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

A

abort(Abort.Options...) - Method in class org.tensorflow.op.Ops

Adds an Abort operation to the graph

Abort - Class in org.tensorflow.op.core

Raise a exception to abort the process when called.

Abort.Options - Class in org.tensorflow.op.core

Optional attributes for Abort

abs(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Abs operation to the graph

Abs<T extends java.lang.Number> - Class in org.tensorflow.op.math

Computes the absolute value of a tensor.

acceptableFraction(Float) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg

acceptableFraction(Float) - Method in class org.tensorflow.op.image.DecodeAndCropJpeg.Options

acceptableFraction(Float) - Static method in class org.tensorflow.op.image.DecodeJpeg

acceptableFraction(Float) - Method in class org.tensorflow.op.image.DecodeJpeg.Options

accumulateN(Operand<T>, Shape) - Method in class org.tensorflow.op.MathOps

Adds an AccumulateN operation to the graph

AccumulateN<T> - Class in org.tensorflow.op.math

Returns the element-wise sum of a list of tensors.

accumulatorApplyGradient(Operand<String>, Operand<Long>, Operand<T>) - Method in class org.tensorflow.op.TrainOps

Adds an AccumulatorApplyGradient operation to the graph

AccumulatorApplyGradient - Class in org.tensorflow.op.train

Applies a gradient to a given accumulator.

accumulatorNumAccumulated(Operand<String>) - Method in class org.tensorflow.op.TrainOps

Adds an AccumulatorNumAccumulated operation to the graph

AccumulatorNumAccumulated - Class in org.tensorflow.op.train

Returns the number of gradients aggregated in the given accumulators.

accumulatorSetGlobalStep(Operand<String>, Operand<Long>) - Method in class org.tensorflow.op.TrainOps

Adds an AccumulatorSetGlobalStep operation to the graph

AccumulatorSetGlobalStep - Class in org.tensorflow.op.train

Updates the accumulator with a new value for global_step.

accumulatorTakeGradient(Operand<String>, Operand<Integer>, Class<T>) - Method in class org.tensorflow.op.TrainOps

Adds an AccumulatorTakeGradient operation to the graph

AccumulatorTakeGradient<T> - Class in org.tensorflow.op.train

Extracts the average gradient in the given ConditionalAccumulator.

acos(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Acos operation to the graph

Acos<T> - Class in org.tensorflow.op.math

Computes acos of x element-wise.

acosh(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Acosh operation to the graph

Acosh<T> - Class in org.tensorflow.op.math

Computes inverse hyperbolic cosine of x element-wise.

activations() - Method in class org.tensorflow.op.math.Softplus

activations() - Method in class org.tensorflow.op.nn.Elu

activations() - Method in class org.tensorflow.op.nn.LeakyRelu

activations() - Method in class org.tensorflow.op.nn.QuantizedRelu

Has the same output shape as "features".

activations() - Method in class org.tensorflow.op.nn.QuantizedRelu6

Has the same output shape as "features".

activations() - Method in class org.tensorflow.op.nn.QuantizedReluX

Has the same output shape as "features".

activations() - Method in class org.tensorflow.op.nn.Relu

activations() - Method in class org.tensorflow.op.nn.Relu6

activations() - Method in class org.tensorflow.op.nn.Selu

activations() - Method in class org.tensorflow.op.nn.Softsign

adaptive(Boolean) - Static method in class org.tensorflow.op.train.SdcaOptimizer

adaptive(Boolean) - Method in class org.tensorflow.op.train.SdcaOptimizer.Options

add(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Add operation to the graph

Add<T> - Class in org.tensorflow.op.math

Returns x + y element-wise.

addControlInput(Operation) - Method in class org.tensorflow.OperationBuilder

Ensure that the operation does not execute before the control operation does.

addGradients(String, Output<?>[], Output<?>[], Output<?>[]) - Method in class org.tensorflow.Graph

Adds operations to compute the partial derivatives of sum of ys w.r.t xs, i.e., d(y_1 + y_2 + ...)/dx_1, d(y_1 + y_2 + ...)/dx_2...

addGradients(Output<?>, Output<?>[]) - Method in class org.tensorflow.Graph

Adds operations to compute the partial derivatives of sum of ys w.r.t xs, i.e., dy/dx_1, dy/dx_2...

addInput(Output<?>) - Method in class org.tensorflow.OperationBuilder

Returns the builder to create an operation.

addInputList(Output<?>[]) - Method in class org.tensorflow.OperationBuilder

addManySparseToTensorsMap(Operand<Long>, Operand<T>, Operand<Long>, AddManySparseToTensorsMap.Options...) - Method in class org.tensorflow.op.SparseOps

Adds an AddManySparseToTensorsMap operation to the graph

AddManySparseToTensorsMap - Class in org.tensorflow.op.sparse

Add an `N`-minibatch `SparseTensor` to a `SparseTensorsMap`, return `N` handles.

AddManySparseToTensorsMap.Options - Class in org.tensorflow.op.sparse

Optional attributes for AddManySparseToTensorsMap

addN(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an AddN operation to the graph

AddN<T> - Class in org.tensorflow.op.math

Add all input tensors element wise.

addSparseToTensorsMap(Operand<Long>, Operand<T>, Operand<Long>, AddSparseToTensorsMap.Options...) - Method in class org.tensorflow.op.SparseOps

Adds an AddSparseToTensorsMap operation to the graph

AddSparseToTensorsMap - Class in org.tensorflow.op.sparse

Add a `SparseTensor` to a `SparseTensorsMap` return its handle.

AddSparseToTensorsMap.Options - Class in org.tensorflow.op.sparse

Optional attributes for AddSparseToTensorsMap

addTarget(String) - Method in class org.tensorflow.Session.Runner

Make Session.Runner.run() execute operation, but not return any evaluated Tensors.

addTarget(Operand<?>) - Method in class org.tensorflow.Session.Runner

Make Session.Runner.run() execute operand, but not return any evaluated Tensors.

addTarget(Operation) - Method in class org.tensorflow.Session.Runner

Make Session.Runner.run() execute operation, but not return any evaluated Tensors.

adjoint(Boolean) - Static method in class org.tensorflow.op.linalg.BatchMatrixInverse

adjoint(Boolean) - Method in class org.tensorflow.op.linalg.BatchMatrixInverse.Options

adjoint(Boolean) - Static method in class org.tensorflow.op.linalg.BatchMatrixSolve

adjoint(Boolean) - Method in class org.tensorflow.op.linalg.BatchMatrixSolve.Options

adjoint(Boolean) - Static method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve

adjoint(Boolean) - Method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve.Options

adjoint(Boolean) - Static method in class org.tensorflow.op.linalg.Inv

adjoint(Boolean) - Method in class org.tensorflow.op.linalg.Inv.Options

adjoint(Boolean) - Static method in class org.tensorflow.op.linalg.Solve

adjoint(Boolean) - Method in class org.tensorflow.op.linalg.Solve.Options

adjoint(Boolean) - Static method in class org.tensorflow.op.linalg.TriangularSolve

adjoint(Boolean) - Method in class org.tensorflow.op.linalg.TriangularSolve.Options

adjointA(Boolean) - Static method in class org.tensorflow.op.sparse.SparseTensorDenseMatMul

adjointA(Boolean) - Method in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Options

adjointB(Boolean) - Static method in class org.tensorflow.op.sparse.SparseTensorDenseMatMul

adjointB(Boolean) - Method in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Options

adjustContrast(Operand<Float>, Operand<Float>) - Method in class org.tensorflow.op.ImageOps

Adds an AdjustContrast operation to the graph

AdjustContrast - Class in org.tensorflow.op.image

Adjust the contrast of one or more images.

adjustHue(Operand<Float>, Operand<Float>) - Method in class org.tensorflow.op.ImageOps

Adds an AdjustHue operation to the graph

AdjustHue - Class in org.tensorflow.op.image

Adjust the hue of one or more images.

adjustSaturation(Operand<Float>, Operand<Float>) - Method in class org.tensorflow.op.ImageOps

Adds an AdjustSaturation operation to the graph

AdjustSaturation - Class in org.tensorflow.op.image

Adjust the saturation of one or more images.

adjX(Boolean) - Static method in class org.tensorflow.op.linalg.BatchMatMul

adjX(Boolean) - Method in class org.tensorflow.op.linalg.BatchMatMul.Options

adjY(Boolean) - Static method in class org.tensorflow.op.linalg.BatchMatMul

adjY(Boolean) - Method in class org.tensorflow.op.linalg.BatchMatMul.Options

aIsSparse(Boolean) - Static method in class org.tensorflow.op.sparse.SparseMatMul

aIsSparse(Boolean) - Method in class org.tensorflow.op.sparse.SparseMatMul.Options

alignCorners(Boolean) - Static method in class org.tensorflow.op.image.QuantizedResizeBilinear

alignCorners(Boolean) - Method in class org.tensorflow.op.image.QuantizedResizeBilinear.Options

alignCorners(Boolean) - Static method in class org.tensorflow.op.image.ResizeArea

alignCorners(Boolean) - Method in class org.tensorflow.op.image.ResizeArea.Options

alignCorners(Boolean) - Static method in class org.tensorflow.op.image.ResizeBicubic

alignCorners(Boolean) - Method in class org.tensorflow.op.image.ResizeBicubic.Options

alignCorners(Boolean) - Static method in class org.tensorflow.op.image.ResizeBicubicGrad

alignCorners(Boolean) - Method in class org.tensorflow.op.image.ResizeBicubicGrad.Options

alignCorners(Boolean) - Static method in class org.tensorflow.op.image.ResizeBilinear

alignCorners(Boolean) - Method in class org.tensorflow.op.image.ResizeBilinear.Options

alignCorners(Boolean) - Static method in class org.tensorflow.op.image.ResizeBilinearGrad

alignCorners(Boolean) - Method in class org.tensorflow.op.image.ResizeBilinearGrad.Options

alignCorners(Boolean) - Static method in class org.tensorflow.op.image.ResizeNearestNeighbor

alignCorners(Boolean) - Method in class org.tensorflow.op.image.ResizeNearestNeighbor.Options

alignCorners(Boolean) - Static method in class org.tensorflow.op.image.ResizeNearestNeighborGrad

alignCorners(Boolean) - Method in class org.tensorflow.op.image.ResizeNearestNeighborGrad.Options

all(Operand<Boolean>, Operand<T>, All.Options...) - Method in class org.tensorflow.op.Ops

Adds an All operation to the graph

All - Class in org.tensorflow.op.core

Computes the "logical and" of elements across dimensions of a tensor.

All.Options - Class in org.tensorflow.op.core

Optional attributes for All

allCandidateSampler(Operand<Long>, Long, Long, Boolean, AllCandidateSampler.Options...) - Method in class org.tensorflow.op.RandomOps

Adds an AllCandidateSampler operation to the graph

AllCandidateSampler - Class in org.tensorflow.op.random

Generates labels for candidate sampling with a learned unigram distribution.

AllCandidateSampler.Options - Class in org.tensorflow.op.random

Optional attributes for AllCandidateSampler

allowedBatchSizes(List<Long>) - Static method in class org.tensorflow.op.core.Batch

allowedBatchSizes(List<Long>) - Method in class org.tensorflow.op.core.Batch.Options

allowSmallBatch(Boolean) - Static method in class org.tensorflow.op.core.BarrierTakeMany

allowSmallBatch(Boolean) - Method in class org.tensorflow.op.core.BarrierTakeMany.Options

AllReduce<T extends java.lang.Number> - Class in org.tensorflow.op.collective

Mutually reduces multiple tensors of identical type and shape.

alpha(Float) - Static method in class org.tensorflow.op.data.LeakyReluGrad

alpha(Float) - Method in class org.tensorflow.op.data.LeakyReluGrad.Options

alpha(Float) - Static method in class org.tensorflow.op.nn.LeakyRelu

alpha(Float) - Method in class org.tensorflow.op.nn.LeakyRelu.Options

alpha(Float) - Static method in class org.tensorflow.op.nn.LocalResponseNormalization

alpha(Float) - Method in class org.tensorflow.op.nn.LocalResponseNormalization.Options

alpha(Float) - Static method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad

alpha(Float) - Method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Options

angle(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Angle operation to the graph

angle(Operand<T>, Class<U>) - Method in class org.tensorflow.op.MathOps

Adds an Angle operation to the graph

Angle<U extends java.lang.Number> - Class in org.tensorflow.op.math

Returns the argument of a complex number.

anonymousIterator(List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.DataOps

Adds an AnonymousIterator operation to the graph

AnonymousIterator - Class in org.tensorflow.op.data

A container for an iterator resource.

any(Operand<Boolean>, Operand<T>, Any.Options...) - Method in class org.tensorflow.op.Ops

Adds an Any operation to the graph

Any - Class in org.tensorflow.op.core

Computes the "logical or" of elements across dimensions of a tensor.

Any.Options - Class in org.tensorflow.op.core

Optional attributes for Any

applyAdadelta(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdadelta.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ApplyAdadelta operation to the graph

ApplyAdadelta<T> - Class in org.tensorflow.op.train

Update '*var' according to the adadelta scheme.

ApplyAdadelta.Options - Class in org.tensorflow.op.train

Optional attributes for ApplyAdadelta

applyAdagrad(Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ApplyAdagrad operation to the graph

ApplyAdagrad<T> - Class in org.tensorflow.op.train

Update '*var' according to the adagrad scheme.

ApplyAdagrad.Options - Class in org.tensorflow.op.train

Optional attributes for ApplyAdagrad

applyAdagradDa(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<Long>, ApplyAdagradDa.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ApplyAdagradDa operation to the graph

ApplyAdagradDa<T> - Class in org.tensorflow.op.train

Update '*var' according to the proximal adagrad scheme.

ApplyAdagradDa.Options - Class in org.tensorflow.op.train

Optional attributes for ApplyAdagradDa

applyAdam(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdam.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ApplyAdam operation to the graph

ApplyAdam<T> - Class in org.tensorflow.op.train

Update '*var' according to the Adam algorithm.

ApplyAdam.Options - Class in org.tensorflow.op.train

Optional attributes for ApplyAdam

ApplyAdaMax<T> - Class in org.tensorflow.op.train

Update '*var' according to the AdaMax algorithm.

ApplyAdaMax.Options - Class in org.tensorflow.op.train

Optional attributes for ApplyAdaMax

applyAddSign(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAddSign.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ApplyAddSign operation to the graph

ApplyAddSign<T> - Class in org.tensorflow.op.train

Update '*var' according to the AddSign update.

ApplyAddSign.Options - Class in org.tensorflow.op.train

Optional attributes for ApplyAddSign

applyCenteredRmsProp(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyCenteredRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ApplyCenteredRmsProp operation to the graph

ApplyCenteredRmsProp<T> - Class in org.tensorflow.op.train

Update '*var' according to the centered RMSProp algorithm.

ApplyCenteredRmsProp.Options - Class in org.tensorflow.op.train

Optional attributes for ApplyCenteredRmsProp

applyFtrl(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyFtrl.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ApplyFtrl operation to the graph

ApplyFtrl<T> - Class in org.tensorflow.op.train

Update '*var' according to the Ftrl-proximal scheme.

ApplyFtrl.Options - Class in org.tensorflow.op.train

Optional attributes for ApplyFtrl

applyGradientDescent(Operand<T>, Operand<T>, Operand<T>, ApplyGradientDescent.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ApplyGradientDescent operation to the graph

ApplyGradientDescent<T> - Class in org.tensorflow.op.train

Update '*var' by subtracting 'alpha' * 'delta' from it.

ApplyGradientDescent.Options - Class in org.tensorflow.op.train

Optional attributes for ApplyGradientDescent

applyMomentum(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyMomentum.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ApplyMomentum operation to the graph

ApplyMomentum<T> - Class in org.tensorflow.op.train

Update '*var' according to the momentum scheme.

ApplyMomentum.Options - Class in org.tensorflow.op.train

Optional attributes for ApplyMomentum

applyPowerSign(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyPowerSign.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ApplyPowerSign operation to the graph

ApplyPowerSign<T> - Class in org.tensorflow.op.train

Update '*var' according to the AddSign update.

ApplyPowerSign.Options - Class in org.tensorflow.op.train

Optional attributes for ApplyPowerSign

applyProximalAdagrad(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyProximalAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ApplyProximalAdagrad operation to the graph

ApplyProximalAdagrad<T> - Class in org.tensorflow.op.train

Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.

ApplyProximalAdagrad.Options - Class in org.tensorflow.op.train

Optional attributes for ApplyProximalAdagrad

applyProximalGradientDescent(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyProximalGradientDescent.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ApplyProximalGradientDescent operation to the graph

ApplyProximalGradientDescent<T> - Class in org.tensorflow.op.train

Update '*var' as FOBOS algorithm with fixed learning rate.

ApplyProximalGradientDescent.Options - Class in org.tensorflow.op.train

Optional attributes for ApplyProximalGradientDescent

applyRmsProp(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ApplyRmsProp operation to the graph

ApplyRmsProp<T> - Class in org.tensorflow.op.train

Update '*var' according to the RMSProp algorithm.

ApplyRmsProp.Options - Class in org.tensorflow.op.train

Optional attributes for ApplyRmsProp

approximateEqual(Operand<T>, Operand<T>, ApproximateEqual.Options...) - Method in class org.tensorflow.op.MathOps

Adds an ApproximateEqual operation to the graph

ApproximateEqual - Class in org.tensorflow.op.math

Returns the truth value of abs(x-y) < tolerance element-wise.

ApproximateEqual.Options - Class in org.tensorflow.op.math

Optional attributes for ApproximateEqual

areaRange(List<Float>) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox

areaRange(List<Float>) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options

argmax() - Method in class org.tensorflow.op.nn.MaxPoolWithArgmax

4-D.

argMax(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.MathOps

Adds an ArgMax operation to the graph

argMax(Operand<T>, Operand<U>, Class<V>) - Method in class org.tensorflow.op.MathOps

Adds an ArgMax operation to the graph

ArgMax<V extends java.lang.Number> - Class in org.tensorflow.op.math

Returns the index with the largest value across dimensions of a tensor.

argMin(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.MathOps

Adds an ArgMin operation to the graph

argMin(Operand<T>, Operand<U>, Class<V>) - Method in class org.tensorflow.op.MathOps

Adds an ArgMin operation to the graph

ArgMin<V extends java.lang.Number> - Class in org.tensorflow.op.math

Returns the index with the smallest value across dimensions of a tensor.

asin(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Asin operation to the graph

Asin<T> - Class in org.tensorflow.op.math

Computes asin of x element-wise.

asinh(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Asinh operation to the graph

Asinh<T> - Class in org.tensorflow.op.math

Computes inverse hyperbolic sine of x element-wise.

asOutput() - Method in class org.tensorflow.op.audio.AudioSpectrogram

asOutput() - Method in class org.tensorflow.op.audio.EncodeWav

asOutput() - Method in class org.tensorflow.op.audio.Mfcc

asOutput() - Method in class org.tensorflow.op.bitwise.BitwiseAnd

asOutput() - Method in class org.tensorflow.op.bitwise.BitwiseOr

asOutput() - Method in class org.tensorflow.op.bitwise.BitwiseXor

asOutput() - Method in class org.tensorflow.op.bitwise.Invert

asOutput() - Method in class org.tensorflow.op.bitwise.LeftShift

asOutput() - Method in class org.tensorflow.op.bitwise.RightShift

asOutput() - Method in class org.tensorflow.op.collective.AllReduce

asOutput() - Method in class org.tensorflow.op.collective.BroadcastRecv

asOutput() - Method in class org.tensorflow.op.collective.BroadcastSend

asOutput() - Method in class org.tensorflow.op.core.All

asOutput() - Method in class org.tensorflow.op.core.Any

asOutput() - Method in class org.tensorflow.op.core.Assign

asOutput() - Method in class org.tensorflow.op.core.AssignAdd

asOutput() - Method in class org.tensorflow.op.core.AssignSub

asOutput() - Method in class org.tensorflow.op.core.Barrier

asOutput() - Method in class org.tensorflow.op.core.BarrierIncompleteSize

asOutput() - Method in class org.tensorflow.op.core.BarrierReadySize

asOutput() - Method in class org.tensorflow.op.core.BatchToSpace

asOutput() - Method in class org.tensorflow.op.core.BatchToSpaceNd

asOutput() - Method in class org.tensorflow.op.core.Bitcast

asOutput() - Method in class org.tensorflow.op.core.BoostedTreesCenterBias

asOutput() - Method in class org.tensorflow.op.core.BoostedTreesEnsembleResourceHandleOp

asOutput() - Method in class org.tensorflow.op.core.BoostedTreesExampleDebugOutputs

asOutput() - Method in class org.tensorflow.op.core.BoostedTreesMakeStatsSummary

asOutput() - Method in class org.tensorflow.op.core.BoostedTreesPredict

asOutput() - Method in class org.tensorflow.op.core.BoostedTreesQuantileStreamResourceHandleOp

asOutput() - Method in class org.tensorflow.op.core.BroadcastDynamicShape

asOutput() - Method in class org.tensorflow.op.core.BroadcastTo

asOutput() - Method in class org.tensorflow.op.core.Bucketize

asOutput() - Method in class org.tensorflow.op.core.ClipByValue

asOutput() - Method in class org.tensorflow.op.core.Concat

asOutput() - Method in class org.tensorflow.op.core.Constant

asOutput() - Method in class org.tensorflow.op.core.CountUpTo

asOutput() - Method in class org.tensorflow.op.core.DebugGradientIdentity

asOutput() - Method in class org.tensorflow.op.core.DebugGradientRefIdentity

asOutput() - Method in class org.tensorflow.op.core.DeepCopy

asOutput() - Method in class org.tensorflow.op.core.DestroyTemporaryVariable

asOutput() - Method in class org.tensorflow.op.core.DynamicStitch

asOutput() - Method in class org.tensorflow.op.core.EditDistance

asOutput() - Method in class org.tensorflow.op.core.Empty

asOutput() - Method in class org.tensorflow.op.core.EmptyTensorList

asOutput() - Method in class org.tensorflow.op.core.EncodeProto

asOutput() - Method in class org.tensorflow.op.core.EnsureShape

asOutput() - Method in class org.tensorflow.op.core.Enter

asOutput() - Method in class org.tensorflow.op.core.Exit

asOutput() - Method in class org.tensorflow.op.core.ExpandDims

asOutput() - Method in class org.tensorflow.op.core.ExperimentalMatchingFilesDataset

asOutput() - Method in class org.tensorflow.op.core.ExperimentalMaxIntraOpParallelismDataset

asOutput() - Method in class org.tensorflow.op.core.ExperimentalPrivateThreadPoolDataset

asOutput() - Method in class org.tensorflow.op.core.ExtractVolumePatches

asOutput() - Method in class org.tensorflow.op.core.Fill

asOutput() - Method in class org.tensorflow.op.core.Gather

asOutput() - Method in class org.tensorflow.op.core.GatherNd

asOutput() - Method in class org.tensorflow.op.core.GenerateBigQueryReaderPartitions

asOutput() - Method in class org.tensorflow.op.core.GetSessionHandle

asOutput() - Method in class org.tensorflow.op.core.GetSessionTensor

asOutput() - Method in class org.tensorflow.op.core.GuaranteeConst

asOutput() - Method in class org.tensorflow.op.core.HashTable

asOutput() - Method in class org.tensorflow.op.core.HistogramFixedWidth

asOutput() - Method in class org.tensorflow.op.core.Identity

asOutput() - Method in class org.tensorflow.op.core.ImmutableConst

asOutput() - Method in class org.tensorflow.op.core.InplaceAdd

asOutput() - Method in class org.tensorflow.op.core.InplaceSub

asOutput() - Method in class org.tensorflow.op.core.InplaceUpdate

asOutput() - Method in class org.tensorflow.op.core.IsBoostedTreesEnsembleInitialized

asOutput() - Method in class org.tensorflow.op.core.IsBoostedTreesQuantileStreamResourceInitialized

asOutput() - Method in class org.tensorflow.op.core.IsVariableInitialized

asOutput() - Method in class org.tensorflow.op.core.LinSpace

asOutput() - Method in class org.tensorflow.op.core.LookupTableFind

asOutput() - Method in class org.tensorflow.op.core.LookupTableSize

asOutput() - Method in class org.tensorflow.op.core.LoopCond

asOutput() - Method in class org.tensorflow.op.core.LowerBound

asOutput() - Method in class org.tensorflow.op.core.MapIncompleteSize

asOutput() - Method in class org.tensorflow.op.core.MapSize

asOutput() - Method in class org.tensorflow.op.core.Max

asOutput() - Method in class org.tensorflow.op.core.Min

asOutput() - Method in class org.tensorflow.op.core.MirrorPad

asOutput() - Method in class org.tensorflow.op.core.MirrorPadGrad

asOutput() - Method in class org.tensorflow.op.core.MutableDenseHashTable

asOutput() - Method in class org.tensorflow.op.core.MutableHashTable

asOutput() - Method in class org.tensorflow.op.core.MutableHashTableOfTensors

asOutput() - Method in class org.tensorflow.op.core.Mutex

asOutput() - Method in class org.tensorflow.op.core.MutexLock

asOutput() - Method in class org.tensorflow.op.core.NcclAllReduce

asOutput() - Method in class org.tensorflow.op.core.NcclBroadcast

asOutput() - Method in class org.tensorflow.op.core.NcclReduce

asOutput() - Method in class org.tensorflow.op.core.NextIteration

asOutput() - Method in class org.tensorflow.op.core.OneHot

asOutput() - Method in class org.tensorflow.op.core.OnesLike

asOutput() - Method in class org.tensorflow.op.core.OrderedMapIncompleteSize

asOutput() - Method in class org.tensorflow.op.core.OrderedMapSize

asOutput() - Method in class org.tensorflow.op.core.Pad

asOutput() - Method in class org.tensorflow.op.core.ParallelConcat

asOutput() - Method in class org.tensorflow.op.core.ParallelDynamicStitch

asOutput() - Method in class org.tensorflow.op.core.Placeholder

asOutput() - Method in class org.tensorflow.op.core.PlaceholderWithDefault

asOutput() - Method in class org.tensorflow.op.core.Prod

asOutput() - Method in class org.tensorflow.op.core.Range

asOutput() - Method in class org.tensorflow.op.core.Rank

asOutput() - Method in class org.tensorflow.op.core.ReadVariableOp

asOutput() - Method in class org.tensorflow.op.core.ReduceAll

asOutput() - Method in class org.tensorflow.op.core.ReduceAny

asOutput() - Method in class org.tensorflow.op.core.ReduceMax

asOutput() - Method in class org.tensorflow.op.core.ReduceMin

asOutput() - Method in class org.tensorflow.op.core.ReduceProd

asOutput() - Method in class org.tensorflow.op.core.ReduceSum

asOutput() - Method in class org.tensorflow.op.core.RefEnter

asOutput() - Method in class org.tensorflow.op.core.RefExit

asOutput() - Method in class org.tensorflow.op.core.RefIdentity

asOutput() - Method in class org.tensorflow.op.core.RefNextIteration

asOutput() - Method in class org.tensorflow.op.core.RefSelect

asOutput() - Method in class org.tensorflow.op.core.Reshape

asOutput() - Method in class org.tensorflow.op.core.ResourceCountUpTo

asOutput() - Method in class org.tensorflow.op.core.ResourceGather

asOutput() - Method in class org.tensorflow.op.core.Reverse

asOutput() - Method in class org.tensorflow.op.core.ReverseSequence

asOutput() - Method in class org.tensorflow.op.core.Roll

asOutput() - Method in class org.tensorflow.op.core.Rpc

asOutput() - Method in class org.tensorflow.op.core.ScatterAdd

asOutput() - Method in class org.tensorflow.op.core.ScatterDiv

asOutput() - Method in class org.tensorflow.op.core.ScatterMax

asOutput() - Method in class org.tensorflow.op.core.ScatterMin

asOutput() - Method in class org.tensorflow.op.core.ScatterMul

asOutput() - Method in class org.tensorflow.op.core.ScatterNd

asOutput() - Method in class org.tensorflow.op.core.ScatterNdAdd

asOutput() - Method in class org.tensorflow.op.core.ScatterNdNonAliasingAdd

asOutput() - Method in class org.tensorflow.op.core.ScatterNdSub

asOutput() - Method in class org.tensorflow.op.core.ScatterNdUpdate

asOutput() - Method in class org.tensorflow.op.core.ScatterSub

asOutput() - Method in class org.tensorflow.op.core.ScatterUpdate

asOutput() - Method in class org.tensorflow.op.core.SetSize

asOutput() - Method in class org.tensorflow.op.core.Shape

asOutput() - Method in class org.tensorflow.op.core.Size

asOutput() - Method in class org.tensorflow.op.core.Slice

asOutput() - Method in class org.tensorflow.op.core.Snapshot

asOutput() - Method in class org.tensorflow.op.core.SpaceToBatchNd

asOutput() - Method in class org.tensorflow.op.core.Squeeze

asOutput() - Method in class org.tensorflow.op.core.Stack

asOutput() - Method in class org.tensorflow.op.core.StageSize

asOutput() - Method in class org.tensorflow.op.core.StopGradient

asOutput() - Method in class org.tensorflow.op.core.StridedSlice

asOutput() - Method in class org.tensorflow.op.core.StridedSliceAssign

asOutput() - Method in class org.tensorflow.op.core.StridedSliceGrad

asOutput() - Method in class org.tensorflow.op.core.Sum

asOutput() - Method in class org.tensorflow.op.core.TemporaryVariable

asOutput() - Method in class org.tensorflow.op.core.TensorArrayGather

asOutput() - Method in class org.tensorflow.op.core.TensorArrayPack

asOutput() - Method in class org.tensorflow.op.core.TensorArrayRead

asOutput() - Method in class org.tensorflow.op.core.TensorArrayScatter

asOutput() - Method in class org.tensorflow.op.core.TensorArraySize

asOutput() - Method in class org.tensorflow.op.core.TensorArraySplit

asOutput() - Method in class org.tensorflow.op.core.TensorArrayUnpack

asOutput() - Method in class org.tensorflow.op.core.TensorArrayWrite

asOutput() - Method in class org.tensorflow.op.core.TensorForestTreeIsInitializedOp

asOutput() - Method in class org.tensorflow.op.core.TensorForestTreePredict

asOutput() - Method in class org.tensorflow.op.core.TensorForestTreeResourceHandleOp

asOutput() - Method in class org.tensorflow.op.core.TensorForestTreeSerialize

asOutput() - Method in class org.tensorflow.op.core.TensorForestTreeSize

asOutput() - Method in class org.tensorflow.op.core.TensorListConcatLists

asOutput() - Method in class org.tensorflow.op.core.TensorListElementShape

asOutput() - Method in class org.tensorflow.op.core.TensorListFromTensor

asOutput() - Method in class org.tensorflow.op.core.TensorListGather

asOutput() - Method in class org.tensorflow.op.core.TensorListGetItem

asOutput() - Method in class org.tensorflow.op.core.TensorListLength

asOutput() - Method in class org.tensorflow.op.core.TensorListPushBack

asOutput() - Method in class org.tensorflow.op.core.TensorListPushBackBatch

asOutput() - Method in class org.tensorflow.op.core.TensorListReserve

asOutput() - Method in class org.tensorflow.op.core.TensorListScatter

asOutput() - Method in class org.tensorflow.op.core.TensorListSetItem

asOutput() - Method in class org.tensorflow.op.core.TensorListStack

asOutput() - Method in class org.tensorflow.op.core.Tile

asOutput() - Method in class org.tensorflow.op.core.Timestamp

asOutput() - Method in class org.tensorflow.op.core.Unbatch

asOutput() - Method in class org.tensorflow.op.core.UnbatchGrad

asOutput() - Method in class org.tensorflow.op.core.UnravelIndex

asOutput() - Method in class org.tensorflow.op.core.UpperBound

asOutput() - Method in class org.tensorflow.op.core.VarHandleOp

asOutput() - Method in class org.tensorflow.op.core.Variable

asOutput() - Method in class org.tensorflow.op.core.VariableShape

asOutput() - Method in class org.tensorflow.op.core.VarIsInitializedOp

asOutput() - Method in class org.tensorflow.op.core.Where

asOutput() - Method in class org.tensorflow.op.core.Where3

asOutput() - Method in class org.tensorflow.op.core.Zeros

asOutput() - Method in class org.tensorflow.op.core.ZerosLike

asOutput() - Method in class org.tensorflow.op.data.AnonymousIterator

asOutput() - Method in class org.tensorflow.op.data.BatchDataset

asOutput() - Method in class org.tensorflow.op.data.BytesProducedStatsDataset

asOutput() - Method in class org.tensorflow.op.data.CacheDataset

asOutput() - Method in class org.tensorflow.op.data.ConcatenateDataset

asOutput() - Method in class org.tensorflow.op.data.DatasetToGraph

asOutput() - Method in class org.tensorflow.op.data.DenseToSparseBatchDataset

asOutput() - Method in class org.tensorflow.op.data.ExperimentalAssertNextDataset

asOutput() - Method in class org.tensorflow.op.data.ExperimentalCsvDataset

asOutput() - Method in class org.tensorflow.op.data.ExperimentalDirectedInterleaveDataset

asOutput() - Method in class org.tensorflow.op.data.ExperimentalIdentityIndexedDataset

asOutput() - Method in class org.tensorflow.op.data.ExperimentalIgnoreErrorsDataset

asOutput() - Method in class org.tensorflow.op.data.ExperimentalIteratorGetDevice

asOutput() - Method in class org.tensorflow.op.data.ExperimentalLmdbDataset

asOutput() - Method in class org.tensorflow.op.data.ExperimentalMaterializedIndexDatasetHandle

asOutput() - Method in class org.tensorflow.op.data.ExperimentalNonSerializableDataset

asOutput() - Method in class org.tensorflow.op.data.ExperimentalSleepDataset

asOutput() - Method in class org.tensorflow.op.data.ExperimentalThreadPoolDataset

asOutput() - Method in class org.tensorflow.op.data.ExperimentalThreadPoolHandle

asOutput() - Method in class org.tensorflow.op.data.ExperimentalUniqueDataset

asOutput() - Method in class org.tensorflow.op.data.FilterByLastComponentDataset

asOutput() - Method in class org.tensorflow.op.data.FixedLengthRecordDataset

asOutput() - Method in class org.tensorflow.op.data.Iterator

asOutput() - Method in class org.tensorflow.op.data.IteratorFromStringHandle

asOutput() - Method in class org.tensorflow.op.data.IteratorGetNextAsOptional

asOutput() - Method in class org.tensorflow.op.data.IteratorToStringHandle

asOutput() - Method in class org.tensorflow.op.data.LatencyStatsDataset

asOutput() - Method in class org.tensorflow.op.data.LeakyReluGrad

asOutput() - Method in class org.tensorflow.op.data.ModelDataset

asOutput() - Method in class org.tensorflow.op.data.MultiDeviceIterator

asOutput() - Method in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle

asOutput() - Method in class org.tensorflow.op.data.MultiDeviceIteratorInit

asOutput() - Method in class org.tensorflow.op.data.MultiDeviceIteratorToStringHandle

asOutput() - Method in class org.tensorflow.op.data.OptimizeDataset

asOutput() - Method in class org.tensorflow.op.data.OptionalFromValue

asOutput() - Method in class org.tensorflow.op.data.OptionalHasValue

asOutput() - Method in class org.tensorflow.op.data.OptionalNone

asOutput() - Method in class org.tensorflow.op.data.PaddedBatchDataset

asOutput() - Method in class org.tensorflow.op.data.ParseExampleDataset

asOutput() - Method in class org.tensorflow.op.data.PrefetchDataset

asOutput() - Method in class org.tensorflow.op.data.PrependFromQueueAndPaddedBatchDataset

