC, Operand<T> outputBackprop, Operand<T> outputHBackprop, Operand<T> outputCBackprop, Operand<T> reserveSpace, Operand<? extends TType> hostReserved, CudnnRNNBackprop.Options... options) Factory method to create a class wrapping a new CudnnRNNBackpropV3 operation.

Uses of TType in org.tensorflow.op.quantization

Classes in org.tensorflow.op.quantization with type parameters of type TType

Modifier and Type	Class and Description
class	QuantizedConcat<T extends TType> Concatenates quantized tensors along one dimension.
static class	QuantizedConcat.Inputs<T extends TType>

Methods in org.tensorflow.op.quantization with type parameters of type TType

Modifier and Type	Method and Description
static <T extends TType> QuantizedConcat<T>	QuantizedConcat.create(Scope scope, Operand<TInt32> concatDim, Iterable<Operand<T>> values, Iterable<Operand<TFloat32>> inputMins, Iterable<Operand<TFloat32>> inputMaxes) Factory method to create a class wrapping a new QuantizedConcat operation.

Uses of TType in org.tensorflow.op.ragged

Classes in org.tensorflow.op.ragged with type parameters of type TType

Modifier and Type	Class and Description
class	RaggedCross<T extends TType,U extends TNumber> Generates a feature cross from a list of tensors, and returns it as a RaggedTensor.
class	RaggedGather<T extends TNumber,U extends TType> Gather ragged slices from params axis 0 according to indices.
static class	RaggedGather.Inputs<T extends TNumber,U extends TType>
class	RaggedTensorFromVariant<T extends TNumber,U extends TType> Decodes a variant Tensor into a RaggedTensor.
class	RaggedTensorToSparse<U extends TType> Converts a RaggedTensor into a SparseTensor with the same values.
static class	RaggedTensorToSparse.Inputs<U extends TType>
class	RaggedTensorToTensor<U extends TType> Create a dense tensor from a ragged tensor, possibly altering its shape.
static class	RaggedTensorToTensor.Inputs<U extends TType>
class	RaggedTensorToVariantGradient<U extends TType> Helper used to compute the gradient for RaggedTensorToVariant.

Fields in org.tensorflow.op.ragged with type parameters of type TType

Modifier and Type	Field and Description
Operand<? extends TType>	RaggedTensorFromVariant.Inputs.encodedRagged A variant Tensor containing encoded RaggedTensors.
Operand<? extends TType>	RaggedTensorToVariantGradient.Inputs.encodedRaggedGrad A variant Tensor containing encoded RaggedTensor gradients.
Operand<? extends TType>	RaggedTensorToVariant.Inputs.rtDenseValues A Tensor representing the values of the input RaggedTensor.

Methods in org.tensorflow.op.ragged with type parameters of type TType

Modifier and Type	Method and Description
static <T extends TType,U extends TNumber> RaggedCross<T,U>	RaggedCross.create(Scope scope, Iterable<Operand<?>> raggedValues, Iterable<Operand<?>> raggedRowSplits, Iterable<Operand<TInt64>> sparseIndices, Iterable<Operand<?>> sparseValues, Iterable<Operand<TInt64>> sparseShape, Iterable<Operand<?>> denseInputs, String inputOrder, Boolean hashedOutput, Long numBuckets, Long hashKey, Class<T> outValuesType, Class<U> outRowSplitsType) Factory method to create a class wrapping a new RaggedCross operation.
static <U extends TType> RaggedTensorToSparse<U>	RaggedTensorToSparse.create(Scope scope, Iterable<Operand<? extends TNumber>> rtNestedSplits, Operand<U> rtDenseValues) Factory method to create a class wrapping a new RaggedTensorToSparse operation.
static <T extends TNumber,U extends TType> RaggedGather<T,U>	RaggedGather.create(Scope scope, Iterable<Operand<T>> paramsNestedSplits, Operand<U> paramsDenseValues, Operand<? extends TNumber> indices, Long OUTPUTRAGGEDRANK) Factory method to create a class wrapping a new RaggedGather operation.
static <U extends TType> RaggedTensorToTensor<U>	RaggedTensorToTensor.create(Scope scope, Operand<? extends TNumber> shape, Operand<U> values, Operand<U> defaultValue, Iterable<Operand<? extends TNumber>> rowPartitionTensors, List<String> rowPartitionTypes) Factory method to create a class wrapping a new RaggedTensorToTensor operation.
static <U extends TType> RaggedTensorFromVariant<TInt64,U>	RaggedTensorFromVariant.create(Scope scope, Operand<? extends TType> encodedRagged, Long inputRaggedRank, Long outputRaggedRank, Class<U> Tvalues) Factory method to create a class wrapping a new RaggedTensorFromVariant operation, with the default output types.
static <T extends TNumber,U extends TType> RaggedTensorFromVariant<T,U>	RaggedTensorFromVariant.create(Scope scope, Operand<? extends TType> encodedRagged, Long inputRaggedRank, Long outputRaggedRank, Class<U> Tvalues, Class<T> Tsplits) Factory method to create a class wrapping a new RaggedTensorFromVariant operation.
static <U extends TType> RaggedTensorToVariantGradient<U>	RaggedTensorToVariantGradient.create(Scope scope, Operand<? extends TType> encodedRaggedGrad, Operand<? extends TNumber> rowSplits, Operand<TInt32> denseValuesShape, Class<U> Tvalues) Factory method to create a class wrapping a new RaggedTensorToVariantGradient operation.

Methods in org.tensorflow.op.ragged that return types with arguments of type TType

Modifier and Type	Method and Description
Output<TType>	RaggedTensorToVariant.asOutput()
Output<? extends TType>	RaggedTensorToVariant.encodedRagged() Gets encodedRagged.

Method parameters in org.tensorflow.op.ragged with type arguments of type TType

Modifier and Type	Method and Description
static RaggedTensorToVariant	RaggedTensorToVariant.create(Scope scope, Iterable<Operand<? extends TNumber>> rtNestedSplits, Operand<? extends TType> rtDenseValues, Boolean batchedInput) Factory method to create a class wrapping a new RaggedTensorToVariant operation.
static <U extends TType> RaggedTensorFromVariant<TInt64,U>	RaggedTensorFromVariant.create(Scope scope, Operand<? extends TType> encodedRagged, Long inputRaggedRank, Long outputRaggedRank, Class<U> Tvalues) Factory method to create a class wrapping a new RaggedTensorFromVariant operation, with the default output types.
static <T extends TNumber,U extends TType> RaggedTensorFromVariant<T,U>	RaggedTensorFromVariant.create(Scope scope, Operand<? extends TType> encodedRagged, Long inputRaggedRank, Long outputRaggedRank, Class<U> Tvalues, Class<T> Tsplits) Factory method to create a class wrapping a new RaggedTensorFromVariant operation.
static <U extends TType> RaggedTensorToVariantGradient<U>	RaggedTensorToVariantGradient.create(Scope scope, Operand<? extends TType> encodedRaggedGrad, Operand<? extends TNumber> rowSplits, Operand<TInt32> denseValuesShape, Class<U> Tvalues) Factory method to create a class wrapping a new RaggedTensorToVariantGradient operation.

Uses of TType in org.tensorflow.op.random

Classes in org.tensorflow.op.random with type parameters of type TType

Modifier and Type	Class and Description
class	NonDeterministicInts<U extends TType> Non-deterministically generates some integers.
class	RandomShuffle<T extends TType> Randomly shuffles a tensor along its first dimension.
static class	RandomShuffle.Inputs<T extends TType>
class	StatefulStandardNormal<U extends TType> Outputs random values from a normal distribution.
class	StatefulTruncatedNormal<U extends TType> Outputs random values from a truncated normal distribution.
class	StatefulUniform<U extends TType> Outputs random values from a uniform distribution.
class	StatefulUniformFullInt<U extends TType> Outputs random integers from a uniform distribution.
class	StatefulUniformInt<U extends TType> Outputs random integers from a uniform distribution.
static class	StatefulUniformInt.Inputs<U extends TType>

Fields in org.tensorflow.op.random with type parameters of type TType

Modifier and Type	Field and Description
Operand<? extends TType>	StatelessTruncatedNormalV2.Inputs.counter Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm).
Operand<? extends TType>	StatelessRandomUniformV2.Inputs.counter Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm).
Operand<? extends TType>	StatelessRandomUniformIntV2.Inputs.counter Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm).
Operand<? extends TType>	StatelessRandomUniformFullIntV2.Inputs.counter Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm).
Operand<? extends TType>	StatelessRandomNormalV2.Inputs.counter Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm).
Operand<? extends TType>	DeleteSeedGenerator.Inputs.deleter The deleter input
Operand<? extends TType>	DeleteRandomSeedGenerator.Inputs.deleter The deleter input
Operand<? extends TType>	RngReadAndSkip.Inputs.delta The amount of advancement.
Operand<? extends TType>	DeleteSeedGenerator.Inputs.handle The handle input
Operand<? extends TType>	DeleteRandomSeedGenerator.Inputs.handle The handle input
Operand<? extends TType>	StatelessTruncatedNormalV2.Inputs.key Key for the counter-based RNG algorithm (shape uint64[1]).
Operand<? extends TType>	StatelessRandomUniformV2.Inputs.key Key for the counter-based RNG algorithm (shape uint64[1]).
Operand<? extends TType>	StatelessRandomUniformIntV2.Inputs.key Key for the counter-based RNG algorithm (shape uint64[1]).
Operand<? extends TType>	StatelessRandomUniformFullIntV2.Inputs.key Key for the counter-based RNG algorithm (shape uint64[1]).
Operand<? extends TType>	StatelessRandomNormalV2.Inputs.key Key for the counter-based RNG algorithm (shape uint64[1]).
Operand<? extends TType>	StatefulUniformInt.Inputs.resource The handle of the resource variable that stores the state of the RNG.
Operand<? extends TType>	StatefulUniformFullInt.Inputs.resource The handle of the resource variable that stores the state of the RNG.
Operand<? extends TType>	StatefulUniform.Inputs.resource The handle of the resource variable that stores the state of the RNG.
Operand<? extends TType>	StatefulTruncatedNormal.Inputs.resource The handle of the resource variable that stores the state of the RNG.
Operand<? extends TType>	StatefulStandardNormal.Inputs.resource The handle of the resource variable that stores the state of the RNG.
Operand<? extends TType>	StatefulRandomBinomial.Inputs.resource The resource input
Operand<? extends TType>	RngSkip.Inputs.resource The handle of the resource variable that stores the state of the RNG.
Operand<? extends TType>	RngReadAndSkip.Inputs.resource The handle of the resource variable that stores the state of the RNG.
Operand<? extends TType>	StatefulUniformInt.Inputs.shape The shape of the output tensor.
Operand<? extends TType>	StatefulUniformFullInt.Inputs.shape The shape of the output tensor.
Operand<? extends TType>	StatefulUniform.Inputs.shape The shape of the output tensor.
Operand<? extends TType>	StatefulTruncatedNormal.Inputs.shape The shape of the output tensor.
Operand<? extends TType>	StatefulStandardNormal.Inputs.shape The shape of the output tensor.
Operand<? extends TType>	NonDeterministicInts.Inputs.shape The shape of the output tensor.

Methods in org.tensorflow.op.random with type parameters of type TType

Modifier and Type	Method and Description
static <U extends TType> NonDeterministicInts<U>	NonDeterministicInts.create(Scope scope, Operand<? extends TType> shape, Class<U> dtype) Factory method to create a class wrapping a new NonDeterministicInts operation.
static <U extends TType> StatefulUniformFullInt<U>	StatefulUniformFullInt.create(Scope scope, Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TType> shape, Class<U> dtype) Factory method to create a class wrapping a new StatefulUniformFullInt operation.
static <U extends TType> StatefulUniform<U>	StatefulUniform.create(Scope scope, Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TType> shape, Class<U> dtype) Factory method to create a class wrapping a new StatefulUniform operation.
static <U extends TType> StatefulTruncatedNormal<U>	StatefulTruncatedNormal.create(Scope scope, Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TType> shape, Class<U> dtype) Factory method to create a class wrapping a new StatefulTruncatedNormal operation.
static <U extends TType> StatefulStandardNormal<U>	StatefulStandardNormal.create(Scope scope, Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TType> shape, Class<U> dtype) Factory method to create a class wrapping a new StatefulStandardNormalV2 operation.
static <U extends TType> StatefulUniformInt<U>	StatefulUniformInt.create(Scope scope, Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TType> shape, Operand<U> minval, Operand<U> maxval) Factory method to create a class wrapping a new StatefulUniformInt operation.
static <T extends TType> RandomShuffle<T>	RandomShuffle.create(Scope scope, Operand<T> value, RandomShuffle.Options... options) Factory method to create a class wrapping a new RandomShuffle operation.

Methods in org.tensorflow.op.random that return types with arguments of type TType

Modifier and Type	Method and Description
Output<TType>	DummySeedGenerator.asOutput()
Output<? extends TType>	StatelessRandomGetKeyCounterAlg.counter() Gets counter.
Output<? extends TType>	StatelessRandomGetKeyCounter.counter() Gets counter.
Output<? extends TType>	AnonymousSeedGenerator.deleter() Gets deleter.
Output<? extends TType>	AnonymousRandomSeedGenerator.deleter() Gets deleter.
Output<? extends TType>	DummySeedGenerator.handle() Gets handle.
Output<? extends TType>	AnonymousSeedGenerator.handle() Gets handle.
Output<? extends TType>	AnonymousRandomSeedGenerator.handle() Gets handle.
Output<? extends TType>	StatelessRandomGetKeyCounterAlg.key() Gets key.
Output<? extends TType>	StatelessRandomGetKeyCounter.key() Gets key.

