- C - Static variable in interface org.nd4j.linalg.factory.NDArrayFactory
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- CachingDataSetIterator - Class in org.nd4j.linalg.dataset.api.iterator
-
Created by anton on 7/16/16.
- CachingDataSetIterator(DataSetIterator, DataSetCache, String) - Constructor for class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
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- CachingDataSetIterator(DataSetIterator, DataSetCache, String, boolean) - Constructor for class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
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- CachingDataSetIterator(DataSetIterator, DataSetCache) - Constructor for class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
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- calcRegularizationScore() - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Calculate the regularization (L1, L2 and/or WeightDecay) component of the loss function for the current parameters..
- calculateArea() - Method in class org.nd4j.evaluation.curves.BaseCurve
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- calculateArea(double[], double[]) - Method in class org.nd4j.evaluation.curves.BaseCurve
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- calculateAUC() - Method in class org.nd4j.evaluation.classification.ROC
-
Calculate the AUROC - Area Under ROC Curve
Utilizes trapezoidal integration internally
- calculateAUC(int) - Method in class org.nd4j.evaluation.classification.ROCBinary
-
Calculate the AUC - Area Under (ROC) Curve
Utilizes trapezoidal integration internally
- calculateAUC(int) - Method in class org.nd4j.evaluation.classification.ROCMultiClass
-
Calculate the AUC - Area Under ROC Curve
Utilizes trapezoidal integration internally
- calculateAUC() - Method in class org.nd4j.evaluation.curves.RocCurve
-
Calculate and return the area under ROC curve
- calculateAUCPR() - Method in class org.nd4j.evaluation.classification.ROC
-
Calculate the area under the precision/recall curve - aka AUCPR
- calculateAUCPR(int) - Method in class org.nd4j.evaluation.classification.ROCBinary
-
Calculate the AUCPR - Area Under Curve - Precision Recall
Utilizes trapezoidal integration internally
- calculateAUCPR(int) - Method in class org.nd4j.evaluation.classification.ROCMultiClass
-
Calculate the AUPRC - Area Under Curve Precision Recall
Utilizes trapezoidal integration internally
- calculateAUPRC() - Method in class org.nd4j.evaluation.curves.PrecisionRecallCurve
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- calculateAverageAuc() - Method in class org.nd4j.evaluation.classification.ROCBinary
-
Macro-average AUC for all outcomes
- calculateAverageAUC() - Method in class org.nd4j.evaluation.classification.ROCMultiClass
-
Calculate the macro-average (one-vs-all) AUC for all classes
- calculateAverageAUCPR() - Method in class org.nd4j.evaluation.classification.ROCBinary
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- calculateAverageAUCPR() - Method in class org.nd4j.evaluation.classification.ROCMultiClass
-
Calculate the macro-average (one-vs-all) AUCPR (area under precision recall curve) for all classes
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.autodiff.functions.DifferentialFunction
-
Calculate the data types for the output arrays.
- calculateOutputDataTypes() - Method in class org.nd4j.autodiff.samediff.SameDiff
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.BaseIndexAccumulation
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.BaseReduceBoolOp
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.BaseReduceFloatOp
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.BaseReduceLongOp
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.BaseReduceSameOp
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.BaseScalarBoolOp
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.BaseScalarOp
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.BaseTransformAnyOp
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.BaseTransformBoolOp
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.BaseTransformFloatOp
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.BaseTransformSameOp
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.BaseTransformStrictOp
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BiasAdd
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BiasAddGrad
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastTo
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Enter
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Exit
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.LoopCond
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Merge
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.NextIteration
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.StopGradient
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Switch
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.Select
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.Where
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppression
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.image.ResizeBilinear
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling3D
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNorm
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Col2Im
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2DDerivative
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3DDerivative
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DDerivative
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DTF
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3D
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3DDerivative
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthToSpace
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.FullConv3D
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.FullConv3DDerivative
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2col
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2colBp
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalization
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling3D
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2DDerivative
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3DDerivative
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2DDerivative
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SpaceToDepth
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2d
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2dDerivative
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.GRUCell
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMBlockCell
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayer
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.loss.BaseLoss
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.BaseLossBp
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.SparseSoftmaxCrossEntropyLossWithLogitsBp
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.loss.L2Loss
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.loss.SoftmaxCrossEntropyWithLogitsLoss
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.loss.SparseSoftmaxCrossEntropyLossWithLogits
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.loss.WeightedCrossEntropyLoss
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.BaseReductionBp
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.custom.BatchMmul
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.Mmul
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.MmulBp
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.Moments
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.NormalizeMoments
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.ZeroFraction
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.reduce3.BaseReduce3Op
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterAdd
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterDiv
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterMax
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterMin
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterMul
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterNd
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdAdd
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdSub
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdUpdate
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterSub
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterUpdate
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.ConcatBp
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.SliceBp
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.StridedSliceBp
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.TileBp
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Broadcast
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.BroadcastDynamicShape
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Concat
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Cross
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Diag
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.DiagPart
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.ExpandDims
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Eye
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Gather
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.GatherNd
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Linspace
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeAvg
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeMax
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeSum
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.MeshGrid
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.OneHot
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.OnesLike
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.ParallelStack
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Rank
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.ReductionShape
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Repeat
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Reshape
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.SequenceMask
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Shape
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.ShapeN
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Size
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.SizeAt
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Slice
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Split
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.SplitV
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Squeeze
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Stack
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.StridedSlice
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayConcat
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayGather
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayRead
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayScatter
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArraySize
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArraySplit
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayWrite
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Tile
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Transpose
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Unstack
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.ZerosLike
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.summarystats.Variance
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Assert
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.BaseDynamicTransformOp
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.BinCount
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNorm
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- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNormBp
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByValue
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Assign
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ATan2
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BatchToSpace
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Choose
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumProd
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumSum
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DotProductAttention
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DotProductAttentionBp
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicPartition
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicStitch
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.EqualTo
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Fill
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThan
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThanOrEqual
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.InTopK
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.InvertPermutation
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.IsNonDecreasing
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.IsNumericTensor
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.IsStrictlyIncreasing
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNorm
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNormBp
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LessThan
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LessThanOrEqual
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ListDiff
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogicalAnd
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogicalNot
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogicalOr
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogicalXor
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogMatrixDeterminant
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogSoftMax
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixDeterminant
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixDiag
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixDiagPart
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixInverse
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixSetDiag
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Max
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Min
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MirrorPad
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MultiHeadDotProductAttention
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MultiHeadDotProductAttentionBp
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.NotEqualTo
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ParallelConcat
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Pow
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Reverse
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ReverseSequence
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ReverseV2
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMax
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMean
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMin
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentProd
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentSum
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.SoftMax
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.SpaceToBatch
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Standardize
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.StandardizeBp
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Svd
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.TopK
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Trace
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Unique
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.UniqueWithCounts
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.XwPlusB
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Zeta
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.DynamicPartitionBp
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.GradientBackwardsMarker
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.LogSoftMaxDerivative
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.Relu6Derivative
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SigmoidDerivative
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftmaxBp
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.TanhDerivative
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.HistogramFixedWidth
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.IdentityN
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Pad
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.BaseArithmeticBackpropOp
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.SquaredDifferenceBpOp
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FloorModOp
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.MergeAddOp
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Identity
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentMaxBp
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentMeanBp
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentMinBp
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentProdBp
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentSumBp
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentMaxBp
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentMeanBp
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentMinBp
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentProdBp
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentSqrtNBp
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentSumBp
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMax
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMean
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMin
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentProd
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentSqrtN
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentSum
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.NoOp
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.BaseRandomOp
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.compat.RandomStandardNormal
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.custom.DistributionUniform
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.custom.RandomBernoulli
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.custom.RandomExponential
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.custom.RandomNormal
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.impl.LogNormalDistribution
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.impl.Range
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.impl.TruncatedNormalDistribution
-
- calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.impl.UniformDistribution
-
- calculateOutputShape() - Method in class org.nd4j.autodiff.functions.DifferentialFunction
-
Calculate the output shape for this op
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseBroadcastBoolOp
-
Calculate the output shape for this op
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseBroadcastOp
-
Calculate the output shape for this op
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseIndexAccumulation
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseReduceBoolOp
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseReduceFloatOp
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseReduceLongOp
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseReduceOp
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseReduceSameOp
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseScalarBoolOp
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseScalarOp
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseTransformAnyOp
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseTransformBoolOp
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseTransformFloatOp
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseTransformOp
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseTransformSameOp
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseTransformStrictOp
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
-
- calculateOutputShape() - Method in interface org.nd4j.linalg.api.ops.CustomOp
-
Calculate the output shape for this op
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
-
- calculateOutputShape(CustomOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- calculateOutputShape(CustomOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Enter
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Exit
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.LoopCond
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Merge
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.NextIteration
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Switch
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.IfDerivative
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.layers.ExternalErrorsFunction
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.layers.Linear
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.loss.L2Loss
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.reduce.TensorMmul
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.shape.Broadcast
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.shape.Eye
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.shape.Linspace
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.shape.Rank
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.BaseTensorOp
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArraySize
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.shape.Tile
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.shape.Transpose
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.shape.Unstack
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.summarystats.Variance
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.transforms.BaseDynamicTransformOp
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.EqualTo
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Fill
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThan
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThanOrEqual
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LessThan
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LessThanOrEqual
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.NotEqualTo
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.GradientBackwardsMarker
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.transforms.MaxOut
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.BaseArithmeticBackpropOp
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Identity
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.NoOp
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.random.BaseRandomOp
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.random.impl.Linspace
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.random.impl.Range
-
- CallableOptions - Class in org.tensorflow.framework
-
Defines a subgraph in another `GraphDef` as a set of feed points and nodes
to be fetched or executed.
- CallableOptions.Builder - Class in org.tensorflow.framework
-
Defines a subgraph in another `GraphDef` as a set of feed points and nodes
to be fetched or executed.
- CallableOptionsOrBuilder - Interface in org.tensorflow.framework
-
- callInplace(boolean) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder
-
Whether an op call is in place or not.
- CANCEL_OP_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.QueueRunnerDef
-
- CANCELLED_VALUE - Static variable in enum org.tensorflow.framework.Code
-
The operation was cancelled (typically by the caller).
- canInsert(DataBuffer, int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Return if there is enough allocated memory space to add data of a given length in the databuffer
- cast(SDVariable, DataType) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- Cast - Class in org.nd4j.linalg.api.ops.impl.transforms.dtype
-
Cast op wrapper.
- Cast() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast
-
- Cast(SameDiff, SDVariable, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast
-
- castTo(SDVariable, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- castTo(String, SDVariable, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- castTo(DataType) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- castTo(String, DataType) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- castTo(DataType) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- castTo(DataType) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- castTo(DataType) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
This method cast elements of this INDArray to new data type
- castTo(T, DataType, INDArray, boolean) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr
-
- castTo(T, DataType, INDArray, boolean) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr
-
Cast the specified array to the specified datatype.
If the array is already the correct type, the bahaviour depends on the 'dupIfCorrectType' argument.
dupIfCorrectType = false && toCast.dataType() == dataType: return input array as-is (unless workspace is wrong)
dupIfCorrectType = true && toCast.dataType() == dataType: duplicate the array into the specified workspace
- CbowRound - Class in org.nd4j.linalg.api.ops.impl.nlp
-
- CbowRound() - Constructor for class org.nd4j.linalg.api.ops.impl.nlp.CbowRound
-
- CbowRound(int, int[], int[], INDArray, INDArray, INDArray, int[], byte[], double, long, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.nlp.CbowRound
-
hs round
- CbowRound(int, int[], int[], int, INDArray, INDArray, INDArray, INDArray, int, double, long, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.nlp.CbowRound
-
ns round
- CbowRound(INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, int, INDArray, INDArray, INDArray, INDArray, boolean, int) - Constructor for class org.nd4j.linalg.api.ops.impl.nlp.CbowRound
-
full constructor
- ceil(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- ceil(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Element-wise ceiling function: out = ceil(x).
- ceil(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Element-wise ceiling function: out = ceil(x).
- Ceil - Class in org.nd4j.linalg.api.ops.impl.transforms.same
-
Ceiling elementwise function
- Ceil(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Ceil
-
- Ceil(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Ceil
-
- Ceil() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Ceil
-
- Ceil(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Ceil
-
- Ceil(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Ceil
-
- ceil(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- ceil(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- ceiling(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Binary matrix of whether the number at a given index is greater than
- ceiling(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Ceiling function
- checkAdd(INDArray, INDArray, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
Same as checkMmul, but for matrix addition
- checkAllModelsForImport(File) - Static method in class org.nd4j.imports.tensorflow.TensorFlowImportValidator
-
Recursively scan the specified directory for .pb files, and evaluate
- checkArrangeArray(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- checkBufferCoherence() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Check that the length of indices and values are coherent and matches the rank of the matrix.
- checkDeserializedEquality(SameDiff, ByteBuffer, TestCase) - Static method in class org.nd4j.autodiff.validation.OpValidation
-
- checkDivManually(INDArray, INDArray, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- checkEntries(RealMatrix, INDArray, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- checkEntries(INDArray, INDArray, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- checkForAny(INDArray) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
- checkForCompression(Op) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- checkForInf(INDArray) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
- checkForInf(Op) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
- checkForInf(CustomOp) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
- checkForNaN(INDArray) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
- checkForNaN(Op) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
- checkForNaN(CustomOp) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
- checkForWorkspaces(CustomOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- checkForWorkspaces(Op) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- checkGemm(INDArray, INDArray, INDArray, boolean, boolean, double, double, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- checkGradients(TestCase) - Static method in class org.nd4j.autodiff.validation.GradCheckUtil
-
- checkGradients(SameDiff, Map<String, INDArray>, String...) - Static method in class org.nd4j.autodiff.validation.GradCheckUtil
-
- checkGradients(SameDiff, Map<String, INDArray>, boolean, boolean) - Static method in class org.nd4j.autodiff.validation.GradCheckUtil
-
- checkGradients(SameDiff, Map<String, INDArray>, double, double, double, boolean, boolean) - Static method in class org.nd4j.autodiff.validation.GradCheckUtil
-
- checkGradients(SameDiff, Map<String, INDArray>, double, double, double, boolean, boolean, boolean, boolean, Set<String>, Map<String, INDArray>) - Static method in class org.nd4j.autodiff.validation.GradCheckUtil
-
- checkIfExists(T) - Method in class org.nd4j.linalg.memory.stash.BasicStash
-
- checkIfExists(T) - Method in interface org.nd4j.linalg.memory.stash.Stash
-
- checkIfStashExists(T) - Method in class org.nd4j.linalg.memory.stash.BasicStashManager
-
- checkIfStashExists(T) - Method in interface org.nd4j.linalg.memory.stash.StashManager
-
- checkIfWorkspaceExists(String) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
This method checks, if Workspace with a given Id was created before this call
- checkIfWorkspaceExistsAndActive(String) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
- checkInfo(String, int) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- checkInfo(String, int) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- checkInfo(String, int) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- checkMmul(INDArray, INDArray, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
Check first.mmul(second) using Apache commons math mmul.
- checkModelForImport(File) - Static method in class org.nd4j.imports.tensorflow.TensorFlowImportValidator
-
- checkMulManually(INDArray, INDArray, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- CHECKPOINT_KEY_FIELD_NUMBER - Static variable in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
-
- CheckpointableObjectGraphOuterClass - Class in tensorflow
-
- CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph - Class in tensorflow
-
Protobuf type tensorflow.CheckpointableObjectGraph
- CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder - Class in tensorflow
-
Protobuf type tensorflow.CheckpointableObjectGraph
- CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject - Class in tensorflow
-
Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject
- CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder - Class in tensorflow
-
Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject
- CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference - Class in tensorflow
-
Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
- CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder - Class in tensorflow
-
Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
- CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReferenceOrBuilder - Interface in tensorflow
-
- CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor - Class in tensorflow
-
Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
- CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder - Class in tensorflow
-
Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
- CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensorOrBuilder - Interface in tensorflow
-
- CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference - Class in tensorflow
-
Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
- CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder - Class in tensorflow
-
Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
- CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReferenceOrBuilder - Interface in tensorflow
-
- CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder - Interface in tensorflow
-
- CheckpointableObjectGraphOuterClass.CheckpointableObjectGraphOrBuilder - Interface in tensorflow
-
- checkShapeValues(long[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- checkShapeValues(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- checkShapeValues(int, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- checkShapeValues(int, long[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- checkSubtract(INDArray, INDArray, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
Same as checkMmul, but for matrix subtraction
- CheckUtil - Class in org.nd4j.linalg.checkutil
-
- CheckUtil() - Constructor for class org.nd4j.linalg.checkutil.CheckUtil
-
- checkVersions() - Static method in class org.nd4j.versioncheck.VersionCheck
-
Perform a check of the versions of ND4J, DL4J, DataVec, RL4J and Arbiter dependencies, logging a warning
if necessary.
- checkWorkspace(String, INDArray) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- childNodes - Variable in class org.nd4j.autodiff.samediff.transform.SubGraph
-
- CHILDREN_FIELD_NUMBER - Static variable in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
- Choice - Class in org.nd4j.linalg.api.ops.random.impl
-
This Op implements numpy.choice method
It fills Z from source, following probabilities for each source element
- Choice() - Constructor for class org.nd4j.linalg.api.ops.random.impl.Choice
-
- Choice(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.Choice
-
- choice(INDArray, INDArray, INDArray, Random) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method samples value from Source array to Target, with probabilites provided in Probs argument
- choice(INDArray, INDArray, INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method samples value from Source array to Target, with probabilites provided in Probs argument
- choice(INDArray, INDArray, int, Random) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method returns new INDArray instance, sampled from Source array with probabilities given in Probs
- choice(INDArray, INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method returns new INDArray instance, sampled from Source array with probabilities given in Probs
- Cholesky - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Cholesky op wrapper
- Cholesky() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cholesky
-
- Choose - Class in org.nd4j.linalg.api.ops.impl.transforms.custom
-
This op allows us to (based on the passed in condition)
to return the element fulfilling the condition.
- Choose(SameDiff, SDVariable[], Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Choose
-
- Choose(String, INDArray[], INDArray[], List<Double>, List<Integer>) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Choose
-
- Choose(String, INDArray[], Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Choose
-
- Choose(INDArray[], Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Choose
-
- Choose(INDArray[], List<Integer>, List<Double>, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Choose
-
Note that iArgs (integer arguments) and tArgs(double/float arguments)
may end up being used under the following conditions:
scalar operations (if a scalar is specified the you do not need to specify an ndarray)
otherwise, if an ndarray is needed as a second input then put it in the inputs
Usually, you only need 1 input (the equivalent of the array you're trying to do indexing on)
- Choose(String, SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Choose
-
- Choose() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Choose
-
- chooseFrom(INDArray[], Condition) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
-
Choose from the inputs based on the given condition.
- chooseFrom(INDArray[], List<Double>, List<Integer>, Condition) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
-
Choose from the inputs based on the given condition.
- classCount(Integer) - Method in class org.nd4j.evaluation.classification.Evaluation
-
Returns the number of times the given label
has actually occurred
- classEquals(Class<?>) - Static method in class org.nd4j.autodiff.samediff.transform.OpPredicate
-
Return true if the operation class is equal to the specified class
- classesDim - Variable in class org.nd4j.linalg.api.ops.impl.loss.bp.SoftmaxCrossEntropyWithLogitsLossBp
-
- classesDim - Variable in class org.nd4j.linalg.api.ops.impl.loss.SoftmaxCrossEntropyWithLogitsLoss
-
- CleanupAllRequest - Class in org.tensorflow.distruntime
-
Protobuf type tensorflow.CleanupAllRequest
- CleanupAllRequest.Builder - Class in org.tensorflow.distruntime
-
Protobuf type tensorflow.CleanupAllRequest
- CleanupAllRequestOrBuilder - Interface in org.tensorflow.distruntime
-
- CleanupAllResponse - Class in org.tensorflow.distruntime
-
Protobuf type tensorflow.CleanupAllResponse
- CleanupAllResponse.Builder - Class in org.tensorflow.distruntime
-
Protobuf type tensorflow.CleanupAllResponse
- CleanupAllResponseOrBuilder - Interface in org.tensorflow.distruntime
-
- CleanupGraphRequest - Class in org.tensorflow.distruntime
-
Protobuf type tensorflow.CleanupGraphRequest
- CleanupGraphRequest.Builder - Class in org.tensorflow.distruntime
-
Protobuf type tensorflow.CleanupGraphRequest
- CleanupGraphRequestOrBuilder - Interface in org.tensorflow.distruntime
-
- CleanupGraphResponse - Class in org.tensorflow.distruntime
-
Protobuf type tensorflow.CleanupGraphResponse
- CleanupGraphResponse.Builder - Class in org.tensorflow.distruntime
-
Protobuf type tensorflow.CleanupGraphResponse
- CleanupGraphResponseOrBuilder - Interface in org.tensorflow.distruntime
-
- clear() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
- clear() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
- clear() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
- clear() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
- clear() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
- clear() - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
- clear() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
- clear() - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
- clear() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
- clear() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
- clear() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
- clear() - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
- clear() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
- clear() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
- clear() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
- clear() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
- clear() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
- clear() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
- clear() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
- clear() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
- clear() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
- clear() - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
- clear() - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
- clear() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
- clear() - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
- clear() - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
- clear() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
- clear() - Method in class onnx.OnnxProto3.TypeProto.Builder
-
- clear() - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
- clear() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
- clear() - Method in class org.nd4j.linalg.api.ops.performance.PerformanceTracker
-
- clear() - Method in class org.nd4j.linalg.api.ops.performance.primitives.AveragingTransactionsHolder
-
- clear() - Method in interface org.nd4j.linalg.compression.AbstractStorage
-
This method purges everything from storage
- clear() - Method in class org.nd4j.linalg.util.DeviceLocal
-
This method removes object stored for current device
- clear() - Method in class org.nd4j.list.BaseNDArrayList
-
- clear() - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
-
- clear() - Method in class org.nd4j.list.NDArrayList
-
- clear() - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder
-
- clear() - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder
-
- clear() - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder
-
- clear() - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder
-
- clear() - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder
-
- clear() - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder
-
- clear() - Method in class org.tensorflow.distruntime.ClusterDef.Builder
-
- clear() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
- clear() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
- clear() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
- clear() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder
-
- clear() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
-
- clear() - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder
-
- clear() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
- clear() - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
-
- clear() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
-
- clear() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
-
- clear() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
- clear() - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder
-
- clear() - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder
-
- clear() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
- clear() - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder
-
- clear() - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder
-
- clear() - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
-
- clear() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder
-
- clear() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
- clear() - Method in class org.tensorflow.distruntime.JobDef.Builder
-
- clear() - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder
-
- clear() - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder
-
- clear() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
- clear() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
-
- clear() - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
-
- clear() - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder
-
- clear() - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder
-
- clear() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
- clear() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder
-
- clear() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
- clear() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
-
- clear() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
- clear() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
-
- clear() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
- clear() - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder
-
- clear() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder
-
- clear() - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder
-
- clear() - Method in class org.tensorflow.distruntime.ResetRequest.Builder
-
- clear() - Method in class org.tensorflow.distruntime.ResetResponse.Builder
-
- clear() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
-
- clear() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
-
- clear() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
- clear() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
- clear() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
- clear() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
- clear() - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
- clear() - Method in class org.tensorflow.distruntime.StepSequence.Builder
-
- clear() - Method in class org.tensorflow.distruntime.TraceOpts.Builder
-
- clear() - Method in class org.tensorflow.distruntime.TracingRequest.Builder
-
- clear() - Method in class org.tensorflow.distruntime.TracingResponse.Builder
-
- clear() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
- clear() - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
- clear() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
- clear() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
- clear() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
- clear() - Method in class org.tensorflow.framework.ApiDef.Builder
-
- clear() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
- clear() - Method in class org.tensorflow.framework.ApiDefs.Builder
-
- clear() - Method in class org.tensorflow.framework.AssetFileDef.Builder
-
- clear() - Method in class org.tensorflow.framework.AttrValue.Builder
-
- clear() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
- clear() - Method in class org.tensorflow.framework.AutoParallelOptions.Builder
-
- clear() - Method in class org.tensorflow.framework.CallableOptions.Builder
-
- clear() - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
-
- clear() - Method in class org.tensorflow.framework.CollectionDef.Builder
-
- clear() - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder
-
- clear() - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder
-
- clear() - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder
-
- clear() - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder
-
- clear() - Method in class org.tensorflow.framework.CondContextDef.Builder
-
- clear() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
- clear() - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder
-
- clear() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder
-
- clear() - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
- clear() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
- clear() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
- clear() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
- clear() - Method in class org.tensorflow.framework.CriticalSectionDef.Builder
-
- clear() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder
-
- clear() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
- clear() - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
-
- clear() - Method in class org.tensorflow.framework.DebugOptions.Builder
-
- clear() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
- clear() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
- clear() - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
- clear() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
- clear() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
- clear() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
- clear() - Method in class org.tensorflow.framework.GPUOptions.Builder
-
- clear() - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
-
- clear() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
-
- clear() - Method in class org.tensorflow.framework.GradientDef.Builder
-
- clear() - Method in class org.tensorflow.framework.GraphDef.Builder
-
- clear() - Method in class org.tensorflow.framework.GraphOptions.Builder
-
- clear() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
- clear() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
- clear() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
- clear() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
- clear() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
- clear() - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder
-
- clear() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
- clear() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
-
- clear() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
- clear() - Method in class org.tensorflow.framework.InterconnectLink.Builder
-
- clear() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
- clear() - Method in class org.tensorflow.framework.KernelDef.Builder
-
- clear() - Method in class org.tensorflow.framework.LocalLinks.Builder
-
- clear() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
- clear() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
- clear() - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
- clear() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
- clear() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
- clear() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
- clear() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
- clear() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
- clear() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
- clear() - Method in class org.tensorflow.framework.NameAttrList.Builder
-
- clear() - Method in class org.tensorflow.framework.NamedTensorProto.Builder
-
- clear() - Method in class org.tensorflow.framework.NodeDef.Builder
-
- clear() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
- clear() - Method in class org.tensorflow.framework.NodeOutput.Builder
-
- clear() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
- clear() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
- clear() - Method in class org.tensorflow.framework.OpDef.Builder
-
- clear() - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
- clear() - Method in class org.tensorflow.framework.OpList.Builder
-
- clear() - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
- clear() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
- clear() - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
- clear() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
- clear() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
- clear() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
- clear() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
- clear() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
- clear() - Method in class org.tensorflow.framework.RPCOptions.Builder
-
- clear() - Method in class org.tensorflow.framework.RunMetadata.Builder
-
- clear() - Method in class org.tensorflow.framework.RunOptions.Builder
-
- clear() - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder
-
- clear() - Method in class org.tensorflow.framework.SavedModel.Builder
-
- clear() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
- clear() - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder
-
- clear() - Method in class org.tensorflow.framework.SignatureDef.Builder
-
- clear() - Method in class org.tensorflow.framework.StepStats.Builder
-
- clear() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
- clear() - Method in class org.tensorflow.framework.Summary.Builder
-
- clear() - Method in class org.tensorflow.framework.Summary.Image.Builder
-
- clear() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
- clear() - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
- clear() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
- clear() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
- clear() - Method in class org.tensorflow.framework.TensorConnection.Builder
-
- clear() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
- clear() - Method in class org.tensorflow.framework.TensorInfo.Builder
-
- clear() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
- clear() - Method in class org.tensorflow.framework.TensorProto.Builder
-
- clear() - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
- clear() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
- clear() - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
- clear() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
- clear() - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder
-
- clear() - Method in class org.tensorflow.framework.ValuesDef.Builder
-
- clear() - Method in class org.tensorflow.framework.VariableDef.Builder
-
- clear() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
- clear() - Method in class org.tensorflow.framework.VersionDef.Builder
-
- clear() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
- clear() - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
- clear() - Method in class org.tensorflow.util.BundleHeaderProto.Builder
-
- clear() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
- clear() - Method in class org.tensorflow.util.SaverDef.Builder
-
- clear() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
-
- clear() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
- clear() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
-
- clear() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
- clear() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
-
- clear() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
- clear() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder
-
- clear() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
-
- clear() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
-
- clear() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
- clear() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
- clear() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
- clear() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
-
- clear() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
-
- clear() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
-
- clear() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
- clear() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
- clear() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
-
- clear() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
-
- clear() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
-
- clear() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
-
- clear() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
-
- clear() - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder
-
- CLEAR_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.LoggingRequest
-
- clearAliasInputPort() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
If >= 0, the output is an alias of an input.
- clearAllEndRelMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 all_end_rel_micros = 5;
- clearAllocatedBytes() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Total number of bytes allocated if known
- clearAllocationDescription() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Information about the size and allocator used for the data
- clearAllocationId() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Identifier of the allocated buffer if known
- clearAllocationId() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Id of the tensor buffer being allocated, used to match to a
corresponding deallocation.
- clearAllocationId() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Id of the tensor buffer being deallocated, used to match to a
corresponding allocation.
- clearAllocationId() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
Id of the tensor buffer being deallocated, used to match to a
corresponding allocation.
- clearAllocationRecords() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- clearAllocatorBytesInUse() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
These are snapshots of the overall allocator memory stats.
- clearAllocatorName() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Name of the allocator used
- clearAllocatorName() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
string allocator_name = 1;
- clearAllocatorName() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Name of the allocator used.
- clearAllocatorName() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Name of the allocator used.
- clearAllocatorName() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
Name of the allocator used.
- clearAllocatorType() - Method in class org.tensorflow.framework.GPUOptions.Builder
-
The type of GPU allocation strategy to use.
- clearAllocBytes() - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
Number of bytes allocated, or de-allocated if negative.
- clearAllocMicros() - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
The timestamp of the operation.
- clearAllowedValues() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
A list of values that this kernel supports for this attr.
- clearAllowedValues() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
The set of allowed values.
- clearAllowGrowth() - Method in class org.tensorflow.framework.GPUOptions.Builder
-
If true, the allocator does not pre-allocate the entire specified
GPU memory region, instead starting small and growing as needed.
- clearAllowSoftPlacement() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Whether soft placement is allowed.
- clearAllowsUninitializedInput() - Method in class org.tensorflow.framework.OpDef.Builder
-
By default, all inputs to an Op must be initialized Tensors.
- clearAllStartMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 all_start_micros = 2;
- clearAnyInfo() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
A serialized protobuf.
- clearAnyList() - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.AnyList any_list = 5;
- clearArgOrder() - Method in class org.tensorflow.framework.ApiDef.Builder
-
List of original in_arg names to specify new argument order.
- clearArithmeticOptimization() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Arithmetic optimizations (default is ON)
e.g.
- clearAssetFileDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
Asset file def to be used with the defined graph.
- clearAsync() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
Whether the ops on the worker should be executed synchronously or
asynchronously.
- clearAttr() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- clearAttr() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
- clearAttr() - Method in class org.tensorflow.framework.NameAttrList.Builder
-
- clearAttr() - Method in class org.tensorflow.framework.NodeDef.Builder
-
- clearAttr() - Method in class org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- clearAttribute() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
Additional named attributes.
- clearAttribute() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
Additional named attributes.
- clearAttributes() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Serialized data specific to this object.
- clearAttrs() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
- clearAudio() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Audio audio = 6;
- clearAutoParallel() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Configures AutoParallel optimization passes either through the
meta-optimizer or when manually specified through the optimizers field.
- clearB() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"bool"
- clearB() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(bool)"
- clearBackProp() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Whether backprop is enabled for this while loop.
- clearBadConsumers() - Method in class org.tensorflow.framework.VersionDef.Builder
-
Specific consumer versions which are disallowed (e.g.
- clearBandwidth() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Memory bandwidth in KB/s
- clearBegin() - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
int64 begin = 1;
- clearBegin() - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
int64 begin = 1;
- clearBoolVal() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_BOOL
- clearBranch() - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Branch prediction.
- clearBucket() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
repeated double bucket = 7 [packed = true];
- clearBucketLimit() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- clearBufPtr() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
When RDMA is in use, address of destination field on client.
- clearBufPtr() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
-
Address of source field on server.
- clearBufRendezvousKey() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Arbitrary string identifying a BufRendezvous entry.
- clearBuildCostModel() - Method in class org.tensorflow.framework.GraphOptions.Builder
-
The number of steps to run before returning a cost model detailing
the memory usage and performance of each node of the graph.
- clearBuildCostModelAfter() - Method in class org.tensorflow.framework.GraphOptions.Builder
-
The number of steps to skip before collecting statistics for the
cost model.
- clearBusId() - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
Optional bus locality of device.
- clearBytes() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
Byte size of the file.
- clearBytesList() - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.BytesList bytes_list = 2;
- clearCancelOpName() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
The operation to run to cancel the queue.
- clearCheckpointKey() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
The generated name of the Tensor in the checkpoint.
- clearChildren() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Objects which this object depends on.
- clearClear() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
-
If true, discard any saved logging data (for all steps).
- clearClientLocality() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional information on client-side device locality.
- clearClientLocality() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Optional information on client-side device locality.
- clearCloseOpName() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
The operation to run to close the queue.
- clearCluster() - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
The cluster of which this server is a member.
- clearClusterDef() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Optional list of all workers to use in this session.
- clearCollectionDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
- clearCollectiveGraphKey() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
If graph_def contains any collective ops this must be a positive
integer used to coordinate execution with other graphs.
- clearCollectiveGraphKey() - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder
-
If non-zero, declares that this graph is going to use collective
ops and must synchronize step_ids with any other graph with this
same group_key value (in a distributed computation where tasks
run disjoint graphs).
- clearCollectiveGroupLeader() - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder
-
Task name for group resolution.
- clearColorspace() - Method in class org.tensorflow.framework.Summary.Image.Builder
-
Valid colorspace values are
1 - grayscale
2 - grayscale + alpha
3 - RGB
4 - RGBA
5 - DIGITAL_YUV
6 - BGRA
- clearComputeCost() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Estimate of the computational cost of this node, in microseconds.
- clearComputeTime() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Analytical estimate of the computational cost of this node, in
microseconds.
- clearCondCtxt() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder
-
.tensorflow.CondContextDef cond_ctxt = 1;
- clearConfig() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
-
Configuration options.
- clearConstantFolding() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Fold constants (default is ON)
Statically infer the value of tensors when possible, and materialize the
result using constants.
- clearConstNodeInfo() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- clearConstraint() - Method in class org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- clearContainer() - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder
-
A list of container names.
- clearContainer() - Method in class org.tensorflow.distruntime.ResetRequest.Builder
-
A list of container names, which may be empty.
- clearContainer() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Container in which this resource is placed.
- clearContent() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
The content to store for the plugin.
- clearContentType() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
string content_type = 5;
- clearContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
-
fixed64 context_id = 1;
- clearContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
The ID of the created context.
- clearContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
fixed64 context_id = 1;
- clearContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
-
fixed64 context_id = 1;
- clearContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
-
fixed64 context_id = 1;
- clearContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
-
fixed64 context_id = 1;
- clearContextName() - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Name of the context.
- clearContextName() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Name of the context.
- clearControlInput() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Ids of the control inputs for this node.
- clearControlOpIds() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
Control Operation IDs that will be respected when ops are re-ordered by
async execution.
- clearCooSparse() - Method in class org.tensorflow.framework.TensorInfo.Builder
-
There are many possible encodings of sparse matrices
(https://en.wikipedia.org/wiki/Sparse_matrix).
- clearCostGraph() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
.tensorflow.CostGraphDef cost_graph = 3;
- clearCostGraph() - Method in class org.tensorflow.framework.RunMetadata.Builder
-
The cost graph for the computation defined by the run call.
- clearCrc32C() - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
The CRC32C checksum of the tensor bytes.
- clearCreateWorkerSessionCalled() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
Set to true if `CreateWorkerSession` was called for `session_handle`.
- clearCreateWorkerSessionCalled() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Set to true if `CreateWorkerSession` was called for `session_handle`.
- clearCreateWorkerSessionCalled() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
Set to true if `CreateWorkerSession` was called for `session_handle`.
- clearCriticalSectionName() - Method in class org.tensorflow.framework.CriticalSectionDef.Builder
-
Name of the critical section handle.
- clearCtxt() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder
-
- clearCurrentGraphVersion() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
REQUIRED: The version number of the graph to be extended.
- clearCurrentWork() - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
bytes current_work = 4;
- clearCustomOptimizers() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
list of CustomGraphOptimizers to apply.
- clearData() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
bytes data = 4;
- clearDataType() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
The data type of the tensor.
- clearDataType() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
The data type of the tensor.
- clearDataType() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
.tensorflow.DataType data_type = 3;
- clearDcomplexVal() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX128.
- clearDebugOps() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
Name(s) of the debugging op(s).
- clearDebugOptions() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Field(s) used by TensorFlow Debugger (tfdbg).
- clearDebugOptions() - Method in class org.tensorflow.framework.RunOptions.Builder
-
EXPERIMENTAL.
- clearDebugStripper() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Strips debug-related nodes from the graph (off by default).
- clearDebugTensorWatchOpts() - Method in class org.tensorflow.framework.DebugOptions.Builder
-
Debugging options
- clearDebugUrls() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
URL(s) for debug targets(s).
- clearDefaultGraphInputTensorShape() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- clearDefaultGraphOutputTensorShape() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- clearDefaultSessionConfig() - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
The default configuration for sessions that run on this server.
- clearDefaultValue() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Specify a new default value to use for this attr.
- clearDefaultValue() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
A reasonable default for this attribute if the user does not supply
a value.
- clearDeferred() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
True if the deallocation is queued and will be performed later,
e.g.
- clearDeferredDeletionBytes() - Method in class org.tensorflow.framework.GPUOptions.Builder
-
Delay deletion of up to this many bytes to reduce the number of
interactions with gpu driver code.
- clearDenseShapeTensorName() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
The dynamic logical shape represented by the SparseTensor is recorded in
the Tensor referenced here.
- clearDependencyOptimization() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Control dependency optimizations (default is ON).
- clearDeprecation() - Method in class org.tensorflow.framework.OpDef.Builder
-
Optional deprecation based on GraphDef versions.
- clearDeprecationMessage() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
If this endpoint is deprecated, set deprecation_message to a
message that should be logged when the endpoint is used.
- clearDescription() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
Note: this will replace any inherited arg doc.
- clearDescription() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Note: this will replace any inherited attr doc, there is no current
way of modifying attr descriptions as can be done with op descriptions.
- clearDescription() - Method in class org.tensorflow.framework.ApiDef.Builder
-
Additional, longer human-readable description of what the Op does.
- clearDescription() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Human readable description.
- clearDescription() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
Human-readable description.
- clearDescription() - Method in class org.tensorflow.framework.OpDef.Builder
-
Additional, longer human-readable description of what the Op does.
- clearDescriptionPrefix() - Method in class org.tensorflow.framework.ApiDef.Builder
-
Modify an existing/inherited description by adding text to the beginning
or end.
- clearDescriptionSuffix() - Method in class org.tensorflow.framework.ApiDef.Builder
-
string description_suffix = 10;
- clearDestination() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Destination of graph transfer
- clearDevice() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
string device = 10;
- clearDevice() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
The device of the node.
- clearDevice() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
string device = 1;
- clearDevice() - Method in class org.tensorflow.framework.NodeDef.Builder
-
A (possibly partial) specification for the device on which this
node should be placed.
- clearDevice() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Unique name for the device containing the resource.
- clearDevice() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
string device = 6;
- clearDeviceAttributes() - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- clearDeviceAttributes() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
List of devices that are locally accessible to the worker.
- clearDeviceCount() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
- clearDeviceFilters() - Method in class org.tensorflow.distruntime.ResetRequest.Builder
-
When any filters are present, only devices that match the filters
will be reset.
- clearDeviceFilters() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
When any filters are present sessions will ignore all devices which do not
match the filters.
- clearDeviceId() - Method in class org.tensorflow.framework.InterconnectLink.Builder
-
int32 device_id = 1;
- clearDeviceName() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
repeated string device_name = 4;
- clearDeviceName() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
repeated string device_name = 5;
- clearDevicePersistentMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Deprecated.
- clearDevicePersistentMemorySize() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
Deprecated.
- clearDevicePersistentTensorAllocIds() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
Deprecated.
- clearDeviceTempMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Deprecated.
- clearDeviceTempMemorySize() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
Deprecated.
- clearDeviceType() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
string device_type = 3;
- clearDeviceType() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
string device_type = 3;
- clearDeviceType() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
string device_type = 8;
- clearDeviceType() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
String representation of device_type.
- clearDeviceType() - Method in class org.tensorflow.framework.KernelDef.Builder
-
Type of device this kernel runs on.
- clearDevStats() - Method in class org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- clearDim() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- clearDim() - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- clearDim() - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- clearDimParam() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
namespace Shape
- clearDimParam() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
namespace Shape
- clearDims() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
The shape of the tensor.
- clearDims() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
The shape of the tensor.
- clearDimValue() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
int64 dim_value = 1;
- clearDimValue() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
int64 dim_value = 1;
- clearDisableModelPruning() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
If true, don't remove unnecessary ops from the graph
- clearDisableRpcLogging() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
-
If true, RPC logging will be disabled.
- clearDisplayName() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Display name for viewing in TensorBoard.
- clearDmaOk() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
If true, use an out-of-band DMA mechanism to transfer the
received tensor.
- clearDoCommonSubexpressionElimination() - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
If true, optimize the graph using common subexpression elimination.
- clearDoConstantFolding() - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
If true, perform constant folding optimization on the graph.
- clearDocString() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
A human-readable documentation for this attribute.
- clearDocString() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A human-readable documentation for this graph.
- clearDocString() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
A human-readable documentation for this model.
- clearDocString() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
A human-readable documentation for this node.
- clearDocString() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
A human-readable documentation for this tensor.
- clearDocString() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
A human-readable documentation for this value.
- clearDocString() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
A human-readable documentation for this operator.
- clearDocString() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
A human-readable documentation for this set of operators.
- clearDocString() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
A human-readable documentation for this attribute.
- clearDocString() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A human-readable documentation for this graph.
- clearDocString() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
A human-readable documentation for this model.
- clearDocString() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
A human-readable documentation for this node.
- clearDocString() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
A human-readable documentation for this tensor.
- clearDocString() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
A human-readable documentation for this value.
- clearDoFunctionInlining() - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
If true, perform function inlining on the graph.
- clearDomain() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Domain name of the model.
- clearDomain() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
The domain of the OperatorSet that specifies the operator named by op_type.
- clearDomain() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
The domain of the operator set being identified.
- clearDomain() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).
- clearDomain() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Domain name of the model.
- clearDomain() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
The domain of the OperatorSet that specifies the operator named by op_type.
- clearDomain() - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
The domain of the operator set being identified.
- clearDoubleData() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- clearDoubleData() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- clearDoubleVal() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_DOUBLE.
- clearDstDevice() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
string dst_device = 9;
- clearDtype() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
.tensorflow.DataType dtype = 4;
- clearDtype() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
.tensorflow.DataType dtype = 5;
- clearDtype() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
.tensorflow.DataType dtype = 3;
- clearDtype() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
.tensorflow.DataType dtype = 3;
- clearDtype() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
.tensorflow.DataType dtype = 1;
- clearDtype() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Data type of tensor elements
- clearDtype() - Method in class org.tensorflow.framework.TensorInfo.Builder
-
.tensorflow.DataType dtype = 2;
- clearDtype() - Method in class org.tensorflow.framework.TensorProto.Builder
-
.tensorflow.DataType dtype = 1;
- clearDtype() - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
The tensor dtype and shape.
- clearDuration() - Method in class org.tensorflow.distruntime.TraceOpts.Builder
-
Length of the trace to be taken, in seconds.
- clearElemType() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
The type and optional shape of each element of the sequence.
- clearElemType() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- clearElemType() - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- clearEnable() - Method in class org.tensorflow.framework.AutoParallelOptions.Builder
-
bool enable = 1;
- clearEnableBfloat16Sendrecv() - Method in class org.tensorflow.framework.GraphOptions.Builder
-
If true, transfer float values between processes as bfloat16.
- clearEnableOp() - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder
-
If present, only perform optimization for these ops.
- clearEnableRecvScheduling() - Method in class org.tensorflow.framework.GraphOptions.Builder
-
If true, use control flow to schedule the activation of Recv nodes.
- clearEnableRpcLogging() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
-
If true, RPC logging will be enabled.
- clearEncodedAudioString() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
Encoded audio data and its associated RFC 2045 content type (e.g.
- clearEncodedImageString() - Method in class org.tensorflow.framework.Summary.Image.Builder
-
Image data in encoded format.
- clearEncoding() - Method in class org.tensorflow.framework.TensorInfo.Builder
-
- clearEnd() - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
int64 end = 2;
- clearEnd() - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
int64 end = 2;
- clearEndianness() - Method in class org.tensorflow.util.BundleHeaderProto.Builder
-
.tensorflow.BundleHeaderProto.Endianness endianness = 2;
- clearEndpoint() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- clearEnqueueOpName() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
A list of enqueue operations.
- clearEnvironment() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
- clearExclusiveResourceAccess() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder
-
Whether this operation requires exclusive access to its resources,
(i.e., no other CriticalSections may request the same resources).
- clearExecOpts() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
Options for this step.
- clearExecuteInCriticalSectionName() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder
-
Name of the critical section handle.
- clearExecutorName() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Executor's name
- clearExperimental() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
.tensorflow.ConfigProto.Experimental experimental = 16;
- clearExperimental() - Method in class org.tensorflow.framework.GPUOptions.Builder
-
Everything inside experimental is subject to change and is not subject
to API stability guarantees in
https://www.tensorflow.org/guide/version_compat.
- clearExperimental() - Method in class org.tensorflow.framework.RunOptions.Builder
-
.tensorflow.RunOptions.Experimental experimental = 8;
- clearExplanation() - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
Explanation of why it was deprecated and what to use instead.
- clearExtent() - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- clearExternalAllocations() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- clearExternalValues() - Method in class org.tensorflow.framework.ValuesDef.Builder
-
- clearF() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
Exactly ONE of the following fields must be present for this version of the IR
- clearF() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
Exactly ONE of the following fields must be present for this version of the IR
- clearF() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"float"
- clearF() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(float)"
- clearFeed() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Tensors to be fed in future steps.
- clearFeed() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- clearFeed() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Tensors to be fed in the step.
- clearFeed() - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Tensors to be fed in the callable.
- clearFetch() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Fetches.
- clearFetch() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- clearFetch() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Fetches.
- clearFetch() - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Fetches.
- clearFetchStepId() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
-
When set, requests all saved log data pertaining to the step.
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxProto3.TypeProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.ClusterDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.JobDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.ResetRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.ResetResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.StepSequence.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.TraceOpts.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.TracingRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.TracingResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ApiDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ApiDefs.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.AssetFileDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.AttrValue.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.AutoParallelOptions.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CallableOptions.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CollectionDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CondContextDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CriticalSectionDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.DebugOptions.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GPUOptions.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GradientDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphOptions.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.InterconnectLink.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.KernelDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.LocalLinks.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.NameAttrList.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.NamedTensorProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.NodeDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.NodeOutput.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.OpDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.OpList.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.RPCOptions.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.RunMetadata.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.RunOptions.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.SavedModel.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.SignatureDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.StepStats.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.Summary.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.Summary.Image.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.TensorConnection.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.TensorDescription.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.TensorInfo.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.TensorProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ValuesDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.VariableDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.VersionDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.util.BundleHeaderProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.util.SaverDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder
-
- clearFilename() - Method in class org.tensorflow.framework.AssetFileDef.Builder
-
The filename within an assets directory.
- clearFilenameTensorName() - Method in class org.tensorflow.util.SaverDef.Builder
-
The name of the tensor in which to specify the filename when saving or
restoring a model checkpoint.
- clearFilePath() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
Path to the source code file.
- clearFloatData() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- clearFloatData() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- clearFloatList() - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.FloatList float_list = 4;
- clearFloats() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of floats
- clearFloats() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of floats
- clearFloatVal() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_FLOAT.
- clearForceGpuCompatible() - Method in class org.tensorflow.framework.GPUOptions.Builder
-
Force all tensors to be gpu_compatible.
- clearFrequency() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Core Frequency in Mhz
- clearFromTensor() - Method in class org.tensorflow.framework.TensorConnection.Builder
-
A tensor name.
- clearFullName() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Name of the full variable of which this is a slice.
- clearFullName() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
The full name of the variable/tensor, if applicable.
- clearFullShape() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of the full variable.
- clearFunc() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"func" represents a function.
- clearFunc() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
- clearFunction() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- clearFunctionDef() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
-
.tensorflow.FunctionDef function_def = 2;
- clearFunctionName() - Method in class org.tensorflow.framework.GradientDef.Builder
-
The function name.
- clearFunctionOptimization() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Function optimizations (default is ON).
- clearG() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
graph
- clearG() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
graph
- clearGlobalJitLevel() - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
- clearGlobalName() - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder
-
The global name of the threadpool.
- clearGlobalStep() - Method in class org.tensorflow.framework.DebugOptions.Builder
-
Caller-specified global step count.
- clearGpuOptions() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Options that apply to all GPUs.
- clearGradient() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- clearGradientFunc() - Method in class org.tensorflow.framework.GradientDef.Builder
-
The gradient function's name.
- clearGraph() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The parameterized graph that is evaluated to execute the model.
- clearGraph() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The parameterized graph that is evaluated to execute the model.
- clearGraphDef() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
-
The initial graph definition.
- clearGraphDef() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
REQUIRED: The nodes to be added to the session's graph.
- clearGraphDef() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
"graph_def" has the subgraph of nodes for this worker, with each node
having its device_name filled in.
- clearGraphDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
GraphDef.
- clearGraphHandle() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- clearGraphHandle() - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder
-
If the registration succeeds, returns an opaque graph_handle to
the master.
- clearGraphHandle() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- clearGraphInputNodeInfo() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
- clearGraphInputNodeName() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph input node name
- clearGraphKey() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder
-
repeated int64 graph_key = 1;
- clearGraphKey() - Method in class org.tensorflow.distruntime.StepSequence.Builder
-
int64 graph_key = 1;
- clearGraphOpName() - Method in class org.tensorflow.framework.ApiDef.Builder
-
Name of the op (in the OpDef) to specify the API for.
- clearGraphOptions() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Configuration options for the session in which this graph was created.
- clearGraphOptions() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Options that apply to all graphs.
- clearGraphOutputNodeInfo() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- clearGraphOutputNodeName() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph output node name
- clearGraphs() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of graph
- clearGraphs() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of graph
- clearGraphVersion() - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder
-
The initial version number for the graph, to be used in the next call
to ExtendSession.
- clearGroupKey() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
int32 group_key = 1;
- clearGroupKey() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
int32 group_key = 1;
- clearGroupKey() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
int32 group_key = 5;
- clearGroupSize() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
int32 group_size = 2;
- clearGroupSize() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
int32 group_size = 2;
- clearGroupSize() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
int32 group_size = 6;
- clearHalfVal() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_HALF, DT_BFLOAT16.
- clearHandle() - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder
-
A handle to the created callable.
- clearHandle() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder
-
REQUIRED: handle must be returned by a MakeCallable call to the same
master service.
- clearHandle() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
-
REQUIRED: handle must be returned by a MakeCallable call to the same
master service.
- clearHandle() - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
Handle describing the feeds and fetches of the step.
- clearHandleToDecref() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
- clearHasControlFlow() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Deprecated.
- clearHashCode() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Hash code for the type of the resource.
- clearHasLength() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
- clearHasMinimum() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
For type == "int", this is a minimum value.
- clearHasSingleReference() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Set if this tensor only has one remaining reference
- clearHeight() - Method in class org.tensorflow.framework.Summary.Image.Builder
-
Dimensions of the image.
- clearHisto() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.HistogramProto histo = 5;
- clearHost() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
The host name on which a source code file is located.
- clearHostMemoryArg() - Method in class org.tensorflow.framework.KernelDef.Builder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- clearHostTempMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Deprecated.
- clearI() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
int
- clearI() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
int
- clearI() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"int"
- clearI() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(int)"
- clearId() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
The id of the node.
- clearId() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
A unique identifier for the operation.
- clearImage() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Image image = 4;
- clearInArg() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- clearIncarnation() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
A device is assigned a global unique number each time it is
initialized.
- clearIndex() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Index of the output being set.
- clearIndicesTensorName() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
The indices Tensor must have dtype int64 and shape [?, ?].
- clearInferShapes() - Method in class org.tensorflow.framework.GraphOptions.Builder
-
Annotate each Node with Op output shape data, to the extent it can
be statically inferred.
- clearInitializer() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- clearInitializer() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- clearInitializerName() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the initializer op.
- clearInitialValueName() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the tensor holding the variable's initial value.
- clearInput() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- clearInput() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- clearInput() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- clearInput() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- clearInput() - Method in class org.tensorflow.framework.NodeDef.Builder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- clearInputArg() - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- clearInputCount() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
int32 input_count = 6;
- clearInputInfo() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- clearInputs() - Method in class org.tensorflow.framework.SignatureDef.Builder
-
- clearInputs() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- clearInstanceKey() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
int32 instance_key = 7;
- clearInstanceKey() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder
-
int32 instance_key = 1;
- clearInt32Data() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- clearInt32Data() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- clearInt64Data() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For int64.
- clearInt64Data() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For int64.
- clearInt64List() - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.Int64List int64_list = 3;
- clearInt64Val() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_INT64
- clearInterOpParallelismThreads() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Nodes that perform blocking operations are enqueued on a pool of
inter_op_parallelism_threads available in each process.
- clearInterOpThreadPool() - Method in class org.tensorflow.framework.RunOptions.Builder
-
The thread pool to use, if session_inter_op_thread_pool is configured.
- clearIntraOpParallelismThreads() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
The execution of an individual op (for some op types) can be
parallelized on a pool of intra_op_parallelism_threads.
- clearInts() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of ints
- clearInts() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of ints
- clearIntVal() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- clearIrBuildMetadata() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The build metadata component of the SemVer of the IR.
- clearIrVersion() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The version of the IR this model targets.
- clearIrVersion() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
All OperatorSetProtos indicate the version of the IR syntax and semantics
they adhere to.
- clearIrVersion() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The version of the IR this model targets.
- clearIrVersionPrerelease() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The prerelease component of the SemVer of the IR.
- clearIsAggregate() - Method in class org.tensorflow.framework.OpDef.Builder
-
If is_aggregate is true, then this operation accepts N >= 2
inputs and produces 1 output all of the same type.
- clearIsCommutative() - Method in class org.tensorflow.framework.OpDef.Builder
-
True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
- clearIsDead() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
-
True if value is 'dead' like a tensor.
- clearIsDead() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
-
If true, this tensor was the output of a dead node, and the
content is invalid.
- clearIsFinal() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
If true, the output is permanent: it can't be discarded, because this
node is part of the "final output".
- clearIsLastPartialRun() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
True if this is the last partial run request in a sequence of requests.
- clearIsolateSessionState() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
If true, any resources such as Variables used in the session will not be
shared with other sessions.
- clearIsolateSessionState() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
If true, any resources such as Variables used in the session will not be
shared with other sessions.
- clearIsPartial() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
True if the RunGraphRequest is a partial run request.
- clearIsRef() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
For inputs: if true, the inputs are required to be refs.
- clearIsResource() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Whether to represent this as a ResourceVariable.
- clearIsSource() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
bool is_source = 11;
- clearIsStateful() - Method in class org.tensorflow.framework.OpDef.Builder
-
Ops are marked as stateful if their behavior depends on some state beyond
their input tensors (e.g.
- clearItem() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
- clearJob() - Method in class org.tensorflow.distruntime.ClusterDef.Builder
-
The jobs that comprise the cluster.
- clearJobName() - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
The name of the job of which this server is a member.
- clearKeepAliveSecs() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
Number of seconds to keep the context alive.
- clearKeepCheckpointEveryNHours() - Method in class org.tensorflow.util.SaverDef.Builder
-
How often to keep an additional checkpoint.
- clearKernelName() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Name of the kernel making the allocation as set in GraphDef,
e.g., "affine2/weights/Assign".
- clearKernelName() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Name of the kernel producing an output as set in GraphDef, e.g.,
"affine2/weights/Assign".
- clearKey() - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
string key = 1;
- clearKey() - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
string key = 1;
- clearKeys() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
Keys for tensors in the VariantTensorDataProto.
- clearKeyType() - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
This field MUST be present for this version of the IR.
- clearKind() - Method in class org.tensorflow.framework.CollectionDef.Builder
-
- clearL1CacheSize() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
L1 cache size in bytes
- clearL2CacheSize() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
L2 cache size in bytes
- clearL3CacheSize() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
L3 cache size in bytes
- clearLabel() - Method in class org.tensorflow.framework.KernelDef.Builder
-
This allows experimental kernels to be registered for an op that
won't be used unless the user specifies a "_kernel" attr with
value matching this.
- clearLastModified() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
The timestamp at which the source code file is last modified.
- clearLayoutOptimizer() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Optimize tensor layouts (default is ON)
e.g.
- clearLength() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
int64 length = 2;
- clearLengthFrames() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
Length of the audio in frames (samples per channel).
- clearLibrary() - Method in class org.tensorflow.framework.GraphDef.Builder
-
EXPERIMENTAL.
- clearLines() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
Line-by-line content of the source code file.
- clearLink() - Method in class org.tensorflow.framework.LocalLinks.Builder
-
repeated .tensorflow.InterconnectLink link = 1;
- clearLinks() - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
Optional local interconnect links to other devices.
- clearList() - Method in class org.tensorflow.framework.AttrValue.Builder
-
any "list(...)"
- clearListener(OpProfiler.OpProfilerListener) - Method in class org.nd4j.linalg.profiler.OpProfiler
-
Clear the listener from the profiler
- clearLiveBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The bytes that are not deallocated.
- clearLocalDevice() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- clearLocality() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
Platform-specific data about device that may be useful
for supporting efficient data transfers.
- clearLocalName() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
-
A user-provided name for the edge.
- clearLogDevicePlacement() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Whether device placements should be logged.
- clearLoopEnterNames() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
List of names for enter tensors.
- clearLoopExitNames() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
List of names for exit tensors.
- clearLoopOptimization() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Loop optimizations (default is ON).
- clearMagic() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
All OperatorSetProtos start with a distingushed byte sequence to disambiguate
protobuf files containing OperatorSets from other content.
- clearMapType() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a map.
- clearMax() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double max = 2;
- clearMaxByteSize() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
-
repeated int32 max_byte_size = 2;
- clearMaxFoldedConstantInBytes() - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
Constant folding optimization replaces tensors whose values can be
predetermined, with constant nodes.
- clearMaximumIterationsName() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Optional name of the maximum_iterations tensor.
- clearMaxToKeep() - Method in class org.tensorflow.util.SaverDef.Builder
-
Maximum number of checkpoints to keep.
- clearMaybeTypeName() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
For debug-only, the name of the type pointed to by this handle, if
available.
- clearMemory() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- clearMemoryLimit() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
Memory capacity of device in bytes.
- clearMemoryLimitMb() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
-
Per "virtual" device memory limit, in MB.
- clearMemoryOptimization() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Configures memory optimization passes through the meta-optimizer.
- clearMemoryOptimizerTargetNodeNameScope() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
A node name scope for node names which are valid outputs of recompuations.
- clearMemorySize() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Memory size in bytes
- clearMemoryStats() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
.tensorflow.MemoryStats memory_stats = 12;
- clearMemoryTime() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Analytical estimate of the memory access cost of this node, in
microseconds.
- clearMetadata() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
-
Returned metadata if requested in the options.
- clearMetadata() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
Returned metadata if requested in the options.
- clearMetadata() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
Contains metadata on the summary value such as which plugins may use it.
- clearMetadata() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Portions of the object that are not Tensors.
- clearMetadataProps() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- clearMetadataProps() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- clearMetaGraphs() - Method in class org.tensorflow.framework.SavedModel.Builder
-
One or more MetaGraphs.
- clearMetaGraphVersion() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
User specified Version string.
- clearMetaInfoDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
- clearMetaOptimizerIterations() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Controls how many times we run the optimizers in meta optimizer (default
is once).
- clearMethodName() - Method in class org.tensorflow.framework.SignatureDef.Builder
-
Extensible method_name information enabling third-party users to mark a
SignatureDef as supporting a particular method.
- clearMin() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double min = 1;
- clearMinConsumer() - Method in class org.tensorflow.framework.VersionDef.Builder
-
Any consumer below this version is not allowed to consume this data.
- clearMinimum() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
int64 minimum = 6;
- clearModel() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Model (Haswell, K40, ...)
- clearModelVersion() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The version of the graph encoded.
- clearModelVersion() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The version of the graph encoded.
- clearName() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
The name field MUST be present for this version of the IR.
- clearName() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The name of the graph.
- clearName() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
An optional identifier for this node in a graph.
- clearName() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
Optionally, a name for the tensor.
- clearName() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- clearName() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
The name field MUST be present for this version of the IR.
- clearName() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The name of the graph.
- clearName() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
An optional identifier for this node in a graph.
- clearName() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
Optionally, a name for the tensor.
- clearName() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- clearName() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
string name = 1;
- clearName() - Method in class org.tensorflow.distruntime.JobDef.Builder
-
The name of this job.
- clearName() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
string name = 1;
- clearName() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
string name = 1;
- clearName() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
Name should be either like "CamelCaseName" or
"Package.CamelCaseName".
- clearName() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
The name of the node.
- clearName() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
Fully specified name of the device within a cluster.
- clearName() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
string name = 1;
- clearName() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
string name = 1;
- clearName() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
string name = 1;
- clearName() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
string name = 1;
- clearName() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
Name of an attr from the Op.
- clearName() - Method in class org.tensorflow.framework.NameAttrList.Builder
-
string name = 1;
- clearName() - Method in class org.tensorflow.framework.NamedTensorProto.Builder
-
Name of the tensor.
- clearName() - Method in class org.tensorflow.framework.NodeDef.Builder
-
The name given to this operator.
- clearName() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Name for the input/output.
- clearName() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
A descriptive name for the argument.
- clearName() - Method in class org.tensorflow.framework.OpDef.Builder
-
Op names starting with an underscore are reserved for internal use.
- clearName() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Unique name of this resource.
- clearName() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
string name = 1;
- clearName() - Method in class org.tensorflow.framework.TensorInfo.Builder
-
For dense `Tensor`s, the name of the tensor in the graph.
- clearName() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
Optional name of the tensor dimension.
- clearName() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
A name for the Tensor.
- clearName() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder
-
string name = 1;
- clearName() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
string name = 2;
- clearNans(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Clear nans from an ndarray
- clearNestedContexts() - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Contexts contained inside this context (e.g.
- clearNestedContexts() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Contexts contained inside this context (e.g.
- clearNewGraphVersion() - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder
-
The new version number for the extended graph, to be used in the next call
to ExtendSession.
- clearNextStepId() - Method in class org.tensorflow.distruntime.StepSequence.Builder
-
int64 next_step_id = 2;
- clearNode() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The nodes in the graph.
- clearNode() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The nodes in the graph.
- clearNode() - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- clearNode() - Method in class org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- clearNodeDef() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- clearNodeId() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
int32 node_id = 2;
- clearNodeId() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
int32 node_id = 2;
- clearNodeId() - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder
-
int32 node_id = 1;
- clearNodeId() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
int32 node_id = 1;
- clearNodeId() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
-
int32 node_id = 1;
- clearNodeId() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
-
An index into `CheckpointableObjectGraph.nodes`, indicating the object
being referenced.
- clearNodeInfo() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- clearNodeInput() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- clearNodeInputInfo() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- clearNodeList() - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.NodeList node_list = 1;
- clearNodeName() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
Name of the node to watch.
- clearNodeName() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
TODO(tucker): Use some more compact form of node identity than
the full string name.
- clearNodeName() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
This field is deprecated and will not be set.
- clearNodeOutputInfo() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- clearNodes() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- clearNodeStats() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- clearNum() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double num = 3;
- clearNumaNode() - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
Optional NUMA locality of device.
- clearNumberAttr() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
if specified, attr must have type "int"
- clearNumBytes() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Size of value expected, must agree with BufRendezvous entry.
- clearNumBytes() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
-
Byte length of buf_ptr field, if set.
- clearNumBytes() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Number of bytes in the allocation.
- clearNumChannels() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
Number of channels of audio.
- clearNumCores() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Number of cores
- clearNumRecordsProduced() - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
int64 num_records_produced = 3;
- clearNumRegisters() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Number of registers per core.
- clearNumReplicas() - Method in class org.tensorflow.framework.AutoParallelOptions.Builder
-
int32 num_replicas = 2;
- clearNumShards() - Method in class org.tensorflow.util.BundleHeaderProto.Builder
-
Number of data files in the bundle.
- clearNumTasks() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
number of distinct tasks hosting the devices
- clearNumThreads() - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder
-
The number of threads in the pool.
- clearObsoleteOldStyleHistogram() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
bytes obsolete_old_style_histogram = 3;
- clearOffset() - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
int64 offset = 4;
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxProto3.TypeProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.ClusterDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.JobDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.ResetRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.ResetResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.StepSequence.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.TraceOpts.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.TracingRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.TracingResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ApiDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ApiDefs.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.AssetFileDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.AttrValue.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.AutoParallelOptions.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CallableOptions.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CollectionDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CondContextDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CriticalSectionDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.DebugOptions.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GPUOptions.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GradientDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphOptions.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.InterconnectLink.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.KernelDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.LocalLinks.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.NameAttrList.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.NamedTensorProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.NodeDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.NodeOutput.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.OpDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.OpList.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.RPCOptions.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.RunMetadata.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.RunOptions.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.SavedModel.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.SignatureDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.StepStats.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.Summary.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.Summary.Image.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.TensorConnection.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.TensorDescription.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.TensorInfo.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.TensorProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ValuesDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.VariableDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.VersionDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.util.BundleHeaderProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.util.SaverDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder
-
- clearOp() - Method in class org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- clearOp() - Method in class org.tensorflow.framework.KernelDef.Builder
-
Must match the name of an Op.
- clearOp() - Method in class org.tensorflow.framework.NodeDef.Builder
-
The operation name.
- clearOp() - Method in class org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- clearOpEndRelMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 op_end_rel_micros = 4;
- clearOperation() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Name of the operation making the allocation.
- clearOperation() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Name of the operation making the deallocation.
- clearOperation() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
.tensorflow.eager.Operation operation = 2;
- clearOperationTimeoutInMs() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Global timeout for all blocking operations in this session.
- clearOperator() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The operators specified by this operator set.
- clearOpId() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
-
The ID of the operation that produced this tensor.
- clearOpId() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
-
Ids to wait on.
- clearOpsetImport() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- clearOpsetImport() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- clearOpsetVersion() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The version of the set of operators.
- clearOpStartRelMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 op_start_rel_micros = 3;
- clearOptimizerOptions() - Method in class org.tensorflow.framework.GraphOptions.Builder
-
Options controlling how graph is optimized.
- clearOptimizers() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
- clearOptions() - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder
-
Options that define the behavior of the created callable.
- clearOptions() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Options for the run call.
- clearOptions() - Method in class org.tensorflow.distruntime.TracingRequest.Builder
-
.tensorflow.TraceOpts options = 1;
- clearOptLevel() - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
Overall optimization level.
- clearOpType() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
The symbolic identifier of the Operator to execute.
- clearOpType() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
The name of the operator within a domain.
- clearOpType() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
The symbolic identifier of the Operator to execute.
- clearOriginalVariableNodeId() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
-
An index into `CheckpointableObjectGraph.nodes`, indicating the
variable object this slot was created for.
- clearOutArg() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- clearOutput() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- clearOutput() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- clearOutput() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- clearOutput() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- clearOutput() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- clearOutputArg() - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- clearOutputCount() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
int32 output_count = 7;
- clearOutputInfo() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- clearOutputNum() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
-
The index into the outputs of the operation that produced this tensor.
- clearOutputPartitionGraphs() - Method in class org.tensorflow.framework.RunOptions.Builder
-
Whether the partition graph(s) executed by the executor(s) should be
outputted via RunMetadata.
- clearOutputPort() - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder
-
int32 output_port = 2;
- clearOutputs() - Method in class org.tensorflow.framework.SignatureDef.Builder
-
- clearOutputSlot() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
Output slot to watch.
- clearPaddingId() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
int32 padding_id = 5;
- clearParallelIterations() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
The number of iterations allowed to run in parallel.
- clearParameterMap() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
- clearPartialRunHandle() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder
-
The unique handle corresponding to the ongoing partial run call setup by
the invocation to PartialRunSetup.
- clearPartialRunHandle() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Partial run handle (optional).
- clearPartitionGraph() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
repeated .tensorflow.GraphDef partition_graph = 4;
- clearPartitionGraphs() - Method in class org.tensorflow.framework.RunMetadata.Builder
-
Graphs of the partitions executed by executors.
- clearPeakBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
int64 peak_bytes = 3;
- clearPerProcessGpuMemoryFraction() - Method in class org.tensorflow.framework.GPUOptions.Builder
-
Fraction of the available GPU memory to allocate for each process.
- clearPersistentMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Persistent memory used by this node.
- clearPersistentMemorySize() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
int64 persistent_memory_size = 3;
- clearPersistentTensorAllocIds() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
repeated int64 persistent_tensor_alloc_ids = 5;
- clearPhysicalDeviceDesc() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
String representation of the physical device that this device maps to.
- clearPinnedAllocations(boolean) - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- clearPivotForBodyName() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Name of the pivot_for_body tensor.
- clearPivotForPredName() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Name of the pivot_for_pred tensor.
- clearPivotName() - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Name of the pivot tensor.
- clearPivotName() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Name of the pivot tensor.
- clearPlaceholder() - Method in class org.tensorflow.framework.AttrValue.Builder
-
This is a placeholder only used in nodes defined inside a
function.
- clearPlacementPeriod() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Assignment of Nodes to Devices is recomputed every placement_period
steps until the system warms up (at which point the recomputation
typically slows down automatically).
- clearPlacePrunedGraph() - Method in class org.tensorflow.framework.GraphOptions.Builder
-
Only place the subgraphs that are run, rather than the entire graph.
- clearPluginData() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Data that associates a summary with a certain plugin.
- clearPluginName() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
The name of the plugin this data pertains to.
- clearPollingActiveDelayUsecs() - Method in class org.tensorflow.framework.GPUOptions.Builder
-
In the event polling loop sleep this many microseconds between
PollEvents calls, when the queue is not empty.
- clearPollingInactiveDelayMsecs() - Method in class org.tensorflow.framework.GPUOptions.Builder
-
This field is deprecated and ignored.
- clearPrecedingNode() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
int32 preceding_node = 1;
- clearPrecedingPort() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
int32 preceding_port = 2;
- clearPredName() - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Name of the pred tensor.
- clearProducer() - Method in class org.tensorflow.framework.VersionDef.Builder
-
The version of the code that produced this data.
- clearProducerName() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The name of the framework or tool used to generate this model.
- clearProducerName() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The name of the framework or tool used to generate this model.
- clearProducerVersion() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The version of the framework or tool used to generate this model.
- clearProducerVersion() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The version of the framework or tool used to generate this model.
- clearProperties() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder
-
.tensorflow.DeviceProperties properties = 2;
- clearProtocol() - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
The protocol to be used by this server.
- clearPtr() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Address of the allocation.
- clearPtr() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Address of the allocation.
- clearQueue() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
repeated .tensorflow.eager.QueueItem queue = 3;
- clearQueueClosedExceptionTypes() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- clearQueueName() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
Queue name.
- clearRawData() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
Serializations can either use one of the fields above, or use this
raw bytes field.
- clearRawData() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
Serializations can either use one of the fields above, or use this
raw bytes field.
- clearRecordCosts() - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder
-
bool record_costs = 1;
- clearRecordPartitionGraphs() - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder
-
bool record_partition_graphs = 4;
- clearRecordTimeline() - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder
-
bool record_timeline = 3;
- clearRecv() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- clearRecvKey() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
repeated string recv_key = 4;
- clearReferencedTensor() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- clearRemapping() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Remapping (default is ON)
Remap subgraphs onto more efficient implementations.
- clearRemoteDevice() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- clearRemoteGraph() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Definition of remote graph
- clearRenameTo() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
Change the name used to access this arg in the API from what
is used in the GraphDef.
- clearRenameTo() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Change the name used to access this attr in the API from what
is used in the GraphDef.
- clearRendezvousKey() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
A key identifying the channel to receive tensors from.
- clearReportTensorAllocationsUponOom() - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder
-
bool report_tensor_allocations_upon_oom = 5;
- clearReportTensorAllocationsUponOom() - Method in class org.tensorflow.framework.RunOptions.Builder
-
When enabled, causes tensor allocation information to be included in
the error message when the Run() call fails because the allocator ran
out of memory (OOM).
- clearRequestedBytes() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Total number of bytes requested
- clearRequestId() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Unique identifier for this request.
- clearResourceHandleVal() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
- clearRestoreOpName() - Method in class org.tensorflow.util.SaverDef.Builder
-
The operation to run when restoring a model checkpoint.
- clearRet() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
- clearRewriteOptions() - Method in class org.tensorflow.framework.GraphOptions.Builder
-
Options that control the type and amount of graph rewriting.
- clearRpcOptions() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Options that apply when this session uses the distributed runtime.
- clearRunOptions() - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Options that will be applied to each run.
- clearS() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
UTF-8 string
- clearS() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
UTF-8 string
- clearS() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"string"
- clearS() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(string)"
- clearSampleRate() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
Sample rate of the audio in Hz.
- clearSavedModelSchemaVersion() - Method in class org.tensorflow.framework.SavedModel.Builder
-
The schema version of the SavedModel instance.
- clearSaverDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
SaverDef.
- clearSaveSliceInfoDef() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Support for saving variables as slices of a larger variable.
- clearSaveTensorName() - Method in class org.tensorflow.util.SaverDef.Builder
-
The operation to run when saving a model checkpoint.
- clearScheduledMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 scheduled_micros = 9;
- clearScomplexVal() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX64.
- clearScopedAllocatorOptimization() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Try to allocate some independent Op outputs contiguously in order to
merge or eliminate downstream Ops (off by default).
- clearScopedAllocatorOpts() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
- clearSegment() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
.onnx.TensorProto.Segment segment = 3;
- clearSegment() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
.onnx.TensorProto.Segment segment = 3;
- clearSend() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
Runs the graph.
- clearSendStartMicros() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
-
Optional, for timeline.
- clearSendStartMicros() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
-
The time at which tensor was available and started to be returned.
- clearSequenceType() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a sequence.
- clearSerializedExecutorParameters() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Parameters given to the executor
- clearServerDef() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
Defines the configuration of a TensorFlow worker.
- clearServerDef() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
Identifies the full cluster, and this particular worker's position within.
- clearServerLocality() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional information on server-side device locality.
- clearServerLocality() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Optional information on server-side device locality.
- clearSessionHandle() - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- clearSessionHandle() - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder
-
The session handle to be used in subsequent calls for the created session.
- clearSessionHandle() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
Sessions are identified by a given handle.
- clearSessionHandle() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
-
Sessions are identified by a given handle.
- clearSessionHandle() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
The session_handle used when registering the graph.
- clearSessionHandle() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- clearSessionHandle() - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder
-
Optional: session_handle must be returned by a CreateSession call to the
same master service.
- clearSessionHandle() - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- clearSessionHandle() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- clearSessionHandle() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Subgraphs are scoped within one session.
- clearSessionHandle() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- clearSessionHandle() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- clearSessionHandle() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
session_handle is the master-generated unique id for this session.
- clearSessionHandle() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- clearSessionInterOpThreadPool() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- clearShape() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
.onnx.TensorShapeProto shape = 2;
- clearShape() - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
.onnx.TensorShapeProto shape = 2;
- clearShape() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
.tensorflow.TensorShapeProto shape = 4;
- clearShape() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"shape"
- clearShape() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
- clearShape() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
.tensorflow.TensorShapeProto shape = 3;
- clearShape() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
repeated int64 shape = 3;
- clearShape() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
repeated int64 shape = 2;
- clearShape() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
repeated int64 shape = 2;
- clearShape() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
.tensorflow.TensorShapeProto shape = 2;
- clearShape() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Shape of the tensor.
- clearShape() - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
.tensorflow.TensorShapeProto shape = 2;
- clearShapeOptimization() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Shape optimizations (default is ON)
Simplify computations made on shapes.
- clearSharded() - Method in class org.tensorflow.util.SaverDef.Builder
-
Shard the save files, one per device that has Variable nodes.
- clearShardId() - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
The binary content of the tensor lies in:
File "shard_id": bytes [offset, offset + size).
- clearSharedMemorySizePerMultiprocessor() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Shared memory size per multiprocessor in bytes.
- clearSignature() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
The definition of the function's name, arguments, return values,
attrs etc.
- clearSignatureDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
- clearSimpleValue() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
float simple_value = 2;
- clearSinceVersion() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
The version of the operator set that first introduced this
operator.
- clearSize() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
int64 size = 1;
- clearSize() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
Size of the tensor in that dimension.
- clearSize() - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
int64 size = 5;
- clearSlices() - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
Iff present, this entry represents a partitioned tensor.
- clearSlot() - Method in class org.tensorflow.framework.NodeOutput.Builder
-
int32 slot = 1;
- clearSlotName() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
-
The name of the slot (e.g.
- clearSlotVariableNodeId() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
-
An index into `CheckpointableObjectGraph.nodes`, indicating the
`Object` with the value of the slot variable.
- clearSlotVariables() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Slot variables owned by this object.
- clearSnapshotName() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the snapshot tensor.
- clearSocOpId() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
int32 soc_op_id = 4;
- clearSourceFiles() - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
-
A collection of source code files.
- clearSourceRank() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder
-
int32 source_rank = 2;
- clearSrcDevice() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional, for annotating the timeline.
- clearStart() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
Start index of the slice, starting at 0.
- clearStatus() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
This field indicates whether the syntax, semantics, or presence
of this operator is in an experimental or stable stage.
- clearStatusCode() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- clearStatusCode() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- clearStatusErrorMessage() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
string status_error_message = 6;
- clearStatusErrorMessage() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
string status_error_message = 4;
- clearStep() - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
-
repeated .tensorflow.LabeledStepStats step = 1;
- clearStepId() - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder
-
int64 step_id = 1;
- clearStepId() - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder
-
int64 step_id = 1;
- clearStepId() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Used at server side to find the correct BufRendezvous.
- clearStepId() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
The step in which the tensor will be produced.
- clearStepId() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
A unique ID to distinguish different runs of the same graph.
- clearStepId() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Process-unique step id.
- clearStepId() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Process-unique step id.
- clearStepId() - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
Process-unique step id.
- clearStepId() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Process-unique step id.
- clearStepId() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Process-unique step id.
- clearStepSequence() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
repeated .tensorflow.StepSequence step_sequence = 1;
- clearStepStats() - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder
-
.tensorflow.StepStats step_stats = 2;
- clearStepStats() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
If the request asked for execution stats, the cost graph, or the partition
graphs, these are returned here.
- clearStepStats() - Method in class org.tensorflow.framework.RunMetadata.Builder
-
Statistics traced for this step.
- clearStoreErrorsInResponseBody() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
If true then some errors, e.g., execution errors that have long
error messages, may return an OK RunGraphResponse with the actual
error saved in the status_code/status_error_message fields of the
response body.
- clearStoreErrorsInResponseBody() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
If true then some errors, e.g., execution errors that have long
error messages, may return an OK RunStepResponse with the actual
error saved in the status_code/status_error_message fields of the
response body.
- clearStrength() - Method in class org.tensorflow.framework.InterconnectLink.Builder
-
int32 strength = 3;
- clearStringData() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For strings.
- clearStringData() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For strings.
- clearStrings() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of UTF-8 strings
- clearStrings() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of UTF-8 strings
- clearStringVal() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_STRING
- clearStrippedDefaultAttrs() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
A flag to denote whether default-valued attrs have been stripped from
the nodes in this graph_def.
- clearStrippedOpList() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
A copy of the OpDefs used by the producer of this graph_def.
- clearSubdivOffset() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
repeated int32 subdiv_offset = 9;
- clearSum() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double sum = 4;
- clearSummary() - Method in class org.tensorflow.framework.ApiDef.Builder
-
One-line human-readable description of what the Op does.
- clearSummary() - Method in class org.tensorflow.framework.OpDef.Builder
-
One-line human-readable description of what the Op does.
- clearSummaryDescription() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Longform readable description of the summary sequence.
- clearSumSquares() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double sum_squares = 5;
- clearSwapMemory() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Whether GPU-CPU memory swap is enabled for this loop.
- clearT() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
tensor value
- clearT() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
tensor value
- clearTag() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
Tag name for the data.
- clearTags() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
User supplied tag(s) on the meta_graph and included graph_def.
- clearTarget() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
-
The target string used from the client's perspective.
- clearTarget() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Target Nodes.
- clearTarget() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Target Nodes.
- clearTarget() - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Target Nodes.
- clearTaskIndex() - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
The task index of this server in its job.
- clearTaskName() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
task name prefixes of device_names
- clearTasks() - Method in class org.tensorflow.distruntime.JobDef.Builder
-
- clearTempMemorySize() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
int64 temp_memory_size = 1;
- clearTemporaryMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Temporary memory used by this node.
- clearTensor() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
-
The tensor as a proto.
- clearTensor() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- clearTensor() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"tensor"
- clearTensor() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
- clearTensor() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Allocated tensor details.
- clearTensor() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Output tensor details.
- clearTensor() - Method in class org.tensorflow.framework.NamedTensorProto.Builder
-
The client can populate a TensorProto using a tensorflow::Tensor`, or
directly using the protobuf field accessors.
- clearTensor() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.TensorProto tensor = 8;
- clearTensorConnection() - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Tensors to be connected in the callable.
- clearTensorContent() - Method in class org.tensorflow.framework.TensorProto.Builder
-
Serialized raw tensor content from either Tensor::AsProtoTensorContent or
memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
- clearTensorContent() - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder
-
bytes tensor_content = 1;
- clearTensorDescription() - Method in class org.tensorflow.framework.NodeOutput.Builder
-
.tensorflow.TensorDescription tensor_description = 3;
- clearTensorflowGitVersion() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
The __git_version__ string of the tensorflow build used to write this
graph.
- clearTensorflowVersion() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
The __version__ string of the tensorflow build used to write this graph.
- clearTensorInfo() - Method in class org.tensorflow.framework.AssetFileDef.Builder
-
The tensor to bind the asset filename to.
- clearTensors() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of tensors
- clearTensors() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of tensors
- clearTensors() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- clearTensorShape() - Method in class org.tensorflow.framework.TensorInfo.Builder
-
The static shape should be recorded here, to the extent that it can
be known in advance.
- clearTensorShape() - Method in class org.tensorflow.framework.TensorProto.Builder
-
Shape of the tensor.
- clearTensorType() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a tensor.
- clearTensorType() - Method in class onnx.OnnxProto3.TypeProto.Builder
-
The type of a tensor.
- clearThreadId() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
uint32 thread_id = 10;
- clearTimelineLabel() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
string timeline_label = 8;
- clearTimelineStep() - Method in class org.tensorflow.framework.GraphOptions.Builder
-
If > 0, record a timeline every this many steps.
- clearTimeoutInMs() - Method in class org.tensorflow.framework.RunOptions.Builder
-
Time to wait for operation to complete in milliseconds.
- clearTolerateDebugOpCreationFailures() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
Do not error out if debug op creation fails (e.g., due to dtype
incompatibility).
- clearTotalBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
These are per-node allocator memory stats.
- clearToTensor() - Method in class org.tensorflow.framework.TensorConnection.Builder
-
A tensor name.
- clearTraceLevel() - Method in class org.tensorflow.framework.RunOptions.Builder
-
.tensorflow.RunOptions.TraceLevel trace_level = 1;
- clearTrainable() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Whether this variable should be trained.
- clearTransportOptions() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional, implementation-specific data.
- clearTransportOptions() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
-
Optional, implementation-specific data.
- clearTransportOptions() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Optional information needed by the RPC subsystem.
- clearTransportOptions() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
-
Optional additional information about how to receive the tensor,
e.g.
- clearType() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
The type field MUST be present for this version of the IR.
- clearType() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- clearType() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
The type field MUST be present for this version of the IR.
- clearType() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- clearType() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
int32 type = 2;
- clearType() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"type"
- clearType() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(type)"
- clearType() - Method in class org.tensorflow.framework.InterconnectLink.Builder
-
string type = 2;
- clearType() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Describes the type of one or more tensors that are accepted/produced
by this input/output arg.
- clearType() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
One of the type names from attr_value.proto ("string", "list(string)",
"int", etc.).
- clearType() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Device type (CPU, GPU, ...)
- clearTypeAttr() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
if specified, attr must have type "type"
- clearTypeHint() - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
Hint on how plugins should process the data in this series.
- clearTypeListAttr() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
If specified, attr must have type "list(type)", and none of
type, type_attr, and number_attr may be specified.
- clearTypeName() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
string type_name = 3;
- clearTypeName() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Name of the type of objects being serialized.
- clearUint32Val() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_UINT32
- clearUint64Data() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- clearUint64Data() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- clearUint64Val() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_UINT64
- clearUnknownRank() - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
If true, the number of dimensions in the shape is unknown.
- clearUseExtendedProfiler() - Method in class org.tensorflow.distruntime.TraceOpts.Builder
-
If true, capture extended profiling events from TensorFlow process.
- clearUseGpuProfiler() - Method in class org.tensorflow.distruntime.TraceOpts.Builder
-
If true, capture GPU profiling events locally on each
machine.
- clearUseKernelProfiler() - Method in class org.tensorflow.distruntime.TraceOpts.Builder
-
If true, capture kernel events from each worker.
- clearUsePerSessionThreads() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
If true, use a new set of threads for this session rather than the global
pool of threads.
- clearUseRpcForInprocessMaster() - Method in class org.tensorflow.framework.RPCOptions.Builder
-
If true, always use RPC to contact the session target.
- clearUseSampleProfiler() - Method in class org.tensorflow.distruntime.TraceOpts.Builder
-
If true, collect sampled profile events.
- clearUseStepProfiler() - Method in class org.tensorflow.distruntime.TraceOpts.Builder
-
If true, capture step profile locally in each worker.
- clearUseUnifiedMemory() - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
-
If true, uses CUDA unified memory for memory allocations.
- clearValue() - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
string value = 2;
- clearValue() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
- clearValue() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
- clearValue() - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
string value = 2;
- clearValue() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
- clearValue() - Method in class onnx.OnnxProto3.TypeProto.Builder
-
- clearValue() - Method in class org.tensorflow.framework.AttrValue.Builder
-
- clearValue() - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
-
repeated .google.protobuf.Any value = 1;
- clearValue() - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder
-
repeated bytes value = 1;
- clearValue() - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder
-
repeated float value = 1 [packed = true];
- clearValue() - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder
-
repeated int64 value = 1 [packed = true];
- clearValue() - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder
-
repeated string value = 1;
- clearValue() - Method in class org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- clearValue() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
- clearValueInfo() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
Information for the values in the graph.
- clearValueInfo() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
Information for the values in the graph.
- clearValues() - Method in class org.tensorflow.framework.ValuesDef.Builder
-
Value names that have been seen in this context.
- clearValuesDef() - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Values and external values in control flow context.
- clearValuesDef() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Values and external values in control flow context.
- clearValuesTensorName() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
The shape of the values Tensor is [?].
- clearValueType() - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
This field MUST be present for this version of the IR.
- clearVariableName() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the variable tensor.
- clearVariantVal() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
- clearVarOffset() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Offset of this variable into the full variable.
- clearVarShape() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of this variable.
- clearVendor() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Vendor (Intel, nvidia, ...)
- clearVersion() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
The version of the operator set being identified.
- clearVersion() - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
The version of the operator set being identified.
- clearVersion() - Method in class org.tensorflow.framework.GraphDef.Builder
-
Deprecated.
- clearVersion() - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
First GraphDef version at which the op is disallowed.
- clearVersion() - Method in class org.tensorflow.util.BundleHeaderProto.Builder
-
Versioning of the tensor bundle format.
- clearVersion() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
A user-specified version string.
- clearVersion() - Method in class org.tensorflow.util.SaverDef.Builder
-
.tensorflow.SaverDef.CheckpointFormatVersion version = 7;
- clearVersionDef() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
This is the version for all the ops that will be enqueued by the client.
- clearVersionNumber() - Method in class org.tensorflow.framework.TensorProto.Builder
-
Version number.
- clearVersions() - Method in class org.tensorflow.framework.GraphDef.Builder
-
Compatibility versions of the graph.
- clearVirtualDevices() - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
-
The multi virtual device settings.
- clearVisibility() - Method in class org.tensorflow.framework.ApiDef.Builder
-
.tensorflow.ApiDef.Visibility visibility = 2;
- clearVisibleDeviceList() - Method in class org.tensorflow.framework.GPUOptions.Builder
-
A comma-separated list of GPU ids that determines the 'visible'
to 'virtual' mapping of GPU devices.
- clearWhileCtxt() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder
-
.tensorflow.WhileContextDef while_ctxt = 2;
- clearWidth() - Method in class org.tensorflow.framework.Summary.Image.Builder
-
int32 width = 2;
- clearWorkFinished() - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
int64 work_finished = 2;
- clearWorkStarted() - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
int64 work_started = 1;
- CLIENT_LOCALITY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvBufRequest
-
- CLIENT_LOCALITY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvTensorRequest
-
- clipByNorm(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- clipByNorm(SDVariable, double, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- clipByNorm(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Clipping by L2 norm
if l2Norm(x) < clipValue, then input is returned unmodifed
Otherwise, out[i] = in[i] * clipValue / l2Norm(in)
- clipByNorm(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Clipping by L2 norm
if l2Norm(x) < clipValue, then input is returned unmodifed
Otherwise, out[i] = in[i] * clipValue / l2Norm(in)
- clipByNorm(SDVariable, double, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Clipping by L2 norm, optionally along dimension(s)
if l2Norm(x,dimension) < clipValue, then input is returned unmodifed
Otherwise, out[i] = in[i] * clipValue / l2Norm(in, dimensions) where each value is clipped according
to the corresponding l2Norm along the specified dimensions
- clipByNorm(String, SDVariable, double, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Clipping by L2 norm, optionally along dimension(s)
if l2Norm(x,dimension) < clipValue, then input is returned unmodifed
Otherwise, out[i] = in[i] * clipValue / l2Norm(in, dimensions) where each value is clipped according
to the corresponding l2Norm along the specified dimensions
- ClipByNorm - Class in org.nd4j.linalg.api.ops.impl.transforms.clip
-
- ClipByNorm() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNorm
-
- ClipByNorm(SameDiff, SDVariable, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNorm
-
- ClipByNorm(INDArray, INDArray, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNorm
-
- ClipByNormBp - Class in org.nd4j.linalg.api.ops.impl.transforms.clip
-
- ClipByNormBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNormBp
-
- ClipByNormBp(SameDiff, SDVariable, SDVariable, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNormBp
-
- clipByValue(SDVariable, double, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- clipByValue(SDVariable, double, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Element-wise clipping function:
out[i] = in[i] if in[i] >= clipValueMin and in[i] <= clipValueMax
out[i] = clipValueMin if in[i] < clipValueMin
out[i] = clipValueMax if in[i] > clipValueMax
- clipByValue(String, SDVariable, double, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Element-wise clipping function:
out[i] = in[i] if in[i] >= clipValueMin and in[i] <= clipValueMax
out[i] = clipValueMin if in[i] < clipValueMin
out[i] = clipValueMax if in[i] > clipValueMax
- ClipByValue - Class in org.nd4j.linalg.api.ops.impl.transforms.clip
-
- ClipByValue(INDArray[], INDArray[], double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByValue
-
- ClipByValue() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByValue
-
- ClipByValue(SameDiff, SDVariable, double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByValue
-
- ClipByValue(SameDiff, SDVariable, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByValue
-
- clone() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
- clone() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
- clone() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
- clone() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
- clone() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
- clone() - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
- clone() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
- clone() - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
- clone() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
- clone() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
- clone() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
- clone() - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
- clone() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
- clone() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
- clone() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
- clone() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
- clone() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
- clone() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
- clone() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
- clone() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
- clone() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
- clone() - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
- clone() - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
- clone() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
- clone() - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
- clone() - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
- clone() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
- clone() - Method in class onnx.OnnxProto3.TypeProto.Builder
-
- clone() - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
- clone() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
- clone() - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession.FrameIter
-
- clone(Object, IDeepCloner, Map<Object, Object>) - Method in class org.nd4j.autodiff.util.cloner.DataBufferFastCloner
-
- clone(Object, IDeepCloner, Map<Object, Object>) - Method in class org.nd4j.autodiff.util.cloner.INDArrayFastCloner
-
- clone() - Method in class org.nd4j.evaluation.classification.ROC.CountsForThreshold
-
- clone() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- clone() - Method in class org.nd4j.linalg.compression.CompressionDescriptor
-
- clone() - Method in class org.nd4j.linalg.learning.config.AdaDelta
-
- clone() - Method in class org.nd4j.linalg.learning.config.AdaGrad
-
- clone() - Method in class org.nd4j.linalg.learning.config.Adam
-
- clone() - Method in class org.nd4j.linalg.learning.config.AdaMax
-
- clone() - Method in class org.nd4j.linalg.learning.config.AMSGrad
-
- clone() - Method in interface org.nd4j.linalg.learning.config.IUpdater
-
Clone the updater
- clone() - Method in class org.nd4j.linalg.learning.config.Nadam
-
- clone() - Method in class org.nd4j.linalg.learning.config.Nesterovs
-
- clone() - Method in class org.nd4j.linalg.learning.config.NoOp
-
- clone() - Method in class org.nd4j.linalg.learning.config.RmsProp
-
- clone() - Method in class org.nd4j.linalg.learning.config.Sgd
-
- clone() - Method in class org.nd4j.linalg.learning.regularization.L1Regularization
-
- clone() - Method in class org.nd4j.linalg.learning.regularization.L2Regularization
-
- clone() - Method in interface org.nd4j.linalg.learning.regularization.Regularization
-
- clone() - Method in class org.nd4j.linalg.learning.regularization.WeightDecay
-
- clone() - Method in class org.nd4j.linalg.schedule.CycleSchedule
-
- clone() - Method in class org.nd4j.linalg.schedule.ExponentialSchedule
-
- clone() - Method in class org.nd4j.linalg.schedule.FixedSchedule
-
- clone() - Method in class org.nd4j.linalg.schedule.InverseSchedule
-
- clone() - Method in interface org.nd4j.linalg.schedule.ISchedule
-
- clone() - Method in class org.nd4j.linalg.schedule.MapSchedule
-
- clone() - Method in class org.nd4j.linalg.schedule.PolySchedule
-
- clone() - Method in class org.nd4j.linalg.schedule.SigmoidSchedule
-
- clone() - Method in class org.nd4j.linalg.schedule.StepSchedule
-
- clone() - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder
-
- clone() - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder
-
- clone() - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder
-
- clone() - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder
-
- clone() - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder
-
- clone() - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder
-
- clone() - Method in class org.tensorflow.distruntime.ClusterDef.Builder
-
- clone() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
- clone() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
- clone() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
- clone() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder
-
- clone() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
-
- clone() - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder
-
- clone() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
- clone() - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
-
- clone() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
-
- clone() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
-
- clone() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
- clone() - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder
-
- clone() - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder
-
- clone() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
- clone() - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder
-
- clone() - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder
-
- clone() - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
-
- clone() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder
-
- clone() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
- clone() - Method in class org.tensorflow.distruntime.JobDef.Builder
-
- clone() - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder
-
- clone() - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder
-
- clone() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
- clone() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
-
- clone() - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
-
- clone() - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder
-
- clone() - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder
-
- clone() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
- clone() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder
-
- clone() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
- clone() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
-
- clone() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
- clone() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
-
- clone() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
- clone() - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder
-
- clone() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder
-
- clone() - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder
-
- clone() - Method in class org.tensorflow.distruntime.ResetRequest.Builder
-
- clone() - Method in class org.tensorflow.distruntime.ResetResponse.Builder
-
- clone() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
-
- clone() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
-
- clone() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
- clone() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
- clone() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
- clone() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
- clone() - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
- clone() - Method in class org.tensorflow.distruntime.StepSequence.Builder
-
- clone() - Method in class org.tensorflow.distruntime.TraceOpts.Builder
-
- clone() - Method in class org.tensorflow.distruntime.TracingRequest.Builder
-
- clone() - Method in class org.tensorflow.distruntime.TracingResponse.Builder
-
- clone() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
- clone() - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
- clone() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
- clone() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
- clone() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
- clone() - Method in class org.tensorflow.framework.ApiDef.Builder
-
- clone() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
- clone() - Method in class org.tensorflow.framework.ApiDefs.Builder
-
- clone() - Method in class org.tensorflow.framework.AssetFileDef.Builder
-
- clone() - Method in class org.tensorflow.framework.AttrValue.Builder
-
- clone() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
- clone() - Method in class org.tensorflow.framework.AutoParallelOptions.Builder
-
- clone() - Method in class org.tensorflow.framework.CallableOptions.Builder
-
- clone() - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
-
- clone() - Method in class org.tensorflow.framework.CollectionDef.Builder
-
- clone() - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder
-
- clone() - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder
-
- clone() - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder
-
- clone() - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder
-
- clone() - Method in class org.tensorflow.framework.CondContextDef.Builder
-
- clone() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
- clone() - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder
-
- clone() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder
-
- clone() - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
- clone() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
- clone() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
- clone() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
- clone() - Method in class org.tensorflow.framework.CriticalSectionDef.Builder
-
- clone() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder
-
- clone() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
- clone() - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
-
- clone() - Method in class org.tensorflow.framework.DebugOptions.Builder
-
- clone() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
- clone() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
- clone() - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
- clone() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
- clone() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
- clone() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
- clone() - Method in class org.tensorflow.framework.GPUOptions.Builder
-
- clone() - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
-
- clone() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
-
- clone() - Method in class org.tensorflow.framework.GradientDef.Builder
-
- clone() - Method in class org.tensorflow.framework.GraphDef.Builder
-
- clone() - Method in class org.tensorflow.framework.GraphOptions.Builder
-
- clone() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
- clone() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
- clone() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
- clone() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
- clone() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
- clone() - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder
-
- clone() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
- clone() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
-
- clone() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
- clone() - Method in class org.tensorflow.framework.InterconnectLink.Builder
-
- clone() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
- clone() - Method in class org.tensorflow.framework.KernelDef.Builder
-
- clone() - Method in class org.tensorflow.framework.LocalLinks.Builder
-
- clone() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
- clone() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
- clone() - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
- clone() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
- clone() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
- clone() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
- clone() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
- clone() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
- clone() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
- clone() - Method in class org.tensorflow.framework.NameAttrList.Builder
-
- clone() - Method in class org.tensorflow.framework.NamedTensorProto.Builder
-
- clone() - Method in class org.tensorflow.framework.NodeDef.Builder
-
- clone() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
- clone() - Method in class org.tensorflow.framework.NodeOutput.Builder
-
- clone() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
- clone() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
- clone() - Method in class org.tensorflow.framework.OpDef.Builder
-
- clone() - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
- clone() - Method in class org.tensorflow.framework.OpList.Builder
-
- clone() - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
- clone() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
- clone() - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
- clone() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
- clone() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
- clone() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
- clone() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
- clone() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
- clone() - Method in class org.tensorflow.framework.RPCOptions.Builder
-
- clone() - Method in class org.tensorflow.framework.RunMetadata.Builder
-
- clone() - Method in class org.tensorflow.framework.RunOptions.Builder
-
- clone() - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder
-
- clone() - Method in class org.tensorflow.framework.SavedModel.Builder
-
- clone() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
- clone() - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder
-
- clone() - Method in class org.tensorflow.framework.SignatureDef.Builder
-
- clone() - Method in class org.tensorflow.framework.StepStats.Builder
-
- clone() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
- clone() - Method in class org.tensorflow.framework.Summary.Builder
-
- clone() - Method in class org.tensorflow.framework.Summary.Image.Builder
-
- clone() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
- clone() - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
- clone() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
- clone() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
- clone() - Method in class org.tensorflow.framework.TensorConnection.Builder
-
- clone() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
- clone() - Method in class org.tensorflow.framework.TensorInfo.Builder
-
- clone() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
- clone() - Method in class org.tensorflow.framework.TensorProto.Builder
-
- clone() - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
- clone() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
- clone() - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
- clone() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
- clone() - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder
-
- clone() - Method in class org.tensorflow.framework.ValuesDef.Builder
-
- clone() - Method in class org.tensorflow.framework.VariableDef.Builder
-
- clone() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
- clone() - Method in class org.tensorflow.framework.VersionDef.Builder
-
- clone() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
- clone() - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
- clone() - Method in class org.tensorflow.util.BundleHeaderProto.Builder
-
- clone() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
- clone() - Method in class org.tensorflow.util.SaverDef.Builder
-
- clone() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
-
- clone() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
- clone() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
-
- clone() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
- clone() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
-
- clone() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
- clone() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder
-
- clone() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
-
- clone() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
-
- clone() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
- clone() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
- clone() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
- clone() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
-
- clone() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
-
- clone() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
-
- clone() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
- clone() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
- clone() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
-
- clone() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
-
- clone() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
-
- clone() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
-
- clone() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
-
- clone() - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder
-
- close() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- close() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- close() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
This method releases exclusive off-heap resources uses by this INDArray instance.
- close() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- close() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
- close() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- close() - Method in class org.nd4j.linalg.workspace.WorkspacesCloseable
-
- CLOSE_OP_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.QueueRunnerDef
-
- closeable() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- closeable() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- closeable() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
This method checks, if this INDArray instalce can use close() method
- CloseSessionRequest - Class in org.tensorflow.distruntime
-
Protobuf type tensorflow.CloseSessionRequest
- CloseSessionRequest.Builder - Class in org.tensorflow.distruntime
-
Protobuf type tensorflow.CloseSessionRequest
- CloseSessionRequestOrBuilder - Interface in org.tensorflow.distruntime
-
- CloseSessionResponse - Class in org.tensorflow.distruntime
-
Protobuf type tensorflow.CloseSessionResponse
- CloseSessionResponse.Builder - Class in org.tensorflow.distruntime
-
Protobuf type tensorflow.CloseSessionResponse
- CloseSessionResponseOrBuilder - Interface in org.tensorflow.distruntime
-
- CLUSTER_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ConfigProto
-
- CLUSTER_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.ServerDef
-
- ClusterDef - Class in org.tensorflow.distruntime
-
Defines a TensorFlow cluster as a set of jobs.
- ClusterDef.Builder - Class in org.tensorflow.distruntime
-
Defines a TensorFlow cluster as a set of jobs.
- ClusterDefOrBuilder - Interface in org.tensorflow.distruntime
-
- ClusterProtos - Class in org.tensorflow.distruntime
-
- cnn - Variable in class org.nd4j.autodiff.samediff.SameDiff
-
Op creator object for convolutional neural network operations
- cnn() - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Op creator object for convolutional neural network operations
- Code - Enum in org.tensorflow.framework
-
The canonical error codes for TensorFlow APIs.
- codecs - Variable in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
- coeff - Variable in class org.nd4j.linalg.learning.regularization.WeightDecay
-
- col2Im(SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- col2Im(SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN
-
col2im operation for use in 2D convolution operations.
- col2Im(String, SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN
-
col2im operation for use in 2D convolution operations.
- Col2Im - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
-
Col2Im operation.
- Col2Im(SameDiff, SDVariable[], INDArray[], INDArray[], Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Col2Im
-
- Col2Im(SameDiff, SDVariable, Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Col2Im
-
- Col2Im() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Col2Im
-
- col2im(INDArray, int[], int[], int, int) - Static method in class org.nd4j.linalg.convolution.Convolution
-
- col2im(INDArray, int, int, int, int, int, int) - Static method in class org.nd4j.linalg.convolution.Convolution
-
Rearrange matrix
columns into blocks
- col2im(INDArray, INDArray, int, int, int, int, int, int, int, int) - Static method in class org.nd4j.linalg.convolution.Convolution
-
- col2im(INDArray, int[], int[], int, int) - Static method in class org.nd4j.linalg.convolution.OldConvolution
-
- col2im(INDArray, int, int, int, int, int, int) - Static method in class org.nd4j.linalg.convolution.OldConvolution
-
Rearrange matrix
columns into blocks
- collect(INDArray...) - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
This method detaches off-heap memory from passed INDArray instances, and optionally stores them in cache for future reuse
PLEASE NOTE: Cache options depend on specific implementations
- collect(INDArray...) - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method detaches off-heap memory from passed INDArray instances, and optionally stores them in cache for future reuse
PLEASE NOTE: Cache options depend on specific implementations
- COLLECTION_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MetaGraphDef
-
- CollectionDef - Class in org.tensorflow.framework
-
CollectionDef should cover most collections.
- CollectionDef.AnyList - Class in org.tensorflow.framework
-
AnyList is used for collecting Any protos.
- CollectionDef.AnyList.Builder - Class in org.tensorflow.framework
-
AnyList is used for collecting Any protos.
- CollectionDef.AnyListOrBuilder - Interface in org.tensorflow.framework
-
- CollectionDef.Builder - Class in org.tensorflow.framework
-
CollectionDef should cover most collections.
- CollectionDef.BytesList - Class in org.tensorflow.framework
-
BytesList is used for collecting strings and serialized protobufs.
- CollectionDef.BytesList.Builder - Class in org.tensorflow.framework
-
BytesList is used for collecting strings and serialized protobufs.
- CollectionDef.BytesListOrBuilder - Interface in org.tensorflow.framework
-
- CollectionDef.FloatList - Class in org.tensorflow.framework
-
FloatList is used for collecting float values.
- CollectionDef.FloatList.Builder - Class in org.tensorflow.framework
-
FloatList is used for collecting float values.
- CollectionDef.FloatListOrBuilder - Interface in org.tensorflow.framework
-
- CollectionDef.Int64List - Class in org.tensorflow.framework
-
Int64List is used for collecting int, int64 and long values.
- CollectionDef.Int64List.Builder - Class in org.tensorflow.framework
-
Int64List is used for collecting int, int64 and long values.
- CollectionDef.Int64ListOrBuilder - Interface in org.tensorflow.framework
-
- CollectionDef.KindCase - Enum in org.tensorflow.framework
-
- CollectionDef.NodeList - Class in org.tensorflow.framework
-
NodeList is used for collecting nodes in graph.
- CollectionDef.NodeList.Builder - Class in org.tensorflow.framework
-
NodeList is used for collecting nodes in graph.
- CollectionDef.NodeListOrBuilder - Interface in org.tensorflow.framework
-
- CollectionDefOrBuilder - Interface in org.tensorflow.framework
-
- COLLECTIVE_GRAPH_KEY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RegisterGraphRequest
-
- COLLECTIVE_GRAPH_KEY_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RunOptions.Experimental
-
- COLLECTIVE_GROUP_LEADER_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ConfigProto.Experimental
-
- collectTensorflowImportCoverage(SameDiff) - Static method in class org.nd4j.autodiff.validation.OpValidation
-
- COLORSPACE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Image
-
- columns() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Number of columns (shape[1]), throws an exception when
called when not 2d
- columns - Variable in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- columns() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- columns() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the number of columns in this matrix (throws exception if not 2d)
- columnsPointers - Variable in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
-
- commit() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- commit() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method ensures all operations that supposed to be executed at this moment, are executed and finished.
- comparable - Variable in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.And
-
- comparable - Variable in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Not
-
- comparable - Variable in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Or
-
- comparable - Variable in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Xor
-
- ComparableAtomicLong - Class in org.nd4j.linalg.profiler.data.primitives
-
- ComparableAtomicLong() - Constructor for class org.nd4j.linalg.profiler.data.primitives.ComparableAtomicLong
-
- ComparableAtomicLong(long) - Constructor for class org.nd4j.linalg.profiler.data.primitives.ComparableAtomicLong
-
- compare - Variable in class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex
-
- compare - Variable in class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex
-
- compare(StackNode, StackNode) - Method in class org.nd4j.linalg.profiler.data.primitives.StackComparator
-
- CompareAndReplace - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison
-
Element-wise Compare-and-Replace implementation as Op
Basically this op does the same as Compare-and-Set, but op.X is checked against Condition instead
- CompareAndReplace(SameDiff, SDVariable, SDVariable, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace
-
- CompareAndReplace() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace
-
- CompareAndReplace(INDArray, INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace
-
With this constructor, op will check each X element against given Condition, and if condition met, element Z will be set to Y value, and X otherwise
PLEASE NOTE: X will be modified inplace.
- CompareAndReplace(INDArray, INDArray, INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace
-
With this constructor, op will check each X element against given Condition, and if condition met, element Z will be set to Y value, and X otherwise
Pseudocode:
z[i] = condition(x[i]) ? y[i] : x[i];
- CompareAndSet - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison
-
Element-wise Compare-and-set implementation as Op
Please check javadoc to specific constructors, for detail information.
- CompareAndSet(SameDiff, SDVariable, Number, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
- CompareAndSet() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
- CompareAndSet(INDArray, double, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
- CompareAndSet(INDArray, double, double, double, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
- CompareAndSet(INDArray, double, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
With this constructor, op will check each X element against given Condition, and if condition met, element will be replaced with Set value
Pseudocode:
z[i] = condition(x[i]) ? set : x[i];
PLEASE NOTE: X will be modified inplace.
- CompareAndSet(INDArray, INDArray, double, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
With this constructor, op will check each X element against given Condition, and if condition met, element will be replaced with Set value
Pseudocode:
z[i] = condition(x[i]) ? set : x[i];
- CompareAndSet(INDArray, INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
With this constructor, op will check each Y element against given Condition, and if condition met, element Z will be set to Y value, and X otherwise
PLEASE NOTE: X will be modified inplace.
- CompareAndSet(INDArray, INDArray, INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
With this constructor, op will check each Y element against given Condition, and if condition met, element Z will be set to Y value, and X otherwise
Pseudocode:
z[i] = condition(y[i]) ? y[i] : x[i];
- CompareAndSet(INDArray, INDArray, double, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
This constructor is shortcut to epsEquals.
- compareTo(ComparableAtomicLong) - Method in class org.nd4j.linalg.profiler.data.primitives.ComparableAtomicLong
-
- compareTo(StackNode) - Method in class org.nd4j.linalg.profiler.data.primitives.StackNode
-
- compareTo(TimeSet) - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet
-
- ComparisonResult() - Constructor for class org.nd4j.linalg.util.ND4JTestUtils.ComparisonResult
-
- CompleteGroupRequest - Class in org.tensorflow.distruntime
-
Supplies one or more device names as members of the group identified by
group_key.
- CompleteGroupRequest.Builder - Class in org.tensorflow.distruntime
-
Supplies one or more device names as members of the group identified by
group_key.
- CompleteGroupRequestOrBuilder - Interface in org.tensorflow.distruntime
-
- CompleteGroupResponse - Class in org.tensorflow.distruntime
-
Gives the complete membership of the group identified by group_key.
- CompleteGroupResponse.Builder - Class in org.tensorflow.distruntime
-
Gives the complete membership of the group identified by group_key.
- CompleteGroupResponseOrBuilder - Interface in org.tensorflow.distruntime
-
- CompleteInstanceRequest - Class in org.tensorflow.distruntime
-
Supplies data about one collective op belonging to the instance identified
by instance_key.
- CompleteInstanceRequest.Builder - Class in org.tensorflow.distruntime
-
Supplies data about one collective op belonging to the instance identified
by instance_key.
- CompleteInstanceRequestOrBuilder - Interface in org.tensorflow.distruntime
-
- CompleteInstanceResponse - Class in org.tensorflow.distruntime
-
Confirms that every op in the instance has consistently declared itself.
- CompleteInstanceResponse.Builder - Class in org.tensorflow.distruntime
-
Confirms that every op in the instance has consistently declared itself.
- CompleteInstanceResponseOrBuilder - Interface in org.tensorflow.distruntime
-
- COMPLEX128_VALUE - Static variable in enum onnx.OnnxMlProto3.TensorProto.DataType
-
complex with float64 real and imaginary components
- COMPLEX128_VALUE - Static variable in enum onnx.OnnxProto3.TensorProto.DataType
-
complex with float64 real and imaginary components
- COMPLEX64_VALUE - Static variable in enum onnx.OnnxMlProto3.TensorProto.DataType
-
complex with float32 real and imaginary components
- COMPLEX64_VALUE - Static variable in enum onnx.OnnxProto3.TensorProto.DataType
-
complex with float32 real and imaginary components
- CompositeDataSetPreProcessor - Class in org.nd4j.linalg.dataset.api.preprocessor
-
A simple Composite DataSetPreProcessor - allows you to apply multiple DataSetPreProcessors sequentially
on the one DataSet, in the order they are passed to the constructor
- CompositeDataSetPreProcessor(DataSetPreProcessor...) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.CompositeDataSetPreProcessor
-
- CompositeMultiDataSetPreProcessor - Class in org.nd4j.linalg.dataset.api.preprocessor
-
A simple Composite MultiDataSetPreProcessor - allows you to apply multiple MultiDataSetPreProcessors sequentially
on the one MultiDataSet, in the order they are passed to the constructor
- CompositeMultiDataSetPreProcessor(MultiDataSetPreProcessor...) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.CompositeMultiDataSetPreProcessor
-
- compress(DataBuffer) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
Compress the given data buffer
given the default compression algorithm
- compress(DataBuffer, String) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
Compress the data buffer
given a specified algorithm
- compress(INDArray) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
- compress(INDArray, String) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
Returns a compressed version of the
given ndarray
- compress(float[]) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
This method returns compressed INDArray instance which contains JVM array passed in
- compress(double[]) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
This method returns compressed INDArray instance which contains JVM array passed in
- compress(INDArray) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
This method returns compressed copy of referenced array
- compress(DataBuffer) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
- compress(float[]) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
This method creates compressed INDArray from Java float array, skipping usual INDArray instantiation routines
Please note: This method compresses input data as vector
- compress(double[]) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
This method creates compressed INDArray from Java double array, skipping usual INDArray instantiation routines
Please note: This method compresses input data as vector
- compress(float[], int[], char) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
This method creates compressed INDArray from Java float array, skipping usual INDArray instantiation routines
- compress(double[], int[], char) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
This method creates compressed INDArray from Java double array, skipping usual INDArray instantiation routines
- compressDebug - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- compressed - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- CompressedDataBuffer - Class in org.nd4j.linalg.compression
-
- CompressedDataBuffer(Pointer, CompressionDescriptor) - Constructor for class org.nd4j.linalg.compression.CompressedDataBuffer
-
- compressi(INDArray) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
In place compression of the passed in ndarray
with the default compression algorithm
- compressi(INDArray, String) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
In place Compress the given ndarray
with the given algorithm
- compressi(INDArray) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
Inplace compression of INDArray
- COMPRESSION_BYTE_BUFFER_LENGTH - Static variable in class org.nd4j.linalg.compression.CompressionDescriptor
-
- COMPRESSION_DEBUG - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- CompressionAlgorithm - Enum in org.nd4j.linalg.compression
-
Compression algorithm enum
- compressionDescriptor - Variable in class org.nd4j.linalg.compression.CompressedDataBuffer
-
- CompressionDescriptor - Class in org.nd4j.linalg.compression
-
A compression descriptor containing the
compression opType, compression algorithm,
original length, compressed length,
number of elements, and the original
element size
- CompressionDescriptor() - Constructor for class org.nd4j.linalg.compression.CompressionDescriptor
-
- CompressionDescriptor(DataBuffer) - Constructor for class org.nd4j.linalg.compression.CompressionDescriptor
-
Create a compression descriptor from the given
data buffer elements
- CompressionDescriptor(DataBuffer, String) - Constructor for class org.nd4j.linalg.compression.CompressionDescriptor
-
Initialize a compression descriptor
based on the given algorithm and data buffer
- CompressionDescriptor(DataBuffer, NDArrayCompressor) - Constructor for class org.nd4j.linalg.compression.CompressionDescriptor
-
Initialize a compression descriptor
based on the given data buffer (for the sizes)
and the compressor to get the opType
- CompressionType - Enum in org.nd4j.linalg.compression
-
- CompressionUtils - Class in org.nd4j.linalg.compression
-
This class provides utility methods for Compression in ND4J
- CompressionUtils() - Constructor for class org.nd4j.linalg.compression.CompressionUtils
-
- COMPUTE_COST_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node
-
- COMPUTE_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in interface org.nd4j.linalg.lossfunctions.ILossFunction
-
Compute the gradient of the loss function with respect to the inputs: dL/dOutput
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAE
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
-
This method returns the gradient of the cost function with respect to the
output from the previous layer.
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSE
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMultiLabel
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossWasserstein
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in interface org.nd4j.linalg.lossfunctions.ILossFunction
-
Compute both the score (loss function value) and gradient.
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMultiLabel
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossWasserstein
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in interface org.nd4j.linalg.lossfunctions.ILossFunction
-
Compute the score (loss function value) for the given inputs.
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAE
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
-
Computes the aggregate score as a sum of all of the individual scores of
each of the labels against each of the outputs of the network.
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSE
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMultiLabel
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossWasserstein
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in interface org.nd4j.linalg.lossfunctions.ILossFunction
-
Compute the score (loss function value) for each example individually.
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAE
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
-
This method returns the score for each of the given outputs against the
given set of labels.
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSE
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMultiLabel
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossWasserstein
-
- concat(int, SDVariable...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- concat(int, SDVariable...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- concat(String, int, SDVariable...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Concatenate a set of inputs along the specified dimension.
Note that inputs must have identical rank and identical dimensions, other than the dimension to stack on.
For example, if 2 inputs have shape [a, x, c] and [a, y, c] and dimension = 1, then the output has shape [a, x+y, c]
- Concat - Class in org.nd4j.linalg.api.ops.impl.shape
-
- Concat() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Concat
-
- Concat(SameDiff, int, SDVariable...) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Concat
-
- concat(SDVariable) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray
-
- concat(int, INDArray...) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
concatenate ndarrays along a dimension
- concat(int, INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Concatneate ndarrays along a dimension
- concat(int, INDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Concatneate ndarrays along a dimension
- ConcatBp - Class in org.nd4j.linalg.api.ops.impl.shape.bp
-
Backprop op for concat
- ConcatBp() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.bp.ConcatBp
-
- ConcatBp(SameDiff, int, SDVariable...) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.bp.ConcatBp
-
- cond(Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- cond(Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- cond(Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns a binary INDArray with value 'true' if the element matches the specified condition and 'false' otherwise
- COND_CTXT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ControlFlowContextDef
-
- CondContextDef - Class in org.tensorflow.framework
-
Protocol buffer representing a CondContext object.
- CondContextDef.Builder - Class in org.tensorflow.framework
-
Protocol buffer representing a CondContext object.
- CondContextDefOrBuilder - Interface in org.tensorflow.framework
-
- condition - Variable in class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex
-
- condition - Variable in class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex
-
- Condition - Interface in org.nd4j.linalg.indexing.conditions
-
Condition for boolean indexing
- CONDITIONAL - Static variable in class org.nd4j.graph.OpClass
-
- ConditionalFieldValueIntIndexArrayAdapter - Class in org.nd4j.imports.descriptors.properties.adapters
-
- ConditionalFieldValueIntIndexArrayAdapter() - Constructor for class org.nd4j.imports.descriptors.properties.adapters.ConditionalFieldValueIntIndexArrayAdapter
-
- ConditionalFieldValueNDArrayShapeAdapter - Class in org.nd4j.imports.descriptors.properties.adapters
-
- ConditionalFieldValueNDArrayShapeAdapter() - Constructor for class org.nd4j.imports.descriptors.properties.adapters.ConditionalFieldValueNDArrayShapeAdapter
-
- ConditionBuilder - Class in org.nd4j.linalg.indexing.conditions
-
Mini dsl for building conditions
- ConditionBuilder() - Constructor for class org.nd4j.linalg.indexing.conditions.ConditionBuilder
-
- ConditionEquals - Class in org.nd4j.linalg.indexing.conditions
-
Returns true when all of the conditions equal each other
- ConditionEquals(Condition...) - Constructor for class org.nd4j.linalg.indexing.conditions.ConditionEquals
-
- Conditions - Class in org.nd4j.linalg.indexing.conditions
-
Static class for conditions
- Conditions() - Constructor for class org.nd4j.linalg.indexing.conditions.Conditions
-
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.AbsValueGreaterOrEqualsThan
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.AbsValueGreaterThan
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.AbsValueLessOrEqualsThan
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.AbsValueLessThan
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.And
-
Returns condition ID for native side
- condtionNum() - Method in interface org.nd4j.linalg.indexing.conditions.Condition
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.ConditionEquals
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.EpsilonEquals
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.EpsilonNotEquals
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.EqualsCondition
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.GreaterThan
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.GreaterThanOrEqual
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.IsFinite
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.IsInfinite
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.IsNaN
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.LessThan
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.LessThanOrEqual
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.Not
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.NotEqualsCondition
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.NotFinite
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.Or
-
Returns condition ID for native side
- config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D
-
- config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D
-
- config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D
-
- config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D
-
- config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D
-
- config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DTF
-
- config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3D
-
- config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3DDerivative
-
- config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D
-
- config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.FullConv3D
-
- config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalization
-
- config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D
-
- config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D
-
- config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D
-
- CONFIG_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CreateSessionRequest
-
- configFieldName() - Method in class org.nd4j.autodiff.functions.DifferentialFunction
-
Returns the name of the field to be used for looking up field names.
- configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D
-
- configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling3D
-
- configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D
-
- configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D
-
- configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D
-
- configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D
-
- configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DTF
-
- configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3D
-
- configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D
-
- configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.FullConv3D
-
- configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D
-
- configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling3D
-
- configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D
-
- configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D
-
- configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D
-
- configMap - Variable in class org.nd4j.linalg.workspace.BaseWorkspaceMgr
-
- ConfigProto - Class in org.tensorflow.framework
-
Session configuration parameters.
- ConfigProto.Builder - Class in org.tensorflow.framework
-
Session configuration parameters.
- ConfigProto.Experimental - Class in org.tensorflow.framework
-
Everything inside Experimental is subject to change and is not subject
to API stability guarantees in
https://www.tensorflow.org/guide/version_compat.
- ConfigProto.Experimental.Builder - Class in org.tensorflow.framework
-
Everything inside Experimental is subject to change and is not subject
to API stability guarantees in
https://www.tensorflow.org/guide/version_compat.
- ConfigProto.ExperimentalOrBuilder - Interface in org.tensorflow.framework
-
- ConfigProtoOrBuilder - Interface in org.tensorflow.framework
-
- ConfigProtos - Class in org.tensorflow.framework
-
- configuration() - Method in class org.nd4j.graph.FlatGraph
-
- configuration(FlatConfiguration) - Method in class org.nd4j.graph.FlatGraph
-
- configuration() - Method in class org.nd4j.graph.FlatInferenceRequest
-
- configuration(FlatConfiguration) - Method in class org.nd4j.graph.FlatInferenceRequest
-
- configure(Object...) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
This method allows to pass compressor-dependent configuration options to this compressor
PLEASE NOTE: Each compressor has own options, please check corresponding implementations javadoc
- confusion - Variable in class org.nd4j.evaluation.classification.Evaluation
-
- Confusion() - Constructor for class org.nd4j.evaluation.curves.PrecisionRecallCurve.Confusion
-
- CONFUSION_PRINT_MAX_CLASSES - Static variable in class org.nd4j.evaluation.classification.Evaluation
-
- confusionMatrix(SDVariable, SDVariable, DataType) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- confusionMatrix(SDVariable, SDVariable, Integer) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- confusionMatrix(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- confusionMatrix(SDVariable, SDVariable, Integer, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- confusionMatrix(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
- confusionMatrix(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
- confusionMatrix(String, SDVariable, SDVariable, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Compute the 2d confusion matrix of size [numClasses, numClasses] from a pair of labels and predictions, both of
which are represented as integer values.
- confusionMatrix(SDVariable, SDVariable, Integer) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
- confusionMatrix(String, SDVariable, SDVariable, Integer) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Compute the 2d confusion matrix of size [numClasses, numClasses] from a pair of labels and predictions, both of
which are represented as integer values.
For example, if labels = [0, 1, 1], predicted = [0, 2, 1], and numClasses=4 then output is:
[1, 0, 0, 0]
[0, 1, 1, 0]
[0, 0, 0, 0]
[0, 0, 0, 0]
- confusionMatrix(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
- confusionMatrix(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Compute the 2d confusion matrix of size [numClasses, numClasses] from a pair of labels and predictions, both of
which are represented as integer values.
- confusionMatrix(SDVariable, SDVariable, Integer, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
- confusionMatrix(String, SDVariable, SDVariable, Integer, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Compute the 2d confusion matrix of size [numClasses, numClasses] from a pair of labels and predictions, both of
which are represented as integer values.
For example, if labels = [0, 1, 1], predicted = [0, 2, 1], numClasses = 4, and weights = [1, 2, 3]
[1, 0, 0, 0]
[0, 3, 2, 0]
[0, 0, 0, 0]
[0, 0, 0, 0]
- ConfusionMatrix<T extends Comparable<? super T>> - Class in org.nd4j.evaluation.classification
-
- ConfusionMatrix(List<T>) - Constructor for class org.nd4j.evaluation.classification.ConfusionMatrix
-
Creates an empty confusion Matrix
- ConfusionMatrix() - Constructor for class org.nd4j.evaluation.classification.ConfusionMatrix
-
- ConfusionMatrix(ConfusionMatrix<T>) - Constructor for class org.nd4j.evaluation.classification.ConfusionMatrix
-
Creates a new ConfusionMatrix initialized with the contents of another ConfusionMatrix.
- confusionMatrix() - Method in class org.nd4j.evaluation.classification.Evaluation
-
Get the confusion matrix as a String
- ConfusionMatrix - Class in org.nd4j.linalg.api.ops.impl.shape
-
- ConfusionMatrix() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix
-
- ConfusionMatrix(SameDiff, SDVariable, SDVariable, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix
-
- ConfusionMatrix(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix
-
- ConfusionMatrix(SameDiff, SDVariable, SDVariable, Integer) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix
-
- ConfusionMatrix(SameDiff, SDVariable, SDVariable, Integer, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix
-
- ConfusionMatrixDeserializer - Class in org.nd4j.evaluation.serde
-
A JSON deserializer for ConfusionMatrix<Integer>
instances, used in org.deeplearning4j.eval.Evaluation
- ConfusionMatrixDeserializer() - Constructor for class org.nd4j.evaluation.serde.ConfusionMatrixDeserializer
-
- confusionMatrixMetaData - Variable in class org.nd4j.evaluation.classification.Evaluation
-
- ConfusionMatrixSerializer - Class in org.nd4j.evaluation.serde
-
A JSON serializer for ConfusionMatrix<Integer>
instances, used in org.deeplearning4j.eval.Evaluation
- ConfusionMatrixSerializer() - Constructor for class org.nd4j.evaluation.serde.ConfusionMatrixSerializer
-
- confusionToString() - Method in class org.nd4j.evaluation.classification.Evaluation
-
Get a String representation of the confusion matrix
- CONST_NODE_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferInfo
-
- constant(SDVariable, long...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- constant(INDArray) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Create an SDVariable with a fixed/constant value, with a generated name
Constants are not modified by training/backprop.
- constant(String, INDArray) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Create an SDVariable with a fixed/constant value
Constants are not modified by training/backprop.
- constant(SDVariable, long...) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Deprecated.
- constant(String, SDVariable, long...) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Deprecated.
- constant(double) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Create a new double scalar constant (rank 0) with the specified value.
Constants are not modified by training/backprop.
- constant(String, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Create a new double scalar constant (rank 0) with the specified value
- constant(float) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Create a new float scalar constant (rank 0) with the specified value
Constants are not modified by training/backprop.
- constant(String, float) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Create a new float scalar constant (rank 0) with the specified value
- constant(int) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Create a new integer scalar constant (rank 0) with the specified value
- constant(String, int) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Create a new integer scalar constant (rank 0) with the specified value
- constant(long) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Create a new long scalar constant (rank 0) with the specified value
- constant(String, long) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Create a new long scalar constant (rank 0) with the specified value
- constant(String, DataType, Number) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Create a new scalar constant (rank 0) with the specified value and datatype
- CONSTANT - Static variable in class org.nd4j.graph.VarType
-
- Constant - Class in org.nd4j.linalg.api.ops.impl.transforms
-
- Constant() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Constant
-
- Constant(SameDiff, SDVariable, long[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Constant
-
- Constant(SameDiff, SDVariable, long[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Constant
-
- CONSTANT_FOLDING_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RewriterConfig
-
- CONSTANT_PROVIDER - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- ConstantDistribution - Class in org.nd4j.linalg.api.rng.distribution.impl
-
This is not real distribution.
- ConstantDistribution(double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
-
- ConstantHandler - Interface in org.nd4j.linalg.cache
-
This interface describes
memory reuse strategy
for java-originated arrays.
- constantHandler - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- ConstantInitScheme - Class in org.nd4j.weightinit.impl
-
Initialize the weight to zero.
- ConstantInitScheme(char, double) - Constructor for class org.nd4j.weightinit.impl.ConstantInitScheme
-
- constantProviderClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- constantValue() - Method in class org.nd4j.graph.UIVariable
-
- constantValue(FlatArray) - Method in class org.nd4j.graph.UIVariable
-
- CONSTRAINT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.KernelDef
-
- consume(StackDescriptor, int) - Method in class org.nd4j.linalg.profiler.data.primitives.StackNode
-
- consume(StackDescriptor, int, long) - Method in class org.nd4j.linalg.profiler.data.primitives.StackNode
-
- consumeStackTrace(StackDescriptor) - Method in class org.nd4j.linalg.profiler.data.primitives.StackTree
-
- consumeStackTrace(StackDescriptor, long) - Method in class org.nd4j.linalg.profiler.data.primitives.StackTree
-
- container - Variable in class org.nd4j.list.BaseNDArrayList
-
- CONTAINER_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CleanupAllRequest
-
- CONTAINER_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.ResetRequest
-
- CONTAINER_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ResourceHandleProto
-
- contains(String, String, int, AbstractSession.FrameIter) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession
-
- contains(String) - Method in interface org.nd4j.linalg.dataset.api.iterator.cache.DataSetCache
-
- contains(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache
-
- contains(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache
-
- contains(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InMemoryDataSetCache
-
- contains(Object) - Method in class org.nd4j.list.BaseNDArrayList
-
- contains(Object) - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
-
- contains(Object) - Method in class org.nd4j.list.NDArrayList
-
- containsAll(Collection<?>) - Method in class org.nd4j.list.BaseNDArrayList
-
- containsAll(Collection<?>) - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
-
- containsAll(Collection<?>) - Method in class org.nd4j.list.NDArrayList
-
- containsAttr(String) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
Attributes specific to this function definition.
- containsAttr(String) - Method in class org.tensorflow.framework.FunctionDef
-
Attributes specific to this function definition.
- containsAttr(String) - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
Attributes specific to this function definition.
- containsAttr(String) - Method in class org.tensorflow.framework.NameAttrList.Builder
-
map<string, .tensorflow.AttrValue> attr = 2;
- containsAttr(String) - Method in class org.tensorflow.framework.NameAttrList
-
map<string, .tensorflow.AttrValue> attr = 2;
- containsAttr(String) - Method in interface org.tensorflow.framework.NameAttrListOrBuilder
-
map<string, .tensorflow.AttrValue> attr = 2;
- containsAttr(String) - Method in class org.tensorflow.framework.NodeDef.Builder
-
Operation-specific graph-construction-time configuration.
- containsAttr(String) - Method in class org.tensorflow.framework.NodeDef
-
Operation-specific graph-construction-time configuration.
- containsAttr(String) - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
Operation-specific graph-construction-time configuration.
- containsAttrs(String) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
map<string, .tensorflow.AttrValue> attrs = 5;
- containsAttrs(String) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation
-
map<string, .tensorflow.AttrValue> attrs = 5;
- containsAttrs(String) - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
map<string, .tensorflow.AttrValue> attrs = 5;
- containsCollectionDef(String) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
collection_def: Map from collection name to collections.
- containsCollectionDef(String) - Method in class org.tensorflow.framework.MetaGraphDef
-
collection_def: Map from collection name to collections.
- containsCollectionDef(String) - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder
-
collection_def: Map from collection name to collections.
- containsDeviceCount(String) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Map from device type name (e.g., "CPU" or "GPU" ) to maximum
number of devices of that type to use.
- containsDeviceCount(String) - Method in class org.tensorflow.framework.ConfigProto
-
Map from device type name (e.g., "CPU" or "GPU" ) to maximum
number of devices of that type to use.
- containsDeviceCount(String) - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
Map from device type name (e.g., "CPU" or "GPU" ) to maximum
number of devices of that type to use.
- containsEnvironment(String) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Version of the tools and libraries used with this device (e.g.
- containsEnvironment(String) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties
-
Version of the tools and libraries used with this device (e.g.
- containsEnvironment(String) - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Version of the tools and libraries used with this device (e.g.
- containsExternalValues(String) - Method in class org.tensorflow.framework.ValuesDef.Builder
-
Value names referenced by but external to this context.
- containsExternalValues(String) - Method in class org.tensorflow.framework.ValuesDef
-
Value names referenced by but external to this context.
- containsExternalValues(String) - Method in interface org.tensorflow.framework.ValuesDefOrBuilder
-
Value names referenced by but external to this context.
- containsInputs(String) - Method in class org.tensorflow.framework.SignatureDef.Builder
-
Named input parameters.
- containsInputs(String) - Method in class org.tensorflow.framework.SignatureDef
-
Named input parameters.
- containsInputs(String) - Method in interface org.tensorflow.framework.SignatureDefOrBuilder
-
Named input parameters.
- containsKey(T) - Method in interface org.nd4j.linalg.compression.AbstractStorage
-
This method checks, if storage contains specified key
- containsOutputs(String) - Method in class org.tensorflow.framework.SignatureDef.Builder
-
Named output parameters.
- containsOutputs(String) - Method in class org.tensorflow.framework.SignatureDef
-
Named output parameters.
- containsOutputs(String) - Method in interface org.tensorflow.framework.SignatureDefOrBuilder
-
Named output parameters.
- containsParameterMap(String) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
map<string, .tensorflow.AttrValue> parameter_map = 2;
- containsParameterMap(String) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
-
map<string, .tensorflow.AttrValue> parameter_map = 2;
- containsParameterMap(String) - Method in interface org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder
-
map<string, .tensorflow.AttrValue> parameter_map = 2;
- containsRet(String) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- containsRet(String) - Method in class org.tensorflow.framework.FunctionDef
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- containsRet(String) - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- containsSignatureDef(String) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
signature_def: Map from user supplied key for a signature to a single
SignatureDef.
- containsSignatureDef(String) - Method in class org.tensorflow.framework.MetaGraphDef
-
signature_def: Map from user supplied key for a signature to a single
SignatureDef.
- containsSignatureDef(String) - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder
-
signature_def: Map from user supplied key for a signature to a single
SignatureDef.
- containsTasks(int) - Method in class org.tensorflow.distruntime.JobDef.Builder
-
Mapping from task ID to "hostname:port" string.
- containsTasks(int) - Method in class org.tensorflow.distruntime.JobDef
-
Mapping from task ID to "hostname:port" string.
- containsTasks(int) - Method in interface org.tensorflow.distruntime.JobDefOrBuilder
-
Mapping from task ID to "hostname:port" string.
- CONTENT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.SummaryMetadata.PluginData
-
- CONTENT_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Audio
-
- contentEquals(int[], DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Compare the contents of a buffer and
an array for equals
- contentEquals(long[], long[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- contentEquals(long[], DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- contentEquals(int[], IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Compare the contents of a buffer and
an array for equals
- contentEquals(long[], IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- CONTEXT_ID_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
-
- CONTEXT_ID_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
-
- CONTEXT_ID_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
-
- CONTEXT_ID_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
-
- CONTEXT_ID_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
-
- CONTEXT_ID_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
-
- CONTEXT_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CondContextDef
-
- CONTEXT_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.WhileContextDef
-
- contextPointer() - Method in interface org.nd4j.linalg.api.ops.OpContext
-
This method returns pointer to context, to be used during native op execution
- CONTROL_INPUT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node
-
- CONTROL_OP_IDS_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.Operation
-
- controlDeps - Variable in class org.nd4j.autodiff.samediff.internal.SameDiffOp
-
- controlDeps - Variable in class org.nd4j.autodiff.samediff.internal.Variable
-
- controlDeps(int) - Method in class org.nd4j.graph.UIOp
-
- controlDeps(int) - Method in class org.nd4j.graph.UIVariable
-
- controlDepsForOp - Variable in class org.nd4j.autodiff.samediff.internal.Variable
-
- controlDepsForOp(int) - Method in class org.nd4j.graph.UIVariable
-
- controlDepsForOpLength() - Method in class org.nd4j.graph.UIVariable
-
- controlDepsForVar - Variable in class org.nd4j.autodiff.samediff.internal.Variable
-
- controlDepsForVar(int) - Method in class org.nd4j.graph.UIVariable
-
- controlDepsForVarLength() - Method in class org.nd4j.graph.UIVariable
-
- controlDepsLength() - Method in class org.nd4j.graph.UIOp
-
- controlDepsLength() - Method in class org.nd4j.graph.UIVariable
-
- ControlFlowContextDef - Class in org.tensorflow.framework
-
Container for any kind of control flow context.
- ControlFlowContextDef.Builder - Class in org.tensorflow.framework
-
Container for any kind of control flow context.
- ControlFlowContextDef.CtxtCase - Enum in org.tensorflow.framework
-
- ControlFlowContextDefOrBuilder - Interface in org.tensorflow.framework
-
- ControlFlowProtos - Class in org.tensorflow.framework
-
- conv1d(SDVariable, SDVariable, Conv1DConfig) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
Conv1d operation.
- conv1d(SDVariable, SDVariable, Conv1DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN
-
1D Convolution layer operation - Conv1d
- conv1d(String, SDVariable, SDVariable, Conv1DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN
-
Conv1d operation.
- Conv1D - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
-
Conv2D operation
- Conv1D(SameDiff, SDVariable[], INDArray[], INDArray[], Conv1DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D
-
- Conv1DConfig - Class in org.nd4j.linalg.api.ops.impl.layers.convolution.config
-
- Conv1DConfig() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv1DConfig
-
- conv2d(SDVariable[], Conv2DConfig) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
Conv2d operation.