asOutput() - Method in class org.tensorflow.op.data.RandomDataset

asOutput() - Method in class org.tensorflow.op.data.RangeDataset

asOutput() - Method in class org.tensorflow.op.data.RepeatDataset

asOutput() - Method in class org.tensorflow.op.data.SerializeIterator

asOutput() - Method in class org.tensorflow.op.data.SetStatsAggregatorDataset

asOutput() - Method in class org.tensorflow.op.data.ShuffleAndRepeatDataset

asOutput() - Method in class org.tensorflow.op.data.ShuffleDataset

asOutput() - Method in class org.tensorflow.op.data.SkipDataset

asOutput() - Method in class org.tensorflow.op.data.SlideDataset

asOutput() - Method in class org.tensorflow.op.data.SparseTensorSliceDataset

asOutput() - Method in class org.tensorflow.op.data.SqlDataset

asOutput() - Method in class org.tensorflow.op.data.StatsAggregatorHandle

asOutput() - Method in class org.tensorflow.op.data.TakeDataset

asOutput() - Method in class org.tensorflow.op.data.TensorDataset

asOutput() - Method in class org.tensorflow.op.data.TensorSliceDataset

asOutput() - Method in class org.tensorflow.op.data.TextLineDataset

asOutput() - Method in class org.tensorflow.op.data.TfRecordDataset

asOutput() - Method in class org.tensorflow.op.data.UnbatchDataset

asOutput() - Method in class org.tensorflow.op.data.WindowDataset

asOutput() - Method in class org.tensorflow.op.data.ZipDataset

asOutput() - Method in class org.tensorflow.op.dtypes.AsString

asOutput() - Method in class org.tensorflow.op.dtypes.Cast

asOutput() - Method in class org.tensorflow.op.dtypes.Complex

asOutput() - Method in class org.tensorflow.op.image.AdjustContrast

asOutput() - Method in class org.tensorflow.op.image.AdjustHue

asOutput() - Method in class org.tensorflow.op.image.AdjustSaturation

asOutput() - Method in class org.tensorflow.op.image.CropAndResize

asOutput() - Method in class org.tensorflow.op.image.CropAndResizeGradBoxes

asOutput() - Method in class org.tensorflow.op.image.CropAndResizeGradImage

asOutput() - Method in class org.tensorflow.op.image.DecodeAndCropJpeg

asOutput() - Method in class org.tensorflow.op.image.DecodeBmp

asOutput() - Method in class org.tensorflow.op.image.DecodeGif

asOutput() - Method in class org.tensorflow.op.image.DecodeJpeg

asOutput() - Method in class org.tensorflow.op.image.DecodePng

asOutput() - Method in class org.tensorflow.op.image.DrawBoundingBoxes

asOutput() - Method in class org.tensorflow.op.image.EncodeJpeg

asOutput() - Method in class org.tensorflow.op.image.EncodePng

asOutput() - Method in class org.tensorflow.op.image.ExtractGlimpse

asOutput() - Method in class org.tensorflow.op.image.ExtractImagePatches

asOutput() - Method in class org.tensorflow.op.image.ExtractJpegShape

asOutput() - Method in class org.tensorflow.op.image.HsvToRgb

asOutput() - Method in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps

asOutput() - Method in class org.tensorflow.op.image.RandomCrop

asOutput() - Method in class org.tensorflow.op.image.ResizeArea

asOutput() - Method in class org.tensorflow.op.image.ResizeBicubic

asOutput() - Method in class org.tensorflow.op.image.ResizeBicubicGrad

asOutput() - Method in class org.tensorflow.op.image.ResizeBilinear

asOutput() - Method in class org.tensorflow.op.image.ResizeBilinearGrad

asOutput() - Method in class org.tensorflow.op.image.ResizeNearestNeighbor

asOutput() - Method in class org.tensorflow.op.image.ResizeNearestNeighborGrad

asOutput() - Method in class org.tensorflow.op.image.RgbToHsv

asOutput() - Method in class org.tensorflow.op.io.BigQueryReader

asOutput() - Method in class org.tensorflow.op.io.DecodeBase64

asOutput() - Method in class org.tensorflow.op.io.DecodeCompressed

asOutput() - Method in class org.tensorflow.op.io.DecodeJsonExample

asOutput() - Method in class org.tensorflow.op.io.DecodeRaw

asOutput() - Method in class org.tensorflow.op.io.EncodeBase64

asOutput() - Method in class org.tensorflow.op.io.FifoQueue

asOutput() - Method in class org.tensorflow.op.io.FixedLengthRecordReader

asOutput() - Method in class org.tensorflow.op.io.IdentityReader

asOutput() - Method in class org.tensorflow.op.io.LmdbReader

asOutput() - Method in class org.tensorflow.op.io.MatchingFiles

asOutput() - Method in class org.tensorflow.op.io.PaddingFifoQueue

asOutput() - Method in class org.tensorflow.op.io.ParseTensor

asOutput() - Method in class org.tensorflow.op.io.PriorityQueue

asOutput() - Method in class org.tensorflow.op.io.QueueIsClosed

asOutput() - Method in class org.tensorflow.op.io.QueueSize

asOutput() - Method in class org.tensorflow.op.io.RandomShuffleQueue

asOutput() - Method in class org.tensorflow.op.io.ReaderNumRecordsProduced

asOutput() - Method in class org.tensorflow.op.io.ReaderNumWorkUnitsCompleted

asOutput() - Method in class org.tensorflow.op.io.ReaderSerializeState

asOutput() - Method in class org.tensorflow.op.io.ReadFile

asOutput() - Method in class org.tensorflow.op.io.SerializeManySparse

asOutput() - Method in class org.tensorflow.op.io.SerializeSparse

asOutput() - Method in class org.tensorflow.op.io.SerializeTensor

asOutput() - Method in class org.tensorflow.op.io.ShardedFilename

asOutput() - Method in class org.tensorflow.op.io.ShardedFilespec

asOutput() - Method in class org.tensorflow.op.io.TextLineReader

asOutput() - Method in class org.tensorflow.op.io.TfRecordReader

asOutput() - Method in class org.tensorflow.op.io.WholeFileReader

asOutput() - Method in class org.tensorflow.op.linalg.BandPart

asOutput() - Method in class org.tensorflow.op.linalg.BatchCholesky

asOutput() - Method in class org.tensorflow.op.linalg.BatchCholeskyGrad

asOutput() - Method in class org.tensorflow.op.linalg.BatchMatMul

asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixBandPart

asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixDeterminant

asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixDiag

asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixDiagPart

asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixInverse

asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixSetDiag

asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixSolve

asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixSolveLs

asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve

asOutput() - Method in class org.tensorflow.op.linalg.Cholesky

asOutput() - Method in class org.tensorflow.op.linalg.CholeskyGrad

asOutput() - Method in class org.tensorflow.op.linalg.ConjugateTranspose

asOutput() - Method in class org.tensorflow.op.linalg.Cross

asOutput() - Method in class org.tensorflow.op.linalg.Det

asOutput() - Method in class org.tensorflow.op.linalg.Diag

asOutput() - Method in class org.tensorflow.op.linalg.DiagPart

asOutput() - Method in class org.tensorflow.op.linalg.Inv

asOutput() - Method in class org.tensorflow.op.linalg.LoadAndRemapMatrix

asOutput() - Method in class org.tensorflow.op.linalg.MatMul

asOutput() - Method in class org.tensorflow.op.linalg.MatrixLogarithm

asOutput() - Method in class org.tensorflow.op.linalg.MatrixSolveLs

asOutput() - Method in class org.tensorflow.op.linalg.SetDiag

asOutput() - Method in class org.tensorflow.op.linalg.Solve

asOutput() - Method in class org.tensorflow.op.linalg.Sqrtm

asOutput() - Method in class org.tensorflow.op.linalg.TensorDiag

asOutput() - Method in class org.tensorflow.op.linalg.TensorDiagPart

asOutput() - Method in class org.tensorflow.op.linalg.Transpose

asOutput() - Method in class org.tensorflow.op.linalg.TriangularSolve

asOutput() - Method in class org.tensorflow.op.math.Abs

asOutput() - Method in class org.tensorflow.op.math.AccumulateN

asOutput() - Method in class org.tensorflow.op.math.Acos

asOutput() - Method in class org.tensorflow.op.math.Acosh

asOutput() - Method in class org.tensorflow.op.math.Add

asOutput() - Method in class org.tensorflow.op.math.AddN

asOutput() - Method in class org.tensorflow.op.math.Angle

asOutput() - Method in class org.tensorflow.op.math.ApproximateEqual

asOutput() - Method in class org.tensorflow.op.math.ArgMax

asOutput() - Method in class org.tensorflow.op.math.ArgMin

asOutput() - Method in class org.tensorflow.op.math.Asin

asOutput() - Method in class org.tensorflow.op.math.Asinh

asOutput() - Method in class org.tensorflow.op.math.Atan

asOutput() - Method in class org.tensorflow.op.math.Atan2

asOutput() - Method in class org.tensorflow.op.math.Atanh

asOutput() - Method in class org.tensorflow.op.math.BesselI0e

asOutput() - Method in class org.tensorflow.op.math.BesselI1e

asOutput() - Method in class org.tensorflow.op.math.Betainc

asOutput() - Method in class org.tensorflow.op.math.Bincount

asOutput() - Method in class org.tensorflow.op.math.Ceil

asOutput() - Method in class org.tensorflow.op.math.CheckNumerics

asOutput() - Method in class org.tensorflow.op.math.CompareAndBitpack

asOutput() - Method in class org.tensorflow.op.math.ComplexAbs

asOutput() - Method in class org.tensorflow.op.math.Conj

asOutput() - Method in class org.tensorflow.op.math.Cos

asOutput() - Method in class org.tensorflow.op.math.Cosh

asOutput() - Method in class org.tensorflow.op.math.Cumprod

asOutput() - Method in class org.tensorflow.op.math.Cumsum

asOutput() - Method in class org.tensorflow.op.math.Digamma

asOutput() - Method in class org.tensorflow.op.math.Div

asOutput() - Method in class org.tensorflow.op.math.DivNoNan

asOutput() - Method in class org.tensorflow.op.math.Equal

asOutput() - Method in class org.tensorflow.op.math.Erf

asOutput() - Method in class org.tensorflow.op.math.Erfc

asOutput() - Method in class org.tensorflow.op.math.Exp

asOutput() - Method in class org.tensorflow.op.math.Expm1

asOutput() - Method in class org.tensorflow.op.math.Fact

asOutput() - Method in class org.tensorflow.op.math.Floor

asOutput() - Method in class org.tensorflow.op.math.FloorDiv

asOutput() - Method in class org.tensorflow.op.math.FloorMod

asOutput() - Method in class org.tensorflow.op.math.Greater

asOutput() - Method in class org.tensorflow.op.math.GreaterEqual

asOutput() - Method in class org.tensorflow.op.math.Igamma

asOutput() - Method in class org.tensorflow.op.math.Igammac

asOutput() - Method in class org.tensorflow.op.math.IgammaGradA

asOutput() - Method in class org.tensorflow.op.math.Imag

asOutput() - Method in class org.tensorflow.op.math.InvertPermutation

asOutput() - Method in class org.tensorflow.op.math.IsFinite

asOutput() - Method in class org.tensorflow.op.math.IsInf

asOutput() - Method in class org.tensorflow.op.math.IsNan

asOutput() - Method in class org.tensorflow.op.math.Less

asOutput() - Method in class org.tensorflow.op.math.LessEqual

asOutput() - Method in class org.tensorflow.op.math.Lgamma

asOutput() - Method in class org.tensorflow.op.math.Log

asOutput() - Method in class org.tensorflow.op.math.Log1p

asOutput() - Method in class org.tensorflow.op.math.LogicalAnd

asOutput() - Method in class org.tensorflow.op.math.LogicalNot

asOutput() - Method in class org.tensorflow.op.math.LogicalOr

asOutput() - Method in class org.tensorflow.op.math.Maximum

asOutput() - Method in class org.tensorflow.op.math.Mean

asOutput() - Method in class org.tensorflow.op.math.Minimum

asOutput() - Method in class org.tensorflow.op.math.Mod

asOutput() - Method in class org.tensorflow.op.math.Mul

asOutput() - Method in class org.tensorflow.op.math.Neg

asOutput() - Method in class org.tensorflow.op.math.NotEqual

asOutput() - Method in class org.tensorflow.op.math.Polygamma

asOutput() - Method in class org.tensorflow.op.math.PopulationCount

asOutput() - Method in class org.tensorflow.op.math.Pow

asOutput() - Method in class org.tensorflow.op.math.Real

asOutput() - Method in class org.tensorflow.op.math.RealDiv

asOutput() - Method in class org.tensorflow.op.math.Reciprocal

asOutput() - Method in class org.tensorflow.op.math.ReciprocalGrad

asOutput() - Method in class org.tensorflow.op.math.Rint

asOutput() - Method in class org.tensorflow.op.math.Round

asOutput() - Method in class org.tensorflow.op.math.Rsqrt

asOutput() - Method in class org.tensorflow.op.math.RsqrtGrad

asOutput() - Method in class org.tensorflow.op.math.SegmentMax

asOutput() - Method in class org.tensorflow.op.math.SegmentMean

asOutput() - Method in class org.tensorflow.op.math.SegmentMin

asOutput() - Method in class org.tensorflow.op.math.SegmentProd

asOutput() - Method in class org.tensorflow.op.math.SegmentSum

asOutput() - Method in class org.tensorflow.op.math.Sigmoid

asOutput() - Method in class org.tensorflow.op.math.SigmoidGrad

asOutput() - Method in class org.tensorflow.op.math.Sign

asOutput() - Method in class org.tensorflow.op.math.Sin

asOutput() - Method in class org.tensorflow.op.math.Sinh

asOutput() - Method in class org.tensorflow.op.math.Softplus

asOutput() - Method in class org.tensorflow.op.math.SoftplusGrad

asOutput() - Method in class org.tensorflow.op.math.Sqrt

asOutput() - Method in class org.tensorflow.op.math.SqrtGrad

asOutput() - Method in class org.tensorflow.op.math.Square

asOutput() - Method in class org.tensorflow.op.math.SquaredDifference

asOutput() - Method in class org.tensorflow.op.math.Sub

asOutput() - Method in class org.tensorflow.op.math.Tan

asOutput() - Method in class org.tensorflow.op.math.Tanh

asOutput() - Method in class org.tensorflow.op.math.TanhGrad

asOutput() - Method in class org.tensorflow.op.math.TruncateDiv

asOutput() - Method in class org.tensorflow.op.math.TruncateMod

asOutput() - Method in class org.tensorflow.op.math.UnsortedSegmentMax

asOutput() - Method in class org.tensorflow.op.math.UnsortedSegmentMin

asOutput() - Method in class org.tensorflow.op.math.UnsortedSegmentProd

asOutput() - Method in class org.tensorflow.op.math.UnsortedSegmentSum

asOutput() - Method in class org.tensorflow.op.math.Xdivy

asOutput() - Method in class org.tensorflow.op.math.Xlogy

asOutput() - Method in class org.tensorflow.op.math.Zeta

asOutput() - Method in class org.tensorflow.op.nn.AvgPool

asOutput() - Method in class org.tensorflow.op.nn.AvgPool3d

asOutput() - Method in class org.tensorflow.op.nn.AvgPool3dGrad

asOutput() - Method in class org.tensorflow.op.nn.AvgPoolGrad

asOutput() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization

asOutput() - Method in class org.tensorflow.op.nn.BiasAdd

asOutput() - Method in class org.tensorflow.op.nn.BiasAddGrad

asOutput() - Method in class org.tensorflow.op.nn.Conv2d

asOutput() - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter

asOutput() - Method in class org.tensorflow.op.nn.Conv2dBackpropInput

asOutput() - Method in class org.tensorflow.op.nn.Conv3d

asOutput() - Method in class org.tensorflow.op.nn.Conv3dBackpropFilter

asOutput() - Method in class org.tensorflow.op.nn.Conv3dBackpropInput

asOutput() - Method in class org.tensorflow.op.nn.CudnnRnnCanonicalToParams

asOutput() - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize

asOutput() - Method in class org.tensorflow.op.nn.DataFormatDimMap

asOutput() - Method in class org.tensorflow.op.nn.DataFormatVecPermute

asOutput() - Method in class org.tensorflow.op.nn.DepthToSpace

asOutput() - Method in class org.tensorflow.op.nn.DepthwiseConv2dNative

asOutput() - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter

asOutput() - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput

asOutput() - Method in class org.tensorflow.op.nn.Dilation2d

asOutput() - Method in class org.tensorflow.op.nn.Dilation2dBackpropFilter

asOutput() - Method in class org.tensorflow.op.nn.Dilation2dBackpropInput

asOutput() - Method in class org.tensorflow.op.nn.Elu

asOutput() - Method in class org.tensorflow.op.nn.EluGrad

asOutput() - Method in class org.tensorflow.op.nn.FractionalAvgPoolGrad

asOutput() - Method in class org.tensorflow.op.nn.FractionalMaxPoolGrad

asOutput() - Method in class org.tensorflow.op.nn.FusedPadConv2d

asOutput() - Method in class org.tensorflow.op.nn.FusedResizeAndPadConv2d

asOutput() - Method in class org.tensorflow.op.nn.InTopK

asOutput() - Method in class org.tensorflow.op.nn.InvGrad

asOutput() - Method in class org.tensorflow.op.nn.L2Loss

asOutput() - Method in class org.tensorflow.op.nn.LeakyRelu

asOutput() - Method in class org.tensorflow.op.nn.LocalResponseNormalization

asOutput() - Method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad

asOutput() - Method in class org.tensorflow.op.nn.LogSoftmax

asOutput() - Method in class org.tensorflow.op.nn.MaxPool

asOutput() - Method in class org.tensorflow.op.nn.MaxPool3d

asOutput() - Method in class org.tensorflow.op.nn.MaxPool3dGrad

asOutput() - Method in class org.tensorflow.op.nn.MaxPool3dGradGrad

asOutput() - Method in class org.tensorflow.op.nn.MaxPoolGrad

asOutput() - Method in class org.tensorflow.op.nn.MaxPoolGradGrad

asOutput() - Method in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax

asOutput() - Method in class org.tensorflow.op.nn.MaxPoolGradWithArgmax

asOutput() - Method in class org.tensorflow.op.nn.NthElement

asOutput() - Method in class org.tensorflow.op.nn.Relu

asOutput() - Method in class org.tensorflow.op.nn.Relu6

asOutput() - Method in class org.tensorflow.op.nn.Relu6Grad

asOutput() - Method in class org.tensorflow.op.nn.ReluGrad

asOutput() - Method in class org.tensorflow.op.nn.Selu

asOutput() - Method in class org.tensorflow.op.nn.SeluGrad

asOutput() - Method in class org.tensorflow.op.nn.Softmax

asOutput() - Method in class org.tensorflow.op.nn.Softsign

asOutput() - Method in class org.tensorflow.op.nn.SoftsignGrad

asOutput() - Method in class org.tensorflow.op.nn.SpaceToBatch

asOutput() - Method in class org.tensorflow.op.nn.SpaceToDepth

asOutput() - Method in class org.tensorflow.op.quantization.Dequantize

asOutput() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs

asOutput() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient

asOutput() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars

asOutput() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel

asOutput() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantize

asOutput() - Method in class org.tensorflow.op.random.Multinomial

asOutput() - Method in class org.tensorflow.op.random.ParameterizedTruncatedNormal

asOutput() - Method in class org.tensorflow.op.random.RandomGamma

asOutput() - Method in class org.tensorflow.op.random.RandomGammaGrad

asOutput() - Method in class org.tensorflow.op.random.RandomPoisson

asOutput() - Method in class org.tensorflow.op.random.RandomShuffle

asOutput() - Method in class org.tensorflow.op.random.RandomStandardNormal

asOutput() - Method in class org.tensorflow.op.random.RandomUniform

asOutput() - Method in class org.tensorflow.op.random.RandomUniformInt

asOutput() - Method in class org.tensorflow.op.random.RecordInput

asOutput() - Method in class org.tensorflow.op.random.StatelessMultinomial

asOutput() - Method in class org.tensorflow.op.random.StatelessRandomNormal

asOutput() - Method in class org.tensorflow.op.random.StatelessRandomUniform

asOutput() - Method in class org.tensorflow.op.random.StatelessRandomUniformInt

asOutput() - Method in class org.tensorflow.op.random.StatelessTruncatedNormal

asOutput() - Method in class org.tensorflow.op.random.TruncatedNormal

asOutput() - Method in class org.tensorflow.op.signal.BatchFft

asOutput() - Method in class org.tensorflow.op.signal.BatchFft2d

asOutput() - Method in class org.tensorflow.op.signal.BatchFft3d

asOutput() - Method in class org.tensorflow.op.signal.BatchIfft

asOutput() - Method in class org.tensorflow.op.signal.BatchIfft2d

asOutput() - Method in class org.tensorflow.op.signal.BatchIfft3d

asOutput() - Method in class org.tensorflow.op.signal.Fft

asOutput() - Method in class org.tensorflow.op.signal.Fft2d

asOutput() - Method in class org.tensorflow.op.signal.Fft3d

asOutput() - Method in class org.tensorflow.op.signal.Ifft

asOutput() - Method in class org.tensorflow.op.signal.Ifft2d

asOutput() - Method in class org.tensorflow.op.signal.Ifft3d

asOutput() - Method in class org.tensorflow.op.signal.Irfft

asOutput() - Method in class org.tensorflow.op.signal.Irfft2d

asOutput() - Method in class org.tensorflow.op.signal.Irfft3d

asOutput() - Method in class org.tensorflow.op.signal.Rfft

asOutput() - Method in class org.tensorflow.op.signal.Rfft2d

asOutput() - Method in class org.tensorflow.op.signal.Rfft3d

asOutput() - Method in class org.tensorflow.op.sparse.AddManySparseToTensorsMap

asOutput() - Method in class org.tensorflow.op.sparse.AddSparseToTensorsMap

asOutput() - Method in class org.tensorflow.op.sparse.SparseConditionalAccumulator

asOutput() - Method in class org.tensorflow.op.sparse.SparseDenseCwiseAdd

asOutput() - Method in class org.tensorflow.op.sparse.SparseDenseCwiseDiv

asOutput() - Method in class org.tensorflow.op.sparse.SparseDenseCwiseMul

asOutput() - Method in class org.tensorflow.op.sparse.SparseMatMul

asOutput() - Method in class org.tensorflow.op.sparse.SparseReduceMax

asOutput() - Method in class org.tensorflow.op.sparse.SparseReduceSum

asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentMean

asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentMeanGrad

asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments

asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentSqrtN

asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad

asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments

asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentSum

asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments

asOutput() - Method in class org.tensorflow.op.sparse.SparseSliceGrad

asOutput() - Method in class org.tensorflow.op.sparse.SparseSoftmax

asOutput() - Method in class org.tensorflow.op.sparse.SparseTensorDenseAdd

asOutput() - Method in class org.tensorflow.op.sparse.SparseTensorDenseMatMul

asOutput() - Method in class org.tensorflow.op.sparse.SparseToDense

asOutput() - Method in class org.tensorflow.op.strings.Join

asOutput() - Method in class org.tensorflow.op.strings.ReduceJoin

asOutput() - Method in class org.tensorflow.op.strings.RegexFullMatch

asOutput() - Method in class org.tensorflow.op.strings.RegexReplace

asOutput() - Method in class org.tensorflow.op.strings.StaticRegexFullMatch

asOutput() - Method in class org.tensorflow.op.strings.StaticRegexReplace

asOutput() - Method in class org.tensorflow.op.strings.StringFormat

asOutput() - Method in class org.tensorflow.op.strings.StringLength

asOutput() - Method in class org.tensorflow.op.strings.Strip

asOutput() - Method in class org.tensorflow.op.strings.Substr

asOutput() - Method in class org.tensorflow.op.strings.ToHashBucket

asOutput() - Method in class org.tensorflow.op.strings.ToHashBucketFast

asOutput() - Method in class org.tensorflow.op.strings.ToHashBucketStrong

asOutput() - Method in class org.tensorflow.op.strings.ToNumber

asOutput() - Method in class org.tensorflow.op.strings.UnicodeScript

asOutput() - Method in class org.tensorflow.op.strings.UnicodeTranscode

asOutput() - Method in class org.tensorflow.op.summary.AudioSummary

asOutput() - Method in class org.tensorflow.op.summary.HistogramSummary

asOutput() - Method in class org.tensorflow.op.summary.ImageSummary

asOutput() - Method in class org.tensorflow.op.summary.MergeSummary

asOutput() - Method in class org.tensorflow.op.summary.ScalarSummary

asOutput() - Method in class org.tensorflow.op.summary.StatsAggregatorSummary

asOutput() - Method in class org.tensorflow.op.summary.SummaryWriter

asOutput() - Method in class org.tensorflow.op.summary.TensorSummary

asOutput() - Method in class org.tensorflow.op.train.AccumulatorNumAccumulated

asOutput() - Method in class org.tensorflow.op.train.AccumulatorTakeGradient

asOutput() - Method in class org.tensorflow.op.train.ApplyAdadelta

asOutput() - Method in class org.tensorflow.op.train.ApplyAdagrad

asOutput() - Method in class org.tensorflow.op.train.ApplyAdagradDa

asOutput() - Method in class org.tensorflow.op.train.ApplyAdam

asOutput() - Method in class org.tensorflow.op.train.ApplyAdaMax

asOutput() - Method in class org.tensorflow.op.train.ApplyAddSign

asOutput() - Method in class org.tensorflow.op.train.ApplyCenteredRmsProp

asOutput() - Method in class org.tensorflow.op.train.ApplyFtrl

asOutput() - Method in class org.tensorflow.op.train.ApplyGradientDescent

asOutput() - Method in class org.tensorflow.op.train.ApplyMomentum

asOutput() - Method in class org.tensorflow.op.train.ApplyPowerSign

asOutput() - Method in class org.tensorflow.op.train.ApplyProximalAdagrad

asOutput() - Method in class org.tensorflow.op.train.ApplyProximalGradientDescent

asOutput() - Method in class org.tensorflow.op.train.ApplyRmsProp

asOutput() - Method in class org.tensorflow.op.train.ConditionalAccumulator

asOutput() - Method in class org.tensorflow.op.train.PreventGradient

asOutput() - Method in class org.tensorflow.op.train.RestoreSlice

asOutput() - Method in class org.tensorflow.op.train.SdcaFprint

asOutput() - Method in class org.tensorflow.op.train.SparseApplyAdadelta

asOutput() - Method in class org.tensorflow.op.train.SparseApplyAdagrad

asOutput() - Method in class org.tensorflow.op.train.SparseApplyAdagradDa

asOutput() - Method in class org.tensorflow.op.train.SparseApplyCenteredRmsProp

asOutput() - Method in class org.tensorflow.op.train.SparseApplyFtrl

asOutput() - Method in class org.tensorflow.op.train.SparseApplyMomentum

asOutput() - Method in class org.tensorflow.op.train.SparseApplyProximalAdagrad

asOutput() - Method in class org.tensorflow.op.train.SparseApplyProximalGradientDescent

asOutput() - Method in class org.tensorflow.op.train.SparseApplyRmsProp

asOutput() - Method in class org.tensorflow.op.train.TileGrad

asOutput() - Method in interface org.tensorflow.Operand

Returns the symbolic handle of a tensor.

asOutput() - Method in class org.tensorflow.Output

asOutputs(Iterable<? extends Operand<?>>) - Static method in class org.tensorflow.op.Operands

Converts a list of Operand into an array of Output.

aspectRatioRange(List<Float>) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox

aspectRatioRange(List<Float>) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options

assertThat(Operand<Boolean>, Iterable<Operand<?>>, AssertThat.Options...) - Method in class org.tensorflow.op.Ops

Adds an AssertThat operation to the graph

AssertThat - Class in org.tensorflow.op.core

Asserts that the given condition is true.

AssertThat.Options - Class in org.tensorflow.op.core

Optional attributes for AssertThat

assign(Operand<T>, Operand<T>, Assign.Options...) - Method in class org.tensorflow.op.Ops

Adds an Assign operation to the graph

Assign<T> - Class in org.tensorflow.op.core

Update 'ref' by assigning 'value' to it.

Assign.Options - Class in org.tensorflow.op.core

Optional attributes for Assign

assignAdd(Operand<T>, Operand<T>, AssignAdd.Options...) - Method in class org.tensorflow.op.Ops

Adds an AssignAdd operation to the graph

AssignAdd<T> - Class in org.tensorflow.op.core

Update 'ref' by adding 'value' to it.

AssignAdd.Options - Class in org.tensorflow.op.core

Optional attributes for AssignAdd

assignAddVariableOp(Operand<?>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an AssignAddVariableOp operation to the graph

AssignAddVariableOp - Class in org.tensorflow.op.core

Adds a value to the current value of a variable.

assignSub(Operand<T>, Operand<T>, AssignSub.Options...) - Method in class org.tensorflow.op.Ops

Adds an AssignSub operation to the graph

AssignSub<T> - Class in org.tensorflow.op.core

Update 'ref' by subtracting 'value' from it.

AssignSub.Options - Class in org.tensorflow.op.core

Optional attributes for AssignSub

assignSubVariableOp(Operand<?>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an AssignSubVariableOp operation to the graph

AssignSubVariableOp - Class in org.tensorflow.op.core

Subtracts a value from the current value of a variable.

assignVariableOp(Operand<?>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an AssignVariableOp operation to the graph

AssignVariableOp - Class in org.tensorflow.op.core

Assigns a new value to a variable.

asString(Operand<T>, AsString.Options...) - Method in class org.tensorflow.op.DtypesOps

Adds an AsString operation to the graph

AsString - Class in org.tensorflow.op.dtypes

Converts each entry in the given tensor to strings.

AsString.Options - Class in org.tensorflow.op.dtypes

Optional attributes for AsString

atan(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Atan operation to the graph

Atan<T> - Class in org.tensorflow.op.math

Computes atan of x element-wise.

atan2(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Atan2 operation to the graph

Atan2<T extends java.lang.Number> - Class in org.tensorflow.op.math

Computes arctangent of `y/x` element-wise, respecting signs of the arguments.

atanh(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Atanh operation to the graph

Atanh<T> - Class in org.tensorflow.op.math

Computes inverse hyperbolic tangent of x element-wise.

audio - Variable in class org.tensorflow.op.Ops

audio() - Method in class org.tensorflow.op.audio.DecodeWav

2-D with shape `[length, channels]`.

audio() - Method in class org.tensorflow.op.Ops

Returns an API for adding audio operations to the graph

AudioOps - Class in org.tensorflow.op

An API for adding audio operations to a Graph

audioSpectrogram(Operand<Float>, Long, Long, AudioSpectrogram.Options...) - Method in class org.tensorflow.op.AudioOps

Adds an AudioSpectrogram operation to the graph

AudioSpectrogram - Class in org.tensorflow.op.audio

Produces a visualization of audio data over time.

AudioSpectrogram.Options - Class in org.tensorflow.op.audio

Optional attributes for AudioSpectrogram

audioSummary(Operand<String>, Operand<Float>, Operand<Float>, AudioSummary.Options...) - Method in class org.tensorflow.op.SummaryOps

Adds an AudioSummary operation to the graph

AudioSummary - Class in org.tensorflow.op.summary

Outputs a `Summary` protocol buffer with audio.

AudioSummary.Options - Class in org.tensorflow.op.summary

Optional attributes for AudioSummary

aValGrad() - Method in class org.tensorflow.op.sparse.SparseAddGrad

1-D with shape `[nnz(A)]`.

average() - Method in class org.tensorflow.op.train.AccumulatorTakeGradient

The average of the accumulated gradients.

avgPool(Operand<T>, List<Long>, List<Long>, String, AvgPool.Options...) - Method in class org.tensorflow.op.NnOps

Adds an AvgPool operation to the graph

AvgPool<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Performs average pooling on the input.

AvgPool.Options - Class in org.tensorflow.op.nn

Optional attributes for AvgPool

avgPool3d(Operand<T>, List<Long>, List<Long>, String, AvgPool3d.Options...) - Method in class org.tensorflow.op.NnOps

Adds an AvgPool3d operation to the graph

AvgPool3d<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Performs 3D average pooling on the input.

AvgPool3d.Options - Class in org.tensorflow.op.nn

Optional attributes for AvgPool3d

avgPool3dGrad(Operand<Integer>, Operand<T>, List<Long>, List<Long>, String, AvgPool3dGrad.Options...) - Method in class org.tensorflow.op.NnOps

Adds an AvgPool3dGrad operation to the graph

AvgPool3dGrad<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes gradients of average pooling function.

AvgPool3dGrad.Options - Class in org.tensorflow.op.nn

Optional attributes for AvgPool3dGrad

AvgPoolGrad<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes gradients of the average pooling function.

AvgPoolGrad.Options - Class in org.tensorflow.op.nn

Optional attributes for AvgPoolGrad

axis(Long) - Static method in class org.tensorflow.op.core.OneHot

axis(Long) - Method in class org.tensorflow.op.core.OneHot.Options

axis(Long) - Static method in class org.tensorflow.op.core.Stack

axis(Long) - Method in class org.tensorflow.op.core.Stack.Options

axis(Long) - Static method in class org.tensorflow.op.core.Unstack

axis(Long) - Method in class org.tensorflow.op.core.Unstack.Options

axis(List<Long>) - Static method in class org.tensorflow.op.core.Squeeze

axis(List<Long>) - Method in class org.tensorflow.op.core.Squeeze.Options

B

backprop() - Method in class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits

backpropagated gradients (batch_size x num_classes matrix).

backprop() - Method in class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits

backpropagated gradients (batch_size x num_classes matrix).

backprops() - Method in class org.tensorflow.op.data.LeakyReluGrad

`gradients * (features > 0) + alpha * gradients * (featurs <= 0)`.

backprops() - Method in class org.tensorflow.op.math.SoftplusGrad

The gradients: `gradients / (1 + exp(-features))`.

backprops() - Method in class org.tensorflow.op.nn.EluGrad

The gradients: `gradients * (outputs + 1)` if outputs < 0, `gradients` otherwise.

backprops() - Method in class org.tensorflow.op.nn.Relu6Grad

The gradients: `gradients * (features > 0) * (features < 6)`.

backprops() - Method in class org.tensorflow.op.nn.ReluGrad

`gradients * (features > 0)`.

backprops() - Method in class org.tensorflow.op.nn.SeluGrad

The gradients: `gradients * (outputs + scale * alpha)` if outputs < 0, `scale * gradients` otherwise.

backprops() - Method in class org.tensorflow.op.nn.SoftsignGrad

The gradients: `gradients / (1 + abs(features)) ** 2`.

backprops() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient

Backpropagated gradients below the FakeQuantWithMinMaxArgs operation: `gradients * (inputs >= min && inputs <= max)`.

backpropsWrtInput() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient

Backpropagated gradients w.r.t.

backpropsWrtInput() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient

Backpropagated gradients w.r.t.

backpropWrtMax() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient

Backpropagated gradients w.r.t.

backpropWrtMax() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient

Backpropagated gradients w.r.t.

backpropWrtMin() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient

Backpropagated gradients w.r.t.

backpropWrtMin() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient

Backpropagated gradients w.r.t.

badColor(Tensor<?>) - Static method in class org.tensorflow.op.summary.ImageSummary

badColor(Tensor<?>) - Method in class org.tensorflow.op.summary.ImageSummary.Options

band() - Method in class org.tensorflow.op.linalg.BandPart

Rank `k` tensor of the same shape as input.

band() - Method in class org.tensorflow.op.linalg.BatchMatrixBandPart

bandPart(Operand<T>, Operand<U>, Operand<U>) - Method in class org.tensorflow.op.LinalgOps

Adds an BandPart operation to the graph

BandPart<T> - Class in org.tensorflow.op.linalg

Copy a tensor setting everything outside a central band in each innermost matrix

barrier(List<Class<?>>, Barrier.Options...) - Method in class org.tensorflow.op.Ops

Adds an Barrier operation to the graph

Barrier - Class in org.tensorflow.op.core

Defines a barrier that persists across different graph executions.