Method parameters in org.tensorflow.op.random with type arguments of type TType

Modifier and Type	Method and Description
static StatelessTruncatedNormalV2<TFloat32>	StatelessTruncatedNormalV2.create(Scope scope, Operand<? extends TNumber> shape, Operand<? extends TType> key, Operand<? extends TType> counter, Operand<TInt32> alg) Factory method to create a class wrapping a new StatelessTruncatedNormalV2 operation, with the default output types.
static StatelessTruncatedNormalV2<TFloat32>	StatelessTruncatedNormalV2.create(Scope scope, Operand<? extends TNumber> shape, Operand<? extends TType> key, Operand<? extends TType> counter, Operand<TInt32> alg) Factory method to create a class wrapping a new StatelessTruncatedNormalV2 operation, with the default output types.
static StatelessRandomUniformV2<TFloat32>	StatelessRandomUniformV2.create(Scope scope, Operand<? extends TNumber> shape, Operand<? extends TType> key, Operand<? extends TType> counter, Operand<TInt32> alg) Factory method to create a class wrapping a new StatelessRandomUniformV2 operation, with the default output types.
static StatelessRandomUniformV2<TFloat32>	StatelessRandomUniformV2.create(Scope scope, Operand<? extends TNumber> shape, Operand<? extends TType> key, Operand<? extends TType> counter, Operand<TInt32> alg) Factory method to create a class wrapping a new StatelessRandomUniformV2 operation, with the default output types.
static StatelessRandomNormalV2<TFloat32>	StatelessRandomNormalV2.create(Scope scope, Operand<? extends TNumber> shape, Operand<? extends TType> key, Operand<? extends TType> counter, Operand<TInt32> alg) Factory method to create a class wrapping a new StatelessRandomNormalV2 operation, with the default output types.
static StatelessRandomNormalV2<TFloat32>	StatelessRandomNormalV2.create(Scope scope, Operand<? extends TNumber> shape, Operand<? extends TType> key, Operand<? extends TType> counter, Operand<TInt32> alg) Factory method to create a class wrapping a new StatelessRandomNormalV2 operation, with the default output types.
static <U extends TNumber> StatelessTruncatedNormalV2<U>	StatelessTruncatedNormalV2.create(Scope scope, Operand<? extends TNumber> shape, Operand<? extends TType> key, Operand<? extends TType> counter, Operand<TInt32> alg, Class<U> dtype) Factory method to create a class wrapping a new StatelessTruncatedNormalV2 operation.
static <U extends TNumber> StatelessTruncatedNormalV2<U>	StatelessTruncatedNormalV2.create(Scope scope, Operand<? extends TNumber> shape, Operand<? extends TType> key, Operand<? extends TType> counter, Operand<TInt32> alg, Class<U> dtype) Factory method to create a class wrapping a new StatelessTruncatedNormalV2 operation.
static <U extends TNumber> StatelessRandomUniformV2<U>	StatelessRandomUniformV2.create(Scope scope, Operand<? extends TNumber> shape, Operand<? extends TType> key, Operand<? extends TType> counter, Operand<TInt32> alg, Class<U> dtype) Factory method to create a class wrapping a new StatelessRandomUniformV2 operation.
static <U extends TNumber> StatelessRandomUniformV2<U>	StatelessRandomUniformV2.create(Scope scope, Operand<? extends TNumber> shape, Operand<? extends TType> key, Operand<? extends TType> counter, Operand<TInt32> alg, Class<U> dtype) Factory method to create a class wrapping a new StatelessRandomUniformV2 operation.
static <U extends TNumber> StatelessRandomUniformFullIntV2<U>	StatelessRandomUniformFullIntV2.create(Scope scope, Operand<? extends TNumber> shape, Operand<? extends TType> key, Operand<? extends TType> counter, Operand<TInt32> alg, Class<U> dtype) Factory method to create a class wrapping a new StatelessRandomUniformFullIntV2 operation.
static <U extends TNumber> StatelessRandomUniformFullIntV2<U>	StatelessRandomUniformFullIntV2.create(Scope scope, Operand<? extends TNumber> shape, Operand<? extends TType> key, Operand<? extends TType> counter, Operand<TInt32> alg, Class<U> dtype) Factory method to create a class wrapping a new StatelessRandomUniformFullIntV2 operation.
static <U extends TNumber> StatelessRandomNormalV2<U>	StatelessRandomNormalV2.create(Scope scope, Operand<? extends TNumber> shape, Operand<? extends TType> key, Operand<? extends TType> counter, Operand<TInt32> alg, Class<U> dtype) Factory method to create a class wrapping a new StatelessRandomNormalV2 operation.
static <U extends TNumber> StatelessRandomNormalV2<U>	StatelessRandomNormalV2.create(Scope scope, Operand<? extends TNumber> shape, Operand<? extends TType> key, Operand<? extends TType> counter, Operand<TInt32> alg, Class<U> dtype) Factory method to create a class wrapping a new StatelessRandomNormalV2 operation.
static <U extends TNumber> StatelessRandomUniformIntV2<U>	StatelessRandomUniformIntV2.create(Scope scope, Operand<? extends TNumber> shape, Operand<? extends TType> key, Operand<? extends TType> counter, Operand<TInt32> alg, Operand<U> minval, Operand<U> maxval) Factory method to create a class wrapping a new StatelessRandomUniformIntV2 operation.
static <U extends TNumber> StatelessRandomUniformIntV2<U>	StatelessRandomUniformIntV2.create(Scope scope, Operand<? extends TNumber> shape, Operand<? extends TType> key, Operand<? extends TType> counter, Operand<TInt32> alg, Operand<U> minval, Operand<U> maxval) Factory method to create a class wrapping a new StatelessRandomUniformIntV2 operation.
static NonDeterministicInts<TInt64>	NonDeterministicInts.create(Scope scope, Operand<? extends TType> shape) Factory method to create a class wrapping a new NonDeterministicInts operation, with the default output types.
static <U extends TType> NonDeterministicInts<U>	NonDeterministicInts.create(Scope scope, Operand<? extends TType> shape, Class<U> dtype) Factory method to create a class wrapping a new NonDeterministicInts operation.
static DeleteSeedGenerator	DeleteSeedGenerator.create(Scope scope, Operand<? extends TType> handle, Operand<? extends TType> deleter) Factory method to create a class wrapping a new DeleteSeedGenerator operation.
static DeleteSeedGenerator	DeleteSeedGenerator.create(Scope scope, Operand<? extends TType> handle, Operand<? extends TType> deleter) Factory method to create a class wrapping a new DeleteSeedGenerator operation.
static DeleteRandomSeedGenerator	DeleteRandomSeedGenerator.create(Scope scope, Operand<? extends TType> handle, Operand<? extends TType> deleter) Factory method to create a class wrapping a new DeleteRandomSeedGenerator operation.
static DeleteRandomSeedGenerator	DeleteRandomSeedGenerator.create(Scope scope, Operand<? extends TType> handle, Operand<? extends TType> deleter) Factory method to create a class wrapping a new DeleteRandomSeedGenerator operation.
static RngReadAndSkip	RngReadAndSkip.create(Scope scope, Operand<? extends TType> resource, Operand<TInt32> alg, Operand<? extends TType> delta) Factory method to create a class wrapping a new RngReadAndSkip operation.
static RngReadAndSkip	RngReadAndSkip.create(Scope scope, Operand<? extends TType> resource, Operand<TInt32> alg, Operand<? extends TType> delta) Factory method to create a class wrapping a new RngReadAndSkip operation.
static <U extends TNumber> StatefulRandomBinomial<TInt64>	StatefulRandomBinomial.create(Scope scope, Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TNumber> shape, Operand<U> counts, Operand<U> probs) Factory method to create a class wrapping a new StatefulRandomBinomial operation, with the default output types.
static <V extends TNumber,U extends TNumber> StatefulRandomBinomial<V>	StatefulRandomBinomial.create(Scope scope, Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TNumber> shape, Operand<U> counts, Operand<U> probs, Class<V> dtype) Factory method to create a class wrapping a new StatefulRandomBinomial operation.
static StatefulUniform<TFloat32>	StatefulUniform.create(Scope scope, Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TType> shape) Factory method to create a class wrapping a new StatefulUniform operation, with the default output types.
static StatefulUniform<TFloat32>	StatefulUniform.create(Scope scope, Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TType> shape) Factory method to create a class wrapping a new StatefulUniform operation, with the default output types.
static StatefulTruncatedNormal<TFloat32>	StatefulTruncatedNormal.create(Scope scope, Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TType> shape) Factory method to create a class wrapping a new StatefulTruncatedNormal operation, with the default output types.
static StatefulTruncatedNormal<TFloat32>	StatefulTruncatedNormal.create(Scope scope, Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TType> shape) Factory method to create a class wrapping a new StatefulTruncatedNormal operation, with the default output types.
static StatefulStandardNormal<TFloat32>	StatefulStandardNormal.create(Scope scope, Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TType> shape) Factory method to create a class wrapping a new StatefulStandardNormalV2 operation, with the default output types.
static StatefulStandardNormal<TFloat32>	StatefulStandardNormal.create(Scope scope, Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TType> shape) Factory method to create a class wrapping a new StatefulStandardNormalV2 operation, with the default output types.
static <U extends TType> StatefulUniformFullInt<U>	StatefulUniformFullInt.create(Scope scope, Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TType> shape, Class<U> dtype) Factory method to create a class wrapping a new StatefulUniformFullInt operation.
static <U extends TType> StatefulUniformFullInt<U>	StatefulUniformFullInt.create(Scope scope, Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TType> shape, Class<U> dtype) Factory method to create a class wrapping a new StatefulUniformFullInt operation.
static <U extends TType> StatefulUniform<U>	StatefulUniform.create(Scope scope, Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TType> shape, Class<U> dtype) Factory method to create a class wrapping a new StatefulUniform operation.
static <U extends TType> StatefulUniform<U>	StatefulUniform.create(Scope scope, Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TType> shape, Class<U> dtype) Factory method to create a class wrapping a new StatefulUniform operation.
static <U extends TType> StatefulTruncatedNormal<U>	StatefulTruncatedNormal.create(Scope scope, Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TType> shape, Class<U> dtype) Factory method to create a class wrapping a new StatefulTruncatedNormal operation.
static <U extends TType> StatefulTruncatedNormal<U>	StatefulTruncatedNormal.create(Scope scope, Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TType> shape, Class<U> dtype) Factory method to create a class wrapping a new StatefulTruncatedNormal operation.
static <U extends TType> StatefulStandardNormal<U>	StatefulStandardNormal.create(Scope scope, Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TType> shape, Class<U> dtype) Factory method to create a class wrapping a new StatefulStandardNormalV2 operation.
static <U extends TType> StatefulStandardNormal<U>	StatefulStandardNormal.create(Scope scope, Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TType> shape, Class<U> dtype) Factory method to create a class wrapping a new StatefulStandardNormalV2 operation.
static <U extends TType> StatefulUniformInt<U>	StatefulUniformInt.create(Scope scope, Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TType> shape, Operand<U> minval, Operand<U> maxval) Factory method to create a class wrapping a new StatefulUniformInt operation.
static <U extends TType> StatefulUniformInt<U>	StatefulUniformInt.create(Scope scope, Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<? extends TType> shape, Operand<U> minval, Operand<U> maxval) Factory method to create a class wrapping a new StatefulUniformInt operation.
static RngSkip	RngSkip.create(Scope scope, Operand<? extends TType> resource, Operand<TInt64> algorithm, Operand<TInt64> delta) Factory method to create a class wrapping a new RngSkip operation.

Uses of TType in org.tensorflow.op.risc

Classes in org.tensorflow.op.risc with type parameters of type TType

Modifier and Type	Class and Description
class	RiscBitcast<U extends TType> The RiscBitcast operation
class	RiscBroadcast<T extends TType> The RiscBroadcast operation
static class	RiscBroadcast.Inputs<T extends TType>
class	RiscCast<U extends TType> The RiscCast operation
class	RiscConcat<T extends TType> The RiscConcat operation
static class	RiscConcat.Inputs<T extends TType>
class	RiscFft<T extends TType> The RiscFft operation
static class	RiscFft.Inputs<T extends TType>
class	RiscGather<T extends TType> The RiscGather operation
static class	RiscGather.Inputs<T extends TType>
class	RiscSqueeze<T extends TType> The RiscSqueeze operation
static class	RiscSqueeze.Inputs<T extends TType>
class	RiscTranspose<T extends TType> The RiscTranspose operation
static class	RiscTranspose.Inputs<T extends TType>

Fields in org.tensorflow.op.risc with type parameters of type TType

Modifier and Type	Field and Description
Operand<? extends TType>	RiscReal.Inputs.input The input input
Operand<? extends TType>	RiscImag.Inputs.input The input input
Operand<? extends TType>	RiscCast.Inputs.x The x input
Operand<? extends TType>	RiscBitcast.Inputs.x The x input

Methods in org.tensorflow.op.risc with type parameters of type TType

Modifier and Type	Method and Description
static <T extends TType> RiscConcat<T>	RiscConcat.create(Scope scope, Iterable<Operand<T>> values, Operand<? extends TNumber> axis) Factory method to create a class wrapping a new RiscConcat operation.
static <U extends TType> RiscCast<U>	RiscCast.create(Scope scope, Operand<? extends TType> x, Class<U> DstT) Factory method to create a class wrapping a new RiscCast operation.
static <U extends TType> RiscBitcast<U>	RiscBitcast.create(Scope scope, Operand<? extends TType> x, Class<U> DstT) Factory method to create a class wrapping a new RiscBitcast operation.
static <T extends TType> RiscFft<T>	RiscFft.create(Scope scope, Operand<T> input) Factory method to create a class wrapping a new RiscFft operation.
static <T extends TType> RiscTranspose<T>	RiscTranspose.create(Scope scope, Operand<T> x, Operand<? extends TNumber> perm) Factory method to create a class wrapping a new RiscTranspose operation.
static <T extends TType> RiscBroadcast<T>	RiscBroadcast.create(Scope scope, Operand<T> input, Operand<? extends TNumber> shape) Factory method to create a class wrapping a new RiscBroadcast operation.
static <T extends TType> RiscGather<T>	RiscGather.create(Scope scope, Operand<T> params, Operand<? extends TNumber> indices, Operand<? extends TNumber> axis, RiscGather.Options... options) Factory method to create a class wrapping a new RiscGather operation.
static <T extends TType> RiscSqueeze<T>	RiscSqueeze.create(Scope scope, Operand<T> input, RiscSqueeze.Options... options) Factory method to create a class wrapping a new RiscSqueeze operation.

Methods in org.tensorflow.op.risc that return types with arguments of type TType

Modifier and Type	Method and Description
Iterator<Operand<TType>>	RiscWhile.iterator()

Method parameters in org.tensorflow.op.risc with type arguments of type TType

Modifier and Type	Method and Description
static RiscReal<TFloat32>	RiscReal.create(Scope scope, Operand<? extends TType> input) Factory method to create a class wrapping a new RiscReal operation, with the default output types.
static RiscImag<TFloat32>	RiscImag.create(Scope scope, Operand<? extends TType> input) Factory method to create a class wrapping a new RiscImag operation, with the default output types.
static <U extends TNumber> RiscReal<U>	RiscReal.create(Scope scope, Operand<? extends TType> input, Class<U> Tout) Factory method to create a class wrapping a new RiscReal operation.
static <U extends TNumber> RiscImag<U>	RiscImag.create(Scope scope, Operand<? extends TType> input, Class<U> Tout) Factory method to create a class wrapping a new RiscImag operation.
static <U extends TType> RiscCast<U>	RiscCast.create(Scope scope, Operand<? extends TType> x, Class<U> DstT) Factory method to create a class wrapping a new RiscCast operation.
static <U extends TType> RiscBitcast<U>	RiscBitcast.create(Scope scope, Operand<? extends TType> x, Class<U> DstT) Factory method to create a class wrapping a new RiscBitcast operation.

Uses of TType in org.tensorflow.op.signal

Classes in org.tensorflow.op.signal with type parameters of type TType

Modifier and Type	Class and Description
class	Fft<T extends TType> Fast Fourier transform.
static class	Fft.Inputs<T extends TType>
class	Fft2d<T extends TType> 2D fast Fourier transform.
static class	Fft2d.Inputs<T extends TType>
class	Fft3d<T extends TType> 3D fast Fourier transform.
static class	Fft3d.Inputs<T extends TType>
class	Ifft<T extends TType> Inverse fast Fourier transform.
static class	Ifft.Inputs<T extends TType>
class	Ifft2d<T extends TType> Inverse 2D fast Fourier transform.
static class	Ifft2d.Inputs<T extends TType>
class	Ifft3d<T extends TType> Inverse 3D fast Fourier transform.
static class	Ifft3d.Inputs<T extends TType>
class	Rfft<U extends TType> Real-valued fast Fourier transform.
class	Rfft2d<U extends TType> 2D real-valued fast Fourier transform.
class	Rfft3d<U extends TType> 3D real-valued fast Fourier transform.

Fields in org.tensorflow.op.signal with type parameters of type TType

Modifier and Type	Field and Description
Operand<? extends TType>	Irfft3d.Inputs.input A complex tensor.
Operand<? extends TType>	Irfft2d.Inputs.input A complex tensor.
Operand<? extends TType>	Irfft.Inputs.input A complex tensor.
Operand<? extends TType>	BatchIfft3d.Inputs.input The input input
Operand<? extends TType>	BatchIfft2d.Inputs.input The input input
Operand<? extends TType>	BatchIfft.Inputs.input The input input
Operand<? extends TType>	BatchFft3d.Inputs.input The input input
Operand<? extends TType>	BatchFft2d.Inputs.input The input input
Operand<? extends TType>	BatchFft.Inputs.input The input input

Methods in org.tensorflow.op.signal with type parameters of type TType

Modifier and Type	Method and Description
static <U extends TType> Rfft3d<U>	Rfft3d.create(Scope scope, Operand<? extends TNumber> input, Operand<TInt32> fftLength, Class<U> Tcomplex) Factory method to create a class wrapping a new RFFT3D operation.
static <U extends TType> Rfft2d<U>	Rfft2d.create(Scope scope, Operand<? extends TNumber> input, Operand<TInt32> fftLength, Class<U> Tcomplex) Factory method to create a class wrapping a new RFFT2D operation.
static <U extends TType> Rfft<U>	Rfft.create(Scope scope, Operand<? extends TNumber> input, Operand<TInt32> fftLength, Class<U> Tcomplex) Factory method to create a class wrapping a new RFFT operation.
static <T extends TType> Ifft3d<T>	Ifft3d.create(Scope scope, Operand<T> input) Factory method to create a class wrapping a new IFFT3D operation.
static <T extends TType> Ifft2d<T>	Ifft2d.create(Scope scope, Operand<T> input) Factory method to create a class wrapping a new IFFT2D operation.
static <T extends TType> Ifft<T>	Ifft.create(Scope scope, Operand<T> input) Factory method to create a class wrapping a new IFFT operation.
static <T extends TType> Fft3d<T>	Fft3d.create(Scope scope, Operand<T> input) Factory method to create a class wrapping a new FFT3D operation.
static <T extends TType> Fft2d<T>	Fft2d.create(Scope scope, Operand<T> input) Factory method to create a class wrapping a new FFT2D operation.
static <T extends TType> Fft<T>	Fft.create(Scope scope, Operand<T> input) Factory method to create a class wrapping a new FFT operation.

Methods in org.tensorflow.op.signal that return types with arguments of type TType

Modifier and Type	Method and Description
Output<TType>	BatchIfft3d.asOutput()
Output<TType>	BatchIfft2d.asOutput()
Output<TType>	BatchIfft.asOutput()
Output<TType>	BatchFft3d.asOutput()
Output<TType>	BatchFft2d.asOutput()
Output<TType>	BatchFft.asOutput()
Output<? extends TType>	BatchIfft3d.output() Gets output.
Output<? extends TType>	BatchIfft2d.output() Gets output.
Output<? extends TType>	BatchIfft.output() Gets output.
Output<? extends TType>	BatchFft3d.output() Gets output.
Output<? extends TType>	BatchFft2d.output() Gets output.
Output<? extends TType>	BatchFft.output() Gets output.