- conv2d(SDVariable, SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN
-
2D Convolution operation (without bias)
- conv2d(SDVariable, SDVariable, SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN
-
2D Convolution operation with optional bias
- conv2d(SDVariable[], Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN
-
2D Convolution operation with optional bias
- conv2d(String, SDVariable[], Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN
-
2D Convolution operation with optional bias
- Conv2D - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
-
Conv2D operation
- Conv2D(SameDiff, SDVariable[], INDArray[], INDArray[], Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D
-
- conv2d(INDArray, INDArray, Convolution.Type) - Method in class org.nd4j.linalg.convolution.BaseConvolution
-
2d convolution (aka the last 2 dimensions
- conv2d(INDArray, INDArray, Convolution.Type) - Static method in class org.nd4j.linalg.convolution.Convolution
-
2d convolution (aka the last 2 dimensions
- conv2d(INDArray, INDArray, Convolution.Type) - Method in interface org.nd4j.linalg.convolution.ConvolutionInstance
-
2d convolution (aka the last 2 dimensions
- conv2DConfig - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Col2Im
-
- Conv2DConfig - Class in org.nd4j.linalg.api.ops.impl.layers.convolution.config
-
- Conv2DConfig() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv2DConfig
-
- conv2DConfig - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2col
-
- conv2DConfig - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2colBp
-
- Conv2DDerivative - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
-
Conv2DDerivative operation
- Conv2DDerivative(SameDiff, SDVariable[], INDArray[], INDArray[], Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2DDerivative
-
- Conv2DDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2DDerivative
-
- conv3d(SDVariable[], Conv3DConfig) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
Conv3d operation.
- conv3d(SDVariable, SDVariable, Conv3DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN
-
Convolution 3D operation without bias
- conv3d(String, SDVariable, SDVariable, SDVariable, Conv3DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN
-
Convolution 3D operation with optional bias
- conv3d(SDVariable, SDVariable, SDVariable, Conv3DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN
-
Convolution 3D operation with optional bias
- conv3d(String, SDVariable, SDVariable, Conv3DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN
-
Convolution 3D operation without bias
- Conv3D - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
-
Conv3D operation
- Conv3D() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D
-
- Conv3D(SameDiff, SDVariable[], INDArray[], INDArray[], Conv3DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D
-
- Conv3DConfig - Class in org.nd4j.linalg.api.ops.impl.layers.convolution.config
-
- Conv3DConfig() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv3DConfig
-
- Conv3DDerivative - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
-
Conv3DDerivative operation
- Conv3DDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3DDerivative
-
- Conv3DDerivative(SameDiff, SDVariable[], INDArray[], INDArray[], Conv3DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3DDerivative
-
- convertBackToFeatures(INDArray) - Method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
Take the data that has been transformed to the principal components about the mean and
transform it back into the original feature set.
- convertDataEx(DataTypeEx, INDArray, DataTypeEx) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- convertDataEx(DataTypeEx, DataBuffer, DataTypeEx) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- convertDataEx(DataTypeEx, DataBuffer, DataTypeEx, DataBuffer) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- convertDataEx(DataTypeEx, Pointer, DataTypeEx, Pointer, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- convertDataEx(DataTypeEx, Pointer, DataTypeEx, DataBuffer) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- convertFromApacheMatrix(RealMatrix, DataType) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- convertToApacheMatrix(INDArray) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- convertToComponents(INDArray) - Method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
Takes a set of data on each row, with the same number of features as the constructing data
and returns the data in the coordinates of the basis set about the mean.
- convertToConstant(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Convert the specified variable to a constant.
- convertToConstant() - Method in class org.nd4j.autodiff.samediff.SDVariable
-
Convert this variable to a constant.
- convertToConstants(List<SDVariable>) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Convert all of the specified variables to constants.
- convertToDataType(DataType) - Static method in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper
-
- convertToFlatBuffers(SameDiff, ExecutorConfiguration) - Method in class org.nd4j.autodiff.execution.BasicGraphExecutioner
-
- convertToFlatBuffers(SameDiff, ExecutorConfiguration) - Method in interface org.nd4j.autodiff.execution.GraphExecutioner
-
This method converts given SameDiff instance to FlatBuffers representation
- convertToNumpy(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- convertToNumpy(INDArray) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- convertToVariable(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Convert the specified variable to a VARIABLE type SDVariable.
This can only be done for constants and placeholders, not ARRAY type variables (which are usually network activations).
- convertToVariable() - Method in class org.nd4j.autodiff.samediff.SDVariable
-
Convert this variable to a VARIABLE type SDVariable.
This can only be done for constants and placeholders, not ARRAY type variables (which are usually network activations).
- convertToVariables(List<SDVariable>) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Convert the specified variables to VARIABLE type SDVariables.
This can only be done for constants and placeholders, not ARRAY type variables (which are usually network activations).
- convertType(DataType) - Static method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- convertType(DataType) - Static method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- convn(INDArray, INDArray, Convolution.Type) - Method in class org.nd4j.linalg.convolution.BaseConvolution
-
ND Convolution
- convn(INDArray, INDArray, Convolution.Type, int[]) - Static method in class org.nd4j.linalg.convolution.Convolution
-
ND Convolution
- convn(INDArray, INDArray, Convolution.Type) - Static method in class org.nd4j.linalg.convolution.Convolution
-
ND Convolution
- convn(INDArray, INDArray, Convolution.Type, int[]) - Method in interface org.nd4j.linalg.convolution.ConvolutionInstance
-
ND Convolution
- convn(INDArray, INDArray, Convolution.Type) - Method in interface org.nd4j.linalg.convolution.ConvolutionInstance
-
ND Convolution
- convn(INDArray, INDArray, Convolution.Type, int[]) - Method in class org.nd4j.linalg.convolution.DefaultConvolutionInstance
-
ND Convolution
- Convolution - Class in org.nd4j.linalg.convolution
-
Convolution is the
code for applying
the convolution operator.
- Convolution.Type - Enum in org.nd4j.linalg.convolution
-
- CONVOLUTION_INSTANCE - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- CONVOLUTION_OPS - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- ConvolutionInstance - Interface in org.nd4j.linalg.convolution
-
Convolution instance.
- convolutionInstanceClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- COO_SPARSE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorInfo
-
- CoordinateFunction - Interface in org.nd4j.linalg.api.shape.loop.coordinatefunction
-
Coordinate function for handling
1 or more calls based on a set of coordinates
- copy(INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
swaps a vector with another vector.
- copy(long, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
copy a vector to another vector.
- copy(INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- copy(long, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- copy(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
copy a vector to another vector.
- copy(long, DataBuffer, int, int, DataBuffer, int, int) - Method in interface org.nd4j.linalg.api.blas.Level1
-
copy a vector to another vector.
- copy() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Create a copy of the DataSet
- copy() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Clone the dataset
- copy() - Method in class org.nd4j.linalg.dataset.DataSet
-
Clone the dataset
- copy() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
Clone the dataset
- copy(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- copy(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Copy a to b
- copy(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- copy(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Compute y <- x (copy a matrix)
- copy(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast
-
Broadcast copy op.
- copy(INDArray, INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Copy a to b
- copy(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Copy a to b
- CopyOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic
-
Copy operation
- CopyOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.CopyOp
-
- CopyOp(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.CopyOp
-
- CopyOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.CopyOp
-
- CopyOp(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.CopyOp
-
- CopyOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.CopyOp
-
- CopyOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.CopyOp
-
- CopyOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.CopyOp
-
- CopyOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.CopyOp
-
- cOrFortranOrder(long[], long[], long) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Infer order from
- cOrFortranOrder(int[], int[], int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Deprecated.
- correlationR2(int) - Method in class org.nd4j.evaluation.regression.RegressionEvaluation
-
- cos(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- cos(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Elementwise cosine operation: out = cos(x)
- cos(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Elementwise cosine operation: out = cos(x)
- Cos - Class in org.nd4j.linalg.api.ops.impl.transforms.strict
-
Cosine elementwise function
- Cos(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Cos
-
- Cos() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Cos
-
- Cos(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Cos
-
- Cos(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Cos
-
- cos(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- cos(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- cosh(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- cosh(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Elementwise cosh (hyperbolic cosine) operation: out = cosh(x)
- cosh(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Elementwise cosh (hyperbolic cosine) operation: out = cosh(x)
- Cosh - Class in org.nd4j.linalg.api.ops.impl.transforms.strict
-
Cosine Hyperbolic elementwise function
- Cosh(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Cosh
-
- Cosh() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Cosh
-
- Cosh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Cosh
-
- Cosh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Cosh
-
- cosh(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- cosh(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- cosineDistance(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- cosineDistance(String, SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss
-
- cosineDistance(String, SDVariable, SDVariable, SDVariable, LossReduce, int) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss
-
Cosine distance loss: 1 - cosineSimilarity(x,y)
or 1 - sum_i label[i] * prediction[i]
, which is
equivalent to cosine distance when both the predictions and labels are normalized.
Note: This loss function assumes that both the predictions and labels are normalized to have unit l2 norm.
- cosineDistance(String, SDVariable, SDVariable, LossReduce, int) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss
-
- cosineDistance(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
- cosineDistance(String, SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Cosine distance reduction operation.
- CosineDistance - Class in org.nd4j.linalg.api.ops.impl.reduce3
-
Cosine distance
Note that you need to initialize
a scaling constant equal to the norm2 of the
vector
- CosineDistance(SameDiff, SDVariable, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineDistance
-
- CosineDistance() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineDistance
-
- CosineDistance(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineDistance
-
- CosineDistance(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineDistance
-
- CosineDistance(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineDistance
-
- CosineDistance(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineDistance
-
- CosineDistance(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineDistance
-
- CosineDistance(INDArray, INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineDistance
-
- cosineDistance(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- CosineDistanceLoss - Class in org.nd4j.linalg.api.ops.impl.loss
-
Cosine distance loss
- CosineDistanceLoss(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.CosineDistanceLoss
-
- CosineDistanceLoss() - Constructor for class org.nd4j.linalg.api.ops.impl.loss.CosineDistanceLoss
-
- CosineDistanceLossBp - Class in org.nd4j.linalg.api.ops.impl.loss.bp
-
Cosine distance loss
- CosineDistanceLossBp(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.CosineDistanceLossBp
-
- CosineDistanceLossBp() - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.CosineDistanceLossBp
-
- cosineSim(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Cosine similarity
- cosineSimilarity(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- cosineSimilarity(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
- cosineSimilarity(String, SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Cosine similarity pairwise reduction operation.
- CosineSimilarity - Class in org.nd4j.linalg.api.ops.impl.reduce3
-
Cosine similarity
Note that you need to initialize
a scaling constant equal to the norm2 of the
vector
- CosineSimilarity(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineSimilarity
-
- CosineSimilarity(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineSimilarity
-
- CosineSimilarity() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineSimilarity
-
- CosineSimilarity(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineSimilarity
-
- CosineSimilarity(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineSimilarity
-
- CosineSimilarity(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineSimilarity
-
- CosineSimilarity(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineSimilarity
-
- CosineSimilarity(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineSimilarity
-
- CosineSimilarity(INDArray, INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineSimilarity
-
- COST_GRAPH_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunGraphResponse
-
- COST_GRAPH_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RunMetadata
-
- costArray - Variable in class org.nd4j.evaluation.classification.Evaluation
-
- CostGraphDef - Class in org.tensorflow.framework
-
Protobuf type tensorflow.CostGraphDef
- CostGraphDef.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.CostGraphDef
- CostGraphDef.Node - Class in org.tensorflow.framework
-
Protobuf type tensorflow.CostGraphDef.Node
- CostGraphDef.Node.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.CostGraphDef.Node
- CostGraphDef.Node.InputInfo - Class in org.tensorflow.framework
-
Inputs of this node.
- CostGraphDef.Node.InputInfo.Builder - Class in org.tensorflow.framework
-
Inputs of this node.
- CostGraphDef.Node.InputInfoOrBuilder - Interface in org.tensorflow.framework
-
- CostGraphDef.Node.OutputInfo - Class in org.tensorflow.framework
-
Outputs of this node.
- CostGraphDef.Node.OutputInfo.Builder - Class in org.tensorflow.framework
-
Outputs of this node.
- CostGraphDef.Node.OutputInfoOrBuilder - Interface in org.tensorflow.framework
-
- CostGraphDef.NodeOrBuilder - Interface in org.tensorflow.framework
-
- CostGraphDefOrBuilder - Interface in org.tensorflow.framework
-
- CostGraphProtos - Class in org.tensorflow.framework
-
- counter - Variable in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
- counter - Variable in class org.nd4j.linalg.profiler.data.primitives.StackNode
-
- countinf() - Method in class org.nd4j.graph.UISummaryStatistics
-
- countnan() - Method in class org.nd4j.graph.UISummaryStatistics
-
- countnegative() - Method in class org.nd4j.graph.UISummaryStatistics
-
- countNNZ() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Count the number of value that are included in the ndarray (view) according to the sparse offsets and the shape
- countNonZero(SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- countNonZero(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Count non zero array reduction operation, optionally along specified dimensions: out = count(x != 0)
- countNonZero(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Count non zero array reduction operation, optionally along specified dimensions: out = count(x != 0)
- CountNonZero - Class in org.nd4j.linalg.api.ops.impl.reduce.longer
-
Count the number of non-zero elements
- CountNonZero(SameDiff, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountNonZero
-
- CountNonZero(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountNonZero
-
- countpositive() - Method in class org.nd4j.graph.UISummaryStatistics
-
- CountsForThreshold(double) - Constructor for class org.nd4j.evaluation.classification.ROC.CountsForThreshold
-
- countZero(SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- countZero(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Count zero array reduction operation, optionally along specified dimensions: out = count(x == 0)
- countZero(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Count zero array reduction operation, optionally along specified dimensions: out = count(x == 0)
- countzero() - Method in class org.nd4j.graph.UISummaryStatistics
-
- CountZero - Class in org.nd4j.linalg.api.ops.impl.reduce.longer
-
Count the number of zero elements
- CountZero(SameDiff, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountZero
-
- CountZero(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountZero
-
- covarianceMatrix(INDArray) - Static method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
Returns the covariance matrix of a data set of many records, each with N features.
- CPU_CORES_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- CRC32C_FIELD_NUMBER - Static variable in class org.tensorflow.util.BundleEntryProto
-
- create(SameDiff) - Static method in class org.nd4j.autodiff.samediff.SameDiff
-
Create a new SameDiff instance from an existing instance.
- create() - Static method in class org.nd4j.autodiff.samediff.SameDiff
-
Create a new (empty) SameDiff instance without any functions or variables
- create(DataBuffer, int[], long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(DataBuffer, int[], int[], long, char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(DataBuffer, long[], long[], long, char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(DataBuffer, int[], int[], long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(int[], int[], long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(DataBuffer) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(int[], char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(DataBuffer, int[], int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(long) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer
-
Create with length
- create(double[]) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer
-
Create the data buffer
with respect to the given byte buffer
- create(float[]) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer
-
Create the data buffer
with respect to the given byte buffer
- create(int[]) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer
-
Create the data buffer
with respect to the given byte buffer
- create() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIteratorFactory
-
- create() - Method in interface org.nd4j.linalg.dataset.api.iterator.MultiDataSetIteratorFactory
-
- create(int[], DataType, MemoryWorkspace) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(int[], int[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(long, long, char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(double[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a row vector with the data
- create(float[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a row vector with the data
- create(long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a row vector with the specified number of columns
- create(int[], int[], long, char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(float[], int[], char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(float[], long, long, int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(float[], int[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(double[], int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create an ndrray with the specified shape
- create(float[], int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create an ndrray with the specified shape
- create(float[], long[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(double[], long[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(double[], long, long, int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(double[], int[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(List<INDArray>, int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(long, long, int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(int[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(long[], long[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(long, long, int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(long[], long[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(long[], long[], long, char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(int[], int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(long, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(long[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(float[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(float[], long[], long[], char, DataType, MemoryWorkspace) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(float[], char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(float[], int[], int[], char, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(double[], char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(double[], int[], int[], char, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(DataBuffer, int[], int[], char, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(int[], int[], int[], char, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(int[], float[]...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndarray based on the given data
- create(LongShapeDescriptor) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(LongShapeDescriptor, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(int[], double[]...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndarray based on the given data
- create(float[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a row vector with the data
- create(boolean[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(List<? extends Number>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a row vector with the data
- create(double[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a row vector with the data
- create(float[][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(float[][], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(double[][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndarray based on the given data layout
- create(long[][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(boolean[][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(boolean[][], long[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(double[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(float[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(int[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(double[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(float[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(int[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(double[][], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a row vector with the specified number of columns
- create(float[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a row vector with the data
- create(double[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a row vector with the data
- create(int, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a row vector with the specified number of columns
- create(int[], long[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(long[], long[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(double[], long[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(float[], long[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(short[], long[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(byte[], long[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(boolean[], long[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(int[], long[], long[], char, DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(long[], long[], long[], char, DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(double[], long[], long[], char, DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(float[], long[], long[], char, DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(short[], long[], long[], char, DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(byte[], long[], long[], char, DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(boolean[], long[], long[], char, DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(float[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndrray with the specified shape
- create(float[], long[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(double[], long[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(double[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndrray with the specified shape
- create(double[], int[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(double[], long[], long[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(float[], int, int, int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(double[], int, int, int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(float[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(float[], long[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(double[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(double[], long[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(float[], int[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(List<INDArray>, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(List<INDArray>, long[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(int, int, int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int, int, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(long[], long[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(int, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(long...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(DataType, long...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(float[], int[], int[], char, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(float[], int[], char, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(double[], int[], char, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(DataBuffer, int[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(DataBuffer, long[], long[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(DataBuffer, int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(DataBuffer, int[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(DataBuffer, long[], long[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(DataBuffer, long[], long[], long, long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(DataBuffer, long[], long[], long, char, DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(DataBuffer, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(DataBuffer, long[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(DataBuffer) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(float[], int, int, int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(double[], int[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(double[], int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndrray with the specified shape
- create(float[], int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndrray with the specified shape
- create(float[], long[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(double[], long[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(double[], int, int, int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(float[], int[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(List<INDArray>, int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int, int, int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(long[], long[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int, int, int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int[], int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(long[], long[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(long, long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(long[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(DataType, long[], long[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(DataType, long[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(double[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(String...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(Collection<String>, long...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(Collection<String>, long[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(int[], DataBuffer) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndarray with the given shape
and data
- create(double[][]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndarray with the given data layout
- create(double[][], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a matrix from the given
data and ordering
- create(double[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a row vector with the data
- create(float[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a row vector with the data
- create(DataBuffer) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a row vector with the data
- create(long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a row vector with the specified number of columns
- create(DataBuffer, long, long, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(float[], long, long, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(float[], long[], long[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], long[], long[], char, DataType) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(double[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndrray with the specified shape
- create(double[], long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndrray with the specified shape
- create(double[], long, long, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(double[], int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(double[], long[], long[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(double[], long[], long[], DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], long[], long[], DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(long[], long[], long[], DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(int[], long[], long[], DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(short[], long[], long[], DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(byte[], long[], long[], DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(boolean[], long[], long[], DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(double[], long[], long[], char, DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], long[], long[], char, DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(long[], long[], long[], char, DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(int[], long[], long[], char, DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(short[], long[], long[], char, DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(byte[], long[], long[], char, DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(boolean[], long[], long[], char, DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(DataBuffer, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndrray with the specified shape
- create(DataBuffer, long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(DataBuffer, int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(DataBuffer, long[], long[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(List<INDArray>, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(List<INDArray>, long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(long, long, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(long, long, long[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(long[], long[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(long, long, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(int[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(long[], long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(long, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(float[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[][]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[][], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], int[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(DataBuffer, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(long[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(DataType, long[], char, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(DataType, long[], long[], char, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(DataBuffer, int[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(DataBuffer, long[], long[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(DataBuffer, long[], long[], long, long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(DataBuffer, long[], long[], long, char, DataType) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], int[], long, Character) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], long, long, int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(double[], int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(List<INDArray>, int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(List<INDArray>, long[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(double[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(double[], int[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(int[], int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(int[], int[], int[], char, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(long, long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(int[], DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], int[], int[], char, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], long[], long[], char, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(DataBuffer, int[], int[], char, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(double[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(double[], int[], int[], char, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(int[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(long[], long[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], long[], long[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(double[], long[], long[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], long[], long, Character) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(double[], long[], long, Character) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], long[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(double[], long[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(Collection<String>, long[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(T, DataType, long...) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr
-
- create(T, DataType, long[], char) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr
-
- create(T, DataType, long...) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr
-
Create an array in the specified array type's workspace (or detached if none is specified).
- create(T, DataType, long[], char) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr
-
Create an array in the specified array type's workspace (or detached if none is specified).
- create(long[], INDArray) - Method in class org.nd4j.weightinit.BaseWeightInitScheme
-
- create(DataType, long...) - Method in class org.nd4j.weightinit.BaseWeightInitScheme
-
- create(long[], INDArray) - Method in class org.nd4j.weightinit.impl.NDArraySupplierInitScheme
-
- create(DataType, long[]) - Method in class org.nd4j.weightinit.impl.NDArraySupplierInitScheme
-
- create(long[], INDArray) - Method in interface org.nd4j.weightinit.WeightInitScheme
-
Create the array
- create(DataType, long...) - Method in interface org.nd4j.weightinit.WeightInitScheme
-
Create the array
- CREATE_WORKER_SESSION_CALLED_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.DeregisterGraphRequest
-
- CREATE_WORKER_SESSION_CALLED_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RegisterGraphRequest
-
- CREATE_WORKER_SESSION_CALLED_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunGraphRequest
-
- createArrayFromShapeBuffer(DataBuffer, DataBuffer) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createArrayFromShapeBuffer(DataBuffer, Pair<DataBuffer, long[]>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createAVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatProperties
-
- createBinlabelsVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.UIHistogram
-
- createBinomial(int, INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory
-
- createBinomial(int, double) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory
-
- createBinomial(int, INDArray) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory
-
Create a distribution
- createBinomial(int, double) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory
-
Create a distribution
- createBlas() - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create blas
- createBuffer(DataBuffer, long, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a view of a data buffer
that leverages the underlying storage of the buffer
with a new view
- createBuffer(int[], DataType, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer equal of length prod(shape)
- createBuffer(ByteBuffer, DataType, int, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a buffer of the specified opType
and length with the given byte buffer.
- createBuffer(byte[], int, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer based on the data opType
- createBuffer(int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer equal of length prod(shape)
- createBuffer(int, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a buffer of the specified length based on the data opType
- createBuffer(Pointer, long, DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createBuffer(float[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer based on the data opType
- createBuffer(double[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer based on the data opType
- createBuffer(int[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer equal of length prod(shape)
- createBuffer(long[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createBuffer(ByteBuffer, DataType, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a buffer of the specified opType
and length with the given byte buffer.
- createBuffer(byte[], int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer based on the data opType
- createBuffer(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer equal of length prod(shape)
- createBuffer(long[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer equal of length prod(shape)
- createBuffer(long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a buffer of the specified length based on the data opType
- createBuffer(Pointer, DataType, long, Indexer) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a data buffer
based on a pointer
with the given opType and length
- createBuffer(long, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createBuffer(DataType, long, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createBuffer(DataType, long, boolean, MemoryWorkspace) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createBuffer(float[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer based on the data opType
- createBuffer(double[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer based on the data opType
- createBufferDetached(int[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createBufferDetached(long[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createBufferDetached(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer equal of length prod(shape).
- createBufferDetached(long[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer equal of length prod(shape).
- createBufferDetached(float[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createBufferDetached(double[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createBufferVector(FlatBufferBuilder, byte[]) - Static method in class org.nd4j.graph.FlatArray
-
- createBVector(FlatBufferBuilder, boolean[]) - Static method in class org.nd4j.graph.FlatProperties
-
- createConstant(double) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory
-
- createConstant(double) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory
-
Creates constant distribution
- createControlDepsForOpVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.UIVariable
-
- createControlDepsForVarVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.UIVariable
-
- createControlDepsVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.UIOp
-
- createControlDepsVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.UIVariable
-
- createCoveringShape(int[]) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Creates an index covering the given shape
(for each dimension 0,shape[i])
- createCoveringShape(long[]) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
- createDimensionsVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatNode
-
- createDVector(FlatBufferBuilder, double[]) - Static method in class org.nd4j.graph.FlatProperties
-
- createExtraBoolsVector(FlatBufferBuilder, boolean[]) - Static method in class org.nd4j.graph.FlatNode
-
- createExtraIntegerVector(FlatBufferBuilder, long[]) - Static method in class org.nd4j.graph.FlatNode
-
- createExtraParamsVector(FlatBufferBuilder, double[]) - Static method in class org.nd4j.graph.FlatNode
-
- createFlatArray(FlatBufferBuilder, int, int, byte, byte) - Static method in class org.nd4j.graph.FlatArray
-
- createFlatArrayList(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatArrayList
-
- createFlatConfiguration(FlatBufferBuilder, long, byte, byte, byte, boolean, long, long, byte) - Static method in class org.nd4j.graph.FlatConfiguration
-
- createFlatDropRequest(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatDropRequest
-
- createFlatGraph(FlatBufferBuilder, long, int, int, int, int, int, int) - Static method in class org.nd4j.graph.FlatGraph
-
- createFlatInferenceRequest(FlatBufferBuilder, long, int, int) - Static method in class org.nd4j.graph.FlatInferenceRequest
-
- createFlatNode(FlatBufferBuilder, int, int, byte, long, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int) - Static method in class org.nd4j.graph.FlatNode
-
- createFlatProperties(FlatBufferBuilder, int, int, int, int, int, int, int, int) - Static method in class org.nd4j.graph.FlatProperties
-
- createFlatResponse(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatResponse
-
- createFlatResult(FlatBufferBuilder, long, int, int, long, long) - Static method in class org.nd4j.graph.FlatResult
-
- createFlatTiming(FlatBufferBuilder, int, int, int) - Static method in class org.nd4j.graph.FlatTiming
-
- createFlatVariable(FlatBufferBuilder, int, int, byte, int, int, int, byte) - Static method in class org.nd4j.graph.FlatVariable
-
- createFrameIteration(FlatBufferBuilder, int, int) - Static method in class org.nd4j.graph.FrameIteration
-
- createFromArray(double...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(float...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(short...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(byte...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(long...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(boolean...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(double[][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(float[][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(long[][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(int[][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(short[][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(byte[][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(boolean[][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(double[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(float[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(long[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(int[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(short[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(byte[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(boolean[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(double[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(float[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(long[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(int[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(short[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(byte[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(boolean[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(Double[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(Float[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(Integer[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(Short[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(Byte[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(Long[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(Boolean[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(Double[][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(Float[][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(Integer[][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(Short[][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(Byte[][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(Long[][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(Boolean[][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(Double[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(Float[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(Integer[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(Short[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(Byte[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(Long[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(Boolean[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(Double[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(Float[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(Integer[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(Short[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(Byte[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(Long[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromArray(Boolean[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates INDArray from provided jvm array
- createFromFlatArray(FlatArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createFromNpyFile(File) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create from a given Numpy .npy file.
- createFromNpyFile(File) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create from a given numpy file.
- createFromNpyHeaderPointer(Pointer) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create from an in memory numpy header.
- createFromNpyPointer(Pointer) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create from an in memory numpy pointer
- createFromNpyPointer(Pointer) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create from an in memory numpy pointer
- createFromNpzFile(File) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createFromNpzFile(File) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a Map from given npz file.
- createFromStartAndEnd(INDArray, INDArray) - Static method in class org.nd4j.linalg.indexing.Indices
-
Create an n dimensional index
based on the given interval indices.
- createFromStartAndEnd(INDArray, INDArray, boolean) - Static method in class org.nd4j.linalg.indexing.Indices
-
Create indices representing intervals
along each dimension
- createGpuMemoryVector(FlatBufferBuilder, long[]) - Static method in class org.nd4j.graph.UIHardwareState
-
- createGradFunction() - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- createIndiceBuffer(long[][], long[]) - Static method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Create a DataBuffer for indices of given arrays of indices.
- createIndiceBuffer(int[][], long[]) - Static method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Create a DataBuffer for indices of given arrays of indices.
- createInputMatrix(int) - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
Creates a feature vector
- createInputPairedVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatNode
-
- createInputsForOpVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.UIVariable
-
- createInputsPairVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.UIGraphStructure
-
- createInputsVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.UIGraphStructure
-
- createInputsVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.UIOp
-
- createInputVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatNode
-
- createIntPair(FlatBufferBuilder, int, int) - Static method in class org.nd4j.graph.IntPair
-
- createIntTriple(FlatBufferBuilder, int, int, int) - Static method in class org.nd4j.graph.IntTriple
-
- createIVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatProperties
-
- createLapack() - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create lapack
- createLevel1() - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create level 1
- createLevel2() - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create level 2
- createLevel3() - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create level 3
- createListVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatArrayList
-
- createLogNormal(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory
-
- createLogNormal(double, double) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory
-
Creates a log-normal distribution
- createLongPair(FlatBufferBuilder, long, long) - Static method in class org.nd4j.graph.LongPair
-
- createLongTriple(FlatBufferBuilder, long, long, long) - Static method in class org.nd4j.graph.LongTriple
-
- createLossVariablesVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatGraph
-
- createLVector(FlatBufferBuilder, long[]) - Static method in class org.nd4j.graph.FlatProperties
-
- createNodesVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatGraph
-
- createNormal(INDArray, double) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory
-
- createNormal(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory
-
- createNormal(INDArray, double) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory
-
Create a normal distribution
with the given mean and std
- createNormal(double, double) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory
-
Create a normal distribution
with the given mean and std
- createNpyFromByteArray(byte[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an
INDArray
from the given numpy input.
The numpy input follows the format:
https://docs.scipy.org/doc/numpy-1.14.0/neps/npy-format.html
- createNpyFromInputStream(InputStream) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a numpy array based on the passed in input stream
- createOpsVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.UIGraphStructure
-
- createOrthogonal(double) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory
-
- createOrthogonal(double) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory
-
Creates orthogonal distribution
- createOutputMatrix(int) - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
- createOutputNamesVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatNode
-
- createOutputsVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatGraph
-
- createOutputsVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.UIGraphStructure
-
- createOutputsVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.UIOp
-
- createOutputTypesVector(FlatBufferBuilder, byte[]) - Static method in class org.nd4j.graph.FlatNode
-
- createOutputVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatNode
-
- createOutputVector(int) - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
Creates an output label matrix
- createPlaceholdersVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatGraph
-
- createPropertiesVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatNode
-
- createScalar(double) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- createScalarForIndex(long, boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- CreateSessionRequest - Class in org.tensorflow.distruntime
-
Protobuf type tensorflow.CreateSessionRequest
- CreateSessionRequest.Builder - Class in org.tensorflow.distruntime
-
Protobuf type tensorflow.CreateSessionRequest
- CreateSessionRequestOrBuilder - Interface in org.tensorflow.distruntime
-
- CreateSessionResponse - Class in org.tensorflow.distruntime
-
Protobuf type tensorflow.CreateSessionResponse
- CreateSessionResponse.Builder - Class in org.tensorflow.distruntime
-
Protobuf type tensorflow.CreateSessionResponse
- CreateSessionResponseOrBuilder - Interface in org.tensorflow.distruntime
-
- createShapeInformation(long[], DataType) - Method in class org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider
-
This method creates shapeInformation buffer, based on shape being passed in
- createShapeInformation(long[], char, DataType) - Method in class org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider
-
This method creates shapeInformation buffer, based on shape & order being passed in
- createShapeInformation(long[], long[], long, char, DataType) - Method in class org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider
-
- createShapeInformation(long[], long[], long, char, long) - Method in class org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider
-
- createShapeInformation(long[], DataType) - Method in interface org.nd4j.linalg.api.ndarray.ShapeInfoProvider
-
This method creates long shapeInformation buffer, based on shape being passed in
- createShapeInformation(long[], char, DataType) - Method in interface org.nd4j.linalg.api.ndarray.ShapeInfoProvider
-
This method creates long shapeInformation buffer, based on shape & order being passed in
- createShapeInformation(long[], long[], long, char, DataType) - Method in interface org.nd4j.linalg.api.ndarray.ShapeInfoProvider
-
This method creates long shapeInformation buffer, based on detailed shape info being passed in
- createShapeInformation(long[], long[], long, char, long) - Method in interface org.nd4j.linalg.api.ndarray.ShapeInfoProvider
-
- createShapeInformation(int[], int[], long, int, char) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Creates the shape information buffer
given the shape,stride
- createShapeInformation(long[], long[], long, char, DataType) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- createShapeInformation(long[], long[], long, char, long) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- createShapeVector(FlatBufferBuilder, long[]) - Static method in class org.nd4j.graph.FlatArray
-
- createShapeVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatProperties
-
- createShapeVector(FlatBufferBuilder, long[]) - Static method in class org.nd4j.graph.FlatVariable
-
- createShapeVector(FlatBufferBuilder, long[]) - Static method in class org.nd4j.graph.UIVariable
-
- createSparseCOO(double[], int[][], long[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createSparseCOO(float[], int[][], long[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createSparseCOO(double[], long[][], long[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createSparseCOO(float[], long[][], long[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createSparseCOO(DataBuffer, DataBuffer, long[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createSparseCOO(DataBuffer, DataBuffer, DataBuffer, long[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createSparseCOO(DataBuffer, DataBuffer, long[], int[], long[], int[], int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createSparseCOO(double[], long[][], long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createSparseCOO(float[], long[][], long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createSparseCOO(double[], int[][], long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createSparseCOO(float[], int[][], long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createSparseCOO(DataBuffer, DataBuffer, long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createSparseCOO(DataBuffer, DataBuffer, DataBuffer, long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createSparseCOO(DataBuffer, DataBuffer, long[], int[], int[], int, long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createSparseCSR(double[], int[], int[], int[], long[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createSparseCSR(float[], int[], int[], int[], long[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createSparseCSR(DataBuffer, int[], int[], int[], long[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createSparseCSR(double[], int[], int[], int[], long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createSparseCSR(float[], int[], int[], int[], long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createSparseCSR(DataBuffer, int[], int[], int[], long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createSparseInformation(int[], long[], int[], int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseInfoProvider
-
- createSparseInformation(int[], long[], int[], int) - Method in interface org.nd4j.linalg.api.ndarray.SparseInfoProvider
-
- createSparseInformation(int[], long[], int[], int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- createSparseInformationBuffer(int) - Static method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Create a SparseInfo databuffer given rank if of the sparse matrix.
- createStashIfNotExists(T) - Method in class org.nd4j.linalg.memory.stash.BasicStashManager
-
- createStashIfNotExists(T) - Method in interface org.nd4j.linalg.memory.stash.StashManager
-
- createSubset(int) - Method in class org.nd4j.linalg.learning.legacy.AdaGrad
-
- createSVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatProperties
-
- createTimingVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatResult
-
- createTruncatedNormal(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory
-
- createTruncatedNormal(double, double) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory
-
Creates truncated normal distribution
- createTypedBuffer(double[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates
- createTypedBuffer(float[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createTypedBuffer(int[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createTypedBuffer(long[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createTypedBuffer(short[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createTypedBuffer(byte[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createTypedBuffer(boolean[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createTypedBuffer(double[], DataType, MemoryWorkspace) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createTypedBuffer(float[], DataType, MemoryWorkspace) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createTypedBuffer(int[], DataType, MemoryWorkspace) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createTypedBuffer(long[], DataType, MemoryWorkspace) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createTypedBuffer(short[], DataType, MemoryWorkspace) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createTypedBuffer(byte[], DataType, MemoryWorkspace) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createTypedBuffer(boolean[], DataType, MemoryWorkspace) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createTypedBufferDetached(double[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createTypedBufferDetached(float[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createTypedBufferDetached(int[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createTypedBufferDetached(long[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createTypedBufferDetached(short[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createTypedBufferDetached(byte[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createTypedBufferDetached(boolean[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createUIAddName(FlatBufferBuilder, int, int) - Static method in class org.nd4j.graph.UIAddName
-
- createUIEvent(FlatBufferBuilder, byte, int, long, int, int, short, int, int) - Static method in class org.nd4j.graph.UIEvent
-
- createUIGraphStructure(FlatBufferBuilder, int, int, int, int, int) - Static method in class org.nd4j.graph.UIGraphStructure
-
- createUIHardwareState(FlatBufferBuilder, int, long) - Static method in class org.nd4j.graph.UIHardwareState
-
- createUIHistogram(FlatBufferBuilder, byte, long, int, int, int) - Static method in class org.nd4j.graph.UIHistogram
-
- createUIOp(FlatBufferBuilder, int, int, int, int, int, int) - Static method in class org.nd4j.graph.UIOp
-
- createUIStaticInfoRecord(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.UIStaticInfoRecord
-
- createUISummaryStatistics(FlatBufferBuilder, long, int, int, double, double, long, long, long, long, long) - Static method in class org.nd4j.graph.UISummaryStatistics
-
- createUISystemInfo(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UISystemInfo
-
- createUIVariable(FlatBufferBuilder, int, int, byte, byte, int, int, int, int, int, int, int, int, int) - Static method in class org.nd4j.graph.UIVariable
-
- createUniform(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory
-
- createUniform(double, double) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory
-
Create a uniform distribution with the
given min and max
- createUninitialized(long, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method returns uninitialized 2D array of rows x columns
PLEASE NOTE: memory of underlying array will be NOT initialized, and won't be set to 0.0
- createUninitialized(int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an *uninitialized* ndarray with the specified shape and ordering.
NOTE: The underlying memory (DataBuffer) will not be initialized.
- createUninitialized(DataType, long...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createUninitialized(DataType, long[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createUninitialized(long[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createUninitialized(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an *uninitialized* ndarray with the specified shape and default ordering.
NOTE: The underlying memory (DataBuffer) will not be initialized.
- createUninitialized(long[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createUninitialized(int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates an *uninitialized* ndarray of specified length and default ordering.
- createUninitialized(long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createUninitialized(int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createUninitialized(long[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createUninitialized(DataType, long[], char, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createUninitialized(T, DataType, long...) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr
-
- createUninitialized(T, DataType, long[], char) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr
-
- createUninitialized(T, DataType, long...) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr
-
Create an uninitialized array in the specified array type's workspace (or detached if none is specified).
- createUninitialized(T, DataType, long[], char) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr
-
Create an uninitialized array in the specified array type's workspace (or detached if none is specified).
- createUninitializedDetached(int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Cretes uninitialized INDArray detached from any (if any) workspace
- createUninitializedDetached(long[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createUninitializedDetached(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Cretes uninitialized INDArray detached from any (if any) workspace
- createUninitializedDetached(long[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Cretes uninitialized INDArray detached from any (if any) workspace
- createUninitializedDetached(int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Cretes uninitialized INDArray detached from any (if any) workspace
- createUninitializedDetached(int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Cretes uninitialized INDArray detached from any (if any) workspace
- createUninitializedDetached(long[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createValueBuffer(float[]) - Static method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Create a DataBuffer for values of given array of values.
- createValueBuffer(double[]) - Static method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Create a DataBuffer for values of given array of values.
- createVariablesVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatGraph
-
- createVariablesVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatInferenceRequest
-
- createVariablesVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatResult
-
- createVariablesVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.UIGraphStructure
-
- CreateWorkerSessionRequest - Class in org.tensorflow.distruntime
-
Protobuf type tensorflow.CreateWorkerSessionRequest
- CreateWorkerSessionRequest.Builder - Class in org.tensorflow.distruntime
-
Protobuf type tensorflow.CreateWorkerSessionRequest
- CreateWorkerSessionRequestOrBuilder - Interface in org.tensorflow.distruntime
-
- CreateWorkerSessionResponse - Class in org.tensorflow.distruntime
-
Protobuf type tensorflow.CreateWorkerSessionResponse
- CreateWorkerSessionResponse.Builder - Class in org.tensorflow.distruntime
-
Protobuf type tensorflow.CreateWorkerSessionResponse
- CreateWorkerSessionResponseOrBuilder - Interface in org.tensorflow.distruntime
-
- CRITICAL_SECTION_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CriticalSectionDef
-
- CriticalSectionDef - Class in org.tensorflow.framework
-
Protocol buffer representing a CriticalSection.
- CriticalSectionDef.Builder - Class in org.tensorflow.framework
-
Protocol buffer representing a CriticalSection.
- CriticalSectionDefOrBuilder - Interface in org.tensorflow.framework
-
- CriticalSectionExecutionDef - Class in org.tensorflow.framework
-
Protocol buffer representing a CriticalSection execution.
- CriticalSectionExecutionDef.Builder - Class in org.tensorflow.framework
-
Protocol buffer representing a CriticalSection execution.
- CriticalSectionExecutionDefOrBuilder - Interface in org.tensorflow.framework
-
- CriticalSectionProtos - Class in org.tensorflow.framework
-
- cross(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- cross(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
- cross(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Returns the pair-wise cross product of equal size arrays a and b: a x b = ||a||x||b|| sin(theta).
- Cross - Class in org.nd4j.linalg.api.ops.impl.shape
-
Pairwise cross-product of two tensors of the same shape.
- Cross() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Cross
-
- Cross(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Cross
-
- Cross(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Cross
-
- cross(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- cube(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- cube(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Element-wise cube function: out = x^3
- cube(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Element-wise cube function: out = x^3
- Cube - Class in org.nd4j.linalg.api.ops.impl.transforms.same
-
Cube (x^3) elementwise function
- Cube(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Cube
-
- Cube() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Cube
-
- Cube(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Cube
-
- Cube(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Cube
-
- cubeDerivative(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- CubeDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient
-
Cube derivative, e.g.
- CubeDerivative(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeDerivative
-
- CubeDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeDerivative
-
- CubeDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeDerivative
-
- CubeDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeDerivative
-
- CUDA_DEVICE_INFORMATION_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- CUDA_DEVICE_MAJOR_VERSION_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- CUDA_DEVICE_MINOR_VERSION_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- CUDA_DEVICE_NAME_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- CUDA_FREE_MEMORY_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- CUDA_NUM_GPUS_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- CUDA_TOTAL_MEMORY_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- cumprod(SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- cumprod(SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- cumprod(String, SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Cumulative product operation.
For input: [ a, b, c], output is:
exclusize=false, reverse=false: [a, a*b, a*b*c]
exclusive=true, reverse=false, [0, a, a*b]
exclusive=false, reverse=true: [a*b*c, b*c, c]
exclusive=true, reverse=true: [b*c, c, 0]
- CumProd - Class in org.nd4j.linalg.api.ops.impl.transforms.custom
-
- CumProd() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CumProd
-
- CumProd(SameDiff, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CumProd
-
- CumProd(SameDiff, SDVariable, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CumProd
-
- CumProd(INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CumProd
-
- cumprodBp(SDVariable, SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- CumProdBp - Class in org.nd4j.linalg.api.ops.impl.reduce.bp
-
Backprop op for cumulative product operation
- CumProdBp(SameDiff, SDVariable, SDVariable, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.CumProdBp
-
- CumProdBp(INDArray, INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.CumProdBp
-
- CumProdBp() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.CumProdBp
-
- cumsum(SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- cumsum(SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- cumsum(String, SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Cumulative sum operation.
For input: [ a, b, c], output is:
exclusize=false, reverse=false: [a, a+b, a+b+c]
exclusive=true, reverse=false, [0, a, a+b]
exclusive=false, reverse=true: [a+b+c, b+c, c]
exclusive=true, reverse=true: [b+c, c, 0]
- cumsum(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Cumulative sum along a dimension (in place)
- cumsum(int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- cumsum(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the cumulative sum along a dimension.
- CumSum - Class in org.nd4j.linalg.api.ops.impl.transforms.custom
-
Cumulative sum operation, optionally along dimension.
- CumSum() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CumSum
-
- CumSum(SameDiff, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CumSum
-
- CumSum(SameDiff, SDVariable, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CumSum
-
- CumSum(INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CumSum
-
- cumsum(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- cumsum(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- cumsumBp(SDVariable, SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- CumSumBp - Class in org.nd4j.linalg.api.ops.impl.reduce.bp
-
Backprop op for cumulative sum operation
- CumSumBp(SameDiff, SDVariable, SDVariable, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.CumSumBp
-
- CumSumBp(INDArray, INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.CumSumBp
-
- CumSumBp() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.CumSumBp
-
- cumsumi(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Cumulative sum along a dimension
- cumsumi(int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- cumsumi(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the cumulative sum along a dimension.
- cumulativeProbability(double) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
For a random variable X
whose values are distributed according
to this distribution, this method returns P(X <= x)
.
- cumulativeProbability(double, double) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
- cumulativeProbability(int) - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
- cumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
- cumulativeProbability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
- cumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
-
For a random variable X
whose values are distributed according
to this distribution, this method returns P(X <= x)
.
- cumulativeProbability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
-
- cumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
-
For a random variable X
whose values are distributed according
to this distribution, this method returns P(X <= x)
.
- cumulativeProbability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
-
- cumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
For a random variable X
whose values are distributed according
to this distribution, this method returns P(X <= x)
.
- cumulativeProbability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
- cumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
-
For a random variable X
whose values are distributed according
to this distribution, this method returns P(X <= x)
.
- cumulativeProbability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
-
- cumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
-
For a random variable X
whose values are distributed according
to this distribution, this method returns P(X <= x)
.
- cumulativeProbability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
-
- cumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
For a random variable X
whose values are distributed according
to this distribution, this method returns P(X <= x)
.
- cumulativeProbability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
- curr - Variable in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
- CURRENT_GRAPH_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.ExtendSessionRequest
-
- CURRENT_WORK_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ReaderBaseState
-
- currentMomentum(int, int) - Method in class org.nd4j.linalg.learning.config.Nesterovs
-
- currentSize - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- cursor - Variable in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
- cursor() - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
- cursor() - Method in interface org.nd4j.linalg.dataset.api.iterator.fetcher.DataSetFetcher
-
Direct access to a number represenative of iterating through a dataset
- CUSTOM - Static variable in class org.nd4j.graph.OpType
-
- CUSTOM - Static variable in class org.nd4j.graph.UIHistogramType
-
- CUSTOM_OPTIMIZERS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RewriterConfig
-
- CustomOp - Interface in org.nd4j.linalg.api.ops
-
This interface describe "custom operations.
- customOpClassForHashAndName(long, String) - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder
-
- CustomOpDescriptor - Class in org.nd4j.linalg.api.ops
-
This class is simple POJO that contains basic information about CustomOp
- CustomOpDescriptor() - Constructor for class org.nd4j.linalg.api.ops.CustomOpDescriptor
-
- CustomSerializerStrategy<T extends Normalizer> - Class in org.nd4j.linalg.dataset.api.preprocessor.serializer
-
Base class for custom normalizer serializers
- CustomSerializerStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.serializer.CustomSerializerStrategy
-
- cycleAllocations - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- CycleSchedule - Class in org.nd4j.linalg.schedule
-
Cycle schedule
Based on 1cycle schedule as proposed in https://arxiv.org/abs/1803.09820
Starts at initial learning rate, then linearly increases learning rate until max learning rate is reached,
at that point the learning rate is decreased back to initial learning rate.
- CycleSchedule(ScheduleType, double, double, int, int, double) - Constructor for class org.nd4j.linalg.schedule.CycleSchedule
-
- CycleSchedule(ScheduleType, double, int) - Constructor for class org.nd4j.linalg.schedule.CycleSchedule
-
- cyclesCount - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- G_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.AttributeProto
-
- G_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.AttributeProto
-
- gather(SDVariable, int[], int) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- gather(SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- gather(SDVariable, int[], int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- gather(String, SDVariable, int[], int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Gather slices from the input variable where the indices are specified as fixed int[] values.
Output shape is same as input shape, except for axis dimension, which has size equal to indices.length.
- gather(SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- gather(String, SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Gather slices from the input variable where the indices are specified as dynamic SDVariable values.
Output shape is same as input shape, except for axis dimension, which has size equal to indices.length.
- Gather - Class in org.nd4j.linalg.api.ops.impl.shape
-
Gather op
- Gather(SameDiff, SDVariable, int[], int, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Gather
-
- Gather(SameDiff, SDVariable, SDVariable, int, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Gather
-
- gather(SDVariable, int...) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray
-
- gather(SDVariable, SDVariable) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray
-
- gatherNd(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- gatherNd(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
TODO doc string
- gatherNd(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
TODO doc string
- GatherNd - Class in org.nd4j.linalg.api.ops.impl.shape
-
GatherND op
- GatherNd(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.GatherNd
-
- GaussianDistribution - Class in org.nd4j.linalg.api.ops.random.impl
-
This Op generates normal distribution over provided mean and stddev
- GaussianDistribution(SameDiff, double, double, long[]) - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution
-
- GaussianDistribution() - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution
-
- GaussianDistribution(INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution
-
This op fills Z with random values within stddev..mean..stddev boundaries
- GaussianDistribution(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution
-
- GaussianDistribution(INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution
-
This op fills Z with random values within -1.0..0..1.0
- GaussianDistribution(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution
-
This op fills Z with random values within stddev..0..stddev
- gaussians(int) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity.Builder
-
Specifies the number of gaussian functions to attempt
fitting against the data.
- gbmv(char, char, int, int, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
gbmv computes a matrix-vector product using a general band matrix and performs one of the following matrix-vector operations:
y := alpha*a*x + beta*y for trans = 'N'or'n';
y := alpha*a'*x + beta*y for trans = 'T'or't';
y := alpha*conjg(a')*x + beta*y for trans = 'C'or'c'.
- gbmv(char, char, int, int, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
-
- gbmv(char, char, int, int, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
gbmv computes a matrix-vector product using a general band matrix and performs one of the following matrix-vector operations:
y := alpha*a*x + beta*y for trans = 'N'or'n';
y := alpha*a'*x + beta*y for trans = 'T'or't';
y := alpha*conjg(a')*x + beta*y for trans = 'C'or'c'.
- GC_DEFAULT_DEBUG_MODE - Static variable in class org.nd4j.autodiff.validation.TestCase
-
- GC_DEFAULT_EPS - Static variable in class org.nd4j.autodiff.validation.TestCase
-
- GC_DEFAULT_EXIT_FIRST_FAILURE - Static variable in class org.nd4j.autodiff.validation.TestCase
-
- GC_DEFAULT_MAX_REL_ERROR - Static variable in class org.nd4j.autodiff.validation.TestCase
-
- GC_DEFAULT_MIN_ABS_ERROR - Static variable in class org.nd4j.autodiff.validation.TestCase
-
- GC_DEFAULT_PRINT - Static variable in class org.nd4j.autodiff.validation.TestCase
-
- GC_EVENT - Static variable in class org.nd4j.graph.UIEventType
-
- geev(char, char, INDArray, INDArray, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- geev(char, char, INDArray, INDArray, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- geev(char, char, INDArray, INDArray, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- gelsd(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gelsd(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- gelsd(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Generalized Least Squares via *GELSD.
- gelu(SDVariable, boolean) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- gelu(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN
-
GELU activation function - Gaussian Error Linear Units
For more details, see
Gaussian Error Linear Units (GELUs) -
https://arxiv.org/abs/1606.08415
This method uses the sigmoid approximation
- gelu(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN
-
GELU activation function - Gaussian Error Linear Units
For more details, see
Gaussian Error Linear Units (GELUs) -
https://arxiv.org/abs/1606.08415
This method uses the sigmoid approximation
- GELU - Class in org.nd4j.linalg.api.ops.impl.transforms.strict
-
GELU activation function - Gaussian Error Linear Units
For more details, see
Gaussian Error Linear Units (GELUs) -
https://arxiv.org/abs/1606.08415
Note: This op implements both the sigmoid and tanh-based approximations; to use the sigmoid approximation (recommended)
use precise=false; otherwise, use precise = true for the slower but marginally more accurate tanh version.
- GELU(SameDiff, SDVariable, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.GELU
-
- GELU() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.GELU
-
- GELU(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.GELU
-
- GELU(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.GELU
-
- geluDerivative(SDVariable, boolean) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- GELUDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.strict
-
GELU derivative
- GELUDerivative(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.GELUDerivative
-
- GELUDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.GELUDerivative
-
- GELUDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.GELUDerivative
-
- GELUDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.GELUDerivative
-
- gemm(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
gemm performs a matrix-matrix operation
c := alpha*op(a)*op(b) + beta*c,
where c is an m-by-n matrix,
op(a) is an m-by-k matrix,
op(b) is a k-by-n matrix.
- gemm(INDArray, INDArray, INDArray, boolean, boolean, double, double) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
A convenience method for matrix-matrix operations with transposes.
- gemm(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel3
-
- gemm(INDArray, INDArray, INDArray, boolean, boolean, double, double) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel3
-
- gemm(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level3
-
gemm performs a matrix-matrix operation
c := alpha*op(a)*op(b) + beta*c,
where c is an m-by-n matrix,
op(a) is an m-by-k matrix,
op(b) is a k-by-n matrix.
- gemm(INDArray, INDArray, INDArray, boolean, boolean, double, double) - Method in interface org.nd4j.linalg.api.blas.Level3
-
A convenience method for matrix-matrix operations with transposes.
- gemm(double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gemm(float, INDArray, INDArray, float, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gemm(double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- gemm(float, INDArray, INDArray, float, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- gemm(double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- gemm(float, INDArray, INDArray, float, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- gemm(INDArray, INDArray, boolean, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
matrix multiply: implements op(a)*op(b)
where op(x) means transpose x (or not) depending on
setting of arguments transposea and transposeb.
so gemm(a,b,false,false) == a.mmul(b), gemm(a,b,true,false) == a.transpose().mmul(b) etc.
- gemm(INDArray, INDArray, INDArray, boolean, boolean, double, double) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Matrix multiply: Implements c = alpha*op(a)*op(b) + beta*c where op(X) means transpose X (or not)
depending on setting of arguments transposeA and transposeB.
Note that matrix c MUST be fortran order, have zero offset and have c.data().length == c.length().
- GemmParams - Class in org.nd4j.linalg.api.blas.params
-
Used for setting the gemm parameters
Separates blas logic from
the run time itself.
- GemmParams(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.blas.params.GemmParams
-
- GemmParams(INDArray, INDArray, INDArray, boolean, boolean) - Constructor for class org.nd4j.linalg.api.blas.params.GemmParams
-
- gemv(char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
gemv computes a matrix-vector product using a general matrix and performs one of the following matrix-vector operations:
y := alpha*a*x + beta*y for trans = 'N'or'n';
y := alpha*a'*x + beta*y for trans = 'T'or't';
y := alpha*conjg(a')*x + beta*y for trans = 'C'or'c'.
- gemv(char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
-
- gemv(char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
gemv computes a matrix-vector product using a general matrix and performs one of the following matrix-vector operations:
y := alpha*a*x + beta*y for trans = 'N'or'n';
y := alpha*a'*x + beta*y for trans = 'T'or't';
y := alpha*conjg(a')*x + beta*y for trans = 'C'or'c'.
- gemv(Number, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gemv(double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gemv(float, INDArray, INDArray, float, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gemv(Number, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- gemv(double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- gemv(float, INDArray, INDArray, float, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- gemv(Number, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
************************************************************************
BLAS Level 2
- gemv(double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- gemv(float, INDArray, INDArray, float, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- GemvParameters - Class in org.nd4j.linalg.api.blas.params
-
Gemv parameters:
The parameters for general matrix
vector operations
- GemvParameters(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.blas.params.GemvParameters
-
- generateGaussianSamples(long) - Method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
Generates a set of count random samples with the same variance and mean and eigenvector/values
as the data set used to initialize the PCA object, with same number of features N.
- generateNewVarName(String, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- generateNewVarName(String, int) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Generate a new variable name based on the uniqueness of the base name and arg index
For example, if baseName = "X" will return:
"X" if "X" does not already exist, or "X:argIndex" if argIndex > 0
"X_1" if "X" already exists, or "X_1:argIndex" if argIndex > 0
"X_2" if "X" and "X_1" already exists, or "X_2:argIndex" if argIndex > 0
And so on, until an unused name is found
- generateOutputVariableForOp(DifferentialFunction, String, boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Generate the variables based on the given input op and return the output variable names.
- generateOutputVariableForOp(DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Generate the variables based on the given input op
and return the output variable names.
- generationId - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- generator() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
-
- geqrf(INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- geqrf(INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLapack
-
- geqrf(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Lapack
-
QR decomposiiton of a matrix
Factorize a matrix A such that A = QR
The matrix A is overwritten by the Q component (i.e.
- geqrf(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- geqrf(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- geqrf(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- ger(char, double, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
performs a rank-1 update of a general m-by-n matrix a:
a := alpha*x*y' + a.
- ger(char, double, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
-
- ger(char, double, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
performs a rank-1 update of a general m-by-n matrix a:
a := alpha*x*y' + a.
- ger(Number, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- ger(double, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- ger(float, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- ger(Number, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- ger(double, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- ger(float, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- ger(Number, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- ger(double, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- ger(float, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Compute A <- alpha * x * y^T + A (general rank-1 update)
- gesv(INDArray, int[], INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gesv(INDArray, int[], INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- gesv(INDArray, int[], INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
************************************************************************
LAPACK
- gesvd(INDArray, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- gesvd(INDArray, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLapack
-
- gesvd(INDArray, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Lapack
-
SVD decomposiiton of a matrix
Factorize a matrix into its singular vectors and eigenvalues
The decomposition is such that:
A = U x S x VT
gesvd = singular value decomposition (SVD) of a general matrix (GE)
- get(String, String, int, AbstractSession.FrameIter) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession
-
Get a previously calculated output; throws an exception if the output does not exist
- get(String, String, int, AbstractSession.FrameIter, boolean) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession
-
Get a previously calculated output
- get(SDIndex...) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
Get a variable with content equal to a specified sub-array of this variable.
Can be used (for example) to get rows, columns, sub-matrices, etc.
- get(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- get(List<List<Integer>>) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- get(INDArrayIndex...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns a subset of this array based on the specified
indexes
- get(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- get(List<List<Integer>>) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- get(INDArrayIndex...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- get(INDArrayIndex...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Returns a subset of this array based on the specified
indexes
- get(INDArrayIndex...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
-
Returns a subset of this array based on the specified
indexes
- get(INDArrayIndex...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns a subset of this array based on the specified
indexes
- get(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get the elements from this ndarray based on the specified indices
- get(List<List<Integer>>) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Deprecated.
- get(T) - Method in interface org.nd4j.linalg.compression.AbstractStorage
-
Get object from the storage, by key
- get(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- get(int[]) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- get(String) - Method in interface org.nd4j.linalg.dataset.api.iterator.cache.DataSetCache
-
- get(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache
-
- get(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache
-
- get(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InMemoryDataSetCache
-
- get(int) - Method in class org.nd4j.linalg.dataset.DataSet
-
Gets a copy of example i
- get(int[]) - Method in class org.nd4j.linalg.dataset.DataSet
-
Gets a copy of example i
- get(T) - Method in class org.nd4j.linalg.memory.stash.BasicStash
-
- get(T) - Method in interface org.nd4j.linalg.memory.stash.Stash
-
- get() - Method in class org.nd4j.linalg.util.AtomicThrowable
-
This method returns current state
- get() - Method in class org.nd4j.linalg.util.DeviceLocal
-
This method returns object local to current deviceId
- get(int) - Method in class org.nd4j.linalg.util.DeviceLocal
-
This method returns object local to target device
- get(int) - Method in class org.nd4j.list.BaseNDArrayList
-
- get(int) - Method in class org.nd4j.list.FloatNDArrayList
-
- get(int) - Method in class org.nd4j.list.IntNDArrayList
-
- get(int) - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
-
- get(int) - Method in class org.nd4j.list.NDArrayList
-
- get3dPermutedWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get3dPermutedWithShape(long, long[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get3dReshapedWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get3dReshapedWithShape(long, long[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get3dSubArraysWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get3dSubArraysWithShape(long, long[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get3dTensorAlongDimensionWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get3dTensorAlongDimensionWithShape(long, long[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get4dPermutedWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get4dReshapedWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get4dSubArraysWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get4dTensorAlongDimensionWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get5dPermutedWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get5dReshapedWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get5dSubArraysWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get5dTensorAlongDimensionWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get6dPermutedWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get6dReshapedWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get6dSubArraysWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getActivation(INDArray, boolean) - Method in interface org.nd4j.linalg.activations.IActivation
-
Carry out activation function on the input array (usually known as 'preOut' or 'z')
Implementations must overwrite "in", transform in place and return "in"
Can support separate behaviour during test
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationCube
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationELU
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationGELU
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationHardSigmoid
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationHardTanH
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationIdentity
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationLReLU
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationPReLU
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationRationalTanh
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationRectifiedTanh
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationReLU
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationReLU6
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationRReLU
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationSELU
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationSigmoid
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationSoftmax
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationSoftPlus
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationSoftSign
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationSwish
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationTanH
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationThresholdedReLU
-
- getActivationFunction() - Method in enum org.nd4j.linalg.activations.Activation
-
Creates an instance of the activation function
- getActiveBranch(String) - Method in class org.nd4j.autodiff.samediff.flow.FlowPath
-
This method returns active branch of specific node (if any)
- getActiveLocation(INDArray) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method returns last-updated location for the given INDArray
- getActiveLocation(INDArray) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- getActualTotal(T) - Method in class org.nd4j.evaluation.classification.ConfusionMatrix
-
Computes the total number of times the class actually appeared in the data.
- getAffinityManager() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getAliasInputPort() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
If >= 0, the output is an alias of an input.
- getAliasInputPort() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
If >= 0, the output is an alias of an input.
- getAliasInputPort() - Method in interface org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder
-
If >= 0, the output is an alias of an input.
- getAll3dTestArraysWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getAll3dTestArraysWithShape(long, long[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getAll4dTestArraysWithShape(int, long[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getAll4dTestArraysWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getAll5dTestArraysWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getAll6dTestArraysWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getAllEndRelMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 all_end_rel_micros = 5;
- getAllEndRelMicros() - Method in class org.tensorflow.framework.NodeExecStats
-
int64 all_end_rel_micros = 5;
- getAllEndRelMicros() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
int64 all_end_rel_micros = 5;
- getAllocatedBytes() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Total number of bytes allocated if known
- getAllocatedBytes() - Method in class org.tensorflow.framework.AllocationDescription
-
Total number of bytes allocated if known
- getAllocatedBytes() - Method in interface org.tensorflow.framework.AllocationDescriptionOrBuilder
-
Total number of bytes allocated if known
- getAllocationDescription() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Information about the size and allocator used for the data
- getAllocationDescription() - Method in class org.tensorflow.framework.TensorDescription
-
Information about the size and allocator used for the data
- getAllocationDescription() - Method in interface org.tensorflow.framework.TensorDescriptionOrBuilder
-
Information about the size and allocator used for the data
- getAllocationDescriptionBuilder() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Information about the size and allocator used for the data
- getAllocationDescriptionOrBuilder() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Information about the size and allocator used for the data
- getAllocationDescriptionOrBuilder() - Method in class org.tensorflow.framework.TensorDescription
-
Information about the size and allocator used for the data
- getAllocationDescriptionOrBuilder() - Method in interface org.tensorflow.framework.TensorDescriptionOrBuilder
-
Information about the size and allocator used for the data
- getAllocationId() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Identifier of the allocated buffer if known
- getAllocationId() - Method in class org.tensorflow.framework.AllocationDescription
-
Identifier of the allocated buffer if known
- getAllocationId() - Method in interface org.tensorflow.framework.AllocationDescriptionOrBuilder
-
Identifier of the allocated buffer if known
- getAllocationId() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Id of the tensor buffer being allocated, used to match to a
corresponding deallocation.
- getAllocationId() - Method in class org.tensorflow.framework.MemoryLogRawAllocation
-
Id of the tensor buffer being allocated, used to match to a
corresponding deallocation.
- getAllocationId() - Method in interface org.tensorflow.framework.MemoryLogRawAllocationOrBuilder
-
Id of the tensor buffer being allocated, used to match to a
corresponding deallocation.
- getAllocationId() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Id of the tensor buffer being deallocated, used to match to a
corresponding allocation.
- getAllocationId() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation
-
Id of the tensor buffer being deallocated, used to match to a
corresponding allocation.
- getAllocationId() - Method in interface org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder
-
Id of the tensor buffer being deallocated, used to match to a
corresponding allocation.
- getAllocationId() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
Id of the tensor buffer being deallocated, used to match to a
corresponding allocation.
- getAllocationId() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation
-
Id of the tensor buffer being deallocated, used to match to a
corresponding allocation.
- getAllocationId() - Method in interface org.tensorflow.framework.MemoryLogTensorDeallocationOrBuilder
-
Id of the tensor buffer being deallocated, used to match to a
corresponding allocation.
- getAllocationRecords(int) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- getAllocationRecords(int) - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
The allocation and deallocation timeline.
- getAllocationRecords(int) - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
The allocation and deallocation timeline.
- getAllocationRecordsBuilder(int) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- getAllocationRecordsBuilderList() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- getAllocationRecordsCount() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- getAllocationRecordsCount() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
The allocation and deallocation timeline.
- getAllocationRecordsCount() - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
The allocation and deallocation timeline.
- getAllocationRecordsList() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- getAllocationRecordsList() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
The allocation and deallocation timeline.
- getAllocationRecordsList() - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
The allocation and deallocation timeline.
- getAllocationRecordsOrBuilder(int) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- getAllocationRecordsOrBuilder(int) - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
The allocation and deallocation timeline.
- getAllocationRecordsOrBuilder(int) - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
The allocation and deallocation timeline.
- getAllocationRecordsOrBuilderList() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- getAllocationRecordsOrBuilderList() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
The allocation and deallocation timeline.
- getAllocationRecordsOrBuilderList() - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
The allocation and deallocation timeline.
- getAllocatorBytesInUse() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
These are snapshots of the overall allocator memory stats.
- getAllocatorBytesInUse() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
These are snapshots of the overall allocator memory stats.
- getAllocatorBytesInUse() - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
These are snapshots of the overall allocator memory stats.
- getAllocatorName() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Name of the allocator used
- getAllocatorName() - Method in class org.tensorflow.framework.AllocationDescription
-
Name of the allocator used
- getAllocatorName() - Method in interface org.tensorflow.framework.AllocationDescriptionOrBuilder
-
Name of the allocator used
- getAllocatorName() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
string allocator_name = 1;
- getAllocatorName() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
string allocator_name = 1;
- getAllocatorName() - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
string allocator_name = 1;
- getAllocatorName() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Name of the allocator used.
- getAllocatorName() - Method in class org.tensorflow.framework.MemoryLogRawAllocation
-
Name of the allocator used.
- getAllocatorName() - Method in interface org.tensorflow.framework.MemoryLogRawAllocationOrBuilder
-
Name of the allocator used.
- getAllocatorName() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Name of the allocator used.
- getAllocatorName() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation
-
Name of the allocator used.
- getAllocatorName() - Method in interface org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder
-
Name of the allocator used.
- getAllocatorName() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
Name of the allocator used.
- getAllocatorName() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation
-
Name of the allocator used.
- getAllocatorName() - Method in interface org.tensorflow.framework.MemoryLogTensorDeallocationOrBuilder
-
Name of the allocator used.
- getAllocatorNameBytes() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Name of the allocator used
- getAllocatorNameBytes() - Method in class org.tensorflow.framework.AllocationDescription
-
Name of the allocator used
- getAllocatorNameBytes() - Method in interface org.tensorflow.framework.AllocationDescriptionOrBuilder
-
Name of the allocator used
- getAllocatorNameBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
string allocator_name = 1;
- getAllocatorNameBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
string allocator_name = 1;
- getAllocatorNameBytes() - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
string allocator_name = 1;
- getAllocatorNameBytes() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Name of the allocator used.
- getAllocatorNameBytes() - Method in class org.tensorflow.framework.MemoryLogRawAllocation
-
Name of the allocator used.
- getAllocatorNameBytes() - Method in interface org.tensorflow.framework.MemoryLogRawAllocationOrBuilder
-
Name of the allocator used.
- getAllocatorNameBytes() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Name of the allocator used.
- getAllocatorNameBytes() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation
-
Name of the allocator used.
- getAllocatorNameBytes() - Method in interface org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder
-
Name of the allocator used.
- getAllocatorNameBytes() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
Name of the allocator used.
- getAllocatorNameBytes() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation
-
Name of the allocator used.
- getAllocatorNameBytes() - Method in interface org.tensorflow.framework.MemoryLogTensorDeallocationOrBuilder
-
Name of the allocator used.
- getAllocatorType() - Method in class org.tensorflow.framework.GPUOptions.Builder
-
The type of GPU allocation strategy to use.
- getAllocatorType() - Method in class org.tensorflow.framework.GPUOptions
-
The type of GPU allocation strategy to use.
- getAllocatorType() - Method in interface org.tensorflow.framework.GPUOptionsOrBuilder
-
The type of GPU allocation strategy to use.
- getAllocatorTypeBytes() - Method in class org.tensorflow.framework.GPUOptions.Builder
-
The type of GPU allocation strategy to use.
- getAllocatorTypeBytes() - Method in class org.tensorflow.framework.GPUOptions
-
The type of GPU allocation strategy to use.
- getAllocatorTypeBytes() - Method in interface org.tensorflow.framework.GPUOptionsOrBuilder
-
The type of GPU allocation strategy to use.
- getAllocBytes() - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
Number of bytes allocated, or de-allocated if negative.
- getAllocBytes() - Method in class org.tensorflow.framework.AllocationRecord
-
Number of bytes allocated, or de-allocated if negative.
- getAllocBytes() - Method in interface org.tensorflow.framework.AllocationRecordOrBuilder
-
Number of bytes allocated, or de-allocated if negative.
- getAllocMicros() - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
The timestamp of the operation.
- getAllocMicros() - Method in class org.tensorflow.framework.AllocationRecord
-
The timestamp of the operation.
- getAllocMicros() - Method in interface org.tensorflow.framework.AllocationRecordOrBuilder
-
The timestamp of the operation.
- getAllowedValues() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
A list of values that this kernel supports for this attr.
- getAllowedValues() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint
-
A list of values that this kernel supports for this attr.
- getAllowedValues() - Method in interface org.tensorflow.framework.KernelDef.AttrConstraintOrBuilder
-
A list of values that this kernel supports for this attr.
- getAllowedValues() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
The set of allowed values.
- getAllowedValues() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
The set of allowed values.
- getAllowedValues() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
The set of allowed values.
- getAllowedValuesBuilder() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
A list of values that this kernel supports for this attr.
- getAllowedValuesBuilder() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
The set of allowed values.
- getAllowedValuesOrBuilder() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
A list of values that this kernel supports for this attr.
- getAllowedValuesOrBuilder() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint
-
A list of values that this kernel supports for this attr.
- getAllowedValuesOrBuilder() - Method in interface org.tensorflow.framework.KernelDef.AttrConstraintOrBuilder
-
A list of values that this kernel supports for this attr.
- getAllowedValuesOrBuilder() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
The set of allowed values.
- getAllowedValuesOrBuilder() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
The set of allowed values.
- getAllowedValuesOrBuilder() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
The set of allowed values.
- getAllowGrowth() - Method in class org.tensorflow.framework.GPUOptions.Builder
-
If true, the allocator does not pre-allocate the entire specified
GPU memory region, instead starting small and growing as needed.
- getAllowGrowth() - Method in class org.tensorflow.framework.GPUOptions
-
If true, the allocator does not pre-allocate the entire specified
GPU memory region, instead starting small and growing as needed.
- getAllowGrowth() - Method in interface org.tensorflow.framework.GPUOptionsOrBuilder
-
If true, the allocator does not pre-allocate the entire specified
GPU memory region, instead starting small and growing as needed.
- getAllowSoftPlacement() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Whether soft placement is allowed.
- getAllowSoftPlacement() - Method in class org.tensorflow.framework.ConfigProto
-
Whether soft placement is allowed.
- getAllowSoftPlacement() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
Whether soft placement is allowed.
- getAllowsUninitializedInput() - Method in class org.tensorflow.framework.OpDef.Builder
-
By default, all inputs to an Op must be initialized Tensors.
- getAllowsUninitializedInput() - Method in class org.tensorflow.framework.OpDef
-
By default, all inputs to an Op must be initialized Tensors.
- getAllowsUninitializedInput() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
By default, all inputs to an Op must be initialized Tensors.
- getAllStartMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 all_start_micros = 2;
- getAllStartMicros() - Method in class org.tensorflow.framework.NodeExecStats
-
int64 all_start_micros = 2;
- getAllStartMicros() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
int64 all_start_micros = 2;
- getAllTestMatricesWithShape(char, int, int, int, DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
Get an array of INDArrays (2d) all with the specified shape.
- getAllTestMatricesWithShape(long, long, long, DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
Get an array of INDArrays (2d) all with the specified shape.
- getAllWorkspacesForCurrentThread() - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
- getAllWorkspacesIdsForCurrentThread() - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
- getAndActivateWorkspace() - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
This method gets & activates default workspace
- getAndActivateWorkspace(String) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
This method gets & activates workspace with a given Id
- getAndActivateWorkspace(WorkspaceConfiguration, String) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
This method gets & activates default with a given configuration and Id
- getAndParameterizeOp(String, AbstractSession.FrameIter, Set<AbstractSession.VarId>, Set<AbstractSession.VarId>, Set<String>, Map<String, T>) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession
-
Get the parameterized op to execute - for example, the op/DifferentialFunction with all inputs set
- getAndParameterizeOp(String, AbstractSession.FrameIter, Set<AbstractSession.VarId>, Set<AbstractSession.VarId>, Set<String>, Map<String, DataType>) - Method in class org.nd4j.autodiff.samediff.internal.DataTypesSession
-
- getAndParameterizeOp(String, AbstractSession.FrameIter, Set<AbstractSession.VarId>, Set<AbstractSession.VarId>, Set<String>, Map<String, INDArray>) - Method in class org.nd4j.autodiff.samediff.internal.InferenceSession
-
- getAnyInfo() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
A serialized protobuf.
- getAnyInfo() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
A serialized protobuf.
- getAnyInfo() - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
A serialized protobuf.
- getAnyInfoBuilder() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
A serialized protobuf.
- getAnyInfoOrBuilder() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
A serialized protobuf.
- getAnyInfoOrBuilder() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
A serialized protobuf.
- getAnyInfoOrBuilder() - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
A serialized protobuf.
- getAnyList() - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.AnyList any_list = 5;
- getAnyList() - Method in class org.tensorflow.framework.CollectionDef
-
.tensorflow.CollectionDef.AnyList any_list = 5;
- getAnyList() - Method in interface org.tensorflow.framework.CollectionDefOrBuilder
-
.tensorflow.CollectionDef.AnyList any_list = 5;
- getAnyListBuilder() - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.AnyList any_list = 5;
- getAnyListOrBuilder() - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.AnyList any_list = 5;
- getAnyListOrBuilder() - Method in class org.tensorflow.framework.CollectionDef
-
.tensorflow.CollectionDef.AnyList any_list = 5;
- getAnyListOrBuilder() - Method in interface org.tensorflow.framework.CollectionDefOrBuilder
-
.tensorflow.CollectionDef.AnyList any_list = 5;
- getArgOrder(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
List of original in_arg names to specify new argument order.
- getArgOrder(int) - Method in class org.tensorflow.framework.ApiDef
-
List of original in_arg names to specify new argument order.
- getArgOrder(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
List of original in_arg names to specify new argument order.
- getArgOrderBytes(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
List of original in_arg names to specify new argument order.
- getArgOrderBytes(int) - Method in class org.tensorflow.framework.ApiDef
-
List of original in_arg names to specify new argument order.
- getArgOrderBytes(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
List of original in_arg names to specify new argument order.
- getArgOrderCount() - Method in class org.tensorflow.framework.ApiDef.Builder
-
List of original in_arg names to specify new argument order.
- getArgOrderCount() - Method in class org.tensorflow.framework.ApiDef
-
List of original in_arg names to specify new argument order.
- getArgOrderCount() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
List of original in_arg names to specify new argument order.
- getArgOrderList() - Method in class org.tensorflow.framework.ApiDef.Builder
-
List of original in_arg names to specify new argument order.
- getArgOrderList() - Method in class org.tensorflow.framework.ApiDef
-
List of original in_arg names to specify new argument order.
- getArgOrderList() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
List of original in_arg names to specify new argument order.
- getArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
- getArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- getArithmeticOptimization() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Arithmetic optimizations (default is ON)
e.g.
- getArithmeticOptimization() - Method in class org.tensorflow.framework.RewriterConfig
-
Arithmetic optimizations (default is ON)
e.g.
- getArithmeticOptimization() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
Arithmetic optimizations (default is ON)
e.g.
- getArithmeticOptimizationValue() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Arithmetic optimizations (default is ON)
e.g.
- getArithmeticOptimizationValue() - Method in class org.tensorflow.framework.RewriterConfig
-
Arithmetic optimizations (default is ON)
e.g.
- getArithmeticOptimizationValue() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
Arithmetic optimizations (default is ON)
e.g.
- getArr() - Method in class org.nd4j.autodiff.samediff.SDVariable
-
A getter for the allocated ndarray with this
SDVariable
.
- getArr(boolean) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
A getter for the allocated ndarray with this
SDVariable
.
- getArr() - Method in interface org.nd4j.weightinit.impl.NDArraySupplierInitScheme.NDArraySupplier
-
An array proxy method.
- getArray(SDVariable, Collection<AbstractSession.VarId>, Collection<AbstractSession.VarId>) - Method in class org.nd4j.autodiff.samediff.internal.InferenceSession
-
- getArrayFrom(NODE_TYPE, GRAPH_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
- getArrayFrom(OnnxProto3.NodeProto, OnnxProto3.GraphProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getArrayFrom(NodeDef, GraphDef) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getArrForVarName(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Get an
INDArray
for a given vertex id, or null if none exists
- getAssetFileDef(int) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
Asset file def to be used with the defined graph.
- getAssetFileDef(int) - Method in class org.tensorflow.framework.MetaGraphDef
-
Asset file def to be used with the defined graph.
- getAssetFileDef(int) - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder
-
Asset file def to be used with the defined graph.
- getAssetFileDefBuilder(int) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
Asset file def to be used with the defined graph.
- getAssetFileDefBuilderList() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
Asset file def to be used with the defined graph.
- getAssetFileDefCount() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
Asset file def to be used with the defined graph.
- getAssetFileDefCount() - Method in class org.tensorflow.framework.MetaGraphDef
-
Asset file def to be used with the defined graph.
- getAssetFileDefCount() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder
-
Asset file def to be used with the defined graph.
- getAssetFileDefList() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
Asset file def to be used with the defined graph.
- getAssetFileDefList() - Method in class org.tensorflow.framework.MetaGraphDef
-
Asset file def to be used with the defined graph.
- getAssetFileDefList() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder
-
Asset file def to be used with the defined graph.
- getAssetFileDefOrBuilder(int) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
Asset file def to be used with the defined graph.
- getAssetFileDefOrBuilder(int) - Method in class org.tensorflow.framework.MetaGraphDef
-
Asset file def to be used with the defined graph.
- getAssetFileDefOrBuilder(int) - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder
-
Asset file def to be used with the defined graph.
- getAssetFileDefOrBuilderList() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
Asset file def to be used with the defined graph.
- getAssetFileDefOrBuilderList() - Method in class org.tensorflow.framework.MetaGraphDef
-
Asset file def to be used with the defined graph.
- getAssetFileDefOrBuilderList() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder
-
Asset file def to be used with the defined graph.
- getAsync() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
Whether the ops on the worker should be executed synchronously or
asynchronously.
- getAsync() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
-
Whether the ops on the worker should be executed synchronously or
asynchronously.
- getAsync() - Method in interface tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder
-
Whether the ops on the worker should be executed synchronously or
asynchronously.
- getAttr(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttr(int) - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttr(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttr() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
Deprecated.
- getAttr() - Method in class org.tensorflow.framework.FunctionDef
-
Deprecated.
- getAttr() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
Deprecated.
- getAttr() - Method in class org.tensorflow.framework.NameAttrList.Builder
-
Deprecated.
- getAttr() - Method in class org.tensorflow.framework.NameAttrList
-
Deprecated.
- getAttr() - Method in interface org.tensorflow.framework.NameAttrListOrBuilder
-
Deprecated.
- getAttr() - Method in class org.tensorflow.framework.NodeDef.Builder
-
Deprecated.
- getAttr() - Method in class org.tensorflow.framework.NodeDef
-
Deprecated.
- getAttr() - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
Deprecated.
- getAttr(int) - Method in class org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttr(int) - Method in class org.tensorflow.framework.OpDef
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttr(int) - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrBuilder(int) - Method in class org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrBuilderList() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrBuilderList() - Method in class org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrCount() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrCount() - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrCount() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrCount() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
- getAttrCount() - Method in class org.tensorflow.framework.FunctionDef
-
- getAttrCount() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
Attributes specific to this function definition.
- getAttrCount() - Method in class org.tensorflow.framework.NameAttrList.Builder
-
- getAttrCount() - Method in class org.tensorflow.framework.NameAttrList
-
- getAttrCount() - Method in interface org.tensorflow.framework.NameAttrListOrBuilder
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrCount() - Method in class org.tensorflow.framework.NodeDef.Builder
-
- getAttrCount() - Method in class org.tensorflow.framework.NodeDef
-
- getAttrCount() - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
Operation-specific graph-construction-time configuration.
- getAttrCount() - Method in class org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrCount() - Method in class org.tensorflow.framework.OpDef
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrCount() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttribute(int) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
Additional named attributes.
- getAttribute(int) - Method in class onnx.OnnxMlProto3.NodeProto
-
Additional named attributes.
- getAttribute(int) - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
Additional named attributes.
- getAttribute(int) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
Additional named attributes.
- getAttribute(int) - Method in class onnx.OnnxProto3.NodeProto
-
Additional named attributes.
- getAttribute(int) - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
Additional named attributes.
- getAttributeBuilder(int) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
Additional named attributes.
- getAttributeBuilder(int) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
Additional named attributes.
- getAttributeBuilderList() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
Additional named attributes.
- getAttributeBuilderList() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
Additional named attributes.
- getAttributeCount() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
Additional named attributes.
- getAttributeCount() - Method in class onnx.OnnxMlProto3.NodeProto
-
Additional named attributes.
- getAttributeCount() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
Additional named attributes.
- getAttributeCount() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
Additional named attributes.
- getAttributeCount() - Method in class onnx.OnnxProto3.NodeProto
-
Additional named attributes.
- getAttributeCount() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
Additional named attributes.
- getAttributeList() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
Additional named attributes.
- getAttributeList() - Method in class onnx.OnnxMlProto3.NodeProto
-
Additional named attributes.
- getAttributeList() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
Additional named attributes.
- getAttributeList() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
Additional named attributes.
- getAttributeList() - Method in class onnx.OnnxProto3.NodeProto
-
Additional named attributes.
- getAttributeList() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
Additional named attributes.
- getAttributeOrBuilder(int) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
Additional named attributes.
- getAttributeOrBuilder(int) - Method in class onnx.OnnxMlProto3.NodeProto
-
Additional named attributes.
- getAttributeOrBuilder(int) - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
Additional named attributes.
- getAttributeOrBuilder(int) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
Additional named attributes.
- getAttributeOrBuilder(int) - Method in class onnx.OnnxProto3.NodeProto
-
Additional named attributes.
- getAttributeOrBuilder(int) - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
Additional named attributes.
- getAttributeOrBuilderList() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
Additional named attributes.
- getAttributeOrBuilderList() - Method in class onnx.OnnxMlProto3.NodeProto
-
Additional named attributes.
- getAttributeOrBuilderList() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
Additional named attributes.
- getAttributeOrBuilderList() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
Additional named attributes.
- getAttributeOrBuilderList() - Method in class onnx.OnnxProto3.NodeProto
-
Additional named attributes.
- getAttributeOrBuilderList() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
Additional named attributes.
- getAttributes(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Serialized data specific to this object.
- getAttributes(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Serialized data specific to this object.
- getAttributes(int) - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Serialized data specific to this object.
- getAttributesBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Serialized data specific to this object.
- getAttributesBuilderList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Serialized data specific to this object.
- getAttributesCount() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Serialized data specific to this object.
- getAttributesCount() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Serialized data specific to this object.
- getAttributesCount() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Serialized data specific to this object.
- getAttributesList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Serialized data specific to this object.
- getAttributesList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Serialized data specific to this object.
- getAttributesList() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Serialized data specific to this object.
- getAttributesOrBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Serialized data specific to this object.
- getAttributesOrBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Serialized data specific to this object.
- getAttributesOrBuilder(int) - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Serialized data specific to this object.
- getAttributesOrBuilderList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Serialized data specific to this object.
- getAttributesOrBuilderList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Serialized data specific to this object.
- getAttributesOrBuilderList() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Serialized data specific to this object.
- getAttrList() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrList() - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrList() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrList() - Method in class org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrList() - Method in class org.tensorflow.framework.OpDef
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrList() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrMap(NODE_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
Get the attribute
map for given node
- getAttrMap(OnnxProto3.NodeProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getAttrMap(NodeDef) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getAttrMap() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
Attributes specific to this function definition.
- getAttrMap() - Method in class org.tensorflow.framework.FunctionDef
-
Attributes specific to this function definition.
- getAttrMap() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
Attributes specific to this function definition.
- getAttrMap() - Method in class org.tensorflow.framework.NameAttrList.Builder
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrMap() - Method in class org.tensorflow.framework.NameAttrList
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrMap() - Method in interface org.tensorflow.framework.NameAttrListOrBuilder
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrMap() - Method in class org.tensorflow.framework.NodeDef.Builder
-
Operation-specific graph-construction-time configuration.
- getAttrMap() - Method in class org.tensorflow.framework.NodeDef
-
Operation-specific graph-construction-time configuration.
- getAttrMap() - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
Operation-specific graph-construction-time configuration.
- getAttrOrBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrOrBuilder(int) - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrOrBuilder(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrOrBuilder(int) - Method in class org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrOrBuilder(int) - Method in class org.tensorflow.framework.OpDef
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrOrBuilder(int) - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrOrBuilderList() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrOrBuilderList() - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrOrBuilderList() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrOrBuilderList() - Method in class org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrOrBuilderList() - Method in class org.tensorflow.framework.OpDef
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrOrBuilderList() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
Attributes specific to this function definition.
- getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.framework.FunctionDef
-
Attributes specific to this function definition.
- getAttrOrDefault(String, AttrValue) - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
Attributes specific to this function definition.
- getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.framework.NameAttrList.Builder
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.framework.NameAttrList
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrOrDefault(String, AttrValue) - Method in interface org.tensorflow.framework.NameAttrListOrBuilder
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.framework.NodeDef.Builder
-
Operation-specific graph-construction-time configuration.
- getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.framework.NodeDef
-
Operation-specific graph-construction-time configuration.
- getAttrOrDefault(String, AttrValue) - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
Operation-specific graph-construction-time configuration.
- getAttrOrThrow(String) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
Attributes specific to this function definition.
- getAttrOrThrow(String) - Method in class org.tensorflow.framework.FunctionDef
-
Attributes specific to this function definition.
- getAttrOrThrow(String) - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
Attributes specific to this function definition.
- getAttrOrThrow(String) - Method in class org.tensorflow.framework.NameAttrList.Builder
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrOrThrow(String) - Method in class org.tensorflow.framework.NameAttrList
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrOrThrow(String) - Method in interface org.tensorflow.framework.NameAttrListOrBuilder
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrOrThrow(String) - Method in class org.tensorflow.framework.NodeDef.Builder
-
Operation-specific graph-construction-time configuration.
- getAttrOrThrow(String) - Method in class org.tensorflow.framework.NodeDef
-
Operation-specific graph-construction-time configuration.
- getAttrOrThrow(String) - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
Operation-specific graph-construction-time configuration.
- getAttrs() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
Deprecated.
- getAttrs() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation
-
Deprecated.
- getAttrs() - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
Deprecated.
- getAttrsCount() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
- getAttrsCount() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation
-
- getAttrsCount() - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
map<string, .tensorflow.AttrValue> attrs = 5;
- getAttrsMap() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
map<string, .tensorflow.AttrValue> attrs = 5;
- getAttrsMap() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation
-
map<string, .tensorflow.AttrValue> attrs = 5;
- getAttrsMap() - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
map<string, .tensorflow.AttrValue> attrs = 5;
- getAttrsOrDefault(String, AttrValue) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
map<string, .tensorflow.AttrValue> attrs = 5;
- getAttrsOrDefault(String, AttrValue) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation
-
map<string, .tensorflow.AttrValue> attrs = 5;
- getAttrsOrDefault(String, AttrValue) - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
map<string, .tensorflow.AttrValue> attrs = 5;
- getAttrsOrThrow(String) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
map<string, .tensorflow.AttrValue> attrs = 5;
- getAttrsOrThrow(String) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation
-
map<string, .tensorflow.AttrValue> attrs = 5;
- getAttrsOrThrow(String) - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
map<string, .tensorflow.AttrValue> attrs = 5;
- getAttrValueFromNode(NODE_TYPE, String) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
- getAttrValueFromNode(OnnxProto3.NodeProto, String) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getAttrValueFromNode(NodeDef, String) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getAudio() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Audio audio = 6;
- getAudio() - Method in class org.tensorflow.framework.Summary.Value
-
.tensorflow.Summary.Audio audio = 6;
- getAudio() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
.tensorflow.Summary.Audio audio = 6;
- getAudioBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Audio audio = 6;
- getAudioOrBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Audio audio = 6;
- getAudioOrBuilder() - Method in class org.tensorflow.framework.Summary.Value
-
.tensorflow.Summary.Audio audio = 6;
- getAudioOrBuilder() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
.tensorflow.Summary.Audio audio = 6;
- getAutoGcWindow() - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- getAutoGcWindow() - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method reutrns
- getAutoParallel() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Configures AutoParallel optimization passes either through the
meta-optimizer or when manually specified through the optimizers field.
- getAutoParallel() - Method in class org.tensorflow.framework.RewriterConfig
-
Configures AutoParallel optimization passes either through the
meta-optimizer or when manually specified through the optimizers field.
- getAutoParallel() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
Configures AutoParallel optimization passes either through the
meta-optimizer or when manually specified through the optimizers field.
- getAutoParallelBuilder() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Configures AutoParallel optimization passes either through the
meta-optimizer or when manually specified through the optimizers field.
- getAutoParallelOrBuilder() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Configures AutoParallel optimization passes either through the
meta-optimizer or when manually specified through the optimizers field.
- getAutoParallelOrBuilder() - Method in class org.tensorflow.framework.RewriterConfig
-
Configures AutoParallel optimization passes either through the
meta-optimizer or when manually specified through the optimizers field.
- getAutoParallelOrBuilder() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
Configures AutoParallel optimization passes either through the
meta-optimizer or when manually specified through the optimizers field.
- getAvailableCompressors() - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
Get the set of available codecs for
compression
- getAverage() - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet
-
- getAverage(String) - Method in class org.nd4j.linalg.profiler.data.StringAggregator
-
- getAverageLoopTime() - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- getAverageLoopTime() - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method returns average time between invokeGCOccasionally() calls
- getAverageValue(MemcpyDirection) - Method in class org.nd4j.linalg.api.ops.performance.primitives.AveragingTransactionsHolder
-
- getAxis() - Method in class org.nd4j.evaluation.classification.Evaluation
-
- getAxis() - Method in class org.nd4j.evaluation.classification.EvaluationCalibration
-
- getAxis() - Method in class org.nd4j.evaluation.classification.ROC
-
- getAxis() - Method in class org.nd4j.evaluation.classification.ROCBinary
-
- getAxis() - Method in class org.nd4j.evaluation.classification.ROCMultiClass
-
- getB() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"bool"
- getB() - Method in class org.tensorflow.framework.AttrValue
-
"bool"
- getB(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(bool)"
- getB(int) - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(bool)"
- getB(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(bool)"
- getB() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
"bool"
- getBackend() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getBackProp() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Whether backprop is enabled for this while loop.
- getBackProp() - Method in class org.tensorflow.framework.WhileContextDef
-
Whether backprop is enabled for this while loop.
- getBackProp() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder
-
Whether backprop is enabled for this while loop.
- getBadConsumers(int) - Method in class org.tensorflow.framework.VersionDef.Builder
-
Specific consumer versions which are disallowed (e.g.
- getBadConsumers(int) - Method in class org.tensorflow.framework.VersionDef
-
Specific consumer versions which are disallowed (e.g.
- getBadConsumers(int) - Method in interface org.tensorflow.framework.VersionDefOrBuilder
-
Specific consumer versions which are disallowed (e.g.
- getBadConsumersCount() - Method in class org.tensorflow.framework.VersionDef.Builder
-
Specific consumer versions which are disallowed (e.g.
- getBadConsumersCount() - Method in class org.tensorflow.framework.VersionDef
-
Specific consumer versions which are disallowed (e.g.
- getBadConsumersCount() - Method in interface org.tensorflow.framework.VersionDefOrBuilder
-
Specific consumer versions which are disallowed (e.g.
- getBadConsumersList() - Method in class org.tensorflow.framework.VersionDef.Builder
-
Specific consumer versions which are disallowed (e.g.
- getBadConsumersList() - Method in class org.tensorflow.framework.VersionDef
-
Specific consumer versions which are disallowed (e.g.
- getBadConsumersList() - Method in interface org.tensorflow.framework.VersionDefOrBuilder
-
Specific consumer versions which are disallowed (e.g.
- getBandwidth() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Memory bandwidth in KB/s
- getBandwidth() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties
-
Memory bandwidth in KB/s
- getBandwidth() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Memory bandwidth in KB/s
- getBandwidthUse() - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method returns per-device bandwidth use for memory transfers
- getBArgument(int) - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
-
- getBArgument(int) - Method in interface org.nd4j.linalg.api.ops.CustomOp
-
- getBArgument(int) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
-
- getBArgument(int) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
-
- getBArgument(int) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
-
- getBaseNameForFunction(DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Returns the base name for the given function
if any (may return null)
- getBatches(List<U>) - Static method in class org.nd4j.linalg.api.ops.aggregates.Batch
-
Helper method to create batch from list of aggregates, for cases when list of aggregates is higher then batchLimit
- getBatches(List<U>, int) - Static method in class org.nd4j.linalg.api.ops.aggregates.Batch
-
Helper method to create batch from list of aggregates, for cases when list of aggregates is higher then batchLimit
- getBCount() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(bool)"
- getBCount() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(bool)"
- getBCount() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(bool)"
- getBegin() - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
int64 begin = 1;
- getBegin() - Method in class onnx.OnnxMlProto3.TensorProto.Segment
-
int64 begin = 1;
- getBegin() - Method in interface onnx.OnnxMlProto3.TensorProto.SegmentOrBuilder
-
int64 begin = 1;
- getBegin() - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
int64 begin = 1;
- getBegin() - Method in class onnx.OnnxProto3.TensorProto.Segment
-
int64 begin = 1;
- getBegin() - Method in interface onnx.OnnxProto3.TensorProto.SegmentOrBuilder
-
int64 begin = 1;
- getBinCounts() - Method in class org.nd4j.evaluation.curves.BaseHistogram
-
- getBinLowerBounds() - Method in class org.nd4j.evaluation.curves.BaseHistogram
-
- getBinLowerBounds() - Method in class org.nd4j.evaluation.curves.Histogram
-
- getBinMidValues() - Method in class org.nd4j.evaluation.curves.BaseHistogram
-
- getBinMidValues() - Method in class org.nd4j.evaluation.curves.Histogram
-
- getBinUpperBounds() - Method in class org.nd4j.evaluation.curves.BaseHistogram
-
- getBinUpperBounds() - Method in class org.nd4j.evaluation.curves.Histogram
-
- getBlasOffset(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Get blas stride for the
given array
- getBlasStride(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Get blas stride for the
given array
- getBlasVendor() - Method in interface org.nd4j.linalg.api.blas.Blas
-
Returns the BLAS library vendor
- getBlasVendorId() - Method in interface org.nd4j.linalg.api.blas.Blas
-
Returns the BLAS library vendor id
0 - UNKNOWN, 1 - CUBLAS, 2 - OPENBLAS, 3 - MKL
- getBlasWrapper() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getBList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(bool)"
- getBList() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(bool)"
- getBList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(bool)"
- getBlockName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.IfDerivative
-
- getBlockName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.WhileDerivative
-
- getBoolVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_BOOL
- getBoolVal(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_BOOL
- getBoolVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_BOOL
- getBoolValCount() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_BOOL
- getBoolValCount() - Method in class org.tensorflow.framework.TensorProto
-
DT_BOOL
- getBoolValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_BOOL
- getBoolValList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_BOOL
- getBoolValList() - Method in class org.tensorflow.framework.TensorProto
-
DT_BOOL
- getBoolValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_BOOL
- getBranch() - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Branch prediction.
- getBranch() - Method in class org.tensorflow.framework.CondContextDef
-
Branch prediction.
- getBranch() - Method in interface org.tensorflow.framework.CondContextDefOrBuilder
-
Branch prediction.
- getBroadcastDimensions(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Compute the broadcast rules according to:
https://docs.scipy.org/doc/numpy-1.10.1/user/basics.broadcasting.html
Note that the array can be null if the arrays are already equal
in shape.
- getBroadcastDimensions(long[], long[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getBucket(int) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
repeated double bucket = 7 [packed = true];
- getBucket(int) - Method in class org.tensorflow.framework.HistogramProto
-
repeated double bucket = 7 [packed = true];
- getBucket(int) - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder
-
repeated double bucket = 7 [packed = true];
- getBucketCount() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
repeated double bucket = 7 [packed = true];
- getBucketCount() - Method in class org.tensorflow.framework.HistogramProto
-
repeated double bucket = 7 [packed = true];
- getBucketCount() - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder
-
repeated double bucket = 7 [packed = true];
- getBucketLimit(int) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- getBucketLimit(int) - Method in class org.tensorflow.framework.HistogramProto
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- getBucketLimit(int) - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- getBucketLimitCount() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- getBucketLimitCount() - Method in class org.tensorflow.framework.HistogramProto
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- getBucketLimitCount() - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- getBucketLimitList() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- getBucketLimitList() - Method in class org.tensorflow.framework.HistogramProto
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- getBucketLimitList() - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- getBucketList() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
repeated double bucket = 7 [packed = true];
- getBucketList() - Method in class org.tensorflow.framework.HistogramProto
-
repeated double bucket = 7 [packed = true];
- getBucketList() - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder
-
repeated double bucket = 7 [packed = true];
- getBufPtr() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
When RDMA is in use, address of destination field on client.
- getBufPtr() - Method in class org.tensorflow.distruntime.RecvBufRequest
-
When RDMA is in use, address of destination field on client.
- getBufPtr() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
When RDMA is in use, address of destination field on client.
- getBufPtr() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
-
Address of source field on server.
- getBufPtr() - Method in class org.tensorflow.distruntime.RecvBufResponse
-
Address of source field on server.
- getBufPtr() - Method in interface org.tensorflow.distruntime.RecvBufResponseOrBuilder
-
Address of source field on server.
- getBufRendezvousKey() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Arbitrary string identifying a BufRendezvous entry.
- getBufRendezvousKey() - Method in class org.tensorflow.distruntime.RecvBufRequest
-
Arbitrary string identifying a BufRendezvous entry.
- getBufRendezvousKey() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
Arbitrary string identifying a BufRendezvous entry.
- getBufRendezvousKeyBytes() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Arbitrary string identifying a BufRendezvous entry.
- getBufRendezvousKeyBytes() - Method in class org.tensorflow.distruntime.RecvBufRequest
-
Arbitrary string identifying a BufRendezvous entry.
- getBufRendezvousKeyBytes() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
Arbitrary string identifying a BufRendezvous entry.
- getBuildCostModel() - Method in class org.tensorflow.framework.GraphOptions.Builder
-
The number of steps to run before returning a cost model detailing
the memory usage and performance of each node of the graph.
- getBuildCostModel() - Method in class org.tensorflow.framework.GraphOptions
-
The number of steps to run before returning a cost model detailing
the memory usage and performance of each node of the graph.
- getBuildCostModel() - Method in interface org.tensorflow.framework.GraphOptionsOrBuilder
-
The number of steps to run before returning a cost model detailing
the memory usage and performance of each node of the graph.
- getBuildCostModelAfter() - Method in class org.tensorflow.framework.GraphOptions.Builder
-
The number of steps to skip before collecting statistics for the
cost model.
- getBuildCostModelAfter() - Method in class org.tensorflow.framework.GraphOptions
-
The number of steps to skip before collecting statistics for the
cost model.
- getBuildCostModelAfter() - Method in interface org.tensorflow.framework.GraphOptionsOrBuilder
-
The number of steps to skip before collecting statistics for the
cost model.
- getBusId() - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
Optional bus locality of device.
- getBusId() - Method in class org.tensorflow.framework.DeviceLocality
-
Optional bus locality of device.
- getBusId() - Method in interface org.tensorflow.framework.DeviceLocalityOrBuilder
-
Optional bus locality of device.
- getById(String) - Method in class org.nd4j.autodiff.execution.input.Operands
-
This method returns array identified its name
- getById(int) - Method in class org.nd4j.autodiff.execution.input.Operands
-
This method returns array identified its numeric id
- getById(int, int) - Method in class org.nd4j.autodiff.execution.input.Operands
-
This method returns array identified its numeric id and index
- getBytes() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
Byte size of the file.
- getBytes() - Method in class org.tensorflow.framework.DebuggedSourceFile
-
Byte size of the file.
- getBytes() - Method in interface org.tensorflow.framework.DebuggedSourceFileOrBuilder
-
Byte size of the file.
- getBytesList() - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.BytesList bytes_list = 2;
- getBytesList() - Method in class org.tensorflow.framework.CollectionDef
-
.tensorflow.CollectionDef.BytesList bytes_list = 2;
- getBytesList() - Method in interface org.tensorflow.framework.CollectionDefOrBuilder
-
.tensorflow.CollectionDef.BytesList bytes_list = 2;
- getBytesListBuilder() - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.BytesList bytes_list = 2;
- getBytesListOrBuilder() - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.BytesList bytes_list = 2;
- getBytesListOrBuilder() - Method in class org.tensorflow.framework.CollectionDef
-
.tensorflow.CollectionDef.BytesList bytes_list = 2;
- getBytesListOrBuilder() - Method in interface org.tensorflow.framework.CollectionDefOrBuilder
-
.tensorflow.CollectionDef.BytesList bytes_list = 2;
- getCachedBytes() - Method in class org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider
-
- getCachedBytes() - Method in interface org.nd4j.linalg.api.ndarray.ShapeInfoProvider
-
This method returns memory used for cache, in bytes
- getCachedBytes() - Method in interface org.nd4j.linalg.cache.ConstantHandler
-
This method returns memory used for cache, in bytes
- getCachedBytes() - Method in interface org.nd4j.linalg.cache.TADManager
-
This method returns memory used for cache, in bytes
- getCancelOpName() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
The operation to run to cancel the queue.
- getCancelOpName() - Method in class org.tensorflow.framework.QueueRunnerDef
-
The operation to run to cancel the queue.
- getCancelOpName() - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder
-
The operation to run to cancel the queue.
- getCancelOpNameBytes() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
The operation to run to cancel the queue.
- getCancelOpNameBytes() - Method in class org.tensorflow.framework.QueueRunnerDef
-
The operation to run to cancel the queue.
- getCancelOpNameBytes() - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder
-
The operation to run to cancel the queue.
- getCharForTranspose(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Returns the proper character for
how to interpret a buffer (fortran being N C being T)
- getCheckpointKey() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
The generated name of the Tensor in the checkpoint.
- getCheckpointKey() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
-
The generated name of the Tensor in the checkpoint.
- getCheckpointKey() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensorOrBuilder
-
The generated name of the Tensor in the checkpoint.
- getCheckpointKeyBytes() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
The generated name of the Tensor in the checkpoint.
- getCheckpointKeyBytes() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
-
The generated name of the Tensor in the checkpoint.
- getCheckpointKeyBytes() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensorOrBuilder
-
The generated name of the Tensor in the checkpoint.
- getChildren(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Objects which this object depends on.
- getChildren(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Objects which this object depends on.
- getChildren(int) - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Objects which this object depends on.
- getChildrenBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Objects which this object depends on.
- getChildrenBuilderList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Objects which this object depends on.
- getChildrenCount() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Objects which this object depends on.
- getChildrenCount() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Objects which this object depends on.
- getChildrenCount() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Objects which this object depends on.
- getChildrenList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Objects which this object depends on.
- getChildrenList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Objects which this object depends on.
- getChildrenList() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Objects which this object depends on.
- getChildrenOrBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Objects which this object depends on.
- getChildrenOrBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Objects which this object depends on.
- getChildrenOrBuilder(int) - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Objects which this object depends on.
- getChildrenOrBuilderList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Objects which this object depends on.
- getChildrenOrBuilderList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Objects which this object depends on.
- getChildrenOrBuilderList() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Objects which this object depends on.
- getClasses() - Method in class org.nd4j.evaluation.classification.ConfusionMatrix
-
Gives the applyTransformToDestination of all classes in the confusion matrix.
- getClassLabel(Integer) - Method in class org.nd4j.evaluation.classification.Evaluation
-
- getClear() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
-
If true, discard any saved logging data (for all steps).
- getClear() - Method in class org.tensorflow.distruntime.LoggingRequest
-
If true, discard any saved logging data (for all steps).
- getClear() - Method in interface org.tensorflow.distruntime.LoggingRequestOrBuilder
-
If true, discard any saved logging data (for all steps).
- getClientLocality() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional information on client-side device locality.
- getClientLocality() - Method in class org.tensorflow.distruntime.RecvBufRequest
-
Optional information on client-side device locality.
- getClientLocality() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
Optional information on client-side device locality.
- getClientLocality() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Optional information on client-side device locality.
- getClientLocality() - Method in class org.tensorflow.distruntime.RecvTensorRequest
-
Optional information on client-side device locality.
- getClientLocality() - Method in interface org.tensorflow.distruntime.RecvTensorRequestOrBuilder
-
Optional information on client-side device locality.
- getClientLocalityBuilder() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional information on client-side device locality.
- getClientLocalityBuilder() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Optional information on client-side device locality.
- getClientLocalityOrBuilder() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional information on client-side device locality.
- getClientLocalityOrBuilder() - Method in class org.tensorflow.distruntime.RecvBufRequest
-
Optional information on client-side device locality.
- getClientLocalityOrBuilder() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
Optional information on client-side device locality.
- getClientLocalityOrBuilder() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Optional information on client-side device locality.
- getClientLocalityOrBuilder() - Method in class org.tensorflow.distruntime.RecvTensorRequest
-
Optional information on client-side device locality.
- getClientLocalityOrBuilder() - Method in interface org.tensorflow.distruntime.RecvTensorRequestOrBuilder
-
Optional information on client-side device locality.
- getCloseOpName() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
The operation to run to close the queue.
- getCloseOpName() - Method in class org.tensorflow.framework.QueueRunnerDef
-
The operation to run to close the queue.
- getCloseOpName() - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder
-
The operation to run to close the queue.
- getCloseOpNameBytes() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
The operation to run to close the queue.
- getCloseOpNameBytes() - Method in class org.tensorflow.framework.QueueRunnerDef
-
The operation to run to close the queue.
- getCloseOpNameBytes() - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder
-
The operation to run to close the queue.
- getCluster() - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
The cluster of which this server is a member.
- getCluster() - Method in class org.tensorflow.distruntime.ServerDef
-
The cluster of which this server is a member.
- getCluster() - Method in interface org.tensorflow.distruntime.ServerDefOrBuilder
-
The cluster of which this server is a member.
- getClusterBuilder() - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
The cluster of which this server is a member.
- getClusterDef() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Optional list of all workers to use in this session.
- getClusterDef() - Method in class org.tensorflow.framework.ConfigProto
-
Optional list of all workers to use in this session.
- getClusterDef() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
Optional list of all workers to use in this session.
- getClusterDefBuilder() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Optional list of all workers to use in this session.
- getClusterDefOrBuilder() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Optional list of all workers to use in this session.
- getClusterDefOrBuilder() - Method in class org.tensorflow.framework.ConfigProto
-
Optional list of all workers to use in this session.
- getClusterDefOrBuilder() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
Optional list of all workers to use in this session.
- getClusterOrBuilder() - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
The cluster of which this server is a member.
- getClusterOrBuilder() - Method in class org.tensorflow.distruntime.ServerDef
-
The cluster of which this server is a member.
- getClusterOrBuilder() - Method in interface org.tensorflow.distruntime.ServerDefOrBuilder
-
The cluster of which this server is a member.
- getCollectionDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
Deprecated.
- getCollectionDef() - Method in class org.tensorflow.framework.MetaGraphDef
-
Deprecated.
- getCollectionDef() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder
-
Deprecated.
- getCollectionDefCount() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
- getCollectionDefCount() - Method in class org.tensorflow.framework.MetaGraphDef
-
- getCollectionDefCount() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder
-
collection_def: Map from collection name to collections.
- getCollectionDefMap() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
collection_def: Map from collection name to collections.
- getCollectionDefMap() - Method in class org.tensorflow.framework.MetaGraphDef
-
collection_def: Map from collection name to collections.
- getCollectionDefMap() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder
-
collection_def: Map from collection name to collections.
- getCollectionDefOrDefault(String, CollectionDef) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
collection_def: Map from collection name to collections.
- getCollectionDefOrDefault(String, CollectionDef) - Method in class org.tensorflow.framework.MetaGraphDef
-
collection_def: Map from collection name to collections.
- getCollectionDefOrDefault(String, CollectionDef) - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder
-
collection_def: Map from collection name to collections.
- getCollectionDefOrThrow(String) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
collection_def: Map from collection name to collections.
- getCollectionDefOrThrow(String) - Method in class org.tensorflow.framework.MetaGraphDef
-
collection_def: Map from collection name to collections.
- getCollectionDefOrThrow(String) - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder
-
collection_def: Map from collection name to collections.
- getCollectiveGraphKey() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
If graph_def contains any collective ops this must be a positive
integer used to coordinate execution with other graphs.
- getCollectiveGraphKey() - Method in class org.tensorflow.distruntime.RegisterGraphRequest
-
If graph_def contains any collective ops this must be a positive
integer used to coordinate execution with other graphs.
- getCollectiveGraphKey() - Method in interface org.tensorflow.distruntime.RegisterGraphRequestOrBuilder
-
If graph_def contains any collective ops this must be a positive
integer used to coordinate execution with other graphs.
- getCollectiveGraphKey() - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder
-
If non-zero, declares that this graph is going to use collective
ops and must synchronize step_ids with any other graph with this
same group_key value (in a distributed computation where tasks
run disjoint graphs).
- getCollectiveGraphKey() - Method in class org.tensorflow.framework.RunOptions.Experimental
-
If non-zero, declares that this graph is going to use collective
ops and must synchronize step_ids with any other graph with this
same group_key value (in a distributed computation where tasks
run disjoint graphs).
- getCollectiveGraphKey() - Method in interface org.tensorflow.framework.RunOptions.ExperimentalOrBuilder
-
If non-zero, declares that this graph is going to use collective
ops and must synchronize step_ids with any other graph with this
same group_key value (in a distributed computation where tasks
run disjoint graphs).
- getCollectiveGroupLeader() - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder
-
Task name for group resolution.
- getCollectiveGroupLeader() - Method in class org.tensorflow.framework.ConfigProto.Experimental
-
Task name for group resolution.
- getCollectiveGroupLeader() - Method in interface org.tensorflow.framework.ConfigProto.ExperimentalOrBuilder
-
Task name for group resolution.
- getCollectiveGroupLeaderBytes() - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder
-
Task name for group resolution.
- getCollectiveGroupLeaderBytes() - Method in class org.tensorflow.framework.ConfigProto.Experimental
-
Task name for group resolution.
- getCollectiveGroupLeaderBytes() - Method in interface org.tensorflow.framework.ConfigProto.ExperimentalOrBuilder
-
Task name for group resolution.
- getColorspace() - Method in class org.tensorflow.framework.Summary.Image.Builder
-
Valid colorspace values are
1 - grayscale
2 - grayscale + alpha
3 - RGB
4 - RGBA
5 - DIGITAL_YUV
6 - BGRA
- getColorspace() - Method in class org.tensorflow.framework.Summary.Image
-
Valid colorspace values are
1 - grayscale
2 - grayscale + alpha
3 - RGB
4 - RGBA
5 - DIGITAL_YUV
6 - BGRA
- getColorspace() - Method in interface org.tensorflow.framework.Summary.ImageOrBuilder
-
Valid colorspace values are
1 - grayscale
2 - grayscale + alpha
3 - RGB
4 - RGBA
5 - DIGITAL_YUV
6 - BGRA
- getColumn(long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Get the specified column
- getColumn(long, boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getColumn(long) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getColumn(long, boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getColumn(long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the specified column.
- getColumn(long, boolean) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the specified column.
- getColumnNames() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- getColumnNames() - Method in class org.nd4j.linalg.dataset.DataSet
-
Deprecated.
- getColumns(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Get whole columns
from the passed indices.
- getColumns(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getColumns() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
-
- getColumns(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get an INDArray comprised of the specified columns only.
- getComplexStrides(int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the strides for the given order and shape
- getComplexStrides(long[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getComplexStrides(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the strides based on the shape
and NDArrays.order()
- getComplexStrides(long[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getCompressionType() - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
This method returns compression opType provided
by specific NDArrayCompressor implementation
- getCompressor(String) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
- getCompressor() - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method returns BasicNDArrayCompressor instance,
suitable for NDArray compression/decompression
at runtime
- getComputeCost() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Estimate of the computational cost of this node, in microseconds.
- getComputeCost() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
Estimate of the computational cost of this node, in microseconds.
- getComputeCost() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
Estimate of the computational cost of this node, in microseconds.
- getComputeTime() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Analytical estimate of the computational cost of this node, in
microseconds.
- getComputeTime() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
Analytical estimate of the computational cost of this node, in
microseconds.
- getComputeTime() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
Analytical estimate of the computational cost of this node, in
microseconds.
- getCondCtxt() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder
-
.tensorflow.CondContextDef cond_ctxt = 1;
- getCondCtxt() - Method in class org.tensorflow.framework.ControlFlowContextDef
-
.tensorflow.CondContextDef cond_ctxt = 1;
- getCondCtxt() - Method in interface org.tensorflow.framework.ControlFlowContextDefOrBuilder
-
.tensorflow.CondContextDef cond_ctxt = 1;
- getCondCtxtBuilder() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder
-
.tensorflow.CondContextDef cond_ctxt = 1;
- getCondCtxtOrBuilder() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder
-
.tensorflow.CondContextDef cond_ctxt = 1;
- getCondCtxtOrBuilder() - Method in class org.tensorflow.framework.ControlFlowContextDef
-
.tensorflow.CondContextDef cond_ctxt = 1;
- getCondCtxtOrBuilder() - Method in interface org.tensorflow.framework.ControlFlowContextDefOrBuilder
-
.tensorflow.CondContextDef cond_ctxt = 1;
- getConfig() - Method in interface org.nd4j.linalg.learning.GradientUpdater
-
- getConfig() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
-
Configuration options.
- getConfig() - Method in class org.tensorflow.distruntime.CreateSessionRequest
-
Configuration options.
- getConfig() - Method in interface org.tensorflow.distruntime.CreateSessionRequestOrBuilder
-
Configuration options.
- getConfigBuilder() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
-
Configuration options.
- getConfigOrBuilder() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
-
Configuration options.
- getConfigOrBuilder() - Method in class org.tensorflow.distruntime.CreateSessionRequest
-
Configuration options.
- getConfigOrBuilder() - Method in interface org.tensorflow.distruntime.CreateSessionRequestOrBuilder
-
Configuration options.
- getConfiguration(T) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr
-
- getConfiguration(T) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr
-
- getConfusionMatrix() - Method in class org.nd4j.evaluation.classification.Evaluation
-
Returns the confusion matrix variable
- getConfusionMatrixAtPoint(int) - Method in class org.nd4j.evaluation.curves.PrecisionRecallCurve
-
Get the binary confusion matrix for the given position.
- getConfusionMatrixAtThreshold(double) - Method in class org.nd4j.evaluation.curves.PrecisionRecallCurve
-
Get the binary confusion matrix for the given threshold.
- getConstantBuffer(boolean[], DataType) - Method in interface org.nd4j.linalg.cache.ConstantHandler
-
This method returns DataBuffer with
constant equal to input array.
- getConstantBuffer(int[], DataType) - Method in interface org.nd4j.linalg.cache.ConstantHandler
-
- getConstantBuffer(long[], DataType) - Method in interface org.nd4j.linalg.cache.ConstantHandler
-
This method returns DataBuffer with
constant equal to input array.
- getConstantBuffer(double[], DataType) - Method in interface org.nd4j.linalg.cache.ConstantHandler
-
This method returns DataBuffer with contant equal to input array.
- getConstantBuffer(float[], DataType) - Method in interface org.nd4j.linalg.cache.ConstantHandler
-
This method returns DataBuffer with contant equal to input array.
- getConstantFolding() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Fold constants (default is ON)
Statically infer the value of tensors when possible, and materialize the
result using constants.
- getConstantFolding() - Method in class org.tensorflow.framework.RewriterConfig
-
Fold constants (default is ON)
Statically infer the value of tensors when possible, and materialize the
result using constants.
- getConstantFolding() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
Fold constants (default is ON)
Statically infer the value of tensors when possible, and materialize the
result using constants.
- getConstantFoldingValue() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Fold constants (default is ON)
Statically infer the value of tensors when possible, and materialize the
result using constants.
- getConstantFoldingValue() - Method in class org.tensorflow.framework.RewriterConfig
-
Fold constants (default is ON)
Statically infer the value of tensors when possible, and materialize the
result using constants.
- getConstantFoldingValue() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
Fold constants (default is ON)
Statically infer the value of tensors when possible, and materialize the
result using constants.
- getConstantHandler() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getConstantOrVariable(String) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession
-
Get the constant or variable output - for example, constant array or constant shape.
- getConstantOrVariable(String) - Method in class org.nd4j.autodiff.samediff.internal.DataTypesSession
-
- getConstantOrVariable(String) - Method in class org.nd4j.autodiff.samediff.internal.InferenceSession
-
- getConstNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfo(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfoBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfoCount() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfoList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfoOrBuilder(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfoOrBuilderList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstraint(int) - Method in class org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraint(int) - Method in class org.tensorflow.framework.KernelDef
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraint(int) - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintBuilder(int) - Method in class org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintBuilderList() - Method in class org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintCount() - Method in class org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintCount() - Method in class org.tensorflow.framework.KernelDef
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintCount() - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintList() - Method in class org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintList() - Method in class org.tensorflow.framework.KernelDef
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintList() - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintOrBuilder(int) - Method in class org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintOrBuilder(int) - Method in class org.tensorflow.framework.KernelDef
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintOrBuilder(int) - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintOrBuilderList() - Method in class org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintOrBuilderList() - Method in class org.tensorflow.framework.KernelDef
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintOrBuilderList() - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getContainer(int) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder
-
A list of container names.
- getContainer(int) - Method in class org.tensorflow.distruntime.CleanupAllRequest
-
A list of container names.
- getContainer(int) - Method in interface org.tensorflow.distruntime.CleanupAllRequestOrBuilder
-
A list of container names.
- getContainer(int) - Method in class org.tensorflow.distruntime.ResetRequest.Builder
-
A list of container names, which may be empty.
- getContainer(int) - Method in class org.tensorflow.distruntime.ResetRequest
-
A list of container names, which may be empty.
- getContainer(int) - Method in interface org.tensorflow.distruntime.ResetRequestOrBuilder
-
A list of container names, which may be empty.
- getContainer() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Container in which this resource is placed.
- getContainer() - Method in class org.tensorflow.framework.ResourceHandleProto
-
Container in which this resource is placed.
- getContainer() - Method in interface org.tensorflow.framework.ResourceHandleProtoOrBuilder
-
Container in which this resource is placed.
- getContainerBytes(int) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder
-
A list of container names.
- getContainerBytes(int) - Method in class org.tensorflow.distruntime.CleanupAllRequest
-
A list of container names.
- getContainerBytes(int) - Method in interface org.tensorflow.distruntime.CleanupAllRequestOrBuilder
-
A list of container names.
- getContainerBytes(int) - Method in class org.tensorflow.distruntime.ResetRequest.Builder
-
A list of container names, which may be empty.
- getContainerBytes(int) - Method in class org.tensorflow.distruntime.ResetRequest
-
A list of container names, which may be empty.
- getContainerBytes(int) - Method in interface org.tensorflow.distruntime.ResetRequestOrBuilder
-
A list of container names, which may be empty.
- getContainerBytes() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Container in which this resource is placed.
- getContainerBytes() - Method in class org.tensorflow.framework.ResourceHandleProto
-
Container in which this resource is placed.
- getContainerBytes() - Method in interface org.tensorflow.framework.ResourceHandleProtoOrBuilder
-
Container in which this resource is placed.
- getContainerCount() - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder
-
A list of container names.
- getContainerCount() - Method in class org.tensorflow.distruntime.CleanupAllRequest
-
A list of container names.
- getContainerCount() - Method in interface org.tensorflow.distruntime.CleanupAllRequestOrBuilder
-
A list of container names.
- getContainerCount() - Method in class org.tensorflow.distruntime.ResetRequest.Builder
-
A list of container names, which may be empty.
- getContainerCount() - Method in class org.tensorflow.distruntime.ResetRequest
-
A list of container names, which may be empty.
- getContainerCount() - Method in interface org.tensorflow.distruntime.ResetRequestOrBuilder
-
A list of container names, which may be empty.
- getContainerList() - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder
-
A list of container names.
- getContainerList() - Method in class org.tensorflow.distruntime.CleanupAllRequest
-
A list of container names.
- getContainerList() - Method in interface org.tensorflow.distruntime.CleanupAllRequestOrBuilder
-
A list of container names.
- getContainerList() - Method in class org.tensorflow.distruntime.ResetRequest.Builder
-
A list of container names, which may be empty.
- getContainerList() - Method in class org.tensorflow.distruntime.ResetRequest
-
A list of container names, which may be empty.
- getContainerList() - Method in interface org.tensorflow.distruntime.ResetRequestOrBuilder
-
A list of container names, which may be empty.
- getContent() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
The content to store for the plugin.
- getContent() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData
-
The content to store for the plugin.
- getContent() - Method in interface org.tensorflow.framework.SummaryMetadata.PluginDataOrBuilder
-
The content to store for the plugin.
- getContentType() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
string content_type = 5;
- getContentType() - Method in class org.tensorflow.framework.Summary.Audio
-
string content_type = 5;
- getContentType() - Method in interface org.tensorflow.framework.Summary.AudioOrBuilder
-
string content_type = 5;
- getContentTypeBytes() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
string content_type = 5;
- getContentTypeBytes() - Method in class org.tensorflow.framework.Summary.Audio
-
string content_type = 5;
- getContentTypeBytes() - Method in interface org.tensorflow.framework.Summary.AudioOrBuilder
-
string content_type = 5;
- getContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
-
fixed64 context_id = 1;
- getContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
-
fixed64 context_id = 1;
- getContextId() - Method in interface tensorflow.eager.EagerServiceOuterClass.CloseContextRequestOrBuilder
-
fixed64 context_id = 1;
- getContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
The ID of the created context.
- getContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
-
The ID of the created context.
- getContextId() - Method in interface tensorflow.eager.EagerServiceOuterClass.CreateContextResponseOrBuilder
-
The ID of the created context.
- getContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
fixed64 context_id = 1;
- getContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
-
fixed64 context_id = 1;
- getContextId() - Method in interface tensorflow.eager.EagerServiceOuterClass.EnqueueRequestOrBuilder
-
fixed64 context_id = 1;
- getContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
-
fixed64 context_id = 1;
- getContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
-
fixed64 context_id = 1;
- getContextId() - Method in interface tensorflow.eager.EagerServiceOuterClass.KeepAliveRequestOrBuilder
-
fixed64 context_id = 1;
- getContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
-
fixed64 context_id = 1;
- getContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
-
fixed64 context_id = 1;
- getContextId() - Method in interface tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequestOrBuilder
-
fixed64 context_id = 1;
- getContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
-
fixed64 context_id = 1;
- getContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
-
fixed64 context_id = 1;
- getContextId() - Method in interface tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequestOrBuilder
-
fixed64 context_id = 1;
- getContextName() - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Name of the context.
- getContextName() - Method in class org.tensorflow.framework.CondContextDef
-
Name of the context.
- getContextName() - Method in interface org.tensorflow.framework.CondContextDefOrBuilder
-
Name of the context.
- getContextName() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Name of the context.
- getContextName() - Method in class org.tensorflow.framework.WhileContextDef
-
Name of the context.
- getContextName() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder
-
Name of the context.
- getContextNameBytes() - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Name of the context.
- getContextNameBytes() - Method in class org.tensorflow.framework.CondContextDef
-
Name of the context.
- getContextNameBytes() - Method in interface org.tensorflow.framework.CondContextDefOrBuilder
-
Name of the context.
- getContextNameBytes() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Name of the context.
- getContextNameBytes() - Method in class org.tensorflow.framework.WhileContextDef
-
Name of the context.
- getContextNameBytes() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder
-
Name of the context.
- getControlDependencies(NODE_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
Get the list of control dependencies for the current node (or null if none exist)
- getControlDependencies(OnnxProto3.NodeProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getControlDependencies(NodeDef) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getControlInput(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Ids of the control inputs for this node.
- getControlInput(int) - Method in class org.tensorflow.framework.CostGraphDef.Node
-
Ids of the control inputs for this node.
- getControlInput(int) - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
Ids of the control inputs for this node.
- getControlInputCount() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Ids of the control inputs for this node.
- getControlInputCount() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
Ids of the control inputs for this node.
- getControlInputCount() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
Ids of the control inputs for this node.
- getControlInputList() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Ids of the control inputs for this node.
- getControlInputList() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
Ids of the control inputs for this node.
- getControlInputList() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
Ids of the control inputs for this node.
- getControlOpIds(int) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
Control Operation IDs that will be respected when ops are re-ordered by
async execution.
- getControlOpIds(int) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation
-
Control Operation IDs that will be respected when ops are re-ordered by
async execution.
- getControlOpIds(int) - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
Control Operation IDs that will be respected when ops are re-ordered by
async execution.
- getControlOpIdsCount() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
Control Operation IDs that will be respected when ops are re-ordered by
async execution.
- getControlOpIdsCount() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation
-
Control Operation IDs that will be respected when ops are re-ordered by
async execution.
- getControlOpIdsCount() - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
Control Operation IDs that will be respected when ops are re-ordered by
async execution.
- getControlOpIdsList() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
Control Operation IDs that will be respected when ops are re-ordered by
async execution.
- getControlOpIdsList() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation
-
Control Operation IDs that will be respected when ops are re-ordered by
async execution.
- getControlOpIdsList() - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
Control Operation IDs that will be respected when ops are re-ordered by
async execution.
- getConvolution() - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the convolution singleton
- getCooSparse() - Method in class org.tensorflow.framework.TensorInfo.Builder
-
There are many possible encodings of sparse matrices
(https://en.wikipedia.org/wiki/Sparse_matrix).
- getCooSparse() - Method in class org.tensorflow.framework.TensorInfo
-
There are many possible encodings of sparse matrices
(https://en.wikipedia.org/wiki/Sparse_matrix).
- getCooSparse() - Method in interface org.tensorflow.framework.TensorInfoOrBuilder
-
There are many possible encodings of sparse matrices
(https://en.wikipedia.org/wiki/Sparse_matrix).
- getCooSparseBuilder() - Method in class org.tensorflow.framework.TensorInfo.Builder
-
There are many possible encodings of sparse matrices
(https://en.wikipedia.org/wiki/Sparse_matrix).
- getCooSparseOrBuilder() - Method in class org.tensorflow.framework.TensorInfo.Builder
-
There are many possible encodings of sparse matrices
(https://en.wikipedia.org/wiki/Sparse_matrix).
- getCooSparseOrBuilder() - Method in class org.tensorflow.framework.TensorInfo
-
There are many possible encodings of sparse matrices
(https://en.wikipedia.org/wiki/Sparse_matrix).
- getCooSparseOrBuilder() - Method in interface org.tensorflow.framework.TensorInfoOrBuilder
-
There are many possible encodings of sparse matrices
(https://en.wikipedia.org/wiki/Sparse_matrix).
- getCostGraph() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
.tensorflow.CostGraphDef cost_graph = 3;
- getCostGraph() - Method in class org.tensorflow.distruntime.RunGraphResponse
-
.tensorflow.CostGraphDef cost_graph = 3;
- getCostGraph() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
.tensorflow.CostGraphDef cost_graph = 3;
- getCostGraph() - Method in class org.tensorflow.framework.RunMetadata.Builder
-
The cost graph for the computation defined by the run call.
- getCostGraph() - Method in class org.tensorflow.framework.RunMetadata
-
The cost graph for the computation defined by the run call.
- getCostGraph() - Method in interface org.tensorflow.framework.RunMetadataOrBuilder
-
The cost graph for the computation defined by the run call.
- getCostGraphBuilder() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
.tensorflow.CostGraphDef cost_graph = 3;
- getCostGraphBuilder() - Method in class org.tensorflow.framework.RunMetadata.Builder
-
The cost graph for the computation defined by the run call.
- getCostGraphOrBuilder() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
.tensorflow.CostGraphDef cost_graph = 3;
- getCostGraphOrBuilder() - Method in class org.tensorflow.distruntime.RunGraphResponse
-
.tensorflow.CostGraphDef cost_graph = 3;
- getCostGraphOrBuilder() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
.tensorflow.CostGraphDef cost_graph = 3;
- getCostGraphOrBuilder() - Method in class org.tensorflow.framework.RunMetadata.Builder
-
The cost graph for the computation defined by the run call.
- getCostGraphOrBuilder() - Method in class org.tensorflow.framework.RunMetadata
-
The cost graph for the computation defined by the run call.
- getCostGraphOrBuilder() - Method in interface org.tensorflow.framework.RunMetadataOrBuilder
-
The cost graph for the computation defined by the run call.
- getCount(T, T) - Method in class org.nd4j.evaluation.classification.ConfusionMatrix
-
Gives the count of the number of times the "predicted" class was predicted for the "actual"
class.
- getCount(String) - Method in class org.nd4j.linalg.profiler.data.StringCounter
-
- getCountActualNegative(int) - Method in class org.nd4j.evaluation.classification.ROCBinary
-
Get the actual negative count (accounting for any masking) for the specified output/column
- getCountActualNegative(int) - Method in class org.nd4j.evaluation.classification.ROCMultiClass
-
Get the actual negative count (accounting for any masking) for the specified output/column
- getCountActualPositive(int) - Method in class org.nd4j.evaluation.classification.ROCBinary
-
Get the actual positive count (accounting for any masking) for the specified output/column
- getCountActualPositive(int) - Method in class org.nd4j.evaluation.classification.ROCMultiClass
-
Get the actual positive count (accounting for any masking) for the specified class
- getCovarianceMatrix() - Method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
- getCrc32C() - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
The CRC32C checksum of the tensor bytes.
- getCrc32C() - Method in class org.tensorflow.util.BundleEntryProto
-
The CRC32C checksum of the tensor bytes.
- getCrc32C() - Method in interface org.tensorflow.util.BundleEntryProtoOrBuilder
-
The CRC32C checksum of the tensor bytes.
- getCreateWorkerSessionCalled() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
Set to true if `CreateWorkerSession` was called for `session_handle`.
- getCreateWorkerSessionCalled() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest
-
Set to true if `CreateWorkerSession` was called for `session_handle`.
- getCreateWorkerSessionCalled() - Method in interface org.tensorflow.distruntime.DeregisterGraphRequestOrBuilder
-
Set to true if `CreateWorkerSession` was called for `session_handle`.
- getCreateWorkerSessionCalled() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Set to true if `CreateWorkerSession` was called for `session_handle`.
- getCreateWorkerSessionCalled() - Method in class org.tensorflow.distruntime.RegisterGraphRequest
-
Set to true if `CreateWorkerSession` was called for `session_handle`.
- getCreateWorkerSessionCalled() - Method in interface org.tensorflow.distruntime.RegisterGraphRequestOrBuilder
-
Set to true if `CreateWorkerSession` was called for `session_handle`.
- getCreateWorkerSessionCalled() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
Set to true if `CreateWorkerSession` was called for `session_handle`.
- getCreateWorkerSessionCalled() - Method in class org.tensorflow.distruntime.RunGraphRequest
-
Set to true if `CreateWorkerSession` was called for `session_handle`.
- getCreateWorkerSessionCalled() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
Set to true if `CreateWorkerSession` was called for `session_handle`.
- getCriticalSectionName() - Method in class org.tensorflow.framework.CriticalSectionDef.Builder
-
Name of the critical section handle.
- getCriticalSectionName() - Method in class org.tensorflow.framework.CriticalSectionDef
-
Name of the critical section handle.
- getCriticalSectionName() - Method in interface org.tensorflow.framework.CriticalSectionDefOrBuilder
-
Name of the critical section handle.
- getCriticalSectionNameBytes() - Method in class org.tensorflow.framework.CriticalSectionDef.Builder
-
Name of the critical section handle.
- getCriticalSectionNameBytes() - Method in class org.tensorflow.framework.CriticalSectionDef
-
Name of the critical section handle.
- getCriticalSectionNameBytes() - Method in interface org.tensorflow.framework.CriticalSectionDefOrBuilder
-
Name of the critical section handle.
- getCtxtCase() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder
-
- getCtxtCase() - Method in class org.tensorflow.framework.ControlFlowContextDef
-
- getCtxtCase() - Method in interface org.tensorflow.framework.ControlFlowContextDefOrBuilder
-
- getCurrentBandwidth() - Method in class org.nd4j.linalg.api.ops.performance.PerformanceTracker
-
- getCurrentGraphVersion() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
REQUIRED: The version number of the graph to be extended.
- getCurrentGraphVersion() - Method in class org.tensorflow.distruntime.ExtendSessionRequest
-
REQUIRED: The version number of the graph to be extended.
- getCurrentGraphVersion() - Method in interface org.tensorflow.distruntime.ExtendSessionRequestOrBuilder
-
REQUIRED: The version number of the graph to be extended.
- getCurrentOffset() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
- getCurrentOffset() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- getCurrentSize() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This methos returns current allocated size of this workspace
- getCurrentSize() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns current amount of memory allocated for workspace.
- getCurrentWork() - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
bytes current_work = 4;
- getCurrentWork() - Method in class org.tensorflow.framework.ReaderBaseState
-
bytes current_work = 4;
- getCurrentWork() - Method in interface org.tensorflow.framework.ReaderBaseStateOrBuilder
-
bytes current_work = 4;
- getCurrentWorkspace() - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- getCurrentWorkspace() - Method in interface org.nd4j.linalg.memory.MemoryManager
-
- getCustomOperations() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- getCustomOperations() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method returns names of all custom operations available in current backend, and their number of input/output arguments
- getCustomOptimizers(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizers(int) - Method in class org.tensorflow.framework.RewriterConfig
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizers(int) - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizersBuilder(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizersBuilderList() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizersCount() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizersCount() - Method in class org.tensorflow.framework.RewriterConfig
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizersCount() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizersList() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizersList() - Method in class org.tensorflow.framework.RewriterConfig
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizersList() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizersOrBuilder(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizersOrBuilder(int) - Method in class org.tensorflow.framework.RewriterConfig
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizersOrBuilder(int) - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizersOrBuilderList() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizersOrBuilderList() - Method in class org.tensorflow.framework.RewriterConfig
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizersOrBuilderList() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
list of CustomGraphOptimizers to apply.
- getCyclesCount() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- getData() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
bytes data = 4;
- getData() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo
-
bytes data = 4;
- getData() - Method in interface org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder
-
bytes data = 4;
- getDataBufferFactory() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getDataType() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
The data type of the tensor.
- getDataType() - Method in class onnx.OnnxMlProto3.TensorProto
-
The data type of the tensor.
- getDataType() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
The data type of the tensor.
- getDataType() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
The data type of the tensor.
- getDataType() - Method in class onnx.OnnxProto3.TensorProto
-
The data type of the tensor.
- getDataType() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
The data type of the tensor.
- getDataType() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
.tensorflow.DataType data_type = 3;
- getDataType() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest
-
.tensorflow.DataType data_type = 3;
- getDataType() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
.tensorflow.DataType data_type = 3;
- getDataTypeAsByte(DataType) - Static method in class org.nd4j.autodiff.samediff.serde.FlatBuffersMapper
-
This method converts enums for DataType
- getDataTypeFromByte(byte) - Static method in class org.nd4j.autodiff.samediff.serde.FlatBuffersMapper
-
This method converts enums for DataType
- getDataTypeValue() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
The data type of the tensor.
- getDataTypeValue() - Method in class onnx.OnnxMlProto3.TensorProto
-
The data type of the tensor.
- getDataTypeValue() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
The data type of the tensor.
- getDataTypeValue() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
The data type of the tensor.
- getDataTypeValue() - Method in class onnx.OnnxProto3.TensorProto
-
The data type of the tensor.
- getDataTypeValue() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
The data type of the tensor.
- getDataTypeValue() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
.tensorflow.DataType data_type = 3;
- getDataTypeValue() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest
-
.tensorflow.DataType data_type = 3;
- getDataTypeValue() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
.tensorflow.DataType data_type = 3;
- getDcomplexVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX128.
- getDcomplexVal(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_COMPLEX128.
- getDcomplexVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_COMPLEX128.
- getDcomplexValCount() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX128.
- getDcomplexValCount() - Method in class org.tensorflow.framework.TensorProto
-
DT_COMPLEX128.
- getDcomplexValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_COMPLEX128.
- getDcomplexValList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX128.
- getDcomplexValList() - Method in class org.tensorflow.framework.TensorProto
-
DT_COMPLEX128.
- getDcomplexValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_COMPLEX128.
- getDeallocatorService() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getDebugMode() - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
- getDebugOps(int) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
Name(s) of the debugging op(s).
- getDebugOps(int) - Method in class org.tensorflow.framework.DebugTensorWatch
-
Name(s) of the debugging op(s).
- getDebugOps(int) - Method in interface org.tensorflow.framework.DebugTensorWatchOrBuilder
-
Name(s) of the debugging op(s).
- getDebugOpsBytes(int) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
Name(s) of the debugging op(s).
- getDebugOpsBytes(int) - Method in class org.tensorflow.framework.DebugTensorWatch
-
Name(s) of the debugging op(s).
- getDebugOpsBytes(int) - Method in interface org.tensorflow.framework.DebugTensorWatchOrBuilder
-
Name(s) of the debugging op(s).
- getDebugOpsCount() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
Name(s) of the debugging op(s).
- getDebugOpsCount() - Method in class org.tensorflow.framework.DebugTensorWatch
-
Name(s) of the debugging op(s).
- getDebugOpsCount() - Method in interface org.tensorflow.framework.DebugTensorWatchOrBuilder
-
Name(s) of the debugging op(s).
- getDebugOpsList() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
Name(s) of the debugging op(s).
- getDebugOpsList() - Method in class org.tensorflow.framework.DebugTensorWatch
-
Name(s) of the debugging op(s).
- getDebugOpsList() - Method in interface org.tensorflow.framework.DebugTensorWatchOrBuilder
-
Name(s) of the debugging op(s).
- getDebugOptions() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Field(s) used by TensorFlow Debugger (tfdbg).