Barrier.Options - Class in org.tensorflow.op.core

Optional attributes for Barrier

barrierClose(Operand<String>, BarrierClose.Options...) - Method in class org.tensorflow.op.Ops

Adds an BarrierClose operation to the graph

BarrierClose - Class in org.tensorflow.op.core

Closes the given barrier.

BarrierClose.Options - Class in org.tensorflow.op.core

Optional attributes for BarrierClose

barrierIncompleteSize(Operand<String>) - Method in class org.tensorflow.op.Ops

Adds an BarrierIncompleteSize operation to the graph

BarrierIncompleteSize - Class in org.tensorflow.op.core

Computes the number of incomplete elements in the given barrier.

barrierInsertMany(Operand<String>, Operand<String>, Operand<T>, Long) - Method in class org.tensorflow.op.Ops

Adds an BarrierInsertMany operation to the graph

BarrierInsertMany - Class in org.tensorflow.op.core

For each key, assigns the respective value to the specified component.

barrierReadySize(Operand<String>) - Method in class org.tensorflow.op.Ops

Adds an BarrierReadySize operation to the graph

BarrierReadySize - Class in org.tensorflow.op.core

Computes the number of complete elements in the given barrier.

barrierTakeMany(Operand<String>, Operand<Integer>, List<Class<?>>, BarrierTakeMany.Options...) - Method in class org.tensorflow.op.Ops

Adds an BarrierTakeMany operation to the graph

BarrierTakeMany - Class in org.tensorflow.op.core

Takes the given number of completed elements from a barrier.

BarrierTakeMany.Options - Class in org.tensorflow.op.core

Optional attributes for BarrierTakeMany

batch(Iterable<Operand<?>>, Long, Long, Long, Long, Batch.Options...) - Method in class org.tensorflow.op.Ops

Adds an Batch operation to the graph

Batch - Class in org.tensorflow.op.core

Batches all input tensors nondeterministically.

Batch.Options - Class in org.tensorflow.op.core

Optional attributes for Batch

batchCholesky(Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Adds an BatchCholesky operation to the graph

BatchCholesky<T extends java.lang.Number> - Class in org.tensorflow.op.linalg

batchCholeskyGrad(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Adds an BatchCholeskyGrad operation to the graph

BatchCholeskyGrad<T extends java.lang.Number> - Class in org.tensorflow.op.linalg

BatchDataset - Class in org.tensorflow.op.data

Creates a dataset that batches `batch_size` elements from `input_dataset`.

batchDim(Long) - Static method in class org.tensorflow.op.core.ReverseSequence

batchDim(Long) - Method in class org.tensorflow.op.core.ReverseSequence.Options

batchedGrad() - Method in class org.tensorflow.op.core.UnbatchGrad

batchedTensors() - Method in class org.tensorflow.op.core.Batch

batchFft(Operand<?>) - Method in class org.tensorflow.op.SignalOps

Adds an BatchFft operation to the graph

BatchFft - Class in org.tensorflow.op.signal

batchFft2d(Operand<?>) - Method in class org.tensorflow.op.SignalOps

Adds an BatchFft2d operation to the graph

BatchFft2d - Class in org.tensorflow.op.signal

batchFft3d(Operand<?>) - Method in class org.tensorflow.op.SignalOps

Adds an BatchFft3d operation to the graph

BatchFft3d - Class in org.tensorflow.op.signal

batchIfft(Operand<?>) - Method in class org.tensorflow.op.SignalOps

Adds an BatchIfft operation to the graph

BatchIfft - Class in org.tensorflow.op.signal

batchIfft2d(Operand<?>) - Method in class org.tensorflow.op.SignalOps

Adds an BatchIfft2d operation to the graph

BatchIfft2d - Class in org.tensorflow.op.signal

batchIfft3d(Operand<?>) - Method in class org.tensorflow.op.SignalOps

Adds an BatchIfft3d operation to the graph

BatchIfft3d - Class in org.tensorflow.op.signal

batchIndex() - Method in class org.tensorflow.op.core.Batch

batchingQueue(String) - Static method in class org.tensorflow.op.core.Batch

batchingQueue(String) - Method in class org.tensorflow.op.core.Batch.Options

batchMatMul(Operand<T>, Operand<T>, BatchMatMul.Options...) - Method in class org.tensorflow.op.LinalgOps

Adds an BatchMatMul operation to the graph

BatchMatMul<T> - Class in org.tensorflow.op.linalg

Multiplies slices of two tensors in batches.

BatchMatMul.Options - Class in org.tensorflow.op.linalg

Optional attributes for BatchMatMul

batchMatrixBandPart(Operand<T>, Operand<Long>, Operand<Long>) - Method in class org.tensorflow.op.LinalgOps

Adds an BatchMatrixBandPart operation to the graph

BatchMatrixBandPart<T> - Class in org.tensorflow.op.linalg

batchMatrixDeterminant(Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Adds an BatchMatrixDeterminant operation to the graph

BatchMatrixDeterminant<T> - Class in org.tensorflow.op.linalg

batchMatrixDiag(Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Adds an BatchMatrixDiag operation to the graph

BatchMatrixDiag<T> - Class in org.tensorflow.op.linalg

batchMatrixDiagPart(Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Adds an BatchMatrixDiagPart operation to the graph

BatchMatrixDiagPart<T> - Class in org.tensorflow.op.linalg

batchMatrixInverse(Operand<T>, BatchMatrixInverse.Options...) - Method in class org.tensorflow.op.LinalgOps

Adds an BatchMatrixInverse operation to the graph

BatchMatrixInverse<T extends java.lang.Number> - Class in org.tensorflow.op.linalg

BatchMatrixInverse.Options - Class in org.tensorflow.op.linalg

Optional attributes for BatchMatrixInverse

batchMatrixSetDiag(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Adds an BatchMatrixSetDiag operation to the graph

BatchMatrixSetDiag<T> - Class in org.tensorflow.op.linalg

batchMatrixSolve(Operand<T>, Operand<T>, BatchMatrixSolve.Options...) - Method in class org.tensorflow.op.LinalgOps

Adds an BatchMatrixSolve operation to the graph

BatchMatrixSolve<T extends java.lang.Number> - Class in org.tensorflow.op.linalg

BatchMatrixSolve.Options - Class in org.tensorflow.op.linalg

Optional attributes for BatchMatrixSolve

batchMatrixSolveLs(Operand<T>, Operand<T>, Operand<Double>, BatchMatrixSolveLs.Options...) - Method in class org.tensorflow.op.LinalgOps

Adds an BatchMatrixSolveLs operation to the graph

BatchMatrixSolveLs<T extends java.lang.Number> - Class in org.tensorflow.op.linalg

BatchMatrixSolveLs.Options - Class in org.tensorflow.op.linalg

Optional attributes for BatchMatrixSolveLs

batchMatrixTriangularSolve(Operand<T>, Operand<T>, BatchMatrixTriangularSolve.Options...) - Method in class org.tensorflow.op.LinalgOps

Adds an BatchMatrixTriangularSolve operation to the graph

BatchMatrixTriangularSolve<T extends java.lang.Number> - Class in org.tensorflow.op.linalg

BatchMatrixTriangularSolve.Options - Class in org.tensorflow.op.linalg

Optional attributes for BatchMatrixTriangularSolve

batchMean() - Method in class org.tensorflow.op.nn.FusedBatchNorm

A 1D Tensor for the computed batch mean, to be used by TensorFlow to compute the running mean.

batchNormWithGlobalNormalization(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Float, Boolean) - Method in class org.tensorflow.op.NnOps

Adds an BatchNormWithGlobalNormalization operation to the graph

BatchNormWithGlobalNormalization<T> - Class in org.tensorflow.op.nn

Batch normalization.

batchNormWithGlobalNormalizationGrad(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Float, Boolean) - Method in class org.tensorflow.op.NnOps

Adds an BatchNormWithGlobalNormalizationGrad operation to the graph

BatchNormWithGlobalNormalizationGrad<T> - Class in org.tensorflow.op.nn

Gradients for batch normalization.

batchSelfAdjointEig(Operand<T>, BatchSelfAdjointEig.Options...) - Method in class org.tensorflow.op.LinalgOps

Adds an BatchSelfAdjointEig operation to the graph

BatchSelfAdjointEig<T extends java.lang.Number> - Class in org.tensorflow.op.linalg

BatchSelfAdjointEig.Options - Class in org.tensorflow.op.linalg

Optional attributes for BatchSelfAdjointEig

batchSize(Long) - Static method in class org.tensorflow.op.random.RecordInput

batchSize(Long) - Method in class org.tensorflow.op.random.RecordInput.Options

batchSvd(Operand<T>, BatchSvd.Options...) - Method in class org.tensorflow.op.LinalgOps

Adds an BatchSvd operation to the graph

BatchSvd<T> - Class in org.tensorflow.op.linalg

BatchSvd.Options - Class in org.tensorflow.op.linalg

Optional attributes for BatchSvd

batchToSpace(Operand<T>, Operand<U>, Long) - Method in class org.tensorflow.op.Ops

Adds an BatchToSpace operation to the graph

BatchToSpace<T> - Class in org.tensorflow.op.core

BatchToSpace for 4-D tensors of type T.

batchToSpaceNd(Operand<T>, Operand<U>, Operand<V>) - Method in class org.tensorflow.op.Ops

Adds an BatchToSpaceNd operation to the graph

BatchToSpaceNd<T> - Class in org.tensorflow.op.core

BatchToSpace for N-D tensors of type T.

batchVariance() - Method in class org.tensorflow.op.nn.FusedBatchNorm

A 1D Tensor for the computed batch variance, to be used by TensorFlow to compute the running variance.

bboxes() - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox

3-D with shape `[1, 1, 4]` containing the distorted bounding box.

begin() - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox

1-D, containing `[offset_height, offset_width, 0]`.

beginMask(Long) - Static method in class org.tensorflow.op.core.ResourceStridedSliceAssign

beginMask(Long) - Method in class org.tensorflow.op.core.ResourceStridedSliceAssign.Options

beginMask(Long) - Static method in class org.tensorflow.op.core.StridedSlice

beginMask(Long) - Method in class org.tensorflow.op.core.StridedSlice.Options

beginMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceAssign

beginMask(Long) - Method in class org.tensorflow.op.core.StridedSliceAssign.Options

beginMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceGrad

beginMask(Long) - Method in class org.tensorflow.op.core.StridedSliceGrad.Options

besselI0e(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an BesselI0e operation to the graph

BesselI0e<T extends java.lang.Number> - Class in org.tensorflow.op.math

Computes the Bessel i0e function of `x` element-wise.

besselI1e(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an BesselI1e operation to the graph

BesselI1e<T extends java.lang.Number> - Class in org.tensorflow.op.math

Computes the Bessel i1e function of `x` element-wise.

beta(Float) - Static method in class org.tensorflow.op.nn.LocalResponseNormalization

beta(Float) - Method in class org.tensorflow.op.nn.LocalResponseNormalization.Options

beta(Float) - Static method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad

beta(Float) - Method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Options

betainc(Operand<T>, Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Betainc operation to the graph

Betainc<T extends java.lang.Number> - Class in org.tensorflow.op.math

Compute the regularized incomplete beta integral \\(I_x(a, b)\\).

bias(Float) - Static method in class org.tensorflow.op.nn.LocalResponseNormalization

bias(Float) - Method in class org.tensorflow.op.nn.LocalResponseNormalization.Options

bias(Float) - Static method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad

bias(Float) - Method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Options

biasAdd(Operand<T>, Operand<T>, BiasAdd.Options...) - Method in class org.tensorflow.op.NnOps

Adds an BiasAdd operation to the graph

BiasAdd<T> - Class in org.tensorflow.op.nn

Adds `bias` to `value`.

BiasAdd.Options - Class in org.tensorflow.op.nn

Optional attributes for BiasAdd

biasAddGrad(Operand<T>, BiasAddGrad.Options...) - Method in class org.tensorflow.op.NnOps

Adds an BiasAddGrad operation to the graph

BiasAddGrad<T> - Class in org.tensorflow.op.nn

The backward operation for "BiasAdd" on the "bias" tensor.

BiasAddGrad.Options - Class in org.tensorflow.op.nn

Optional attributes for BiasAddGrad

biases() - Method in class org.tensorflow.op.nn.CudnnRnnParamsToCanonical

bigQueryReader(String, String, String, List<String>, Long, BigQueryReader.Options...) - Method in class org.tensorflow.op.IoOps

Adds an BigQueryReader operation to the graph

BigQueryReader - Class in org.tensorflow.op.io

A Reader that outputs rows from a BigQuery table as tensorflow Examples.

BigQueryReader.Options - Class in org.tensorflow.op.io

Optional attributes for BigQueryReader

binaryExamples() - Method in class org.tensorflow.op.io.DecodeJsonExample

Each string is a binary Example protocol buffer corresponding to the respective element of `json_examples`.

bincount(Operand<Integer>, Operand<Integer>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Bincount operation to the graph

Bincount<T extends java.lang.Number> - Class in org.tensorflow.op.math

Counts the number of occurrences of each value in an integer array.

bins() - Method in class org.tensorflow.op.math.Bincount

1D `Tensor` with length equal to `size`.

bIsSparse(Boolean) - Static method in class org.tensorflow.op.sparse.SparseMatMul

bIsSparse(Boolean) - Method in class org.tensorflow.op.sparse.SparseMatMul.Options

bitcast(Operand<T>, Class<U>) - Method in class org.tensorflow.op.Ops

Adds an Bitcast operation to the graph

Bitcast<U> - Class in org.tensorflow.op.core

Bitcasts a tensor from one type to another without copying data.

bitwise - Variable in class org.tensorflow.op.Ops

bitwise() - Method in class org.tensorflow.op.Ops

Returns an API for adding bitwise operations to the graph

bitwiseAnd(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.BitwiseOps

Adds an BitwiseAnd operation to the graph

BitwiseAnd<T extends java.lang.Number> - Class in org.tensorflow.op.bitwise

Elementwise computes the bitwise AND of `x` and `y`.

BitwiseOps - Class in org.tensorflow.op

An API for adding bitwise operations to a Graph

bitwiseOr(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.BitwiseOps

Adds an BitwiseOr operation to the graph

BitwiseOr<T extends java.lang.Number> - Class in org.tensorflow.op.bitwise

Elementwise computes the bitwise OR of `x` and `y`.

bitwiseXor(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.BitwiseOps

Adds an BitwiseXor operation to the graph

BitwiseXor<T extends java.lang.Number> - Class in org.tensorflow.op.bitwise

Elementwise computes the bitwise XOR of `x` and `y`.

BOOL - org.tensorflow.DataType

Boolean.

booleanValue() - Method in class org.tensorflow.Tensor

Returns the value in a scalar Boolean tensor.

BoostedTreesBucketize - Class in org.tensorflow.op.core

Bucketize each feature based on bucket boundaries.

BoostedTreesCalculateBestGainsPerFeature - Class in org.tensorflow.op.core

Calculates gains for each feature and returns the best possible split information for the feature.

BoostedTreesCenterBias - Class in org.tensorflow.op.core

Calculates the prior from the training data (the bias) and fills in the first node with the logits' prior.

BoostedTreesCreateEnsemble - Class in org.tensorflow.op.core

Creates a tree ensemble model and returns a handle to it.

BoostedTreesCreateQuantileStreamResource - Class in org.tensorflow.op.core

Create the Resource for Quantile Streams.

BoostedTreesCreateQuantileStreamResource.Options - Class in org.tensorflow.op.core

Optional attributes for BoostedTreesCreateQuantileStreamResource

BoostedTreesDeserializeEnsemble - Class in org.tensorflow.op.core

Deserializes a serialized tree ensemble config and replaces current tree

BoostedTreesEnsembleResourceHandleOp - Class in org.tensorflow.op.core

Creates a handle to a BoostedTreesEnsembleResource

BoostedTreesEnsembleResourceHandleOp.Options - Class in org.tensorflow.op.core

Optional attributes for BoostedTreesEnsembleResourceHandleOp

BoostedTreesExampleDebugOutputs - Class in org.tensorflow.op.core

Debugging/model interpretability outputs for each example.

BoostedTreesGetEnsembleStates - Class in org.tensorflow.op.core

Retrieves the tree ensemble resource stamp token, number of trees and growing statistics.

BoostedTreesMakeQuantileSummaries - Class in org.tensorflow.op.core

Makes the summary of quantiles for the batch.

BoostedTreesMakeStatsSummary - Class in org.tensorflow.op.core

Makes the summary of accumulated stats for the batch.

BoostedTreesPredict - Class in org.tensorflow.op.core

Runs multiple additive regression ensemble predictors on input instances and

BoostedTreesQuantileStreamResourceAddSummaries - Class in org.tensorflow.op.core

Add the quantile summaries to each quantile stream resource.

BoostedTreesQuantileStreamResourceDeserialize - Class in org.tensorflow.op.core

Deserialize bucket boundaries and ready flag into current QuantileAccumulator.

BoostedTreesQuantileStreamResourceFlush - Class in org.tensorflow.op.core

Flush the summaries for a quantile stream resource.

BoostedTreesQuantileStreamResourceFlush.Options - Class in org.tensorflow.op.core

Optional attributes for BoostedTreesQuantileStreamResourceFlush

BoostedTreesQuantileStreamResourceGetBucketBoundaries - Class in org.tensorflow.op.core

Generate the bucket boundaries for each feature based on accumulated summaries.

BoostedTreesQuantileStreamResourceHandleOp - Class in org.tensorflow.op.core

Creates a handle to a BoostedTreesQuantileStreamResource.

BoostedTreesQuantileStreamResourceHandleOp.Options - Class in org.tensorflow.op.core

Optional attributes for BoostedTreesQuantileStreamResourceHandleOp

BoostedTreesSerializeEnsemble - Class in org.tensorflow.op.core

Serializes the tree ensemble to a proto.

BoostedTreesTrainingPredict - Class in org.tensorflow.op.core

Runs multiple additive regression ensemble predictors on input instances and

BoostedTreesUpdateEnsemble - Class in org.tensorflow.op.core

Updates the tree ensemble by either adding a layer to the last tree being grown

broadcastDynamicShape(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an BroadcastDynamicShape operation to the graph

BroadcastDynamicShape<T extends java.lang.Number> - Class in org.tensorflow.op.core

Return the shape of s0 op s1 with broadcast.

BroadcastGradientArgs<T extends java.lang.Number> - Class in org.tensorflow.op.core

Return the reduction indices for computing gradients of s0 op s1 with broadcast.

BroadcastRecv<T extends java.lang.Number> - Class in org.tensorflow.op.collective

Receives a tensor value broadcast from another device.

BroadcastSend<T extends java.lang.Number> - Class in org.tensorflow.op.collective

Broadcasts a tensor value to one or more other devices.

broadcastTo(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an BroadcastTo operation to the graph

BroadcastTo<T> - Class in org.tensorflow.op.core

Broadcast an array for a compatible shape.

bucketBoundaries() - Method in class org.tensorflow.op.core.BoostedTreesQuantileStreamResourceGetBucketBoundaries

float; List of Rank 1 Tensors each containing the bucket boundaries for a feature.

bucketize(Operand<T>, List<Float>) - Method in class org.tensorflow.op.Ops

Adds an Bucketize operation to the graph

Bucketize - Class in org.tensorflow.op.core

Bucketizes 'input' based on 'boundaries'.

buckets() - Method in class org.tensorflow.op.core.BoostedTreesBucketize

int; List of Rank 1 Tensors each containing the bucketized values for a single feature.

build() - Method in class org.tensorflow.OperationBuilder

Add the Operation being built to the Graph.

bValGrad() - Method in class org.tensorflow.op.sparse.SparseAddGrad

1-D with shape `[nnz(B)]`.

bytes() - Method in class org.tensorflow.op.core.EncodeProto

Tensor of serialized protos with shape `batch_shape`.

byteSize() - Method in enum org.tensorflow.DataType

Returns the size of an element of this type, in bytes, or -1 if element size is variable.

bytesProducedStatsDataset(Operand<?>, Operand<String>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.DataOps

Adds an BytesProducedStatsDataset operation to the graph

BytesProducedStatsDataset - Class in org.tensorflow.op.data

Records the bytes size of each element of `input_dataset` in a StatsAggregator.

bytesValue() - Method in class org.tensorflow.Tensor

Returns the value in a scalar String tensor.

C

cacheDataset(Operand<?>, Operand<String>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.DataOps

Adds an CacheDataset operation to the graph

CacheDataset - Class in org.tensorflow.op.data

Creates a dataset that caches elements from `input_dataset`.

cancelPendingEnqueues(Boolean) - Static method in class org.tensorflow.op.core.BarrierClose

cancelPendingEnqueues(Boolean) - Method in class org.tensorflow.op.core.BarrierClose.Options

cancelPendingEnqueues(Boolean) - Static method in class org.tensorflow.op.io.QueueClose

cancelPendingEnqueues(Boolean) - Method in class org.tensorflow.op.io.QueueClose.Options

capacity(Long) - Static method in class org.tensorflow.op.core.Barrier

capacity(Long) - Method in class org.tensorflow.op.core.Barrier.Options

capacity(Long) - Static method in class org.tensorflow.op.core.MapClear

capacity(Long) - Method in class org.tensorflow.op.core.MapClear.Options

capacity(Long) - Static method in class org.tensorflow.op.core.MapIncompleteSize

capacity(Long) - Method in class org.tensorflow.op.core.MapIncompleteSize.Options

capacity(Long) - Static method in class org.tensorflow.op.core.MapPeek

capacity(Long) - Method in class org.tensorflow.op.core.MapPeek.Options

capacity(Long) - Static method in class org.tensorflow.op.core.MapSize

capacity(Long) - Method in class org.tensorflow.op.core.MapSize.Options

capacity(Long) - Static method in class org.tensorflow.op.core.MapStage

capacity(Long) - Method in class org.tensorflow.op.core.MapStage.Options

capacity(Long) - Static method in class org.tensorflow.op.core.MapUnstage

capacity(Long) - Method in class org.tensorflow.op.core.MapUnstage.Options

capacity(Long) - Static method in class org.tensorflow.op.core.MapUnstageNoKey

capacity(Long) - Method in class org.tensorflow.op.core.MapUnstageNoKey.Options

capacity(Long) - Static method in class org.tensorflow.op.core.OrderedMapClear

capacity(Long) - Method in class org.tensorflow.op.core.OrderedMapClear.Options

capacity(Long) - Static method in class org.tensorflow.op.core.OrderedMapIncompleteSize

capacity(Long) - Method in class org.tensorflow.op.core.OrderedMapIncompleteSize.Options

capacity(Long) - Static method in class org.tensorflow.op.core.OrderedMapPeek

capacity(Long) - Method in class org.tensorflow.op.core.OrderedMapPeek.Options

capacity(Long) - Static method in class org.tensorflow.op.core.OrderedMapSize

capacity(Long) - Method in class org.tensorflow.op.core.OrderedMapSize.Options

capacity(Long) - Static method in class org.tensorflow.op.core.OrderedMapStage

capacity(Long) - Method in class org.tensorflow.op.core.OrderedMapStage.Options

capacity(Long) - Static method in class org.tensorflow.op.core.OrderedMapUnstage

capacity(Long) - Method in class org.tensorflow.op.core.OrderedMapUnstage.Options

capacity(Long) - Static method in class org.tensorflow.op.core.OrderedMapUnstageNoKey

capacity(Long) - Method in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Options

capacity(Long) - Static method in class org.tensorflow.op.core.Stage

capacity(Long) - Method in class org.tensorflow.op.core.Stage.Options

capacity(Long) - Static method in class org.tensorflow.op.core.StageClear

capacity(Long) - Method in class org.tensorflow.op.core.StageClear.Options

capacity(Long) - Static method in class org.tensorflow.op.core.StagePeek

capacity(Long) - Method in class org.tensorflow.op.core.StagePeek.Options

capacity(Long) - Static method in class org.tensorflow.op.core.StageSize

capacity(Long) - Method in class org.tensorflow.op.core.StageSize.Options

capacity(Long) - Static method in class org.tensorflow.op.core.Unstage

capacity(Long) - Method in class org.tensorflow.op.core.Unstage.Options

capacity(Long) - Static method in class org.tensorflow.op.io.FifoQueue

capacity(Long) - Method in class org.tensorflow.op.io.FifoQueue.Options

capacity(Long) - Static method in class org.tensorflow.op.io.PaddingFifoQueue

capacity(Long) - Method in class org.tensorflow.op.io.PaddingFifoQueue.Options

capacity(Long) - Static method in class org.tensorflow.op.io.PriorityQueue

capacity(Long) - Method in class org.tensorflow.op.io.PriorityQueue.Options

capacity(Long) - Static method in class org.tensorflow.op.io.RandomShuffleQueue

capacity(Long) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options

cast(Operand<T>, Class<U>, Cast.Options...) - Method in class org.tensorflow.op.DtypesOps

Adds an Cast operation to the graph

Cast<U> - Class in org.tensorflow.op.dtypes

Cast x of type SrcT to y of DstT.

Cast.Options - Class in org.tensorflow.op.dtypes

Optional attributes for Cast

ceil(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Ceil operation to the graph

Ceil<T extends java.lang.Number> - Class in org.tensorflow.op.math

Returns element-wise smallest integer not less than x.

centered(Boolean) - Static method in class org.tensorflow.op.image.ExtractGlimpse

centered(Boolean) - Method in class org.tensorflow.op.image.ExtractGlimpse.Options

channels(Long) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg

channels(Long) - Method in class org.tensorflow.op.image.DecodeAndCropJpeg.Options

channels(Long) - Static method in class org.tensorflow.op.image.DecodeBmp

channels(Long) - Method in class org.tensorflow.op.image.DecodeBmp.Options

channels(Long) - Static method in class org.tensorflow.op.image.DecodeJpeg

channels(Long) - Method in class org.tensorflow.op.image.DecodeJpeg.Options

channels(Long) - Static method in class org.tensorflow.op.image.DecodePng

channels(Long) - Method in class org.tensorflow.op.image.DecodePng.Options

charToByteStarts() - Method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets

A 1D int32 Tensor containing the byte index in the input string where each character in `char_values` starts.

charValues() - Method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets

A 1D int32 Tensor containing the decoded codepoints.

checkNumerics(Operand<T>, String) - Method in class org.tensorflow.op.MathOps

Adds an CheckNumerics operation to the graph

CheckNumerics<T extends java.lang.Number> - Class in org.tensorflow.op.math

Checks a tensor for NaN and Inf values.

cholesky(Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Adds an Cholesky operation to the graph

Cholesky<T> - Class in org.tensorflow.op.linalg

Computes the Cholesky decomposition of one or more square matrices.

choleskyGrad(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Adds an CholeskyGrad operation to the graph

CholeskyGrad<T extends java.lang.Number> - Class in org.tensorflow.op.linalg

Computes the reverse mode backpropagated gradient of the Cholesky algorithm.

chromaDownsampling(Boolean) - Static method in class org.tensorflow.op.image.EncodeJpeg

chromaDownsampling(Boolean) - Method in class org.tensorflow.op.image.EncodeJpeg.Options

clearAfterRead(Boolean) - Static method in class org.tensorflow.op.core.TensorArray

clearAfterRead(Boolean) - Method in class org.tensorflow.op.core.TensorArray.Options

clipByValue(Operand<T>, Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an ClipByValue operation to the graph

ClipByValue<T> - Class in org.tensorflow.op.core

Clips tensor values to a specified min and max.

close() - Method in class org.tensorflow.Graph

Release resources associated with the Graph.

close() - Method in class org.tensorflow.SavedModelBundle

Releases resources (the Graph and Session) associated with the saved model bundle.

close() - Method in class org.tensorflow.Server

Destroy an in-process TensorFlow server, frees memory.

close() - Method in class org.tensorflow.Session

Release resources associated with the Session.

close() - Method in class org.tensorflow.Tensor

Release resources associated with the Tensor.

CloseSummaryWriter - Class in org.tensorflow.op.summary

colPoolingSequence() - Method in class org.tensorflow.op.nn.FractionalAvgPool

column pooling sequence, needed to calculate gradient.

colPoolingSequence() - Method in class org.tensorflow.op.nn.FractionalMaxPool

column pooling sequence, needed to calculate gradient.

compareAndBitpack(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an CompareAndBitpack operation to the graph

CompareAndBitpack - Class in org.tensorflow.op.math

Compare values of `input` to `threshold` and pack resulting bits into a `uint8`.

complex(Operand<T>, Operand<T>, Class<U>) - Method in class org.tensorflow.op.DtypesOps

Adds an Complex operation to the graph

Complex<U> - Class in org.tensorflow.op.dtypes

Converts two real numbers to a complex number.

complexAbs(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an ComplexAbs operation to the graph

complexAbs(Operand<T>, Class<U>) - Method in class org.tensorflow.op.MathOps

Adds an ComplexAbs operation to the graph

ComplexAbs<U extends java.lang.Number> - Class in org.tensorflow.op.math

Computes the complex absolute value of a tensor.

components() - Method in class org.tensorflow.op.data.DatasetToSingleElement

The components of the single element of `input`.

components() - Method in class org.tensorflow.op.data.ExperimentalIndexedDatasetGet

components() - Method in class org.tensorflow.op.data.IteratorGetNext

components() - Method in class org.tensorflow.op.data.IteratorGetNextSync

components() - Method in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard

Result of the get_next on the dataset.

components() - Method in class org.tensorflow.op.data.OptionalGetValue

components() - Method in class org.tensorflow.op.io.QueueDequeue

One or more tensors that were dequeued as a tuple.

components() - Method in class org.tensorflow.op.io.QueueDequeueMany

One or more tensors that were dequeued as a tuple.

components() - Method in class org.tensorflow.op.io.QueueDequeueUpTo

One or more tensors that were dequeued as a tuple.

compression(Long) - Static method in class org.tensorflow.op.image.EncodePng

compression(Long) - Method in class org.tensorflow.op.image.EncodePng.Options

compressionType(String) - Static method in class org.tensorflow.op.io.DecodeCompressed

compressionType(String) - Method in class org.tensorflow.op.io.DecodeCompressed.Options

compressionType(String) - Static method in class org.tensorflow.op.io.TfRecordReader

compressionType(String) - Method in class org.tensorflow.op.io.TfRecordReader.Options

compressionType(String) - Static method in class org.tensorflow.op.random.RecordInput

compressionType(String) - Method in class org.tensorflow.op.random.RecordInput.Options

computeAccidentalHits(Operand<Long>, Operand<Long>, Long, ComputeAccidentalHits.Options...) - Method in class org.tensorflow.op.NnOps

Adds an ComputeAccidentalHits operation to the graph

ComputeAccidentalHits - Class in org.tensorflow.op.nn

Computes the ids of the positions in sampled_candidates that match true_labels.

ComputeAccidentalHits.Options - Class in org.tensorflow.op.nn

Optional attributes for ComputeAccidentalHits

computeUv(Boolean) - Static method in class org.tensorflow.op.linalg.BatchSvd

computeUv(Boolean) - Method in class org.tensorflow.op.linalg.BatchSvd.Options

computeUv(Boolean) - Static method in class org.tensorflow.op.linalg.Svd

computeUv(Boolean) - Method in class org.tensorflow.op.linalg.Svd.Options

computeV(Boolean) - Static method in class org.tensorflow.op.linalg.BatchSelfAdjointEig

computeV(Boolean) - Method in class org.tensorflow.op.linalg.BatchSelfAdjointEig.Options

computeV(Boolean) - Static method in class org.tensorflow.op.linalg.SelfAdjointEig

computeV(Boolean) - Method in class org.tensorflow.op.linalg.SelfAdjointEig.Options

concat(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an Concat operation to the graph

Concat<T> - Class in org.tensorflow.op.core

Concatenates tensors along one dimension.

concatenateDataset(Operand<?>, Operand<?>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.DataOps

Adds an ConcatenateDataset operation to the graph

ConcatenateDataset - Class in org.tensorflow.op.data

Creates a dataset that concatenates `input_dataset` with `another_dataset`.

conditionalAccumulator(Class<T>, Shape, ConditionalAccumulator.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ConditionalAccumulator operation to the graph

ConditionalAccumulator - Class in org.tensorflow.op.train

A conditional accumulator for aggregating gradients.