Method parameters in org.tensorflow.op.signal with type arguments of type TType

Modifier and Type	Method and Description
static BatchIfft3d	BatchIfft3d.create(Scope scope, Operand<? extends TType> input) Factory method to create a class wrapping a new BatchIFFT3D operation.
static BatchIfft2d	BatchIfft2d.create(Scope scope, Operand<? extends TType> input) Factory method to create a class wrapping a new BatchIFFT2D operation.
static BatchIfft	BatchIfft.create(Scope scope, Operand<? extends TType> input) Factory method to create a class wrapping a new BatchIFFT operation.
static BatchFft3d	BatchFft3d.create(Scope scope, Operand<? extends TType> input) Factory method to create a class wrapping a new BatchFFT3D operation.
static BatchFft2d	BatchFft2d.create(Scope scope, Operand<? extends TType> input) Factory method to create a class wrapping a new BatchFFT2D operation.
static BatchFft	BatchFft.create(Scope scope, Operand<? extends TType> input) Factory method to create a class wrapping a new BatchFFT operation.
static Irfft3d<TFloat32>	Irfft3d.create(Scope scope, Operand<? extends TType> input, Operand<TInt32> fftLength) Factory method to create a class wrapping a new IRFFT3D operation, with the default output types.
static Irfft2d<TFloat32>	Irfft2d.create(Scope scope, Operand<? extends TType> input, Operand<TInt32> fftLength) Factory method to create a class wrapping a new IRFFT2D operation, with the default output types.
static Irfft<TFloat32>	Irfft.create(Scope scope, Operand<? extends TType> input, Operand<TInt32> fftLength) Factory method to create a class wrapping a new IRFFT operation, with the default output types.
static <U extends TNumber> Irfft3d<U>	Irfft3d.create(Scope scope, Operand<? extends TType> input, Operand<TInt32> fftLength, Class<U> Treal) Factory method to create a class wrapping a new IRFFT3D operation.
static <U extends TNumber> Irfft2d<U>	Irfft2d.create(Scope scope, Operand<? extends TType> input, Operand<TInt32> fftLength, Class<U> Treal) Factory method to create a class wrapping a new IRFFT2D operation.
static <U extends TNumber> Irfft<U>	Irfft.create(Scope scope, Operand<? extends TType> input, Operand<TInt32> fftLength, Class<U> Treal) Factory method to create a class wrapping a new IRFFT operation.

Uses of TType in org.tensorflow.op.sparse

Classes in org.tensorflow.op.sparse with type parameters of type TType

Modifier and Type	Class and Description
class	DenseToDenseSetOperation<T extends TType> Applies set operation along last dimension of 2 Tensor inputs.
static class	DenseToDenseSetOperation.Inputs<T extends TType>
class	DenseToSparseSetOperation<T extends TType> Applies set operation along last dimension of Tensor and SparseTensor.
static class	DenseToSparseSetOperation.Inputs<T extends TType>
class	DeserializeSparse<U extends TType> Deserialize SparseTensor objects.
class	SparseAccumulatorTakeGradient<T extends TType> Extracts the average sparse gradient in a SparseConditionalAccumulator.
class	SparseAdd<T extends TType> Adds two SparseTensor objects to produce another SparseTensor.
static class	SparseAdd.Inputs<T extends TType>
class	SparseAddGrad<T extends TType> The gradient operator for the SparseAdd op.
static class	SparseAddGrad.Inputs<T extends TType>
class	SparseConcat<T extends TType> Concatenates a list of SparseTensor along the specified dimension.
static class	SparseConcat.Inputs<T extends TType>
class	SparseDenseCwiseAdd<T extends TType> 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.
static class	SparseDenseCwiseAdd.Inputs<T extends TType>
class	SparseDenseCwiseDiv<T extends TType> Component-wise divides a SparseTensor by a dense Tensor.
static class	SparseDenseCwiseDiv.Inputs<T extends TType>
class	SparseDenseCwiseMul<T extends TType> Component-wise multiplies a SparseTensor by a dense Tensor.
static class	SparseDenseCwiseMul.Inputs<T extends TType>
class	SparseFillEmptyRows<T extends TType> Fills empty rows in the input 2-D SparseTensor with a default value.
static class	SparseFillEmptyRows.Inputs<T extends TType>
class	SparseFillEmptyRowsGrad<T extends TType> The gradient of SparseFillEmptyRows.
static class	SparseFillEmptyRowsGrad.Inputs<T extends TType>
class	SparseReduceSum<T extends TType> Computes the sum of elements across dimensions of a SparseTensor.
static class	SparseReduceSum.Inputs<T extends TType>
class	SparseReduceSumSparse<T extends TType> Computes the sum of elements across dimensions of a SparseTensor.
static class	SparseReduceSumSparse.Inputs<T extends TType>
class	SparseReorder<T extends TType> Reorders a SparseTensor into the canonical, row-major ordering.
static class	SparseReorder.Inputs<T extends TType>
class	SparseSlice<T extends TType> Slice a SparseTensor based on the start and size.
static class	SparseSlice.Inputs<T extends TType>
class	SparseSliceGrad<T extends TType> The gradient operator for the SparseSlice op.
static class	SparseSliceGrad.Inputs<T extends TType>
class	SparseSparseMinimum<T extends TType> Returns the element-wise min of two SparseTensors.
static class	SparseSparseMinimum.Inputs<T extends TType>
class	SparseSplit<T extends TType> Split a SparseTensor into num_split tensors along one dimension.
static class	SparseSplit.Inputs<T extends TType>
class	SparseTensorDenseAdd<U extends TType> Adds up a SparseTensor and a dense Tensor, producing a dense Tensor.
static class	SparseTensorDenseAdd.Inputs<T extends TNumber,U extends TType>
class	SparseTensorDenseMatMul<U extends TType> Multiply SparseTensor (of rank 2) "A" by dense matrix "B".
static class	SparseTensorDenseMatMul.Inputs<U extends TType>
class	SparseToDense<U extends TType> Converts a sparse representation into a dense tensor.
static class	SparseToDense.Inputs<T extends TNumber,U extends TType>
class	SparseToSparseSetOperation<T extends TType> Applies set operation along last dimension of 2 SparseTensor inputs.
static class	SparseToSparseSetOperation.Inputs<T extends TType>
class	TakeManySparseFromTensorsMap<T extends TType> Read SparseTensors from a SparseTensorsMap and concatenate them.

Fields in org.tensorflow.op.sparse with type parameters of type TType

Modifier and Type	Field and Description
Operand<? extends TType>	SparseAccumulatorApplyGradient.Inputs.gradientValues 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.
Operand<? extends TType>	DeserializeSparse.Inputs.serializedSparse The serialized SparseTensor objects.
Operand<? extends TType>	AddSparseToTensorsMap.Inputs.sparseValues 1-D.
Operand<? extends TType>	AddManySparseToTensorsMap.Inputs.sparseValues 1-D.

Methods in org.tensorflow.op.sparse with type parameters of type TType

Modifier and Type	Method and Description
static <T extends TType> SparseConditionalAccumulator	SparseConditionalAccumulator.create(Scope scope, Class<T> dtype, org.tensorflow.ndarray.Shape shape, SparseConditionalAccumulator.Options... options) Factory method to create a class wrapping a new SparseConditionalAccumulator operation.
static <T extends TType> SparseConcat<T>	SparseConcat.create(Scope scope, Iterable<Operand<TInt64>> indices, Iterable<Operand<T>> values, Iterable<Operand<TInt64>> shapes, Long concatDim) Factory method to create a class wrapping a new SparseConcat operation.
static <U extends TType> SparseTensorDenseMatMul<U>	SparseTensorDenseMatMul.create(Scope scope, Operand<? extends TNumber> aIndices, Operand<U> aValues, Operand<TInt64> aShape, Operand<U> b, SparseTensorDenseMatMul.Options... options) Factory method to create a class wrapping a new SparseTensorDenseMatMul operation.
static <U extends TType> DeserializeSparse<U>	DeserializeSparse.create(Scope scope, Operand<? extends TType> serializedSparse, Class<U> dtype) Factory method to create a class wrapping a new DeserializeSparse operation.
static <U extends TType,T extends TNumber> SparseToDense<U>	SparseToDense.create(Scope scope, Operand<T> sparseIndices, Operand<T> outputShape, Operand<U> sparseValues, Operand<U> defaultValue, SparseToDense.Options... options) Factory method to create a class wrapping a new SparseToDense operation.
static <T extends TType> DenseToDenseSetOperation<T>	DenseToDenseSetOperation.create(Scope scope, Operand<T> set1, Operand<T> set2, String setOperation, DenseToDenseSetOperation.Options... options) Factory method to create a class wrapping a new DenseToDenseSetOperation operation.
static <T extends TType> DenseToSparseSetOperation<T>	DenseToSparseSetOperation.create(Scope scope, Operand<T> set1, Operand<TInt64> set2Indices, Operand<T> set2Values, Operand<TInt64> set2Shape, String setOperation, DenseToSparseSetOperation.Options... options) Factory method to create a class wrapping a new DenseToSparseSetOperation operation.
static <T extends TType> SparseSliceGrad<T>	SparseSliceGrad.create(Scope scope, Operand<T> backpropValGrad, Operand<TInt64> inputIndices, Operand<TInt64> inputStart, Operand<TInt64> outputIndices) Factory method to create a class wrapping a new SparseSliceGrad operation.
static <T extends TType> SparseAddGrad<T>	SparseAddGrad.create(Scope scope, Operand<T> backpropValGrad, Operand<TInt64> aIndices, Operand<TInt64> bIndices, Operand<TInt64> sumIndices) Factory method to create a class wrapping a new SparseAddGrad operation.
static <U extends TType,T extends TNumber> SparseTensorDenseAdd<U>	SparseTensorDenseAdd.create(Scope scope, Operand<T> aIndices, Operand<U> aValues, Operand<T> aShape, Operand<U> b) Factory method to create a class wrapping a new SparseTensorDenseAdd operation.
static <T extends TType> TakeManySparseFromTensorsMap<T>	TakeManySparseFromTensorsMap.create(Scope scope, Operand<TInt64> sparseHandles, Class<T> dtype, TakeManySparseFromTensorsMap.Options... options) Factory method to create a class wrapping a new TakeManySparseFromTensorsMap operation.
static <T extends TType> SparseFillEmptyRowsGrad<T>	SparseFillEmptyRowsGrad.create(Scope scope, Operand<TInt64> reverseIndexMap, Operand<T> gradValues) Factory method to create a class wrapping a new SparseFillEmptyRowsGrad operation.
static <T extends TType> SparseReorder<T>	SparseReorder.create(Scope scope, Operand<TInt64> inputIndices, Operand<T> inputValues, Operand<TInt64> inputShape) Factory method to create a class wrapping a new SparseReorder operation.
static <T extends TType> SparseFillEmptyRows<T>	SparseFillEmptyRows.create(Scope scope, Operand<TInt64> indices, Operand<T> values, Operand<TInt64> denseShape, Operand<T> defaultValue) Factory method to create a class wrapping a new SparseFillEmptyRows operation.
static <T extends TType> SparseDenseCwiseMul<T>	SparseDenseCwiseMul.create(Scope scope, Operand<TInt64> spIndices, Operand<T> spValues, Operand<TInt64> spShape, Operand<T> dense) Factory method to create a class wrapping a new SparseDenseCwiseMul operation.
static <T extends TType> SparseDenseCwiseDiv<T>	SparseDenseCwiseDiv.create(Scope scope, Operand<TInt64> spIndices, Operand<T> spValues, Operand<TInt64> spShape, Operand<T> dense) Factory method to create a class wrapping a new SparseDenseCwiseDiv operation.
static <T extends TType> SparseDenseCwiseAdd<T>	SparseDenseCwiseAdd.create(Scope scope, Operand<TInt64> spIndices, Operand<T> spValues, Operand<TInt64> spShape, Operand<T> dense) Factory method to create a class wrapping a new SparseDenseCwiseAdd operation.
static <T extends TType> SparseReduceSum<T>	SparseReduceSum.create(Scope scope, Operand<TInt64> inputIndices, Operand<T> inputValues, Operand<TInt64> inputShape, Operand<TInt32> reductionAxes, SparseReduceSum.Options... options) Factory method to create a class wrapping a new SparseReduceSum operation.
static <T extends TType> SparseReduceSumSparse<T>	SparseReduceSumSparse.create(Scope scope, Operand<TInt64> inputIndices, Operand<T> inputValues, Operand<TInt64> inputShape, Operand<TInt32> reductionAxes, SparseReduceSumSparse.Options... options) Factory method to create a class wrapping a new SparseReduceSumSparse operation.
static <T extends TType> SparseSparseMinimum<T>	SparseSparseMinimum.create(Scope scope, Operand<TInt64> aIndices, Operand<T> aValues, Operand<TInt64> aShape, Operand<TInt64> bIndices, Operand<T> bValues, Operand<TInt64> bShape) Factory method to create a class wrapping a new SparseSparseMinimum operation.
static <T extends TType> SparseAdd<T>	SparseAdd.create(Scope scope, Operand<TInt64> aIndices, Operand<T> aValues, Operand<TInt64> aShape, Operand<TInt64> bIndices, Operand<T> bValues, Operand<TInt64> bShape, Operand<? extends TNumber> thresh) Factory method to create a class wrapping a new SparseAdd operation.
static <T extends TType> SparseToSparseSetOperation<T>	SparseToSparseSetOperation.create(Scope scope, Operand<TInt64> set1Indices, Operand<T> set1Values, Operand<TInt64> set1Shape, Operand<TInt64> set2Indices, Operand<T> set2Values, Operand<TInt64> set2Shape, String setOperation, SparseToSparseSetOperation.Options... options) Factory method to create a class wrapping a new SparseToSparseSetOperation operation.
static <T extends TType> SparseSlice<T>	SparseSlice.create(Scope scope, Operand<TInt64> indices, Operand<T> values, Operand<TInt64> shape, Operand<TInt64> start, Operand<TInt64> sizeOutput) Factory method to create a class wrapping a new SparseSlice operation.
static <T extends TType> SparseSplit<T>	SparseSplit.create(Scope scope, Operand<TInt64> splitDim, Operand<TInt64> indices, Operand<T> values, Operand<TInt64> shape, Long numSplit) Factory method to create a class wrapping a new SparseSplit operation.
static <T extends TType> SparseAccumulatorTakeGradient<T>	SparseAccumulatorTakeGradient.create(Scope scope, Operand<TString> handle, Operand<TInt32> numRequired, Class<T> dtype) Factory method to create a class wrapping a new SparseAccumulatorTakeGradient operation.

Method parameters in org.tensorflow.op.sparse with type arguments of type TType

Modifier and Type	Method and Description
static <U extends TType> DeserializeSparse<U>	DeserializeSparse.create(Scope scope, Operand<? extends TType> serializedSparse, Class<U> dtype) Factory method to create a class wrapping a new DeserializeSparse operation.
static AddManySparseToTensorsMap	AddManySparseToTensorsMap.create(Scope scope, Operand<TInt64> sparseIndices, Operand<? extends TType> sparseValues, Operand<TInt64> sparseShape, AddManySparseToTensorsMap.Options... options) Factory method to create a class wrapping a new AddManySparseToTensorsMap operation.
static AddSparseToTensorsMap	AddSparseToTensorsMap.create(Scope scope, Operand<TInt64> sparseIndices, Operand<? extends TType> sparseValues, Operand<TInt64> sparseShape, AddSparseToTensorsMap.Options... options) Factory method to create a class wrapping a new AddSparseToTensorsMap operation.
static SparseAccumulatorApplyGradient	SparseAccumulatorApplyGradient.create(Scope scope, Operand<TString> handle, Operand<TInt64> localStep, Operand<TInt64> gradientIndices, Operand<? extends TType> gradientValues, Operand<TInt64> gradientShape, Boolean hasKnownShape) Factory method to create a class wrapping a new SparseAccumulatorApplyGradient operation.