- getDebugOptions() - Method in class org.tensorflow.distruntime.RegisterGraphRequest
-
Field(s) used by TensorFlow Debugger (tfdbg).
- getDebugOptions() - Method in interface org.tensorflow.distruntime.RegisterGraphRequestOrBuilder
-
Field(s) used by TensorFlow Debugger (tfdbg).
- getDebugOptions() - Method in class org.tensorflow.framework.RunOptions.Builder
-
EXPERIMENTAL.
- getDebugOptions() - Method in class org.tensorflow.framework.RunOptions
-
EXPERIMENTAL.
- getDebugOptions() - Method in interface org.tensorflow.framework.RunOptionsOrBuilder
-
EXPERIMENTAL.
- getDebugOptionsBuilder() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Field(s) used by TensorFlow Debugger (tfdbg).
- getDebugOptionsBuilder() - Method in class org.tensorflow.framework.RunOptions.Builder
-
EXPERIMENTAL.
- getDebugOptionsOrBuilder() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Field(s) used by TensorFlow Debugger (tfdbg).
- getDebugOptionsOrBuilder() - Method in class org.tensorflow.distruntime.RegisterGraphRequest
-
Field(s) used by TensorFlow Debugger (tfdbg).
- getDebugOptionsOrBuilder() - Method in interface org.tensorflow.distruntime.RegisterGraphRequestOrBuilder
-
Field(s) used by TensorFlow Debugger (tfdbg).
- getDebugOptionsOrBuilder() - Method in class org.tensorflow.framework.RunOptions.Builder
-
EXPERIMENTAL.
- getDebugOptionsOrBuilder() - Method in class org.tensorflow.framework.RunOptions
-
EXPERIMENTAL.
- getDebugOptionsOrBuilder() - Method in interface org.tensorflow.framework.RunOptionsOrBuilder
-
EXPERIMENTAL.
- getDebugStripper() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Strips debug-related nodes from the graph (off by default).
- getDebugStripper() - Method in class org.tensorflow.framework.RewriterConfig
-
Strips debug-related nodes from the graph (off by default).
- getDebugStripper() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
Strips debug-related nodes from the graph (off by default).
- getDebugStripperValue() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Strips debug-related nodes from the graph (off by default).
- getDebugStripperValue() - Method in class org.tensorflow.framework.RewriterConfig
-
Strips debug-related nodes from the graph (off by default).
- getDebugStripperValue() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
Strips debug-related nodes from the graph (off by default).
- getDebugTensorWatchOpts(int) - Method in class org.tensorflow.framework.DebugOptions.Builder
-
Debugging options
- getDebugTensorWatchOpts(int) - Method in class org.tensorflow.framework.DebugOptions
-
Debugging options
- getDebugTensorWatchOpts(int) - Method in interface org.tensorflow.framework.DebugOptionsOrBuilder
-
Debugging options
- getDebugTensorWatchOptsBuilder(int) - Method in class org.tensorflow.framework.DebugOptions.Builder
-
Debugging options
- getDebugTensorWatchOptsBuilderList() - Method in class org.tensorflow.framework.DebugOptions.Builder
-
Debugging options
- getDebugTensorWatchOptsCount() - Method in class org.tensorflow.framework.DebugOptions.Builder
-
Debugging options
- getDebugTensorWatchOptsCount() - Method in class org.tensorflow.framework.DebugOptions
-
Debugging options
- getDebugTensorWatchOptsCount() - Method in interface org.tensorflow.framework.DebugOptionsOrBuilder
-
Debugging options
- getDebugTensorWatchOptsList() - Method in class org.tensorflow.framework.DebugOptions.Builder
-
Debugging options
- getDebugTensorWatchOptsList() - Method in class org.tensorflow.framework.DebugOptions
-
Debugging options
- getDebugTensorWatchOptsList() - Method in interface org.tensorflow.framework.DebugOptionsOrBuilder
-
Debugging options
- getDebugTensorWatchOptsOrBuilder(int) - Method in class org.tensorflow.framework.DebugOptions.Builder
-
Debugging options
- getDebugTensorWatchOptsOrBuilder(int) - Method in class org.tensorflow.framework.DebugOptions
-
Debugging options
- getDebugTensorWatchOptsOrBuilder(int) - Method in interface org.tensorflow.framework.DebugOptionsOrBuilder
-
Debugging options
- getDebugTensorWatchOptsOrBuilderList() - Method in class org.tensorflow.framework.DebugOptions.Builder
-
Debugging options
- getDebugTensorWatchOptsOrBuilderList() - Method in class org.tensorflow.framework.DebugOptions
-
Debugging options
- getDebugTensorWatchOptsOrBuilderList() - Method in interface org.tensorflow.framework.DebugOptionsOrBuilder
-
Debugging options
- getDebugUrls(int) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
URL(s) for debug targets(s).
- getDebugUrls(int) - Method in class org.tensorflow.framework.DebugTensorWatch
-
URL(s) for debug targets(s).
- getDebugUrls(int) - Method in interface org.tensorflow.framework.DebugTensorWatchOrBuilder
-
URL(s) for debug targets(s).
- getDebugUrlsBytes(int) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
URL(s) for debug targets(s).
- getDebugUrlsBytes(int) - Method in class org.tensorflow.framework.DebugTensorWatch
-
URL(s) for debug targets(s).
- getDebugUrlsBytes(int) - Method in interface org.tensorflow.framework.DebugTensorWatchOrBuilder
-
URL(s) for debug targets(s).
- getDebugUrlsCount() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
URL(s) for debug targets(s).
- getDebugUrlsCount() - Method in class org.tensorflow.framework.DebugTensorWatch
-
URL(s) for debug targets(s).
- getDebugUrlsCount() - Method in interface org.tensorflow.framework.DebugTensorWatchOrBuilder
-
URL(s) for debug targets(s).
- getDebugUrlsList() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
URL(s) for debug targets(s).
- getDebugUrlsList() - Method in class org.tensorflow.framework.DebugTensorWatch
-
URL(s) for debug targets(s).
- getDebugUrlsList() - Method in interface org.tensorflow.framework.DebugTensorWatchOrBuilder
-
URL(s) for debug targets(s).
- getDefault() - Static method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializer
-
Get the default serializer configured with strategies for the built-in normalizer implementations
- getDefaultCompression() - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
Get the default compression algorithm as a string.
- getDefaultGraphInputTensorShape(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShape(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShape(int) - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShapeBuilder(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShapeBuilderList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShapeCount() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShapeCount() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShapeCount() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShapeList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShapeList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShapeList() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShapeOrBuilder(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShapeOrBuilder(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShapeOrBuilder(int) - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShapeOrBuilderList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShapeOrBuilderList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShapeOrBuilderList() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphOutputTensorShape(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShape(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShape(int) - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShapeBuilder(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShapeBuilderList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShapeCount() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShapeCount() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShapeCount() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShapeList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShapeList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShapeList() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShapeOrBuilder(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShapeOrBuilder(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShapeOrBuilder(int) - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShapeOrBuilderList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShapeOrBuilderList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShapeOrBuilderList() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.AttributeProto
-
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.GraphProto
-
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.ModelProto
-
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.NodeProto
-
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.OperatorSetIdProto
-
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.StringStringEntryProto
-
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.TensorProto
-
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.TensorProto.Segment
-
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
-
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.TensorShapeProto
-
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.TypeProto
-
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.TypeProto.Map
-
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.TypeProto.Sequence
-
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.TypeProto.Tensor
-
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.ValueInfoProto
-
- getDefaultInstance() - Static method in class onnx.OnnxOperatorsProto3.OperatorProto
-
- getDefaultInstance() - Static method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
- getDefaultInstance() - Static method in class onnx.OnnxProto3.AttributeProto
-
- getDefaultInstance() - Static method in class onnx.OnnxProto3.GraphProto
-
- getDefaultInstance() - Static method in class onnx.OnnxProto3.ModelProto
-
- getDefaultInstance() - Static method in class onnx.OnnxProto3.NodeProto
-
- getDefaultInstance() - Static method in class onnx.OnnxProto3.OperatorSetIdProto
-
- getDefaultInstance() - Static method in class onnx.OnnxProto3.StringStringEntryProto
-
- getDefaultInstance() - Static method in class onnx.OnnxProto3.TensorProto
-
- getDefaultInstance() - Static method in class onnx.OnnxProto3.TensorProto.Segment
-
- getDefaultInstance() - Static method in class onnx.OnnxProto3.TensorShapeProto.Dimension
-
- getDefaultInstance() - Static method in class onnx.OnnxProto3.TensorShapeProto
-
- getDefaultInstance() - Static method in class onnx.OnnxProto3.TypeProto
-
- getDefaultInstance() - Static method in class onnx.OnnxProto3.TypeProto.Tensor
-
- getDefaultInstance() - Static method in class onnx.OnnxProto3.ValueInfoProto
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.CleanupAllRequest
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.CleanupAllResponse
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.CleanupGraphRequest
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.CleanupGraphResponse
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.CloseSessionRequest
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.CloseSessionResponse
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.ClusterDef
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.CompleteGroupRequest
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.CompleteGroupResponse
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.CompleteInstanceRequest
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.CompleteInstanceResponse
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.CreateSessionRequest
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.CreateSessionResponse
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.CreateWorkerSessionRequest
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.CreateWorkerSessionResponse
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.DeregisterGraphRequest
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.DeregisterGraphResponse
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.ExecutorOpts
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.ExtendSessionRequest
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.ExtendSessionResponse
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.GetStatusRequest
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.GetStatusResponse
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.GetStepSequenceRequest
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.GetStepSequenceResponse
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.JobDef
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.LabeledStepStats
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.ListDevicesRequest
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.ListDevicesResponse
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.LoggingRequest
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.LoggingResponse
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.MakeCallableRequest
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.MakeCallableResponse
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.PartialRunSetupRequest
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.PartialRunSetupResponse
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.RecvBufRequest
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.RecvBufResponse
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.RecvTensorRequest
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.RecvTensorResponse
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.RegisterGraphRequest
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.RegisterGraphResponse
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.ReleaseCallableRequest
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.ReleaseCallableResponse
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.ResetRequest
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.ResetResponse
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.RunCallableRequest
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.RunCallableResponse
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.RunGraphRequest
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.RunGraphResponse
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.RunStepRequest
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.RunStepResponse
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.ServerDef
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.StepSequence
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.TraceOpts
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.TracingRequest
-
- getDefaultInstance() - Static method in class org.tensorflow.distruntime.TracingResponse
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.AllocationDescription
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.AllocationRecord
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.AllocatorMemoryUsed
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.ApiDef.Arg
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.ApiDef.Attr
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.ApiDef.Endpoint
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.ApiDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.ApiDefs
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.AssetFileDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.AttrValue
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.AttrValue.ListValue
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.AutoParallelOptions
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.CallableOptions
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.CollectionDef.AnyList
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.CollectionDef.BytesList
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.CollectionDef.FloatList
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.CollectionDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.CollectionDef.Int64List
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.CollectionDef.NodeList
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.CondContextDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.ConfigProto.Experimental
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.ConfigProto
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.ControlFlowContextDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.CostGraphDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.CostGraphDef.Node
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.CriticalSectionDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.CriticalSectionExecutionDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.DebuggedSourceFile
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.DebuggedSourceFiles
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.DebugOptions
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.DebugTensorWatch
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.DeviceAttributes
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.DeviceLocality
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.DeviceStepStats
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.FunctionDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.FunctionDefLibrary
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.GPUOptions.Experimental
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.GPUOptions
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.GradientDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.GraphDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.GraphOptions
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.GraphTransferConstNodeInfo
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.GraphTransferInfo
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.GraphTransferNodeInfo
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.GraphTransferNodeInput
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.GraphTransferNodeInputInfo
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.GraphTransferNodeOutputInfo
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.HistogramProto
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.InterconnectLink
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.KernelDef.AttrConstraint
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.KernelDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.LocalLinks
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.MemoryLogRawAllocation
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.MemoryLogRawDeallocation
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.MemoryLogStep
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.MemoryLogTensorAllocation
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.MemoryLogTensorDeallocation
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.MemoryLogTensorOutput
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.MemoryStats
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.MetaGraphDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.NameAttrList
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.NamedTensorProto
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.NodeDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.NodeExecStats
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.NodeOutput
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.OpDef.ArgDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.OpDef.AttrDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.OpDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.OpDeprecation
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.OpList
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.OptimizerOptions
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.QueueRunnerDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.ReaderBaseState
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.ResourceHandleProto
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.RewriterConfig
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.RPCOptions
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.RunMetadata
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.RunOptions.Experimental
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.RunOptions
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.SavedModel
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.SaveSliceInfoDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.ScopedAllocatorOptions
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.SignatureDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.StepStats
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.Summary.Audio
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.Summary
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.Summary.Image
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.Summary.Value
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.SummaryDescription
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.SummaryMetadata
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.SummaryMetadata.PluginData
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.TensorConnection
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.TensorDescription
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.TensorInfo.CooSparse
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.TensorInfo
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.TensorProto
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.TensorShapeProto.Dim
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.TensorShapeProto
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.TensorSliceProto.Extent
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.TensorSliceProto
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.ThreadPoolOptionProto
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.ValuesDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.VariableDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.VariantTensorDataProto
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.VersionDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.WhileContextDef
-
- getDefaultInstance() - Static method in class org.tensorflow.util.BundleEntryProto
-
- getDefaultInstance() - Static method in class org.tensorflow.util.BundleHeaderProto
-
- getDefaultInstance() - Static method in class org.tensorflow.util.IteratorStateMetadata
-
- getDefaultInstance() - Static method in class org.tensorflow.util.SaverDef
-
- getDefaultInstance() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
- getDefaultInstance() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
-
- getDefaultInstance() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
-
- getDefaultInstance() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
-
- getDefaultInstance() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
-
- getDefaultInstance() - Static method in class tensorflow.DevicePropertiesProtos.DeviceProperties
-
- getDefaultInstance() - Static method in class tensorflow.DevicePropertiesProtos.NamedDevice
-
- getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
-
- getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
-
- getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
-
- getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
-
- getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
-
- getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
-
- getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
-
- getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
-
- getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.Operation
-
- getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.QueueItem
-
- getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
-
- getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
-
- getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
-
- getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
-
- getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
-
- getDefaultInstance() - Static method in class tensorflow.TransportOptions.RecvBufRespExtra
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.AttributeProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.GraphProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.ModelProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.NodeProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.StringStringEntryProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TensorProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TensorProto.Segment
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TensorShapeProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TypeProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TypeProto.Map
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.ValueInfoProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxOperatorsProto3.OperatorProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.AttributeProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.GraphProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.ModelProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.NodeProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.OperatorSetIdProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.StringStringEntryProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.TensorProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.TensorProto.Segment
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.TensorShapeProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.TypeProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.TypeProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.TypeProto.Tensor
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.ValueInfoProto
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CleanupAllRequest
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CleanupAllResponse
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CleanupGraphRequest
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CleanupGraphResponse
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CloseSessionRequest
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CloseSessionResponse
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ClusterDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ClusterDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CompleteGroupRequest
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CompleteGroupResponse
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CreateSessionRequest
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CreateSessionResponse
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.DeregisterGraphResponse
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ExecutorOpts
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ExtendSessionRequest
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ExtendSessionResponse
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.GetStatusRequest
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.GetStatusResponse
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.JobDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.JobDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.LabeledStepStats
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ListDevicesRequest
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ListDevicesResponse
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.LoggingRequest
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.LoggingResponse
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.MakeCallableRequest
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.MakeCallableResponse
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RecvBufRequest
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RecvBufResponse
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RecvTensorRequest
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RecvTensorResponse
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RegisterGraphRequest
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RegisterGraphResponse
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ReleaseCallableResponse
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ResetRequest.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ResetRequest
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ResetResponse.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ResetResponse
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RunCallableRequest
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RunCallableResponse
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RunGraphRequest
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RunGraphResponse
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RunStepRequest
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RunStepResponse
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ServerDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.StepSequence.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.StepSequence
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.TraceOpts.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.TraceOpts
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.TracingRequest.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.TracingRequest
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.TracingResponse.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.TracingResponse
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.AllocationDescription
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.AllocationRecord
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDef.Arg
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDef.Attr
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDef.Endpoint
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDefs.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDefs
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.AssetFileDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.AssetFileDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.AttrValue.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.AttrValue
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.AutoParallelOptions.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.AutoParallelOptions
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CallableOptions.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CallableOptions
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CollectionDef.AnyList
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CollectionDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CollectionDef.BytesList
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CollectionDef.FloatList
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CollectionDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CollectionDef.Int64List
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CollectionDef.NodeList
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CondContextDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CondContextDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ConfigProto.Experimental
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ConfigProto
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ControlFlowContextDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CostGraphDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CriticalSectionDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CriticalSectionDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.DebuggedSourceFile
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.DebuggedSourceFiles
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.DebugOptions.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.DebugOptions
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.DebugTensorWatch
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.DeviceAttributes
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.DeviceLocality
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.DeviceStepStats
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.FunctionDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.FunctionDefLibrary
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GPUOptions.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GPUOptions.Experimental
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GPUOptions
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GradientDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GradientDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphOptions.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphOptions
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferInfo
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferNodeInfo
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferNodeInput
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.HistogramProto
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.InterconnectLink.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.InterconnectLink
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.KernelDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.KernelDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.LocalLinks.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.LocalLinks
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogRawAllocation
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogStep
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogTensorOutput
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryStats
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MetaGraphDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.NameAttrList.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.NameAttrList
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.NamedTensorProto.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.NamedTensorProto
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.NodeDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.NodeDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.NodeExecStats
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.NodeOutput.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.NodeOutput
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpDeprecation
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpList.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpList
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.OptimizerOptions
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.QueueRunnerDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ReaderBaseState
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ResourceHandleProto
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.RewriterConfig
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.RPCOptions.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.RPCOptions
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.RunMetadata.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.RunMetadata
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.RunOptions.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.RunOptions.Experimental
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.RunOptions
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.SavedModel.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.SavedModel
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ScopedAllocatorOptions
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.SignatureDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.SignatureDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.StepStats.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.StepStats
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.Summary.Audio
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.Summary.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.Summary
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.Summary.Image.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.Summary.Image
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.Summary.Value
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.SummaryDescription
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.SummaryMetadata
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorConnection.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorConnection
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorDescription
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorInfo.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorInfo.CooSparse
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorInfo
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorProto.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorProto
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorShapeProto.Dim
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorShapeProto
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorSliceProto.Extent
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorSliceProto
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ThreadPoolOptionProto
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ValuesDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ValuesDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.VariableDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.VariableDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.VariantTensorDataProto
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.VersionDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.VersionDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.WhileContextDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.util.BundleEntryProto
-
- getDefaultInstanceForType() - Method in class org.tensorflow.util.BundleHeaderProto.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.util.BundleHeaderProto
-
- getDefaultInstanceForType() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.util.IteratorStateMetadata
-
- getDefaultInstanceForType() - Method in class org.tensorflow.util.SaverDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.util.SaverDef
-
- getDefaultInstanceForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
-
- getDefaultInstanceForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
- getDefaultInstanceForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
- getDefaultInstanceForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
-
- getDefaultInstanceForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
-
- getDefaultInstanceForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
- getDefaultInstanceForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
-
- getDefaultInstanceForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
-
- getDefaultInstanceForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
-
- getDefaultInstanceForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
-
- getDefaultInstanceForType() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
- getDefaultInstanceForType() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties
-
- getDefaultInstanceForType() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder
-
- getDefaultInstanceForType() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
-
- getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
-
- getDefaultInstanceForType() - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder
-
- getDefaultInstanceForType() - Method in class tensorflow.TransportOptions.RecvBufRespExtra
-
- getDefaultSessionConfig() - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
The default configuration for sessions that run on this server.
- getDefaultSessionConfig() - Method in class org.tensorflow.distruntime.ServerDef
-
The default configuration for sessions that run on this server.
- getDefaultSessionConfig() - Method in interface org.tensorflow.distruntime.ServerDefOrBuilder
-
The default configuration for sessions that run on this server.
- getDefaultSessionConfigBuilder() - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
The default configuration for sessions that run on this server.
- getDefaultSessionConfigOrBuilder() - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
The default configuration for sessions that run on this server.
- getDefaultSessionConfigOrBuilder() - Method in class org.tensorflow.distruntime.ServerDef
-
The default configuration for sessions that run on this server.
- getDefaultSessionConfigOrBuilder() - Method in interface org.tensorflow.distruntime.ServerDefOrBuilder
-
The default configuration for sessions that run on this server.
- getDefaultValue() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Specify a new default value to use for this attr.
- getDefaultValue() - Method in class org.tensorflow.framework.ApiDef.Attr
-
Specify a new default value to use for this attr.
- getDefaultValue() - Method in interface org.tensorflow.framework.ApiDef.AttrOrBuilder
-
Specify a new default value to use for this attr.
- getDefaultValue() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
A reasonable default for this attribute if the user does not supply
a value.
- getDefaultValue() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
A reasonable default for this attribute if the user does not supply
a value.
- getDefaultValue() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
A reasonable default for this attribute if the user does not supply
a value.
- getDefaultValueBuilder() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Specify a new default value to use for this attr.
- getDefaultValueBuilder() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
A reasonable default for this attribute if the user does not supply
a value.
- getDefaultValueOrBuilder() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Specify a new default value to use for this attr.
- getDefaultValueOrBuilder() - Method in class org.tensorflow.framework.ApiDef.Attr
-
Specify a new default value to use for this attr.
- getDefaultValueOrBuilder() - Method in interface org.tensorflow.framework.ApiDef.AttrOrBuilder
-
Specify a new default value to use for this attr.
- getDefaultValueOrBuilder() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
A reasonable default for this attribute if the user does not supply
a value.
- getDefaultValueOrBuilder() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
A reasonable default for this attribute if the user does not supply
a value.
- getDefaultValueOrBuilder() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
A reasonable default for this attribute if the user does not supply
a value.
- getDeferred() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
True if the deallocation is queued and will be performed later,
e.g.
- getDeferred() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation
-
True if the deallocation is queued and will be performed later,
e.g.
- getDeferred() - Method in interface org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder
-
True if the deallocation is queued and will be performed later,
e.g.
- getDeferredDeletionBytes() - Method in class org.tensorflow.framework.GPUOptions.Builder
-
Delay deletion of up to this many bytes to reduce the number of
interactions with gpu driver code.
- getDeferredDeletionBytes() - Method in class org.tensorflow.framework.GPUOptions
-
Delay deletion of up to this many bytes to reduce the number of
interactions with gpu driver code.
- getDeferredDeletionBytes() - Method in interface org.tensorflow.framework.GPUOptionsOrBuilder
-
Delay deletion of up to this many bytes to reduce the number of
interactions with gpu driver code.
- getDenseShapeTensorName() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
The dynamic logical shape represented by the SparseTensor is recorded in
the Tensor referenced here.
- getDenseShapeTensorName() - Method in class org.tensorflow.framework.TensorInfo.CooSparse
-
The dynamic logical shape represented by the SparseTensor is recorded in
the Tensor referenced here.
- getDenseShapeTensorName() - Method in interface org.tensorflow.framework.TensorInfo.CooSparseOrBuilder
-
The dynamic logical shape represented by the SparseTensor is recorded in
the Tensor referenced here.
- getDenseShapeTensorNameBytes() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
The dynamic logical shape represented by the SparseTensor is recorded in
the Tensor referenced here.
- getDenseShapeTensorNameBytes() - Method in class org.tensorflow.framework.TensorInfo.CooSparse
-
The dynamic logical shape represented by the SparseTensor is recorded in
the Tensor referenced here.
- getDenseShapeTensorNameBytes() - Method in interface org.tensorflow.framework.TensorInfo.CooSparseOrBuilder
-
The dynamic logical shape represented by the SparseTensor is recorded in
the Tensor referenced here.
- getDependencyOptimization() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Control dependency optimizations (default is ON).
- getDependencyOptimization() - Method in class org.tensorflow.framework.RewriterConfig
-
Control dependency optimizations (default is ON).
- getDependencyOptimization() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
Control dependency optimizations (default is ON).
- getDependencyOptimizationValue() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Control dependency optimizations (default is ON).
- getDependencyOptimizationValue() - Method in class org.tensorflow.framework.RewriterConfig
-
Control dependency optimizations (default is ON).
- getDependencyOptimizationValue() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
Control dependency optimizations (default is ON).
- getDeprecation() - Method in class org.tensorflow.framework.OpDef.Builder
-
Optional deprecation based on GraphDef versions.
- getDeprecation() - Method in class org.tensorflow.framework.OpDef
-
Optional deprecation based on GraphDef versions.
- getDeprecation() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Optional deprecation based on GraphDef versions.
- getDeprecationBuilder() - Method in class org.tensorflow.framework.OpDef.Builder
-
Optional deprecation based on GraphDef versions.
- getDeprecationMessage() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
If this endpoint is deprecated, set deprecation_message to a
message that should be logged when the endpoint is used.
- getDeprecationMessage() - Method in class org.tensorflow.framework.ApiDef.Endpoint
-
If this endpoint is deprecated, set deprecation_message to a
message that should be logged when the endpoint is used.
- getDeprecationMessage() - Method in interface org.tensorflow.framework.ApiDef.EndpointOrBuilder
-
If this endpoint is deprecated, set deprecation_message to a
message that should be logged when the endpoint is used.
- getDeprecationMessageBytes() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
If this endpoint is deprecated, set deprecation_message to a
message that should be logged when the endpoint is used.
- getDeprecationMessageBytes() - Method in class org.tensorflow.framework.ApiDef.Endpoint
-
If this endpoint is deprecated, set deprecation_message to a
message that should be logged when the endpoint is used.
- getDeprecationMessageBytes() - Method in interface org.tensorflow.framework.ApiDef.EndpointOrBuilder
-
If this endpoint is deprecated, set deprecation_message to a
message that should be logged when the endpoint is used.
- getDeprecationOrBuilder() - Method in class org.tensorflow.framework.OpDef.Builder
-
Optional deprecation based on GraphDef versions.
- getDeprecationOrBuilder() - Method in class org.tensorflow.framework.OpDef
-
Optional deprecation based on GraphDef versions.
- getDeprecationOrBuilder() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Optional deprecation based on GraphDef versions.
- getDescription() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
Note: this will replace any inherited arg doc.
- getDescription() - Method in class org.tensorflow.framework.ApiDef.Arg
-
Note: this will replace any inherited arg doc.
- getDescription() - Method in interface org.tensorflow.framework.ApiDef.ArgOrBuilder
-
Note: this will replace any inherited arg doc.
- getDescription() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Note: this will replace any inherited attr doc, there is no current
way of modifying attr descriptions as can be done with op descriptions.
- getDescription() - Method in class org.tensorflow.framework.ApiDef.Attr
-
Note: this will replace any inherited attr doc, there is no current
way of modifying attr descriptions as can be done with op descriptions.
- getDescription() - Method in interface org.tensorflow.framework.ApiDef.AttrOrBuilder
-
Note: this will replace any inherited attr doc, there is no current
way of modifying attr descriptions as can be done with op descriptions.
- getDescription() - Method in class org.tensorflow.framework.ApiDef.Builder
-
Additional, longer human-readable description of what the Op does.
- getDescription() - Method in class org.tensorflow.framework.ApiDef
-
Additional, longer human-readable description of what the Op does.
- getDescription() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
Additional, longer human-readable description of what the Op does.
- getDescription() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Human readable description.
- getDescription() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
Human readable description.
- getDescription() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
Human readable description.
- getDescription() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
Human-readable description.
- getDescription() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
Human-readable description.
- getDescription() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
Human-readable description.
- getDescription() - Method in class org.tensorflow.framework.OpDef.Builder
-
Additional, longer human-readable description of what the Op does.
- getDescription() - Method in class org.tensorflow.framework.OpDef
-
Additional, longer human-readable description of what the Op does.
- getDescription() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Additional, longer human-readable description of what the Op does.
- getDescriptionBytes() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
Note: this will replace any inherited arg doc.
- getDescriptionBytes() - Method in class org.tensorflow.framework.ApiDef.Arg
-
Note: this will replace any inherited arg doc.
- getDescriptionBytes() - Method in interface org.tensorflow.framework.ApiDef.ArgOrBuilder
-
Note: this will replace any inherited arg doc.
- getDescriptionBytes() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Note: this will replace any inherited attr doc, there is no current
way of modifying attr descriptions as can be done with op descriptions.
- getDescriptionBytes() - Method in class org.tensorflow.framework.ApiDef.Attr
-
Note: this will replace any inherited attr doc, there is no current
way of modifying attr descriptions as can be done with op descriptions.
- getDescriptionBytes() - Method in interface org.tensorflow.framework.ApiDef.AttrOrBuilder
-
Note: this will replace any inherited attr doc, there is no current
way of modifying attr descriptions as can be done with op descriptions.
- getDescriptionBytes() - Method in class org.tensorflow.framework.ApiDef.Builder
-
Additional, longer human-readable description of what the Op does.
- getDescriptionBytes() - Method in class org.tensorflow.framework.ApiDef
-
Additional, longer human-readable description of what the Op does.
- getDescriptionBytes() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
Additional, longer human-readable description of what the Op does.
- getDescriptionBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Human readable description.
- getDescriptionBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
Human readable description.
- getDescriptionBytes() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
Human readable description.
- getDescriptionBytes() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
Human-readable description.
- getDescriptionBytes() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
Human-readable description.
- getDescriptionBytes() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
Human-readable description.
- getDescriptionBytes() - Method in class org.tensorflow.framework.OpDef.Builder
-
Additional, longer human-readable description of what the Op does.
- getDescriptionBytes() - Method in class org.tensorflow.framework.OpDef
-
Additional, longer human-readable description of what the Op does.
- getDescriptionBytes() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Additional, longer human-readable description of what the Op does.
- getDescriptionPrefix() - Method in class org.tensorflow.framework.ApiDef.Builder
-
Modify an existing/inherited description by adding text to the beginning
or end.
- getDescriptionPrefix() - Method in class org.tensorflow.framework.ApiDef
-
Modify an existing/inherited description by adding text to the beginning
or end.
- getDescriptionPrefix() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
Modify an existing/inherited description by adding text to the beginning
or end.
- getDescriptionPrefixBytes() - Method in class org.tensorflow.framework.ApiDef.Builder
-
Modify an existing/inherited description by adding text to the beginning
or end.
- getDescriptionPrefixBytes() - Method in class org.tensorflow.framework.ApiDef
-
Modify an existing/inherited description by adding text to the beginning
or end.
- getDescriptionPrefixBytes() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
Modify an existing/inherited description by adding text to the beginning
or end.
- getDescriptionSuffix() - Method in class org.tensorflow.framework.ApiDef.Builder
-
string description_suffix = 10;
- getDescriptionSuffix() - Method in class org.tensorflow.framework.ApiDef
-
string description_suffix = 10;
- getDescriptionSuffix() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
string description_suffix = 10;
- getDescriptionSuffixBytes() - Method in class org.tensorflow.framework.ApiDef.Builder
-
string description_suffix = 10;
- getDescriptionSuffixBytes() - Method in class org.tensorflow.framework.ApiDef
-
string description_suffix = 10;
- getDescriptionSuffixBytes() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
string description_suffix = 10;
- getDescriptor() - Static method in enum onnx.OnnxMlProto3.AttributeProto.AttributeType
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.AttributeProto
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.GraphProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.GraphProto
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.ModelProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.ModelProto
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.NodeProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.NodeProto
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.OperatorSetIdProto
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.StringStringEntryProto
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TensorProto.Builder
-
- getDescriptor() - Static method in enum onnx.OnnxMlProto3.TensorProto.DataType
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TensorProto
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TensorProto.Segment
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TensorShapeProto
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TypeProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TypeProto
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TypeProto.Map
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TypeProto.Sequence
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TypeProto.Tensor
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.ValueInfoProto
-
- getDescriptor() - Static method in enum onnx.OnnxMlProto3.Version
-
- getDescriptor() - Static method in class onnx.OnnxOperatorsProto3
-
- getDescriptor() - Static method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxOperatorsProto3.OperatorProto
-
- getDescriptor() - Static method in enum onnx.OnnxOperatorsProto3.OperatorProto.OperatorStatus
-
- getDescriptor() - Static method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
- getDescriptor() - Static method in enum onnx.OnnxProto3.AttributeProto.AttributeType
-
- getDescriptor() - Static method in class onnx.OnnxProto3.AttributeProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxProto3.AttributeProto
-
- getDescriptor() - Static method in class onnx.OnnxProto3
-
- getDescriptor() - Static method in class onnx.OnnxProto3.GraphProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxProto3.GraphProto
-
- getDescriptor() - Static method in class onnx.OnnxProto3.ModelProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxProto3.ModelProto
-
- getDescriptor() - Static method in class onnx.OnnxProto3.NodeProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxProto3.NodeProto
-
- getDescriptor() - Static method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxProto3.OperatorSetIdProto
-
- getDescriptor() - Static method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxProto3.StringStringEntryProto
-
- getDescriptor() - Static method in class onnx.OnnxProto3.TensorProto.Builder
-
- getDescriptor() - Static method in enum onnx.OnnxProto3.TensorProto.DataType
-
- getDescriptor() - Static method in class onnx.OnnxProto3.TensorProto
-
- getDescriptor() - Static method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
- getDescriptor() - Static method in class onnx.OnnxProto3.TensorProto.Segment
-
- getDescriptor() - Static method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
- getDescriptor() - Static method in class onnx.OnnxProto3.TensorShapeProto.Dimension
-
- getDescriptor() - Static method in class onnx.OnnxProto3.TensorShapeProto
-
- getDescriptor() - Static method in class onnx.OnnxProto3.TypeProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxProto3.TypeProto
-
- getDescriptor() - Static method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
- getDescriptor() - Static method in class onnx.OnnxProto3.TypeProto.Tensor
-
- getDescriptor() - Static method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxProto3.ValueInfoProto
-
- getDescriptor() - Static method in enum onnx.OnnxProto3.Version
-
- getDescriptor() - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
-
- getDescriptor() - Method in interface org.nd4j.linalg.api.ops.CustomOp
-
Get the custom op descriptor if one is available.
- getDescriptor() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
-
- getDescriptor() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
-
- getDescriptor() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
-
- getDescriptor() - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
This method returns compression descriptor.
- getDescriptor() - Static method in class org.tensorflow.distruntime.CleanupAllRequest.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.CleanupAllRequest
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.CleanupAllResponse.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.CleanupAllResponse
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.CleanupGraphRequest
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.CleanupGraphResponse
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.CloseSessionRequest.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.CloseSessionRequest
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.CloseSessionResponse.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.CloseSessionResponse
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.ClusterDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.ClusterDef
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.ClusterProtos
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.CompleteGroupRequest
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.CompleteGroupResponse
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.CompleteInstanceRequest
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.CompleteInstanceResponse
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.CreateSessionRequest
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.CreateSessionResponse.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.CreateSessionResponse
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.CreateWorkerSessionRequest
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.CreateWorkerSessionResponse
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.DeregisterGraphRequest
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.DeregisterGraphResponse
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.DistributedRuntimeProtos
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.ExecutorOpts.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.ExecutorOpts
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.ExtendSessionRequest
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.ExtendSessionResponse
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.GetStatusRequest.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.GetStatusRequest
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.GetStatusResponse.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.GetStatusResponse
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.GetStepSequenceRequest
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.GetStepSequenceResponse
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.JobDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.JobDef
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.LabeledStepStats.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.LabeledStepStats
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.ListDevicesRequest.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.ListDevicesRequest
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.ListDevicesResponse
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.LoggingRequest.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.LoggingRequest
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.LoggingResponse.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.LoggingResponse
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.MakeCallableRequest.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.MakeCallableRequest
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.MakeCallableResponse.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.MakeCallableResponse
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.MasterServiceProtos
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.PartialRunSetupRequest
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.PartialRunSetupResponse
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.RecvBufRequest
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.RecvBufResponse.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.RecvBufResponse
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.RecvTensorRequest
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.RecvTensorResponse
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.RegisterGraphRequest
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.RegisterGraphResponse
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.ReleaseCallableRequest
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.ReleaseCallableResponse
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.ResetRequest.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.ResetRequest
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.ResetResponse.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.ResetResponse
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.RunCallableRequest.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.RunCallableRequest
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.RunCallableResponse.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.RunCallableResponse
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.RunGraphRequest
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.RunGraphResponse
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.RunStepRequest
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.RunStepResponse
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.ServerDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.ServerDef
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.ServerProtos
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.StepSequence.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.StepSequence
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.TraceOpts.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.TraceOpts
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.TracingRequest.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.TracingRequest
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.TracingResponse.Builder
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.TracingResponse
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.WorkerProtos
-
- getDescriptor() - Static method in class org.tensorflow.distruntime.WorkerServiceProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.AllocationDescription.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.AllocationDescription
-
- getDescriptor() - Static method in class org.tensorflow.framework.AllocationDescriptionProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.AllocationRecord.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.AllocationRecord
-
- getDescriptor() - Static method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.AllocatorMemoryUsed
-
- getDescriptor() - Static method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.ApiDef.Arg
-
- getDescriptor() - Static method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.ApiDef.Attr
-
- getDescriptor() - Static method in class org.tensorflow.framework.ApiDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.ApiDef.Endpoint
-
- getDescriptor() - Static method in class org.tensorflow.framework.ApiDef
-
- getDescriptor() - Static method in enum org.tensorflow.framework.ApiDef.Visibility
-
- getDescriptor() - Static method in class org.tensorflow.framework.ApiDefProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.ApiDefs.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.ApiDefs
-
- getDescriptor() - Static method in class org.tensorflow.framework.AssetFileDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.AssetFileDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.AttrValue.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.AttrValue
-
- getDescriptor() - Static method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.AttrValue.ListValue
-
- getDescriptor() - Static method in class org.tensorflow.framework.AttrValueProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.AutoParallelOptions.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.AutoParallelOptions
-
- getDescriptor() - Static method in class org.tensorflow.framework.CallableOptions.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.CallableOptions
-
- getDescriptor() - Static method in enum org.tensorflow.framework.Code
-
- getDescriptor() - Static method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.CollectionDef.AnyList
-
- getDescriptor() - Static method in class org.tensorflow.framework.CollectionDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.CollectionDef.BytesList.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.CollectionDef.BytesList
-
- getDescriptor() - Static method in class org.tensorflow.framework.CollectionDef.FloatList.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.CollectionDef.FloatList
-
- getDescriptor() - Static method in class org.tensorflow.framework.CollectionDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.CollectionDef.Int64List.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.CollectionDef.Int64List
-
- getDescriptor() - Static method in class org.tensorflow.framework.CollectionDef.NodeList.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.CollectionDef.NodeList
-
- getDescriptor() - Static method in class org.tensorflow.framework.CondContextDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.CondContextDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.ConfigProto.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.ConfigProto.Experimental.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.ConfigProto.Experimental
-
- getDescriptor() - Static method in class org.tensorflow.framework.ConfigProto
-
- getDescriptor() - Static method in class org.tensorflow.framework.ConfigProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.ControlFlowContextDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.ControlFlowContextDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.ControlFlowProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.CostGraphDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.CostGraphDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.CostGraphDef.Node
-
- getDescriptor() - Static method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo
-
- getDescriptor() - Static method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
- getDescriptor() - Static method in class org.tensorflow.framework.CostGraphProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.CriticalSectionDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.CriticalSectionDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.CriticalSectionExecutionDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.CriticalSectionProtos
-
- getDescriptor() - Static method in enum org.tensorflow.framework.DataType
-
- getDescriptor() - Static method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.DebuggedSourceFile
-
- getDescriptor() - Static method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.DebuggedSourceFiles
-
- getDescriptor() - Static method in class org.tensorflow.framework.DebugOptions.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.DebugOptions
-
- getDescriptor() - Static method in class org.tensorflow.framework.DebugProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.DebugTensorWatch
-
- getDescriptor() - Static method in class org.tensorflow.framework.DeviceAttributes.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.DeviceAttributes
-
- getDescriptor() - Static method in class org.tensorflow.framework.DeviceAttributesProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.DeviceLocality.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.DeviceLocality
-
- getDescriptor() - Static method in class org.tensorflow.framework.DeviceStepStats.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.DeviceStepStats
-
- getDescriptor() - Static method in class org.tensorflow.framework.ErrorCodesProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.FunctionDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.FunctionDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.FunctionDefLibrary
-
- getDescriptor() - Static method in class org.tensorflow.framework.FunctionProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.GPUOptions.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.GPUOptions.Experimental
-
- getDescriptor() - Static method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
-
- getDescriptor() - Static method in class org.tensorflow.framework.GPUOptions
-
- getDescriptor() - Static method in class org.tensorflow.framework.GradientDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.GradientDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphOptions.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphOptions
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferConstNodeInfo
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
- getDescriptor() - Static method in enum org.tensorflow.framework.GraphTransferInfo.Destination
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferInfo
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferInfoProto
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferNodeInfo
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferNodeInput.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferNodeInput
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferNodeInputInfo
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferNodeOutputInfo
-
- getDescriptor() - Static method in class org.tensorflow.framework.HistogramProto.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.HistogramProto
-
- getDescriptor() - Static method in class org.tensorflow.framework.InterconnectLink.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.InterconnectLink
-
- getDescriptor() - Static method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.KernelDef.AttrConstraint
-
- getDescriptor() - Static method in class org.tensorflow.framework.KernelDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.KernelDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.KernelDefProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.LocalLinks.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.LocalLinks
-
- getDescriptor() - Static method in class org.tensorflow.framework.LogMemoryProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogRawAllocation
-
- getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogRawDeallocation
-
- getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogStep.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogStep
-
- getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogTensorAllocation
-
- getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogTensorDeallocation
-
- getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogTensorOutput
-
- getDescriptor() - Static method in class org.tensorflow.framework.MemoryStats.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.MemoryStats
-
- getDescriptor() - Static method in class org.tensorflow.framework.MetaGraphDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.MetaGraphDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.MetaGraphProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.NameAttrList.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.NameAttrList
-
- getDescriptor() - Static method in class org.tensorflow.framework.NamedTensorProto.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.NamedTensorProto
-
- getDescriptor() - Static method in class org.tensorflow.framework.NamedTensorProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.NodeDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.NodeDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.NodeExecStats.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.NodeExecStats
-
- getDescriptor() - Static method in class org.tensorflow.framework.NodeOutput.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.NodeOutput
-
- getDescriptor() - Static method in class org.tensorflow.framework.NodeProto
-
- getDescriptor() - Static method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.OpDef.ArgDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.OpDef.AttrDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.OpDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.OpDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.OpDefProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.OpDeprecation.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.OpDeprecation
-
- getDescriptor() - Static method in class org.tensorflow.framework.OpList.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.OpList
-
- getDescriptor() - Static method in class org.tensorflow.framework.OptimizerOptions.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.OptimizerOptions
-
- getDescriptor() - Static method in enum org.tensorflow.framework.OptimizerOptions.GlobalJitLevel
-
- getDescriptor() - Static method in enum org.tensorflow.framework.OptimizerOptions.Level
-
- getDescriptor() - Static method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.QueueRunnerDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.QueueRunnerProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.ReaderBaseProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.ReaderBaseState.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.ReaderBaseState
-
- getDescriptor() - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
- getDescriptor() - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
- getDescriptor() - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfoProto
-
- getDescriptor() - Static method in class org.tensorflow.framework.ResourceHandle
-
- getDescriptor() - Static method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.ResourceHandleProto
-
- getDescriptor() - Static method in class org.tensorflow.framework.RewriterConfig.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
-
- getDescriptor() - Static method in class org.tensorflow.framework.RewriterConfig
-
- getDescriptor() - Static method in enum org.tensorflow.framework.RewriterConfig.MemOptType
-
- getDescriptor() - Static method in enum org.tensorflow.framework.RewriterConfig.NumIterationsType
-
- getDescriptor() - Static method in enum org.tensorflow.framework.RewriterConfig.Toggle
-
- getDescriptor() - Static method in class org.tensorflow.framework.RewriterConfigProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.RPCOptions.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.RPCOptions
-
- getDescriptor() - Static method in class org.tensorflow.framework.RunMetadata.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.RunMetadata
-
- getDescriptor() - Static method in class org.tensorflow.framework.RunOptions.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.RunOptions.Experimental.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.RunOptions.Experimental
-
- getDescriptor() - Static method in class org.tensorflow.framework.RunOptions
-
- getDescriptor() - Static method in enum org.tensorflow.framework.RunOptions.TraceLevel
-
- getDescriptor() - Static method in class org.tensorflow.framework.SavedModel.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.SavedModel
-
- getDescriptor() - Static method in class org.tensorflow.framework.SavedModelProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.SaveSliceInfoDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.ScopedAllocatorOptions
-
- getDescriptor() - Static method in class org.tensorflow.framework.SignatureDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.SignatureDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.StepStats.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.StepStats
-
- getDescriptor() - Static method in class org.tensorflow.framework.StepStatsProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.Summary.Audio.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.Summary.Audio
-
- getDescriptor() - Static method in class org.tensorflow.framework.Summary.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.Summary
-
- getDescriptor() - Static method in class org.tensorflow.framework.Summary.Image.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.Summary.Image
-
- getDescriptor() - Static method in class org.tensorflow.framework.Summary.Value.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.Summary.Value
-
- getDescriptor() - Static method in class org.tensorflow.framework.SummaryDescription.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.SummaryDescription
-
- getDescriptor() - Static method in class org.tensorflow.framework.SummaryMetadata.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.SummaryMetadata
-
- getDescriptor() - Static method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.SummaryMetadata.PluginData
-
- getDescriptor() - Static method in class org.tensorflow.framework.SummaryProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorConnection.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorConnection
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorDescription.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorDescription
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorDescriptionProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorInfo.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorInfo.CooSparse
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorInfo
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorProto.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorProto
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorShapeProto.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorShapeProto.Dim
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorShapeProto
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorShapeProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorSliceProto.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorSliceProto.Extent
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorSliceProto
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorSliceProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.ThreadPoolOptionProto
-
- getDescriptor() - Static method in class org.tensorflow.framework.TypesProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.ValuesDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.ValuesDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.VariableDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.VariableDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.VariableProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.VariantTensorDataProto
-
- getDescriptor() - Static method in class org.tensorflow.framework.VersionDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.VersionDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.VersionsProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.WhileContextDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.WhileContextDef
-
- getDescriptor() - Static method in class org.tensorflow.util.BundleEntryProto.Builder
-
- getDescriptor() - Static method in class org.tensorflow.util.BundleEntryProto
-
- getDescriptor() - Static method in class org.tensorflow.util.BundleHeaderProto.Builder
-
- getDescriptor() - Static method in enum org.tensorflow.util.BundleHeaderProto.Endianness
-
- getDescriptor() - Static method in class org.tensorflow.util.BundleHeaderProto
-
- getDescriptor() - Static method in class org.tensorflow.util.IteratorProtos
-
- getDescriptor() - Static method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
- getDescriptor() - Static method in class org.tensorflow.util.IteratorStateMetadata
-
- getDescriptor() - Static method in class org.tensorflow.util.SaverDef.Builder
-
- getDescriptor() - Static method in enum org.tensorflow.util.SaverDef.CheckpointFormatVersion
-
- getDescriptor() - Static method in class org.tensorflow.util.SaverDef
-
- getDescriptor() - Static method in class org.tensorflow.util.SaverProtos
-
- getDescriptor() - Static method in class org.tensorflow.util.TensorBundleProtos
-
- getDescriptor() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
-
- getDescriptor() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
- getDescriptor() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
- getDescriptor() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
-
- getDescriptor() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
-
- getDescriptor() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
- getDescriptor() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
-
- getDescriptor() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
-
- getDescriptor() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
-
- getDescriptor() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
-
- getDescriptor() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass
-
- getDescriptor() - Static method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
- getDescriptor() - Static method in class tensorflow.DevicePropertiesProtos.DeviceProperties
-
- getDescriptor() - Static method in class tensorflow.DevicePropertiesProtos
-
- getDescriptor() - Static method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder
-
- getDescriptor() - Static method in class tensorflow.DevicePropertiesProtos.NamedDevice
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.Operation
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.QueueItem
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
-
- getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
-
- getDescriptor() - Static method in class tensorflow.TransportOptions
-
- getDescriptor() - Static method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder
-
- getDescriptor() - Static method in class tensorflow.TransportOptions.RecvBufRespExtra
-
- getDescriptorForType() - Method in enum onnx.OnnxMlProto3.AttributeProto.AttributeType
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
- getDescriptorForType() - Method in enum onnx.OnnxMlProto3.TensorProto.DataType
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
- getDescriptorForType() - Method in enum onnx.OnnxMlProto3.Version
-
- getDescriptorForType() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
- getDescriptorForType() - Method in enum onnx.OnnxOperatorsProto3.OperatorProto.OperatorStatus
-
- getDescriptorForType() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
- getDescriptorForType() - Method in enum onnx.OnnxProto3.AttributeProto.AttributeType
-
- getDescriptorForType() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
- getDescriptorForType() - Method in enum onnx.OnnxProto3.TensorProto.DataType
-
- getDescriptorForType() - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxProto3.TypeProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
- getDescriptorForType() - Method in enum onnx.OnnxProto3.Version
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.ClusterDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.JobDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.ResetRequest.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.ResetResponse.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.StepSequence.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.TraceOpts.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.TracingRequest.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.distruntime.TracingResponse.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.ApiDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
- getDescriptorForType() - Method in enum org.tensorflow.framework.ApiDef.Visibility
-
- getDescriptorForType() - Method in class org.tensorflow.framework.ApiDefs.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.AssetFileDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.AttrValue.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.AutoParallelOptions.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.CallableOptions.Builder
-
- getDescriptorForType() - Method in enum org.tensorflow.framework.Code
-
- getDescriptorForType() - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.CollectionDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.CondContextDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.CriticalSectionDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder
-
- getDescriptorForType() - Method in enum org.tensorflow.framework.DataType
-
- getDescriptorForType() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.DebugOptions.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.GPUOptions.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.GradientDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.GraphDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.GraphOptions.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
- getDescriptorForType() - Method in enum org.tensorflow.framework.GraphTransferInfo.Destination
-
- getDescriptorForType() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.InterconnectLink.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.KernelDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.LocalLinks.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.NameAttrList.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.NamedTensorProto.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.NodeDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.NodeOutput.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.OpDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.OpList.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
- getDescriptorForType() - Method in enum org.tensorflow.framework.OptimizerOptions.GlobalJitLevel
-
- getDescriptorForType() - Method in enum org.tensorflow.framework.OptimizerOptions.Level
-
- getDescriptorForType() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
- getDescriptorForType() - Method in enum org.tensorflow.framework.RewriterConfig.MemOptType
-
- getDescriptorForType() - Method in enum org.tensorflow.framework.RewriterConfig.NumIterationsType
-
- getDescriptorForType() - Method in enum org.tensorflow.framework.RewriterConfig.Toggle
-
- getDescriptorForType() - Method in class org.tensorflow.framework.RPCOptions.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.RunMetadata.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.RunOptions.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder
-
- getDescriptorForType() - Method in enum org.tensorflow.framework.RunOptions.TraceLevel
-
- getDescriptorForType() - Method in class org.tensorflow.framework.SavedModel.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.SignatureDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.StepStats.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.Summary.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.Summary.Image.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.TensorConnection.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.TensorInfo.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.TensorProto.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.ValuesDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.VariableDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.VersionDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.util.BundleHeaderProto.Builder
-
- getDescriptorForType() - Method in enum org.tensorflow.util.BundleHeaderProto.Endianness
-
- getDescriptorForType() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.util.SaverDef.Builder
-
- getDescriptorForType() - Method in enum org.tensorflow.util.SaverDef.CheckpointFormatVersion
-
- getDescriptorForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
-
- getDescriptorForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
- getDescriptorForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
-
- getDescriptorForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
- getDescriptorForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
-
- getDescriptorForType() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
- getDescriptorForType() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder
-
- getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
-
- getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
-
- getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
- getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
- getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
- getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
-
- getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
-
- getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
-
- getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
- getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
- getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
-
- getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
-
- getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
-
- getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
-
- getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
-
- getDescriptorForType() - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder
-
- getDeserializedType() - Method in class org.nd4j.serde.json.BaseLegacyDeserializer
-
- getDeserializedType() - Method in class org.nd4j.serde.json.LegacyIActivationDeserializer
-
- getDeserializedType() - Method in class org.nd4j.serde.json.LegacyILossFunctionDeserializer
-
- getDestination() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Destination of graph transfer
- getDestination() - Method in class org.tensorflow.framework.GraphTransferInfo
-
Destination of graph transfer
- getDestination() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
Destination of graph transfer
- getDestinationValue() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Destination of graph transfer
- getDestinationValue() - Method in class org.tensorflow.framework.GraphTransferInfo
-
Destination of graph transfer
- getDestinationValue() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
Destination of graph transfer
- getDeviancePart(double, double) - Static method in class org.nd4j.linalg.api.rng.distribution.impl.SaddlePointExpansion
-
A part of the deviance portion of the saddle point approximation.
- getDevice() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
string device = 10;
- getDevice() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest
-
string device = 10;
- getDevice() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
string device = 10;
- getDevice() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
The device of the node.
- getDevice() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
The device of the node.
- getDevice() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
The device of the node.
- getDevice() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
string device = 1;
- getDevice() - Method in class org.tensorflow.framework.DeviceStepStats
-
string device = 1;
- getDevice() - Method in interface org.tensorflow.framework.DeviceStepStatsOrBuilder
-
string device = 1;
- getDevice() - Method in class org.tensorflow.framework.NodeDef.Builder
-
A (possibly partial) specification for the device on which this
node should be placed.
- getDevice() - Method in class org.tensorflow.framework.NodeDef
-
A (possibly partial) specification for the device on which this
node should be placed.
- getDevice() - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
A (possibly partial) specification for the device on which this
node should be placed.
- getDevice() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Unique name for the device containing the resource.
- getDevice() - Method in class org.tensorflow.framework.ResourceHandleProto
-
Unique name for the device containing the resource.
- getDevice() - Method in interface org.tensorflow.framework.ResourceHandleProtoOrBuilder
-
Unique name for the device containing the resource.
- getDevice() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
string device = 6;
- getDevice() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation
-
string device = 6;
- getDevice() - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
string device = 6;
- getDeviceAttributes(int) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributes(int) - Method in class org.tensorflow.distruntime.GetStatusResponse
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributes(int) - Method in interface org.tensorflow.distruntime.GetStatusResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributes(int) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
List of devices that are locally accessible to the worker.
- getDeviceAttributes(int) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
-
List of devices that are locally accessible to the worker.
- getDeviceAttributes(int) - Method in interface tensorflow.eager.EagerServiceOuterClass.CreateContextResponseOrBuilder
-
List of devices that are locally accessible to the worker.
- getDeviceAttributesBuilder(int) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributesBuilder(int) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
List of devices that are locally accessible to the worker.
- getDeviceAttributesBuilderList() - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributesBuilderList() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
List of devices that are locally accessible to the worker.
- getDeviceAttributesCount() - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributesCount() - Method in class org.tensorflow.distruntime.GetStatusResponse
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributesCount() - Method in interface org.tensorflow.distruntime.GetStatusResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributesCount() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
List of devices that are locally accessible to the worker.
- getDeviceAttributesCount() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
-
List of devices that are locally accessible to the worker.
- getDeviceAttributesCount() - Method in interface tensorflow.eager.EagerServiceOuterClass.CreateContextResponseOrBuilder
-
List of devices that are locally accessible to the worker.
- getDeviceAttributesList() - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributesList() - Method in class org.tensorflow.distruntime.GetStatusResponse
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributesList() - Method in interface org.tensorflow.distruntime.GetStatusResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributesList() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
List of devices that are locally accessible to the worker.
- getDeviceAttributesList() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
-
List of devices that are locally accessible to the worker.
- getDeviceAttributesList() - Method in interface tensorflow.eager.EagerServiceOuterClass.CreateContextResponseOrBuilder
-
List of devices that are locally accessible to the worker.
- getDeviceAttributesOrBuilder(int) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributesOrBuilder(int) - Method in class org.tensorflow.distruntime.GetStatusResponse
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributesOrBuilder(int) - Method in interface org.tensorflow.distruntime.GetStatusResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributesOrBuilder(int) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
List of devices that are locally accessible to the worker.
- getDeviceAttributesOrBuilder(int) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
-
List of devices that are locally accessible to the worker.
- getDeviceAttributesOrBuilder(int) - Method in interface tensorflow.eager.EagerServiceOuterClass.CreateContextResponseOrBuilder
-
List of devices that are locally accessible to the worker.
- getDeviceAttributesOrBuilderList() - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributesOrBuilderList() - Method in class org.tensorflow.distruntime.GetStatusResponse
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributesOrBuilderList() - Method in interface org.tensorflow.distruntime.GetStatusResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributesOrBuilderList() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
List of devices that are locally accessible to the worker.
- getDeviceAttributesOrBuilderList() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
-
List of devices that are locally accessible to the worker.
- getDeviceAttributesOrBuilderList() - Method in interface tensorflow.eager.EagerServiceOuterClass.CreateContextResponseOrBuilder
-
List of devices that are locally accessible to the worker.
- getDeviceBytes() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
string device = 10;
- getDeviceBytes() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest
-
string device = 10;
- getDeviceBytes() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
string device = 10;
- getDeviceBytes() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
The device of the node.
- getDeviceBytes() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
The device of the node.
- getDeviceBytes() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
The device of the node.
- getDeviceBytes() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
string device = 1;
- getDeviceBytes() - Method in class org.tensorflow.framework.DeviceStepStats
-
string device = 1;
- getDeviceBytes() - Method in interface org.tensorflow.framework.DeviceStepStatsOrBuilder
-
string device = 1;
- getDeviceBytes() - Method in class org.tensorflow.framework.NodeDef.Builder
-
A (possibly partial) specification for the device on which this
node should be placed.
- getDeviceBytes() - Method in class org.tensorflow.framework.NodeDef
-
A (possibly partial) specification for the device on which this
node should be placed.
- getDeviceBytes() - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
A (possibly partial) specification for the device on which this
node should be placed.
- getDeviceBytes() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Unique name for the device containing the resource.
- getDeviceBytes() - Method in class org.tensorflow.framework.ResourceHandleProto
-
Unique name for the device containing the resource.
- getDeviceBytes() - Method in interface org.tensorflow.framework.ResourceHandleProtoOrBuilder
-
Unique name for the device containing the resource.
- getDeviceBytes() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
string device = 6;
- getDeviceBytes() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation
-
string device = 6;
- getDeviceBytes() - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
string device = 6;
- getDeviceCount() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Deprecated.
- getDeviceCount() - Method in class org.tensorflow.framework.ConfigProto
-
Deprecated.
- getDeviceCount() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
Deprecated.
- getDeviceCountCount() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
- getDeviceCountCount() - Method in class org.tensorflow.framework.ConfigProto
-
- getDeviceCountCount() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
Map from device type name (e.g., "CPU" or "GPU" ) to maximum
number of devices of that type to use.
- getDeviceCountMap() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Map from device type name (e.g., "CPU" or "GPU" ) to maximum
number of devices of that type to use.
- getDeviceCountMap() - Method in class org.tensorflow.framework.ConfigProto
-
Map from device type name (e.g., "CPU" or "GPU" ) to maximum
number of devices of that type to use.
- getDeviceCountMap() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
Map from device type name (e.g., "CPU" or "GPU" ) to maximum
number of devices of that type to use.
- getDeviceCountOrDefault(String, int) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Map from device type name (e.g., "CPU" or "GPU" ) to maximum
number of devices of that type to use.
- getDeviceCountOrDefault(String, int) - Method in class org.tensorflow.framework.ConfigProto
-
Map from device type name (e.g., "CPU" or "GPU" ) to maximum
number of devices of that type to use.
- getDeviceCountOrDefault(String, int) - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
Map from device type name (e.g., "CPU" or "GPU" ) to maximum
number of devices of that type to use.
- getDeviceCountOrThrow(String) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Map from device type name (e.g., "CPU" or "GPU" ) to maximum
number of devices of that type to use.
- getDeviceCountOrThrow(String) - Method in class org.tensorflow.framework.ConfigProto
-
Map from device type name (e.g., "CPU" or "GPU" ) to maximum
number of devices of that type to use.
- getDeviceCountOrThrow(String) - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
Map from device type name (e.g., "CPU" or "GPU" ) to maximum
number of devices of that type to use.
- getDeviceFilters(int) - Method in class org.tensorflow.distruntime.ResetRequest.Builder
-
When any filters are present, only devices that match the filters
will be reset.
- getDeviceFilters(int) - Method in class org.tensorflow.distruntime.ResetRequest
-
When any filters are present, only devices that match the filters
will be reset.
- getDeviceFilters(int) - Method in interface org.tensorflow.distruntime.ResetRequestOrBuilder
-
When any filters are present, only devices that match the filters
will be reset.
- getDeviceFilters(int) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
When any filters are present sessions will ignore all devices which do not
match the filters.
- getDeviceFilters(int) - Method in class org.tensorflow.framework.ConfigProto
-
When any filters are present sessions will ignore all devices which do not
match the filters.
- getDeviceFilters(int) - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
When any filters are present sessions will ignore all devices which do not
match the filters.
- getDeviceFiltersBytes(int) - Method in class org.tensorflow.distruntime.ResetRequest.Builder
-
When any filters are present, only devices that match the filters
will be reset.
- getDeviceFiltersBytes(int) - Method in class org.tensorflow.distruntime.ResetRequest
-
When any filters are present, only devices that match the filters
will be reset.
- getDeviceFiltersBytes(int) - Method in interface org.tensorflow.distruntime.ResetRequestOrBuilder
-
When any filters are present, only devices that match the filters
will be reset.
- getDeviceFiltersBytes(int) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
When any filters are present sessions will ignore all devices which do not
match the filters.
- getDeviceFiltersBytes(int) - Method in class org.tensorflow.framework.ConfigProto
-
When any filters are present sessions will ignore all devices which do not
match the filters.
- getDeviceFiltersBytes(int) - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
When any filters are present sessions will ignore all devices which do not
match the filters.
- getDeviceFiltersCount() - Method in class org.tensorflow.distruntime.ResetRequest.Builder
-
When any filters are present, only devices that match the filters
will be reset.
- getDeviceFiltersCount() - Method in class org.tensorflow.distruntime.ResetRequest
-
When any filters are present, only devices that match the filters
will be reset.
- getDeviceFiltersCount() - Method in interface org.tensorflow.distruntime.ResetRequestOrBuilder
-
When any filters are present, only devices that match the filters
will be reset.
- getDeviceFiltersCount() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
When any filters are present sessions will ignore all devices which do not
match the filters.
- getDeviceFiltersCount() - Method in class org.tensorflow.framework.ConfigProto
-
When any filters are present sessions will ignore all devices which do not
match the filters.
- getDeviceFiltersCount() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
When any filters are present sessions will ignore all devices which do not
match the filters.
- getDeviceFiltersList() - Method in class org.tensorflow.distruntime.ResetRequest.Builder
-
When any filters are present, only devices that match the filters
will be reset.
- getDeviceFiltersList() - Method in class org.tensorflow.distruntime.ResetRequest
-
When any filters are present, only devices that match the filters
will be reset.
- getDeviceFiltersList() - Method in interface org.tensorflow.distruntime.ResetRequestOrBuilder
-
When any filters are present, only devices that match the filters
will be reset.
- getDeviceFiltersList() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
When any filters are present sessions will ignore all devices which do not
match the filters.
- getDeviceFiltersList() - Method in class org.tensorflow.framework.ConfigProto
-
When any filters are present sessions will ignore all devices which do not
match the filters.
- getDeviceFiltersList() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
When any filters are present sessions will ignore all devices which do not
match the filters.
- getDeviceForArray(INDArray) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method returns id of current device for a given INDArray
- getDeviceForArray(INDArray) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- getDeviceForCurrentThread() - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method returns deviceId for current thread
- getDeviceForCurrentThread() - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- getDeviceForThread(Thread) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method returns deviceId for specified thread
- getDeviceForThread(long) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method returns deviceId for specified threadId
- getDeviceForThread(Thread) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- getDeviceForThread(long) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- getDeviceId() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
- getDeviceId() - Method in class org.tensorflow.framework.InterconnectLink.Builder
-
int32 device_id = 1;
- getDeviceId() - Method in class org.tensorflow.framework.InterconnectLink
-
int32 device_id = 1;
- getDeviceId() - Method in interface org.tensorflow.framework.InterconnectLinkOrBuilder
-
int32 device_id = 1;
- getDeviceName(int) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
repeated string device_name = 4;
- getDeviceName(int) - Method in class org.tensorflow.distruntime.CompleteGroupRequest
-
repeated string device_name = 4;
- getDeviceName(int) - Method in interface org.tensorflow.distruntime.CompleteGroupRequestOrBuilder
-
repeated string device_name = 4;
- getDeviceName(int) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
repeated string device_name = 5;
- getDeviceName(int) - Method in class org.tensorflow.distruntime.CompleteGroupResponse
-
repeated string device_name = 5;
- getDeviceName(int) - Method in interface org.tensorflow.distruntime.CompleteGroupResponseOrBuilder
-
repeated string device_name = 5;
- getDeviceNameBytes(int) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
repeated string device_name = 4;
- getDeviceNameBytes(int) - Method in class org.tensorflow.distruntime.CompleteGroupRequest
-
repeated string device_name = 4;
- getDeviceNameBytes(int) - Method in interface org.tensorflow.distruntime.CompleteGroupRequestOrBuilder
-
repeated string device_name = 4;
- getDeviceNameBytes(int) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
repeated string device_name = 5;
- getDeviceNameBytes(int) - Method in class org.tensorflow.distruntime.CompleteGroupResponse
-
repeated string device_name = 5;
- getDeviceNameBytes(int) - Method in interface org.tensorflow.distruntime.CompleteGroupResponseOrBuilder
-
repeated string device_name = 5;
- getDeviceNameCount() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
repeated string device_name = 4;
- getDeviceNameCount() - Method in class org.tensorflow.distruntime.CompleteGroupRequest
-
repeated string device_name = 4;
- getDeviceNameCount() - Method in interface org.tensorflow.distruntime.CompleteGroupRequestOrBuilder
-
repeated string device_name = 4;
- getDeviceNameCount() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
repeated string device_name = 5;
- getDeviceNameCount() - Method in class org.tensorflow.distruntime.CompleteGroupResponse
-
repeated string device_name = 5;
- getDeviceNameCount() - Method in interface org.tensorflow.distruntime.CompleteGroupResponseOrBuilder
-
repeated string device_name = 5;
- getDeviceNameList() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
repeated string device_name = 4;
- getDeviceNameList() - Method in class org.tensorflow.distruntime.CompleteGroupRequest
-
repeated string device_name = 4;
- getDeviceNameList() - Method in interface org.tensorflow.distruntime.CompleteGroupRequestOrBuilder
-
repeated string device_name = 4;
- getDeviceNameList() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
repeated string device_name = 5;
- getDeviceNameList() - Method in class org.tensorflow.distruntime.CompleteGroupResponse
-
repeated string device_name = 5;
- getDeviceNameList() - Method in interface org.tensorflow.distruntime.CompleteGroupResponseOrBuilder
-
repeated string device_name = 5;
- getDeviceOffset() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns current device memory offset within workspace
- getDevicePersistentMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Deprecated.
- getDevicePersistentMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
Deprecated.
- getDevicePersistentMemorySize() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
Deprecated.
- getDevicePersistentMemorySize() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
Deprecated.
- getDevicePersistentMemorySize() - Method in class org.tensorflow.framework.MemoryStats
-
Deprecated.
- getDevicePersistentMemorySize() - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder
-
Deprecated.
- getDevicePersistentTensorAllocIds(int) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
Deprecated.
- getDevicePersistentTensorAllocIds(int) - Method in class org.tensorflow.framework.MemoryStats
-
Deprecated.
- getDevicePersistentTensorAllocIds(int) - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder
-
Deprecated.
- getDevicePersistentTensorAllocIdsCount() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
Deprecated.
- getDevicePersistentTensorAllocIdsCount() - Method in class org.tensorflow.framework.MemoryStats
-
Deprecated.
- getDevicePersistentTensorAllocIdsCount() - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder
-
Deprecated.
- getDevicePersistentTensorAllocIdsList() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
Deprecated.
- getDevicePersistentTensorAllocIdsList() - Method in class org.tensorflow.framework.MemoryStats
-
Deprecated.
- getDevicePersistentTensorAllocIdsList() - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder
-
Deprecated.
- getDeviceTempMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Deprecated.
- getDeviceTempMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
Deprecated.
- getDeviceTempMemorySize() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
Deprecated.
- getDeviceTempMemorySize() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
Deprecated.
- getDeviceTempMemorySize() - Method in class org.tensorflow.framework.MemoryStats
-
Deprecated.
- getDeviceTempMemorySize() - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder
-
Deprecated.
- getDeviceType() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
string device_type = 3;
- getDeviceType() - Method in class org.tensorflow.distruntime.CompleteGroupRequest
-
string device_type = 3;
- getDeviceType() - Method in interface org.tensorflow.distruntime.CompleteGroupRequestOrBuilder
-
string device_type = 3;
- getDeviceType() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
string device_type = 3;
- getDeviceType() - Method in class org.tensorflow.distruntime.CompleteGroupResponse
-
string device_type = 3;
- getDeviceType() - Method in interface org.tensorflow.distruntime.CompleteGroupResponseOrBuilder
-
string device_type = 3;
- getDeviceType() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
string device_type = 8;
- getDeviceType() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest
-
string device_type = 8;
- getDeviceType() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
string device_type = 8;
- getDeviceType() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
String representation of device_type.
- getDeviceType() - Method in class org.tensorflow.framework.DeviceAttributes
-
String representation of device_type.
- getDeviceType() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder
-
String representation of device_type.
- getDeviceType() - Method in class org.tensorflow.framework.KernelDef.Builder
-
Type of device this kernel runs on.
- getDeviceType() - Method in class org.tensorflow.framework.KernelDef
-
Type of device this kernel runs on.
- getDeviceType() - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
Type of device this kernel runs on.
- getDeviceTypeBytes() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
string device_type = 3;
- getDeviceTypeBytes() - Method in class org.tensorflow.distruntime.CompleteGroupRequest
-
string device_type = 3;
- getDeviceTypeBytes() - Method in interface org.tensorflow.distruntime.CompleteGroupRequestOrBuilder
-
string device_type = 3;
- getDeviceTypeBytes() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
string device_type = 3;
- getDeviceTypeBytes() - Method in class org.tensorflow.distruntime.CompleteGroupResponse
-
string device_type = 3;
- getDeviceTypeBytes() - Method in interface org.tensorflow.distruntime.CompleteGroupResponseOrBuilder
-
string device_type = 3;
- getDeviceTypeBytes() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
string device_type = 8;
- getDeviceTypeBytes() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest
-
string device_type = 8;
- getDeviceTypeBytes() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
string device_type = 8;
- getDeviceTypeBytes() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
String representation of device_type.
- getDeviceTypeBytes() - Method in class org.tensorflow.framework.DeviceAttributes
-
String representation of device_type.
- getDeviceTypeBytes() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder
-
String representation of device_type.
- getDeviceTypeBytes() - Method in class org.tensorflow.framework.KernelDef.Builder
-
Type of device this kernel runs on.
- getDeviceTypeBytes() - Method in class org.tensorflow.framework.KernelDef
-
Type of device this kernel runs on.
- getDeviceTypeBytes() - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
Type of device this kernel runs on.
- getDevStats(int) - Method in class org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStats(int) - Method in class org.tensorflow.framework.StepStats
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStats(int) - Method in interface org.tensorflow.framework.StepStatsOrBuilder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsBuilder(int) - Method in class org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsBuilderList() - Method in class org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsCount() - Method in class org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsCount() - Method in class org.tensorflow.framework.StepStats
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsCount() - Method in interface org.tensorflow.framework.StepStatsOrBuilder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsList() - Method in class org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsList() - Method in class org.tensorflow.framework.StepStats
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsList() - Method in interface org.tensorflow.framework.StepStatsOrBuilder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsOrBuilder(int) - Method in class org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsOrBuilder(int) - Method in class org.tensorflow.framework.StepStats
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsOrBuilder(int) - Method in interface org.tensorflow.framework.StepStatsOrBuilder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsOrBuilderList() - Method in class org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsOrBuilderList() - Method in class org.tensorflow.framework.StepStats
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsOrBuilderList() - Method in interface org.tensorflow.framework.StepStatsOrBuilder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDim(int) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDim(int) - Method in class onnx.OnnxMlProto3.TensorShapeProto
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDim(int) - Method in interface onnx.OnnxMlProto3.TensorShapeProtoOrBuilder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDim(int) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDim(int) - Method in class onnx.OnnxProto3.TensorShapeProto
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDim(int) - Method in interface onnx.OnnxProto3.TensorShapeProtoOrBuilder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDim(int) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDim(int) - Method in class org.tensorflow.framework.TensorShapeProto
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDim(int) - Method in interface org.tensorflow.framework.TensorShapeProtoOrBuilder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimBuilder(int) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimBuilder(int) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimBuilder(int) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimBuilderList() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimBuilderList() - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimBuilderList() - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimCount() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimCount() - Method in class onnx.OnnxMlProto3.TensorShapeProto
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimCount() - Method in interface onnx.OnnxMlProto3.TensorShapeProtoOrBuilder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimCount() - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimCount() - Method in class onnx.OnnxProto3.TensorShapeProto
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimCount() - Method in interface onnx.OnnxProto3.TensorShapeProtoOrBuilder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimCount() - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimCount() - Method in class org.tensorflow.framework.TensorShapeProto
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimCount() - Method in interface org.tensorflow.framework.TensorShapeProtoOrBuilder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimension(INDArray, boolean) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Get the dimension associated with
the given ordering.
- getDimension() - Method in class org.nd4j.linalg.api.ops.BaseBroadcastBoolOp
-
- getDimension() - Method in class org.nd4j.linalg.api.ops.BaseBroadcastOp
-
- getDimension() - Method in class org.nd4j.linalg.api.ops.BaseScalarBoolOp
-
- getDimension() - Method in class org.nd4j.linalg.api.ops.BaseScalarOp
-
- getDimension() - Method in interface org.nd4j.linalg.api.ops.BroadcastOp
-
Dimension to do the vector op along.
- getDimension() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEps
-
- getDimension() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
-
- getDimension() - Method in interface org.nd4j.linalg.api.ops.ScalarOp
-
- getDimList() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimList() - Method in class onnx.OnnxMlProto3.TensorShapeProto
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimList() - Method in interface onnx.OnnxMlProto3.TensorShapeProtoOrBuilder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimList() - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimList() - Method in class onnx.OnnxProto3.TensorShapeProto
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimList() - Method in interface onnx.OnnxProto3.TensorShapeProtoOrBuilder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimList() - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimList() - Method in class org.tensorflow.framework.TensorShapeProto
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimList() - Method in interface org.tensorflow.framework.TensorShapeProtoOrBuilder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimOrBuilder(int) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimOrBuilder(int) - Method in class onnx.OnnxMlProto3.TensorShapeProto
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimOrBuilder(int) - Method in interface onnx.OnnxMlProto3.TensorShapeProtoOrBuilder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimOrBuilder(int) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimOrBuilder(int) - Method in class onnx.OnnxProto3.TensorShapeProto
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimOrBuilder(int) - Method in interface onnx.OnnxProto3.TensorShapeProtoOrBuilder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimOrBuilder(int) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimOrBuilder(int) - Method in class org.tensorflow.framework.TensorShapeProto
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimOrBuilder(int) - Method in interface org.tensorflow.framework.TensorShapeProtoOrBuilder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimOrBuilderList() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimOrBuilderList() - Method in class onnx.OnnxMlProto3.TensorShapeProto
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimOrBuilderList() - Method in interface onnx.OnnxMlProto3.TensorShapeProtoOrBuilder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimOrBuilderList() - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimOrBuilderList() - Method in class onnx.OnnxProto3.TensorShapeProto
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimOrBuilderList() - Method in interface onnx.OnnxProto3.TensorShapeProtoOrBuilder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimOrBuilderList() - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimOrBuilderList() - Method in class org.tensorflow.framework.TensorShapeProto
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimOrBuilderList() - Method in interface org.tensorflow.framework.TensorShapeProtoOrBuilder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimParam() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
namespace Shape
- getDimParam() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
-
namespace Shape
- getDimParam() - Method in interface onnx.OnnxMlProto3.TensorShapeProto.DimensionOrBuilder
-
namespace Shape
- getDimParam() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
namespace Shape
- getDimParam() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension
-
namespace Shape
- getDimParam() - Method in interface onnx.OnnxProto3.TensorShapeProto.DimensionOrBuilder
-
namespace Shape
- getDimParamBytes() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
namespace Shape
- getDimParamBytes() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
-
namespace Shape
- getDimParamBytes() - Method in interface onnx.OnnxMlProto3.TensorShapeProto.DimensionOrBuilder
-
namespace Shape
- getDimParamBytes() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
namespace Shape
- getDimParamBytes() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension
-
namespace Shape
- getDimParamBytes() - Method in interface onnx.OnnxProto3.TensorShapeProto.DimensionOrBuilder
-
namespace Shape
- getDims(int) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
The shape of the tensor.
- getDims(int) - Method in class onnx.OnnxMlProto3.TensorProto
-
The shape of the tensor.
- getDims(int) - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
The shape of the tensor.
- getDims(int) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
The shape of the tensor.
- getDims(int) - Method in class onnx.OnnxProto3.TensorProto
-
The shape of the tensor.
- getDims(int) - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
The shape of the tensor.
- getDimsCount() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
The shape of the tensor.
- getDimsCount() - Method in class onnx.OnnxMlProto3.TensorProto
-
The shape of the tensor.
- getDimsCount() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
The shape of the tensor.
- getDimsCount() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
The shape of the tensor.
- getDimsCount() - Method in class onnx.OnnxProto3.TensorProto
-
The shape of the tensor.
- getDimsCount() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
The shape of the tensor.
- getDimsList() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
The shape of the tensor.
- getDimsList() - Method in class onnx.OnnxMlProto3.TensorProto
-
The shape of the tensor.
- getDimsList() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
The shape of the tensor.
- getDimsList() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
The shape of the tensor.
- getDimsList() - Method in class onnx.OnnxProto3.TensorProto
-
The shape of the tensor.
- getDimsList() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
The shape of the tensor.
- getDimValue() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
int64 dim_value = 1;
- getDimValue() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
-
int64 dim_value = 1;
- getDimValue() - Method in interface onnx.OnnxMlProto3.TensorShapeProto.DimensionOrBuilder
-
int64 dim_value = 1;
- getDimValue() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
int64 dim_value = 1;
- getDimValue() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension
-
int64 dim_value = 1;
- getDimValue() - Method in interface onnx.OnnxProto3.TensorShapeProto.DimensionOrBuilder
-
int64 dim_value = 1;
- getDisableModelPruning() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
If true, don't remove unnecessary ops from the graph
- getDisableModelPruning() - Method in class org.tensorflow.framework.RewriterConfig
-
If true, don't remove unnecessary ops from the graph
- getDisableModelPruning() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
If true, don't remove unnecessary ops from the graph
- getDisableRpcLogging() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
-
If true, RPC logging will be disabled.
- getDisableRpcLogging() - Method in class org.tensorflow.distruntime.LoggingRequest
-
If true, RPC logging will be disabled.
- getDisableRpcLogging() - Method in interface org.tensorflow.distruntime.LoggingRequestOrBuilder
-
If true, RPC logging will be disabled.
- getDisplayName() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Display name for viewing in TensorBoard.
- getDisplayName() - Method in class org.tensorflow.framework.SummaryMetadata
-
Display name for viewing in TensorBoard.
- getDisplayName() - Method in interface org.tensorflow.framework.SummaryMetadataOrBuilder
-
Display name for viewing in TensorBoard.
- getDisplayNameBytes() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Display name for viewing in TensorBoard.
- getDisplayNameBytes() - Method in class org.tensorflow.framework.SummaryMetadata
-
Display name for viewing in TensorBoard.
- getDisplayNameBytes() - Method in interface org.tensorflow.framework.SummaryMetadataOrBuilder
-
Display name for viewing in TensorBoard.
- getDistributions() - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the primary distributions
factory
- getDmaOk() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
If true, use an out-of-band DMA mechanism to transfer the
received tensor.
- getDmaOk() - Method in class org.tensorflow.distruntime.RecvTensorRequest
-
If true, use an out-of-band DMA mechanism to transfer the
received tensor.
- getDmaOk() - Method in interface org.tensorflow.distruntime.RecvTensorRequestOrBuilder
-
If true, use an out-of-band DMA mechanism to transfer the
received tensor.
- getDoCommonSubexpressionElimination() - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
If true, optimize the graph using common subexpression elimination.
- getDoCommonSubexpressionElimination() - Method in class org.tensorflow.framework.OptimizerOptions
-
If true, optimize the graph using common subexpression elimination.
- getDoCommonSubexpressionElimination() - Method in interface org.tensorflow.framework.OptimizerOptionsOrBuilder
-
If true, optimize the graph using common subexpression elimination.
- getDoConstantFolding() - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
If true, perform constant folding optimization on the graph.
- getDoConstantFolding() - Method in class org.tensorflow.framework.OptimizerOptions
-
If true, perform constant folding optimization on the graph.
- getDoConstantFolding() - Method in interface org.tensorflow.framework.OptimizerOptionsOrBuilder
-
If true, perform constant folding optimization on the graph.
- getDocString() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
A human-readable documentation for this attribute.
- getDocString() - Method in class onnx.OnnxMlProto3.AttributeProto
-
A human-readable documentation for this attribute.
- getDocString() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
A human-readable documentation for this attribute.
- getDocString() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A human-readable documentation for this graph.
- getDocString() - Method in class onnx.OnnxMlProto3.GraphProto
-
A human-readable documentation for this graph.
- getDocString() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
A human-readable documentation for this graph.
- getDocString() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
A human-readable documentation for this model.
- getDocString() - Method in class onnx.OnnxMlProto3.ModelProto
-
A human-readable documentation for this model.
- getDocString() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
A human-readable documentation for this model.
- getDocString() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
A human-readable documentation for this node.
- getDocString() - Method in class onnx.OnnxMlProto3.NodeProto
-
A human-readable documentation for this node.
- getDocString() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
A human-readable documentation for this node.
- getDocString() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
A human-readable documentation for this tensor.
- getDocString() - Method in class onnx.OnnxMlProto3.TensorProto
-
A human-readable documentation for this tensor.
- getDocString() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
A human-readable documentation for this tensor.
- getDocString() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
A human-readable documentation for this value.
- getDocString() - Method in class onnx.OnnxMlProto3.ValueInfoProto
-
A human-readable documentation for this value.
- getDocString() - Method in interface onnx.OnnxMlProto3.ValueInfoProtoOrBuilder
-
A human-readable documentation for this value.
- getDocString() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
A human-readable documentation for this operator.
- getDocString() - Method in class onnx.OnnxOperatorsProto3.OperatorProto
-
A human-readable documentation for this operator.
- getDocString() - Method in interface onnx.OnnxOperatorsProto3.OperatorProtoOrBuilder
-
A human-readable documentation for this operator.
- getDocString() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
A human-readable documentation for this set of operators.
- getDocString() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
A human-readable documentation for this set of operators.
- getDocString() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
A human-readable documentation for this set of operators.
- getDocString() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
A human-readable documentation for this attribute.
- getDocString() - Method in class onnx.OnnxProto3.AttributeProto
-
A human-readable documentation for this attribute.
- getDocString() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
A human-readable documentation for this attribute.
- getDocString() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A human-readable documentation for this graph.
- getDocString() - Method in class onnx.OnnxProto3.GraphProto
-
A human-readable documentation for this graph.
- getDocString() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
A human-readable documentation for this graph.
- getDocString() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
A human-readable documentation for this model.
- getDocString() - Method in class onnx.OnnxProto3.ModelProto
-
A human-readable documentation for this model.
- getDocString() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
A human-readable documentation for this model.
- getDocString() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
A human-readable documentation for this node.
- getDocString() - Method in class onnx.OnnxProto3.NodeProto
-
A human-readable documentation for this node.
- getDocString() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
A human-readable documentation for this node.
- getDocString() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
A human-readable documentation for this tensor.
- getDocString() - Method in class onnx.OnnxProto3.TensorProto
-
A human-readable documentation for this tensor.
- getDocString() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
A human-readable documentation for this tensor.
- getDocString() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
A human-readable documentation for this value.
- getDocString() - Method in class onnx.OnnxProto3.ValueInfoProto
-
A human-readable documentation for this value.
- getDocString() - Method in interface onnx.OnnxProto3.ValueInfoProtoOrBuilder
-
A human-readable documentation for this value.
- getDocStringBytes() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
A human-readable documentation for this attribute.
- getDocStringBytes() - Method in class onnx.OnnxMlProto3.AttributeProto
-
A human-readable documentation for this attribute.
- getDocStringBytes() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
A human-readable documentation for this attribute.
- getDocStringBytes() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A human-readable documentation for this graph.
- getDocStringBytes() - Method in class onnx.OnnxMlProto3.GraphProto
-
A human-readable documentation for this graph.
- getDocStringBytes() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
A human-readable documentation for this graph.
- getDocStringBytes() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
A human-readable documentation for this model.
- getDocStringBytes() - Method in class onnx.OnnxMlProto3.ModelProto
-
A human-readable documentation for this model.
- getDocStringBytes() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
A human-readable documentation for this model.
- getDocStringBytes() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
A human-readable documentation for this node.
- getDocStringBytes() - Method in class onnx.OnnxMlProto3.NodeProto
-
A human-readable documentation for this node.
- getDocStringBytes() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
A human-readable documentation for this node.
- getDocStringBytes() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
A human-readable documentation for this tensor.
- getDocStringBytes() - Method in class onnx.OnnxMlProto3.TensorProto
-
A human-readable documentation for this tensor.
- getDocStringBytes() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
A human-readable documentation for this tensor.
- getDocStringBytes() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
A human-readable documentation for this value.
- getDocStringBytes() - Method in class onnx.OnnxMlProto3.ValueInfoProto
-
A human-readable documentation for this value.
- getDocStringBytes() - Method in interface onnx.OnnxMlProto3.ValueInfoProtoOrBuilder
-
A human-readable documentation for this value.
- getDocStringBytes() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
A human-readable documentation for this operator.
- getDocStringBytes() - Method in class onnx.OnnxOperatorsProto3.OperatorProto
-
A human-readable documentation for this operator.
- getDocStringBytes() - Method in interface onnx.OnnxOperatorsProto3.OperatorProtoOrBuilder
-
A human-readable documentation for this operator.
- getDocStringBytes() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
A human-readable documentation for this set of operators.
- getDocStringBytes() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
A human-readable documentation for this set of operators.
- getDocStringBytes() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
A human-readable documentation for this set of operators.
- getDocStringBytes() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
A human-readable documentation for this attribute.
- getDocStringBytes() - Method in class onnx.OnnxProto3.AttributeProto
-
A human-readable documentation for this attribute.
- getDocStringBytes() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
A human-readable documentation for this attribute.
- getDocStringBytes() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A human-readable documentation for this graph.
- getDocStringBytes() - Method in class onnx.OnnxProto3.GraphProto
-
A human-readable documentation for this graph.
- getDocStringBytes() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
A human-readable documentation for this graph.
- getDocStringBytes() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
A human-readable documentation for this model.
- getDocStringBytes() - Method in class onnx.OnnxProto3.ModelProto
-
A human-readable documentation for this model.
- getDocStringBytes() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
A human-readable documentation for this model.
- getDocStringBytes() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
A human-readable documentation for this node.
- getDocStringBytes() - Method in class onnx.OnnxProto3.NodeProto
-
A human-readable documentation for this node.
- getDocStringBytes() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
A human-readable documentation for this node.
- getDocStringBytes() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
A human-readable documentation for this tensor.
- getDocStringBytes() - Method in class onnx.OnnxProto3.TensorProto
-
A human-readable documentation for this tensor.
- getDocStringBytes() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
A human-readable documentation for this tensor.
- getDocStringBytes() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
A human-readable documentation for this value.
- getDocStringBytes() - Method in class onnx.OnnxProto3.ValueInfoProto
-
A human-readable documentation for this value.
- getDocStringBytes() - Method in interface onnx.OnnxProto3.ValueInfoProtoOrBuilder
-
A human-readable documentation for this value.
- getDoFunctionInlining() - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
If true, perform function inlining on the graph.
- getDoFunctionInlining() - Method in class org.tensorflow.framework.OptimizerOptions
-
If true, perform function inlining on the graph.
- getDoFunctionInlining() - Method in interface org.tensorflow.framework.OptimizerOptionsOrBuilder
-
If true, perform function inlining on the graph.
- getDomain() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Domain name of the model.
- getDomain() - Method in class onnx.OnnxMlProto3.ModelProto
-
Domain name of the model.
- getDomain() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
Domain name of the model.
- getDomain() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
The domain of the OperatorSet that specifies the operator named by op_type.
- getDomain() - Method in class onnx.OnnxMlProto3.NodeProto
-
The domain of the OperatorSet that specifies the operator named by op_type.
- getDomain() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
The domain of the OperatorSet that specifies the operator named by op_type.
- getDomain() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
The domain of the operator set being identified.
- getDomain() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto
-
The domain of the operator set being identified.
- getDomain() - Method in interface onnx.OnnxMlProto3.OperatorSetIdProtoOrBuilder
-
The domain of the operator set being identified.
- getDomain() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).
- getDomain() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).
- getDomain() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).
- getDomain() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Domain name of the model.
- getDomain() - Method in class onnx.OnnxProto3.ModelProto
-
Domain name of the model.
- getDomain() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
Domain name of the model.
- getDomain() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
The domain of the OperatorSet that specifies the operator named by op_type.
- getDomain() - Method in class onnx.OnnxProto3.NodeProto
-
The domain of the OperatorSet that specifies the operator named by op_type.
- getDomain() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
The domain of the OperatorSet that specifies the operator named by op_type.
- getDomain() - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
The domain of the operator set being identified.
- getDomain() - Method in class onnx.OnnxProto3.OperatorSetIdProto
-
The domain of the operator set being identified.
- getDomain() - Method in interface onnx.OnnxProto3.OperatorSetIdProtoOrBuilder
-
The domain of the operator set being identified.
- getDomainBytes() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Domain name of the model.
- getDomainBytes() - Method in class onnx.OnnxMlProto3.ModelProto
-
Domain name of the model.
- getDomainBytes() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
Domain name of the model.
- getDomainBytes() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
The domain of the OperatorSet that specifies the operator named by op_type.
- getDomainBytes() - Method in class onnx.OnnxMlProto3.NodeProto
-
The domain of the OperatorSet that specifies the operator named by op_type.
- getDomainBytes() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
The domain of the OperatorSet that specifies the operator named by op_type.
- getDomainBytes() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
The domain of the operator set being identified.
- getDomainBytes() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto
-
The domain of the operator set being identified.
- getDomainBytes() - Method in interface onnx.OnnxMlProto3.OperatorSetIdProtoOrBuilder
-
The domain of the operator set being identified.
- getDomainBytes() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).
- getDomainBytes() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).
- getDomainBytes() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).
- getDomainBytes() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Domain name of the model.
- getDomainBytes() - Method in class onnx.OnnxProto3.ModelProto
-
Domain name of the model.
- getDomainBytes() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
Domain name of the model.
- getDomainBytes() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
The domain of the OperatorSet that specifies the operator named by op_type.
- getDomainBytes() - Method in class onnx.OnnxProto3.NodeProto
-
The domain of the OperatorSet that specifies the operator named by op_type.
- getDomainBytes() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
The domain of the OperatorSet that specifies the operator named by op_type.
- getDomainBytes() - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
The domain of the operator set being identified.
- getDomainBytes() - Method in class onnx.OnnxProto3.OperatorSetIdProto
-
The domain of the operator set being identified.
- getDomainBytes() - Method in interface onnx.OnnxProto3.OperatorSetIdProtoOrBuilder
-
The domain of the operator set being identified.
- getDouble(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the elements at the specified indices
- getDouble(long...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getDouble(long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getDouble(long, long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getDouble(long...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getDouble(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getDouble(long) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getDouble(long, long) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getDouble(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getDouble(long...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getDouble(long) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getDouble(long, long) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getDouble(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get a double value at the specified indices.
- getDouble(long...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- getDouble(long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get the double value at the specified linear index in the array
- getDouble(long, long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get the double value at the specified indices.
- getDouble(INDArray, int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get a double based on the array and given indices
- getDouble(INDArray, long...) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getDoubleData(int) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleData(int) - Method in class onnx.OnnxMlProto3.TensorProto
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleData(int) - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleData(int) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleData(int) - Method in class onnx.OnnxProto3.TensorProto
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleData(int) - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleData(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Returns the double data
for this ndarray.
- getDoubleData(DataBuffer) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Returns the double data
for this buffer.
- getDoubleDataCount() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleDataCount() - Method in class onnx.OnnxMlProto3.TensorProto
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleDataCount() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleDataCount() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleDataCount() - Method in class onnx.OnnxProto3.TensorProto
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleDataCount() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleDataList() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleDataList() - Method in class onnx.OnnxMlProto3.TensorProto
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleDataList() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleDataList() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleDataList() - Method in class onnx.OnnxProto3.TensorProto
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleDataList() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleUnsafe(long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getDoubleUnsafe(long) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getDoubleUnsafe(long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get a scalar
at the given linear offset
- getDoubleVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_DOUBLE.
- getDoubleVal(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_DOUBLE.
- getDoubleVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_DOUBLE.
- getDoubleValCount() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_DOUBLE.
- getDoubleValCount() - Method in class org.tensorflow.framework.TensorProto
-
DT_DOUBLE.
- getDoubleValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_DOUBLE.
- getDoubleValList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_DOUBLE.
- getDoubleValList() - Method in class org.tensorflow.framework.TensorProto
-
DT_DOUBLE.
- getDoubleValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_DOUBLE.
- getDoubleValues() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
-
- getDstDevice() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
string dst_device = 9;
- getDstDevice() - Method in class org.tensorflow.distruntime.RecvBufRequest
-
string dst_device = 9;
- getDstDevice() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
string dst_device = 9;
- getDstDeviceBytes() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
string dst_device = 9;
- getDstDeviceBytes() - Method in class org.tensorflow.distruntime.RecvBufRequest
-
string dst_device = 9;
- getDstDeviceBytes() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
string dst_device = 9;
- getDtype() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
.tensorflow.DataType dtype = 4;
- getDtype() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
.tensorflow.DataType dtype = 4;
- getDtype() - Method in interface org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder
-
.tensorflow.DataType dtype = 4;
- getDtype() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
.tensorflow.DataType dtype = 5;
- getDtype() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo
-
.tensorflow.DataType dtype = 5;
- getDtype() - Method in interface org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder
-
.tensorflow.DataType dtype = 5;
- getDtype() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
.tensorflow.DataType dtype = 3;
- getDtype() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo
-
.tensorflow.DataType dtype = 3;
- getDtype() - Method in interface org.tensorflow.framework.GraphTransferGraphInputNodeInfoOrBuilder
-
.tensorflow.DataType dtype = 3;
- getDtype() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
.tensorflow.DataType dtype = 3;
- getDtype() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
-
.tensorflow.DataType dtype = 3;
- getDtype() - Method in interface org.tensorflow.framework.GraphTransferGraphOutputNodeInfoOrBuilder
-
.tensorflow.DataType dtype = 3;
- getDtype() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
.tensorflow.DataType dtype = 1;
- getDtype() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
.tensorflow.DataType dtype = 1;
- getDtype() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder
-
.tensorflow.DataType dtype = 1;
- getDtype() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Data type of tensor elements
- getDtype() - Method in class org.tensorflow.framework.TensorDescription
-
Data type of tensor elements
- getDtype() - Method in interface org.tensorflow.framework.TensorDescriptionOrBuilder
-
Data type of tensor elements
- getDtype() - Method in class org.tensorflow.framework.TensorInfo.Builder
-
.tensorflow.DataType dtype = 2;
- getDtype() - Method in class org.tensorflow.framework.TensorInfo
-
.tensorflow.DataType dtype = 2;
- getDtype() - Method in interface org.tensorflow.framework.TensorInfoOrBuilder
-
.tensorflow.DataType dtype = 2;
- getDtype() - Method in class org.tensorflow.framework.TensorProto.Builder
-
.tensorflow.DataType dtype = 1;
- getDtype() - Method in class org.tensorflow.framework.TensorProto
-
.tensorflow.DataType dtype = 1;
- getDtype() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
.tensorflow.DataType dtype = 1;
- getDtype() - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
The tensor dtype and shape.
- getDtype() - Method in class org.tensorflow.util.BundleEntryProto
-
The tensor dtype and shape.
- getDtype() - Method in interface org.tensorflow.util.BundleEntryProtoOrBuilder
-
The tensor dtype and shape.
- getDtypeValue() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
.tensorflow.DataType dtype = 4;
- getDtypeValue() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
.tensorflow.DataType dtype = 4;
- getDtypeValue() - Method in interface org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder
-
.tensorflow.DataType dtype = 4;
- getDtypeValue() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
.tensorflow.DataType dtype = 5;
- getDtypeValue() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo
-
.tensorflow.DataType dtype = 5;
- getDtypeValue() - Method in interface org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder
-
.tensorflow.DataType dtype = 5;
- getDtypeValue() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
.tensorflow.DataType dtype = 3;
- getDtypeValue() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo
-
.tensorflow.DataType dtype = 3;
- getDtypeValue() - Method in interface org.tensorflow.framework.GraphTransferGraphInputNodeInfoOrBuilder
-
.tensorflow.DataType dtype = 3;
- getDtypeValue() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
.tensorflow.DataType dtype = 3;
- getDtypeValue() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
-
.tensorflow.DataType dtype = 3;
- getDtypeValue() - Method in interface org.tensorflow.framework.GraphTransferGraphOutputNodeInfoOrBuilder
-
.tensorflow.DataType dtype = 3;
- getDtypeValue() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
.tensorflow.DataType dtype = 1;
- getDtypeValue() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
.tensorflow.DataType dtype = 1;
- getDtypeValue() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder
-
.tensorflow.DataType dtype = 1;
- getDtypeValue() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Data type of tensor elements
- getDtypeValue() - Method in class org.tensorflow.framework.TensorDescription
-
Data type of tensor elements
- getDtypeValue() - Method in interface org.tensorflow.framework.TensorDescriptionOrBuilder
-
Data type of tensor elements
- getDtypeValue() - Method in class org.tensorflow.framework.TensorInfo.Builder
-
.tensorflow.DataType dtype = 2;
- getDtypeValue() - Method in class org.tensorflow.framework.TensorInfo
-
.tensorflow.DataType dtype = 2;
- getDtypeValue() - Method in interface org.tensorflow.framework.TensorInfoOrBuilder
-
.tensorflow.DataType dtype = 2;
- getDtypeValue() - Method in class org.tensorflow.framework.TensorProto.Builder
-
.tensorflow.DataType dtype = 1;
- getDtypeValue() - Method in class org.tensorflow.framework.TensorProto
-
.tensorflow.DataType dtype = 1;
- getDtypeValue() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
.tensorflow.DataType dtype = 1;
- getDtypeValue() - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
The tensor dtype and shape.
- getDtypeValue() - Method in class org.tensorflow.util.BundleEntryProto
-
The tensor dtype and shape.
- getDtypeValue() - Method in interface org.tensorflow.util.BundleEntryProtoOrBuilder
-
The tensor dtype and shape.
- getDuration() - Method in class org.tensorflow.distruntime.TraceOpts.Builder
-
Length of the trace to be taken, in seconds.
- getDuration() - Method in class org.tensorflow.distruntime.TraceOpts
-
Length of the trace to be taken, in seconds.
- getDuration() - Method in interface org.tensorflow.distruntime.TraceOptsOrBuilder
-
Length of the trace to be taken, in seconds.
- getEigenvalues() - Method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
- getEigenvectors() - Method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
- getElementName(int) - Method in class org.nd4j.linalg.profiler.data.primitives.StackDescriptor
-
- getElemType() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
The type and optional shape of each element of the sequence.
- getElemType() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence
-
The type and optional shape of each element of the sequence.
- getElemType() - Method in interface onnx.OnnxMlProto3.TypeProto.SequenceOrBuilder
-
The type and optional shape of each element of the sequence.
- getElemType() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- getElemType() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- getElemType() - Method in interface onnx.OnnxMlProto3.TypeProto.TensorOrBuilder
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- getElemType() - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- getElemType() - Method in class onnx.OnnxProto3.TypeProto.Tensor
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- getElemType() - Method in interface onnx.OnnxProto3.TypeProto.TensorOrBuilder
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- getElemTypeBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
The type and optional shape of each element of the sequence.
- getElemTypeOrBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
The type and optional shape of each element of the sequence.
- getElemTypeOrBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence
-
The type and optional shape of each element of the sequence.
- getElemTypeOrBuilder() - Method in interface onnx.OnnxMlProto3.TypeProto.SequenceOrBuilder
-
The type and optional shape of each element of the sequence.
- getElemTypeValue() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- getElemTypeValue() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- getElemTypeValue() - Method in interface onnx.OnnxMlProto3.TypeProto.TensorOrBuilder
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- getElemTypeValue() - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- getElemTypeValue() - Method in class onnx.OnnxProto3.TypeProto.Tensor
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- getElemTypeValue() - Method in interface onnx.OnnxProto3.TypeProto.TensorOrBuilder
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- getEnable() - Method in class org.tensorflow.framework.AutoParallelOptions.Builder
-
bool enable = 1;
- getEnable() - Method in class org.tensorflow.framework.AutoParallelOptions
-
bool enable = 1;
- getEnable() - Method in interface org.tensorflow.framework.AutoParallelOptionsOrBuilder
-
bool enable = 1;
- getEnableBfloat16Sendrecv() - Method in class org.tensorflow.framework.GraphOptions.Builder
-
If true, transfer float values between processes as bfloat16.
- getEnableBfloat16Sendrecv() - Method in class org.tensorflow.framework.GraphOptions
-
If true, transfer float values between processes as bfloat16.
- getEnableBfloat16Sendrecv() - Method in interface org.tensorflow.framework.GraphOptionsOrBuilder
-
If true, transfer float values between processes as bfloat16.
- getEnableOp(int) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder
-
If present, only perform optimization for these ops.
- getEnableOp(int) - Method in class org.tensorflow.framework.ScopedAllocatorOptions
-
If present, only perform optimization for these ops.
- getEnableOp(int) - Method in interface org.tensorflow.framework.ScopedAllocatorOptionsOrBuilder
-
If present, only perform optimization for these ops.
- getEnableOpBytes(int) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder
-
If present, only perform optimization for these ops.
- getEnableOpBytes(int) - Method in class org.tensorflow.framework.ScopedAllocatorOptions
-
If present, only perform optimization for these ops.
- getEnableOpBytes(int) - Method in interface org.tensorflow.framework.ScopedAllocatorOptionsOrBuilder
-
If present, only perform optimization for these ops.
- getEnableOpCount() - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder
-
If present, only perform optimization for these ops.
- getEnableOpCount() - Method in class org.tensorflow.framework.ScopedAllocatorOptions
-
If present, only perform optimization for these ops.
- getEnableOpCount() - Method in interface org.tensorflow.framework.ScopedAllocatorOptionsOrBuilder
-
If present, only perform optimization for these ops.
- getEnableOpList() - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder
-
If present, only perform optimization for these ops.
- getEnableOpList() - Method in class org.tensorflow.framework.ScopedAllocatorOptions
-
If present, only perform optimization for these ops.
- getEnableOpList() - Method in interface org.tensorflow.framework.ScopedAllocatorOptionsOrBuilder
-
If present, only perform optimization for these ops.
- getEnableRecvScheduling() - Method in class org.tensorflow.framework.GraphOptions.Builder
-
If true, use control flow to schedule the activation of Recv nodes.
- getEnableRecvScheduling() - Method in class org.tensorflow.framework.GraphOptions
-
If true, use control flow to schedule the activation of Recv nodes.
- getEnableRecvScheduling() - Method in interface org.tensorflow.framework.GraphOptionsOrBuilder
-
If true, use control flow to schedule the activation of Recv nodes.
- getEnableRpcLogging() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
-
If true, RPC logging will be enabled.
- getEnableRpcLogging() - Method in class org.tensorflow.distruntime.LoggingRequest
-
If true, RPC logging will be enabled.
- getEnableRpcLogging() - Method in interface org.tensorflow.distruntime.LoggingRequestOrBuilder
-
If true, RPC logging will be enabled.
- getEncodedAudioString() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
Encoded audio data and its associated RFC 2045 content type (e.g.
- getEncodedAudioString() - Method in class org.tensorflow.framework.Summary.Audio
-
Encoded audio data and its associated RFC 2045 content type (e.g.
- getEncodedAudioString() - Method in interface org.tensorflow.framework.Summary.AudioOrBuilder
-
Encoded audio data and its associated RFC 2045 content type (e.g.
- getEncodedImageString() - Method in class org.tensorflow.framework.Summary.Image.Builder
-
Image data in encoded format.
- getEncodedImageString() - Method in class org.tensorflow.framework.Summary.Image
-
Image data in encoded format.
- getEncodedImageString() - Method in interface org.tensorflow.framework.Summary.ImageOrBuilder
-
Image data in encoded format.
- getEncodingCase() - Method in class org.tensorflow.framework.TensorInfo.Builder
-
- getEncodingCase() - Method in class org.tensorflow.framework.TensorInfo
-
- getEncodingCase() - Method in interface org.tensorflow.framework.TensorInfoOrBuilder
-
- getEnd() - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
int64 end = 2;
- getEnd() - Method in class onnx.OnnxMlProto3.TensorProto.Segment
-
int64 end = 2;
- getEnd() - Method in interface onnx.OnnxMlProto3.TensorProto.SegmentOrBuilder
-
int64 end = 2;
- getEnd() - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
int64 end = 2;
- getEnd() - Method in class onnx.OnnxProto3.TensorProto.Segment
-
int64 end = 2;
- getEnd() - Method in interface onnx.OnnxProto3.TensorProto.SegmentOrBuilder
-
int64 end = 2;
- getEndianness() - Method in class org.tensorflow.util.BundleHeaderProto.Builder
-
.tensorflow.BundleHeaderProto.Endianness endianness = 2;
- getEndianness() - Method in class org.tensorflow.util.BundleHeaderProto
-
.tensorflow.BundleHeaderProto.Endianness endianness = 2;
- getEndianness() - Method in interface org.tensorflow.util.BundleHeaderProtoOrBuilder
-
.tensorflow.BundleHeaderProto.Endianness endianness = 2;
- getEndiannessValue() - Method in class org.tensorflow.util.BundleHeaderProto.Builder
-
.tensorflow.BundleHeaderProto.Endianness endianness = 2;
- getEndiannessValue() - Method in class org.tensorflow.util.BundleHeaderProto
-
.tensorflow.BundleHeaderProto.Endianness endianness = 2;
- getEndiannessValue() - Method in interface org.tensorflow.util.BundleHeaderProtoOrBuilder
-
.tensorflow.BundleHeaderProto.Endianness endianness = 2;
- getEndpoint(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpoint(int) - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpoint(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointBuilderList() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointCount() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointCount() - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointCount() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointList() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointList() - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointList() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointOrBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointOrBuilder(int) - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointOrBuilder(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointOrBuilderList() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointOrBuilderList() - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointOrBuilderList() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEnqueueOpName(int) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
A list of enqueue operations.
- getEnqueueOpName(int) - Method in class org.tensorflow.framework.QueueRunnerDef
-
A list of enqueue operations.
- getEnqueueOpName(int) - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder
-
A list of enqueue operations.
- getEnqueueOpNameBytes(int) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
A list of enqueue operations.
- getEnqueueOpNameBytes(int) - Method in class org.tensorflow.framework.QueueRunnerDef
-
A list of enqueue operations.
- getEnqueueOpNameBytes(int) - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder
-
A list of enqueue operations.
- getEnqueueOpNameCount() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
A list of enqueue operations.
- getEnqueueOpNameCount() - Method in class org.tensorflow.framework.QueueRunnerDef
-
A list of enqueue operations.
- getEnqueueOpNameCount() - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder
-
A list of enqueue operations.
- getEnqueueOpNameList() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
A list of enqueue operations.
- getEnqueueOpNameList() - Method in class org.tensorflow.framework.QueueRunnerDef
-
A list of enqueue operations.
- getEnqueueOpNameList() - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder
-
A list of enqueue operations.
- getEntry(int, int) - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
-
Get entry i,j in the matrix
- getEntryName() - Method in class org.nd4j.linalg.profiler.data.primitives.StackDescriptor
-
- getEnvironment() - Static method in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- getEnvironment() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Deprecated.
- getEnvironment() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties
-
Deprecated.
- getEnvironment() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Deprecated.
- getEnvironmentCount() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
- getEnvironmentCount() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties
-
- getEnvironmentCount() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Version of the tools and libraries used with this device (e.g.
- getEnvironmentInformation() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
This method return set of key/value and key/key/value objects, describing current environment
- getEnvironmentInformation() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method return set of key/value and
key/key/value objects,
describing current environment
- getEnvironmentMap() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Version of the tools and libraries used with this device (e.g.
- getEnvironmentMap() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties
-
Version of the tools and libraries used with this device (e.g.
- getEnvironmentMap() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Version of the tools and libraries used with this device (e.g.
- getEnvironmentOrDefault(String, String) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Version of the tools and libraries used with this device (e.g.
- getEnvironmentOrDefault(String, String) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties
-
Version of the tools and libraries used with this device (e.g.
- getEnvironmentOrDefault(String, String) - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Version of the tools and libraries used with this device (e.g.
- getEnvironmentOrThrow(String) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Version of the tools and libraries used with this device (e.g.
- getEnvironmentOrThrow(String) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties
-
Version of the tools and libraries used with this device (e.g.
- getEnvironmentOrThrow(String) - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Version of the tools and libraries used with this device (e.g.
- getErrorCode() - Method in error org.nd4j.linalg.api.blas.BlasException
-
- getExampleMetaData(Class<T>) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Get the example metadata, or null if no metadata has been set
Note: this method results in an unchecked cast - care should be taken when using this!
- getExampleMetaData() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Get the example metadata, or null if no metadata has been set
- getExampleMetaData(Class<T>) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get the example metadata, or null if no metadata has been set
Note: this method results in an unchecked cast - care should be taken when using this!
- getExampleMetaData() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get the example metadata, or null if no metadata has been set
- getExampleMetaData() - Method in class org.nd4j.linalg.dataset.DataSet
-
- getExampleMetaData(Class<T>) - Method in class org.nd4j.linalg.dataset.DataSet
-
- getExampleMetaData() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getExampleMetaData(Class<T>) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getExclusiveResourceAccess() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder
-
Whether this operation requires exclusive access to its resources,
(i.e., no other CriticalSections may request the same resources).
- getExclusiveResourceAccess() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef
-
Whether this operation requires exclusive access to its resources,
(i.e., no other CriticalSections may request the same resources).
- getExclusiveResourceAccess() - Method in interface org.tensorflow.framework.CriticalSectionExecutionDefOrBuilder
-
Whether this operation requires exclusive access to its resources,
(i.e., no other CriticalSections may request the same resources).
- getExecOpts() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
Options for this step.
- getExecOpts() - Method in class org.tensorflow.distruntime.RunGraphRequest
-
Options for this step.
- getExecOpts() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
Options for this step.
- getExecOptsBuilder() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
Options for this step.
- getExecOptsOrBuilder() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
Options for this step.
- getExecOptsOrBuilder() - Method in class org.tensorflow.distruntime.RunGraphRequest
-
Options for this step.
- getExecOptsOrBuilder() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
Options for this step.
- getExecuteInCriticalSectionName() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder
-
Name of the critical section handle.
- getExecuteInCriticalSectionName() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef
-
Name of the critical section handle.
- getExecuteInCriticalSectionName() - Method in interface org.tensorflow.framework.CriticalSectionExecutionDefOrBuilder
-
Name of the critical section handle.
- getExecuteInCriticalSectionNameBytes() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder
-
Name of the critical section handle.
- getExecuteInCriticalSectionNameBytes() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef
-
Name of the critical section handle.
- getExecuteInCriticalSectionNameBytes() - Method in interface org.tensorflow.framework.CriticalSectionExecutionDefOrBuilder
-
Name of the critical section handle.
- getExecutioner() - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the operation executioner instance
- getExecutionerType() - Method in class org.nd4j.autodiff.execution.BasicGraphExecutioner
-
This method returns Type of this executioner
- getExecutionerType() - Method in interface org.nd4j.autodiff.execution.GraphExecutioner
-
This method returns Type of this executioner
- getExecutorName() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Executor's name
- getExecutorName() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Executor's name
- getExecutorName() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Executor's name
- getExecutorNameBytes() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Executor's name
- getExecutorNameBytes() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Executor's name
- getExecutorNameBytes() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Executor's name
- getExecutorService() - Static method in class org.nd4j.linalg.executors.ExecutorServiceProvider
-
- getExperimental() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
.tensorflow.ConfigProto.Experimental experimental = 16;
- getExperimental() - Method in class org.tensorflow.framework.ConfigProto
-
.tensorflow.ConfigProto.Experimental experimental = 16;
- getExperimental() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
.tensorflow.ConfigProto.Experimental experimental = 16;
- getExperimental() - Method in class org.tensorflow.framework.GPUOptions.Builder
-
Everything inside experimental is subject to change and is not subject
to API stability guarantees in
https://www.tensorflow.org/guide/version_compat.
- getExperimental() - Method in class org.tensorflow.framework.GPUOptions
-
Everything inside experimental is subject to change and is not subject
to API stability guarantees in
https://www.tensorflow.org/guide/version_compat.
- getExperimental() - Method in interface org.tensorflow.framework.GPUOptionsOrBuilder
-
Everything inside experimental is subject to change and is not subject
to API stability guarantees in
https://www.tensorflow.org/guide/version_compat.
- getExperimental() - Method in class org.tensorflow.framework.RunOptions.Builder
-
.tensorflow.RunOptions.Experimental experimental = 8;
- getExperimental() - Method in class org.tensorflow.framework.RunOptions
-
.tensorflow.RunOptions.Experimental experimental = 8;
- getExperimental() - Method in interface org.tensorflow.framework.RunOptionsOrBuilder
-
.tensorflow.RunOptions.Experimental experimental = 8;
- getExperimentalBuilder() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
.tensorflow.ConfigProto.Experimental experimental = 16;
- getExperimentalBuilder() - Method in class org.tensorflow.framework.GPUOptions.Builder
-
Everything inside experimental is subject to change and is not subject
to API stability guarantees in
https://www.tensorflow.org/guide/version_compat.
- getExperimentalBuilder() - Method in class org.tensorflow.framework.RunOptions.Builder
-
.tensorflow.RunOptions.Experimental experimental = 8;
- getExperimentalOrBuilder() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
.tensorflow.ConfigProto.Experimental experimental = 16;
- getExperimentalOrBuilder() - Method in class org.tensorflow.framework.ConfigProto
-
.tensorflow.ConfigProto.Experimental experimental = 16;
- getExperimentalOrBuilder() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
.tensorflow.ConfigProto.Experimental experimental = 16;
- getExperimentalOrBuilder() - Method in class org.tensorflow.framework.GPUOptions.Builder
-
Everything inside experimental is subject to change and is not subject
to API stability guarantees in
https://www.tensorflow.org/guide/version_compat.
- getExperimentalOrBuilder() - Method in class org.tensorflow.framework.GPUOptions
-
Everything inside experimental is subject to change and is not subject
to API stability guarantees in
https://www.tensorflow.org/guide/version_compat.
- getExperimentalOrBuilder() - Method in interface org.tensorflow.framework.GPUOptionsOrBuilder
-
Everything inside experimental is subject to change and is not subject
to API stability guarantees in
https://www.tensorflow.org/guide/version_compat.
- getExperimentalOrBuilder() - Method in class org.tensorflow.framework.RunOptions.Builder
-
.tensorflow.RunOptions.Experimental experimental = 8;
- getExperimentalOrBuilder() - Method in class org.tensorflow.framework.RunOptions
-
.tensorflow.RunOptions.Experimental experimental = 8;
- getExperimentalOrBuilder() - Method in interface org.tensorflow.framework.RunOptionsOrBuilder
-
.tensorflow.RunOptions.Experimental experimental = 8;
- getExplanation() - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
Explanation of why it was deprecated and what to use instead.
- getExplanation() - Method in class org.tensorflow.framework.OpDeprecation
-
Explanation of why it was deprecated and what to use instead.
- getExplanation() - Method in interface org.tensorflow.framework.OpDeprecationOrBuilder
-
Explanation of why it was deprecated and what to use instead.
- getExplanationBytes() - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
Explanation of why it was deprecated and what to use instead.
- getExplanationBytes() - Method in class org.tensorflow.framework.OpDeprecation
-
Explanation of why it was deprecated and what to use instead.
- getExplanationBytes() - Method in interface org.tensorflow.framework.OpDeprecationOrBuilder
-
Explanation of why it was deprecated and what to use instead.
- getExtent(int) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- getExtent(int) - Method in class org.tensorflow.framework.TensorSliceProto
-
Extent of the slice in all tensor dimensions.
- getExtent(int) - Method in interface org.tensorflow.framework.TensorSliceProtoOrBuilder
-
Extent of the slice in all tensor dimensions.
- getExtentBuilder(int) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- getExtentBuilderList() - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- getExtentCount() - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- getExtentCount() - Method in class org.tensorflow.framework.TensorSliceProto
-
Extent of the slice in all tensor dimensions.
- getExtentCount() - Method in interface org.tensorflow.framework.TensorSliceProtoOrBuilder
-
Extent of the slice in all tensor dimensions.
- getExtentList() - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- getExtentList() - Method in class org.tensorflow.framework.TensorSliceProto
-
Extent of the slice in all tensor dimensions.
- getExtentList() - Method in interface org.tensorflow.framework.TensorSliceProtoOrBuilder
-
Extent of the slice in all tensor dimensions.
- getExtentOrBuilder(int) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- getExtentOrBuilder(int) - Method in class org.tensorflow.framework.TensorSliceProto
-
Extent of the slice in all tensor dimensions.
- getExtentOrBuilder(int) - Method in interface org.tensorflow.framework.TensorSliceProtoOrBuilder
-
Extent of the slice in all tensor dimensions.
- getExtentOrBuilderList() - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- getExtentOrBuilderList() - Method in class org.tensorflow.framework.TensorSliceProto
-
Extent of the slice in all tensor dimensions.
- getExtentOrBuilderList() - Method in interface org.tensorflow.framework.TensorSliceProtoOrBuilder
-
Extent of the slice in all tensor dimensions.
- getExternalValues() - Method in class org.tensorflow.framework.ValuesDef.Builder
-
Deprecated.
- getExternalValues() - Method in class org.tensorflow.framework.ValuesDef
-
Deprecated.
- getExternalValues() - Method in interface org.tensorflow.framework.ValuesDefOrBuilder
-
Deprecated.
- getExternalValuesCount() - Method in class org.tensorflow.framework.ValuesDef.Builder
-
- getExternalValuesCount() - Method in class org.tensorflow.framework.ValuesDef
-
- getExternalValuesCount() - Method in interface org.tensorflow.framework.ValuesDefOrBuilder
-
Value names referenced by but external to this context.
- getExternalValuesMap() - Method in class org.tensorflow.framework.ValuesDef.Builder
-
Value names referenced by but external to this context.
- getExternalValuesMap() - Method in class org.tensorflow.framework.ValuesDef
-
Value names referenced by but external to this context.
- getExternalValuesMap() - Method in interface org.tensorflow.framework.ValuesDefOrBuilder
-
Value names referenced by but external to this context.
- getExternalValuesOrDefault(String, String) - Method in class org.tensorflow.framework.ValuesDef.Builder
-
Value names referenced by but external to this context.
- getExternalValuesOrDefault(String, String) - Method in class org.tensorflow.framework.ValuesDef
-
Value names referenced by but external to this context.
- getExternalValuesOrDefault(String, String) - Method in interface org.tensorflow.framework.ValuesDefOrBuilder
-
Value names referenced by but external to this context.
- getExternalValuesOrThrow(String) - Method in class org.tensorflow.framework.ValuesDef.Builder
-
Value names referenced by but external to this context.
- getExternalValuesOrThrow(String) - Method in class org.tensorflow.framework.ValuesDef
-
Value names referenced by but external to this context.
- getExternalValuesOrThrow(String) - Method in interface org.tensorflow.framework.ValuesDefOrBuilder
-
Value names referenced by but external to this context.
- getExtraArgs() - Method in class org.nd4j.linalg.api.ops.random.compat.RandomStandardNormal
-
- getF() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
Exactly ONE of the following fields must be present for this version of the IR
- getF() - Method in class onnx.OnnxMlProto3.AttributeProto
-
Exactly ONE of the following fields must be present for this version of the IR
- getF() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
Exactly ONE of the following fields must be present for this version of the IR
- getF() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
Exactly ONE of the following fields must be present for this version of the IR
- getF() - Method in class onnx.OnnxProto3.AttributeProto
-
Exactly ONE of the following fields must be present for this version of the IR
- getF() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
Exactly ONE of the following fields must be present for this version of the IR
- getF() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"float"
- getF() - Method in class org.tensorflow.framework.AttrValue
-
"float"
- getF(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(float)"
- getF(int) - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(float)"
- getF(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(float)"
- getF() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
"float"
- getFalseBody() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.IfDerivative
-
- getFalseBodyExecution() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.IfDerivative
-
- getFalseBodyName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.IfDerivative
-
- getFalsePositiveRate(int) - Method in class org.nd4j.evaluation.curves.RocCurve
-
- getFCount() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(float)"
- getFCount() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(float)"
- getFCount() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(float)"
- getFeatureMean(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize
-
- getFeatures() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Returns the features array for the DataSet
- getFeatures() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get all of the input features, as an array of INDArrays
- getFeatures(int) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get a single feature/input array
- getFeatures() - Method in class org.nd4j.linalg.dataset.DataSet
-
- getFeatures() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getFeatures(int) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getFeaturesMaskArray() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Input mask array: a mask array for input, where each value is in {0,1} in order to specify whether an input is
actually present or not.
- getFeaturesMaskArray(int) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get the specified feature mask array.
- getFeaturesMaskArray() - Method in class org.nd4j.linalg.dataset.DataSet
-
- getFeaturesMaskArray(int) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getFeaturesMaskArrays() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get the feature mask arrays.
- getFeaturesMaskArrays() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getFeatureStats() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer
-
- getFeatureStats(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
- getFeatureStats() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
- getFeatureStd(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize
-
- getFeed(int) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Tensors to be fed in future steps.
- getFeed(int) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest
-
Tensors to be fed in future steps.
- getFeed(int) - Method in interface org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder
-
Tensors to be fed in future steps.
- getFeed(int) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeed(int) - Method in class org.tensorflow.distruntime.RunCallableRequest
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeed(int) - Method in interface org.tensorflow.distruntime.RunCallableRequestOrBuilder
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeed(int) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Tensors to be fed in the step.
- getFeed(int) - Method in class org.tensorflow.distruntime.RunStepRequest
-
Tensors to be fed in the step.
- getFeed(int) - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Tensors to be fed in the step.
- getFeed(int) - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Tensors to be fed in the callable.
- getFeed(int) - Method in class org.tensorflow.framework.CallableOptions
-
Tensors to be fed in the callable.
- getFeed(int) - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder
-
Tensors to be fed in the callable.
- getFeedBuilder(int) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeedBuilder(int) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Tensors to be fed in the step.
- getFeedBuilderList() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeedBuilderList() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Tensors to be fed in the step.
- getFeedBytes(int) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Tensors to be fed in future steps.
- getFeedBytes(int) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest
-
Tensors to be fed in future steps.
- getFeedBytes(int) - Method in interface org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder
-
Tensors to be fed in future steps.
- getFeedBytes(int) - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Tensors to be fed in the callable.
- getFeedBytes(int) - Method in class org.tensorflow.framework.CallableOptions
-
Tensors to be fed in the callable.
- getFeedBytes(int) - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder
-
Tensors to be fed in the callable.
- getFeedCount() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Tensors to be fed in future steps.
- getFeedCount() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest
-
Tensors to be fed in future steps.
- getFeedCount() - Method in interface org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder
-
Tensors to be fed in future steps.
- getFeedCount() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeedCount() - Method in class org.tensorflow.distruntime.RunCallableRequest
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeedCount() - Method in interface org.tensorflow.distruntime.RunCallableRequestOrBuilder
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeedCount() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Tensors to be fed in the step.
- getFeedCount() - Method in class org.tensorflow.distruntime.RunStepRequest
-
Tensors to be fed in the step.
- getFeedCount() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Tensors to be fed in the step.
- getFeedCount() - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Tensors to be fed in the callable.
- getFeedCount() - Method in class org.tensorflow.framework.CallableOptions
-
Tensors to be fed in the callable.
- getFeedCount() - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder
-
Tensors to be fed in the callable.
- getFeedList() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Tensors to be fed in future steps.
- getFeedList() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest
-
Tensors to be fed in future steps.
- getFeedList() - Method in interface org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder
-
Tensors to be fed in future steps.
- getFeedList() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeedList() - Method in class org.tensorflow.distruntime.RunCallableRequest
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeedList() - Method in interface org.tensorflow.distruntime.RunCallableRequestOrBuilder
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeedList() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Tensors to be fed in the step.
- getFeedList() - Method in class org.tensorflow.distruntime.RunStepRequest
-
Tensors to be fed in the step.
- getFeedList() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Tensors to be fed in the step.
- getFeedList() - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Tensors to be fed in the callable.
- getFeedList() - Method in class org.tensorflow.framework.CallableOptions
-
Tensors to be fed in the callable.
- getFeedList() - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder
-
Tensors to be fed in the callable.
- getFeedOrBuilder(int) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeedOrBuilder(int) - Method in class org.tensorflow.distruntime.RunCallableRequest
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeedOrBuilder(int) - Method in interface org.tensorflow.distruntime.RunCallableRequestOrBuilder
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeedOrBuilder(int) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Tensors to be fed in the step.
- getFeedOrBuilder(int) - Method in class org.tensorflow.distruntime.RunStepRequest
-
Tensors to be fed in the step.
- getFeedOrBuilder(int) - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Tensors to be fed in the step.
- getFeedOrBuilderList() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeedOrBuilderList() - Method in class org.tensorflow.distruntime.RunCallableRequest
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeedOrBuilderList() - Method in interface org.tensorflow.distruntime.RunCallableRequestOrBuilder
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeedOrBuilderList() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Tensors to be fed in the step.
- getFeedOrBuilderList() - Method in class org.tensorflow.distruntime.RunStepRequest
-
Tensors to be fed in the step.
- getFeedOrBuilderList() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Tensors to be fed in the step.
- getFetch(int) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Fetches.
- getFetch(int) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest
-
Fetches.
- getFetch(int) - Method in interface org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder
-
Fetches.
- getFetch(int) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetch(int) - Method in class org.tensorflow.distruntime.RunCallableResponse
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetch(int) - Method in interface org.tensorflow.distruntime.RunCallableResponseOrBuilder
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetch(int) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Fetches.
- getFetch(int) - Method in class org.tensorflow.distruntime.RunStepRequest
-
Fetches.
- getFetch(int) - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Fetches.
- getFetch(int) - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Fetches.
- getFetch(int) - Method in class org.tensorflow.framework.CallableOptions
-
Fetches.
- getFetch(int) - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder
-
Fetches.
- getFetchBuilder(int) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetchBuilderList() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetchBytes(int) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Fetches.
- getFetchBytes(int) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest
-
Fetches.
- getFetchBytes(int) - Method in interface org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder
-
Fetches.
- getFetchBytes(int) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Fetches.
- getFetchBytes(int) - Method in class org.tensorflow.distruntime.RunStepRequest
-
Fetches.
- getFetchBytes(int) - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Fetches.
- getFetchBytes(int) - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Fetches.
- getFetchBytes(int) - Method in class org.tensorflow.framework.CallableOptions
-
Fetches.
- getFetchBytes(int) - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder
-
Fetches.
- getFetchCount() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Fetches.
- getFetchCount() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest
-
Fetches.
- getFetchCount() - Method in interface org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder
-
Fetches.
- getFetchCount() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetchCount() - Method in class org.tensorflow.distruntime.RunCallableResponse
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetchCount() - Method in interface org.tensorflow.distruntime.RunCallableResponseOrBuilder
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetchCount() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Fetches.
- getFetchCount() - Method in class org.tensorflow.distruntime.RunStepRequest
-
Fetches.
- getFetchCount() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Fetches.
- getFetchCount() - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Fetches.
- getFetchCount() - Method in class org.tensorflow.framework.CallableOptions
-
Fetches.
- getFetchCount() - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder
-
Fetches.
- getFetchList() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Fetches.
- getFetchList() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest
-
Fetches.
- getFetchList() - Method in interface org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder
-
Fetches.
- getFetchList() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetchList() - Method in class org.tensorflow.distruntime.RunCallableResponse
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetchList() - Method in interface org.tensorflow.distruntime.RunCallableResponseOrBuilder
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetchList() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Fetches.
- getFetchList() - Method in class org.tensorflow.distruntime.RunStepRequest
-
Fetches.
- getFetchList() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Fetches.
- getFetchList() - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Fetches.
- getFetchList() - Method in class org.tensorflow.framework.CallableOptions
-
Fetches.
- getFetchList() - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder
-
Fetches.
- getFetchOrBuilder(int) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetchOrBuilder(int) - Method in class org.tensorflow.distruntime.RunCallableResponse
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetchOrBuilder(int) - Method in interface org.tensorflow.distruntime.RunCallableResponseOrBuilder
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetchOrBuilderList() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetchOrBuilderList() - Method in class org.tensorflow.distruntime.RunCallableResponse
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetchOrBuilderList() - Method in interface org.tensorflow.distruntime.RunCallableResponseOrBuilder
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetchStepId(int) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
-
When set, requests all saved log data pertaining to the step.
- getFetchStepId(int) - Method in class org.tensorflow.distruntime.LoggingRequest
-
When set, requests all saved log data pertaining to the step.
- getFetchStepId(int) - Method in interface org.tensorflow.distruntime.LoggingRequestOrBuilder
-
When set, requests all saved log data pertaining to the step.
- getFetchStepIdCount() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
-
When set, requests all saved log data pertaining to the step.
- getFetchStepIdCount() - Method in class org.tensorflow.distruntime.LoggingRequest
-
When set, requests all saved log data pertaining to the step.
- getFetchStepIdCount() - Method in interface org.tensorflow.distruntime.LoggingRequestOrBuilder
-
When set, requests all saved log data pertaining to the step.
- getFetchStepIdList() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
-
When set, requests all saved log data pertaining to the step.
- getFetchStepIdList() - Method in class org.tensorflow.distruntime.LoggingRequest
-
When set, requests all saved log data pertaining to the step.
- getFetchStepIdList() - Method in interface org.tensorflow.distruntime.LoggingRequestOrBuilder
-
When set, requests all saved log data pertaining to the step.
- getFieldsForFunction(DifferentialFunction) - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder
-
- getFilename() - Method in class org.tensorflow.framework.AssetFileDef.Builder
-
The filename within an assets directory.
- getFilename() - Method in class org.tensorflow.framework.AssetFileDef
-
The filename within an assets directory.
- getFilename() - Method in interface org.tensorflow.framework.AssetFileDefOrBuilder
-
The filename within an assets directory.
- getFilenameBytes() - Method in class org.tensorflow.framework.AssetFileDef.Builder
-
The filename within an assets directory.
- getFilenameBytes() - Method in class org.tensorflow.framework.AssetFileDef
-
The filename within an assets directory.
- getFilenameBytes() - Method in interface org.tensorflow.framework.AssetFileDefOrBuilder
-
The filename within an assets directory.
- getFilenameTensorName() - Method in class org.tensorflow.util.SaverDef.Builder
-
The name of the tensor in which to specify the filename when saving or
restoring a model checkpoint.
- getFilenameTensorName() - Method in class org.tensorflow.util.SaverDef
-
The name of the tensor in which to specify the filename when saving or
restoring a model checkpoint.
- getFilenameTensorName() - Method in interface org.tensorflow.util.SaverDefOrBuilder
-
The name of the tensor in which to specify the filename when saving or
restoring a model checkpoint.
- getFilenameTensorNameBytes() - Method in class org.tensorflow.util.SaverDef.Builder
-
The name of the tensor in which to specify the filename when saving or
restoring a model checkpoint.
- getFilenameTensorNameBytes() - Method in class org.tensorflow.util.SaverDef
-
The name of the tensor in which to specify the filename when saving or
restoring a model checkpoint.
- getFilenameTensorNameBytes() - Method in interface org.tensorflow.util.SaverDefOrBuilder
-
The name of the tensor in which to specify the filename when saving or
restoring a model checkpoint.
- getFilePath() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
Path to the source code file.
- getFilePath() - Method in class org.tensorflow.framework.DebuggedSourceFile
-
Path to the source code file.
- getFilePath() - Method in interface org.tensorflow.framework.DebuggedSourceFileOrBuilder
-
Path to the source code file.
- getFilePathBytes() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
Path to the source code file.
- getFilePathBytes() - Method in class org.tensorflow.framework.DebuggedSourceFile
-
Path to the source code file.
- getFilePathBytes() - Method in interface org.tensorflow.framework.DebuggedSourceFileOrBuilder
-
Path to the source code file.
- getFinalResult() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
- getFinalResult() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- getFinalResult() - Method in class org.nd4j.linalg.api.ops.BaseOp
-
- getFinalResult() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.AMin
-
- getFinalResult() - Method in interface org.nd4j.linalg.api.ops.IndexAccumulation
-
- getFinalResult() - Method in interface org.nd4j.linalg.api.ops.ReduceOp
-
- getFirstOp() - Method in class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
-
- getFirstOp() - Method in interface org.nd4j.linalg.api.ops.MetaOp
-
- getFirstOpDescriptor() - Method in class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
-
- getFirstOpDescriptor() - Method in interface org.nd4j.linalg.api.ops.MetaOp
-
- getFlatConfiguration(FlatBufferBuilder) - Method in class org.nd4j.autodiff.execution.conf.ExecutorConfiguration
-
This method
- getFlatOpType(Op.Type) - Static method in class org.nd4j.autodiff.samediff.serde.FlatBuffersMapper
-
This method converts an Op.Type to it's corresponding byte value
- getFList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(float)"
- getFList() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(float)"
- getFList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(float)"
- getFloat(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the elements at the specified indices
- getFloat(long...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getFloat(long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getFloat(long, long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getFloat(long[]) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getFloat(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getFloat(long) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getFloat(long, long) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getFloat(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getFloat(long[]) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getFloat(long) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getFloat(long, long) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getFloat(int[]) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the elements at the specified indices
- getFloat(long[]) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- getFloat(long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Return the item at the linear index i
- getFloat(long, long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Return the item at row i column j
Note that this is the same as calling getScalar(new int[]{i,j}
- getFloatData(int) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatData(int) - Method in class onnx.OnnxMlProto3.TensorProto
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatData(int) - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatData(int) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatData(int) - Method in class onnx.OnnxProto3.TensorProto
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatData(int) - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatData(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Returns the float data
for this ndarray.
- getFloatData(DataBuffer) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Returns the float data
for this buffer.
- getFloatDataCount() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatDataCount() - Method in class onnx.OnnxMlProto3.TensorProto
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatDataCount() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatDataCount() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatDataCount() - Method in class onnx.OnnxProto3.TensorProto
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatDataCount() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatDataList() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatDataList() - Method in class onnx.OnnxMlProto3.TensorProto
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatDataList() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatDataList() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatDataList() - Method in class onnx.OnnxProto3.TensorProto
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatDataList() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatList() - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.FloatList float_list = 4;
- getFloatList() - Method in class org.tensorflow.framework.CollectionDef
-
.tensorflow.CollectionDef.FloatList float_list = 4;
- getFloatList() - Method in interface org.tensorflow.framework.CollectionDefOrBuilder
-
.tensorflow.CollectionDef.FloatList float_list = 4;
- getFloatListBuilder() - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.FloatList float_list = 4;
- getFloatListOrBuilder() - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.FloatList float_list = 4;
- getFloatListOrBuilder() - Method in class org.tensorflow.framework.CollectionDef
-
.tensorflow.CollectionDef.FloatList float_list = 4;
- getFloatListOrBuilder() - Method in interface org.tensorflow.framework.CollectionDefOrBuilder
-
.tensorflow.CollectionDef.FloatList float_list = 4;
- getFloats(int) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of floats
- getFloats(int) - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of floats
- getFloats(int) - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of floats
- getFloats(int) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of floats
- getFloats(int) - Method in class onnx.OnnxProto3.AttributeProto
-
list of floats
- getFloats(int) - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of floats
- getFloatsCount() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of floats
- getFloatsCount() - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of floats
- getFloatsCount() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of floats
- getFloatsCount() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of floats
- getFloatsCount() - Method in class onnx.OnnxProto3.AttributeProto
-
list of floats
- getFloatsCount() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of floats
- getFloatsList() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of floats
- getFloatsList() - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of floats
- getFloatsList() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of floats
- getFloatsList() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of floats
- getFloatsList() - Method in class onnx.OnnxProto3.AttributeProto
-
list of floats
- getFloatsList() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of floats
- getFloatVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_FLOAT.
- getFloatVal(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_FLOAT.
- getFloatVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_FLOAT.
- getFloatValCount() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_FLOAT.
- getFloatValCount() - Method in class org.tensorflow.framework.TensorProto
-
DT_FLOAT.
- getFloatValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_FLOAT.
- getFloatValList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_FLOAT.
- getFloatValList() - Method in class org.tensorflow.framework.TensorProto
-
DT_FLOAT.
- getFloatValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_FLOAT.
- getForceGpuCompatible() - Method in class org.tensorflow.framework.GPUOptions.Builder
-
Force all tensors to be gpu_compatible.
- getForceGpuCompatible() - Method in class org.tensorflow.framework.GPUOptions
-
Force all tensors to be gpu_compatible.
- getForceGpuCompatible() - Method in interface org.tensorflow.framework.GPUOptionsOrBuilder
-
Force all tensors to be gpu_compatible.
- getForkJoinPool() - Static method in class org.nd4j.linalg.executors.ExecutorServiceProvider
-
- getFormat() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getFormat() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getFormat() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
-
- getFormat() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Return the sparse format (i.e COO, CSR, ...)
- getFormat() - Method in interface org.nd4j.linalg.api.ndarray.ISparseNDArray
-
Return the sparse format (i.e COO, CSR, ...)