ConditionalAccumulator.Options - Class in org.tensorflow.op.train

Optional attributes for ConditionalAccumulator

conj(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Conj operation to the graph

Conj<T> - Class in org.tensorflow.op.math

Returns the complex conjugate of a complex number.

conjugateTranspose(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.LinalgOps

Adds an ConjugateTranspose operation to the graph

ConjugateTranspose<T> - Class in org.tensorflow.op.linalg

Shuffle dimensions of x according to a permutation and conjugate the result.

constant(boolean) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(boolean[]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(boolean[][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(boolean[][][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(boolean[][][][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(boolean[][][][][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(boolean[][][][][][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(byte[]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(byte[][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(byte[][][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(byte[][][][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(byte[][][][][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(byte[][][][][][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(double) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(double[]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(double[][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(double[][][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(double[][][][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(double[][][][][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(double[][][][][][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(float) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(float[]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(float[][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(float[][][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(float[][][][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(float[][][][][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(float[][][][][][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(int) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(int[]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(int[][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(int[][][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(int[][][][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(int[][][][][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(int[][][][][][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(long) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(long[]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(long[][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(long[][][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(long[][][][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(long[][][][][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(long[][][][][][]) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(long[], DoubleBuffer) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(long[], FloatBuffer) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(long[], IntBuffer) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(long[], LongBuffer) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(Class<T>, long[], ByteBuffer) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(Object, Class<T>) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(String) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

constant(String, Charset) - Method in class org.tensorflow.op.Ops

Adds an Constant operation to the graph

Constant<T> - Class in org.tensorflow.op.core

An operator producing a constant value.

consumeMutexLock(Operand<?>) - Method in class org.tensorflow.op.Ops

Adds an ConsumeMutexLock operation to the graph

ConsumeMutexLock - Class in org.tensorflow.op.core

This op consumes a lock created by `MutexLock`.

container(String) - Static method in class org.tensorflow.op.core.Barrier

container(String) - Method in class org.tensorflow.op.core.Barrier.Options

container(String) - Static method in class org.tensorflow.op.core.Batch

container(String) - Method in class org.tensorflow.op.core.Batch.Options

container(String) - Static method in class org.tensorflow.op.core.BoostedTreesEnsembleResourceHandleOp

container(String) - Method in class org.tensorflow.op.core.BoostedTreesEnsembleResourceHandleOp.Options

container(String) - Static method in class org.tensorflow.op.core.BoostedTreesQuantileStreamResourceHandleOp

container(String) - Method in class org.tensorflow.op.core.BoostedTreesQuantileStreamResourceHandleOp.Options

container(String) - Static method in class org.tensorflow.op.core.HashTable

container(String) - Method in class org.tensorflow.op.core.HashTable.Options

container(String) - Static method in class org.tensorflow.op.core.MapClear

container(String) - Method in class org.tensorflow.op.core.MapClear.Options

container(String) - Static method in class org.tensorflow.op.core.MapIncompleteSize

container(String) - Method in class org.tensorflow.op.core.MapIncompleteSize.Options

container(String) - Static method in class org.tensorflow.op.core.MapPeek

container(String) - Method in class org.tensorflow.op.core.MapPeek.Options

container(String) - Static method in class org.tensorflow.op.core.MapSize

container(String) - Method in class org.tensorflow.op.core.MapSize.Options

container(String) - Static method in class org.tensorflow.op.core.MapStage

container(String) - Method in class org.tensorflow.op.core.MapStage.Options

container(String) - Static method in class org.tensorflow.op.core.MapUnstage

container(String) - Method in class org.tensorflow.op.core.MapUnstage.Options

container(String) - Static method in class org.tensorflow.op.core.MapUnstageNoKey

container(String) - Method in class org.tensorflow.op.core.MapUnstageNoKey.Options

container(String) - Static method in class org.tensorflow.op.core.MutableDenseHashTable

container(String) - Method in class org.tensorflow.op.core.MutableDenseHashTable.Options

container(String) - Static method in class org.tensorflow.op.core.MutableHashTable

container(String) - Method in class org.tensorflow.op.core.MutableHashTable.Options

container(String) - Static method in class org.tensorflow.op.core.MutableHashTableOfTensors

container(String) - Method in class org.tensorflow.op.core.MutableHashTableOfTensors.Options

container(String) - Static method in class org.tensorflow.op.core.Mutex

container(String) - Method in class org.tensorflow.op.core.Mutex.Options

container(String) - Static method in class org.tensorflow.op.core.OrderedMapClear

container(String) - Method in class org.tensorflow.op.core.OrderedMapClear.Options

container(String) - Static method in class org.tensorflow.op.core.OrderedMapIncompleteSize

container(String) - Method in class org.tensorflow.op.core.OrderedMapIncompleteSize.Options

container(String) - Static method in class org.tensorflow.op.core.OrderedMapPeek

container(String) - Method in class org.tensorflow.op.core.OrderedMapPeek.Options

container(String) - Static method in class org.tensorflow.op.core.OrderedMapSize

container(String) - Method in class org.tensorflow.op.core.OrderedMapSize.Options

container(String) - Static method in class org.tensorflow.op.core.OrderedMapStage

container(String) - Method in class org.tensorflow.op.core.OrderedMapStage.Options

container(String) - Static method in class org.tensorflow.op.core.OrderedMapUnstage

container(String) - Method in class org.tensorflow.op.core.OrderedMapUnstage.Options

container(String) - Static method in class org.tensorflow.op.core.OrderedMapUnstageNoKey

container(String) - Method in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Options

container(String) - Static method in class org.tensorflow.op.core.Stage

container(String) - Method in class org.tensorflow.op.core.Stage.Options

container(String) - Static method in class org.tensorflow.op.core.StageClear

container(String) - Method in class org.tensorflow.op.core.StageClear.Options

container(String) - Static method in class org.tensorflow.op.core.StagePeek

container(String) - Method in class org.tensorflow.op.core.StagePeek.Options

container(String) - Static method in class org.tensorflow.op.core.StageSize

container(String) - Method in class org.tensorflow.op.core.StageSize.Options

container(String) - Static method in class org.tensorflow.op.core.TensorForestTreeResourceHandleOp

container(String) - Method in class org.tensorflow.op.core.TensorForestTreeResourceHandleOp.Options

container(String) - Static method in class org.tensorflow.op.core.Unbatch

container(String) - Method in class org.tensorflow.op.core.Unbatch.Options

container(String) - Static method in class org.tensorflow.op.core.UnbatchGrad

container(String) - Method in class org.tensorflow.op.core.UnbatchGrad.Options

container(String) - Static method in class org.tensorflow.op.core.Unstage

container(String) - Method in class org.tensorflow.op.core.Unstage.Options

container(String) - Static method in class org.tensorflow.op.core.VarHandleOp

container(String) - Method in class org.tensorflow.op.core.VarHandleOp.Options

container(String) - Static method in class org.tensorflow.op.core.Variable

container(String) - Method in class org.tensorflow.op.core.Variable.Options

container(String) - Static method in class org.tensorflow.op.data.ExperimentalThreadPoolHandle

container(String) - Method in class org.tensorflow.op.data.ExperimentalThreadPoolHandle.Options

container(String) - Static method in class org.tensorflow.op.data.StatsAggregatorHandle

container(String) - Method in class org.tensorflow.op.data.StatsAggregatorHandle.Options

container(String) - Static method in class org.tensorflow.op.io.BigQueryReader

container(String) - Method in class org.tensorflow.op.io.BigQueryReader.Options

container(String) - Static method in class org.tensorflow.op.io.FifoQueue

container(String) - Method in class org.tensorflow.op.io.FifoQueue.Options

container(String) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader

container(String) - Method in class org.tensorflow.op.io.FixedLengthRecordReader.Options

container(String) - Static method in class org.tensorflow.op.io.IdentityReader

container(String) - Method in class org.tensorflow.op.io.IdentityReader.Options

container(String) - Static method in class org.tensorflow.op.io.LmdbReader

container(String) - Method in class org.tensorflow.op.io.LmdbReader.Options

container(String) - Static method in class org.tensorflow.op.io.PaddingFifoQueue

container(String) - Method in class org.tensorflow.op.io.PaddingFifoQueue.Options

container(String) - Static method in class org.tensorflow.op.io.PriorityQueue

container(String) - Method in class org.tensorflow.op.io.PriorityQueue.Options

container(String) - Static method in class org.tensorflow.op.io.RandomShuffleQueue

container(String) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options

container(String) - Static method in class org.tensorflow.op.io.TextLineReader

container(String) - Method in class org.tensorflow.op.io.TextLineReader.Options

container(String) - Static method in class org.tensorflow.op.io.TfRecordReader

container(String) - Method in class org.tensorflow.op.io.TfRecordReader.Options

container(String) - Static method in class org.tensorflow.op.io.WholeFileReader

container(String) - Method in class org.tensorflow.op.io.WholeFileReader.Options

container(String) - Static method in class org.tensorflow.op.sparse.AddManySparseToTensorsMap

container(String) - Method in class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Options

container(String) - Static method in class org.tensorflow.op.sparse.AddSparseToTensorsMap

container(String) - Method in class org.tensorflow.op.sparse.AddSparseToTensorsMap.Options

container(String) - Static method in class org.tensorflow.op.sparse.SparseConditionalAccumulator

container(String) - Method in class org.tensorflow.op.sparse.SparseConditionalAccumulator.Options

container(String) - Static method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap

container(String) - Method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap.Options

container(String) - Static method in class org.tensorflow.op.summary.SummaryWriter

container(String) - Method in class org.tensorflow.op.summary.SummaryWriter.Options

container(String) - Static method in class org.tensorflow.op.train.ConditionalAccumulator

container(String) - Method in class org.tensorflow.op.train.ConditionalAccumulator.Options

contents() - Method in class org.tensorflow.op.audio.EncodeWav

0-D.

contents() - Method in class org.tensorflow.op.image.EncodeJpeg

0-D.

contents() - Method in class org.tensorflow.op.image.EncodePng

0-D.

contents() - Method in class org.tensorflow.op.io.ReadFile

contextDenseShapes(List<Shape>) - Static method in class org.tensorflow.op.io.ParseSequenceExample

contextDenseShapes(List<Shape>) - Method in class org.tensorflow.op.io.ParseSequenceExample.Options

contextDenseShapes(List<Shape>) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample

contextDenseShapes(List<Shape>) - Method in class org.tensorflow.op.io.ParseSingleSequenceExample.Options

contextDenseValues() - Method in class org.tensorflow.op.io.ParseSequenceExample

contextDenseValues() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample

contextSparseIndices() - Method in class org.tensorflow.op.io.ParseSequenceExample

contextSparseIndices() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample

contextSparseShapes() - Method in class org.tensorflow.op.io.ParseSequenceExample

contextSparseShapes() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample

contextSparseValues() - Method in class org.tensorflow.op.io.ParseSequenceExample

contextSparseValues() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample

continueCentering() - Method in class org.tensorflow.op.core.BoostedTreesCenterBias

Bool, whether to continue bias centering.

controlTrigger() - Method in class org.tensorflow.op.Ops

Adds an ControlTrigger operation to the graph

ControlTrigger - Class in org.tensorflow.op.core

Does nothing.

conv2d(Operand<T>, Operand<T>, List<Long>, String, Conv2d.Options...) - Method in class org.tensorflow.op.NnOps

Adds an Conv2d operation to the graph

Conv2d<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes a 2-D convolution given 4-D `input` and `filter` tensors.

Conv2d.Options - Class in org.tensorflow.op.nn

Optional attributes for Conv2d

conv2dBackpropFilter(Operand<T>, Operand<Integer>, Operand<T>, List<Long>, String, Conv2dBackpropFilter.Options...) - Method in class org.tensorflow.op.NnOps

Adds an Conv2dBackpropFilter operation to the graph

Conv2dBackpropFilter<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes the gradients of convolution with respect to the filter.

Conv2dBackpropFilter.Options - Class in org.tensorflow.op.nn

Optional attributes for Conv2dBackpropFilter

conv2dBackpropInput(Operand<Integer>, Operand<T>, Operand<T>, List<Long>, String, Conv2dBackpropInput.Options...) - Method in class org.tensorflow.op.NnOps

Adds an Conv2dBackpropInput operation to the graph

Conv2dBackpropInput<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes the gradients of convolution with respect to the input.

Conv2dBackpropInput.Options - Class in org.tensorflow.op.nn

Optional attributes for Conv2dBackpropInput

conv3d(Operand<T>, Operand<T>, List<Long>, String, Conv3d.Options...) - Method in class org.tensorflow.op.NnOps

Adds an Conv3d operation to the graph

Conv3d<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes a 3-D convolution given 5-D `input` and `filter` tensors.

Conv3d.Options - Class in org.tensorflow.op.nn

Optional attributes for Conv3d

conv3dBackpropFilter(Operand<T>, Operand<Integer>, Operand<T>, List<Long>, String, Conv3dBackpropFilter.Options...) - Method in class org.tensorflow.op.NnOps

Adds an Conv3dBackpropFilter operation to the graph

Conv3dBackpropFilter<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes the gradients of 3-D convolution with respect to the filter.

Conv3dBackpropFilter.Options - Class in org.tensorflow.op.nn

Optional attributes for Conv3dBackpropFilter

conv3dBackpropInput(Operand<T>, Operand<U>, Operand<U>, List<Long>, String, Conv3dBackpropInput.Options...) - Method in class org.tensorflow.op.NnOps

Adds an Conv3dBackpropInput operation to the graph

Conv3dBackpropInput<U extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes the gradients of 3-D convolution with respect to the input.

Conv3dBackpropInput.Options - Class in org.tensorflow.op.nn

Optional attributes for Conv3dBackpropInput

copyTo(U) - Method in class org.tensorflow.Tensor

Copies the contents of the tensor to dst and returns dst.

cos(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Cos operation to the graph

Cos<T> - Class in org.tensorflow.op.math

Computes cos of x element-wise.

cosh(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Cosh operation to the graph

Cosh<T> - Class in org.tensorflow.op.math

Computes hyperbolic cosine of x element-wise.

count() - Method in class org.tensorflow.op.core.UniqueWithCounts

A 1-D Tensor.

countUpTo(Operand<T>, Long) - Method in class org.tensorflow.op.Ops

Adds an CountUpTo operation to the graph

CountUpTo<T extends java.lang.Number> - Class in org.tensorflow.op.core

Increments 'ref' until it reaches 'limit'.

create(boolean) - Static method in class org.tensorflow.Tensors

Creates a scalar tensor containing a single boolean element.

create(boolean[]) - Static method in class org.tensorflow.Tensors

Creates a rank-1 tensor of boolean elements.

create(boolean[][]) - Static method in class org.tensorflow.Tensors

Creates a rank-2 tensor of boolean elements.

create(boolean[][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-3 tensor of boolean elements.

create(boolean[][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-4 tensor of boolean elements.

create(boolean[][][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-5 tensor of boolean elements.

create(boolean[][][][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-6 tensor of boolean elements.

create(byte[]) - Static method in class org.tensorflow.Tensors

Creates a scalar tensor containing a single byte element.

create(byte[][]) - Static method in class org.tensorflow.Tensors

Creates a rank-1 tensor of byte elements.

create(byte[][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-2 tensor of byte elements.

create(byte[][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-3 tensor of byte elements.

create(byte[][][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-4 tensor of byte elements.

create(byte[][][][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-5 tensor of byte elements.

create(double) - Static method in class org.tensorflow.Tensors

Creates a scalar tensor containing a single double element.

create(double[]) - Static method in class org.tensorflow.Tensors

Creates a rank-1 tensor of double elements.

create(double[][]) - Static method in class org.tensorflow.Tensors

Creates a rank-2 tensor of double elements.

create(double[][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-3 tensor of double elements.

create(double[][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-4 tensor of double elements.

create(double[][][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-5 tensor of double elements.

create(double[][][][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-6 tensor of double elements.

create(float) - Static method in class org.tensorflow.Tensors

Creates a scalar tensor containing a single float element.

create(float[]) - Static method in class org.tensorflow.Tensors

Creates a rank-1 tensor of float elements.

create(float[][]) - Static method in class org.tensorflow.Tensors

Creates a rank-2 tensor of float elements.

create(float[][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-3 tensor of float elements.

create(float[][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-4 tensor of float elements.

create(float[][][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-5 tensor of float elements.

create(float[][][][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-6 tensor of float elements.

create(int) - Static method in class org.tensorflow.Tensors

Creates a scalar tensor containing a single int element.

create(int[]) - Static method in class org.tensorflow.Tensors

Creates a rank-1 tensor of int elements.

create(int[][]) - Static method in class org.tensorflow.Tensors

Creates a rank-2 tensor of int elements.

create(int[][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-3 tensor of int elements.

create(int[][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-4 tensor of int elements.

create(int[][][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-5 tensor of int elements.

create(int[][][][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-6 tensor of int elements.

create(long) - Static method in class org.tensorflow.Tensors

Creates a scalar tensor containing a single long element.

create(long[]) - Static method in class org.tensorflow.Tensors

Creates a rank-1 tensor of long elements.

create(long[][]) - Static method in class org.tensorflow.Tensors

Creates a rank-2 tensor of long elements.

create(long[][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-3 tensor of long elements.

create(long[][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-4 tensor of long elements.

create(long[][][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-5 tensor of long elements.

create(long[][][][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-6 tensor of long elements.

create(long[], DoubleBuffer) - Static method in class org.tensorflow.Tensor

Create a Double Tensor with data from the given buffer.

create(long[], FloatBuffer) - Static method in class org.tensorflow.Tensor

Create a Float Tensor with data from the given buffer.

create(long[], IntBuffer) - Static method in class org.tensorflow.Tensor

Create a Integer Tensor with data from the given buffer.

create(long[], LongBuffer) - Static method in class org.tensorflow.Tensor

Create an Long Tensor with data from the given buffer.

create(Class<T>, long[], ByteBuffer) - Static method in class org.tensorflow.Tensor

Create a Tensor of any type with data from the given buffer.

create(Object) - Static method in class org.tensorflow.Tensor

Creates a tensor from an object whose class is inspected to figure out what the underlying data type should be.

create(Object, Class<T>) - Static method in class org.tensorflow.Tensor

Creates a Tensor from a Java object.

create(String) - Static method in class org.tensorflow.Tensors

Creates a scalar String tensor using the default, UTF-8 encoding.

create(String, Charset) - Static method in class org.tensorflow.Tensors

Creates a scalar String tensor using a specified encoding.

create(Graph) - Static method in class org.tensorflow.op.Ops

Creates an API for adding operations to the provided graph

create(Scope) - Static method in class org.tensorflow.op.core.ControlTrigger

Factory method to create a class to wrap a new ControlTrigger operation to the graph.

create(Scope) - Static method in class org.tensorflow.op.core.NoOp

Factory method to create a class to wrap a new NoOp operation to the graph.

create(Scope) - Static method in class org.tensorflow.op.core.Timestamp

Factory method to create a class to wrap a new Timestamp operation to the graph.

create(Scope) - Static method in class org.tensorflow.op.data.OptionalNone

Factory method to create a class to wrap a new OptionalNone operation to the graph.

create(Scope) - Static method in class org.tensorflow.op.math.Fact

Factory method to create a class to wrap a new Fact operation to the graph.

create(Scope, boolean) - Static method in class org.tensorflow.op.core.Constant

Creates a constant containing a single boolean element.

create(Scope, boolean[]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-1 constant of boolean elements.

create(Scope, boolean[][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-2 constant of boolean elements.

create(Scope, boolean[][][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-3 constant of boolean elements.

create(Scope, boolean[][][][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-4 constant of boolean elements.

create(Scope, boolean[][][][][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-5 constant of boolean elements.

create(Scope, boolean[][][][][][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-6 constant of boolean elements.

create(Scope, byte[]) - Static method in class org.tensorflow.op.core.Constant

Creates a constant containing a single String element, represented as an array of bytes.

create(Scope, byte[][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-1 constant of String elements, each represented as an array of bytes.

create(Scope, byte[][][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-2 constant of String elements, each represented as an array of bytes.

create(Scope, byte[][][][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-3 constant of String elements, each represented as an array of bytes.

create(Scope, byte[][][][][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-4 constant of String elements, each represented as an array of bytes.

create(Scope, byte[][][][][][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-5 constant of String elements, each represented as an array of bytes.

create(Scope, double) - Static method in class org.tensorflow.op.core.Constant

Creates a constant containing a single double element.

create(Scope, double[]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-1 constant of double elements.

create(Scope, double[][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-2 constant of double elements.

create(Scope, double[][][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-3 constant of double elements.

create(Scope, double[][][][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-4 constant of double elements.

create(Scope, double[][][][][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-5 constant of double elements.

create(Scope, double[][][][][][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-6 constant of double elements.

create(Scope, float) - Static method in class org.tensorflow.op.core.Constant

Creates a constant containing a single float element.

create(Scope, float[]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-1 constant of float elements.

create(Scope, float[][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-2 constant of float elements.

create(Scope, float[][][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-3 constant of float elements.

create(Scope, float[][][][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-4 constant of float elements.

create(Scope, float[][][][][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-5 constant of float elements.

create(Scope, float[][][][][][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-6 constant of float elements.

create(Scope, int) - Static method in class org.tensorflow.op.core.Constant

Creates a constant containing a single int element.

create(Scope, int[]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-1 constant of int elements.

create(Scope, int[][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-2 constant of int elements.

create(Scope, int[][][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-3 constant of int elements.

create(Scope, int[][][][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-4 constant of int elements.

create(Scope, int[][][][][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-5 constant of int elements.

create(Scope, int[][][][][][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-6 constant of int elements.

create(Scope, long) - Static method in class org.tensorflow.op.core.Constant

Creates a constant containing a single long element.

create(Scope, long[]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-1 constant of long elements.

create(Scope, long[][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-2 constant of long elements.

create(Scope, long[][][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-3 constant of long elements.

create(Scope, long[][][][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-4 constant of long elements.

create(Scope, long[][][][][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-5 constant of long elements.

create(Scope, long[][][][][][]) - Static method in class org.tensorflow.op.core.Constant

Creates a rank-6 constant of long elements.

create(Scope, long[], DoubleBuffer) - Static method in class org.tensorflow.op.core.Constant

Create a DataType.DOUBLE constant with data from the given buffer.

create(Scope, long[], FloatBuffer) - Static method in class org.tensorflow.op.core.Constant

Create a DataType.FLOAT constant with data from the given buffer.

create(Scope, long[], IntBuffer) - Static method in class org.tensorflow.op.core.Constant

Create a DataType.INT32 constant with data from the given buffer.

create(Scope, long[], LongBuffer) - Static method in class org.tensorflow.op.core.Constant

Create a DataType.INT64 constant with data from the given buffer.

create(Scope, Class<T>, long[], ByteBuffer) - Static method in class org.tensorflow.op.core.Constant

Create a constant with data from the given buffer.

create(Scope, Class<T>, Class<U>, HashTable.Options...) - Static method in class org.tensorflow.op.core.HashTable

Factory method to create a class to wrap a new HashTable operation to the graph.

create(Scope, Class<T>, Class<U>, MutableHashTable.Options...) - Static method in class org.tensorflow.op.core.MutableHashTable

Factory method to create a class to wrap a new MutableHashTable operation to the graph.

create(Scope, Class<T>, Class<U>, MutableHashTableOfTensors.Options...) - Static method in class org.tensorflow.op.core.MutableHashTableOfTensors

Factory method to create a class to wrap a new MutableHashTableOfTensors operation to the graph.

create(Scope, Class<T>, Long, Long, Long, Shape) - Static method in class org.tensorflow.op.collective.BroadcastRecv

Factory method to create a class to wrap a new BroadcastRecv operation to the graph.

create(Scope, Class<T>, Placeholder.Options...) - Static method in class org.tensorflow.op.core.Placeholder

Factory method to create a class to wrap a new Placeholder operation to the graph.

create(Scope, Class<T>, Shape, String) - Static method in class org.tensorflow.op.core.ImmutableConst

Factory method to create a class to wrap a new ImmutableConst operation to the graph.

create(Scope, Class<T>, Shape, VarHandleOp.Options...) - Static method in class org.tensorflow.op.core.VarHandleOp

Factory method to create a class to wrap a new VarHandleOp operation to the graph.

create(Scope, Class<T>, Shape, SparseConditionalAccumulator.Options...) - Static method in class org.tensorflow.op.sparse.SparseConditionalAccumulator

Factory method to create a class to wrap a new SparseConditionalAccumulator operation to the graph.

create(Scope, Class<T>, Shape, ConditionalAccumulator.Options...) - Static method in class org.tensorflow.op.train.ConditionalAccumulator

Factory method to create a class to wrap a new ConditionalAccumulator operation to the graph.

create(Scope, Iterable<? extends Operand<?>>, Iterable<? extends Operand<?>>, Gradients.Options...) - Static method in class org.tensorflow.op.core.Gradients

Adds gradients computation ops to the graph according to scope.

create(Scope, Iterable<Operand<?>>) - Static method in class org.tensorflow.op.core.IdentityN

Factory method to create a class to wrap a new IdentityN operation to the graph.

create(Scope, Iterable<Operand<?>>) - Static method in class org.tensorflow.op.data.OptionalFromValue

Factory method to create a class to wrap a new OptionalFromValue operation to the graph.

create(Scope, Iterable<Operand<?>>, Long, Long, Long, Long, Batch.Options...) - Static method in class org.tensorflow.op.core.Batch

Factory method to create a class to wrap a new Batch operation to the graph.

create(Scope, Iterable<Operand<?>>, List<Class<?>>, String) - Static method in class org.tensorflow.op.core.RemoteFusedGraphExecute

Factory method to create a class to wrap a new RemoteFusedGraphExecute operation to the graph.

create(Scope, Iterable<Operand<?>>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.ZipDataset

Factory method to create a class to wrap a new ZipDataset operation to the graph.

create(Scope, Iterable<Operand<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.TensorDataset

Factory method to create a class to wrap a new TensorDataset operation to the graph.

create(Scope, Iterable<Operand<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.TensorSliceDataset

Factory method to create a class to wrap a new TensorSliceDataset operation to the graph.

create(Scope, Iterable<Operand<?>>, Stage.Options...) - Static method in class org.tensorflow.op.core.Stage

Factory method to create a class to wrap a new Stage operation to the graph.

create(Scope, Iterable<Operand<?>>, StringFormat.Options...) - Static method in class org.tensorflow.op.strings.StringFormat

Factory method to create a class to wrap a new StringFormat operation to the graph.

create(Scope, Iterable<Operand<Float>>, Float, Float) - Static method in class org.tensorflow.op.train.SdcaShrinkL1

Factory method to create a class to wrap a new SdcaShrinkL1 operation to the graph.

create(Scope, Iterable<Operand<Float>>, Iterable<Operand<Float>>) - Static method in class org.tensorflow.op.core.BoostedTreesBucketize

Factory method to create a class to wrap a new BoostedTreesBucketize operation to the graph.

create(Scope, Iterable<Operand<Float>>, Operand<Float>, Operand<Float>) - Static method in class org.tensorflow.op.core.BoostedTreesMakeQuantileSummaries

Factory method to create a class to wrap a new BoostedTreesMakeQuantileSummaries operation to the graph.

create(Scope, Iterable<Operand<Integer>>, Operand<T>) - Static method in class org.tensorflow.op.core.DynamicStitch

Factory method to create a class to wrap a new DynamicStitch operation to the graph.

create(Scope, Iterable<Operand<Integer>>, Operand<T>) - Static method in class org.tensorflow.op.core.ParallelDynamicStitch

Factory method to create a class to wrap a new ParallelDynamicStitch operation to the graph.

create(Scope, Iterable<Operand<Long>>, Iterable<Operand<?>>, Iterable<Operand<Long>>, Iterable<Operand<?>>, Boolean, Long, Long, Class<T>, Class<U>) - Static method in class org.tensorflow.op.sparse.SparseCross

Factory method to create a class to wrap a new SparseCross operation to the graph.

create(Scope, Iterable<Operand<Long>>, Iterable<Operand<Long>>, Iterable<Operand<Float>>, Iterable<Operand<Float>>, Operand<Float>, Operand<Float>, Iterable<Operand<Long>>, Iterable<Operand<Float>>, Iterable<Operand<Float>>, Operand<Float>, String, Float, Float, Long, Long, SdcaOptimizer.Options...) - Static method in class org.tensorflow.op.train.SdcaOptimizer

Factory method to create a class to wrap a new SdcaOptimizer operation to the graph.

create(Scope, Iterable<Operand<Long>>, Operand<T>) - Static method in class org.tensorflow.op.core.RaggedTensorToSparse

Factory method to create a class to wrap a new RaggedTensorToSparse operation to the graph.

create(Scope, Iterable<Operand<Long>>, Operand<T>, Iterable<Operand<Long>>, Long) - Static method in class org.tensorflow.op.sparse.SparseConcat

Factory method to create a class to wrap a new SparseConcat operation to the graph.

create(Scope, Iterable<Operand<Long>>, Operand<T>, Operand<U>, Long) - Static method in class org.tensorflow.op.core.RaggedGather

Factory method to create a class to wrap a new RaggedGather operation to the graph.

create(Scope, Iterable<Operand<String>>) - Static method in class org.tensorflow.op.summary.MergeSummary

Factory method to create a class to wrap a new MergeSummary operation to the graph.

create(Scope, Iterable<Operand<String>>, Join.Options...) - Static method in class org.tensorflow.op.strings.Join

Factory method to create a class to wrap a new Join operation to the graph.

create(Scope, Long, String, ExperimentalThreadPoolHandle.Options...) - Static method in class org.tensorflow.op.data.ExperimentalThreadPoolHandle

Factory method to create a class to wrap a new ExperimentalThreadPoolHandle operation to the graph.

create(Scope, Long, FixedLengthRecordReader.Options...) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader

Factory method to create a class to wrap a new FixedLengthRecordReader operation to the graph.

create(Scope, Object, Class<T>) - Static method in class org.tensorflow.op.core.Constant

Create a constant from a Java object.

create(Scope, String) - Static method in class org.tensorflow.op.core.Constant

Creates a String constant using the default, UTF-8 encoding.

create(Scope, String, Long, Skipgram.Options...) - Static method in class org.tensorflow.op.core.Skipgram

Factory method to create a class to wrap a new Skipgram operation to the graph.

create(Scope, String, String, String, List<String>, Long, Long, GenerateBigQueryReaderPartitions.Options...) - Static method in class org.tensorflow.op.core.GenerateBigQueryReaderPartitions

Factory method to create a class to wrap a new GenerateBigQueryReaderPartitions operation to the graph.

create(Scope, String, String, String, List<String>, Long, BigQueryReader.Options...) - Static method in class org.tensorflow.op.io.BigQueryReader

Factory method to create a class to wrap a new BigQueryReader operation to the graph.

create(Scope, String, String, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.ExperimentalMaterializedIndexDatasetHandle

Factory method to create a class to wrap a new ExperimentalMaterializedIndexDatasetHandle operation to the graph.

create(Scope, String, String, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.Iterator

Factory method to create a class to wrap a new Iterator operation to the graph.

create(Scope, String, Charset) - Static method in class org.tensorflow.op.core.Constant

Creates a String constant using a specified encoding.

create(Scope, String, RecordInput.Options...) - Static method in class org.tensorflow.op.random.RecordInput

Factory method to create a class to wrap a new RecordInput operation to the graph.

create(Scope, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.AnonymousIterator

Factory method to create a class to wrap a new AnonymousIterator operation to the graph.

create(Scope, List<Class<?>>, List<Shape>, PriorityQueue.Options...) - Static method in class org.tensorflow.op.io.PriorityQueue

Factory method to create a class to wrap a new PriorityQueue operation to the graph.

create(Scope, List<Class<?>>, Barrier.Options...) - Static method in class org.tensorflow.op.core.Barrier

Factory method to create a class to wrap a new Barrier operation to the graph.

create(Scope, List<Class<?>>, MapClear.Options...) - Static method in class org.tensorflow.op.core.MapClear

Factory method to create a class to wrap a new MapClear operation to the graph.

create(Scope, List<Class<?>>, MapIncompleteSize.Options...) - Static method in class org.tensorflow.op.core.MapIncompleteSize

Factory method to create a class to wrap a new MapIncompleteSize operation to the graph.

create(Scope, List<Class<?>>, MapSize.Options...) - Static method in class org.tensorflow.op.core.MapSize

Factory method to create a class to wrap a new MapSize operation to the graph.

create(Scope, List<Class<?>>, OrderedMapClear.Options...) - Static method in class org.tensorflow.op.core.OrderedMapClear

Factory method to create a class to wrap a new OrderedMapClear operation to the graph.

create(Scope, List<Class<?>>, OrderedMapIncompleteSize.Options...) - Static method in class org.tensorflow.op.core.OrderedMapIncompleteSize

Factory method to create a class to wrap a new OrderedMapIncompleteSize operation to the graph.

create(Scope, List<Class<?>>, OrderedMapSize.Options...) - Static method in class org.tensorflow.op.core.OrderedMapSize

Factory method to create a class to wrap a new OrderedMapSize operation to the graph.

create(Scope, List<Class<?>>, StageClear.Options...) - Static method in class org.tensorflow.op.core.StageClear

Factory method to create a class to wrap a new StageClear operation to the graph.

create(Scope, List<Class<?>>, StageSize.Options...) - Static method in class org.tensorflow.op.core.StageSize

Factory method to create a class to wrap a new StageSize operation to the graph.

create(Scope, List<Class<?>>, Unstage.Options...) - Static method in class org.tensorflow.op.core.Unstage

Factory method to create a class to wrap a new Unstage operation to the graph.

create(Scope, List<Class<?>>, FifoQueue.Options...) - Static method in class org.tensorflow.op.io.FifoQueue

Factory method to create a class to wrap a new FifoQueue operation to the graph.

create(Scope, List<Class<?>>, PaddingFifoQueue.Options...) - Static method in class org.tensorflow.op.io.PaddingFifoQueue

Factory method to create a class to wrap a new PaddingFifoQueue operation to the graph.

create(Scope, List<Class<?>>, RandomShuffleQueue.Options...) - Static method in class org.tensorflow.op.io.RandomShuffleQueue

Factory method to create a class to wrap a new RandomShuffleQueue operation to the graph.

create(Scope, List<String>, String, String, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.MultiDeviceIterator

Factory method to create a class to wrap a new MultiDeviceIterator operation to the graph.

create(Scope, Abort.Options...) - Static method in class org.tensorflow.op.core.Abort

Factory method to create a class to wrap a new Abort operation to the graph.

create(Scope, BoostedTreesEnsembleResourceHandleOp.Options...) - Static method in class org.tensorflow.op.core.BoostedTreesEnsembleResourceHandleOp

Factory method to create a class to wrap a new BoostedTreesEnsembleResourceHandleOp operation to the graph.

create(Scope, BoostedTreesQuantileStreamResourceHandleOp.Options...) - Static method in class org.tensorflow.op.core.BoostedTreesQuantileStreamResourceHandleOp

Factory method to create a class to wrap a new BoostedTreesQuantileStreamResourceHandleOp operation to the graph.

create(Scope, Mutex.Options...) - Static method in class org.tensorflow.op.core.Mutex

Factory method to create a class to wrap a new Mutex operation to the graph.

create(Scope, TensorForestTreeResourceHandleOp.Options...) - Static method in class org.tensorflow.op.core.TensorForestTreeResourceHandleOp

Factory method to create a class to wrap a new TensorForestTreeResourceHandleOp operation to the graph.

create(Scope, StatsAggregatorHandle.Options...) - Static method in class org.tensorflow.op.data.StatsAggregatorHandle

Factory method to create a class to wrap a new StatsAggregatorHandle operation to the graph.

create(Scope, IdentityReader.Options...) - Static method in class org.tensorflow.op.io.IdentityReader

Factory method to create a class to wrap a new IdentityReader operation to the graph.

create(Scope, LmdbReader.Options...) - Static method in class org.tensorflow.op.io.LmdbReader

Factory method to create a class to wrap a new LmdbReader operation to the graph.

create(Scope, TextLineReader.Options...) - Static method in class org.tensorflow.op.io.TextLineReader

Factory method to create a class to wrap a new TextLineReader operation to the graph.

create(Scope, TfRecordReader.Options...) - Static method in class org.tensorflow.op.io.TfRecordReader

Factory method to create a class to wrap a new TfRecordReader operation to the graph.

create(Scope, WholeFileReader.Options...) - Static method in class org.tensorflow.op.io.WholeFileReader

Factory method to create a class to wrap a new WholeFileReader operation to the graph.

create(Scope, SummaryWriter.Options...) - Static method in class org.tensorflow.op.summary.SummaryWriter

Factory method to create a class to wrap a new SummaryWriter operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.BoostedTreesGetEnsembleStates

Factory method to create a class to wrap a new BoostedTreesGetEnsembleStates operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.BoostedTreesSerializeEnsemble

Factory method to create a class to wrap a new BoostedTreesSerializeEnsemble operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.ConsumeMutexLock

Factory method to create a class to wrap a new ConsumeMutexLock operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.IsBoostedTreesEnsembleInitialized

Factory method to create a class to wrap a new IsBoostedTreesEnsembleInitialized operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.IsBoostedTreesQuantileStreamResourceInitialized

Factory method to create a class to wrap a new IsBoostedTreesQuantileStreamResourceInitialized operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.LookupTableSize

Factory method to create a class to wrap a new LookupTableSize operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.MutexLock

Factory method to create a class to wrap a new MutexLock operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.TensorArrayClose

Factory method to create a class to wrap a new TensorArrayClose operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.TensorForestTreeIsInitializedOp

Factory method to create a class to wrap a new TensorForestTreeIsInitializedOp operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.TensorForestTreeSerialize

Factory method to create a class to wrap a new TensorForestTreeSerialize operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.TensorForestTreeSize

Factory method to create a class to wrap a new TensorForestTreeSize operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.TensorListLength

Factory method to create a class to wrap a new TensorListLength operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.VariableShape

Factory method to create a class to wrap a new VariableShape operation to the graph, using default output types.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.VarIsInitializedOp

Factory method to create a class to wrap a new VarIsInitializedOp operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.data.DatasetToGraph

Factory method to create a class to wrap a new DatasetToGraph operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.data.ExperimentalFunctionBufferingResourceReset

Factory method to create a class to wrap a new ExperimentalFunctionBufferingResourceReset operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.data.ExperimentalIdentityIndexedDataset

Factory method to create a class to wrap a new ExperimentalIdentityIndexedDataset operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.data.ExperimentalIteratorGetDevice

Factory method to create a class to wrap a new ExperimentalIteratorGetDevice operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.data.IteratorToStringHandle

Factory method to create a class to wrap a new IteratorToStringHandle operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.data.MultiDeviceIteratorToStringHandle

Factory method to create a class to wrap a new MultiDeviceIteratorToStringHandle operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.data.OptionalHasValue

Factory method to create a class to wrap a new OptionalHasValue operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.data.SerializeIterator

Factory method to create a class to wrap a new SerializeIterator operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.io.QueueIsClosed

Factory method to create a class to wrap a new QueueIsClosed operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.io.QueueSize

Factory method to create a class to wrap a new QueueSize operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.io.ReaderNumRecordsProduced