Uses of TType in org.tensorflow.op.summary

Fields in org.tensorflow.op.summary with type parameters of type TType

Modifier and Type	Field and Description
Operand<? extends TType>	StatsAggregatorSummary.Inputs.iterator The iterator input
Operand<? extends TType>	WriteSummary.Inputs.tensor The tensor input
Operand<? extends TType>	TensorSummary.Inputs.tensor A tensor to serialize.
Operand<? extends TType>	WriteHistogramSummary.Inputs.values The values input
Operand<? extends TType>	WriteSummary.Inputs.writer The writer input
Operand<? extends TType>	WriteScalarSummary.Inputs.writer The writer input
Operand<? extends TType>	WriteRawProtoSummary.Inputs.writer The writer input
Operand<? extends TType>	WriteImageSummary.Inputs.writer The writer input
Operand<? extends TType>	WriteHistogramSummary.Inputs.writer The writer input
Operand<? extends TType>	WriteGraphSummary.Inputs.writer The writer input
Operand<? extends TType>	WriteAudioSummary.Inputs.writer The writer input
Operand<? extends TType>	ImportEvent.Inputs.writer The writer input
Operand<? extends TType>	FlushSummaryWriter.Inputs.writer The writer input
Operand<? extends TType>	CreateSummaryFileWriter.Inputs.writer The writer input
Operand<? extends TType>	CreateSummaryDbWriter.Inputs.writer The writer input
Operand<? extends TType>	CloseSummaryWriter.Inputs.writer The writer input

Methods in org.tensorflow.op.summary that return types with arguments of type TType

Modifier and Type	Method and Description
Output<TType>	SummaryWriter.asOutput()
Output<? extends TType>	SummaryWriter.writer() Gets writer.

Method parameters in org.tensorflow.op.summary with type arguments of type TType

Modifier and Type	Method and Description
static StatsAggregatorSummary	StatsAggregatorSummary.create(Scope scope, Operand<? extends TType> iterator) Factory method to create a class wrapping a new StatsAggregatorSummary operation.
static FlushSummaryWriter	FlushSummaryWriter.create(Scope scope, Operand<? extends TType> writer) Factory method to create a class wrapping a new FlushSummaryWriter operation.
static CloseSummaryWriter	CloseSummaryWriter.create(Scope scope, Operand<? extends TType> writer) Factory method to create a class wrapping a new CloseSummaryWriter operation.
static WriteSummary	WriteSummary.create(Scope scope, Operand<? extends TType> writer, Operand<TInt64> step, Operand<? extends TType> tensor, Operand<TString> tag, Operand<TString> summaryMetadata) Factory method to create a class wrapping a new WriteSummary operation.
static WriteSummary	WriteSummary.create(Scope scope, Operand<? extends TType> writer, Operand<TInt64> step, Operand<? extends TType> tensor, Operand<TString> tag, Operand<TString> summaryMetadata) Factory method to create a class wrapping a new WriteSummary operation.
static WriteRawProtoSummary	WriteRawProtoSummary.create(Scope scope, Operand<? extends TType> writer, Operand<TInt64> step, Operand<TString> tensor) Factory method to create a class wrapping a new WriteRawProtoSummary operation.
static WriteGraphSummary	WriteGraphSummary.create(Scope scope, Operand<? extends TType> writer, Operand<TInt64> step, Operand<TString> tensor) Factory method to create a class wrapping a new WriteGraphSummary operation.
static WriteScalarSummary	WriteScalarSummary.create(Scope scope, Operand<? extends TType> writer, Operand<TInt64> step, Operand<TString> tag, Operand<? extends TNumber> value) Factory method to create a class wrapping a new WriteScalarSummary operation.
static WriteImageSummary	WriteImageSummary.create(Scope scope, Operand<? extends TType> writer, Operand<TInt64> step, Operand<TString> tag, Operand<? extends TNumber> tensor, Operand<TUint8> badColor, WriteImageSummary.Options... options) Factory method to create a class wrapping a new WriteImageSummary operation.
static WriteHistogramSummary	WriteHistogramSummary.create(Scope scope, Operand<? extends TType> writer, Operand<TInt64> step, Operand<TString> tag, Operand<? extends TType> values) Factory method to create a class wrapping a new WriteHistogramSummary operation.
static WriteHistogramSummary	WriteHistogramSummary.create(Scope scope, Operand<? extends TType> writer, Operand<TInt64> step, Operand<TString> tag, Operand<? extends TType> values) Factory method to create a class wrapping a new WriteHistogramSummary operation.
static WriteAudioSummary	WriteAudioSummary.create(Scope scope, Operand<? extends TType> writer, Operand<TInt64> step, Operand<TString> tag, Operand<TFloat32> tensor, Operand<TFloat32> sampleRate, WriteAudioSummary.Options... options) Factory method to create a class wrapping a new WriteAudioSummary operation.
static ImportEvent	ImportEvent.create(Scope scope, Operand<? extends TType> writer, Operand<TString> event) Factory method to create a class wrapping a new ImportEvent operation.
static CreateSummaryFileWriter	CreateSummaryFileWriter.create(Scope scope, Operand<? extends TType> writer, Operand<TString> logdir, Operand<TInt32> maxQueue, Operand<TInt32> flushMillis, Operand<TString> filenameSuffix) Factory method to create a class wrapping a new CreateSummaryFileWriter operation.
static CreateSummaryDbWriter	CreateSummaryDbWriter.create(Scope scope, Operand<? extends TType> writer, Operand<TString> dbUri, Operand<TString> experimentName, Operand<TString> runName, Operand<TString> userName) Factory method to create a class wrapping a new CreateSummaryDbWriter operation.
static TensorSummary	TensorSummary.create(Scope scope, Operand<TString> tag, Operand<? extends TType> tensor, Operand<TString> serializedSummaryMetadata) Factory method to create a class wrapping a new TensorSummaryV2 operation.

Uses of TType in org.tensorflow.op.tpu

Classes in org.tensorflow.op.tpu with type parameters of type TType

Modifier and Type	Class and Description
class	AllToAll<T extends TType> An Op to exchange data across TPU replicas.
static class	AllToAll.Inputs<T extends TType>
class	InfeedDequeue<T extends TType> A placeholder op for a value that will be fed into the computation.
class	OutfeedDequeue<T extends TType> Retrieves a single tensor from the computation outfeed.
class	OutfeedDequeueV2<T extends TType> Retrieves a single tensor from the computation outfeed.
class	PartitionedInput<T extends TType> An op that groups a list of partitioned inputs together.
static class	PartitionedInput.Inputs<T extends TType>
class	PartitionedOutput<T extends TType> An op that demultiplexes a tensor to be sharded by XLA to a list of partitioned outputs outside the XLA computation.
static class	PartitionedOutput.Inputs<T extends TType>
class	ReplicatedInput<T extends TType> Connects N inputs to an N-way replicated TPU computation.
static class	ReplicatedInput.Inputs<T extends TType>
class	ReplicatedOutput<T extends TType> Connects N outputs from an N-way replicated TPU computation.
static class	ReplicatedOutput.Inputs<T extends TType>
class	TPUReplicatedInput<T extends TType> Deprecated. use ReplicatedInput instead
static class	TPUReplicatedInput.Inputs<T extends TType> Deprecated.
class	TPUReplicatedOutput<T extends TType> Deprecated. use ReplicatedOutput instead
static class	TPUReplicatedOutput.Inputs<T extends TType> Deprecated.

Fields in org.tensorflow.op.tpu with type parameters of type TType

Modifier and Type	Field and Description
Operand<? extends TType>	TPUReshardVariables.Inputs.formatStateVar The formatStateVar input
Operand<? extends TType>	Prelinearize.Inputs.input A tensor that will be linearized.
Operand<? extends TType>	OutfeedEnqueue.Inputs.input A tensor that will be inserted into the outfeed queue.
Operand<? extends TType>	InfeedEnqueuePrelinearizedBuffer.Inputs.input A variant tensor representing linearized output.
Operand<? extends TType>	InfeedEnqueue.Inputs.input A tensor that will be provided using the infeed mechanism.
Iterable<Operand<? extends TType>>	TPUReshardVariables.Inputs.vars The vars input

Methods in org.tensorflow.op.tpu with type parameters of type TType

Modifier and Type	Method and Description
static <T extends TType> InfeedDequeue<T>	InfeedDequeue.create(Scope scope, Class<T> dtype, org.tensorflow.ndarray.Shape shape) Factory method to create a class wrapping a new InfeedDequeue operation.
static <T extends TType> OutfeedDequeue<T>	OutfeedDequeue.create(Scope scope, Class<T> dtype, org.tensorflow.ndarray.Shape shape, OutfeedDequeue.Options... options) Factory method to create a class wrapping a new OutfeedDequeue operation.
static <T extends TType> PartitionedInput<T>	PartitionedInput.create(Scope scope, Iterable<Operand<T>> inputs, PartitionedInput.Options... options) Factory method to create a class wrapping a new TPUPartitionedInput operation.
static <T extends TType> ReplicatedInput<T>	ReplicatedInput.create(Scope scope, Iterable<Operand<T>> inputs, ReplicatedInput.Options... options) Factory method to create a class wrapping a new TPUReplicatedInput operation.
static <T extends TType> TPUReplicatedInput<T>	TPUReplicatedInput.create(Scope scope, Iterable<Operand<T>> inputs, TPUReplicatedInput.Options... options) Deprecated. Factory method to create a class wrapping a new TPUReplicatedInput operation.
static <T extends TType> TPUReplicatedOutput<T>	TPUReplicatedOutput.create(Scope scope, Operand<T> input, Long numReplicas) Deprecated. Factory method to create a class wrapping a new TPUReplicatedOutput operation.
static <T extends TType> ReplicatedOutput<T>	ReplicatedOutput.create(Scope scope, Operand<T> input, Long numReplicas) Factory method to create a class wrapping a new TPUReplicatedOutput operation.
static <T extends TType> PartitionedOutput<T>	PartitionedOutput.create(Scope scope, Operand<T> inputs, Long numSplits, PartitionedOutput.Options... options) Factory method to create a class wrapping a new TPUPartitionedOutput operation.
static <T extends TType> AllToAll<T>	AllToAll.create(Scope scope, Operand<T> input, Operand<TInt32> groupAssignment, Long concatDimension, Long splitDimension, Long splitCount) Factory method to create a class wrapping a new AllToAll operation.
static <T extends TType> OutfeedDequeueV2<T>	OutfeedDequeueV2.create(Scope scope, Operand<TInt32> deviceOrdinal, Class<T> dtype, org.tensorflow.ndarray.Shape shape) Factory method to create a class wrapping a new OutfeedDequeueV2 operation.

Methods in org.tensorflow.op.tpu that return types with arguments of type TType

Modifier and Type	Method and Description
Output<TType>	PrelinearizeTuple.asOutput()
Output<TType>	Prelinearize.asOutput()
Iterator<Operand<TType>>	PartitionedCall.iterator()
Iterator<Operand<TType>>	OutfeedDequeueTupleV2.iterator()
Iterator<Operand<TType>>	OutfeedDequeueTuple.iterator()
Iterator<Operand<TType>>	InfeedDequeueTuple.iterator()
Iterator<Operand<TType>>	ExecuteAndUpdateVariables.iterator()
Iterator<Operand<TType>>	Execute.iterator()
Output<? extends TType>	PrelinearizeTuple.output() Gets output.
Output<? extends TType>	Prelinearize.output() Gets output.

Method parameters in org.tensorflow.op.tpu with type arguments of type TType

Modifier and Type	Method and Description
static PartitionedCall	PartitionedCall.create(Scope scope, Iterable<Operand<?>> args, Operand<TInt32> deviceOrdinal, List<Class<? extends TType>> Tout, ConcreteFunction f, PartitionedCall.Options... options) Factory method to create a class wrapping a new TPUPartitionedCall operation.
static Execute	Execute.create(Scope scope, Iterable<Operand<?>> args, Operand<TString> key, List<Class<? extends TType>> Tresults) Factory method to create a class wrapping a new TPUExecute operation.
static ExecuteAndUpdateVariables	ExecuteAndUpdateVariables.create(Scope scope, Iterable<Operand<?>> args, Operand<TString> key, List<Class<? extends TType>> Tresults, List<Long> deviceVarReadsIndices, List<Long> deviceVarUpdatesIndices) Factory method to create a class wrapping a new TPUExecuteAndUpdateVariables operation.
static TPUReshardVariables	TPUReshardVariables.create(Scope scope, Iterable<Operand<? extends TType>> vars, Operand<TString> newFormatKey, Operand<? extends TType> formatStateVar) Factory method to create a class wrapping a new TPUReshardVariables operation.
static TPUReshardVariables	TPUReshardVariables.create(Scope scope, Iterable<Operand<? extends TType>> vars, Operand<TString> newFormatKey, Operand<? extends TType> formatStateVar) Factory method to create a class wrapping a new TPUReshardVariables operation.
static InfeedDequeueTuple	InfeedDequeueTuple.create(Scope scope, List<Class<? extends TType>> dtypes, List<org.tensorflow.ndarray.Shape> shapes) Factory method to create a class wrapping a new InfeedDequeueTuple operation.
static OutfeedDequeueTuple	OutfeedDequeueTuple.create(Scope scope, List<Class<? extends TType>> dtypes, List<org.tensorflow.ndarray.Shape> shapes, OutfeedDequeueTuple.Options... options) Factory method to create a class wrapping a new OutfeedDequeueTuple operation.
static OutfeedEnqueue	OutfeedEnqueue.create(Scope scope, Operand<? extends TType> input) Factory method to create a class wrapping a new OutfeedEnqueue operation.
static InfeedEnqueue	InfeedEnqueue.create(Scope scope, Operand<? extends TType> input, InfeedEnqueue.Options... options) Factory method to create a class wrapping a new InfeedEnqueue operation.
static InfeedEnqueuePrelinearizedBuffer	InfeedEnqueuePrelinearizedBuffer.create(Scope scope, Operand<? extends TType> input, InfeedEnqueuePrelinearizedBuffer.Options... options) Factory method to create a class wrapping a new InfeedEnqueuePrelinearizedBuffer operation.
static Prelinearize	Prelinearize.create(Scope scope, Operand<? extends TType> input, Prelinearize.Options... options) Factory method to create a class wrapping a new Prelinearize operation.
static OutfeedDequeueTupleV2	OutfeedDequeueTupleV2.create(Scope scope, Operand<TInt32> deviceOrdinal, List<Class<? extends TType>> dtypes, List<org.tensorflow.ndarray.Shape> shapes) Factory method to create a class wrapping a new OutfeedDequeueTupleV2 operation.