- getFrameName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp
-
- getFrequency() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Core Frequency in Mhz
- getFrequency() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties
-
Core Frequency in Mhz
- getFrequency() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Core Frequency in Mhz
- getFromTensor() - Method in class org.tensorflow.framework.TensorConnection.Builder
-
A tensor name.
- getFromTensor() - Method in class org.tensorflow.framework.TensorConnection
-
A tensor name.
- getFromTensor() - Method in interface org.tensorflow.framework.TensorConnectionOrBuilder
-
A tensor name.
- getFromTensorBytes() - Method in class org.tensorflow.framework.TensorConnection.Builder
-
A tensor name.
- getFromTensorBytes() - Method in class org.tensorflow.framework.TensorConnection
-
A tensor name.
- getFromTensorBytes() - Method in interface org.tensorflow.framework.TensorConnectionOrBuilder
-
A tensor name.
- getFullName() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Name of the full variable of which this is a slice.
- getFullName() - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
Name of the full variable of which this is a slice.
- getFullName() - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Name of the full variable of which this is a slice.
- getFullName() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
The full name of the variable/tensor, if applicable.
- getFullName() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
-
The full name of the variable/tensor, if applicable.
- getFullName() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensorOrBuilder
-
The full name of the variable/tensor, if applicable.
- getFullNameBytes() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Name of the full variable of which this is a slice.
- getFullNameBytes() - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
Name of the full variable of which this is a slice.
- getFullNameBytes() - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Name of the full variable of which this is a slice.
- getFullNameBytes() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
The full name of the variable/tensor, if applicable.
- getFullNameBytes() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
-
The full name of the variable/tensor, if applicable.
- getFullNameBytes() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensorOrBuilder
-
The full name of the variable/tensor, if applicable.
- getFullShape(int) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of the full variable.
- getFullShape(int) - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
Shape of the full variable.
- getFullShape(int) - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Shape of the full variable.
- getFullShapeCount() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of the full variable.
- getFullShapeCount() - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
Shape of the full variable.
- getFullShapeCount() - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Shape of the full variable.
- getFullShapeList() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of the full variable.
- getFullShapeList() - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
Shape of the full variable.
- getFullShapeList() - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Shape of the full variable.
- getFunc() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"func" represents a function.
- getFunc() - Method in class org.tensorflow.framework.AttrValue
-
"func" represents a function.
- getFunc(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
- getFunc(int) - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(attr)"
- getFunc(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(attr)"
- getFunc() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
"func" represents a function.
- getFuncBuilder() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"func" represents a function.
- getFuncBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
- getFuncBuilderList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
- getFuncCount() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
- getFuncCount() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(attr)"
- getFuncCount() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(attr)"
- getFuncList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
- getFuncList() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(attr)"
- getFuncList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(attr)"
- getFuncOrBuilder() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"func" represents a function.
- getFuncOrBuilder() - Method in class org.tensorflow.framework.AttrValue
-
"func" represents a function.
- getFuncOrBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
- getFuncOrBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(attr)"
- getFuncOrBuilder(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(attr)"
- getFuncOrBuilder() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
"func" represents a function.
- getFuncOrBuilderList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
- getFuncOrBuilderList() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(attr)"
- getFuncOrBuilderList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(attr)"
- getFunction(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Get a SameDiff function instance given the name of the function
- getFunction(int) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunction(int) - Method in class org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.FunctionDef function = 1;
- getFunction(int) - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionBuilder(int) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionBuilderList() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionById(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Get the function by the DifferentialFunction#getOwnName()
- getFunctionCount() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionCount() - Method in class org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionCount() - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionDef() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
-
.tensorflow.FunctionDef function_def = 2;
- getFunctionDef() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
-
.tensorflow.FunctionDef function_def = 2;
- getFunctionDef() - Method in interface tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequestOrBuilder
-
.tensorflow.FunctionDef function_def = 2;
- getFunctionDefBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
-
.tensorflow.FunctionDef function_def = 2;
- getFunctionDefOrBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
-
.tensorflow.FunctionDef function_def = 2;
- getFunctionDefOrBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
-
.tensorflow.FunctionDef function_def = 2;
- getFunctionDefOrBuilder() - Method in interface tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequestOrBuilder
-
.tensorflow.FunctionDef function_def = 2;
- getFunctionList() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionList() - Method in class org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionList() - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionName() - Method in class org.tensorflow.framework.GradientDef.Builder
-
The function name.
- getFunctionName() - Method in class org.tensorflow.framework.GradientDef
-
The function name.
- getFunctionName() - Method in interface org.tensorflow.framework.GradientDefOrBuilder
-
The function name.
- getFunctionNameBytes() - Method in class org.tensorflow.framework.GradientDef.Builder
-
The function name.
- getFunctionNameBytes() - Method in class org.tensorflow.framework.GradientDef
-
The function name.
- getFunctionNameBytes() - Method in interface org.tensorflow.framework.GradientDefOrBuilder
-
The function name.
- getFunctionOptimization() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Function optimizations (default is ON).
- getFunctionOptimization() - Method in class org.tensorflow.framework.RewriterConfig
-
Function optimizations (default is ON).
- getFunctionOptimization() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
Function optimizations (default is ON).
- getFunctionOptimizationValue() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Function optimizations (default is ON).
- getFunctionOptimizationValue() - Method in class org.tensorflow.framework.RewriterConfig
-
Function optimizations (default is ON).
- getFunctionOptimizationValue() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
Function optimizations (default is ON).
- getFunctionOrBuilder(int) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionOrBuilder(int) - Method in class org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionOrBuilder(int) - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionOrBuilderList() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionOrBuilderList() - Method in class org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionOrBuilderList() - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.FunctionDef function = 1;
- getG() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
graph
- getG() - Method in class onnx.OnnxMlProto3.AttributeProto
-
graph
- getG() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
graph
- getG() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
graph
- getG() - Method in class onnx.OnnxProto3.AttributeProto
-
graph
- getG() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
graph
- getGBuilder() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
graph
- getGBuilder() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
graph
- getGenerationId() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
- getGenerationId() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- getGlobalJitLevel() - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
- getGlobalJitLevel() - Method in class org.tensorflow.framework.OptimizerOptions
-
.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
- getGlobalJitLevel() - Method in interface org.tensorflow.framework.OptimizerOptionsOrBuilder
-
.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
- getGlobalJitLevelValue() - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
- getGlobalJitLevelValue() - Method in class org.tensorflow.framework.OptimizerOptions
-
.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
- getGlobalJitLevelValue() - Method in interface org.tensorflow.framework.OptimizerOptionsOrBuilder
-
.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
- getGlobalName() - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder
-
The global name of the threadpool.
- getGlobalName() - Method in class org.tensorflow.framework.ThreadPoolOptionProto
-
The global name of the threadpool.
- getGlobalName() - Method in interface org.tensorflow.framework.ThreadPoolOptionProtoOrBuilder
-
The global name of the threadpool.
- getGlobalNameBytes() - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder
-
The global name of the threadpool.
- getGlobalNameBytes() - Method in class org.tensorflow.framework.ThreadPoolOptionProto
-
The global name of the threadpool.
- getGlobalNameBytes() - Method in interface org.tensorflow.framework.ThreadPoolOptionProtoOrBuilder
-
The global name of the threadpool.
- getGlobalStep() - Method in class org.tensorflow.framework.DebugOptions.Builder
-
Caller-specified global step count.
- getGlobalStep() - Method in class org.tensorflow.framework.DebugOptions
-
Caller-specified global step count.
- getGlobalStep() - Method in interface org.tensorflow.framework.DebugOptionsOrBuilder
-
Caller-specified global step count.
- getGOrBuilder() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
graph
- getGOrBuilder() - Method in class onnx.OnnxMlProto3.AttributeProto
-
graph
- getGOrBuilder() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
graph
- getGOrBuilder() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
graph
- getGOrBuilder() - Method in class onnx.OnnxProto3.AttributeProto
-
graph
- getGOrBuilder() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
graph
- getGpuOptions() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Options that apply to all GPUs.
- getGpuOptions() - Method in class org.tensorflow.framework.ConfigProto
-
Options that apply to all GPUs.
- getGpuOptions() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
Options that apply to all GPUs.
- getGpuOptionsBuilder() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Options that apply to all GPUs.
- getGpuOptionsOrBuilder() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Options that apply to all GPUs.
- getGpuOptionsOrBuilder() - Method in class org.tensorflow.framework.ConfigProto
-
Options that apply to all GPUs.
- getGpuOptionsOrBuilder() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
Options that apply to all GPUs.
- getGradForVariable(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Get the gradient for the variable with the specified name.
The gradient variable is the variable that represents the derivative of the loss function with respect
to the output of this variable.
- getGradient() - Method in class org.nd4j.autodiff.samediff.SDVariable
-
The gradient variable is the variable that represents the derivative of the loss function with respect
to the output of this variable.
- getGradient(INDArray, int) - Method in class org.nd4j.linalg.learning.legacy.AdaGrad
-
Gets feature specific learning rates
Adagrad keeps a history of gradients being passed in.
- getGradient(double, int, int[]) - Method in class org.nd4j.linalg.learning.legacy.AdaGrad
-
- getGradient(INDArray, int, int[]) - Method in class org.nd4j.linalg.learning.legacy.AdaGrad
-
- getGradient(int) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradient(int) - Method in class org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradient(int) - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientBuilder(int) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientBuilderList() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientCount() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientCount() - Method in class org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientCount() - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientFunc() - Method in class org.tensorflow.framework.GradientDef.Builder
-
The gradient function's name.
- getGradientFunc() - Method in class org.tensorflow.framework.GradientDef
-
The gradient function's name.
- getGradientFunc() - Method in interface org.tensorflow.framework.GradientDefOrBuilder
-
The gradient function's name.
- getGradientFuncBytes() - Method in class org.tensorflow.framework.GradientDef.Builder
-
The gradient function's name.
- getGradientFuncBytes() - Method in class org.tensorflow.framework.GradientDef
-
The gradient function's name.
- getGradientFuncBytes() - Method in interface org.tensorflow.framework.GradientDefOrBuilder
-
The gradient function's name.
- getGradientList() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientList() - Method in class org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientList() - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientOrBuilder(int) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientOrBuilder(int) - Method in class org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientOrBuilder(int) - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientOrBuilderList() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientOrBuilderList() - Method in class org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientOrBuilderList() - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientViewArray() - Method in class org.nd4j.linalg.activations.BaseActivationFunction
-
- getGradientViewArray() - Method in interface org.nd4j.linalg.activations.IActivation
-
- getGraph() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The parameterized graph that is evaluated to execute the model.
- getGraph() - Method in class onnx.OnnxMlProto3.ModelProto
-
The parameterized graph that is evaluated to execute the model.
- getGraph() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
The parameterized graph that is evaluated to execute the model.
- getGraph() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The parameterized graph that is evaluated to execute the model.
- getGraph() - Method in class onnx.OnnxProto3.ModelProto
-
The parameterized graph that is evaluated to execute the model.
- getGraph() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
The parameterized graph that is evaluated to execute the model.
- getGraphBuilder() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The parameterized graph that is evaluated to execute the model.
- getGraphBuilder() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The parameterized graph that is evaluated to execute the model.
- getGraphDef() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
-
The initial graph definition.
- getGraphDef() - Method in class org.tensorflow.distruntime.CreateSessionRequest
-
The initial graph definition.
- getGraphDef() - Method in interface org.tensorflow.distruntime.CreateSessionRequestOrBuilder
-
The initial graph definition.
- getGraphDef() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
REQUIRED: The nodes to be added to the session's graph.
- getGraphDef() - Method in class org.tensorflow.distruntime.ExtendSessionRequest
-
REQUIRED: The nodes to be added to the session's graph.
- getGraphDef() - Method in interface org.tensorflow.distruntime.ExtendSessionRequestOrBuilder
-
REQUIRED: The nodes to be added to the session's graph.
- getGraphDef() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
"graph_def" has the subgraph of nodes for this worker, with each node
having its device_name filled in.
- getGraphDef() - Method in class org.tensorflow.distruntime.RegisterGraphRequest
-
"graph_def" has the subgraph of nodes for this worker, with each node
having its device_name filled in.
- getGraphDef() - Method in interface org.tensorflow.distruntime.RegisterGraphRequestOrBuilder
-
"graph_def" has the subgraph of nodes for this worker, with each node
having its device_name filled in.
- getGraphDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
GraphDef.
- getGraphDef() - Method in class org.tensorflow.framework.MetaGraphDef
-
GraphDef.
- getGraphDef() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder
-
GraphDef.
- getGraphDefBuilder() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
-
The initial graph definition.
- getGraphDefBuilder() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
REQUIRED: The nodes to be added to the session's graph.
- getGraphDefBuilder() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
"graph_def" has the subgraph of nodes for this worker, with each node
having its device_name filled in.
- getGraphDefBuilder() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
GraphDef.
- getGraphDefOrBuilder() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
-
The initial graph definition.
- getGraphDefOrBuilder() - Method in class org.tensorflow.distruntime.CreateSessionRequest
-
The initial graph definition.
- getGraphDefOrBuilder() - Method in interface org.tensorflow.distruntime.CreateSessionRequestOrBuilder
-
The initial graph definition.
- getGraphDefOrBuilder() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
REQUIRED: The nodes to be added to the session's graph.
- getGraphDefOrBuilder() - Method in class org.tensorflow.distruntime.ExtendSessionRequest
-
REQUIRED: The nodes to be added to the session's graph.
- getGraphDefOrBuilder() - Method in interface org.tensorflow.distruntime.ExtendSessionRequestOrBuilder
-
REQUIRED: The nodes to be added to the session's graph.
- getGraphDefOrBuilder() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
"graph_def" has the subgraph of nodes for this worker, with each node
having its device_name filled in.
- getGraphDefOrBuilder() - Method in class org.tensorflow.distruntime.RegisterGraphRequest
-
"graph_def" has the subgraph of nodes for this worker, with each node
having its device_name filled in.
- getGraphDefOrBuilder() - Method in interface org.tensorflow.distruntime.RegisterGraphRequestOrBuilder
-
"graph_def" has the subgraph of nodes for this worker, with each node
having its device_name filled in.
- getGraphDefOrBuilder() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
GraphDef.
- getGraphDefOrBuilder() - Method in class org.tensorflow.framework.MetaGraphDef
-
GraphDef.
- getGraphDefOrBuilder() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder
-
GraphDef.
- getGraphHandle() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- getGraphHandle() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- getGraphHandle() - Method in interface org.tensorflow.distruntime.DeregisterGraphRequestOrBuilder
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- getGraphHandle() - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder
-
If the registration succeeds, returns an opaque graph_handle to
the master.
- getGraphHandle() - Method in class org.tensorflow.distruntime.RegisterGraphResponse
-
If the registration succeeds, returns an opaque graph_handle to
the master.
- getGraphHandle() - Method in interface org.tensorflow.distruntime.RegisterGraphResponseOrBuilder
-
If the registration succeeds, returns an opaque graph_handle to
the master.
- getGraphHandle() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- getGraphHandle() - Method in class org.tensorflow.distruntime.RunGraphRequest
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- getGraphHandle() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- getGraphHandleBytes() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- getGraphHandleBytes() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- getGraphHandleBytes() - Method in interface org.tensorflow.distruntime.DeregisterGraphRequestOrBuilder
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- getGraphHandleBytes() - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder
-
If the registration succeeds, returns an opaque graph_handle to
the master.
- getGraphHandleBytes() - Method in class org.tensorflow.distruntime.RegisterGraphResponse
-
If the registration succeeds, returns an opaque graph_handle to
the master.
- getGraphHandleBytes() - Method in interface org.tensorflow.distruntime.RegisterGraphResponseOrBuilder
-
If the registration succeeds, returns an opaque graph_handle to
the master.
- getGraphHandleBytes() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- getGraphHandleBytes() - Method in class org.tensorflow.distruntime.RunGraphRequest
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- getGraphHandleBytes() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- getGraphInputNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
- getGraphInputNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo
-
Input Node parameters of transferred graph
- getGraphInputNodeInfo(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
Input Node parameters of transferred graph
- getGraphInputNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
- getGraphInputNodeInfoBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
- getGraphInputNodeInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
- getGraphInputNodeInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo
-
Input Node parameters of transferred graph
- getGraphInputNodeInfoCount() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
Input Node parameters of transferred graph
- getGraphInputNodeInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
- getGraphInputNodeInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo
-
Input Node parameters of transferred graph
- getGraphInputNodeInfoList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
Input Node parameters of transferred graph
- getGraphInputNodeInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
- getGraphInputNodeInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo
-
Input Node parameters of transferred graph
- getGraphInputNodeInfoOrBuilder(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
Input Node parameters of transferred graph
- getGraphInputNodeInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
- getGraphInputNodeInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo
-
Input Node parameters of transferred graph
- getGraphInputNodeInfoOrBuilderList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
Input Node parameters of transferred graph
- getGraphInputNodeName(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph input node name
- getGraphInputNodeName(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Remote fused graph input node name
- getGraphInputNodeName(int) - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Remote fused graph input node name
- getGraphInputNodeNameBytes(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph input node name
- getGraphInputNodeNameBytes(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Remote fused graph input node name
- getGraphInputNodeNameBytes(int) - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Remote fused graph input node name
- getGraphInputNodeNameCount() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph input node name
- getGraphInputNodeNameCount() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Remote fused graph input node name
- getGraphInputNodeNameCount() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Remote fused graph input node name
- getGraphInputNodeNameList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph input node name
- getGraphInputNodeNameList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Remote fused graph input node name
- getGraphInputNodeNameList() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Remote fused graph input node name
- getGraphKey(int) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder
-
repeated int64 graph_key = 1;
- getGraphKey(int) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest
-
repeated int64 graph_key = 1;
- getGraphKey(int) - Method in interface org.tensorflow.distruntime.GetStepSequenceRequestOrBuilder
-
repeated int64 graph_key = 1;
- getGraphKey() - Method in class org.tensorflow.distruntime.StepSequence.Builder
-
int64 graph_key = 1;
- getGraphKey() - Method in class org.tensorflow.distruntime.StepSequence
-
int64 graph_key = 1;
- getGraphKey() - Method in interface org.tensorflow.distruntime.StepSequenceOrBuilder
-
int64 graph_key = 1;
- getGraphKeyCount() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder
-
repeated int64 graph_key = 1;
- getGraphKeyCount() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest
-
repeated int64 graph_key = 1;
- getGraphKeyCount() - Method in interface org.tensorflow.distruntime.GetStepSequenceRequestOrBuilder
-
repeated int64 graph_key = 1;
- getGraphKeyList() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder
-
repeated int64 graph_key = 1;
- getGraphKeyList() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest
-
repeated int64 graph_key = 1;
- getGraphKeyList() - Method in interface org.tensorflow.distruntime.GetStepSequenceRequestOrBuilder
-
repeated int64 graph_key = 1;
- getGraphOpName() - Method in class org.tensorflow.framework.ApiDef.Builder
-
Name of the op (in the OpDef) to specify the API for.
- getGraphOpName() - Method in class org.tensorflow.framework.ApiDef
-
Name of the op (in the OpDef) to specify the API for.
- getGraphOpName() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
Name of the op (in the OpDef) to specify the API for.
- getGraphOpNameBytes() - Method in class org.tensorflow.framework.ApiDef.Builder
-
Name of the op (in the OpDef) to specify the API for.
- getGraphOpNameBytes() - Method in class org.tensorflow.framework.ApiDef
-
Name of the op (in the OpDef) to specify the API for.
- getGraphOpNameBytes() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
Name of the op (in the OpDef) to specify the API for.
- getGraphOptions() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Configuration options for the session in which this graph was created.
- getGraphOptions() - Method in class org.tensorflow.distruntime.RegisterGraphRequest
-
Configuration options for the session in which this graph was created.
- getGraphOptions() - Method in interface org.tensorflow.distruntime.RegisterGraphRequestOrBuilder
-
Configuration options for the session in which this graph was created.
- getGraphOptions() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Options that apply to all graphs.
- getGraphOptions() - Method in class org.tensorflow.framework.ConfigProto
-
Options that apply to all graphs.
- getGraphOptions() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
Options that apply to all graphs.
- getGraphOptionsBuilder() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Configuration options for the session in which this graph was created.
- getGraphOptionsBuilder() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Options that apply to all graphs.
- getGraphOptionsOrBuilder() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Configuration options for the session in which this graph was created.
- getGraphOptionsOrBuilder() - Method in class org.tensorflow.distruntime.RegisterGraphRequest
-
Configuration options for the session in which this graph was created.
- getGraphOptionsOrBuilder() - Method in interface org.tensorflow.distruntime.RegisterGraphRequestOrBuilder
-
Configuration options for the session in which this graph was created.
- getGraphOptionsOrBuilder() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Options that apply to all graphs.
- getGraphOptionsOrBuilder() - Method in class org.tensorflow.framework.ConfigProto
-
Options that apply to all graphs.
- getGraphOptionsOrBuilder() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
Options that apply to all graphs.
- getGraphOrBuilder() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The parameterized graph that is evaluated to execute the model.
- getGraphOrBuilder() - Method in class onnx.OnnxMlProto3.ModelProto
-
The parameterized graph that is evaluated to execute the model.
- getGraphOrBuilder() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
The parameterized graph that is evaluated to execute the model.
- getGraphOrBuilder() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The parameterized graph that is evaluated to execute the model.
- getGraphOrBuilder() - Method in class onnx.OnnxProto3.ModelProto
-
The parameterized graph that is evaluated to execute the model.
- getGraphOrBuilder() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
The parameterized graph that is evaluated to execute the model.
- getGraphOutputNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfo(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoCount() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoOrBuilder(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoOrBuilderList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeName(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph output node name
- getGraphOutputNodeName(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Remote fused graph output node name
- getGraphOutputNodeName(int) - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Remote fused graph output node name
- getGraphOutputNodeNameBytes(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph output node name
- getGraphOutputNodeNameBytes(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Remote fused graph output node name
- getGraphOutputNodeNameBytes(int) - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Remote fused graph output node name
- getGraphOutputNodeNameCount() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph output node name
- getGraphOutputNodeNameCount() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Remote fused graph output node name
- getGraphOutputNodeNameCount() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Remote fused graph output node name
- getGraphOutputNodeNameList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph output node name
- getGraphOutputNodeNameList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Remote fused graph output node name
- getGraphOutputNodeNameList() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Remote fused graph output node name
- getGraphs(int) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of graph
- getGraphs(int) - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of graph
- getGraphs(int) - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of graph
- getGraphs(int) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of graph
- getGraphs(int) - Method in class onnx.OnnxProto3.AttributeProto
-
list of graph
- getGraphs(int) - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of graph
- getGraphsBuilder(int) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of graph
- getGraphsBuilder(int) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of graph
- getGraphsBuilderList() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of graph
- getGraphsBuilderList() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of graph
- getGraphsCount() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of graph
- getGraphsCount() - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of graph
- getGraphsCount() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of graph
- getGraphsCount() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of graph
- getGraphsCount() - Method in class onnx.OnnxProto3.AttributeProto
-
list of graph
- getGraphsCount() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of graph
- getGraphsList() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of graph
- getGraphsList() - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of graph
- getGraphsList() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of graph
- getGraphsList() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of graph
- getGraphsList() - Method in class onnx.OnnxProto3.AttributeProto
-
list of graph
- getGraphsList() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of graph
- getGraphsOrBuilder(int) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of graph
- getGraphsOrBuilder(int) - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of graph
- getGraphsOrBuilder(int) - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of graph
- getGraphsOrBuilder(int) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of graph
- getGraphsOrBuilder(int) - Method in class onnx.OnnxProto3.AttributeProto
-
list of graph
- getGraphsOrBuilder(int) - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of graph
- getGraphsOrBuilderList() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of graph
- getGraphsOrBuilderList() - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of graph
- getGraphsOrBuilderList() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of graph
- getGraphsOrBuilderList() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of graph
- getGraphsOrBuilderList() - Method in class onnx.OnnxProto3.AttributeProto
-
list of graph
- getGraphsOrBuilderList() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of graph
- getGraphVersion() - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder
-
The initial version number for the graph, to be used in the next call
to ExtendSession.
- getGraphVersion() - Method in class org.tensorflow.distruntime.CreateSessionResponse
-
The initial version number for the graph, to be used in the next call
to ExtendSession.
- getGraphVersion() - Method in interface org.tensorflow.distruntime.CreateSessionResponseOrBuilder
-
The initial version number for the graph, to be used in the next call
to ExtendSession.
- getGridDescriptor() - Method in interface org.nd4j.linalg.api.ops.GridOp
-
- getGridDescriptor() - Method in class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp
-
- getGroupKey() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
int32 group_key = 1;
- getGroupKey() - Method in class org.tensorflow.distruntime.CompleteGroupRequest
-
int32 group_key = 1;
- getGroupKey() - Method in interface org.tensorflow.distruntime.CompleteGroupRequestOrBuilder
-
int32 group_key = 1;
- getGroupKey() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
int32 group_key = 1;
- getGroupKey() - Method in class org.tensorflow.distruntime.CompleteGroupResponse
-
int32 group_key = 1;
- getGroupKey() - Method in interface org.tensorflow.distruntime.CompleteGroupResponseOrBuilder
-
int32 group_key = 1;
- getGroupKey() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
int32 group_key = 5;
- getGroupKey() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest
-
int32 group_key = 5;
- getGroupKey() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
int32 group_key = 5;
- getGroupSize() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
int32 group_size = 2;
- getGroupSize() - Method in class org.tensorflow.distruntime.CompleteGroupRequest
-
int32 group_size = 2;
- getGroupSize() - Method in interface org.tensorflow.distruntime.CompleteGroupRequestOrBuilder
-
int32 group_size = 2;
- getGroupSize() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
int32 group_size = 2;
- getGroupSize() - Method in class org.tensorflow.distruntime.CompleteGroupResponse
-
int32 group_size = 2;
- getGroupSize() - Method in interface org.tensorflow.distruntime.CompleteGroupResponseOrBuilder
-
int32 group_size = 2;
- getGroupSize() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
int32 group_size = 6;
- getGroupSize() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest
-
int32 group_size = 6;
- getGroupSize() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
int32 group_size = 6;
- getHalfVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_HALF, DT_BFLOAT16.
- getHalfVal(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_HALF, DT_BFLOAT16.
- getHalfVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_HALF, DT_BFLOAT16.
- getHalfValCount() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_HALF, DT_BFLOAT16.
- getHalfValCount() - Method in class org.tensorflow.framework.TensorProto
-
DT_HALF, DT_BFLOAT16.
- getHalfValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_HALF, DT_BFLOAT16.
- getHalfValList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_HALF, DT_BFLOAT16.
- getHalfValList() - Method in class org.tensorflow.framework.TensorProto
-
DT_HALF, DT_BFLOAT16.
- getHalfValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_HALF, DT_BFLOAT16.
- getHandle() - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder
-
A handle to the created callable.
- getHandle() - Method in class org.tensorflow.distruntime.MakeCallableResponse
-
A handle to the created callable.
- getHandle() - Method in interface org.tensorflow.distruntime.MakeCallableResponseOrBuilder
-
A handle to the created callable.
- getHandle() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder
-
REQUIRED: handle must be returned by a MakeCallable call to the same
master service.
- getHandle() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest
-
REQUIRED: handle must be returned by a MakeCallable call to the same
master service.
- getHandle() - Method in interface org.tensorflow.distruntime.ReleaseCallableRequestOrBuilder
-
REQUIRED: handle must be returned by a MakeCallable call to the same
master service.
- getHandle() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
-
REQUIRED: handle must be returned by a MakeCallable call to the same
master service.
- getHandle() - Method in class org.tensorflow.distruntime.RunCallableRequest
-
REQUIRED: handle must be returned by a MakeCallable call to the same
master service.
- getHandle() - Method in interface org.tensorflow.distruntime.RunCallableRequestOrBuilder
-
REQUIRED: handle must be returned by a MakeCallable call to the same
master service.
- getHandle() - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
Handle describing the feeds and fetches of the step.
- getHandle() - Method in class org.tensorflow.framework.MemoryLogStep
-
Handle describing the feeds and fetches of the step.
- getHandle() - Method in interface org.tensorflow.framework.MemoryLogStepOrBuilder
-
Handle describing the feeds and fetches of the step.
- getHandleBytes() - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
Handle describing the feeds and fetches of the step.
- getHandleBytes() - Method in class org.tensorflow.framework.MemoryLogStep
-
Handle describing the feeds and fetches of the step.
- getHandleBytes() - Method in interface org.tensorflow.framework.MemoryLogStepOrBuilder
-
Handle describing the feeds and fetches of the step.
- getHandleToDecref() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
- getHandleToDecref() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem
-
.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
- getHandleToDecref() - Method in interface tensorflow.eager.EagerServiceOuterClass.QueueItemOrBuilder
-
.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
- getHandleToDecrefBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
- getHandleToDecrefOrBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
- getHandleToDecrefOrBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem
-
.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
- getHandleToDecrefOrBuilder() - Method in interface tensorflow.eager.EagerServiceOuterClass.QueueItemOrBuilder
-
.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
- getHasControlFlow() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Deprecated.
- getHasControlFlow() - Method in class org.tensorflow.distruntime.RegisterGraphRequest
-
Deprecated.
- getHasControlFlow() - Method in interface org.tensorflow.distruntime.RegisterGraphRequestOrBuilder
-
Deprecated.
- getHashCode() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Hash code for the type of the resource.
- getHashCode() - Method in class org.tensorflow.framework.ResourceHandleProto
-
Hash code for the type of the resource.
- getHashCode() - Method in interface org.tensorflow.framework.ResourceHandleProtoOrBuilder
-
Hash code for the type of the resource.
- getHasLengthCase() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
- getHasLengthCase() - Method in class org.tensorflow.framework.TensorSliceProto.Extent
-
- getHasLengthCase() - Method in interface org.tensorflow.framework.TensorSliceProto.ExtentOrBuilder
-
- getHasMinimum() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
For type == "int", this is a minimum value.
- getHasMinimum() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
For type == "int", this is a minimum value.
- getHasMinimum() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
For type == "int", this is a minimum value.
- getHasSingleReference() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Set if this tensor only has one remaining reference
- getHasSingleReference() - Method in class org.tensorflow.framework.AllocationDescription
-
Set if this tensor only has one remaining reference
- getHasSingleReference() - Method in interface org.tensorflow.framework.AllocationDescriptionOrBuilder
-
Set if this tensor only has one remaining reference
- getHeight() - Method in class org.tensorflow.framework.Summary.Image.Builder
-
Dimensions of the image.
- getHeight() - Method in class org.tensorflow.framework.Summary.Image
-
Dimensions of the image.
- getHeight() - Method in interface org.tensorflow.framework.Summary.ImageOrBuilder
-
Dimensions of the image.
- getHisto() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.HistogramProto histo = 5;
- getHisto() - Method in class org.tensorflow.framework.Summary.Value
-
.tensorflow.HistogramProto histo = 5;
- getHisto() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
.tensorflow.HistogramProto histo = 5;
- getHistoBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.HistogramProto histo = 5;
- getHistoOrBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.HistogramProto histo = 5;
- getHistoOrBuilder() - Method in class org.tensorflow.framework.Summary.Value
-
.tensorflow.HistogramProto histo = 5;
- getHistoOrBuilder() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
.tensorflow.HistogramProto histo = 5;
- getHost() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
The host name on which a source code file is located.
- getHost() - Method in class org.tensorflow.framework.DebuggedSourceFile
-
The host name on which a source code file is located.
- getHost() - Method in interface org.tensorflow.framework.DebuggedSourceFileOrBuilder
-
The host name on which a source code file is located.
- getHostBytes() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
The host name on which a source code file is located.
- getHostBytes() - Method in class org.tensorflow.framework.DebuggedSourceFile
-
The host name on which a source code file is located.
- getHostBytes() - Method in interface org.tensorflow.framework.DebuggedSourceFileOrBuilder
-
The host name on which a source code file is located.
- getHostMemoryArg(int) - Method in class org.tensorflow.framework.KernelDef.Builder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArg(int) - Method in class org.tensorflow.framework.KernelDef
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArg(int) - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArgBytes(int) - Method in class org.tensorflow.framework.KernelDef.Builder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArgBytes(int) - Method in class org.tensorflow.framework.KernelDef
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArgBytes(int) - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArgCount() - Method in class org.tensorflow.framework.KernelDef.Builder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArgCount() - Method in class org.tensorflow.framework.KernelDef
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArgCount() - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArgList() - Method in class org.tensorflow.framework.KernelDef.Builder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArgList() - Method in class org.tensorflow.framework.KernelDef
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArgList() - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostOffset() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns current host memory offset within workspace
- getHostTempMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Deprecated.
- getHostTempMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
Deprecated.
- getHostTempMemorySize() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
Deprecated.
- getI() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
int
- getI() - Method in class onnx.OnnxMlProto3.AttributeProto
-
int
- getI() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
int
- getI() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
int
- getI() - Method in class onnx.OnnxProto3.AttributeProto
-
int
- getI() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
int
- getI() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"int"
- getI() - Method in class org.tensorflow.framework.AttrValue
-
"int"
- getI(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(int)"
- getI(int) - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(int)"
- getI(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(int)"
- getI() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
"int"
- getIArgument(int) - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
-
- getIArgument(int) - Method in interface org.nd4j.linalg.api.ops.CustomOp
-
- getIArgument(int) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
-
- getIArgument(int) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
-
- getIArgument(int) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
-
- getICount() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(int)"
- getICount() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(int)"
- getICount() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(int)"
- getId() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method returns Id of this workspace
- getId() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
The id of the node.
- getId() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
The id of the node.
- getId() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
The id of the node.
- getId() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
A unique identifier for the operation.
- getId() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation
-
A unique identifier for the operation.
- getId() - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
A unique identifier for the operation.
- getIList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(int)"
- getIList() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(int)"
- getIList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(int)"
- getILossFunction() - Method in enum org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction
-
- getImage() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Image image = 4;
- getImage() - Method in class org.tensorflow.framework.Summary.Value
-
.tensorflow.Summary.Image image = 4;
- getImage() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
.tensorflow.Summary.Image image = 4;
- getImageBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Image image = 4;
- getImageOrBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Image image = 4;
- getImageOrBuilder() - Method in class org.tensorflow.framework.Summary.Value
-
.tensorflow.Summary.Image image = 4;
- getImageOrBuilder() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
.tensorflow.Summary.Image image = 4;
- getInArg(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArg(int) - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArg(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgBuilderList() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgCount() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgCount() - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgCount() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgList() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgList() - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgList() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgOrBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgOrBuilder(int) - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgOrBuilder(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgOrBuilderList() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgOrBuilderList() - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgOrBuilderList() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getIncarnation() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
A device is assigned a global unique number each time it is
initialized.
- getIncarnation() - Method in class org.tensorflow.framework.DeviceAttributes
-
A device is assigned a global unique number each time it is
initialized.
- getIncarnation() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder
-
A device is assigned a global unique number each time it is
initialized.
- getIncludedIndices() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Return a copy of the indices included in the view.
- getIncludedValues() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Return a copy of the values included in the array.
- getIndex() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Index of the output being set.
- getIndex() - Method in class org.tensorflow.framework.MemoryLogTensorOutput
-
Index of the output being set.
- getIndex() - Method in interface org.tensorflow.framework.MemoryLogTensorOutputOrBuilder
-
Index of the output being set.
- getIndexerByType(Pointer, DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getIndexingArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
- getIndexingArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- getIndices() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getIndicesOf(int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Returns the indices of the element of the given index in the array context
- getIndicesTensorName() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
The indices Tensor must have dtype int64 and shape [?, ?].
- getIndicesTensorName() - Method in class org.tensorflow.framework.TensorInfo.CooSparse
-
The indices Tensor must have dtype int64 and shape [?, ?].
- getIndicesTensorName() - Method in interface org.tensorflow.framework.TensorInfo.CooSparseOrBuilder
-
The indices Tensor must have dtype int64 and shape [?, ?].
- getIndicesTensorNameBytes() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
The indices Tensor must have dtype int64 and shape [?, ?].
- getIndicesTensorNameBytes() - Method in class org.tensorflow.framework.TensorInfo.CooSparse
-
The indices Tensor must have dtype int64 and shape [?, ?].
- getIndicesTensorNameBytes() - Method in interface org.tensorflow.framework.TensorInfo.CooSparseOrBuilder
-
The indices Tensor must have dtype int64 and shape [?, ?].
- getInferShapes() - Method in class org.tensorflow.framework.GraphOptions.Builder
-
Annotate each Node with Op output shape data, to the extent it can
be statically inferred.
- getInferShapes() - Method in class org.tensorflow.framework.GraphOptions
-
Annotate each Node with Op output shape data, to the extent it can
be statically inferred.
- getInferShapes() - Method in interface org.tensorflow.framework.GraphOptionsOrBuilder
-
Annotate each Node with Op output shape data, to the extent it can
be statically inferred.
- getInitialBlockSize() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns number of bytes for first block of circular workspace.
- getInitializer(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializer(int) - Method in class onnx.OnnxMlProto3.GraphProto
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializer(int) - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializer(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializer(int) - Method in class onnx.OnnxProto3.GraphProto
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializer(int) - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerBuilder(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerBuilderList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerCount() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerCount() - Method in class onnx.OnnxMlProto3.GraphProto
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerCount() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerCount() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerCount() - Method in class onnx.OnnxProto3.GraphProto
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerCount() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerList() - Method in class onnx.OnnxMlProto3.GraphProto
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerList() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerList() - Method in class onnx.OnnxProto3.GraphProto
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerList() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerName() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the initializer op.
- getInitializerName() - Method in class org.tensorflow.framework.VariableDef
-
Name of the initializer op.
- getInitializerName() - Method in interface org.tensorflow.framework.VariableDefOrBuilder
-
Name of the initializer op.
- getInitializerNameBytes() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the initializer op.
- getInitializerNameBytes() - Method in class org.tensorflow.framework.VariableDef
-
Name of the initializer op.
- getInitializerNameBytes() - Method in interface org.tensorflow.framework.VariableDefOrBuilder
-
Name of the initializer op.
- getInitializerOrBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerOrBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerOrBuilder(int) - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerOrBuilder(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerOrBuilder(int) - Method in class onnx.OnnxProto3.GraphProto
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerOrBuilder(int) - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerOrBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerOrBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerOrBuilderList() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerOrBuilderList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerOrBuilderList() - Method in class onnx.OnnxProto3.GraphProto
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerOrBuilderList() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitialValueName() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the tensor holding the variable's initial value.
- getInitialValueName() - Method in class org.tensorflow.framework.VariableDef
-
Name of the tensor holding the variable's initial value.
- getInitialValueName() - Method in interface org.tensorflow.framework.VariableDefOrBuilder
-
Name of the tensor holding the variable's initial value.
- getInitialValueNameBytes() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the tensor holding the variable's initial value.
- getInitialValueNameBytes() - Method in class org.tensorflow.framework.VariableDef
-
Name of the tensor holding the variable's initial value.
- getInitialValueNameBytes() - Method in interface org.tensorflow.framework.VariableDefOrBuilder
-
Name of the tensor holding the variable's initial value.
- getInput(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- getInput(int) - Method in class onnx.OnnxMlProto3.GraphProto
-
The inputs and outputs of the graph.
- getInput(int) - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
The inputs and outputs of the graph.
- getInput(int) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- getInput(int) - Method in class onnx.OnnxMlProto3.NodeProto
-
namespace Value
- getInput(int) - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
namespace Value
- getInput(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- getInput(int) - Method in class onnx.OnnxProto3.GraphProto
-
The inputs and outputs of the graph.
- getInput(int) - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
The inputs and outputs of the graph.
- getInput(int) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- getInput(int) - Method in class onnx.OnnxProto3.NodeProto
-
namespace Value
- getInput(int) - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
namespace Value
- getInput(int) - Method in class org.tensorflow.framework.NodeDef.Builder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInput(int) - Method in class org.tensorflow.framework.NodeDef
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInput(int) - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputArg(int) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- getInputArg(int) - Method in class org.tensorflow.framework.OpDef
-
Description of the input(s).
- getInputArg(int) - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Description of the input(s).
- getInputArgBuilder(int) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- getInputArgBuilderList() - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- getInputArgCount() - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- getInputArgCount() - Method in class org.tensorflow.framework.OpDef
-
Description of the input(s).
- getInputArgCount() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Description of the input(s).
- getInputArgList() - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- getInputArgList() - Method in class org.tensorflow.framework.OpDef
-
Description of the input(s).
- getInputArgList() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Description of the input(s).
- getInputArgOrBuilder(int) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- getInputArgOrBuilder(int) - Method in class org.tensorflow.framework.OpDef
-
Description of the input(s).
- getInputArgOrBuilder(int) - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Description of the input(s).
- getInputArgOrBuilderList() - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- getInputArgOrBuilderList() - Method in class org.tensorflow.framework.OpDef
-
Description of the input(s).
- getInputArgOrBuilderList() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Description of the input(s).
- getInputArgument(int) - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
-
- getInputArgument(int) - Method in interface org.nd4j.linalg.api.ops.CustomOp
-
- getInputArgument(int) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
-
- getInputArgument(int) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
-
- getInputArgument(int) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
-
- getInputArrays() - Method in class org.nd4j.linalg.api.ops.BaseOpContext
-
- getInputArrays() - Method in interface org.nd4j.linalg.api.ops.OpContext
-
This method returns List of input arrays defined within this context
- getInputBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- getInputBuilder(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- getInputBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- getInputBuilderList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- getInputBytes(int) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- getInputBytes(int) - Method in class onnx.OnnxMlProto3.NodeProto
-
namespace Value
- getInputBytes(int) - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
namespace Value
- getInputBytes(int) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- getInputBytes(int) - Method in class onnx.OnnxProto3.NodeProto
-
namespace Value
- getInputBytes(int) - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
namespace Value
- getInputBytes(int) - Method in class org.tensorflow.framework.NodeDef.Builder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputBytes(int) - Method in class org.tensorflow.framework.NodeDef
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputBytes(int) - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputCount() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- getInputCount() - Method in class onnx.OnnxMlProto3.GraphProto
-
The inputs and outputs of the graph.
- getInputCount() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
The inputs and outputs of the graph.
- getInputCount() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- getInputCount() - Method in class onnx.OnnxMlProto3.NodeProto
-
namespace Value
- getInputCount() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
namespace Value
- getInputCount() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- getInputCount() - Method in class onnx.OnnxProto3.GraphProto
-
The inputs and outputs of the graph.
- getInputCount() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
The inputs and outputs of the graph.
- getInputCount() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- getInputCount() - Method in class onnx.OnnxProto3.NodeProto
-
namespace Value
- getInputCount() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
namespace Value
- getInputCount() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
int32 input_count = 6;
- getInputCount() - Method in class org.tensorflow.framework.GraphTransferNodeInfo
-
int32 input_count = 6;
- getInputCount() - Method in interface org.tensorflow.framework.GraphTransferNodeInfoOrBuilder
-
int32 input_count = 6;
- getInputCount() - Method in class org.tensorflow.framework.NodeDef.Builder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputCount() - Method in class org.tensorflow.framework.NodeDef
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputCount() - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputFromNode(NODE_TYPE, int) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
Get the input node for the given node
- getInputFromNode(OnnxProto3.NodeProto, int) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getInputFromNode(NodeDef, int) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getInputInfo(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfo(int) - Method in class org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfo(int) - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoBuilderList() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoCount() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoCount() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoCount() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoList() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoList() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoList() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoOrBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoOrBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoOrBuilder(int) - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoOrBuilderList() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoOrBuilderList() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoOrBuilderList() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- getInputList() - Method in class onnx.OnnxMlProto3.GraphProto
-
The inputs and outputs of the graph.
- getInputList() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
The inputs and outputs of the graph.
- getInputList() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- getInputList() - Method in class onnx.OnnxMlProto3.NodeProto
-
namespace Value
- getInputList() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
namespace Value
- getInputList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- getInputList() - Method in class onnx.OnnxProto3.GraphProto
-
The inputs and outputs of the graph.
- getInputList() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
The inputs and outputs of the graph.
- getInputList() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- getInputList() - Method in class onnx.OnnxProto3.NodeProto
-
namespace Value
- getInputList() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
namespace Value
- getInputList() - Method in class org.tensorflow.framework.NodeDef.Builder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputList() - Method in class org.tensorflow.framework.NodeDef
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputList() - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputOrBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- getInputOrBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto
-
The inputs and outputs of the graph.
- getInputOrBuilder(int) - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
The inputs and outputs of the graph.
- getInputOrBuilder(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- getInputOrBuilder(int) - Method in class onnx.OnnxProto3.GraphProto
-
The inputs and outputs of the graph.
- getInputOrBuilder(int) - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
The inputs and outputs of the graph.
- getInputOrBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- getInputOrBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto
-
The inputs and outputs of the graph.
- getInputOrBuilderList() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
The inputs and outputs of the graph.
- getInputOrBuilderList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- getInputOrBuilderList() - Method in class onnx.OnnxProto3.GraphProto
-
The inputs and outputs of the graph.
- getInputOrBuilderList() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
The inputs and outputs of the graph.
- getInputs() - Method in class org.tensorflow.framework.SignatureDef.Builder
-
Deprecated.
- getInputs() - Method in class org.tensorflow.framework.SignatureDef
-
Deprecated.
- getInputs() - Method in interface org.tensorflow.framework.SignatureDefOrBuilder
-
Deprecated.
- getInputs(int) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputs(int) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputs(int) - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsBuilder(int) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsBuilderList() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsCount() - Method in class org.tensorflow.framework.SignatureDef.Builder
-
- getInputsCount() - Method in class org.tensorflow.framework.SignatureDef
-
- getInputsCount() - Method in interface org.tensorflow.framework.SignatureDefOrBuilder
-
Named input parameters.
- getInputsCount() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsCount() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsCount() - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsForFunction(DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Returns the name(s) of the inputs for the given function
- getInputsList() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsList() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsList() - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsMap() - Method in class org.tensorflow.framework.SignatureDef.Builder
-
Named input parameters.
- getInputsMap() - Method in class org.tensorflow.framework.SignatureDef
-
Named input parameters.
- getInputsMap() - Method in interface org.tensorflow.framework.SignatureDefOrBuilder
-
Named input parameters.
- getInputsOrBuilder(int) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsOrBuilder(int) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsOrBuilder(int) - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsOrBuilderList() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsOrBuilderList() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsOrBuilderList() - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsOrDefault(String, TensorInfo) - Method in class org.tensorflow.framework.SignatureDef.Builder
-
Named input parameters.
- getInputsOrDefault(String, TensorInfo) - Method in class org.tensorflow.framework.SignatureDef
-
Named input parameters.
- getInputsOrDefault(String, TensorInfo) - Method in interface org.tensorflow.framework.SignatureDefOrBuilder
-
Named input parameters.
- getInputsOrThrow(String) - Method in class org.tensorflow.framework.SignatureDef.Builder
-
Named input parameters.
- getInputsOrThrow(String) - Method in class org.tensorflow.framework.SignatureDef
-
Named input parameters.
- getInputsOrThrow(String) - Method in interface org.tensorflow.framework.SignatureDefOrBuilder
-
Named input parameters.
- getInputStats(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Get normalization statistics for a given input.
- getInputStats() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Get the map of normalization statistics per input
- getInputVariablesForFunction(DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Get the input variable(s) for the specified differential function
- getInputVars() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.WhileDerivative
-
- getInstance(String) - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder
-
- getInstance() - Static method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder
-
- getInstance() - Static method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getInstance() - Static method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
Singleton.
- getInstance() - Static method in class org.nd4j.linalg.api.ops.DefaultOpConverter
-
- getInstance() - Static method in class org.nd4j.linalg.api.ops.performance.PerformanceTracker
-
- getInstance() - Static method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
Get the ndarray compressor
singleton
- getInstance() - Static method in class org.nd4j.linalg.heartbeat.Heartbeat
-
- getInstance() - Static method in class org.nd4j.linalg.profiler.OpProfiler
-
- getInstanceKey() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
int32 instance_key = 7;
- getInstanceKey() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest
-
int32 instance_key = 7;
- getInstanceKey() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
int32 instance_key = 7;
- getInstanceKey() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder
-
int32 instance_key = 1;
- getInstanceKey() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse
-
int32 instance_key = 1;
- getInstanceKey() - Method in interface org.tensorflow.distruntime.CompleteInstanceResponseOrBuilder
-
int32 instance_key = 1;
- getInt(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the elements at the specified indices
- getInt(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getInt(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getInt(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get an integer value at the specified indices.
- getInt32Data(int) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32Data(int) - Method in class onnx.OnnxMlProto3.TensorProto
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32Data(int) - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32Data(int) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32Data(int) - Method in class onnx.OnnxProto3.TensorProto
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32Data(int) - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32DataCount() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32DataCount() - Method in class onnx.OnnxMlProto3.TensorProto
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32DataCount() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32DataCount() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32DataCount() - Method in class onnx.OnnxProto3.TensorProto
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32DataCount() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32DataList() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32DataList() - Method in class onnx.OnnxMlProto3.TensorProto
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32DataList() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32DataList() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32DataList() - Method in class onnx.OnnxProto3.TensorProto
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32DataList() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt64Data(int) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For int64.
- getInt64Data(int) - Method in class onnx.OnnxMlProto3.TensorProto
-
For int64.
- getInt64Data(int) - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For int64.
- getInt64Data(int) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For int64.
- getInt64Data(int) - Method in class onnx.OnnxProto3.TensorProto
-
For int64.
- getInt64Data(int) - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For int64.
- getInt64DataCount() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For int64.
- getInt64DataCount() - Method in class onnx.OnnxMlProto3.TensorProto
-
For int64.
- getInt64DataCount() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For int64.
- getInt64DataCount() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For int64.
- getInt64DataCount() - Method in class onnx.OnnxProto3.TensorProto
-
For int64.
- getInt64DataCount() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For int64.
- getInt64DataList() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For int64.
- getInt64DataList() - Method in class onnx.OnnxMlProto3.TensorProto
-
For int64.
- getInt64DataList() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For int64.
- getInt64DataList() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For int64.
- getInt64DataList() - Method in class onnx.OnnxProto3.TensorProto
-
For int64.
- getInt64DataList() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For int64.
- getInt64List() - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.Int64List int64_list = 3;
- getInt64List() - Method in class org.tensorflow.framework.CollectionDef
-
.tensorflow.CollectionDef.Int64List int64_list = 3;
- getInt64List() - Method in interface org.tensorflow.framework.CollectionDefOrBuilder
-
.tensorflow.CollectionDef.Int64List int64_list = 3;
- getInt64ListBuilder() - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.Int64List int64_list = 3;
- getInt64ListOrBuilder() - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.Int64List int64_list = 3;
- getInt64ListOrBuilder() - Method in class org.tensorflow.framework.CollectionDef
-
.tensorflow.CollectionDef.Int64List int64_list = 3;
- getInt64ListOrBuilder() - Method in interface org.tensorflow.framework.CollectionDefOrBuilder
-
.tensorflow.CollectionDef.Int64List int64_list = 3;
- getInt64Val(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_INT64
- getInt64Val(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_INT64
- getInt64Val(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_INT64
- getInt64ValCount() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_INT64
- getInt64ValCount() - Method in class org.tensorflow.framework.TensorProto
-
DT_INT64
- getInt64ValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_INT64
- getInt64ValList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_INT64
- getInt64ValList() - Method in class org.tensorflow.framework.TensorProto
-
DT_INT64
- getInt64ValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_INT64
- getIntArrayArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
- getIntArrayArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- getInterOpParallelismThreads() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Nodes that perform blocking operations are enqueued on a pool of
inter_op_parallelism_threads available in each process.
- getInterOpParallelismThreads() - Method in class org.tensorflow.framework.ConfigProto
-
Nodes that perform blocking operations are enqueued on a pool of
inter_op_parallelism_threads available in each process.
- getInterOpParallelismThreads() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
Nodes that perform blocking operations are enqueued on a pool of
inter_op_parallelism_threads available in each process.
- getInterOpThreadPool() - Method in class org.tensorflow.framework.RunOptions.Builder
-
The thread pool to use, if session_inter_op_thread_pool is configured.
- getInterOpThreadPool() - Method in class org.tensorflow.framework.RunOptions
-
The thread pool to use, if session_inter_op_thread_pool is configured.
- getInterOpThreadPool() - Method in interface org.tensorflow.framework.RunOptionsOrBuilder
-
The thread pool to use, if session_inter_op_thread_pool is configured.
- getIntraOpParallelismThreads() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
The execution of an individual op (for some op types) can be
parallelized on a pool of intra_op_parallelism_threads.
- getIntraOpParallelismThreads() - Method in class org.tensorflow.framework.ConfigProto
-
The execution of an individual op (for some op types) can be
parallelized on a pool of intra_op_parallelism_threads.
- getIntraOpParallelismThreads() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
The execution of an individual op (for some op types) can be
parallelized on a pool of intra_op_parallelism_threads.
- getInts(int) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of ints
- getInts(int) - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of ints
- getInts(int) - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of ints
- getInts(int) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of ints
- getInts(int) - Method in class onnx.OnnxProto3.AttributeProto
-
list of ints
- getInts(int) - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of ints
- getIntsCount() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of ints
- getIntsCount() - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of ints
- getIntsCount() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of ints
- getIntsCount() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of ints
- getIntsCount() - Method in class onnx.OnnxProto3.AttributeProto
-
list of ints
- getIntsCount() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of ints
- getIntsList() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of ints
- getIntsList() - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of ints
- getIntsList() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of ints
- getIntsList() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of ints
- getIntsList() - Method in class onnx.OnnxProto3.AttributeProto
-
list of ints
- getIntsList() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of ints
- getIntVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- getIntVal(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- getIntVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- getIntValCount() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- getIntValCount() - Method in class org.tensorflow.framework.TensorProto
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- getIntValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- getIntValList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- getIntValList() - Method in class org.tensorflow.framework.TensorProto
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- getIntValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- getInvocationsCount() - Method in class org.nd4j.linalg.profiler.OpProfiler
-
- getIrBuildMetadata() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The build metadata component of the SemVer of the IR.
- getIrBuildMetadata() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
The build metadata component of the SemVer of the IR.
- getIrBuildMetadata() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
The build metadata component of the SemVer of the IR.
- getIrBuildMetadataBytes() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The build metadata component of the SemVer of the IR.
- getIrBuildMetadataBytes() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
The build metadata component of the SemVer of the IR.
- getIrBuildMetadataBytes() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
The build metadata component of the SemVer of the IR.
- getIrVersion() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The version of the IR this model targets.
- getIrVersion() - Method in class onnx.OnnxMlProto3.ModelProto
-
The version of the IR this model targets.
- getIrVersion() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
The version of the IR this model targets.
- getIrVersion() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
All OperatorSetProtos indicate the version of the IR syntax and semantics
they adhere to.
- getIrVersion() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
All OperatorSetProtos indicate the version of the IR syntax and semantics
they adhere to.
- getIrVersion() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
All OperatorSetProtos indicate the version of the IR syntax and semantics
they adhere to.
- getIrVersion() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The version of the IR this model targets.
- getIrVersion() - Method in class onnx.OnnxProto3.ModelProto
-
The version of the IR this model targets.
- getIrVersion() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
The version of the IR this model targets.
- getIrVersionPrerelease() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The prerelease component of the SemVer of the IR.
- getIrVersionPrerelease() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
The prerelease component of the SemVer of the IR.
- getIrVersionPrerelease() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
The prerelease component of the SemVer of the IR.
- getIrVersionPrereleaseBytes() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The prerelease component of the SemVer of the IR.
- getIrVersionPrereleaseBytes() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
The prerelease component of the SemVer of the IR.
- getIrVersionPrereleaseBytes() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
The prerelease component of the SemVer of the IR.
- getIsAggregate() - Method in class org.tensorflow.framework.OpDef.Builder
-
If is_aggregate is true, then this operation accepts N >= 2
inputs and produces 1 output all of the same type.
- getIsAggregate() - Method in class org.tensorflow.framework.OpDef
-
If is_aggregate is true, then this operation accepts N >= 2
inputs and produces 1 output all of the same type.
- getIsAggregate() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
If is_aggregate is true, then this operation accepts N >= 2
inputs and produces 1 output all of the same type.
- getIsCommutative() - Method in class org.tensorflow.framework.OpDef.Builder
-
True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
- getIsCommutative() - Method in class org.tensorflow.framework.OpDef
-
True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
- getIsCommutative() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
- getIsDead() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
-
True if value is 'dead' like a tensor.
- getIsDead() - Method in class org.tensorflow.distruntime.RecvBufResponse
-
True if value is 'dead' like a tensor.
- getIsDead() - Method in interface org.tensorflow.distruntime.RecvBufResponseOrBuilder
-
True if value is 'dead' like a tensor.
- getIsDead() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
-
If true, this tensor was the output of a dead node, and the
content is invalid.
- getIsDead() - Method in class org.tensorflow.distruntime.RecvTensorResponse
-
If true, this tensor was the output of a dead node, and the
content is invalid.
- getIsDead() - Method in interface org.tensorflow.distruntime.RecvTensorResponseOrBuilder
-
If true, this tensor was the output of a dead node, and the
content is invalid.
- getIsFinal() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
If true, the output is permanent: it can't be discarded, because this
node is part of the "final output".
- getIsFinal() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
If true, the output is permanent: it can't be discarded, because this
node is part of the "final output".
- getIsFinal() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
If true, the output is permanent: it can't be discarded, because this
node is part of the "final output".
- getIsLastPartialRun() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
True if this is the last partial run request in a sequence of requests.
- getIsLastPartialRun() - Method in class org.tensorflow.distruntime.RunGraphRequest
-
True if this is the last partial run request in a sequence of requests.
- getIsLastPartialRun() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
True if this is the last partial run request in a sequence of requests.
- getIsolateSessionState() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
If true, any resources such as Variables used in the session will not be
shared with other sessions.
- getIsolateSessionState() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest
-
If true, any resources such as Variables used in the session will not be
shared with other sessions.
- getIsolateSessionState() - Method in interface org.tensorflow.distruntime.CreateWorkerSessionRequestOrBuilder
-
If true, any resources such as Variables used in the session will not be
shared with other sessions.
- getIsolateSessionState() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
If true, any resources such as Variables used in the session will not be
shared with other sessions.
- getIsolateSessionState() - Method in class org.tensorflow.framework.ConfigProto
-
If true, any resources such as Variables used in the session will not be
shared with other sessions.
- getIsolateSessionState() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
If true, any resources such as Variables used in the session will not be
shared with other sessions.
- getIsPartial() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
True if the RunGraphRequest is a partial run request.
- getIsPartial() - Method in class org.tensorflow.distruntime.RunGraphRequest
-
True if the RunGraphRequest is a partial run request.
- getIsPartial() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
True if the RunGraphRequest is a partial run request.
- getIsRef() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
For inputs: if true, the inputs are required to be refs.
- getIsRef() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
For inputs: if true, the inputs are required to be refs.
- getIsRef() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
For inputs: if true, the inputs are required to be refs.
- getIsResource() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Whether to represent this as a ResourceVariable.
- getIsResource() - Method in class org.tensorflow.framework.VariableDef
-
Whether to represent this as a ResourceVariable.
- getIsResource() - Method in interface org.tensorflow.framework.VariableDefOrBuilder
-
Whether to represent this as a ResourceVariable.
- getIsSource() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
bool is_source = 11;
- getIsSource() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest
-
bool is_source = 11;
- getIsSource() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
bool is_source = 11;
- getIsStateful() - Method in class org.tensorflow.framework.OpDef.Builder
-
Ops are marked as stateful if their behavior depends on some state beyond
their input tensors (e.g.
- getIsStateful() - Method in class org.tensorflow.framework.OpDef
-
Ops are marked as stateful if their behavior depends on some state beyond
their input tensors (e.g.
- getIsStateful() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Ops are marked as stateful if their behavior depends on some state beyond
their input tensors (e.g.
- getItemCase() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
- getItemCase() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem
-
- getItemCase() - Method in interface tensorflow.eager.EagerServiceOuterClass.QueueItemOrBuilder
-
- getJob(int) - Method in class org.tensorflow.distruntime.ClusterDef.Builder
-
The jobs that comprise the cluster.
- getJob(int) - Method in class org.tensorflow.distruntime.ClusterDef
-
The jobs that comprise the cluster.
- getJob(int) - Method in interface org.tensorflow.distruntime.ClusterDefOrBuilder
-
The jobs that comprise the cluster.
- getJobBuilder(int) - Method in class org.tensorflow.distruntime.ClusterDef.Builder
-
The jobs that comprise the cluster.
- getJobBuilderList() - Method in class org.tensorflow.distruntime.ClusterDef.Builder
-
The jobs that comprise the cluster.
- getJobCount() - Method in class org.tensorflow.distruntime.ClusterDef.Builder
-
The jobs that comprise the cluster.
- getJobCount() - Method in class org.tensorflow.distruntime.ClusterDef
-
The jobs that comprise the cluster.
- getJobCount() - Method in interface org.tensorflow.distruntime.ClusterDefOrBuilder
-
The jobs that comprise the cluster.
- getJobList() - Method in class org.tensorflow.distruntime.ClusterDef.Builder
-
The jobs that comprise the cluster.
- getJobList() - Method in class org.tensorflow.distruntime.ClusterDef
-
The jobs that comprise the cluster.
- getJobList() - Method in interface org.tensorflow.distruntime.ClusterDefOrBuilder
-
The jobs that comprise the cluster.
- getJobName() - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
The name of the job of which this server is a member.
- getJobName() - Method in class org.tensorflow.distruntime.ServerDef
-
The name of the job of which this server is a member.
- getJobName() - Method in interface org.tensorflow.distruntime.ServerDefOrBuilder
-
The name of the job of which this server is a member.
- getJobNameBytes() - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
The name of the job of which this server is a member.
- getJobNameBytes() - Method in class org.tensorflow.distruntime.ServerDef
-
The name of the job of which this server is a member.
- getJobNameBytes() - Method in interface org.tensorflow.distruntime.ServerDefOrBuilder
-
The name of the job of which this server is a member.
- getJobOrBuilder(int) - Method in class org.tensorflow.distruntime.ClusterDef.Builder
-
The jobs that comprise the cluster.
- getJobOrBuilder(int) - Method in class org.tensorflow.distruntime.ClusterDef
-
The jobs that comprise the cluster.
- getJobOrBuilder(int) - Method in interface org.tensorflow.distruntime.ClusterDefOrBuilder
-
The jobs that comprise the cluster.
- getJobOrBuilderList() - Method in class org.tensorflow.distruntime.ClusterDef.Builder
-
The jobs that comprise the cluster.
- getJobOrBuilderList() - Method in class org.tensorflow.distruntime.ClusterDef
-
The jobs that comprise the cluster.
- getJobOrBuilderList() - Method in interface org.tensorflow.distruntime.ClusterDefOrBuilder
-
The jobs that comprise the cluster.
- getKeepAliveSecs() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
Number of seconds to keep the context alive.
- getKeepAliveSecs() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
-
Number of seconds to keep the context alive.
- getKeepAliveSecs() - Method in interface tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder
-
Number of seconds to keep the context alive.
- getKeepCheckpointEveryNHours() - Method in class org.tensorflow.util.SaverDef.Builder
-
How often to keep an additional checkpoint.
- getKeepCheckpointEveryNHours() - Method in class org.tensorflow.util.SaverDef
-
How often to keep an additional checkpoint.
- getKeepCheckpointEveryNHours() - Method in interface org.tensorflow.util.SaverDefOrBuilder
-
How often to keep an additional checkpoint.
- getKernelName() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Name of the kernel making the allocation as set in GraphDef,
e.g., "affine2/weights/Assign".
- getKernelName() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation
-
Name of the kernel making the allocation as set in GraphDef,
e.g., "affine2/weights/Assign".
- getKernelName() - Method in interface org.tensorflow.framework.MemoryLogTensorAllocationOrBuilder
-
Name of the kernel making the allocation as set in GraphDef,
e.g., "affine2/weights/Assign".
- getKernelName() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Name of the kernel producing an output as set in GraphDef, e.g.,
"affine2/weights/Assign".
- getKernelName() - Method in class org.tensorflow.framework.MemoryLogTensorOutput
-
Name of the kernel producing an output as set in GraphDef, e.g.,
"affine2/weights/Assign".
- getKernelName() - Method in interface org.tensorflow.framework.MemoryLogTensorOutputOrBuilder
-
Name of the kernel producing an output as set in GraphDef, e.g.,
"affine2/weights/Assign".
- getKernelNameBytes() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Name of the kernel making the allocation as set in GraphDef,
e.g., "affine2/weights/Assign".
- getKernelNameBytes() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation
-
Name of the kernel making the allocation as set in GraphDef,
e.g., "affine2/weights/Assign".
- getKernelNameBytes() - Method in interface org.tensorflow.framework.MemoryLogTensorAllocationOrBuilder
-
Name of the kernel making the allocation as set in GraphDef,
e.g., "affine2/weights/Assign".
- getKernelNameBytes() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Name of the kernel producing an output as set in GraphDef, e.g.,
"affine2/weights/Assign".
- getKernelNameBytes() - Method in class org.tensorflow.framework.MemoryLogTensorOutput
-
Name of the kernel producing an output as set in GraphDef, e.g.,
"affine2/weights/Assign".
- getKernelNameBytes() - Method in interface org.tensorflow.framework.MemoryLogTensorOutputOrBuilder
-
Name of the kernel producing an output as set in GraphDef, e.g.,
"affine2/weights/Assign".
- getKey() - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
string key = 1;
- getKey() - Method in class onnx.OnnxMlProto3.StringStringEntryProto
-
string key = 1;
- getKey() - Method in interface onnx.OnnxMlProto3.StringStringEntryProtoOrBuilder
-
string key = 1;
- getKey() - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
string key = 1;
- getKey() - Method in class onnx.OnnxProto3.StringStringEntryProto
-
string key = 1;
- getKey() - Method in interface onnx.OnnxProto3.StringStringEntryProtoOrBuilder
-
string key = 1;
- getKeyBytes() - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
string key = 1;
- getKeyBytes() - Method in class onnx.OnnxMlProto3.StringStringEntryProto
-
string key = 1;
- getKeyBytes() - Method in interface onnx.OnnxMlProto3.StringStringEntryProtoOrBuilder
-
string key = 1;
- getKeyBytes() - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
string key = 1;
- getKeyBytes() - Method in class onnx.OnnxProto3.StringStringEntryProto
-
string key = 1;
- getKeyBytes() - Method in interface onnx.OnnxProto3.StringStringEntryProtoOrBuilder
-
string key = 1;
- getKeys(int) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
Keys for tensors in the VariantTensorDataProto.
- getKeys(int) - Method in class org.tensorflow.util.IteratorStateMetadata
-
Keys for tensors in the VariantTensorDataProto.
- getKeys(int) - Method in interface org.tensorflow.util.IteratorStateMetadataOrBuilder
-
Keys for tensors in the VariantTensorDataProto.
- getKeysBytes(int) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
Keys for tensors in the VariantTensorDataProto.
- getKeysBytes(int) - Method in class org.tensorflow.util.IteratorStateMetadata
-
Keys for tensors in the VariantTensorDataProto.
- getKeysBytes(int) - Method in interface org.tensorflow.util.IteratorStateMetadataOrBuilder
-
Keys for tensors in the VariantTensorDataProto.
- getKeysCount() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
Keys for tensors in the VariantTensorDataProto.
- getKeysCount() - Method in class org.tensorflow.util.IteratorStateMetadata
-
Keys for tensors in the VariantTensorDataProto.
- getKeysCount() - Method in interface org.tensorflow.util.IteratorStateMetadataOrBuilder
-
Keys for tensors in the VariantTensorDataProto.
- getKeysList() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
Keys for tensors in the VariantTensorDataProto.
- getKeysList() - Method in class org.tensorflow.util.IteratorStateMetadata
-
Keys for tensors in the VariantTensorDataProto.
- getKeysList() - Method in interface org.tensorflow.util.IteratorStateMetadataOrBuilder
-
Keys for tensors in the VariantTensorDataProto.
- getKeyType() - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
This field MUST be present for this version of the IR.
- getKeyType() - Method in class onnx.OnnxMlProto3.TypeProto.Map
-
This field MUST be present for this version of the IR.
- getKeyType() - Method in interface onnx.OnnxMlProto3.TypeProto.MapOrBuilder
-
This field MUST be present for this version of the IR.
- getKeyTypeValue() - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
This field MUST be present for this version of the IR.
- getKeyTypeValue() - Method in class onnx.OnnxMlProto3.TypeProto.Map
-
This field MUST be present for this version of the IR.
- getKeyTypeValue() - Method in interface onnx.OnnxMlProto3.TypeProto.MapOrBuilder
-
This field MUST be present for this version of the IR.
- getKindCase() - Method in class org.tensorflow.framework.CollectionDef.Builder
-
- getKindCase() - Method in class org.tensorflow.framework.CollectionDef
-
- getKindCase() - Method in interface org.tensorflow.framework.CollectionDefOrBuilder
-
- getL1CacheSize() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
L1 cache size in bytes
- getL1CacheSize() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties
-
L1 cache size in bytes
- getL1CacheSize() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
L1 cache size in bytes
- getL2CacheSize() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
L2 cache size in bytes
- getL2CacheSize() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties
-
L2 cache size in bytes
- getL2CacheSize() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
L2 cache size in bytes
- getL3CacheSize() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
L3 cache size in bytes
- getL3CacheSize() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties
-
L3 cache size in bytes
- getL3CacheSize() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
L3 cache size in bytes
- getLabel() - Method in class org.tensorflow.framework.KernelDef.Builder
-
This allows experimental kernels to be registered for an op that
won't be used unless the user specifies a "_kernel" attr with
value matching this.
- getLabel() - Method in class org.tensorflow.framework.KernelDef
-
This allows experimental kernels to be registered for an op that
won't be used unless the user specifies a "_kernel" attr with
value matching this.
- getLabel() - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
This allows experimental kernels to be registered for an op that
won't be used unless the user specifies a "_kernel" attr with
value matching this.
- getLabelBytes() - Method in class org.tensorflow.framework.KernelDef.Builder
-
This allows experimental kernels to be registered for an op that
won't be used unless the user specifies a "_kernel" attr with
value matching this.
- getLabelBytes() - Method in class org.tensorflow.framework.KernelDef
-
This allows experimental kernels to be registered for an op that
won't be used unless the user specifies a "_kernel" attr with
value matching this.
- getLabelBytes() - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
This allows experimental kernels to be registered for an op that
won't be used unless the user specifies a "_kernel" attr with
value matching this.
- getLabelCountsEachClass() - Method in class org.nd4j.evaluation.classification.EvaluationCalibration
-
- getLabelMax(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler
-
- getLabelMax() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- getLabelMean(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize
-
- getLabelMean() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
-
- getLabelMin(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler
-
- getLabelMin() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- getLabelName(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- getLabelName(int) - Method in class org.nd4j.linalg.dataset.DataSet
-
- getLabelNames() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Deprecated.
- getLabelNames(INDArray) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- getLabelNames(INDArray) - Method in class org.nd4j.linalg.dataset.DataSet
-
- getLabelNames() - Method in class org.nd4j.linalg.dataset.DataSet
-
Deprecated.
- getLabelNamesList() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- getLabelNamesList() - Method in class org.nd4j.linalg.dataset.DataSet
-
Gets the optional label names
- getLabels() - Method in class org.nd4j.linalg.dataset.adapter.SingletonDataSetIterator
-
- getLabels() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
- getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- getLabels() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
-
Get dataset iterator class labels, if any.
- getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
-
- getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
-
Deprecated.
- getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
- getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
-
- getLabels() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get all of the labels, as an array of INDArrays
- getLabels(int) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get a single label/output array
- getLabels() - Method in class org.nd4j.linalg.dataset.DataSet
-
Returns the labels for the dataset
- getLabels() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
-
- getLabels() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- getLabels() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getLabels(int) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getLabels() - Method in class org.nd4j.linalg.dataset.ViewIterator
-
- getLabelsMaskArray() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Labels (output) mask array: a mask array for input, where each value is in {0,1} in order to specify whether an
output is actually present or not.
- getLabelsMaskArray(int) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get the specified label mask array.
- getLabelsMaskArray() - Method in class org.nd4j.linalg.dataset.DataSet
-
- getLabelsMaskArray(int) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getLabelsMaskArrays() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get the labels mask arrays.
- getLabelsMaskArrays() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getLabelStats() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer
-
- getLabelStats(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
- getLabelStats() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
- getLabelStd(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize
-
- getLabelStd() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
-
- getLabelWidth() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
-
Returns the width of each label vector.
- getLastCycleAllocations() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method returns amount of memory consumed in last successful cycle, in bytes
- getLastCycleAllocations() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns number of bytes allocated during last full cycle
- getLastDescriptor() - Method in class org.nd4j.linalg.profiler.data.StackAggregator
-
- getLastGcTime() - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- getLastGcTime() - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method returns time (in milliseconds) of the las System.gc() call
- getLastModified() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
The timestamp at which the source code file is last modified.
- getLastModified() - Method in class org.tensorflow.framework.DebuggedSourceFile
-
The timestamp at which the source code file is last modified.
- getLastModified() - Method in interface org.tensorflow.framework.DebuggedSourceFileOrBuilder
-
The timestamp at which the source code file is last modified.
- getLastOp() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- getLastOp() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method returns opName of the last invoked op
- getLayoutOptimizer() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Optimize tensor layouts (default is ON)
e.g.
- getLayoutOptimizer() - Method in class org.tensorflow.framework.RewriterConfig
-
Optimize tensor layouts (default is ON)
e.g.
- getLayoutOptimizer() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
Optimize tensor layouts (default is ON)
e.g.
- getLayoutOptimizerValue() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Optimize tensor layouts (default is ON)
e.g.
- getLayoutOptimizerValue() - Method in class org.tensorflow.framework.RewriterConfig
-
Optimize tensor layouts (default is ON)
e.g.
- getLayoutOptimizerValue() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
Optimize tensor layouts (default is ON)
e.g.
- getLd(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Get the leading dimension
for a blas invocation.
- getLeadingOnes() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getLeadingOnes() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getLeadingOnes() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get the number of leading ones in the array shape.
- getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.AdaDelta
-
- getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.AdaGrad
-
- getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.Adam
-
- getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.AdaMax
-
- getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.AMSGrad
-
- getLearningRate(int, int) - Method in interface org.nd4j.linalg.learning.config.IUpdater
-
Get the learning rate - if any - for the updater, at the specified iteration and epoch.
- getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.Nadam
-
- getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.Nesterovs
-
- getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.NoOp
-
- getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.RmsProp
-
- getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.Sgd
-
- getLegacyJsonMapper() - Method in class org.nd4j.serde.json.BaseLegacyDeserializer
-
- getLegacyJsonMapper() - Method in class org.nd4j.serde.json.LegacyIActivationDeserializer
-
- getLegacyJsonMapper() - Method in class org.nd4j.serde.json.LegacyILossFunctionDeserializer
-
- getLegacyNamesMap() - Method in class org.nd4j.serde.json.BaseLegacyDeserializer
-
- getLegacyNamesMap() - Method in class org.nd4j.serde.json.LegacyIActivationDeserializer
-
- getLegacyNamesMap() - Method in class org.nd4j.serde.json.LegacyILossFunctionDeserializer
-
- getLegacyOpClassForId(Op.Type, int) - Static method in class org.nd4j.autodiff.samediff.serde.LegacyOpMapper
-
- getLength() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
int64 length = 2;
- getLength() - Method in class org.tensorflow.framework.TensorSliceProto.Extent
-
int64 length = 2;
- getLength() - Method in interface org.tensorflow.framework.TensorSliceProto.ExtentOrBuilder
-
int64 length = 2;
- getLengthFrames() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
Length of the audio in frames (samples per channel).
- getLengthFrames() - Method in class org.tensorflow.framework.Summary.Audio
-
Length of the audio in frames (samples per channel).
- getLengthFrames() - Method in interface org.tensorflow.framework.Summary.AudioOrBuilder
-
Length of the audio in frames (samples per channel).
- getLFactor(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- getLFactor(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLapack
-
- getLFactor(INDArray) - Method in interface org.nd4j.linalg.api.blas.Lapack
-
extracts the L (lower triangular) matrix from the LU factor result
L will be the same dimensions as A
- getLibrary() - Method in class org.tensorflow.framework.GraphDef.Builder
-
EXPERIMENTAL.
- getLibrary() - Method in class org.tensorflow.framework.GraphDef
-
EXPERIMENTAL.
- getLibrary() - Method in interface org.tensorflow.framework.GraphDefOrBuilder
-
EXPERIMENTAL.
- getLibraryBuilder() - Method in class org.tensorflow.framework.GraphDef.Builder
-
EXPERIMENTAL.
- getLibraryOrBuilder() - Method in class org.tensorflow.framework.GraphDef.Builder
-
EXPERIMENTAL.
- getLibraryOrBuilder() - Method in class org.tensorflow.framework.GraphDef
-
EXPERIMENTAL.
- getLibraryOrBuilder() - Method in interface org.tensorflow.framework.GraphDefOrBuilder
-
EXPERIMENTAL.
- getLines(int) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
Line-by-line content of the source code file.
- getLines(int) - Method in class org.tensorflow.framework.DebuggedSourceFile
-
Line-by-line content of the source code file.
- getLines(int) - Method in interface org.tensorflow.framework.DebuggedSourceFileOrBuilder
-
Line-by-line content of the source code file.
- getLinesBytes(int) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
Line-by-line content of the source code file.
- getLinesBytes(int) - Method in class org.tensorflow.framework.DebuggedSourceFile
-
Line-by-line content of the source code file.
- getLinesBytes(int) - Method in interface org.tensorflow.framework.DebuggedSourceFileOrBuilder
-
Line-by-line content of the source code file.
- getLinesCount() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
Line-by-line content of the source code file.
- getLinesCount() - Method in class org.tensorflow.framework.DebuggedSourceFile
-
Line-by-line content of the source code file.
- getLinesCount() - Method in interface org.tensorflow.framework.DebuggedSourceFileOrBuilder
-
Line-by-line content of the source code file.
- getLinesList() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
Line-by-line content of the source code file.
- getLinesList() - Method in class org.tensorflow.framework.DebuggedSourceFile
-
Line-by-line content of the source code file.
- getLinesList() - Method in interface org.tensorflow.framework.DebuggedSourceFileOrBuilder
-
Line-by-line content of the source code file.
- getLink(int) - Method in class org.tensorflow.framework.LocalLinks.Builder
-
repeated .tensorflow.InterconnectLink link = 1;
- getLink(int) - Method in class org.tensorflow.framework.LocalLinks
-
repeated .tensorflow.InterconnectLink link = 1;
- getLink(int) - Method in interface org.tensorflow.framework.LocalLinksOrBuilder
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinkBuilder(int) - Method in class org.tensorflow.framework.LocalLinks.Builder
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinkBuilderList() - Method in class org.tensorflow.framework.LocalLinks.Builder
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinkCount() - Method in class org.tensorflow.framework.LocalLinks.Builder
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinkCount() - Method in class org.tensorflow.framework.LocalLinks
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinkCount() - Method in interface org.tensorflow.framework.LocalLinksOrBuilder
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinkList() - Method in class org.tensorflow.framework.LocalLinks.Builder
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinkList() - Method in class org.tensorflow.framework.LocalLinks
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinkList() - Method in interface org.tensorflow.framework.LocalLinksOrBuilder
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinkOrBuilder(int) - Method in class org.tensorflow.framework.LocalLinks.Builder
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinkOrBuilder(int) - Method in class org.tensorflow.framework.LocalLinks
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinkOrBuilder(int) - Method in interface org.tensorflow.framework.LocalLinksOrBuilder
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinkOrBuilderList() - Method in class org.tensorflow.framework.LocalLinks.Builder
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinkOrBuilderList() - Method in class org.tensorflow.framework.LocalLinks
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinkOrBuilderList() - Method in interface org.tensorflow.framework.LocalLinksOrBuilder
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinks() - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
Optional local interconnect links to other devices.
- getLinks() - Method in class org.tensorflow.framework.DeviceLocality
-
Optional local interconnect links to other devices.
- getLinks() - Method in interface org.tensorflow.framework.DeviceLocalityOrBuilder
-
Optional local interconnect links to other devices.
- getLinksBuilder() - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
Optional local interconnect links to other devices.
- getLinksOrBuilder() - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
Optional local interconnect links to other devices.
- getLinksOrBuilder() - Method in class org.tensorflow.framework.DeviceLocality
-
Optional local interconnect links to other devices.
- getLinksOrBuilder() - Method in interface org.tensorflow.framework.DeviceLocalityOrBuilder
-
Optional local interconnect links to other devices.
- getList() - Method in class org.tensorflow.framework.AttrValue.Builder
-
any "list(...)"
- getList() - Method in class org.tensorflow.framework.AttrValue
-
any "list(...)"
- getList() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
any "list(...)"
- getListBuilder() - Method in class org.tensorflow.framework.AttrValue.Builder
-
any "list(...)"
- getListOrBuilder() - Method in class org.tensorflow.framework.AttrValue.Builder
-
any "list(...)"
- getListOrBuilder() - Method in class org.tensorflow.framework.AttrValue
-
any "list(...)"
- getListOrBuilder() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
any "list(...)"
- getLiveBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The bytes that are not deallocated.
- getLiveBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
The bytes that are not deallocated.
- getLiveBytes() - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
The bytes that are not deallocated.
- getLocalDevice(int) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDevice(int) - Method in class org.tensorflow.distruntime.ListDevicesResponse
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDevice(int) - Method in interface org.tensorflow.distruntime.ListDevicesResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDeviceBuilder(int) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDeviceBuilderList() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDeviceCount() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDeviceCount() - Method in class org.tensorflow.distruntime.ListDevicesResponse
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDeviceCount() - Method in interface org.tensorflow.distruntime.ListDevicesResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDeviceList() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDeviceList() - Method in class org.tensorflow.distruntime.ListDevicesResponse
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDeviceList() - Method in interface org.tensorflow.distruntime.ListDevicesResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDeviceOrBuilder(int) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDeviceOrBuilder(int) - Method in class org.tensorflow.distruntime.ListDevicesResponse
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDeviceOrBuilder(int) - Method in interface org.tensorflow.distruntime.ListDevicesResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDeviceOrBuilderList() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDeviceOrBuilderList() - Method in class org.tensorflow.distruntime.ListDevicesResponse
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDeviceOrBuilderList() - Method in interface org.tensorflow.distruntime.ListDevicesResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocality() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
Platform-specific data about device that may be useful
for supporting efficient data transfers.
- getLocality() - Method in class org.tensorflow.framework.DeviceAttributes
-
Platform-specific data about device that may be useful
for supporting efficient data transfers.
- getLocality() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder
-
Platform-specific data about device that may be useful
for supporting efficient data transfers.
- getLocalityBuilder() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
Platform-specific data about device that may be useful
for supporting efficient data transfers.
- getLocalityOrBuilder() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
Platform-specific data about device that may be useful
for supporting efficient data transfers.
- getLocalityOrBuilder() - Method in class org.tensorflow.framework.DeviceAttributes
-
Platform-specific data about device that may be useful
for supporting efficient data transfers.
- getLocalityOrBuilder() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder
-
Platform-specific data about device that may be useful
for supporting efficient data transfers.
- getLocalName() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
-
A user-provided name for the edge.
- getLocalName() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
-
A user-provided name for the edge.
- getLocalName() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReferenceOrBuilder
-
A user-provided name for the edge.
- getLocalNameBytes() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
-
A user-provided name for the edge.
- getLocalNameBytes() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
-
A user-provided name for the edge.
- getLocalNameBytes() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReferenceOrBuilder
-
A user-provided name for the edge.
- getLogDevicePlacement() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Whether device placements should be logged.
- getLogDevicePlacement() - Method in class org.tensorflow.framework.ConfigProto
-
Whether device placements should be logged.
- getLogDevicePlacement() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
Whether device placements should be logged.
- getLong(long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getLong(long...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getLong(long...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getLong(long) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getLong(long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- getLong(long...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- getLong(INDArray, long...) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getLongHash(byte[]) - Static method in class org.nd4j.linalg.util.HashUtil
-
This method returns long hash for a given bytes array
- getLongHash(String) - Static method in class org.nd4j.linalg.util.HashUtil
-
This method returns long hash for a given string
- getLoopBodyExecution() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.IfDerivative
-
- getLoopBodyExecution() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.WhileDerivative
-
- getLoopEnterNames(int) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
List of names for enter tensors.
- getLoopEnterNames(int) - Method in class org.tensorflow.framework.WhileContextDef
-
List of names for enter tensors.
- getLoopEnterNames(int) - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder
-
List of names for enter tensors.
- getLoopEnterNamesBytes(int) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
List of names for enter tensors.
- getLoopEnterNamesBytes(int) - Method in class org.tensorflow.framework.WhileContextDef
-
List of names for enter tensors.
- getLoopEnterNamesBytes(int) - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder
-
List of names for enter tensors.
- getLoopEnterNamesCount() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
List of names for enter tensors.
- getLoopEnterNamesCount() - Method in class org.tensorflow.framework.WhileContextDef
-
List of names for enter tensors.
- getLoopEnterNamesCount() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder
-
List of names for enter tensors.
- getLoopEnterNamesList() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
List of names for enter tensors.
- getLoopEnterNamesList() - Method in class org.tensorflow.framework.WhileContextDef
-
List of names for enter tensors.
- getLoopEnterNamesList() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder
-
List of names for enter tensors.
- getLoopExitNames(int) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
List of names for exit tensors.
- getLoopExitNames(int) - Method in class org.tensorflow.framework.WhileContextDef
-
List of names for exit tensors.
- getLoopExitNames(int) - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder
-
List of names for exit tensors.
- getLoopExitNamesBytes(int) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
List of names for exit tensors.
- getLoopExitNamesBytes(int) - Method in class org.tensorflow.framework.WhileContextDef
-
List of names for exit tensors.
- getLoopExitNamesBytes(int) - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder
-
List of names for exit tensors.
- getLoopExitNamesCount() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
List of names for exit tensors.
- getLoopExitNamesCount() - Method in class org.tensorflow.framework.WhileContextDef
-
List of names for exit tensors.
- getLoopExitNamesCount() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder
-
List of names for exit tensors.
- getLoopExitNamesList() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
List of names for exit tensors.
- getLoopExitNamesList() - Method in class org.tensorflow.framework.WhileContextDef
-
List of names for exit tensors.
- getLoopExitNamesList() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder
-
List of names for exit tensors.
- getLoopOptimization() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Loop optimizations (default is ON).
- getLoopOptimization() - Method in class org.tensorflow.framework.RewriterConfig
-
Loop optimizations (default is ON).
- getLoopOptimization() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
Loop optimizations (default is ON).
- getLoopOptimizationValue() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Loop optimizations (default is ON).
- getLoopOptimizationValue() - Method in class org.tensorflow.framework.RewriterConfig
-
Loop optimizations (default is ON).
- getLoopOptimizationValue() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
Loop optimizations (default is ON).
- getLossVariables() - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Get the names of variables (if any) that have been marked as loss variables to be minimized.
Variables can be marked as loss variables in a few different ways:
(a) Losses are automatically added when creating loss functions via
SameDiff.sd()
(b) Via
SameDiff.setLossVariables(String...)
, @link #addLossVariable(String)} or
SDVariable.markAsLoss()
(c) Via
TrainingConfig#setLossVariables(List)
- getMagic() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
All OperatorSetProtos start with a distingushed byte sequence to disambiguate
protobuf files containing OperatorSets from other content.
- getMagic() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
All OperatorSetProtos start with a distingushed byte sequence to disambiguate
protobuf files containing OperatorSets from other content.
- getMagic() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
All OperatorSetProtos start with a distingushed byte sequence to disambiguate
protobuf files containing OperatorSets from other content.
- getMagicBytes() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
All OperatorSetProtos start with a distingushed byte sequence to disambiguate
protobuf files containing OperatorSets from other content.
- getMagicBytes() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
All OperatorSetProtos start with a distingushed byte sequence to disambiguate
protobuf files containing OperatorSets from other content.
- getMagicBytes() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
All OperatorSetProtos start with a distingushed byte sequence to disambiguate
protobuf files containing OperatorSets from other content.
- getMappedOp(String) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
Get the mapped op name
for a given op
relative to the type of node being mapped.
- getMappedOp(String) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getMappedOp(String) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getMapType() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a map.
- getMapType() - Method in class onnx.OnnxMlProto3.TypeProto
-
The type of a map.
- getMapType() - Method in interface onnx.OnnxMlProto3.TypeProtoOrBuilder
-
The type of a map.
- getMapTypeBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a map.
- getMapTypeOrBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a map.
- getMapTypeOrBuilder() - Method in class onnx.OnnxMlProto3.TypeProto
-
The type of a map.
- getMapTypeOrBuilder() - Method in interface onnx.OnnxMlProto3.TypeProtoOrBuilder
-
The type of a map.
- getMatrixMultiplyShape(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the output shape of a matrix multiply
- getMatrixMultiplyShape(long[], long[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getMax(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler
-
- getMax() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- getMax() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double max = 2;
- getMax() - Method in class org.tensorflow.framework.HistogramProto
-
double max = 2;
- getMax() - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder
-
double max = 2;
- getMaxByteSize(int) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
-
repeated int32 max_byte_size = 2;
- getMaxByteSize(int) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo
-
repeated int32 max_byte_size = 2;
- getMaxByteSize(int) - Method in interface org.tensorflow.framework.GraphTransferNodeOutputInfoOrBuilder
-
repeated int32 max_byte_size = 2;
- getMaxByteSizeCount() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
-
repeated int32 max_byte_size = 2;
- getMaxByteSizeCount() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo
-
repeated int32 max_byte_size = 2;
- getMaxByteSizeCount() - Method in interface org.tensorflow.framework.GraphTransferNodeOutputInfoOrBuilder
-
repeated int32 max_byte_size = 2;
- getMaxByteSizeList() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
-
repeated int32 max_byte_size = 2;
- getMaxByteSizeList() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo
-
repeated int32 max_byte_size = 2;
- getMaxByteSizeList() - Method in interface org.tensorflow.framework.GraphTransferNodeOutputInfoOrBuilder
-
repeated int32 max_byte_size = 2;
- getMaxCycleAllocations() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method returns amount of memory consumed by largest successful cycle, in bytes
- getMaxCycleAllocations() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns number of bytes of biggest cycle
- getMaxFoldedConstantInBytes() - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
Constant folding optimization replaces tensors whose values can be
predetermined, with constant nodes.
- getMaxFoldedConstantInBytes() - Method in class org.tensorflow.framework.OptimizerOptions
-
Constant folding optimization replaces tensors whose values can be
predetermined, with constant nodes.
- getMaxFoldedConstantInBytes() - Method in interface org.tensorflow.framework.OptimizerOptionsOrBuilder
-
Constant folding optimization replaces tensors whose values can be
predetermined, with constant nodes.
- getMaximum() - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet
-
- getMaximum(String) - Method in class org.nd4j.linalg.profiler.data.StringAggregator
-
- getMaximumIterationsName() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Optional name of the maximum_iterations tensor.
- getMaximumIterationsName() - Method in class org.tensorflow.framework.WhileContextDef
-
Optional name of the maximum_iterations tensor.
- getMaximumIterationsName() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder
-
Optional name of the maximum_iterations tensor.
- getMaximumIterationsNameBytes() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Optional name of the maximum_iterations tensor.
- getMaximumIterationsNameBytes() - Method in class org.tensorflow.framework.WhileContextDef
-
Optional name of the maximum_iterations tensor.
- getMaximumIterationsNameBytes() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder
-
Optional name of the maximum_iterations tensor.
- getMaxShape(INDArray...) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Return the shape of the largest length array
based on the input
- getMaxThreads() - Method in interface org.nd4j.linalg.api.blas.Blas
-
- getMaxToKeep() - Method in class org.tensorflow.util.SaverDef.Builder
-
Maximum number of checkpoints to keep.
- getMaxToKeep() - Method in class org.tensorflow.util.SaverDef
-
Maximum number of checkpoints to keep.
- getMaxToKeep() - Method in interface org.tensorflow.util.SaverDefOrBuilder
-
Maximum number of checkpoints to keep.
- getMaybeTypeName() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
For debug-only, the name of the type pointed to by this handle, if
available.
- getMaybeTypeName() - Method in class org.tensorflow.framework.ResourceHandleProto
-
For debug-only, the name of the type pointed to by this handle, if
available.
- getMaybeTypeName() - Method in interface org.tensorflow.framework.ResourceHandleProtoOrBuilder
-
For debug-only, the name of the type pointed to by this handle, if
available.
- getMaybeTypeNameBytes() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
For debug-only, the name of the type pointed to by this handle, if
available.
- getMaybeTypeNameBytes() - Method in class org.tensorflow.framework.ResourceHandleProto
-
For debug-only, the name of the type pointed to by this handle, if
available.
- getMaybeTypeNameBytes() - Method in interface org.tensorflow.framework.ResourceHandleProtoOrBuilder
-
For debug-only, the name of the type pointed to by this handle, if
available.
- getMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
-
Access the mean.
- getMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
-
Access the mean.
- getMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Access the mean.
- getMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
-
Access the mean.
- getMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
-
Access the mean.
- getMean() - Method in class org.nd4j.linalg.dataset.api.iterator.StandardScaler
-
Deprecated.
- getMean() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
-
- getMean() - Method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
- getMeanFor(INDArray) - Static method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor
-
- getMedian() - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet
-
- getMedian(String) - Method in class org.nd4j.linalg.profiler.data.StringAggregator
-
- getMemory(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemory(int) - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemory(int) - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryBuilderList() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryCount() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryCount() - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryCount() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryFootprint() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
This method returns memory used by this DataSet
- getMemoryFootprint() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
This method returns memory amount occupied by this MultiDataSet.
- getMemoryFootprint() - Method in class org.nd4j.linalg.dataset.DataSet
-
This method returns memory used by this DataSet
- getMemoryFootprint() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
This method returns memory used by this DataSet
- getMemoryLimit() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
Memory capacity of device in bytes.
- getMemoryLimit() - Method in class org.tensorflow.framework.DeviceAttributes
-
Memory capacity of device in bytes.
- getMemoryLimit() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder
-
Memory capacity of device in bytes.
- getMemoryLimitMb(int) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
-
Per "virtual" device memory limit, in MB.
- getMemoryLimitMb(int) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
-
Per "virtual" device memory limit, in MB.
- getMemoryLimitMb(int) - Method in interface org.tensorflow.framework.GPUOptions.Experimental.VirtualDevicesOrBuilder
-
Per "virtual" device memory limit, in MB.
- getMemoryLimitMbCount() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
-
Per "virtual" device memory limit, in MB.
- getMemoryLimitMbCount() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
-
Per "virtual" device memory limit, in MB.
- getMemoryLimitMbCount() - Method in interface org.tensorflow.framework.GPUOptions.Experimental.VirtualDevicesOrBuilder
-
Per "virtual" device memory limit, in MB.
- getMemoryLimitMbList() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
-
Per "virtual" device memory limit, in MB.
- getMemoryLimitMbList() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
-
Per "virtual" device memory limit, in MB.
- getMemoryLimitMbList() - Method in interface org.tensorflow.framework.GPUOptions.Experimental.VirtualDevicesOrBuilder
-
Per "virtual" device memory limit, in MB.
- getMemoryList() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryList() - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryList() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryManager() - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method returns backend-specific MemoryManager implementation, for low-level memory management
- getMemoryOptimization() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Configures memory optimization passes through the meta-optimizer.
- getMemoryOptimization() - Method in class org.tensorflow.framework.RewriterConfig
-
Configures memory optimization passes through the meta-optimizer.
- getMemoryOptimization() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
Configures memory optimization passes through the meta-optimizer.
- getMemoryOptimizationValue() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Configures memory optimization passes through the meta-optimizer.
- getMemoryOptimizationValue() - Method in class org.tensorflow.framework.RewriterConfig
-
Configures memory optimization passes through the meta-optimizer.
- getMemoryOptimizationValue() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
Configures memory optimization passes through the meta-optimizer.
- getMemoryOptimizerTargetNodeNameScope() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
A node name scope for node names which are valid outputs of recompuations.
- getMemoryOptimizerTargetNodeNameScope() - Method in class org.tensorflow.framework.RewriterConfig
-
A node name scope for node names which are valid outputs of recompuations.
- getMemoryOptimizerTargetNodeNameScope() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
A node name scope for node names which are valid outputs of recompuations.
- getMemoryOptimizerTargetNodeNameScopeBytes() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
A node name scope for node names which are valid outputs of recompuations.
- getMemoryOptimizerTargetNodeNameScopeBytes() - Method in class org.tensorflow.framework.RewriterConfig
-
A node name scope for node names which are valid outputs of recompuations.
- getMemoryOptimizerTargetNodeNameScopeBytes() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
A node name scope for node names which are valid outputs of recompuations.
- getMemoryOrBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryOrBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryOrBuilder(int) - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryOrBuilderList() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryOrBuilderList() - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryOrBuilderList() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemorySize() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Memory size in bytes
- getMemorySize() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties
-
Memory size in bytes
- getMemorySize() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Memory size in bytes
- getMemoryStats() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
.tensorflow.MemoryStats memory_stats = 12;
- getMemoryStats() - Method in class org.tensorflow.framework.NodeExecStats
-
.tensorflow.MemoryStats memory_stats = 12;
- getMemoryStats() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
.tensorflow.MemoryStats memory_stats = 12;
- getMemoryStatsBuilder() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
.tensorflow.MemoryStats memory_stats = 12;
- getMemoryStatsOrBuilder() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
.tensorflow.MemoryStats memory_stats = 12;
- getMemoryStatsOrBuilder() - Method in class org.tensorflow.framework.NodeExecStats
-
.tensorflow.MemoryStats memory_stats = 12;
- getMemoryStatsOrBuilder() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
.tensorflow.MemoryStats memory_stats = 12;
- getMemoryTime() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Analytical estimate of the memory access cost of this node, in
microseconds.
- getMemoryTime() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
Analytical estimate of the memory access cost of this node, in
microseconds.
- getMemoryTime() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
Analytical estimate of the memory access cost of this node, in
microseconds.
- getMetadata() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
-
Returned metadata if requested in the options.
- getMetadata() - Method in class org.tensorflow.distruntime.RunCallableResponse
-
Returned metadata if requested in the options.
- getMetadata() - Method in interface org.tensorflow.distruntime.RunCallableResponseOrBuilder
-
Returned metadata if requested in the options.
- getMetadata() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
Returned metadata if requested in the options.
- getMetadata() - Method in class org.tensorflow.distruntime.RunStepResponse
-
Returned metadata if requested in the options.
- getMetadata() - Method in interface org.tensorflow.distruntime.RunStepResponseOrBuilder
-
Returned metadata if requested in the options.
- getMetadata() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
Contains metadata on the summary value such as which plugins may use it.
- getMetadata() - Method in class org.tensorflow.framework.Summary.Value
-
Contains metadata on the summary value such as which plugins may use it.
- getMetadata() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
Contains metadata on the summary value such as which plugins may use it.
- getMetadata() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Portions of the object that are not Tensors.
- getMetadata() - Method in class org.tensorflow.framework.VariantTensorDataProto
-
Portions of the object that are not Tensors.
- getMetadata() - Method in interface org.tensorflow.framework.VariantTensorDataProtoOrBuilder
-
Portions of the object that are not Tensors.
- getMetadataBuilder() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
-
Returned metadata if requested in the options.
- getMetadataBuilder() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
Returned metadata if requested in the options.
- getMetadataBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
Contains metadata on the summary value such as which plugins may use it.
- getMetadataOrBuilder() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
-
Returned metadata if requested in the options.
- getMetadataOrBuilder() - Method in class org.tensorflow.distruntime.RunCallableResponse
-
Returned metadata if requested in the options.
- getMetadataOrBuilder() - Method in interface org.tensorflow.distruntime.RunCallableResponseOrBuilder
-
Returned metadata if requested in the options.
- getMetadataOrBuilder() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
Returned metadata if requested in the options.
- getMetadataOrBuilder() - Method in class org.tensorflow.distruntime.RunStepResponse
-
Returned metadata if requested in the options.
- getMetadataOrBuilder() - Method in interface org.tensorflow.distruntime.RunStepResponseOrBuilder
-
Returned metadata if requested in the options.
- getMetadataOrBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
Contains metadata on the summary value such as which plugins may use it.
- getMetadataOrBuilder() - Method in class org.tensorflow.framework.Summary.Value
-
Contains metadata on the summary value such as which plugins may use it.
- getMetadataOrBuilder() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
Contains metadata on the summary value such as which plugins may use it.
- getMetadataProps(int) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- getMetadataProps(int) - Method in class onnx.OnnxMlProto3.ModelProto
-
Named metadata values; keys should be distinct.
- getMetadataProps(int) - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
Named metadata values; keys should be distinct.
- getMetadataProps(int) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- getMetadataProps(int) - Method in class onnx.OnnxProto3.ModelProto
-
Named metadata values; keys should be distinct.
- getMetadataProps(int) - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
Named metadata values; keys should be distinct.
- getMetadataPropsBuilder(int) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- getMetadataPropsBuilder(int) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- getMetadataPropsBuilderList() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- getMetadataPropsBuilderList() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- getMetadataPropsCount() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- getMetadataPropsCount() - Method in class onnx.OnnxMlProto3.ModelProto
-
Named metadata values; keys should be distinct.
- getMetadataPropsCount() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
Named metadata values; keys should be distinct.
- getMetadataPropsCount() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- getMetadataPropsCount() - Method in class onnx.OnnxProto3.ModelProto
-
Named metadata values; keys should be distinct.
- getMetadataPropsCount() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
Named metadata values; keys should be distinct.
- getMetadataPropsList() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- getMetadataPropsList() - Method in class onnx.OnnxMlProto3.ModelProto
-
Named metadata values; keys should be distinct.
- getMetadataPropsList() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
Named metadata values; keys should be distinct.
- getMetadataPropsList() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- getMetadataPropsList() - Method in class onnx.OnnxProto3.ModelProto
-
Named metadata values; keys should be distinct.
- getMetadataPropsList() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
Named metadata values; keys should be distinct.
- getMetadataPropsOrBuilder(int) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- getMetadataPropsOrBuilder(int) - Method in class onnx.OnnxMlProto3.ModelProto
-
Named metadata values; keys should be distinct.
- getMetadataPropsOrBuilder(int) - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
Named metadata values; keys should be distinct.
- getMetadataPropsOrBuilder(int) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- getMetadataPropsOrBuilder(int) - Method in class onnx.OnnxProto3.ModelProto
-
Named metadata values; keys should be distinct.
- getMetadataPropsOrBuilder(int) - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
Named metadata values; keys should be distinct.
- getMetadataPropsOrBuilderList() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- getMetadataPropsOrBuilderList() - Method in class onnx.OnnxMlProto3.ModelProto
-
Named metadata values; keys should be distinct.
- getMetadataPropsOrBuilderList() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
Named metadata values; keys should be distinct.
- getMetadataPropsOrBuilderList() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- getMetadataPropsOrBuilderList() - Method in class onnx.OnnxProto3.ModelProto
-
Named metadata values; keys should be distinct.
- getMetadataPropsOrBuilderList() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
Named metadata values; keys should be distinct.
- getMetaGraphs(int) - Method in class org.tensorflow.framework.SavedModel.Builder
-
One or more MetaGraphs.
- getMetaGraphs(int) - Method in class org.tensorflow.framework.SavedModel
-
One or more MetaGraphs.
- getMetaGraphs(int) - Method in interface org.tensorflow.framework.SavedModelOrBuilder
-
One or more MetaGraphs.
- getMetaGraphsBuilder(int) - Method in class org.tensorflow.framework.SavedModel.Builder
-
One or more MetaGraphs.
- getMetaGraphsBuilderList() - Method in class org.tensorflow.framework.SavedModel.Builder
-
One or more MetaGraphs.
- getMetaGraphsCount() - Method in class org.tensorflow.framework.SavedModel.Builder
-
One or more MetaGraphs.
- getMetaGraphsCount() - Method in class org.tensorflow.framework.SavedModel
-
One or more MetaGraphs.
- getMetaGraphsCount() - Method in interface org.tensorflow.framework.SavedModelOrBuilder
-
One or more MetaGraphs.
- getMetaGraphsList() - Method in class org.tensorflow.framework.SavedModel.Builder
-
One or more MetaGraphs.
- getMetaGraphsList() - Method in class org.tensorflow.framework.SavedModel
-
One or more MetaGraphs.
- getMetaGraphsList() - Method in interface org.tensorflow.framework.SavedModelOrBuilder
-
One or more MetaGraphs.
- getMetaGraphsOrBuilder(int) - Method in class org.tensorflow.framework.SavedModel.Builder
-
One or more MetaGraphs.
- getMetaGraphsOrBuilder(int) - Method in class org.tensorflow.framework.SavedModel
-
One or more MetaGraphs.
- getMetaGraphsOrBuilder(int) - Method in interface org.tensorflow.framework.SavedModelOrBuilder
-
One or more MetaGraphs.
- getMetaGraphsOrBuilderList() - Method in class org.tensorflow.framework.SavedModel.Builder
-
One or more MetaGraphs.
- getMetaGraphsOrBuilderList() - Method in class org.tensorflow.framework.SavedModel
-
One or more MetaGraphs.
- getMetaGraphsOrBuilderList() - Method in interface org.tensorflow.framework.SavedModelOrBuilder
-
One or more MetaGraphs.
- getMetaGraphVersion() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
User specified Version string.
- getMetaGraphVersion() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
User specified Version string.
- getMetaGraphVersion() - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
User specified Version string.
- getMetaGraphVersionBytes() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
User specified Version string.
- getMetaGraphVersionBytes() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
User specified Version string.
- getMetaGraphVersionBytes() - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
User specified Version string.
- getMetaInfoDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
- getMetaInfoDef() - Method in class org.tensorflow.framework.MetaGraphDef
-
.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
- getMetaInfoDef() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder
-
.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
- getMetaInfoDefBuilder() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
- getMetaInfoDefOrBuilder() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
- getMetaInfoDefOrBuilder() - Method in class org.tensorflow.framework.MetaGraphDef
-
.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
- getMetaInfoDefOrBuilder() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder
-
.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
- getMetaOptimizerIterations() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Controls how many times we run the optimizers in meta optimizer (default
is once).
- getMetaOptimizerIterations() - Method in class org.tensorflow.framework.RewriterConfig
-
Controls how many times we run the optimizers in meta optimizer (default
is once).
- getMetaOptimizerIterations() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
Controls how many times we run the optimizers in meta optimizer (default
is once).
- getMetaOptimizerIterationsValue() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Controls how many times we run the optimizers in meta optimizer (default
is once).
- getMetaOptimizerIterationsValue() - Method in class org.tensorflow.framework.RewriterConfig
-
Controls how many times we run the optimizers in meta optimizer (default
is once).
- getMetaOptimizerIterationsValue() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
Controls how many times we run the optimizers in meta optimizer (default
is once).
- getMethodName() - Method in class org.tensorflow.framework.SignatureDef.Builder
-
Extensible method_name information enabling third-party users to mark a
SignatureDef as supporting a particular method.
- getMethodName() - Method in class org.tensorflow.framework.SignatureDef
-
Extensible method_name information enabling third-party users to mark a
SignatureDef as supporting a particular method.
- getMethodName() - Method in interface org.tensorflow.framework.SignatureDefOrBuilder
-
Extensible method_name information enabling third-party users to mark a
SignatureDef as supporting a particular method.
- getMethodNameBytes() - Method in class org.tensorflow.framework.SignatureDef.Builder
-
Extensible method_name information enabling third-party users to mark a
SignatureDef as supporting a particular method.
- getMethodNameBytes() - Method in class org.tensorflow.framework.SignatureDef
-
Extensible method_name information enabling third-party users to mark a
SignatureDef as supporting a particular method.
- getMethodNameBytes() - Method in interface org.tensorflow.framework.SignatureDefOrBuilder
-
Extensible method_name information enabling third-party users to mark a
SignatureDef as supporting a particular method.
- getMin(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler
-
- getMin() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- getMin() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double min = 1;
- getMin() - Method in class org.tensorflow.framework.HistogramProto
-
double min = 1;
- getMin() - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder
-
double min = 1;
- getMinConsumer() - Method in class org.tensorflow.framework.VersionDef.Builder
-
Any consumer below this version is not allowed to consume this data.
- getMinConsumer() - Method in class org.tensorflow.framework.VersionDef
-
Any consumer below this version is not allowed to consume this data.
- getMinConsumer() - Method in interface org.tensorflow.framework.VersionDefOrBuilder
-
Any consumer below this version is not allowed to consume this data.
- getMinimum() - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet
-
- getMinimum(String) - Method in class org.nd4j.linalg.profiler.data.StringAggregator
-
- getMinimum() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
int64 minimum = 6;
- getMinimum() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
int64 minimum = 6;
- getMinimum() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
int64 minimum = 6;
- getMixedOrderAggregator() - Method in class org.nd4j.linalg.profiler.OpProfiler
-
Dev-time method.
- getModel() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Model (Haswell, K40, ...)
- getModel() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties
-
Model (Haswell, K40, ...)
- getModel() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Model (Haswell, K40, ...)
- getModelBytes() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Model (Haswell, K40, ...)
- getModelBytes() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties
-
Model (Haswell, K40, ...)
- getModelBytes() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Model (Haswell, K40, ...)
- getModelVersion() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The version of the graph encoded.
- getModelVersion() - Method in class onnx.OnnxMlProto3.ModelProto
-
The version of the graph encoded.
- getModelVersion() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
The version of the graph encoded.
- getModelVersion() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The version of the graph encoded.
- getModelVersion() - Method in class onnx.OnnxProto3.ModelProto
-
The version of the graph encoded.
- getModelVersion() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
The version of the graph encoded.
- getMutableAttr() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
Deprecated.
- getMutableAttr() - Method in class org.tensorflow.framework.NameAttrList.Builder
-
Deprecated.
- getMutableAttr() - Method in class org.tensorflow.framework.NodeDef.Builder
-
Deprecated.
- getMutableAttrs() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
Deprecated.
- getMutableCollectionDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
Deprecated.
- getMutableDeviceCount() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Deprecated.
- getMutableEnvironment() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Deprecated.
- getMutableExternalValues() - Method in class org.tensorflow.framework.ValuesDef.Builder
-
Deprecated.
- getMutableInputs() - Method in class org.tensorflow.framework.SignatureDef.Builder
-
Deprecated.
- getMutableOutputs() - Method in class org.tensorflow.framework.SignatureDef.Builder
-
Deprecated.
- getMutableParameterMap() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
Deprecated.
- getMutableRet() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
Deprecated.
- getMutableSignatureDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
Deprecated.
- getMutableTasks() - Method in class org.tensorflow.distruntime.JobDef.Builder
-
Deprecated.
- getName() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
The name field MUST be present for this version of the IR.
- getName() - Method in class onnx.OnnxMlProto3.AttributeProto
-
The name field MUST be present for this version of the IR.
- getName() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
The name field MUST be present for this version of the IR.
- getName() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The name of the graph.
- getName() - Method in class onnx.OnnxMlProto3.GraphProto
-
The name of the graph.
- getName() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
The name of the graph.
- getName() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
An optional identifier for this node in a graph.
- getName() - Method in class onnx.OnnxMlProto3.NodeProto
-
An optional identifier for this node in a graph.
- getName() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
An optional identifier for this node in a graph.
- getName() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
Optionally, a name for the tensor.
- getName() - Method in class onnx.OnnxMlProto3.TensorProto
-
Optionally, a name for the tensor.
- getName() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
Optionally, a name for the tensor.
- getName() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- getName() - Method in class onnx.OnnxMlProto3.ValueInfoProto
-
This field MUST be present in this version of the IR.
- getName() - Method in interface onnx.OnnxMlProto3.ValueInfoProtoOrBuilder
-
This field MUST be present in this version of the IR.
- getName() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
The name field MUST be present for this version of the IR.
- getName() - Method in class onnx.OnnxProto3.AttributeProto
-
The name field MUST be present for this version of the IR.
- getName() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
The name field MUST be present for this version of the IR.
- getName() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The name of the graph.
- getName() - Method in class onnx.OnnxProto3.GraphProto
-
The name of the graph.
- getName() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
The name of the graph.
- getName() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
An optional identifier for this node in a graph.
- getName() - Method in class onnx.OnnxProto3.NodeProto
-
An optional identifier for this node in a graph.
- getName() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
An optional identifier for this node in a graph.
- getName() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
Optionally, a name for the tensor.
- getName() - Method in class onnx.OnnxProto3.TensorProto
-
Optionally, a name for the tensor.
- getName() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
Optionally, a name for the tensor.
- getName() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- getName() - Method in class onnx.OnnxProto3.ValueInfoProto
-
This field MUST be present in this version of the IR.
- getName() - Method in interface onnx.OnnxProto3.ValueInfoProtoOrBuilder
-
This field MUST be present in this version of the IR.
- getName(NODE_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
Get the name of the node
- getName(OnnxProto3.NodeProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getName(NodeDef) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getName() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
string name = 1;
- getName() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest
-
string name = 1;
- getName() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
string name = 1;
- getName() - Method in class org.tensorflow.distruntime.JobDef.Builder
-
The name of this job.
- getName() - Method in class org.tensorflow.distruntime.JobDef
-
The name of this job.
- getName() - Method in interface org.tensorflow.distruntime.JobDefOrBuilder
-
The name of this job.
- getName() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.ApiDef.Arg
-
string name = 1;
- getName() - Method in interface org.tensorflow.framework.ApiDef.ArgOrBuilder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.ApiDef.Attr
-
string name = 1;
- getName() - Method in interface org.tensorflow.framework.ApiDef.AttrOrBuilder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
Name should be either like "CamelCaseName" or
"Package.CamelCaseName".
- getName() - Method in class org.tensorflow.framework.ApiDef.Endpoint
-
Name should be either like "CamelCaseName" or
"Package.CamelCaseName".
- getName() - Method in interface org.tensorflow.framework.ApiDef.EndpointOrBuilder
-
Name should be either like "CamelCaseName" or
"Package.CamelCaseName".
- getName() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
The name of the node.
- getName() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
The name of the node.
- getName() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
The name of the node.
- getName() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
Fully specified name of the device within a cluster.
- getName() - Method in class org.tensorflow.framework.DeviceAttributes
-
Fully specified name of the device within a cluster.
- getName() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder
-
Fully specified name of the device within a cluster.
- getName() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo
-
string name = 1;
- getName() - Method in interface org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo
-
string name = 1;
- getName() - Method in interface org.tensorflow.framework.GraphTransferGraphInputNodeInfoOrBuilder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
-
string name = 1;
- getName() - Method in interface org.tensorflow.framework.GraphTransferGraphOutputNodeInfoOrBuilder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.GraphTransferNodeInfo
-
string name = 1;
- getName() - Method in interface org.tensorflow.framework.GraphTransferNodeInfoOrBuilder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
Name of an attr from the Op.
- getName() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint
-
Name of an attr from the Op.
- getName() - Method in interface org.tensorflow.framework.KernelDef.AttrConstraintOrBuilder
-
Name of an attr from the Op.
- getName() - Method in class org.tensorflow.framework.NameAttrList.Builder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.NameAttrList
-
string name = 1;
- getName() - Method in interface org.tensorflow.framework.NameAttrListOrBuilder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.NamedTensorProto.Builder
-
Name of the tensor.
- getName() - Method in class org.tensorflow.framework.NamedTensorProto
-
Name of the tensor.
- getName() - Method in interface org.tensorflow.framework.NamedTensorProtoOrBuilder
-
Name of the tensor.
- getName() - Method in class org.tensorflow.framework.NodeDef.Builder
-
The name given to this operator.
- getName() - Method in class org.tensorflow.framework.NodeDef
-
The name given to this operator.
- getName() - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
The name given to this operator.
- getName() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Name for the input/output.
- getName() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
Name for the input/output.
- getName() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
Name for the input/output.
- getName() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
A descriptive name for the argument.
- getName() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
A descriptive name for the argument.
- getName() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
A descriptive name for the argument.
- getName() - Method in class org.tensorflow.framework.OpDef.Builder
-
Op names starting with an underscore are reserved for internal use.
- getName() - Method in class org.tensorflow.framework.OpDef
-
Op names starting with an underscore are reserved for internal use.
- getName() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Op names starting with an underscore are reserved for internal use.
- getName() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Unique name of this resource.
- getName() - Method in class org.tensorflow.framework.ResourceHandleProto
-
Unique name of this resource.
- getName() - Method in interface org.tensorflow.framework.ResourceHandleProtoOrBuilder
-
Unique name of this resource.
- getName() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
-
string name = 1;
- getName() - Method in interface org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.TensorInfo.Builder
-
For dense `Tensor`s, the name of the tensor in the graph.
- getName() - Method in class org.tensorflow.framework.TensorInfo
-
For dense `Tensor`s, the name of the tensor in the graph.
- getName() - Method in interface org.tensorflow.framework.TensorInfoOrBuilder
-
For dense `Tensor`s, the name of the tensor in the graph.
- getName() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
Optional name of the tensor dimension.
- getName() - Method in class org.tensorflow.framework.TensorShapeProto.Dim
-
Optional name of the tensor dimension.
- getName() - Method in interface org.tensorflow.framework.TensorShapeProto.DimOrBuilder
-
Optional name of the tensor dimension.
- getName() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
A name for the Tensor.
- getName() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
-
A name for the Tensor.
- getName() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensorOrBuilder
-
A name for the Tensor.
- getName() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder
-
string name = 1;
- getName() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice
-
string name = 1;
- getName() - Method in interface tensorflow.DevicePropertiesProtos.NamedDeviceOrBuilder
-
string name = 1;
- getName() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
string name = 2;
- getName() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation
-
string name = 2;
- getName() - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
string name = 2;
- getNameBytes() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
The name field MUST be present for this version of the IR.
- getNameBytes() - Method in class onnx.OnnxMlProto3.AttributeProto
-
The name field MUST be present for this version of the IR.
- getNameBytes() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
The name field MUST be present for this version of the IR.
- getNameBytes() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The name of the graph.
- getNameBytes() - Method in class onnx.OnnxMlProto3.GraphProto
-
The name of the graph.
- getNameBytes() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
The name of the graph.
- getNameBytes() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
An optional identifier for this node in a graph.
- getNameBytes() - Method in class onnx.OnnxMlProto3.NodeProto
-
An optional identifier for this node in a graph.
- getNameBytes() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
An optional identifier for this node in a graph.
- getNameBytes() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
Optionally, a name for the tensor.
- getNameBytes() - Method in class onnx.OnnxMlProto3.TensorProto
-
Optionally, a name for the tensor.
- getNameBytes() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
Optionally, a name for the tensor.
- getNameBytes() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- getNameBytes() - Method in class onnx.OnnxMlProto3.ValueInfoProto
-
This field MUST be present in this version of the IR.
- getNameBytes() - Method in interface onnx.OnnxMlProto3.ValueInfoProtoOrBuilder
-
This field MUST be present in this version of the IR.
- getNameBytes() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
The name field MUST be present for this version of the IR.
- getNameBytes() - Method in class onnx.OnnxProto3.AttributeProto
-
The name field MUST be present for this version of the IR.
- getNameBytes() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
The name field MUST be present for this version of the IR.
- getNameBytes() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The name of the graph.
- getNameBytes() - Method in class onnx.OnnxProto3.GraphProto
-
The name of the graph.
- getNameBytes() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
The name of the graph.
- getNameBytes() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
An optional identifier for this node in a graph.
- getNameBytes() - Method in class onnx.OnnxProto3.NodeProto
-
An optional identifier for this node in a graph.
- getNameBytes() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
An optional identifier for this node in a graph.
- getNameBytes() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
Optionally, a name for the tensor.
- getNameBytes() - Method in class onnx.OnnxProto3.TensorProto
-
Optionally, a name for the tensor.
- getNameBytes() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
Optionally, a name for the tensor.
- getNameBytes() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- getNameBytes() - Method in class onnx.OnnxProto3.ValueInfoProto
-
This field MUST be present in this version of the IR.
- getNameBytes() - Method in interface onnx.OnnxProto3.ValueInfoProtoOrBuilder
-
This field MUST be present in this version of the IR.
- getNameBytes() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest
-
string name = 1;
- getNameBytes() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.distruntime.JobDef.Builder
-
The name of this job.
- getNameBytes() - Method in class org.tensorflow.distruntime.JobDef
-
The name of this job.
- getNameBytes() - Method in interface org.tensorflow.distruntime.JobDefOrBuilder
-
The name of this job.
- getNameBytes() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.ApiDef.Arg
-
string name = 1;
- getNameBytes() - Method in interface org.tensorflow.framework.ApiDef.ArgOrBuilder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.ApiDef.Attr
-
string name = 1;
- getNameBytes() - Method in interface org.tensorflow.framework.ApiDef.AttrOrBuilder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
Name should be either like "CamelCaseName" or
"Package.CamelCaseName".
- getNameBytes() - Method in class org.tensorflow.framework.ApiDef.Endpoint
-
Name should be either like "CamelCaseName" or
"Package.CamelCaseName".
- getNameBytes() - Method in interface org.tensorflow.framework.ApiDef.EndpointOrBuilder
-
Name should be either like "CamelCaseName" or
"Package.CamelCaseName".
- getNameBytes() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
The name of the node.
- getNameBytes() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
The name of the node.
- getNameBytes() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
The name of the node.
- getNameBytes() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
Fully specified name of the device within a cluster.
- getNameBytes() - Method in class org.tensorflow.framework.DeviceAttributes
-
Fully specified name of the device within a cluster.
- getNameBytes() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder
-
Fully specified name of the device within a cluster.
- getNameBytes() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo
-
string name = 1;
- getNameBytes() - Method in interface org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo
-
string name = 1;
- getNameBytes() - Method in interface org.tensorflow.framework.GraphTransferGraphInputNodeInfoOrBuilder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
-
string name = 1;
- getNameBytes() - Method in interface org.tensorflow.framework.GraphTransferGraphOutputNodeInfoOrBuilder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.GraphTransferNodeInfo
-
string name = 1;
- getNameBytes() - Method in interface org.tensorflow.framework.GraphTransferNodeInfoOrBuilder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
Name of an attr from the Op.
- getNameBytes() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint
-
Name of an attr from the Op.
- getNameBytes() - Method in interface org.tensorflow.framework.KernelDef.AttrConstraintOrBuilder
-
Name of an attr from the Op.
- getNameBytes() - Method in class org.tensorflow.framework.NameAttrList.Builder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.NameAttrList
-
string name = 1;
- getNameBytes() - Method in interface org.tensorflow.framework.NameAttrListOrBuilder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.NamedTensorProto.Builder
-
Name of the tensor.
- getNameBytes() - Method in class org.tensorflow.framework.NamedTensorProto
-
Name of the tensor.
- getNameBytes() - Method in interface org.tensorflow.framework.NamedTensorProtoOrBuilder
-
Name of the tensor.
- getNameBytes() - Method in class org.tensorflow.framework.NodeDef.Builder
-
The name given to this operator.
- getNameBytes() - Method in class org.tensorflow.framework.NodeDef
-
The name given to this operator.
- getNameBytes() - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
The name given to this operator.
- getNameBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Name for the input/output.
- getNameBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
Name for the input/output.
- getNameBytes() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
Name for the input/output.
- getNameBytes() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
A descriptive name for the argument.
- getNameBytes() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
A descriptive name for the argument.
- getNameBytes() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
A descriptive name for the argument.
- getNameBytes() - Method in class org.tensorflow.framework.OpDef.Builder
-
Op names starting with an underscore are reserved for internal use.
- getNameBytes() - Method in class org.tensorflow.framework.OpDef
-
Op names starting with an underscore are reserved for internal use.
- getNameBytes() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Op names starting with an underscore are reserved for internal use.
- getNameBytes() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Unique name of this resource.
- getNameBytes() - Method in class org.tensorflow.framework.ResourceHandleProto
-
Unique name of this resource.
- getNameBytes() - Method in interface org.tensorflow.framework.ResourceHandleProtoOrBuilder
-
Unique name of this resource.
- getNameBytes() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
-
string name = 1;
- getNameBytes() - Method in interface org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.TensorInfo.Builder
-
For dense `Tensor`s, the name of the tensor in the graph.
- getNameBytes() - Method in class org.tensorflow.framework.TensorInfo
-
For dense `Tensor`s, the name of the tensor in the graph.
- getNameBytes() - Method in interface org.tensorflow.framework.TensorInfoOrBuilder
-
For dense `Tensor`s, the name of the tensor in the graph.
- getNameBytes() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
Optional name of the tensor dimension.
- getNameBytes() - Method in class org.tensorflow.framework.TensorShapeProto.Dim
-
Optional name of the tensor dimension.
- getNameBytes() - Method in interface org.tensorflow.framework.TensorShapeProto.DimOrBuilder
-
Optional name of the tensor dimension.
- getNameBytes() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
A name for the Tensor.
- getNameBytes() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
-
A name for the Tensor.
- getNameBytes() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensorOrBuilder
-
A name for the Tensor.
- getNameBytes() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder
-
string name = 1;
- getNameBytes() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice
-
string name = 1;
- getNameBytes() - Method in interface tensorflow.DevicePropertiesProtos.NamedDeviceOrBuilder
-
string name = 1;
- getNameBytes() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
string name = 2;
- getNameBytes() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation
-
string name = 2;
- getNameBytes() - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
string name = 2;
- getNDArrayFactory() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getNDArrayFromTensor(String, TENSOR_TYPE, GRAPH_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
- getNDArrayFromTensor(String, OnnxProto3.TypeProto.Tensor, OnnxProto3.GraphProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getNDArrayFromTensor(String, NodeDef, GraphDef) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getNestedContexts(int) - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Contexts contained inside this context (e.g.
- getNestedContexts(int) - Method in class org.tensorflow.framework.CondContextDef
-
Contexts contained inside this context (e.g.
- getNestedContexts(int) - Method in interface org.tensorflow.framework.CondContextDefOrBuilder
-
Contexts contained inside this context (e.g.
- getNestedContexts(int) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Contexts contained inside this context (e.g.
- getNestedContexts(int) - Method in class org.tensorflow.framework.WhileContextDef
-
Contexts contained inside this context (e.g.
- getNestedContexts(int) - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder
-
Contexts contained inside this context (e.g.
- getNestedContextsBuilder(int) - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Contexts contained inside this context (e.g.
- getNestedContextsBuilder(int) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Contexts contained inside this context (e.g.
- getNestedContextsBuilderList() - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Contexts contained inside this context (e.g.
- getNestedContextsBuilderList() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Contexts contained inside this context (e.g.
- getNestedContextsCount() - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Contexts contained inside this context (e.g.
- getNestedContextsCount() - Method in class org.tensorflow.framework.CondContextDef
-
Contexts contained inside this context (e.g.
- getNestedContextsCount() - Method in interface org.tensorflow.framework.CondContextDefOrBuilder
-
Contexts contained inside this context (e.g.
- getNestedContextsCount() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Contexts contained inside this context (e.g.
- getNestedContextsCount() - Method in class org.tensorflow.framework.WhileContextDef
-
Contexts contained inside this context (e.g.
- getNestedContextsCount() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder
-
Contexts contained inside this context (e.g.
- getNestedContextsList() - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Contexts contained inside this context (e.g.
- getNestedContextsList() - Method in class org.tensorflow.framework.CondContextDef
-
Contexts contained inside this context (e.g.
- getNestedContextsList() - Method in interface org.tensorflow.framework.CondContextDefOrBuilder
-
Contexts contained inside this context (e.g.
- getNestedContextsList() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Contexts contained inside this context (e.g.
- getNestedContextsList() - Method in class org.tensorflow.framework.WhileContextDef
-
Contexts contained inside this context (e.g.
- getNestedContextsList() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder
-
Contexts contained inside this context (e.g.
- getNestedContextsOrBuilder(int) - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Contexts contained inside this context (e.g.
- getNestedContextsOrBuilder(int) - Method in class org.tensorflow.framework.CondContextDef
-
Contexts contained inside this context (e.g.
- getNestedContextsOrBuilder(int) - Method in interface org.tensorflow.framework.CondContextDefOrBuilder
-
Contexts contained inside this context (e.g.
- getNestedContextsOrBuilder(int) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Contexts contained inside this context (e.g.
- getNestedContextsOrBuilder(int) - Method in class org.tensorflow.framework.WhileContextDef
-
Contexts contained inside this context (e.g.
- getNestedContextsOrBuilder(int) - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder
-
Contexts contained inside this context (e.g.
- getNestedContextsOrBuilderList() - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Contexts contained inside this context (e.g.
- getNestedContextsOrBuilderList() - Method in class org.tensorflow.framework.CondContextDef
-
Contexts contained inside this context (e.g.
- getNestedContextsOrBuilderList() - Method in interface org.tensorflow.framework.CondContextDefOrBuilder
-
Contexts contained inside this context (e.g.
- getNestedContextsOrBuilderList() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Contexts contained inside this context (e.g.
- getNestedContextsOrBuilderList() - Method in class org.tensorflow.framework.WhileContextDef
-
Contexts contained inside this context (e.g.
- getNestedContextsOrBuilderList() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder
-
Contexts contained inside this context (e.g.
- getNewGraphBuilder() - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
Returns a graph builder for initial definition and parsing.
- getNewGraphBuilder() - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getNewGraphBuilder() - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getNewGraphVersion() - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder
-
The new version number for the extended graph, to be used in the next call
to ExtendSession.
- getNewGraphVersion() - Method in class org.tensorflow.distruntime.ExtendSessionResponse
-
The new version number for the extended graph, to be used in the next call
to ExtendSession.
- getNewGraphVersion() - Method in interface org.tensorflow.distruntime.ExtendSessionResponseOrBuilder
-
The new version number for the extended graph, to be used in the next call
to ExtendSession.
- getNewRandomInstance() - Method in class org.nd4j.linalg.factory.RandomFactory
-
This method returns new onject implementing Random interface, initialized with System.currentTimeMillis() as seed
- getNewRandomInstance(long) - Method in class org.nd4j.linalg.factory.RandomFactory
-
This method returns new onject implementing Random interface, initialized with seed value
- getNewRandomInstance(long, long) - Method in class org.nd4j.linalg.factory.RandomFactory
-
This method returns new onject implementing Random interface, initialized with seed value, with size of elements in buffer
- getNextStepId() - Method in class org.tensorflow.distruntime.StepSequence.Builder
-
int64 next_step_id = 2;
- getNextStepId() - Method in class org.tensorflow.distruntime.StepSequence
-
int64 next_step_id = 2;
- getNextStepId() - Method in interface org.tensorflow.distruntime.StepSequenceOrBuilder
-
int64 next_step_id = 2;
- getNMixtures() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
-
Returns the number of gaussians this loss function
will attempt to find.
- getNode(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The nodes in the graph.
- getNode(int) - Method in class onnx.OnnxMlProto3.GraphProto
-
The nodes in the graph.
- getNode(int) - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
The nodes in the graph.
- getNode(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The nodes in the graph.
- getNode(int) - Method in class onnx.OnnxProto3.GraphProto
-
The nodes in the graph.
- getNode(int) - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
The nodes in the graph.
- getNode(int) - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNode(int) - Method in class org.tensorflow.framework.CostGraphDef
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNode(int) - Method in interface org.tensorflow.framework.CostGraphDefOrBuilder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNode(int) - Method in class org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- getNode(int) - Method in class org.tensorflow.framework.GraphDef
-
repeated .tensorflow.NodeDef node = 1;
- getNode(int) - Method in interface org.tensorflow.framework.GraphDefOrBuilder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The nodes in the graph.
- getNodeBuilder(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The nodes in the graph.
- getNodeBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeBuilder(int) - Method in class org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The nodes in the graph.
- getNodeBuilderList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The nodes in the graph.
- getNodeBuilderList() - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeBuilderList() - Method in class org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeCount() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The nodes in the graph.
- getNodeCount() - Method in class onnx.OnnxMlProto3.GraphProto
-
The nodes in the graph.
- getNodeCount() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
The nodes in the graph.
- getNodeCount() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The nodes in the graph.
- getNodeCount() - Method in class onnx.OnnxProto3.GraphProto
-
The nodes in the graph.
- getNodeCount() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
The nodes in the graph.
- getNodeCount() - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeCount() - Method in class org.tensorflow.framework.CostGraphDef
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeCount() - Method in interface org.tensorflow.framework.CostGraphDefOrBuilder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeCount() - Method in class org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeCount() - Method in class org.tensorflow.framework.GraphDef
-
repeated .tensorflow.NodeDef node = 1;
- getNodeCount() - Method in interface org.tensorflow.framework.GraphDefOrBuilder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeDef(int) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDef(int) - Method in class org.tensorflow.framework.FunctionDef
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDef(int) - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefBuilder(int) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefBuilderList() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefCount() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefCount() - Method in class org.tensorflow.framework.FunctionDef
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefCount() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefList() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefList() - Method in class org.tensorflow.framework.FunctionDef
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefList() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefOrBuilder(int) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefOrBuilder(int) - Method in class org.tensorflow.framework.FunctionDef
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefOrBuilder(int) - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefOrBuilderList() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefOrBuilderList() - Method in class org.tensorflow.framework.FunctionDef
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefOrBuilderList() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeId() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
int32 node_id = 2;
- getNodeId() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo
-
int32 node_id = 2;
- getNodeId() - Method in interface org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder
-
int32 node_id = 2;
- getNodeId() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
int32 node_id = 2;
- getNodeId() - Method in class org.tensorflow.framework.GraphTransferNodeInfo
-
int32 node_id = 2;
- getNodeId() - Method in interface org.tensorflow.framework.GraphTransferNodeInfoOrBuilder
-
int32 node_id = 2;
- getNodeId() - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder
-
int32 node_id = 1;
- getNodeId() - Method in class org.tensorflow.framework.GraphTransferNodeInput
-
int32 node_id = 1;
- getNodeId() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
int32 node_id = 1;
- getNodeId() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo
-
int32 node_id = 1;
- getNodeId() - Method in interface org.tensorflow.framework.GraphTransferNodeInputInfoOrBuilder
-
int32 node_id = 1;
- getNodeId() - Method in interface org.tensorflow.framework.GraphTransferNodeInputOrBuilder
-
int32 node_id = 1;
- getNodeId() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
-
int32 node_id = 1;
- getNodeId() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo
-
int32 node_id = 1;
- getNodeId() - Method in interface org.tensorflow.framework.GraphTransferNodeOutputInfoOrBuilder
-
int32 node_id = 1;
- getNodeId() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
-
An index into `CheckpointableObjectGraph.nodes`, indicating the object
being referenced.
- getNodeId() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
-
An index into `CheckpointableObjectGraph.nodes`, indicating the object
being referenced.
- getNodeId() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReferenceOrBuilder
-
An index into `CheckpointableObjectGraph.nodes`, indicating the object
being referenced.
- getNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfo(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfoBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfoCount() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfoList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfoOrBuilder(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfoOrBuilderList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInput(int) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInput(int) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInput(int) - Method in interface org.tensorflow.framework.GraphTransferNodeInputInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInputBuilder(int) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInputBuilderList() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInputCount() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInputCount() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInputCount() - Method in interface org.tensorflow.framework.GraphTransferNodeInputInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInputInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfo(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfoBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfoCount() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfoList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfoOrBuilder(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfoOrBuilderList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputList() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInputList() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInputList() - Method in interface org.tensorflow.framework.GraphTransferNodeInputInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInputOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInputOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInputOrBuilder(int) - Method in interface org.tensorflow.framework.GraphTransferNodeInputInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInputOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInputOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInputOrBuilderList() - Method in interface org.tensorflow.framework.GraphTransferNodeInputInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The nodes in the graph.
- getNodeList() - Method in class onnx.OnnxMlProto3.GraphProto
-
The nodes in the graph.
- getNodeList() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
The nodes in the graph.
- getNodeList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The nodes in the graph.
- getNodeList() - Method in class onnx.OnnxProto3.GraphProto
-
The nodes in the graph.
- getNodeList() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
The nodes in the graph.
- getNodeList(GRAPH_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
- getNodeList(OnnxProto3.GraphProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getNodeList(GraphDef) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getNodeList() - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.NodeList node_list = 1;
- getNodeList() - Method in class org.tensorflow.framework.CollectionDef
-
.tensorflow.CollectionDef.NodeList node_list = 1;
- getNodeList() - Method in interface org.tensorflow.framework.CollectionDefOrBuilder
-
.tensorflow.CollectionDef.NodeList node_list = 1;
- getNodeList() - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeList() - Method in class org.tensorflow.framework.CostGraphDef
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeList() - Method in interface org.tensorflow.framework.CostGraphDefOrBuilder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeList() - Method in class org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeList() - Method in class org.tensorflow.framework.GraphDef
-
repeated .tensorflow.NodeDef node = 1;
- getNodeList() - Method in interface org.tensorflow.framework.GraphDefOrBuilder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeListBuilder() - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.NodeList node_list = 1;
- getNodeListOrBuilder() - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.NodeList node_list = 1;
- getNodeListOrBuilder() - Method in class org.tensorflow.framework.CollectionDef
-
.tensorflow.CollectionDef.NodeList node_list = 1;
- getNodeListOrBuilder() - Method in interface org.tensorflow.framework.CollectionDefOrBuilder
-
.tensorflow.CollectionDef.NodeList node_list = 1;
- getNodeName(String) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
Map a tensorflow node name
to the samediff equivalent
for import
- getNodeName() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
Name of the node to watch.
- getNodeName() - Method in class org.tensorflow.framework.DebugTensorWatch
-
Name of the node to watch.
- getNodeName() - Method in interface org.tensorflow.framework.DebugTensorWatchOrBuilder
-
Name of the node to watch.
- getNodeName() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
TODO(tucker): Use some more compact form of node identity than
the full string name.
- getNodeName() - Method in class org.tensorflow.framework.NodeExecStats
-
TODO(tucker): Use some more compact form of node identity than
the full string name.
- getNodeName() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
TODO(tucker): Use some more compact form of node identity than
the full string name.
- getNodeName() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
This field is deprecated and will not be set.
- getNodeName() - Method in class org.tensorflow.framework.Summary.Value
-
This field is deprecated and will not be set.
- getNodeName() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
This field is deprecated and will not be set.
- getNodeNameBytes() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
Name of the node to watch.
- getNodeNameBytes() - Method in class org.tensorflow.framework.DebugTensorWatch
-
Name of the node to watch.
- getNodeNameBytes() - Method in interface org.tensorflow.framework.DebugTensorWatchOrBuilder
-
Name of the node to watch.
- getNodeNameBytes() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
TODO(tucker): Use some more compact form of node identity than
the full string name.
- getNodeNameBytes() - Method in class org.tensorflow.framework.NodeExecStats
-
TODO(tucker): Use some more compact form of node identity than
the full string name.