Factory method to create a class to wrap a new ReaderNumRecordsProduced operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.io.ReaderNumWorkUnitsCompleted

Factory method to create a class to wrap a new ReaderNumWorkUnitsCompleted operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.io.ReaderReset

Factory method to create a class to wrap a new ReaderReset operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.io.ReaderSerializeState

Factory method to create a class to wrap a new ReaderSerializeState operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.signal.BatchFft

Factory method to create a class to wrap a new BatchFft operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.signal.BatchFft2d

Factory method to create a class to wrap a new BatchFft2d operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.signal.BatchFft3d

Factory method to create a class to wrap a new BatchFft3d operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.signal.BatchIfft

Factory method to create a class to wrap a new BatchIfft operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.signal.BatchIfft2d

Factory method to create a class to wrap a new BatchIfft2d operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.signal.BatchIfft3d

Factory method to create a class to wrap a new BatchIfft3d operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.summary.CloseSummaryWriter

Factory method to create a class to wrap a new CloseSummaryWriter operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.summary.FlushSummaryWriter

Factory method to create a class to wrap a new FlushSummaryWriter operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.summary.StatsAggregatorSummary

Factory method to create a class to wrap a new StatsAggregatorSummary operation to the graph.

create(Scope, Operand<?>, Class<T>) - Static method in class org.tensorflow.op.core.ReadVariableOp

Factory method to create a class to wrap a new ReadVariableOp operation to the graph.

create(Scope, Operand<?>, Class<T>) - Static method in class org.tensorflow.op.core.TensorListElementShape

Factory method to create a class to wrap a new TensorListElementShape operation to the graph.

create(Scope, Operand<?>, Class<T>) - Static method in class org.tensorflow.op.core.TensorListPopBack

Factory method to create a class to wrap a new TensorListPopBack operation to the graph.

create(Scope, Operand<?>, Class<T>) - Static method in class org.tensorflow.op.core.VariableShape

Factory method to create a class to wrap a new VariableShape operation to the graph.

create(Scope, Operand<?>, Class<T>, Class<U>) - Static method in class org.tensorflow.op.core.LookupTableExport

Factory method to create a class to wrap a new LookupTableExport operation to the graph.

create(Scope, Operand<?>, Class<T>, TensorListStack.Options...) - Static method in class org.tensorflow.op.core.TensorListStack

Factory method to create a class to wrap a new TensorListStack operation to the graph.

create(Scope, Operand<?>, Iterable<? extends Operand<?>>, Gradients.Options...) - Static method in class org.tensorflow.op.core.Gradients

Adds gradients computation ops to the graph according to scope.

create(Scope, Operand<?>, Iterable<Operand<?>>) - Static method in class org.tensorflow.op.data.EnqueueInQueueDataset

Factory method to create a class to wrap a new EnqueueInQueueDataset operation to the graph.

create(Scope, Operand<?>, Iterable<Operand<?>>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.ExperimentalDirectedInterleaveDataset

Factory method to create a class to wrap a new ExperimentalDirectedInterleaveDataset operation to the graph.

create(Scope, Operand<?>, Iterable<Operand<?>>, QueueEnqueue.Options...) - Static method in class org.tensorflow.op.io.QueueEnqueue

Factory method to create a class to wrap a new QueueEnqueue operation to the graph.

create(Scope, Operand<?>, Iterable<Operand<?>>, QueueEnqueueMany.Options...) - Static method in class org.tensorflow.op.io.QueueEnqueueMany

Factory method to create a class to wrap a new QueueEnqueueMany operation to the graph.

create(Scope, Operand<?>, Iterable<Operand<Float>>) - Static method in class org.tensorflow.op.core.BoostedTreesQuantileStreamResourceAddSummaries

Factory method to create a class to wrap a new BoostedTreesQuantileStreamResourceAddSummaries operation to the graph.

create(Scope, Operand<?>, Iterable<Operand<Float>>) - Static method in class org.tensorflow.op.core.BoostedTreesQuantileStreamResourceDeserialize

Factory method to create a class to wrap a new BoostedTreesQuantileStreamResourceDeserialize operation to the graph.

create(Scope, Operand<?>, Iterable<Operand<Integer>>, Long) - Static method in class org.tensorflow.op.core.BoostedTreesExampleDebugOutputs

Factory method to create a class to wrap a new BoostedTreesExampleDebugOutputs operation to the graph.

create(Scope, Operand<?>, Iterable<Operand<Integer>>, Long) - Static method in class org.tensorflow.op.core.BoostedTreesPredict

Factory method to create a class to wrap a new BoostedTreesPredict operation to the graph.

create(Scope, Operand<?>, Long) - Static method in class org.tensorflow.op.core.BoostedTreesQuantileStreamResourceGetBucketBoundaries

Factory method to create a class to wrap a new BoostedTreesQuantileStreamResourceGetBucketBoundaries operation to the graph.

create(Scope, Operand<?>, Long, Class<T>) - Static method in class org.tensorflow.op.core.ResourceCountUpTo

Factory method to create a class to wrap a new ResourceCountUpTo operation to the graph.

create(Scope, Operand<?>, List<Class<?>>) - Static method in class org.tensorflow.op.data.ExperimentalFunctionBufferingResourceGetNext

Factory method to create a class to wrap a new ExperimentalFunctionBufferingResourceGetNext operation to the graph.

create(Scope, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.DatasetToSingleElement

Factory method to create a class to wrap a new DatasetToSingleElement operation to the graph.

create(Scope, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.ExperimentalIgnoreErrorsDataset

Factory method to create a class to wrap a new ExperimentalIgnoreErrorsDataset operation to the graph.

create(Scope, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.ExperimentalNonSerializableDataset

Factory method to create a class to wrap a new ExperimentalNonSerializableDataset operation to the graph.

create(Scope, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.ExperimentalUniqueDataset

Factory method to create a class to wrap a new ExperimentalUniqueDataset operation to the graph.

create(Scope, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.FilterByLastComponentDataset

Factory method to create a class to wrap a new FilterByLastComponentDataset operation to the graph.

create(Scope, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.IteratorGetNext

Factory method to create a class to wrap a new IteratorGetNext operation to the graph.

create(Scope, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.IteratorGetNextAsOptional

Factory method to create a class to wrap a new IteratorGetNextAsOptional operation to the graph.

create(Scope, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.IteratorGetNextSync

Factory method to create a class to wrap a new IteratorGetNextSync operation to the graph.

create(Scope, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.ModelDataset

Factory method to create a class to wrap a new ModelDataset operation to the graph.

create(Scope, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.OptionalGetValue

Factory method to create a class to wrap a new OptionalGetValue operation to the graph.

create(Scope, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.UnbatchDataset

Factory method to create a class to wrap a new UnbatchDataset operation to the graph.

create(Scope, Operand<?>, List<Class<?>>, QueueDequeue.Options...) - Static method in class org.tensorflow.op.io.QueueDequeue

Factory method to create a class to wrap a new QueueDequeue operation to the graph.

create(Scope, Operand<?>, DestroyResourceOp.Options...) - Static method in class org.tensorflow.op.core.DestroyResourceOp

Factory method to create a class to wrap a new DestroyResourceOp operation to the graph.

create(Scope, Operand<?>, QueueClose.Options...) - Static method in class org.tensorflow.op.io.QueueClose

Factory method to create a class to wrap a new QueueClose operation to the graph.

create(Scope, Operand<?>, Operand<?>) - Static method in class org.tensorflow.op.data.DeserializeIterator

Factory method to create a class to wrap a new DeserializeIterator operation to the graph.

create(Scope, Operand<?>, Operand<?>) - Static method in class org.tensorflow.op.data.ExperimentalIndexedDatasetMaterialize

Factory method to create a class to wrap a new ExperimentalIndexedDatasetMaterialize operation to the graph.

create(Scope, Operand<?>, Operand<?>) - Static method in class org.tensorflow.op.data.MakeIterator

Factory method to create a class to wrap a new MakeIterator operation to the graph.

create(Scope, Operand<?>, Operand<?>) - Static method in class org.tensorflow.op.io.ReaderRead

Factory method to create a class to wrap a new ReaderRead operation to the graph.

create(Scope, Operand<?>, Operand<?>, Class<T>) - Static method in class org.tensorflow.op.core.TensorListConcatLists

Factory method to create a class to wrap a new TensorListConcatLists operation to the graph.

create(Scope, Operand<?>, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.ConcatenateDataset

Factory method to create a class to wrap a new ConcatenateDataset operation to the graph.

create(Scope, Operand<?>, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.ExperimentalIndexedDatasetGet

Factory method to create a class to wrap a new ExperimentalIndexedDatasetGet operation to the graph.

create(Scope, Operand<?>, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.ExperimentalThreadPoolDataset

Factory method to create a class to wrap a new ExperimentalThreadPoolDataset operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<?>) - Static method in class org.tensorflow.op.core.GcsConfigureBlockCache

Factory method to create a class to wrap a new GcsConfigureBlockCache operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyCenteredRmsProp.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp

Factory method to create a class to wrap a new ResourceApplyCenteredRmsProp operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, ResourceSparseApplyCenteredRmsProp.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp

Factory method to create a class to wrap a new ResourceSparseApplyCenteredRmsProp operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdadelta.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyAdadelta

Factory method to create a class to wrap a new ResourceApplyAdadelta operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<Long>, ResourceApplyAdagradDa.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyAdagradDa

Factory method to create a class to wrap a new ResourceApplyAdagradDa operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyRmsProp.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyRmsProp

Factory method to create a class to wrap a new ResourceApplyRmsProp operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdaMax.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyAdaMax

Factory method to create a class to wrap a new ResourceApplyAdaMax operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyFtrl.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyFtrl

Factory method to create a class to wrap a new ResourceApplyFtrl operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdam.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyAdam

Factory method to create a class to wrap a new ResourceApplyAdam operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, ResourceSparseApplyRmsProp.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyRmsProp

Factory method to create a class to wrap a new ResourceSparseApplyRmsProp operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, ResourceSparseApplyAdadelta.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdadelta

Factory method to create a class to wrap a new ResourceSparseApplyAdadelta operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<U>, Operand<T>, Operand<T>, Operand<T>, Operand<Long>, ResourceSparseApplyAdagradDa.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa

Factory method to create a class to wrap a new ResourceSparseApplyAdagradDa operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<U>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceSparseApplyFtrl.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyFtrl

Factory method to create a class to wrap a new ResourceSparseApplyFtrl operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<Long>) - Static method in class org.tensorflow.op.data.MultiDeviceIteratorInit

Factory method to create a class to wrap a new MultiDeviceIteratorInit operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<Long>) - Static method in class org.tensorflow.op.io.ReaderReadUpTo

Factory method to create a class to wrap a new ReaderReadUpTo operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<String>, Operand<String>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.SetStatsAggregatorDataset

Factory method to create a class to wrap a new SetStatsAggregatorDataset operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<T>, Operand<T>, ResourceApplyAdagrad.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyAdagrad

Factory method to create a class to wrap a new ResourceApplyAdagrad operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyMomentum.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyMomentum

Factory method to create a class to wrap a new ResourceApplyMomentum operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyProximalAdagrad.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyProximalAdagrad

Factory method to create a class to wrap a new ResourceApplyProximalAdagrad operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAddSign.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyAddSign

Factory method to create a class to wrap a new ResourceApplyAddSign operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyPowerSign.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyPowerSign

Factory method to create a class to wrap a new ResourceApplyPowerSign operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, ResourceSparseApplyProximalAdagrad.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad

Factory method to create a class to wrap a new ResourceSparseApplyProximalAdagrad operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<U>, ResourceSparseApplyAdagrad.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagrad

Factory method to create a class to wrap a new ResourceSparseApplyAdagrad operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<U>, Operand<T>, ResourceSparseApplyMomentum.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyMomentum

Factory method to create a class to wrap a new ResourceSparseApplyMomentum operation to the graph.

create(Scope, Operand<?>, Operand<Float>) - Static method in class org.tensorflow.op.core.TensorArraySize

Factory method to create a class to wrap a new TensorArraySize operation to the graph.

create(Scope, Operand<?>, Operand<Float>, Class<T>, TensorArrayConcat.Options...) - Static method in class org.tensorflow.op.core.TensorArrayConcat

Factory method to create a class to wrap a new TensorArrayConcat operation to the graph.

create(Scope, Operand<?>, Operand<Float>, Long) - Static method in class org.tensorflow.op.core.TensorForestTreePredict

Factory method to create a class to wrap a new TensorForestTreePredict operation to the graph.

create(Scope, Operand<?>, Operand<Float>, String) - Static method in class org.tensorflow.op.core.TensorArrayGrad

Factory method to create a class to wrap a new TensorArrayGrad operation to the graph.

create(Scope, Operand<?>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>) - Static method in class org.tensorflow.op.core.BoostedTreesCenterBias

Factory method to create a class to wrap a new BoostedTreesCenterBias operation to the graph.

create(Scope, Operand<?>, Operand<Float>, Operand<Integer>, String) - Static method in class org.tensorflow.op.core.TensorArrayGradWithShape

Factory method to create a class to wrap a new TensorArrayGradWithShape operation to the graph.

create(Scope, Operand<?>, Operand<Float>, Operand<Long>, BoostedTreesCreateQuantileStreamResource.Options...) - Static method in class org.tensorflow.op.core.BoostedTreesCreateQuantileStreamResource

Factory method to create a class to wrap a new BoostedTreesCreateQuantileStreamResource operation to the graph.

create(Scope, Operand<?>, Operand<Integer>) - Static method in class org.tensorflow.op.signal.Irfft

Factory method to create a class to wrap a new Irfft operation to the graph.

create(Scope, Operand<?>, Operand<Integer>) - Static method in class org.tensorflow.op.signal.Irfft2d

Factory method to create a class to wrap a new Irfft2d operation to the graph.

create(Scope, Operand<?>, Operand<Integer>) - Static method in class org.tensorflow.op.signal.Irfft3d

Factory method to create a class to wrap a new Irfft3d operation to the graph.

create(Scope, Operand<?>, Operand<Integer>, Class<T>) - Static method in class org.tensorflow.op.core.TensorListGather

Factory method to create a class to wrap a new TensorListGather operation to the graph.

create(Scope, Operand<?>, Operand<Integer>, Class<T>) - Static method in class org.tensorflow.op.core.TensorListGetItem

Factory method to create a class to wrap a new TensorListGetItem operation to the graph.

create(Scope, Operand<?>, Operand<Integer>, Iterable<Operand<Integer>>, Iterable<Operand<Float>>, Iterable<Operand<Integer>>, Iterable<Operand<Float>>, Iterable<Operand<Float>>, Operand<Integer>, Operand<Float>, Long) - Static method in class org.tensorflow.op.core.BoostedTreesUpdateEnsemble

Factory method to create a class to wrap a new BoostedTreesUpdateEnsemble operation to the graph.

create(Scope, Operand<?>, Operand<Integer>, List<Class<?>>, QueueDequeueMany.Options...) - Static method in class org.tensorflow.op.io.QueueDequeueMany

Factory method to create a class to wrap a new QueueDequeueMany operation to the graph.

create(Scope, Operand<?>, Operand<Integer>, List<Class<?>>, QueueDequeueUpTo.Options...) - Static method in class org.tensorflow.op.io.QueueDequeueUpTo

Factory method to create a class to wrap a new QueueDequeueUpTo operation to the graph.

create(Scope, Operand<?>, Operand<Integer>, Operand<Float>, Class<T>) - Static method in class org.tensorflow.op.core.TensorArrayRead

Factory method to create a class to wrap a new TensorArrayRead operation to the graph.

create(Scope, Operand<?>, Operand<Integer>, Operand<Float>, Class<T>, TensorArrayGather.Options...) - Static method in class org.tensorflow.op.core.TensorArrayGather

Factory method to create a class to wrap a new TensorArrayGather operation to the graph.

create(Scope, Operand<?>, Operand<Integer>, Operand<Integer>, Iterable<Operand<Integer>>, Long) - Static method in class org.tensorflow.op.core.BoostedTreesTrainingPredict

Factory method to create a class to wrap a new BoostedTreesTrainingPredict operation to the graph.

create(Scope, Operand<?>, Operand<Integer>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard

Factory method to create a class to wrap a new MultiDeviceIteratorGetNextFromShard operation to the graph.

create(Scope, Operand<?>, Operand<Integer>, Operand<T>) - Static method in class org.tensorflow.op.core.TensorListSetItem

Factory method to create a class to wrap a new TensorListSetItem operation to the graph.

create(Scope, Operand<?>, Operand<Integer>, Operand<T>, Operand<Float>) - Static method in class org.tensorflow.op.core.TensorArrayScatter

Factory method to create a class to wrap a new TensorArrayScatter operation to the graph.

create(Scope, Operand<?>, Operand<Integer>, Operand<T>, Operand<Float>) - Static method in class org.tensorflow.op.core.TensorArrayWrite

Factory method to create a class to wrap a new TensorArrayWrite operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Iterable<Operand<?>>, List<String>, List<String>, List<Class<?>>, List<Shape>, List<Class<?>>, List<Shape>, ParseExampleDataset.Options...) - Static method in class org.tensorflow.op.data.ParseExampleDataset

Factory method to create a class to wrap a new ParseExampleDataset operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Iterable<Operand<Long>>, Iterable<Operand<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.PrependFromQueueAndPaddedBatchDataset

Factory method to create a class to wrap a new PrependFromQueueAndPaddedBatchDataset operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Iterable<Operand<Long>>, Iterable<Operand<?>>, Operand<Boolean>, List<Shape>) - Static method in class org.tensorflow.op.data.PaddedBatchDataset

Factory method to create a class to wrap a new PaddedBatchDataset operation to the graph.

create(Scope, Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.ExperimentalMaxIntraOpParallelismDataset

Factory method to create a class to wrap a new ExperimentalMaxIntraOpParallelismDataset operation to the graph.

create(Scope, Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.ExperimentalPrivateThreadPoolDataset

Factory method to create a class to wrap a new ExperimentalPrivateThreadPoolDataset operation to the graph.

create(Scope, Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.ExperimentalSleepDataset

Factory method to create a class to wrap a new ExperimentalSleepDataset operation to the graph.

create(Scope, Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.PrefetchDataset

Factory method to create a class to wrap a new PrefetchDataset operation to the graph.

create(Scope, Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.RepeatDataset

Factory method to create a class to wrap a new RepeatDataset operation to the graph.

create(Scope, Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.SkipDataset

Factory method to create a class to wrap a new SkipDataset operation to the graph.

create(Scope, Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.TakeDataset

Factory method to create a class to wrap a new TakeDataset operation to the graph.

create(Scope, Operand<?>, Operand<Long>, BoostedTreesQuantileStreamResourceFlush.Options...) - Static method in class org.tensorflow.op.core.BoostedTreesQuantileStreamResourceFlush

Factory method to create a class to wrap a new BoostedTreesQuantileStreamResourceFlush operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Operand<Boolean>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.BatchDataset

Factory method to create a class to wrap a new BatchDataset operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.DenseToSparseBatchDataset

Factory method to create a class to wrap a new DenseToSparseBatchDataset operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.SlideDataset

Factory method to create a class to wrap a new SlideDataset operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>, ShuffleDataset.Options...) - Static method in class org.tensorflow.op.data.ShuffleDataset

Factory method to create a class to wrap a new ShuffleDataset operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Operand<Long>, Operand<Long>, Operand<Boolean>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.WindowDataset

Factory method to create a class to wrap a new WindowDataset operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Operand<Long>, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.ShuffleAndRepeatDataset

Factory method to create a class to wrap a new ShuffleAndRepeatDataset operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Operand<String>) - Static method in class org.tensorflow.op.core.BoostedTreesCreateEnsemble

Factory method to create a class to wrap a new BoostedTreesCreateEnsemble operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Operand<String>) - Static method in class org.tensorflow.op.core.BoostedTreesDeserializeEnsemble

Factory method to create a class to wrap a new BoostedTreesDeserializeEnsemble operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Operand<String>) - Static method in class org.tensorflow.op.summary.WriteGraphSummary

Factory method to create a class to wrap a new WriteGraphSummary operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Operand<String>, Operand<Float>, Operand<Float>, WriteAudioSummary.Options...) - Static method in class org.tensorflow.op.summary.WriteAudioSummary

Factory method to create a class to wrap a new WriteAudioSummary operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Operand<String>, Operand<T>) - Static method in class org.tensorflow.op.summary.WriteHistogramSummary

Factory method to create a class to wrap a new WriteHistogramSummary operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Operand<String>, Operand<T>) - Static method in class org.tensorflow.op.summary.WriteScalarSummary

Factory method to create a class to wrap a new WriteScalarSummary operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Operand<String>, Operand<T>, Operand<UInt8>, WriteImageSummary.Options...) - Static method in class org.tensorflow.op.summary.WriteImageSummary

Factory method to create a class to wrap a new WriteImageSummary operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Operand<T>, Operand<String>, Operand<String>) - Static method in class org.tensorflow.op.summary.WriteSummary

Factory method to create a class to wrap a new WriteSummary operation to the graph.

create(Scope, Operand<?>, Operand<String>) - Static method in class org.tensorflow.op.core.TensorForestCreateTreeVariable

Factory method to create a class to wrap a new TensorForestCreateTreeVariable operation to the graph.

create(Scope, Operand<?>, Operand<String>) - Static method in class org.tensorflow.op.core.TensorForestTreeDeserialize

Factory method to create a class to wrap a new TensorForestTreeDeserialize operation to the graph.

create(Scope, Operand<?>, Operand<String>) - Static method in class org.tensorflow.op.io.ReaderRestoreState

Factory method to create a class to wrap a new ReaderRestoreState operation to the graph.

create(Scope, Operand<?>, Operand<String>) - Static method in class org.tensorflow.op.summary.ImportEvent

Factory method to create a class to wrap a new ImportEvent operation to the graph.

create(Scope, Operand<?>, Operand<String>, Long, Long, InitializeTableFromTextFile.Options...) - Static method in class org.tensorflow.op.core.InitializeTableFromTextFile

Factory method to create a class to wrap a new InitializeTableFromTextFile operation to the graph.

create(Scope, Operand<?>, Operand<String>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.BytesProducedStatsDataset

Factory method to create a class to wrap a new BytesProducedStatsDataset operation to the graph.

create(Scope, Operand<?>, Operand<String>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.CacheDataset

Factory method to create a class to wrap a new CacheDataset operation to the graph.

create(Scope, Operand<?>, Operand<String>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.ExperimentalAssertNextDataset

Factory method to create a class to wrap a new ExperimentalAssertNextDataset operation to the graph.

create(Scope, Operand<?>, Operand<String>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.LatencyStatsDataset

Factory method to create a class to wrap a new LatencyStatsDataset operation to the graph.

create(Scope, Operand<?>, Operand<String>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.OptimizeDataset

Factory method to create a class to wrap a new OptimizeDataset operation to the graph.

create(Scope, Operand<?>, Operand<String>, Operand<Integer>, Operand<Integer>, Operand<String>) - Static method in class org.tensorflow.op.summary.CreateSummaryFileWriter

Factory method to create a class to wrap a new CreateSummaryFileWriter operation to the graph.

create(Scope, Operand<?>, Operand<String>, Operand<String>) - Static method in class org.tensorflow.op.data.DatasetToTfRecord

Factory method to create a class to wrap a new DatasetToTfRecord operation to the graph.

create(Scope, Operand<?>, Operand<String>, Operand<String>, Operand<String>, Operand<String>) - Static method in class org.tensorflow.op.summary.CreateSummaryDbWriter

Factory method to create a class to wrap a new CreateSummaryDbWriter operation to the graph.

create(Scope, Operand<?>, Operand<T>) - Static method in class org.tensorflow.op.core.AssignAddVariableOp

Factory method to create a class to wrap a new AssignAddVariableOp operation to the graph.

create(Scope, Operand<?>, Operand<T>) - Static method in class org.tensorflow.op.core.AssignSubVariableOp

Factory method to create a class to wrap a new AssignSubVariableOp operation to the graph.

create(Scope, Operand<?>, Operand<T>) - Static method in class org.tensorflow.op.core.AssignVariableOp

Factory method to create a class to wrap a new AssignVariableOp operation to the graph.

create(Scope, Operand<?>, Operand<T>) - Static method in class org.tensorflow.op.core.LookupTableRemove

Factory method to create a class to wrap a new LookupTableRemove operation to the graph.

create(Scope, Operand<?>, Operand<T>) - Static method in class org.tensorflow.op.core.TensorListPushBack

Factory method to create a class to wrap a new TensorListPushBack operation to the graph.

create(Scope, Operand<?>, Operand<T>) - Static method in class org.tensorflow.op.core.TensorListPushBackBatch

Factory method to create a class to wrap a new TensorListPushBackBatch operation to the graph.

create(Scope, Operand<?>, Operand<T>, Class<U>, ResourceGather.Options...) - Static method in class org.tensorflow.op.core.ResourceGather

Factory method to create a class to wrap a new ResourceGather operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<Long>, Operand<Float>) - Static method in class org.tensorflow.op.core.TensorArraySplit

Factory method to create a class to wrap a new TensorArraySplit operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<T>, ResourceApplyGradientDescent.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyGradientDescent

Factory method to create a class to wrap a new ResourceApplyGradientDescent operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyProximalGradientDescent.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent

Factory method to create a class to wrap a new ResourceApplyProximalGradientDescent operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, ResourceSparseApplyProximalGradientDescent.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent

Factory method to create a class to wrap a new ResourceSparseApplyProximalGradientDescent operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, ResourceStridedSliceAssign.Options...) - Static method in class org.tensorflow.op.core.ResourceStridedSliceAssign

Factory method to create a class to wrap a new ResourceStridedSliceAssign operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.InitializeTable

Factory method to create a class to wrap a new InitializeTable operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.LookupTableFind

Factory method to create a class to wrap a new LookupTableFind operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.LookupTableImport

Factory method to create a class to wrap a new LookupTableImport operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.LookupTableInsert

Factory method to create a class to wrap a new LookupTableInsert operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.ResourceScatterAdd

Factory method to create a class to wrap a new ResourceScatterAdd operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.ResourceScatterDiv

Factory method to create a class to wrap a new ResourceScatterDiv operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.ResourceScatterMax

Factory method to create a class to wrap a new ResourceScatterMax operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.ResourceScatterMin

Factory method to create a class to wrap a new ResourceScatterMin operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.ResourceScatterMul

Factory method to create a class to wrap a new ResourceScatterMul operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.ResourceScatterSub

Factory method to create a class to wrap a new ResourceScatterSub operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.ResourceScatterUpdate

Factory method to create a class to wrap a new ResourceScatterUpdate operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<U>, ResourceScatterNdAdd.Options...) - Static method in class org.tensorflow.op.core.ResourceScatterNdAdd

Factory method to create a class to wrap a new ResourceScatterNdAdd operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<U>, ResourceScatterNdUpdate.Options...) - Static method in class org.tensorflow.op.core.ResourceScatterNdUpdate

Factory method to create a class to wrap a new ResourceScatterNdUpdate operation to the graph.

create(Scope, Operand<Boolean>) - Static method in class org.tensorflow.op.core.LoopCond

Factory method to create a class to wrap a new LoopCond operation to the graph.

create(Scope, Operand<Boolean>) - Static method in class org.tensorflow.op.math.LogicalNot

Factory method to create a class to wrap a new LogicalNot operation to the graph.

create(Scope, Operand<Boolean>, Iterable<Operand<?>>, AssertThat.Options...) - Static method in class org.tensorflow.op.core.AssertThat

Factory method to create a class to wrap a new AssertThat operation to the graph.

create(Scope, Operand<Boolean>, Operand<Boolean>) - Static method in class org.tensorflow.op.math.LogicalAnd

Factory method to create a class to wrap a new LogicalAnd operation to the graph.

create(Scope, Operand<Boolean>, Operand<Boolean>) - Static method in class org.tensorflow.op.math.LogicalOr

Factory method to create a class to wrap a new LogicalOr operation to the graph.

create(Scope, Operand<Boolean>, Operand<T>, All.Options...) - Static method in class org.tensorflow.op.core.All

Factory method to create a class to wrap a new All operation to the graph.

create(Scope, Operand<Boolean>, Operand<T>, Any.Options...) - Static method in class org.tensorflow.op.core.Any

Factory method to create a class to wrap a new Any operation to the graph.

create(Scope, Operand<Boolean>, Operand<T>, ReduceAll.Options...) - Static method in class org.tensorflow.op.core.ReduceAll

Factory method to create a class to wrap a new ReduceAll operation to the graph.

create(Scope, Operand<Boolean>, Operand<T>, ReduceAny.Options...) - Static method in class org.tensorflow.op.core.ReduceAny

Factory method to create a class to wrap a new ReduceAny operation to the graph.

create(Scope, Operand<Boolean>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Where3

Factory method to create a class to wrap a new Where3 operation to the graph.

create(Scope, Operand<Float>, Long, Long, AudioSpectrogram.Options...) - Static method in class org.tensorflow.op.audio.AudioSpectrogram

Factory method to create a class to wrap a new AudioSpectrogram operation to the graph.

create(Scope, Operand<Float>, FakeQuantWithMinMaxArgs.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs

Factory method to create a class to wrap a new FakeQuantWithMinMaxArgs operation to the graph.

create(Scope, Operand<Float>, Operand<Float>) - Static method in class org.tensorflow.op.image.AdjustContrast

Factory method to create a class to wrap a new AdjustContrast operation to the graph.

create(Scope, Operand<Float>, Operand<Float>) - Static method in class org.tensorflow.op.image.AdjustHue

Factory method to create a class to wrap a new AdjustHue operation to the graph.

create(Scope, Operand<Float>, Operand<Float>) - Static method in class org.tensorflow.op.image.AdjustSaturation

Factory method to create a class to wrap a new AdjustSaturation operation to the graph.

create(Scope, Operand<Float>, Operand<Float>, FakeQuantWithMinMaxArgsGradient.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient

Factory method to create a class to wrap a new FakeQuantWithMinMaxArgsGradient operation to the graph.

create(Scope, Operand<Float>, Operand<Float>, Operand<Float>, Class<T>, Quantize.Options...) - Static method in class org.tensorflow.op.quantization.Quantize

Factory method to create a class to wrap a new Quantize operation to the graph.

create(Scope, Operand<Float>, Operand<Float>, Operand<Float>, FakeQuantWithMinMaxVars.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars

Factory method to create a class to wrap a new FakeQuantWithMinMaxVars operation to the graph.

create(Scope, Operand<Float>, Operand<Float>, Operand<Float>, FakeQuantWithMinMaxVarsPerChannel.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel

Factory method to create a class to wrap a new FakeQuantWithMinMaxVarsPerChannel operation to the graph.

create(Scope, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, FakeQuantWithMinMaxVarsGradient.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient

Factory method to create a class to wrap a new FakeQuantWithMinMaxVarsGradient operation to the graph.

create(Scope, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, FakeQuantWithMinMaxVarsPerChannelGradient.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient

Factory method to create a class to wrap a new FakeQuantWithMinMaxVarsPerChannelGradient operation to the graph.

create(Scope, Operand<Float>, Operand<Float>, Operand<Integer>, Operand<Float>, Operand<Float>) - Static method in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps

Factory method to create a class to wrap a new NonMaxSuppressionWithOverlaps operation to the graph.

create(Scope, Operand<Float>, Operand<Float>, Operand<Integer>, Operand<Integer>, Class<T>, CropAndResizeGradImage.Options...) - Static method in class org.tensorflow.op.image.CropAndResizeGradImage

Factory method to create a class to wrap a new CropAndResizeGradImage operation to the graph.

create(Scope, Operand<Float>, Operand<Float>, Operand<Integer>, Operand<Integer>, Operand<Float>, List<Long>, Long) - Static method in class org.tensorflow.op.train.NegTrain

Factory method to create a class to wrap a new NegTrain operation to the graph.

create(Scope, Operand<Float>, Operand<Integer>) - Static method in class org.tensorflow.op.audio.EncodeWav

Factory method to create a class to wrap a new EncodeWav operation to the graph.

create(Scope, Operand<Float>, Operand<Integer>) - Static method in class org.tensorflow.op.signal.Rfft

Factory method to create a class to wrap a new Rfft operation to the graph.

create(Scope, Operand<Float>, Operand<Integer>) - Static method in class org.tensorflow.op.signal.Rfft2d

Factory method to create a class to wrap a new Rfft2d operation to the graph.

create(Scope, Operand<Float>, Operand<Integer>) - Static method in class org.tensorflow.op.signal.Rfft3d

Factory method to create a class to wrap a new Rfft3d operation to the graph.

create(Scope, Operand<Float>, Operand<Integer>, Long, Long, CtcBeamSearchDecoder.Options...) - Static method in class org.tensorflow.op.nn.CtcBeamSearchDecoder

Factory method to create a class to wrap a new CtcBeamSearchDecoder operation to the graph.

create(Scope, Operand<Float>, Operand<Integer>, Mfcc.Options...) - Static method in class org.tensorflow.op.audio.Mfcc

Factory method to create a class to wrap a new Mfcc operation to the graph.

create(Scope, Operand<Float>, Operand<Integer>, CtcGreedyDecoder.Options...) - Static method in class org.tensorflow.op.nn.CtcGreedyDecoder

Factory method to create a class to wrap a new CtcGreedyDecoder operation to the graph.

create(Scope, Operand<Float>, Operand<Integer>, Operand<Float>, ExtractGlimpse.Options...) - Static method in class org.tensorflow.op.image.ExtractGlimpse

Factory method to create a class to wrap a new ExtractGlimpse operation to the graph.

create(Scope, Operand<Float>, Operand<Long>, Operand<Integer>, Operand<Integer>, CtcLoss.Options...) - Static method in class org.tensorflow.op.nn.CtcLoss

Factory method to create a class to wrap a new CtcLoss operation to the graph.

create(Scope, Operand<Float>, Operand<T>, ResizeBicubicGrad.Options...) - Static method in class org.tensorflow.op.image.ResizeBicubicGrad

Factory method to create a class to wrap a new ResizeBicubicGrad operation to the graph.

create(Scope, Operand<Float>, Operand<T>, ResizeBilinearGrad.Options...) - Static method in class org.tensorflow.op.image.ResizeBilinearGrad

Factory method to create a class to wrap a new ResizeBilinearGrad operation to the graph.

create(Scope, Operand<Float>, Operand<T>, Operand<Float>, Operand<Integer>, CropAndResizeGradBoxes.Options...) - Static method in class org.tensorflow.op.image.CropAndResizeGradBoxes

Factory method to create a class to wrap a new CropAndResizeGradBoxes operation to the graph.

create(Scope, Operand<Float>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.InTopK

Factory method to create a class to wrap a new InTopK operation to the graph.

create(Scope, Operand<Integer>) - Static method in class org.tensorflow.op.strings.UnicodeScript

Factory method to create a class to wrap a new UnicodeScript operation to the graph.

create(Scope, Operand<Integer>, Class<T>, Empty.Options...) - Static method in class org.tensorflow.op.core.Empty

Factory method to create a class to wrap a new Empty operation to the graph.

create(Scope, Operand<Integer>, Class<T>, TensorArray.Options...) - Static method in class org.tensorflow.op.core.TensorArray

Factory method to create a class to wrap a new TensorArray operation to the graph.

create(Scope, Operand<Integer>, Iterable<Operand<?>>, List<String>, String, EncodeProto.Options...) - Static method in class org.tensorflow.op.core.EncodeProto

Factory method to create a class to wrap a new EncodeProto operation to the graph.

create(Scope, Operand<Integer>, Iterable<Operand<Float>>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Long) - Static method in class org.tensorflow.op.core.BoostedTreesCalculateBestGainsPerFeature

Factory method to create a class to wrap a new BoostedTreesCalculateBestGainsPerFeature operation to the graph.