Uses of TType in org.tensorflow.op.train

Classes in org.tensorflow.op.train with type parameters of type TType

Modifier and Type	Class and Description
class	AccumulatorTakeGradient<T extends TType> Extracts the average gradient in the given ConditionalAccumulator.
class	ApplyAdadelta<T extends TType> Update '*var' according to the adadelta scheme.
static class	ApplyAdadelta.Inputs<T extends TType>
class	ApplyAdagrad<T extends TType> Update '*var' according to the adagrad scheme.
static class	ApplyAdagrad.Inputs<T extends TType>
class	ApplyAdagradDa<T extends TType> Update '*var' according to the proximal adagrad scheme.
static class	ApplyAdagradDa.Inputs<T extends TType>
class	ApplyAdagradV2<T extends TType> Update '*var' according to the adagrad scheme.
static class	ApplyAdagradV2.Inputs<T extends TType>
class	ApplyAdam<T extends TType> Update '*var' according to the Adam algorithm.
static class	ApplyAdam.Inputs<T extends TType>
class	ApplyAdaMax<T extends TType> Update '*var' according to the AdaMax algorithm.
static class	ApplyAdaMax.Inputs<T extends TType>
class	ApplyAddSign<T extends TType> Update '*var' according to the AddSign update.
static class	ApplyAddSign.Inputs<T extends TType>
class	ApplyCenteredRmsProp<T extends TType> Update '*var' according to the centered RMSProp algorithm.
static class	ApplyCenteredRmsProp.Inputs<T extends TType>
class	ApplyFtrl<T extends TType> Update '*var' according to the Ftrl-proximal scheme.
static class	ApplyFtrl.Inputs<T extends TType>
class	ApplyGradientDescent<T extends TType> Update '*var' by subtracting 'alpha' * 'delta' from it.
static class	ApplyGradientDescent.Inputs<T extends TType>
class	ApplyMomentum<T extends TType> Update '*var' according to the momentum scheme.
static class	ApplyMomentum.Inputs<T extends TType>
class	ApplyPowerSign<T extends TType> Update '*var' according to the AddSign update.
static class	ApplyPowerSign.Inputs<T extends TType>
class	ApplyProximalAdagrad<T extends TType> Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.
static class	ApplyProximalAdagrad.Inputs<T extends TType>
class	ApplyProximalGradientDescent<T extends TType> Update '*var' as FOBOS algorithm with fixed learning rate.
static class	ApplyProximalGradientDescent.Inputs<T extends TType>
class	ApplyRmsProp<T extends TType> Update '*var' according to the RMSProp algorithm.
static class	ApplyRmsProp.Inputs<T extends TType>
class	BatchMatMul<V extends TType> Multiplies slices of two tensors in batches.
class	PreventGradient<T extends TType> An identity op that triggers an error if a gradient is requested.
static class	PreventGradient.Inputs<T extends TType>
class	ResourceAccumulatorTakeGradient<T extends TType> Extracts the average gradient in the given ConditionalAccumulator.
static class	ResourceApplyAdadelta.Inputs<T extends TType>
static class	ResourceApplyAdagrad.Inputs<T extends TType>
static class	ResourceApplyAdagradDa.Inputs<T extends TType>
static class	ResourceApplyAdam.Inputs<T extends TType>
static class	ResourceApplyAdaMax.Inputs<T extends TType>
static class	ResourceApplyAdamWithAmsgrad.Inputs<T extends TType>
static class	ResourceApplyAddSign.Inputs<T extends TType>
static class	ResourceApplyCenteredRmsProp.Inputs<T extends TType>
static class	ResourceApplyFtrl.Inputs<T extends TType>
static class	ResourceApplyGradientDescent.Inputs<T extends TType>
static class	ResourceApplyKerasMomentum.Inputs<T extends TType>
static class	ResourceApplyMomentum.Inputs<T extends TType>
static class	ResourceApplyPowerSign.Inputs<T extends TType>
static class	ResourceApplyProximalAdagrad.Inputs<T extends TType>
static class	ResourceApplyProximalGradientDescent.Inputs<T extends TType>
static class	ResourceApplyRmsProp.Inputs<T extends TType>
static class	ResourceSparseApplyAdadelta.Inputs<T extends TType>
static class	ResourceSparseApplyAdagrad.Inputs<T extends TType>
static class	ResourceSparseApplyAdagradDa.Inputs<T extends TType>
static class	ResourceSparseApplyAdagradV2.Inputs<T extends TType>
static class	ResourceSparseApplyCenteredRmsProp.Inputs<T extends TType>
static class	ResourceSparseApplyFtrl.Inputs<T extends TType>
static class	ResourceSparseApplyKerasMomentum.Inputs<T extends TType>
static class	ResourceSparseApplyMomentum.Inputs<T extends TType>
static class	ResourceSparseApplyProximalAdagrad.Inputs<T extends TType>
static class	ResourceSparseApplyProximalGradientDescent.Inputs<T extends TType>
static class	ResourceSparseApplyRmsProp.Inputs<T extends TType>
class	RestoreSlice<T extends TType> Restores a tensor from checkpoint files.
class	SparseApplyAdadelta<T extends TType> var: Should be from a Variable().
static class	SparseApplyAdadelta.Inputs<T extends TType>
class	SparseApplyAdagrad<T extends TType> Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
static class	SparseApplyAdagrad.Inputs<T extends TType>
class	SparseApplyAdagradDa<T extends TType> Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
static class	SparseApplyAdagradDa.Inputs<T extends TType>
class	SparseApplyCenteredRmsProp<T extends TType> Update '*var' according to the centered RMSProp algorithm.
static class	SparseApplyCenteredRmsProp.Inputs<T extends TType>
class	SparseApplyFtrl<T extends TType> Update relevant entries in '*var' according to the Ftrl-proximal scheme.
static class	SparseApplyFtrl.Inputs<T extends TType>
class	SparseApplyMomentum<T extends TType> Update relevant entries in '*var' and '*accum' according to the momentum scheme.
static class	SparseApplyMomentum.Inputs<T extends TType>
class	SparseApplyProximalAdagrad<T extends TType> Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
static class	SparseApplyProximalAdagrad.Inputs<T extends TType>
class	SparseApplyProximalGradientDescent<T extends TType> Sparse update '*var' as FOBOS algorithm with fixed learning rate.
static class	SparseApplyProximalGradientDescent.Inputs<T extends TType>
class	SparseApplyRmsProp<T extends TType> Update '*var' according to the RMSProp algorithm.
static class	SparseApplyRmsProp.Inputs<T extends TType>
class	TileGrad<T extends TType> Returns the gradient of Tile.
static class	TileGrad.Inputs<T extends TType>

Fields in org.tensorflow.op.train with type parameters of type TType

Modifier and Type	Field and Description
Operand<? extends TType>	ResourceSparseApplyProximalAdagrad.Inputs.accum Should be from a Variable().
Operand<? extends TType>	ResourceSparseApplyMomentum.Inputs.accum Should be from a Variable().
Operand<? extends TType>	ResourceSparseApplyKerasMomentum.Inputs.accum Should be from a Variable().
Operand<? extends TType>	ResourceSparseApplyFtrl.Inputs.accum Should be from a Variable().
Operand<? extends TType>	ResourceSparseApplyAdagradV2.Inputs.accum Should be from a Variable().
Operand<? extends TType>	ResourceSparseApplyAdagrad.Inputs.accum Should be from a Variable().
Operand<? extends TType>	ResourceSparseApplyAdadelta.Inputs.accum Should be from a Variable().
Operand<? extends TType>	ResourceApplyProximalAdagrad.Inputs.accum Should be from a Variable().
Operand<? extends TType>	ResourceApplyMomentum.Inputs.accum Should be from a Variable().
Operand<? extends TType>	ResourceApplyKerasMomentum.Inputs.accum Should be from a Variable().
Operand<? extends TType>	ResourceApplyFtrl.Inputs.accum Should be from a Variable().
Operand<? extends TType>	ResourceApplyAdagrad.Inputs.accum Should be from a Variable().
Operand<? extends TType>	ResourceApplyAdadelta.Inputs.accum Should be from a Variable().
Operand<? extends TType>	ResourceSparseApplyAdadelta.Inputs.accumUpdate : Should be from a Variable().
Operand<? extends TType>	ResourceApplyAdadelta.Inputs.accumUpdate Should be from a Variable().
Operand<? extends TType>	ResourceAccumulatorApplyGradient.Inputs.gradient A tensor of the gradient to be accumulated.
Operand<? extends TType>	AccumulatorApplyGradient.Inputs.gradient A tensor of the gradient to be accumulated.
Operand<? extends TType>	ResourceSparseApplyAdagradDa.Inputs.gradientAccumulator Should be from a Variable().
Operand<? extends TType>	ResourceApplyAdagradDa.Inputs.gradientAccumulator Should be from a Variable().
Operand<? extends TType>	ResourceSparseApplyAdagradDa.Inputs.gradientSquaredAccumulator Should be from a Variable().
Operand<? extends TType>	ResourceApplyAdagradDa.Inputs.gradientSquaredAccumulator Should be from a Variable().
Operand<? extends TType>	ResourceAccumulatorTakeGradient.Inputs.handle The handle to an accumulator.
Operand<? extends TType>	ResourceAccumulatorSetGlobalStep.Inputs.handle The handle to an accumulator.
Operand<? extends TType>	ResourceAccumulatorNumAccumulated.Inputs.handle The handle to an accumulator.
Operand<? extends TType>	ResourceAccumulatorApplyGradient.Inputs.handle The handle to a accumulator.
Operand<? extends TType>	ComputeBatchSize.Inputs.inputDataset The inputDataset input
Operand<? extends TType>	ResourceSparseApplyFtrl.Inputs.linear Should be from a Variable().
Operand<? extends TType>	ResourceApplyFtrl.Inputs.linear Should be from a Variable().
Operand<? extends TType>	ResourceApplyPowerSign.Inputs.m Should be from a Variable().
Operand<? extends TType>	ResourceApplyAddSign.Inputs.m Should be from a Variable().
Operand<? extends TType>	ResourceApplyAdamWithAmsgrad.Inputs.m Should be from a Variable().
Operand<? extends TType>	ResourceApplyAdam.Inputs.m Should be from a Variable().
Operand<? extends TType>	ResourceApplyAdaMax.Inputs.m Should be from a Variable().
Operand<? extends TType>	ResourceSparseApplyCenteredRmsProp.Inputs.mg Should be from a Variable().
Operand<? extends TType>	ResourceApplyCenteredRmsProp.Inputs.mg Should be from a Variable().
Operand<? extends TType>	ResourceSparseApplyRmsProp.Inputs.mom Should be from a Variable().
Operand<? extends TType>	ResourceSparseApplyCenteredRmsProp.Inputs.mom Should be from a Variable().
Operand<? extends TType>	ResourceApplyRmsProp.Inputs.mom Should be from a Variable().
Operand<? extends TType>	ResourceApplyCenteredRmsProp.Inputs.mom Should be from a Variable().
Operand<? extends TType>	ResourceSparseApplyRmsProp.Inputs.ms Should be from a Variable().
Operand<? extends TType>	ResourceSparseApplyCenteredRmsProp.Inputs.ms Should be from a Variable().
Operand<? extends TType>	ResourceApplyRmsProp.Inputs.ms Should be from a Variable().
Operand<? extends TType>	ResourceApplyCenteredRmsProp.Inputs.ms Should be from a Variable().
Operand<? extends TType>	ResourceApplyAdamWithAmsgrad.Inputs.v Should be from a Variable().
Operand<? extends TType>	ResourceApplyAdam.Inputs.v Should be from a Variable().
Operand<? extends TType>	ResourceApplyAdaMax.Inputs.v Should be from a Variable().
Operand<? extends TType>	ResourceSparseApplyRmsProp.Inputs.var Should be from a Variable().
Operand<? extends TType>	ResourceSparseApplyProximalGradientDescent.Inputs.var Should be from a Variable().
Operand<? extends TType>	ResourceSparseApplyProximalAdagrad.Inputs.var Should be from a Variable().
Operand<? extends TType>	ResourceSparseApplyMomentum.Inputs.var Should be from a Variable().
Operand<? extends TType>	ResourceSparseApplyKerasMomentum.Inputs.var Should be from a Variable().
Operand<? extends TType>	ResourceSparseApplyFtrl.Inputs.var Should be from a Variable().
Operand<? extends TType>	ResourceSparseApplyCenteredRmsProp.Inputs.var Should be from a Variable().
Operand<? extends TType>	ResourceSparseApplyAdagradV2.Inputs.var Should be from a Variable().
Operand<? extends TType>	ResourceSparseApplyAdagradDa.Inputs.var Should be from a Variable().
Operand<? extends TType>	ResourceSparseApplyAdagrad.Inputs.var Should be from a Variable().
Operand<? extends TType>	ResourceSparseApplyAdadelta.Inputs.var The var input
Operand<? extends TType>	ResourceApplyRmsProp.Inputs.var Should be from a Variable().
Operand<? extends TType>	ResourceApplyProximalGradientDescent.Inputs.var Should be from a Variable().
Operand<? extends TType>	ResourceApplyProximalAdagrad.Inputs.var Should be from a Variable().
Operand<? extends TType>	ResourceApplyPowerSign.Inputs.var Should be from a Variable().
Operand<? extends TType>	ResourceApplyMomentum.Inputs.var Should be from a Variable().
Operand<? extends TType>	ResourceApplyKerasMomentum.Inputs.var Should be from a Variable().
Operand<? extends TType>	ResourceApplyGradientDescent.Inputs.var Should be from a Variable().
Operand<? extends TType>	ResourceApplyFtrl.Inputs.var Should be from a Variable().
Operand<? extends TType>	ResourceApplyCenteredRmsProp.Inputs.var Should be from a Variable().
Operand<? extends TType>	ResourceApplyAddSign.Inputs.var Should be from a Variable().
Operand<? extends TType>	ResourceApplyAdamWithAmsgrad.Inputs.var Should be from a Variable().
Operand<? extends TType>	ResourceApplyAdam.Inputs.var Should be from a Variable().
Operand<? extends TType>	ResourceApplyAdagradDa.Inputs.var Should be from a Variable().
Operand<? extends TType>	ResourceApplyAdagrad.Inputs.var Should be from a Variable().
Operand<? extends TType>	ResourceApplyAdadelta.Inputs.var Should be from a Variable().
Operand<? extends TType>	ResourceApplyAdaMax.Inputs.var Should be from a Variable().
Operand<? extends TType>	ResourceApplyAdamWithAmsgrad.Inputs.vhat Should be from a Variable().
Operand<? extends TType>	BatchMatMul.Inputs.x 2-D or higher with shape [..., r_x, c_x].
Operand<? extends TType>	BatchMatMul.Inputs.y 2-D or higher with shape [..., r_y, c_y].