- getNodeNameBytes() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
TODO(tucker): Use some more compact form of node identity than
the full string name.
- getNodeNameBytes() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
This field is deprecated and will not be set.
- getNodeNameBytes() - Method in class org.tensorflow.framework.Summary.Value
-
This field is deprecated and will not be set.
- getNodeNameBytes() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
This field is deprecated and will not be set.
- getNodeOrBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The nodes in the graph.
- getNodeOrBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto
-
The nodes in the graph.
- getNodeOrBuilder(int) - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
The nodes in the graph.
- getNodeOrBuilder(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The nodes in the graph.
- getNodeOrBuilder(int) - Method in class onnx.OnnxProto3.GraphProto
-
The nodes in the graph.
- getNodeOrBuilder(int) - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
The nodes in the graph.
- getNodeOrBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeOrBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeOrBuilder(int) - Method in interface org.tensorflow.framework.CostGraphDefOrBuilder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeOrBuilder(int) - Method in class org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeOrBuilder(int) - Method in class org.tensorflow.framework.GraphDef
-
repeated .tensorflow.NodeDef node = 1;
- getNodeOrBuilder(int) - Method in interface org.tensorflow.framework.GraphDefOrBuilder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeOrBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The nodes in the graph.
- getNodeOrBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto
-
The nodes in the graph.
- getNodeOrBuilderList() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
The nodes in the graph.
- getNodeOrBuilderList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The nodes in the graph.
- getNodeOrBuilderList() - Method in class onnx.OnnxProto3.GraphProto
-
The nodes in the graph.
- getNodeOrBuilderList() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
The nodes in the graph.
- getNodeOrBuilderList() - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeOrBuilderList() - Method in class org.tensorflow.framework.CostGraphDef
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeOrBuilderList() - Method in interface org.tensorflow.framework.CostGraphDefOrBuilder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeOrBuilderList() - Method in class org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeOrBuilderList() - Method in class org.tensorflow.framework.GraphDef
-
repeated .tensorflow.NodeDef node = 1;
- getNodeOrBuilderList() - Method in interface org.tensorflow.framework.GraphDefOrBuilder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeOutputInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfo(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfoBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfoCount() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfoList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfoOrBuilder(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfoOrBuilderList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodes() - Method in class org.nd4j.linalg.profiler.data.primitives.StackNode
-
- getNodes(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodes(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodes(int) - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraphOrBuilder
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodesBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodesBuilderList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodesCount() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodesCount() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodesCount() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraphOrBuilder
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodesList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodesList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodesList() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraphOrBuilder
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodesOrBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodesOrBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodesOrBuilder(int) - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraphOrBuilder
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodesOrBuilderList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodesOrBuilderList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodesOrBuilderList() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraphOrBuilder
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodeStats(int) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStats(int) - Method in class org.tensorflow.framework.DeviceStepStats
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStats(int) - Method in interface org.tensorflow.framework.DeviceStepStatsOrBuilder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsBuilder(int) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsBuilderList() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsCount() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsCount() - Method in class org.tensorflow.framework.DeviceStepStats
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsCount() - Method in interface org.tensorflow.framework.DeviceStepStatsOrBuilder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsList() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsList() - Method in class org.tensorflow.framework.DeviceStepStats
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsList() - Method in interface org.tensorflow.framework.DeviceStepStatsOrBuilder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsOrBuilder(int) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsOrBuilder(int) - Method in class org.tensorflow.framework.DeviceStepStats
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsOrBuilder(int) - Method in interface org.tensorflow.framework.DeviceStepStatsOrBuilder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsOrBuilderList() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsOrBuilderList() - Method in class org.tensorflow.framework.DeviceStepStats
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsOrBuilderList() - Method in interface org.tensorflow.framework.DeviceStepStatsOrBuilder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeWithNameFromGraph(GRAPH_TYPE, String) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
Get the node from the graph
- getNodeWithNameFromGraph(OnnxProto3.GraphProto, String) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getNodeWithNameFromGraph(GraphDef, String) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getNum() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double num = 3;
- getNum() - Method in class org.tensorflow.framework.HistogramProto
-
double num = 3;
- getNum() - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder
-
double num = 3;
- getNumaNode() - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
Optional NUMA locality of device.
- getNumaNode() - Method in class org.tensorflow.framework.DeviceLocality
-
Optional NUMA locality of device.
- getNumaNode() - Method in interface org.tensorflow.framework.DeviceLocalityOrBuilder
-
Optional NUMA locality of device.
- getNumber() - Method in enum onnx.OnnxMlProto3.AttributeProto.AttributeType
-
- getNumber() - Method in enum onnx.OnnxMlProto3.TensorProto.DataType
-
- getNumber() - Method in enum onnx.OnnxMlProto3.TensorShapeProto.Dimension.ValueCase
-
- getNumber() - Method in enum onnx.OnnxMlProto3.TypeProto.ValueCase
-
- getNumber() - Method in enum onnx.OnnxMlProto3.Version
-
- getNumber() - Method in enum onnx.OnnxOperatorsProto3.OperatorProto.OperatorStatus
-
- getNumber() - Method in enum onnx.OnnxProto3.AttributeProto.AttributeType
-
- getNumber() - Method in enum onnx.OnnxProto3.TensorProto.DataType
-
- getNumber() - Method in enum onnx.OnnxProto3.TensorShapeProto.Dimension.ValueCase
-
- getNumber() - Method in enum onnx.OnnxProto3.TypeProto.ValueCase
-
- getNumber() - Method in enum onnx.OnnxProto3.Version
-
- getNumber(long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getNumber(long...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getNumber(long) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getNumber(long...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getNumber(long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- getNumber(long...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- getNumber() - Method in enum org.tensorflow.framework.ApiDef.Visibility
-
- getNumber() - Method in enum org.tensorflow.framework.AttrValue.ValueCase
-
- getNumber() - Method in enum org.tensorflow.framework.Code
-
- getNumber() - Method in enum org.tensorflow.framework.CollectionDef.KindCase
-
- getNumber() - Method in enum org.tensorflow.framework.ControlFlowContextDef.CtxtCase
-
- getNumber() - Method in enum org.tensorflow.framework.DataType
-
- getNumber() - Method in enum org.tensorflow.framework.GraphTransferInfo.Destination
-
- getNumber() - Method in enum org.tensorflow.framework.OptimizerOptions.GlobalJitLevel
-
- getNumber() - Method in enum org.tensorflow.framework.OptimizerOptions.Level
-
- getNumber() - Method in enum org.tensorflow.framework.RewriterConfig.MemOptType
-
- getNumber() - Method in enum org.tensorflow.framework.RewriterConfig.NumIterationsType
-
- getNumber() - Method in enum org.tensorflow.framework.RewriterConfig.Toggle
-
- getNumber() - Method in enum org.tensorflow.framework.RunOptions.TraceLevel
-
- getNumber() - Method in enum org.tensorflow.framework.Summary.Value.ValueCase
-
- getNumber() - Method in enum org.tensorflow.framework.TensorInfo.EncodingCase
-
- getNumber() - Method in enum org.tensorflow.framework.TensorSliceProto.Extent.HasLengthCase
-
- getNumber() - Method in enum org.tensorflow.util.BundleHeaderProto.Endianness
-
- getNumber() - Method in enum org.tensorflow.util.SaverDef.CheckpointFormatVersion
-
- getNumber() - Method in enum tensorflow.eager.EagerServiceOuterClass.QueueItem.ItemCase
-
- getNumberAttr() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
if specified, attr must have type "int"
- getNumberAttr() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
if specified, attr must have type "int"
- getNumberAttr() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
if specified, attr must have type "int"
- getNumberAttrBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
if specified, attr must have type "int"
- getNumberAttrBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
if specified, attr must have type "int"
- getNumberAttrBytes() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
if specified, attr must have type "int"
- getNumberOfCycles(String) - Method in class org.nd4j.autodiff.samediff.flow.FlowPath
-
This method returns number of iterations of specified node.
- getNumberOfCycles() - Method in class org.nd4j.autodiff.samediff.flow.FrameState
-
This method returns number of cycles for this frame
- getNumberOfCycles() - Method in class org.nd4j.autodiff.samediff.flow.NodeState
-
- getNumberOfDevices() - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method returns number of available devices
- getNumberOfDevices() - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- getNumberOfExternalAllocations() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns number of spilled allocations, that can be purged at the end of block
- getNumberOfPinnedAllocations() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns number of pinned allocations, they can be purged after 2 steps.
- getNumberOfTrials() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
Access the number of trials for this distribution.
- getNumBytes() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Size of value expected, must agree with BufRendezvous entry.
- getNumBytes() - Method in class org.tensorflow.distruntime.RecvBufRequest
-
Size of value expected, must agree with BufRendezvous entry.
- getNumBytes() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
Size of value expected, must agree with BufRendezvous entry.
- getNumBytes() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
-
Byte length of buf_ptr field, if set.
- getNumBytes() - Method in class org.tensorflow.distruntime.RecvBufResponse
-
Byte length of buf_ptr field, if set.
- getNumBytes() - Method in interface org.tensorflow.distruntime.RecvBufResponseOrBuilder
-
Byte length of buf_ptr field, if set.
- getNumBytes() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Number of bytes in the allocation.
- getNumBytes() - Method in class org.tensorflow.framework.MemoryLogRawAllocation
-
Number of bytes in the allocation.
- getNumBytes() - Method in interface org.tensorflow.framework.MemoryLogRawAllocationOrBuilder
-
Number of bytes in the allocation.
- getNumChannels() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
Number of channels of audio.
- getNumChannels() - Method in class org.tensorflow.framework.Summary.Audio
-
Number of channels of audio.
- getNumChannels() - Method in interface org.tensorflow.framework.Summary.AudioOrBuilder
-
Number of channels of audio.
- getNumClasses() - Method in class org.nd4j.evaluation.classification.ROCMultiClass
-
- getNumCores() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Number of cores
- getNumCores() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties
-
Number of cores
- getNumCores() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Number of cores
- getNumericalMean() - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalVariance() - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumHiddenDimension() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getNumLooped() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.WhileDerivative
-
- getNumNewAxes() - Method in class org.nd4j.linalg.indexing.IndexInfo
-
- getNumOutputs() - Method in class org.nd4j.autodiff.functions.DifferentialFunction
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.BaseOp
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Enter
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Exit
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.LoopCond
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Merge
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.NextIteration
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Switch
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.image.ExtractImagePatches
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2DDerivative
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3DDerivative
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DDerivative
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3DDerivative
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2DDerivative
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.BaseLossBp
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.SparseSoftmaxCrossEntropyLossWithLogitsBp
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.CumProdBp
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.CumSumBp
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.reduce.custom.BatchMmul
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.ConcatBp
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.shape.Linspace
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.shape.MeshGrid
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.shape.ShapeN
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.shape.Split
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.shape.SplitV
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.BaseTensorOp
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.shape.Unstack
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DotProductAttention
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicPartition
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNormBp
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MultiHeadDotProductAttention
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ParallelConcat
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Svd
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.DynamicPartitionBp
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.GradientBackwardsMarker
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.IdentityN
-
- getNumOutputs() - Method in class org.nd4j.linalg.api.ops.NoOp
-
- getNumPoints() - Method in class org.nd4j.linalg.indexing.IndexInfo
-
- getNumRecordsProduced() - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
int64 num_records_produced = 3;
- getNumRecordsProduced() - Method in class org.tensorflow.framework.ReaderBaseState
-
int64 num_records_produced = 3;
- getNumRecordsProduced() - Method in interface org.tensorflow.framework.ReaderBaseStateOrBuilder
-
int64 num_records_produced = 3;
- getNumRegisters() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Number of registers per core.
- getNumRegisters() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties
-
Number of registers per core.
- getNumRegisters() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Number of registers per core.
- getNumReplicas() - Method in class org.tensorflow.framework.AutoParallelOptions.Builder
-
int32 num_replicas = 2;
- getNumReplicas() - Method in class org.tensorflow.framework.AutoParallelOptions
-
int32 num_replicas = 2;
- getNumReplicas() - Method in interface org.tensorflow.framework.AutoParallelOptionsOrBuilder
-
int32 num_replicas = 2;
- getNumRowCounter() - Method in class org.nd4j.evaluation.classification.Evaluation
-
- getNumShards() - Method in class org.tensorflow.util.BundleHeaderProto.Builder
-
Number of data files in the bundle.
- getNumShards() - Method in class org.tensorflow.util.BundleHeaderProto
-
Number of data files in the bundle.
- getNumShards() - Method in interface org.tensorflow.util.BundleHeaderProtoOrBuilder
-
Number of data files in the bundle.
- getNumTasks() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
number of distinct tasks hosting the devices
- getNumTasks() - Method in class org.tensorflow.distruntime.CompleteGroupResponse
-
number of distinct tasks hosting the devices
- getNumTasks() - Method in interface org.tensorflow.distruntime.CompleteGroupResponseOrBuilder
-
number of distinct tasks hosting the devices
- getNumThreads() - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder
-
The number of threads in the pool.
- getNumThreads() - Method in class org.tensorflow.framework.ThreadPoolOptionProto
-
The number of threads in the pool.
- getNumThreads() - Method in interface org.tensorflow.framework.ThreadPoolOptionProtoOrBuilder
-
The number of threads in the pool.
- getObsoleteOldStyleHistogram() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
bytes obsolete_old_style_histogram = 3;
- getObsoleteOldStyleHistogram() - Method in class org.tensorflow.framework.Summary.Value
-
bytes obsolete_old_style_histogram = 3;
- getObsoleteOldStyleHistogram() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
bytes obsolete_old_style_histogram = 3;
- getOccasionalGcFrequency() - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- getOccasionalGcFrequency() - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method returns
- getOffset(long, int[], int[], int...) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get an offset for retrieval
from a data buffer
based on the given
shape stride and given indices
- getOffset(IntBuffer, int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the offset of the specified indices from the shape info buffer
- getOffset(LongBuffer, int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOffset(LongBuffer, long...) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOffset(IntBuffer, long...) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOffset(DataBuffer, int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the offset of the specified indices from the shape info buffer
- getOffset(DataBuffer, long...) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOffset(int[], int...) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOffset(long[], int...) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOffset(long[], long...) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOffset(DataBuffer, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the offset of the specified [row,col] for the 2d array
- getOffset(IntBuffer, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the offset of the specified [row,col] for the 2d array
- getOffset(IntBuffer, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the offset of the specified [dim0,dim1,dim2] for the 3d array
- getOffset(DataBuffer, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the offset of the specified [dim0,dim1,dim2] for the 3d array
- getOffset(IntBuffer, int, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the offset of the specified [dim0,dim1,dim2,dim3] for the 4d array
- getOffset(DataBuffer, int, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the offset of the specified [dim0,dim1,dim2,dim3] for the 4d array
- getOffset() - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
int64 offset = 4;
- getOffset() - Method in class org.tensorflow.util.BundleEntryProto
-
int64 offset = 4;
- getOffset() - Method in interface org.tensorflow.util.BundleEntryProtoOrBuilder
-
int64 offset = 4;
- getOffsetUnsafe(DataBuffer, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOffsetUnsafe(int[], int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOffsetUnsafe(long[], long, long) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOffsetUnsafe(DataBuffer, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOffsetUnsafe(int[], int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOffsetUnsafe(DataBuffer, int, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOffsetUnsafe(int[], int, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOffsetUnsafe(long[], long, long, long, long) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOnnxOpMappingFunctions() - Static method in class org.nd4j.imports.converters.ImportClassMapping
-
- getOp(int) - Method in class org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- getOp(int) - Method in class org.tensorflow.framework.ApiDefs
-
repeated .tensorflow.ApiDef op = 1;
- getOp(int) - Method in interface org.tensorflow.framework.ApiDefsOrBuilder
-
repeated .tensorflow.ApiDef op = 1;
- getOp() - Method in class org.tensorflow.framework.KernelDef.Builder
-
Must match the name of an Op.
- getOp() - Method in class org.tensorflow.framework.KernelDef
-
Must match the name of an Op.
- getOp() - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
Must match the name of an Op.
- getOp() - Method in class org.tensorflow.framework.NodeDef.Builder
-
The operation name.
- getOp() - Method in class org.tensorflow.framework.NodeDef
-
The operation name.
- getOp() - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
The operation name.
- getOp(int) - Method in class org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- getOp(int) - Method in class org.tensorflow.framework.OpList
-
repeated .tensorflow.OpDef op = 1;
- getOp(int) - Method in interface org.tensorflow.framework.OpListOrBuilder
-
repeated .tensorflow.OpDef op = 1;
- getOpBuilder(int) - Method in class org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- getOpBuilder(int) - Method in class org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- getOpBuilderList() - Method in class org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- getOpBuilderList() - Method in class org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- getOpBytes() - Method in class org.tensorflow.framework.KernelDef.Builder
-
Must match the name of an Op.
- getOpBytes() - Method in class org.tensorflow.framework.KernelDef
-
Must match the name of an Op.
- getOpBytes() - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
Must match the name of an Op.
- getOpBytes() - Method in class org.tensorflow.framework.NodeDef.Builder
-
The operation name.
- getOpBytes() - Method in class org.tensorflow.framework.NodeDef
-
The operation name.
- getOpBytes() - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
The operation name.
- getOpClass(Op) - Method in class org.nd4j.linalg.profiler.OpProfiler
-
This method returns op class opName
- getOpClass(CustomOp) - Method in class org.nd4j.linalg.profiler.OpProfiler
-
- getOpClasses() - Static method in class org.nd4j.imports.converters.ImportClassMapping
-
- getOpCount() - Method in class org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- getOpCount() - Method in class org.tensorflow.framework.ApiDefs
-
repeated .tensorflow.ApiDef op = 1;
- getOpCount() - Method in interface org.tensorflow.framework.ApiDefsOrBuilder
-
repeated .tensorflow.ApiDef op = 1;
- getOpCount() - Method in class org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- getOpCount() - Method in class org.tensorflow.framework.OpList
-
repeated .tensorflow.OpDef op = 1;
- getOpCount() - Method in interface org.tensorflow.framework.OpListOrBuilder
-
repeated .tensorflow.OpDef op = 1;
- getOpDefByTensorflowName(String) - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder
-
Get the op definition of a given
tensorflow op.
- getOpDescriptorForOnnx(String) - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder
-
- getOpEndRelMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 op_end_rel_micros = 4;
- getOpEndRelMicros() - Method in class org.tensorflow.framework.NodeExecStats
-
int64 op_end_rel_micros = 4;
- getOpEndRelMicros() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
int64 op_end_rel_micros = 4;
- getOperation() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Name of the operation making the allocation.
- getOperation() - Method in class org.tensorflow.framework.MemoryLogRawAllocation
-
Name of the operation making the allocation.
- getOperation() - Method in interface org.tensorflow.framework.MemoryLogRawAllocationOrBuilder
-
Name of the operation making the allocation.
- getOperation() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Name of the operation making the deallocation.
- getOperation() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation
-
Name of the operation making the deallocation.
- getOperation() - Method in interface org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder
-
Name of the operation making the deallocation.
- getOperation() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
.tensorflow.eager.Operation operation = 2;
- getOperation() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem
-
.tensorflow.eager.Operation operation = 2;
- getOperation() - Method in interface tensorflow.eager.EagerServiceOuterClass.QueueItemOrBuilder
-
.tensorflow.eager.Operation operation = 2;
- getOperationBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
.tensorflow.eager.Operation operation = 2;
- getOperationBytes() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Name of the operation making the allocation.
- getOperationBytes() - Method in class org.tensorflow.framework.MemoryLogRawAllocation
-
Name of the operation making the allocation.
- getOperationBytes() - Method in interface org.tensorflow.framework.MemoryLogRawAllocationOrBuilder
-
Name of the operation making the allocation.
- getOperationBytes() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Name of the operation making the deallocation.
- getOperationBytes() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation
-
Name of the operation making the deallocation.
- getOperationBytes() - Method in interface org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder
-
Name of the operation making the deallocation.
- getOperationOrBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
.tensorflow.eager.Operation operation = 2;
- getOperationOrBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem
-
.tensorflow.eager.Operation operation = 2;
- getOperationOrBuilder() - Method in interface tensorflow.eager.EagerServiceOuterClass.QueueItemOrBuilder
-
.tensorflow.eager.Operation operation = 2;
- getOperationTimeoutInMs() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Global timeout for all blocking operations in this session.
- getOperationTimeoutInMs() - Method in class org.tensorflow.framework.ConfigProto
-
Global timeout for all blocking operations in this session.
- getOperationTimeoutInMs() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
Global timeout for all blocking operations in this session.
- getOperator(int) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The operators specified by this operator set.
- getOperator(int) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
The operators specified by this operator set.
- getOperator(int) - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
The operators specified by this operator set.
- getOperatorBuilder(int) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The operators specified by this operator set.
- getOperatorBuilderList() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The operators specified by this operator set.
- getOperatorCount() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The operators specified by this operator set.
- getOperatorCount() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
The operators specified by this operator set.
- getOperatorCount() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
The operators specified by this operator set.
- getOperatorList() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The operators specified by this operator set.
- getOperatorList() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
The operators specified by this operator set.
- getOperatorList() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
The operators specified by this operator set.
- getOperatorOrBuilder(int) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The operators specified by this operator set.
- getOperatorOrBuilder(int) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
The operators specified by this operator set.
- getOperatorOrBuilder(int) - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
The operators specified by this operator set.
- getOperatorOrBuilderList() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The operators specified by this operator set.
- getOperatorOrBuilderList() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
The operators specified by this operator set.
- getOperatorOrBuilderList() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
The operators specified by this operator set.
- getOpId() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
-
The ID of the operation that produced this tensor.
- getOpId() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
-
The ID of the operation that produced this tensor.
- getOpId() - Method in interface tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandleOrBuilder
-
The ID of the operation that produced this tensor.
- getOpId(int) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
-
Ids to wait on.
- getOpId(int) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
-
Ids to wait on.
- getOpId(int) - Method in interface tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequestOrBuilder
-
Ids to wait on.
- getOpIdCount() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
-
Ids to wait on.
- getOpIdCount() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
-
Ids to wait on.
- getOpIdCount() - Method in interface tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequestOrBuilder
-
Ids to wait on.
- getOpIdList() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
-
Ids to wait on.
- getOpIdList() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
-
Ids to wait on.
- getOpIdList() - Method in interface tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequestOrBuilder
-
Ids to wait on.
- getOpList() - Method in class org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- getOpList() - Method in class org.tensorflow.framework.ApiDefs
-
repeated .tensorflow.ApiDef op = 1;
- getOpList() - Method in interface org.tensorflow.framework.ApiDefsOrBuilder
-
repeated .tensorflow.ApiDef op = 1;
- getOpList() - Method in class org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- getOpList() - Method in class org.tensorflow.framework.OpList
-
repeated .tensorflow.OpDef op = 1;
- getOpList() - Method in interface org.tensorflow.framework.OpListOrBuilder
-
repeated .tensorflow.OpDef op = 1;
- getOpNameMapping() - Static method in class org.nd4j.imports.converters.ImportClassMapping
-
- getOpNum(String, Op.Type) - Static method in class org.nd4j.autodiff.samediff.serde.FlatBuffersMapper
-
This method return operation ID for given op name/type pair.
- getOpOrBuilder(int) - Method in class org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- getOpOrBuilder(int) - Method in class org.tensorflow.framework.ApiDefs
-
repeated .tensorflow.ApiDef op = 1;
- getOpOrBuilder(int) - Method in interface org.tensorflow.framework.ApiDefsOrBuilder
-
repeated .tensorflow.ApiDef op = 1;
- getOpOrBuilder(int) - Method in class org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- getOpOrBuilder(int) - Method in class org.tensorflow.framework.OpList
-
repeated .tensorflow.OpDef op = 1;
- getOpOrBuilder(int) - Method in interface org.tensorflow.framework.OpListOrBuilder
-
repeated .tensorflow.OpDef op = 1;
- getOpOrBuilderList() - Method in class org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- getOpOrBuilderList() - Method in class org.tensorflow.framework.ApiDefs
-
repeated .tensorflow.ApiDef op = 1;
- getOpOrBuilderList() - Method in interface org.tensorflow.framework.ApiDefsOrBuilder
-
repeated .tensorflow.ApiDef op = 1;
- getOpOrBuilderList() - Method in class org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- getOpOrBuilderList() - Method in class org.tensorflow.framework.OpList
-
repeated .tensorflow.OpDef op = 1;
- getOpOrBuilderList() - Method in interface org.tensorflow.framework.OpListOrBuilder
-
repeated .tensorflow.OpDef op = 1;
- getOpsetImport(int) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- getOpsetImport(int) - Method in class onnx.OnnxMlProto3.ModelProto
-
The OperatorSets this model relies on.
- getOpsetImport(int) - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
The OperatorSets this model relies on.
- getOpsetImport(int) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- getOpsetImport(int) - Method in class onnx.OnnxProto3.ModelProto
-
The OperatorSets this model relies on.
- getOpsetImport(int) - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
The OperatorSets this model relies on.
- getOpsetImportBuilder(int) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- getOpsetImportBuilder(int) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- getOpsetImportBuilderList() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- getOpsetImportBuilderList() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- getOpsetImportCount() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- getOpsetImportCount() - Method in class onnx.OnnxMlProto3.ModelProto
-
The OperatorSets this model relies on.
- getOpsetImportCount() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
The OperatorSets this model relies on.
- getOpsetImportCount() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- getOpsetImportCount() - Method in class onnx.OnnxProto3.ModelProto
-
The OperatorSets this model relies on.
- getOpsetImportCount() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
The OperatorSets this model relies on.
- getOpsetImportList() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- getOpsetImportList() - Method in class onnx.OnnxMlProto3.ModelProto
-
The OperatorSets this model relies on.
- getOpsetImportList() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
The OperatorSets this model relies on.
- getOpsetImportList() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- getOpsetImportList() - Method in class onnx.OnnxProto3.ModelProto
-
The OperatorSets this model relies on.
- getOpsetImportList() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
The OperatorSets this model relies on.
- getOpsetImportOrBuilder(int) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- getOpsetImportOrBuilder(int) - Method in class onnx.OnnxMlProto3.ModelProto
-
The OperatorSets this model relies on.
- getOpsetImportOrBuilder(int) - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
The OperatorSets this model relies on.
- getOpsetImportOrBuilder(int) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- getOpsetImportOrBuilder(int) - Method in class onnx.OnnxProto3.ModelProto
-
The OperatorSets this model relies on.
- getOpsetImportOrBuilder(int) - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
The OperatorSets this model relies on.
- getOpsetImportOrBuilderList() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- getOpsetImportOrBuilderList() - Method in class onnx.OnnxMlProto3.ModelProto
-
The OperatorSets this model relies on.
- getOpsetImportOrBuilderList() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
The OperatorSets this model relies on.
- getOpsetImportOrBuilderList() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- getOpsetImportOrBuilderList() - Method in class onnx.OnnxProto3.ModelProto
-
The OperatorSets this model relies on.
- getOpsetImportOrBuilderList() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
The OperatorSets this model relies on.
- getOpsetVersion() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The version of the set of operators.
- getOpsetVersion() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
The version of the set of operators.
- getOpsetVersion() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
The version of the set of operators.
- getOpStartRelMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 op_start_rel_micros = 3;
- getOpStartRelMicros() - Method in class org.tensorflow.framework.NodeExecStats
-
int64 op_start_rel_micros = 3;
- getOpStartRelMicros() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
int64 op_start_rel_micros = 3;
- getOptimizerOptions() - Method in class org.tensorflow.framework.GraphOptions.Builder
-
Options controlling how graph is optimized.
- getOptimizerOptions() - Method in class org.tensorflow.framework.GraphOptions
-
Options controlling how graph is optimized.
- getOptimizerOptions() - Method in interface org.tensorflow.framework.GraphOptionsOrBuilder
-
Options controlling how graph is optimized.
- getOptimizerOptionsBuilder() - Method in class org.tensorflow.framework.GraphOptions.Builder
-
Options controlling how graph is optimized.
- getOptimizerOptionsOrBuilder() - Method in class org.tensorflow.framework.GraphOptions.Builder
-
Options controlling how graph is optimized.
- getOptimizerOptionsOrBuilder() - Method in class org.tensorflow.framework.GraphOptions
-
Options controlling how graph is optimized.
- getOptimizerOptionsOrBuilder() - Method in interface org.tensorflow.framework.GraphOptionsOrBuilder
-
Options controlling how graph is optimized.
- getOptimizers(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
- getOptimizers(int) - Method in class org.tensorflow.framework.RewriterConfig
-
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
- getOptimizers(int) - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
- getOptimizersBytes(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
- getOptimizersBytes(int) - Method in class org.tensorflow.framework.RewriterConfig
-
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
- getOptimizersBytes(int) - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
- getOptimizersCount() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
- getOptimizersCount() - Method in class org.tensorflow.framework.RewriterConfig
-
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
- getOptimizersCount() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
- getOptimizersList() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
- getOptimizersList() - Method in class org.tensorflow.framework.RewriterConfig
-
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
- getOptimizersList() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
- getOptions() - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder
-
Options that define the behavior of the created callable.
- getOptions() - Method in class org.tensorflow.distruntime.MakeCallableRequest
-
Options that define the behavior of the created callable.
- getOptions() - Method in interface org.tensorflow.distruntime.MakeCallableRequestOrBuilder
-
Options that define the behavior of the created callable.
- getOptions() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Options for the run call.
- getOptions() - Method in class org.tensorflow.distruntime.RunStepRequest
-
Options for the run call.
- getOptions() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Options for the run call.
- getOptions() - Method in class org.tensorflow.distruntime.TracingRequest.Builder
-
.tensorflow.TraceOpts options = 1;
- getOptions() - Method in class org.tensorflow.distruntime.TracingRequest
-
.tensorflow.TraceOpts options = 1;
- getOptions() - Method in interface org.tensorflow.distruntime.TracingRequestOrBuilder
-
.tensorflow.TraceOpts options = 1;
- getOptionsBuilder() - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder
-
Options that define the behavior of the created callable.
- getOptionsBuilder() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Options for the run call.
- getOptionsBuilder() - Method in class org.tensorflow.distruntime.TracingRequest.Builder
-
.tensorflow.TraceOpts options = 1;
- getOptionsOrBuilder() - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder
-
Options that define the behavior of the created callable.
- getOptionsOrBuilder() - Method in class org.tensorflow.distruntime.MakeCallableRequest
-
Options that define the behavior of the created callable.
- getOptionsOrBuilder() - Method in interface org.tensorflow.distruntime.MakeCallableRequestOrBuilder
-
Options that define the behavior of the created callable.
- getOptionsOrBuilder() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Options for the run call.
- getOptionsOrBuilder() - Method in class org.tensorflow.distruntime.RunStepRequest
-
Options for the run call.
- getOptionsOrBuilder() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Options for the run call.
- getOptionsOrBuilder() - Method in class org.tensorflow.distruntime.TracingRequest.Builder
-
.tensorflow.TraceOpts options = 1;
- getOptionsOrBuilder() - Method in class org.tensorflow.distruntime.TracingRequest
-
.tensorflow.TraceOpts options = 1;
- getOptionsOrBuilder() - Method in interface org.tensorflow.distruntime.TracingRequestOrBuilder
-
.tensorflow.TraceOpts options = 1;
- getOptLevel() - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
Overall optimization level.
- getOptLevel() - Method in class org.tensorflow.framework.OptimizerOptions
-
Overall optimization level.
- getOptLevel() - Method in interface org.tensorflow.framework.OptimizerOptionsOrBuilder
-
Overall optimization level.
- getOptLevelValue() - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
Overall optimization level.
- getOptLevelValue() - Method in class org.tensorflow.framework.OptimizerOptions
-
Overall optimization level.
- getOptLevelValue() - Method in interface org.tensorflow.framework.OptimizerOptionsOrBuilder
-
Overall optimization level.
- getOpType() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
The symbolic identifier of the Operator to execute.
- getOpType() - Method in class onnx.OnnxMlProto3.NodeProto
-
The symbolic identifier of the Operator to execute.
- getOpType() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
The symbolic identifier of the Operator to execute.
- getOpType() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
The name of the operator within a domain.
- getOpType() - Method in class onnx.OnnxOperatorsProto3.OperatorProto
-
The name of the operator within a domain.
- getOpType() - Method in interface onnx.OnnxOperatorsProto3.OperatorProtoOrBuilder
-
The name of the operator within a domain.
- getOpType() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
The symbolic identifier of the Operator to execute.
- getOpType() - Method in class onnx.OnnxProto3.NodeProto
-
The symbolic identifier of the Operator to execute.
- getOpType() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
The symbolic identifier of the Operator to execute.
- getOpType(NODE_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
- getOpType(OnnxProto3.NodeProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getOpType(NodeDef) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.BaseBroadcastBoolOp
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.BaseBroadcastOp
-
- getOpType(Op) - Static method in class org.nd4j.linalg.api.ops.BaseOp
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.BaseReduceBoolOp
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.BaseReduceFloatOp
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.BaseReduceLongOp
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.BaseReduceSameOp
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.BaseScalarBoolOp
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.BaseScalarOp
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.BaseTransformAnyOp
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.BaseTransformBoolOp
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.BaseTransformFloatOp
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.BaseTransformSameOp
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.BaseTransformStrictOp
-
- getOpType() - Method in interface org.nd4j.linalg.api.ops.BroadcastOp
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.Entropy
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.reduce3.BaseReduce3Op
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.reduce3.JaccardDistance
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.summarystats.Variance
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.transforms.MaxOut
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.And
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Or
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Xor
-
- getOpType() - Method in interface org.nd4j.linalg.api.ops.ReduceOp
-
- getOpType() - Method in interface org.nd4j.linalg.api.ops.ScalarOp
-
- getOpType() - Method in interface org.nd4j.linalg.api.ops.TransformOp
-
- getOpTypeBytes() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
The symbolic identifier of the Operator to execute.
- getOpTypeBytes() - Method in class onnx.OnnxMlProto3.NodeProto
-
The symbolic identifier of the Operator to execute.
- getOpTypeBytes() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
The symbolic identifier of the Operator to execute.
- getOpTypeBytes() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
The name of the operator within a domain.
- getOpTypeBytes() - Method in class onnx.OnnxOperatorsProto3.OperatorProto
-
The name of the operator within a domain.
- getOpTypeBytes() - Method in interface onnx.OnnxOperatorsProto3.OperatorProtoOrBuilder
-
The name of the operator within a domain.
- getOpTypeBytes() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
The symbolic identifier of the Operator to execute.
- getOpTypeBytes() - Method in class onnx.OnnxProto3.NodeProto
-
The symbolic identifier of the Operator to execute.
- getOpTypeBytes() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
The symbolic identifier of the Operator to execute.
- getOpWithOnnxName(String) - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder
-
- getOpWithTensorflowName(String) - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder
-
Get the
- getOrder(int[], int[], int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Infer order from
- getOrder(long[], long[], long) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOrder(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Infer the order for the ndarray based on the
array's strides
- getOrderAsByte() - Static method in class org.nd4j.autodiff.samediff.serde.FlatBuffersMapper
-
This method returns current byte order for this JVM as libnd4j enum
- getOrderFromByte(byte) - Static method in class org.nd4j.autodiff.samediff.serde.FlatBuffersMapper
-
This method just converts enums
- getOriginalShapeForPlaceHolder(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Deprecated.
- getOriginalVariableNodeId() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
-
An index into `CheckpointableObjectGraph.nodes`, indicating the
variable object this slot was created for.
- getOriginalVariableNodeId() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
-
An index into `CheckpointableObjectGraph.nodes`, indicating the
variable object this slot was created for.
- getOriginalVariableNodeId() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReferenceOrBuilder
-
An index into `CheckpointableObjectGraph.nodes`, indicating the
variable object this slot was created for.
- getOutArg(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArg(int) - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArg(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgBuilderList() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgCount() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgCount() - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgCount() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgList() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgList() - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgList() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgOrBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgOrBuilder(int) - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgOrBuilder(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgOrBuilderList() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgOrBuilderList() - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgOrBuilderList() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutput(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutput(int) - Method in class onnx.OnnxMlProto3.GraphProto
-
repeated .onnx.ValueInfoProto output = 12;
- getOutput(int) - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutput(int) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- getOutput(int) - Method in class onnx.OnnxMlProto3.NodeProto
-
namespace Value
- getOutput(int) - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
namespace Value
- getOutput(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutput(int) - Method in class onnx.OnnxProto3.GraphProto
-
repeated .onnx.ValueInfoProto output = 12;
- getOutput(int) - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutput(int) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- getOutput(int) - Method in class onnx.OnnxProto3.NodeProto
-
namespace Value
- getOutput(int) - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
namespace Value
- getOutput(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutput(int) - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.NodeOutput output = 7;
- getOutput(int) - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputArg(int) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- getOutputArg(int) - Method in class org.tensorflow.framework.OpDef
-
Description of the output(s).
- getOutputArg(int) - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Description of the output(s).
- getOutputArgBuilder(int) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- getOutputArgBuilderList() - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- getOutputArgCount() - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- getOutputArgCount() - Method in class org.tensorflow.framework.OpDef
-
Description of the output(s).
- getOutputArgCount() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Description of the output(s).
- getOutputArgList() - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- getOutputArgList() - Method in class org.tensorflow.framework.OpDef
-
Description of the output(s).
- getOutputArgList() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Description of the output(s).
- getOutputArgOrBuilder(int) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- getOutputArgOrBuilder(int) - Method in class org.tensorflow.framework.OpDef
-
Description of the output(s).
- getOutputArgOrBuilder(int) - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Description of the output(s).
- getOutputArgOrBuilderList() - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- getOutputArgOrBuilderList() - Method in class org.tensorflow.framework.OpDef
-
Description of the output(s).
- getOutputArgOrBuilderList() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Description of the output(s).
- getOutputArgument(int) - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
-
- getOutputArgument(int) - Method in interface org.nd4j.linalg.api.ops.CustomOp
-
- getOutputArgument(int) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
-
- getOutputArgument(int) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
-
- getOutputArgument(int) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
-
- getOutputArrays() - Method in class org.nd4j.linalg.api.ops.BaseOpContext
-
- getOutputArrays() - Method in interface org.nd4j.linalg.api.ops.OpContext
-
This method returns List of output arrays defined within this context
- getOutputBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputBuilder(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputBuilderList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputBuilderList() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputBytes(int) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- getOutputBytes(int) - Method in class onnx.OnnxMlProto3.NodeProto
-
namespace Value
- getOutputBytes(int) - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
namespace Value
- getOutputBytes(int) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- getOutputBytes(int) - Method in class onnx.OnnxProto3.NodeProto
-
namespace Value
- getOutputBytes(int) - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
namespace Value
- getOutputCount() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputCount() - Method in class onnx.OnnxMlProto3.GraphProto
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputCount() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputCount() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- getOutputCount() - Method in class onnx.OnnxMlProto3.NodeProto
-
namespace Value
- getOutputCount() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
namespace Value
- getOutputCount() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputCount() - Method in class onnx.OnnxProto3.GraphProto
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputCount() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputCount() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- getOutputCount() - Method in class onnx.OnnxProto3.NodeProto
-
namespace Value
- getOutputCount() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
namespace Value
- getOutputCount() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
int32 output_count = 7;
- getOutputCount() - Method in class org.tensorflow.framework.GraphTransferNodeInfo
-
int32 output_count = 7;
- getOutputCount() - Method in interface org.tensorflow.framework.GraphTransferNodeInfoOrBuilder
-
int32 output_count = 7;
- getOutputCount() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputCount() - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputCount() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputInfo(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfo(int) - Method in class org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfo(int) - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoBuilderList() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoCount() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoCount() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoCount() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoList() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoList() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoList() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoOrBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoOrBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoOrBuilder(int) - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoOrBuilderList() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoOrBuilderList() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoOrBuilderList() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputList() - Method in class onnx.OnnxMlProto3.GraphProto
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputList() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputList() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- getOutputList() - Method in class onnx.OnnxMlProto3.NodeProto
-
namespace Value
- getOutputList() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
namespace Value
- getOutputList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputList() - Method in class onnx.OnnxProto3.GraphProto
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputList() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputList() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- getOutputList() - Method in class onnx.OnnxProto3.NodeProto
-
namespace Value
- getOutputList() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
namespace Value
- getOutputList() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputList() - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputList() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputNum() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
-
The index into the outputs of the operation that produced this tensor.
- getOutputNum() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
-
The index into the outputs of the operation that produced this tensor.
- getOutputNum() - Method in interface tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandleOrBuilder
-
The index into the outputs of the operation that produced this tensor.
- getOutputOrBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputOrBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputOrBuilder(int) - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputOrBuilder(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputOrBuilder(int) - Method in class onnx.OnnxProto3.GraphProto
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputOrBuilder(int) - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputOrBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputOrBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputOrBuilder(int) - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputOrBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputOrBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputOrBuilderList() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputOrBuilderList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputOrBuilderList() - Method in class onnx.OnnxProto3.GraphProto
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputOrBuilderList() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputOrBuilderList() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputOrBuilderList() - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputOrBuilderList() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputPartitionGraphs() - Method in class org.tensorflow.framework.RunOptions.Builder
-
Whether the partition graph(s) executed by the executor(s) should be
outputted via RunMetadata.
- getOutputPartitionGraphs() - Method in class org.tensorflow.framework.RunOptions
-
Whether the partition graph(s) executed by the executor(s) should be
outputted via RunMetadata.
- getOutputPartitionGraphs() - Method in interface org.tensorflow.framework.RunOptionsOrBuilder
-
Whether the partition graph(s) executed by the executor(s) should be
outputted via RunMetadata.
- getOutputPort() - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder
-
int32 output_port = 2;
- getOutputPort() - Method in class org.tensorflow.framework.GraphTransferNodeInput
-
int32 output_port = 2;
- getOutputPort() - Method in interface org.tensorflow.framework.GraphTransferNodeInputOrBuilder
-
int32 output_port = 2;
- getOutputs(O, AbstractSession.FrameIter, Set<AbstractSession.VarId>, Set<AbstractSession.VarId>, Set<String>) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession
-
Execute the op - calculate INDArrays, or shape info, etc
- getOutputs(DataTypesSession.DataTypeCalc, AbstractSession.FrameIter, Set<AbstractSession.VarId>, Set<AbstractSession.VarId>, Set<String>) - Method in class org.nd4j.autodiff.samediff.internal.DataTypesSession
-
- getOutputs(DifferentialFunction, AbstractSession.FrameIter, Set<AbstractSession.VarId>, Set<AbstractSession.VarId>, Set<String>) - Method in class org.nd4j.autodiff.samediff.internal.InferenceSession
-
- getOutputs() - Method in class org.tensorflow.framework.SignatureDef.Builder
-
Deprecated.
- getOutputs() - Method in class org.tensorflow.framework.SignatureDef
-
Deprecated.
- getOutputs() - Method in interface org.tensorflow.framework.SignatureDefOrBuilder
-
Deprecated.
- getOutputsCount() - Method in class org.tensorflow.framework.SignatureDef.Builder
-
- getOutputsCount() - Method in class org.tensorflow.framework.SignatureDef
-
- getOutputsCount() - Method in interface org.tensorflow.framework.SignatureDefOrBuilder
-
Named output parameters.
- getOutputsForFunction(DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Returns the name(s) of the outputs for the given function
- getOutputSlot() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
Output slot to watch.
- getOutputSlot() - Method in class org.tensorflow.framework.DebugTensorWatch
-
Output slot to watch.
- getOutputSlot() - Method in interface org.tensorflow.framework.DebugTensorWatchOrBuilder
-
Output slot to watch.
- getOutputsMap() - Method in class org.tensorflow.framework.SignatureDef.Builder
-
Named output parameters.
- getOutputsMap() - Method in class org.tensorflow.framework.SignatureDef
-
Named output parameters.
- getOutputsMap() - Method in interface org.tensorflow.framework.SignatureDefOrBuilder
-
Named output parameters.
- getOutputsOrDefault(String, TensorInfo) - Method in class org.tensorflow.framework.SignatureDef.Builder
-
Named output parameters.
- getOutputsOrDefault(String, TensorInfo) - Method in class org.tensorflow.framework.SignatureDef
-
Named output parameters.
- getOutputsOrDefault(String, TensorInfo) - Method in interface org.tensorflow.framework.SignatureDefOrBuilder
-
Named output parameters.
- getOutputsOrThrow(String) - Method in class org.tensorflow.framework.SignatureDef.Builder
-
Named output parameters.
- getOutputsOrThrow(String) - Method in class org.tensorflow.framework.SignatureDef
-
Named output parameters.
- getOutputsOrThrow(String) - Method in interface org.tensorflow.framework.SignatureDefOrBuilder
-
Named output parameters.
- getOutputStats(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Get normalization statistics for a given output.
- getOutputStats() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Get the map of normalization statistics per output
- getOutputVariablesForFunction(DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Get the output variable(s) for the specified differential function
- getPaddingId() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
int32 padding_id = 5;
- getPaddingId() - Method in class org.tensorflow.framework.GraphTransferNodeInfo
-
int32 padding_id = 5;
- getPaddingId() - Method in interface org.tensorflow.framework.GraphTransferNodeInfoOrBuilder
-
int32 padding_id = 5;
- getParallelIterations() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
The number of iterations allowed to run in parallel.
- getParallelIterations() - Method in class org.tensorflow.framework.WhileContextDef
-
The number of iterations allowed to run in parallel.
- getParallelIterations() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder
-
The number of iterations allowed to run in parallel.
- getParameterMap() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
Deprecated.
- getParameterMap() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
-
Deprecated.
- getParameterMap() - Method in interface org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder
-
Deprecated.
- getParameterMapCount() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
- getParameterMapCount() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
-
- getParameterMapCount() - Method in interface org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder
-
map<string, .tensorflow.AttrValue> parameter_map = 2;
- getParameterMapMap() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
map<string, .tensorflow.AttrValue> parameter_map = 2;
- getParameterMapMap() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
-
map<string, .tensorflow.AttrValue> parameter_map = 2;
- getParameterMapMap() - Method in interface org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder
-
map<string, .tensorflow.AttrValue> parameter_map = 2;
- getParameterMapOrDefault(String, AttrValue) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
map<string, .tensorflow.AttrValue> parameter_map = 2;
- getParameterMapOrDefault(String, AttrValue) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
-
map<string, .tensorflow.AttrValue> parameter_map = 2;
- getParameterMapOrDefault(String, AttrValue) - Method in interface org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder
-
map<string, .tensorflow.AttrValue> parameter_map = 2;
- getParameterMapOrThrow(String) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
map<string, .tensorflow.AttrValue> parameter_map = 2;
- getParameterMapOrThrow(String) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
-
map<string, .tensorflow.AttrValue> parameter_map = 2;
- getParameterMapOrThrow(String) - Method in interface org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder
-
map<string, .tensorflow.AttrValue> parameter_map = 2;
- getParametersViewArray() - Method in class org.nd4j.linalg.activations.BaseActivationFunction
-
- getParametersViewArray() - Method in interface org.nd4j.linalg.activations.IActivation
-
- getParentWorkspace() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method returns parent Workspace, if any.
- getParentWorkspace() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns parent Workspace, if any.
- getParserForType() - Method in class onnx.OnnxMlProto3.AttributeProto
-
- getParserForType() - Method in class onnx.OnnxMlProto3.GraphProto
-
- getParserForType() - Method in class onnx.OnnxMlProto3.ModelProto
-
- getParserForType() - Method in class onnx.OnnxMlProto3.NodeProto
-
- getParserForType() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto
-
- getParserForType() - Method in class onnx.OnnxMlProto3.StringStringEntryProto
-
- getParserForType() - Method in class onnx.OnnxMlProto3.TensorProto
-
- getParserForType() - Method in class onnx.OnnxMlProto3.TensorProto.Segment
-
- getParserForType() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
-
- getParserForType() - Method in class onnx.OnnxMlProto3.TensorShapeProto
-
- getParserForType() - Method in class onnx.OnnxMlProto3.TypeProto
-
- getParserForType() - Method in class onnx.OnnxMlProto3.TypeProto.Map
-
- getParserForType() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence
-
- getParserForType() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor
-
- getParserForType() - Method in class onnx.OnnxMlProto3.ValueInfoProto
-
- getParserForType() - Method in class onnx.OnnxOperatorsProto3.OperatorProto
-
- getParserForType() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
- getParserForType() - Method in class onnx.OnnxProto3.AttributeProto
-
- getParserForType() - Method in class onnx.OnnxProto3.GraphProto
-
- getParserForType() - Method in class onnx.OnnxProto3.ModelProto
-
- getParserForType() - Method in class onnx.OnnxProto3.NodeProto
-
- getParserForType() - Method in class onnx.OnnxProto3.OperatorSetIdProto
-
- getParserForType() - Method in class onnx.OnnxProto3.StringStringEntryProto
-
- getParserForType() - Method in class onnx.OnnxProto3.TensorProto
-
- getParserForType() - Method in class onnx.OnnxProto3.TensorProto.Segment
-
- getParserForType() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension
-
- getParserForType() - Method in class onnx.OnnxProto3.TensorShapeProto
-
- getParserForType() - Method in class onnx.OnnxProto3.TypeProto
-
- getParserForType() - Method in class onnx.OnnxProto3.TypeProto.Tensor
-
- getParserForType() - Method in class onnx.OnnxProto3.ValueInfoProto
-
- getParserForType() - Method in class org.tensorflow.distruntime.CleanupAllRequest
-
- getParserForType() - Method in class org.tensorflow.distruntime.CleanupAllResponse
-
- getParserForType() - Method in class org.tensorflow.distruntime.CleanupGraphRequest
-
- getParserForType() - Method in class org.tensorflow.distruntime.CleanupGraphResponse
-
- getParserForType() - Method in class org.tensorflow.distruntime.CloseSessionRequest
-
- getParserForType() - Method in class org.tensorflow.distruntime.CloseSessionResponse
-
- getParserForType() - Method in class org.tensorflow.distruntime.ClusterDef
-
- getParserForType() - Method in class org.tensorflow.distruntime.CompleteGroupRequest
-
- getParserForType() - Method in class org.tensorflow.distruntime.CompleteGroupResponse
-
- getParserForType() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest
-
- getParserForType() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse
-
- getParserForType() - Method in class org.tensorflow.distruntime.CreateSessionRequest
-
- getParserForType() - Method in class org.tensorflow.distruntime.CreateSessionResponse
-
- getParserForType() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest
-
- getParserForType() - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse
-
- getParserForType() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest
-
- getParserForType() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse
-
- getParserForType() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest
-
- getParserForType() - Method in class org.tensorflow.distruntime.DeregisterGraphResponse
-
- getParserForType() - Method in class org.tensorflow.distruntime.ExecutorOpts
-
- getParserForType() - Method in class org.tensorflow.distruntime.ExtendSessionRequest
-
- getParserForType() - Method in class org.tensorflow.distruntime.ExtendSessionResponse
-
- getParserForType() - Method in class org.tensorflow.distruntime.GetStatusRequest
-
- getParserForType() - Method in class org.tensorflow.distruntime.GetStatusResponse
-
- getParserForType() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest
-
- getParserForType() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse
-
- getParserForType() - Method in class org.tensorflow.distruntime.JobDef
-
- getParserForType() - Method in class org.tensorflow.distruntime.LabeledStepStats
-
- getParserForType() - Method in class org.tensorflow.distruntime.ListDevicesRequest
-
- getParserForType() - Method in class org.tensorflow.distruntime.ListDevicesResponse
-
- getParserForType() - Method in class org.tensorflow.distruntime.LoggingRequest
-
- getParserForType() - Method in class org.tensorflow.distruntime.LoggingResponse
-
- getParserForType() - Method in class org.tensorflow.distruntime.MakeCallableRequest
-
- getParserForType() - Method in class org.tensorflow.distruntime.MakeCallableResponse
-
- getParserForType() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest
-
- getParserForType() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse
-
- getParserForType() - Method in class org.tensorflow.distruntime.RecvBufRequest
-
- getParserForType() - Method in class org.tensorflow.distruntime.RecvBufResponse
-
- getParserForType() - Method in class org.tensorflow.distruntime.RecvTensorRequest
-
- getParserForType() - Method in class org.tensorflow.distruntime.RecvTensorResponse
-
- getParserForType() - Method in class org.tensorflow.distruntime.RegisterGraphRequest
-
- getParserForType() - Method in class org.tensorflow.distruntime.RegisterGraphResponse
-
- getParserForType() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest
-
- getParserForType() - Method in class org.tensorflow.distruntime.ReleaseCallableResponse
-
- getParserForType() - Method in class org.tensorflow.distruntime.ResetRequest
-
- getParserForType() - Method in class org.tensorflow.distruntime.ResetResponse
-
- getParserForType() - Method in class org.tensorflow.distruntime.RunCallableRequest
-
- getParserForType() - Method in class org.tensorflow.distruntime.RunCallableResponse
-
- getParserForType() - Method in class org.tensorflow.distruntime.RunGraphRequest
-
- getParserForType() - Method in class org.tensorflow.distruntime.RunGraphResponse
-
- getParserForType() - Method in class org.tensorflow.distruntime.RunStepRequest
-
- getParserForType() - Method in class org.tensorflow.distruntime.RunStepResponse
-
- getParserForType() - Method in class org.tensorflow.distruntime.ServerDef
-
- getParserForType() - Method in class org.tensorflow.distruntime.StepSequence
-
- getParserForType() - Method in class org.tensorflow.distruntime.TraceOpts
-
- getParserForType() - Method in class org.tensorflow.distruntime.TracingRequest
-
- getParserForType() - Method in class org.tensorflow.distruntime.TracingResponse
-
- getParserForType() - Method in class org.tensorflow.framework.AllocationDescription
-
- getParserForType() - Method in class org.tensorflow.framework.AllocationRecord
-
- getParserForType() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
- getParserForType() - Method in class org.tensorflow.framework.ApiDef.Arg
-
- getParserForType() - Method in class org.tensorflow.framework.ApiDef.Attr
-
- getParserForType() - Method in class org.tensorflow.framework.ApiDef.Endpoint
-
- getParserForType() - Method in class org.tensorflow.framework.ApiDef
-
- getParserForType() - Method in class org.tensorflow.framework.ApiDefs
-
- getParserForType() - Method in class org.tensorflow.framework.AssetFileDef
-
- getParserForType() - Method in class org.tensorflow.framework.AttrValue
-
- getParserForType() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
- getParserForType() - Method in class org.tensorflow.framework.AutoParallelOptions
-
- getParserForType() - Method in class org.tensorflow.framework.CallableOptions
-
- getParserForType() - Method in class org.tensorflow.framework.CollectionDef.AnyList
-
- getParserForType() - Method in class org.tensorflow.framework.CollectionDef.BytesList
-
- getParserForType() - Method in class org.tensorflow.framework.CollectionDef.FloatList
-
- getParserForType() - Method in class org.tensorflow.framework.CollectionDef
-
- getParserForType() - Method in class org.tensorflow.framework.CollectionDef.Int64List
-
- getParserForType() - Method in class org.tensorflow.framework.CollectionDef.NodeList
-
- getParserForType() - Method in class org.tensorflow.framework.CondContextDef
-
- getParserForType() - Method in class org.tensorflow.framework.ConfigProto.Experimental
-
- getParserForType() - Method in class org.tensorflow.framework.ConfigProto
-
- getParserForType() - Method in class org.tensorflow.framework.ControlFlowContextDef
-
- getParserForType() - Method in class org.tensorflow.framework.CostGraphDef
-
- getParserForType() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
- getParserForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo
-
- getParserForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
- getParserForType() - Method in class org.tensorflow.framework.CriticalSectionDef
-
- getParserForType() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef
-
- getParserForType() - Method in class org.tensorflow.framework.DebuggedSourceFile
-
- getParserForType() - Method in class org.tensorflow.framework.DebuggedSourceFiles
-
- getParserForType() - Method in class org.tensorflow.framework.DebugOptions
-
- getParserForType() - Method in class org.tensorflow.framework.DebugTensorWatch
-
- getParserForType() - Method in class org.tensorflow.framework.DeviceAttributes
-
- getParserForType() - Method in class org.tensorflow.framework.DeviceLocality
-
- getParserForType() - Method in class org.tensorflow.framework.DeviceStepStats
-
- getParserForType() - Method in class org.tensorflow.framework.FunctionDef
-
- getParserForType() - Method in class org.tensorflow.framework.FunctionDefLibrary
-
- getParserForType() - Method in class org.tensorflow.framework.GPUOptions.Experimental
-
- getParserForType() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
-
- getParserForType() - Method in class org.tensorflow.framework.GPUOptions
-
- getParserForType() - Method in class org.tensorflow.framework.GradientDef
-
- getParserForType() - Method in class org.tensorflow.framework.GraphDef
-
- getParserForType() - Method in class org.tensorflow.framework.GraphOptions
-
- getParserForType() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo
-
- getParserForType() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo
-
- getParserForType() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
-
- getParserForType() - Method in class org.tensorflow.framework.GraphTransferInfo
-
- getParserForType() - Method in class org.tensorflow.framework.GraphTransferNodeInfo
-
- getParserForType() - Method in class org.tensorflow.framework.GraphTransferNodeInput
-
- getParserForType() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo
-
- getParserForType() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo
-
- getParserForType() - Method in class org.tensorflow.framework.HistogramProto
-
- getParserForType() - Method in class org.tensorflow.framework.InterconnectLink
-
- getParserForType() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint
-
- getParserForType() - Method in class org.tensorflow.framework.KernelDef
-
- getParserForType() - Method in class org.tensorflow.framework.LocalLinks
-
- getParserForType() - Method in class org.tensorflow.framework.MemoryLogRawAllocation
-
- getParserForType() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation
-
- getParserForType() - Method in class org.tensorflow.framework.MemoryLogStep
-
- getParserForType() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation
-
- getParserForType() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation
-
- getParserForType() - Method in class org.tensorflow.framework.MemoryLogTensorOutput
-
- getParserForType() - Method in class org.tensorflow.framework.MemoryStats
-
- getParserForType() - Method in class org.tensorflow.framework.MetaGraphDef
-
- getParserForType() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
- getParserForType() - Method in class org.tensorflow.framework.NameAttrList
-
- getParserForType() - Method in class org.tensorflow.framework.NamedTensorProto
-
- getParserForType() - Method in class org.tensorflow.framework.NodeDef
-
- getParserForType() - Method in class org.tensorflow.framework.NodeExecStats
-
- getParserForType() - Method in class org.tensorflow.framework.NodeOutput
-
- getParserForType() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
- getParserForType() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
- getParserForType() - Method in class org.tensorflow.framework.OpDef
-
- getParserForType() - Method in class org.tensorflow.framework.OpDeprecation
-
- getParserForType() - Method in class org.tensorflow.framework.OpList
-
- getParserForType() - Method in class org.tensorflow.framework.OptimizerOptions
-
- getParserForType() - Method in class org.tensorflow.framework.QueueRunnerDef
-
- getParserForType() - Method in class org.tensorflow.framework.ReaderBaseState
-
- getParserForType() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
- getParserForType() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
- getParserForType() - Method in class org.tensorflow.framework.ResourceHandleProto
-
- getParserForType() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
-
- getParserForType() - Method in class org.tensorflow.framework.RewriterConfig
-
- getParserForType() - Method in class org.tensorflow.framework.RPCOptions
-
- getParserForType() - Method in class org.tensorflow.framework.RunMetadata
-
- getParserForType() - Method in class org.tensorflow.framework.RunOptions.Experimental
-
- getParserForType() - Method in class org.tensorflow.framework.RunOptions
-
- getParserForType() - Method in class org.tensorflow.framework.SavedModel
-
- getParserForType() - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
- getParserForType() - Method in class org.tensorflow.framework.ScopedAllocatorOptions
-
- getParserForType() - Method in class org.tensorflow.framework.SignatureDef
-
- getParserForType() - Method in class org.tensorflow.framework.StepStats
-
- getParserForType() - Method in class org.tensorflow.framework.Summary.Audio
-
- getParserForType() - Method in class org.tensorflow.framework.Summary
-
- getParserForType() - Method in class org.tensorflow.framework.Summary.Image
-
- getParserForType() - Method in class org.tensorflow.framework.Summary.Value
-
- getParserForType() - Method in class org.tensorflow.framework.SummaryDescription
-
- getParserForType() - Method in class org.tensorflow.framework.SummaryMetadata
-
- getParserForType() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData
-
- getParserForType() - Method in class org.tensorflow.framework.TensorConnection
-
- getParserForType() - Method in class org.tensorflow.framework.TensorDescription
-
- getParserForType() - Method in class org.tensorflow.framework.TensorInfo.CooSparse
-
- getParserForType() - Method in class org.tensorflow.framework.TensorInfo
-
- getParserForType() - Method in class org.tensorflow.framework.TensorProto
-
- getParserForType() - Method in class org.tensorflow.framework.TensorShapeProto.Dim
-
- getParserForType() - Method in class org.tensorflow.framework.TensorShapeProto
-
- getParserForType() - Method in class org.tensorflow.framework.TensorSliceProto.Extent
-
- getParserForType() - Method in class org.tensorflow.framework.TensorSliceProto
-
- getParserForType() - Method in class org.tensorflow.framework.ThreadPoolOptionProto
-
- getParserForType() - Method in class org.tensorflow.framework.ValuesDef
-
- getParserForType() - Method in class org.tensorflow.framework.VariableDef
-
- getParserForType() - Method in class org.tensorflow.framework.VariantTensorDataProto
-
- getParserForType() - Method in class org.tensorflow.framework.VersionDef
-
- getParserForType() - Method in class org.tensorflow.framework.WhileContextDef
-
- getParserForType() - Method in class org.tensorflow.util.BundleEntryProto
-
- getParserForType() - Method in class org.tensorflow.util.BundleHeaderProto
-
- getParserForType() - Method in class org.tensorflow.util.IteratorStateMetadata
-
- getParserForType() - Method in class org.tensorflow.util.SaverDef
-
- getParserForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
- getParserForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
-
- getParserForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
-
- getParserForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
-
- getParserForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
-
- getParserForType() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties
-
- getParserForType() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice
-
- getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
-
- getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
-
- getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
-
- getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
-
- getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
-
- getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
-
- getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
-
- getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
-
- getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation
-
- getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem
-
- getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
-
- getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
-
- getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
-
- getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
-
- getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
-
- getParserForType() - Method in class tensorflow.TransportOptions.RecvBufRespExtra
-
- getPartialRunHandle() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder
-
The unique handle corresponding to the ongoing partial run call setup by
the invocation to PartialRunSetup.
- getPartialRunHandle() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse
-
The unique handle corresponding to the ongoing partial run call setup by
the invocation to PartialRunSetup.
- getPartialRunHandle() - Method in interface org.tensorflow.distruntime.PartialRunSetupResponseOrBuilder
-
The unique handle corresponding to the ongoing partial run call setup by
the invocation to PartialRunSetup.
- getPartialRunHandle() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Partial run handle (optional).
- getPartialRunHandle() - Method in class org.tensorflow.distruntime.RunStepRequest
-
Partial run handle (optional).
- getPartialRunHandle() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Partial run handle (optional).
- getPartialRunHandleBytes() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder
-
The unique handle corresponding to the ongoing partial run call setup by
the invocation to PartialRunSetup.
- getPartialRunHandleBytes() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse
-
The unique handle corresponding to the ongoing partial run call setup by
the invocation to PartialRunSetup.
- getPartialRunHandleBytes() - Method in interface org.tensorflow.distruntime.PartialRunSetupResponseOrBuilder
-
The unique handle corresponding to the ongoing partial run call setup by
the invocation to PartialRunSetup.
- getPartialRunHandleBytes() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Partial run handle (optional).
- getPartialRunHandleBytes() - Method in class org.tensorflow.distruntime.RunStepRequest
-
Partial run handle (optional).
- getPartialRunHandleBytes() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Partial run handle (optional).
- getPartitionGraph(int) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraph(int) - Method in class org.tensorflow.distruntime.RunGraphResponse
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraph(int) - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphBuilder(int) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphBuilderList() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphCount() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphCount() - Method in class org.tensorflow.distruntime.RunGraphResponse
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphCount() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphList() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphList() - Method in class org.tensorflow.distruntime.RunGraphResponse
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphList() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphOrBuilder(int) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphOrBuilder(int) - Method in class org.tensorflow.distruntime.RunGraphResponse
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphOrBuilder(int) - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphOrBuilderList() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphOrBuilderList() - Method in class org.tensorflow.distruntime.RunGraphResponse
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphOrBuilderList() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphs(int) - Method in class org.tensorflow.framework.RunMetadata.Builder
-
Graphs of the partitions executed by executors.
- getPartitionGraphs(int) - Method in class org.tensorflow.framework.RunMetadata
-
Graphs of the partitions executed by executors.
- getPartitionGraphs(int) - Method in interface org.tensorflow.framework.RunMetadataOrBuilder
-
Graphs of the partitions executed by executors.
- getPartitionGraphsBuilder(int) - Method in class org.tensorflow.framework.RunMetadata.Builder
-
Graphs of the partitions executed by executors.
- getPartitionGraphsBuilderList() - Method in class org.tensorflow.framework.RunMetadata.Builder
-
Graphs of the partitions executed by executors.
- getPartitionGraphsCount() - Method in class org.tensorflow.framework.RunMetadata.Builder
-
Graphs of the partitions executed by executors.
- getPartitionGraphsCount() - Method in class org.tensorflow.framework.RunMetadata
-
Graphs of the partitions executed by executors.
- getPartitionGraphsCount() - Method in interface org.tensorflow.framework.RunMetadataOrBuilder
-
Graphs of the partitions executed by executors.
- getPartitionGraphsList() - Method in class org.tensorflow.framework.RunMetadata.Builder
-
Graphs of the partitions executed by executors.
- getPartitionGraphsList() - Method in class org.tensorflow.framework.RunMetadata
-
Graphs of the partitions executed by executors.
- getPartitionGraphsList() - Method in interface org.tensorflow.framework.RunMetadataOrBuilder
-
Graphs of the partitions executed by executors.
- getPartitionGraphsOrBuilder(int) - Method in class org.tensorflow.framework.RunMetadata.Builder
-
Graphs of the partitions executed by executors.
- getPartitionGraphsOrBuilder(int) - Method in class org.tensorflow.framework.RunMetadata
-
Graphs of the partitions executed by executors.
- getPartitionGraphsOrBuilder(int) - Method in interface org.tensorflow.framework.RunMetadataOrBuilder
-
Graphs of the partitions executed by executors.
- getPartitionGraphsOrBuilderList() - Method in class org.tensorflow.framework.RunMetadata.Builder
-
Graphs of the partitions executed by executors.
- getPartitionGraphsOrBuilderList() - Method in class org.tensorflow.framework.RunMetadata
-
Graphs of the partitions executed by executors.
- getPartitionGraphsOrBuilderList() - Method in interface org.tensorflow.framework.RunMetadataOrBuilder
-
Graphs of the partitions executed by executors.
- getPeakBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
int64 peak_bytes = 3;
- getPeakBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
int64 peak_bytes = 3;
- getPeakBytes() - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
int64 peak_bytes = 3;
- getPercentile(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getPercentile(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getPermutedWithShape(char, long, long, long, DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getPermutedWithShape(long, long, long, DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getPerProcessGpuMemoryFraction() - Method in class org.tensorflow.framework.GPUOptions.Builder
-
Fraction of the available GPU memory to allocate for each process.
- getPerProcessGpuMemoryFraction() - Method in class org.tensorflow.framework.GPUOptions
-
Fraction of the available GPU memory to allocate for each process.
- getPerProcessGpuMemoryFraction() - Method in interface org.tensorflow.framework.GPUOptionsOrBuilder
-
Fraction of the available GPU memory to allocate for each process.
- getPersistentMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Persistent memory used by this node.
- getPersistentMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
Persistent memory used by this node.
- getPersistentMemorySize() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
Persistent memory used by this node.
- getPersistentMemorySize() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
int64 persistent_memory_size = 3;
- getPersistentMemorySize() - Method in class org.tensorflow.framework.MemoryStats
-
int64 persistent_memory_size = 3;
- getPersistentMemorySize() - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder
-
int64 persistent_memory_size = 3;
- getPersistentTensorAllocIds(int) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
repeated int64 persistent_tensor_alloc_ids = 5;
- getPersistentTensorAllocIds(int) - Method in class org.tensorflow.framework.MemoryStats
-
repeated int64 persistent_tensor_alloc_ids = 5;
- getPersistentTensorAllocIds(int) - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder
-
repeated int64 persistent_tensor_alloc_ids = 5;
- getPersistentTensorAllocIdsCount() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
repeated int64 persistent_tensor_alloc_ids = 5;
- getPersistentTensorAllocIdsCount() - Method in class org.tensorflow.framework.MemoryStats
-
repeated int64 persistent_tensor_alloc_ids = 5;
- getPersistentTensorAllocIdsCount() - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder
-
repeated int64 persistent_tensor_alloc_ids = 5;
- getPersistentTensorAllocIdsList() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
repeated int64 persistent_tensor_alloc_ids = 5;
- getPersistentTensorAllocIdsList() - Method in class org.tensorflow.framework.MemoryStats
-
repeated int64 persistent_tensor_alloc_ids = 5;
- getPersistentTensorAllocIdsList() - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder
-
repeated int64 persistent_tensor_alloc_ids = 5;
- getPFactor(int, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- getPFactor(int, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLapack
-
- getPFactor(int, INDArray) - Method in interface org.nd4j.linalg.api.blas.Lapack
-
This method takes one of the ipiv returns from LAPACK and creates
the permutation matrix.
- getPhysicalDeviceDesc() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
String representation of the physical device that this device maps to.
- getPhysicalDeviceDesc() - Method in class org.tensorflow.framework.DeviceAttributes
-
String representation of the physical device that this device maps to.
- getPhysicalDeviceDesc() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder
-
String representation of the physical device that this device maps to.
- getPhysicalDeviceDescBytes() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
String representation of the physical device that this device maps to.
- getPhysicalDeviceDescBytes() - Method in class org.tensorflow.framework.DeviceAttributes
-
String representation of the physical device that this device maps to.
- getPhysicalDeviceDescBytes() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder
-
String representation of the physical device that this device maps to.
- getPinnedSize() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns number of bytes in pinned allocations.
- getPivotForBodyName() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Name of the pivot_for_body tensor.
- getPivotForBodyName() - Method in class org.tensorflow.framework.WhileContextDef
-
Name of the pivot_for_body tensor.
- getPivotForBodyName() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder
-
Name of the pivot_for_body tensor.
- getPivotForBodyNameBytes() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Name of the pivot_for_body tensor.
- getPivotForBodyNameBytes() - Method in class org.tensorflow.framework.WhileContextDef
-
Name of the pivot_for_body tensor.
- getPivotForBodyNameBytes() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder
-
Name of the pivot_for_body tensor.
- getPivotForPredName() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Name of the pivot_for_pred tensor.
- getPivotForPredName() - Method in class org.tensorflow.framework.WhileContextDef
-
Name of the pivot_for_pred tensor.
- getPivotForPredName() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder
-
Name of the pivot_for_pred tensor.
- getPivotForPredNameBytes() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Name of the pivot_for_pred tensor.
- getPivotForPredNameBytes() - Method in class org.tensorflow.framework.WhileContextDef
-
Name of the pivot_for_pred tensor.
- getPivotForPredNameBytes() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder
-
Name of the pivot_for_pred tensor.
- getPivotName() - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Name of the pivot tensor.
- getPivotName() - Method in class org.tensorflow.framework.CondContextDef
-
Name of the pivot tensor.
- getPivotName() - Method in interface org.tensorflow.framework.CondContextDefOrBuilder
-
Name of the pivot tensor.
- getPivotName() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Name of the pivot tensor.
- getPivotName() - Method in class org.tensorflow.framework.WhileContextDef
-
Name of the pivot tensor.
- getPivotName() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder
-
Name of the pivot tensor.
- getPivotNameBytes() - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Name of the pivot tensor.
- getPivotNameBytes() - Method in class org.tensorflow.framework.CondContextDef
-
Name of the pivot tensor.
- getPivotNameBytes() - Method in interface org.tensorflow.framework.CondContextDefOrBuilder
-
Name of the pivot tensor.
- getPivotNameBytes() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Name of the pivot tensor.
- getPivotNameBytes() - Method in class org.tensorflow.framework.WhileContextDef
-
Name of the pivot tensor.
- getPivotNameBytes() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder
-
Name of the pivot tensor.
- getPlaceholder() - Method in class org.tensorflow.framework.AttrValue.Builder
-
This is a placeholder only used in nodes defined inside a
function.
- getPlaceholder() - Method in class org.tensorflow.framework.AttrValue
-
This is a placeholder only used in nodes defined inside a
function.
- getPlaceholder() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
This is a placeholder only used in nodes defined inside a
function.
- getPlaceholderBytes() - Method in class org.tensorflow.framework.AttrValue.Builder
-
This is a placeholder only used in nodes defined inside a
function.
- getPlaceholderBytes() - Method in class org.tensorflow.framework.AttrValue
-
This is a placeholder only used in nodes defined inside a
function.
- getPlaceholderBytes() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
This is a placeholder only used in nodes defined inside a
function.
- getPlacementPeriod() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Assignment of Nodes to Devices is recomputed every placement_period
steps until the system warms up (at which point the recomputation
typically slows down automatically).
- getPlacementPeriod() - Method in class org.tensorflow.framework.ConfigProto
-
Assignment of Nodes to Devices is recomputed every placement_period
steps until the system warms up (at which point the recomputation
typically slows down automatically).
- getPlacementPeriod() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
Assignment of Nodes to Devices is recomputed every placement_period
steps until the system warms up (at which point the recomputation
typically slows down automatically).
- getPlacePrunedGraph() - Method in class org.tensorflow.framework.GraphOptions.Builder
-
Only place the subgraphs that are run, rather than the entire graph.
- getPlacePrunedGraph() - Method in class org.tensorflow.framework.GraphOptions
-
Only place the subgraphs that are run, rather than the entire graph.
- getPlacePrunedGraph() - Method in interface org.tensorflow.framework.GraphOptionsOrBuilder
-
Only place the subgraphs that are run, rather than the entire graph.
- getPluginData() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Data that associates a summary with a certain plugin.
- getPluginData() - Method in class org.tensorflow.framework.SummaryMetadata
-
Data that associates a summary with a certain plugin.
- getPluginData() - Method in interface org.tensorflow.framework.SummaryMetadataOrBuilder
-
Data that associates a summary with a certain plugin.
- getPluginDataBuilder() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Data that associates a summary with a certain plugin.
- getPluginDataOrBuilder() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Data that associates a summary with a certain plugin.
- getPluginDataOrBuilder() - Method in class org.tensorflow.framework.SummaryMetadata
-
Data that associates a summary with a certain plugin.
- getPluginDataOrBuilder() - Method in interface org.tensorflow.framework.SummaryMetadataOrBuilder
-
Data that associates a summary with a certain plugin.
- getPluginName() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
The name of the plugin this data pertains to.
- getPluginName() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData
-
The name of the plugin this data pertains to.
- getPluginName() - Method in interface org.tensorflow.framework.SummaryMetadata.PluginDataOrBuilder
-
The name of the plugin this data pertains to.
- getPluginNameBytes() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
The name of the plugin this data pertains to.
- getPluginNameBytes() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData
-
The name of the plugin this data pertains to.
- getPluginNameBytes() - Method in interface org.tensorflow.framework.SummaryMetadata.PluginDataOrBuilder
-
The name of the plugin this data pertains to.
- getPointAtPrecision(double) - Method in class org.nd4j.evaluation.curves.PrecisionRecallCurve
-
Get the point (index, threshold, precision, recall) at the given precision.
Specifically, return the points at the lowest threshold that has precision equal to or greater than the
requested precision.
- getPointAtRecall(double) - Method in class org.nd4j.evaluation.curves.PrecisionRecallCurve
-
Get the point (index, threshold, precision, recall) at the given recall.
Specifically, return the points at the highest threshold that has recall equal to or greater than the
requested recall.
- getPointAtThreshold(double) - Method in class org.nd4j.evaluation.curves.PrecisionRecallCurve
-
Get the point (index, threshold, precision, recall) at the given threshold.
Note that if the threshold is not found exactly, the next highest threshold exceeding the requested threshold
is returned
- getPointerB() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
-
- getPointerBArray() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
-
- getPointerE() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
-
- getPointerEArray() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
-
- getPollingActiveDelayUsecs() - Method in class org.tensorflow.framework.GPUOptions.Builder
-
In the event polling loop sleep this many microseconds between
PollEvents calls, when the queue is not empty.
- getPollingActiveDelayUsecs() - Method in class org.tensorflow.framework.GPUOptions
-
In the event polling loop sleep this many microseconds between
PollEvents calls, when the queue is not empty.
- getPollingActiveDelayUsecs() - Method in interface org.tensorflow.framework.GPUOptionsOrBuilder
-
In the event polling loop sleep this many microseconds between
PollEvents calls, when the queue is not empty.
- getPollingInactiveDelayMsecs() - Method in class org.tensorflow.framework.GPUOptions.Builder
-
This field is deprecated and ignored.
- getPollingInactiveDelayMsecs() - Method in class org.tensorflow.framework.GPUOptions
-
This field is deprecated and ignored.
- getPollingInactiveDelayMsecs() - Method in interface org.tensorflow.framework.GPUOptionsOrBuilder
-
This field is deprecated and ignored.
- getPoolingPrefix() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D
-
- getPoolingPrefix() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling3D
-
- getPoolingPrefix() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D
-
- getPoolingPrefix() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling3D
-
- getPoolingPrefix() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D
-
- getPoolingPrefix() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D
-
- getPosition() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- getPosition() - Method in interface org.nd4j.linalg.api.rng.Random
-
This method returns number of elements consumed
- getPrecedingNode() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
int32 preceding_node = 1;
- getPrecedingNode() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo
-
int32 preceding_node = 1;
- getPrecedingNode() - Method in interface org.tensorflow.framework.CostGraphDef.Node.InputInfoOrBuilder
-
int32 preceding_node = 1;
- getPrecedingPort() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
int32 preceding_port = 2;
- getPrecedingPort() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo
-
int32 preceding_port = 2;
- getPrecedingPort() - Method in interface org.tensorflow.framework.CostGraphDef.Node.InputInfoOrBuilder
-
int32 preceding_port = 2;
- getPrecision(int) - Method in class org.nd4j.evaluation.curves.PrecisionRecallCurve
-
- getPrecisionRecallCurve() - Method in class org.nd4j.evaluation.classification.ROC
-
Get the precision recall curve as array.
- getPrecisionRecallCurve(int) - Method in class org.nd4j.evaluation.classification.ROCBinary
-
Get the Precision-Recall curve for the specified output
- getPrecisionRecallCurve(int) - Method in class org.nd4j.evaluation.classification.ROCMultiClass
-
Get the (one vs.
- getPredicate() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.IfDerivative
-
- getPredicate() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.WhileDerivative
-
- getPredicateExecution() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.IfDerivative
-
- getPredicateExecution() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.WhileDerivative
-
- getPredictedTotal(T) - Method in class org.nd4j.evaluation.classification.ConfusionMatrix
-
Computes the total number of times the class was predicted by the classifier.
- getPredictionByPredictedClass(int) - Method in class org.nd4j.evaluation.classification.Evaluation
-
Get a list of predictions, for all data with the specified predicted class, regardless of the actual data
class.
- getPredictionCountsEachClass() - Method in class org.nd4j.evaluation.classification.EvaluationCalibration
-
- getPredictionErrors() - Method in class org.nd4j.evaluation.classification.Evaluation
-
Get a list of prediction errors, on a per-record basis
- getPredictions(int, int) - Method in class org.nd4j.evaluation.classification.Evaluation
-
Get a list of predictions in the specified confusion matrix entry (i.e., for the given actua/predicted class pair)
- getPredictionsByActualClass(int) - Method in class org.nd4j.evaluation.classification.Evaluation
-
Get a list of predictions, for all data with the specified actual class, regardless of the predicted
class.
- getPredName() - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Name of the pred tensor.
- getPredName() - Method in class org.tensorflow.framework.CondContextDef
-
Name of the pred tensor.
- getPredName() - Method in interface org.tensorflow.framework.CondContextDefOrBuilder
-
Name of the pred tensor.
- getPredNameBytes() - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Name of the pred tensor.
- getPredNameBytes() - Method in class org.tensorflow.framework.CondContextDef
-
Name of the pred tensor.
- getPredNameBytes() - Method in interface org.tensorflow.framework.CondContextDefOrBuilder
-
Name of the pred tensor.
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.adapter.MultiDataSetIteratorAdapter
-
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.adapter.SingletonMultiDataSetIterator
-
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- getPreProcessor() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
-
Returns preprocessors, if defined
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
-
- getPreProcessor() - Method in interface org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator
-
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
-
Deprecated.
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
-
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator
-
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
-
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.ViewIterator
-
- getProbabilityHistogram(int) - Method in class org.nd4j.evaluation.classification.EvaluationCalibration
-
Return a probability histogram of the specified label class index.
- getProbabilityHistogramAllClasses() - Method in class org.nd4j.evaluation.classification.EvaluationCalibration
-
Return a probability histogram for all predictions/classes.
- getProbabilityOfSuccess() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
Access the probability of success for this distribution.
- getProbAndLabelUsed() - Method in class org.nd4j.evaluation.classification.ROC
-
- getProducer() - Method in class org.tensorflow.framework.VersionDef.Builder
-
The version of the code that produced this data.
- getProducer() - Method in class org.tensorflow.framework.VersionDef
-
The version of the code that produced this data.
- getProducer() - Method in interface org.tensorflow.framework.VersionDefOrBuilder
-
The version of the code that produced this data.
- getProducerName() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The name of the framework or tool used to generate this model.
- getProducerName() - Method in class onnx.OnnxMlProto3.ModelProto
-
The name of the framework or tool used to generate this model.
- getProducerName() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
The name of the framework or tool used to generate this model.
- getProducerName() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The name of the framework or tool used to generate this model.
- getProducerName() - Method in class onnx.OnnxProto3.ModelProto
-
The name of the framework or tool used to generate this model.
- getProducerName() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
The name of the framework or tool used to generate this model.
- getProducerNameBytes() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The name of the framework or tool used to generate this model.
- getProducerNameBytes() - Method in class onnx.OnnxMlProto3.ModelProto
-
The name of the framework or tool used to generate this model.
- getProducerNameBytes() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
The name of the framework or tool used to generate this model.
- getProducerNameBytes() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The name of the framework or tool used to generate this model.
- getProducerNameBytes() - Method in class onnx.OnnxProto3.ModelProto
-
The name of the framework or tool used to generate this model.
- getProducerNameBytes() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
The name of the framework or tool used to generate this model.
- getProducerVersion() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The version of the framework or tool used to generate this model.
- getProducerVersion() - Method in class onnx.OnnxMlProto3.ModelProto
-
The version of the framework or tool used to generate this model.
- getProducerVersion() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
The version of the framework or tool used to generate this model.
- getProducerVersion() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The version of the framework or tool used to generate this model.
- getProducerVersion() - Method in class onnx.OnnxProto3.ModelProto
-
The version of the framework or tool used to generate this model.
- getProducerVersion() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
The version of the framework or tool used to generate this model.
- getProducerVersionBytes() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The version of the framework or tool used to generate this model.
- getProducerVersionBytes() - Method in class onnx.OnnxMlProto3.ModelProto
-
The version of the framework or tool used to generate this model.
- getProducerVersionBytes() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
The version of the framework or tool used to generate this model.
- getProducerVersionBytes() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The version of the framework or tool used to generate this model.
- getProducerVersionBytes() - Method in class onnx.OnnxProto3.ModelProto
-
The version of the framework or tool used to generate this model.
- getProducerVersionBytes() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
The version of the framework or tool used to generate this model.
- getProfilingMode() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
Deprecated.
- getProfilingMode() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
Deprecated.
- getProperties() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder
-
.tensorflow.DeviceProperties properties = 2;
- getProperties() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice
-
.tensorflow.DeviceProperties properties = 2;
- getProperties() - Method in interface tensorflow.DevicePropertiesProtos.NamedDeviceOrBuilder
-
.tensorflow.DeviceProperties properties = 2;
- getPropertiesBuilder() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder
-
.tensorflow.DeviceProperties properties = 2;
- getPropertiesOrBuilder() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder
-
.tensorflow.DeviceProperties properties = 2;
- getPropertiesOrBuilder() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice
-
.tensorflow.DeviceProperties properties = 2;
- getPropertiesOrBuilder() - Method in interface tensorflow.DevicePropertiesProtos.NamedDeviceOrBuilder
-
.tensorflow.DeviceProperties properties = 2;
- getProtocol() - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
The protocol to be used by this server.
- getProtocol() - Method in class org.tensorflow.distruntime.ServerDef
-
The protocol to be used by this server.
- getProtocol() - Method in interface org.tensorflow.distruntime.ServerDefOrBuilder
-
The protocol to be used by this server.
- getProtocolBytes() - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
The protocol to be used by this server.
- getProtocolBytes() - Method in class org.tensorflow.distruntime.ServerDef
-
The protocol to be used by this server.
- getProtocolBytes() - Method in interface org.tensorflow.distruntime.ServerDefOrBuilder
-
The protocol to be used by this server.
- getPtr() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Address of the allocation.
- getPtr() - Method in class org.tensorflow.framework.AllocationDescription
-
Address of the allocation.
- getPtr() - Method in interface org.tensorflow.framework.AllocationDescriptionOrBuilder
-
Address of the allocation.
- getPtr() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Address of the allocation.
- getPtr() - Method in class org.tensorflow.framework.MemoryLogRawAllocation
-
Address of the allocation.
- getPtr() - Method in interface org.tensorflow.framework.MemoryLogRawAllocationOrBuilder
-
Address of the allocation.
- getQueue(int) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueue(int) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueue(int) - Method in interface tensorflow.eager.EagerServiceOuterClass.EnqueueRequestOrBuilder
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueBuilder(int) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueBuilderList() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueClosedExceptionTypes(int) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueClosedExceptionTypes(int) - Method in class org.tensorflow.framework.QueueRunnerDef
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueClosedExceptionTypes(int) - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueClosedExceptionTypesCount() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueClosedExceptionTypesCount() - Method in class org.tensorflow.framework.QueueRunnerDef
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueClosedExceptionTypesCount() - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueClosedExceptionTypesList() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueClosedExceptionTypesList() - Method in class org.tensorflow.framework.QueueRunnerDef
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueClosedExceptionTypesList() - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueClosedExceptionTypesValue(int) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueClosedExceptionTypesValue(int) - Method in class org.tensorflow.framework.QueueRunnerDef
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueClosedExceptionTypesValue(int) - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueClosedExceptionTypesValueList() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueClosedExceptionTypesValueList() - Method in class org.tensorflow.framework.QueueRunnerDef
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueClosedExceptionTypesValueList() - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueCount() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueCount() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueCount() - Method in interface tensorflow.eager.EagerServiceOuterClass.EnqueueRequestOrBuilder
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueLength() - Method in interface org.nd4j.linalg.api.ops.executioner.GridExecutioner
-
This method returns number of operations currently enqueued for execution
- getQueueList() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueList() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueList() - Method in interface tensorflow.eager.EagerServiceOuterClass.EnqueueRequestOrBuilder
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueName() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
Queue name.
- getQueueName() - Method in class org.tensorflow.framework.QueueRunnerDef
-
Queue name.
- getQueueName() - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder
-
Queue name.
- getQueueNameBytes() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
Queue name.
- getQueueNameBytes() - Method in class org.tensorflow.framework.QueueRunnerDef
-
Queue name.
- getQueueNameBytes() - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder
-
Queue name.
- getQueueOrBuilder(int) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueOrBuilder(int) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueOrBuilder(int) - Method in interface tensorflow.eager.EagerServiceOuterClass.EnqueueRequestOrBuilder
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueOrBuilderList() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueOrBuilderList() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueOrBuilderList() - Method in interface tensorflow.eager.EagerServiceOuterClass.EnqueueRequestOrBuilder
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getRandom() - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the current random generator
- getRandom() - Method in class org.nd4j.linalg.factory.RandomFactory
-
This method returns Random implementation instance associated with calling thread
- getRandomBroadCastShape(long, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
Create an ndarray
of
- getRandomFactory() - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method returns RandomFactory instance
- getRandomGenerator() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- getRange(int, int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- getRange() - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.MinMaxStats
-
Get the feature wise
range for the statistics.
- getRange(int, int) - Method in class org.nd4j.linalg.dataset.DataSet
-
- getRawData() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
Serializations can either use one of the fields above, or use this
raw bytes field.
- getRawData() - Method in class onnx.OnnxMlProto3.TensorProto
-
Serializations can either use one of the fields above, or use this
raw bytes field.
- getRawData() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
Serializations can either use one of the fields above, or use this
raw bytes field.
- getRawData() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
Serializations can either use one of the fields above, or use this
raw bytes field.
- getRawData() - Method in class onnx.OnnxProto3.TensorProto
-
Serializations can either use one of the fields above, or use this
raw bytes field.
- getRawData() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
Serializations can either use one of the fields above, or use this
raw bytes field.
- getRealArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
- getRealArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- getRecall(int) - Method in class org.nd4j.evaluation.curves.PrecisionRecallCurve
-
- getRecordCosts() - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder
-
bool record_costs = 1;
- getRecordCosts() - Method in class org.tensorflow.distruntime.ExecutorOpts
-
bool record_costs = 1;
- getRecordCosts() - Method in interface org.tensorflow.distruntime.ExecutorOptsOrBuilder
-
bool record_costs = 1;
- getRecordMetaData(Class<T>) - Method in class org.nd4j.evaluation.meta.Prediction
-
Convenience method for getting the record meta data as a particular class (as an alternative to casting it manually).
- getRecordPartitionGraphs() - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder
-
bool record_partition_graphs = 4;
- getRecordPartitionGraphs() - Method in class org.tensorflow.distruntime.ExecutorOpts
-
bool record_partition_graphs = 4;
- getRecordPartitionGraphs() - Method in interface org.tensorflow.distruntime.ExecutorOptsOrBuilder
-
bool record_partition_graphs = 4;
- getRecordTimeline() - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder
-
bool record_timeline = 3;
- getRecordTimeline() - Method in class org.tensorflow.distruntime.ExecutorOpts
-
bool record_timeline = 3;
- getRecordTimeline() - Method in interface org.tensorflow.distruntime.ExecutorOptsOrBuilder
-
bool record_timeline = 3;
- getRecv(int) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecv(int) - Method in class org.tensorflow.distruntime.RunGraphResponse
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecv(int) - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvBuilder(int) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvBuilderList() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvCount() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvCount() - Method in class org.tensorflow.distruntime.RunGraphResponse
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvCount() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvKey(int) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
repeated string recv_key = 4;
- getRecvKey(int) - Method in class org.tensorflow.distruntime.RunGraphRequest
-
repeated string recv_key = 4;
- getRecvKey(int) - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
repeated string recv_key = 4;
- getRecvKeyBytes(int) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
repeated string recv_key = 4;
- getRecvKeyBytes(int) - Method in class org.tensorflow.distruntime.RunGraphRequest
-
repeated string recv_key = 4;
- getRecvKeyBytes(int) - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
repeated string recv_key = 4;
- getRecvKeyCount() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
repeated string recv_key = 4;
- getRecvKeyCount() - Method in class org.tensorflow.distruntime.RunGraphRequest
-
repeated string recv_key = 4;
- getRecvKeyCount() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
repeated string recv_key = 4;
- getRecvKeyList() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
repeated string recv_key = 4;
- getRecvKeyList() - Method in class org.tensorflow.distruntime.RunGraphRequest
-
repeated string recv_key = 4;
- getRecvKeyList() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
repeated string recv_key = 4;
- getRecvList() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvList() - Method in class org.tensorflow.distruntime.RunGraphResponse
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvList() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvOrBuilder(int) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvOrBuilder(int) - Method in class org.tensorflow.distruntime.RunGraphResponse
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvOrBuilder(int) - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvOrBuilderList() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvOrBuilderList() - Method in class org.tensorflow.distruntime.RunGraphResponse
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvOrBuilderList() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getReducedShape(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the shape of the reduced array
- getReducedShape(long[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getReducedShape(int[], int[], boolean, boolean) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the shape of the reduced array
- getReducedShape(long[], int[], boolean) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getReducedShape(long[], int[], boolean, boolean) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getReferencedTensor(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensor(int) - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensor(int) - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorBuilderList() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorCount() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorCount() - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorCount() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorList() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorList() - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorList() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorOrBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorOrBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorOrBuilder(int) - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorOrBuilderList() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorOrBuilderList() - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorOrBuilderList() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReliabilityDiagram(int) - Method in class org.nd4j.evaluation.classification.EvaluationCalibration
-
Get the reliability diagram for the specified class
- getRemapping() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Remapping (default is ON)
Remap subgraphs onto more efficient implementations.
- getRemapping() - Method in class org.tensorflow.framework.RewriterConfig
-
Remapping (default is ON)
Remap subgraphs onto more efficient implementations.
- getRemapping() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
Remapping (default is ON)
Remap subgraphs onto more efficient implementations.
- getRemappingValue() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Remapping (default is ON)
Remap subgraphs onto more efficient implementations.
- getRemappingValue() - Method in class org.tensorflow.framework.RewriterConfig
-
Remapping (default is ON)
Remap subgraphs onto more efficient implementations.
- getRemappingValue() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
Remapping (default is ON)
Remap subgraphs onto more efficient implementations.
- getRemoteDevice(int) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDevice(int) - Method in class org.tensorflow.distruntime.ListDevicesResponse
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDevice(int) - Method in interface org.tensorflow.distruntime.ListDevicesResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDeviceBuilder(int) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDeviceBuilderList() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDeviceCount() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDeviceCount() - Method in class org.tensorflow.distruntime.ListDevicesResponse
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDeviceCount() - Method in interface org.tensorflow.distruntime.ListDevicesResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDeviceList() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDeviceList() - Method in class org.tensorflow.distruntime.ListDevicesResponse
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDeviceList() - Method in interface org.tensorflow.distruntime.ListDevicesResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDeviceOrBuilder(int) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDeviceOrBuilder(int) - Method in class org.tensorflow.distruntime.ListDevicesResponse
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDeviceOrBuilder(int) - Method in interface org.tensorflow.distruntime.ListDevicesResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDeviceOrBuilderList() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDeviceOrBuilderList() - Method in class org.tensorflow.distruntime.ListDevicesResponse
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDeviceOrBuilderList() - Method in interface org.tensorflow.distruntime.ListDevicesResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteGraph() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Definition of remote graph
- getRemoteGraph() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Definition of remote graph
- getRemoteGraph() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Definition of remote graph
- getRemoteGraphBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Definition of remote graph
- getRemoteGraphOrBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Definition of remote graph
- getRemoteGraphOrBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Definition of remote graph
- getRemoteGraphOrBuilder() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Definition of remote graph
- getRenameTo() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
Change the name used to access this arg in the API from what
is used in the GraphDef.
- getRenameTo() - Method in class org.tensorflow.framework.ApiDef.Arg
-
Change the name used to access this arg in the API from what
is used in the GraphDef.
- getRenameTo() - Method in interface org.tensorflow.framework.ApiDef.ArgOrBuilder
-
Change the name used to access this arg in the API from what
is used in the GraphDef.
- getRenameTo() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Change the name used to access this attr in the API from what
is used in the GraphDef.
- getRenameTo() - Method in class org.tensorflow.framework.ApiDef.Attr
-
Change the name used to access this attr in the API from what
is used in the GraphDef.
- getRenameTo() - Method in interface org.tensorflow.framework.ApiDef.AttrOrBuilder
-
Change the name used to access this attr in the API from what
is used in the GraphDef.
- getRenameToBytes() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
Change the name used to access this arg in the API from what
is used in the GraphDef.
- getRenameToBytes() - Method in class org.tensorflow.framework.ApiDef.Arg
-
Change the name used to access this arg in the API from what
is used in the GraphDef.
- getRenameToBytes() - Method in interface org.tensorflow.framework.ApiDef.ArgOrBuilder
-
Change the name used to access this arg in the API from what
is used in the GraphDef.
- getRenameToBytes() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Change the name used to access this attr in the API from what
is used in the GraphDef.
- getRenameToBytes() - Method in class org.tensorflow.framework.ApiDef.Attr
-
Change the name used to access this attr in the API from what
is used in the GraphDef.
- getRenameToBytes() - Method in interface org.tensorflow.framework.ApiDef.AttrOrBuilder
-
Change the name used to access this attr in the API from what
is used in the GraphDef.
- getRendezvousKey() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
A key identifying the channel to receive tensors from.
- getRendezvousKey() - Method in class org.tensorflow.distruntime.RecvTensorRequest
-
A key identifying the channel to receive tensors from.
- getRendezvousKey() - Method in interface org.tensorflow.distruntime.RecvTensorRequestOrBuilder
-
A key identifying the channel to receive tensors from.
- getRendezvousKeyBytes() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
A key identifying the channel to receive tensors from.
- getRendezvousKeyBytes() - Method in class org.tensorflow.distruntime.RecvTensorRequest
-
A key identifying the channel to receive tensors from.
- getRendezvousKeyBytes() - Method in interface org.tensorflow.distruntime.RecvTensorRequestOrBuilder
-
A key identifying the channel to receive tensors from.
- getReportTensorAllocationsUponOom() - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder
-
bool report_tensor_allocations_upon_oom = 5;
- getReportTensorAllocationsUponOom() - Method in class org.tensorflow.distruntime.ExecutorOpts
-
bool report_tensor_allocations_upon_oom = 5;
- getReportTensorAllocationsUponOom() - Method in interface org.tensorflow.distruntime.ExecutorOptsOrBuilder
-
bool report_tensor_allocations_upon_oom = 5;
- getReportTensorAllocationsUponOom() - Method in class org.tensorflow.framework.RunOptions.Builder
-
When enabled, causes tensor allocation information to be included in
the error message when the Run() call fails because the allocator ran
out of memory (OOM).
- getReportTensorAllocationsUponOom() - Method in class org.tensorflow.framework.RunOptions
-
When enabled, causes tensor allocation information to be included in
the error message when the Run() call fails because the allocator ran
out of memory (OOM).
- getReportTensorAllocationsUponOom() - Method in interface org.tensorflow.framework.RunOptionsOrBuilder
-
When enabled, causes tensor allocation information to be included in
the error message when the Run() call fails because the allocator ran
out of memory (OOM).
- getRequestedBytes() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Total number of bytes requested
- getRequestedBytes() - Method in class org.tensorflow.framework.AllocationDescription
-
Total number of bytes requested
- getRequestedBytes() - Method in interface org.tensorflow.framework.AllocationDescriptionOrBuilder
-
Total number of bytes requested
- getRequestId() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Unique identifier for this request.
- getRequestId() - Method in class org.tensorflow.distruntime.RecvTensorRequest
-
Unique identifier for this request.
- getRequestId() - Method in interface org.tensorflow.distruntime.RecvTensorRequestOrBuilder
-
Unique identifier for this request.
- getRequiredBatchMemorySize() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
This method returns amount of memory required for batch creation for this specific Aggregate
- getRequiredBatchMemorySize() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- getReshapedWithShape(char, long, long, long, DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getReshapedWithShape(long, long, long, DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getResidualPlot(int) - Method in class org.nd4j.evaluation.classification.EvaluationCalibration
-
Get the residual plot, only for examples of the specified class..
- getResidualPlotAllClasses() - Method in class org.nd4j.evaluation.classification.EvaluationCalibration
-
Get the residual plot for all classes combined.
- getResourceHandleVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
- getResourceHandleVal(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_RESOURCE
- getResourceHandleVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_RESOURCE
- getResourceHandleValBuilder(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
- getResourceHandleValBuilderList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
- getResourceHandleValCount() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
- getResourceHandleValCount() - Method in class org.tensorflow.framework.TensorProto
-
DT_RESOURCE
- getResourceHandleValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_RESOURCE
- getResourceHandleValList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
- getResourceHandleValList() - Method in class org.tensorflow.framework.TensorProto
-
DT_RESOURCE
- getResourceHandleValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_RESOURCE
- getResourceHandleValOrBuilder(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
- getResourceHandleValOrBuilder(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_RESOURCE
- getResourceHandleValOrBuilder(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_RESOURCE
- getResourceHandleValOrBuilderList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
- getResourceHandleValOrBuilderList() - Method in class org.tensorflow.framework.TensorProto
-
DT_RESOURCE
- getResourceHandleValOrBuilderList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_RESOURCE
- getRestoreOpName() - Method in class org.tensorflow.util.SaverDef.Builder
-
The operation to run when restoring a model checkpoint.
- getRestoreOpName() - Method in class org.tensorflow.util.SaverDef
-
The operation to run when restoring a model checkpoint.
- getRestoreOpName() - Method in interface org.tensorflow.util.SaverDefOrBuilder
-
The operation to run when restoring a model checkpoint.
- getRestoreOpNameBytes() - Method in class org.tensorflow.util.SaverDef.Builder
-
The operation to run when restoring a model checkpoint.
- getRestoreOpNameBytes() - Method in class org.tensorflow.util.SaverDef
-
The operation to run when restoring a model checkpoint.
- getRestoreOpNameBytes() - Method in interface org.tensorflow.util.SaverDefOrBuilder
-
The operation to run when restoring a model checkpoint.
- getRet() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
Deprecated.
- getRet() - Method in class org.tensorflow.framework.FunctionDef
-
Deprecated.
- getRet() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
Deprecated.
- getRetCount() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
- getRetCount() - Method in class org.tensorflow.framework.FunctionDef
-
- getRetCount() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRetMap() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRetMap() - Method in class org.tensorflow.framework.FunctionDef
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRetMap() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRetOrDefault(String, String) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRetOrDefault(String, String) - Method in class org.tensorflow.framework.FunctionDef
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRetOrDefault(String, String) - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRetOrThrow(String) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRetOrThrow(String) - Method in class org.tensorflow.framework.FunctionDef
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRetOrThrow(String) - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRewindPosition(String) - Method in class org.nd4j.autodiff.samediff.flow.FlowPath
-
This method returns planned position within graph for next rewind.
- getRewriteOptions() - Method in class org.tensorflow.framework.GraphOptions.Builder
-
Options that control the type and amount of graph rewriting.
- getRewriteOptions() - Method in class org.tensorflow.framework.GraphOptions
-
Options that control the type and amount of graph rewriting.
- getRewriteOptions() - Method in interface org.tensorflow.framework.GraphOptionsOrBuilder
-
Options that control the type and amount of graph rewriting.
- getRewriteOptionsBuilder() - Method in class org.tensorflow.framework.GraphOptions.Builder
-
Options that control the type and amount of graph rewriting.
- getRewriteOptionsOrBuilder() - Method in class org.tensorflow.framework.GraphOptions.Builder
-
Options that control the type and amount of graph rewriting.
- getRewriteOptionsOrBuilder() - Method in class org.tensorflow.framework.GraphOptions
-
Options that control the type and amount of graph rewriting.
- getRewriteOptionsOrBuilder() - Method in interface org.tensorflow.framework.GraphOptionsOrBuilder
-
Options that control the type and amount of graph rewriting.
- getrf(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- getrf(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLapack
-
- getrf(INDArray) - Method in interface org.nd4j.linalg.api.blas.Lapack
-
LU decomposiiton of a matrix
Factorize a matrix A
The matrix A is overridden by the L & U combined.
- getri(int, INDArray, int, int[], INDArray, int, int) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLapack
-
- getri(int, INDArray, int, int[], INDArray, int, int) - Method in interface org.nd4j.linalg.api.blas.Lapack
-
Generate inverse ggiven LU decomp
- getRngStates() - Method in interface org.nd4j.linalg.api.ops.OpContext
-
This method returns RNG states, root first node second
- getROC(int) - Method in class org.nd4j.evaluation.classification.ROCBinary
-
Get the ROC object for the specific column
- getROCBinary() - Method in class org.nd4j.evaluation.classification.EvaluationBinary
-
- getRocCurve() - Method in class org.nd4j.evaluation.classification.ROC
-
Get the ROC curve, as a set of (threshold, falsePositive, truePositive) points
- getRocCurve(int) - Method in class org.nd4j.evaluation.classification.ROCBinary
-
Get the ROC curve for the specified output
- getRocCurve(int) - Method in class org.nd4j.evaluation.classification.ROCMultiClass
-
Get the (one vs.
- getRootAsFlatArray(ByteBuffer) - Static method in class org.nd4j.graph.FlatArray
-
- getRootAsFlatArray(ByteBuffer, FlatArray) - Static method in class org.nd4j.graph.FlatArray
-
- getRootAsFlatArrayList(ByteBuffer) - Static method in class org.nd4j.graph.FlatArrayList
-
- getRootAsFlatArrayList(ByteBuffer, FlatArrayList) - Static method in class org.nd4j.graph.FlatArrayList
-
- getRootAsFlatConfiguration(ByteBuffer) - Static method in class org.nd4j.graph.FlatConfiguration
-
- getRootAsFlatConfiguration(ByteBuffer, FlatConfiguration) - Static method in class org.nd4j.graph.FlatConfiguration
-
- getRootAsFlatDropRequest(ByteBuffer) - Static method in class org.nd4j.graph.FlatDropRequest
-
- getRootAsFlatDropRequest(ByteBuffer, FlatDropRequest) - Static method in class org.nd4j.graph.FlatDropRequest
-
- getRootAsFlatGraph(ByteBuffer) - Static method in class org.nd4j.graph.FlatGraph
-
- getRootAsFlatGraph(ByteBuffer, FlatGraph) - Static method in class org.nd4j.graph.FlatGraph
-
- getRootAsFlatInferenceRequest(ByteBuffer) - Static method in class org.nd4j.graph.FlatInferenceRequest
-
- getRootAsFlatInferenceRequest(ByteBuffer, FlatInferenceRequest) - Static method in class org.nd4j.graph.FlatInferenceRequest
-
- getRootAsFlatNode(ByteBuffer) - Static method in class org.nd4j.graph.FlatNode
-
- getRootAsFlatNode(ByteBuffer, FlatNode) - Static method in class org.nd4j.graph.FlatNode
-
- getRootAsFlatProperties(ByteBuffer) - Static method in class org.nd4j.graph.FlatProperties
-
- getRootAsFlatProperties(ByteBuffer, FlatProperties) - Static method in class org.nd4j.graph.FlatProperties
-
- getRootAsFlatResponse(ByteBuffer) - Static method in class org.nd4j.graph.FlatResponse
-
- getRootAsFlatResponse(ByteBuffer, FlatResponse) - Static method in class org.nd4j.graph.FlatResponse
-
- getRootAsFlatResult(ByteBuffer) - Static method in class org.nd4j.graph.FlatResult
-
- getRootAsFlatResult(ByteBuffer, FlatResult) - Static method in class org.nd4j.graph.FlatResult
-
- getRootAsFlatTiming(ByteBuffer) - Static method in class org.nd4j.graph.FlatTiming
-
- getRootAsFlatTiming(ByteBuffer, FlatTiming) - Static method in class org.nd4j.graph.FlatTiming
-
- getRootAsFlatVariable(ByteBuffer) - Static method in class org.nd4j.graph.FlatVariable
-
- getRootAsFlatVariable(ByteBuffer, FlatVariable) - Static method in class org.nd4j.graph.FlatVariable
-
- getRootAsFrameIteration(ByteBuffer) - Static method in class org.nd4j.graph.FrameIteration
-
- getRootAsFrameIteration(ByteBuffer, FrameIteration) - Static method in class org.nd4j.graph.FrameIteration
-
- getRootAsIntPair(ByteBuffer) - Static method in class org.nd4j.graph.IntPair
-
- getRootAsIntPair(ByteBuffer, IntPair) - Static method in class org.nd4j.graph.IntPair
-
- getRootAsIntTriple(ByteBuffer) - Static method in class org.nd4j.graph.IntTriple
-
- getRootAsIntTriple(ByteBuffer, IntTriple) - Static method in class org.nd4j.graph.IntTriple
-
- getRootAsLongPair(ByteBuffer) - Static method in class org.nd4j.graph.LongPair
-
- getRootAsLongPair(ByteBuffer, LongPair) - Static method in class org.nd4j.graph.LongPair
-
- getRootAsLongTriple(ByteBuffer) - Static method in class org.nd4j.graph.LongTriple
-
- getRootAsLongTriple(ByteBuffer, LongTriple) - Static method in class org.nd4j.graph.LongTriple
-
- getRootAsUIAddName(ByteBuffer) - Static method in class org.nd4j.graph.UIAddName
-
- getRootAsUIAddName(ByteBuffer, UIAddName) - Static method in class org.nd4j.graph.UIAddName
-
- getRootAsUIEvent(ByteBuffer) - Static method in class org.nd4j.graph.UIEvent
-
- getRootAsUIEvent(ByteBuffer, UIEvent) - Static method in class org.nd4j.graph.UIEvent
-
- getRootAsUIGraphStructure(ByteBuffer) - Static method in class org.nd4j.graph.UIGraphStructure
-
- getRootAsUIGraphStructure(ByteBuffer, UIGraphStructure) - Static method in class org.nd4j.graph.UIGraphStructure
-
- getRootAsUIHardwareState(ByteBuffer) - Static method in class org.nd4j.graph.UIHardwareState
-
- getRootAsUIHardwareState(ByteBuffer, UIHardwareState) - Static method in class org.nd4j.graph.UIHardwareState
-
- getRootAsUIHistogram(ByteBuffer) - Static method in class org.nd4j.graph.UIHistogram
-
- getRootAsUIHistogram(ByteBuffer, UIHistogram) - Static method in class org.nd4j.graph.UIHistogram
-
- getRootAsUIOp(ByteBuffer) - Static method in class org.nd4j.graph.UIOp
-
- getRootAsUIOp(ByteBuffer, UIOp) - Static method in class org.nd4j.graph.UIOp
-
- getRootAsUIStaticInfoRecord(ByteBuffer) - Static method in class org.nd4j.graph.UIStaticInfoRecord
-
- getRootAsUIStaticInfoRecord(ByteBuffer, UIStaticInfoRecord) - Static method in class org.nd4j.graph.UIStaticInfoRecord
-
- getRootAsUISummaryStatistics(ByteBuffer) - Static method in class org.nd4j.graph.UISummaryStatistics
-
- getRootAsUISummaryStatistics(ByteBuffer, UISummaryStatistics) - Static method in class org.nd4j.graph.UISummaryStatistics
-
- getRootAsUISystemInfo(ByteBuffer) - Static method in class org.nd4j.graph.UISystemInfo
-
- getRootAsUISystemInfo(ByteBuffer, UISystemInfo) - Static method in class org.nd4j.graph.UISystemInfo
-
- getRootAsUIVariable(ByteBuffer) - Static method in class org.nd4j.graph.UIVariable
-
- getRootAsUIVariable(ByteBuffer, UIVariable) - Static method in class org.nd4j.graph.UIVariable
-
- getRootDir() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- getRow(long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Get a copy of a row.
- getRow(long, boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getRow(long) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getRow(long, boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getRow(long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the specified row as a 1D vector.
- getRow(long, boolean) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the specified row.
- getRows(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Get whole rows from the passed indices.
- getRows(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getRows(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get an INDArray comprised of the specified rows only.
- getRpcOptions() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Options that apply when this session uses the distributed runtime.
- getRpcOptions() - Method in class org.tensorflow.framework.ConfigProto
-
Options that apply when this session uses the distributed runtime.
- getRpcOptions() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
Options that apply when this session uses the distributed runtime.
- getRpcOptionsBuilder() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Options that apply when this session uses the distributed runtime.
- getRpcOptionsOrBuilder() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Options that apply when this session uses the distributed runtime.
- getRpcOptionsOrBuilder() - Method in class org.tensorflow.framework.ConfigProto
-
Options that apply when this session uses the distributed runtime.
- getRpcOptionsOrBuilder() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
Options that apply when this session uses the distributed runtime.
- getRunOptions() - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Options that will be applied to each run.
- getRunOptions() - Method in class org.tensorflow.framework.CallableOptions
-
Options that will be applied to each run.
- getRunOptions() - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder
-
Options that will be applied to each run.
- getRunOptionsBuilder() - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Options that will be applied to each run.
- getRunOptionsOrBuilder() - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Options that will be applied to each run.
- getRunOptionsOrBuilder() - Method in class org.tensorflow.framework.CallableOptions
-
Options that will be applied to each run.
- getRunOptionsOrBuilder() - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder
-
Options that will be applied to each run.
- getS() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
UTF-8 string
- getS() - Method in class onnx.OnnxMlProto3.AttributeProto
-
UTF-8 string
- getS() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
UTF-8 string
- getS() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
UTF-8 string
- getS() - Method in class onnx.OnnxProto3.AttributeProto
-
UTF-8 string
- getS() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
UTF-8 string
- getS() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"string"
- getS() - Method in class org.tensorflow.framework.AttrValue
-
"string"
- getS(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(string)"
- getS(int) - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(string)"
- getS(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(string)"
- getS() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
"string"
- getSameDiff() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray
-
- getSampleRate() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
Sample rate of the audio in Hz.
- getSampleRate() - Method in class org.tensorflow.framework.Summary.Audio
-
Sample rate of the audio in Hz.
- getSampleRate() - Method in interface org.tensorflow.framework.Summary.AudioOrBuilder
-
Sample rate of the audio in Hz.
- getSavedModelSchemaVersion() - Method in class org.tensorflow.framework.SavedModel.Builder
-
The schema version of the SavedModel instance.
- getSavedModelSchemaVersion() - Method in class org.tensorflow.framework.SavedModel
-
The schema version of the SavedModel instance.
- getSavedModelSchemaVersion() - Method in interface org.tensorflow.framework.SavedModelOrBuilder
-
The schema version of the SavedModel instance.
- getSaverDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
SaverDef.
- getSaverDef() - Method in class org.tensorflow.framework.MetaGraphDef
-
SaverDef.
- getSaverDef() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder
-
SaverDef.
- getSaverDefBuilder() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
SaverDef.
- getSaverDefOrBuilder() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
SaverDef.
- getSaverDefOrBuilder() - Method in class org.tensorflow.framework.MetaGraphDef
-
SaverDef.
- getSaverDefOrBuilder() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder
-
SaverDef.
- getSaveSliceInfoDef() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Support for saving variables as slices of a larger variable.
- getSaveSliceInfoDef() - Method in class org.tensorflow.framework.VariableDef
-
Support for saving variables as slices of a larger variable.
- getSaveSliceInfoDef() - Method in interface org.tensorflow.framework.VariableDefOrBuilder
-
Support for saving variables as slices of a larger variable.
- getSaveSliceInfoDefBuilder() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Support for saving variables as slices of a larger variable.
- getSaveSliceInfoDefOrBuilder() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Support for saving variables as slices of a larger variable.
- getSaveSliceInfoDefOrBuilder() - Method in class org.tensorflow.framework.VariableDef
-
Support for saving variables as slices of a larger variable.
- getSaveSliceInfoDefOrBuilder() - Method in interface org.tensorflow.framework.VariableDefOrBuilder
-
Support for saving variables as slices of a larger variable.
- getSaveTensorName() - Method in class org.tensorflow.util.SaverDef.Builder
-
The operation to run when saving a model checkpoint.
- getSaveTensorName() - Method in class org.tensorflow.util.SaverDef
-
The operation to run when saving a model checkpoint.
- getSaveTensorName() - Method in interface org.tensorflow.util.SaverDefOrBuilder
-
The operation to run when saving a model checkpoint.
- getSaveTensorNameBytes() - Method in class org.tensorflow.util.SaverDef.Builder
-
The operation to run when saving a model checkpoint.
- getSaveTensorNameBytes() - Method in class org.tensorflow.util.SaverDef
-
The operation to run when saving a model checkpoint.
- getSaveTensorNameBytes() - Method in interface org.tensorflow.util.SaverDefOrBuilder
-
The operation to run when saving a model checkpoint.
- getScalar(long, long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the element at the specified row/column
This will throw an exception if the
- getScalar(long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getScalar(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Fetch a particular number on a multi dimensional scale.
- getScalar(long...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getScalar(long, long) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getScalar(long) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getScalar(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getScalar(long...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getScalar(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getScalar(long...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getScalar(long, long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the element at the specified row/column
This will throw an exception if the
- getScalar(long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the element at the specified index
- getScalar(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the elements at the specified indices
- getScalar(long...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- getScalarAggregator() - Method in class org.nd4j.linalg.profiler.OpProfiler
-
- getScheduledMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 scheduled_micros = 9;
- getScheduledMicros() - Method in class org.tensorflow.framework.NodeExecStats
-
int64 scheduled_micros = 9;
- getScheduledMicros() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
int64 scheduled_micros = 9;
- getScomplexVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX64.
- getScomplexVal(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_COMPLEX64.
- getScomplexVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_COMPLEX64.
- getScomplexValCount() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX64.
- getScomplexValCount() - Method in class org.tensorflow.framework.TensorProto
-
DT_COMPLEX64.
- getScomplexValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_COMPLEX64.
- getScomplexValList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX64.
- getScomplexValList() - Method in class org.tensorflow.framework.TensorProto
-
DT_COMPLEX64.
- getScomplexValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_COMPLEX64.
- getScopedAllocatorOptimization() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Try to allocate some independent Op outputs contiguously in order to
merge or eliminate downstream Ops (off by default).
- getScopedAllocatorOptimization() - Method in class org.tensorflow.framework.RewriterConfig
-
Try to allocate some independent Op outputs contiguously in order to
merge or eliminate downstream Ops (off by default).
- getScopedAllocatorOptimization() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
Try to allocate some independent Op outputs contiguously in order to
merge or eliminate downstream Ops (off by default).
- getScopedAllocatorOptimizationValue() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Try to allocate some independent Op outputs contiguously in order to
merge or eliminate downstream Ops (off by default).
- getScopedAllocatorOptimizationValue() - Method in class org.tensorflow.framework.RewriterConfig
-
Try to allocate some independent Op outputs contiguously in order to
merge or eliminate downstream Ops (off by default).
- getScopedAllocatorOptimizationValue() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
Try to allocate some independent Op outputs contiguously in order to
merge or eliminate downstream Ops (off by default).
- getScopedAllocatorOpts() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
- getScopedAllocatorOpts() - Method in class org.tensorflow.framework.RewriterConfig
-
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
- getScopedAllocatorOpts() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
- getScopedAllocatorOptsBuilder() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
- getScopedAllocatorOptsOrBuilder() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
- getScopedAllocatorOptsOrBuilder() - Method in class org.tensorflow.framework.RewriterConfig
-
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
- getScopedAllocatorOptsOrBuilder() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
- getSCount() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(string)"
- getSCount() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(string)"
- getSCount() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(string)"
- getSecondOp() - Method in class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
-
- getSecondOp() - Method in interface org.nd4j.linalg.api.ops.MetaOp
-
- getSecondOpDescriptor() - Method in class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
-
- getSecondOpDescriptor() - Method in interface org.nd4j.linalg.api.ops.MetaOp
-
- getSeed() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- getSeed() - Method in interface org.nd4j.linalg.api.rng.Random
-
Gets the long
seed of the underlying
random number generator.
- getSegment() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
.onnx.TensorProto.Segment segment = 3;
- getSegment() - Method in class onnx.OnnxMlProto3.TensorProto
-
.onnx.TensorProto.Segment segment = 3;
- getSegment() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
.onnx.TensorProto.Segment segment = 3;
- getSegment() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
.onnx.TensorProto.Segment segment = 3;
- getSegment() - Method in class onnx.OnnxProto3.TensorProto
-
.onnx.TensorProto.Segment segment = 3;
- getSegment() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
.onnx.TensorProto.Segment segment = 3;
- getSegmentBuilder() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
.onnx.TensorProto.Segment segment = 3;
- getSegmentBuilder() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
.onnx.TensorProto.Segment segment = 3;
- getSegmentOrBuilder() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
.onnx.TensorProto.Segment segment = 3;
- getSegmentOrBuilder() - Method in class onnx.OnnxMlProto3.TensorProto
-
.onnx.TensorProto.Segment segment = 3;
- getSegmentOrBuilder() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
.onnx.TensorProto.Segment segment = 3;
- getSegmentOrBuilder() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
.onnx.TensorProto.Segment segment = 3;
- getSegmentOrBuilder() - Method in class onnx.OnnxProto3.TensorProto
-
.onnx.TensorProto.Segment segment = 3;
- getSegmentOrBuilder() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
.onnx.TensorProto.Segment segment = 3;
- getSend(int) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
Runs the graph.
- getSend(int) - Method in class org.tensorflow.distruntime.RunGraphRequest
-
Runs the graph.
- getSend(int) - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
Runs the graph.
- getSendBuilder(int) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
Runs the graph.
- getSendBuilderList() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
Runs the graph.
- getSendCount() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
Runs the graph.
- getSendCount() - Method in class org.tensorflow.distruntime.RunGraphRequest
-
Runs the graph.
- getSendCount() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
Runs the graph.
- getSendList() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
Runs the graph.
- getSendList() - Method in class org.tensorflow.distruntime.RunGraphRequest
-
Runs the graph.
- getSendList() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
Runs the graph.
- getSendOrBuilder(int) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
Runs the graph.
- getSendOrBuilder(int) - Method in class org.tensorflow.distruntime.RunGraphRequest
-
Runs the graph.
- getSendOrBuilder(int) - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
Runs the graph.
- getSendOrBuilderList() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
Runs the graph.
- getSendOrBuilderList() - Method in class org.tensorflow.distruntime.RunGraphRequest
-
Runs the graph.
- getSendOrBuilderList() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
Runs the graph.
- getSendStartMicros() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
-
Optional, for timeline.
- getSendStartMicros() - Method in class org.tensorflow.distruntime.RecvBufResponse
-
Optional, for timeline.
- getSendStartMicros() - Method in interface org.tensorflow.distruntime.RecvBufResponseOrBuilder
-
Optional, for timeline.
- getSendStartMicros() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
-
The time at which tensor was available and started to be returned.
- getSendStartMicros() - Method in class org.tensorflow.distruntime.RecvTensorResponse
-
The time at which tensor was available and started to be returned.
- getSendStartMicros() - Method in interface org.tensorflow.distruntime.RecvTensorResponseOrBuilder
-
The time at which tensor was available and started to be returned.
- getSequenceType() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a sequence.
- getSequenceType() - Method in class onnx.OnnxMlProto3.TypeProto
-
The type of a sequence.
- getSequenceType() - Method in interface onnx.OnnxMlProto3.TypeProtoOrBuilder
-
The type of a sequence.
- getSequenceTypeBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a sequence.
- getSequenceTypeOrBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a sequence.
- getSequenceTypeOrBuilder() - Method in class onnx.OnnxMlProto3.TypeProto
-
The type of a sequence.
- getSequenceTypeOrBuilder() - Method in interface onnx.OnnxMlProto3.TypeProtoOrBuilder
-
The type of a sequence.
- getSerializedExecutorParameters() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Parameters given to the executor
- getSerializedExecutorParameters() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Parameters given to the executor
- getSerializedExecutorParameters() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Parameters given to the executor
- getSerializedSize() - Method in class onnx.OnnxMlProto3.AttributeProto
-
- getSerializedSize() - Method in class onnx.OnnxMlProto3.GraphProto
-
- getSerializedSize() - Method in class onnx.OnnxMlProto3.ModelProto
-
- getSerializedSize() - Method in class onnx.OnnxMlProto3.NodeProto
-
- getSerializedSize() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto
-
- getSerializedSize() - Method in class onnx.OnnxMlProto3.StringStringEntryProto
-
- getSerializedSize() - Method in class onnx.OnnxMlProto3.TensorProto
-
- getSerializedSize() - Method in class onnx.OnnxMlProto3.TensorProto.Segment
-
- getSerializedSize() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
-
- getSerializedSize() - Method in class onnx.OnnxMlProto3.TensorShapeProto
-
- getSerializedSize() - Method in class onnx.OnnxMlProto3.TypeProto
-
- getSerializedSize() - Method in class onnx.OnnxMlProto3.TypeProto.Map
-
- getSerializedSize() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence
-
- getSerializedSize() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor
-
- getSerializedSize() - Method in class onnx.OnnxMlProto3.ValueInfoProto
-
- getSerializedSize() - Method in class onnx.OnnxOperatorsProto3.OperatorProto
-
- getSerializedSize() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
- getSerializedSize() - Method in class onnx.OnnxProto3.AttributeProto
-
- getSerializedSize() - Method in class onnx.OnnxProto3.GraphProto
-
- getSerializedSize() - Method in class onnx.OnnxProto3.ModelProto
-
- getSerializedSize() - Method in class onnx.OnnxProto3.NodeProto
-
- getSerializedSize() - Method in class onnx.OnnxProto3.OperatorSetIdProto
-
- getSerializedSize() - Method in class onnx.OnnxProto3.StringStringEntryProto
-
- getSerializedSize() - Method in class onnx.OnnxProto3.TensorProto
-
- getSerializedSize() - Method in class onnx.OnnxProto3.TensorProto.Segment
-
- getSerializedSize() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension
-
- getSerializedSize() - Method in class onnx.OnnxProto3.TensorShapeProto
-
- getSerializedSize() - Method in class onnx.OnnxProto3.TypeProto
-
- getSerializedSize() - Method in class onnx.OnnxProto3.TypeProto.Tensor
-
- getSerializedSize() - Method in class onnx.OnnxProto3.ValueInfoProto
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.CleanupAllRequest
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.CleanupAllResponse
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.CleanupGraphRequest
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.CleanupGraphResponse
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.CloseSessionRequest
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.CloseSessionResponse
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.ClusterDef
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.CompleteGroupRequest
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.CompleteGroupResponse
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.CreateSessionRequest
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.CreateSessionResponse
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.DeregisterGraphResponse
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.ExecutorOpts
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.ExtendSessionRequest
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.ExtendSessionResponse
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.GetStatusRequest
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.GetStatusResponse
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.JobDef
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.LabeledStepStats
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.ListDevicesRequest
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.ListDevicesResponse
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.LoggingRequest
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.LoggingResponse
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.MakeCallableRequest
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.MakeCallableResponse
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.RecvBufRequest
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.RecvBufResponse
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.RecvTensorRequest
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.RecvTensorResponse
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.RegisterGraphRequest
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.RegisterGraphResponse
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.ReleaseCallableResponse
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.ResetRequest
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.ResetResponse
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.RunCallableRequest
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.RunCallableResponse
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.RunGraphRequest
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.RunGraphResponse
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.RunStepRequest
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.RunStepResponse
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.ServerDef
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.StepSequence
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.TraceOpts
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.TracingRequest
-
- getSerializedSize() - Method in class org.tensorflow.distruntime.TracingResponse
-
- getSerializedSize() - Method in class org.tensorflow.framework.AllocationDescription
-
- getSerializedSize() - Method in class org.tensorflow.framework.AllocationRecord
-
- getSerializedSize() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
- getSerializedSize() - Method in class org.tensorflow.framework.ApiDef.Arg
-
- getSerializedSize() - Method in class org.tensorflow.framework.ApiDef.Attr
-
- getSerializedSize() - Method in class org.tensorflow.framework.ApiDef.Endpoint
-
- getSerializedSize() - Method in class org.tensorflow.framework.ApiDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.ApiDefs
-
- getSerializedSize() - Method in class org.tensorflow.framework.AssetFileDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.AttrValue
-
- getSerializedSize() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
- getSerializedSize() - Method in class org.tensorflow.framework.AutoParallelOptions
-
- getSerializedSize() - Method in class org.tensorflow.framework.CallableOptions
-
- getSerializedSize() - Method in class org.tensorflow.framework.CollectionDef.AnyList
-
- getSerializedSize() - Method in class org.tensorflow.framework.CollectionDef.BytesList
-
- getSerializedSize() - Method in class org.tensorflow.framework.CollectionDef.FloatList
-
- getSerializedSize() - Method in class org.tensorflow.framework.CollectionDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.CollectionDef.Int64List
-
- getSerializedSize() - Method in class org.tensorflow.framework.CollectionDef.NodeList
-
- getSerializedSize() - Method in class org.tensorflow.framework.CondContextDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.ConfigProto.Experimental
-
- getSerializedSize() - Method in class org.tensorflow.framework.ConfigProto
-
- getSerializedSize() - Method in class org.tensorflow.framework.ControlFlowContextDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.CostGraphDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
- getSerializedSize() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo
-
- getSerializedSize() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
- getSerializedSize() - Method in class org.tensorflow.framework.CriticalSectionDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.DebuggedSourceFile
-
- getSerializedSize() - Method in class org.tensorflow.framework.DebuggedSourceFiles
-
- getSerializedSize() - Method in class org.tensorflow.framework.DebugOptions
-
- getSerializedSize() - Method in class org.tensorflow.framework.DebugTensorWatch
-
- getSerializedSize() - Method in class org.tensorflow.framework.DeviceAttributes
-
- getSerializedSize() - Method in class org.tensorflow.framework.DeviceLocality
-
- getSerializedSize() - Method in class org.tensorflow.framework.DeviceStepStats
-
- getSerializedSize() - Method in class org.tensorflow.framework.FunctionDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.FunctionDefLibrary
-
- getSerializedSize() - Method in class org.tensorflow.framework.GPUOptions.Experimental
-
- getSerializedSize() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
-
- getSerializedSize() - Method in class org.tensorflow.framework.GPUOptions
-
- getSerializedSize() - Method in class org.tensorflow.framework.GradientDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.GraphDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.GraphOptions
-
- getSerializedSize() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo
-
- getSerializedSize() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo
-
- getSerializedSize() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
-
- getSerializedSize() - Method in class org.tensorflow.framework.GraphTransferInfo
-
- getSerializedSize() - Method in class org.tensorflow.framework.GraphTransferNodeInfo
-
- getSerializedSize() - Method in class org.tensorflow.framework.GraphTransferNodeInput
-
- getSerializedSize() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo
-
- getSerializedSize() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo
-
- getSerializedSize() - Method in class org.tensorflow.framework.HistogramProto
-
- getSerializedSize() - Method in class org.tensorflow.framework.InterconnectLink
-
- getSerializedSize() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint
-
- getSerializedSize() - Method in class org.tensorflow.framework.KernelDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.LocalLinks
-
- getSerializedSize() - Method in class org.tensorflow.framework.MemoryLogRawAllocation
-
- getSerializedSize() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation
-
- getSerializedSize() - Method in class org.tensorflow.framework.MemoryLogStep
-
- getSerializedSize() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation
-
- getSerializedSize() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation
-
- getSerializedSize() - Method in class org.tensorflow.framework.MemoryLogTensorOutput
-
- getSerializedSize() - Method in class org.tensorflow.framework.MemoryStats
-
- getSerializedSize() - Method in class org.tensorflow.framework.MetaGraphDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.NameAttrList
-
- getSerializedSize() - Method in class org.tensorflow.framework.NamedTensorProto
-
- getSerializedSize() - Method in class org.tensorflow.framework.NodeDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.NodeExecStats
-
- getSerializedSize() - Method in class org.tensorflow.framework.NodeOutput
-
- getSerializedSize() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.OpDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.OpDeprecation
-
- getSerializedSize() - Method in class org.tensorflow.framework.OpList
-
- getSerializedSize() - Method in class org.tensorflow.framework.OptimizerOptions
-
- getSerializedSize() - Method in class org.tensorflow.framework.QueueRunnerDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.ReaderBaseState
-
- getSerializedSize() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
- getSerializedSize() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
- getSerializedSize() - Method in class org.tensorflow.framework.ResourceHandleProto
-
- getSerializedSize() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
-
- getSerializedSize() - Method in class org.tensorflow.framework.RewriterConfig
-
- getSerializedSize() - Method in class org.tensorflow.framework.RPCOptions
-
- getSerializedSize() - Method in class org.tensorflow.framework.RunMetadata
-
- getSerializedSize() - Method in class org.tensorflow.framework.RunOptions.Experimental
-
- getSerializedSize() - Method in class org.tensorflow.framework.RunOptions
-
- getSerializedSize() - Method in class org.tensorflow.framework.SavedModel
-
- getSerializedSize() - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.ScopedAllocatorOptions
-
- getSerializedSize() - Method in class org.tensorflow.framework.SignatureDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.StepStats
-
- getSerializedSize() - Method in class org.tensorflow.framework.Summary.Audio
-
- getSerializedSize() - Method in class org.tensorflow.framework.Summary
-
- getSerializedSize() - Method in class org.tensorflow.framework.Summary.Image
-
- getSerializedSize() - Method in class org.tensorflow.framework.Summary.Value
-
- getSerializedSize() - Method in class org.tensorflow.framework.SummaryDescription
-
- getSerializedSize() - Method in class org.tensorflow.framework.SummaryMetadata
-
- getSerializedSize() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData
-
- getSerializedSize() - Method in class org.tensorflow.framework.TensorConnection
-
- getSerializedSize() - Method in class org.tensorflow.framework.TensorDescription
-
- getSerializedSize() - Method in class org.tensorflow.framework.TensorInfo.CooSparse
-
- getSerializedSize() - Method in class org.tensorflow.framework.TensorInfo
-
- getSerializedSize() - Method in class org.tensorflow.framework.TensorProto
-
- getSerializedSize() - Method in class org.tensorflow.framework.TensorShapeProto.Dim
-
- getSerializedSize() - Method in class org.tensorflow.framework.TensorShapeProto
-
- getSerializedSize() - Method in class org.tensorflow.framework.TensorSliceProto.Extent
-
- getSerializedSize() - Method in class org.tensorflow.framework.TensorSliceProto
-
- getSerializedSize() - Method in class org.tensorflow.framework.ThreadPoolOptionProto
-
- getSerializedSize() - Method in class org.tensorflow.framework.ValuesDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.VariableDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.VariantTensorDataProto
-
- getSerializedSize() - Method in class org.tensorflow.framework.VersionDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.WhileContextDef
-
- getSerializedSize() - Method in class org.tensorflow.util.BundleEntryProto
-
- getSerializedSize() - Method in class org.tensorflow.util.BundleHeaderProto
-
- getSerializedSize() - Method in class org.tensorflow.util.IteratorStateMetadata
-
- getSerializedSize() - Method in class org.tensorflow.util.SaverDef
-
- getSerializedSize() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
- getSerializedSize() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
-
- getSerializedSize() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
-
- getSerializedSize() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
-
- getSerializedSize() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
-
- getSerializedSize() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties
-
- getSerializedSize() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice
-
- getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
-
- getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
-
- getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
-
- getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
-
- getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
-
- getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
-
- getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
-
- getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
-
- getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation
-
- getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem
-
- getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
-
- getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
-
- getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
-
- getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
-
- getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
-
- getSerializedSize() - Method in class tensorflow.TransportOptions.RecvBufRespExtra
-
- getServerDef() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
Defines the configuration of a TensorFlow worker.
- getServerDef() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest
-
Defines the configuration of a TensorFlow worker.
- getServerDef() - Method in interface org.tensorflow.distruntime.CreateWorkerSessionRequestOrBuilder
-
Defines the configuration of a TensorFlow worker.
- getServerDef() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
Identifies the full cluster, and this particular worker's position within.
- getServerDef() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
-
Identifies the full cluster, and this particular worker's position within.
- getServerDef() - Method in interface tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder
-
Identifies the full cluster, and this particular worker's position within.
- getServerDefBuilder() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
Defines the configuration of a TensorFlow worker.
- getServerDefBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
Identifies the full cluster, and this particular worker's position within.
- getServerDefOrBuilder() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
Defines the configuration of a TensorFlow worker.
- getServerDefOrBuilder() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest
-
Defines the configuration of a TensorFlow worker.
- getServerDefOrBuilder() - Method in interface org.tensorflow.distruntime.CreateWorkerSessionRequestOrBuilder
-
Defines the configuration of a TensorFlow worker.
- getServerDefOrBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
Identifies the full cluster, and this particular worker's position within.
- getServerDefOrBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
-
Identifies the full cluster, and this particular worker's position within.
- getServerDefOrBuilder() - Method in interface tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder
-
Identifies the full cluster, and this particular worker's position within.
- getServerLocality() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional information on server-side device locality.
- getServerLocality() - Method in class org.tensorflow.distruntime.RecvBufRequest
-
Optional information on server-side device locality.
- getServerLocality() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
Optional information on server-side device locality.
- getServerLocality() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Optional information on server-side device locality.
- getServerLocality() - Method in class org.tensorflow.distruntime.RecvTensorRequest
-
Optional information on server-side device locality.
- getServerLocality() - Method in interface org.tensorflow.distruntime.RecvTensorRequestOrBuilder
-
Optional information on server-side device locality.
- getServerLocalityBuilder() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional information on server-side device locality.
- getServerLocalityBuilder() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Optional information on server-side device locality.
- getServerLocalityOrBuilder() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional information on server-side device locality.
- getServerLocalityOrBuilder() - Method in class org.tensorflow.distruntime.RecvBufRequest
-
Optional information on server-side device locality.
- getServerLocalityOrBuilder() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
Optional information on server-side device locality.
- getServerLocalityOrBuilder() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Optional information on server-side device locality.
- getServerLocalityOrBuilder() - Method in class org.tensorflow.distruntime.RecvTensorRequest
-
Optional information on server-side device locality.
- getServerLocalityOrBuilder() - Method in interface org.tensorflow.distruntime.RecvTensorRequestOrBuilder
-
Optional information on server-side device locality.
- getSessionHandle() - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - Method in class org.tensorflow.distruntime.CloseSessionRequest
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - Method in interface org.tensorflow.distruntime.CloseSessionRequestOrBuilder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder
-
The session handle to be used in subsequent calls for the created session.
- getSessionHandle() - Method in class org.tensorflow.distruntime.CreateSessionResponse
-
The session handle to be used in subsequent calls for the created session.
- getSessionHandle() - Method in interface org.tensorflow.distruntime.CreateSessionResponseOrBuilder
-
The session handle to be used in subsequent calls for the created session.
- getSessionHandle() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
Sessions are identified by a given handle.
- getSessionHandle() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest
-
Sessions are identified by a given handle.
- getSessionHandle() - Method in interface org.tensorflow.distruntime.CreateWorkerSessionRequestOrBuilder
-
Sessions are identified by a given handle.
- getSessionHandle() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
-
Sessions are identified by a given handle.
- getSessionHandle() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest
-
Sessions are identified by a given handle.
- getSessionHandle() - Method in interface org.tensorflow.distruntime.DeleteWorkerSessionRequestOrBuilder
-
Sessions are identified by a given handle.
- getSessionHandle() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
The session_handle used when registering the graph.
- getSessionHandle() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest
-
The session_handle used when registering the graph.
- getSessionHandle() - Method in interface org.tensorflow.distruntime.DeregisterGraphRequestOrBuilder
-
The session_handle used when registering the graph.
- getSessionHandle() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - Method in class org.tensorflow.distruntime.ExtendSessionRequest
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - Method in interface org.tensorflow.distruntime.ExtendSessionRequestOrBuilder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder
-
Optional: session_handle must be returned by a CreateSession call to the
same master service.