create(Scope, Operand<Integer>, List<Class<?>>, MapUnstageNoKey.Options...) - Static method in class org.tensorflow.op.core.MapUnstageNoKey

Factory method to create a class to wrap a new MapUnstageNoKey operation to the graph.

create(Scope, Operand<Integer>, List<Class<?>>, OrderedMapUnstageNoKey.Options...) - Static method in class org.tensorflow.op.core.OrderedMapUnstageNoKey

Factory method to create a class to wrap a new OrderedMapUnstageNoKey operation to the graph.

create(Scope, Operand<Integer>, List<Class<?>>, StagePeek.Options...) - Static method in class org.tensorflow.op.core.StagePeek

Factory method to create a class to wrap a new StagePeek operation to the graph.

create(Scope, Operand<Integer>, Operand<Float>, Operand<Float>, Iterable<Operand<Integer>>, Long, Long) - Static method in class org.tensorflow.op.core.BoostedTreesMakeStatsSummary

Factory method to create a class to wrap a new BoostedTreesMakeStatsSummary operation to the graph.

create(Scope, Operand<Integer>, Operand<Integer>, Operand<Integer>, Class<T>, Class<U>, CudnnRnnParamsSize.Options...) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize

Factory method to create a class to wrap a new CudnnRnnParamsSize operation to the graph.

create(Scope, Operand<Integer>, Operand<Integer>, Operand<Integer>, Operand<T>, Iterable<Operand<T>>, CudnnRnnCanonicalToParams.Options...) - Static method in class org.tensorflow.op.nn.CudnnRnnCanonicalToParams

Factory method to create a class to wrap a new CudnnRnnCanonicalToParams operation to the graph.

create(Scope, Operand<Integer>, Operand<Integer>, Operand<Integer>, Operand<T>, Long, CudnnRnnParamsToCanonical.Options...) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsToCanonical

Factory method to create a class to wrap a new CudnnRnnParamsToCanonical operation to the graph.

create(Scope, Operand<Integer>, Operand<Integer>, Operand<T>) - Static method in class org.tensorflow.op.math.Bincount

Factory method to create a class to wrap a new Bincount operation to the graph.

create(Scope, Operand<Integer>, Operand<T>) - Static method in class org.tensorflow.op.core.RefSelect

Factory method to create a class to wrap a new RefSelect operation to the graph.

create(Scope, Operand<Integer>, Operand<T>, Iterable<Operand<Float>>, Iterable<Operand<Float>>) - Static method in class org.tensorflow.op.core.QuantizedConcat

Factory method to create a class to wrap a new QuantizedConcat operation to the graph.

create(Scope, Operand<Integer>, Operand<T>, Long) - Static method in class org.tensorflow.op.core.Split

Factory method to create a class to wrap a new Split operation to the graph.

create(Scope, Operand<Integer>, Operand<T>, List<Long>, List<Long>, String, AvgPool3dGrad.Options...) - Static method in class org.tensorflow.op.nn.AvgPool3dGrad

Factory method to create a class to wrap a new AvgPool3dGrad operation to the graph.

create(Scope, Operand<Integer>, Operand<T>, List<Long>, List<Long>, String, AvgPoolGrad.Options...) - Static method in class org.tensorflow.op.nn.AvgPoolGrad

Factory method to create a class to wrap a new AvgPoolGrad operation to the graph.

create(Scope, Operand<Integer>, Operand<T>, Operand<T>, List<Long>, String, Conv2dBackpropInput.Options...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInput

Factory method to create a class to wrap a new Conv2dBackpropInput operation to the graph.

create(Scope, Operand<Integer>, Operand<T>, Operand<T>, List<Long>, String, DepthwiseConv2dNativeBackpropInput.Options...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput

Factory method to create a class to wrap a new DepthwiseConv2dNativeBackpropInput operation to the graph.

create(Scope, Operand<Long>, Class<T>, TakeManySparseFromTensorsMap.Options...) - Static method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap

Factory method to create a class to wrap a new TakeManySparseFromTensorsMap operation to the graph.

create(Scope, Operand<Long>, Long, Long, Boolean, Long, FixedUnigramCandidateSampler.Options...) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler

Factory method to create a class to wrap a new FixedUnigramCandidateSampler operation to the graph.

create(Scope, Operand<Long>, Long, Long, Boolean, Long, LearnedUnigramCandidateSampler.Options...) - Static method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler

Factory method to create a class to wrap a new LearnedUnigramCandidateSampler operation to the graph.

create(Scope, Operand<Long>, Long, Long, Boolean, Long, LogUniformCandidateSampler.Options...) - Static method in class org.tensorflow.op.random.LogUniformCandidateSampler

Factory method to create a class to wrap a new LogUniformCandidateSampler operation to the graph.

create(Scope, Operand<Long>, Long, Long, Boolean, Long, UniformCandidateSampler.Options...) - Static method in class org.tensorflow.op.random.UniformCandidateSampler

Factory method to create a class to wrap a new UniformCandidateSampler operation to the graph.

create(Scope, Operand<Long>, Long, Long, Boolean, AllCandidateSampler.Options...) - Static method in class org.tensorflow.op.random.AllCandidateSampler

Factory method to create a class to wrap a new AllCandidateSampler operation to the graph.

create(Scope, Operand<Long>, Operand<Integer>, Iterable<Operand<?>>, List<Class<?>>, MapStage.Options...) - Static method in class org.tensorflow.op.core.MapStage

Factory method to create a class to wrap a new MapStage operation to the graph.

create(Scope, Operand<Long>, Operand<Integer>, Iterable<Operand<?>>, List<Class<?>>, OrderedMapStage.Options...) - Static method in class org.tensorflow.op.core.OrderedMapStage

Factory method to create a class to wrap a new OrderedMapStage operation to the graph.

create(Scope, Operand<Long>, Operand<Integer>, List<Class<?>>, MapPeek.Options...) - Static method in class org.tensorflow.op.core.MapPeek

Factory method to create a class to wrap a new MapPeek operation to the graph.

create(Scope, Operand<Long>, Operand<Integer>, List<Class<?>>, MapUnstage.Options...) - Static method in class org.tensorflow.op.core.MapUnstage

Factory method to create a class to wrap a new MapUnstage operation to the graph.

create(Scope, Operand<Long>, Operand<Integer>, List<Class<?>>, OrderedMapPeek.Options...) - Static method in class org.tensorflow.op.core.OrderedMapPeek

Factory method to create a class to wrap a new OrderedMapPeek operation to the graph.

create(Scope, Operand<Long>, Operand<Integer>, List<Class<?>>, OrderedMapUnstage.Options...) - Static method in class org.tensorflow.op.core.OrderedMapUnstage

Factory method to create a class to wrap a new OrderedMapUnstage operation to the graph.

create(Scope, Operand<Long>, Operand<Long>, Long, ComputeAccidentalHits.Options...) - Static method in class org.tensorflow.op.nn.ComputeAccidentalHits

Factory method to create a class to wrap a new ComputeAccidentalHits operation to the graph.

create(Scope, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.RandomDataset

Factory method to create a class to wrap a new RandomDataset operation to the graph.

create(Scope, Operand<Long>, Operand<Long>, Operand<Long>) - Static method in class org.tensorflow.op.sparse.SparseReshape

Factory method to create a class to wrap a new SparseReshape operation to the graph.

create(Scope, Operand<Long>, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.RangeDataset

Factory method to create a class to wrap a new RangeDataset operation to the graph.

create(Scope, Operand<Long>, Operand<Long>, Operand<T>, Operand<Long>, Long) - Static method in class org.tensorflow.op.sparse.SparseSplit

Factory method to create a class to wrap a new SparseSplit operation to the graph.

create(Scope, Operand<Long>, Operand<T>) - Static method in class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad

Factory method to create a class to wrap a new SparseFillEmptyRowsGrad operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>) - Static method in class org.tensorflow.op.data.SparseTensorSliceDataset

Factory method to create a class to wrap a new SparseTensorSliceDataset operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>) - Static method in class org.tensorflow.op.io.SerializeManySparse

Factory method to create a class to wrap a new SerializeManySparse operation to the graph, using default output types.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>) - Static method in class org.tensorflow.op.io.SerializeSparse

Factory method to create a class to wrap a new SerializeSparse operation to the graph, using default output types.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>) - Static method in class org.tensorflow.op.sparse.SparseReorder

Factory method to create a class to wrap a new SparseReorder operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>) - Static method in class org.tensorflow.op.sparse.SparseSoftmax

Factory method to create a class to wrap a new SparseSoftmax operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Class<U>) - Static method in class org.tensorflow.op.io.SerializeManySparse

Factory method to create a class to wrap a new SerializeManySparse operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Class<U>) - Static method in class org.tensorflow.op.io.SerializeSparse

Factory method to create a class to wrap a new SerializeSparse operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, SetSize.Options...) - Static method in class org.tensorflow.op.core.SetSize

Factory method to create a class to wrap a new SetSize operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, AddManySparseToTensorsMap.Options...) - Static method in class org.tensorflow.op.sparse.AddManySparseToTensorsMap

Factory method to create a class to wrap a new AddManySparseToTensorsMap operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, AddSparseToTensorsMap.Options...) - Static method in class org.tensorflow.op.sparse.AddSparseToTensorsMap

Factory method to create a class to wrap a new AddSparseToTensorsMap operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<Integer>, SparseReduceMax.Options...) - Static method in class org.tensorflow.op.sparse.SparseReduceMax

Factory method to create a class to wrap a new SparseReduceMax operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<Integer>, SparseReduceMaxSparse.Options...) - Static method in class org.tensorflow.op.sparse.SparseReduceMaxSparse

Factory method to create a class to wrap a new SparseReduceMaxSparse operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<Integer>, SparseReduceSum.Options...) - Static method in class org.tensorflow.op.sparse.SparseReduceSum

Factory method to create a class to wrap a new SparseReduceSum operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<Integer>, SparseReduceSumSparse.Options...) - Static method in class org.tensorflow.op.sparse.SparseReduceSumSparse

Factory method to create a class to wrap a new SparseReduceSumSparse operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<Long>, FractionalAvgPoolGrad.Options...) - Static method in class org.tensorflow.op.nn.FractionalAvgPoolGrad

Factory method to create a class to wrap a new FractionalAvgPoolGrad operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<Long>, Operand<Long>) - Static method in class org.tensorflow.op.sparse.SparseSlice

Factory method to create a class to wrap a new SparseSlice operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<Long>, Operand<T>, Operand<Long>) - Static method in class org.tensorflow.op.sparse.SparseSparseMaximum

Factory method to create a class to wrap a new SparseSparseMaximum operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<Long>, Operand<T>, Operand<Long>) - Static method in class org.tensorflow.op.sparse.SparseSparseMinimum

Factory method to create a class to wrap a new SparseSparseMinimum operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<Long>, Operand<T>, Operand<Long>, String, SparseToSparseSetOperation.Options...) - Static method in class org.tensorflow.op.sparse.SparseToSparseSetOperation

Factory method to create a class to wrap a new SparseToSparseSetOperation operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<Long>, Operand<T>, Operand<Long>, EditDistance.Options...) - Static method in class org.tensorflow.op.core.EditDistance

Factory method to create a class to wrap a new EditDistance operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<Long>, Operand<T>, Operand<Long>, Operand<U>) - Static method in class org.tensorflow.op.sparse.SparseAdd

Factory method to create a class to wrap a new SparseAdd operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<T>) - Static method in class org.tensorflow.op.sparse.SparseDenseCwiseAdd

Factory method to create a class to wrap a new SparseDenseCwiseAdd operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<T>) - Static method in class org.tensorflow.op.sparse.SparseDenseCwiseDiv

Factory method to create a class to wrap a new SparseDenseCwiseDiv operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<T>) - Static method in class org.tensorflow.op.sparse.SparseDenseCwiseMul

Factory method to create a class to wrap a new SparseDenseCwiseMul operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<T>) - Static method in class org.tensorflow.op.sparse.SparseFillEmptyRows

Factory method to create a class to wrap a new SparseFillEmptyRows operation to the graph.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.core.BarrierIncompleteSize

Factory method to create a class to wrap a new BarrierIncompleteSize operation to the graph.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.core.BarrierReadySize

Factory method to create a class to wrap a new BarrierReadySize operation to the graph.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.core.DeleteSessionTensor

Factory method to create a class to wrap a new DeleteSessionTensor operation to the graph.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.core.ExperimentalMatchingFilesDataset

Factory method to create a class to wrap a new ExperimentalMatchingFilesDataset operation to the graph.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.core.GcsConfigureCredentials

Factory method to create a class to wrap a new GcsConfigureCredentials operation to the graph.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.image.DecodeGif

Factory method to create a class to wrap a new DecodeGif operation to the graph.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.image.ExtractJpegShape

Factory method to create a class to wrap a new ExtractJpegShape operation to the graph, using default output types.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.io.DecodeBase64

Factory method to create a class to wrap a new DecodeBase64 operation to the graph.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.io.DecodeJsonExample

Factory method to create a class to wrap a new DecodeJsonExample operation to the graph.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.io.MatchingFiles

Factory method to create a class to wrap a new MatchingFiles operation to the graph.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.io.ReadFile

Factory method to create a class to wrap a new ReadFile operation to the graph.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.strings.Strip

Factory method to create a class to wrap a new Strip operation to the graph.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.strings.ToNumber

Factory method to create a class to wrap a new ToNumber operation to the graph, using default output types.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.train.AccumulatorNumAccumulated

Factory method to create a class to wrap a new AccumulatorNumAccumulated operation to the graph.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.train.SdcaFprint

Factory method to create a class to wrap a new SdcaFprint operation to the graph.

create(Scope, Operand<String>, Class<T>) - Static method in class org.tensorflow.op.core.GetSessionTensor

Factory method to create a class to wrap a new GetSessionTensor operation to the graph.

create(Scope, Operand<String>, Class<T>) - Static method in class org.tensorflow.op.image.ExtractJpegShape

Factory method to create a class to wrap a new ExtractJpegShape operation to the graph.

create(Scope, Operand<String>, Class<T>) - Static method in class org.tensorflow.op.io.DeserializeManySparse

Factory method to create a class to wrap a new DeserializeManySparse operation to the graph.

create(Scope, Operand<String>, Class<T>) - Static method in class org.tensorflow.op.io.ParseTensor

Factory method to create a class to wrap a new ParseTensor operation to the graph.

create(Scope, Operand<String>, Class<T>) - Static method in class org.tensorflow.op.strings.ToNumber

Factory method to create a class to wrap a new ToNumber operation to the graph.

create(Scope, Operand<String>, Class<T>, DecodePng.Options...) - Static method in class org.tensorflow.op.image.DecodePng

Factory method to create a class to wrap a new DecodePng operation to the graph.

create(Scope, Operand<String>, Class<T>, DecodeRaw.Options...) - Static method in class org.tensorflow.op.io.DecodeRaw

Factory method to create a class to wrap a new DecodeRaw operation to the graph.

create(Scope, Operand<String>, Iterable<Operand<?>>, Long, List<String>, List<String>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.io.ParseSingleExample

Factory method to create a class to wrap a new ParseSingleExample operation to the graph.

create(Scope, Operand<String>, Iterable<Operand<?>>, DecodeCsv.Options...) - Static method in class org.tensorflow.op.io.DecodeCsv

Factory method to create a class to wrap a new DecodeCsv operation to the graph.

create(Scope, Operand<String>, Long) - Static method in class org.tensorflow.op.strings.ToHashBucket

Factory method to create a class to wrap a new ToHashBucket operation to the graph.

create(Scope, Operand<String>, Long) - Static method in class org.tensorflow.op.strings.ToHashBucketFast

Factory method to create a class to wrap a new ToHashBucketFast operation to the graph.

create(Scope, Operand<String>, Long, List<Long>) - Static method in class org.tensorflow.op.strings.ToHashBucketStrong

Factory method to create a class to wrap a new ToHashBucketStrong operation to the graph.

create(Scope, Operand<String>, String) - Static method in class org.tensorflow.op.strings.StaticRegexFullMatch

Factory method to create a class to wrap a new StaticRegexFullMatch operation to the graph.

create(Scope, Operand<String>, String, String, StaticRegexReplace.Options...) - Static method in class org.tensorflow.op.strings.StaticRegexReplace

Factory method to create a class to wrap a new StaticRegexReplace operation to the graph.

create(Scope, Operand<String>, String, String, UnicodeTranscode.Options...) - Static method in class org.tensorflow.op.strings.UnicodeTranscode

Factory method to create a class to wrap a new UnicodeTranscode operation to the graph.

create(Scope, Operand<String>, String, List<String>, List<Class<?>>, DecodeProto.Options...) - Static method in class org.tensorflow.op.core.DecodeProto

Factory method to create a class to wrap a new DecodeProto operation to the graph.

create(Scope, Operand<String>, String, UnicodeDecodeWithOffsets.Options...) - Static method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets

Factory method to create a class to wrap a new UnicodeDecodeWithOffsets operation to the graph.

create(Scope, Operand<String>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.ExperimentalLmdbDataset

Factory method to create a class to wrap a new ExperimentalLmdbDataset operation to the graph.

create(Scope, Operand<String>, List<Class<?>>, IteratorFromStringHandle.Options...) - Static method in class org.tensorflow.op.data.IteratorFromStringHandle

Factory method to create a class to wrap a new IteratorFromStringHandle operation to the graph.

create(Scope, Operand<String>, List<Class<?>>, MultiDeviceIteratorFromStringHandle.Options...) - Static method in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle

Factory method to create a class to wrap a new MultiDeviceIteratorFromStringHandle operation to the graph.

create(Scope, Operand<String>, DecodeWav.Options...) - Static method in class org.tensorflow.op.audio.DecodeWav

Factory method to create a class to wrap a new DecodeWav operation to the graph.

create(Scope, Operand<String>, BarrierClose.Options...) - Static method in class org.tensorflow.op.core.BarrierClose

Factory method to create a class to wrap a new BarrierClose operation to the graph.

create(Scope, Operand<String>, Print.Options...) - Static method in class org.tensorflow.op.core.Print

Factory method to create a class to wrap a new Print operation to the graph.

create(Scope, Operand<String>, DecodeBmp.Options...) - Static method in class org.tensorflow.op.image.DecodeBmp

Factory method to create a class to wrap a new DecodeBmp operation to the graph.

create(Scope, Operand<String>, DecodeJpeg.Options...) - Static method in class org.tensorflow.op.image.DecodeJpeg

Factory method to create a class to wrap a new DecodeJpeg operation to the graph.

create(Scope, Operand<String>, DecodePng.Options...) - Static method in class org.tensorflow.op.image.DecodePng

Factory method to create a class to wrap a new DecodePng operation to the graph, using default output types.

create(Scope, Operand<String>, DecodeCompressed.Options...) - Static method in class org.tensorflow.op.io.DecodeCompressed

Factory method to create a class to wrap a new DecodeCompressed operation to the graph.

create(Scope, Operand<String>, EncodeBase64.Options...) - Static method in class org.tensorflow.op.io.EncodeBase64

Factory method to create a class to wrap a new EncodeBase64 operation to the graph.

create(Scope, Operand<String>, StringLength.Options...) - Static method in class org.tensorflow.op.strings.StringLength

Factory method to create a class to wrap a new StringLength operation to the graph.

create(Scope, Operand<String>, Operand<Float>, Class<T>, TensorArrayPack.Options...) - Static method in class org.tensorflow.op.core.TensorArrayPack

Factory method to create a class to wrap a new TensorArrayPack operation to the graph.

create(Scope, Operand<String>, Operand<Float>, Operand<Float>, AudioSummary.Options...) - Static method in class org.tensorflow.op.summary.AudioSummary

Factory method to create a class to wrap a new AudioSummary operation to the graph.

create(Scope, Operand<String>, Operand<Integer>) - Static method in class org.tensorflow.op.io.ShardedFilespec

Factory method to create a class to wrap a new ShardedFilespec operation to the graph.

create(Scope, Operand<String>, Operand<Integer>, Class<T>) - Static method in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient

Factory method to create a class to wrap a new SparseAccumulatorTakeGradient operation to the graph.

create(Scope, Operand<String>, Operand<Integer>, Class<T>) - Static method in class org.tensorflow.op.train.AccumulatorTakeGradient

Factory method to create a class to wrap a new AccumulatorTakeGradient operation to the graph.

create(Scope, Operand<String>, Operand<Integer>, List<Class<?>>, BarrierTakeMany.Options...) - Static method in class org.tensorflow.op.core.BarrierTakeMany

Factory method to create a class to wrap a new BarrierTakeMany operation to the graph.

create(Scope, Operand<String>, Operand<Integer>, DecodeAndCropJpeg.Options...) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg

Factory method to create a class to wrap a new DecodeAndCropJpeg operation to the graph.

create(Scope, Operand<String>, Operand<Integer>, ReduceJoin.Options...) - Static method in class org.tensorflow.op.strings.ReduceJoin

Factory method to create a class to wrap a new ReduceJoin operation to the graph.

create(Scope, Operand<String>, Operand<Integer>, Operand<Integer>) - Static method in class org.tensorflow.op.io.ShardedFilename

Factory method to create a class to wrap a new ShardedFilename operation to the graph.

create(Scope, Operand<String>, Operand<Long>) - Static method in class org.tensorflow.op.train.AccumulatorSetGlobalStep

Factory method to create a class to wrap a new AccumulatorSetGlobalStep operation to the graph.

create(Scope, Operand<String>, Operand<Long>, Operand<Long>, Operand<Long>, Operand<Long>, Operand<String>) - Static method in class org.tensorflow.op.data.FixedLengthRecordDataset

Factory method to create a class to wrap a new FixedLengthRecordDataset operation to the graph.

create(Scope, Operand<String>, Operand<Long>, Operand<Long>, Operand<T>, Operand<Long>, Boolean) - Static method in class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient

Factory method to create a class to wrap a new SparseAccumulatorApplyGradient operation to the graph.

create(Scope, Operand<String>, Operand<Long>, Operand<T>) - Static method in class org.tensorflow.op.train.AccumulatorApplyGradient

Factory method to create a class to wrap a new AccumulatorApplyGradient operation to the graph.

create(Scope, Operand<String>, Operand<String>) - Static method in class org.tensorflow.op.io.WriteFile

Factory method to create a class to wrap a new WriteFile operation to the graph.

create(Scope, Operand<String>, Operand<String>) - Static method in class org.tensorflow.op.strings.RegexFullMatch

Factory method to create a class to wrap a new RegexFullMatch operation to the graph.

create(Scope, Operand<String>, Operand<String>, Iterable<Operand<?>>, List<String>, List<String>, List<String>, List<String>, List<String>, List<Class<?>>, List<Class<?>>, List<Class<?>>, ParseSequenceExample.Options...) - Static method in class org.tensorflow.op.io.ParseSequenceExample

Factory method to create a class to wrap a new ParseSequenceExample operation to the graph.

create(Scope, Operand<String>, Operand<String>, Iterable<Operand<String>>, Iterable<Operand<String>>, Iterable<Operand<?>>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.io.ParseExample

Factory method to create a class to wrap a new ParseExample operation to the graph.

create(Scope, Operand<String>, Operand<String>, Iterable<Operand<String>>, Iterable<Operand<String>>, Iterable<Operand<String>>, Iterable<Operand<String>>, Iterable<Operand<?>>, Operand<String>, List<Class<?>>, List<Class<?>>, List<Class<?>>, ParseSingleSequenceExample.Options...) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample

Factory method to create a class to wrap a new ParseSingleSequenceExample operation to the graph.

create(Scope, Operand<String>, Operand<String>, Long, Long, GenerateVocabRemapping.Options...) - Static method in class org.tensorflow.op.train.GenerateVocabRemapping

Factory method to create a class to wrap a new GenerateVocabRemapping operation to the graph.

create(Scope, Operand<String>, Operand<String>, StringSplit.Options...) - Static method in class org.tensorflow.op.strings.StringSplit

Factory method to create a class to wrap a new StringSplit operation to the graph.

create(Scope, Operand<String>, Operand<String>, MergeV2Checkpoints.Options...) - Static method in class org.tensorflow.op.train.MergeV2Checkpoints

Factory method to create a class to wrap a new MergeV2Checkpoints operation to the graph.

create(Scope, Operand<String>, Operand<String>, Operand<Long>) - Static method in class org.tensorflow.op.data.TextLineDataset

Factory method to create a class to wrap a new TextLineDataset operation to the graph.

create(Scope, Operand<String>, Operand<String>, Operand<Long>) - Static method in class org.tensorflow.op.data.TfRecordDataset

Factory method to create a class to wrap a new TfRecordDataset operation to the graph.

create(Scope, Operand<String>, Operand<String>, Operand<Long>, Operand<Boolean>, Operand<String>, Operand<Boolean>, Operand<String>, Operand<Long>, Iterable<Operand<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.ExperimentalCsvDataset

Factory method to create a class to wrap a new ExperimentalCsvDataset operation to the graph.

create(Scope, Operand<String>, Operand<String>, Operand<Long>, Operand<Long>, Operand<Float>, Long, Long, LoadAndRemapMatrix.Options...) - Static method in class org.tensorflow.op.linalg.LoadAndRemapMatrix

Factory method to create a class to wrap a new LoadAndRemapMatrix operation to the graph.

create(Scope, Operand<String>, Operand<String>, Operand<String>, Class<T>, RestoreSlice.Options...) - Static method in class org.tensorflow.op.train.RestoreSlice

Factory method to create a class to wrap a new RestoreSlice operation to the graph.

create(Scope, Operand<String>, Operand<String>, Operand<String>, Iterable<Operand<?>>) - Static method in class org.tensorflow.op.train.Save

Factory method to create a class to wrap a new Save operation to the graph.

create(Scope, Operand<String>, Operand<String>, Operand<String>, Iterable<Operand<?>>) - Static method in class org.tensorflow.op.train.SaveSlices

Factory method to create a class to wrap a new SaveSlices operation to the graph.

create(Scope, Operand<String>, Operand<String>, Operand<String>, List<Class<?>>) - Static method in class org.tensorflow.op.train.Restore

Factory method to create a class to wrap a new Restore operation to the graph.

create(Scope, Operand<String>, Operand<String>, Operand<String>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.SqlDataset

Factory method to create a class to wrap a new SqlDataset operation to the graph.

create(Scope, Operand<String>, Operand<String>, Operand<String>, Rpc.Options...) - Static method in class org.tensorflow.op.core.Rpc

Factory method to create a class to wrap a new Rpc operation to the graph.

create(Scope, Operand<String>, Operand<String>, Operand<String>, TryRpc.Options...) - Static method in class org.tensorflow.op.core.TryRpc

Factory method to create a class to wrap a new TryRpc operation to the graph.

create(Scope, Operand<String>, Operand<String>, Operand<String>, RegexReplace.Options...) - Static method in class org.tensorflow.op.strings.RegexReplace

Factory method to create a class to wrap a new RegexReplace operation to the graph.

create(Scope, Operand<String>, Operand<String>, Operand<T>, Long) - Static method in class org.tensorflow.op.core.BarrierInsertMany

Factory method to create a class to wrap a new BarrierInsertMany operation to the graph.

create(Scope, Operand<String>, Operand<T>) - Static method in class org.tensorflow.op.summary.HistogramSummary

Factory method to create a class to wrap a new HistogramSummary operation to the graph.

create(Scope, Operand<String>, Operand<T>) - Static method in class org.tensorflow.op.summary.ScalarSummary

Factory method to create a class to wrap a new ScalarSummary operation to the graph.

create(Scope, Operand<String>, Operand<T>, ImageSummary.Options...) - Static method in class org.tensorflow.op.summary.ImageSummary

Factory method to create a class to wrap a new ImageSummary operation to the graph.

create(Scope, Operand<String>, Operand<T>, Operand<Float>) - Static method in class org.tensorflow.op.core.TensorArrayUnpack

Factory method to create a class to wrap a new TensorArrayUnpack operation to the graph.

create(Scope, Operand<String>, Operand<T>, Operand<String>) - Static method in class org.tensorflow.op.summary.TensorSummary

Factory method to create a class to wrap a new TensorSummary operation to the graph.

create(Scope, Operand<String>, Operand<T>, Operand<T>, Substr.Options...) - Static method in class org.tensorflow.op.strings.Substr

Factory method to create a class to wrap a new Substr operation to the graph.

create(Scope, Operand<UInt8>, EncodeJpeg.Options...) - Static method in class org.tensorflow.op.image.EncodeJpeg

Factory method to create a class to wrap a new EncodeJpeg operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.bitwise.Invert

Factory method to create a class to wrap a new Invert operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.DebugGradientIdentity

Factory method to create a class to wrap a new DebugGradientIdentity operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.DebugGradientRefIdentity

Factory method to create a class to wrap a new DebugGradientRefIdentity operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.DeepCopy

Factory method to create a class to wrap a new DeepCopy operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Exit

Factory method to create a class to wrap a new Exit operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.GetSessionHandle

Factory method to create a class to wrap a new GetSessionHandle operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.GuaranteeConst

Factory method to create a class to wrap a new GuaranteeConst operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Identity

Factory method to create a class to wrap a new Identity operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.IsVariableInitialized

Factory method to create a class to wrap a new IsVariableInitialized operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Merge

Factory method to create a class to wrap a new Merge operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.NextIteration

Factory method to create a class to wrap a new NextIteration operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.OnesLike

Factory method to create a class to wrap a new OnesLike operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Rank

Factory method to create a class to wrap a new Rank operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.RefExit

Factory method to create a class to wrap a new RefExit operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.RefIdentity

Factory method to create a class to wrap a new RefIdentity operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.RefMerge

Factory method to create a class to wrap a new RefMerge operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.RefNextIteration

Factory method to create a class to wrap a new RefNextIteration operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Shape

Factory method to create a class to wrap a new Shape operation to the graph, using default output types.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.ShapeN

Factory method to create a class to wrap a new ShapeN operation to the graph, using default output types.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Size

Factory method to create a class to wrap a new Size operation to the graph, using default output types.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Snapshot

Factory method to create a class to wrap a new Snapshot operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.StopGradient

Factory method to create a class to wrap a new StopGradient operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Where

Factory method to create a class to wrap a new Where operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.ZerosLike

Factory method to create a class to wrap a new ZerosLike operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.image.HsvToRgb

Factory method to create a class to wrap a new HsvToRgb operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.image.RgbToHsv

Factory method to create a class to wrap a new RgbToHsv operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.io.SerializeTensor

Factory method to create a class to wrap a new SerializeTensor operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.BatchCholesky

Factory method to create a class to wrap a new BatchCholesky operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.BatchMatrixDeterminant

Factory method to create a class to wrap a new BatchMatrixDeterminant operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.BatchMatrixDiag

Factory method to create a class to wrap a new BatchMatrixDiag operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.BatchMatrixDiagPart

Factory method to create a class to wrap a new BatchMatrixDiagPart operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.Cholesky

Factory method to create a class to wrap a new Cholesky operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.Det

Factory method to create a class to wrap a new Det operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.Diag

Factory method to create a class to wrap a new Diag operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.DiagPart

Factory method to create a class to wrap a new DiagPart operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.LogMatrixDeterminant

Factory method to create a class to wrap a new LogMatrixDeterminant operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.MatrixLogarithm

Factory method to create a class to wrap a new MatrixLogarithm operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.Sqrtm

Factory method to create a class to wrap a new Sqrtm operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.TensorDiag

Factory method to create a class to wrap a new TensorDiag operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.TensorDiagPart

Factory method to create a class to wrap a new TensorDiagPart operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Abs

Factory method to create a class to wrap a new Abs operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Acos

Factory method to create a class to wrap a new Acos operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Acosh

Factory method to create a class to wrap a new Acosh operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.AddN

Factory method to create a class to wrap a new AddN operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Angle

Factory method to create a class to wrap a new Angle operation to the graph, using default output types.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Asin

Factory method to create a class to wrap a new Asin operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Asinh

Factory method to create a class to wrap a new Asinh operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Atan

Factory method to create a class to wrap a new Atan operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Atanh

Factory method to create a class to wrap a new Atanh operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.BesselI0e

Factory method to create a class to wrap a new BesselI0e operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.BesselI1e

Factory method to create a class to wrap a new BesselI1e operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Ceil

Factory method to create a class to wrap a new Ceil operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.ComplexAbs

Factory method to create a class to wrap a new ComplexAbs operation to the graph, using default output types.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Conj

Factory method to create a class to wrap a new Conj operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Cos

Factory method to create a class to wrap a new Cos operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Cosh

Factory method to create a class to wrap a new Cosh operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Digamma

Factory method to create a class to wrap a new Digamma operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Erf

Factory method to create a class to wrap a new Erf operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Erfc

Factory method to create a class to wrap a new Erfc operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Exp

Factory method to create a class to wrap a new Exp operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Expm1

Factory method to create a class to wrap a new Expm1 operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Floor

Factory method to create a class to wrap a new Floor operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Imag

Factory method to create a class to wrap a new Imag operation to the graph, using default output types.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.InvertPermutation

Factory method to create a class to wrap a new InvertPermutation operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.IsFinite

Factory method to create a class to wrap a new IsFinite operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.IsInf

Factory method to create a class to wrap a new IsInf operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.IsNan

Factory method to create a class to wrap a new IsNan operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Lgamma

Factory method to create a class to wrap a new Lgamma operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Log

Factory method to create a class to wrap a new Log operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Log1p

Factory method to create a class to wrap a new Log1p operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Neg

Factory method to create a class to wrap a new Neg operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.PopulationCount

Factory method to create a class to wrap a new PopulationCount operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Real

Factory method to create a class to wrap a new Real operation to the graph, using default output types.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Reciprocal

Factory method to create a class to wrap a new Reciprocal operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Rint

Factory method to create a class to wrap a new Rint operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Round

Factory method to create a class to wrap a new Round operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Rsqrt

Factory method to create a class to wrap a new Rsqrt operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Sigmoid

Factory method to create a class to wrap a new Sigmoid operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Sign

Factory method to create a class to wrap a new Sign operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Sin

Factory method to create a class to wrap a new Sin operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Sinh

Factory method to create a class to wrap a new Sinh operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Softplus

Factory method to create a class to wrap a new Softplus operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Sqrt

Factory method to create a class to wrap a new Sqrt operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Square

Factory method to create a class to wrap a new Square operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Tan

Factory method to create a class to wrap a new Tan operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Tanh

Factory method to create a class to wrap a new Tanh operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.Elu

Factory method to create a class to wrap a new Elu operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.L2Loss

Factory method to create a class to wrap a new L2Loss operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.LogSoftmax

Factory method to create a class to wrap a new LogSoftmax operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.Relu

Factory method to create a class to wrap a new Relu operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.Relu6

Factory method to create a class to wrap a new Relu6 operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.Selu

Factory method to create a class to wrap a new Selu operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.Softmax

Factory method to create a class to wrap a new Softmax operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.Softsign

Factory method to create a class to wrap a new Softsign operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.signal.Fft

Factory method to create a class to wrap a new Fft operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.signal.Fft2d

Factory method to create a class to wrap a new Fft2d operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.signal.Fft3d

Factory method to create a class to wrap a new Fft3d operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.signal.Ifft

Factory method to create a class to wrap a new Ifft operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.signal.Ifft2d

Factory method to create a class to wrap a new Ifft2d operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.signal.Ifft3d

Factory method to create a class to wrap a new Ifft3d operation to the graph.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.Bitcast

Factory method to create a class to wrap a new Bitcast operation to the graph.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.Shape

Factory method to create a class to wrap a new Shape operation to the graph.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.ShapeN