Methods in org.tensorflow.op.train with type parameters of type TType

Modifier and Type	Method and Description
static <T extends TType> ConditionalAccumulator	ConditionalAccumulator.create(Scope scope, Class<T> dtype, org.tensorflow.ndarray.Shape shape, ConditionalAccumulator.Options... options) Factory method to create a class wrapping a new ConditionalAccumulator operation.
static <T extends TType> ResourceConditionalAccumulator	ResourceConditionalAccumulator.create(Scope scope, Class<T> dtype, org.tensorflow.ndarray.Shape shape, ResourceConditionalAccumulator.Options... options) Factory method to create a class wrapping a new ResourceConditionalAccumulator operation.
static <V extends TType> BatchMatMul<V>	BatchMatMul.create(Scope scope, Operand<? extends TType> x, Operand<? extends TType> y, Class<V> Tout, BatchMatMul.Options... options) Factory method to create a class wrapping a new BatchMatMulV3 operation.
static <T extends TType> ResourceSparseApplyCenteredRmsProp	ResourceSparseApplyCenteredRmsProp.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> mg, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyCenteredRmsProp.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyCenteredRMSProp operation.
static <T extends TType> ResourceApplyAdamWithAmsgrad	ResourceApplyAdamWithAmsgrad.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> m, Operand<? extends TType> v, Operand<? extends TType> vhat, Operand<T> beta1Power, Operand<T> beta2Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdamWithAmsgrad.Options... options) Factory method to create a class wrapping a new ResourceApplyAdamWithAmsgrad operation.
static <T extends TType> ResourceApplyCenteredRmsProp	ResourceApplyCenteredRmsProp.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> mg, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, ResourceApplyCenteredRmsProp.Options... options) Factory method to create a class wrapping a new ResourceApplyCenteredRMSProp operation.
static <T extends TType> ResourceSparseApplyFtrl	ResourceSparseApplyFtrl.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> linear, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> l2Shrinkage, Operand<T> lrPower, ResourceSparseApplyFtrl.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyFtrlV2 operation.
static <T extends TType> ResourceSparseApplyAdagradDa	ResourceSparseApplyAdagradDa.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> gradientAccumulator, Operand<? extends TType> gradientSquaredAccumulator, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<TInt64> globalStep, ResourceSparseApplyAdagradDa.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyAdagradDA operation.
static <T extends TType> ResourceSparseApplyAdadelta	ResourceSparseApplyAdadelta.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> accumUpdate, Operand<T> lr, Operand<T> rho, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyAdadelta.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyAdadelta operation.
static <T extends TType> ResourceSparseApplyRmsProp	ResourceSparseApplyRmsProp.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyRmsProp.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyRMSProp operation.
static <T extends TType> ResourceApplyAdam	ResourceApplyAdam.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> m, Operand<? extends TType> v, Operand<T> beta1Power, Operand<T> beta2Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdam.Options... options) Factory method to create a class wrapping a new ResourceApplyAdam operation.
static <T extends TType> ResourceApplyAdaMax	ResourceApplyAdaMax.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> m, Operand<? extends TType> v, Operand<T> beta1Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdaMax.Options... options) Factory method to create a class wrapping a new ResourceApplyAdaMax operation.
static <T extends TType> ResourceApplyFtrl	ResourceApplyFtrl.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> linear, Operand<T> grad, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> l2Shrinkage, Operand<T> lrPower, ResourceApplyFtrl.Options... options) Factory method to create a class wrapping a new ResourceApplyFtrlV2 operation.
static <T extends TType> ResourceApplyRmsProp	ResourceApplyRmsProp.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, ResourceApplyRmsProp.Options... options) Factory method to create a class wrapping a new ResourceApplyRMSProp operation.
static <T extends TType> ResourceApplyAdagradDa	ResourceApplyAdagradDa.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> gradientAccumulator, Operand<? extends TType> gradientSquaredAccumulator, Operand<T> grad, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<TInt64> globalStep, ResourceApplyAdagradDa.Options... options) Factory method to create a class wrapping a new ResourceApplyAdagradDA operation.
static <T extends TType> ResourceApplyAdadelta	ResourceApplyAdadelta.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> accumUpdate, Operand<T> lr, Operand<T> rho, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdadelta.Options... options) Factory method to create a class wrapping a new ResourceApplyAdadelta operation.
static <T extends TType> ResourceSparseApplyKerasMomentum	ResourceSparseApplyKerasMomentum.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> momentum, ResourceSparseApplyKerasMomentum.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyKerasMomentum operation.
static <T extends TType> ResourceSparseApplyMomentum	ResourceSparseApplyMomentum.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> momentum, ResourceSparseApplyMomentum.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyMomentum operation.
static <T extends TType> ResourceSparseApplyAdagrad	ResourceSparseApplyAdagrad.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyAdagrad.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyAdagrad operation.
static <T extends TType> ResourceSparseApplyAdagradV2	ResourceSparseApplyAdagradV2.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyAdagradV2.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyAdagradV2 operation.
static <T extends TType> ResourceSparseApplyProximalAdagrad	ResourceSparseApplyProximalAdagrad.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyProximalAdagrad.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyProximalAdagrad operation.
static <T extends TType> ResourceApplyAddSign	ResourceApplyAddSign.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> m, Operand<T> lr, Operand<T> alpha, Operand<T> signDecay, Operand<T> beta, Operand<T> grad, ResourceApplyAddSign.Options... options) Factory method to create a class wrapping a new ResourceApplyAddSign operation.
static <T extends TType> ResourceApplyPowerSign	ResourceApplyPowerSign.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> m, Operand<T> lr, Operand<T> logbase, Operand<T> signDecay, Operand<T> beta, Operand<T> grad, ResourceApplyPowerSign.Options... options) Factory method to create a class wrapping a new ResourceApplyPowerSign operation.
static <T extends TType> ResourceApplyProximalAdagrad	ResourceApplyProximalAdagrad.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> grad, ResourceApplyProximalAdagrad.Options... options) Factory method to create a class wrapping a new ResourceApplyProximalAdagrad operation.
static <T extends TType> ResourceApplyAdagrad	ResourceApplyAdagrad.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdagrad.Options... options) Factory method to create a class wrapping a new ResourceApplyAdagradV2 operation.
static <T extends TType> ResourceApplyKerasMomentum	ResourceApplyKerasMomentum.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<T> momentum, ResourceApplyKerasMomentum.Options... options) Factory method to create a class wrapping a new ResourceApplyKerasMomentum operation.
static <T extends TType> ResourceApplyMomentum	ResourceApplyMomentum.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<T> momentum, ResourceApplyMomentum.Options... options) Factory method to create a class wrapping a new ResourceApplyMomentum operation.
static <T extends TType> ResourceSparseApplyProximalGradientDescent	ResourceSparseApplyProximalGradientDescent.create(Scope scope, Operand<? extends TType> var, Operand<T> alpha, Operand<T> l1, Operand<T> l2, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyProximalGradientDescent.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyProximalGradientDescent operation.
static <T extends TType> ResourceApplyProximalGradientDescent	ResourceApplyProximalGradientDescent.create(Scope scope, Operand<? extends TType> var, Operand<T> alpha, Operand<T> l1, Operand<T> l2, Operand<T> delta, ResourceApplyProximalGradientDescent.Options... options) Factory method to create a class wrapping a new ResourceApplyProximalGradientDescent operation.
static <T extends TType> ResourceApplyGradientDescent	ResourceApplyGradientDescent.create(Scope scope, Operand<? extends TType> var, Operand<T> alpha, Operand<T> delta, ResourceApplyGradientDescent.Options... options) Factory method to create a class wrapping a new ResourceApplyGradientDescent operation.
static <T extends TType> ResourceAccumulatorTakeGradient<T>	ResourceAccumulatorTakeGradient.create(Scope scope, Operand<? extends TType> handle, Operand<TInt32> numRequired, Class<T> dtype) Factory method to create a class wrapping a new ResourceAccumulatorTakeGradient operation.
static <T extends TType> ApplyGradientDescent<T>	ApplyGradientDescent.create(Scope scope, Operand<T> var, Operand<T> alpha, Operand<T> delta, ApplyGradientDescent.Options... options) Factory method to create a class wrapping a new ApplyGradientDescent operation.
static <T extends TType> ApplyAdagrad<T>	ApplyAdagrad.create(Scope scope, Operand<T> var, Operand<T> accum, Operand<T> lr, Operand<T> grad, ApplyAdagrad.Options... options) Factory method to create a class wrapping a new ApplyAdagrad operation.
static <T extends TType> SparseApplyFtrl<T>	SparseApplyFtrl.create(Scope scope, Operand<T> var, Operand<T> accum, Operand<T> linear, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> l2Shrinkage, Operand<T> lrPower, SparseApplyFtrl.Options... options) Factory method to create a class wrapping a new SparseApplyFtrlV2 operation.
static <T extends TType> SparseApplyAdagradDa<T>	SparseApplyAdagradDa.create(Scope scope, Operand<T> var, Operand<T> gradientAccumulator, Operand<T> gradientSquaredAccumulator, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<TInt64> globalStep, SparseApplyAdagradDa.Options... options) Factory method to create a class wrapping a new SparseApplyAdagradDA operation.
static <T extends TType> SparseApplyMomentum<T>	SparseApplyMomentum.create(Scope scope, Operand<T> var, Operand<T> accum, Operand<T> lr, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> momentum, SparseApplyMomentum.Options... options) Factory method to create a class wrapping a new SparseApplyMomentum operation.
static <T extends TType> ApplyAdagradV2<T>	ApplyAdagradV2.create(Scope scope, Operand<T> var, Operand<T> accum, Operand<T> lr, Operand<T> epsilon, Operand<T> grad, ApplyAdagradV2.Options... options) Factory method to create a class wrapping a new ApplyAdagradV2 operation.
static <T extends TType> ApplyMomentum<T>	ApplyMomentum.create(Scope scope, Operand<T> var, Operand<T> accum, Operand<T> lr, Operand<T> grad, Operand<T> momentum, ApplyMomentum.Options... options) Factory method to create a class wrapping a new ApplyMomentum operation.
static <T extends TType> ApplyProximalGradientDescent<T>	ApplyProximalGradientDescent.create(Scope scope, Operand<T> var, Operand<T> alpha, Operand<T> l1, Operand<T> l2, Operand<T> delta, ApplyProximalGradientDescent.Options... options) Factory method to create a class wrapping a new ApplyProximalGradientDescent operation.
static <T extends TType> SparseApplyAdagrad<T>	SparseApplyAdagrad.create(Scope scope, Operand<T> var, Operand<T> accum, Operand<T> lr, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, SparseApplyAdagrad.Options... options) Factory method to create a class wrapping a new SparseApplyAdagradV2 operation.
static <T extends TType> SparseApplyProximalGradientDescent<T>	SparseApplyProximalGradientDescent.create(Scope scope, Operand<T> var, Operand<T> alpha, Operand<T> l1, Operand<T> l2, Operand<T> grad, Operand<? extends TNumber> indices, SparseApplyProximalGradientDescent.Options... options) Factory method to create a class wrapping a new SparseApplyProximalGradientDescent operation.
static <T extends TType> ApplyProximalAdagrad<T>	ApplyProximalAdagrad.create(Scope scope, Operand<T> var, Operand<T> accum, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> grad, ApplyProximalAdagrad.Options... options) Factory method to create a class wrapping a new ApplyProximalAdagrad operation.
static <T extends TType> SparseApplyProximalAdagrad<T>	SparseApplyProximalAdagrad.create(Scope scope, Operand<T> var, Operand<T> accum, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> grad, Operand<? extends TNumber> indices, SparseApplyProximalAdagrad.Options... options) Factory method to create a class wrapping a new SparseApplyProximalAdagrad operation.
static <T extends TType> ApplyAdadelta<T>	ApplyAdadelta.create(Scope scope, Operand<T> var, Operand<T> accum, Operand<T> accumUpdate, Operand<T> lr, Operand<T> rho, Operand<T> epsilon, Operand<T> grad, ApplyAdadelta.Options... options) Factory method to create a class wrapping a new ApplyAdadelta operation.
static <T extends TType> ApplyAddSign<T>	ApplyAddSign.create(Scope scope, Operand<T> var, Operand<T> m, Operand<T> lr, Operand<T> alpha, Operand<T> signDecay, Operand<T> beta, Operand<T> grad, ApplyAddSign.Options... options) Factory method to create a class wrapping a new ApplyAddSign operation.
static <T extends TType> ApplyPowerSign<T>	ApplyPowerSign.create(Scope scope, Operand<T> var, Operand<T> m, Operand<T> lr, Operand<T> logbase, Operand<T> signDecay, Operand<T> beta, Operand<T> grad, ApplyPowerSign.Options... options) Factory method to create a class wrapping a new ApplyPowerSign operation.
static <T extends TType> SparseApplyAdadelta<T>	SparseApplyAdadelta.create(Scope scope, Operand<T> var, Operand<T> accum, Operand<T> accumUpdate, Operand<T> lr, Operand<T> rho, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, SparseApplyAdadelta.Options... options) Factory method to create a class wrapping a new SparseApplyAdadelta operation.
static <T extends TType> ApplyRmsProp<T>	ApplyRmsProp.create(Scope scope, Operand<T> var, Operand<T> ms, Operand<T> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, ApplyRmsProp.Options... options) Factory method to create a class wrapping a new ApplyRMSProp operation.
static <T extends TType> SparseApplyRmsProp<T>	SparseApplyRmsProp.create(Scope scope, Operand<T> var, Operand<T> ms, Operand<T> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, SparseApplyRmsProp.Options... options) Factory method to create a class wrapping a new SparseApplyRMSProp operation.
static <T extends TType> ApplyAdaMax<T>	ApplyAdaMax.create(Scope scope, Operand<T> var, Operand<T> m, Operand<T> v, Operand<T> beta1Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, ApplyAdaMax.Options... options) Factory method to create a class wrapping a new ApplyAdaMax operation.
static <T extends TType> ApplyCenteredRmsProp<T>	ApplyCenteredRmsProp.create(Scope scope, Operand<T> var, Operand<T> mg, Operand<T> ms, Operand<T> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, ApplyCenteredRmsProp.Options... options) Factory method to create a class wrapping a new ApplyCenteredRMSProp operation.
static <T extends TType> ApplyFtrl<T>	ApplyFtrl.create(Scope scope, Operand<T> var, Operand<T> accum, Operand<T> linear, Operand<T> grad, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> l2Shrinkage, Operand<T> lrPower, ApplyFtrl.Options... options) Factory method to create a class wrapping a new ApplyFtrlV2 operation.
static <T extends TType> SparseApplyCenteredRmsProp<T>	SparseApplyCenteredRmsProp.create(Scope scope, Operand<T> var, Operand<T> mg, Operand<T> ms, Operand<T> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, SparseApplyCenteredRmsProp.Options... options) Factory method to create a class wrapping a new SparseApplyCenteredRMSProp operation.
static <T extends TType> ApplyAdam<T>	ApplyAdam.create(Scope scope, Operand<T> var, Operand<T> m, Operand<T> v, Operand<T> beta1Power, Operand<T> beta2Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, ApplyAdam.Options... options) Factory method to create a class wrapping a new ApplyAdam operation.
static <T extends TType> ApplyAdagradDa<T>	ApplyAdagradDa.create(Scope scope, Operand<T> var, Operand<T> gradientAccumulator, Operand<T> gradientSquaredAccumulator, Operand<T> grad, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<TInt64> globalStep, ApplyAdagradDa.Options... options) Factory method to create a class wrapping a new ApplyAdagradDA operation.
static <T extends TType> TileGrad<T>	TileGrad.create(Scope scope, Operand<T> input, Operand<TInt32> multiples) Factory method to create a class wrapping a new TileGrad operation.
static <T extends TType> PreventGradient<T>	PreventGradient.create(Scope scope, Operand<T> input, PreventGradient.Options... options) Factory method to create a class wrapping a new PreventGradient operation.
static <T extends TType> AccumulatorTakeGradient<T>	AccumulatorTakeGradient.create(Scope scope, Operand<TString> handle, Operand<TInt32> numRequired, Class<T> dtype) Factory method to create a class wrapping a new AccumulatorTakeGradient operation.
static <T extends TType> RestoreSlice<T>	RestoreSlice.create(Scope scope, Operand<TString> filePattern, Operand<TString> tensorName, Operand<TString> shapeAndSlice, Class<T> dt, RestoreSlice.Options... options) Factory method to create a class wrapping a new RestoreSlice operation.

Methods in org.tensorflow.op.train that return types with arguments of type TType

Modifier and Type	Method and Description
Output<TType>	ResourceConditionalAccumulator.asOutput()
Output<? extends TType>	ResourceConditionalAccumulator.handle() Gets handle.
Iterator<Operand<TType>>	SymbolicGradient.iterator()
Iterator<Operand<TType>>	Restore.iterator()