- getSessionHandle() - Method in class org.tensorflow.distruntime.ListDevicesRequest
-
Optional: session_handle must be returned by a CreateSession call to the
same master service.
- getSessionHandle() - Method in interface org.tensorflow.distruntime.ListDevicesRequestOrBuilder
-
Optional: session_handle must be returned by a CreateSession call to the
same master service.
- getSessionHandle() - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - Method in class org.tensorflow.distruntime.MakeCallableRequest
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - Method in interface org.tensorflow.distruntime.MakeCallableRequestOrBuilder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - Method in interface org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Subgraphs are scoped within one session.
- getSessionHandle() - Method in class org.tensorflow.distruntime.RegisterGraphRequest
-
Subgraphs are scoped within one session.
- getSessionHandle() - Method in interface org.tensorflow.distruntime.RegisterGraphRequestOrBuilder
-
Subgraphs are scoped within one session.
- getSessionHandle() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - Method in interface org.tensorflow.distruntime.ReleaseCallableRequestOrBuilder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - Method in class org.tensorflow.distruntime.RunCallableRequest
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - Method in interface org.tensorflow.distruntime.RunCallableRequestOrBuilder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
session_handle is the master-generated unique id for this session.
- getSessionHandle() - Method in class org.tensorflow.distruntime.RunGraphRequest
-
session_handle is the master-generated unique id for this session.
- getSessionHandle() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
session_handle is the master-generated unique id for this session.
- getSessionHandle() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - Method in class org.tensorflow.distruntime.RunStepRequest
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - Method in class org.tensorflow.distruntime.CloseSessionRequest
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - Method in interface org.tensorflow.distruntime.CloseSessionRequestOrBuilder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder
-
The session handle to be used in subsequent calls for the created session.
- getSessionHandleBytes() - Method in class org.tensorflow.distruntime.CreateSessionResponse
-
The session handle to be used in subsequent calls for the created session.
- getSessionHandleBytes() - Method in interface org.tensorflow.distruntime.CreateSessionResponseOrBuilder
-
The session handle to be used in subsequent calls for the created session.
- getSessionHandleBytes() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
Sessions are identified by a given handle.
- getSessionHandleBytes() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest
-
Sessions are identified by a given handle.
- getSessionHandleBytes() - Method in interface org.tensorflow.distruntime.CreateWorkerSessionRequestOrBuilder
-
Sessions are identified by a given handle.
- getSessionHandleBytes() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
-
Sessions are identified by a given handle.
- getSessionHandleBytes() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest
-
Sessions are identified by a given handle.
- getSessionHandleBytes() - Method in interface org.tensorflow.distruntime.DeleteWorkerSessionRequestOrBuilder
-
Sessions are identified by a given handle.
- getSessionHandleBytes() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
The session_handle used when registering the graph.
- getSessionHandleBytes() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest
-
The session_handle used when registering the graph.
- getSessionHandleBytes() - Method in interface org.tensorflow.distruntime.DeregisterGraphRequestOrBuilder
-
The session_handle used when registering the graph.
- getSessionHandleBytes() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - Method in class org.tensorflow.distruntime.ExtendSessionRequest
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - Method in interface org.tensorflow.distruntime.ExtendSessionRequestOrBuilder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder
-
Optional: session_handle must be returned by a CreateSession call to the
same master service.
- getSessionHandleBytes() - Method in class org.tensorflow.distruntime.ListDevicesRequest
-
Optional: session_handle must be returned by a CreateSession call to the
same master service.
- getSessionHandleBytes() - Method in interface org.tensorflow.distruntime.ListDevicesRequestOrBuilder
-
Optional: session_handle must be returned by a CreateSession call to the
same master service.
- getSessionHandleBytes() - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - Method in class org.tensorflow.distruntime.MakeCallableRequest
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - Method in interface org.tensorflow.distruntime.MakeCallableRequestOrBuilder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - Method in interface org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Subgraphs are scoped within one session.
- getSessionHandleBytes() - Method in class org.tensorflow.distruntime.RegisterGraphRequest
-
Subgraphs are scoped within one session.
- getSessionHandleBytes() - Method in interface org.tensorflow.distruntime.RegisterGraphRequestOrBuilder
-
Subgraphs are scoped within one session.
- getSessionHandleBytes() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - Method in interface org.tensorflow.distruntime.ReleaseCallableRequestOrBuilder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - Method in class org.tensorflow.distruntime.RunCallableRequest
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - Method in interface org.tensorflow.distruntime.RunCallableRequestOrBuilder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
session_handle is the master-generated unique id for this session.
- getSessionHandleBytes() - Method in class org.tensorflow.distruntime.RunGraphRequest
-
session_handle is the master-generated unique id for this session.
- getSessionHandleBytes() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
session_handle is the master-generated unique id for this session.
- getSessionHandleBytes() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - Method in class org.tensorflow.distruntime.RunStepRequest
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionInterOpThreadPool(int) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPool(int) - Method in class org.tensorflow.framework.ConfigProto
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPool(int) - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPoolBuilder(int) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPoolBuilderList() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPoolCount() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPoolCount() - Method in class org.tensorflow.framework.ConfigProto
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPoolCount() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPoolList() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPoolList() - Method in class org.tensorflow.framework.ConfigProto
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPoolList() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPoolOrBuilder(int) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPoolOrBuilder(int) - Method in class org.tensorflow.framework.ConfigProto
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPoolOrBuilder(int) - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPoolOrBuilderList() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPoolOrBuilderList() - Method in class org.tensorflow.framework.ConfigProto
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPoolOrBuilderList() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getShape() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
.onnx.TensorShapeProto shape = 2;
- getShape() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor
-
.onnx.TensorShapeProto shape = 2;
- getShape() - Method in interface onnx.OnnxMlProto3.TypeProto.TensorOrBuilder
-
.onnx.TensorShapeProto shape = 2;
- getShape() - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
.onnx.TensorShapeProto shape = 2;
- getShape() - Method in class onnx.OnnxProto3.TypeProto.Tensor
-
.onnx.TensorShapeProto shape = 2;
- getShape() - Method in interface onnx.OnnxProto3.TypeProto.TensorOrBuilder
-
.onnx.TensorShapeProto shape = 2;
- getShape() - Method in class org.nd4j.autodiff.samediff.SDVariable
-
Returns the shape of this variable
- getShape(NODE_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
- getShape(OnnxProto3.NodeProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getShape(NodeDef) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getShape() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
.tensorflow.TensorShapeProto shape = 4;
- getShape() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest
-
.tensorflow.TensorShapeProto shape = 4;
- getShape() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
.tensorflow.TensorShapeProto shape = 4;
- getShape() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"shape"
- getShape() - Method in class org.tensorflow.framework.AttrValue
-
"shape"
- getShape(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
- getShape(int) - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(shape)"
- getShape(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(shape)"
- getShape() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
"shape"
- getShape() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
.tensorflow.TensorShapeProto shape = 3;
- getShape() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
.tensorflow.TensorShapeProto shape = 3;
- getShape() - Method in interface org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder
-
.tensorflow.TensorShapeProto shape = 3;
- getShape(int) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
repeated int64 shape = 3;
- getShape(int) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo
-
repeated int64 shape = 3;
- getShape(int) - Method in interface org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder
-
repeated int64 shape = 3;
- getShape(int) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
repeated int64 shape = 2;
- getShape(int) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo
-
repeated int64 shape = 2;
- getShape(int) - Method in interface org.tensorflow.framework.GraphTransferGraphInputNodeInfoOrBuilder
-
repeated int64 shape = 2;
- getShape(int) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
repeated int64 shape = 2;
- getShape(int) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
-
repeated int64 shape = 2;
- getShape(int) - Method in interface org.tensorflow.framework.GraphTransferGraphOutputNodeInfoOrBuilder
-
repeated int64 shape = 2;
- getShape() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
.tensorflow.TensorShapeProto shape = 2;
- getShape() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
.tensorflow.TensorShapeProto shape = 2;
- getShape() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder
-
.tensorflow.TensorShapeProto shape = 2;
- getShape() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Shape of the tensor.
- getShape() - Method in class org.tensorflow.framework.TensorDescription
-
Shape of the tensor.
- getShape() - Method in interface org.tensorflow.framework.TensorDescriptionOrBuilder
-
Shape of the tensor.
- getShape() - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
.tensorflow.TensorShapeProto shape = 2;
- getShape() - Method in class org.tensorflow.util.BundleEntryProto
-
.tensorflow.TensorShapeProto shape = 2;
- getShape() - Method in interface org.tensorflow.util.BundleEntryProtoOrBuilder
-
.tensorflow.TensorShapeProto shape = 2;
- getShapeBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
.onnx.TensorShapeProto shape = 2;
- getShapeBuilder() - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
.onnx.TensorShapeProto shape = 2;
- getShapeBuilder() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
.tensorflow.TensorShapeProto shape = 4;
- getShapeBuilder() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"shape"
- getShapeBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
- getShapeBuilder() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
.tensorflow.TensorShapeProto shape = 3;
- getShapeBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
.tensorflow.TensorShapeProto shape = 2;
- getShapeBuilder() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Shape of the tensor.
- getShapeBuilder() - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
.tensorflow.TensorShapeProto shape = 2;
- getShapeBuilderList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
- getShapeCount() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
- getShapeCount() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(shape)"
- getShapeCount() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(shape)"
- getShapeCount() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
repeated int64 shape = 3;
- getShapeCount() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo
-
repeated int64 shape = 3;
- getShapeCount() - Method in interface org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder
-
repeated int64 shape = 3;
- getShapeCount() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
repeated int64 shape = 2;
- getShapeCount() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo
-
repeated int64 shape = 2;
- getShapeCount() - Method in interface org.tensorflow.framework.GraphTransferGraphInputNodeInfoOrBuilder
-
repeated int64 shape = 2;
- getShapeCount() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
repeated int64 shape = 2;
- getShapeCount() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
-
repeated int64 shape = 2;
- getShapeCount() - Method in interface org.tensorflow.framework.GraphTransferGraphOutputNodeInfoOrBuilder
-
repeated int64 shape = 2;
- getShapeDescriptor() - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- getShapeDescriptorForVarName(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- getShapeForVarName(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Get the shape for the given vertex id.
- getShapeFromAttr(ATTR_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
Get the shape of the attribute value
- getShapeFromAttr(OnnxProto3.AttributeProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getShapeFromAttr(AttrValue) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getShapeFromAttribute(ATTR_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
- getShapeFromAttribute(OnnxProto3.AttributeProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getShapeFromAttribute(AttrValue) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getShapeFromTensor(TENSOR_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
Get the shape for the given tensor type
- getShapeFromTensor(OnnxProto3.TypeProto.Tensor) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getShapeFromTensor(OnnxProto3.TensorProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
Get the shape from a tensor proto.
- getShapeFromTensor(NodeDef) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getShapeInfoProvider() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getShapeList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
- getShapeList() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(shape)"
- getShapeList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(shape)"
- getShapeList() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
repeated int64 shape = 3;
- getShapeList() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo
-
repeated int64 shape = 3;
- getShapeList() - Method in interface org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder
-
repeated int64 shape = 3;
- getShapeList() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
repeated int64 shape = 2;
- getShapeList() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo
-
repeated int64 shape = 2;
- getShapeList() - Method in interface org.tensorflow.framework.GraphTransferGraphInputNodeInfoOrBuilder
-
repeated int64 shape = 2;
- getShapeList() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
repeated int64 shape = 2;
- getShapeList() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
-
repeated int64 shape = 2;
- getShapeList() - Method in interface org.tensorflow.framework.GraphTransferGraphOutputNodeInfoOrBuilder
-
repeated int64 shape = 2;
- getShapeOptimization() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Shape optimizations (default is ON)
Simplify computations made on shapes.
- getShapeOptimization() - Method in class org.tensorflow.framework.RewriterConfig
-
Shape optimizations (default is ON)
Simplify computations made on shapes.
- getShapeOptimization() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
Shape optimizations (default is ON)
Simplify computations made on shapes.
- getShapeOptimizationValue() - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Shape optimizations (default is ON)
Simplify computations made on shapes.
- getShapeOptimizationValue() - Method in class org.tensorflow.framework.RewriterConfig
-
Shape optimizations (default is ON)
Simplify computations made on shapes.
- getShapeOptimizationValue() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder
-
Shape optimizations (default is ON)
Simplify computations made on shapes.
- getShapeOrBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
.onnx.TensorShapeProto shape = 2;
- getShapeOrBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor
-
.onnx.TensorShapeProto shape = 2;
- getShapeOrBuilder() - Method in interface onnx.OnnxMlProto3.TypeProto.TensorOrBuilder
-
.onnx.TensorShapeProto shape = 2;
- getShapeOrBuilder() - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
.onnx.TensorShapeProto shape = 2;
- getShapeOrBuilder() - Method in class onnx.OnnxProto3.TypeProto.Tensor
-
.onnx.TensorShapeProto shape = 2;
- getShapeOrBuilder() - Method in interface onnx.OnnxProto3.TypeProto.TensorOrBuilder
-
.onnx.TensorShapeProto shape = 2;
- getShapeOrBuilder() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
.tensorflow.TensorShapeProto shape = 4;
- getShapeOrBuilder() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest
-
.tensorflow.TensorShapeProto shape = 4;
- getShapeOrBuilder() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
.tensorflow.TensorShapeProto shape = 4;
- getShapeOrBuilder() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"shape"
- getShapeOrBuilder() - Method in class org.tensorflow.framework.AttrValue
-
"shape"
- getShapeOrBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
- getShapeOrBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(shape)"
- getShapeOrBuilder(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(shape)"
- getShapeOrBuilder() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
"shape"
- getShapeOrBuilder() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
.tensorflow.TensorShapeProto shape = 3;
- getShapeOrBuilder() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
.tensorflow.TensorShapeProto shape = 3;
- getShapeOrBuilder() - Method in interface org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder
-
.tensorflow.TensorShapeProto shape = 3;
- getShapeOrBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
.tensorflow.TensorShapeProto shape = 2;
- getShapeOrBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
.tensorflow.TensorShapeProto shape = 2;
- getShapeOrBuilder() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder
-
.tensorflow.TensorShapeProto shape = 2;
- getShapeOrBuilder() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Shape of the tensor.
- getShapeOrBuilder() - Method in class org.tensorflow.framework.TensorDescription
-
Shape of the tensor.
- getShapeOrBuilder() - Method in interface org.tensorflow.framework.TensorDescriptionOrBuilder
-
Shape of the tensor.
- getShapeOrBuilder() - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
.tensorflow.TensorShapeProto shape = 2;
- getShapeOrBuilder() - Method in class org.tensorflow.util.BundleEntryProto
-
.tensorflow.TensorShapeProto shape = 2;
- getShapeOrBuilder() - Method in interface org.tensorflow.util.BundleEntryProtoOrBuilder
-
.tensorflow.TensorShapeProto shape = 2;
- getShapeOrBuilderList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
- getShapeOrBuilderList() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(shape)"
- getShapeOrBuilderList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(shape)"
- getShapes() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
- getShapes() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- getSharded() - Method in class org.tensorflow.util.SaverDef.Builder
-
Shard the save files, one per device that has Variable nodes.
- getSharded() - Method in class org.tensorflow.util.SaverDef
-
Shard the save files, one per device that has Variable nodes.
- getSharded() - Method in interface org.tensorflow.util.SaverDefOrBuilder
-
Shard the save files, one per device that has Variable nodes.
- getShardId() - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
The binary content of the tensor lies in:
File "shard_id": bytes [offset, offset + size).
- getShardId() - Method in class org.tensorflow.util.BundleEntryProto
-
The binary content of the tensor lies in:
File "shard_id": bytes [offset, offset + size).
- getShardId() - Method in interface org.tensorflow.util.BundleEntryProtoOrBuilder
-
The binary content of the tensor lies in:
File "shard_id": bytes [offset, offset + size).
- getSharedMemorySize() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
This method returns amount of shared memory required for this specific Aggregate.
- getSharedMemorySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy
-
This method returns amount of shared memory required for this specific Aggregate.
- getSharedMemorySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateCBOW
-
- getSharedMemorySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateDot
-
This method returns amount of shared memory required for this specific Aggregate.
- getSharedMemorySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM
-
- getSharedMemorySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
-
This method returns amount of shared memory required for this specific Aggregate.
- getSharedMemorySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.HierarchicSoftmax
-
This method returns amount of shared memory required for this specific Aggregate.
- getSharedMemorySizePerMultiprocessor() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Shared memory size per multiprocessor in bytes.
- getSharedMemorySizePerMultiprocessor() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties
-
Shared memory size per multiprocessor in bytes.
- getSharedMemorySizePerMultiprocessor() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Shared memory size per multiprocessor in bytes.
- getSignature() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
The definition of the function's name, arguments, return values,
attrs etc.
- getSignature() - Method in class org.tensorflow.framework.FunctionDef
-
The definition of the function's name, arguments, return values,
attrs etc.
- getSignature() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
The definition of the function's name, arguments, return values,
attrs etc.
- getSignatureBuilder() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
The definition of the function's name, arguments, return values,
attrs etc.
- getSignatureDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
Deprecated.
- getSignatureDef() - Method in class org.tensorflow.framework.MetaGraphDef
-
Deprecated.
- getSignatureDef() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder
-
Deprecated.
- getSignatureDefCount() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
- getSignatureDefCount() - Method in class org.tensorflow.framework.MetaGraphDef
-
- getSignatureDefCount() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder
-
signature_def: Map from user supplied key for a signature to a single
SignatureDef.
- getSignatureDefMap() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
signature_def: Map from user supplied key for a signature to a single
SignatureDef.
- getSignatureDefMap() - Method in class org.tensorflow.framework.MetaGraphDef
-
signature_def: Map from user supplied key for a signature to a single
SignatureDef.
- getSignatureDefMap() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder
-
signature_def: Map from user supplied key for a signature to a single
SignatureDef.
- getSignatureDefOrDefault(String, SignatureDef) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
signature_def: Map from user supplied key for a signature to a single
SignatureDef.
- getSignatureDefOrDefault(String, SignatureDef) - Method in class org.tensorflow.framework.MetaGraphDef
-
signature_def: Map from user supplied key for a signature to a single
SignatureDef.
- getSignatureDefOrDefault(String, SignatureDef) - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder
-
signature_def: Map from user supplied key for a signature to a single
SignatureDef.
- getSignatureDefOrThrow(String) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
signature_def: Map from user supplied key for a signature to a single
SignatureDef.
- getSignatureDefOrThrow(String) - Method in class org.tensorflow.framework.MetaGraphDef
-
signature_def: Map from user supplied key for a signature to a single
SignatureDef.
- getSignatureDefOrThrow(String) - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder
-
signature_def: Map from user supplied key for a signature to a single
SignatureDef.
- getSignatureOrBuilder() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
The definition of the function's name, arguments, return values,
attrs etc.
- getSignatureOrBuilder() - Method in class org.tensorflow.framework.FunctionDef
-
The definition of the function's name, arguments, return values,
attrs etc.
- getSignatureOrBuilder() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
The definition of the function's name, arguments, return values,
attrs etc.
- getSimpleValue() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
float simple_value = 2;
- getSimpleValue() - Method in class org.tensorflow.framework.Summary.Value
-
float simple_value = 2;
- getSimpleValue() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
float simple_value = 2;
- getSinceVersion() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
The version of the operator set that first introduced this
operator.
- getSinceVersion() - Method in class onnx.OnnxOperatorsProto3.OperatorProto
-
The version of the operator set that first introduced this
operator.
- getSinceVersion() - Method in interface onnx.OnnxOperatorsProto3.OperatorProtoOrBuilder
-
The version of the operator set that first introduced this
operator.
- getSize() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
int64 size = 1;
- getSize() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
int64 size = 1;
- getSize() - Method in interface org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder
-
int64 size = 1;
- getSize() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
Size of the tensor in that dimension.
- getSize() - Method in class org.tensorflow.framework.TensorShapeProto.Dim
-
Size of the tensor in that dimension.
- getSize() - Method in interface org.tensorflow.framework.TensorShapeProto.DimOrBuilder
-
Size of the tensor in that dimension.
- getSize() - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
int64 size = 5;
- getSize() - Method in class org.tensorflow.util.BundleEntryProto
-
int64 size = 5;
- getSize() - Method in interface org.tensorflow.util.BundleEntryProtoOrBuilder
-
int64 size = 5;
- getSlices(int) - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
Iff present, this entry represents a partitioned tensor.
- getSlices(int) - Method in class org.tensorflow.util.BundleEntryProto
-
Iff present, this entry represents a partitioned tensor.
- getSlices(int) - Method in interface org.tensorflow.util.BundleEntryProtoOrBuilder
-
Iff present, this entry represents a partitioned tensor.
- getSlicesBuilder(int) - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
Iff present, this entry represents a partitioned tensor.
- getSlicesBuilderList() - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
Iff present, this entry represents a partitioned tensor.
- getSlicesCount() - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
Iff present, this entry represents a partitioned tensor.
- getSlicesCount() - Method in class org.tensorflow.util.BundleEntryProto
-
Iff present, this entry represents a partitioned tensor.
- getSlicesCount() - Method in interface org.tensorflow.util.BundleEntryProtoOrBuilder
-
Iff present, this entry represents a partitioned tensor.
- getSlicesList() - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
Iff present, this entry represents a partitioned tensor.
- getSlicesList() - Method in class org.tensorflow.util.BundleEntryProto
-
Iff present, this entry represents a partitioned tensor.
- getSlicesList() - Method in interface org.tensorflow.util.BundleEntryProtoOrBuilder
-
Iff present, this entry represents a partitioned tensor.
- getSlicesOrBuilder(int) - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
Iff present, this entry represents a partitioned tensor.
- getSlicesOrBuilder(int) - Method in class org.tensorflow.util.BundleEntryProto
-
Iff present, this entry represents a partitioned tensor.
- getSlicesOrBuilder(int) - Method in interface org.tensorflow.util.BundleEntryProtoOrBuilder
-
Iff present, this entry represents a partitioned tensor.
- getSlicesOrBuilderList() - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
Iff present, this entry represents a partitioned tensor.
- getSlicesOrBuilderList() - Method in class org.tensorflow.util.BundleEntryProto
-
Iff present, this entry represents a partitioned tensor.
- getSlicesOrBuilderList() - Method in interface org.tensorflow.util.BundleEntryProtoOrBuilder
-
Iff present, this entry represents a partitioned tensor.
- getSList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(string)"
- getSList() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(string)"
- getSList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(string)"
- getSlot() - Method in class org.tensorflow.framework.NodeOutput.Builder
-
int32 slot = 1;
- getSlot() - Method in class org.tensorflow.framework.NodeOutput
-
int32 slot = 1;
- getSlot() - Method in interface org.tensorflow.framework.NodeOutputOrBuilder
-
int32 slot = 1;
- getSlotName() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
-
The name of the slot (e.g.
- getSlotName() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
-
The name of the slot (e.g.
- getSlotName() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReferenceOrBuilder
-
The name of the slot (e.g.
- getSlotNameBytes() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
-
The name of the slot (e.g.
- getSlotNameBytes() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
-
The name of the slot (e.g.
- getSlotNameBytes() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReferenceOrBuilder
-
The name of the slot (e.g.
- getSlotVariableNodeId() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
-
An index into `CheckpointableObjectGraph.nodes`, indicating the
`Object` with the value of the slot variable.
- getSlotVariableNodeId() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
-
An index into `CheckpointableObjectGraph.nodes`, indicating the
`Object` with the value of the slot variable.
- getSlotVariableNodeId() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReferenceOrBuilder
-
An index into `CheckpointableObjectGraph.nodes`, indicating the
`Object` with the value of the slot variable.
- getSlotVariables(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Slot variables owned by this object.
- getSlotVariables(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Slot variables owned by this object.
- getSlotVariables(int) - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Slot variables owned by this object.
- getSlotVariablesBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Slot variables owned by this object.
- getSlotVariablesBuilderList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Slot variables owned by this object.
- getSlotVariablesCount() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Slot variables owned by this object.
- getSlotVariablesCount() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Slot variables owned by this object.
- getSlotVariablesCount() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Slot variables owned by this object.
- getSlotVariablesList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Slot variables owned by this object.
- getSlotVariablesList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Slot variables owned by this object.
- getSlotVariablesList() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Slot variables owned by this object.
- getSlotVariablesOrBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Slot variables owned by this object.
- getSlotVariablesOrBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Slot variables owned by this object.
- getSlotVariablesOrBuilder(int) - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Slot variables owned by this object.
- getSlotVariablesOrBuilderList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Slot variables owned by this object.
- getSlotVariablesOrBuilderList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Slot variables owned by this object.
- getSlotVariablesOrBuilderList() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Slot variables owned by this object.
- getSnapshotName() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the snapshot tensor.
- getSnapshotName() - Method in class org.tensorflow.framework.VariableDef
-
Name of the snapshot tensor.
- getSnapshotName() - Method in interface org.tensorflow.framework.VariableDefOrBuilder
-
Name of the snapshot tensor.
- getSnapshotNameBytes() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the snapshot tensor.
- getSnapshotNameBytes() - Method in class org.tensorflow.framework.VariableDef
-
Name of the snapshot tensor.
- getSnapshotNameBytes() - Method in interface org.tensorflow.framework.VariableDefOrBuilder
-
Name of the snapshot tensor.
- getSocOpId() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
int32 soc_op_id = 4;
- getSocOpId() - Method in class org.tensorflow.framework.GraphTransferNodeInfo
-
int32 soc_op_id = 4;
- getSocOpId() - Method in interface org.tensorflow.framework.GraphTransferNodeInfoOrBuilder
-
int32 soc_op_id = 4;
- getSolverAbsoluteAccuracy() - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSourceFiles(int) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
-
A collection of source code files.
- getSourceFiles(int) - Method in class org.tensorflow.framework.DebuggedSourceFiles
-
A collection of source code files.
- getSourceFiles(int) - Method in interface org.tensorflow.framework.DebuggedSourceFilesOrBuilder
-
A collection of source code files.
- getSourceFilesBuilder(int) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
-
A collection of source code files.
- getSourceFilesBuilderList() - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
-
A collection of source code files.
- getSourceFilesCount() - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
-
A collection of source code files.
- getSourceFilesCount() - Method in class org.tensorflow.framework.DebuggedSourceFiles
-
A collection of source code files.
- getSourceFilesCount() - Method in interface org.tensorflow.framework.DebuggedSourceFilesOrBuilder
-
A collection of source code files.
- getSourceFilesList() - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
-
A collection of source code files.
- getSourceFilesList() - Method in class org.tensorflow.framework.DebuggedSourceFiles
-
A collection of source code files.
- getSourceFilesList() - Method in interface org.tensorflow.framework.DebuggedSourceFilesOrBuilder
-
A collection of source code files.
- getSourceFilesOrBuilder(int) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
-
A collection of source code files.
- getSourceFilesOrBuilder(int) - Method in class org.tensorflow.framework.DebuggedSourceFiles
-
A collection of source code files.
- getSourceFilesOrBuilder(int) - Method in interface org.tensorflow.framework.DebuggedSourceFilesOrBuilder
-
A collection of source code files.
- getSourceFilesOrBuilderList() - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
-
A collection of source code files.
- getSourceFilesOrBuilderList() - Method in class org.tensorflow.framework.DebuggedSourceFiles
-
A collection of source code files.
- getSourceFilesOrBuilderList() - Method in interface org.tensorflow.framework.DebuggedSourceFilesOrBuilder
-
A collection of source code files.
- getSourceRank() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder
-
int32 source_rank = 2;
- getSourceRank() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse
-
int32 source_rank = 2;
- getSourceRank() - Method in interface org.tensorflow.distruntime.CompleteInstanceResponseOrBuilder
-
int32 source_rank = 2;
- getSparseBlasWrapper() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getSparseInfoProvider() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getSpilledSize() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns number of bytes in spilled allocations.
- getSrcDevice() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional, for annotating the timeline.
- getSrcDevice() - Method in class org.tensorflow.distruntime.RecvBufRequest
-
Optional, for annotating the timeline.
- getSrcDevice() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
Optional, for annotating the timeline.
- getSrcDeviceBytes() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional, for annotating the timeline.
- getSrcDeviceBytes() - Method in class org.tensorflow.distruntime.RecvBufRequest
-
Optional, for annotating the timeline.
- getSrcDeviceBytes() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
Optional, for annotating the timeline.
- getStandardDeviation() - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
-
Access the standard deviation.
- getStandardDeviation() - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
-
Access the standard deviation.
- getStandardDeviation() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Access the standard deviation.
- getStandardDeviation() - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
-
Access the standard deviation.
- getStandardDeviation() - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
-
Access the standard deviation.
- getStart() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
Start index of the slice, starting at 0.
- getStart() - Method in class org.tensorflow.framework.TensorSliceProto.Extent
-
Start index of the slice, starting at 0.
- getStart() - Method in interface org.tensorflow.framework.TensorSliceProto.ExtentOrBuilder
-
Start index of the slice, starting at 0.
- getStash(T) - Method in class org.nd4j.linalg.memory.stash.BasicStashManager
-
- getStash(T) - Method in interface org.nd4j.linalg.memory.stash.StashManager
-
- getStatePointer() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
This method returns pointer to RNG state structure.
- getStatePointer() - Method in interface org.nd4j.linalg.api.rng.Random
-
This method returns pointer to RNG state structure.
- getStatus() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
This field indicates whether the syntax, semantics, or presence
of this operator is in an experimental or stable stage.
- getStatus() - Method in class onnx.OnnxOperatorsProto3.OperatorProto
-
This field indicates whether the syntax, semantics, or presence
of this operator is in an experimental or stable stage.
- getStatus() - Method in interface onnx.OnnxOperatorsProto3.OperatorProtoOrBuilder
-
This field indicates whether the syntax, semantics, or presence
of this operator is in an experimental or stable stage.
- getStatusCode() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- getStatusCode() - Method in class org.tensorflow.distruntime.RunGraphResponse
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- getStatusCode() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- getStatusCode() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- getStatusCode() - Method in class org.tensorflow.distruntime.RunStepResponse
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- getStatusCode() - Method in interface org.tensorflow.distruntime.RunStepResponseOrBuilder
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- getStatusCodeValue() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- getStatusCodeValue() - Method in class org.tensorflow.distruntime.RunGraphResponse
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- getStatusCodeValue() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- getStatusCodeValue() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- getStatusCodeValue() - Method in class org.tensorflow.distruntime.RunStepResponse
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- getStatusCodeValue() - Method in interface org.tensorflow.distruntime.RunStepResponseOrBuilder
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- getStatusErrorMessage() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
string status_error_message = 6;
- getStatusErrorMessage() - Method in class org.tensorflow.distruntime.RunGraphResponse
-
string status_error_message = 6;
- getStatusErrorMessage() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
string status_error_message = 6;
- getStatusErrorMessage() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
string status_error_message = 4;
- getStatusErrorMessage() - Method in class org.tensorflow.distruntime.RunStepResponse
-
string status_error_message = 4;
- getStatusErrorMessage() - Method in interface org.tensorflow.distruntime.RunStepResponseOrBuilder
-
string status_error_message = 4;
- getStatusErrorMessageBytes() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
string status_error_message = 6;
- getStatusErrorMessageBytes() - Method in class org.tensorflow.distruntime.RunGraphResponse
-
string status_error_message = 6;
- getStatusErrorMessageBytes() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
string status_error_message = 6;
- getStatusErrorMessageBytes() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
string status_error_message = 4;
- getStatusErrorMessageBytes() - Method in class org.tensorflow.distruntime.RunStepResponse
-
string status_error_message = 4;
- getStatusErrorMessageBytes() - Method in interface org.tensorflow.distruntime.RunStepResponseOrBuilder
-
string status_error_message = 4;
- GetStatusRequest - Class in org.tensorflow.distruntime
-
Protobuf type tensorflow.GetStatusRequest
- GetStatusRequest.Builder - Class in org.tensorflow.distruntime
-
Protobuf type tensorflow.GetStatusRequest
- GetStatusRequestOrBuilder - Interface in org.tensorflow.distruntime
-
- GetStatusResponse - Class in org.tensorflow.distruntime
-
Protobuf type tensorflow.GetStatusResponse
- GetStatusResponse.Builder - Class in org.tensorflow.distruntime
-
Protobuf type tensorflow.GetStatusResponse
- GetStatusResponseOrBuilder - Interface in org.tensorflow.distruntime
-
- getStatusValue() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
This field indicates whether the syntax, semantics, or presence
of this operator is in an experimental or stable stage.
- getStatusValue() - Method in class onnx.OnnxOperatorsProto3.OperatorProto
-
This field indicates whether the syntax, semantics, or presence
of this operator is in an experimental or stable stage.
- getStatusValue() - Method in interface onnx.OnnxOperatorsProto3.OperatorProtoOrBuilder
-
This field indicates whether the syntax, semantics, or presence
of this operator is in an experimental or stable stage.
- getStd() - Method in class org.nd4j.linalg.dataset.api.iterator.StandardScaler
-
Deprecated.
- getStd() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
-
- getStep(int) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStep(int) - Method in class org.tensorflow.distruntime.LoggingResponse
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStep(int) - Method in interface org.tensorflow.distruntime.LoggingResponseOrBuilder
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepBuilder(int) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepBuilderList() - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepCount() - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepCount() - Method in class org.tensorflow.distruntime.LoggingResponse
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepCount() - Method in interface org.tensorflow.distruntime.LoggingResponseOrBuilder
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepId() - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder
-
int64 step_id = 1;
- getStepId() - Method in class org.tensorflow.distruntime.CleanupGraphRequest
-
int64 step_id = 1;
- getStepId() - Method in interface org.tensorflow.distruntime.CleanupGraphRequestOrBuilder
-
int64 step_id = 1;
- getStepId() - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder
-
int64 step_id = 1;
- getStepId() - Method in class org.tensorflow.distruntime.LabeledStepStats
-
int64 step_id = 1;
- getStepId() - Method in interface org.tensorflow.distruntime.LabeledStepStatsOrBuilder
-
int64 step_id = 1;
- getStepId() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Used at server side to find the correct BufRendezvous.
- getStepId() - Method in class org.tensorflow.distruntime.RecvBufRequest
-
Used at server side to find the correct BufRendezvous.
- getStepId() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
Used at server side to find the correct BufRendezvous.
- getStepId() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
The step in which the tensor will be produced.
- getStepId() - Method in class org.tensorflow.distruntime.RecvTensorRequest
-
The step in which the tensor will be produced.
- getStepId() - Method in interface org.tensorflow.distruntime.RecvTensorRequestOrBuilder
-
The step in which the tensor will be produced.
- getStepId() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
A unique ID to distinguish different runs of the same graph.
- getStepId() - Method in class org.tensorflow.distruntime.RunGraphRequest
-
A unique ID to distinguish different runs of the same graph.
- getStepId() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
A unique ID to distinguish different runs of the same graph.
- getStepId() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Process-unique step id.
- getStepId() - Method in class org.tensorflow.framework.MemoryLogRawAllocation
-
Process-unique step id.
- getStepId() - Method in interface org.tensorflow.framework.MemoryLogRawAllocationOrBuilder
-
Process-unique step id.
- getStepId() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Process-unique step id.
- getStepId() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation
-
Process-unique step id.
- getStepId() - Method in interface org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder
-
Process-unique step id.
- getStepId() - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
Process-unique step id.
- getStepId() - Method in class org.tensorflow.framework.MemoryLogStep
-
Process-unique step id.
- getStepId() - Method in interface org.tensorflow.framework.MemoryLogStepOrBuilder
-
Process-unique step id.
- getStepId() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Process-unique step id.
- getStepId() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation
-
Process-unique step id.
- getStepId() - Method in interface org.tensorflow.framework.MemoryLogTensorAllocationOrBuilder
-
Process-unique step id.
- getStepId() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Process-unique step id.
- getStepId() - Method in class org.tensorflow.framework.MemoryLogTensorOutput
-
Process-unique step id.
- getStepId() - Method in interface org.tensorflow.framework.MemoryLogTensorOutputOrBuilder
-
Process-unique step id.
- getStepList() - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepList() - Method in class org.tensorflow.distruntime.LoggingResponse
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepList() - Method in interface org.tensorflow.distruntime.LoggingResponseOrBuilder
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepNumber() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns step number.
- getStepOrBuilder(int) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepOrBuilder(int) - Method in class org.tensorflow.distruntime.LoggingResponse
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepOrBuilder(int) - Method in interface org.tensorflow.distruntime.LoggingResponseOrBuilder
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepOrBuilderList() - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepOrBuilderList() - Method in class org.tensorflow.distruntime.LoggingResponse
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepOrBuilderList() - Method in interface org.tensorflow.distruntime.LoggingResponseOrBuilder
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepSequence(int) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequence(int) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequence(int) - Method in interface org.tensorflow.distruntime.GetStepSequenceResponseOrBuilder
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequenceBuilder(int) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequenceBuilderList() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequenceCount() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequenceCount() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequenceCount() - Method in interface org.tensorflow.distruntime.GetStepSequenceResponseOrBuilder
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequenceList() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequenceList() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequenceList() - Method in interface org.tensorflow.distruntime.GetStepSequenceResponseOrBuilder
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequenceOrBuilder(int) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequenceOrBuilder(int) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequenceOrBuilder(int) - Method in interface org.tensorflow.distruntime.GetStepSequenceResponseOrBuilder
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequenceOrBuilderList() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequenceOrBuilderList() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequenceOrBuilderList() - Method in interface org.tensorflow.distruntime.GetStepSequenceResponseOrBuilder
-
repeated .tensorflow.StepSequence step_sequence = 1;
- GetStepSequenceRequest - Class in org.tensorflow.distruntime
-
Request for next agreed-upon step_id for the specified graph_keys.
- GetStepSequenceRequest.Builder - Class in org.tensorflow.distruntime
-
Request for next agreed-upon step_id for the specified graph_keys.
- GetStepSequenceRequestOrBuilder - Interface in org.tensorflow.distruntime
-
- GetStepSequenceResponse - Class in org.tensorflow.distruntime
-
Next valid step_ids for one or more graph_keys.
- GetStepSequenceResponse.Builder - Class in org.tensorflow.distruntime
-
Next valid step_ids for one or more graph_keys.
- GetStepSequenceResponseOrBuilder - Interface in org.tensorflow.distruntime
-
- getStepStats() - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder
-
.tensorflow.StepStats step_stats = 2;
- getStepStats() - Method in class org.tensorflow.distruntime.LabeledStepStats
-
.tensorflow.StepStats step_stats = 2;
- getStepStats() - Method in interface org.tensorflow.distruntime.LabeledStepStatsOrBuilder
-
.tensorflow.StepStats step_stats = 2;
- getStepStats() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
If the request asked for execution stats, the cost graph, or the partition
graphs, these are returned here.
- getStepStats() - Method in class org.tensorflow.distruntime.RunGraphResponse
-
If the request asked for execution stats, the cost graph, or the partition
graphs, these are returned here.
- getStepStats() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
If the request asked for execution stats, the cost graph, or the partition
graphs, these are returned here.
- getStepStats() - Method in class org.tensorflow.framework.RunMetadata.Builder
-
Statistics traced for this step.
- getStepStats() - Method in class org.tensorflow.framework.RunMetadata
-
Statistics traced for this step.
- getStepStats() - Method in interface org.tensorflow.framework.RunMetadataOrBuilder
-
Statistics traced for this step.
- getStepStatsBuilder() - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder
-
.tensorflow.StepStats step_stats = 2;
- getStepStatsBuilder() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
If the request asked for execution stats, the cost graph, or the partition
graphs, these are returned here.
- getStepStatsBuilder() - Method in class org.tensorflow.framework.RunMetadata.Builder
-
Statistics traced for this step.
- getStepStatsOrBuilder() - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder
-
.tensorflow.StepStats step_stats = 2;
- getStepStatsOrBuilder() - Method in class org.tensorflow.distruntime.LabeledStepStats
-
.tensorflow.StepStats step_stats = 2;
- getStepStatsOrBuilder() - Method in interface org.tensorflow.distruntime.LabeledStepStatsOrBuilder
-
.tensorflow.StepStats step_stats = 2;
- getStepStatsOrBuilder() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
If the request asked for execution stats, the cost graph, or the partition
graphs, these are returned here.
- getStepStatsOrBuilder() - Method in class org.tensorflow.distruntime.RunGraphResponse
-
If the request asked for execution stats, the cost graph, or the partition
graphs, these are returned here.
- getStepStatsOrBuilder() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
If the request asked for execution stats, the cost graph, or the partition
graphs, these are returned here.
- getStepStatsOrBuilder() - Method in class org.tensorflow.framework.RunMetadata.Builder
-
Statistics traced for this step.
- getStepStatsOrBuilder() - Method in class org.tensorflow.framework.RunMetadata
-
Statistics traced for this step.
- getStepStatsOrBuilder() - Method in interface org.tensorflow.framework.RunMetadataOrBuilder
-
Statistics traced for this step.
- getStirlingError(double) - Static method in class org.nd4j.linalg.api.rng.distribution.impl.SaddlePointExpansion
-
Compute the error of Stirling's series at the given value.
- getStoreErrorsInResponseBody() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
If true then some errors, e.g., execution errors that have long
error messages, may return an OK RunGraphResponse with the actual
error saved in the status_code/status_error_message fields of the
response body.
- getStoreErrorsInResponseBody() - Method in class org.tensorflow.distruntime.RunGraphRequest
-
If true then some errors, e.g., execution errors that have long
error messages, may return an OK RunGraphResponse with the actual
error saved in the status_code/status_error_message fields of the
response body.
- getStoreErrorsInResponseBody() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
If true then some errors, e.g., execution errors that have long
error messages, may return an OK RunGraphResponse with the actual
error saved in the status_code/status_error_message fields of the
response body.
- getStoreErrorsInResponseBody() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
If true then some errors, e.g., execution errors that have long
error messages, may return an OK RunStepResponse with the actual
error saved in the status_code/status_error_message fields of the
response body.
- getStoreErrorsInResponseBody() - Method in class org.tensorflow.distruntime.RunStepRequest
-
If true then some errors, e.g., execution errors that have long
error messages, may return an OK RunStepResponse with the actual
error saved in the status_code/status_error_message fields of the
response body.
- getStoreErrorsInResponseBody() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder
-
If true then some errors, e.g., execution errors that have long
error messages, may return an OK RunStepResponse with the actual
error saved in the status_code/status_error_message fields of the
response body.
- getStrength() - Method in class org.tensorflow.framework.InterconnectLink.Builder
-
int32 strength = 3;
- getStrength() - Method in class org.tensorflow.framework.InterconnectLink
-
int32 strength = 3;
- getStrength() - Method in interface org.tensorflow.framework.InterconnectLinkOrBuilder
-
int32 strength = 3;
- getStrideForOrdering(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Return the proper stride
through a vector
relative to the ordering of the array
This is for incX/incY parameters in BLAS.
- getStrides(int[], char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getStrides(int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the strides for the given order and shape
- getStrides(long[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getStrides(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the strides based on the shape
and NDArrays.order()
- getStrides(long[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the strides based on the shape
and NDArrays.order()
- getString(long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getString(long) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getString(long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- getString(Utf8Buffer, long) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- getString(Utf8Buffer, long) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method extracts String from Utf8Buffer
- getStringData(int) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For strings.
- getStringData(int) - Method in class onnx.OnnxMlProto3.TensorProto
-
For strings.
- getStringData(int) - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For strings.
- getStringData(int) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For strings.
- getStringData(int) - Method in class onnx.OnnxProto3.TensorProto
-
For strings.
- getStringData(int) - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For strings.
- getStringDataCount() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For strings.
- getStringDataCount() - Method in class onnx.OnnxMlProto3.TensorProto
-
For strings.
- getStringDataCount() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For strings.
- getStringDataCount() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For strings.
- getStringDataCount() - Method in class onnx.OnnxProto3.TensorProto
-
For strings.
- getStringDataCount() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For strings.
- getStringDataList() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For strings.
- getStringDataList() - Method in class onnx.OnnxMlProto3.TensorProto
-
For strings.
- getStringDataList() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For strings.
- getStringDataList() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For strings.
- getStringDataList() - Method in class onnx.OnnxProto3.TensorProto
-
For strings.
- getStringDataList() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For strings.
- getStrings(int) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of UTF-8 strings
- getStrings(int) - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of UTF-8 strings
- getStrings(int) - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of UTF-8 strings
- getStrings(int) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of UTF-8 strings
- getStrings(int) - Method in class onnx.OnnxProto3.AttributeProto
-
list of UTF-8 strings
- getStrings(int) - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of UTF-8 strings
- getStringsCount() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of UTF-8 strings
- getStringsCount() - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of UTF-8 strings
- getStringsCount() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of UTF-8 strings
- getStringsCount() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of UTF-8 strings
- getStringsCount() - Method in class onnx.OnnxProto3.AttributeProto
-
list of UTF-8 strings
- getStringsCount() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of UTF-8 strings
- getStringsList() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of UTF-8 strings
- getStringsList() - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of UTF-8 strings
- getStringsList() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of UTF-8 strings
- getStringsList() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of UTF-8 strings
- getStringsList() - Method in class onnx.OnnxProto3.AttributeProto
-
list of UTF-8 strings
- getStringsList() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of UTF-8 strings
- getStringVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_STRING
- getStringVal(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_STRING
- getStringVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_STRING
- getStringValCount() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_STRING
- getStringValCount() - Method in class org.tensorflow.framework.TensorProto
-
DT_STRING
- getStringValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_STRING
- getStringValList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_STRING
- getStringValList() - Method in class org.tensorflow.framework.TensorProto
-
DT_STRING
- getStringValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_STRING
- getStrippedDefaultAttrs() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
A flag to denote whether default-valued attrs have been stripped from
the nodes in this graph_def.
- getStrippedDefaultAttrs() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
A flag to denote whether default-valued attrs have been stripped from
the nodes in this graph_def.
- getStrippedDefaultAttrs() - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
A flag to denote whether default-valued attrs have been stripped from
the nodes in this graph_def.
- getStrippedOpList() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
A copy of the OpDefs used by the producer of this graph_def.
- getStrippedOpList() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
A copy of the OpDefs used by the producer of this graph_def.
- getStrippedOpList() - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
A copy of the OpDefs used by the producer of this graph_def.
- getStrippedOpListBuilder() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
A copy of the OpDefs used by the producer of this graph_def.
- getStrippedOpListOrBuilder() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
A copy of the OpDefs used by the producer of this graph_def.
- getStrippedOpListOrBuilder() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
A copy of the OpDefs used by the producer of this graph_def.
- getStrippedOpListOrBuilder() - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
A copy of the OpDefs used by the producer of this graph_def.
- getSubdivOffset(int) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
repeated int32 subdiv_offset = 9;
- getSubdivOffset(int) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest
-
repeated int32 subdiv_offset = 9;
- getSubdivOffset(int) - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
repeated int32 subdiv_offset = 9;
- getSubdivOffsetCount() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
repeated int32 subdiv_offset = 9;
- getSubdivOffsetCount() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest
-
repeated int32 subdiv_offset = 9;
- getSubdivOffsetCount() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
repeated int32 subdiv_offset = 9;
- getSubdivOffsetList() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
repeated int32 subdiv_offset = 9;
- getSubdivOffsetList() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest
-
repeated int32 subdiv_offset = 9;
- getSubdivOffsetList() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
repeated int32 subdiv_offset = 9;
- getSubGraph(SameDiff, DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.transform.SubGraphPredicate
-
Get the SubGraph that matches the predicate
- getSubgraphsMatching(SameDiff, SubGraphPredicate) - Static method in class org.nd4j.autodiff.samediff.transform.GraphTransformUtil
-
Get a list of all the subgraphs that match the specified predicate
- getSubMatricesWithShape(long, long, long, DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getSubMatricesWithShape(char, long, long, long, DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getSum() - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet
-
- getSum(String) - Method in class org.nd4j.linalg.profiler.data.StringAggregator
-
- getSum() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double sum = 4;
- getSum() - Method in class org.tensorflow.framework.HistogramProto
-
double sum = 4;
- getSum() - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder
-
double sum = 4;
- getSummary() - Method in class org.tensorflow.framework.ApiDef.Builder
-
One-line human-readable description of what the Op does.
- getSummary() - Method in class org.tensorflow.framework.ApiDef
-
One-line human-readable description of what the Op does.
- getSummary() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
One-line human-readable description of what the Op does.
- getSummary() - Method in class org.tensorflow.framework.OpDef.Builder
-
One-line human-readable description of what the Op does.
- getSummary() - Method in class org.tensorflow.framework.OpDef
-
One-line human-readable description of what the Op does.
- getSummary() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
One-line human-readable description of what the Op does.
- getSummaryBytes() - Method in class org.tensorflow.framework.ApiDef.Builder
-
One-line human-readable description of what the Op does.
- getSummaryBytes() - Method in class org.tensorflow.framework.ApiDef
-
One-line human-readable description of what the Op does.
- getSummaryBytes() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
One-line human-readable description of what the Op does.
- getSummaryBytes() - Method in class org.tensorflow.framework.OpDef.Builder
-
One-line human-readable description of what the Op does.
- getSummaryBytes() - Method in class org.tensorflow.framework.OpDef
-
One-line human-readable description of what the Op does.
- getSummaryBytes() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
One-line human-readable description of what the Op does.
- getSummaryDescription() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Longform readable description of the summary sequence.
- getSummaryDescription() - Method in class org.tensorflow.framework.SummaryMetadata
-
Longform readable description of the summary sequence.
- getSummaryDescription() - Method in interface org.tensorflow.framework.SummaryMetadataOrBuilder
-
Longform readable description of the summary sequence.
- getSummaryDescriptionBytes() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Longform readable description of the summary sequence.
- getSummaryDescriptionBytes() - Method in class org.tensorflow.framework.SummaryMetadata
-
Longform readable description of the summary sequence.
- getSummaryDescriptionBytes() - Method in interface org.tensorflow.framework.SummaryMetadataOrBuilder
-
Longform readable description of the summary sequence.
- getSumSquares() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double sum_squares = 5;
- getSumSquares() - Method in class org.tensorflow.framework.HistogramProto
-
double sum_squares = 5;
- getSumSquares() - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder
-
double sum_squares = 5;
- getSupportedClass() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.CustomSerializerStrategy
-
Get the class of the supported custom serializer
- getSupportedType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.CustomSerializerStrategy
-
- getSupportedType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.ImagePreProcessingSerializerStrategy
-
- getSupportedType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MinMaxSerializerStrategy
-
- getSupportedType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiHybridSerializerStrategy
-
- getSupportedType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiMinMaxSerializerStrategy
-
- getSupportedType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiStandardizeSerializerStrategy
-
- getSupportedType() - Method in interface org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializerStrategy
-
Get the enum opType of the supported normalizer
- getSupportedType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.StandardizeSerializerStrategy
-
- getSupportLowerBound() - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
Access the lower bound of the support.
- getSupportUpperBound() - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
Access the upper bound of the support.
- getSwapMemory() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Whether GPU-CPU memory swap is enabled for this loop.
- getSwapMemory() - Method in class org.tensorflow.framework.WhileContextDef
-
Whether GPU-CPU memory swap is enabled for this loop.
- getSwapMemory() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder
-
Whether GPU-CPU memory swap is enabled for this loop.
- getT() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
tensor value
- getT() - Method in class onnx.OnnxMlProto3.AttributeProto
-
tensor value
- getT() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
tensor value
- getT() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
tensor value
- getT() - Method in class onnx.OnnxProto3.AttributeProto
-
tensor value
- getT() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
tensor value
- getTADLength(int[], int...) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getTADLength(long[], int...) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getTADManager() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- getTADManager() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method returns TADManager instance used for this OpExecutioner
- getTADOnlyShapeInfo(INDArray, int...) - Method in interface org.nd4j.linalg.cache.TADManager
-
This method returns TAD shapeInfo and all offsets
for specified tensor and dimensions.
- getTag() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
Tag name for the data.
- getTag() - Method in class org.tensorflow.framework.Summary.Value
-
Tag name for the data.
- getTag() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
Tag name for the data.
- getTagBytes() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
Tag name for the data.
- getTagBytes() - Method in class org.tensorflow.framework.Summary.Value
-
Tag name for the data.
- getTagBytes() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
Tag name for the data.
- getTags(int) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
User supplied tag(s) on the meta_graph and included graph_def.
- getTags(int) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
User supplied tag(s) on the meta_graph and included graph_def.
- getTags(int) - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
User supplied tag(s) on the meta_graph and included graph_def.
- getTagsBytes(int) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
User supplied tag(s) on the meta_graph and included graph_def.
- getTagsBytes(int) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
User supplied tag(s) on the meta_graph and included graph_def.
- getTagsBytes(int) - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
User supplied tag(s) on the meta_graph and included graph_def.
- getTagsCount() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
User supplied tag(s) on the meta_graph and included graph_def.
- getTagsCount() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
User supplied tag(s) on the meta_graph and included graph_def.
- getTagsCount() - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
User supplied tag(s) on the meta_graph and included graph_def.
- getTagsList() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
User supplied tag(s) on the meta_graph and included graph_def.
- getTagsList() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
User supplied tag(s) on the meta_graph and included graph_def.
- getTagsList() - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
User supplied tag(s) on the meta_graph and included graph_def.
- getTarget() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
-
The target string used from the client's perspective.
- getTarget() - Method in class org.tensorflow.distruntime.CreateSessionRequest
-
The target string used from the client's perspective.
- getTarget() - Method in interface org.tensorflow.distruntime.CreateSessionRequestOrBuilder
-
The target string used from the client's perspective.
- getTarget(int) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Target Nodes.
- getTarget(int) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest
-
Target Nodes.
- getTarget(int) - Method in interface org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder
-
Target Nodes.
- getTarget(int) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Target Nodes.
- getTarget(int) - Method in class org.tensorflow.distruntime.RunStepRequest
-
Target Nodes.
- getTarget(int) - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Target Nodes.
- getTarget(int) - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Target Nodes.
- getTarget(int) - Method in class org.tensorflow.framework.CallableOptions
-
Target Nodes.
- getTarget(int) - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder
-
Target Nodes.
- getTargetBytes() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
-
The target string used from the client's perspective.
- getTargetBytes() - Method in class org.tensorflow.distruntime.CreateSessionRequest
-
The target string used from the client's perspective.
- getTargetBytes() - Method in interface org.tensorflow.distruntime.CreateSessionRequestOrBuilder
-
The target string used from the client's perspective.
- getTargetBytes(int) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Target Nodes.
- getTargetBytes(int) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest
-
Target Nodes.
- getTargetBytes(int) - Method in interface org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder
-
Target Nodes.
- getTargetBytes(int) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Target Nodes.
- getTargetBytes(int) - Method in class org.tensorflow.distruntime.RunStepRequest
-
Target Nodes.
- getTargetBytes(int) - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Target Nodes.
- getTargetBytes(int) - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Target Nodes.
- getTargetBytes(int) - Method in class org.tensorflow.framework.CallableOptions
-
Target Nodes.
- getTargetBytes(int) - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder
-
Target Nodes.
- getTargetCount() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Target Nodes.
- getTargetCount() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest
-
Target Nodes.
- getTargetCount() - Method in interface org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder
-
Target Nodes.
- getTargetCount() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Target Nodes.
- getTargetCount() - Method in class org.tensorflow.distruntime.RunStepRequest
-
Target Nodes.
- getTargetCount() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Target Nodes.
- getTargetCount() - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Target Nodes.
- getTargetCount() - Method in class org.tensorflow.framework.CallableOptions
-
Target Nodes.
- getTargetCount() - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder
-
Target Nodes.
- getTargetList() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Target Nodes.
- getTargetList() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest
-
Target Nodes.
- getTargetList() - Method in interface org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder
-
Target Nodes.
- getTargetList() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Target Nodes.
- getTargetList() - Method in class org.tensorflow.distruntime.RunStepRequest
-
Target Nodes.
- getTargetList() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Target Nodes.
- getTargetList() - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Target Nodes.
- getTargetList() - Method in class org.tensorflow.framework.CallableOptions
-
Target Nodes.
- getTargetList() - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder
-
Target Nodes.
- getTargetMappingForOp(DifferentialFunction, NODE_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
Get the target mapping key (usually based on the node name)
for the given function
- getTargetMappingForOp(DifferentialFunction, OnnxProto3.NodeProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getTargetMappingForOp(DifferentialFunction, NodeDef) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getTargetMax() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler
-
- getTargetMax() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- getTargetMin() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler
-
- getTargetMin() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- getTArgument(int) - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
-
- getTArgument(int) - Method in interface org.nd4j.linalg.api.ops.CustomOp
-
- getTArgument(int) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
-
- getTArgument(int) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
-
- getTArgument(int) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
-
- getTaskIndex() - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
The task index of this server in its job.
- getTaskIndex() - Method in class org.tensorflow.distruntime.ServerDef
-
The task index of this server in its job.
- getTaskIndex() - Method in interface org.tensorflow.distruntime.ServerDefOrBuilder
-
The task index of this server in its job.
- getTaskName(int) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
task name prefixes of device_names
- getTaskName(int) - Method in class org.tensorflow.distruntime.CompleteGroupResponse
-
task name prefixes of device_names
- getTaskName(int) - Method in interface org.tensorflow.distruntime.CompleteGroupResponseOrBuilder
-
task name prefixes of device_names
- getTaskNameBytes(int) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
task name prefixes of device_names
- getTaskNameBytes(int) - Method in class org.tensorflow.distruntime.CompleteGroupResponse
-
task name prefixes of device_names
- getTaskNameBytes(int) - Method in interface org.tensorflow.distruntime.CompleteGroupResponseOrBuilder
-
task name prefixes of device_names
- getTaskNameCount() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
task name prefixes of device_names
- getTaskNameCount() - Method in class org.tensorflow.distruntime.CompleteGroupResponse
-
task name prefixes of device_names
- getTaskNameCount() - Method in interface org.tensorflow.distruntime.CompleteGroupResponseOrBuilder
-
task name prefixes of device_names
- getTaskNameList() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
task name prefixes of device_names
- getTaskNameList() - Method in class org.tensorflow.distruntime.CompleteGroupResponse
-
task name prefixes of device_names
- getTaskNameList() - Method in interface org.tensorflow.distruntime.CompleteGroupResponseOrBuilder
-
task name prefixes of device_names
- getTasks() - Method in class org.tensorflow.distruntime.JobDef.Builder
-
Deprecated.
- getTasks() - Method in class org.tensorflow.distruntime.JobDef
-
Deprecated.
- getTasks() - Method in interface org.tensorflow.distruntime.JobDefOrBuilder
-
Deprecated.
- getTasksCount() - Method in class org.tensorflow.distruntime.JobDef.Builder
-
- getTasksCount() - Method in class org.tensorflow.distruntime.JobDef
-
- getTasksCount() - Method in interface org.tensorflow.distruntime.JobDefOrBuilder
-
Mapping from task ID to "hostname:port" string.
- getTasksMap() - Method in class org.tensorflow.distruntime.JobDef.Builder
-
Mapping from task ID to "hostname:port" string.
- getTasksMap() - Method in class org.tensorflow.distruntime.JobDef
-
Mapping from task ID to "hostname:port" string.
- getTasksMap() - Method in interface org.tensorflow.distruntime.JobDefOrBuilder
-
Mapping from task ID to "hostname:port" string.
- getTasksOrDefault(int, String) - Method in class org.tensorflow.distruntime.JobDef.Builder
-
Mapping from task ID to "hostname:port" string.
- getTasksOrDefault(int, String) - Method in class org.tensorflow.distruntime.JobDef
-
Mapping from task ID to "hostname:port" string.
- getTasksOrDefault(int, String) - Method in interface org.tensorflow.distruntime.JobDefOrBuilder
-
Mapping from task ID to "hostname:port" string.
- getTasksOrThrow(int) - Method in class org.tensorflow.distruntime.JobDef.Builder
-
Mapping from task ID to "hostname:port" string.
- getTasksOrThrow(int) - Method in class org.tensorflow.distruntime.JobDef
-
Mapping from task ID to "hostname:port" string.
- getTasksOrThrow(int) - Method in interface org.tensorflow.distruntime.JobDefOrBuilder
-
Mapping from task ID to "hostname:port" string.
- getTBuilder() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
tensor value
- getTBuilder() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
tensor value
- getTempMemorySize() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
int64 temp_memory_size = 1;
- getTempMemorySize() - Method in class org.tensorflow.framework.MemoryStats
-
int64 temp_memory_size = 1;
- getTempMemorySize() - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder
-
int64 temp_memory_size = 1;
- getTemporaryMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Temporary memory used by this node.
- getTemporaryMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
Temporary memory used by this node.
- getTemporaryMemorySize() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
Temporary memory used by this node.
- getTensor() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
-
The tensor as a proto.
- getTensor() - Method in class org.tensorflow.distruntime.RecvTensorResponse
-
The tensor as a proto.
- getTensor() - Method in interface org.tensorflow.distruntime.RecvTensorResponseOrBuilder
-
The tensor as a proto.
- getTensor(int) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensor(int) - Method in class org.tensorflow.distruntime.RunStepResponse
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensor(int) - Method in interface org.tensorflow.distruntime.RunStepResponseOrBuilder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensor() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"tensor"
- getTensor() - Method in class org.tensorflow.framework.AttrValue
-
"tensor"
- getTensor(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
- getTensor(int) - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(tensor)"
- getTensor(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(tensor)"
- getTensor() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
"tensor"
- getTensor() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Allocated tensor details.
- getTensor() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation
-
Allocated tensor details.
- getTensor() - Method in interface org.tensorflow.framework.MemoryLogTensorAllocationOrBuilder
-
Allocated tensor details.
- getTensor() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Output tensor details.
- getTensor() - Method in class org.tensorflow.framework.MemoryLogTensorOutput
-
Output tensor details.
- getTensor() - Method in interface org.tensorflow.framework.MemoryLogTensorOutputOrBuilder
-
Output tensor details.
- getTensor() - Method in class org.tensorflow.framework.NamedTensorProto.Builder
-
The client can populate a TensorProto using a tensorflow::Tensor`, or
directly using the protobuf field accessors.
- getTensor() - Method in class org.tensorflow.framework.NamedTensorProto
-
The client can populate a TensorProto using a tensorflow::Tensor`, or
directly using the protobuf field accessors.
- getTensor() - Method in interface org.tensorflow.framework.NamedTensorProtoOrBuilder
-
The client can populate a TensorProto using a tensorflow::Tensor`, or
directly using the protobuf field accessors.
- getTensor() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.TensorProto tensor = 8;
- getTensor() - Method in class org.tensorflow.framework.Summary.Value
-
.tensorflow.TensorProto tensor = 8;
- getTensor() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
.tensorflow.TensorProto tensor = 8;
- getTensorAlongDimensionMatricesWithShape(char, long, long, long, DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getTensorAlongDimensionMatricesWithShape(long, long, long, DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getTensorBuilder() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
-
The tensor as a proto.
- getTensorBuilder(int) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensorBuilder() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"tensor"
- getTensorBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
- getTensorBuilder() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Allocated tensor details.
- getTensorBuilder() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Output tensor details.
- getTensorBuilder() - Method in class org.tensorflow.framework.NamedTensorProto.Builder
-
The client can populate a TensorProto using a tensorflow::Tensor`, or
directly using the protobuf field accessors.
- getTensorBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.TensorProto tensor = 8;
- getTensorBuilderList() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensorBuilderList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
- getTensorConnection(int) - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Tensors to be connected in the callable.
- getTensorConnection(int) - Method in class org.tensorflow.framework.CallableOptions
-
Tensors to be connected in the callable.
- getTensorConnection(int) - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder
-
Tensors to be connected in the callable.
- getTensorConnectionBuilder(int) - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Tensors to be connected in the callable.
- getTensorConnectionBuilderList() - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Tensors to be connected in the callable.
- getTensorConnectionCount() - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Tensors to be connected in the callable.
- getTensorConnectionCount() - Method in class org.tensorflow.framework.CallableOptions
-
Tensors to be connected in the callable.
- getTensorConnectionCount() - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder
-
Tensors to be connected in the callable.
- getTensorConnectionList() - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Tensors to be connected in the callable.
- getTensorConnectionList() - Method in class org.tensorflow.framework.CallableOptions
-
Tensors to be connected in the callable.
- getTensorConnectionList() - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder
-
Tensors to be connected in the callable.
- getTensorConnectionOrBuilder(int) - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Tensors to be connected in the callable.
- getTensorConnectionOrBuilder(int) - Method in class org.tensorflow.framework.CallableOptions
-
Tensors to be connected in the callable.
- getTensorConnectionOrBuilder(int) - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder
-
Tensors to be connected in the callable.
- getTensorConnectionOrBuilderList() - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Tensors to be connected in the callable.
- getTensorConnectionOrBuilderList() - Method in class org.tensorflow.framework.CallableOptions
-
Tensors to be connected in the callable.
- getTensorConnectionOrBuilderList() - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder
-
Tensors to be connected in the callable.
- getTensorContent() - Method in class org.tensorflow.framework.TensorProto.Builder
-
Serialized raw tensor content from either Tensor::AsProtoTensorContent or
memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
- getTensorContent() - Method in class org.tensorflow.framework.TensorProto
-
Serialized raw tensor content from either Tensor::AsProtoTensorContent or
memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
- getTensorContent() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
Serialized raw tensor content from either Tensor::AsProtoTensorContent or
memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
- getTensorContent() - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder
-
bytes tensor_content = 1;
- getTensorContent() - Method in class tensorflow.TransportOptions.RecvBufRespExtra
-
bytes tensor_content = 1;
- getTensorContent() - Method in interface tensorflow.TransportOptions.RecvBufRespExtraOrBuilder
-
bytes tensor_content = 1;
- getTensorCount() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensorCount() - Method in class org.tensorflow.distruntime.RunStepResponse
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensorCount() - Method in interface org.tensorflow.distruntime.RunStepResponseOrBuilder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensorCount() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
- getTensorCount() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(tensor)"
- getTensorCount() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(tensor)"
- getTensorDescription() - Method in class org.tensorflow.framework.NodeOutput.Builder
-
.tensorflow.TensorDescription tensor_description = 3;
- getTensorDescription() - Method in class org.tensorflow.framework.NodeOutput
-
.tensorflow.TensorDescription tensor_description = 3;
- getTensorDescription() - Method in interface org.tensorflow.framework.NodeOutputOrBuilder
-
.tensorflow.TensorDescription tensor_description = 3;
- getTensorDescriptionBuilder() - Method in class org.tensorflow.framework.NodeOutput.Builder
-
.tensorflow.TensorDescription tensor_description = 3;
- getTensorDescriptionOrBuilder() - Method in class org.tensorflow.framework.NodeOutput.Builder
-
.tensorflow.TensorDescription tensor_description = 3;
- getTensorDescriptionOrBuilder() - Method in class org.tensorflow.framework.NodeOutput
-
.tensorflow.TensorDescription tensor_description = 3;
- getTensorDescriptionOrBuilder() - Method in interface org.tensorflow.framework.NodeOutputOrBuilder
-
.tensorflow.TensorDescription tensor_description = 3;
- getTensorflowGitVersion() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
The __git_version__ string of the tensorflow build used to write this
graph.
- getTensorflowGitVersion() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
The __git_version__ string of the tensorflow build used to write this
graph.
- getTensorflowGitVersion() - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
The __git_version__ string of the tensorflow build used to write this
graph.
- getTensorflowGitVersionBytes() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
The __git_version__ string of the tensorflow build used to write this
graph.
- getTensorflowGitVersionBytes() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
The __git_version__ string of the tensorflow build used to write this
graph.
- getTensorflowGitVersionBytes() - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
The __git_version__ string of the tensorflow build used to write this
graph.
- getTensorFlowNames() - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder
-
- getTensorflowVersion() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
The __version__ string of the tensorflow build used to write this graph.
- getTensorflowVersion() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
The __version__ string of the tensorflow build used to write this graph.
- getTensorflowVersion() - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
The __version__ string of the tensorflow build used to write this graph.
- getTensorflowVersionBytes() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
The __version__ string of the tensorflow build used to write this graph.
- getTensorflowVersionBytes() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
The __version__ string of the tensorflow build used to write this graph.
- getTensorflowVersionBytes() - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
The __version__ string of the tensorflow build used to write this graph.
- getTensorInfo() - Method in class org.tensorflow.framework.AssetFileDef.Builder
-
The tensor to bind the asset filename to.
- getTensorInfo() - Method in class org.tensorflow.framework.AssetFileDef
-
The tensor to bind the asset filename to.
- getTensorInfo() - Method in interface org.tensorflow.framework.AssetFileDefOrBuilder
-
The tensor to bind the asset filename to.
- getTensorInfoBuilder() - Method in class org.tensorflow.framework.AssetFileDef.Builder
-
The tensor to bind the asset filename to.
- getTensorInfoOrBuilder() - Method in class org.tensorflow.framework.AssetFileDef.Builder
-
The tensor to bind the asset filename to.
- getTensorInfoOrBuilder() - Method in class org.tensorflow.framework.AssetFileDef
-
The tensor to bind the asset filename to.
- getTensorInfoOrBuilder() - Method in interface org.tensorflow.framework.AssetFileDefOrBuilder
-
The tensor to bind the asset filename to.
- getTensorList() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensorList() - Method in class org.tensorflow.distruntime.RunStepResponse
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensorList() - Method in interface org.tensorflow.distruntime.RunStepResponseOrBuilder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensorList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
- getTensorList() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(tensor)"
- getTensorList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(tensor)"
- getTensorOrBuilder() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
-
The tensor as a proto.
- getTensorOrBuilder() - Method in class org.tensorflow.distruntime.RecvTensorResponse
-
The tensor as a proto.
- getTensorOrBuilder() - Method in interface org.tensorflow.distruntime.RecvTensorResponseOrBuilder
-
The tensor as a proto.
- getTensorOrBuilder(int) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensorOrBuilder(int) - Method in class org.tensorflow.distruntime.RunStepResponse
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensorOrBuilder(int) - Method in interface org.tensorflow.distruntime.RunStepResponseOrBuilder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensorOrBuilder() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"tensor"
- getTensorOrBuilder() - Method in class org.tensorflow.framework.AttrValue
-
"tensor"
- getTensorOrBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
- getTensorOrBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(tensor)"
- getTensorOrBuilder(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(tensor)"
- getTensorOrBuilder() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
"tensor"
- getTensorOrBuilder() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Allocated tensor details.
- getTensorOrBuilder() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation
-
Allocated tensor details.
- getTensorOrBuilder() - Method in interface org.tensorflow.framework.MemoryLogTensorAllocationOrBuilder
-
Allocated tensor details.
- getTensorOrBuilder() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Output tensor details.
- getTensorOrBuilder() - Method in class org.tensorflow.framework.MemoryLogTensorOutput
-
Output tensor details.
- getTensorOrBuilder() - Method in interface org.tensorflow.framework.MemoryLogTensorOutputOrBuilder
-
Output tensor details.
- getTensorOrBuilder() - Method in class org.tensorflow.framework.NamedTensorProto.Builder
-
The client can populate a TensorProto using a tensorflow::Tensor`, or
directly using the protobuf field accessors.
- getTensorOrBuilder() - Method in class org.tensorflow.framework.NamedTensorProto
-
The client can populate a TensorProto using a tensorflow::Tensor`, or
directly using the protobuf field accessors.
- getTensorOrBuilder() - Method in interface org.tensorflow.framework.NamedTensorProtoOrBuilder
-
The client can populate a TensorProto using a tensorflow::Tensor`, or
directly using the protobuf field accessors.
- getTensorOrBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.TensorProto tensor = 8;
- getTensorOrBuilder() - Method in class org.tensorflow.framework.Summary.Value
-
.tensorflow.TensorProto tensor = 8;
- getTensorOrBuilder() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
.tensorflow.TensorProto tensor = 8;
- getTensorOrBuilderList() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensorOrBuilderList() - Method in class org.tensorflow.distruntime.RunStepResponse
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensorOrBuilderList() - Method in interface org.tensorflow.distruntime.RunStepResponseOrBuilder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensorOrBuilderList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
- getTensorOrBuilderList() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(tensor)"
- getTensorOrBuilderList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(tensor)"
- getTensors(int) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of tensors
- getTensors(int) - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of tensors
- getTensors(int) - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of tensors
- getTensors(int) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of tensors
- getTensors(int) - Method in class onnx.OnnxProto3.AttributeProto
-
list of tensors
- getTensors(int) - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of tensors
- getTensors(int) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- getTensors(int) - Method in class org.tensorflow.framework.VariantTensorDataProto
-
Tensors contained within objects being serialized.
- getTensors(int) - Method in interface org.tensorflow.framework.VariantTensorDataProtoOrBuilder
-
Tensors contained within objects being serialized.
- getTensorsBuilder(int) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of tensors
- getTensorsBuilder(int) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of tensors
- getTensorsBuilder(int) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- getTensorsBuilderList() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of tensors
- getTensorsBuilderList() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of tensors
- getTensorsBuilderList() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- getTensorsCount() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of tensors
- getTensorsCount() - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of tensors
- getTensorsCount() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of tensors
- getTensorsCount() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of tensors
- getTensorsCount() - Method in class onnx.OnnxProto3.AttributeProto
-
list of tensors
- getTensorsCount() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of tensors
- getTensorsCount() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- getTensorsCount() - Method in class org.tensorflow.framework.VariantTensorDataProto
-
Tensors contained within objects being serialized.
- getTensorsCount() - Method in interface org.tensorflow.framework.VariantTensorDataProtoOrBuilder
-
Tensors contained within objects being serialized.
- getTensorShape() - Method in class org.tensorflow.framework.TensorInfo.Builder
-
The static shape should be recorded here, to the extent that it can
be known in advance.
- getTensorShape() - Method in class org.tensorflow.framework.TensorInfo
-
The static shape should be recorded here, to the extent that it can
be known in advance.
- getTensorShape() - Method in interface org.tensorflow.framework.TensorInfoOrBuilder
-
The static shape should be recorded here, to the extent that it can
be known in advance.
- getTensorShape() - Method in class org.tensorflow.framework.TensorProto.Builder
-
Shape of the tensor.
- getTensorShape() - Method in class org.tensorflow.framework.TensorProto
-
Shape of the tensor.
- getTensorShape() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
Shape of the tensor.
- getTensorShapeBuilder() - Method in class org.tensorflow.framework.TensorInfo.Builder
-
The static shape should be recorded here, to the extent that it can
be known in advance.
- getTensorShapeBuilder() - Method in class org.tensorflow.framework.TensorProto.Builder
-
Shape of the tensor.
- getTensorShapeOrBuilder() - Method in class org.tensorflow.framework.TensorInfo.Builder
-
The static shape should be recorded here, to the extent that it can
be known in advance.
- getTensorShapeOrBuilder() - Method in class org.tensorflow.framework.TensorInfo
-
The static shape should be recorded here, to the extent that it can
be known in advance.
- getTensorShapeOrBuilder() - Method in interface org.tensorflow.framework.TensorInfoOrBuilder
-
The static shape should be recorded here, to the extent that it can
be known in advance.
- getTensorShapeOrBuilder() - Method in class org.tensorflow.framework.TensorProto.Builder
-
Shape of the tensor.
- getTensorShapeOrBuilder() - Method in class org.tensorflow.framework.TensorProto
-
Shape of the tensor.
- getTensorShapeOrBuilder() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
Shape of the tensor.
- getTensorsList() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of tensors
- getTensorsList() - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of tensors
- getTensorsList() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of tensors
- getTensorsList() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of tensors
- getTensorsList() - Method in class onnx.OnnxProto3.AttributeProto
-
list of tensors
- getTensorsList() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of tensors
- getTensorsList() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- getTensorsList() - Method in class org.tensorflow.framework.VariantTensorDataProto
-
Tensors contained within objects being serialized.
- getTensorsList() - Method in interface org.tensorflow.framework.VariantTensorDataProtoOrBuilder
-
Tensors contained within objects being serialized.
- getTensorsOrBuilder(int) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of tensors
- getTensorsOrBuilder(int) - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of tensors
- getTensorsOrBuilder(int) - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of tensors
- getTensorsOrBuilder(int) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of tensors
- getTensorsOrBuilder(int) - Method in class onnx.OnnxProto3.AttributeProto
-
list of tensors
- getTensorsOrBuilder(int) - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of tensors
- getTensorsOrBuilder(int) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- getTensorsOrBuilder(int) - Method in class org.tensorflow.framework.VariantTensorDataProto
-
Tensors contained within objects being serialized.
- getTensorsOrBuilder(int) - Method in interface org.tensorflow.framework.VariantTensorDataProtoOrBuilder
-
Tensors contained within objects being serialized.
- getTensorsOrBuilderList() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of tensors
- getTensorsOrBuilderList() - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of tensors
- getTensorsOrBuilderList() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of tensors
- getTensorsOrBuilderList() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of tensors
- getTensorsOrBuilderList() - Method in class onnx.OnnxProto3.AttributeProto
-
list of tensors
- getTensorsOrBuilderList() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of tensors
- getTensorsOrBuilderList() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- getTensorsOrBuilderList() - Method in class org.tensorflow.framework.VariantTensorDataProto
-
Tensors contained within objects being serialized.
- getTensorsOrBuilderList() - Method in interface org.tensorflow.framework.VariantTensorDataProtoOrBuilder
-
Tensors contained within objects being serialized.
- getTensorType() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a tensor.
- getTensorType() - Method in class onnx.OnnxMlProto3.TypeProto
-
The type of a tensor.
- getTensorType() - Method in interface onnx.OnnxMlProto3.TypeProtoOrBuilder
-
The type of a tensor.
- getTensorType() - Method in class onnx.OnnxProto3.TypeProto.Builder
-
The type of a tensor.
- getTensorType() - Method in class onnx.OnnxProto3.TypeProto
-
The type of a tensor.
- getTensorType() - Method in interface onnx.OnnxProto3.TypeProtoOrBuilder
-
The type of a tensor.
- getTensorTypeBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a tensor.
- getTensorTypeBuilder() - Method in class onnx.OnnxProto3.TypeProto.Builder
-
The type of a tensor.
- getTensorTypeOrBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a tensor.
- getTensorTypeOrBuilder() - Method in class onnx.OnnxMlProto3.TypeProto
-
The type of a tensor.
- getTensorTypeOrBuilder() - Method in interface onnx.OnnxMlProto3.TypeProtoOrBuilder
-
The type of a tensor.
- getTensorTypeOrBuilder() - Method in class onnx.OnnxProto3.TypeProto.Builder
-
The type of a tensor.
- getTensorTypeOrBuilder() - Method in class onnx.OnnxProto3.TypeProto
-
The type of a tensor.
- getTensorTypeOrBuilder() - Method in interface onnx.OnnxProto3.TypeProtoOrBuilder
-
The type of a tensor.
- getTest() - Method in class org.nd4j.linalg.dataset.SplitTestAndTrain
-
- getTestMatricesWithVaryingShapes(int, char, DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
Test utility to sweep shapes given a rank
Given a rank will generate random test matrices that will cover all cases of a shape with a '1' anywhere in the shape
as well a shape with random ints that are not 0 or 1
eg.
- getTFOpMappingFunctions() - Static method in class org.nd4j.imports.converters.ImportClassMapping
-
- getThisCycleAllocations() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method returns amount of memory consumed in last successful cycle, in bytes
- getThisCycleAllocations() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns number of bytes allocated during THIS cycle
- getThreadId() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
- getThreadId() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
uint32 thread_id = 10;
- getThreadId() - Method in class org.tensorflow.framework.NodeExecStats
-
uint32 thread_id = 10;
- getThreadId() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
uint32 thread_id = 10;
- getThreadsPerInstance() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
This method returns desired number of threads per Aggregate instance
PLEASE NOTE: this method is especially important for CUDA backend.
- getThreadsPerInstance() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy
-
This method returns desired number of threads per Aggregate instance
PLEASE NOTE: this method is especially important for
CUDA backend.
- getThreadsPerInstance() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateCBOW
-
- getThreadsPerInstance() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateDot
-
This method returns desired number of threads per Aggregate instance
PLEASE NOTE: this method is especially important for CUDA backend.
- getThreadsPerInstance() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM
-
- getThreadsPerInstance() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
-
This method returns desired number of threads per Aggregate instance
PLEASE NOTE: this method is especially important for CUDA backend.
- getThreadsPerInstance() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.HierarchicSoftmax
-
This method returns desired number of threads per Aggregate instance
PLEASE NOTE: this method is especially important for CUDA backend.
- getThreshold(int) - Method in class org.nd4j.evaluation.curves.PrecisionRecallCurve
-
- getThreshold(int) - Method in class org.nd4j.evaluation.curves.RocCurve
-
- getTimelineLabel() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
string timeline_label = 8;
- getTimelineLabel() - Method in class org.tensorflow.framework.NodeExecStats
-
string timeline_label = 8;
- getTimelineLabel() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
string timeline_label = 8;
- getTimelineLabelBytes() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
string timeline_label = 8;
- getTimelineLabelBytes() - Method in class org.tensorflow.framework.NodeExecStats
-
string timeline_label = 8;
- getTimelineLabelBytes() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
string timeline_label = 8;
- getTimelineStep() - Method in class org.tensorflow.framework.GraphOptions.Builder
-
If > 0, record a timeline every this many steps.
- getTimelineStep() - Method in class org.tensorflow.framework.GraphOptions
-
If > 0, record a timeline every this many steps.
- getTimelineStep() - Method in interface org.tensorflow.framework.GraphOptionsOrBuilder
-
If > 0, record a timeline every this many steps.
- getTimeoutInMs() - Method in class org.tensorflow.framework.RunOptions.Builder
-
Time to wait for operation to complete in milliseconds.
- getTimeoutInMs() - Method in class org.tensorflow.framework.RunOptions
-
Time to wait for operation to complete in milliseconds.
- getTimeoutInMs() - Method in interface org.tensorflow.framework.RunOptionsOrBuilder
-
Time to wait for operation to complete in milliseconds.
- getTitle() - Method in class org.nd4j.evaluation.curves.BaseCurve
-
- getTitle() - Method in class org.nd4j.evaluation.curves.BaseHistogram
-
- getTitle() - Method in class org.nd4j.evaluation.curves.PrecisionRecallCurve
-
- getTitle() - Method in class org.nd4j.evaluation.curves.ReliabilityDiagram
-
- getTitle() - Method in class org.nd4j.evaluation.curves.RocCurve
-
- getTolerateDebugOpCreationFailures() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
Do not error out if debug op creation fails (e.g., due to dtype
incompatibility).
- getTolerateDebugOpCreationFailures() - Method in class org.tensorflow.framework.DebugTensorWatch
-
Do not error out if debug op creation fails (e.g., due to dtype
incompatibility).
- getTolerateDebugOpCreationFailures() - Method in interface org.tensorflow.framework.DebugTensorWatchOrBuilder
-
Do not error out if debug op creation fails (e.g., due to dtype
incompatibility).
- getTopNCorrectCount() - Method in class org.nd4j.evaluation.classification.Evaluation
-
Return the number of correct predictions according to top N value.
- getTopNTotalCount() - Method in class org.nd4j.evaluation.classification.Evaluation
-
Return the total number of top N evaluations.
- getTOrBuilder() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
tensor value
- getTOrBuilder() - Method in class onnx.OnnxMlProto3.AttributeProto
-
tensor value
- getTOrBuilder() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
tensor value
- getTOrBuilder() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
tensor value
- getTOrBuilder() - Method in class onnx.OnnxProto3.AttributeProto
-
tensor value
- getTOrBuilder() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
tensor value
- getTotalBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
These are per-node allocator memory stats.
- getTotalBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
These are per-node allocator memory stats.
- getTotalBytes() - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
These are per-node allocator memory stats.
- getTotalEventsNumber() - Method in class org.nd4j.linalg.profiler.data.primitives.StackTree
-
- getTotalEventsNumber() - Method in class org.nd4j.linalg.profiler.data.StackAggregator
-
- getToTensor() - Method in class org.tensorflow.framework.TensorConnection.Builder
-
A tensor name.
- getToTensor() - Method in class org.tensorflow.framework.TensorConnection
-
A tensor name.
- getToTensor() - Method in interface org.tensorflow.framework.TensorConnectionOrBuilder
-
A tensor name.
- getToTensorBytes() - Method in class org.tensorflow.framework.TensorConnection.Builder
-
A tensor name.
- getToTensorBytes() - Method in class org.tensorflow.framework.TensorConnection
-
A tensor name.
- getToTensorBytes() - Method in interface org.tensorflow.framework.TensorConnectionOrBuilder
-
A tensor name.
- getTraceLevel() - Method in class org.tensorflow.framework.RunOptions.Builder
-
.tensorflow.RunOptions.TraceLevel trace_level = 1;
- getTraceLevel() - Method in class org.tensorflow.framework.RunOptions
-
.tensorflow.RunOptions.TraceLevel trace_level = 1;
- getTraceLevel() - Method in interface org.tensorflow.framework.RunOptionsOrBuilder
-
.tensorflow.RunOptions.TraceLevel trace_level = 1;
- getTraceLevelValue() - Method in class org.tensorflow.framework.RunOptions.Builder
-
.tensorflow.RunOptions.TraceLevel trace_level = 1;
- getTraceLevelValue() - Method in class org.tensorflow.framework.RunOptions
-
.tensorflow.RunOptions.TraceLevel trace_level = 1;
- getTraceLevelValue() - Method in interface org.tensorflow.framework.RunOptionsOrBuilder
-
.tensorflow.RunOptions.TraceLevel trace_level = 1;
- getTrailingOnes() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getTrailingOnes() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getTrailingOnes() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get the number of trailing ones in the array shape.
- getTrain() - Method in class org.nd4j.linalg.dataset.SplitTestAndTrain
-
- getTrainable() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Whether this variable should be trained.
- getTrainable() - Method in class org.tensorflow.framework.VariableDef
-
Whether this variable should be trained.
- getTrainable() - Method in interface org.tensorflow.framework.VariableDefOrBuilder
-
Whether this variable should be trained.
- getTransportOptions() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional, implementation-specific data.
- getTransportOptions() - Method in class org.tensorflow.distruntime.RecvBufRequest
-
Optional, implementation-specific data.
- getTransportOptions() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
Optional, implementation-specific data.
- getTransportOptions() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
-
Optional, implementation-specific data.
- getTransportOptions() - Method in class org.tensorflow.distruntime.RecvBufResponse
-
Optional, implementation-specific data.
- getTransportOptions() - Method in interface org.tensorflow.distruntime.RecvBufResponseOrBuilder
-
Optional, implementation-specific data.
- getTransportOptions() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Optional information needed by the RPC subsystem.
- getTransportOptions() - Method in class org.tensorflow.distruntime.RecvTensorRequest
-
Optional information needed by the RPC subsystem.
- getTransportOptions() - Method in interface org.tensorflow.distruntime.RecvTensorRequestOrBuilder
-
Optional information needed by the RPC subsystem.
- getTransportOptions() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
-
Optional additional information about how to receive the tensor,
e.g.
- getTransportOptions() - Method in class org.tensorflow.distruntime.RecvTensorResponse
-
Optional additional information about how to receive the tensor,
e.g.
- getTransportOptions() - Method in interface org.tensorflow.distruntime.RecvTensorResponseOrBuilder
-
Optional additional information about how to receive the tensor,
e.g.
- getTransportOptionsBuilder() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional, implementation-specific data.
- getTransportOptionsBuilder() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
-
Optional, implementation-specific data.
- getTransportOptionsBuilder() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Optional information needed by the RPC subsystem.
- getTransportOptionsBuilder() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
-
Optional additional information about how to receive the tensor,
e.g.
- getTransportOptionsOrBuilder() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional, implementation-specific data.
- getTransportOptionsOrBuilder() - Method in class org.tensorflow.distruntime.RecvBufRequest
-
Optional, implementation-specific data.
- getTransportOptionsOrBuilder() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
Optional, implementation-specific data.
- getTransportOptionsOrBuilder() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
-
Optional, implementation-specific data.
- getTransportOptionsOrBuilder() - Method in class org.tensorflow.distruntime.RecvBufResponse
-
Optional, implementation-specific data.
- getTransportOptionsOrBuilder() - Method in interface org.tensorflow.distruntime.RecvBufResponseOrBuilder
-
Optional, implementation-specific data.
- getTransportOptionsOrBuilder() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Optional information needed by the RPC subsystem.
- getTransportOptionsOrBuilder() - Method in class org.tensorflow.distruntime.RecvTensorRequest
-
Optional information needed by the RPC subsystem.
- getTransportOptionsOrBuilder() - Method in interface org.tensorflow.distruntime.RecvTensorRequestOrBuilder
-
Optional information needed by the RPC subsystem.
- getTransportOptionsOrBuilder() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
-
Optional additional information about how to receive the tensor,
e.g.
- getTransportOptionsOrBuilder() - Method in class org.tensorflow.distruntime.RecvTensorResponse
-
Optional additional information about how to receive the tensor,
e.g.
- getTransportOptionsOrBuilder() - Method in interface org.tensorflow.distruntime.RecvTensorResponseOrBuilder
-
Optional additional information about how to receive the tensor,
e.g.
- getTransposedMatrixWithShape(char, int, int, int, DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getTransposedMatrixWithShape(long, long, long, DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getTrueBody() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.WhileDerivative
-
- getTrueBodyExecuted() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.IfDerivative
-
- getTrueBodyName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.WhileDerivative
-
- getTruePositiveRate(int) - Method in class org.nd4j.evaluation.curves.RocCurve
-
- getType() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
The type field MUST be present for this version of the IR.
- getType() - Method in class onnx.OnnxMlProto3.AttributeProto
-
The type field MUST be present for this version of the IR.
- getType() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
The type field MUST be present for this version of the IR.
- getType() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- getType() - Method in class onnx.OnnxMlProto3.ValueInfoProto
-
This field MUST be present in this version of the IR.
- getType() - Method in interface onnx.OnnxMlProto3.ValueInfoProtoOrBuilder
-
This field MUST be present in this version of the IR.
- getType() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
The type field MUST be present for this version of the IR.
- getType() - Method in class onnx.OnnxProto3.AttributeProto
-
The type field MUST be present for this version of the IR.
- getType() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
The type field MUST be present for this version of the IR.
- getType() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- getType() - Method in class onnx.OnnxProto3.ValueInfoProto
-
This field MUST be present in this version of the IR.
- getType() - Method in interface onnx.OnnxProto3.ValueInfoProtoOrBuilder
-
This field MUST be present in this version of the IR.
- getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImageMultiPreProcessingScaler
-
- getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler
-
- getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
- getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler
-
- getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize
-
- getType() - Method in interface org.nd4j.linalg.dataset.api.preprocessor.Normalizer
-
Get the enum opType of this normalizer
- getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
-
- getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor
-
- getType() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
int32 type = 2;
- getType() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest
-
int32 type = 2;
- getType() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
int32 type = 2;
- getType() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"type"
- getType() - Method in class org.tensorflow.framework.AttrValue
-
"type"
- getType(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(type)"
- getType(int) - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(type)"
- getType(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(type)"
- getType() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
"type"
- getType() - Method in class org.tensorflow.framework.InterconnectLink.Builder
-
string type = 2;
- getType() - Method in class org.tensorflow.framework.InterconnectLink
-
string type = 2;
- getType() - Method in interface org.tensorflow.framework.InterconnectLinkOrBuilder
-
string type = 2;
- getType() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Describes the type of one or more tensors that are accepted/produced
by this input/output arg.
- getType() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
Describes the type of one or more tensors that are accepted/produced
by this input/output arg.
- getType() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
Describes the type of one or more tensors that are accepted/produced
by this input/output arg.
- getType() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
One of the type names from attr_value.proto ("string", "list(string)",
"int", etc.).
- getType() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
One of the type names from attr_value.proto ("string", "list(string)",
"int", etc.).
- getType() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
One of the type names from attr_value.proto ("string", "list(string)",
"int", etc.).
- getType() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Device type (CPU, GPU, ...)
- getType() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties
-
Device type (CPU, GPU, ...)
- getType() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Device type (CPU, GPU, ...)
- getTypeAttr() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
if specified, attr must have type "type"
- getTypeAttr() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
if specified, attr must have type "type"
- getTypeAttr() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
if specified, attr must have type "type"
- getTypeAttrBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
if specified, attr must have type "type"
- getTypeAttrBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
if specified, attr must have type "type"
- getTypeAttrBytes() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
if specified, attr must have type "type"
- getTypeBuilder() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- getTypeBuilder() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- getTypeBytes() - Method in class org.tensorflow.framework.InterconnectLink.Builder
-
string type = 2;
- getTypeBytes() - Method in class org.tensorflow.framework.InterconnectLink
-
string type = 2;
- getTypeBytes() - Method in interface org.tensorflow.framework.InterconnectLinkOrBuilder
-
string type = 2;
- getTypeBytes() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
One of the type names from attr_value.proto ("string", "list(string)",
"int", etc.).
- getTypeBytes() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
One of the type names from attr_value.proto ("string", "list(string)",
"int", etc.).
- getTypeBytes() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
One of the type names from attr_value.proto ("string", "list(string)",
"int", etc.).
- getTypeBytes() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Device type (CPU, GPU, ...)
- getTypeBytes() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties
-
Device type (CPU, GPU, ...)
- getTypeBytes() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Device type (CPU, GPU, ...)
- getTypeCount() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(type)"
- getTypeCount() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(type)"
- getTypeCount() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(type)"
- getTypeFromByte(byte) - Static method in class org.nd4j.autodiff.samediff.serde.FlatBuffersMapper
-
This method converts enums for Op.Type
- getTypeHint() - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
Hint on how plugins should process the data in this series.
- getTypeHint() - Method in class org.tensorflow.framework.SummaryDescription
-
Hint on how plugins should process the data in this series.
- getTypeHint() - Method in interface org.tensorflow.framework.SummaryDescriptionOrBuilder
-
Hint on how plugins should process the data in this series.
- getTypeHintBytes() - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
Hint on how plugins should process the data in this series.
- getTypeHintBytes() - Method in class org.tensorflow.framework.SummaryDescription
-
Hint on how plugins should process the data in this series.
- getTypeHintBytes() - Method in interface org.tensorflow.framework.SummaryDescriptionOrBuilder
-
Hint on how plugins should process the data in this series.
- getTypeList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(type)"
- getTypeList() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(type)"
- getTypeList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(type)"
- getTypeListAttr() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
If specified, attr must have type "list(type)", and none of
type, type_attr, and number_attr may be specified.
- getTypeListAttr() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
If specified, attr must have type "list(type)", and none of
type, type_attr, and number_attr may be specified.
- getTypeListAttr() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
If specified, attr must have type "list(type)", and none of
type, type_attr, and number_attr may be specified.
- getTypeListAttrBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
If specified, attr must have type "list(type)", and none of
type, type_attr, and number_attr may be specified.
- getTypeListAttrBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
If specified, attr must have type "list(type)", and none of
type, type_attr, and number_attr may be specified.
- getTypeListAttrBytes() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
If specified, attr must have type "list(type)", and none of
type, type_attr, and number_attr may be specified.
- getTypeName() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
string type_name = 3;
- getTypeName() - Method in class org.tensorflow.framework.GraphTransferNodeInfo
-
string type_name = 3;
- getTypeName() - Method in interface org.tensorflow.framework.GraphTransferNodeInfoOrBuilder
-
string type_name = 3;
- getTypeName() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Name of the type of objects being serialized.
- getTypeName() - Method in class org.tensorflow.framework.VariantTensorDataProto
-
Name of the type of objects being serialized.
- getTypeName() - Method in interface org.tensorflow.framework.VariantTensorDataProtoOrBuilder
-
Name of the type of objects being serialized.
- getTypeNameBytes() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
string type_name = 3;
- getTypeNameBytes() - Method in class org.tensorflow.framework.GraphTransferNodeInfo
-
string type_name = 3;
- getTypeNameBytes() - Method in interface org.tensorflow.framework.GraphTransferNodeInfoOrBuilder
-
string type_name = 3;
- getTypeNameBytes() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Name of the type of objects being serialized.
- getTypeNameBytes() - Method in class org.tensorflow.framework.VariantTensorDataProto
-
Name of the type of objects being serialized.
- getTypeNameBytes() - Method in interface org.tensorflow.framework.VariantTensorDataProtoOrBuilder
-
Name of the type of objects being serialized.
- getTypeOrBuilder() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- getTypeOrBuilder() - Method in class onnx.OnnxMlProto3.ValueInfoProto
-
This field MUST be present in this version of the IR.
- getTypeOrBuilder() - Method in interface onnx.OnnxMlProto3.ValueInfoProtoOrBuilder
-
This field MUST be present in this version of the IR.
- getTypeOrBuilder() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- getTypeOrBuilder() - Method in class onnx.OnnxProto3.ValueInfoProto
-
This field MUST be present in this version of the IR.
- getTypeOrBuilder() - Method in interface onnx.OnnxProto3.ValueInfoProtoOrBuilder
-
This field MUST be present in this version of the IR.
- getTypeValue() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
The type field MUST be present for this version of the IR.
- getTypeValue() - Method in class onnx.OnnxMlProto3.AttributeProto
-
The type field MUST be present for this version of the IR.
- getTypeValue() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
The type field MUST be present for this version of the IR.
- getTypeValue() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
The type field MUST be present for this version of the IR.
- getTypeValue() - Method in class onnx.OnnxProto3.AttributeProto
-
The type field MUST be present for this version of the IR.
- getTypeValue() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
The type field MUST be present for this version of the IR.
- getTypeValue() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"type"
- getTypeValue() - Method in class org.tensorflow.framework.AttrValue
-
"type"
- getTypeValue(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(type)"
- getTypeValue(int) - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(type)"
- getTypeValue(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(type)"
- getTypeValue() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
"type"
- getTypeValue() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Describes the type of one or more tensors that are accepted/produced
by this input/output arg.
- getTypeValue() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
Describes the type of one or more tensors that are accepted/produced
by this input/output arg.
- getTypeValue() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
Describes the type of one or more tensors that are accepted/produced
by this input/output arg.
- getTypeValueList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(type)"
- getTypeValueList() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(type)"
- getTypeValueList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(type)"
- getUFactor(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- getUFactor(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLapack
-
- getUFactor(INDArray) - Method in interface org.nd4j.linalg.api.blas.Lapack
-
extracts the U (upper triangular) matrix from the LU factor result
U will be n x n matrix where n = num cols in A
- getUint32Val(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_UINT32
- getUint32Val(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_UINT32
- getUint32Val(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_UINT32
- getUint32ValCount() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_UINT32
- getUint32ValCount() - Method in class org.tensorflow.framework.TensorProto
-
DT_UINT32
- getUint32ValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_UINT32
- getUint32ValList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_UINT32
- getUint32ValList() - Method in class org.tensorflow.framework.TensorProto
-
DT_UINT32
- getUint32ValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_UINT32
- getUint64Data(int) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64Data(int) - Method in class onnx.OnnxMlProto3.TensorProto
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64Data(int) - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64Data(int) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64Data(int) - Method in class onnx.OnnxProto3.TensorProto
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64Data(int) - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64DataCount() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64DataCount() - Method in class onnx.OnnxMlProto3.TensorProto
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64DataCount() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64DataCount() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64DataCount() - Method in class onnx.OnnxProto3.TensorProto
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64DataCount() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64DataList() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64DataList() - Method in class onnx.OnnxMlProto3.TensorProto
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64DataList() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64DataList() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64DataList() - Method in class onnx.OnnxProto3.TensorProto
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64DataList() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64Val(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_UINT64
- getUint64Val(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_UINT64
- getUint64Val(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_UINT64
- getUint64ValCount() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_UINT64
- getUint64ValCount() - Method in class org.tensorflow.framework.TensorProto
-
DT_UINT64
- getUint64ValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_UINT64
- getUint64ValList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_UINT64
- getUint64ValList() - Method in class org.tensorflow.framework.TensorProto
-
DT_UINT64
- getUint64ValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_UINT64
- getUnderlyingIndices() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Return the indices buffer
- getUnderlyingIndicesOf(int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Returns the underlying indices of the element of the given index
such as there really are in the original ndarray
- getUnderlyingValues() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Return the values buffer
- getUniqueBranchesNumber() - Method in class org.nd4j.linalg.profiler.data.primitives.StackTree
-
- getUniqueBranchesNumber() - Method in class org.nd4j.linalg.profiler.data.StackAggregator
-
- getUniqueId() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.AttributeProto
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.GraphProto
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.ModelProto
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.NodeProto
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.StringStringEntryProto
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.TensorProto
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.TensorProto.Segment
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.TensorShapeProto
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.TypeProto
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.TypeProto.Map
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.ValueInfoProto
-
- getUnknownFields() - Method in class onnx.OnnxOperatorsProto3.OperatorProto
-
- getUnknownFields() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
- getUnknownFields() - Method in class onnx.OnnxProto3.AttributeProto
-
- getUnknownFields() - Method in class onnx.OnnxProto3.GraphProto
-
- getUnknownFields() - Method in class onnx.OnnxProto3.ModelProto
-
- getUnknownFields() - Method in class onnx.OnnxProto3.NodeProto
-
- getUnknownFields() - Method in class onnx.OnnxProto3.OperatorSetIdProto
-
- getUnknownFields() - Method in class onnx.OnnxProto3.StringStringEntryProto
-
- getUnknownFields() - Method in class onnx.OnnxProto3.TensorProto
-
- getUnknownFields() - Method in class onnx.OnnxProto3.TensorProto.Segment
-
- getUnknownFields() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension
-
- getUnknownFields() - Method in class onnx.OnnxProto3.TensorShapeProto
-
- getUnknownFields() - Method in class onnx.OnnxProto3.TypeProto
-
- getUnknownFields() - Method in class onnx.OnnxProto3.TypeProto.Tensor
-
- getUnknownFields() - Method in class onnx.OnnxProto3.ValueInfoProto
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.CleanupAllRequest
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.CleanupAllResponse
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.CleanupGraphRequest
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.CleanupGraphResponse
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.CloseSessionRequest
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.CloseSessionResponse
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.ClusterDef
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.CompleteGroupRequest
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.CompleteGroupResponse
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.CreateSessionRequest
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.CreateSessionResponse
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.DeregisterGraphResponse
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.ExecutorOpts
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.ExtendSessionRequest
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.ExtendSessionResponse
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.GetStatusRequest
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.GetStatusResponse
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.JobDef
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.LabeledStepStats
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.ListDevicesRequest
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.ListDevicesResponse
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.LoggingRequest
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.LoggingResponse
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.MakeCallableRequest
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.MakeCallableResponse
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.RecvBufRequest
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.RecvBufResponse
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.RecvTensorRequest
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.RecvTensorResponse
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.RegisterGraphRequest
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.RegisterGraphResponse
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.ReleaseCallableResponse
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.ResetRequest
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.ResetResponse
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.RunCallableRequest
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.RunCallableResponse
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.RunGraphRequest
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.RunGraphResponse
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.RunStepRequest
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.RunStepResponse
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.ServerDef
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.StepSequence
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.TraceOpts
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.TracingRequest
-
- getUnknownFields() - Method in class org.tensorflow.distruntime.TracingResponse
-
- getUnknownFields() - Method in class org.tensorflow.framework.AllocationDescription
-
- getUnknownFields() - Method in class org.tensorflow.framework.AllocationRecord
-
- getUnknownFields() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
- getUnknownFields() - Method in class org.tensorflow.framework.ApiDef.Arg
-
- getUnknownFields() - Method in class org.tensorflow.framework.ApiDef.Attr
-
- getUnknownFields() - Method in class org.tensorflow.framework.ApiDef.Endpoint
-
- getUnknownFields() - Method in class org.tensorflow.framework.ApiDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.ApiDefs
-
- getUnknownFields() - Method in class org.tensorflow.framework.AssetFileDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.AttrValue
-
- getUnknownFields() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
- getUnknownFields() - Method in class org.tensorflow.framework.AutoParallelOptions
-
- getUnknownFields() - Method in class org.tensorflow.framework.CallableOptions
-
- getUnknownFields() - Method in class org.tensorflow.framework.CollectionDef.AnyList
-
- getUnknownFields() - Method in class org.tensorflow.framework.CollectionDef.BytesList
-
- getUnknownFields() - Method in class org.tensorflow.framework.CollectionDef.FloatList
-
- getUnknownFields() - Method in class org.tensorflow.framework.CollectionDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.CollectionDef.Int64List
-
- getUnknownFields() - Method in class org.tensorflow.framework.CollectionDef.NodeList
-
- getUnknownFields() - Method in class org.tensorflow.framework.CondContextDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.ConfigProto.Experimental
-
- getUnknownFields() - Method in class org.tensorflow.framework.ConfigProto
-
- getUnknownFields() - Method in class org.tensorflow.framework.ControlFlowContextDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.CostGraphDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
- getUnknownFields() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo
-
- getUnknownFields() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
- getUnknownFields() - Method in class org.tensorflow.framework.CriticalSectionDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.DebuggedSourceFile
-
- getUnknownFields() - Method in class org.tensorflow.framework.DebuggedSourceFiles
-
- getUnknownFields() - Method in class org.tensorflow.framework.DebugOptions
-
- getUnknownFields() - Method in class org.tensorflow.framework.DebugTensorWatch
-
- getUnknownFields() - Method in class org.tensorflow.framework.DeviceAttributes
-
- getUnknownFields() - Method in class org.tensorflow.framework.DeviceLocality
-
- getUnknownFields() - Method in class org.tensorflow.framework.DeviceStepStats
-
- getUnknownFields() - Method in class org.tensorflow.framework.FunctionDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.FunctionDefLibrary
-
- getUnknownFields() - Method in class org.tensorflow.framework.GPUOptions.Experimental
-
- getUnknownFields() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
-
- getUnknownFields() - Method in class org.tensorflow.framework.GPUOptions
-
- getUnknownFields() - Method in class org.tensorflow.framework.GradientDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.GraphDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.GraphOptions
-
- getUnknownFields() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo
-
- getUnknownFields() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo
-
- getUnknownFields() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
-
- getUnknownFields() - Method in class org.tensorflow.framework.GraphTransferInfo
-
- getUnknownFields() - Method in class org.tensorflow.framework.GraphTransferNodeInfo
-
- getUnknownFields() - Method in class org.tensorflow.framework.GraphTransferNodeInput
-
- getUnknownFields() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo
-
- getUnknownFields() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo
-
- getUnknownFields() - Method in class org.tensorflow.framework.HistogramProto
-
- getUnknownFields() - Method in class org.tensorflow.framework.InterconnectLink
-
- getUnknownFields() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint
-
- getUnknownFields() - Method in class org.tensorflow.framework.KernelDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.LocalLinks
-
- getUnknownFields() - Method in class org.tensorflow.framework.MemoryLogRawAllocation
-
- getUnknownFields() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation
-
- getUnknownFields() - Method in class org.tensorflow.framework.MemoryLogStep
-
- getUnknownFields() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation
-
- getUnknownFields() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation
-
- getUnknownFields() - Method in class org.tensorflow.framework.MemoryLogTensorOutput
-
- getUnknownFields() - Method in class org.tensorflow.framework.MemoryStats
-
- getUnknownFields() - Method in class org.tensorflow.framework.MetaGraphDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.NameAttrList
-
- getUnknownFields() - Method in class org.tensorflow.framework.NamedTensorProto
-
- getUnknownFields() - Method in class org.tensorflow.framework.NodeDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.NodeExecStats
-
- getUnknownFields() - Method in class org.tensorflow.framework.NodeOutput
-
- getUnknownFields() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.OpDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.OpDeprecation
-
- getUnknownFields() - Method in class org.tensorflow.framework.OpList
-
- getUnknownFields() - Method in class org.tensorflow.framework.OptimizerOptions
-
- getUnknownFields() - Method in class org.tensorflow.framework.QueueRunnerDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.ReaderBaseState
-
- getUnknownFields() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
- getUnknownFields() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
- getUnknownFields() - Method in class org.tensorflow.framework.ResourceHandleProto
-
- getUnknownFields() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
-
- getUnknownFields() - Method in class org.tensorflow.framework.RewriterConfig
-
- getUnknownFields() - Method in class org.tensorflow.framework.RPCOptions
-
- getUnknownFields() - Method in class org.tensorflow.framework.RunMetadata
-
- getUnknownFields() - Method in class org.tensorflow.framework.RunOptions.Experimental
-
- getUnknownFields() - Method in class org.tensorflow.framework.RunOptions
-
- getUnknownFields() - Method in class org.tensorflow.framework.SavedModel
-
- getUnknownFields() - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.ScopedAllocatorOptions
-
- getUnknownFields() - Method in class org.tensorflow.framework.SignatureDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.StepStats
-
- getUnknownFields() - Method in class org.tensorflow.framework.Summary.Audio
-
- getUnknownFields() - Method in class org.tensorflow.framework.Summary
-
- getUnknownFields() - Method in class org.tensorflow.framework.Summary.Image
-
- getUnknownFields() - Method in class org.tensorflow.framework.Summary.Value
-
- getUnknownFields() - Method in class org.tensorflow.framework.SummaryDescription
-
- getUnknownFields() - Method in class org.tensorflow.framework.SummaryMetadata
-
- getUnknownFields() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData
-
- getUnknownFields() - Method in class org.tensorflow.framework.TensorConnection
-
- getUnknownFields() - Method in class org.tensorflow.framework.TensorDescription
-
- getUnknownFields() - Method in class org.tensorflow.framework.TensorInfo.CooSparse
-
- getUnknownFields() - Method in class org.tensorflow.framework.TensorInfo
-
- getUnknownFields() - Method in class org.tensorflow.framework.TensorProto
-
- getUnknownFields() - Method in class org.tensorflow.framework.TensorShapeProto.Dim
-
- getUnknownFields() - Method in class org.tensorflow.framework.TensorShapeProto
-
- getUnknownFields() - Method in class org.tensorflow.framework.TensorSliceProto.Extent
-
- getUnknownFields() - Method in class org.tensorflow.framework.TensorSliceProto
-
- getUnknownFields() - Method in class org.tensorflow.framework.ThreadPoolOptionProto
-
- getUnknownFields() - Method in class org.tensorflow.framework.ValuesDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.VariableDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.VariantTensorDataProto
-
- getUnknownFields() - Method in class org.tensorflow.framework.VersionDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.WhileContextDef
-
- getUnknownFields() - Method in class org.tensorflow.util.BundleEntryProto
-
- getUnknownFields() - Method in class org.tensorflow.util.BundleHeaderProto
-
- getUnknownFields() - Method in class org.tensorflow.util.IteratorStateMetadata
-
- getUnknownFields() - Method in class org.tensorflow.util.SaverDef
-
- getUnknownFields() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
- getUnknownFields() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
-
- getUnknownFields() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
-
- getUnknownFields() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
-
- getUnknownFields() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
-
- getUnknownFields() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties
-
- getUnknownFields() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice
-
- getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
-
- getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
-
- getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
-
- getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
-
- getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
-
- getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
-
- getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
-
- getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
-
- getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation
-
- getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem
-
- getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
-
- getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
-
- getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
-
- getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
-
- getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
-
- getUnknownFields() - Method in class tensorflow.TransportOptions.RecvBufRespExtra
-
- getUnknownRank() - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
If true, the number of dimensions in the shape is unknown.
- getUnknownRank() - Method in class org.tensorflow.framework.TensorShapeProto
-
If true, the number of dimensions in the shape is unknown.
- getUnknownRank() - Method in interface org.tensorflow.framework.TensorShapeProtoOrBuilder
-
If true, the number of dimensions in the shape is unknown.
- getUseExtendedProfiler() - Method in class org.tensorflow.distruntime.TraceOpts.Builder
-
If true, capture extended profiling events from TensorFlow process.
- getUseExtendedProfiler() - Method in class org.tensorflow.distruntime.TraceOpts
-
If true, capture extended profiling events from TensorFlow process.
- getUseExtendedProfiler() - Method in interface org.tensorflow.distruntime.TraceOptsOrBuilder
-
If true, capture extended profiling events from TensorFlow process.
- getUseGpuProfiler() - Method in class org.tensorflow.distruntime.TraceOpts.Builder
-
If true, capture GPU profiling events locally on each
machine.
- getUseGpuProfiler() - Method in class org.tensorflow.distruntime.TraceOpts
-
If true, capture GPU profiling events locally on each
machine.
- getUseGpuProfiler() - Method in interface org.tensorflow.distruntime.TraceOptsOrBuilder
-
If true, capture GPU profiling events locally on each
machine.
- getUseKernelProfiler() - Method in class org.tensorflow.distruntime.TraceOpts.Builder
-
If true, capture kernel events from each worker.
- getUseKernelProfiler() - Method in class org.tensorflow.distruntime.TraceOpts
-
If true, capture kernel events from each worker.
- getUseKernelProfiler() - Method in interface org.tensorflow.distruntime.TraceOptsOrBuilder
-
If true, capture kernel events from each worker.
- getUsePerSessionThreads() - Method in class org.tensorflow.framework.ConfigProto.Builder
-
If true, use a new set of threads for this session rather than the global
pool of threads.
- getUsePerSessionThreads() - Method in class org.tensorflow.framework.ConfigProto
-
If true, use a new set of threads for this session rather than the global
pool of threads.
- getUsePerSessionThreads() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder
-
If true, use a new set of threads for this session rather than the global
pool of threads.
- getUseRpcForInprocessMaster() - Method in class org.tensorflow.framework.RPCOptions.Builder
-
If true, always use RPC to contact the session target.
- getUseRpcForInprocessMaster() - Method in class org.tensorflow.framework.RPCOptions
-
If true, always use RPC to contact the session target.
- getUseRpcForInprocessMaster() - Method in interface org.tensorflow.framework.RPCOptionsOrBuilder
-
If true, always use RPC to contact the session target.
- getUseSampleProfiler() - Method in class org.tensorflow.distruntime.TraceOpts.Builder
-
If true, collect sampled profile events.
- getUseSampleProfiler() - Method in class org.tensorflow.distruntime.TraceOpts
-
If true, collect sampled profile events.
- getUseSampleProfiler() - Method in interface org.tensorflow.distruntime.TraceOptsOrBuilder
-
If true, collect sampled profile events.
- getUseStepProfiler() - Method in class org.tensorflow.distruntime.TraceOpts.Builder
-
If true, capture step profile locally in each worker.
- getUseStepProfiler() - Method in class org.tensorflow.distruntime.TraceOpts
-
If true, capture step profile locally in each worker.
- getUseStepProfiler() - Method in interface org.tensorflow.distruntime.TraceOptsOrBuilder
-
If true, capture step profile locally in each worker.
- getUseUnifiedMemory() - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
-
If true, uses CUDA unified memory for memory allocations.
- getUseUnifiedMemory() - Method in class org.tensorflow.framework.GPUOptions.Experimental
-
If true, uses CUDA unified memory for memory allocations.
- getUseUnifiedMemory() - Method in interface org.tensorflow.framework.GPUOptions.ExperimentalOrBuilder
-
If true, uses CUDA unified memory for memory allocations.
- getUUID() - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
Returns globally unique ID
- getValue() - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
string value = 2;
- getValue() - Method in class onnx.OnnxMlProto3.StringStringEntryProto
-
string value = 2;
- getValue() - Method in interface onnx.OnnxMlProto3.StringStringEntryProtoOrBuilder
-
string value = 2;
- getValue() - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
string value = 2;
- getValue() - Method in class onnx.OnnxProto3.StringStringEntryProto
-
string value = 2;
- getValue() - Method in interface onnx.OnnxProto3.StringStringEntryProtoOrBuilder
-
string value = 2;
- getValue(Field) - Method in class org.nd4j.autodiff.functions.DifferentialFunction
-
Get the value for a given property
for this function
- getValue(Field) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.BaseConvolutionConfig
-
Get the value for a given property
for this function
- getValue(Field) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D
-
- getValue(Field) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D
-
- getValue(Field) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D
-
- getValue(Field) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D
-
- getValue(Field) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DTF
-
- getValue(Field) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3D
-
- getValue(Field) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D
-
- getValue() - Method in class org.nd4j.linalg.indexing.conditions.And
-
- getValue() - Method in class org.nd4j.linalg.indexing.conditions.BaseCondition
-
- getValue() - Method in interface org.nd4j.linalg.indexing.conditions.Condition
-
- getValue() - Method in class org.nd4j.linalg.indexing.conditions.ConditionEquals
-
- getValue() - Method in class org.nd4j.linalg.indexing.conditions.Not
-
- getValue() - Method in class org.nd4j.linalg.indexing.conditions.Or
-
- getValue(int) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
-
repeated .google.protobuf.Any value = 1;
- getValue(int) - Method in class org.tensorflow.framework.CollectionDef.AnyList
-
repeated .google.protobuf.Any value = 1;
- getValue(int) - Method in interface org.tensorflow.framework.CollectionDef.AnyListOrBuilder
-
repeated .google.protobuf.Any value = 1;
- getValue(int) - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder
-
repeated bytes value = 1;
- getValue(int) - Method in class org.tensorflow.framework.CollectionDef.BytesList
-
repeated bytes value = 1;
- getValue(int) - Method in interface org.tensorflow.framework.CollectionDef.BytesListOrBuilder
-
repeated bytes value = 1;
- getValue(int) - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder
-
repeated float value = 1 [packed = true];
- getValue(int) - Method in class org.tensorflow.framework.CollectionDef.FloatList
-
repeated float value = 1 [packed = true];
- getValue(int) - Method in interface org.tensorflow.framework.CollectionDef.FloatListOrBuilder
-
repeated float value = 1 [packed = true];
- getValue(int) - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder
-
repeated int64 value = 1 [packed = true];
- getValue(int) - Method in class org.tensorflow.framework.CollectionDef.Int64List
-
repeated int64 value = 1 [packed = true];
- getValue(int) - Method in interface org.tensorflow.framework.CollectionDef.Int64ListOrBuilder
-
repeated int64 value = 1 [packed = true];
- getValue(int) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder
-
repeated string value = 1;
- getValue(int) - Method in class org.tensorflow.framework.CollectionDef.NodeList
-
repeated string value = 1;
- getValue(int) - Method in interface org.tensorflow.framework.CollectionDef.NodeListOrBuilder
-
repeated string value = 1;
- getValue(int) - Method in class org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- getValue(int) - Method in class org.tensorflow.framework.Summary
-
Set of values for the summary.
- getValue(int) - Method in interface org.tensorflow.framework.SummaryOrBuilder
-
Set of values for the summary.
- getValueBuilder(int) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
-
repeated .google.protobuf.Any value = 1;
- getValueBuilder(int) - Method in class org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- getValueBuilderList() - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
-
repeated .google.protobuf.Any value = 1;
- getValueBuilderList() - Method in class org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- getValueBytes() - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
string value = 2;
- getValueBytes() - Method in class onnx.OnnxMlProto3.StringStringEntryProto
-
string value = 2;
- getValueBytes() - Method in interface onnx.OnnxMlProto3.StringStringEntryProtoOrBuilder
-
string value = 2;
- getValueBytes() - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
string value = 2;
- getValueBytes() - Method in class onnx.OnnxProto3.StringStringEntryProto
-
string value = 2;
- getValueBytes() - Method in interface onnx.OnnxProto3.StringStringEntryProtoOrBuilder
-
string value = 2;
- getValueBytes(int) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder
-
repeated string value = 1;
- getValueBytes(int) - Method in class org.tensorflow.framework.CollectionDef.NodeList
-
repeated string value = 1;
- getValueBytes(int) - Method in interface org.tensorflow.framework.CollectionDef.NodeListOrBuilder
-
repeated string value = 1;
- getValueCase() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
- getValueCase() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
-
- getValueCase() - Method in interface onnx.OnnxMlProto3.TensorShapeProto.DimensionOrBuilder
-
- getValueCase() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
- getValueCase() - Method in class onnx.OnnxMlProto3.TypeProto
-
- getValueCase() - Method in interface onnx.OnnxMlProto3.TypeProtoOrBuilder
-
- getValueCase() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
- getValueCase() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension
-
- getValueCase() - Method in interface onnx.OnnxProto3.TensorShapeProto.DimensionOrBuilder
-
- getValueCase() - Method in class onnx.OnnxProto3.TypeProto.Builder
-
- getValueCase() - Method in class onnx.OnnxProto3.TypeProto
-
- getValueCase() - Method in interface onnx.OnnxProto3.TypeProtoOrBuilder
-
- getValueCase() - Method in class org.tensorflow.framework.AttrValue.Builder
-
- getValueCase() - Method in class org.tensorflow.framework.AttrValue
-
- getValueCase() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
- getValueCase() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
- getValueCase() - Method in class org.tensorflow.framework.Summary.Value
-
- getValueCase() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
- getValueCount() - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
-
repeated .google.protobuf.Any value = 1;
- getValueCount() - Method in class org.tensorflow.framework.CollectionDef.AnyList
-
repeated .google.protobuf.Any value = 1;
- getValueCount() - Method in interface org.tensorflow.framework.CollectionDef.AnyListOrBuilder
-
repeated .google.protobuf.Any value = 1;
- getValueCount() - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder
-
repeated bytes value = 1;
- getValueCount() - Method in class org.tensorflow.framework.CollectionDef.BytesList
-
repeated bytes value = 1;
- getValueCount() - Method in interface org.tensorflow.framework.CollectionDef.BytesListOrBuilder
-
repeated bytes value = 1;
- getValueCount() - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder
-
repeated float value = 1 [packed = true];
- getValueCount() - Method in class org.tensorflow.framework.CollectionDef.FloatList
-
repeated float value = 1 [packed = true];
- getValueCount() - Method in interface org.tensorflow.framework.CollectionDef.FloatListOrBuilder
-
repeated float value = 1 [packed = true];
- getValueCount() - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder
-
repeated int64 value = 1 [packed = true];
- getValueCount() - Method in class org.tensorflow.framework.CollectionDef.Int64List
-
repeated int64 value = 1 [packed = true];
- getValueCount() - Method in interface org.tensorflow.framework.CollectionDef.Int64ListOrBuilder
-
repeated int64 value = 1 [packed = true];
- getValueCount() - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder
-
repeated string value = 1;
- getValueCount() - Method in class org.tensorflow.framework.CollectionDef.NodeList
-
repeated string value = 1;
- getValueCount() - Method in interface org.tensorflow.framework.CollectionDef.NodeListOrBuilder
-
repeated string value = 1;
- getValueCount() - Method in class org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- getValueCount() - Method in class org.tensorflow.framework.Summary
-
Set of values for the summary.
- getValueCount() - Method in interface org.tensorflow.framework.SummaryOrBuilder
-
Set of values for the summary.
- getValueDescriptor() - Method in enum onnx.OnnxMlProto3.AttributeProto.AttributeType
-
- getValueDescriptor() - Method in enum onnx.OnnxMlProto3.TensorProto.DataType
-
- getValueDescriptor() - Method in enum onnx.OnnxMlProto3.Version
-
- getValueDescriptor() - Method in enum onnx.OnnxOperatorsProto3.OperatorProto.OperatorStatus
-
- getValueDescriptor() - Method in enum onnx.OnnxProto3.AttributeProto.AttributeType
-
- getValueDescriptor() - Method in enum onnx.OnnxProto3.TensorProto.DataType
-
- getValueDescriptor() - Method in enum onnx.OnnxProto3.Version
-
- getValueDescriptor() - Method in enum org.tensorflow.framework.ApiDef.Visibility
-
- getValueDescriptor() - Method in enum org.tensorflow.framework.Code
-
- getValueDescriptor() - Method in enum org.tensorflow.framework.DataType
-
- getValueDescriptor() - Method in enum org.tensorflow.framework.GraphTransferInfo.Destination
-
- getValueDescriptor() - Method in enum org.tensorflow.framework.OptimizerOptions.GlobalJitLevel
-
- getValueDescriptor() - Method in enum org.tensorflow.framework.OptimizerOptions.Level
-
- getValueDescriptor() - Method in enum org.tensorflow.framework.RewriterConfig.MemOptType
-
- getValueDescriptor() - Method in enum org.tensorflow.framework.RewriterConfig.NumIterationsType
-
- getValueDescriptor() - Method in enum org.tensorflow.framework.RewriterConfig.Toggle
-
- getValueDescriptor() - Method in enum org.tensorflow.framework.RunOptions.TraceLevel
-
- getValueDescriptor() - Method in enum org.tensorflow.util.BundleHeaderProto.Endianness
-
- getValueDescriptor() - Method in enum org.tensorflow.util.SaverDef.CheckpointFormatVersion
-
- getValueInfo(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
Information for the values in the graph.
- getValueInfo(int) - Method in class onnx.OnnxMlProto3.GraphProto
-
Information for the values in the graph.
- getValueInfo(int) - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
Information for the values in the graph.
- getValueInfo(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
Information for the values in the graph.
- getValueInfo(int) - Method in class onnx.OnnxProto3.GraphProto
-
Information for the values in the graph.
- getValueInfo(int) - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
Information for the values in the graph.
- getValueInfoBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
Information for the values in the graph.
- getValueInfoBuilder(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
Information for the values in the graph.
- getValueInfoBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
Information for the values in the graph.
- getValueInfoBuilderList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
Information for the values in the graph.
- getValueInfoCount() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
Information for the values in the graph.
- getValueInfoCount() - Method in class onnx.OnnxMlProto3.GraphProto
-
Information for the values in the graph.
- getValueInfoCount() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
Information for the values in the graph.
- getValueInfoCount() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
Information for the values in the graph.
- getValueInfoCount() - Method in class onnx.OnnxProto3.GraphProto
-
Information for the values in the graph.
- getValueInfoCount() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
Information for the values in the graph.
- getValueInfoList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
Information for the values in the graph.
- getValueInfoList() - Method in class onnx.OnnxMlProto3.GraphProto
-
Information for the values in the graph.
- getValueInfoList() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
Information for the values in the graph.
- getValueInfoList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
Information for the values in the graph.
- getValueInfoList() - Method in class onnx.OnnxProto3.GraphProto
-
Information for the values in the graph.
- getValueInfoList() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
Information for the values in the graph.
- getValueInfoOrBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
Information for the values in the graph.
- getValueInfoOrBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto
-
Information for the values in the graph.
- getValueInfoOrBuilder(int) - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
Information for the values in the graph.
- getValueInfoOrBuilder(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
Information for the values in the graph.
- getValueInfoOrBuilder(int) - Method in class onnx.OnnxProto3.GraphProto
-
Information for the values in the graph.
- getValueInfoOrBuilder(int) - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
Information for the values in the graph.
- getValueInfoOrBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
Information for the values in the graph.
- getValueInfoOrBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto
-
Information for the values in the graph.
- getValueInfoOrBuilderList() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
Information for the values in the graph.
- getValueInfoOrBuilderList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
Information for the values in the graph.
- getValueInfoOrBuilderList() - Method in class onnx.OnnxProto3.GraphProto
-
Information for the values in the graph.
- getValueInfoOrBuilderList() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
Information for the values in the graph.
- getValueList() - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
-
repeated .google.protobuf.Any value = 1;
- getValueList() - Method in class org.tensorflow.framework.CollectionDef.AnyList
-
repeated .google.protobuf.Any value = 1;
- getValueList() - Method in interface org.tensorflow.framework.CollectionDef.AnyListOrBuilder
-
repeated .google.protobuf.Any value = 1;
- getValueList() - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder
-
repeated bytes value = 1;
- getValueList() - Method in class org.tensorflow.framework.CollectionDef.BytesList
-
repeated bytes value = 1;
- getValueList() - Method in interface org.tensorflow.framework.CollectionDef.BytesListOrBuilder
-
repeated bytes value = 1;
- getValueList() - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder
-
repeated float value = 1 [packed = true];
- getValueList() - Method in class org.tensorflow.framework.CollectionDef.FloatList
-
repeated float value = 1 [packed = true];
- getValueList() - Method in interface org.tensorflow.framework.CollectionDef.FloatListOrBuilder
-
repeated float value = 1 [packed = true];
- getValueList() - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder
-
repeated int64 value = 1 [packed = true];
- getValueList() - Method in class org.tensorflow.framework.CollectionDef.Int64List
-
repeated int64 value = 1 [packed = true];
- getValueList() - Method in interface org.tensorflow.framework.CollectionDef.Int64ListOrBuilder
-
repeated int64 value = 1 [packed = true];
- getValueList() - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder
-
repeated string value = 1;
- getValueList() - Method in class org.tensorflow.framework.CollectionDef.NodeList
-
repeated string value = 1;
- getValueList() - Method in interface org.tensorflow.framework.CollectionDef.NodeListOrBuilder
-
repeated string value = 1;
- getValueList() - Method in class org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- getValueList() - Method in class org.tensorflow.framework.Summary
-
Set of values for the summary.
- getValueList() - Method in interface org.tensorflow.framework.SummaryOrBuilder
-
Set of values for the summary.
- getValueOrBuilder(int) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
-
repeated .google.protobuf.Any value = 1;
- getValueOrBuilder(int) - Method in class org.tensorflow.framework.CollectionDef.AnyList
-
repeated .google.protobuf.Any value = 1;
- getValueOrBuilder(int) - Method in interface org.tensorflow.framework.CollectionDef.AnyListOrBuilder
-
repeated .google.protobuf.Any value = 1;
- getValueOrBuilder(int) - Method in class org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- getValueOrBuilder(int) - Method in class org.tensorflow.framework.Summary
-
Set of values for the summary.
- getValueOrBuilder(int) - Method in interface org.tensorflow.framework.SummaryOrBuilder
-
Set of values for the summary.
- getValueOrBuilderList() - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
-
repeated .google.protobuf.Any value = 1;
- getValueOrBuilderList() - Method in class org.tensorflow.framework.CollectionDef.AnyList
-
repeated .google.protobuf.Any value = 1;
- getValueOrBuilderList() - Method in interface org.tensorflow.framework.CollectionDef.AnyListOrBuilder
-
repeated .google.protobuf.Any value = 1;
- getValueOrBuilderList() - Method in class org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- getValueOrBuilderList() - Method in class org.tensorflow.framework.Summary
-
Set of values for the summary.
- getValueOrBuilderList() - Method in interface org.tensorflow.framework.SummaryOrBuilder
-
Set of values for the summary.
- getValues() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getValues(int) - Method in class org.tensorflow.framework.ValuesDef.Builder
-
Value names that have been seen in this context.
- getValues(int) - Method in class org.tensorflow.framework.ValuesDef
-
Value names that have been seen in this context.
- getValues(int) - Method in interface org.tensorflow.framework.ValuesDefOrBuilder
-
Value names that have been seen in this context.
- getValuesBytes(int) - Method in class org.tensorflow.framework.ValuesDef.Builder
-
Value names that have been seen in this context.
- getValuesBytes(int) - Method in class org.tensorflow.framework.ValuesDef
-
Value names that have been seen in this context.
- getValuesBytes(int) - Method in interface org.tensorflow.framework.ValuesDefOrBuilder
-
Value names that have been seen in this context.
- getValuesCount() - Method in class org.tensorflow.framework.ValuesDef.Builder
-
Value names that have been seen in this context.
- getValuesCount() - Method in class org.tensorflow.framework.ValuesDef
-
Value names that have been seen in this context.
- getValuesCount() - Method in interface org.tensorflow.framework.ValuesDefOrBuilder
-
Value names that have been seen in this context.
- getValuesDef() - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Values and external values in control flow context.
- getValuesDef() - Method in class org.tensorflow.framework.CondContextDef
-
Values and external values in control flow context.
- getValuesDef() - Method in interface org.tensorflow.framework.CondContextDefOrBuilder
-
Values and external values in control flow context.
- getValuesDef() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Values and external values in control flow context.
- getValuesDef() - Method in class org.tensorflow.framework.WhileContextDef
-
Values and external values in control flow context.
- getValuesDef() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder
-
Values and external values in control flow context.
- getValuesDefBuilder() - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Values and external values in control flow context.
- getValuesDefBuilder() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Values and external values in control flow context.
- getValuesDefOrBuilder() - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Values and external values in control flow context.
- getValuesDefOrBuilder() - Method in class org.tensorflow.framework.CondContextDef
-
Values and external values in control flow context.
- getValuesDefOrBuilder() - Method in interface org.tensorflow.framework.CondContextDefOrBuilder
-
Values and external values in control flow context.
- getValuesDefOrBuilder() - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Values and external values in control flow context.
- getValuesDefOrBuilder() - Method in class org.tensorflow.framework.WhileContextDef
-
Values and external values in control flow context.
- getValuesDefOrBuilder() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder
-
Values and external values in control flow context.
- getValuesList() - Method in class org.tensorflow.framework.ValuesDef.Builder
-
Value names that have been seen in this context.
- getValuesList() - Method in class org.tensorflow.framework.ValuesDef
-
Value names that have been seen in this context.
- getValuesList() - Method in interface org.tensorflow.framework.ValuesDefOrBuilder
-
Value names that have been seen in this context.
- getValuesTensorName() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
The shape of the values Tensor is [?].
- getValuesTensorName() - Method in class org.tensorflow.framework.TensorInfo.CooSparse
-
The shape of the values Tensor is [?].
- getValuesTensorName() - Method in interface org.tensorflow.framework.TensorInfo.CooSparseOrBuilder
-
The shape of the values Tensor is [?].
- getValuesTensorNameBytes() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
The shape of the values Tensor is [?].
- getValuesTensorNameBytes() - Method in class org.tensorflow.framework.TensorInfo.CooSparse
-
The shape of the values Tensor is [?].
- getValuesTensorNameBytes() - Method in interface org.tensorflow.framework.TensorInfo.CooSparseOrBuilder
-
The shape of the values Tensor is [?].
- getValueType() - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
This field MUST be present for this version of the IR.
- getValueType() - Method in class onnx.OnnxMlProto3.TypeProto.Map
-
This field MUST be present for this version of the IR.
- getValueType() - Method in interface onnx.OnnxMlProto3.TypeProto.MapOrBuilder
-
This field MUST be present for this version of the IR.
- getValueTypeBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
This field MUST be present for this version of the IR.
- getValueTypeOrBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
This field MUST be present for this version of the IR.
- getValueTypeOrBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Map
-
This field MUST be present for this version of the IR.
- getValueTypeOrBuilder() - Method in interface onnx.OnnxMlProto3.TypeProto.MapOrBuilder
-
This field MUST be present for this version of the IR.
- getVariable(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Get the variable based on the opName
- getVariableName() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the variable tensor.
- getVariableName() - Method in class org.tensorflow.framework.VariableDef
-
Name of the variable tensor.
- getVariableName() - Method in interface org.tensorflow.framework.VariableDefOrBuilder
-
Name of the variable tensor.
- getVariableNameBytes() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the variable tensor.
- getVariableNameBytes() - Method in class org.tensorflow.framework.VariableDef
-
Name of the variable tensor.
- getVariableNameBytes() - Method in interface org.tensorflow.framework.VariableDefOrBuilder
-
Name of the variable tensor.
- getVariableOutputFunction(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Get the differential function (if any) that this variable is the output for
- getVariantVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
- getVariantVal(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_VARIANT
- getVariantVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_VARIANT
- getVariantValBuilder(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
- getVariantValBuilderList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
- getVariantValCount() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
- getVariantValCount() - Method in class org.tensorflow.framework.TensorProto
-
DT_VARIANT
- getVariantValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_VARIANT
- getVariantValList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
- getVariantValList() - Method in class org.tensorflow.framework.TensorProto
-
DT_VARIANT
- getVariantValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_VARIANT
- getVariantValOrBuilder(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
- getVariantValOrBuilder(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_VARIANT
- getVariantValOrBuilder(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_VARIANT
- getVariantValOrBuilderList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
- getVariantValOrBuilderList() - Method in class org.tensorflow.framework.TensorProto
-
DT_VARIANT
- getVariantValOrBuilderList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_VARIANT
- getVarNameForFieldAndFunction(DifferentialFunction, String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Get the variable name to use
for resolving a given field
for a given function during import time.
- getVarOffset(int) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Offset of this variable into the full variable.
- getVarOffset(int) - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
Offset of this variable into the full variable.
- getVarOffset(int) - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Offset of this variable into the full variable.
- getVarOffsetCount() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Offset of this variable into the full variable.
- getVarOffsetCount() - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
Offset of this variable into the full variable.
- getVarOffsetCount() - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Offset of this variable into the full variable.
- getVarOffsetList() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Offset of this variable into the full variable.
- getVarOffsetList() - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
Offset of this variable into the full variable.
- getVarOffsetList() - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Offset of this variable into the full variable.
- getVarShape(int) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of this variable.
- getVarShape(int) - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
Shape of this variable.
- getVarShape(int) - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Shape of this variable.
- getVarShapeCount() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of this variable.
- getVarShapeCount() - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
Shape of this variable.
- getVarShapeCount() - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Shape of this variable.
- getVarShapeList() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of this variable.
- getVarShapeList() - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
Shape of this variable.
- getVarShapeList() - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Shape of this variable.
- getVectorCoordinates() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getVectorCoordinates() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Returns the indices of non-zero element of the vector
- getVectorCoordinates() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
-
Return the minor pointers.
- getVectorCoordinates() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Return a array of non-major pointers
i.e.
- getVectorCoordinates() - Method in interface org.nd4j.linalg.api.ndarray.ISparseNDArray
-
Return a array of non-major pointers
i.e.
- getVendor() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Vendor (Intel, nvidia, ...)
- getVendor() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties
-
Vendor (Intel, nvidia, ...)
- getVendor() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Vendor (Intel, nvidia, ...)
- getVendorBytes() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Vendor (Intel, nvidia, ...)
- getVendorBytes() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties
-
Vendor (Intel, nvidia, ...)
- getVendorBytes() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Vendor (Intel, nvidia, ...)
- getVersion() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
The version of the operator set being identified.
- getVersion() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto
-
The version of the operator set being identified.
- getVersion() - Method in interface onnx.OnnxMlProto3.OperatorSetIdProtoOrBuilder
-
The version of the operator set being identified.
- getVersion() - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
The version of the operator set being identified.
- getVersion() - Method in class onnx.OnnxProto3.OperatorSetIdProto
-
The version of the operator set being identified.
- getVersion() - Method in interface onnx.OnnxProto3.OperatorSetIdProtoOrBuilder
-
The version of the operator set being identified.
- getVersion() - Method in class org.tensorflow.framework.GraphDef.Builder
-
Deprecated.
- getVersion() - Method in class org.tensorflow.framework.GraphDef
-
Deprecated.
- getVersion() - Method in interface org.tensorflow.framework.GraphDefOrBuilder
-
Deprecated.
- getVersion() - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
First GraphDef version at which the op is disallowed.
- getVersion() - Method in class org.tensorflow.framework.OpDeprecation
-
First GraphDef version at which the op is disallowed.
- getVersion() - Method in interface org.tensorflow.framework.OpDeprecationOrBuilder
-
First GraphDef version at which the op is disallowed.
- getVersion() - Method in class org.tensorflow.util.BundleHeaderProto.Builder
-
Versioning of the tensor bundle format.
- getVersion() - Method in class org.tensorflow.util.BundleHeaderProto
-
Versioning of the tensor bundle format.