Factory method to create a class to wrap a new ShapeN operation to the graph.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.Size

Factory method to create a class to wrap a new Size operation to the graph.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.math.Angle

Factory method to create a class to wrap a new Angle operation to the graph.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.math.ComplexAbs

Factory method to create a class to wrap a new ComplexAbs operation to the graph.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.math.Imag

Factory method to create a class to wrap a new Imag operation to the graph.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.math.Real

Factory method to create a class to wrap a new Real operation to the graph.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.sparse.DeserializeSparse

Factory method to create a class to wrap a new DeserializeSparse operation to the graph.

create(Scope, Operand<T>, Class<U>, Cast.Options...) - Static method in class org.tensorflow.op.dtypes.Cast

Factory method to create a class to wrap a new Cast operation to the graph.

create(Scope, Operand<T>, Class<U>, RandomStandardNormal.Options...) - Static method in class org.tensorflow.op.random.RandomStandardNormal

Factory method to create a class to wrap a new RandomStandardNormal operation to the graph.

create(Scope, Operand<T>, Class<U>, RandomUniform.Options...) - Static method in class org.tensorflow.op.random.RandomUniform

Factory method to create a class to wrap a new RandomUniform operation to the graph.

create(Scope, Operand<T>, Class<U>, TruncatedNormal.Options...) - Static method in class org.tensorflow.op.random.TruncatedNormal

Factory method to create a class to wrap a new TruncatedNormal operation to the graph.

create(Scope, Operand<T>, Long) - Static method in class org.tensorflow.op.core.CountUpTo

Factory method to create a class to wrap a new CountUpTo operation to the graph.

create(Scope, Operand<T>, Long, Long, Long, String, String, List<Long>) - Static method in class org.tensorflow.op.collective.AllReduce

Factory method to create a class to wrap a new AllReduce operation to the graph.

create(Scope, Operand<T>, Long, Long, Long, Shape) - Static method in class org.tensorflow.op.collective.BroadcastSend

Factory method to create a class to wrap a new BroadcastSend operation to the graph.

create(Scope, Operand<T>, Long, Unstack.Options...) - Static method in class org.tensorflow.op.core.Unstack

Factory method to create a class to wrap a new Unstack operation to the graph.

create(Scope, Operand<T>, Long, DepthToSpace.Options...) - Static method in class org.tensorflow.op.nn.DepthToSpace

Factory method to create a class to wrap a new DepthToSpace operation to the graph.

create(Scope, Operand<T>, Long, SpaceToDepth.Options...) - Static method in class org.tensorflow.op.nn.SpaceToDepth

Factory method to create a class to wrap a new SpaceToDepth operation to the graph.

create(Scope, Operand<T>, String) - Static method in class org.tensorflow.op.core.DestroyTemporaryVariable

Factory method to create a class to wrap a new DestroyTemporaryVariable operation to the graph.

create(Scope, Operand<T>, String) - Static method in class org.tensorflow.op.core.NcclReduce

Factory method to create a class to wrap a new NcclReduce operation to the graph.

create(Scope, Operand<T>, String) - Static method in class org.tensorflow.op.math.CheckNumerics

Factory method to create a class to wrap a new CheckNumerics operation to the graph.

create(Scope, Operand<T>, String, Long, String) - Static method in class org.tensorflow.op.core.NcclAllReduce

Factory method to create a class to wrap a new NcclAllReduce operation to the graph.

create(Scope, Operand<T>, String, Enter.Options...) - Static method in class org.tensorflow.op.core.Enter

Factory method to create a class to wrap a new Enter operation to the graph.

create(Scope, Operand<T>, String, RefEnter.Options...) - Static method in class org.tensorflow.op.core.RefEnter

Factory method to create a class to wrap a new RefEnter operation to the graph.

create(Scope, Operand<T>, List<Float>) - Static method in class org.tensorflow.op.core.Bucketize

Factory method to create a class to wrap a new Bucketize operation to the graph.

create(Scope, Operand<T>, List<Float>, FractionalAvgPool.Options...) - Static method in class org.tensorflow.op.nn.FractionalAvgPool

Factory method to create a class to wrap a new FractionalAvgPool operation to the graph.

create(Scope, Operand<T>, List<Float>, FractionalMaxPool.Options...) - Static method in class org.tensorflow.op.nn.FractionalMaxPool

Factory method to create a class to wrap a new FractionalMaxPool operation to the graph.

create(Scope, Operand<T>, List<Long>, List<Long>, Class<U>, String) - Static method in class org.tensorflow.op.nn.MaxPoolWithArgmax

Factory method to create a class to wrap a new MaxPoolWithArgmax operation to the graph.

create(Scope, Operand<T>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.core.ExtractVolumePatches

Factory method to create a class to wrap a new ExtractVolumePatches operation to the graph.

create(Scope, Operand<T>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.nn.MaxPoolWithArgmax

Factory method to create a class to wrap a new MaxPoolWithArgmax operation to the graph, using default output types.

create(Scope, Operand<T>, List<Long>, List<Long>, String, AvgPool.Options...) - Static method in class org.tensorflow.op.nn.AvgPool

Factory method to create a class to wrap a new AvgPool operation to the graph.

create(Scope, Operand<T>, List<Long>, List<Long>, String, AvgPool3d.Options...) - Static method in class org.tensorflow.op.nn.AvgPool3d

Factory method to create a class to wrap a new AvgPool3d operation to the graph.

create(Scope, Operand<T>, List<Long>, List<Long>, String, MaxPool3d.Options...) - Static method in class org.tensorflow.op.nn.MaxPool3d

Factory method to create a class to wrap a new MaxPool3d operation to the graph.

create(Scope, Operand<T>, List<Long>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.image.ExtractImagePatches

Factory method to create a class to wrap a new ExtractImagePatches operation to the graph.

create(Scope, Operand<T>, Squeeze.Options...) - Static method in class org.tensorflow.op.core.Squeeze

Factory method to create a class to wrap a new Squeeze operation to the graph.

create(Scope, Operand<T>, Stack.Options...) - Static method in class org.tensorflow.op.core.Stack

Factory method to create a class to wrap a new Stack operation to the graph.

create(Scope, Operand<T>, AsString.Options...) - Static method in class org.tensorflow.op.dtypes.AsString

Factory method to create a class to wrap a new AsString operation to the graph.

create(Scope, Operand<T>, EncodePng.Options...) - Static method in class org.tensorflow.op.image.EncodePng

Factory method to create a class to wrap a new EncodePng operation to the graph.

create(Scope, Operand<T>, BatchMatrixInverse.Options...) - Static method in class org.tensorflow.op.linalg.BatchMatrixInverse

Factory method to create a class to wrap a new BatchMatrixInverse operation to the graph.

create(Scope, Operand<T>, BatchSelfAdjointEig.Options...) - Static method in class org.tensorflow.op.linalg.BatchSelfAdjointEig

Factory method to create a class to wrap a new BatchSelfAdjointEig operation to the graph.

create(Scope, Operand<T>, BatchSvd.Options...) - Static method in class org.tensorflow.op.linalg.BatchSvd

Factory method to create a class to wrap a new BatchSvd operation to the graph.

create(Scope, Operand<T>, Inv.Options...) - Static method in class org.tensorflow.op.linalg.Inv

Factory method to create a class to wrap a new Inv operation to the graph.

create(Scope, Operand<T>, Qr.Options...) - Static method in class org.tensorflow.op.linalg.Qr

Factory method to create a class to wrap a new Qr operation to the graph.

create(Scope, Operand<T>, SelfAdjointEig.Options...) - Static method in class org.tensorflow.op.linalg.SelfAdjointEig

Factory method to create a class to wrap a new SelfAdjointEig operation to the graph.

create(Scope, Operand<T>, Svd.Options...) - Static method in class org.tensorflow.op.linalg.Svd

Factory method to create a class to wrap a new Svd operation to the graph.

create(Scope, Operand<T>, BiasAddGrad.Options...) - Static method in class org.tensorflow.op.nn.BiasAddGrad

Factory method to create a class to wrap a new BiasAddGrad operation to the graph.

create(Scope, Operand<T>, DataFormatDimMap.Options...) - Static method in class org.tensorflow.op.nn.DataFormatDimMap

Factory method to create a class to wrap a new DataFormatDimMap operation to the graph.

create(Scope, Operand<T>, DataFormatVecPermute.Options...) - Static method in class org.tensorflow.op.nn.DataFormatVecPermute

Factory method to create a class to wrap a new DataFormatVecPermute operation to the graph.

create(Scope, Operand<T>, LeakyRelu.Options...) - Static method in class org.tensorflow.op.nn.LeakyRelu

Factory method to create a class to wrap a new LeakyRelu operation to the graph.

create(Scope, Operand<T>, LocalResponseNormalization.Options...) - Static method in class org.tensorflow.op.nn.LocalResponseNormalization

Factory method to create a class to wrap a new LocalResponseNormalization operation to the graph.

create(Scope, Operand<T>, RandomShuffle.Options...) - Static method in class org.tensorflow.op.random.RandomShuffle

Factory method to create a class to wrap a new RandomShuffle operation to the graph.

create(Scope, Operand<T>, PreventGradient.Options...) - Static method in class org.tensorflow.op.train.PreventGradient

Factory method to create a class to wrap a new PreventGradient operation to the graph.

create(Scope, Operand<T>, Operand<Boolean>) - Static method in class org.tensorflow.op.core.RefSwitch

Factory method to create a class to wrap a new RefSwitch operation to the graph.

create(Scope, Operand<T>, Operand<Boolean>) - Static method in class org.tensorflow.op.core.SwitchCond

Factory method to create a class to wrap a new SwitchCond operation to the graph.

create(Scope, Operand<T>, Operand<Float>) - Static method in class org.tensorflow.op.image.DrawBoundingBoxes

Factory method to create a class to wrap a new DrawBoundingBoxes operation to the graph.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>) - Static method in class org.tensorflow.op.quantization.RequantizationRange

Factory method to create a class to wrap a new RequantizationRange operation to the graph.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>, Class<U>) - Static method in class org.tensorflow.op.nn.QuantizedRelu

Factory method to create a class to wrap a new QuantizedRelu operation to the graph.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>, Class<U>) - Static method in class org.tensorflow.op.nn.QuantizedRelu6

Factory method to create a class to wrap a new QuantizedRelu6 operation to the graph.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>, Class<U>) - Static method in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange

Factory method to create a class to wrap a new QuantizeDownAndShrinkRange operation to the graph.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.nn.QuantizedAvgPool

Factory method to create a class to wrap a new QuantizedAvgPool operation to the graph.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.nn.QuantizedMaxPool

Factory method to create a class to wrap a new QuantizedMaxPool operation to the graph.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>, SampleDistortedBoundingBox.Options...) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox

Factory method to create a class to wrap a new SampleDistortedBoundingBox operation to the graph.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>, QuantizedInstanceNorm.Options...) - Static method in class org.tensorflow.op.nn.QuantizedInstanceNorm

Factory method to create a class to wrap a new QuantizedInstanceNorm operation to the graph.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>, Dequantize.Options...) - Static method in class org.tensorflow.op.quantization.Dequantize

Factory method to create a class to wrap a new Dequantize operation to the graph.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>, Operand<Float>, Class<U>) - Static method in class org.tensorflow.op.nn.QuantizedReluX

Factory method to create a class to wrap a new QuantizedReluX operation to the graph.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<U>) - Static method in class org.tensorflow.op.quantization.Requantize

Factory method to create a class to wrap a new Requantize operation to the graph.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>, Operand<T>, Operand<Float>, Operand<Float>, Operand<T>, Operand<Float>, Operand<Float>, Operand<T>, Operand<Float>, Operand<Float>, Operand<T>, Operand<Float>, Operand<Float>, Class<U>, Float, Boolean) - Static method in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization

Factory method to create a class to wrap a new QuantizedBatchNormWithGlobalNormalization operation to the graph.

create(Scope, Operand<T>, Operand<Float>, Operand<Integer>, Operand<Integer>, CropAndResize.Options...) - Static method in class org.tensorflow.op.image.CropAndResize

Factory method to create a class to wrap a new CropAndResize operation to the graph.

create(Scope, Operand<T>, Operand<Integer>) - Static method in class org.tensorflow.op.train.TileGrad

Factory method to create a class to wrap a new TileGrad operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Class<U>) - Static method in class org.tensorflow.op.core.EmptyTensorList

Factory method to create a class to wrap a new EmptyTensorList operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Class<U>) - Static method in class org.tensorflow.op.core.TensorListReserve

Factory method to create a class to wrap a new TensorListReserve operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Class<U>, Multinomial.Options...) - Static method in class org.tensorflow.op.random.Multinomial

Factory method to create a class to wrap a new Multinomial operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Long) - Static method in class org.tensorflow.op.core.DynamicPartition

Factory method to create a class to wrap a new DynamicPartition operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, ResizeArea.Options...) - Static method in class org.tensorflow.op.image.ResizeArea

Factory method to create a class to wrap a new ResizeArea operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, ResizeBicubic.Options...) - Static method in class org.tensorflow.op.image.ResizeBicubic

Factory method to create a class to wrap a new ResizeBicubic operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, ResizeBilinear.Options...) - Static method in class org.tensorflow.op.image.ResizeBilinear

Factory method to create a class to wrap a new ResizeBilinear operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, ResizeNearestNeighbor.Options...) - Static method in class org.tensorflow.op.image.ResizeNearestNeighbor

Factory method to create a class to wrap a new ResizeNearestNeighbor operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, ResizeNearestNeighborGrad.Options...) - Static method in class org.tensorflow.op.image.ResizeNearestNeighborGrad

Factory method to create a class to wrap a new ResizeNearestNeighborGrad operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, NthElement.Options...) - Static method in class org.tensorflow.op.nn.NthElement

Factory method to create a class to wrap a new NthElement operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, TopK.Options...) - Static method in class org.tensorflow.op.nn.TopK

Factory method to create a class to wrap a new TopK operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Multinomial.Options...) - Static method in class org.tensorflow.op.random.Multinomial

Factory method to create a class to wrap a new Multinomial operation to the graph, using default output types.

create(Scope, Operand<T>, Operand<Integer>, Operand<Float>, Operand<Float>, QuantizedResizeBilinear.Options...) - Static method in class org.tensorflow.op.image.QuantizedResizeBilinear

Factory method to create a class to wrap a new QuantizedResizeBilinear operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Operand<Integer>, String, MaxPool.Options...) - Static method in class org.tensorflow.op.nn.MaxPool

Factory method to create a class to wrap a new MaxPool operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Operand<Integer>, Operand<T>, String, List<Long>, String, FusedResizeAndPadConv2d.Options...) - Static method in class org.tensorflow.op.nn.FusedResizeAndPadConv2d

Factory method to create a class to wrap a new FusedResizeAndPadConv2d operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Operand<T>) - Static method in class org.tensorflow.op.core.InplaceAdd

Factory method to create a class to wrap a new InplaceAdd operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Operand<T>) - Static method in class org.tensorflow.op.core.InplaceSub

Factory method to create a class to wrap a new InplaceSub operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Operand<T>) - Static method in class org.tensorflow.op.core.InplaceUpdate

Factory method to create a class to wrap a new InplaceUpdate operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Operand<T>, String, List<Long>, String) - Static method in class org.tensorflow.op.nn.FusedPadConv2d

Factory method to create a class to wrap a new FusedPadConv2d operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Operand<T>, List<Long>, String, Conv2dBackpropFilter.Options...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilter

Factory method to create a class to wrap a new Conv2dBackpropFilter operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Operand<T>, List<Long>, String, Conv3dBackpropFilter.Options...) - Static method in class org.tensorflow.op.nn.Conv3dBackpropFilter

Factory method to create a class to wrap a new Conv3dBackpropFilter operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Operand<T>, List<Long>, String, DepthwiseConv2dNativeBackpropFilter.Options...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter

Factory method to create a class to wrap a new DepthwiseConv2dNativeBackpropFilter operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Operand<U>) - Static method in class org.tensorflow.op.core.TensorListScatter

Factory method to create a class to wrap a new TensorListScatter operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Operand<U>) - Static method in class org.tensorflow.op.random.StatelessMultinomial

Factory method to create a class to wrap a new StatelessMultinomial operation to the graph, using default output types.

create(Scope, Operand<T>, Operand<Integer>, Operand<U>, Class<V>) - Static method in class org.tensorflow.op.random.StatelessMultinomial

Factory method to create a class to wrap a new StatelessMultinomial operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Operand<U>, Operand<U>, OneHot.Options...) - Static method in class org.tensorflow.op.core.OneHot

Factory method to create a class to wrap a new OneHot operation to the graph.

create(Scope, Operand<T>, Operand<Long>, RandomCrop.Options...) - Static method in class org.tensorflow.op.image.RandomCrop

Factory method to create a class to wrap a new RandomCrop operation to the graph.

create(Scope, Operand<T>, Operand<Long>, Operand<Long>) - Static method in class org.tensorflow.op.linalg.BatchMatrixBandPart

Factory method to create a class to wrap a new BatchMatrixBandPart operation to the graph.

create(Scope, Operand<T>, Operand<Long>, Operand<Long>, Long, Unbatch.Options...) - Static method in class org.tensorflow.op.core.Unbatch

Factory method to create a class to wrap a new Unbatch operation to the graph.

create(Scope, Operand<T>, Operand<Long>, Operand<Long>, Operand<Long>) - Static method in class org.tensorflow.op.sparse.SparseAddGrad

Factory method to create a class to wrap a new SparseAddGrad operation to the graph.

create(Scope, Operand<T>, Operand<Long>, Operand<Long>, Operand<Long>) - Static method in class org.tensorflow.op.sparse.SparseSliceGrad

Factory method to create a class to wrap a new SparseSliceGrad operation to the graph.

create(Scope, Operand<T>, Operand<Long>, Operand<T>, Operand<Long>, String, DenseToSparseSetOperation.Options...) - Static method in class org.tensorflow.op.sparse.DenseToSparseSetOperation

Factory method to create a class to wrap a new DenseToSparseSetOperation operation to the graph.

create(Scope, Operand<T>, Operand<Long>, Operand<T>, Operand<Long>, UnbatchGrad.Options...) - Static method in class org.tensorflow.op.core.UnbatchGrad

Factory method to create a class to wrap a new UnbatchGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.bitwise.BitwiseAnd

Factory method to create a class to wrap a new BitwiseAnd operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.bitwise.BitwiseOr

Factory method to create a class to wrap a new BitwiseOr operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.bitwise.BitwiseXor

Factory method to create a class to wrap a new BitwiseXor operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.bitwise.LeftShift

Factory method to create a class to wrap a new LeftShift operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.bitwise.RightShift

Factory method to create a class to wrap a new RightShift operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.BroadcastDynamicShape

Factory method to create a class to wrap a new BroadcastDynamicShape operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.BroadcastGradientArgs

Factory method to create a class to wrap a new BroadcastGradientArgs operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.LowerBound

Factory method to create a class to wrap a new LowerBound operation to the graph, using default output types.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.SetDiff1d

Factory method to create a class to wrap a new SetDiff1d operation to the graph, using default output types.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.UnravelIndex

Factory method to create a class to wrap a new UnravelIndex operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.UpperBound

Factory method to create a class to wrap a new UpperBound operation to the graph, using default output types.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.linalg.BatchCholeskyGrad

Factory method to create a class to wrap a new BatchCholeskyGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.linalg.BatchMatrixSetDiag

Factory method to create a class to wrap a new BatchMatrixSetDiag operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.linalg.CholeskyGrad

Factory method to create a class to wrap a new CholeskyGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.linalg.Cross

Factory method to create a class to wrap a new Cross operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.linalg.SetDiag

Factory method to create a class to wrap a new SetDiag operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Add

Factory method to create a class to wrap a new Add operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Atan2

Factory method to create a class to wrap a new Atan2 operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.CompareAndBitpack

Factory method to create a class to wrap a new CompareAndBitpack operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Div

Factory method to create a class to wrap a new Div operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.DivNoNan

Factory method to create a class to wrap a new DivNoNan operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Equal

Factory method to create a class to wrap a new Equal operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.FloorDiv

Factory method to create a class to wrap a new FloorDiv operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.FloorMod

Factory method to create a class to wrap a new FloorMod operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Greater

Factory method to create a class to wrap a new Greater operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.GreaterEqual

Factory method to create a class to wrap a new GreaterEqual operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Igamma

Factory method to create a class to wrap a new Igamma operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Igammac

Factory method to create a class to wrap a new Igammac operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.IgammaGradA

Factory method to create a class to wrap a new IgammaGradA operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Less

Factory method to create a class to wrap a new Less operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.LessEqual

Factory method to create a class to wrap a new LessEqual operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Maximum

Factory method to create a class to wrap a new Maximum operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Minimum

Factory method to create a class to wrap a new Minimum operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Mod

Factory method to create a class to wrap a new Mod operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Mul

Factory method to create a class to wrap a new Mul operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.NotEqual

Factory method to create a class to wrap a new NotEqual operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Polygamma

Factory method to create a class to wrap a new Polygamma operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Pow

Factory method to create a class to wrap a new Pow operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.RealDiv

Factory method to create a class to wrap a new RealDiv operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.ReciprocalGrad

Factory method to create a class to wrap a new ReciprocalGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.RsqrtGrad

Factory method to create a class to wrap a new RsqrtGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.SigmoidGrad

Factory method to create a class to wrap a new SigmoidGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.SoftplusGrad

Factory method to create a class to wrap a new SoftplusGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.SqrtGrad

Factory method to create a class to wrap a new SqrtGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.SquaredDifference

Factory method to create a class to wrap a new SquaredDifference operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Sub

Factory method to create a class to wrap a new Sub operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.TanhGrad

Factory method to create a class to wrap a new TanhGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.TruncateDiv

Factory method to create a class to wrap a new TruncateDiv operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.TruncateMod

Factory method to create a class to wrap a new TruncateMod operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Xdivy

Factory method to create a class to wrap a new Xdivy operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Xlogy

Factory method to create a class to wrap a new Xlogy operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Zeta

Factory method to create a class to wrap a new Zeta operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.EluGrad

Factory method to create a class to wrap a new EluGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.InvGrad

Factory method to create a class to wrap a new InvGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.Relu6Grad

Factory method to create a class to wrap a new Relu6Grad operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.ReluGrad

Factory method to create a class to wrap a new ReluGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.SeluGrad

Factory method to create a class to wrap a new SeluGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits

Factory method to create a class to wrap a new SoftmaxCrossEntropyWithLogits operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.SoftsignGrad

Factory method to create a class to wrap a new SoftsignGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.random.RandomGammaGrad

Factory method to create a class to wrap a new RandomGammaGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.LowerBound

Factory method to create a class to wrap a new LowerBound operation to the graph.

create(Scope, Operand<T>, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.SetDiff1d

Factory method to create a class to wrap a new SetDiff1d operation to the graph.

create(Scope, Operand<T>, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.UpperBound

Factory method to create a class to wrap a new UpperBound operation to the graph.

create(Scope, Operand<T>, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.dtypes.Complex

Factory method to create a class to wrap a new Complex operation to the graph.

create(Scope, Operand<T>, Operand<T>, Class<U>, MutableDenseHashTable.Options...) - Static method in class org.tensorflow.op.core.MutableDenseHashTable

Factory method to create a class to wrap a new MutableDenseHashTable operation to the graph.

create(Scope, Operand<T>, Operand<T>, String, DenseToDenseSetOperation.Options...) - Static method in class org.tensorflow.op.sparse.DenseToDenseSetOperation

Factory method to create a class to wrap a new DenseToDenseSetOperation operation to the graph.

create(Scope, Operand<T>, Operand<T>, List<Long>, String, Conv2d.Options...) - Static method in class org.tensorflow.op.nn.Conv2d

Factory method to create a class to wrap a new Conv2d operation to the graph.

create(Scope, Operand<T>, Operand<T>, List<Long>, String, Conv3d.Options...) - Static method in class org.tensorflow.op.nn.Conv3d

Factory method to create a class to wrap a new Conv3d operation to the graph.

create(Scope, Operand<T>, Operand<T>, List<Long>, String, DepthwiseConv2dNative.Options...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNative

Factory method to create a class to wrap a new DepthwiseConv2dNative operation to the graph.

create(Scope, Operand<T>, Operand<T>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.nn.Dilation2d

Factory method to create a class to wrap a new Dilation2d operation to the graph.

create(Scope, Operand<T>, Operand<T>, Assign.Options...) - Static method in class org.tensorflow.op.core.Assign

Factory method to create a class to wrap a new Assign operation to the graph.

create(Scope, Operand<T>, Operand<T>, AssignAdd.Options...) - Static method in class org.tensorflow.op.core.AssignAdd

Factory method to create a class to wrap a new AssignAdd operation to the graph.

create(Scope, Operand<T>, Operand<T>, AssignSub.Options...) - Static method in class org.tensorflow.op.core.AssignSub

Factory method to create a class to wrap a new AssignSub operation to the graph.

create(Scope, Operand<T>, Operand<T>, LeakyReluGrad.Options...) - Static method in class org.tensorflow.op.data.LeakyReluGrad

Factory method to create a class to wrap a new LeakyReluGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>, BatchMatMul.Options...) - Static method in class org.tensorflow.op.linalg.BatchMatMul

Factory method to create a class to wrap a new BatchMatMul operation to the graph.

create(Scope, Operand<T>, Operand<T>, BatchMatrixSolve.Options...) - Static method in class org.tensorflow.op.linalg.BatchMatrixSolve

Factory method to create a class to wrap a new BatchMatrixSolve operation to the graph.

create(Scope, Operand<T>, Operand<T>, BatchMatrixTriangularSolve.Options...) - Static method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve

Factory method to create a class to wrap a new BatchMatrixTriangularSolve operation to the graph.

create(Scope, Operand<T>, Operand<T>, MatMul.Options...) - Static method in class org.tensorflow.op.linalg.MatMul

Factory method to create a class to wrap a new MatMul operation to the graph.

create(Scope, Operand<T>, Operand<T>, Solve.Options...) - Static method in class org.tensorflow.op.linalg.Solve

Factory method to create a class to wrap a new Solve operation to the graph.

create(Scope, Operand<T>, Operand<T>, TriangularSolve.Options...) - Static method in class org.tensorflow.op.linalg.TriangularSolve

Factory method to create a class to wrap a new TriangularSolve operation to the graph.

create(Scope, Operand<T>, Operand<T>, ApproximateEqual.Options...) - Static method in class org.tensorflow.op.math.ApproximateEqual

Factory method to create a class to wrap a new ApproximateEqual operation to the graph.

create(Scope, Operand<T>, Operand<T>, BiasAdd.Options...) - Static method in class org.tensorflow.op.nn.BiasAdd

Factory method to create a class to wrap a new BiasAdd operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<Double>, BatchMatrixSolveLs.Options...) - Static method in class org.tensorflow.op.linalg.BatchMatrixSolveLs

Factory method to create a class to wrap a new BatchMatrixSolveLs operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<Double>, MatrixSolveLs.Options...) - Static method in class org.tensorflow.op.linalg.MatrixSolveLs

Factory method to create a class to wrap a new MatrixSolveLs operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<Float>, Operand<U>, Operand<U>, FusedBatchNormGrad.Options...) - Static method in class org.tensorflow.op.nn.FusedBatchNormGrad

Factory method to create a class to wrap a new FusedBatchNormGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<Integer>) - Static method in class org.tensorflow.op.core.HistogramFixedWidth

Factory method to create a class to wrap a new HistogramFixedWidth operation to the graph, using default output types.

create(Scope, Operand<T>, Operand<T>, Operand<Integer>, Class<U>) - Static method in class org.tensorflow.op.core.HistogramFixedWidth

Factory method to create a class to wrap a new HistogramFixedWidth operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<Integer>, Operand<Float>, Operand<Float>, NonMaxSuppression.Options...) - Static method in class org.tensorflow.op.image.NonMaxSuppression

Factory method to create a class to wrap a new NonMaxSuppression operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.ClipByValue

Factory method to create a class to wrap a new ClipByValue operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.RaggedRange

Factory method to create a class to wrap a new RaggedRange operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Range

Factory method to create a class to wrap a new Range operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Betainc

Factory method to create a class to wrap a new Betainc operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.nn.Dilation2dBackpropFilter

Factory method to create a class to wrap a new Dilation2dBackpropFilter operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.nn.Dilation2dBackpropInput

Factory method to create a class to wrap a new Dilation2dBackpropInput operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String, MaxPool3dGradGrad.Options...) - Static method in class org.tensorflow.op.nn.MaxPool3dGradGrad

Factory method to create a class to wrap a new MaxPool3dGradGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, LocalResponseNormalizationGrad.Options...) - Static method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad

Factory method to create a class to wrap a new LocalResponseNormalizationGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, ApplyGradientDescent.Options...) - Static method in class org.tensorflow.op.train.ApplyGradientDescent

Factory method to create a class to wrap a new ApplyGradientDescent operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<Integer>, QuantizeAndDequantize.Options...) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantize

Factory method to create a class to wrap a new QuantizeAndDequantize operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<Integer>, Operand<Integer>, String, MaxPoolGrad.Options...) - Static method in class org.tensorflow.op.nn.MaxPoolGrad

Factory method to create a class to wrap a new MaxPoolGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<Integer>, Operand<Integer>, String, MaxPoolGradGrad.Options...) - Static method in class org.tensorflow.op.nn.MaxPoolGradGrad

Factory method to create a class to wrap a new MaxPoolGradGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<Long>, Operand<Long>, FractionalMaxPoolGrad.Options...) - Static method in class org.tensorflow.op.nn.FractionalMaxPoolGrad

Factory method to create a class to wrap a new FractionalMaxPoolGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, CudnnRnn.Options...) - Static method in class org.tensorflow.op.nn.CudnnRnn

Factory method to create a class to wrap a new CudnnRnn operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdagrad.Options...) - Static method in class org.tensorflow.op.train.ApplyAdagrad

Factory method to create a class to wrap a new ApplyAdagrad operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Float, Boolean) - Static method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization

Factory method to create a class to wrap a new BatchNormWithGlobalNormalization operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Float, Boolean) - Static method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad

Factory method to create a class to wrap a new BatchNormWithGlobalNormalizationGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyMomentum.Options...) - Static method in class org.tensorflow.op.train.ApplyMomentum

Factory method to create a class to wrap a new ApplyMomentum operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyProximalGradientDescent.Options...) - Static method in class org.tensorflow.op.train.ApplyProximalGradientDescent

Factory method to create a class to wrap a new ApplyProximalGradientDescent operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyProximalAdagrad.Options...) - Static method in class org.tensorflow.op.train.ApplyProximalAdagrad

Factory method to create a class to wrap a new ApplyProximalAdagrad operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdadelta.Options...) - Static method in class org.tensorflow.op.train.ApplyAdadelta

Factory method to create a class to wrap a new ApplyAdadelta operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAddSign.Options...) - Static method in class org.tensorflow.op.train.ApplyAddSign

Factory method to create a class to wrap a new ApplyAddSign operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyPowerSign.Options...) - Static method in class org.tensorflow.op.train.ApplyPowerSign

Factory method to create a class to wrap a new ApplyPowerSign operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<Long>, ApplyAdagradDa.Options...) - Static method in class org.tensorflow.op.train.ApplyAdagradDa

Factory method to create a class to wrap a new ApplyAdagradDa operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyRmsProp.Options...) - Static method in class org.tensorflow.op.train.ApplyRmsProp

Factory method to create a class to wrap a new ApplyRmsProp operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdaMax.Options...) - Static method in class org.tensorflow.op.train.ApplyAdaMax

Factory method to create a class to wrap a new ApplyAdaMax operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyCenteredRmsProp.Options...) - Static method in class org.tensorflow.op.train.ApplyCenteredRmsProp

Factory method to create a class to wrap a new ApplyCenteredRmsProp operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyFtrl.Options...) - Static method in class org.tensorflow.op.train.ApplyFtrl

Factory method to create a class to wrap a new ApplyFtrl operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdam.Options...) - Static method in class org.tensorflow.op.train.ApplyAdam

Factory method to create a class to wrap a new ApplyAdam operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<?>, CudnnRnnBackprop.Options...) - Static method in class org.tensorflow.op.nn.CudnnRnnBackprop

Factory method to create a class to wrap a new CudnnRnnBackprop operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, SparseApplyCenteredRmsProp.Options...) - Static method in class org.tensorflow.op.train.SparseApplyCenteredRmsProp

Factory method to create a class to wrap a new SparseApplyCenteredRmsProp operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, SparseApplyRmsProp.Options...) - Static method in class org.tensorflow.op.train.SparseApplyRmsProp

Factory method to create a class to wrap a new SparseApplyRmsProp operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, SparseApplyAdadelta.Options...) - Static method in class org.tensorflow.op.train.SparseApplyAdadelta

Factory method to create a class to wrap a new SparseApplyAdadelta operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, SparseApplyProximalAdagrad.Options...) - Static method in class org.tensorflow.op.train.SparseApplyProximalAdagrad

Factory method to create a class to wrap a new SparseApplyProximalAdagrad operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, SparseApplyProximalGradientDescent.Options...) - Static method in class org.tensorflow.op.train.SparseApplyProximalGradientDescent

Factory method to create a class to wrap a new SparseApplyProximalGradientDescent operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, StridedSliceGrad.Options...) - Static method in class org.tensorflow.op.core.StridedSliceGrad

Factory method to create a class to wrap a new StridedSliceGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, SparseApplyAdagrad.Options...) - Static method in class org.tensorflow.op.train.SparseApplyAdagrad

Factory method to create a class to wrap a new SparseApplyAdagrad operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, Operand<T>, SparseApplyMomentum.Options...) - Static method in class org.tensorflow.op.train.SparseApplyMomentum

Factory method to create a class to wrap a new SparseApplyMomentum operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, Operand<T>, Operand<T>, Operand<T>, Operand<Long>, SparseApplyAdagradDa.Options...) - Static method in class org.tensorflow.op.train.SparseApplyAdagradDa

Factory method to create a class to wrap a new SparseApplyAdagradDa operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, SparseApplyFtrl.Options...) - Static method in class org.tensorflow.op.train.SparseApplyFtrl

Factory method to create a class to wrap a new SparseApplyFtrl operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.LinSpace

Factory method to create a class to wrap a new LinSpace operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<U>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax

Factory method to create a class to wrap a new MaxPoolGradGradWithArgmax operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<U>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.nn.MaxPoolGradWithArgmax

Factory method to create a class to wrap a new MaxPoolGradWithArgmax operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<U>, List<Long>, List<Long>, String, MaxPool3dGrad.Options...) - Static method in class org.tensorflow.op.nn.MaxPool3dGrad

Factory method to create a class to wrap a new MaxPool3dGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<U>, Operand<U>, SparseToDense.Options...) - Static method in class org.tensorflow.op.sparse.SparseToDense

Factory method to create a class to wrap a new SparseToDense operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.BroadcastTo

Factory method to create a class to wrap a new BroadcastTo operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.Concat

Factory method to create a class to wrap a new Concat operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.ExpandDims

Factory method to create a class to wrap a new ExpandDims operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.Fill

Factory method to create a class to wrap a new Fill operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.GatherNd

Factory method to create a class to wrap a new GatherNd operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.Reshape

Factory method to create a class to wrap a new Reshape operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.Reverse

Factory method to create a class to wrap a new Reverse operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.TensorListFromTensor

Factory method to create a class to wrap a new TensorListFromTensor operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.Tile

Factory method to create a class to wrap a new Tile operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.Unique

Factory method to create a class to wrap a new Unique operation to the graph, using default output types.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.UniqueWithCounts