Method parameters in org.tensorflow.op.train with type arguments of type TType

Modifier and Type	Method and Description
static SymbolicGradient	SymbolicGradient.create(Scope scope, Iterable<Operand<?>> input, List<Class<? extends TType>> Tout, ConcreteFunction f) Factory method to create a class wrapping a new SymbolicGradient operation.
static ResourceAccumulatorNumAccumulated	ResourceAccumulatorNumAccumulated.create(Scope scope, Operand<? extends TType> handle) Factory method to create a class wrapping a new ResourceAccumulatorNumAccumulated operation.
static ComputeBatchSize	ComputeBatchSize.create(Scope scope, Operand<? extends TType> inputDataset) Factory method to create a class wrapping a new ComputeBatchSize operation.
static <V extends TType> BatchMatMul<V>	BatchMatMul.create(Scope scope, Operand<? extends TType> x, Operand<? extends TType> y, Class<V> Tout, BatchMatMul.Options... options) Factory method to create a class wrapping a new BatchMatMulV3 operation.
static <V extends TType> BatchMatMul<V>	BatchMatMul.create(Scope scope, Operand<? extends TType> x, Operand<? extends TType> y, Class<V> Tout, BatchMatMul.Options... options) Factory method to create a class wrapping a new BatchMatMulV3 operation.
static <T extends TType> ResourceSparseApplyCenteredRmsProp	ResourceSparseApplyCenteredRmsProp.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> mg, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyCenteredRmsProp.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyCenteredRMSProp operation.
static <T extends TType> ResourceSparseApplyCenteredRmsProp	ResourceSparseApplyCenteredRmsProp.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> mg, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyCenteredRmsProp.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyCenteredRMSProp operation.
static <T extends TType> ResourceSparseApplyCenteredRmsProp	ResourceSparseApplyCenteredRmsProp.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> mg, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyCenteredRmsProp.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyCenteredRMSProp operation.
static <T extends TType> ResourceSparseApplyCenteredRmsProp	ResourceSparseApplyCenteredRmsProp.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> mg, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyCenteredRmsProp.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyCenteredRMSProp operation.
static <T extends TType> ResourceApplyAdamWithAmsgrad	ResourceApplyAdamWithAmsgrad.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> m, Operand<? extends TType> v, Operand<? extends TType> vhat, Operand<T> beta1Power, Operand<T> beta2Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdamWithAmsgrad.Options... options) Factory method to create a class wrapping a new ResourceApplyAdamWithAmsgrad operation.
static <T extends TType> ResourceApplyAdamWithAmsgrad	ResourceApplyAdamWithAmsgrad.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> m, Operand<? extends TType> v, Operand<? extends TType> vhat, Operand<T> beta1Power, Operand<T> beta2Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdamWithAmsgrad.Options... options) Factory method to create a class wrapping a new ResourceApplyAdamWithAmsgrad operation.
static <T extends TType> ResourceApplyAdamWithAmsgrad	ResourceApplyAdamWithAmsgrad.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> m, Operand<? extends TType> v, Operand<? extends TType> vhat, Operand<T> beta1Power, Operand<T> beta2Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdamWithAmsgrad.Options... options) Factory method to create a class wrapping a new ResourceApplyAdamWithAmsgrad operation.
static <T extends TType> ResourceApplyAdamWithAmsgrad	ResourceApplyAdamWithAmsgrad.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> m, Operand<? extends TType> v, Operand<? extends TType> vhat, Operand<T> beta1Power, Operand<T> beta2Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdamWithAmsgrad.Options... options) Factory method to create a class wrapping a new ResourceApplyAdamWithAmsgrad operation.
static <T extends TType> ResourceApplyCenteredRmsProp	ResourceApplyCenteredRmsProp.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> mg, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, ResourceApplyCenteredRmsProp.Options... options) Factory method to create a class wrapping a new ResourceApplyCenteredRMSProp operation.
static <T extends TType> ResourceApplyCenteredRmsProp	ResourceApplyCenteredRmsProp.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> mg, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, ResourceApplyCenteredRmsProp.Options... options) Factory method to create a class wrapping a new ResourceApplyCenteredRMSProp operation.
static <T extends TType> ResourceApplyCenteredRmsProp	ResourceApplyCenteredRmsProp.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> mg, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, ResourceApplyCenteredRmsProp.Options... options) Factory method to create a class wrapping a new ResourceApplyCenteredRMSProp operation.
static <T extends TType> ResourceApplyCenteredRmsProp	ResourceApplyCenteredRmsProp.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> mg, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, ResourceApplyCenteredRmsProp.Options... options) Factory method to create a class wrapping a new ResourceApplyCenteredRMSProp operation.
static <T extends TType> ResourceSparseApplyFtrl	ResourceSparseApplyFtrl.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> linear, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> l2Shrinkage, Operand<T> lrPower, ResourceSparseApplyFtrl.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyFtrlV2 operation.
static <T extends TType> ResourceSparseApplyFtrl	ResourceSparseApplyFtrl.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> linear, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> l2Shrinkage, Operand<T> lrPower, ResourceSparseApplyFtrl.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyFtrlV2 operation.
static <T extends TType> ResourceSparseApplyFtrl	ResourceSparseApplyFtrl.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> linear, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> l2Shrinkage, Operand<T> lrPower, ResourceSparseApplyFtrl.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyFtrlV2 operation.
static <T extends TType> ResourceSparseApplyAdagradDa	ResourceSparseApplyAdagradDa.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> gradientAccumulator, Operand<? extends TType> gradientSquaredAccumulator, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<TInt64> globalStep, ResourceSparseApplyAdagradDa.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyAdagradDA operation.
static <T extends TType> ResourceSparseApplyAdagradDa	ResourceSparseApplyAdagradDa.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> gradientAccumulator, Operand<? extends TType> gradientSquaredAccumulator, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<TInt64> globalStep, ResourceSparseApplyAdagradDa.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyAdagradDA operation.
static <T extends TType> ResourceSparseApplyAdagradDa	ResourceSparseApplyAdagradDa.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> gradientAccumulator, Operand<? extends TType> gradientSquaredAccumulator, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<TInt64> globalStep, ResourceSparseApplyAdagradDa.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyAdagradDA operation.
static <T extends TType> ResourceSparseApplyAdadelta	ResourceSparseApplyAdadelta.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> accumUpdate, Operand<T> lr, Operand<T> rho, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyAdadelta.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyAdadelta operation.
static <T extends TType> ResourceSparseApplyAdadelta	ResourceSparseApplyAdadelta.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> accumUpdate, Operand<T> lr, Operand<T> rho, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyAdadelta.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyAdadelta operation.
static <T extends TType> ResourceSparseApplyAdadelta	ResourceSparseApplyAdadelta.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> accumUpdate, Operand<T> lr, Operand<T> rho, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyAdadelta.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyAdadelta operation.
static <T extends TType> ResourceSparseApplyRmsProp	ResourceSparseApplyRmsProp.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyRmsProp.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyRMSProp operation.
static <T extends TType> ResourceSparseApplyRmsProp	ResourceSparseApplyRmsProp.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyRmsProp.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyRMSProp operation.
static <T extends TType> ResourceSparseApplyRmsProp	ResourceSparseApplyRmsProp.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyRmsProp.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyRMSProp operation.
static <T extends TType> ResourceApplyAdam	ResourceApplyAdam.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> m, Operand<? extends TType> v, Operand<T> beta1Power, Operand<T> beta2Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdam.Options... options) Factory method to create a class wrapping a new ResourceApplyAdam operation.
static <T extends TType> ResourceApplyAdam	ResourceApplyAdam.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> m, Operand<? extends TType> v, Operand<T> beta1Power, Operand<T> beta2Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdam.Options... options) Factory method to create a class wrapping a new ResourceApplyAdam operation.
static <T extends TType> ResourceApplyAdam	ResourceApplyAdam.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> m, Operand<? extends TType> v, Operand<T> beta1Power, Operand<T> beta2Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdam.Options... options) Factory method to create a class wrapping a new ResourceApplyAdam operation.
static <T extends TType> ResourceApplyAdaMax	ResourceApplyAdaMax.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> m, Operand<? extends TType> v, Operand<T> beta1Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdaMax.Options... options) Factory method to create a class wrapping a new ResourceApplyAdaMax operation.
static <T extends TType> ResourceApplyAdaMax	ResourceApplyAdaMax.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> m, Operand<? extends TType> v, Operand<T> beta1Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdaMax.Options... options) Factory method to create a class wrapping a new ResourceApplyAdaMax operation.
static <T extends TType> ResourceApplyAdaMax	ResourceApplyAdaMax.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> m, Operand<? extends TType> v, Operand<T> beta1Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdaMax.Options... options) Factory method to create a class wrapping a new ResourceApplyAdaMax operation.
static <T extends TType> ResourceApplyFtrl	ResourceApplyFtrl.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> linear, Operand<T> grad, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> l2Shrinkage, Operand<T> lrPower, ResourceApplyFtrl.Options... options) Factory method to create a class wrapping a new ResourceApplyFtrlV2 operation.
static <T extends TType> ResourceApplyFtrl	ResourceApplyFtrl.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> linear, Operand<T> grad, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> l2Shrinkage, Operand<T> lrPower, ResourceApplyFtrl.Options... options) Factory method to create a class wrapping a new ResourceApplyFtrlV2 operation.
static <T extends TType> ResourceApplyFtrl	ResourceApplyFtrl.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> linear, Operand<T> grad, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> l2Shrinkage, Operand<T> lrPower, ResourceApplyFtrl.Options... options) Factory method to create a class wrapping a new ResourceApplyFtrlV2 operation.
static <T extends TType> ResourceApplyRmsProp	ResourceApplyRmsProp.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, ResourceApplyRmsProp.Options... options) Factory method to create a class wrapping a new ResourceApplyRMSProp operation.
static <T extends TType> ResourceApplyRmsProp	ResourceApplyRmsProp.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, ResourceApplyRmsProp.Options... options) Factory method to create a class wrapping a new ResourceApplyRMSProp operation.
static <T extends TType> ResourceApplyRmsProp	ResourceApplyRmsProp.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> ms, Operand<? extends TType> mom, Operand<T> lr, Operand<T> rho, Operand<T> momentum, Operand<T> epsilon, Operand<T> grad, ResourceApplyRmsProp.Options... options) Factory method to create a class wrapping a new ResourceApplyRMSProp operation.
static <T extends TType> ResourceApplyAdagradDa	ResourceApplyAdagradDa.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> gradientAccumulator, Operand<? extends TType> gradientSquaredAccumulator, Operand<T> grad, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<TInt64> globalStep, ResourceApplyAdagradDa.Options... options) Factory method to create a class wrapping a new ResourceApplyAdagradDA operation.
static <T extends TType> ResourceApplyAdagradDa	ResourceApplyAdagradDa.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> gradientAccumulator, Operand<? extends TType> gradientSquaredAccumulator, Operand<T> grad, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<TInt64> globalStep, ResourceApplyAdagradDa.Options... options) Factory method to create a class wrapping a new ResourceApplyAdagradDA operation.
static <T extends TType> ResourceApplyAdagradDa	ResourceApplyAdagradDa.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> gradientAccumulator, Operand<? extends TType> gradientSquaredAccumulator, Operand<T> grad, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<TInt64> globalStep, ResourceApplyAdagradDa.Options... options) Factory method to create a class wrapping a new ResourceApplyAdagradDA operation.
static <T extends TType> ResourceApplyAdadelta	ResourceApplyAdadelta.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> accumUpdate, Operand<T> lr, Operand<T> rho, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdadelta.Options... options) Factory method to create a class wrapping a new ResourceApplyAdadelta operation.
static <T extends TType> ResourceApplyAdadelta	ResourceApplyAdadelta.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> accumUpdate, Operand<T> lr, Operand<T> rho, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdadelta.Options... options) Factory method to create a class wrapping a new ResourceApplyAdadelta operation.
static <T extends TType> ResourceApplyAdadelta	ResourceApplyAdadelta.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<? extends TType> accumUpdate, Operand<T> lr, Operand<T> rho, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdadelta.Options... options) Factory method to create a class wrapping a new ResourceApplyAdadelta operation.
static <T extends TType> ResourceSparseApplyKerasMomentum	ResourceSparseApplyKerasMomentum.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> momentum, ResourceSparseApplyKerasMomentum.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyKerasMomentum operation.
static <T extends TType> ResourceSparseApplyKerasMomentum	ResourceSparseApplyKerasMomentum.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> momentum, ResourceSparseApplyKerasMomentum.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyKerasMomentum operation.
static <T extends TType> ResourceSparseApplyMomentum	ResourceSparseApplyMomentum.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> momentum, ResourceSparseApplyMomentum.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyMomentum operation.
static <T extends TType> ResourceSparseApplyMomentum	ResourceSparseApplyMomentum.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> momentum, ResourceSparseApplyMomentum.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyMomentum operation.
static <T extends TType> ResourceSparseApplyAdagrad	ResourceSparseApplyAdagrad.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyAdagrad.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyAdagrad operation.
static <T extends TType> ResourceSparseApplyAdagrad	ResourceSparseApplyAdagrad.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyAdagrad.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyAdagrad operation.
static <T extends TType> ResourceSparseApplyAdagradV2	ResourceSparseApplyAdagradV2.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyAdagradV2.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyAdagradV2 operation.
static <T extends TType> ResourceSparseApplyAdagradV2	ResourceSparseApplyAdagradV2.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyAdagradV2.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyAdagradV2 operation.
static <T extends TType> ResourceSparseApplyProximalAdagrad	ResourceSparseApplyProximalAdagrad.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyProximalAdagrad.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyProximalAdagrad operation.
static <T extends TType> ResourceSparseApplyProximalAdagrad	ResourceSparseApplyProximalAdagrad.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyProximalAdagrad.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyProximalAdagrad operation.
static <T extends TType> ResourceApplyAddSign	ResourceApplyAddSign.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> m, Operand<T> lr, Operand<T> alpha, Operand<T> signDecay, Operand<T> beta, Operand<T> grad, ResourceApplyAddSign.Options... options) Factory method to create a class wrapping a new ResourceApplyAddSign operation.
static <T extends TType> ResourceApplyAddSign	ResourceApplyAddSign.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> m, Operand<T> lr, Operand<T> alpha, Operand<T> signDecay, Operand<T> beta, Operand<T> grad, ResourceApplyAddSign.Options... options) Factory method to create a class wrapping a new ResourceApplyAddSign operation.
static <T extends TType> ResourceApplyPowerSign	ResourceApplyPowerSign.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> m, Operand<T> lr, Operand<T> logbase, Operand<T> signDecay, Operand<T> beta, Operand<T> grad, ResourceApplyPowerSign.Options... options) Factory method to create a class wrapping a new ResourceApplyPowerSign operation.
static <T extends TType> ResourceApplyPowerSign	ResourceApplyPowerSign.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> m, Operand<T> lr, Operand<T> logbase, Operand<T> signDecay, Operand<T> beta, Operand<T> grad, ResourceApplyPowerSign.Options... options) Factory method to create a class wrapping a new ResourceApplyPowerSign operation.
static <T extends TType> ResourceApplyProximalAdagrad	ResourceApplyProximalAdagrad.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> grad, ResourceApplyProximalAdagrad.Options... options) Factory method to create a class wrapping a new ResourceApplyProximalAdagrad operation.
static <T extends TType> ResourceApplyProximalAdagrad	ResourceApplyProximalAdagrad.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> grad, ResourceApplyProximalAdagrad.Options... options) Factory method to create a class wrapping a new ResourceApplyProximalAdagrad operation.
static <T extends TType> ResourceApplyAdagrad	ResourceApplyAdagrad.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdagrad.Options... options) Factory method to create a class wrapping a new ResourceApplyAdagradV2 operation.
static <T extends TType> ResourceApplyAdagrad	ResourceApplyAdagrad.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdagrad.Options... options) Factory method to create a class wrapping a new ResourceApplyAdagradV2 operation.
static <T extends TType> ResourceApplyKerasMomentum	ResourceApplyKerasMomentum.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<T> momentum, ResourceApplyKerasMomentum.Options... options) Factory method to create a class wrapping a new ResourceApplyKerasMomentum operation.
static <T extends TType> ResourceApplyKerasMomentum	ResourceApplyKerasMomentum.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<T> momentum, ResourceApplyKerasMomentum.Options... options) Factory method to create a class wrapping a new ResourceApplyKerasMomentum operation.
static <T extends TType> ResourceApplyMomentum	ResourceApplyMomentum.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<T> momentum, ResourceApplyMomentum.Options... options) Factory method to create a class wrapping a new ResourceApplyMomentum operation.
static <T extends TType> ResourceApplyMomentum	ResourceApplyMomentum.create(Scope scope, Operand<? extends TType> var, Operand<? extends TType> accum, Operand<T> lr, Operand<T> grad, Operand<T> momentum, ResourceApplyMomentum.Options... options) Factory method to create a class wrapping a new ResourceApplyMomentum operation.
static <T extends TType> ResourceSparseApplyProximalGradientDescent	ResourceSparseApplyProximalGradientDescent.create(Scope scope, Operand<? extends TType> var, Operand<T> alpha, Operand<T> l1, Operand<T> l2, Operand<T> grad, Operand<? extends TNumber> indices, ResourceSparseApplyProximalGradientDescent.Options... options) Factory method to create a class wrapping a new ResourceSparseApplyProximalGradientDescent operation.
static <T extends TType> ResourceApplyProximalGradientDescent	ResourceApplyProximalGradientDescent.create(Scope scope, Operand<? extends TType> var, Operand<T> alpha, Operand<T> l1, Operand<T> l2, Operand<T> delta, ResourceApplyProximalGradientDescent.Options... options) Factory method to create a class wrapping a new ResourceApplyProximalGradientDescent operation.
static <T extends TType> ResourceApplyGradientDescent	ResourceApplyGradientDescent.create(Scope scope, Operand<? extends TType> var, Operand<T> alpha, Operand<T> delta, ResourceApplyGradientDescent.Options... options) Factory method to create a class wrapping a new ResourceApplyGradientDescent operation.
static <T extends TType> ResourceAccumulatorTakeGradient<T>	ResourceAccumulatorTakeGradient.create(Scope scope, Operand<? extends TType> handle, Operand<TInt32> numRequired, Class<T> dtype) Factory method to create a class wrapping a new ResourceAccumulatorTakeGradient operation.
static ResourceAccumulatorSetGlobalStep	ResourceAccumulatorSetGlobalStep.create(Scope scope, Operand<? extends TType> handle, Operand<TInt64> newGlobalStep) Factory method to create a class wrapping a new ResourceAccumulatorSetGlobalStep operation.
static ResourceAccumulatorApplyGradient	ResourceAccumulatorApplyGradient.create(Scope scope, Operand<? extends TType> handle, Operand<TInt64> localStep, Operand<? extends TType> gradient) Factory method to create a class wrapping a new ResourceAccumulatorApplyGradient operation.
static ResourceAccumulatorApplyGradient	ResourceAccumulatorApplyGradient.create(Scope scope, Operand<? extends TType> handle, Operand<TInt64> localStep, Operand<? extends TType> gradient) Factory method to create a class wrapping a new ResourceAccumulatorApplyGradient operation.
static AccumulatorApplyGradient	AccumulatorApplyGradient.create(Scope scope, Operand<TString> handle, Operand<TInt64> localStep, Operand<? extends TType> gradient) Factory method to create a class wrapping a new AccumulatorApplyGradient operation.
static Restore	Restore.create(Scope scope, Operand<TString> prefix, Operand<TString> tensorNames, Operand<TString> shapeAndSlices, List<Class<? extends TType>> dtypes) Factory method to create a class wrapping a new RestoreV2 operation.

Uses of TType in org.tensorflow.op.xla

Classes in org.tensorflow.op.xla with type parameters of type TType

Modifier and Type	Class and Description
class	BroadcastHelper<T extends TType> 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.
static class	BroadcastHelper.Inputs<T extends TType>
class	ClusterOutput<T extends TType> Operator that connects the output of an XLA computation to other consumer graph nodes.
static class	ClusterOutput.Inputs<T extends TType>
class	ConcatND<T extends TType> Concats input tensor across all dimensions.
static class	ConcatND.Inputs<T extends TType>
class	Conv<W extends TType> Wraps the XLA ConvGeneralDilated operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#conv_convolution .
class	Dot<V extends TType> Wraps the XLA DotGeneral operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#dotgeneral .
class	DynamicSlice<T extends TType> Wraps the XLA DynamicSlice operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#dynamicslice .
static class	DynamicSlice.Inputs<T extends TType,U extends TNumber>
class	DynamicUpdateSlice<T extends TType> Wraps the XLA DynamicUpdateSlice operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#dynamicupdateslice .
static class	DynamicUpdateSlice.Inputs<T extends TType>
class	Einsum<T extends TType> An op which supports basic einsum op with 2 inputs and 1 output.
static class	Einsum.Inputs<T extends TType>
class	Gather<T extends TType> Wraps the XLA Gather operator documented at https://www.tensorflow.org/xla/operation_semantics#gather
static class	Gather.Inputs<T extends TType,U extends TNumber>
class	KeyValueSort<T extends TNumber,U extends TType> Wraps the XLA Sort operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#sort .
static class	KeyValueSort.Inputs<T extends TNumber,U extends TType>
class	Pad<T extends TType> Wraps the XLA Pad operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#pad .
static class	Pad.Inputs<T extends TType,U extends TNumber>
class	ReadVariableSplitND<T extends TType> Splits resource variable input tensor across all dimensions.
class	Recv<T extends TType> Receives the named tensor from another XLA computation.
class	Reduce<T extends TType> Wraps the XLA Reduce operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#reduce .
static class	Reduce.Inputs<T extends TType>
class	ReduceWindow<T extends TType> Wraps the XLA ReduceWindow operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#reducewindow .
static class	ReduceWindow.Inputs<T extends TType,U extends TNumber>
class	RemoveDynamicDimensionSize<T extends TType> Inverse of XlaSetDynamicDimensionSize.
static class	RemoveDynamicDimensionSize.Inputs<T extends TType>
class	Scatter<T extends TType> Wraps the XLA Scatter operator documented at https://www.tensorflow.org/xla/operation_semantics#scatter.
static class	Scatter.Inputs<T extends TType>
class	SelectAndScatter<T extends TType> Wraps the XLA SelectAndScatter operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#selectandscatter .
static class	SelectAndScatter.Inputs<T extends TType,U extends TNumber>
class	SelfAdjointEig<T extends TType> Computes the eigen decomposition of a batch of self-adjoint matrices (Note: Only real inputs are supported).
static class	SelfAdjointEig.Inputs<T extends TType>
class	SetDynamicDimensionSize<T extends TType> Make a static dimension into a xla bounded dynamic dimension.
static class	SetDynamicDimensionSize.Inputs<T extends TType>
class	Sharding<T extends TType> An op which shards the input based on the given sharding attribute.
static class	Sharding.Inputs<T extends TType>
class	Sort<T extends TType> Wraps the XLA Sort operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#sort .
static class	Sort.Inputs<T extends TType>
class	SplitND<T extends TType> Splits input tensor across all dimensions.
static class	SplitND.Inputs<T extends TType>
class	SpmdFullToShardShape<T extends TType> An op used by XLA SPMD partitioner to switch from automatic partitioning to manual partitioning.
static class	SpmdFullToShardShape.Inputs<T extends TType>
class	SpmdShardToFullShape<T extends TType> An op used by XLA SPMD partitioner to switch from manual partitioning to automatic partitioning.
static class	SpmdShardToFullShape.Inputs<T extends TType>
class	Svd<T extends TType> Computes the eigen decomposition of a batch of self-adjoint matrices (Note: Only real inputs are supported).
static class	Svd.Inputs<T extends TType>
class	XlaRecvFromHost<T extends TType> An op to receive a tensor from the host.