- getVersion() - Method in interface org.tensorflow.util.BundleHeaderProtoOrBuilder
-
Versioning of the tensor bundle format.
- getVersion() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
A user-specified version string.
- getVersion() - Method in class org.tensorflow.util.IteratorStateMetadata
-
A user-specified version string.
- getVersion() - Method in interface org.tensorflow.util.IteratorStateMetadataOrBuilder
-
A user-specified version string.
- getVersion() - Method in class org.tensorflow.util.SaverDef.Builder
-
.tensorflow.SaverDef.CheckpointFormatVersion version = 7;
- getVersion() - Method in class org.tensorflow.util.SaverDef
-
.tensorflow.SaverDef.CheckpointFormatVersion version = 7;
- getVersion() - Method in interface org.tensorflow.util.SaverDefOrBuilder
-
.tensorflow.SaverDef.CheckpointFormatVersion version = 7;
- getVersionBuilder() - Method in class org.tensorflow.util.BundleHeaderProto.Builder
-
Versioning of the tensor bundle format.
- getVersionBytes() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
A user-specified version string.
- getVersionBytes() - Method in class org.tensorflow.util.IteratorStateMetadata
-
A user-specified version string.
- getVersionBytes() - Method in interface org.tensorflow.util.IteratorStateMetadataOrBuilder
-
A user-specified version string.
- getVersionDef() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
This is the version for all the ops that will be enqueued by the client.
- getVersionDef() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
-
This is the version for all the ops that will be enqueued by the client.
- getVersionDef() - Method in interface tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder
-
This is the version for all the ops that will be enqueued by the client.
- getVersionDefBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
This is the version for all the ops that will be enqueued by the client.
- getVersionDefOrBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
This is the version for all the ops that will be enqueued by the client.
- getVersionDefOrBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
-
This is the version for all the ops that will be enqueued by the client.
- getVersionDefOrBuilder() - Method in interface tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder
-
This is the version for all the ops that will be enqueued by the client.
- getVersionInfos() - Static method in class org.nd4j.versioncheck.VersionCheck
-
- getVersionNumber() - Method in class org.tensorflow.framework.TensorProto.Builder
-
Version number.
- getVersionNumber() - Method in class org.tensorflow.framework.TensorProto
-
Version number.
- getVersionNumber() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
Version number.
- getVersionOrBuilder() - Method in class org.tensorflow.util.BundleHeaderProto.Builder
-
Versioning of the tensor bundle format.
- getVersionOrBuilder() - Method in class org.tensorflow.util.BundleHeaderProto
-
Versioning of the tensor bundle format.
- getVersionOrBuilder() - Method in interface org.tensorflow.util.BundleHeaderProtoOrBuilder
-
Versioning of the tensor bundle format.
- getVersions() - Method in class org.tensorflow.framework.GraphDef.Builder
-
Compatibility versions of the graph.
- getVersions() - Method in class org.tensorflow.framework.GraphDef
-
Compatibility versions of the graph.
- getVersions() - Method in interface org.tensorflow.framework.GraphDefOrBuilder
-
Compatibility versions of the graph.
- getVersionsBuilder() - Method in class org.tensorflow.framework.GraphDef.Builder
-
Compatibility versions of the graph.
- getVersionsOrBuilder() - Method in class org.tensorflow.framework.GraphDef.Builder
-
Compatibility versions of the graph.
- getVersionsOrBuilder() - Method in class org.tensorflow.framework.GraphDef
-
Compatibility versions of the graph.
- getVersionsOrBuilder() - Method in interface org.tensorflow.framework.GraphDefOrBuilder
-
Compatibility versions of the graph.
- getVersionValue() - Method in class org.tensorflow.util.SaverDef.Builder
-
.tensorflow.SaverDef.CheckpointFormatVersion version = 7;
- getVersionValue() - Method in class org.tensorflow.util.SaverDef
-
.tensorflow.SaverDef.CheckpointFormatVersion version = 7;
- getVersionValue() - Method in interface org.tensorflow.util.SaverDefOrBuilder
-
.tensorflow.SaverDef.CheckpointFormatVersion version = 7;
- getVirtualDevices(int) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
-
The multi virtual device settings.
- getVirtualDevices(int) - Method in class org.tensorflow.framework.GPUOptions.Experimental
-
The multi virtual device settings.
- getVirtualDevices(int) - Method in interface org.tensorflow.framework.GPUOptions.ExperimentalOrBuilder
-
The multi virtual device settings.
- getVirtualDevicesBuilder(int) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
-
The multi virtual device settings.
- getVirtualDevicesBuilderList() - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
-
The multi virtual device settings.
- getVirtualDevicesCount() - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
-
The multi virtual device settings.
- getVirtualDevicesCount() - Method in class org.tensorflow.framework.GPUOptions.Experimental
-
The multi virtual device settings.
- getVirtualDevicesCount() - Method in interface org.tensorflow.framework.GPUOptions.ExperimentalOrBuilder
-
The multi virtual device settings.
- getVirtualDevicesList() - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
-
The multi virtual device settings.
- getVirtualDevicesList() - Method in class org.tensorflow.framework.GPUOptions.Experimental
-
The multi virtual device settings.
- getVirtualDevicesList() - Method in interface org.tensorflow.framework.GPUOptions.ExperimentalOrBuilder
-
The multi virtual device settings.
- getVirtualDevicesOrBuilder(int) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
-
The multi virtual device settings.
- getVirtualDevicesOrBuilder(int) - Method in class org.tensorflow.framework.GPUOptions.Experimental
-
The multi virtual device settings.
- getVirtualDevicesOrBuilder(int) - Method in interface org.tensorflow.framework.GPUOptions.ExperimentalOrBuilder
-
The multi virtual device settings.
- getVirtualDevicesOrBuilderList() - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
-
The multi virtual device settings.
- getVirtualDevicesOrBuilderList() - Method in class org.tensorflow.framework.GPUOptions.Experimental
-
The multi virtual device settings.
- getVirtualDevicesOrBuilderList() - Method in interface org.tensorflow.framework.GPUOptions.ExperimentalOrBuilder
-
The multi virtual device settings.
- getVisibility() - Method in class org.tensorflow.framework.ApiDef.Builder
-
.tensorflow.ApiDef.Visibility visibility = 2;
- getVisibility() - Method in class org.tensorflow.framework.ApiDef
-
.tensorflow.ApiDef.Visibility visibility = 2;
- getVisibility() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
.tensorflow.ApiDef.Visibility visibility = 2;
- getVisibilityValue() - Method in class org.tensorflow.framework.ApiDef.Builder
-
.tensorflow.ApiDef.Visibility visibility = 2;
- getVisibilityValue() - Method in class org.tensorflow.framework.ApiDef
-
.tensorflow.ApiDef.Visibility visibility = 2;
- getVisibilityValue() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
.tensorflow.ApiDef.Visibility visibility = 2;
- getVisibleDeviceList() - Method in class org.tensorflow.framework.GPUOptions.Builder
-
A comma-separated list of GPU ids that determines the 'visible'
to 'virtual' mapping of GPU devices.
- getVisibleDeviceList() - Method in class org.tensorflow.framework.GPUOptions
-
A comma-separated list of GPU ids that determines the 'visible'
to 'virtual' mapping of GPU devices.
- getVisibleDeviceList() - Method in interface org.tensorflow.framework.GPUOptionsOrBuilder
-
A comma-separated list of GPU ids that determines the 'visible'
to 'virtual' mapping of GPU devices.
- getVisibleDeviceListBytes() - Method in class org.tensorflow.framework.GPUOptions.Builder
-
A comma-separated list of GPU ids that determines the 'visible'
to 'virtual' mapping of GPU devices.
- getVisibleDeviceListBytes() - Method in class org.tensorflow.framework.GPUOptions
-
A comma-separated list of GPU ids that determines the 'visible'
to 'virtual' mapping of GPU devices.
- getVisibleDeviceListBytes() - Method in interface org.tensorflow.framework.GPUOptionsOrBuilder
-
A comma-separated list of GPU ids that determines the 'visible'
to 'virtual' mapping of GPU devices.
- getWhere(INDArray, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getWhere(Number, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getWhere(INDArray, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getWhere(Number, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getWhere(INDArray, Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Boolean indexing:
Return the element if it fulfills the condition in
result array
- getWhere(Number, Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Boolean indexing:
Return the element if it fulfills the condition in
result array
- getWhileCtxt() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder
-
.tensorflow.WhileContextDef while_ctxt = 2;
- getWhileCtxt() - Method in class org.tensorflow.framework.ControlFlowContextDef
-
.tensorflow.WhileContextDef while_ctxt = 2;
- getWhileCtxt() - Method in interface org.tensorflow.framework.ControlFlowContextDefOrBuilder
-
.tensorflow.WhileContextDef while_ctxt = 2;
- getWhileCtxtBuilder() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder
-
.tensorflow.WhileContextDef while_ctxt = 2;
- getWhileCtxtOrBuilder() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder
-
.tensorflow.WhileContextDef while_ctxt = 2;
- getWhileCtxtOrBuilder() - Method in class org.tensorflow.framework.ControlFlowContextDef
-
.tensorflow.WhileContextDef while_ctxt = 2;
- getWhileCtxtOrBuilder() - Method in interface org.tensorflow.framework.ControlFlowContextDefOrBuilder
-
.tensorflow.WhileContextDef while_ctxt = 2;
- getWidth() - Method in class org.tensorflow.framework.Summary.Image.Builder
-
int32 width = 2;
- getWidth() - Method in class org.tensorflow.framework.Summary.Image
-
int32 width = 2;
- getWidth() - Method in interface org.tensorflow.framework.Summary.ImageOrBuilder
-
int32 width = 2;
- getWorkFinished() - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
int64 work_finished = 2;
- getWorkFinished() - Method in class org.tensorflow.framework.ReaderBaseState
-
int64 work_finished = 2;
- getWorkFinished() - Method in interface org.tensorflow.framework.ReaderBaseStateOrBuilder
-
int64 work_finished = 2;
- getWorkspaceConfiguration() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method returns WorkspaceConfiguration bean that was used for given Workspace instance
- getWorkspaceForCurrentThread() - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
This method will return workspace with default configuration and default id.
- getWorkspaceForCurrentThread(String) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
- getWorkspaceManager() - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method returns WorkspaceManager implementation to be used within this JVM process
- getWorkspaceName(T) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr
-
- getWorkspaceName(T) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr
-
- getWorkspaceType() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
- getWorkspaceType() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- getWorkStarted() - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
int64 work_started = 1;
- getWorkStarted() - Method in class org.tensorflow.framework.ReaderBaseState
-
int64 work_started = 1;
- getWorkStarted() - Method in interface org.tensorflow.framework.ReaderBaseStateOrBuilder
-
int64 work_started = 1;
- getX() - Method in class org.nd4j.evaluation.curves.BaseCurve
-
- getX() - Method in class org.nd4j.evaluation.curves.PrecisionRecallCurve
-
- getX() - Method in class org.nd4j.evaluation.curves.ReliabilityDiagram
-
- getX() - Method in class org.nd4j.evaluation.curves.RocCurve
-
- getY() - Method in class org.nd4j.evaluation.curves.BaseCurve
-
- getY() - Method in class org.nd4j.evaluation.curves.PrecisionRecallCurve
-
- getY() - Method in class org.nd4j.evaluation.curves.ReliabilityDiagram
-
- getY() - Method in class org.nd4j.evaluation.curves.RocCurve
-
- GIT_PROPERTY_FILE_SUFFIX - Static variable in class org.nd4j.versioncheck.VersionCheck
-
- GLOBAL_JIT_LEVEL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OptimizerOptions
-
- GLOBAL_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ThreadPoolOptionProto
-
- GLOBAL_STEP_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DebugOptions
-
- gMeasure(int) - Method in class org.nd4j.evaluation.classification.Evaluation
-
Calculate the G-measure for the given output
- gMeasure(EvaluationAveraging) - Method in class org.nd4j.evaluation.classification.Evaluation
-
Calculates the average G measure for all outputs using micro or macro averaging
- gMeasure(int) - Method in class org.nd4j.evaluation.classification.EvaluationBinary
-
Calculate the G-measure for the given output
- gMeasure(double, double) - Static method in class org.nd4j.evaluation.EvaluationUtils
-
Calculate the G-measure from precision and recall
- goingToCompress(DataTypeEx, DataTypeEx) - Static method in class org.nd4j.linalg.compression.CompressionUtils
-
- goingToDecompress(DataTypeEx, DataTypeEx) - Static method in class org.nd4j.linalg.compression.CompressionUtils
-
- GPU_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ConfigProto
-
- gpuMemory(int) - Method in class org.nd4j.graph.UIHardwareState
-
- gpuMemoryAsByteBuffer() - Method in class org.nd4j.graph.UIHardwareState
-
- gpuMemoryInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.UIHardwareState
-
- gpuMemoryLength() - Method in class org.nd4j.graph.UIHardwareState
-
- GPUOptions - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GPUOptions
- GPUOptions.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GPUOptions
- GPUOptions.Experimental - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GPUOptions.Experimental
- GPUOptions.Experimental.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GPUOptions.Experimental
- GPUOptions.Experimental.VirtualDevices - Class in org.tensorflow.framework
-
Configuration for breaking down a visible GPU into multiple "virtual"
devices.
- GPUOptions.Experimental.VirtualDevices.Builder - Class in org.tensorflow.framework
-
Configuration for breaking down a visible GPU into multiple "virtual"
devices.
- GPUOptions.Experimental.VirtualDevicesOrBuilder - Interface in org.tensorflow.framework
-
- GPUOptions.ExperimentalOrBuilder - Interface in org.tensorflow.framework
-
- GPUOptionsOrBuilder - Interface in org.tensorflow.framework
-
- grad(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Get the gradient for the variable with the specified variable name.
- grad(DifferentialFunctionFactory, SDVariable, SDVariable, int[]) - Static method in class org.nd4j.linalg.api.ops.impl.reduce.floating.Entropy
-
- gradCheckMask() - Method in class org.nd4j.autodiff.validation.TestCase
-
- gradCheckSkipVariables() - Method in class org.nd4j.autodiff.validation.TestCase
-
- gradCheckSkipVariables(String...) - Method in class org.nd4j.autodiff.validation.TestCase
-
Specify the input variables that should NOT be gradient checked.
- GradCheckUtil - Class in org.nd4j.autodiff.validation
-
Gradient check utility
- GradCheckUtil() - Constructor for class org.nd4j.autodiff.validation.GradCheckUtil
-
- gradient - Variable in class org.nd4j.autodiff.samediff.internal.Variable
-
- gradient() - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- GRADIENT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.FunctionDefLibrary
-
- GRADIENT_FUNC_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GradientDef
-
- gradientBackwardsMarker(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- gradientBackwardsMarker(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Intended for internal/developer use
- gradientBackwardsMarker(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Intended for internal/developer use
- GradientBackwardsMarker - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient
-
- GradientBackwardsMarker(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.GradientBackwardsMarker
-
- GradientBackwardsMarker() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.GradientBackwardsMarker
-
- GradientDef - Class in org.tensorflow.framework
-
GradientDef defines the gradient function of a function defined in
a function library.
- GradientDef.Builder - Class in org.tensorflow.framework
-
GradientDef defines the gradient function of a function defined in
a function library.
- GradientDefOrBuilder - Interface in org.tensorflow.framework
-
- GradientUpdater<T extends IUpdater> - Interface in org.nd4j.linalg.learning
-
Gradient modifications: Calculates an update and tracks related information for gradient changes over time
for handling updates.
- gradientVariable() - Method in class org.nd4j.graph.UIVariable
-
- gradientVariableAsByteBuffer() - Method in class org.nd4j.graph.UIVariable
-
- gradientVariableInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.UIVariable
-
- GRAPH - Static variable in class org.nd4j.graph.OpClass
-
- GRAPH - Static variable in class org.nd4j.graph.OpType
-
- GRAPH_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CreateSessionRequest
-
- GRAPH_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.ExtendSessionRequest
-
- GRAPH_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RegisterGraphRequest
-
- GRAPH_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MetaGraphDef
-
- GRAPH_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.ModelProto
-
- GRAPH_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.ModelProto
-
- GRAPH_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.DeregisterGraphRequest
-
- GRAPH_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RegisterGraphResponse
-
- GRAPH_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunGraphRequest
-
- GRAPH_INPUT_NODE_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferInfo
-
- GRAPH_INPUT_NODE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
- GRAPH_KEY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.GetStepSequenceRequest
-
- GRAPH_KEY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.StepSequence
-
- GRAPH_OP_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef
-
- GRAPH_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RegisterGraphRequest
-
- GRAPH_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ConfigProto
-
- GRAPH_OUTPUT_NODE_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferInfo
-
- GRAPH_OUTPUT_NODE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
- GRAPH_STRUCTURE - Static variable in class org.nd4j.graph.UIInfoType
-
- GRAPH_VALUE - Static variable in enum onnx.OnnxMlProto3.AttributeProto.AttributeType
-
GRAPH = 5;
- GRAPH_VALUE - Static variable in enum onnx.OnnxProto3.AttributeProto.AttributeType
-
GRAPH = 5;
- GRAPH_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CreateSessionResponse
-
- GraphDef - Class in org.tensorflow.framework
-
Represents the graph of operations
- GraphDef.Builder - Class in org.tensorflow.framework
-
Represents the graph of operations
- GraphDefOrBuilder - Interface in org.tensorflow.framework
-
- GraphExecutioner - Interface in org.nd4j.autodiff.execution
-
This interface
- GraphExecutioner.Type - Enum in org.nd4j.autodiff.execution
-
- GraphMapper<GRAPH_TYPE,NODE_TYPE,ATTR_TYPE,TENSOR_TYPE> - Interface in org.nd4j.imports.graphmapper
-
Map graph proto types to
SameDiff
instances
- GraphOptions - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphOptions
- GraphOptions.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphOptions
- GraphOptionsOrBuilder - Interface in org.tensorflow.framework
-
- GraphProtos - Class in org.tensorflow.framework
-
- GRAPHS_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.AttributeProto
-
- GRAPHS_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.AttributeProto
-
- GRAPHS_VALUE - Static variable in enum onnx.OnnxMlProto3.AttributeProto.AttributeType
-
GRAPHS = 10;
- GRAPHS_VALUE - Static variable in enum onnx.OnnxProto3.AttributeProto.AttributeType
-
GRAPHS = 10;
- GraphTransferConstNodeInfo - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphTransferConstNodeInfo
- GraphTransferConstNodeInfo.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphTransferConstNodeInfo
- GraphTransferConstNodeInfoOrBuilder - Interface in org.tensorflow.framework
-
- GraphTransferGraphInputNodeInfo - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphTransferGraphInputNodeInfo
- GraphTransferGraphInputNodeInfo.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphTransferGraphInputNodeInfo
- GraphTransferGraphInputNodeInfoOrBuilder - Interface in org.tensorflow.framework
-
- GraphTransferGraphOutputNodeInfo - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphTransferGraphOutputNodeInfo
- GraphTransferGraphOutputNodeInfo.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphTransferGraphOutputNodeInfo
- GraphTransferGraphOutputNodeInfoOrBuilder - Interface in org.tensorflow.framework
-
- GraphTransferInfo - Class in org.tensorflow.framework
-
Protocol buffer representing a handle to a tensorflow resource.
- GraphTransferInfo.Builder - Class in org.tensorflow.framework
-
Protocol buffer representing a handle to a tensorflow resource.
- GraphTransferInfo.Destination - Enum in org.tensorflow.framework
-
Protobuf enum tensorflow.GraphTransferInfo.Destination
- GraphTransferInfoOrBuilder - Interface in org.tensorflow.framework
-
- GraphTransferInfoProto - Class in org.tensorflow.framework
-
- GraphTransferNodeInfo - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphTransferNodeInfo
- GraphTransferNodeInfo.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphTransferNodeInfo
- GraphTransferNodeInfoOrBuilder - Interface in org.tensorflow.framework
-
- GraphTransferNodeInput - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphTransferNodeInput
- GraphTransferNodeInput.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphTransferNodeInput
- GraphTransferNodeInputInfo - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphTransferNodeInputInfo
- GraphTransferNodeInputInfo.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphTransferNodeInputInfo
- GraphTransferNodeInputInfoOrBuilder - Interface in org.tensorflow.framework
-
- GraphTransferNodeInputOrBuilder - Interface in org.tensorflow.framework
-
- GraphTransferNodeOutputInfo - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphTransferNodeOutputInfo
- GraphTransferNodeOutputInfo.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphTransferNodeOutputInfo
- GraphTransferNodeOutputInfoOrBuilder - Interface in org.tensorflow.framework
-
- GraphTransformUtil - Class in org.nd4j.autodiff.samediff.transform
-
GraphTransformUtil provides a number of utility methods to modify graphs - replacing nodes and subgraphs, etc.
See the individual methods for futher details
- GreaterThan - Class in org.nd4j.linalg.api.ops.impl.transforms.custom
-
Bit mask over the ndarrays as to whether
the components are greater than or not
- GreaterThan() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThan
-
- GreaterThan(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThan
-
- GreaterThan(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThan
-
- greaterThan(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- GreaterThan - Class in org.nd4j.linalg.indexing.conditions
-
Created by agibsonccc on 10/8/14.
- GreaterThan() - Constructor for class org.nd4j.linalg.indexing.conditions.GreaterThan
-
Special constructor for pairwise boolean operations.
- GreaterThan(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.GreaterThan
-
- GreaterThanOrEqual - Class in org.nd4j.linalg.api.ops.impl.transforms.custom
-
Bit mask over the ndarrays as to whether
the components are greater than or equal or not
- GreaterThanOrEqual() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThanOrEqual
-
- GreaterThanOrEqual(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThanOrEqual
-
- GreaterThanOrEqual(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThanOrEqual
-
- greaterThanOrEqual(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- GreaterThanOrEqual - Class in org.nd4j.linalg.indexing.conditions
-
Created by agibsonccc on 10/8/14.
- GreaterThanOrEqual() - Constructor for class org.nd4j.linalg.indexing.conditions.GreaterThanOrEqual
-
Special constructor for pairwise boolean operations.
- GreaterThanOrEqual(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.GreaterThanOrEqual
-
- greaterThanOrEqual(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
1 if greater than or equal to 0 otherwise (at each element)
- greaterThanOrEqual(INDArray, INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Eps function
- grid - Variable in class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp
-
- GridDescriptor - Class in org.nd4j.linalg.api.ops.grid
-
- GridDescriptor() - Constructor for class org.nd4j.linalg.api.ops.grid.GridDescriptor
-
- GridExecutioner - Interface in org.nd4j.linalg.api.ops.executioner
-
- GridOp - Interface in org.nd4j.linalg.api.ops
-
MetaOp is special op, that contains multiple ops
- GridPointers - Class in org.nd4j.linalg.api.ops.grid
-
POJO describing OP
- GridPointers(Op, int...) - Constructor for class org.nd4j.linalg.api.ops.grid.GridPointers
-
- GROUP_KEY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteGroupRequest
-
- GROUP_KEY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteGroupResponse
-
- GROUP_KEY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteInstanceRequest
-
- GROUP_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteGroupRequest
-
- GROUP_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteGroupResponse
-
- GROUP_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteInstanceRequest
-
- gru(GRUCellConfiguration) - Method in class org.nd4j.autodiff.samediff.ops.SDRNN
-
The gru cell
- gru(String, GRUCellConfiguration) - Method in class org.nd4j.autodiff.samediff.ops.SDRNN
-
The gru cell
- GRUCell - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent
-
GRU cell for RNNs
- GRUCell() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.GRUCell
-
- GRUCell(SameDiff, GRUCellConfiguration) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.GRUCell
-
- GRUCellConfiguration - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent.config
-
- GRUCellConfiguration() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.GRUCellConfiguration
-
- gt(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- gt(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- gt(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Greater than operation: elementwise x > y
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or
value 0 otherwise
- gt(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Greater than operation: elementwise x > y
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or
value 0 otherwise
- gt(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Greater than operation: elementwise x > y
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.
- gt(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Greater than operation: elementwise x > y
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.
- gt(double) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- gt(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
Greater than operation: elementwise this > value
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or
value 0 otherwise
- gt(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- gt(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
Greater than operation: elementwise this > y
If x and y arrays have equal shape, the output shape is the same as the inputs.
Supports broadcasting: if x and y have different shapes and are broadcastable, the output shape is broadcast.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.
- gt(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- gt(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- gt(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- gt(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- gt(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Greater" comparison.
- gt(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Greater Than" comparison.
- gt(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast
-
Broadcast greater than op.
- gte(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- gte(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- gte(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Greater than or equals operation: elementwise x >= y
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or
value 0 otherwise
- gte(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Greater than or equals operation: elementwise x >= y
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or
value 0 otherwise
- gte(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Greater than or equal to operation: elementwise x >= y
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.
- gte(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Greater than or equal to operation: elementwise x >= y
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.
- gte(double) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- gte(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
Greater than or equals operation: elementwise this >= value
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or
value 0 otherwise
- gte(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- gte(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
Greater than or equal to operation: elementwise this >= y
If x and y arrays have equal shape, the output shape is the same as the inputs.
Supports broadcasting: if x and y have different shapes and are broadcastable, the output shape is broadcast.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.
- gte(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- gte(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- gte(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns binary ndarray for "Greter or equals" comparison.
- gte(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast
-
Broadcast greater than or equal to op.
- gtei(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- gtei(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- gti(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- gti(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- guid - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- s(int) - Method in class org.nd4j.graph.FlatProperties
-
- s0 - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D
-
- s1 - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D
-
- s2 - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D
-
- s3 - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D
-
- S_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.AttributeProto
-
- S_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.AttributeProto
-
- S_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue.ListValue
-
- S_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue
-
- SaddlePointExpansion - Class in org.nd4j.linalg.api.rng.distribution.impl
-
Utility class used by various distributions to accurately compute their
respective probability mass functions.
- SAFETY_OFFSET - Static variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- sameDiff - Variable in class org.nd4j.autodiff.functions.DifferentialFunction
-
- sameDiff - Variable in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sameDiff() - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sameDiff - Variable in class org.nd4j.autodiff.samediff.internal.AbstractSession
-
- SameDiff - Class in org.nd4j.autodiff.samediff
-
SameDiff is the entrypoint for ND4J's automatic differentiation functionality.
- sameDiff - Variable in class org.nd4j.autodiff.samediff.transform.SubGraph
-
- sameDiff(SameDiff) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.SameDiffBuilder
-
- SAMEDIFF_FILE_ENTRY_NAME - Static variable in class org.nd4j.autodiff.samediff.SameDiff
-
- sameDiffBuilder(String, SameDiff) - Static method in class org.nd4j.linalg.api.ops.DynamicCustomOp
-
- SameDiffBuilder(String, SameDiff, long, int, int, boolean, int, int) - Constructor for class org.nd4j.linalg.api.ops.DynamicCustomOp.SameDiffBuilder
-
- SameDiffConditional - Interface in org.nd4j.autodiff.samediff
-
An interface for representing a conditional statement
- SameDiffFunctionDefinition - Interface in org.nd4j.autodiff.samediff
-
A function definition for samediff
- SameDiffOp - Class in org.nd4j.autodiff.samediff.internal
-
- SameDiffOp() - Constructor for class org.nd4j.autodiff.samediff.internal.SameDiffOp
-
- sample() - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
-
Generate a random value sampled from this distribution.
- sample(long) - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
-
Generate a random sample from the distribution.
- sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
-
- sample(long[]) - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
-
- sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
-
- sample() - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
Generate a random value sampled from this distribution.
- sample(long) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
Generate a random sample from the distribution.
- sample(int[]) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
Sample the given shape
- sample(long[]) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
- sample(INDArray) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
Fill the target array by sampling from the distribution
- sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
- sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
- sample() - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
-
Generate a random value sampled from this distribution.
- sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
-
- sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
-
- sample() - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
-
Generate a random value sampled from this distribution.
- sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
-
- sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
-
- sample() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Generate a random value sampled from this distribution.
- sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
- sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
- sample() - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
-
Generate a random value sampled from this distribution.
- sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
-
- sample(long[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
-
- sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
-
- sample() - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
-
Generate a random value sampled from this distribution.
- sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
-
- sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
-
- sample() - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
Generate a random value sampled from this distribution.
- sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
- sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
- sample(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- sample(int, Random) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- sample(int, boolean) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- sample(int, Random, boolean) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- sample(int) - Method in class org.nd4j.linalg.dataset.DataSet
-
Sample without replacement and a random rng
- sample(int, Random) - Method in class org.nd4j.linalg.dataset.DataSet
-
Sample without replacement
- sample(int, boolean) - Method in class org.nd4j.linalg.dataset.DataSet
-
Sample a dataset numSamples times
- sample(int, Random, boolean) - Method in class org.nd4j.linalg.dataset.DataSet
-
Sample a dataset
- SAMPLE_RATE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Audio
-
- SamplingDataSetIterator - Class in org.nd4j.linalg.dataset.api.iterator
-
A wrapper for a dataset to sample from.
- SamplingDataSetIterator(DataSet, int, int, boolean) - Constructor for class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
- SamplingDataSetIterator(DataSet, int, int) - Constructor for class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
- sasum(long, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- sasum(long, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- sasum(long, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- save(OutputStream) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Write the contents of this DataSet to the specified OutputStream
- save(File) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Save this DataSet to a file.
- save(File, File) - Method in class org.nd4j.linalg.dataset.api.iterator.StandardScaler
-
Deprecated.
Save the current mean and std
- save(OutputStream) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Save this MultiDataSet to the specified stream.
- save(File) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Save this MultiDataSet to the specified file
- save(List<File>, List<File>) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize
-
- save(File...) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- save(File...) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
-
- save(File, File) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats
-
Save distribution statistics to the file system
- save(OutputStream) - Method in class org.nd4j.linalg.dataset.DataSet
-
- save(File) - Method in class org.nd4j.linalg.dataset.DataSet
-
- save(OutputStream) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- save(File) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- SAVE_SLICE_INFO_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.framework.VariableDef
-
- SAVE_TENSOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.util.SaverDef
-
- saveBinary(INDArray, File) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Save an ndarray to the given file
- SAVED_MODEL_SCHEMA_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.SavedModel
-
- SavedModel - Class in org.tensorflow.framework
-
SavedModel is the high level serialization format for TensorFlow Models.
- SavedModel.Builder - Class in org.tensorflow.framework
-
SavedModel is the high level serialization format for TensorFlow Models.
- SavedModelOrBuilder - Interface in org.tensorflow.framework
-
- SavedModelProtos - Class in org.tensorflow.framework
-
- SAVER_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MetaGraphDef
-
- SaverDef - Class in org.tensorflow.util
-
Protocol buffer representing the configuration of a Saver.
- SaverDef.Builder - Class in org.tensorflow.util
-
Protocol buffer representing the configuration of a Saver.
- SaverDef.CheckpointFormatVersion - Enum in org.tensorflow.util
-
A version number that identifies a different on-disk checkpoint format.
- SaverDefOrBuilder - Interface in org.tensorflow.util
-
- SaverProtos - Class in org.tensorflow.util
-
- SaveSliceInfoDef - Class in org.tensorflow.framework
-
Protobuf type tensorflow.SaveSliceInfoDef
- SaveSliceInfoDef.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.SaveSliceInfoDef
- SaveSliceInfoDefOrBuilder - Interface in org.tensorflow.framework
-
- SaveV2 - Class in org.nd4j.linalg.api.ops.persistence
-
- SaveV2() - Constructor for class org.nd4j.linalg.api.ops.persistence.SaveV2
-
- saveWithTrainingConfig(OutputStream) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Save this samediff instance with its training config.
- saveWithTrainingConfig(File) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Save this samediff instance with its training config.
- saveWithTrainingConfig(TrainingConfig, OutputStream) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Save this samediff instance as a zip file
with the training configuration
- saxpy(long, float, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- saxpy(long, float, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- saxpy(double, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- saxpy(float, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- saxpy(double, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- saxpy(float, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- saxpy(double, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- saxpy(float, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- saxpyi(long, double, INDArray, DataBuffer, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- sbmv(char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
sbmv computes a matrix-vector product using a symmetric band matrix:
y := alpha*a*x + beta*y.
- sbmv(char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
-
- sbmv(char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
sbmv computes a matrix-vector product using a symmetric band matrix:
y := alpha*a*x + beta*y.
- scal(long, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
computes a vector by a scalar product.
- scal(long, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
Computes the product of a vector by a scalar.
- scal(long, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
computes a vector by a scalar product.
- scal(double, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- scal(float, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- scal(double, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- scal(float, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- scal(double, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- scal(float, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- scalar(String, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Create a new double scalar (rank 0) SDVariable with the specified value
- scalar(String, float) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Create a new float scalar (rank 0) SDVariable with the specified value
- scalar(String, int) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Create a new integer scalar (rank 0) SDVariable with the specified value
- scalar(String, long) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Create a new long scalar (rank 0) SDVariable with the specified value
- scalar(String, DataType, Number) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Create a new scalar (rank 0) SDVariable with the specified value and datatype
- scalar() - Method in class org.nd4j.graph.FlatNode
-
- scalar(FlatArray) - Method in class org.nd4j.graph.FlatNode
-
- SCALAR - Static variable in class org.nd4j.graph.OpType
-
- SCALAR - Static variable in class org.nd4j.graph.UIEventType
-
- scalar() - Method in class org.nd4j.linalg.api.ops.BaseScalarBoolOp
-
- scalar() - Method in class org.nd4j.linalg.api.ops.BaseScalarOp
-
- scalar() - Method in interface org.nd4j.linalg.api.ops.ScalarOp
-
The normal scalar
- scalar(Number, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar ndarray with the specified offset
- scalar(float, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(double, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(int, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(Number) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar ndarray with the specified offset
- scalar(float) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(double) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(Number) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar ndarray with the specified value
- scalar(DataType, Number) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar ndarray with the specified value and datatype
- scalar(double) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar nd array with the specified value
- scalar(float) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar NDArray with the specified value and FLOAT datatype
- scalar(boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar NDArray with the specified value and BOOLEAN datatype
- scalar(int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar NDArray with the specified value and INT datatype
- scalar(long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar NDArray with the specified value and LONG datatype
- scalar(String) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- scalar(Number, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar ndarray with the specified offset
- scalar(float, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(double, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(int, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- scalar(Number) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar ndarray with the specified offset
- scalar(float) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(double) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar nd array with the specified value and offset
- SCALAR_BOOL - Static variable in class org.nd4j.graph.OpType
-
- ScalarAdd - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar addition
- ScalarAdd() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
-
- ScalarAdd(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
-
- ScalarAdd(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
-
- ScalarAdd(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
-
- ScalarAdd(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
-
- ScalarAdd(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
-
- ScalarAdd(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
-
- ScalarAnd - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
-
Return a binary (0 or 1)
when greater than a number
- ScalarAnd() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarAnd
-
- ScalarAnd(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarAnd
-
- ScalarAnd(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarAnd
-
- ScalarAnd(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarAnd
-
- scalarBoolOpClass(int) - Static method in class org.nd4j.autodiff.samediff.serde.LegacyOpMapper
-
- ScalarDivision - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar division
- ScalarDivision() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision
-
- ScalarDivision(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision
-
- ScalarDivision(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision
-
- ScalarDivision(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision
-
- ScalarDivision(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision
-
- ScalarEps - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
-
Return a binary (0 or 1) when greater than a number
- ScalarEps() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEps
-
- ScalarEps(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEps
-
- ScalarEps(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEps
-
- ScalarEps(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEps
-
- ScalarEps(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEps
-
- ScalarEps(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEps
-
- ScalarEquals - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
-
Return a binary (0 or 1) when greater than a number
- ScalarEquals() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
-
- ScalarEquals(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
-
- ScalarEquals(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
-
- ScalarEquals(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
-
- ScalarEquals(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
-
- ScalarEquals(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
-
- scalarEquals(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Returns true if the given shapes are both scalars (0 dimension or shape[0] == 1)
- scalarEquals(long[], long[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- scalarFloorMod(SDVariable, Number) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- scalarFloorMod(SDVariable, Number) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Element-wise scalar floor modulus operation: out = floorMod(in, value).
- scalarFloorMod(String, SDVariable, Number) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Element-wise scalar floor modulus operation: out = floorMod(in, value).
- ScalarFMod - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar floating-point remainder (fmod aka 'floormod')
- ScalarFMod() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarFMod
-
- ScalarFMod(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarFMod
-
- ScalarFMod(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarFMod
-
- ScalarFMod(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarFMod
-
- ScalarGreaterThan - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
-
Return a binary (0 or 1) when greater than a number
- ScalarGreaterThan() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
-
- ScalarGreaterThan(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
-
- ScalarGreaterThan(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
-
- ScalarGreaterThan(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
-
- ScalarGreaterThan(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
-
- ScalarGreaterThan(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
-
- ScalarGreaterThan(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
-
- ScalarGreaterThanOrEqual - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
-
Return a binary (0 or 1) when greater than or equal to a number
- ScalarGreaterThanOrEqual() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
-
- ScalarGreaterThanOrEqual(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
-
- ScalarGreaterThanOrEqual(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
-
- ScalarGreaterThanOrEqual(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
-
- ScalarGreaterThanOrEqual(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
-
- ScalarGreaterThanOrEqual(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
-
- ScalarGreaterThanOrEqual(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
-
- ScalarLessThan - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
-
Return a binary (0 or 1) when less than a number
- ScalarLessThan() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan
-
- ScalarLessThan(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan
-
- ScalarLessThan(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan
-
- ScalarLessThan(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan
-
- ScalarLessThanOrEqual - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
-
Return a binary (0 or 1) when less than
or equal to a number
- ScalarLessThanOrEqual(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual
-
- ScalarLessThanOrEqual(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual
-
- ScalarLessThanOrEqual() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual
-
- ScalarLessThanOrEqual(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual
-
- ScalarLessThanOrEqual(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual
-
- scalarMax(SDVariable, Number) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- scalarMax(SDVariable, Number) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Element-wise scalar maximum operation: out = max(in, value)
- scalarMax(String, SDVariable, Number) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Element-wise scalar maximum operation: out = max(in, value)
- ScalarMax - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar max operation.
- ScalarMax() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMax
-
- ScalarMax(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMax
-
- ScalarMax(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMax
-
- ScalarMax(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMax
-
- scalarMin(SDVariable, Number) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- scalarMin(SDVariable, Number) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Element-wise scalar minimum operation: out = min(in, value)
- scalarMin(String, SDVariable, Number) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Element-wise scalar minimum operation: out = min(in, value)
- ScalarMin - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar max operation.
- ScalarMin() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMin
-
- ScalarMin(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMin
-
- ScalarMin(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMin
-
- ScalarMin(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMin
-
- ScalarMultiplication - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar multiplication
- ScalarMultiplication() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
-
- ScalarMultiplication(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
-
- ScalarMultiplication(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
-
- ScalarMultiplication(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
-
- ScalarMultiplication(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
-
- ScalarMultiplication(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
-
- ScalarNot - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
-
Return a binary (0 or 1)
when greater than a number
- ScalarNot() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNot
-
- ScalarNot(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNot
-
- ScalarNot(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNot
-
- ScalarNot(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNot
-
- ScalarNot(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNot
-
- ScalarNotEquals - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
-
Return a binary (0 or 1)
when greater than a number
- ScalarNotEquals() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals
-
- ScalarNotEquals(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals
-
- ScalarNotEquals(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals
-
- ScalarNotEquals(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals
-
- ScalarNotEquals(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals
-
- ScalarOp - Interface in org.nd4j.linalg.api.ops
-
Applies a scalar
along a bigger input array.
- scalarOpClass(int) - Static method in class org.nd4j.autodiff.samediff.serde.LegacyOpMapper
-
- ScalarOr - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
-
Return a binary (0 or 1)
when greater than a number
- ScalarOr() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarOr
-
- ScalarOr(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarOr
-
- ScalarOr(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarOr
-
- ScalarOr(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarOr
-
- ScalarOr(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarOr
-
- ScalarRemainder - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar floating-point remainder
- ScalarRemainder() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder
-
- ScalarRemainder(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder
-
- ScalarRemainder(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder
-
- ScalarRemainder(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder
-
- ScalarRemainder(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder
-
- ScalarReverseDivision - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar reverse division
- ScalarReverseDivision() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision
-
- ScalarReverseDivision(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision
-
- ScalarReverseDivision(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision
-
- ScalarReverseDivision(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision
-
- ScalarReverseDivision(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision
-
- ScalarReverseSubtraction - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar reverse subtraction
- ScalarReverseSubtraction() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction
-
- ScalarReverseSubtraction(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction
-
- ScalarReverseSubtraction(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction
-
- ScalarReverseSubtraction(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction
-
- ScalarReverseSubtraction(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction
-
- ScalarReverseSubtraction(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction
-
- scalarSet(SDVariable, Number) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- scalarSet(SDVariable, Number) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Return an array with equal shape to the input, but all elements set to value 'set'
- scalarSet(String, SDVariable, Number) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Return a variable with equal shape to the input, but all elements set to value 'set'
- ScalarSet - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar max operation.
- ScalarSet() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
-
- ScalarSet(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
-
- ScalarSet(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
-
- ScalarSet(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
-
- ScalarSet(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
-
- ScalarSetValue - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
-
Scalar value set operation.
- ScalarSetValue(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
-
- ScalarSetValue(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
-
- ScalarSetValue(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
-
- ScalarSetValue(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
-
- ScalarSetValue() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
-
- ScalarSetValue(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
-
- ScalarSetValue(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
-
- ScalarSubtraction - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar subtraction
- ScalarSubtraction() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
-
- ScalarSubtraction(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
-
- ScalarSubtraction(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
-
- ScalarSubtraction(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
-
- ScalarSubtraction(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
-
- ScalarSubtraction(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
-
- scalarValue - Variable in class org.nd4j.autodiff.functions.DifferentialFunction
-
- ScalarXor - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
-
Return a binary (0 or 1)
when greater than a number
- ScalarXor() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarXor
-
- ScalarXor(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarXor
-
- ScalarXor(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarXor
-
- ScalarXor(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarXor
-
- ScalarXor(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarXor
-
- scale() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- scale() - Method in class org.nd4j.linalg.dataset.DataSet
-
Divides the input data transform
by the max number in each row
- scaleByMax(INDArray) - Static method in class org.nd4j.linalg.util.FeatureUtil
-
Divides each row by its max
- scaleH - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2d
-
- scaleH - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2dDerivative
-
- scaleMinAndMax(double, double) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- scaleMinAndMax(double, double) - Method in class org.nd4j.linalg.dataset.DataSet
-
- scaleMinMax(double, double, INDArray) - Static method in class org.nd4j.linalg.util.FeatureUtil
-
Scales the ndarray columns
to the given min/max values
- scaleW - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2d
-
- scaleW - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2dDerivative
-
- scan(Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- scan(Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- scan(Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
This method takes boolean condition, and returns number of elements matching this condition
- scatter(SDVariable, SDVariable, int...) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray
-
- scatter(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray
-
- scatterAdd(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- scatterAdd(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- scatterAdd(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Scatter addition operation.
If indices is rank 0 (a scalar), then out[index, ...] += updates[...]
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] += updates[i, ...]
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] += updates[i, ..., k, ...]
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.
- ScatterAdd - Class in org.nd4j.linalg.api.ops.impl.scatter
-
Created by farizrahman4u on 3/23/18.
- ScatterAdd(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterAdd
-
- ScatterAdd() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterAdd
-
- scatterDiv(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- scatterDiv(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- scatterDiv(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Scatter division operation.
If indices is rank 0 (a scalar), then out[index, ...] /= updates[...]
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] /= updates[i, ...]
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] /= updates[i, ..., k, ...]
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.
- ScatterDiv - Class in org.nd4j.linalg.api.ops.impl.scatter
-
Created by farizrahman4u on 3/23/18.
- ScatterDiv(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterDiv
-
- ScatterDiv() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterDiv
-
- scatterMax(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- scatterMax(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- scatterMax(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Scatter max operation.
If indices is rank 0 (a scalar), then out[index, ...] = max(updates[...], in[index,...])
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] = max(updates[i,...], in[indices[i],...])
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] = max(updates[i, ..., k, ...], in[indices[i], ..., indices[k], ...]
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.
- ScatterMax - Class in org.nd4j.linalg.api.ops.impl.scatter
-
- ScatterMax(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterMax
-
- ScatterMax() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterMax
-
- scatterMin(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- scatterMin(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- scatterMin(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Scatter min operation.
If indices is rank 0 (a scalar), then out[index, ...] = min(updates[...], in[index,...])
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] = min(updates[i,...], in[indices[i],...])
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] = min(updates[i, ..., k, ...], in[indices[i], ..., indices[k], ...]
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.
- ScatterMin - Class in org.nd4j.linalg.api.ops.impl.scatter
-
- ScatterMin(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterMin
-
- ScatterMin() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterMin
-
- scatterMul(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- scatterMul(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- scatterMul(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Scatter multiplication operation.
If indices is rank 0 (a scalar), then out[index, ...] *= updates[...]
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] *= updates[i, ...]
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] *= updates[i, ..., k, ...]
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.
- ScatterMul - Class in org.nd4j.linalg.api.ops.impl.scatter
-
Created by farizrahman4u on 3/23/18.
- ScatterMul(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterMul
-
- ScatterMul() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterMul
-
- ScatterNd - Class in org.nd4j.linalg.api.ops.impl.scatter
-
Scatter ND operation
- ScatterNd(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterNd
-
- ScatterNd() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterNd
-
- ScatterNdAdd - Class in org.nd4j.linalg.api.ops.impl.scatter
-
Scatter ND add operation
- ScatterNdAdd(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdAdd
-
- ScatterNdAdd() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdAdd
-
- ScatterNdSub - Class in org.nd4j.linalg.api.ops.impl.scatter
-
Scatter ND subtract operation
- ScatterNdSub(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdSub
-
- ScatterNdSub() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdSub
-
- ScatterNdUpdate - Class in org.nd4j.linalg.api.ops.impl.scatter
-
Scatter ND add operation
- ScatterNdUpdate(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdUpdate
-
- ScatterNdUpdate() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdUpdate
-
- scatterSub(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- scatterSub(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- scatterSub(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Scatter subtraction operation.
If indices is rank 0 (a scalar), then out[index, ...] -= updates[...]
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] -= updates[i, ...]
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] -= updates[i, ..., k, ...]
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.
- ScatterSub - Class in org.nd4j.linalg.api.ops.impl.scatter
-
Created by farizrahman4u on 3/23/18.
- ScatterSub(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterSub
-
- ScatterSub() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterSub
-
- scatterUpdate(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- scatterUpdate(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- scatterUpdate(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Scatter update operation.
If indices is rank 0 (a scalar), then out[index, ...] = updates[...]
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] = updates[i, ...]
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] = updates[i, ..., k, ...]
Note that if multiple indices refer to the same location, the output at those locations is undefined - different
updates may occur in different orders
- ScatterUpdate - Class in org.nd4j.linalg.api.ops.custom
-
- ScatterUpdate(INDArray, INDArray, int[], int[], ScatterUpdate.UpdateOp) - Constructor for class org.nd4j.linalg.api.ops.custom.ScatterUpdate
-
- ScatterUpdate(INDArray, INDArray, INDArray, int[], int[], ScatterUpdate.UpdateOp) - Constructor for class org.nd4j.linalg.api.ops.custom.ScatterUpdate
-
- scatterUpdate(ScatterUpdate.UpdateOp, INDArray, INDArray, INDArray, int[]) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- scatterUpdate(ScatterUpdate.UpdateOp, INDArray, INDArray, INDArray, int[]) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
Deprecated.
- ScatterUpdate - Class in org.nd4j.linalg.api.ops.impl.scatter
-
Scatter update op
- ScatterUpdate(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterUpdate
-
- ScatterUpdate() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterUpdate
-
- scatterUpdate(ScatterUpdate.UpdateOp, INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Deprecated.
- ScatterUpdate.UpdateOp - Enum in org.nd4j.linalg.api.ops.custom
-
- ScatterUpdate.UpdateOp - Enum in org.nd4j.linalg.api.ops.impl.scatter
-
- SCHEDULED_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeExecStats
-
- ScheduleType - Enum in org.nd4j.linalg.schedule
-
- SCHEDULING_HEURISTICS_VALUE - Static variable in enum org.tensorflow.framework.RewriterConfig.MemOptType
-
Scheduling will split big ops such as AddN and try to enforce a schedule
of the new computations that decreases peak memory usage.
- SCOMPLEX_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto
-
- sconv2d(SDVariable[], Conv2DConfig) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
Separable Conv2d operation.
- sconv2d(SDVariable[], Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN
-
Separable 2D convolution operation with/without optional bias
- sconv2d(String, SDVariable[], Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN
-
Separable 2D convolution operation with/without optional bias
- SConv2D - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
-
Separable convolution 2D operation
- SConv2D(SameDiff, SDVariable[], INDArray[], INDArray[], Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D
-
- SConv2D() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D
-
- SConv2DDerivative - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
-
SConv2DDerivative operation
- SConv2DDerivative(SameDiff, SDVariable[], INDArray[], INDArray[], Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2DDerivative
-
- SConv2DDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2DDerivative
-
- scoomv(char, int, DataBuffer, DataBuffer, DataBuffer, int, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
-
- SCOPED_ALLOCATOR_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RewriterConfig
-
- SCOPED_ALLOCATOR_OPTS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RewriterConfig
-
- ScopedAllocatorOptions - Class in org.tensorflow.framework
-
Protobuf type tensorflow.ScopedAllocatorOptions
- ScopedAllocatorOptions.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.ScopedAllocatorOptions
- ScopedAllocatorOptionsOrBuilder - Interface in org.tensorflow.framework
-
- scopeId() - Method in class org.nd4j.graph.FlatNode
-
- scopeName() - Method in class org.nd4j.graph.FlatNode
-
- scopeNameAsByteBuffer() - Method in class org.nd4j.graph.FlatNode
-
- scopeNameInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.FlatNode
-
- scopeOutOfWorkspaces() - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- scopeOutOfWorkspaces() - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method temporary opens block out of any workspace scope.
- scopeOutOfWorkspaces() - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
This method temporary opens block out of any workspace scope.
- scopeOutOfWs - Variable in class org.nd4j.linalg.workspace.BaseWorkspaceMgr
-
- scopy(long, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- scopy(long, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- score(INDArray, int, int) - Method in class org.nd4j.linalg.learning.regularization.L1Regularization
-
- score(INDArray, int, int) - Method in class org.nd4j.linalg.learning.regularization.L2Regularization
-
- score(INDArray, int, int) - Method in interface org.nd4j.linalg.learning.regularization.Regularization
-
Calculate the loss function score component for the regularization.
For example, in L2 regularization, this would return L = 0.5 * sum_i param[i]^2
For regularization types that don't have a score component, this method can return 0.
- score(INDArray, int, int) - Method in class org.nd4j.linalg.learning.regularization.WeightDecay
-
- scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity
-
- scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge
-
- scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1
-
- scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2
-
- scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE
-
- scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE
-
- scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMultiLabel
-
- scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson
-
- scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge
-
- scoreForMetric(Evaluation.Metric) - Method in class org.nd4j.evaluation.classification.Evaluation
-
- scoreForMetric(EvaluationBinary.Metric, int) - Method in class org.nd4j.evaluation.classification.EvaluationBinary
-
- scoreForMetric(RegressionEvaluation.Metric) - Method in class org.nd4j.evaluation.regression.RegressionEvaluation
-
- sd() - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- sd - Variable in class org.nd4j.autodiff.samediff.ops.SDOps
-
- sd() - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- SDBaseOps - Class in org.nd4j.autodiff.samediff.ops
-
Core op creator methods available via SameDiff class directly
- SDBaseOps() - Constructor for class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- SDCNN - Class in org.nd4j.autodiff.samediff.ops
-
SameDiff Convolutional Neural Network operations - CNN1d, 2d and 3d ops - as well as related functions.
Accessible via
SameDiff.cnn()
See also
SDNN
(accessible via
SameDiff.nn()
for general neural network ops.
See also
SDRNN
(accessible via
SameDiff.rnn()
for recurrent neural network ops.
- SDCNN(SameDiff) - Constructor for class org.nd4j.autodiff.samediff.ops.SDCNN
-
- SDIndex - Class in org.nd4j.autodiff.samediff
-
- SDIndex() - Constructor for class org.nd4j.autodiff.samediff.SDIndex
-
- SDIndex.IndexType - Enum in org.nd4j.autodiff.samediff
-
- SDLoss - Class in org.nd4j.autodiff.samediff.ops
-
- SDLoss(SameDiff) - Constructor for class org.nd4j.autodiff.samediff.ops.SDLoss
-
- SDMath - Class in org.nd4j.autodiff.samediff.ops
-
- SDMath(SameDiff) - Constructor for class org.nd4j.autodiff.samediff.ops.SDMath
-
- SDNN - Class in org.nd4j.autodiff.samediff.ops
-
- SDNN(SameDiff) - Constructor for class org.nd4j.autodiff.samediff.ops.SDNN
-
- SDOps - Class in org.nd4j.autodiff.samediff.ops
-
Abstract class for defining categories of operations - such as
SDMath
that is available via
SameDiff.math()
- SDOps(SameDiff) - Constructor for class org.nd4j.autodiff.samediff.ops.SDOps
-
- sdot(long, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- sdot(long, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- sdoti(long, INDArray, DataBuffer, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- SDRandom - Class in org.nd4j.autodiff.samediff.ops
-
- SDRandom(SameDiff) - Constructor for class org.nd4j.autodiff.samediff.ops.SDRandom
-
- SDRNN - Class in org.nd4j.autodiff.samediff.ops
-
- SDRNN(SameDiff) - Constructor for class org.nd4j.autodiff.samediff.ops.SDRNN
-
- sdsdot(long, float, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- SDValidation - Class in org.nd4j.autodiff.samediff.ops
-
- SDVariable - Class in org.nd4j.autodiff.samediff
-
A variable representing a component within a
graph.
- SDVariable(String, VariableType, SameDiff, long[], DataType, WeightInitScheme) - Constructor for class org.nd4j.autodiff.samediff.SDVariable
-
- second() - Method in class org.nd4j.graph.IntPair
-
- second() - Method in class org.nd4j.graph.IntTriple
-
- second() - Method in class org.nd4j.graph.LongPair
-
- second() - Method in class org.nd4j.graph.LongTriple
-
- seed - Variable in class org.nd4j.linalg.api.rng.DefaultRandom
-
- SEGMENT_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.TensorProto
-
- SEGMENT_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.TensorProto
-
- segmentMax(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- segmentMax(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- segmentMax(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Segment max operation.
If data = [3, 6, 1, 4, 9, 2, 8]
segmentIds = [0, 0, 1, 1, 1, 2, 2]
then output = [6, 9, 8] = [max(3,6), max(1,4,9), max(2,8)]
Note that the segment IDs must be sorted from smallest to largest segment.
- SegmentMax - Class in org.nd4j.linalg.api.ops.impl.transforms.custom.segment
-
Segment max operation
- SegmentMax(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMax
-
- SegmentMax() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMax
-
- segmentMaxBp(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- SegmentMaxBp - Class in org.nd4j.linalg.api.ops.impl.transforms.segment.bp
-
Segment max backprop operation
- SegmentMaxBp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentMaxBp
-
- SegmentMaxBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentMaxBp
-
- segmentMean(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- segmentMean(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- segmentMean(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Segment mean operation.
If data = [3, 6, 1, 4, 9, 2, 8]
segmentIds = [0, 0, 1, 1, 1, 2, 2]
then output = [4.5, 4.666, 5] = [mean(3,6), mean(1,4,9), mean(2,8)]
Note that the segment IDs must be sorted from smallest to largest segment.
- SegmentMean - Class in org.nd4j.linalg.api.ops.impl.transforms.custom.segment
-
Segment mean operation
- SegmentMean(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMean
-
- SegmentMean() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMean
-
- segmentMeanBp(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- SegmentMeanBp - Class in org.nd4j.linalg.api.ops.impl.transforms.segment.bp
-
Segment mean backprop operation
- SegmentMeanBp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentMeanBp
-
- SegmentMeanBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentMeanBp
-
- segmentMin(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- segmentMin(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- segmentMin(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Segment min operation.
If data = [3, 6, 1, 4, 9, 2, 8]
segmentIds = [0, 0, 1, 1, 1, 2, 2]
then output = [3, 1, 2] = [min(3,6), min(1,4,9), min(2,8)]
Note that the segment IDs must be sorted from smallest to largest segment.
- SegmentMin - Class in org.nd4j.linalg.api.ops.impl.transforms.custom.segment
-
Segment min operation
- SegmentMin(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMin
-
- SegmentMin() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMin
-
- segmentMinBp(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- SegmentMinBp - Class in org.nd4j.linalg.api.ops.impl.transforms.segment.bp
-
Segment min backprop operation
- SegmentMinBp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentMinBp
-
- SegmentMinBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentMinBp
-
- segmentProd(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- segmentProd(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- segmentProd(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Segment product operation.
If data = [3, 6, 1, 4, 9, 2, 8]
segmentIds = [0, 0, 1, 1, 1, 2, 2]
then output = [18, 36, 16] = [prod(3,6), prod(1,4,9), prod(2,8)]
Note that the segment IDs must be sorted from smallest to largest segment.
- SegmentProd - Class in org.nd4j.linalg.api.ops.impl.transforms.custom.segment
-
Segment product operation
- SegmentProd(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentProd
-
- SegmentProd() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentProd
-
- segmentProdBp(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- SegmentProdBp - Class in org.nd4j.linalg.api.ops.impl.transforms.segment.bp
-
Segment product backprop operation
- SegmentProdBp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentProdBp
-
- SegmentProdBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentProdBp
-
- segmentSum(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- segmentSum(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- segmentSum(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Segment sum operation.
If data = [3, 6, 1, 4, 9, 2, 8]
segmentIds = [0, 0, 1, 1, 1, 2, 2]
then output = [9, 14, 10] = [sum(3,6), sum(1,4,9), sum(2,8)]
Note that the segment IDs must be sorted from smallest to largest segment.
- SegmentSum - Class in org.nd4j.linalg.api.ops.impl.transforms.custom.segment
-
Segment sum operation
- SegmentSum(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentSum
-
- SegmentSum() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentSum
-
- segmentSumBp(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- SegmentSumBp - Class in org.nd4j.linalg.api.ops.impl.transforms.segment.bp
-
Segment sum backprop operation
- SegmentSumBp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentSumBp
-
- SegmentSumBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentSumBp
-
- Select - Class in org.nd4j.linalg.api.ops.impl.controlflow
-
- Select(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Select
-
- Select(INDArray[], INDArray[], List<Double>, List<Integer>) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Select
-
- Select(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Select
-
- Select(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Select
-
- selu(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- selu(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN
-
Element-wise SeLU function - Scaled exponential Lineal Unit: see
Self-Normalizing Neural Networks
out[i] = scale * alpha * (exp(in[i])-1) if in[i]>0, or 0 if in[i] <= 0
Uses default lcale and alpha values.
- selu(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN
-
Element-wise SeLU function - Scaled exponential Lineal Unit: see
Self-Normalizing Neural Networks
out[i] = scale * alpha * (exp(in[i])-1) if in[i]>0, or 0 if in[i] <= 0
Uses default lcale and alpha values.
- SELU - Class in org.nd4j.linalg.api.ops.impl.transforms.strict
-
SELU activation function
- SELU(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SELU
-
- SELU() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SELU
-
- SELU(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SELU
-
- SELU(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SELU
-
- seluDerivative(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- SELUDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient
-
SELU Derivative elementwise function
https://arxiv.org/pdf/1706.02515.pdf
- SELUDerivative(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative
-
- SELUDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative
-
- SELUDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative
-
- SELUDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative
-
- SEND_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunGraphRequest
-
- SEND_START_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvBufResponse
-
- SEND_START_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvTensorResponse
-
- separableConv2d(SDVariable, SDVariable, SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN
-
Separable 2D convolution operation without bias
- separableConv2d(SDVariable, SDVariable, SDVariable, SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN
-
Separable 2D convolution operation with optional bias
- SEQUENCE_TYPE_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.TypeProto
-
- sequenceMask(SDVariable, SDVariable, DataType) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sequenceMask(SDVariable, int, DataType) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sequenceMask(SDVariable, DataType) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sequenceMask(SDVariable, int, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- sequenceMask(String, SDVariable, int, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- sequenceMask(String, SDVariable, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- sequenceMask(SDVariable, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- sequenceMask(SDVariable, SDVariable, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- sequenceMask(String, SDVariable, SDVariable, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Generate a sequence mask (with values 0 or 1) based on the specified lengths
Specifically, out[i, ..., k, j] = (j < lengths[i, ..., k] ? 1.0 : 0.0)
- SequenceMask - Class in org.nd4j.linalg.api.ops.impl.shape
-
Created by farizrahman4u on 3/28/18.
- SequenceMask(SameDiff, SDVariable, SDVariable, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SequenceMask
-
- SequenceMask(SameDiff, SDVariable, int, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SequenceMask
-
- SequenceMask(SameDiff, SDVariable, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SequenceMask
-
- SEQUENTIAL - Static variable in class org.nd4j.graph.ExecutionMode
-
- serialize(ConfusionMatrix<Integer>, JsonGenerator, SerializerProvider) - Method in class org.nd4j.evaluation.serde.ConfusionMatrixSerializer
-
- serialize(ROC[], JsonGenerator, SerializerProvider) - Method in class org.nd4j.evaluation.serde.ROCArraySerializer
-
- serialize(ROC, JsonGenerator, SerializerProvider) - Method in class org.nd4j.evaluation.serde.ROCSerializer
-
- serialize(INDArray, JsonGenerator, SerializerProvider) - Method in class org.nd4j.linalg.lossfunctions.serde.RowVectorSerializer
-
Deprecated.
- serialize(INDArray, JsonGenerator, SerializerProvider) - Method in class org.nd4j.serde.jackson.shaded.NDArraySerializer
-
- serialize(INDArray, JsonGenerator, SerializerProvider) - Method in class org.nd4j.serde.jackson.shaded.NDArrayTextSerializer
-
- SERIALIZED_EXECUTOR_PARAMETERS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
- serializeWithType(ROC, JsonGenerator, SerializerProvider, TypeSerializer) - Method in class org.nd4j.evaluation.serde.ROCSerializer
-
- serialVersionUID - Static variable in error org.nd4j.linalg.api.blas.BlasException
-
- SERVER_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CreateWorkerSessionRequest
-
- SERVER_DEF_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
-
- SERVER_LOCALITY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvBufRequest
-
- SERVER_LOCALITY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvTensorRequest
-
- ServerDef - Class in org.tensorflow.distruntime
-
Defines the configuration of a single TensorFlow server.
- ServerDef.Builder - Class in org.tensorflow.distruntime
-
Defines the configuration of a single TensorFlow server.
- ServerDefOrBuilder - Interface in org.tensorflow.distruntime
-
- ServerProtos - Class in org.tensorflow.distruntime
-
- SESSION_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CloseSessionRequest
-
- SESSION_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CreateSessionResponse
-
- SESSION_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CreateWorkerSessionRequest
-
- SESSION_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.DeleteWorkerSessionRequest
-
- SESSION_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.DeregisterGraphRequest
-
- SESSION_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.ExtendSessionRequest
-
- SESSION_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.ListDevicesRequest
-
- SESSION_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.MakeCallableRequest
-
- SESSION_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.PartialRunSetupRequest
-
- SESSION_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RegisterGraphRequest
-
- SESSION_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.ReleaseCallableRequest
-
- SESSION_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunCallableRequest
-
- SESSION_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunGraphRequest
-
- SESSION_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunStepRequest
-
- SESSION_INTER_OP_THREAD_POOL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ConfigProto
-
- Set - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise
-
Set
- Set(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.Set
-
- Set(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.Set
-
- Set(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.Set
-
- Set() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.Set
-
- Set(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.Set
-
- set(Throwable) - Method in class org.nd4j.linalg.util.AtomicThrowable
-
This method updates state with given Throwable
- set(int, T) - Method in class org.nd4j.linalg.util.DeviceLocal
-
This method sets object for specific device
- set(T) - Method in class org.nd4j.linalg.util.DeviceLocal
-
This method sets object for current device
- set(int, X) - Method in class org.nd4j.list.BaseNDArrayList
-
- set(int, X) - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
-
- set(int, Double) - Method in class org.nd4j.list.NDArrayList
-
- setActiveBranch(String, int) - Method in class org.nd4j.autodiff.samediff.flow.FlowPath
-
This method sets active/inactive branch for divergent nodes (aka Switch)
- setAliasInputPort(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
If >= 0, the output is an alias of an input.
- setAllEndRelMicros(long) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 all_end_rel_micros = 5;
- setAllocatedBytes(long) - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Total number of bytes allocated if known
- setAllocationDescription(AllocationDescription) - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Information about the size and allocator used for the data
- setAllocationDescription(AllocationDescription.Builder) - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Information about the size and allocator used for the data
- setAllocationId(long) - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Identifier of the allocated buffer if known
- setAllocationId(long) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Id of the tensor buffer being allocated, used to match to a
corresponding deallocation.
- setAllocationId(long) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Id of the tensor buffer being deallocated, used to match to a
corresponding allocation.
- setAllocationId(long) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
Id of the tensor buffer being deallocated, used to match to a
corresponding allocation.
- setAllocationRecords(int, AllocationRecord) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- setAllocationRecords(int, AllocationRecord.Builder) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- setAllocatorBytesInUse(long) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
These are snapshots of the overall allocator memory stats.
- setAllocatorName(String) - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Name of the allocator used
- setAllocatorName(String) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
string allocator_name = 1;
- setAllocatorName(String) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Name of the allocator used.
- setAllocatorName(String) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Name of the allocator used.
- setAllocatorName(String) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
Name of the allocator used.
- setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Name of the allocator used
- setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
string allocator_name = 1;
- setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Name of the allocator used.
- setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Name of the allocator used.
- setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
Name of the allocator used.
- setAllocatorType(String) - Method in class org.tensorflow.framework.GPUOptions.Builder
-
The type of GPU allocation strategy to use.
- setAllocatorTypeBytes(ByteString) - Method in class org.tensorflow.framework.GPUOptions.Builder
-
The type of GPU allocation strategy to use.
- setAllocBytes(long) - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
Number of bytes allocated, or de-allocated if negative.
- setAllocMicros(long) - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
The timestamp of the operation.
- setAllowedValues(AttrValue) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
A list of values that this kernel supports for this attr.
- setAllowedValues(AttrValue.Builder) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
A list of values that this kernel supports for this attr.
- setAllowedValues(AttrValue) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
The set of allowed values.
- setAllowedValues(AttrValue.Builder) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
The set of allowed values.
- setAllowGrowth(boolean) - Method in class org.tensorflow.framework.GPUOptions.Builder
-
If true, the allocator does not pre-allocate the entire specified
GPU memory region, instead starting small and growing as needed.
- setAllowSoftPlacement(boolean) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Whether soft placement is allowed.
- setAllowsUninitializedInput(boolean) - Method in class org.tensorflow.framework.OpDef.Builder
-
By default, all inputs to an Op must be initialized Tensors.
- setAllStartMicros(long) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 all_start_micros = 2;
- setAnyInfo(Any) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
A serialized protobuf.
- setAnyInfo(Any.Builder) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
A serialized protobuf.
- setAnyList(CollectionDef.AnyList) - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.AnyList any_list = 5;
- setAnyList(CollectionDef.AnyList.Builder) - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.AnyList any_list = 5;
- setArgOrder(int, String) - Method in class org.tensorflow.framework.ApiDef.Builder
-
List of original in_arg names to specify new argument order.
- setArithmeticOptimization(RewriterConfig.Toggle) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Arithmetic optimizations (default is ON)
e.g.
- setArithmeticOptimizationValue(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Arithmetic optimizations (default is ON)
e.g.
- setArray(INDArray) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
Associate the specified array with this variable
- setArrayForVariable(String, INDArray) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- setAssetFileDef(int, AssetFileDef) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
Asset file def to be used with the defined graph.
- setAssetFileDef(int, AssetFileDef.Builder) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
Asset file def to be used with the defined graph.
- setAsync(boolean) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
Whether the ops on the worker should be executed synchronously or
asynchronously.
- setAttr(int, ApiDef.Attr) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- setAttr(int, ApiDef.Attr.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- setAttr(int, OpDef.AttrDef) - Method in class org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- setAttr(int, OpDef.AttrDef.Builder) - Method in class org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- setAttribute(int, OnnxMlProto3.AttributeProto) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
Additional named attributes.
- setAttribute(int, OnnxMlProto3.AttributeProto.Builder) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
Additional named attributes.
- setAttribute(int, OnnxProto3.AttributeProto) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
Additional named attributes.
- setAttribute(int, OnnxProto3.AttributeProto.Builder) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
Additional named attributes.
- setAttributes(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Serialized data specific to this object.
- setAttributes(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Serialized data specific to this object.
- setAudio(Summary.Audio) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Audio audio = 6;
- setAudio(Summary.Audio.Builder) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Audio audio = 6;
- setAutoGcWindow(int) - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- setAutoGcWindow(int) - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method enables/disables periodic System.gc() calls.
- setAutoParallel(AutoParallelOptions) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Configures AutoParallel optimization passes either through the
meta-optimizer or when manually specified through the optimizers field.
- setAutoParallel(AutoParallelOptions.Builder) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Configures AutoParallel optimization passes either through the
meta-optimizer or when manually specified through the optimizers field.
- setAxis(int) - Method in class org.nd4j.evaluation.classification.Evaluation
-
Set the axis for evaluation - this is the dimension along which the probability (and label classes) are present.
For DL4J, this can be left as the default setting (axis = 1).
Axis should be set as follows:
For 2D (OutputLayer), shape [minibatch, numClasses] - axis = 1
For 3D, RNNs/CNN1D (DL4J RnnOutputLayer), NCW format, shape [minibatch, numClasses, sequenceLength] - axis = 1
For 3D, RNNs/CNN1D (DL4J RnnOutputLayer), NWC format, shape [minibatch, sequenceLength, numClasses] - axis = 2
For 4D, CNN2D (DL4J CnnLossLayer), NCHW format, shape [minibatch, channels, height, width] - axis = 1
For 4D, CNN2D, NHWC format, shape [minibatch, height, width, channels] - axis = 3
- setAxis(int) - Method in class org.nd4j.evaluation.classification.EvaluationCalibration
-
Set the axis for evaluation - this is the dimension along which the probability (and label classes) are present.
For DL4J, this can be left as the default setting (axis = 1).
Axis should be set as follows:
For 2D (OutputLayer), shape [minibatch, numClasses] - axis = 1
For 3D, RNNs/CNN1D (DL4J RnnOutputLayer), NCW format, shape [minibatch, numClasses, sequenceLength] - axis = 1
For 3D, RNNs/CNN1D (DL4J RnnOutputLayer), NWC format, shape [minibatch, sequenceLength, numClasses] - axis = 2
For 4D, CNN2D (DL4J CnnLossLayer), NCHW format, shape [minibatch, channels, height, width] - axis = 1
For 4D, CNN2D, NHWC format, shape [minibatch, height, width, channels] - axis = 3
- setAxis(int) - Method in class org.nd4j.evaluation.classification.ROC
-
Set the axis for evaluation - this should be a size 1 dimension
For DL4J, this can be left as the default setting (axis = 1).
Axis should be set as follows:
For 2D (OutputLayer), shape [minibatch, numClasses] - axis = 1
For 3D, RNNs/CNN1D (DL4J RnnOutputLayer), NCW format, shape [minibatch, numClasses, sequenceLength] - axis = 1
For 3D, RNNs/CNN1D (DL4J RnnOutputLayer), NWC format, shape [minibatch, sequenceLength, numClasses] - axis = 2
For 4D, CNN2D (DL4J CnnLossLayer), NCHW format, shape [minibatch, channels, height, width] - axis = 1
For 4D, CNN2D, NHWC format, shape [minibatch, height, width, channels] - axis = 3
- setAxis(int) - Method in class org.nd4j.evaluation.classification.ROCBinary
-
Set the axis for evaluation - this is the dimension along which the probability (and label independent binary classes) are present.
For DL4J, this can be left as the default setting (axis = 1).
Axis should be set as follows:
For 2D (OutputLayer), shape [minibatch, numClasses] - axis = 1
For 3D, RNNs/CNN1D (DL4J RnnOutputLayer), NCW format, shape [minibatch, numClasses, sequenceLength] - axis = 1
For 3D, RNNs/CNN1D (DL4J RnnOutputLayer), NWC format, shape [minibatch, sequenceLength, numClasses] - axis = 2
For 4D, CNN2D (DL4J CnnLossLayer), NCHW format, shape [minibatch, channels, height, width] - axis = 1
For 4D, CNN2D, NHWC format, shape [minibatch, height, width, channels] - axis = 3
- setAxis(int) - Method in class org.nd4j.evaluation.classification.ROCMultiClass
-
Set the axis for evaluation - this is the dimension along which the probability (and label classes) are present.
For DL4J, this can be left as the default setting (axis = 1).
Axis should be set as follows:
For 2D (OutputLayer), shape [minibatch, numClasses] - axis = 1
For 3D, RNNs/CNN1D (DL4J RnnOutputLayer), NCW format, shape [minibatch, numClasses, sequenceLength] - axis = 1
For 3D, RNNs/CNN1D (DL4J RnnOutputLayer), NWC format, shape [minibatch, sequenceLength, numClasses] - axis = 2
For 4D, CNN2D (DL4J CnnLossLayer), NCHW format, shape [minibatch, channels, height, width] - axis = 1
For 4D, CNN2D, NHWC format, shape [minibatch, height, width, channels] - axis = 3
- setB(boolean) - Method in class org.tensorflow.framework.AttrValue.Builder
-
"bool"
- setB(int, boolean) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(bool)"
- setBackProp(boolean) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Whether backprop is enabled for this while loop.
- setBadConsumers(int, int) - Method in class org.tensorflow.framework.VersionDef.Builder
-
Specific consumer versions which are disallowed (e.g.
- setBandwidth(long) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Memory bandwidth in KB/s
- setBArguments(boolean...) - Method in class org.nd4j.linalg.api.ops.BaseOpContext
-
- setBArguments(boolean...) - Method in interface org.nd4j.linalg.api.ops.OpContext
-
This method sets boolean arguments required for operation
- setBaseNameForFunctionInstanceId(String, DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Sets a base name for the function id.
- setBegin(long) - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
int64 begin = 1;
- setBegin(long) - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
int64 begin = 1;
- setBiasCorrected(boolean) - Method in class org.nd4j.linalg.api.ops.impl.summarystats.Variance
-
- setBlasWrapper(BlasWrapper) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Sets the global blas wrapper
- setBoolVal(int, boolean) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_BOOL
- setBranch(int) - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Branch prediction.
- setBucket(int, double) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
repeated double bucket = 7 [packed = true];
- setBucketLimit(int, double) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- setBufPtr(long) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
When RDMA is in use, address of destination field on client.
- setBufPtr(long) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
-
Address of source field on server.
- setBufRendezvousKey(String) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Arbitrary string identifying a BufRendezvous entry.
- setBufRendezvousKeyBytes(ByteString) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Arbitrary string identifying a BufRendezvous entry.
- setBuildCostModel(long) - Method in class org.tensorflow.framework.GraphOptions.Builder
-
The number of steps to run before returning a cost model detailing
the memory usage and performance of each node of the graph.
- setBuildCostModelAfter(long) - Method in class org.tensorflow.framework.GraphOptions.Builder
-
The number of steps to skip before collecting statistics for the
cost model.
- setBusId(int) - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
Optional bus locality of device.
- setBytes(long) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
Byte size of the file.
- setBytesList(CollectionDef.BytesList) - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.BytesList bytes_list = 2;
- setBytesList(CollectionDef.BytesList.Builder) - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.BytesList bytes_list = 2;
- setCancelOpName(String) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
The operation to run to cancel the queue.
- setCancelOpNameBytes(ByteString) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
The operation to run to cancel the queue.
- setCheckpointKey(String) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
The generated name of the Tensor in the checkpoint.
- setCheckpointKeyBytes(ByteString) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
The generated name of the Tensor in the checkpoint.
- setChildren(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Objects which this object depends on.
- setChildren(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Objects which this object depends on.
- setClear(boolean) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
-
If true, discard any saved logging data (for all steps).
- setClientLocality(DeviceLocality) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional information on client-side device locality.
- setClientLocality(DeviceLocality.Builder) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional information on client-side device locality.
- setClientLocality(DeviceLocality) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Optional information on client-side device locality.
- setClientLocality(DeviceLocality.Builder) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Optional information on client-side device locality.
- setCloseOpName(String) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
The operation to run to close the queue.
- setCloseOpNameBytes(ByteString) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
The operation to run to close the queue.
- setCluster(ClusterDef) - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
The cluster of which this server is a member.
- setCluster(ClusterDef.Builder) - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
The cluster of which this server is a member.
- setClusterDef(ClusterDef) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Optional list of all workers to use in this session.
- setClusterDef(ClusterDef.Builder) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Optional list of all workers to use in this session.
- setCollectiveGraphKey(long) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
If graph_def contains any collective ops this must be a positive
integer used to coordinate execution with other graphs.
- setCollectiveGraphKey(long) - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder
-
If non-zero, declares that this graph is going to use collective
ops and must synchronize step_ids with any other graph with this
same group_key value (in a distributed computation where tasks
run disjoint graphs).
- setCollectiveGroupLeader(String) - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder
-
Task name for group resolution.
- setCollectiveGroupLeaderBytes(ByteString) - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder
-
Task name for group resolution.
- setColorspace(int) - Method in class org.tensorflow.framework.Summary.Image.Builder
-
Valid colorspace values are
1 - grayscale
2 - grayscale + alpha
3 - RGB
4 - RGBA
5 - DIGITAL_YUV
6 - BGRA
- setColumnNames(List<String>) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- setColumnNames(List<String>) - Method in class org.nd4j.linalg.dataset.DataSet
-
Deprecated.
- setComplete(String, boolean) - Method in interface org.nd4j.linalg.dataset.api.iterator.cache.DataSetCache
-
Sets the flag indicating whether given namespace is fully cached
- setComplete(String, boolean) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache
-
- setComplete(String, boolean) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache
-
- setComplete(String, boolean) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InMemoryDataSetCache
-
- setComputeCost(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Estimate of the computational cost of this node, in microseconds.
- setComputeTime(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Analytical estimate of the computational cost of this node, in
microseconds.
- setCondCtxt(CondContextDef) - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder
-
.tensorflow.CondContextDef cond_ctxt = 1;
- setCondCtxt(CondContextDef.Builder) - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder
-
.tensorflow.CondContextDef cond_ctxt = 1;
- setConfig(ConfigProto) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
-
Configuration options.
- setConfig(ConfigProto.Builder) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
-
Configuration options.
- setConfiguration(T, WorkspaceConfiguration) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr
-
- setConfiguration(T, WorkspaceConfiguration) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr
-
Set the workspace configuration for the specified array type
- setConstantFolding(RewriterConfig.Toggle) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Fold constants (default is ON)
Statically infer the value of tensors when possible, and materialize the
result using constants.
- setConstantFoldingValue(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Fold constants (default is ON)
Statically infer the value of tensors when possible, and materialize the
result using constants.
- setConstNodeInfo(int, GraphTransferConstNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- setConstNodeInfo(int, GraphTransferConstNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- setConstraint(int, KernelDef.AttrConstraint) - Method in class org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- setConstraint(int, KernelDef.AttrConstraint.Builder) - Method in class org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- setContainer(int, String) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder
-
A list of container names.
- setContainer(int, String) - Method in class org.tensorflow.distruntime.ResetRequest.Builder
-
A list of container names, which may be empty.
- setContainer(String) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Container in which this resource is placed.
- setContainerBytes(ByteString) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Container in which this resource is placed.
- setContent(ByteString) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
The content to store for the plugin.
- setContentType(String) - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
string content_type = 5;
- setContentTypeBytes(ByteString) - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
string content_type = 5;
- setContextId(long) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
-
fixed64 context_id = 1;
- setContextId(long) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
The ID of the created context.
- setContextId(long) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
fixed64 context_id = 1;
- setContextId(long) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
-
fixed64 context_id = 1;
- setContextId(long) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
-
fixed64 context_id = 1;
- setContextId(long) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
-
fixed64 context_id = 1;
- setContextName(String) - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Name of the context.
- setContextName(String) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Name of the context.
- setContextNameBytes(ByteString) - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Name of the context.
- setContextNameBytes(ByteString) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Name of the context.
- setControlInput(int, int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Ids of the control inputs for this node.
- setControlOpIds(int, long) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
Control Operation IDs that will be respected when ops are re-ordered by
async execution.
- setConvolution(ConvolutionInstance) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Set a convolution instance
- setCooSparse(TensorInfo.CooSparse) - Method in class org.tensorflow.framework.TensorInfo.Builder
-
There are many possible encodings of sparse matrices
(https://en.wikipedia.org/wiki/Sparse_matrix).
- setCooSparse(TensorInfo.CooSparse.Builder) - Method in class org.tensorflow.framework.TensorInfo.Builder
-
There are many possible encodings of sparse matrices
(https://en.wikipedia.org/wiki/Sparse_matrix).
- setCostGraph(CostGraphDef) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
.tensorflow.CostGraphDef cost_graph = 3;
- setCostGraph(CostGraphDef.Builder) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
.tensorflow.CostGraphDef cost_graph = 3;
- setCostGraph(CostGraphDef) - Method in class org.tensorflow.framework.RunMetadata.Builder
-
The cost graph for the computation defined by the run call.
- setCostGraph(CostGraphDef.Builder) - Method in class org.tensorflow.framework.RunMetadata.Builder
-
The cost graph for the computation defined by the run call.
- setCrc32C(int) - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
The CRC32C checksum of the tensor bytes.
- setCreateWorkerSessionCalled(boolean) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
Set to true if `CreateWorkerSession` was called for `session_handle`.
- setCreateWorkerSessionCalled(boolean) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Set to true if `CreateWorkerSession` was called for `session_handle`.
- setCreateWorkerSessionCalled(boolean) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
Set to true if `CreateWorkerSession` was called for `session_handle`.
- setCriticalSectionName(String) - Method in class org.tensorflow.framework.CriticalSectionDef.Builder
-
Name of the critical section handle.
- setCriticalSectionNameBytes(ByteString) - Method in class org.tensorflow.framework.CriticalSectionDef.Builder
-
Name of the critical section handle.
- setCurrentGraphVersion(long) - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
REQUIRED: The version number of the graph to be extended.
- setCurrentWork(ByteString) - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
bytes current_work = 4;
- setCurrentWorkspace(MemoryWorkspace) - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- setCurrentWorkspace(MemoryWorkspace) - Method in interface org.nd4j.linalg.memory.MemoryManager
-
- setCustomOptimizers(int, RewriterConfig.CustomGraphOptimizer) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
list of CustomGraphOptimizers to apply.
- setCustomOptimizers(int, RewriterConfig.CustomGraphOptimizer.Builder) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
list of CustomGraphOptimizers to apply.
- setData(float[], INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Set the data for the underlying array.
- setData(double[], INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Set the data for the underlying array.
- setData(DataBuffer) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- setData(DataBuffer) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- setData(DataBuffer) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- setData(ByteString) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
bytes data = 4;
- setDataType(OnnxMlProto3.TensorProto.DataType) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
The data type of the tensor.
- setDataType(OnnxProto3.TensorProto.DataType) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
The data type of the tensor.
- setDataType(DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- setDataType(DataType) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
.tensorflow.DataType data_type = 3;
- setDataTypeValue(int) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
The data type of the tensor.
- setDataTypeValue(int) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
The data type of the tensor.
- setDataTypeValue(int) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
.tensorflow.DataType data_type = 3;
- setDcomplexVal(int, double) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX128.
- setDebugMode(DebugMode) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
- setDebugOps(int, String) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
Name(s) of the debugging op(s).
- setDebugOptions(DebugOptions) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Field(s) used by TensorFlow Debugger (tfdbg).
- setDebugOptions(DebugOptions.Builder) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Field(s) used by TensorFlow Debugger (tfdbg).
- setDebugOptions(DebugOptions) - Method in class org.tensorflow.framework.RunOptions.Builder
-
EXPERIMENTAL.
- setDebugOptions(DebugOptions.Builder) - Method in class org.tensorflow.framework.RunOptions.Builder
-
EXPERIMENTAL.
- setDebugStripper(RewriterConfig.Toggle) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Strips debug-related nodes from the graph (off by default).
- setDebugStripperValue(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Strips debug-related nodes from the graph (off by default).
- setDebugTensorWatchOpts(int, DebugTensorWatch) - Method in class org.tensorflow.framework.DebugOptions.Builder
-
Debugging options
- setDebugTensorWatchOpts(int, DebugTensorWatch.Builder) - Method in class org.tensorflow.framework.DebugOptions.Builder
-
Debugging options
- setDebugUrls(int, String) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
URL(s) for debug targets(s).
- setDefaultCompression(String) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
Set the default compression algorithm
- setDefaultDataTypes(DataType, DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Set the default data types.
The default data types are used for array creation methods where no data type is specified.
When the user explicitly provides a datatype (such as in Nd4j.ones(DataType.FLOAT, 1, 10)) these default values
will not be used.
defaultType: used in methods such as Nd4j.ones(1,10) and Nd4j.zeros(10).
defaultFloatingPointType: used internally where a floating point array needs to be created, but no datatype is specified.
- setDefaultGraphInputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- setDefaultGraphInputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- setDefaultGraphOutputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- setDefaultGraphOutputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- setDefaultSessionConfig(ConfigProto) - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
The default configuration for sessions that run on this server.
- setDefaultSessionConfig(ConfigProto.Builder) - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
The default configuration for sessions that run on this server.
- setDefaultValue(AttrValue) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Specify a new default value to use for this attr.
- setDefaultValue(AttrValue.Builder) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Specify a new default value to use for this attr.
- setDefaultValue(AttrValue) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
A reasonable default for this attribute if the user does not supply
a value.
- setDefaultValue(AttrValue.Builder) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
A reasonable default for this attribute if the user does not supply
a value.
- setDefaultWorkspaceConfiguration(WorkspaceConfiguration) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
This method allows to specify "Default" configuration, that will be used in signatures which do not have WorkspaceConfiguration argument
- setDeferred(boolean) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
True if the deallocation is queued and will be performed later,
e.g.
- setDeferredDeletionBytes(long) - Method in class org.tensorflow.framework.GPUOptions.Builder
-
Delay deletion of up to this many bytes to reduce the number of
interactions with gpu driver code.
- setDenseShapeTensorName(String) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
The dynamic logical shape represented by the SparseTensor is recorded in
the Tensor referenced here.
- setDenseShapeTensorNameBytes(ByteString) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
The dynamic logical shape represented by the SparseTensor is recorded in
the Tensor referenced here.
- setDependencyOptimization(RewriterConfig.Toggle) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Control dependency optimizations (default is ON).
- setDependencyOptimizationValue(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Control dependency optimizations (default is ON).
- setDeprecation(OpDeprecation) - Method in class org.tensorflow.framework.OpDef.Builder
-
Optional deprecation based on GraphDef versions.
- setDeprecation(OpDeprecation.Builder) - Method in class org.tensorflow.framework.OpDef.Builder
-
Optional deprecation based on GraphDef versions.
- setDeprecationMessage(String) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
If this endpoint is deprecated, set deprecation_message to a
message that should be logged when the endpoint is used.
- setDeprecationMessageBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
If this endpoint is deprecated, set deprecation_message to a
message that should be logged when the endpoint is used.
- setDescription(String) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
Note: this will replace any inherited arg doc.
- setDescription(String) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Note: this will replace any inherited attr doc, there is no current
way of modifying attr descriptions as can be done with op descriptions.
- setDescription(String) - Method in class org.tensorflow.framework.ApiDef.Builder
-
Additional, longer human-readable description of what the Op does.
- setDescription(String) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Human readable description.
- setDescription(String) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
Human-readable description.
- setDescription(String) - Method in class org.tensorflow.framework.OpDef.Builder
-
Additional, longer human-readable description of what the Op does.
- setDescriptionBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
Note: this will replace any inherited arg doc.
- setDescriptionBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Note: this will replace any inherited attr doc, there is no current
way of modifying attr descriptions as can be done with op descriptions.
- setDescriptionBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Builder
-
Additional, longer human-readable description of what the Op does.
- setDescriptionBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Human readable description.
- setDescriptionBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
Human-readable description.
- setDescriptionBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.Builder
-
Additional, longer human-readable description of what the Op does.
- setDescriptionPrefix(String) - Method in class org.tensorflow.framework.ApiDef.Builder
-
Modify an existing/inherited description by adding text to the beginning
or end.
- setDescriptionPrefixBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Builder
-
Modify an existing/inherited description by adding text to the beginning
or end.
- setDescriptionSuffix(String) - Method in class org.tensorflow.framework.ApiDef.Builder
-
string description_suffix = 10;
- setDescriptionSuffixBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Builder
-
string description_suffix = 10;
- setDestination(GraphTransferInfo.Destination) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Destination of graph transfer
- setDestinationValue(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Destination of graph transfer
- setDevice(String) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
string device = 10;
- setDevice(String) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
The device of the node.
- setDevice(String) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
string device = 1;
- setDevice(String) - Method in class org.tensorflow.framework.NodeDef.Builder
-
A (possibly partial) specification for the device on which this
node should be placed.
- setDevice(String) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Unique name for the device containing the resource.
- setDevice(String) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
string device = 6;
- setDeviceAttributes(int, DeviceAttributes) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- setDeviceAttributes(int, DeviceAttributes.Builder) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- setDeviceAttributes(int, DeviceAttributes) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
List of devices that are locally accessible to the worker.
- setDeviceAttributes(int, DeviceAttributes.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
List of devices that are locally accessible to the worker.
- setDeviceBytes(ByteString) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
string device = 10;
- setDeviceBytes(ByteString) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
The device of the node.
- setDeviceBytes(ByteString) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
string device = 1;
- setDeviceBytes(ByteString) - Method in class org.tensorflow.framework.NodeDef.Builder
-
A (possibly partial) specification for the device on which this
node should be placed.
- setDeviceBytes(ByteString) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Unique name for the device containing the resource.
- setDeviceBytes(ByteString) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
string device = 6;
- setDeviceFilters(int, String) - Method in class org.tensorflow.distruntime.ResetRequest.Builder
-
When any filters are present, only devices that match the filters
will be reset.
- setDeviceFilters(int, String) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
When any filters are present sessions will ignore all devices which do not
match the filters.
- setDeviceId(int) - Method in class org.tensorflow.framework.InterconnectLink.Builder
-
int32 device_id = 1;
- setDeviceName(int, String) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
repeated string device_name = 4;
- setDeviceName(int, String) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
repeated string device_name = 5;
- setDevicePersistentMemorySize(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Deprecated.
- setDevicePersistentMemorySize(long) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
Deprecated.
- setDevicePersistentTensorAllocIds(int, long) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
Deprecated.
- setDeviceTempMemorySize(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Deprecated.
- setDeviceTempMemorySize(long) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
Deprecated.
- setDeviceType(String) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
string device_type = 3;
- setDeviceType(String) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
string device_type = 3;
- setDeviceType(String) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
string device_type = 8;
- setDeviceType(String) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
String representation of device_type.
- setDeviceType(String) - Method in class org.tensorflow.framework.KernelDef.Builder
-
Type of device this kernel runs on.
- setDeviceTypeBytes(ByteString) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
string device_type = 3;
- setDeviceTypeBytes(ByteString) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
string device_type = 3;
- setDeviceTypeBytes(ByteString) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
string device_type = 8;
- setDeviceTypeBytes(ByteString) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
String representation of device_type.
- setDeviceTypeBytes(ByteString) - Method in class org.tensorflow.framework.KernelDef.Builder
-
Type of device this kernel runs on.
- setDevStats(int, DeviceStepStats) - Method in class org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- setDevStats(int, DeviceStepStats.Builder) - Method in class org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- setDiag(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- setDiag(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
- setDiag(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Set the diagonal value to the specified values
If input is
[ a, b, c]
[ d, e, f]
[ g, h, i]
and diag = [ 1, 2, 3] then output is
[ 1, b, c]
[ d, 2, f]
[ g, h, 3]
- setDim(int, OnnxMlProto3.TensorShapeProto.Dimension) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- setDim(int, OnnxMlProto3.TensorShapeProto.Dimension.Builder) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- setDim(int, OnnxProto3.TensorShapeProto.Dimension) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- setDim(int, OnnxProto3.TensorShapeProto.Dimension.Builder) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- setDim(int, TensorShapeProto.Dim) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- setDim(int, TensorShapeProto.Dim.Builder) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- setDimension(int...) - Method in class org.nd4j.linalg.api.ops.BaseBroadcastBoolOp
-
- setDimension(int...) - Method in class org.nd4j.linalg.api.ops.BaseBroadcastOp
-
- setDimension(int...) - Method in class org.nd4j.linalg.api.ops.BaseScalarBoolOp
-
- setDimension(int...) - Method in class org.nd4j.linalg.api.ops.BaseScalarOp
-
- setDimension(int...) - Method in interface org.nd4j.linalg.api.ops.BroadcastOp
-
Set the dimension for the vector op.
- setDimension(int...) - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEps
-
- setDimension(int...) - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
-
- setDimension(int...) - Method in interface org.nd4j.linalg.api.ops.ScalarOp
-
- setDimensions(int...) - Method in class org.nd4j.linalg.api.ops.BaseReduceOp
-
- setDimensions(int[]) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNorm
-
- setDimensions(int[]) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNormBp
-
- setDimensions(int[]) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Standardize
-
- setDimensions(int[]) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.StandardizeBp
-
- setDimensions(int...) - Method in interface org.nd4j.linalg.api.ops.ReduceOp
-
- setDimParam(String) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
namespace Shape
- setDimParam(String) - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
namespace Shape
- setDimParamBytes(ByteString) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
namespace Shape
- setDimParamBytes(ByteString) - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
namespace Shape
- setDims(int, long) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
The shape of the tensor.
- setDims(int, long) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
The shape of the tensor.
- setDimValue(long) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
int64 dim_value = 1;
- setDimValue(long) - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
int64 dim_value = 1;
- setDisableModelPruning(boolean) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
If true, don't remove unnecessary ops from the graph
- setDisableRpcLogging(boolean) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
-
If true, RPC logging will be disabled.
- setDisplayName(String) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Display name for viewing in TensorBoard.
- setDisplayNameBytes(ByteString) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Display name for viewing in TensorBoard.
- setDmaOk(boolean) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
If true, use an out-of-band DMA mechanism to transfer the
received tensor.
- setDoCommonSubexpressionElimination(boolean) - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
If true, optimize the graph using common subexpression elimination.
- setDoConstantFolding(boolean) - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
If true, perform constant folding optimization on the graph.
- setDocString(String) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
A human-readable documentation for this attribute.
- setDocString(String) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A human-readable documentation for this graph.
- setDocString(String) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
A human-readable documentation for this model.
- setDocString(String) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
A human-readable documentation for this node.
- setDocString(String) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
A human-readable documentation for this tensor.
- setDocString(String) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
A human-readable documentation for this value.
- setDocString(String) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
A human-readable documentation for this operator.
- setDocString(String) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
A human-readable documentation for this set of operators.
- setDocString(String) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
A human-readable documentation for this attribute.
- setDocString(String) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A human-readable documentation for this graph.
- setDocString(String) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
A human-readable documentation for this model.
- setDocString(String) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
A human-readable documentation for this node.
- setDocString(String) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
A human-readable documentation for this tensor.
- setDocString(String) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
A human-readable documentation for this value.
- setDocStringBytes(ByteString) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
A human-readable documentation for this attribute.
- setDocStringBytes(ByteString) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A human-readable documentation for this graph.
- setDocStringBytes(ByteString) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
A human-readable documentation for this model.
- setDocStringBytes(ByteString) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
A human-readable documentation for this node.
- setDocStringBytes(ByteString) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
A human-readable documentation for this tensor.
- setDocStringBytes(ByteString) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
A human-readable documentation for this value.
- setDocStringBytes(ByteString) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
A human-readable documentation for this operator.
- setDocStringBytes(ByteString) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
A human-readable documentation for this set of operators.
- setDocStringBytes(ByteString) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
A human-readable documentation for this attribute.
- setDocStringBytes(ByteString) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A human-readable documentation for this graph.
- setDocStringBytes(ByteString) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
A human-readable documentation for this model.
- setDocStringBytes(ByteString) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
A human-readable documentation for this node.
- setDocStringBytes(ByteString) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
A human-readable documentation for this tensor.
- setDocStringBytes(ByteString) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
A human-readable documentation for this value.
- setDoFunctionInlining(boolean) - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
If true, perform function inlining on the graph.
- setDomain(String) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Domain name of the model.
- setDomain(String) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
The domain of the OperatorSet that specifies the operator named by op_type.
- setDomain(String) - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
The domain of the operator set being identified.
- setDomain(String) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).
- setDomain(String) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Domain name of the model.
- setDomain(String) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
The domain of the OperatorSet that specifies the operator named by op_type.
- setDomain(String) - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
The domain of the operator set being identified.
- setDomainBytes(ByteString) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Domain name of the model.
- setDomainBytes(ByteString) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
The domain of the OperatorSet that specifies the operator named by op_type.
- setDomainBytes(ByteString) - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
The domain of the operator set being identified.
- setDomainBytes(ByteString) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).
- setDomainBytes(ByteString) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Domain name of the model.
- setDomainBytes(ByteString) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
The domain of the OperatorSet that specifies the operator named by op_type.
- setDomainBytes(ByteString) - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
The domain of the operator set being identified.
- setDoubleData(int, double) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- setDoubleData(int, double) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- setDoubleVal(int, double) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_DOUBLE.
- setDstDevice(String) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
string dst_device = 9;
- setDstDeviceBytes(ByteString) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
string dst_device = 9;
- setDType(DataType) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Sets the data opType
- setDType(DataType) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Sets the data opType
- setDtype(DataType) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
.tensorflow.DataType dtype = 4;
- setDtype(DataType) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
.tensorflow.DataType dtype = 5;
- setDtype(DataType) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
.tensorflow.DataType dtype = 3;
- setDtype(DataType) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
.tensorflow.DataType dtype = 3;
- setDtype(DataType) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
.tensorflow.DataType dtype = 1;
- setDtype(DataType) - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Data type of tensor elements
- setDtype(DataType) - Method in class org.tensorflow.framework.TensorInfo.Builder
-
.tensorflow.DataType dtype = 2;
- setDtype(DataType) - Method in class org.tensorflow.framework.TensorProto.Builder
-
.tensorflow.DataType dtype = 1;
- setDtype(DataType) - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
The tensor dtype and shape.
- setDtypeValue(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
.tensorflow.DataType dtype = 4;
- setDtypeValue(int) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
.tensorflow.DataType dtype = 5;
- setDtypeValue(int) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
.tensorflow.DataType dtype = 3;
- setDtypeValue(int) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
.tensorflow.DataType dtype = 3;
- setDtypeValue(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
.tensorflow.DataType dtype = 1;
- setDtypeValue(int) - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Data type of tensor elements
- setDtypeValue(int) - Method in class org.tensorflow.framework.TensorInfo.Builder
-
.tensorflow.DataType dtype = 2;
- setDtypeValue(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
.tensorflow.DataType dtype = 1;
- setDtypeValue(int) - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
The tensor dtype and shape.
- setDuration(double) - Method in class org.tensorflow.distruntime.TraceOpts.Builder
-
Length of the trace to be taken, in seconds.
- setElementsThreshold(int) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
This method allows to set desired number of elements per thread, for performance optimization purposes.
- setElementsThreshold(int) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method allows to set desired number of elements per thread, for performance optimization purposes.
- setElementWiseStride(IntBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the element wise stride for the
shape info buffer
- setElementWiseStride(DataBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the element wise stride for the
shape info buffer
- setElemType(OnnxMlProto3.TypeProto) - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
The type and optional shape of each element of the sequence.
- setElemType(OnnxMlProto3.TypeProto.Builder) - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
The type and optional shape of each element of the sequence.
- setElemType(OnnxMlProto3.TensorProto.DataType) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- setElemType(OnnxProto3.TensorProto.DataType) - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- setElemTypeValue(int) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- setElemTypeValue(int) - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- setEnable(boolean) - Method in class org.tensorflow.framework.AutoParallelOptions.Builder
-
bool enable = 1;
- setEnableBfloat16Sendrecv(boolean) - Method in class org.tensorflow.framework.GraphOptions.Builder
-
If true, transfer float values between processes as bfloat16.
- setEnableOp(int, String) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder
-
If present, only perform optimization for these ops.
- setEnableRecvScheduling(boolean) - Method in class org.tensorflow.framework.GraphOptions.Builder
-
If true, use control flow to schedule the activation of Recv nodes.
- setEnableRpcLogging(boolean) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
-
If true, RPC logging will be enabled.
- setEncodedAudioString(ByteString) - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
Encoded audio data and its associated RFC 2045 content type (e.g.
- setEncodedImageString(ByteString) - Method in class org.tensorflow.framework.Summary.Image.Builder
-
Image data in encoded format.
- setEnd(long) - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
int64 end = 2;
- setEnd(long) - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
int64 end = 2;
- setEndianness(BundleHeaderProto.Endianness) - Method in class org.tensorflow.util.BundleHeaderProto.Builder
-
.tensorflow.BundleHeaderProto.Endianness endianness = 2;
- setEndiannessValue(int) - Method in class org.tensorflow.util.BundleHeaderProto.Builder
-
.tensorflow.BundleHeaderProto.Endianness endianness = 2;
- setEndpoint(int, ApiDef.Endpoint) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- setEndpoint(int, ApiDef.Endpoint.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- setEnqueueOpName(int, String) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
A list of enqueue operations.
- setExampleMetaData(List<? extends Serializable>) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Set the metadata for this DataSet
By convention: the metadata can be any serializable object, one per example in the DataSet
- setExampleMetaData(List<? extends Serializable>) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Set the metadata for this MultiDataSet
By convention: the metadata can be any serializable object, one per example in the MultiDataSet
- setExampleMetaData(List<? extends Serializable>) - Method in class org.nd4j.linalg.dataset.DataSet
-
- setExampleMetaData(List<? extends Serializable>) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- setExclusiveResourceAccess(boolean) - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder
-
Whether this operation requires exclusive access to its resources,
(i.e., no other CriticalSections may request the same resources).
- setExecOpts(ExecutorOpts) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
Options for this step.
- setExecOpts(ExecutorOpts.Builder) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
Options for this step.
- setExecuteInCriticalSectionName(String) - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder
-
Name of the critical section handle.
- setExecuteInCriticalSectionNameBytes(ByteString) - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder
-
Name of the critical section handle.
- setExecutorName(String) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Executor's name
- setExecutorNameBytes(ByteString) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Executor's name
- setExperimental(ConfigProto.Experimental) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
.tensorflow.ConfigProto.Experimental experimental = 16;
- setExperimental(ConfigProto.Experimental.Builder) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
.tensorflow.ConfigProto.Experimental experimental = 16;
- setExperimental(GPUOptions.Experimental) - Method in class org.tensorflow.framework.GPUOptions.Builder
-
Everything inside experimental is subject to change and is not subject
to API stability guarantees in
https://www.tensorflow.org/guide/version_compat.
- setExperimental(GPUOptions.Experimental.Builder) - Method in class org.tensorflow.framework.GPUOptions.Builder
-
Everything inside experimental is subject to change and is not subject
to API stability guarantees in
https://www.tensorflow.org/guide/version_compat.
- setExperimental(RunOptions.Experimental) - Method in class org.tensorflow.framework.RunOptions.Builder
-
.tensorflow.RunOptions.Experimental experimental = 8;
- setExperimental(RunOptions.Experimental.Builder) - Method in class org.tensorflow.framework.RunOptions.Builder
-
.tensorflow.RunOptions.Experimental experimental = 8;
- setExplanation(String) - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
Explanation of why it was deprecated and what to use instead.
- setExplanationBytes(ByteString) - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
Explanation of why it was deprecated and what to use instead.
- setExtent(int, TensorSliceProto.Extent) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- setExtent(int, TensorSliceProto.Extent.Builder) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- setExtraArgs(Object[]) - Method in interface org.nd4j.linalg.api.ops.Op
-
- setF(float) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
Exactly ONE of the following fields must be present for this version of the IR
- setF(float) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
Exactly ONE of the following fields must be present for this version of the IR
- setF(float) - Method in class org.tensorflow.framework.AttrValue.Builder
-
"float"
- setF(int, float) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(float)"
- setFactory(NDArrayFactory) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- setFeatures(INDArray) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Set the features array for the DataSet
- setFeatures(INDArray[]) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Set all of the features arrays for the MultiDataSet
- setFeatures(int, INDArray) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Set a single features array (by index) for the MultiDataSet
- setFeatures(INDArray) - Method in class org.nd4j.linalg.dataset.DataSet
-
- setFeatures(INDArray[]) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- setFeatures(int, INDArray) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- setFeaturesMaskArray(INDArray) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Set the features mask array in this DataSet
- setFeaturesMaskArray(int, INDArray) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Set a single feature mask array by index
- setFeaturesMaskArray(INDArray) - Method in class org.nd4j.linalg.dataset.DataSet
-
- setFeaturesMaskArray(int, INDArray) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- setFeaturesMaskArrays(INDArray[]) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Set the feature mask arrays
- setFeaturesMaskArrays(INDArray[]) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- setFeatureStats(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- setFeed(int, String) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Tensors to be fed in future steps.
- setFeed(int, TensorProto) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- setFeed(int, TensorProto.Builder) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- setFeed(int, NamedTensorProto) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Tensors to be fed in the step.
- setFeed(int, NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Tensors to be fed in the step.
- setFeed(int, String) - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Tensors to be fed in the callable.
- setFetch(int, String) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Fetches.
- setFetch(int, TensorProto) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- setFetch(int, TensorProto.Builder) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- setFetch(int, String) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Fetches.
- setFetch(int, String) - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Fetches.
- setFetchStepId(int, long) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
-
When set, requests all saved log data pertaining to the step.
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TypeProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ClusterDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.JobDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ResetRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ResetResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.StepSequence.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.TraceOpts.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.TracingRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.TracingResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDefs.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AssetFileDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AttrValue.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AutoParallelOptions.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CallableOptions.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CondContextDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CriticalSectionDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DebugOptions.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GPUOptions.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GradientDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphOptions.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.InterconnectLink.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.KernelDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.LocalLinks.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NameAttrList.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NamedTensorProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NodeDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NodeOutput.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpList.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RPCOptions.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RunMetadata.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RunOptions.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SavedModel.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SignatureDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.StepStats.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.Summary.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.Summary.Image.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorConnection.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorDescription.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorInfo.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ValuesDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.VariableDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.VersionDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.util.BundleHeaderProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.util.SaverDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder
-
- setFilename(String) - Method in class org.tensorflow.framework.AssetFileDef.Builder
-
The filename within an assets directory.
- setFilenameBytes(ByteString) - Method in class org.tensorflow.framework.AssetFileDef.Builder
-
The filename within an assets directory.
- setFilenameTensorName(String) - Method in class org.tensorflow.util.SaverDef.Builder
-
The name of the tensor in which to specify the filename when saving or
restoring a model checkpoint.
- setFilenameTensorNameBytes(ByteString) - Method in class org.tensorflow.util.SaverDef.Builder
-
The name of the tensor in which to specify the filename when saving or
restoring a model checkpoint.
- setFilePath(String) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
Path to the source code file.
- setFilePathBytes(ByteString) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
Path to the source code file.
- setFinalResult(Number) - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
- setFinalResult(Number) - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- setFirstPointers(GridPointers) - Method in class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
-
- setFirstPointers(GridPointers) - Method in interface org.nd4j.linalg.api.ops.MetaOp
-
- setFloatData(int, float) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- setFloatData(int, float) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- setFloatList(CollectionDef.FloatList) - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.FloatList float_list = 4;
- setFloatList(CollectionDef.FloatList.Builder) - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.FloatList float_list = 4;
- setFloats(int, float) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of floats
- setFloats(int, float) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of floats
- setFloatVal(int, float) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_FLOAT.
- setForceGpuCompatible(boolean) - Method in class org.tensorflow.framework.GPUOptions.Builder
-
Force all tensors to be gpu_compatible.
- setForwardVariableForVarName(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- setFrameName(String) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp
-
- setFrequency(long) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Core Frequency in Mhz
- setFromTensor(String) - Method in class org.tensorflow.framework.TensorConnection.Builder
-
A tensor name.
- setFromTensorBytes(ByteString) - Method in class org.tensorflow.framework.TensorConnection.Builder
-
A tensor name.
- setFullName(String) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Name of the full variable of which this is a slice.
- setFullName(String) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
The full name of the variable/tensor, if applicable.
- setFullNameBytes(ByteString) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Name of the full variable of which this is a slice.
- setFullNameBytes(ByteString) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
The full name of the variable/tensor, if applicable.
- setFullShape(int, long) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of the full variable.
- setFunc(NameAttrList) - Method in class org.tensorflow.framework.AttrValue.Builder
-
"func" represents a function.
- setFunc(NameAttrList.Builder) - Method in class org.tensorflow.framework.AttrValue.Builder
-
"func" represents a function.
- setFunc(int, NameAttrList) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
- setFunc(int, NameAttrList.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
- setFunction(int, FunctionDef) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- setFunction(int, FunctionDef.Builder) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- setFunctionDef(FunctionDef) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
-
.tensorflow.FunctionDef function_def = 2;
- setFunctionDef(FunctionDef.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
-
.tensorflow.FunctionDef function_def = 2;
- setFunctionName(String) - Method in class org.tensorflow.framework.GradientDef.Builder
-
The function name.
- setFunctionNameBytes(ByteString) - Method in class org.tensorflow.framework.GradientDef.Builder
-
The function name.
- setFunctionOptimization(RewriterConfig.Toggle) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Function optimizations (default is ON).
- setFunctionOptimizationValue(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Function optimizations (default is ON).
- setG(OnnxMlProto3.GraphProto) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
graph
- setG(OnnxMlProto3.GraphProto.Builder) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
graph
- setG(OnnxProto3.GraphProto) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
graph
- setG(OnnxProto3.GraphProto.Builder) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
graph
- setGlobalJitLevel(OptimizerOptions.GlobalJitLevel) - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
- setGlobalJitLevelValue(int) - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
- setGlobalName(String) - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder
-
The global name of the threadpool.
- setGlobalNameBytes(ByteString) - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder
-
The global name of the threadpool.
- setGlobalStep(long) - Method in class org.tensorflow.framework.DebugOptions.Builder
-
Caller-specified global step count.
- setGpuOptions(GPUOptions) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Options that apply to all GPUs.
- setGpuOptions(GPUOptions.Builder) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Options that apply to all GPUs.
- setGradient(int, GradientDef) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- setGradient(int, GradientDef.Builder) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- setGradientForVariableName(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Assign a SDVariable to represent the gradient of the SDVariable with the specified name
- setGradientFunc(String) - Method in class org.tensorflow.framework.GradientDef.Builder
-
The gradient function's name.
- setGradientFuncBytes(ByteString) - Method in class org.tensorflow.framework.GradientDef.Builder
-
The gradient function's name.
- setGradientViewArray(INDArray) - Method in class org.nd4j.linalg.activations.BaseActivationFunction
-
- setGradientViewArray(INDArray) - Method in interface org.nd4j.linalg.activations.IActivation
-
- setGraph(OnnxMlProto3.GraphProto) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The parameterized graph that is evaluated to execute the model.
- setGraph(OnnxMlProto3.GraphProto.Builder) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The parameterized graph that is evaluated to execute the model.
- setGraph(OnnxProto3.GraphProto) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The parameterized graph that is evaluated to execute the model.
- setGraph(OnnxProto3.GraphProto.Builder) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The parameterized graph that is evaluated to execute the model.
- setGraphDef(GraphDef) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
-
The initial graph definition.
- setGraphDef(GraphDef.Builder) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
-
The initial graph definition.
- setGraphDef(GraphDef) - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
REQUIRED: The nodes to be added to the session's graph.
- setGraphDef(GraphDef.Builder) - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
REQUIRED: The nodes to be added to the session's graph.
- setGraphDef(GraphDef) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
"graph_def" has the subgraph of nodes for this worker, with each node
having its device_name filled in.
- setGraphDef(GraphDef.Builder) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
"graph_def" has the subgraph of nodes for this worker, with each node
having its device_name filled in.
- setGraphDef(GraphDef) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
GraphDef.
- setGraphDef(GraphDef.Builder) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
GraphDef.
- setGraphHandle(String) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- setGraphHandle(String) - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder
-
If the registration succeeds, returns an opaque graph_handle to
the master.
- setGraphHandle(String) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- setGraphHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- setGraphHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder
-
If the registration succeeds, returns an opaque graph_handle to
the master.
- setGraphHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- setGraphInputNodeInfo(int, GraphTransferGraphInputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
- setGraphInputNodeInfo(int, GraphTransferGraphInputNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
- setGraphInputNodeName(int, String) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph input node name
- setGraphKey(int, long) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder
-
repeated int64 graph_key = 1;
- setGraphKey(long) - Method in class org.tensorflow.distruntime.StepSequence.Builder
-
int64 graph_key = 1;
- setGraphOpName(String) - Method in class org.tensorflow.framework.ApiDef.Builder
-
Name of the op (in the OpDef) to specify the API for.
- setGraphOpNameBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Builder
-
Name of the op (in the OpDef) to specify the API for.
- setGraphOptions(GraphOptions) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Configuration options for the session in which this graph was created.
- setGraphOptions(GraphOptions.Builder) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Configuration options for the session in which this graph was created.
- setGraphOptions(GraphOptions) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Options that apply to all graphs.
- setGraphOptions(GraphOptions.Builder) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Options that apply to all graphs.
- setGraphOutputNodeInfo(int, GraphTransferGraphOutputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- setGraphOutputNodeInfo(int, GraphTransferGraphOutputNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- setGraphOutputNodeName(int, String) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph output node name
- setGraphs(int, OnnxMlProto3.GraphProto) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of graph
- setGraphs(int, OnnxMlProto3.GraphProto.Builder) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of graph
- setGraphs(int, OnnxProto3.GraphProto) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of graph
- setGraphs(int, OnnxProto3.GraphProto.Builder) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of graph
- setGraphVersion(long) - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder
-
The initial version number for the graph, to be used in the next call
to ExtendSession.
- setGroupKey(int) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
int32 group_key = 1;
- setGroupKey(int) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
int32 group_key = 1;
- setGroupKey(int) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
int32 group_key = 5;
- setGroupSize(int) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
int32 group_size = 2;
- setGroupSize(int) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
int32 group_size = 2;
- setGroupSize(int) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
int32 group_size = 6;
- setHalfVal(int, int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_HALF, DT_BFLOAT16.
- setHandle(long) - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder
-
A handle to the created callable.
- setHandle(long) - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder
-
REQUIRED: handle must be returned by a MakeCallable call to the same
master service.
- setHandle(long) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
-
REQUIRED: handle must be returned by a MakeCallable call to the same
master service.
- setHandle(String) - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
Handle describing the feeds and fetches of the step.
- setHandleBytes(ByteString) - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
Handle describing the feeds and fetches of the step.
- setHandleToDecref(EagerServiceOuterClass.RemoteTensorHandle) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
- setHandleToDecref(EagerServiceOuterClass.RemoteTensorHandle.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
- setHasControlFlow(boolean) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Deprecated.
- setHashCode(long) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Hash code for the type of the resource.
- setHasMinimum(boolean) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
For type == "int", this is a minimum value.
- setHasSingleReference(boolean) - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Set if this tensor only has one remaining reference
- setHeight(int) - Method in class org.tensorflow.framework.Summary.Image.Builder
-
Dimensions of the image.
- setHisto(HistogramProto) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.HistogramProto histo = 5;
- setHisto(HistogramProto.Builder) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.HistogramProto histo = 5;
- setHost(String) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
The host name on which a source code file is located.
- setHostBytes(ByteString) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
The host name on which a source code file is located.
- setHostMemoryArg(int, String) - Method in class org.tensorflow.framework.KernelDef.Builder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- setHostTempMemorySize(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Deprecated.
- setI(long) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
int
- setI(long) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
int
- setI(long) - Method in class org.tensorflow.framework.AttrValue.Builder
-
"int"
- setI(int, long) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(int)"
- setIArguments(long...) - Method in class org.nd4j.linalg.api.ops.BaseOpContext
-
- setIArguments(long...) - Method in interface org.nd4j.linalg.api.ops.OpContext
-
This method sets integer arguments required for operation
- setId(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
The id of the node.
- setId(long) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
A unique identifier for the operation.
- setIfFirst(Throwable) - Method in class org.nd4j.linalg.util.AtomicThrowable
-
This method updates state only if it wasn't set before
- setImage(Summary.Image) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Image image = 4;
- setImage(Summary.Image.Builder) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Image image = 4;
- setInArg(int, ApiDef.Arg) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- setInArg(int, ApiDef.Arg.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- setIncarnation(long) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
A device is assigned a global unique number each time it is
initialized.
- setIndex(int) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Index of the output being set.
- setIndexer(Indexer) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer
-
- setIndicesTensorName(String) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
The indices Tensor must have dtype int64 and shape [?, ?].
- setIndicesTensorNameBytes(ByteString) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
The indices Tensor must have dtype int64 and shape [?, ?].
- setInferShapes(boolean) - Method in class org.tensorflow.framework.GraphOptions.Builder
-
Annotate each Node with Op output shape data, to the extent it can
be statically inferred.
- setInitializer(int, OnnxMlProto3.TensorProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- setInitializer(int, OnnxMlProto3.TensorProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- setInitializer(int, OnnxProto3.TensorProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- setInitializer(int, OnnxProto3.TensorProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- setInitializerName(String) - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the initializer op.
- setInitializerNameBytes(ByteString) - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the initializer op.
- setInitialValueName(String) - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the tensor holding the variable's initial value.
- setInitialValueNameBytes(ByteString) - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the tensor holding the variable's initial value.
- setInput(int, OnnxMlProto3.ValueInfoProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- setInput(int, OnnxMlProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- setInput(int, String) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- setInput(int, OnnxProto3.ValueInfoProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- setInput(int, OnnxProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- setInput(int, String) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- setInput(int, String) - Method in class org.tensorflow.framework.NodeDef.Builder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- setInputArg(int, OpDef.ArgDef) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- setInputArg(int, OpDef.ArgDef.Builder) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- setInputArgument(int, INDArray) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
-
- setInputArguments(INDArray...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
-
- setInputArray(int, INDArray) - Method in class org.nd4j.linalg.api.ops.BaseOpContext
-
- setInputArray(int, INDArray) - Method in interface org.nd4j.linalg.api.ops.OpContext
-
This method adds INDArray as input argument for future op call
- setInputArrays(List<INDArray>) - Method in class org.nd4j.linalg.api.ops.BaseOpContext
-
- setInputArrays(INDArray...) - Method in class org.nd4j.linalg.api.ops.BaseOpContext
-
- setInputArrays(List<INDArray>) - Method in interface org.nd4j.linalg.api.ops.OpContext
-
This method sets provided arrays as input arrays
- setInputArrays(INDArray...) - Method in interface org.nd4j.linalg.api.ops.OpContext
-
This method sets provided arrays as input arrays
- setInputCount(int) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
int32 input_count = 6;
- setInputInfo(int, CostGraphDef.Node.InputInfo) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- setInputInfo(int, CostGraphDef.Node.InputInfo.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- setInputs(int, EagerServiceOuterClass.RemoteTensorHandle) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- setInputs(int, EagerServiceOuterClass.RemoteTensorHandle.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- setInstanceId() - Method in class org.nd4j.autodiff.functions.DifferentialFunction
-
- setInstanceKey(int) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
int32 instance_key = 7;
- setInstanceKey(int) - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder
-
int32 instance_key = 1;
- setInt32Data(int, int) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- setInt32Data(int, int) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- setInt64Data(int, long) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For int64.
- setInt64Data(int, long) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For int64.
- setInt64List(CollectionDef.Int64List) - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.Int64List int64_list = 3;
- setInt64List(CollectionDef.Int64List.Builder) - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.Int64List int64_list = 3;
- setInt64Val(int, long) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_INT64
- setInterOpParallelismThreads(int) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Nodes that perform blocking operations are enqueued on a pool of
inter_op_parallelism_threads available in each process.
- setInterOpThreadPool(int) - Method in class org.tensorflow.framework.RunOptions.Builder
-
The thread pool to use, if session_inter_op_thread_pool is configured.
- setIntraOpParallelismThreads(int) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
The execution of an individual op (for some op types) can be
parallelized on a pool of intra_op_parallelism_threads.
- setInts(int, long) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of ints
- setInts(int, long) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of ints
- setIntVal(int, int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- setIrBuildMetadata(String) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The build metadata component of the SemVer of the IR.
- setIrBuildMetadataBytes(ByteString) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The build metadata component of the SemVer of the IR.
- setIrVersion(long) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The version of the IR this model targets.
- setIrVersion(int) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
All OperatorSetProtos indicate the version of the IR syntax and semantics
they adhere to.
- setIrVersion(long) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The version of the IR this model targets.
- setIrVersionPrerelease(String) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The prerelease component of the SemVer of the IR.
- setIrVersionPrereleaseBytes(ByteString) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The prerelease component of the SemVer of the IR.
- setIsAggregate(boolean) - Method in class org.tensorflow.framework.OpDef.Builder
-
If is_aggregate is true, then this operation accepts N >= 2
inputs and produces 1 output all of the same type.
- setIsCommutative(boolean) - Method in class org.tensorflow.framework.OpDef.Builder
-
True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
- setIsDead(boolean) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
-
True if value is 'dead' like a tensor.
- setIsDead(boolean) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
-
If true, this tensor was the output of a dead node, and the
content is invalid.
- setIsFinal(boolean) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
If true, the output is permanent: it can't be discarded, because this
node is part of the "final output".
- setIsLastPartialRun(boolean) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
True if this is the last partial run request in a sequence of requests.
- setIsolateSessionState(boolean) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
If true, any resources such as Variables used in the session will not be
shared with other sessions.
- setIsolateSessionState(boolean) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
If true, any resources such as Variables used in the session will not be
shared with other sessions.
- setIsPartial(boolean) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
True if the RunGraphRequest is a partial run request.
- setIsRef(boolean) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
For inputs: if true, the inputs are required to be refs.
- setIsResource(boolean) - Method in class org.tensorflow.framework.VariableDef.Builder
-
Whether to represent this as a ResourceVariable.
- setIsSource(boolean) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
bool is_source = 11;
- setIsStateful(boolean) - Method in class org.tensorflow.framework.OpDef.Builder
-
Ops are marked as stateful if their behavior depends on some state beyond
their input tensors (e.g.
- setJob(int, JobDef) - Method in class org.tensorflow.distruntime.ClusterDef.Builder
-
The jobs that comprise the cluster.
- setJob(int, JobDef.Builder) - Method in class org.tensorflow.distruntime.ClusterDef.Builder
-
The jobs that comprise the cluster.
- setJobName(String) - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
The name of the job of which this server is a member.
- setJobNameBytes(ByteString) - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
The name of the job of which this server is a member.
- setKeepAliveSecs(long) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
Number of seconds to keep the context alive.
- setKeepCheckpointEveryNHours(float) - Method in class org.tensorflow.util.SaverDef.Builder
-
How often to keep an additional checkpoint.
- setKernelName(String) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Name of the kernel making the allocation as set in GraphDef,
e.g., "affine2/weights/Assign".
- setKernelName(String) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Name of the kernel producing an output as set in GraphDef, e.g.,
"affine2/weights/Assign".
- setKernelNameBytes(ByteString) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Name of the kernel making the allocation as set in GraphDef,
e.g., "affine2/weights/Assign".
- setKernelNameBytes(ByteString) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Name of the kernel producing an output as set in GraphDef, e.g.,
"affine2/weights/Assign".
- setKey(String) - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
string key = 1;
- setKey(String) - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
string key = 1;
- setKeyBytes(ByteString) - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
string key = 1;
- setKeyBytes(ByteString) - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
string key = 1;
- setKeys(int, String) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
Keys for tensors in the VariantTensorDataProto.
- setKeyType(OnnxMlProto3.TensorProto.DataType) - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
This field MUST be present for this version of the IR.
- setKeyTypeValue(int) - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
This field MUST be present for this version of the IR.
- setL1CacheSize(long) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
L1 cache size in bytes
- setL2CacheSize(long) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
L2 cache size in bytes
- setL3CacheSize(long) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
L3 cache size in bytes
- setLabel(String) - Method in class org.tensorflow.framework.KernelDef.Builder
-
This allows experimental kernels to be registered for an op that
won't be used unless the user specifies a "_kernel" attr with
value matching this.
- setLabelBytes(ByteString) - Method in class org.tensorflow.framework.KernelDef.Builder
-
This allows experimental kernels to be registered for an op that
won't be used unless the user specifies a "_kernel" attr with
value matching this.
- setLabelNames(List<String>) - Method in class org.nd4j.evaluation.classification.EvaluationBinary
-
- setLabelNames(List<String>) - Method in class org.nd4j.evaluation.classification.ROCBinary
-
- setLabelNames(List<String>) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- setLabelNames(List<String>) - Method in class org.nd4j.linalg.dataset.DataSet
-
Sets the label names, will throw an exception if the passed
in label names doesn't equal the number of outcomes
- setLabels(INDArray) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- setLabels(INDArray[]) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Set all of the labels arrays for the MultiDataSet
- setLabels(int, INDArray) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Set a single labels array (by index) for the MultiDataSet
- setLabels(INDArray) - Method in class org.nd4j.linalg.dataset.DataSet
-
- setLabels(INDArray[]) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- setLabels(int, INDArray) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- setLabelsMaskArray(INDArray) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Set the labels mask array in this data set
- setLabelsMaskArray(INDArray[]) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Set the labels mask arrays
- setLabelsMaskArray(int, INDArray) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Set a single labels mask array by index
- setLabelsMaskArray(INDArray) - Method in class org.nd4j.linalg.dataset.DataSet
-
- setLabelsMaskArray(INDArray[]) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- setLabelsMaskArray(int, INDArray) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- setLabelStats(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- setLabelStats(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
-
- setLastModified(long) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
The timestamp at which the source code file is last modified.
- setLayoutOptimizer(RewriterConfig.Toggle) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Optimize tensor layouts (default is ON)
e.g.
- setLayoutOptimizerValue(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Optimize tensor layouts (default is ON)
e.g.
- setLegacyJsonMapper(ObjectMapper) - Static method in class org.nd4j.serde.json.LegacyIActivationDeserializer
-
- setLegacyJsonMapper(ObjectMapper) - Static method in class org.nd4j.serde.json.LegacyILossFunctionDeserializer
-
- setLength(long) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
int64 length = 2;
- setLengthFrames(long) - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
Length of the audio in frames (samples per channel).
- setLibrary(FunctionDefLibrary) - Method in class org.tensorflow.framework.GraphDef.Builder
-
EXPERIMENTAL.
- setLibrary(FunctionDefLibrary.Builder) - Method in class org.tensorflow.framework.GraphDef.Builder
-
EXPERIMENTAL.
- setLines(int, String) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
Line-by-line content of the source code file.
- setLink(int, InterconnectLink) - Method in class org.tensorflow.framework.LocalLinks.Builder
-
repeated .tensorflow.InterconnectLink link = 1;
- setLink(int, InterconnectLink.Builder) - Method in class org.tensorflow.framework.LocalLinks.Builder
-
repeated .tensorflow.InterconnectLink link = 1;
- setLinks(LocalLinks) - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
Optional local interconnect links to other devices.
- setLinks(LocalLinks.Builder) - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
Optional local interconnect links to other devices.
- setList(AttrValue.ListValue) - Method in class org.tensorflow.framework.AttrValue.Builder
-
any "list(...)"
- setList(AttrValue.ListValue.Builder) - Method in class org.tensorflow.framework.AttrValue.Builder
-
any "list(...)"
- setLiveBytes(long) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The bytes that are not deallocated.
- setLocalDevice(int, DeviceAttributes) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- setLocalDevice(int, DeviceAttributes.Builder) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- setLocality(DeviceLocality) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
Platform-specific data about device that may be useful
for supporting efficient data transfers.
- setLocality(DeviceLocality.Builder) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
Platform-specific data about device that may be useful
for supporting efficient data transfers.
- setLocalName(String) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
-
A user-provided name for the edge.
- setLocalNameBytes(ByteString) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
-
A user-provided name for the edge.
- setLogDevicePlacement(boolean) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Whether device placements should be logged.
- setLoopEnterNames(int, String) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
List of names for enter tensors.
- setLoopExitNames(int, String) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
List of names for exit tensors.
- setLoopOptimization(RewriterConfig.Toggle) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Loop optimizations (default is ON).
- setLoopOptimizationValue(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Loop optimizations (default is ON).
- setLossVariables(String...) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.AdaDelta
-
- setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.AdaGrad
-
- setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.Adam
-
- setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.AdaMax
-
- setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.AMSGrad
-
- setLrAndSchedule(double, ISchedule) - Method in interface org.nd4j.linalg.learning.config.IUpdater
-
Set the learning rate and schedule.
- setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.Nadam
-
- setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.Nesterovs
-
- setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.NoOp
-
- setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.RmsProp
-
- setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.Sgd
-
- setMagic(String) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
All OperatorSetProtos start with a distingushed byte sequence to disambiguate
protobuf files containing OperatorSets from other content.
- setMagicBytes(ByteString) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
All OperatorSetProtos start with a distingushed byte sequence to disambiguate
protobuf files containing OperatorSets from other content.
- setMapType(OnnxMlProto3.TypeProto.Map) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a map.
- setMapType(OnnxMlProto3.TypeProto.Map.Builder) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a map.
- setMaskedValuesToZero(INDArray, INDArray) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
-
- setMax(double) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double max = 2;
- setMaxByteSize(int, int) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
-
repeated int32 max_byte_size = 2;
- setMaxFoldedConstantInBytes(long) - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
Constant folding optimization replaces tensors whose values can be
predetermined, with constant nodes.
- setMaximumIterationsName(String) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Optional name of the maximum_iterations tensor.
- setMaximumIterationsNameBytes(ByteString) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Optional name of the maximum_iterations tensor.
- setMaxThreads(int) - Method in interface org.nd4j.linalg.api.blas.Blas
-
- setMaxToKeep(int) - Method in class org.tensorflow.util.SaverDef.Builder
-
Maximum number of checkpoints to keep.
- setMaybeTypeName(String) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
For debug-only, the name of the type pointed to by this handle, if
available.
- setMaybeTypeNameBytes(ByteString) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
For debug-only, the name of the type pointed to by this handle, if
available.
- setMemory(int, AllocatorMemoryUsed) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- setMemory(int, AllocatorMemoryUsed.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- setMemoryLimit(long) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
Memory capacity of device in bytes.
- setMemoryLimitMb(int, float) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
-
Per "virtual" device memory limit, in MB.
- setMemoryOptimization(RewriterConfig.MemOptType) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Configures memory optimization passes through the meta-optimizer.
- setMemoryOptimizationValue(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Configures memory optimization passes through the meta-optimizer.
- setMemoryOptimizerTargetNodeNameScope(String) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
A node name scope for node names which are valid outputs of recompuations.
- setMemoryOptimizerTargetNodeNameScopeBytes(ByteString) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
A node name scope for node names which are valid outputs of recompuations.
- setMemorySize(long) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Memory size in bytes
- setMemoryStats(MemoryStats) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
.tensorflow.MemoryStats memory_stats = 12;
- setMemoryStats(MemoryStats.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
.tensorflow.MemoryStats memory_stats = 12;
- setMemoryTime(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Analytical estimate of the memory access cost of this node, in
microseconds.
- setMetadata(RunMetadata) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
-
Returned metadata if requested in the options.
- setMetadata(RunMetadata.Builder) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
-
Returned metadata if requested in the options.
- setMetadata(RunMetadata) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
Returned metadata if requested in the options.
- setMetadata(RunMetadata.Builder) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
Returned metadata if requested in the options.
- setMetadata(SummaryMetadata) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
Contains metadata on the summary value such as which plugins may use it.
- setMetadata(SummaryMetadata.Builder) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
Contains metadata on the summary value such as which plugins may use it.
- setMetadata(ByteString) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Portions of the object that are not Tensors.
- setMetadataProps(int, OnnxMlProto3.StringStringEntryProto) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- setMetadataProps(int, OnnxMlProto3.StringStringEntryProto.Builder) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- setMetadataProps(int, OnnxProto3.StringStringEntryProto) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- setMetadataProps(int, OnnxProto3.StringStringEntryProto.Builder) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- setMetaGraphs(int, MetaGraphDef) - Method in class org.tensorflow.framework.SavedModel.Builder
-
One or more MetaGraphs.
- setMetaGraphs(int, MetaGraphDef.Builder) - Method in class org.tensorflow.framework.SavedModel.Builder
-
One or more MetaGraphs.
- setMetaGraphVersion(String) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
User specified Version string.
- setMetaGraphVersionBytes(ByteString) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
User specified Version string.
- setMetaInfoDef(MetaGraphDef.MetaInfoDef) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
- setMetaInfoDef(MetaGraphDef.MetaInfoDef.Builder) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
- setMetaOptimizerIterations(RewriterConfig.NumIterationsType) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Controls how many times we run the optimizers in meta optimizer (default
is once).
- setMetaOptimizerIterationsValue(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Controls how many times we run the optimizers in meta optimizer (default
is once).
- setMethodName(String) - Method in class org.tensorflow.framework.SignatureDef.Builder
-
Extensible method_name information enabling third-party users to mark a
SignatureDef as supporting a particular method.
- setMethodNameBytes(ByteString) - Method in class org.tensorflow.framework.SignatureDef.Builder
-
Extensible method_name information enabling third-party users to mark a
SignatureDef as supporting a particular method.
- setMin(double) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double min = 1;
- setMinConsumer(int) - Method in class org.tensorflow.framework.VersionDef.Builder
-
Any consumer below this version is not allowed to consume this data.
- setMinimum(long) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
int64 minimum = 6;
- setModel(String) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Model (Haswell, K40, ...)
- setModelBytes(ByteString) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Model (Haswell, K40, ...)
- setModelVersion(long) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The version of the graph encoded.
- setModelVersion(long) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The version of the graph encoded.
- setName(String) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
The name field MUST be present for this version of the IR.
- setName(String) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The name of the graph.
- setName(String) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
An optional identifier for this node in a graph.
- setName(String) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
Optionally, a name for the tensor.
- setName(String) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- setName(String) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
The name field MUST be present for this version of the IR.
- setName(String) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The name of the graph.
- setName(String) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
An optional identifier for this node in a graph.
- setName(String) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
Optionally, a name for the tensor.
- setName(String) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- setName(String) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
string name = 1;
- setName(String) - Method in class org.tensorflow.distruntime.JobDef.Builder
-
The name of this job.
- setName(String) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
string name = 1;
- setName(String) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
string name = 1;
- setName(String) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
Name should be either like "CamelCaseName" or
"Package.CamelCaseName".
- setName(String) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
The name of the node.
- setName(String) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
Fully specified name of the device within a cluster.
- setName(String) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
string name = 1;
- setName(String) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
string name = 1;
- setName(String) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
string name = 1;
- setName(String) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
string name = 1;
- setName(String) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
Name of an attr from the Op.
- setName(String) - Method in class org.tensorflow.framework.NameAttrList.Builder
-
string name = 1;
- setName(String) - Method in class org.tensorflow.framework.NamedTensorProto.Builder
-
Name of the tensor.
- setName(String) - Method in class org.tensorflow.framework.NodeDef.Builder
-
The name given to this operator.
- setName(String) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Name for the input/output.
- setName(String) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
A descriptive name for the argument.
- setName(String) - Method in class org.tensorflow.framework.OpDef.Builder
-
Op names starting with an underscore are reserved for internal use.
- setName(String) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Unique name of this resource.
- setName(String) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
string name = 1;
- setName(String) - Method in class org.tensorflow.framework.TensorInfo.Builder
-
For dense `Tensor`s, the name of the tensor in the graph.
- setName(String) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
Optional name of the tensor dimension.
- setName(String) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
A name for the Tensor.
- setName(String) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder
-
string name = 1;
- setName(String) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
string name = 2;
- setNameBytes(ByteString) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
The name field MUST be present for this version of the IR.
- setNameBytes(ByteString) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The name of the graph.
- setNameBytes(ByteString) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
An optional identifier for this node in a graph.
- setNameBytes(ByteString) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
Optionally, a name for the tensor.
- setNameBytes(ByteString) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- setNameBytes(ByteString) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
The name field MUST be present for this version of the IR.
- setNameBytes(ByteString) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The name of the graph.
- setNameBytes(ByteString) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
An optional identifier for this node in a graph.
- setNameBytes(ByteString) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
Optionally, a name for the tensor.
- setNameBytes(ByteString) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- setNameBytes(ByteString) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
string name = 1;
- setNameBytes(ByteString) - Method in class org.tensorflow.distruntime.JobDef.Builder
-
The name of this job.
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
string name = 1;
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
string name = 1;
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
Name should be either like "CamelCaseName" or
"Package.CamelCaseName".
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
The name of the node.
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
Fully specified name of the device within a cluster.
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
string name = 1;
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
string name = 1;
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
string name = 1;
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
string name = 1;
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
Name of an attr from the Op.
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.NameAttrList.Builder
-
string name = 1;
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.NamedTensorProto.Builder
-
Name of the tensor.
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.NodeDef.Builder
-
The name given to this operator.
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Name for the input/output.
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
A descriptive name for the argument.
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.Builder
-
Op names starting with an underscore are reserved for internal use.
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Unique name of this resource.
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
string name = 1;
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.TensorInfo.Builder
-
For dense `Tensor`s, the name of the tensor in the graph.
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
Optional name of the tensor dimension.
- setNameBytes(ByteString) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
A name for the Tensor.
- setNameBytes(ByteString) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder
-
string name = 1;
- setNameBytes(ByteString) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
string name = 2;
- setNdArrayFactoryClazz(Class<? extends NDArrayFactory>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- setNestedContexts(int, ControlFlowContextDef) - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Contexts contained inside this context (e.g.
- setNestedContexts(int, ControlFlowContextDef.Builder) - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Contexts contained inside this context (e.g.
- setNestedContexts(int, ControlFlowContextDef) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Contexts contained inside this context (e.g.
- setNestedContexts(int, ControlFlowContextDef.Builder) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Contexts contained inside this context (e.g.
- setNewGraphVersion(long) - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder
-
The new version number for the extended graph, to be used in the next call
to ExtendSession.
- setNewNumberOfLabels(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- setNewNumberOfLabels(int) - Method in class org.nd4j.linalg.dataset.DataSet
-
Clears the outcome matrix setting a new number of labels
- setNextStepId(long) - Method in class org.tensorflow.distruntime.StepSequence.Builder
-
int64 next_step_id = 2;
- setNode(int, OnnxMlProto3.NodeProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The nodes in the graph.