Fields in org.tensorflow.op.xla with type parameters of type TType

Modifier and Type	Field and Description
Operand<? extends TType>	If.Inputs.cond A boolean scalar.
Operand<? extends TType>	RngBitGenerator.Inputs.initialState Initial state for the PRNG algorithm.
Operand<? extends TType>	XlaSendToHost.Inputs.input The input input
Operand<? extends TType>	Dequantize.Inputs.input Input tensors whose types is uint32, shape is [d0, ..., dn].
Iterable<Operand<? extends TType>>	AssignVariableConcatND.Inputs.inputs The inputs input
Operand<? extends TType>	Dot.Inputs.lhs the LHS tensor
Operand<? extends TType>	Conv.Inputs.lhs the input tensor
Operand<? extends TType>	ReadVariableSplitND.Inputs.resource Resource variable of input tensor to split across all dimensions.
Operand<? extends TType>	AssignVariableConcatND.Inputs.resource Resource variable for concatenated input tensors across all dimensions.
Iterable<Operand<? extends TType>>	XlaLaunch.Inputs.resources The resources input
Operand<? extends TType>	Dot.Inputs.rhs the RHS tensor
Operand<? extends TType>	Conv.Inputs.rhs the kernel tensor
Operand<? extends TType>	Send.Inputs.tensor The tensor to send.

Methods in org.tensorflow.op.xla with type parameters of type TType

Modifier and Type	Method and Description
static <T extends TType> XlaRecvFromHost<T>	XlaRecvFromHost.create(Scope scope, Class<T> Toutput, org.tensorflow.ndarray.Shape shape, String key) Factory method to create a class wrapping a new XlaRecvFromHost operation.
static <T extends TType> Recv<T>	Recv.create(Scope scope, Class<T> dtype, String tensorName, org.tensorflow.ndarray.Shape shape) Factory method to create a class wrapping a new XlaRecv operation.
static <T extends TType> ConcatND<T>	ConcatND.create(Scope scope, Iterable<Operand<T>> inputs, List<Long> numConcats, ConcatND.Options... options) Factory method to create a class wrapping a new XlaConcatND operation.
static <T extends TType> ReadVariableSplitND<T>	ReadVariableSplitND.create(Scope scope, Operand<? extends TType> resource, Class<T> T, Long N, List<Long> numSplits, ReadVariableSplitND.Options... options) Factory method to create a class wrapping a new ReadVariableXlaSplitND operation.
static <W extends TType,V extends TNumber> Conv<W>	Conv.create(Scope scope, Operand<? extends TType> lhs, Operand<? extends TType> rhs, Operand<V> windowStrides, Operand<V> padding, Operand<V> lhsDilation, Operand<V> rhsDilation, Operand<V> featureGroupCount, String dimensionNumbers, String precisionConfig, Class<W> preferredElementType) Factory method to create a class wrapping a new XlaConvV2 operation.
static <V extends TType> Dot<V>	Dot.create(Scope scope, Operand<? extends TType> lhs, Operand<? extends TType> rhs, String dimensionNumbers, String precisionConfig, Class<V> preferredElementType) Factory method to create a class wrapping a new XlaDotV2 operation.
static <T extends TType> Sort<T>	Sort.create(Scope scope, Operand<T> input) Factory method to create a class wrapping a new XlaSort operation.
static <T extends TType> ClusterOutput<T>	ClusterOutput.create(Scope scope, Operand<T> input) Factory method to create a class wrapping a new XlaClusterOutput operation.
static <T extends TType> SelfAdjointEig<T>	SelfAdjointEig.create(Scope scope, Operand<T> a, Boolean lower, Long maxIter, Float epsilon) Factory method to create a class wrapping a new XlaSelfAdjointEig operation.
static <T extends TType> Svd<T>	Svd.create(Scope scope, Operand<T> a, Long maxIter, Float epsilon, String precisionConfig) Factory method to create a class wrapping a new XlaSvd operation.
static <T extends TType> SplitND<T>	SplitND.create(Scope scope, Operand<T> input, Long N, List<Long> numSplits, SplitND.Options... options) Factory method to create a class wrapping a new XlaSplitND operation.
static <T extends TType> Scatter<T>	Scatter.create(Scope scope, Operand<T> operand, Operand<? extends TNumber> scatterIndices, Operand<T> updates, ConcreteFunction updateComputation, String dimensionNumbers, Boolean indicesAreSorted) Factory method to create a class wrapping a new XlaScatter operation.
static <T extends TType> Reduce<T>	Reduce.create(Scope scope, Operand<T> input, Operand<T> initValue, List<Long> dimensionsToReduce, ConcreteFunction reducer) Factory method to create a class wrapping a new XlaReduce operation.
static <T extends TType> DynamicUpdateSlice<T>	DynamicUpdateSlice.create(Scope scope, Operand<T> input, Operand<T> update, Operand<? extends TNumber> indices) Factory method to create a class wrapping a new XlaDynamicUpdateSlice operation.
static <T extends TType> BroadcastHelper<T>	BroadcastHelper.create(Scope scope, Operand<T> lhs, Operand<T> rhs, Operand<? extends TNumber> broadcastDims) Factory method to create a class wrapping a new XlaBroadcastHelper operation.
static <T extends TType,U extends TNumber> Pad<T>	Pad.create(Scope scope, Operand<T> input, Operand<T> paddingValue, Operand<U> paddingLow, Operand<U> paddingHigh, Operand<U> paddingInterior) Factory method to create a class wrapping a new XlaPad operation.
static <T extends TType,U extends TNumber> ReduceWindow<T>	ReduceWindow.create(Scope scope, Operand<T> input, Operand<T> initValue, Operand<U> windowDimensions, Operand<U> windowStrides, Operand<U> baseDilations, Operand<U> windowDilations, Operand<U> padding, ConcreteFunction computation) Factory method to create a class wrapping a new XlaReduceWindow operation.
static <T extends TType> Einsum<T>	Einsum.create(Scope scope, Operand<T> a, Operand<T> b, String equation) Factory method to create a class wrapping a new XlaEinsum operation.
static <T extends TType> RemoveDynamicDimensionSize<T>	RemoveDynamicDimensionSize.create(Scope scope, Operand<T> input, Operand<TInt32> dimIndex) Factory method to create a class wrapping a new XlaRemoveDynamicDimensionSize operation.
static <T extends TType> SetDynamicDimensionSize<T>	SetDynamicDimensionSize.create(Scope scope, Operand<T> input, Operand<TInt32> dimIndex, Operand<TInt32> sizeOutput) Factory method to create a class wrapping a new XlaSetDynamicDimensionSize operation.
static <T extends TNumber,U extends TType> KeyValueSort<T,U>	KeyValueSort.create(Scope scope, Operand<T> keys, Operand<U> values) Factory method to create a class wrapping a new XlaKeyValueSort operation.
static <T extends TType,U extends TNumber> DynamicSlice<T>	DynamicSlice.create(Scope scope, Operand<T> input, Operand<U> startIndices, Operand<U> sizeIndices) Factory method to create a class wrapping a new XlaDynamicSlice operation.
static <T extends TType,U extends TNumber> SelectAndScatter<T>	SelectAndScatter.create(Scope scope, Operand<T> operand, Operand<U> windowDimensions, Operand<U> windowStrides, Operand<U> padding, Operand<T> source, Operand<T> initValue, ConcreteFunction select, ConcreteFunction scatter) Factory method to create a class wrapping a new XlaSelectAndScatter operation.
static <T extends TType,U extends TNumber> Gather<T>	Gather.create(Scope scope, Operand<T> operand, Operand<U> startIndices, Operand<U> sliceSizes, String dimensionNumbers, Boolean indicesAreSorted) Factory method to create a class wrapping a new XlaGather operation.
static <T extends TType> Sharding<T>	Sharding.create(Scope scope, Operand<T> input, Sharding.Options... options) Factory method to create a class wrapping a new XlaSharding operation.
static <T extends TType> SpmdShardToFullShape<T>	SpmdShardToFullShape.create(Scope scope, Operand<T> input, String manualSharding, org.tensorflow.ndarray.Shape fullShape, SpmdShardToFullShape.Options... options) Factory method to create a class wrapping a new XlaSpmdShardToFullShape operation.
static <T extends TType> SpmdFullToShardShape<T>	SpmdFullToShardShape.create(Scope scope, Operand<T> input, String manualSharding, SpmdFullToShardShape.Options... options) Factory method to create a class wrapping a new XlaSpmdFullToShardShape operation.

Methods in org.tensorflow.op.xla that return types with arguments of type TType

Modifier and Type	Method and Description
Iterator<Operand<TType>>	XlaVariadicSort.iterator()
Iterator<Operand<TType>>	XlaVariadicReduce.iterator()
Iterator<Operand<TType>>	XlaLaunch.iterator()
Iterator<Operand<TType>>	XlaHostCompute.iterator()
Iterator<Operand<TType>>	While.iterator()
Iterator<Operand<TType>>	If.iterator()
Output<? extends TType>	RngBitGenerator.outputKey() Gets outputKey.

Method parameters in org.tensorflow.op.xla with type arguments of type TType

Modifier and Type	Method and Description
static XlaLaunch	XlaLaunch.create(Scope scope, Iterable<Operand<?>> constants, Iterable<Operand<?>> args, Iterable<Operand<? extends TType>> resources, List<Class<? extends TType>> Tresults, ConcreteFunction function) Factory method to create a class wrapping a new XlaLaunch operation.
static XlaLaunch	XlaLaunch.create(Scope scope, Iterable<Operand<?>> constants, Iterable<Operand<?>> args, Iterable<Operand<? extends TType>> resources, List<Class<? extends TType>> Tresults, ConcreteFunction function) Factory method to create a class wrapping a new XlaLaunch operation.
static XlaHostCompute	XlaHostCompute.create(Scope scope, Iterable<Operand<?>> inputs, List<Class<? extends TType>> Toutputs, List<String> ancestors, List<org.tensorflow.ndarray.Shape> shapes, ConcreteFunction shapeInferenceGraph, String key, XlaHostCompute.Options... options) Factory method to create a class wrapping a new XlaHostCompute operation.
static <T extends TType> ReadVariableSplitND<T>	ReadVariableSplitND.create(Scope scope, Operand<? extends TType> resource, Class<T> T, Long N, List<Long> numSplits, ReadVariableSplitND.Options... options) Factory method to create a class wrapping a new ReadVariableXlaSplitND operation.
static Dequantize	Dequantize.create(Scope scope, Operand<? extends TType> input, Float minRange, Float maxRange, String mode, Boolean transposeOutput) Factory method to create a class wrapping a new XlaDequantize operation.
static If	If.create(Scope scope, Operand<? extends TType> cond, Iterable<Operand<?>> inputs, ConcreteFunction thenBranch, ConcreteFunction elseBranch, List<Class<? extends TType>> Tout) Factory method to create a class wrapping a new XlaIf operation.
static If	If.create(Scope scope, Operand<? extends TType> cond, Iterable<Operand<?>> inputs, ConcreteFunction thenBranch, ConcreteFunction elseBranch, List<Class<? extends TType>> Tout) Factory method to create a class wrapping a new XlaIf operation.
static AssignVariableConcatND	AssignVariableConcatND.create(Scope scope, Operand<? extends TType> resource, Iterable<Operand<? extends TType>> inputs, List<Long> numConcats, AssignVariableConcatND.Options... options) Factory method to create a class wrapping a new AssignVariableXlaConcatND operation.
static AssignVariableConcatND	AssignVariableConcatND.create(Scope scope, Operand<? extends TType> resource, Iterable<Operand<? extends TType>> inputs, List<Long> numConcats, AssignVariableConcatND.Options... options) Factory method to create a class wrapping a new AssignVariableXlaConcatND operation.
static <W extends TType,V extends TNumber> Conv<W>	Conv.create(Scope scope, Operand<? extends TType> lhs, Operand<? extends TType> rhs, Operand<V> windowStrides, Operand<V> padding, Operand<V> lhsDilation, Operand<V> rhsDilation, Operand<V> featureGroupCount, String dimensionNumbers, String precisionConfig, Class<W> preferredElementType) Factory method to create a class wrapping a new XlaConvV2 operation.
static <W extends TType,V extends TNumber> Conv<W>	Conv.create(Scope scope, Operand<? extends TType> lhs, Operand<? extends TType> rhs, Operand<V> windowStrides, Operand<V> padding, Operand<V> lhsDilation, Operand<V> rhsDilation, Operand<V> featureGroupCount, String dimensionNumbers, String precisionConfig, Class<W> preferredElementType) Factory method to create a class wrapping a new XlaConvV2 operation.
static <V extends TType> Dot<V>	Dot.create(Scope scope, Operand<? extends TType> lhs, Operand<? extends TType> rhs, String dimensionNumbers, String precisionConfig, Class<V> preferredElementType) Factory method to create a class wrapping a new XlaDotV2 operation.
static <V extends TType> Dot<V>	Dot.create(Scope scope, Operand<? extends TType> lhs, Operand<? extends TType> rhs, String dimensionNumbers, String precisionConfig, Class<V> preferredElementType) Factory method to create a class wrapping a new XlaDotV2 operation.
static XlaSendToHost	XlaSendToHost.create(Scope scope, Operand<? extends TType> input, String key) Factory method to create a class wrapping a new XlaSendToHost operation.
static Send	Send.create(Scope scope, Operand<? extends TType> tensor, String tensorName) Factory method to create a class wrapping a new XlaSend operation.
static <U extends TNumber> RngBitGenerator<U>	RngBitGenerator.create(Scope scope, Operand<TInt32> algorithm, Operand<? extends TType> initialState, Operand<? extends TNumber> shape, Class<U> dtype) Factory method to create a class wrapping a new XlaRngBitGenerator operation.

Uses of TType in org.tensorflow.types

Subinterfaces of TType in org.tensorflow.types

Modifier and Type	Interface and Description
interface	TBfloat16 Brain 16-bit float tensor type.
interface	TBool Boolean tensor type.
interface	TFloat16 IEEE-754 half-precision 16-bit float tensor type.
interface	TFloat32 IEEE-754 single-precision 32-bit float tensor type.
interface	TFloat64 IEEE-754 double-precision 64-bit float tensor type.
interface	TInt32 32-bit signed integer tensor type.
interface	TInt64 64-bit signed integer tensor type.
interface	TString String type.
interface	TUint8 8-bit unsigned integer tensor type.

Uses of TType in org.tensorflow.types.family

Subinterfaces of TType in org.tensorflow.types.family

Modifier and Type	Interface and Description
interface	TFloating Common interface for all floating point tensors.
interface	TIntegral Common interface for all integral numeric tensors.
interface	TNumber Common interface for all numeric tensors.

Methods in org.tensorflow.types.family that return types with arguments of type TType

Modifier and Type	Method and Description
Class<? extends TType>	TType.type() Returns the type of this tensor as a registered subclass of TType