- setNode(int, OnnxMlProto3.NodeProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The nodes in the graph.
- setNode(int, OnnxProto3.NodeProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The nodes in the graph.
- setNode(int, OnnxProto3.NodeProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The nodes in the graph.
- setNode(int, CostGraphDef.Node) - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- setNode(int, CostGraphDef.Node.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- setNode(int, NodeDef) - Method in class org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- setNode(int, NodeDef.Builder) - Method in class org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- setNodeDef(int, NodeDef) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- setNodeDef(int, NodeDef.Builder) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- setNodeId(int) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
int32 node_id = 2;
- setNodeId(int) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
int32 node_id = 2;
- setNodeId(int) - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder
-
int32 node_id = 1;
- setNodeId(int) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
int32 node_id = 1;
- setNodeId(int) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
-
int32 node_id = 1;
- setNodeId(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
-
An index into `CheckpointableObjectGraph.nodes`, indicating the object
being referenced.
- setNodeInfo(int, GraphTransferNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- setNodeInfo(int, GraphTransferNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- setNodeInput(int, GraphTransferNodeInput) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- setNodeInput(int, GraphTransferNodeInput.Builder) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- setNodeInputInfo(int, GraphTransferNodeInputInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- setNodeInputInfo(int, GraphTransferNodeInputInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- setNodeList(CollectionDef.NodeList) - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.NodeList node_list = 1;
- setNodeList(CollectionDef.NodeList.Builder) - Method in class org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.NodeList node_list = 1;
- setNodeName(String) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
Name of the node to watch.
- setNodeName(String) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
TODO(tucker): Use some more compact form of node identity than
the full string name.
- setNodeName(String) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
This field is deprecated and will not be set.
- setNodeNameBytes(ByteString) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
Name of the node to watch.
- setNodeNameBytes(ByteString) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
TODO(tucker): Use some more compact form of node identity than
the full string name.
- setNodeNameBytes(ByteString) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
This field is deprecated and will not be set.
- setNodeOutputInfo(int, GraphTransferNodeOutputInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- setNodeOutputInfo(int, GraphTransferNodeOutputInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- setNodes(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- setNodes(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- setNodeStats(int, NodeExecStats) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- setNodeStats(int, NodeExecStats.Builder) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- setNum(double) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double num = 3;
- setNumaNode(int) - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
Optional NUMA locality of device.
- setNumberAttr(String) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
if specified, attr must have type "int"
- setNumberAttrBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
if specified, attr must have type "int"
- setNumBytes(long) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Size of value expected, must agree with BufRendezvous entry.
- setNumBytes(long) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
-
Byte length of buf_ptr field, if set.
- setNumBytes(long) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Number of bytes in the allocation.
- setNumChannels(long) - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
Number of channels of audio.
- setNumCores(long) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Number of cores
- setNumRecordsProduced(long) - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
int64 num_records_produced = 3;
- setNumRegisters(long) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Number of registers per core.
- setNumReplicas(int) - Method in class org.tensorflow.framework.AutoParallelOptions.Builder
-
int32 num_replicas = 2;
- setNumShards(int) - Method in class org.tensorflow.util.BundleHeaderProto.Builder
-
Number of data files in the bundle.
- setNumTasks(int) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
number of distinct tasks hosting the devices
- setNumThreads(int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method sets maximal allowed number of threads for Nd4j
- setNumThreads(int) - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder
-
The number of threads in the pool.
- setObsoleteOldStyleHistogram(ByteString) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
bytes obsolete_old_style_histogram = 3;
- setOccasionalGcFrequency(int) - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- setOccasionalGcFrequency(int) - Method in interface org.nd4j.linalg.memory.MemoryManager
-
Sets manual GC invocation frequency.
- setOffset(long) - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
int64 offset = 4;
- setOp(int, ApiDef) - Method in class org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- setOp(int, ApiDef.Builder) - Method in class org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- setOp(String) - Method in class org.tensorflow.framework.KernelDef.Builder
-
Must match the name of an Op.
- setOp(String) - Method in class org.tensorflow.framework.NodeDef.Builder
-
The operation name.
- setOp(int, OpDef) - Method in class org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- setOp(int, OpDef.Builder) - Method in class org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- setOpBytes(ByteString) - Method in class org.tensorflow.framework.KernelDef.Builder
-
Must match the name of an Op.
- setOpBytes(ByteString) - Method in class org.tensorflow.framework.NodeDef.Builder
-
The operation name.
- setOpEndRelMicros(long) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 op_end_rel_micros = 4;
- setOperation(String) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Name of the operation making the allocation.
- setOperation(String) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Name of the operation making the deallocation.
- setOperation(EagerServiceOuterClass.Operation) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
.tensorflow.eager.Operation operation = 2;
- setOperation(EagerServiceOuterClass.Operation.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
.tensorflow.eager.Operation operation = 2;
- setOperationBytes(ByteString) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Name of the operation making the allocation.
- setOperationBytes(ByteString) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Name of the operation making the deallocation.
- setOperationTimeoutInMs(long) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Global timeout for all blocking operations in this session.
- setOperator(int, OnnxOperatorsProto3.OperatorProto) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The operators specified by this operator set.
- setOperator(int, OnnxOperatorsProto3.OperatorProto.Builder) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The operators specified by this operator set.
- setOpId(long) - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
-
The ID of the operation that produced this tensor.
- setOpId(int, long) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
-
Ids to wait on.
- setOpsetImport(int, OnnxMlProto3.OperatorSetIdProto) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- setOpsetImport(int, OnnxMlProto3.OperatorSetIdProto.Builder) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- setOpsetImport(int, OnnxProto3.OperatorSetIdProto) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- setOpsetImport(int, OnnxProto3.OperatorSetIdProto.Builder) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- setOpsetVersion(long) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The version of the set of operators.
- setOpStartRelMicros(long) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 op_start_rel_micros = 3;
- setOptimizerOptions(OptimizerOptions) - Method in class org.tensorflow.framework.GraphOptions.Builder
-
Options controlling how graph is optimized.
- setOptimizerOptions(OptimizerOptions.Builder) - Method in class org.tensorflow.framework.GraphOptions.Builder
-
Options controlling how graph is optimized.
- setOptimizers(int, String) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
- setOptionBit(long[], ArrayType) - Static method in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper
-
- setOptionBit(long, DataType) - Static method in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper
-
- setOptionBit(long, ArrayType) - Static method in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper
-
- setOptions(CallableOptions) - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder
-
Options that define the behavior of the created callable.
- setOptions(CallableOptions.Builder) - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder
-
Options that define the behavior of the created callable.
- setOptions(RunOptions) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Options for the run call.
- setOptions(RunOptions.Builder) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Options for the run call.
- setOptions(TraceOpts) - Method in class org.tensorflow.distruntime.TracingRequest.Builder
-
.tensorflow.TraceOpts options = 1;
- setOptions(TraceOpts.Builder) - Method in class org.tensorflow.distruntime.TracingRequest.Builder
-
.tensorflow.TraceOpts options = 1;
- setOptLevel(OptimizerOptions.Level) - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
Overall optimization level.
- setOptLevelValue(int) - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
Overall optimization level.
- setOpType(String) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
The symbolic identifier of the Operator to execute.
- setOpType(String) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
The name of the operator within a domain.
- setOpType(String) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
The symbolic identifier of the Operator to execute.
- setOpTypeBytes(ByteString) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
The symbolic identifier of the Operator to execute.
- setOpTypeBytes(ByteString) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
The name of the operator within a domain.
- setOpTypeBytes(ByteString) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
The symbolic identifier of the Operator to execute.
- setOrder(char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- setOrder(char) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- setOrder(char) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Set the ordering
- setOrder(IntBuffer, char) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Deprecated.
- setOrder(char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Sets the order.
- setOrder(char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Sets the order.
- setOriginalPlaceHolderShape(String, long[]) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Set the original shape for a given place holder.
This is used to track original shapes of place holder variables.
The reason we track original shapes is to validate possible candidate arrays coming in (especially with -1
as the expected shapes).
- setOriginalVariableNodeId(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
-
An index into `CheckpointableObjectGraph.nodes`, indicating the
variable object this slot was created for.
- setOutArg(int, ApiDef.Arg) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- setOutArg(int, ApiDef.Arg.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- setOutcome(int, int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- setOutcome(int, int) - Method in class org.nd4j.linalg.dataset.DataSet
-
Sets the outcome of a particular example
- setOutput(int, OnnxMlProto3.ValueInfoProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- setOutput(int, OnnxMlProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- setOutput(int, String) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- setOutput(int, OnnxProto3.ValueInfoProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- setOutput(int, OnnxProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- setOutput(int, String) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- setOutput(int, NodeOutput) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- setOutput(int, NodeOutput.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- setOutputArg(int, OpDef.ArgDef) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- setOutputArg(int, OpDef.ArgDef.Builder) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- setOutputArgument(int, INDArray) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
-
- setOutputArray(int, INDArray) - Method in class org.nd4j.linalg.api.ops.BaseOpContext
-
- setOutputArray(int, INDArray) - Method in interface org.nd4j.linalg.api.ops.OpContext
-
This method adds INDArray as output for future op call
- setOutputArrays(List<INDArray>) - Method in class org.nd4j.linalg.api.ops.BaseOpContext
-
- setOutputArrays(INDArray...) - Method in class org.nd4j.linalg.api.ops.BaseOpContext
-
- setOutputArrays(List<INDArray>) - Method in interface org.nd4j.linalg.api.ops.OpContext
-
This method sets provided arrays as output arrays
- setOutputArrays(INDArray...) - Method in interface org.nd4j.linalg.api.ops.OpContext
-
This method sets provided arrays as output arrays
- setOutputCount(int) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
int32 output_count = 7;
- setOutputInfo(int, CostGraphDef.Node.OutputInfo) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- setOutputInfo(int, CostGraphDef.Node.OutputInfo.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- setOutputNum(int) - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
-
The index into the outputs of the operation that produced this tensor.
- setOutputPartitionGraphs(boolean) - Method in class org.tensorflow.framework.RunOptions.Builder
-
Whether the partition graph(s) executed by the executor(s) should be
outputted via RunMetadata.
- setOutputPort(int) - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder
-
int32 output_port = 2;
- setOutputSlot(int) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
Output slot to watch.
- setPaddingId(int) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
int32 padding_id = 5;
- setParallelIterations(int) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
The number of iterations allowed to run in parallel.
- setParametersViewArray(INDArray, boolean) - Method in class org.nd4j.linalg.activations.BaseActivationFunction
-
- setParametersViewArray(INDArray, boolean) - Method in interface org.nd4j.linalg.activations.IActivation
-
- setParams(INDArray, Collection<INDArray>...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Given a sequence of Iterators over a transform of matrices, fill in all of
the matrices with the entries in the theta vector.
- setParams(INDArray, Iterator<? extends INDArray>...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Given a sequence of Iterators over a transform of matrices, fill in all of
the matrices with the entries in the theta vector.
- setPartialRunHandle(String) - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder
-
The unique handle corresponding to the ongoing partial run call setup by
the invocation to PartialRunSetup.
- setPartialRunHandle(String) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Partial run handle (optional).
- setPartialRunHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder
-
The unique handle corresponding to the ongoing partial run call setup by
the invocation to PartialRunSetup.
- setPartialRunHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Partial run handle (optional).
- setPartitionGraph(int, GraphDef) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
repeated .tensorflow.GraphDef partition_graph = 4;
- setPartitionGraph(int, GraphDef.Builder) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
repeated .tensorflow.GraphDef partition_graph = 4;
- setPartitionGraphs(int, GraphDef) - Method in class org.tensorflow.framework.RunMetadata.Builder
-
Graphs of the partitions executed by executors.
- setPartitionGraphs(int, GraphDef.Builder) - Method in class org.tensorflow.framework.RunMetadata.Builder
-
Graphs of the partitions executed by executors.
- setPeakBytes(long) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
int64 peak_bytes = 3;
- setPerProcessGpuMemoryFraction(double) - Method in class org.tensorflow.framework.GPUOptions.Builder
-
Fraction of the available GPU memory to allocate for each process.
- setPersistentMemorySize(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Persistent memory used by this node.
- setPersistentMemorySize(long) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
int64 persistent_memory_size = 3;
- setPersistentTensorAllocIds(int, long) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
repeated int64 persistent_tensor_alloc_ids = 5;
- setPhysicalDeviceDesc(String) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
String representation of the physical device that this device maps to.
- setPhysicalDeviceDescBytes(ByteString) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
String representation of the physical device that this device maps to.
- setPivotForBodyName(String) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Name of the pivot_for_body tensor.
- setPivotForBodyNameBytes(ByteString) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Name of the pivot_for_body tensor.
- setPivotForPredName(String) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Name of the pivot_for_pred tensor.
- setPivotForPredNameBytes(ByteString) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Name of the pivot_for_pred tensor.
- setPivotName(String) - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Name of the pivot tensor.
- setPivotName(String) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Name of the pivot tensor.
- setPivotNameBytes(ByteString) - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Name of the pivot tensor.
- setPivotNameBytes(ByteString) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Name of the pivot tensor.
- setPlaceholder(String) - Method in class org.tensorflow.framework.AttrValue.Builder
-
This is a placeholder only used in nodes defined inside a
function.
- setPlaceholderBytes(ByteString) - Method in class org.tensorflow.framework.AttrValue.Builder
-
This is a placeholder only used in nodes defined inside a
function.
- setPlacementPeriod(int) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Assignment of Nodes to Devices is recomputed every placement_period
steps until the system warms up (at which point the recomputation
typically slows down automatically).
- setPlacePrunedGraph(boolean) - Method in class org.tensorflow.framework.GraphOptions.Builder
-
Only place the subgraphs that are run, rather than the entire graph.
- setPluginData(SummaryMetadata.PluginData) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Data that associates a summary with a certain plugin.
- setPluginData(SummaryMetadata.PluginData.Builder) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Data that associates a summary with a certain plugin.
- setPluginName(String) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
The name of the plugin this data pertains to.
- setPluginNameBytes(ByteString) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
The name of the plugin this data pertains to.
- setPollingActiveDelayUsecs(int) - Method in class org.tensorflow.framework.GPUOptions.Builder
-
In the event polling loop sleep this many microseconds between
PollEvents calls, when the queue is not empty.
- setPollingInactiveDelayMsecs(int) - Method in class org.tensorflow.framework.GPUOptions.Builder
-
This field is deprecated and ignored.
- setPrecedingNode(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
int32 preceding_node = 1;
- setPrecedingPort(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
int32 preceding_port = 2;
- setPredName(String) - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Name of the pred tensor.
- setPredNameBytes(ByteString) - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Name of the pred tensor.
- setPreProcessor(MultiDataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.adapter.MultiDataSetIteratorAdapter
-
- setPreProcessor(MultiDataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.adapter.SingletonMultiDataSetIterator
-
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
Set a pre processor
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- setPreProcessor(DataSetPreProcessor) - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
-
Set a pre processor
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
-
- setPreProcessor(MultiDataSetPreProcessor) - Method in interface org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator
-
Set the preprocessor to be applied to each MultiDataSet, before each MultiDataSet is returned.
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
-
Deprecated.
Set a pre processor
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
Set a pre processor
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
-
- setPreProcessor(MultiDataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator
-
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
-
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.ViewIterator
-
- setPreviousWorkspace(MemoryWorkspace) - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
- setProducer(int) - Method in class org.tensorflow.framework.VersionDef.Builder
-
The version of the code that produced this data.
- setProducerName(String) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The name of the framework or tool used to generate this model.
- setProducerName(String) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The name of the framework or tool used to generate this model.
- setProducerNameBytes(ByteString) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The name of the framework or tool used to generate this model.
- setProducerNameBytes(ByteString) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The name of the framework or tool used to generate this model.
- setProducerVersion(String) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The version of the framework or tool used to generate this model.
- setProducerVersion(String) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The version of the framework or tool used to generate this model.
- setProducerVersionBytes(ByteString) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The version of the framework or tool used to generate this model.
- setProducerVersionBytes(ByteString) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The version of the framework or tool used to generate this model.
- setProfilingConfig(ProfilerConfig) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- setProfilingConfig(ProfilerConfig) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method stores specified configuration.
- setProfilingMode(OpExecutioner.ProfilingMode) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
Deprecated.
- setProfilingMode(OpExecutioner.ProfilingMode) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
Deprecated.
- setProperties(DevicePropertiesProtos.DeviceProperties) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder
-
.tensorflow.DeviceProperties properties = 2;
- setProperties(DevicePropertiesProtos.DeviceProperties.Builder) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder
-
.tensorflow.DeviceProperties properties = 2;
- setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.autodiff.functions.DifferentialFunction
-
- setProtocol(String) - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
The protocol to be used by this server.
- setProtocolBytes(ByteString) - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
The protocol to be used by this server.
- setPtr(long) - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Address of the allocation.
- setPtr(long) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Address of the allocation.
- setQueue(int, EagerServiceOuterClass.QueueItem) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
repeated .tensorflow.eager.QueueItem queue = 3;
- setQueue(int, EagerServiceOuterClass.QueueItem.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
repeated .tensorflow.eager.QueueItem queue = 3;
- setQueueClosedExceptionTypes(int, Code) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- setQueueClosedExceptionTypesValue(int, int) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- setQueueName(String) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
Queue name.
- setQueueNameBytes(ByteString) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
Queue name.
- SetRange - Class in org.nd4j.linalg.api.ops.impl.transforms.strict
-
Set range to a particular set of values
- SetRange(SameDiff, SDVariable, boolean, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SetRange
-
- SetRange() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SetRange
-
- SetRange(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SetRange
-
- SetRange(INDArray, INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SetRange
-
- SetRange(INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SetRange
-
- setRawData(ByteString) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
Serializations can either use one of the fields above, or use this
raw bytes field.
- setRawData(ByteString) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
Serializations can either use one of the fields above, or use this
raw bytes field.
- setRecordCosts(boolean) - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder
-
bool record_costs = 1;
- setRecordPartitionGraphs(boolean) - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder
-
bool record_partition_graphs = 4;
- setRecordTimeline(boolean) - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder
-
bool record_timeline = 3;
- setRecv(int, NamedTensorProto) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- setRecv(int, NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- setRecvKey(int, String) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
repeated string recv_key = 4;
- setReferencedTensor(int, AllocationDescription) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- setReferencedTensor(int, AllocationDescription.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- setRemapping(RewriterConfig.Toggle) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Remapping (default is ON)
Remap subgraphs onto more efficient implementations.
- setRemappingValue(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Remapping (default is ON)
Remap subgraphs onto more efficient implementations.
- setRemoteDevice(int, DeviceAttributes) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- setRemoteDevice(int, DeviceAttributes.Builder) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- setRemoteGraph(GraphDef) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Definition of remote graph
- setRemoteGraph(GraphDef.Builder) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Definition of remote graph
- setRenameTo(String) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
Change the name used to access this arg in the API from what
is used in the GraphDef.
- setRenameTo(String) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Change the name used to access this attr in the API from what
is used in the GraphDef.
- setRenameToBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
Change the name used to access this arg in the API from what
is used in the GraphDef.
- setRenameToBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Change the name used to access this attr in the API from what
is used in the GraphDef.
- setRendezvousKey(String) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
A key identifying the channel to receive tensors from.
- setRendezvousKeyBytes(ByteString) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
A key identifying the channel to receive tensors from.
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxProto3.TypeProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.ClusterDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.JobDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.ResetRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.ResetResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.StepSequence.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.TraceOpts.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.TracingRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.TracingResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ApiDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ApiDefs.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.AssetFileDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.AttrValue.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.AutoParallelOptions.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CallableOptions.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CollectionDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CondContextDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CriticalSectionDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.DebugOptions.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GPUOptions.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GradientDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphOptions.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.InterconnectLink.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.KernelDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.LocalLinks.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.NameAttrList.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.NamedTensorProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.NodeDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.NodeOutput.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.OpDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.OpList.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.RPCOptions.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.RunMetadata.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.RunOptions.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.SavedModel.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.SignatureDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.StepStats.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.Summary.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.Summary.Image.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.TensorConnection.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.TensorDescription.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.TensorInfo.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.TensorProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ValuesDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.VariableDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.VersionDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.util.BundleHeaderProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.util.SaverDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder
-
- setReportTensorAllocationsUponOom(boolean) - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder
-
bool report_tensor_allocations_upon_oom = 5;
- setReportTensorAllocationsUponOom(boolean) - Method in class org.tensorflow.framework.RunOptions.Builder
-
When enabled, causes tensor allocation information to be included in
the error message when the Run() call fails because the allocator ran
out of memory (OOM).
- setRequestedBytes(long) - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Total number of bytes requested
- setRequestId(long) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Unique identifier for this request.
- setResourceHandleVal(int, ResourceHandleProto) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
- setResourceHandleVal(int, ResourceHandleProto.Builder) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
- setRestoreOpName(String) - Method in class org.tensorflow.util.SaverDef.Builder
-
The operation to run when restoring a model checkpoint.
- setRestoreOpNameBytes(ByteString) - Method in class org.tensorflow.util.SaverDef.Builder
-
The operation to run when restoring a model checkpoint.
- setRewindPosition(String, int) - Method in class org.nd4j.autodiff.samediff.flow.FlowPath
-
This method allows to set position for next rewind within graph
- setRewindPositionOnce(String, int) - Method in class org.nd4j.autodiff.samediff.flow.FlowPath
-
This method allows to set position for next rewind within graph.
- setRewriteOptions(RewriterConfig) - Method in class org.tensorflow.framework.GraphOptions.Builder
-
Options that control the type and amount of graph rewriting.
- setRewriteOptions(RewriterConfig.Builder) - Method in class org.tensorflow.framework.GraphOptions.Builder
-
Options that control the type and amount of graph rewriting.
- setRngStates(long, long) - Method in interface org.nd4j.linalg.api.ops.OpContext
-
This method sets root-level seed for rng
- setRootDir(File) - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- setRpcOptions(RPCOptions) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Options that apply when this session uses the distributed runtime.
- setRpcOptions(RPCOptions.Builder) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
Options that apply when this session uses the distributed runtime.
- setRunOptions(RunOptions) - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Options that will be applied to each run.
- setRunOptions(RunOptions.Builder) - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Options that will be applied to each run.
- setS(ByteString) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
UTF-8 string
- setS(ByteString) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
UTF-8 string
- setS(ByteString) - Method in class org.tensorflow.framework.AttrValue.Builder
-
"string"
- setS(int, ByteString) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(string)"
- setSampleRate(float) - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
Sample rate of the audio in Hz.
- setSavedModelSchemaVersion(long) - Method in class org.tensorflow.framework.SavedModel.Builder
-
The schema version of the SavedModel instance.
- setSaverDef(SaverDef) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
SaverDef.
- setSaverDef(SaverDef.Builder) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
SaverDef.
- setSaveSliceInfoDef(SaveSliceInfoDef) - Method in class org.tensorflow.framework.VariableDef.Builder
-
Support for saving variables as slices of a larger variable.
- setSaveSliceInfoDef(SaveSliceInfoDef.Builder) - Method in class org.tensorflow.framework.VariableDef.Builder
-
Support for saving variables as slices of a larger variable.
- setSaveTensorName(String) - Method in class org.tensorflow.util.SaverDef.Builder
-
The operation to run when saving a model checkpoint.
- setSaveTensorNameBytes(ByteString) - Method in class org.tensorflow.util.SaverDef.Builder
-
The operation to run when saving a model checkpoint.
- setScalar(Number) - Method in class org.nd4j.linalg.api.ops.BaseScalarBoolOp
-
- setScalar(INDArray) - Method in class org.nd4j.linalg.api.ops.BaseScalarBoolOp
-
- setScalar(Number) - Method in class org.nd4j.linalg.api.ops.BaseScalarOp
-
- setScalar(INDArray) - Method in class org.nd4j.linalg.api.ops.BaseScalarOp
-
- setScalar(Number) - Method in interface org.nd4j.linalg.api.ops.ScalarOp
-
This method allows to set scalar
- setScalar(INDArray) - Method in interface org.nd4j.linalg.api.ops.ScalarOp
-
- setScheduledMicros(long) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 scheduled_micros = 9;
- setScomplexVal(int, float) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX64.
- setScopedAllocatorOptimization(RewriterConfig.Toggle) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Try to allocate some independent Op outputs contiguously in order to
merge or eliminate downstream Ops (off by default).
- setScopedAllocatorOptimizationValue(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Try to allocate some independent Op outputs contiguously in order to
merge or eliminate downstream Ops (off by default).
- setScopedAllocatorOpts(ScopedAllocatorOptions) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
- setScopedAllocatorOpts(ScopedAllocatorOptions.Builder) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
- setScopedOutFor(T) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr
-
- setScopedOutFor(T) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr
-
Set arrays to be scoped out (not in any workspace) for the specified array type.
- setSecondPointers(GridPointers) - Method in class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
-
- setSecondPointers(GridPointers) - Method in interface org.nd4j.linalg.api.ops.MetaOp
-
- setSeed(int) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- setSeed(int[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- setSeed(long) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- setSeed(int) - Method in interface org.nd4j.linalg.api.rng.Random
-
Sets the seed of the underlying random number generator using an
int
seed.
- setSeed(int[]) - Method in interface org.nd4j.linalg.api.rng.Random
-
Sets the seed of the underlying random number generator using an
int
seed.
- setSeed(long) - Method in interface org.nd4j.linalg.api.rng.Random
-
Sets the seed of the underlying random number generator using a
long
seed.
- setSegment(OnnxMlProto3.TensorProto.Segment) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
.onnx.TensorProto.Segment segment = 3;
- setSegment(OnnxMlProto3.TensorProto.Segment.Builder) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
.onnx.TensorProto.Segment segment = 3;
- setSegment(OnnxProto3.TensorProto.Segment) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
.onnx.TensorProto.Segment segment = 3;
- setSegment(OnnxProto3.TensorProto.Segment.Builder) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
.onnx.TensorProto.Segment segment = 3;
- setSend(int, NamedTensorProto) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
Runs the graph.
- setSend(int, NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
Runs the graph.
- setSendStartMicros(long) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
-
Optional, for timeline.
- setSendStartMicros(long) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
-
The time at which tensor was available and started to be returned.
- setSequenceType(OnnxMlProto3.TypeProto.Sequence) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a sequence.
- setSequenceType(OnnxMlProto3.TypeProto.Sequence.Builder) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a sequence.
- setSerializedExecutorParameters(ByteString) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Parameters given to the executor
- setServerDef(ServerDef) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
Defines the configuration of a TensorFlow worker.
- setServerDef(ServerDef.Builder) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
Defines the configuration of a TensorFlow worker.
- setServerDef(ServerDef) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
Identifies the full cluster, and this particular worker's position within.
- setServerDef(ServerDef.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
Identifies the full cluster, and this particular worker's position within.
- setServerLocality(DeviceLocality) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional information on server-side device locality.
- setServerLocality(DeviceLocality.Builder) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional information on server-side device locality.
- setServerLocality(DeviceLocality) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Optional information on server-side device locality.
- setServerLocality(DeviceLocality.Builder) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Optional information on server-side device locality.
- setSessionHandle(String) - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- setSessionHandle(String) - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder
-
The session handle to be used in subsequent calls for the created session.
- setSessionHandle(String) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
Sessions are identified by a given handle.
- setSessionHandle(String) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
-
Sessions are identified by a given handle.
- setSessionHandle(String) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
The session_handle used when registering the graph.
- setSessionHandle(String) - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- setSessionHandle(String) - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder
-
Optional: session_handle must be returned by a CreateSession call to the
same master service.
- setSessionHandle(String) - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- setSessionHandle(String) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- setSessionHandle(String) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Subgraphs are scoped within one session.
- setSessionHandle(String) - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- setSessionHandle(String) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- setSessionHandle(String) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
session_handle is the master-generated unique id for this session.
- setSessionHandle(String) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- setSessionHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- setSessionHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder
-
The session handle to be used in subsequent calls for the created session.
- setSessionHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
Sessions are identified by a given handle.
- setSessionHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
-
Sessions are identified by a given handle.
- setSessionHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
The session_handle used when registering the graph.
- setSessionHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- setSessionHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder
-
Optional: session_handle must be returned by a CreateSession call to the
same master service.
- setSessionHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- setSessionHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- setSessionHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Subgraphs are scoped within one session.
- setSessionHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- setSessionHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- setSessionHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
session_handle is the master-generated unique id for this session.
- setSessionHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- setSessionInterOpThreadPool(int, ThreadPoolOptionProto) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- setSessionInterOpThreadPool(int, ThreadPoolOptionProto.Builder) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- setShape(OnnxMlProto3.TensorShapeProto) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
.onnx.TensorShapeProto shape = 2;
- setShape(OnnxMlProto3.TensorShapeProto.Builder) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
.onnx.TensorShapeProto shape = 2;
- setShape(OnnxProto3.TensorShapeProto) - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
.onnx.TensorShapeProto shape = 2;
- setShape(OnnxProto3.TensorShapeProto.Builder) - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
.onnx.TensorShapeProto shape = 2;
- setShape(long[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- setShape(long...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- setShape(long...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- setShape(long...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Deprecated.
- setShape(TensorShapeProto) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
.tensorflow.TensorShapeProto shape = 4;
- setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
.tensorflow.TensorShapeProto shape = 4;
- setShape(TensorShapeProto) - Method in class org.tensorflow.framework.AttrValue.Builder
-
"shape"
- setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.framework.AttrValue.Builder
-
"shape"
- setShape(int, TensorShapeProto) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
- setShape(int, TensorShapeProto.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
- setShape(TensorShapeProto) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
.tensorflow.TensorShapeProto shape = 3;
- setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
.tensorflow.TensorShapeProto shape = 3;
- setShape(int, long) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
repeated int64 shape = 3;
- setShape(int, long) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
repeated int64 shape = 2;
- setShape(int, long) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
repeated int64 shape = 2;
- setShape(TensorShapeProto) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
.tensorflow.TensorShapeProto shape = 2;
- setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
.tensorflow.TensorShapeProto shape = 2;
- setShape(TensorShapeProto) - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Shape of the tensor.
- setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Shape of the tensor.
- setShape(TensorShapeProto) - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
.tensorflow.TensorShapeProto shape = 2;
- setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
.tensorflow.TensorShapeProto shape = 2;
- setShapeAndStride(int[], int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- setShapeAndStride(int[], int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- setShapeAndStride(int[], int[]) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Shape and stride setter
- setShapeInformation(Pair<DataBuffer, long[]>) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- setShapeOptimization(RewriterConfig.Toggle) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Shape optimizations (default is ON)
Simplify computations made on shapes.
- setShapeOptimizationValue(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
Shape optimizations (default is ON)
Simplify computations made on shapes.
- setSharded(boolean) - Method in class org.tensorflow.util.SaverDef.Builder
-
Shard the save files, one per device that has Variable nodes.
- setShardId(int) - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
The binary content of the tensor lies in:
File "shard_id": bytes [offset, offset + size).
- setSharedMemorySizePerMultiprocessor(long) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Shared memory size per multiprocessor in bytes.
- setSignature(OpDef) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
The definition of the function's name, arguments, return values,
attrs etc.
- setSignature(OpDef.Builder) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
The definition of the function's name, arguments, return values,
attrs etc.
- setSimpleValue(float) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
float simple_value = 2;
- setSinceVersion(long) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
The version of the operator set that first introduced this
operator.
- setSize(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
int64 size = 1;
- setSize(long) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
Size of the tensor in that dimension.
- setSize(long) - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
int64 size = 5;
- setSlices(int, TensorSliceProto) - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
Iff present, this entry represents a partitioned tensor.
- setSlices(int, TensorSliceProto.Builder) - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
Iff present, this entry represents a partitioned tensor.
- setSlot(int) - Method in class org.tensorflow.framework.NodeOutput.Builder
-
int32 slot = 1;
- setSlotName(String) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
-
The name of the slot (e.g.
- setSlotNameBytes(ByteString) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
-
The name of the slot (e.g.
- setSlotVariableNodeId(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
-
An index into `CheckpointableObjectGraph.nodes`, indicating the
`Object` with the value of the slot variable.
- setSlotVariables(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Slot variables owned by this object.
- setSlotVariables(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Slot variables owned by this object.
- setSnapshotName(String) - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the snapshot tensor.
- setSnapshotNameBytes(ByteString) - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the snapshot tensor.
- setSocOpId(int) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
int32 soc_op_id = 4;
- setSourceFiles(int, DebuggedSourceFile) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
-
A collection of source code files.
- setSourceFiles(int, DebuggedSourceFile.Builder) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
-
A collection of source code files.
- setSourceRank(int) - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder
-
int32 source_rank = 2;
- setSparseFactory(NDArrayFactory) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- setSparseNDArrayClazz(Class<? extends NDArrayFactory>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- setSrcDevice(String) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional, for annotating the timeline.
- setSrcDeviceBytes(ByteString) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional, for annotating the timeline.
- setStart(long) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
Start index of the slice, starting at 0.
- setStates(long, long) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- setStates(long, long) - Method in interface org.nd4j.linalg.api.rng.Random
-
- setStateViewArray(INDArray, long[], char, boolean) - Method in class org.nd4j.linalg.learning.AdaDeltaUpdater
-
- setStateViewArray(INDArray, long[], char, boolean) - Method in class org.nd4j.linalg.learning.AdaGradUpdater
-
- setStateViewArray(INDArray, long[], char, boolean) - Method in class org.nd4j.linalg.learning.AdaMaxUpdater
-
- setStateViewArray(INDArray, long[], char, boolean) - Method in class org.nd4j.linalg.learning.AdamUpdater
-
- setStateViewArray(INDArray, long[], char, boolean) - Method in class org.nd4j.linalg.learning.AMSGradUpdater
-
- setStateViewArray(INDArray, long[], char, boolean) - Method in interface org.nd4j.linalg.learning.GradientUpdater
-
For the internal updater state (if any): set this to use the provided array.
- setStateViewArray(INDArray, int[], char, boolean) - Method in class org.nd4j.linalg.learning.legacy.AdaGrad
-
- setStateViewArray(INDArray, long[], char, boolean) - Method in class org.nd4j.linalg.learning.legacy.AdaGrad
-
- setStateViewArray(INDArray, long[], char, boolean) - Method in class org.nd4j.linalg.learning.NadamUpdater
-
- setStateViewArray(INDArray, long[], char, boolean) - Method in class org.nd4j.linalg.learning.NesterovsUpdater
-
- setStateViewArray(INDArray, long[], char, boolean) - Method in class org.nd4j.linalg.learning.NoOpUpdater
-
- setStateViewArray(INDArray, long[], char, boolean) - Method in class org.nd4j.linalg.learning.RmsPropUpdater
-
- setStateViewArray(INDArray, long[], char, boolean) - Method in class org.nd4j.linalg.learning.SgdUpdater
-
- setStatus(OnnxOperatorsProto3.OperatorProto.OperatorStatus) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
This field indicates whether the syntax, semantics, or presence
of this operator is in an experimental or stable stage.
- setStatusCode(Code) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- setStatusCode(Code) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- setStatusCodeValue(int) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- setStatusCodeValue(int) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- setStatusErrorMessage(String) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
string status_error_message = 6;
- setStatusErrorMessage(String) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
string status_error_message = 4;
- setStatusErrorMessageBytes(ByteString) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
string status_error_message = 6;
- setStatusErrorMessageBytes(ByteString) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
string status_error_message = 4;
- setStatusValue(int) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
This field indicates whether the syntax, semantics, or presence
of this operator is in an experimental or stable stage.
- setStep(int, LabeledStepStats) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
-
repeated .tensorflow.LabeledStepStats step = 1;
- setStep(int, LabeledStepStats.Builder) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
-
repeated .tensorflow.LabeledStepStats step = 1;
- setStepId(long) - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder
-
int64 step_id = 1;
- setStepId(long) - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder
-
int64 step_id = 1;
- setStepId(long) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Used at server side to find the correct BufRendezvous.
- setStepId(long) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
The step in which the tensor will be produced.
- setStepId(long) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
A unique ID to distinguish different runs of the same graph.
- setStepId(long) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Process-unique step id.
- setStepId(long) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Process-unique step id.
- setStepId(long) - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
Process-unique step id.
- setStepId(long) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Process-unique step id.
- setStepId(long) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Process-unique step id.
- setStepSequence(int, StepSequence) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
repeated .tensorflow.StepSequence step_sequence = 1;
- setStepSequence(int, StepSequence.Builder) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
repeated .tensorflow.StepSequence step_sequence = 1;
- setStepStats(StepStats) - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder
-
.tensorflow.StepStats step_stats = 2;
- setStepStats(StepStats.Builder) - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder
-
.tensorflow.StepStats step_stats = 2;
- setStepStats(StepStats) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
If the request asked for execution stats, the cost graph, or the partition
graphs, these are returned here.
- setStepStats(StepStats.Builder) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
If the request asked for execution stats, the cost graph, or the partition
graphs, these are returned here.
- setStepStats(StepStats) - Method in class org.tensorflow.framework.RunMetadata.Builder
-
Statistics traced for this step.
- setStepStats(StepStats.Builder) - Method in class org.tensorflow.framework.RunMetadata.Builder
-
Statistics traced for this step.
- setStoreErrorsInResponseBody(boolean) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
If true then some errors, e.g., execution errors that have long
error messages, may return an OK RunGraphResponse with the actual
error saved in the status_code/status_error_message fields of the
response body.
- setStoreErrorsInResponseBody(boolean) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
If true then some errors, e.g., execution errors that have long
error messages, may return an OK RunStepResponse with the actual
error saved in the status_code/status_error_message fields of the
response body.
- setStrength(int) - Method in class org.tensorflow.framework.InterconnectLink.Builder
-
int32 strength = 3;
- setStride(long[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- setStride(long...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- setStride(long...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- setStride(long...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Deprecated.
- setStringData(int, ByteString) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For strings.
- setStringData(int, ByteString) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For strings.
- setStrings(int, ByteString) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of UTF-8 strings
- setStrings(int, ByteString) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of UTF-8 strings
- setStringVal(int, ByteString) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_STRING
- setStrippedDefaultAttrs(boolean) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
A flag to denote whether default-valued attrs have been stripped from
the nodes in this graph_def.
- setStrippedOpList(OpList) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
A copy of the OpDefs used by the producer of this graph_def.
- setStrippedOpList(OpList.Builder) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
A copy of the OpDefs used by the producer of this graph_def.
- setSubdivOffset(int, int) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
repeated int32 subdiv_offset = 9;
- setSum(double) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double sum = 4;
- setSummary(String) - Method in class org.tensorflow.framework.ApiDef.Builder
-
One-line human-readable description of what the Op does.
- setSummary(String) - Method in class org.tensorflow.framework.OpDef.Builder
-
One-line human-readable description of what the Op does.
- setSummaryBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Builder
-
One-line human-readable description of what the Op does.
- setSummaryBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.Builder
-
One-line human-readable description of what the Op does.
- setSummaryDescription(String) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Longform readable description of the summary sequence.
- setSummaryDescriptionBytes(ByteString) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Longform readable description of the summary sequence.
- setSumSquares(double) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double sum_squares = 5;
- setSwapMemory(boolean) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Whether GPU-CPU memory swap is enabled for this loop.
- setT(OnnxMlProto3.TensorProto) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
tensor value
- setT(OnnxMlProto3.TensorProto.Builder) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
tensor value
- setT(OnnxProto3.TensorProto) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
tensor value
- setT(OnnxProto3.TensorProto.Builder) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
tensor value
- setTadThreshold(int) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
This method allows to set desired number of sub-arrays per thread, for performance optimization purposes.
- setTadThreshold(int) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method allows to set desired number of sub-arrays per thread, for performance optimization purposes.
- setTag(String) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
Tag name for the data.
- setTagBytes(ByteString) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
Tag name for the data.
- setTags(int, String) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
User supplied tag(s) on the meta_graph and included graph_def.
- setTarget(String) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
-
The target string used from the client's perspective.
- setTarget(int, String) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Target Nodes.
- setTarget(int, String) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
Target Nodes.
- setTarget(int, String) - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Target Nodes.
- setTargetBytes(ByteString) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
-
The target string used from the client's perspective.
- setTArguments(double...) - Method in class org.nd4j.linalg.api.ops.BaseOpContext
-
- setTArguments(double...) - Method in interface org.nd4j.linalg.api.ops.OpContext
-
This method sets floating point arguments required for operation
- setTaskIndex(int) - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
The task index of this server in its job.
- setTaskName(int, String) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
task name prefixes of device_names
- setTempMemorySize(long) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
int64 temp_memory_size = 1;
- setTemporaryMemorySize(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Temporary memory used by this node.
- setTensor(TensorProto) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
-
The tensor as a proto.
- setTensor(TensorProto.Builder) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
-
The tensor as a proto.
- setTensor(int, NamedTensorProto) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- setTensor(int, NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- setTensor(TensorProto) - Method in class org.tensorflow.framework.AttrValue.Builder
-
"tensor"
- setTensor(TensorProto.Builder) - Method in class org.tensorflow.framework.AttrValue.Builder
-
"tensor"
- setTensor(int, TensorProto) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
- setTensor(int, TensorProto.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
- setTensor(TensorDescription) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Allocated tensor details.
- setTensor(TensorDescription.Builder) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Allocated tensor details.
- setTensor(TensorDescription) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Output tensor details.
- setTensor(TensorDescription.Builder) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Output tensor details.
- setTensor(TensorProto) - Method in class org.tensorflow.framework.NamedTensorProto.Builder
-
The client can populate a TensorProto using a tensorflow::Tensor`, or
directly using the protobuf field accessors.
- setTensor(TensorProto.Builder) - Method in class org.tensorflow.framework.NamedTensorProto.Builder
-
The client can populate a TensorProto using a tensorflow::Tensor`, or
directly using the protobuf field accessors.
- setTensor(TensorProto) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.TensorProto tensor = 8;
- setTensor(TensorProto.Builder) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.TensorProto tensor = 8;
- setTensorConnection(int, TensorConnection) - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Tensors to be connected in the callable.
- setTensorConnection(int, TensorConnection.Builder) - Method in class org.tensorflow.framework.CallableOptions.Builder
-
Tensors to be connected in the callable.
- setTensorContent(ByteString) - Method in class org.tensorflow.framework.TensorProto.Builder
-
Serialized raw tensor content from either Tensor::AsProtoTensorContent or
memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
- setTensorContent(ByteString) - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder
-
bytes tensor_content = 1;
- setTensorDescription(TensorDescription) - Method in class org.tensorflow.framework.NodeOutput.Builder
-
.tensorflow.TensorDescription tensor_description = 3;
- setTensorDescription(TensorDescription.Builder) - Method in class org.tensorflow.framework.NodeOutput.Builder
-
.tensorflow.TensorDescription tensor_description = 3;
- setTensorflowGitVersion(String) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
The __git_version__ string of the tensorflow build used to write this
graph.
- setTensorflowGitVersionBytes(ByteString) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
The __git_version__ string of the tensorflow build used to write this
graph.
- setTensorflowVersion(String) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
The __version__ string of the tensorflow build used to write this graph.
- setTensorflowVersionBytes(ByteString) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
The __version__ string of the tensorflow build used to write this graph.
- setTensorInfo(TensorInfo) - Method in class org.tensorflow.framework.AssetFileDef.Builder
-
The tensor to bind the asset filename to.
- setTensorInfo(TensorInfo.Builder) - Method in class org.tensorflow.framework.AssetFileDef.Builder
-
The tensor to bind the asset filename to.
- setTensors(int, OnnxMlProto3.TensorProto) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of tensors
- setTensors(int, OnnxMlProto3.TensorProto.Builder) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of tensors
- setTensors(int, OnnxProto3.TensorProto) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of tensors
- setTensors(int, OnnxProto3.TensorProto.Builder) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of tensors
- setTensors(int, TensorProto) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- setTensors(int, TensorProto.Builder) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- setTensorShape(TensorShapeProto) - Method in class org.tensorflow.framework.TensorInfo.Builder
-
The static shape should be recorded here, to the extent that it can
be known in advance.
- setTensorShape(TensorShapeProto.Builder) - Method in class org.tensorflow.framework.TensorInfo.Builder
-
The static shape should be recorded here, to the extent that it can
be known in advance.
- setTensorShape(TensorShapeProto) - Method in class org.tensorflow.framework.TensorProto.Builder
-
Shape of the tensor.
- setTensorShape(TensorShapeProto.Builder) - Method in class org.tensorflow.framework.TensorProto.Builder
-
Shape of the tensor.
- setTensorType(OnnxMlProto3.TypeProto.Tensor) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a tensor.
- setTensorType(OnnxMlProto3.TypeProto.Tensor.Builder) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a tensor.
- setTensorType(OnnxProto3.TypeProto.Tensor) - Method in class onnx.OnnxProto3.TypeProto.Builder
-
The type of a tensor.
- setTensorType(OnnxProto3.TypeProto.Tensor.Builder) - Method in class onnx.OnnxProto3.TypeProto.Builder
-
The type of a tensor.
- setTest(DataSet) - Method in class org.nd4j.linalg.dataset.SplitTestAndTrain
-
- setThreadId(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
uint32 thread_id = 10;
- setTimelineLabel(String) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
string timeline_label = 8;
- setTimelineLabelBytes(ByteString) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
string timeline_label = 8;
- setTimelineStep(int) - Method in class org.tensorflow.framework.GraphOptions.Builder
-
If > 0, record a timeline every this many steps.
- setTimeoutInMs(long) - Method in class org.tensorflow.framework.RunOptions.Builder
-
Time to wait for operation to complete in milliseconds.
- setTolerateDebugOpCreationFailures(boolean) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
Do not error out if debug op creation fails (e.g., due to dtype
incompatibility).
- setTotalBytes(long) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
These are per-node allocator memory stats.
- setToTensor(String) - Method in class org.tensorflow.framework.TensorConnection.Builder
-
A tensor name.
- setToTensorBytes(ByteString) - Method in class org.tensorflow.framework.TensorConnection.Builder
-
A tensor name.
- setTraceLevel(RunOptions.TraceLevel) - Method in class org.tensorflow.framework.RunOptions.Builder
-
.tensorflow.RunOptions.TraceLevel trace_level = 1;
- setTraceLevelValue(int) - Method in class org.tensorflow.framework.RunOptions.Builder
-
.tensorflow.RunOptions.TraceLevel trace_level = 1;
- setTrain(DataSet) - Method in class org.nd4j.linalg.dataset.SplitTestAndTrain
-
- setTrainable(boolean) - Method in class org.tensorflow.framework.VariableDef.Builder
-
Whether this variable should be trained.
- setTrainingConfig(TrainingConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Set the training configuration (
TrainingConfig
) for the SameDiff instance.
- setTransportOptions(Any) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional, implementation-specific data.
- setTransportOptions(Any.Builder) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional, implementation-specific data.
- setTransportOptions(Any) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
-
Optional, implementation-specific data.
- setTransportOptions(Any.Builder) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
-
Optional, implementation-specific data.
- setTransportOptions(Any) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Optional information needed by the RPC subsystem.
- setTransportOptions(Any.Builder) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Optional information needed by the RPC subsystem.
- setTransportOptions(Any) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
-
Optional additional information about how to receive the tensor,
e.g.
- setTransportOptions(Any.Builder) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
-
Optional additional information about how to receive the tensor,
e.g.
- setType(OnnxMlProto3.AttributeProto.AttributeType) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
The type field MUST be present for this version of the IR.
- setType(OnnxMlProto3.TypeProto) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- setType(OnnxMlProto3.TypeProto.Builder) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- setType(OnnxProto3.AttributeProto.AttributeType) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
The type field MUST be present for this version of the IR.
- setType(OnnxProto3.TypeProto) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- setType(OnnxProto3.TypeProto.Builder) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- setType(int) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
int32 type = 2;
- setType(DataType) - Method in class org.tensorflow.framework.AttrValue.Builder
-
"type"
- setType(int, DataType) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(type)"
- setType(String) - Method in class org.tensorflow.framework.InterconnectLink.Builder
-
string type = 2;
- setType(DataType) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Describes the type of one or more tensors that are accepted/produced
by this input/output arg.
- setType(String) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
One of the type names from attr_value.proto ("string", "list(string)",
"int", etc.).
- setType(String) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Device type (CPU, GPU, ...)
- setTypeAttr(String) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
if specified, attr must have type "type"
- setTypeAttrBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
if specified, attr must have type "type"
- setTypeBytes(ByteString) - Method in class org.tensorflow.framework.InterconnectLink.Builder
-
string type = 2;
- setTypeBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
One of the type names from attr_value.proto ("string", "list(string)",
"int", etc.).
- setTypeBytes(ByteString) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Device type (CPU, GPU, ...)
- setTypeHint(String) - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
Hint on how plugins should process the data in this series.
- setTypeHintBytes(ByteString) - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
Hint on how plugins should process the data in this series.
- setTypeListAttr(String) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
If specified, attr must have type "list(type)", and none of
type, type_attr, and number_attr may be specified.
- setTypeListAttrBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
If specified, attr must have type "list(type)", and none of
type, type_attr, and number_attr may be specified.
- setTypeName(String) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
string type_name = 3;
- setTypeName(String) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Name of the type of objects being serialized.
- setTypeNameBytes(ByteString) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
string type_name = 3;
- setTypeNameBytes(ByteString) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Name of the type of objects being serialized.
- setTypeValue(int) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
The type field MUST be present for this version of the IR.
- setTypeValue(int) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
The type field MUST be present for this version of the IR.
- setTypeValue(int) - Method in class org.tensorflow.framework.AttrValue.Builder
-
"type"
- setTypeValue(int, int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(type)"
- setTypeValue(int) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Describes the type of one or more tensors that are accepted/produced
by this input/output arg.
- setUint32Val(int, int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_UINT32
- setUint64Data(int, long) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- setUint64Data(int, long) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- setUint64Val(int, long) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_UINT64
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.TypeProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ClusterDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.JobDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ResetRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ResetResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ServerDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.StepSequence.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.TraceOpts.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.TracingRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.TracingResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ApiDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ApiDefs.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AssetFileDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AttrValue.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AutoParallelOptions.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CallableOptions.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CollectionDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CondContextDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CriticalSectionDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.DebugOptions.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GPUOptions.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GradientDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphOptions.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.InterconnectLink.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.KernelDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.LocalLinks.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.NameAttrList.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.NamedTensorProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.NodeDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.NodeOutput.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.OpDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.OpList.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.OptimizerOptions.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.RewriterConfig.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.RPCOptions.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.RunMetadata.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.RunOptions.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.SavedModel.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.SignatureDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.StepStats.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.Summary.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.Summary.Image.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorConnection.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorDescription.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorInfo.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ValuesDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.VariableDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.VersionDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.util.BundleEntryProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.util.BundleHeaderProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.util.SaverDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder
-
- setUnknownRank(boolean) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
If true, the number of dimensions in the shape is unknown.
- setupFunction(X) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- setUseExtendedProfiler(boolean) - Method in class org.tensorflow.distruntime.TraceOpts.Builder
-
If true, capture extended profiling events from TensorFlow process.
- setUseGpuProfiler(boolean) - Method in class org.tensorflow.distruntime.TraceOpts.Builder
-
If true, capture GPU profiling events locally on each
machine.
- setUseKernelProfiler(boolean) - Method in class org.tensorflow.distruntime.TraceOpts.Builder
-
If true, capture kernel events from each worker.
- setUsePerSessionThreads(boolean) - Method in class org.tensorflow.framework.ConfigProto.Builder
-
If true, use a new set of threads for this session rather than the global
pool of threads.
- setUseRpcForInprocessMaster(boolean) - Method in class org.tensorflow.framework.RPCOptions.Builder
-
If true, always use RPC to contact the session target.
- setUseSampleProfiler(boolean) - Method in class org.tensorflow.distruntime.TraceOpts.Builder
-
If true, collect sampled profile events.
- setUseStepProfiler(boolean) - Method in class org.tensorflow.distruntime.TraceOpts.Builder
-
If true, capture step profile locally in each worker.
- setUseUnifiedMemory(boolean) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
-
If true, uses CUDA unified memory for memory allocations.
- setValue(String) - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
string value = 2;
- setValue(String) - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
string value = 2;
- setValue(int, Any) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
-
repeated .google.protobuf.Any value = 1;
- setValue(int, Any.Builder) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
-
repeated .google.protobuf.Any value = 1;
- setValue(int, ByteString) - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder
-
repeated bytes value = 1;
- setValue(int, float) - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder
-
repeated float value = 1 [packed = true];
- setValue(int, long) - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder
-
repeated int64 value = 1 [packed = true];
- setValue(int, String) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder
-
repeated string value = 1;
- setValue(int, Summary.Value) - Method in class org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- setValue(int, Summary.Value.Builder) - Method in class org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- setValueBytes(ByteString) - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
string value = 2;
- setValueBytes(ByteString) - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
string value = 2;
- setValueFor(Field, Object) - Method in class org.nd4j.autodiff.functions.DifferentialFunction
-
Set the value for this function.
- setValueFor(Field, Object) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.BaseConvolutionConfig
-
Set the value for this function.
- setValueFor(Field, Object) - Method in class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast
-
- setValueInfo(int, OnnxMlProto3.ValueInfoProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
Information for the values in the graph.
- setValueInfo(int, OnnxMlProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
Information for the values in the graph.
- setValueInfo(int, OnnxProto3.ValueInfoProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
Information for the values in the graph.
- setValueInfo(int, OnnxProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
Information for the values in the graph.
- setValues(int, String) - Method in class org.tensorflow.framework.ValuesDef.Builder
-
Value names that have been seen in this context.
- setValuesDef(ValuesDef) - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Values and external values in control flow context.
- setValuesDef(ValuesDef.Builder) - Method in class org.tensorflow.framework.CondContextDef.Builder
-
Values and external values in control flow context.
- setValuesDef(ValuesDef) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Values and external values in control flow context.
- setValuesDef(ValuesDef.Builder) - Method in class org.tensorflow.framework.WhileContextDef.Builder
-
Values and external values in control flow context.
- setValuesTensorName(String) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
The shape of the values Tensor is [?].
- setValuesTensorNameBytes(ByteString) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
The shape of the values Tensor is [?].
- setValueType(OnnxMlProto3.TypeProto) - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
This field MUST be present for this version of the IR.
- setValueType(OnnxMlProto3.TypeProto.Builder) - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
This field MUST be present for this version of the IR.
- setVariableName(String) - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the variable tensor.
- setVariableNameBytes(ByteString) - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the variable tensor.
- setVariantVal(int, VariantTensorDataProto) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
- setVariantVal(int, VariantTensorDataProto.Builder) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
- setVarOffset(int, long) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Offset of this variable into the full variable.
- setVarShape(int, long) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of this variable.
- setVendor(String) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Vendor (Intel, nvidia, ...)
- setVendorBytes(ByteString) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Vendor (Intel, nvidia, ...)
- setVersion(long) - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
The version of the operator set being identified.
- setVersion(long) - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
The version of the operator set being identified.
- setVersion(int) - Method in class org.tensorflow.framework.GraphDef.Builder
-
Deprecated.
- setVersion(int) - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
First GraphDef version at which the op is disallowed.
- setVersion(VersionDef) - Method in class org.tensorflow.util.BundleHeaderProto.Builder
-
Versioning of the tensor bundle format.
- setVersion(VersionDef.Builder) - Method in class org.tensorflow.util.BundleHeaderProto.Builder
-
Versioning of the tensor bundle format.
- setVersion(String) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
A user-specified version string.
- setVersion(SaverDef.CheckpointFormatVersion) - Method in class org.tensorflow.util.SaverDef.Builder
-
.tensorflow.SaverDef.CheckpointFormatVersion version = 7;
- setVersionBytes(ByteString) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
A user-specified version string.
- setVersionDef(VersionDef) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
This is the version for all the ops that will be enqueued by the client.
- setVersionDef(VersionDef.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
This is the version for all the ops that will be enqueued by the client.
- setVersionNumber(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
Version number.
- setVersions(VersionDef) - Method in class org.tensorflow.framework.GraphDef.Builder
-
Compatibility versions of the graph.
- setVersions(VersionDef.Builder) - Method in class org.tensorflow.framework.GraphDef.Builder
-
Compatibility versions of the graph.
- setVersionValue(int) - Method in class org.tensorflow.util.SaverDef.Builder
-
.tensorflow.SaverDef.CheckpointFormatVersion version = 7;
- setVirtualDevices(int, GPUOptions.Experimental.VirtualDevices) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
-
The multi virtual device settings.
- setVirtualDevices(int, GPUOptions.Experimental.VirtualDevices.Builder) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
-
The multi virtual device settings.
- setVisibility(ApiDef.Visibility) - Method in class org.tensorflow.framework.ApiDef.Builder
-
.tensorflow.ApiDef.Visibility visibility = 2;
- setVisibilityValue(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
.tensorflow.ApiDef.Visibility visibility = 2;
- setVisibleDeviceList(String) - Method in class org.tensorflow.framework.GPUOptions.Builder
-
A comma-separated list of GPU ids that determines the 'visible'
to 'virtual' mapping of GPU devices.
- setVisibleDeviceListBytes(ByteString) - Method in class org.tensorflow.framework.GPUOptions.Builder
-
A comma-separated list of GPU ids that determines the 'visible'
to 'virtual' mapping of GPU devices.
- setWhileCtxt(WhileContextDef) - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder
-
.tensorflow.WhileContextDef while_ctxt = 2;
- setWhileCtxt(WhileContextDef.Builder) - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder
-
.tensorflow.WhileContextDef while_ctxt = 2;
- setWidth(int) - Method in class org.tensorflow.framework.Summary.Image.Builder
-
int32 width = 2;
- setWorkFinished(long) - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
int64 work_finished = 2;
- setWorkspace(T, String, WorkspaceConfiguration) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr
-
- setWorkspace(T, String, WorkspaceConfiguration) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr
-
Seth the workspace name and configuration for the specified array type
- setWorkspaceForCurrentThread(MemoryWorkspace) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
- setWorkspaceForCurrentThread(MemoryWorkspace, String) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
- setWorkspaceName(T, String) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr
-
- setWorkspaceName(T, String) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr
-
Set the workspace name for the specified array type
- setWorkStarted(long) - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
int64 work_started = 1;
- setX(INDArray) - Method in class org.nd4j.linalg.api.ops.BaseOp
-
- setX(INDArray) - Method in interface org.nd4j.linalg.api.ops.Op
-
set x (the input ndarray)
- setX(INDArray) - Method in class org.nd4j.linalg.api.ops.random.impl.Linspace
-
- setY(INDArray) - Method in class org.nd4j.linalg.api.ops.BaseOp
-
- setY(INDArray) - Method in interface org.nd4j.linalg.api.ops.Op
-
set y(the pairwise ndarray)
- setY(INDArray) - Method in class org.nd4j.linalg.api.ops.random.impl.Linspace
-
- setZ(INDArray) - Method in class org.nd4j.linalg.api.ops.BaseOp
-
- setZ(INDArray) - Method in interface org.nd4j.linalg.api.ops.Op
-
set z (the solution ndarray)
- setZ(INDArray) - Method in class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution
-
- setZ(INDArray) - Method in class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution
-
- setZ(INDArray) - Method in class org.nd4j.linalg.api.ops.random.impl.LogNormalDistribution
-
- setZ(INDArray) - Method in class org.nd4j.linalg.api.ops.random.impl.TruncatedNormalDistribution
-
- sgbmv(char, char, int, int, int, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- Sgd - Class in org.nd4j.linalg.learning.config
-
SGD updater applies a learning rate only
- Sgd() - Constructor for class org.nd4j.linalg.learning.config.Sgd
-
- Sgd(double) - Constructor for class org.nd4j.linalg.learning.config.Sgd
-
- Sgd(ISchedule) - Constructor for class org.nd4j.linalg.learning.config.Sgd
-
- Sgd.Builder - Class in org.nd4j.linalg.learning.config
-
- SgdUpdater - Class in org.nd4j.linalg.learning
-
SGD updater applies a learning rate only
- SgdUpdater(Sgd) - Constructor for class org.nd4j.linalg.learning.SgdUpdater
-
- sgemm(char, char, char, int, int, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- sgemv(char, char, int, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- sgeqrf(int, int, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
Float/Double versions of QR decomp.
- sger(char, int, int, float, INDArray, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- sgesvd(byte, byte, int, int, INDArray, INDArray, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- sgetrf(int, int, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
Float/Double versions of LU decomp.
- shannonEntropy(SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- shannonEntropy(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Shannon Entropy reduction: -sum(x * log2(x))
- shannonEntropy(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Shannon Entropy reduction: -sum(x * log2(x))
- shannonEntropy(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns non-normalized Shannon entropy along dimension
- shannonEntropy(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
Returns non-normalized Shannon entropy along dimension
- shannonEntropy(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns entropy value for this INDArray along specified dimension(s)
- ShannonEntropy - Class in org.nd4j.linalg.api.ops.impl.reduce.floating
-
Non-normalized Shannon Entropy Op - returns the entropy (information gain, or uncertainty of a random variable).
- ShannonEntropy(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.ShannonEntropy
-
- ShannonEntropy(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.ShannonEntropy
-
- ShannonEntropy() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.ShannonEntropy
-
- ShannonEntropy(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.ShannonEntropy
-
- ShannonEntropy(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.ShannonEntropy
-
- shannonEntropyNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns non-normalized Shannon entropy value for this INDArray
- shannonEntropyNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
Returns non-normalized Shannon entropy value for this INDArray
- shannonEntropyNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns non-normalized Shannon entropy value for this INDArray
- shape(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- shape(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Returns the shape of the specified SDVariable as a 1D SDVariable
- shape(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Returns the shape of the specified SDVariable as a 1D SDVariable
- shape - Variable in class org.nd4j.autodiff.samediff.SDVariable
-
- shape() - Method in class org.nd4j.autodiff.samediff.SDVariable
-
Get the shape of the array as a dynamic SDVariable
- shape(int) - Method in class org.nd4j.graph.FlatArray
-
- shape(int) - Method in class org.nd4j.graph.FlatProperties
-
- shape(int) - Method in class org.nd4j.graph.FlatVariable
-
- SHAPE - Static variable in class org.nd4j.graph.OpType
-
- shape(int) - Method in class org.nd4j.graph.UIVariable
-
- shape() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the shape(dimensions) of this array
- shape - Variable in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- shape() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- shape() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the shape of this ndarray
- shape - Variable in class org.nd4j.linalg.api.ndarray.JvmShapeInfo
-
- Shape - Class in org.nd4j.linalg.api.ops.impl.shape
-
Returns the shape of the input array.
- Shape() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Shape
-
- Shape(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Shape
-
- Shape(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Shape
-
- shape - Variable in class org.nd4j.linalg.api.ops.random.BaseRandomOp
-
- Shape - Class in org.nd4j.linalg.api.shape
-
Encapsulates all shape related logic (vector of 0 dimension is a scalar is equivalent to
a vector of length 1...)
- shape(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get array shape from the buffer, as an int[]
- shape(LongBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- shape(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get array shape from the buffer, as an int[]
- shape(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get array shape from an int[]
- shape(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- shape(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Returns the shape of the ndarray
- shape(INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.Indices
-
Calculate the shape for the given set of indices.
- shape(int[], INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.Indices
-
Calculate the shape for the given set of indices and offsets.
- shape(long[], INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.Indices
-
- shape - Variable in class org.nd4j.linalg.learning.AdaGradUpdater
-
- shape - Variable in class org.nd4j.linalg.learning.legacy.AdaGrad
-
- SHAPE_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.TypeProto.Tensor
-
- SHAPE_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.TypeProto.Tensor
-
- SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteInstanceRequest
-
- SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue.ListValue
-
- SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue
-
- SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
- SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferConstNodeInfo
-
- SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo
-
- SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
-
- SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
- SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorDescription
-
- SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.util.BundleEntryProto
-
- SHAPE_KEY - Static variable in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- SHAPE_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RewriterConfig
-
- shapeAlreadyExistsForVarName(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Returns true if the given vertex id and shape already exist.
- shapeAsByteBuffer() - Method in class org.nd4j.graph.FlatArray
-
- shapeAsByteBuffer() - Method in class org.nd4j.graph.FlatProperties
-
- shapeAsByteBuffer() - Method in class org.nd4j.graph.FlatVariable
-
- shapeAsByteBuffer() - Method in class org.nd4j.graph.UIVariable
-
- shapeDescriptor() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- shapeDescriptor() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns shape descriptor of this ndarray
- ShapeDescriptor - Class in org.nd4j.linalg.api.shape
-
- ShapeDescriptor(int[], int[], long, int, char, long) - Constructor for class org.nd4j.linalg.api.shape.ShapeDescriptor
-
- shapeEquals(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Returns whether 2 shapes are equals by checking for dimension semantics
as well as array equality
- shapeEquals(long[], long[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Returns whether 2 shapes are equals by checking for dimension semantics
as well as array equality
- shapeEqualWithSqueeze(long[], long[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Return true if the shapes are equal after removing any size 1 dimensions
For example, [1,3,4] and [3,4] are considered equal by this method.
- shapeInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.FlatArray
-
- shapeInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.FlatProperties
-
- shapeInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.FlatVariable
-
- shapeInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.UIVariable
-
- shapeInfo - Variable in class org.nd4j.autodiff.samediff.internal.Variable
-
- shapeInfo() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- shapeInfo() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- shapeInfo() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Shape info
- SHAPEINFO_PROVIDER - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- shapeInfoDataBuffer() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- shapeInfoDataBuffer() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- shapeInfoDataBuffer() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- shapeInfoDataBuffer() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
-
- shapeInfoDataBuffer() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Shape info
- shapeInfoJava() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- shapeInfoJava() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- shapeInfoJava() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
This method returns shapeInformation as jvm long array
- shapeInfoLength(int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Return the shape info length
given the rank
- shapeInfoLength(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- ShapeInfoProvider - Interface in org.nd4j.linalg.api.ndarray
-
- shapeInfoProvider - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- shapeInfoProviderClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- shapeInformation - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- shapeInformation - Variable in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- shapeInfoToString() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the shape information debugging
information
- shapeInfoToString() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- shapeInfoToString() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the shape information debugging
information
- shapeIsScalar(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Returns true if this shape is scalar
- shapeIsScalar(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- shapeLength() - Method in class org.nd4j.graph.FlatArray
-
- shapeLength() - Method in class org.nd4j.graph.FlatProperties
-
- shapeLength() - Method in class org.nd4j.graph.FlatVariable
-
- shapeLength() - Method in class org.nd4j.graph.UIVariable
-
- ShapeN - Class in org.nd4j.linalg.api.ops.impl.shape
-
Returns the shape of N input array as N output arrays
- ShapeN() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ShapeN
-
- ShapeN(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ShapeN
-
- shapeOf() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- shapeOf() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- shapeOf(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the shape from
the given int buffer
- shapeOf(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the shape from
the given int buffer
- shapeOf(LongBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- shapeOf(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- shapeOf(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- shapes - Variable in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- shapeToString(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Prints the shape
for this shape information
- shapeToString(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Prints the shape
for this shape information
- shapeToString(LongBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- shapeToStringShort(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- SHARD_ID_FIELD_NUMBER - Static variable in class org.tensorflow.util.BundleEntryProto
-
- SHARDED_FIELD_NUMBER - Static variable in class org.tensorflow.util.SaverDef
-
- SHARED_MEMORY_SIZE_PER_MULTIPROCESSOR_FIELD_NUMBER - Static variable in class tensorflow.DevicePropertiesProtos.DeviceProperties
-
- shiftLeft(DataBuffer, int, int, long) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- shouldSkip(NODE_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
- shouldSkip(OnnxProto3.NodeProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- shouldSkip(NodeDef) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- showDataSet(int, String, DataSet, int, int, int, int) - Method in class org.nd4j.linalg.util.DataSetUtils
-
showDataSet
public void showDataSet( int mtLv, String itemCode, DataSet ds,
int in_Digits, int ot_Digits, int r_End_I, int c_End_I )
Shows content of DataSet.
- showINDArray(int, String, INDArray, int, int, int) - Method in class org.nd4j.linalg.util.DataSetUtils
-
showINDArray
public void showINDArray( int mtLv, String itemCode, INDArray INDA,
int digits, int r_End_I, int c_End_I )
Shows content of INDArray.
Shows first rows and than columns.
- showINDArray(int, String, INDArray, int, int, int, boolean) - Method in class org.nd4j.linalg.util.DataSetUtils
-
showINDArray
public void showINDArray( int mtLv, String itemCode, INDArray INDA,
int digits, int r_End_I, int c_End_I, boolean turned )
Shows content of INDArray.
If turned is false shows first rows and than columns.
If turned is true shows first columns and than rows.
- shuffle() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Shuffle the order of the rows in the DataSet.
- shuffle() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Shuffle the order of the examples in the MultiDataSet.
- shuffle() - Method in class org.nd4j.linalg.dataset.DataSet
-
- shuffle(long) - Method in class org.nd4j.linalg.dataset.DataSet
-
Shuffles the dataset in place, given a seed for a random number generator.
- shuffle() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- shuffle(INDArray, Random, int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
In place shuffle of an ndarray
along a specified set of dimensions
- shuffle(INDArray, int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
In place shuffle of an ndarray
along a specified set of dimensions
- shuffle(Collection<INDArray>, int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Symmetric in place shuffle of an ndarray
along a specified set of dimensions
- shuffle(Collection<INDArray>, Random, int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Symmetric in place shuffle of an ndarray
along a specified set of dimensions
- shuffle(List<INDArray>, Random, List<int[]>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Symmetric in place shuffle of an ndarray
along a variable dimensions
- shuffle(INDArray, Random, int...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
In place shuffle of an ndarray
along a specified set of dimensions
- shuffle(Collection<INDArray>, Random, int...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Symmetric in place shuffle of an ndarray
along a specified set of dimensions.
- shuffle(List<INDArray>, Random, List<int[]>) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Symmetric in place shuffle of an ndarray
along a specified set of dimensions.
- sigmoid(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sigmoid(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN
-
Element-wise sigmoid function: out[i] = 1.0/(1+exp(-in[i]))
- sigmoid(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN
-
Element-wise sigmoid function: out[i] = 1.0/(1+exp(-in[i]))
- Sigmoid - Class in org.nd4j.linalg.api.ops.impl.transforms.strict
-
Sigmoid function
- Sigmoid(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Sigmoid
-
- Sigmoid() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Sigmoid
-
- Sigmoid(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Sigmoid
-
- Sigmoid(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Sigmoid
-
- sigmoid(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sigmoid function
- sigmoid(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sigmoid function
- sigmoidCrossEntropy(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss
-
- sigmoidCrossEntropy(String, SDVariable, SDVariable, SDVariable, LossReduce, double) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss
-
Sigmoid cross entropy: applies the sigmoid activation function on the input logits (input "pre-sigmoid preductions")
and implements the binary cross entropy loss function.
- sigmoidCrossEntropy(String, SDVariable, SDVariable, LossReduce) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss
-
- SigmoidCrossEntropyLoss - Class in org.nd4j.linalg.api.ops.impl.loss
-
Sigmoid cross entropy loss with logits
- SigmoidCrossEntropyLoss(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.SigmoidCrossEntropyLoss
-
- SigmoidCrossEntropyLoss(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.SigmoidCrossEntropyLoss
-
- SigmoidCrossEntropyLossBp - Class in org.nd4j.linalg.api.ops.impl.loss.bp
-
Sigmoid cross entropy loss with logits
- SigmoidCrossEntropyLossBp(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.SigmoidCrossEntropyLossBp
-
- sigmoidDerivative(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sigmoidDerivative(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN
-
Element-wise sigmoid function derivative: dL/dIn given input and dL/dOut
- sigmoidDerivative(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN
-
Element-wise sigmoid function derivative: dL/dIn given input and dL/dOut
- SigmoidDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient
-
- SigmoidDerivative(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SigmoidDerivative
-
- SigmoidDerivative(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SigmoidDerivative
-
- SigmoidDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SigmoidDerivative
-
- SigmoidDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.strict
-
Sigmoid derivative
- SigmoidDerivative(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SigmoidDerivative
-
- SigmoidDerivative(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SigmoidDerivative
-
- SigmoidDerivative(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SigmoidDerivative
-
- SigmoidDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SigmoidDerivative
-
- SigmoidDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SigmoidDerivative
-
- SigmoidDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SigmoidDerivative
-
- sigmoidDerivative(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sigmoid function
- sigmoidDerivative(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sigmoid function
- SigmoidSchedule - Class in org.nd4j.linalg.schedule
-
Sigmoid decay schedule, with 3 parameters: initial value, gamma and stepSize.
value(i) = initialValue * 1.0 / (1 + exp(-gamma * (iter - stepSize)))
where i is the iteration or epoch (depending on the setting)
- SigmoidSchedule(ScheduleType, double, double, int) - Constructor for class org.nd4j.linalg.schedule.SigmoidSchedule
-
- SigmoidUniformInitScheme - Class in org.nd4j.weightinit.impl
-
Initialize the weight to:
range = 4.0 * Math.sqrt(6.0 / (fanIn + fanOut))
U(-range,range)
- SigmoidUniformInitScheme(char, double, double) - Constructor for class org.nd4j.weightinit.impl.SigmoidUniformInitScheme
-
- sign(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sign(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Element-wise sign (signum) function:
out = -1 if in < 0
out = 0 if in = 0
out = 1 if in > 0
- sign(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Element-wise sign (signum) function:
out = -1 if in < 0
out = 0 if in = 0
out = 1 if in > 0
- Sign - Class in org.nd4j.linalg.api.ops.impl.transforms.same
-
Signum function
- Sign(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Sign
-
- Sign() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Sign
-
- Sign(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Sign
-
- Sign(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Sign
-
- sign(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Signum function of this ndarray
- sign(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Signum function of this ndarray
- SIGNATURE_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MetaGraphDef
-
- SIGNATURE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.FunctionDef
-
- SignatureDef - Class in org.tensorflow.framework
-
SignatureDef defines the signature of a computation supported by a TensorFlow
graph.
- SignatureDef.Builder - Class in org.tensorflow.framework
-
SignatureDef defines the signature of a computation supported by a TensorFlow
graph.
- SignatureDefOrBuilder - Interface in org.tensorflow.framework
-
- SIMPLE_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Value
-
- sin(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sin(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Elementwise sine operation: out = sin(x)
- sin(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Elementwise sine operation: out = sin(x)
- Sin - Class in org.nd4j.linalg.api.ops.impl.transforms.strict
-
Log elementwise function
- Sin(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Sin
-
- Sin(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Sin
-
- Sin(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Sin
-
- Sin() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Sin
-
- sin(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sin function
- sin(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sin function
- SINCE_VERSION_FIELD_NUMBER - Static variable in class onnx.OnnxOperatorsProto3.OperatorProto
-
- SingleGenerator() - Constructor for class org.nd4j.linalg.indexing.SpecifiedIndex.SingleGenerator
-
- SingletonDataSetIterator - Class in org.nd4j.linalg.dataset.adapter
-
A very simple adapter class for converting a single DataSet to a DataSetIterator.
- SingletonDataSetIterator(DataSet) - Constructor for class org.nd4j.linalg.dataset.adapter.SingletonDataSetIterator
-
- SingletonMultiDataSetIterator - Class in org.nd4j.linalg.dataset.adapter
-
A very simple adapter class for converting a single MultiDataSet to a MultiDataSetIterator.
- SingletonMultiDataSetIterator(MultiDataSet) - Constructor for class org.nd4j.linalg.dataset.adapter.SingletonMultiDataSetIterator
-
- sinh(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sinh(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Elementwise sinh (hyperbolic sine) operation: out = sinh(x)
- sinh(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Elementwise sinh (hyperbolic sine) operation: out = sinh(x)
- Sinh - Class in org.nd4j.linalg.api.ops.impl.transforms.strict
-
Sinh function
- Sinh(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Sinh
-
- Sinh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Sinh
-
- Sinh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Sinh
-
- Sinh() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Sinh
-
- sinh(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sinh function
- sinh(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sinh function
- size() - Method in class org.nd4j.autodiff.execution.input.Operands
-
This method returns number of values in this entity
- size(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- size(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Returns the size (number of elements, i.e., prod(shape)) of the specified SDVariable as a 0D scalar variable
- size(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Returns the size (number of elements, i.e., prod(shape)) of the specified SDVariable as a 0D scalar variable
- size(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the size of this array
along a particular dimension
- size(int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- size(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the size along a specified dimension
- Size - Class in org.nd4j.linalg.api.ops.impl.shape
-
Returns the size of the input as a rank 0 array
- Size() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Size
-
- Size(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Size
-
- size(IntBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the size of the specified dimension.
- size(LongBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- size(DataBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the size of the specified dimension.
- size(int[], int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- size(long[], int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- size() - Method in interface org.nd4j.linalg.compression.AbstractStorage
-
This method returns number of entries available in storage
- size() - Method in class org.nd4j.linalg.profiler.data.primitives.StackDescriptor
-
- size() - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet
-
- size - Variable in class org.nd4j.list.BaseNDArrayList
-
- size() - Method in class org.nd4j.list.BaseNDArrayList
-
- size() - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
-
- size() - Method in class org.nd4j.list.NDArrayList
-
- SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
- SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorShapeProto.Dim
-
- SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.util.BundleEntryProto
-
- sizeAt(SDVariable, int) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sizeAt(SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- sizeAt(String, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Returns a rank 0 (scalar) variable for the size of the specified dimension.
- SizeAt - Class in org.nd4j.linalg.api.ops.impl.shape
-
Returns the size of the input along given dimension as a rank 0 array
- SizeAt() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SizeAt
-
- SizeAt(INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SizeAt
-
- SizeAt(INDArray, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SizeAt
-
- SizeAt(SameDiff, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SizeAt
-
- sizeForAxes(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Output an int array for a particular dimension
- sizeOfDataType() - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method returns sizeOf(currentDataType), in bytes
- sizeOfDataType(DataType) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method returns size of element for specified dataType, in bytes
- SizeThresholdIntArrayIntIndexAdpater - Class in org.nd4j.imports.descriptors.properties.adapters
-
- SizeThresholdIntArrayIntIndexAdpater() - Constructor for class org.nd4j.imports.descriptors.properties.adapters.SizeThresholdIntArrayIntIndexAdpater
-
- sizeUnsafe(DataBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the size of the specified dimension.
- sizeUnsafe(int[], int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- sizeUnsafe(long[], int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- SKIP_VALUE - Static variable in enum org.tensorflow.framework.ApiDef.Visibility
-
Do not include this op in the generated API.
- skipBuilderValidation(boolean) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder
-
- SkipGramRound - Class in org.nd4j.linalg.api.ops.impl.nlp
-
- SkipGramRound() - Constructor for class org.nd4j.linalg.api.ops.impl.nlp.SkipGramRound
-
- SkipGramRound(int, INDArray, INDArray, INDArray, int[], byte[], double, long, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.nlp.SkipGramRound
-
sg hs round
- SkipGramRound(int, int, INDArray, INDArray, INDArray, INDArray, int, double, long, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.nlp.SkipGramRound
-
sg ns round
- SkipGramRound(INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, int, INDArray, INDArray, INDArray, INDArray, INDArray, boolean, int) - Constructor for class org.nd4j.linalg.api.ops.impl.nlp.SkipGramRound
-
full constructor
- skipOp(NODE_TYPE, SameDiff, Map<String, ATTR_TYPE>, GRAPH_TYPE) - Method in interface org.nd4j.imports.graphmapper.OpImportFilter
-
If true: the op should be skipped for import, and its output variables should not be created.
- sLength() - Method in class org.nd4j.graph.FlatProperties
-
- slice(SDVariable, int[], int[]) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- slice(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- slice(SDVariable, int[], int[]) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- slice(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- slice(String, SDVariable, int[], int[]) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Get a subset of the specified input, by specifying the first element and the size of the array.
For example, if input is:
[a, b, c]
[d, e, f]
then slice(input, begin=[0,1], size=[2,1] will return:
[b]
[e]
Note that for each dimension i, begin[i] + size[i] <= input.size(i)
- slice(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- slice(long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the specified slice of this matrix.
- slice(long, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the slice of this from the specified dimension
- slice(long, int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- slice(long) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- slice(long, int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the specified slice of this ndarray
- slice(long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the specified slice of this ndarray
- Slice - Class in org.nd4j.linalg.api.ops.impl.shape
-
Slice function
- Slice() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Slice
-
- Slice(SameDiff, SDVariable, int[], int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Slice
-
- Slice(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Slice
-
- sliceBp(SDVariable, SDVariable, int[], int[]) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- SliceBp - Class in org.nd4j.linalg.api.ops.impl.shape.bp
-
Slice backprop function
- SliceBp() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.bp.SliceBp
-
- SliceBp(SameDiff, SDVariable, SDVariable, int[], int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.bp.SliceBp
-
- sliceOffsetForTensor(int, INDArray, int[]) - Static method in class org.nd4j.linalg.util.NDArrayMath
-
calculates the offset for a tensor
- sliceOffsetForTensor(int, INDArray, long[]) - Static method in class org.nd4j.linalg.util.NDArrayMath
-
- slices() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Number of slices: aka shape[0]
- slices() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- slices() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the number of slices in this ndarray
- SLICES_FIELD_NUMBER - Static variable in class org.tensorflow.util.BundleEntryProto
-
- sliceVectors(List<INDArray>) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Flattens the array for linear indexing
- sliceVectors(List<INDArray>) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- sliceVectors(List<INDArray>) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- SLOT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeOutput
-
- SLOT_NAME_FIELD_NUMBER - Static variable in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
-
- SLOT_VARIABLE_NODE_ID_FIELD_NUMBER - Static variable in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
-
- SLOT_VARIABLES_FIELD_NUMBER - Static variable in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
- SNAPSHOT_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.VariableDef
-
- snrm2(long, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- snrm2(long, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- SOC_OP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferNodeInfo
-
- softmax(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- softmax(SDVariable, int) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- softmax(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN
-
Softmax activation
- softmax(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN
-
Softmax activation
- SoftMax - Class in org.nd4j.linalg.api.ops.impl.transforms.custom
-
Soft max function
row_maxes is a row vector (max for each row)
row_maxes = rowmaxes(input)
diff = exp(input - max) / diff.rowSums()
Outputs a probability distribution.
- SoftMax() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.SoftMax
-
- SoftMax(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.SoftMax
-
- SoftMax(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.SoftMax
-
- SoftMax(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.SoftMax
-
- SoftMax(SameDiff, SDVariable[], int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.SoftMax
-
- SoftMax(SameDiff, SDVariable[], int, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.SoftMax
-
- SoftMax(INDArray, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.SoftMax
-
- softmax(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- softmax(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- SoftmaxBp - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient
-
Softmax backpropagation op - dL/dIn from in and dL/dOut
- SoftmaxBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftmaxBp
-
- SoftmaxBp(SameDiff, SDVariable, SDVariable, Integer) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftmaxBp
-
- softmaxCrossEntropy(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss
-
- softmaxCrossEntropy(String, SDVariable, SDVariable, SDVariable, LossReduce, double) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss
-
Applies the softmax activation function to the input, then implement multi-class cross entropy:
-sum_classes label[i] * log(p[c])
where
p = softmax(logits)
If
LossReduce.NONE
is used, returned shape is [numExamples] out for [numExamples, numClasses] predicitons/labels;
otherwise, the output is a scalar.
- softmaxCrossEntropy(String, SDVariable, SDVariable, LossReduce) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss
-
- SoftmaxCrossEntropyLoss - Class in org.nd4j.linalg.api.ops.impl.loss
-
Softmax cross entropy loss
- SoftmaxCrossEntropyLoss(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.SoftmaxCrossEntropyLoss
-
- SoftmaxCrossEntropyLoss(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.SoftmaxCrossEntropyLoss
-
- SoftmaxCrossEntropyLossBp - Class in org.nd4j.linalg.api.ops.impl.loss.bp
-
Softmax cross entropy loss
- SoftmaxCrossEntropyLossBp(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.SoftmaxCrossEntropyLossBp
-
- SoftmaxCrossEntropyWithLogitsLoss - Class in org.nd4j.linalg.api.ops.impl.loss
-
Softmax cross entropy loss with Logits
- SoftmaxCrossEntropyWithLogitsLoss(SameDiff, SDVariable, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.SoftmaxCrossEntropyWithLogitsLoss
-
- SoftmaxCrossEntropyWithLogitsLossBp - Class in org.nd4j.linalg.api.ops.impl.loss.bp
-
Softmax cross entropy loss with Logits
- SoftmaxCrossEntropyWithLogitsLossBp(SameDiff, SDVariable, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.SoftmaxCrossEntropyWithLogitsLossBp
-
- softmaxDerivative(SDVariable, SDVariable, Integer) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- softmaxDerivative(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN
-
- softmaxDerivative(String, SDVariable, SDVariable, Integer) - Method in class org.nd4j.autodiff.samediff.ops.SDNN
-
- SoftMaxDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.strict
-
Softmax derivative
- SoftMaxDerivative(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftMaxDerivative
-
- SoftMaxDerivative(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftMaxDerivative
-
- SoftMaxDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftMaxDerivative
-
- SoftMaxDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftMaxDerivative
-
- SoftMaxDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftMaxDerivative
-
- softplus(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- softplus(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN
-
Element-wise softplus function: out = log(exp(x) + 1)
- softplus(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN
-
Element-wise softplus function: out = log(exp(x) + 1)
- SoftPlus - Class in org.nd4j.linalg.api.ops.impl.transforms.strict
-
- SoftPlus(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftPlus
-
- SoftPlus(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftPlus
-
- SoftPlus() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftPlus
-
- SoftPlus(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftPlus
-
- softPlus(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- softPlus(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- softsign(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- softsign(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN
-
Element-wise softsign function: out = x / (abs(x) + 1)
- softsign(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN
-
Element-wise softsign function: out = x / (abs(x) + 1)
- SoftSign - Class in org.nd4j.linalg.api.ops.impl.transforms.strict
-
Softsign element-wise activation function.
- SoftSign(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftSign
-
- SoftSign() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftSign
-
- SoftSign(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftSign
-
- SoftSign(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftSign
-
- softsign(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- softsign(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- softsignDerivative(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- softsignDerivative(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN
-
- softsignDerivative(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN
-
- SoftSignDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient
-
SoftSign derivative.
- SoftSignDerivative(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignDerivative
-
- SoftSignDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignDerivative
-
- SoftSignDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignDerivative
-
- SoftSignDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignDerivative
-
- softsignDerivative(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- softsignDerivative(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- SOFTWARE_TRACE_VALUE - Static variable in enum org.tensorflow.framework.RunOptions.TraceLevel
-
SOFTWARE_TRACE = 1;
- solverAbsoluteAccuracy - Variable in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
-
- sort() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Sort the indexes and the values buffers
- sort(INDArray, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- sort(INDArray, int, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Sort an ndarray along a particular dimension
Note that the input array is modified in-place.
- sort(INDArray, boolean) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- sort(INDArray, boolean, int...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- sortAndBatchByNumLabels() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- sortAndBatchByNumLabels() - Method in class org.nd4j.linalg.dataset.DataSet
-
Sorts the dataset by label:
Splits the data transform such that examples are sorted by their labels.
- sortByLabel() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- sortByLabel() - Method in class org.nd4j.linalg.dataset.DataSet
-
Organizes the dataset to minimize sampling error
while still allowing efficient batching.
- sortColumns(INDArray, int, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Sort (shuffle) the columns of a 2d array according to the value at a specified row.
- sortCooIndices(INDArray) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- sortRows(INDArray, int, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Sort (shuffle) the rows of a 2d array according to the value at a specified column.
- sortWithIndices(INDArray, int, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Sort an ndarray along a particular dimension.
Note that the input array is modified in-place.
- SOURCE_FILES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DebuggedSourceFiles
-
- SOURCE_RANK_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteInstanceResponse
-
- spaceToBatch(SDVariable, int[], int[][]) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- spaceToBatch(SDVariable, int[], int[][]) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN
-
- spaceToBatch(String, SDVariable, int[], int[][]) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN
-
Convolution 2d layer space to batch operation on 4d input.
- SpaceToBatch - Class in org.nd4j.linalg.api.ops.impl.transforms.custom
-
N-dimensional space to batch operation.
- SpaceToBatch() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.SpaceToBatch
-
- SpaceToBatch(SameDiff, SDVariable[], int[], int[][], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.SpaceToBatch
-
- spaceToDepth(SDVariable, int, String) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- spaceToDepth(SDVariable, int, String) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN
-
- spaceToDepth(String, SDVariable, int, String) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN
-
Convolution 2d layer space to depth operation on 4d input.
Increases input channels (reduced spatial dimensions) by rearranging data into a larger channels dimension
Example: if input has shape [mb, 2, 4, 4] and block size is 2, then output size is [mb, 8/(2*2), 2*2, 2*2]
= [mb, 2, 4, 4]
- SpaceToDepth - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
-
This operation takes 4D array in, in either NCHW or NHWC format, and moves data from spatial dimensions (HW)
to channels (C) for given blockSize
- SpaceToDepth() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SpaceToDepth
-
- SpaceToDepth(SameDiff, SDVariable[], int, String) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SpaceToDepth
-
- SpaceToDepth(INDArray, INDArray, int, String) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SpaceToDepth
-
- SPARSE_BLAS_OPS - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- SPARSE_BLAS_WRAPPER_INSTANCE - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- SPARSE_INSTANCE - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- SPARSE_NDARRAY_FACTORY_CLASS - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- SparseBaseLapack - Class in org.nd4j.linalg.api.blas.impl
-
- SparseBaseLapack() - Constructor for class org.nd4j.linalg.api.blas.impl.SparseBaseLapack
-
- SparseBaseLevel - Class in org.nd4j.linalg.api.blas.impl
-
- SparseBaseLevel() - Constructor for class org.nd4j.linalg.api.blas.impl.SparseBaseLevel
-
- SparseBaseLevel1 - Class in org.nd4j.linalg.api.blas.impl
-
- SparseBaseLevel1() - Constructor for class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- SparseBaseLevel2 - Class in org.nd4j.linalg.api.blas.impl
-
- SparseBaseLevel2() - Constructor for class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
-
- SparseBaseLevel3 - Class in org.nd4j.linalg.api.blas.impl
-
- SparseBaseLevel3() - Constructor for class org.nd4j.linalg.api.blas.impl.SparseBaseLevel3
-
- sparseBlasWrapperClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- SparseCOOGemvParameters - Class in org.nd4j.linalg.api.blas.params
-
- SparseCOOGemvParameters(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.blas.params.SparseCOOGemvParameters
-
- SparseDescriptor - Class in org.nd4j.linalg.api.shape
-
- SparseDescriptor(int[], long[], int[], int) - Constructor for class org.nd4j.linalg.api.shape.SparseDescriptor
-
- sparseFactory() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- SparseFormat - Enum in org.nd4j.linalg.api.ndarray
-
- sparseGenerator() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
-
- SPARSEINFO_PROVIDER - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- sparseInfoDataBuffer() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- sparseInfoDataBuffer() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- sparseInfoDataBuffer() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Sparse info
- SparseInfoProvider - Interface in org.nd4j.linalg.api.ndarray
-
- sparseInfoProvider - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- sparseInfoProviderClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- sparseInformation - Variable in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- sparseNDArrayClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- sparseOffsets() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- sparseOffsets() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- sparseOffsets() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- sparseOffsets(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- SparseSingleGenerator() - Constructor for class org.nd4j.linalg.indexing.SpecifiedIndex.SparseSingleGenerator
-
- sparseSoftmaxCrossEntropy(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss
-
- sparseSoftmaxCrossEntropy(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss
-
- SparseSoftmaxCrossEntropyLossWithLogits - Class in org.nd4j.linalg.api.ops.impl.loss
-
Sparse softmax cross entropy loss with logits.
- SparseSoftmaxCrossEntropyLossWithLogits(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.SparseSoftmaxCrossEntropyLossWithLogits
-
- SparseSoftmaxCrossEntropyLossWithLogitsBp - Class in org.nd4j.linalg.api.ops.impl.loss.bp
-
Sparse softmax cross entropy loss with logits.
- SparseSoftmaxCrossEntropyLossWithLogitsBp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.SparseSoftmaxCrossEntropyLossWithLogitsBp
-
- SparseSpecifiedIndexesGenerator(INDArrayIndex[]) - Constructor for class org.nd4j.linalg.indexing.SpecifiedIndex.SparseSpecifiedIndexesGenerator
-
The indexes to generate from
- specialConcat(int, INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Concatneate ndarrays along a dimension
PLEASE NOTE: This method is special for GPU backend, it works on HOST side only.
- specialConcat(int, INDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Concatenate ndarrays along a dimension
PLEASE NOTE: This method is special for GPU backend, it works on HOST side only.
- SpecifiedIndex - Class in org.nd4j.linalg.indexing
-
- SpecifiedIndex(int...) - Constructor for class org.nd4j.linalg.indexing.SpecifiedIndex
-
- SpecifiedIndex(long...) - Constructor for class org.nd4j.linalg.indexing.SpecifiedIndex
-
- SpecifiedIndex.SingleGenerator - Class in org.nd4j.linalg.indexing
-
- SpecifiedIndex.SparseSingleGenerator - Class in org.nd4j.linalg.indexing
-
- SpecifiedIndex.SparseSpecifiedIndexesGenerator - Class in org.nd4j.linalg.indexing
-
A generator for
SpecifiedIndex
for
Itertools.product(Generator)
to iterate
over an array given a set of iterators
- SpecifiedIndex.SpecifiedIndexesGenerator - Class in org.nd4j.linalg.indexing
-
A generator for
SpecifiedIndex
for
Itertools.product(Generator)
to iterate
over an array given a set of iterators
- SpecifiedIndexesGenerator(INDArrayIndex[]) - Constructor for class org.nd4j.linalg.indexing.SpecifiedIndex.SpecifiedIndexesGenerator
-
The indexes to generate from
- spilledAllocationsSize - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- Split - Class in org.nd4j.linalg.api.ops.impl.shape
-
Split op
- Split() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Split
-
- splitTestAndTrain(int, Random) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- splitTestAndTrain(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- splitTestAndTrain(double) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
SplitV the DataSet into two DataSets randomly
- splitTestAndTrain(int, Random) - Method in class org.nd4j.linalg.dataset.DataSet
-
Splits a dataset in to test and train randomly.
- splitTestAndTrain(int) - Method in class org.nd4j.linalg.dataset.DataSet
-
Splits a dataset in to test and train
- splitTestAndTrain(double) - Method in class org.nd4j.linalg.dataset.DataSet
-
- SplitTestAndTrain - Class in org.nd4j.linalg.dataset
-
SplitV test and train
- SplitTestAndTrain(DataSet, DataSet) - Constructor for class org.nd4j.linalg.dataset.SplitTestAndTrain
-
- SplitV - Class in org.nd4j.linalg.api.ops.impl.shape
-
SplitV op
- SplitV() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SplitV
-
- spmv(char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- spmv(char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
-
- spmv(char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
- spotrf(byte, int, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
Float/Double versions of cholesky decomp for positive definite matrices
A = LL*
- spr(char, char, double, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
spr performs a rank-1 update of an n-by-n packed symmetric matrix a:
a := alpha*x*x' + a.
- spr(char, char, double, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
-
- spr(char, char, double, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
spr performs a rank-1 update of an n-by-n packed symmetric matrix a:
a := alpha*x*x' + a.
- spr2(char, char, double, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
?spr2 performs a rank-2 update of an n-by-n packed symmetric matrix a:
a := alpha*x*y' + alpha*y*x' + a.
- spr2(char, char, double, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
-
- spr2(char, char, double, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
?spr2 performs a rank-2 update of an n-by-n packed symmetric matrix a:
a := alpha*x*y' + alpha*y*x' + a.
- sqrt(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sqrt(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Element-wise square root function: out = sqrt(x)
- sqrt(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Element-wise square root function: out = sqrt(x)
- Sqrt - Class in org.nd4j.linalg.api.ops.impl.transforms.floating
-
Sqrt function
- Sqrt(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.floating.Sqrt
-
- Sqrt() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.floating.Sqrt
-
- Sqrt(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.floating.Sqrt
-
- Sqrt(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.floating.Sqrt
-
- sqrt(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sqrt function
- sqrt(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sqrt function
- square(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- square(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Element-wise square function: out = x^2
- square(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Element-wise square function: out = x^2
- Square - Class in org.nd4j.linalg.api.ops.impl.transforms.same
-
Square function (x ^ 2)
- Square(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Square
-
- Square() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Square
-
- Square(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Square
-
- Square(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Square
-
- squaredDifference(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- squaredDifference(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- squaredDifference(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
Squared difference operation: (this - x)^2
- SquaredDifferenceBpOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp
-
Backprop op for squared difference operation, i.e.
- SquaredDifferenceBpOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.SquaredDifferenceBpOp
-
- SquaredDifferenceBpOp(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.SquaredDifferenceBpOp
-
- SquaredDifferenceOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic
-
Squared difference operation, i.e.
- SquaredDifferenceOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.SquaredDifferenceOp
-
- SquaredDifferenceOp(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.SquaredDifferenceOp
-
- SquaredDifferenceOp(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.SquaredDifferenceOp
-
- squaredDistance(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the square of the Euclidean distance.
- squaredDistance(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- squaredDistance(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the square of the Euclidean distance.
- squaredNorm(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- squaredNorm(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- squaredNorm(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- squaredNorm(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- squaredNorm(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- SquaredNorm - Class in org.nd4j.linalg.api.ops.impl.reduce.floating
-
Squared norm (sum_i x_i^2) reduction operation
- SquaredNorm(SameDiff, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.SquaredNorm
-
- SquaredNorm(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.SquaredNorm
-
- SquaredNorm() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.SquaredNorm
-
- squaredNormBp(SDVariable, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- SquaredNormBp - Class in org.nd4j.linalg.api.ops.impl.reduce.bp
-
Backprop op for squared norm (sum_i x_i^2) reduction operation
- SquaredNormBp(SameDiff, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.SquaredNormBp
-
- SquaredNormBp(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.SquaredNormBp
-
- SquaredNormBp() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.SquaredNormBp
-
- squeeze(SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- squeeze(SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- squeeze(String, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Remove a single dimension of size 1.
- Squeeze - Class in org.nd4j.linalg.api.ops.impl.shape
-
- Squeeze() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Squeeze
-
- Squeeze(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Squeeze
-
- squeeze(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Gets rid of any singleton dimensions of the given array
- squeeze(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Gets rid of any singleton dimensions of the given array
- squeeze(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Squeeze : removes a dimension of size 1
- squishToRange(double, double) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- squishToRange(double, double) - Method in class org.nd4j.linalg.dataset.DataSet
-
Squeezes input data to a max and a min
- SRC_DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvBufRequest
-
- srot(long, INDArray, int, INDArray, int, float, float) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- srotg(float, float, float, float) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- sroti(long, INDArray, DataBuffer, INDArray, double, double) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- srotm(long, INDArray, int, INDArray, int, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- srotmg(float, float, float, float, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- sru(SRUConfiguration) - Method in class org.nd4j.autodiff.samediff.ops.SDRNN
-
Simple recurrent unit
- sru(String, SRUConfiguration) - Method in class org.nd4j.autodiff.samediff.ops.SDRNN
-
Simiple recurrent unit
- SRU - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent
-
Simple recurrent unit
- SRU() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRU
-
- SRU(SameDiff, SRUConfiguration) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRU
-
- sruCell(SRUCellConfiguration) - Method in class org.nd4j.autodiff.samediff.ops.SDRNN
-
An sru cell
- sruCell(String, SRUCellConfiguration) - Method in class org.nd4j.autodiff.samediff.ops.SDRNN
-
An sru cell
- SRUCell - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent
-
A simple recurrent unit cell.
- SRUCell() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRUCell
-
- SRUCell(SameDiff, SRUCellConfiguration) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRUCell
-
- SRUCellConfiguration - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent.config
-
- SRUCellConfiguration() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.SRUCellConfiguration
-
- SRUConfiguration - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent.config
-
- SRUConfiguration() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.SRUConfiguration
-
- ssbmv(char, char, int, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- sscal(long, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- sscal(long, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- sspmv(char, char, int, float, INDArray, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- sspr(char, char, int, float, INDArray, int, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- sspr2(char, char, int, float, INDArray, int, INDArray, int, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- sswap(long, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- ssyev(char, char, int, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
Float/Double versions of eigen value/vector calc.
- ssymm(char, char, char, int, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- ssymv(char, char, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- ssyr(char, char, int, float, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- ssyr2(char, char, int, float, INDArray, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- ssyr2k(char, char, char, int, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- ssyrk(char, char, char, int, int, float, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- Stabilize - Class in org.nd4j.linalg.api.ops.impl.transforms.strict
-
Stabilization function, forces values to be within a range
- Stabilize(SameDiff, SDVariable, boolean, double, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Stabilize
-
- Stabilize() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Stabilize
-
- Stabilize(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Stabilize
-
- Stabilize(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Stabilize
-
- stabilize(INDArray, double) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- stabilize(INDArray, double, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Stabilize to be within a range of k
- STABLE_VALUE - Static variable in enum onnx.OnnxOperatorsProto3.OperatorProto.OperatorStatus
-
STABLE = 1;
- StableNumber - Class in org.nd4j.linalg.indexing.functions
-
Returns a stable number based on infinity
or nan
- StableNumber(StableNumber.Type) - Constructor for class org.nd4j.linalg.indexing.functions.StableNumber
-
- StableNumber.Type - Enum in org.nd4j.linalg.indexing.functions
-
- stack(SDVariable[], int) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- stack(int, SDVariable...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- stack(String, int, SDVariable...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Stack a set of N SDVariables of rank X into one rank X+1 variable.
- Stack - Class in org.nd4j.linalg.api.ops.impl.shape
-
Stack operation.
- Stack() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Stack
-
- Stack(INDArray[], INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Stack
-
- Stack(SameDiff, SDVariable[], int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Stack
-
- stack(SDVariable) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray
-
- stack(int, INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Stack a set of N SDVariables of rank X into one rank X+1 variable.
- StackAggregator - Class in org.nd4j.linalg.profiler.data
-
This is utility class, provides stack traces collection, used in OpProfiler, to count events occurrences based on their position in code
- StackAggregator() - Constructor for class org.nd4j.linalg.profiler.data.StackAggregator
-
- StackComparator - Class in org.nd4j.linalg.profiler.data.primitives
-
- StackComparator() - Constructor for class org.nd4j.linalg.profiler.data.primitives.StackComparator
-
- StackDescriptor - Class in org.nd4j.linalg.profiler.data.primitives
-
- StackDescriptor(StackTraceElement[]) - Constructor for class org.nd4j.linalg.profiler.data.primitives.StackDescriptor
-
- StackNode - Class in org.nd4j.linalg.profiler.data.primitives
-
- StackNode(String) - Constructor for class org.nd4j.linalg.profiler.data.primitives.StackNode
-
- stackTrace - Variable in class org.nd4j.linalg.profiler.data.primitives.StackDescriptor
-
- StackTree - Class in org.nd4j.linalg.profiler.data.primitives
-
- StackTree() - Constructor for class org.nd4j.linalg.profiler.data.primitives.StackTree
-
- standardDeviation(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- standardDeviation(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Stardard deviation array reduction operation, optionally along specified dimensions
- standardDeviation(String, SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Stardard deviation array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.
- StandardDeviation - Class in org.nd4j.linalg.api.ops.impl.summarystats
-
Standard deviation (sqrt of variance)
- StandardDeviation(SameDiff, SDVariable, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation
-
- StandardDeviation(INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation
-
- StandardDeviation() - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation
-
- StandardDeviation(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation
-
- StandardDeviation(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation
-
- StandardDeviation(INDArray, INDArray, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation
-
- StandardDeviationBp - Class in org.nd4j.linalg.api.ops.impl.reduce.bp
-
Backprop op for standard deviation reduction operation
- StandardDeviationBp(SameDiff, SDVariable, SDVariable, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.StandardDeviationBp
-
- StandardDeviationBp(INDArray, INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.StandardDeviationBp
-
- StandardDeviationBp() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.StandardDeviationBp
-
- standardize(SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- standardize(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Standardize input variable along given axis
- standardize(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Standardize input variable along given axis
- Standardize - Class in org.nd4j.linalg.api.ops.impl.transforms.custom
-
- Standardize(SameDiff, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Standardize
-
- Standardize(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Standardize
-
- Standardize() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Standardize
-
- standardizeAllInputs() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Apply standardization to all inputs, except the ones individually configured
- standardizeAllOutputs() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Apply standardization to all outputs, except the ones individually configured
- standardizeBp(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- StandardizeBp - Class in org.nd4j.linalg.api.ops.impl.transforms.custom
-
- StandardizeBp(SameDiff, SDVariable, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.StandardizeBp
-
- StandardizeBp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.StandardizeBp
-
- StandardizeBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.StandardizeBp
-
- standardizeInput(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Apply standardization to a specific input, overriding the global input strategy if any
- standardizeOutput(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Apply standardization to a specific output, overriding the global output strategy if any
- StandardizeSerializerStrategy - Class in org.nd4j.linalg.dataset.api.preprocessor.serializer
-
- StandardizeSerializerStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.serializer.StandardizeSerializerStrategy
-
- StandardizeStrategy - Class in org.nd4j.linalg.dataset.api.preprocessor
-
NormalizerStrategy
implementation that will standardize and de-standardize data arrays, based on statistics
of the means and standard deviations of the population
- StandardizeStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.StandardizeStrategy
-
- StandardScaler - Class in org.nd4j.linalg.dataset.api.iterator
-
- StandardScaler() - Constructor for class org.nd4j.linalg.dataset.api.iterator.StandardScaler
-
Deprecated.
- START_EVENTS - Static variable in class org.nd4j.graph.UIInfoType
-
- START_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorSliceProto.Extent
-
- startAVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
-
- startBinlabelsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIHistogram
-
- startBufferVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatArray
-
- startBVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
-
- startControlDepsForOpVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable
-
- startControlDepsForVarVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable
-
- startControlDepsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIOp
-
- startControlDepsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable
-
- startDimensionsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- startDVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
-
- startExtraBoolsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- startExtraIntegerVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- startExtraParamsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- startFlatArray(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatArray
-
- startFlatArrayList(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatArrayList
-
- startFlatConfiguration(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatConfiguration
-
- startFlatDropRequest(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatDropRequest
-
- startFlatGraph(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatGraph
-
- startFlatInferenceRequest(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatInferenceRequest
-
- startFlatNode(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatNode
-
- startFlatProperties(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatProperties
-
- startFlatResponse(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatResponse
-
- startFlatResult(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatResult
-
- startFlatTiming(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatTiming
-
- startFlatVariable(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatVariable
-
- startFrameIteration(FlatBufferBuilder) - Static method in class org.nd4j.graph.FrameIteration
-
- startGpuMemoryVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIHardwareState
-
- startInputPairedVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- startInputsForOpVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable
-
- startInputsPairVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIGraphStructure
-
- startInputsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIGraphStructure
-
- startInputsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIOp
-
- startInputVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- startIntPair(FlatBufferBuilder) - Static method in class org.nd4j.graph.IntPair
-
- startIntTriple(FlatBufferBuilder) - Static method in class org.nd4j.graph.IntTriple
-
- startIVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
-
- startListVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatArrayList
-
- startLongPair(FlatBufferBuilder) - Static method in class org.nd4j.graph.LongPair
-
- startLongTriple(FlatBufferBuilder) - Static method in class org.nd4j.graph.LongTriple
-
- startLossVariablesVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph
-
- startLVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
-
- startNodesVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph
-
- startOpsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIGraphStructure
-
- startOutputNamesVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- startOutputsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph
-
- startOutputsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIGraphStructure
-
- startOutputsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIOp
-
- startOutputTypesVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- startOutputVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- startPlaceholdersVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph
-
- startPropertiesVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- startShapeVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatArray
-
- startShapeVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
-
- startShapeVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable
-
- startShapeVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable
-
- startSVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
-
- startTimingVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatResult
-
- startUIAddName(FlatBufferBuilder) - Static method in class org.nd4j.graph.UIAddName
-
- startUIEvent(FlatBufferBuilder) - Static method in class org.nd4j.graph.UIEvent
-
- startUIGraphStructure(FlatBufferBuilder) - Static method in class org.nd4j.graph.UIGraphStructure
-
- startUIHardwareState(FlatBufferBuilder) - Static method in class org.nd4j.graph.UIHardwareState
-
- startUIHistogram(FlatBufferBuilder) - Static method in class org.nd4j.graph.UIHistogram
-
- startUIOp(FlatBufferBuilder) - Static method in class org.nd4j.graph.UIOp
-
- startUIStaticInfoRecord(FlatBufferBuilder) - Static method in class org.nd4j.graph.UIStaticInfoRecord
-
- startUISummaryStatistics(FlatBufferBuilder) - Static method in class org.nd4j.graph.UISummaryStatistics
-
- startUISystemInfo(FlatBufferBuilder) - Static method in class org.nd4j.graph.UISystemInfo
-
- startUIVariable(FlatBufferBuilder) - Static method in class org.nd4j.graph.UIVariable
-
- startVariablesVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph
-
- startVariablesVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatInferenceRequest
-
- startVariablesVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatResult
-
- startVariablesVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIGraphStructure
-
- stash - Variable in class org.nd4j.linalg.memory.stash.BasicStash
-
- Stash<T> - Interface in org.nd4j.linalg.memory.stash
-
This interface describe short-living storage, with pre-defined life time.
- StashManager - Interface in org.nd4j.linalg.memory.stash
-
This interface describes factory/holder for manipulating Stash objects
- states - Variable in class org.nd4j.autodiff.samediff.flow.FlowPath
-
- stateSize(long) - Method in class org.nd4j.linalg.learning.config.AdaDelta
-
- stateSize(long) - Method in class org.nd4j.linalg.learning.config.AdaGrad
-
- stateSize(long) - Method in class org.nd4j.linalg.learning.config.Adam
-
- stateSize(long) - Method in class org.nd4j.linalg.learning.config.AdaMax
-
- stateSize(long) - Method in class org.nd4j.linalg.learning.config.AMSGrad
-
- stateSize(long) - Method in interface org.nd4j.linalg.learning.config.IUpdater
-
Determine the updater state size for the given number of parameters.
- stateSize(long) - Method in class org.nd4j.linalg.learning.config.Nadam
-
- stateSize(long) - Method in class org.nd4j.linalg.learning.config.Nesterovs
-
- stateSize(long) - Method in class org.nd4j.linalg.learning.config.NoOp
-
- stateSize(long) - Method in class org.nd4j.linalg.learning.config.RmsProp
-
- stateSize(long) - Method in class org.nd4j.linalg.learning.config.Sgd
-
- stateSizeForInputSize(int) - Method in class org.nd4j.linalg.learning.legacy.AdaGrad
-
- StaticInfo() - Constructor for class org.nd4j.graph.ui.LogFileWriter.StaticInfo
-
- stats() - Method in class org.nd4j.evaluation.classification.Evaluation
-
Report the classification statistics as a String
- stats(boolean) - Method in class org.nd4j.evaluation.classification.Evaluation
-
Method to obtain the classification report as a String
- stats(boolean, boolean) - Method in class org.nd4j.evaluation.classification.Evaluation
-
Method to obtain the classification report as a String
- stats() - Method in class org.nd4j.evaluation.classification.EvaluationBinary
-
Get a String representation of the EvaluationBinary class, using the default precision
- stats(int) - Method in class org.nd4j.evaluation.classification.EvaluationBinary
-
Get a String representation of the EvaluationBinary class, using the specified precision
- stats() - Method in class org.nd4j.evaluation.classification.EvaluationCalibration
-
- stats() - Method in class org.nd4j.evaluation.classification.ROC
-
- stats() - Method in class org.nd4j.evaluation.classification.ROCBinary
-
- stats(int) - Method in class org.nd4j.evaluation.classification.ROCBinary
-
- stats() - Method in class org.nd4j.evaluation.classification.ROCMultiClass
-
- stats(int) - Method in class org.nd4j.evaluation.classification.ROCMultiClass
-
- stats() - Method in interface org.nd4j.evaluation.IEvaluation
-
- stats() - Method in class org.nd4j.evaluation.regression.RegressionEvaluation
-
- status() - Method in class org.nd4j.graph.FlatResponse
-
- STATUS_CODE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunGraphResponse
-
- STATUS_CODE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunStepResponse
-
- STATUS_ERROR_MESSAGE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunGraphResponse
-
- STATUS_ERROR_MESSAGE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunStepResponse
-
- STATUS_FIELD_NUMBER - Static variable in class onnx.OnnxOperatorsProto3.OperatorProto
-
- stbmv(char, char, char, char, int, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- stbsv(char, char, char, char, int, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- std(SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- std(boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- std(String, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- std(String, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
Stardard deviation array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.
- std(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Standard deviation of an ndarray along a dimension
- std(boolean, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- std(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- std(boolean, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- std(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Standard deviation of an INDArray along one or more dimensions
- std(boolean, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Standard deviation of an ndarray along a dimension
- std(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- std(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- stdBp(SDVariable, SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- stdev() - Method in class org.nd4j.graph.UISummaryStatistics
-
- stdNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- stdNumber(boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- stdNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- stdNumber(boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- stdNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Calculate the standard deviation for the entire array
- stdNumber(boolean) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Calculate the standard deviation for the entire array, specifying whether it is bias corrected or not
- step(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- step(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Elementwise step function:
out(x) = 1 if x >= cutoff
out(x) = 0 otherwise
- step(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
-
Elementwise step function:
out(x) = 1 if x >= cutoff
out(x) = 0 otherwise
- Step - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Unit step function.
- Step(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.Step
-
- Step() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.Step
-
- Step(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.Step
-
- Step(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.Step
-
- Step(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.Step
-
- Step(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.Step
-
- step(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- step(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- STEP_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.LoggingResponse
-
- STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CleanupGraphRequest
-
- STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.LabeledStepStats
-
- STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvBufRequest
-
- STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvTensorRequest
-
- STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunGraphRequest
-
- STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogRawAllocation
-
- STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogRawDeallocation
-
- STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogStep
-
- STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogTensorAllocation
-
- STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogTensorOutput
-
- STEP_SEQUENCE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.GetStepSequenceResponse
-
- STEP_STATS_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.LabeledStepStats
-
- STEP_STATS_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunGraphResponse
-
- STEP_STATS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RunMetadata
-
- StepSchedule - Class in org.nd4j.linalg.schedule
-
Step decay schedule, with 3 parameters: initial value, gamma and step.
value(i) = initialValue * gamma^( floor(iter/step) )
where i is the iteration or epoch (depending on the setting)
- StepSchedule(ScheduleType, double, double, double) - Constructor for class org.nd4j.linalg.schedule.StepSchedule
-
- stepsCount - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- StepSequence - Class in org.tensorflow.distruntime
-
Protobuf type tensorflow.StepSequence
- StepSequence.Builder - Class in org.tensorflow.distruntime
-
Protobuf type tensorflow.StepSequence
- StepSequenceOrBuilder - Interface in org.tensorflow.distruntime
-
- stepsNumber - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- StepStats - Class in org.tensorflow.framework
-
Protobuf type tensorflow.StepStats
- StepStats.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.StepStats
- StepStatsOrBuilder - Interface in org.tensorflow.framework
-
- StepStatsProtos - Class in org.tensorflow.framework
-
- StopGradient - Class in org.nd4j.linalg.api.ops.impl.controlflow.compat
-
- StopGradient() - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.StopGradient
-
- store(T, INDArray) - Method in interface org.nd4j.linalg.compression.AbstractStorage
-
Store object into storage
- store(T, float[]) - Method in interface org.nd4j.linalg.compression.AbstractStorage
-
Store object into storage
- store(T, double[]) - Method in interface org.nd4j.linalg.compression.AbstractStorage
-
Store object into storage
- STORE_ERRORS_IN_RESPONSE_BODY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunGraphRequest
-
- STORE_ERRORS_IN_RESPONSE_BODY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunStepRequest
-
- storeAndAllocateNewArray() - Method in class org.nd4j.autodiff.samediff.SDVariable
-
Allocate and return a new array
based on the vertex id and weight initialization.
- storeIfAbsent(T, INDArray) - Method in interface org.nd4j.linalg.compression.AbstractStorage
-
Store object into storage, if it doesn't exist
- stpmv(char, char, char, char, int, INDArray, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- stpsv(char, char, char, char, int, INDArray, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- strategy - Variable in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer
-
- strategy - Variable in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
- STRENGTH_FIELD_NUMBER - Static variable in class org.tensorflow.framework.InterconnectLink
-
- STRICT - Static variable in class org.nd4j.graph.ExecutionMode
-
- stride(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- stride() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the stride(indices along the linear index for which each slice is accessed) of this array
- stride - Variable in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- stride(int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- stride() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- stride(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Calculate the stride along a particular dimension
- stride() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the stride of this ndarray
- stride - Variable in class org.nd4j.linalg.api.ndarray.JvmShapeInfo
-
- stride(IntBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the stride of the specified dimension
- stride(LongBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- stride(DataBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the stride of the specified dimension
- stride(int[], int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- stride(long[], int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- stride(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the stride for the given
shape information buffer
- stride(LongBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- stride(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the shape from
the given int buffer
- stride(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- stride(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- stride() - Method in interface org.nd4j.linalg.indexing.INDArrayIndex
-
The stride for the index (most of the time will be 1)
- stride(INDArray, INDArrayIndex[], int...) - Static method in class org.nd4j.linalg.indexing.Indices
-
Return the stride to be used for indexing
- stride - Variable in class org.nd4j.linalg.indexing.IntervalIndex
-
- stride() - Method in class org.nd4j.linalg.indexing.IntervalIndex
-
- stride() - Method in class org.nd4j.linalg.indexing.NDArrayIndex
-
- stride() - Method in class org.nd4j.linalg.indexing.NewAxis
-
- stride() - Method in class org.nd4j.linalg.indexing.PointIndex
-
- stride() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
-
- strideArr(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get array shape from the buffer, as an int[]
- strideDescendingCAscendingF(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Check if strides are in order suitable for non-strided mmul etc.
- stridedSlice(SDVariable, int[], int[], int[]) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- stridedSlice(SDVariable, long[], long[], long[]) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- stridedSlice(SDVariable, int[], int[], int[], int, int, int, int, int) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- stridedSlice(SDVariable, long[], long[], long[], int, int, int, int, int) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- stridedSlice(SDVariable, int[], int[], int[]) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- stridedSlice(String, SDVariable, int[], int[], int[]) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- stridedSlice(String, SDVariable, int[], int[], int[], int, int, int, int, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- stridedSlice(SDVariable, long[], long[], long[]) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- stridedSlice(String, SDVariable, long[], long[], long[]) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Get a subset of the specified input, by specifying the first element, last element, and the strides.
For example, if input is:
[a, b, c]
[d, e, f]
[g, h, i]
then stridedSlice(input, begin=[0,1], end=[2,2], strides=[2,1]) will return:
[b, c]
[h, i]
- stridedSlice(String, SDVariable, long[], long[], long[], int, int, int, int, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- stridedSlice(SDVariable, int[], int[], int[], int, int, int, int, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- stridedSlice(SDVariable, long[], long[], long[], int, int, int, int, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- StridedSlice - Class in org.nd4j.linalg.api.ops.impl.shape
-
Strided Slice function
- StridedSlice() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.StridedSlice
-
- StridedSlice(SameDiff, SDVariable, int[], int[], int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.StridedSlice
-
- StridedSlice(SameDiff, SDVariable, long[], long[], long[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.StridedSlice
-
- StridedSlice(SameDiff, SDVariable, long[], long[], long[], int, int, int, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.StridedSlice
-
- StridedSlice(SameDiff, SDVariable, int[], int[], int[], int, int, int, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.StridedSlice
-
- stridedSliceBp(SDVariable, SDVariable, long[], long[], long[], int, int, int, int, int) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- stridedSliceBp(SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, int, int, int, int, int) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- StridedSliceBp - Class in org.nd4j.linalg.api.ops.impl.shape.bp
-
Strided Slice backprop function
- StridedSliceBp() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.bp.StridedSliceBp
-
- StridedSliceBp(SameDiff, SDVariable, SDVariable, long[], long[], long[], int, int, int, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.bp.StridedSliceBp
-
- StridedSliceBp(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, int, int, int, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.bp.StridedSliceBp
-
- strideOf() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- strideOf() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- strides(char, NDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.Indices
-
Calculate the strides based on the given indices
- stridesOf(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- stridesOf(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- strideUnsafe(DataBuffer, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the stride of the specified dimension, without any input validation
- strideUnsafe(int[], int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- strideUnsafe(long[], int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- STRING_DATA_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.TensorProto
-
- STRING_DATA_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.TensorProto
-
- STRING_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto
-
- STRING_VALUE - Static variable in enum onnx.OnnxMlProto3.AttributeProto.AttributeType
-
STRING = 3;
- STRING_VALUE - Static variable in enum onnx.OnnxMlProto3.TensorProto.DataType
-
string
- STRING_VALUE - Static variable in enum onnx.OnnxProto3.AttributeProto.AttributeType
-
STRING = 3;
- STRING_VALUE - Static variable in enum onnx.OnnxProto3.TensorProto.DataType
-
string
- StringAggregator - Class in org.nd4j.linalg.profiler.data
-
- StringAggregator() - Constructor for class org.nd4j.linalg.profiler.data.StringAggregator
-
- stringBuffer(FlatBufferBuilder, DataBuffer) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- StringCounter - Class in org.nd4j.linalg.profiler.data
-
Simple key-value counter
- StringCounter() - Constructor for class org.nd4j.linalg.profiler.data.StringCounter
-
- StringEqualsAdapter - Class in org.nd4j.imports.descriptors.properties.adapters
-
Comparison for whether a string equals a target string
returning a boolean
- StringEqualsAdapter() - Constructor for class org.nd4j.imports.descriptors.properties.adapters.StringEqualsAdapter
-
- StringNotEqualsAdapter - Class in org.nd4j.imports.descriptors.properties.adapters
-
Comparison for whether a string not equals a target string
returning a boolean
- StringNotEqualsAdapter() - Constructor for class org.nd4j.imports.descriptors.properties.adapters.StringNotEqualsAdapter
-
- STRINGS_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.AttributeProto
-
- STRINGS_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.AttributeProto
-
- STRINGS_VALUE - Static variable in enum onnx.OnnxMlProto3.AttributeProto.AttributeType
-
STRINGS = 8;
- STRINGS_VALUE - Static variable in enum onnx.OnnxProto3.AttributeProto.AttributeType
-
STRINGS = 8;
- STRINGULAR - Static variable in class org.nd4j.graph.InputType
-
- STRINGULAR_SET - Static variable in class org.nd4j.graph.InputType
-
- stripOnes(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Reshapes an ndarray to remove leading 1s
- STRIPPED_DEFAULT_ATTRS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
- STRIPPED_OP_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
- strmm(char, char, char, char, char, int, int, float, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- strmv(char, char, char, char, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- strsm(char, char, char, char, char, int, int, float, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- strsv(char, char, char, char, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- sub(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sub(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sub(double) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- sub(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
Scalar subtraction: out = this - scalar
Output variable has the same shape as the input variable
- sub(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- sub(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
Subtraction operation: elementwise this - x
If this and x variables have equal shape, the output shape is the same as the inputs.
Supports broadcasting: if this and x have different shapes and are broadcastable, the output shape is broadcast.
- sub(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- sub(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
copy subtraction of two matrices
- sub(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
copy subtraction of two matrices
- sub(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- sub(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- sub(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- sub(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- sub(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- sub(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Scalar subtraction (copied)
- sub(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- sub(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
copy subtraction of two NDArrays
- sub(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
copy subtraction of two NDArrays
- sub(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast
-
Broadcast subtraction op.
- sub2Ind(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Convert the given index (such as 1,1)
to a linear index
- subArray(long[], int[], int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- subArray(long[], int[], int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- subArray(long[], int[], int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- subArray(long[], int[], int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
-
- subArray(long[], int[], int[]) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- subBp(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- SubBpOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp
-
Division backprop operation.
- SubBpOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.SubBpOp
-
- SubBpOp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.SubBpOp
-
- subColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place addition of a column vector
- subColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- subColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Subtraction of a column vector (copy)
- SUBDIV_OFFSET_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteInstanceRequest
-
- subgraph - Variable in class org.nd4j.autodiff.samediff.internal.AbstractSession
-
Contains variables we *might* need to execute in process of getting outputs we want.
- SubGraph - Class in org.nd4j.autodiff.samediff.transform
-
- SubGraph() - Constructor for class org.nd4j.autodiff.samediff.transform.SubGraph
-
- SubGraphPredicate - Class in org.nd4j.autodiff.samediff.transform
-
SubGraphPredicate defines a subgraph - a set of connected functions that are part of a SameDiff instance.
- SubGraphPredicate(OpPredicate) - Constructor for class org.nd4j.autodiff.samediff.transform.SubGraphPredicate
-
- SubGraphProcessor - Interface in org.nd4j.autodiff.samediff.transform
-
SubGraphProcessor is used in
GraphTransformUtil
to define how a subgraph should be modified or replaced.
- subi(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- subi(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- subi(double) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- subi(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- subi(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- subi(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- subi(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- subi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
in place subtraction of two matrices
- subi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
in place subtraction of two matrices
- subi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- subi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- subi(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- subi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- subi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- subi(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place scalar subtraction
- subi(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place subtraction of this ndarray
- subi(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
in place (element wise) subtraction of two NDArrays
- subi(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
in place (element wise) subtraction of two NDArrays
- subiColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place addition of a column vector
- subiColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- subiColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place subtraction of a column vector
- subiRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place addition of a column vector
- subiRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- subiRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place subtraction of a row vector
- subList(int, int) - Method in class org.nd4j.list.NDArrayList
-
- subModules() - Method in class org.nd4j.linalg.api.ops.BaseModule
-
- subModules() - Method in interface org.nd4j.linalg.api.ops.Module
-
- SubOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic
-
Subtraction operation
- SubOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.SubOp
-
- SubOp(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.SubOp
-
- SubOp(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.SubOp
-
- subRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place addition of a column vector
- subRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- subRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Subtraction of a row vector (copy)
- SufficientStatistics - Class in org.nd4j.linalg.api.ops.impl.reduce
-
Sufficient statistics: returns 3 or 4 output arrays:
If shift is not provided: count, sum of elements, sum of squares
If shift is provided: count, sum of elements, sum of squares, shift
- SufficientStatistics() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.SufficientStatistics
-
- SufficientStatistics(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.SufficientStatistics
-
- sum(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sum(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Sum array reduction operation, optionally along specified dimensions
- sum(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Sum array reduction operation, optionally along specified dimensions
- sum(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
Sum array reduction operation, optionally along specified dimensions.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.
- sum(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
-
- sum(int...) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- sum(boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- sum(String, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- sum(String, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
Sum array reduction operation, optionally along specified dimensions.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.
- sum(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the sum along the specified dimension(s) of this ndarray
- sum(boolean, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the sum along the last dimension of this ndarray
- sum(INDArray, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- sum(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- sum(boolean, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- sum(INDArray, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- sum(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the sum along the last dimension of this ndarray
- sum(boolean, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- sum(INDArray, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the sum along the last dimension of this ndarray
- Sum - Class in org.nd4j.linalg.api.ops.impl.reduce.same
-
Sum the components
- Sum(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Sum
-
- Sum(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Sum
-
- Sum() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Sum
-
- Sum(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Sum
-
- Sum(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Sum
-
- Sum(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Sum
-
- sum(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- sum(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- SUM_FIELD_NUMBER - Static variable in class org.tensorflow.framework.HistogramProto
-
- SUM_SQUARES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.HistogramProto
-
- sumBp(SDVariable, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- SumBp - Class in org.nd4j.linalg.api.ops.impl.reduce.bp
-
Backprop op for Sum reduction operation
- SumBp(SameDiff, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.SumBp
-
- SumBp(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.SumBp
-
- SumBp() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.SumBp
-
- summary() - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Generate and return a String representation of the current SameDiff instance
Reports variables, ops, SameDiff function instances, and (where possible) array shapes.
For ops, the input and output variables are reported.
For variables, the ops that they are inputs to - or outputs of - are also reported
- Summary - Class in org.tensorflow.framework
-
A Summary is a set of named values to be displayed by the
visualizer.
- Summary.Audio - Class in org.tensorflow.framework
-
Protobuf type tensorflow.Summary.Audio
- Summary.Audio.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.Summary.Audio
- Summary.AudioOrBuilder - Interface in org.tensorflow.framework
-
- Summary.Builder - Class in org.tensorflow.framework
-
A Summary is a set of named values to be displayed by the
visualizer.
- Summary.Image - Class in org.tensorflow.framework
-
Protobuf type tensorflow.Summary.Image
- Summary.Image.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.Summary.Image
- Summary.ImageOrBuilder - Interface in org.tensorflow.framework
-
- Summary.Value - Class in org.tensorflow.framework
-
Protobuf type tensorflow.Summary.Value
- Summary.Value.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.Summary.Value
- Summary.Value.ValueCase - Enum in org.tensorflow.framework
-
- Summary.ValueOrBuilder - Interface in org.tensorflow.framework
-
- SUMMARY_DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.SummaryMetadata
-
- SUMMARY_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef
-
- SUMMARY_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef
-
- SUMMARY_STATISTICS - Static variable in class org.nd4j.graph.UIEventType
-
- SummaryDescription - Class in org.tensorflow.framework
-
Metadata associated with a series of Summary data
- SummaryDescription.Builder - Class in org.tensorflow.framework
-
Metadata associated with a series of Summary data
- SummaryDescriptionOrBuilder - Interface in org.tensorflow.framework
-
- SummaryMetadata - Class in org.tensorflow.framework
-
A SummaryMetadata encapsulates information on which plugins are able to make
use of a certain summary value.
- SummaryMetadata.Builder - Class in org.tensorflow.framework
-
A SummaryMetadata encapsulates information on which plugins are able to make
use of a certain summary value.
- SummaryMetadata.PluginData - Class in org.tensorflow.framework
-
Protobuf type tensorflow.SummaryMetadata.PluginData
- SummaryMetadata.PluginData.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.SummaryMetadata.PluginData
- SummaryMetadata.PluginDataOrBuilder - Interface in org.tensorflow.framework
-
- SummaryMetadataOrBuilder - Interface in org.tensorflow.framework
-
- SummaryOrBuilder - Interface in org.tensorflow.framework
-
- SummaryProtos - Class in org.tensorflow.framework
-
- SUMMARYSTATS - Static variable in class org.nd4j.graph.OpType
-
- sumNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- sumNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- sumNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Sum the entire array
- supportsDataBufferL1Ops() - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- supportsDataBufferL1Ops() - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- supportsDataBufferL1Ops() - Method in interface org.nd4j.linalg.api.blas.Level1
-
Can we use the axpy and copy methods that take a DataBuffer instead of an INDArray with this backend?
- Svd - Class in org.nd4j.linalg.api.ops.impl.transforms.custom
-
SVD - singular value decomposition
- Svd() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Svd
-
- Svd(SameDiff, SDVariable, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Svd
-
- Svd(SameDiff, SDVariable, boolean, boolean, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Svd
-
- swap(INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
swaps a vector with another vector.
- swap(INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- swap(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
swaps a vector with another vector.
- swap(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- swap(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- swap(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Compute x <-> y (swap two matrices)
- SWAP_MEMORY_FIELD_NUMBER - Static variable in class org.tensorflow.framework.WhileContextDef
-
- swapAxes(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Mainly here for people coming from numpy.
- swapAxes(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- swapAxes(int, int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Mainly here for people coming from numpy.
- SWAPPING_HEURISTICS_VALUE - Static variable in enum org.tensorflow.framework.RewriterConfig.MemOptType
-
Swapping heuristic will move a tensor from the GPU to the CPU and move
it back when needed to reduce peak memory usage.
- swish(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- swish(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN
-
- swish(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN
-
- Swish - Class in org.nd4j.linalg.api.ops.impl.transforms.strict
-
Swish function
- Swish(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Swish
-
- Swish() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Swish
-
- Swish(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Swish
-
- Swish(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Swish
-
- swishDerivative(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- SwishDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.strict
-
Swish derivative
- SwishDerivative(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SwishDerivative
-
- SwishDerivative(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SwishDerivative
-
- SwishDerivative(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SwishDerivative
-
- SwishDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SwishDerivative
-
- SwishDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SwishDerivative
-
- SwishDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SwishDerivative
-
- Switch - Class in org.nd4j.linalg.api.ops.impl.controlflow.compat
-
Switch op forwards input to one of two outputs based on the value of a predicate
- Switch(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.Switch
-
- Switch() - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.Switch
-
- switchOp(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- syev(char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- syev(char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLapack
-
- syev(char, char, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Lapack
-
Caclulate the eigenvalues and vectors of a symmetric matrix.
- syev(char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- syev(char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- syev(char, char, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- syevd(char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- syevd(char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- syevd(char, char, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- syevr(char, char, char, INDArray, float, float, int, int, Number, INDArray, INDArray, int[]) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- syevr(char, char, char, INDArray, double, double, int, int, double, INDArray, INDArray, int[]) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- syevr(char, char, char, INDArray, float, float, int, int, float, INDArray, INDArray, int[]) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- syevr(char, char, char, INDArray, double, double, int, int, double, INDArray, INDArray, int[]) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- syevr(char, char, char, INDArray, float, float, int, int, float, INDArray, INDArray, int[]) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- syevr(char, char, char, INDArray, float, float, int, int, Number, INDArray, INDArray, int[]) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- syevr(char, char, char, INDArray, double, double, int, int, double, INDArray, INDArray, int[]) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- syevr(char, char, char, INDArray, float, float, int, int, float, INDArray, INDArray, int[]) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- syevr(char, char, char, INDArray, float, float, int, int, Number, INDArray, INDArray, int[]) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- syevx(char, char, char, INDArray, double, double, int, int, double, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- syevx(char, char, char, INDArray, float, float, int, int, float, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- syevx(char, char, char, INDArray, double, double, int, int, double, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- syevx(char, char, char, INDArray, float, float, int, int, float, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- syevx(char, char, char, INDArray, double, double, int, int, double, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- syevx(char, char, char, INDArray, float, float, int, int, float, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- sygvd(int, char, char, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- sygvd(int, char, char, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- sygvd(int, char, char, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- symm(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
her2k performs a rank-2k update of an n-by-n Hermitian matrix c, that is, one of the following operations:
c := alpha*a*conjg(b') + conjg(alpha)*b*conjg(a') + beta*c, for trans = 'N'or'n'
c := alpha*conjg(b')*a + conjg(alpha)*conjg(a')*b + beta*c, for trans = 'C'or'c'
where c is an n-by-n Hermitian matrix;
a and b are n-by-k matrices if trans = 'N'or'n',
a and b are k-by-n matrices if trans = 'C'or'c'.
- symm(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel3
-
- symm(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level3
-
her2k performs a rank-2k update of an n-by-n Hermitian matrix c, that is, one of the following operations:
c := alpha*a*conjg(b') + conjg(alpha)*b*conjg(a') + beta*c, for trans = 'N'or'n'
c := alpha*conjg(b')*a + conjg(alpha)*conjg(a')*b + beta*c, for trans = 'C'or'c'
where c is an n-by-n Hermitian matrix;
a and b are n-by-k matrices if trans = 'N'or'n',
a and b are k-by-n matrices if trans = 'C'or'c'.
- symmetricGeneralizedEigenvalues(INDArray) - Static method in class org.nd4j.linalg.eigen.Eigen
-
Compute generalized eigenvalues of the problem A x = L x.
- symmetricGeneralizedEigenvalues(INDArray, boolean) - Static method in class org.nd4j.linalg.eigen.Eigen
-
Compute generalized eigenvalues of the problem A x = L x.
- symmetricGeneralizedEigenvalues(INDArray, INDArray) - Static method in class org.nd4j.linalg.eigen.Eigen
-
Compute generalized eigenvalues of the problem A x = L B x.
- symmetricGeneralizedEigenvalues(INDArray, INDArray, boolean) - Static method in class org.nd4j.linalg.eigen.Eigen
-
Compute generalized eigenvalues of the problem A x = L B x.
- symv(char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
symv computes a matrix-vector product for a symmetric matrix:
y := alpha*a*x + beta*y.
- symv(char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
-
- symv(char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
symv computes a matrix-vector product for a symmetric matrix:
y := alpha*a*x + beta*y.
- syr(char, char, int, double, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
syr performs a rank-1 update of an n-by-n symmetric matrix a:
a := alpha*x*x' + a.
- syr(char, char, int, double, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
-
- syr(char, char, int, double, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
syr performs a rank-1 update of an n-by-n symmetric matrix a:
a := alpha*x*x' + a.
- syr2(char, char, double, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- syr2(char, char, double, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
-
- syr2(char, char, double, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
- syr2k(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
yr2k performs a rank-2k update of an n-by-n symmetric matrix c, that is, one of the following operations:
c := alpha*a*b' + alpha*b*a' + beta*c for trans = 'N'or'n'
c := alpha*a'*b + alpha*b'*a + beta*c for trans = 'T'or't',
where c is an n-by-n symmetric matrix;
a and b are n-by-k matrices, if trans = 'N'or'n',
a and b are k-by-n matrices, if trans = 'T'or't'.
- syr2k(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel3
-
- syr2k(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level3
-
yr2k performs a rank-2k update of an n-by-n symmetric matrix c, that is, one of the following operations:
c := alpha*a*b' + alpha*b*a' + beta*c for trans = 'N'or'n'
c := alpha*a'*b + alpha*b'*a + beta*c for trans = 'T'or't',
where c is an n-by-n symmetric matrix;
a and b are n-by-k matrices, if trans = 'N'or'n',
a and b are k-by-n matrices, if trans = 'T'or't'.
- syrk(char, char, char, double, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
syrk performs a rank-n update of an n-by-n symmetric matrix c, that is, one of the following operations:
c := alpha*a*a' + beta*c for trans = 'N'or'n'
c := alpha*a'*a + beta*c for trans = 'T'or't','C'or'c',
where c is an n-by-n symmetric matrix;
a is an n-by-k matrix, if trans = 'N'or'n',
a is a k-by-n matrix, if trans = 'T'or't','C'or'c'.
- syrk(char, char, char, double, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel3
-
- syrk(char, char, char, double, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level3
-
syrk performs a rank-n update of an n-by-n symmetric matrix c, that is, one of the following operations:
c := alpha*a*a' + beta*c for trans = 'N'or'n'
c := alpha*a'*a + beta*c for trans = 'T'or't','C'or'c',
where c is an n-by-n symmetric matrix;
a is an n-by-k matrix, if trans = 'N'or'n',
a is a k-by-n matrix, if trans = 'T'or't','C'or'c'.
- sysv(char, INDArray, int[], INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- sysv(char, INDArray, int[], INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- sysv(char, INDArray, int[], INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- SYTEM_INFO - Static variable in class org.nd4j.graph.UIInfoType
-