Factory method to create a class to wrap a new UniqueWithCounts operation to the graph, using default output types.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.linalg.ConjugateTranspose

Factory method to create a class to wrap a new ConjugateTranspose operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.linalg.Transpose

Factory method to create a class to wrap a new Transpose operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.math.ArgMax

Factory method to create a class to wrap a new ArgMax operation to the graph, using default output types.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.math.ArgMin

Factory method to create a class to wrap a new ArgMin operation to the graph, using default output types.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.math.SegmentMax

Factory method to create a class to wrap a new SegmentMax operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.math.SegmentMean

Factory method to create a class to wrap a new SegmentMean operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.math.SegmentMin

Factory method to create a class to wrap a new SegmentMin operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.math.SegmentProd

Factory method to create a class to wrap a new SegmentProd operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.math.SegmentSum

Factory method to create a class to wrap a new SegmentSum operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits

Factory method to create a class to wrap a new SparseSoftmaxCrossEntropyWithLogits operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.random.StatelessRandomNormal

Factory method to create a class to wrap a new StatelessRandomNormal operation to the graph, using default output types.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.random.StatelessRandomUniform

Factory method to create a class to wrap a new StatelessRandomUniform operation to the graph, using default output types.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.random.StatelessTruncatedNormal

Factory method to create a class to wrap a new StatelessTruncatedNormal operation to the graph, using default output types.

create(Scope, Operand<T>, Operand<U>, Class<V>) - Static method in class org.tensorflow.op.core.Unique

Factory method to create a class to wrap a new Unique operation to the graph.

create(Scope, Operand<T>, Operand<U>, Class<V>) - Static method in class org.tensorflow.op.core.UniqueWithCounts

Factory method to create a class to wrap a new UniqueWithCounts operation to the graph.

create(Scope, Operand<T>, Operand<U>, Class<V>) - Static method in class org.tensorflow.op.math.ArgMax

Factory method to create a class to wrap a new ArgMax operation to the graph.

create(Scope, Operand<T>, Operand<U>, Class<V>) - Static method in class org.tensorflow.op.math.ArgMin

Factory method to create a class to wrap a new ArgMin operation to the graph.

create(Scope, Operand<T>, Operand<U>, Class<V>) - Static method in class org.tensorflow.op.random.StatelessRandomNormal

Factory method to create a class to wrap a new StatelessRandomNormal operation to the graph.

create(Scope, Operand<T>, Operand<U>, Class<V>) - Static method in class org.tensorflow.op.random.StatelessRandomUniform

Factory method to create a class to wrap a new StatelessRandomUniform operation to the graph.

create(Scope, Operand<T>, Operand<U>, Class<V>) - Static method in class org.tensorflow.op.random.StatelessTruncatedNormal

Factory method to create a class to wrap a new StatelessTruncatedNormal operation to the graph.

create(Scope, Operand<T>, Operand<U>, Class<V>, RandomPoisson.Options...) - Static method in class org.tensorflow.op.random.RandomPoisson

Factory method to create a class to wrap a new RandomPoisson operation to the graph.

create(Scope, Operand<T>, Operand<U>, Long) - Static method in class org.tensorflow.op.core.BatchToSpace

Factory method to create a class to wrap a new BatchToSpace operation to the graph.

create(Scope, Operand<T>, Operand<U>, Long) - Static method in class org.tensorflow.op.nn.SpaceToBatch

Factory method to create a class to wrap a new SpaceToBatch operation to the graph.

create(Scope, Operand<T>, Operand<U>, Long, ReverseSequence.Options...) - Static method in class org.tensorflow.op.core.ReverseSequence

Factory method to create a class to wrap a new ReverseSequence operation to the graph.

create(Scope, Operand<T>, Operand<U>, String) - Static method in class org.tensorflow.op.core.MirrorPad

Factory method to create a class to wrap a new MirrorPad operation to the graph.

create(Scope, Operand<T>, Operand<U>, String) - Static method in class org.tensorflow.op.core.MirrorPadGrad

Factory method to create a class to wrap a new MirrorPadGrad operation to the graph.

create(Scope, Operand<T>, Operand<U>, Max.Options...) - Static method in class org.tensorflow.op.core.Max

Factory method to create a class to wrap a new Max operation to the graph.

create(Scope, Operand<T>, Operand<U>, Min.Options...) - Static method in class org.tensorflow.op.core.Min

Factory method to create a class to wrap a new Min operation to the graph.

create(Scope, Operand<T>, Operand<U>, Prod.Options...) - Static method in class org.tensorflow.op.core.Prod

Factory method to create a class to wrap a new Prod operation to the graph.

create(Scope, Operand<T>, Operand<U>, ReduceMax.Options...) - Static method in class org.tensorflow.op.core.ReduceMax

Factory method to create a class to wrap a new ReduceMax operation to the graph.

create(Scope, Operand<T>, Operand<U>, ReduceMin.Options...) - Static method in class org.tensorflow.op.core.ReduceMin

Factory method to create a class to wrap a new ReduceMin operation to the graph.

create(Scope, Operand<T>, Operand<U>, ReduceProd.Options...) - Static method in class org.tensorflow.op.core.ReduceProd

Factory method to create a class to wrap a new ReduceProd operation to the graph.

create(Scope, Operand<T>, Operand<U>, ReduceSum.Options...) - Static method in class org.tensorflow.op.core.ReduceSum

Factory method to create a class to wrap a new ReduceSum operation to the graph.

create(Scope, Operand<T>, Operand<U>, Sum.Options...) - Static method in class org.tensorflow.op.core.Sum

Factory method to create a class to wrap a new Sum operation to the graph.

create(Scope, Operand<T>, Operand<U>, Cumprod.Options...) - Static method in class org.tensorflow.op.math.Cumprod

Factory method to create a class to wrap a new Cumprod operation to the graph.

create(Scope, Operand<T>, Operand<U>, Cumsum.Options...) - Static method in class org.tensorflow.op.math.Cumsum

Factory method to create a class to wrap a new Cumsum operation to the graph.

create(Scope, Operand<T>, Operand<U>, Mean.Options...) - Static method in class org.tensorflow.op.math.Mean

Factory method to create a class to wrap a new Mean operation to the graph.

create(Scope, Operand<T>, Operand<U>, RandomGamma.Options...) - Static method in class org.tensorflow.op.random.RandomGamma

Factory method to create a class to wrap a new RandomGamma operation to the graph.

create(Scope, Operand<T>, Operand<U>, RandomPoisson.Options...) - Static method in class org.tensorflow.op.random.RandomPoisson

Factory method to create a class to wrap a new RandomPoisson operation to the graph, using default output types.

create(Scope, Operand<T>, Operand<U>, SparseMatMul.Options...) - Static method in class org.tensorflow.op.sparse.SparseMatMul

Factory method to create a class to wrap a new SparseMatMul operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Float>, Operand<Float>) - Static method in class org.tensorflow.op.core.QuantizedReshape

Factory method to create a class to wrap a new QuantizedReshape operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<V>) - Static method in class org.tensorflow.op.math.QuantizedAdd

Factory method to create a class to wrap a new QuantizedAdd operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<V>) - Static method in class org.tensorflow.op.math.QuantizedMul

Factory method to create a class to wrap a new QuantizedMul operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<V>) - Static method in class org.tensorflow.op.nn.QuantizedBiasAdd

Factory method to create a class to wrap a new QuantizedBiasAdd operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<V>, Class<W>, QuantizedMatMul.Options...) - Static method in class org.tensorflow.op.linalg.QuantizedMatMul

Factory method to create a class to wrap a new QuantizedMatMul operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<V>, List<Long>, String, QuantizedConv2d.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2d

Factory method to create a class to wrap a new QuantizedConv2d operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Integer>) - Static method in class org.tensorflow.op.sparse.SparseSegmentMean

Factory method to create a class to wrap a new SparseSegmentMean operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Integer>) - Static method in class org.tensorflow.op.sparse.SparseSegmentSqrtN

Factory method to create a class to wrap a new SparseSegmentSqrtN operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Integer>) - Static method in class org.tensorflow.op.sparse.SparseSegmentSum

Factory method to create a class to wrap a new SparseSegmentSum operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Integer>, Long) - Static method in class org.tensorflow.op.core.SplitV

Factory method to create a class to wrap a new SplitV operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Integer>, Operand<Integer>) - Static method in class org.tensorflow.op.sparse.SparseSegmentMeanGrad

Factory method to create a class to wrap a new SparseSegmentMeanGrad operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Integer>, Operand<Integer>) - Static method in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad

Factory method to create a class to wrap a new SparseSegmentSqrtNGrad operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Integer>, Operand<V>) - Static method in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments

Factory method to create a class to wrap a new SparseSegmentMeanWithNumSegments operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Integer>, Operand<V>) - Static method in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments

Factory method to create a class to wrap a new SparseSegmentSqrtNWithNumSegments operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Integer>, Operand<V>) - Static method in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments

Factory method to create a class to wrap a new SparseSegmentSumWithNumSegments operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Long>, Operand<U>, SparseTensorDenseMatMul.Options...) - Static method in class org.tensorflow.op.sparse.SparseTensorDenseMatMul

Factory method to create a class to wrap a new SparseTensorDenseMatMul operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<T>) - Static method in class org.tensorflow.op.core.Pad

Factory method to create a class to wrap a new Pad operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<T>) - Static method in class org.tensorflow.op.core.ScatterNd

Factory method to create a class to wrap a new ScatterNd operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<T>) - Static method in class org.tensorflow.op.core.ScatterNdNonAliasingAdd

Factory method to create a class to wrap a new ScatterNdNonAliasingAdd operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<T>, ScatterAdd.Options...) - Static method in class org.tensorflow.op.core.ScatterAdd

Factory method to create a class to wrap a new ScatterAdd operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<T>, ScatterDiv.Options...) - Static method in class org.tensorflow.op.core.ScatterDiv

Factory method to create a class to wrap a new ScatterDiv operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<T>, ScatterMax.Options...) - Static method in class org.tensorflow.op.core.ScatterMax

Factory method to create a class to wrap a new ScatterMax operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<T>, ScatterMin.Options...) - Static method in class org.tensorflow.op.core.ScatterMin

Factory method to create a class to wrap a new ScatterMin operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<T>, ScatterMul.Options...) - Static method in class org.tensorflow.op.core.ScatterMul

Factory method to create a class to wrap a new ScatterMul operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<T>, ScatterNdAdd.Options...) - Static method in class org.tensorflow.op.core.ScatterNdAdd

Factory method to create a class to wrap a new ScatterNdAdd operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<T>, ScatterNdSub.Options...) - Static method in class org.tensorflow.op.core.ScatterNdSub

Factory method to create a class to wrap a new ScatterNdSub operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<T>, ScatterNdUpdate.Options...) - Static method in class org.tensorflow.op.core.ScatterNdUpdate

Factory method to create a class to wrap a new ScatterNdUpdate operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<T>, ScatterSub.Options...) - Static method in class org.tensorflow.op.core.ScatterSub

Factory method to create a class to wrap a new ScatterSub operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<T>, ScatterUpdate.Options...) - Static method in class org.tensorflow.op.core.ScatterUpdate

Factory method to create a class to wrap a new ScatterUpdate operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.sparse.SparseTensorDenseAdd

Factory method to create a class to wrap a new SparseTensorDenseAdd operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<U>) - Static method in class org.tensorflow.op.core.Slice

Factory method to create a class to wrap a new Slice operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<U>) - Static method in class org.tensorflow.op.linalg.BandPart

Factory method to create a class to wrap a new BandPart operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<U>, List<Long>, String, Conv3dBackpropInput.Options...) - Static method in class org.tensorflow.op.nn.Conv3dBackpropInput

Factory method to create a class to wrap a new Conv3dBackpropInput operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<U>, RandomUniformInt.Options...) - Static method in class org.tensorflow.op.random.RandomUniformInt

Factory method to create a class to wrap a new RandomUniformInt operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<U>, Operand<U>, StridedSlice.Options...) - Static method in class org.tensorflow.op.core.StridedSlice

Factory method to create a class to wrap a new StridedSlice operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<U>, Operand<U>, Operand<T>, StridedSliceAssign.Options...) - Static method in class org.tensorflow.op.core.StridedSliceAssign

Factory method to create a class to wrap a new StridedSliceAssign operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<U>, Operand<U>, Operand<U>, FusedBatchNorm.Options...) - Static method in class org.tensorflow.op.nn.FusedBatchNorm

Factory method to create a class to wrap a new FusedBatchNorm operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<U>, Operand<U>, Operand<U>, ParameterizedTruncatedNormal.Options...) - Static method in class org.tensorflow.op.random.ParameterizedTruncatedNormal

Factory method to create a class to wrap a new ParameterizedTruncatedNormal operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<V>) - Static method in class org.tensorflow.op.core.BatchToSpaceNd

Factory method to create a class to wrap a new BatchToSpaceNd operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<V>) - Static method in class org.tensorflow.op.core.Gather

Factory method to create a class to wrap a new Gather operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<V>) - Static method in class org.tensorflow.op.core.Roll

Factory method to create a class to wrap a new Roll operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<V>) - Static method in class org.tensorflow.op.core.SpaceToBatchNd

Factory method to create a class to wrap a new SpaceToBatchNd operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<V>) - Static method in class org.tensorflow.op.math.UnsortedSegmentMax

Factory method to create a class to wrap a new UnsortedSegmentMax operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<V>) - Static method in class org.tensorflow.op.math.UnsortedSegmentMin

Factory method to create a class to wrap a new UnsortedSegmentMin operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<V>) - Static method in class org.tensorflow.op.math.UnsortedSegmentProd

Factory method to create a class to wrap a new UnsortedSegmentProd operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<V>) - Static method in class org.tensorflow.op.math.UnsortedSegmentSum

Factory method to create a class to wrap a new UnsortedSegmentSum operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<V>, Operand<V>) - Static method in class org.tensorflow.op.random.StatelessRandomUniformInt

Factory method to create a class to wrap a new StatelessRandomUniformInt operation to the graph.

create(Scope, Operand<T>, Shape) - Static method in class org.tensorflow.op.core.EnsureShape

Factory method to create a class to wrap a new EnsureShape operation to the graph.

create(Scope, Operand<T>, Shape) - Static method in class org.tensorflow.op.core.NcclBroadcast

Factory method to create a class to wrap a new NcclBroadcast operation to the graph.

create(Scope, Operand<T>, Shape) - Static method in class org.tensorflow.op.core.ParallelConcat

Factory method to create a class to wrap a new ParallelConcat operation to the graph.

create(Scope, Operand<T>, Shape) - Static method in class org.tensorflow.op.core.PlaceholderWithDefault

Factory method to create a class to wrap a new PlaceholderWithDefault operation to the graph.

create(Scope, Operand<T>, Shape) - Static method in class org.tensorflow.op.math.AccumulateN

Factory method to create a class to wrap a new AccumulateN operation to the graph.

create(Scope, Operand<U>, Class<T>) - Static method in class org.tensorflow.op.core.Zeros

Creates a zeroed tensor given its type and shape.

create(Scope, Shape, Class<T>, TemporaryVariable.Options...) - Static method in class org.tensorflow.op.core.TemporaryVariable

Factory method to create a class to wrap a new TemporaryVariable operation to the graph.

create(Scope, Shape, Class<T>, Variable.Options...) - Static method in class org.tensorflow.op.core.Variable

Factory method to create a class to wrap a new Variable operation to the graph.

CreateSummaryDbWriter - Class in org.tensorflow.op.summary

CreateSummaryFileWriter - Class in org.tensorflow.op.summary

cropAndResize(Operand<T>, Operand<Float>, Operand<Integer>, Operand<Integer>, CropAndResize.Options...) - Method in class org.tensorflow.op.ImageOps

Adds an CropAndResize operation to the graph

CropAndResize - Class in org.tensorflow.op.image

Extracts crops from the input image tensor and resizes them.

CropAndResize.Options - Class in org.tensorflow.op.image

Optional attributes for CropAndResize

cropAndResizeGradBoxes(Operand<Float>, Operand<T>, Operand<Float>, Operand<Integer>, CropAndResizeGradBoxes.Options...) - Method in class org.tensorflow.op.ImageOps

Adds an CropAndResizeGradBoxes operation to the graph

CropAndResizeGradBoxes - Class in org.tensorflow.op.image

Computes the gradient of the crop_and_resize op wrt the input boxes tensor.

CropAndResizeGradBoxes.Options - Class in org.tensorflow.op.image

Optional attributes for CropAndResizeGradBoxes

cropAndResizeGradImage(Operand<Float>, Operand<Float>, Operand<Integer>, Operand<Integer>, Class<T>, CropAndResizeGradImage.Options...) - Method in class org.tensorflow.op.ImageOps

Adds an CropAndResizeGradImage operation to the graph

CropAndResizeGradImage<T extends java.lang.Number> - Class in org.tensorflow.op.image

Computes the gradient of the crop_and_resize op wrt the input image tensor.

CropAndResizeGradImage.Options - Class in org.tensorflow.op.image

Optional attributes for CropAndResizeGradImage

crops() - Method in class org.tensorflow.op.image.CropAndResize

A 4-D tensor of shape `[num_boxes, crop_height, crop_width, depth]`.

cross(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Adds an Cross operation to the graph

Cross<T extends java.lang.Number> - Class in org.tensorflow.op.linalg

Compute the pairwise cross product.

ctcBeamSearchDecoder(Operand<Float>, Operand<Integer>, Long, Long, CtcBeamSearchDecoder.Options...) - Method in class org.tensorflow.op.NnOps

Adds an CtcBeamSearchDecoder operation to the graph

CtcBeamSearchDecoder - Class in org.tensorflow.op.nn

Performs beam search decoding on the logits given in input.

CtcBeamSearchDecoder.Options - Class in org.tensorflow.op.nn

Optional attributes for CtcBeamSearchDecoder

ctcGreedyDecoder(Operand<Float>, Operand<Integer>, CtcGreedyDecoder.Options...) - Method in class org.tensorflow.op.NnOps

Adds an CtcGreedyDecoder operation to the graph

CtcGreedyDecoder - Class in org.tensorflow.op.nn

Performs greedy decoding on the logits given in inputs.

CtcGreedyDecoder.Options - Class in org.tensorflow.op.nn

Optional attributes for CtcGreedyDecoder

ctcLoss(Operand<Float>, Operand<Long>, Operand<Integer>, Operand<Integer>, CtcLoss.Options...) - Method in class org.tensorflow.op.NnOps

Adds an CtcLoss operation to the graph

CtcLoss - Class in org.tensorflow.op.nn

Calculates the CTC Loss (log probability) for each batch entry.

CtcLoss.Options - Class in org.tensorflow.op.nn

Optional attributes for CtcLoss

ctcMergeRepeated(Boolean) - Static method in class org.tensorflow.op.nn.CtcLoss

ctcMergeRepeated(Boolean) - Method in class org.tensorflow.op.nn.CtcLoss.Options

CudnnRnn<T extends java.lang.Number> - Class in org.tensorflow.op.nn

A RNN backed by cuDNN.

CudnnRnn.Options - Class in org.tensorflow.op.nn

Optional attributes for CudnnRnn

CudnnRnnBackprop<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Backprop step of CudnnRNN.

CudnnRnnBackprop.Options - Class in org.tensorflow.op.nn

Optional attributes for CudnnRnnBackprop

cudnnRnnCanonicalToParams(Operand<Integer>, Operand<Integer>, Operand<Integer>, Operand<T>, Iterable<Operand<T>>, CudnnRnnCanonicalToParams.Options...) - Method in class org.tensorflow.op.NnOps

Adds an CudnnRnnCanonicalToParams operation to the graph

CudnnRnnCanonicalToParams<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Converts CudnnRNN params from canonical form to usable form.

CudnnRnnCanonicalToParams.Options - Class in org.tensorflow.op.nn

Optional attributes for CudnnRnnCanonicalToParams

cudnnRnnParamsSize(Operand<Integer>, Operand<Integer>, Operand<Integer>, Class<T>, Class<U>, CudnnRnnParamsSize.Options...) - Method in class org.tensorflow.op.NnOps

Adds an CudnnRnnParamsSize operation to the graph

CudnnRnnParamsSize<U extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes size of weights that can be used by a Cudnn RNN model.

CudnnRnnParamsSize.Options - Class in org.tensorflow.op.nn

Optional attributes for CudnnRnnParamsSize

cudnnRnnParamsToCanonical(Operand<Integer>, Operand<Integer>, Operand<Integer>, Operand<T>, Long, CudnnRnnParamsToCanonical.Options...) - Method in class org.tensorflow.op.NnOps

Adds an CudnnRnnParamsToCanonical operation to the graph

CudnnRnnParamsToCanonical<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Retrieves CudnnRNN params in canonical form.

CudnnRnnParamsToCanonical.Options - Class in org.tensorflow.op.nn

Optional attributes for CudnnRnnParamsToCanonical

cumprod(Operand<T>, Operand<U>, Cumprod.Options...) - Method in class org.tensorflow.op.MathOps

Adds an Cumprod operation to the graph

Cumprod<T> - Class in org.tensorflow.op.math

Compute the cumulative product of the tensor `x` along `axis`.

Cumprod.Options - Class in org.tensorflow.op.math

Optional attributes for Cumprod

cumsum(Operand<T>, Operand<U>, Cumsum.Options...) - Method in class org.tensorflow.op.MathOps

Adds an Cumsum operation to the graph

Cumsum<T> - Class in org.tensorflow.op.math

Compute the cumulative sum of the tensor `x` along `axis`.

Cumsum.Options - Class in org.tensorflow.op.math

Optional attributes for Cumsum

currentEpoch() - Method in class org.tensorflow.op.core.Skipgram

The current epoch number.

D

data - Variable in class org.tensorflow.op.Ops

data() - Method in class org.tensorflow.op.collective.AllReduce

data() - Method in class org.tensorflow.op.collective.BroadcastRecv

data() - Method in class org.tensorflow.op.collective.BroadcastSend

data() - Method in class org.tensorflow.op.core.NcclAllReduce

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

data() - Method in class org.tensorflow.op.Ops

Returns an API for adding data operations to the graph

dataFormat(String) - Static method in class org.tensorflow.op.nn.AvgPool

dataFormat(String) - Method in class org.tensorflow.op.nn.AvgPool.Options

dataFormat(String) - Static method in class org.tensorflow.op.nn.AvgPool3d

dataFormat(String) - Method in class org.tensorflow.op.nn.AvgPool3d.Options

dataFormat(String) - Static method in class org.tensorflow.op.nn.AvgPool3dGrad

dataFormat(String) - Method in class org.tensorflow.op.nn.AvgPool3dGrad.Options

dataFormat(String) - Static method in class org.tensorflow.op.nn.AvgPoolGrad

dataFormat(String) - Method in class org.tensorflow.op.nn.AvgPoolGrad.Options

dataFormat(String) - Static method in class org.tensorflow.op.nn.BiasAdd

dataFormat(String) - Method in class org.tensorflow.op.nn.BiasAdd.Options

dataFormat(String) - Static method in class org.tensorflow.op.nn.BiasAddGrad

dataFormat(String) - Method in class org.tensorflow.op.nn.BiasAddGrad.Options

dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv2d

dataFormat(String) - Method in class org.tensorflow.op.nn.Conv2d.Options

dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilter

dataFormat(String) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter.Options

dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInput

dataFormat(String) - Method in class org.tensorflow.op.nn.Conv2dBackpropInput.Options

dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv3d

dataFormat(String) - Method in class org.tensorflow.op.nn.Conv3d.Options

dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv3dBackpropFilter

dataFormat(String) - Method in class org.tensorflow.op.nn.Conv3dBackpropFilter.Options

dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv3dBackpropInput

dataFormat(String) - Method in class org.tensorflow.op.nn.Conv3dBackpropInput.Options

dataFormat(String) - Static method in class org.tensorflow.op.nn.DepthToSpace

dataFormat(String) - Method in class org.tensorflow.op.nn.DepthToSpace.Options

dataFormat(String) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNative

dataFormat(String) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNative.Options

dataFormat(String) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter

dataFormat(String) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Options

dataFormat(String) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput

dataFormat(String) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Options

dataFormat(String) - Static method in class org.tensorflow.op.nn.FusedBatchNorm

dataFormat(String) - Method in class org.tensorflow.op.nn.FusedBatchNorm.Options

dataFormat(String) - Static method in class org.tensorflow.op.nn.FusedBatchNormGrad

dataFormat(String) - Method in class org.tensorflow.op.nn.FusedBatchNormGrad.Options

dataFormat(String) - Static method in class org.tensorflow.op.nn.MaxPool

dataFormat(String) - Method in class org.tensorflow.op.nn.MaxPool.Options

dataFormat(String) - Static method in class org.tensorflow.op.nn.MaxPool3d

dataFormat(String) - Method in class org.tensorflow.op.nn.MaxPool3d.Options

dataFormat(String) - Static method in class org.tensorflow.op.nn.MaxPool3dGrad

dataFormat(String) - Method in class org.tensorflow.op.nn.MaxPool3dGrad.Options

dataFormat(String) - Static method in class org.tensorflow.op.nn.MaxPool3dGradGrad

dataFormat(String) - Method in class org.tensorflow.op.nn.MaxPool3dGradGrad.Options

dataFormat(String) - Static method in class org.tensorflow.op.nn.MaxPoolGrad

dataFormat(String) - Method in class org.tensorflow.op.nn.MaxPoolGrad.Options

dataFormat(String) - Static method in class org.tensorflow.op.nn.MaxPoolGradGrad

dataFormat(String) - Method in class org.tensorflow.op.nn.MaxPoolGradGrad.Options

dataFormat(String) - Static method in class org.tensorflow.op.nn.SpaceToDepth

dataFormat(String) - Method in class org.tensorflow.op.nn.SpaceToDepth.Options

dataFormatDimMap(Operand<T>, DataFormatDimMap.Options...) - Method in class org.tensorflow.op.NnOps

Adds an DataFormatDimMap operation to the graph

DataFormatDimMap<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Returns the dimension index in the destination data format given the one in

DataFormatDimMap.Options - Class in org.tensorflow.op.nn

Optional attributes for DataFormatDimMap

dataFormatVecPermute(Operand<T>, DataFormatVecPermute.Options...) - Method in class org.tensorflow.op.NnOps

Adds an DataFormatVecPermute operation to the graph

DataFormatVecPermute<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Returns the permuted vector/tensor in the destination data format given the

DataFormatVecPermute.Options - Class in org.tensorflow.op.nn

Optional attributes for DataFormatVecPermute

DataOps - Class in org.tensorflow.op

An API for adding data operations to a Graph

DatasetToGraph - Class in org.tensorflow.op.data

Returns a serialized GraphDef representing `input_dataset`.

datasetToSingleElement(Operand<?>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.DataOps

Adds an DatasetToSingleElement operation to the graph

DatasetToSingleElement - Class in org.tensorflow.op.data

Outputs the single element from the given dataset.

DatasetToTfRecord - Class in org.tensorflow.op.data

Writes the given dataset to the given file using the TFRecord format.

dataType() - Method in class org.tensorflow.Output

Returns the DataType of the tensor referred to by this Output.

dataType() - Method in class org.tensorflow.Tensor

Returns the DataType of elements stored in the Tensor.

DataType - Enum in org.tensorflow

Represents the type of elements in a Tensor as an enum.

db() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad

1D backprop tensor for beta.

dctCoefficientCount(Long) - Static method in class org.tensorflow.op.audio.Mfcc

dctCoefficientCount(Long) - Method in class org.tensorflow.op.audio.Mfcc.Options

dctMethod(String) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg

dctMethod(String) - Method in class org.tensorflow.op.image.DecodeAndCropJpeg.Options

dctMethod(String) - Static method in class org.tensorflow.op.image.DecodeJpeg

dctMethod(String) - Method in class org.tensorflow.op.image.DecodeJpeg.Options

dDefaultValue() - Method in class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad

0-D.

DebugGradientIdentity<T> - Class in org.tensorflow.op.core

Identity op for gradient debugging.

DebugGradientRefIdentity<T> - Class in org.tensorflow.op.core

Identity op for gradient debugging.

decodeAndCropJpeg(Operand<String>, Operand<Integer>, DecodeAndCropJpeg.Options...) - Method in class org.tensorflow.op.ImageOps

Adds an DecodeAndCropJpeg operation to the graph

DecodeAndCropJpeg - Class in org.tensorflow.op.image

Decode and Crop a JPEG-encoded image to a uint8 tensor.

DecodeAndCropJpeg.Options - Class in org.tensorflow.op.image

Optional attributes for DecodeAndCropJpeg

decodeBase64(Operand<String>) - Method in class org.tensorflow.op.IoOps

Adds an DecodeBase64 operation to the graph

DecodeBase64 - Class in org.tensorflow.op.io

Decode web-safe base64-encoded strings.

decodeBmp(Operand<String>, DecodeBmp.Options...) - Method in class org.tensorflow.op.ImageOps

Adds an DecodeBmp operation to the graph

DecodeBmp - Class in org.tensorflow.op.image

Decode the first frame of a BMP-encoded image to a uint8 tensor.

DecodeBmp.Options - Class in org.tensorflow.op.image

Optional attributes for DecodeBmp

decodeCompressed(Operand<String>, DecodeCompressed.Options...) - Method in class org.tensorflow.op.IoOps

Adds an DecodeCompressed operation to the graph

DecodeCompressed - Class in org.tensorflow.op.io

Decompress strings.

DecodeCompressed.Options - Class in org.tensorflow.op.io

Optional attributes for DecodeCompressed

decodeCsv(Operand<String>, Iterable<Operand<?>>, DecodeCsv.Options...) - Method in class org.tensorflow.op.IoOps

Adds an DecodeCsv operation to the graph

DecodeCsv - Class in org.tensorflow.op.io

Convert CSV records to tensors.

DecodeCsv.Options - Class in org.tensorflow.op.io

Optional attributes for DecodeCsv

decodedIndices() - Method in class org.tensorflow.op.nn.CtcBeamSearchDecoder

A list (length: top_paths) of indices matrices.

decodedIndices() - Method in class org.tensorflow.op.nn.CtcGreedyDecoder

Indices matrix, size `(total_decoded_outputs x 2)`, of a `SparseTensor`.

decodedShape() - Method in class org.tensorflow.op.nn.CtcBeamSearchDecoder

A list (length: top_paths) of shape vector.

decodedShape() - Method in class org.tensorflow.op.nn.CtcGreedyDecoder

Shape vector, size `(2)`, of the decoded SparseTensor.

decodedValues() - Method in class org.tensorflow.op.nn.CtcBeamSearchDecoder

A list (length: top_paths) of values vectors.

decodedValues() - Method in class org.tensorflow.op.nn.CtcGreedyDecoder

Values vector, size: `(total_decoded_outputs)`, of a `SparseTensor`.

decodeGif(Operand<String>) - Method in class org.tensorflow.op.ImageOps

Adds an DecodeGif operation to the graph

DecodeGif - Class in org.tensorflow.op.image

Decode the first frame of a GIF-encoded image to a uint8 tensor.

decodeJpeg(Operand<String>, DecodeJpeg.Options...) - Method in class org.tensorflow.op.ImageOps

Adds an DecodeJpeg operation to the graph

DecodeJpeg - Class in org.tensorflow.op.image

Decode a JPEG-encoded image to a uint8 tensor.

DecodeJpeg.Options - Class in org.tensorflow.op.image

Optional attributes for DecodeJpeg

decodeJsonExample(Operand<String>) - Method in class org.tensorflow.op.IoOps

Adds an DecodeJsonExample operation to the graph

DecodeJsonExample - Class in org.tensorflow.op.io

Convert JSON-encoded Example records to binary protocol buffer strings.

decodePng(Operand<String>, Class<T>, DecodePng.Options...) - Method in class org.tensorflow.op.ImageOps

Adds an DecodePng operation to the graph

decodePng(Operand<String>, DecodePng.Options...) - Method in class org.tensorflow.op.ImageOps

Adds an DecodePng operation to the graph

DecodePng<T extends java.lang.Number> - Class in org.tensorflow.op.image

Decode a PNG-encoded image to a uint8 or uint16 tensor.

DecodePng.Options - Class in org.tensorflow.op.image

Optional attributes for DecodePng

decodeProto(Operand<String>, String, List<String>, List<Class<?>>, DecodeProto.Options...) - Method in class org.tensorflow.op.Ops

Adds an DecodeProto operation to the graph

DecodeProto - Class in org.tensorflow.op.core

The op extracts fields from a serialized protocol buffers message into tensors.

DecodeProto.Options - Class in org.tensorflow.op.core

Optional attributes for DecodeProto

decodeRaw(Operand<String>, Class<T>, DecodeRaw.Options...) - Method in class org.tensorflow.op.IoOps

Adds an DecodeRaw operation to the graph

DecodeRaw<T extends java.lang.Number> - Class in org.tensorflow.op.io

Reinterpret the bytes of a string as a vector of numbers.

DecodeRaw.Options - Class in org.tensorflow.op.io

Optional attributes for DecodeRaw

decodeWav(Operand<String>, DecodeWav.Options...) - Method in class org.tensorflow.op.AudioOps

Adds an DecodeWav operation to the graph

DecodeWav - Class in org.tensorflow.op.audio

Decode a 16-bit PCM WAV file to a float tensor.

DecodeWav.Options - Class in org.tensorflow.op.audio

Optional attributes for DecodeWav

deepCopy(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an DeepCopy operation to the graph

DeepCopy<T> - Class in org.tensorflow.op.core

Makes a copy of `x`.

deleteOldDirs(Boolean) - Static method in class org.tensorflow.op.train.MergeV2Checkpoints

deleteOldDirs(Boolean) - Method in class org.tensorflow.op.train.MergeV2Checkpoints.Options

deleteSessionTensor(Operand<String>) - Method in class org.tensorflow.op.Ops

Adds an DeleteSessionTensor operation to the graph

DeleteSessionTensor - Class in org.tensorflow.op.core

Delete the tensor specified by its handle in the session.

delimiter(String) - Static method in class org.tensorflow.op.core.InitializeTableFromTextFile

delimiter(String) - Method in class org.tensorflow.op.core.InitializeTableFromTextFile.Options

dense() - Method in class org.tensorflow.op.sparse.SparseToDense

Dense output tensor of shape `output_shape`.

denseToDenseSetOperation(Operand<T>, Operand<T>, String, DenseToDenseSetOperation.Options...) - Method in class org.tensorflow.op.SparseOps

Adds an DenseToDenseSetOperation operation to the graph

DenseToDenseSetOperation<T> - Class in org.tensorflow.op.sparse

Applies set operation along last dimension of 2 `Tensor` inputs.

DenseToDenseSetOperation.Options - Class in org.tensorflow.op.sparse

Optional attributes for DenseToDenseSetOperation

denseToSparseBatchDataset(Operand<?>, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.DataOps

Adds an DenseToSparseBatchDataset operation to the graph

DenseToSparseBatchDataset - Class in org.tensorflow.op.data

Creates a dataset that batches input elements into a SparseTensor.

denseToSparseSetOperation(Operand<T>, Operand<Long>, Operand<T>, Operand<Long>, String, DenseToSparseSetOperation.Options...) - Method in class org.tensorflow.op.SparseOps

Adds an DenseToSparseSetOperation operation to the graph

DenseToSparseSetOperation<T> - Class in org.tensorflow.op.sparse

Applies set operation along last dimension of `Tensor` and `SparseTensor`.

DenseToSparseSetOperation.Options - Class in org.tensorflow.op.sparse

Optional attributes for DenseToSparseSetOperation

denseValues() - Method in class org.tensorflow.op.io.ParseExample

denseValues() - Method in class org.tensorflow.op.io.ParseSingleExample

densityUnit(String) - Static method in class org.tensorflow.op.image.EncodeJpeg

densityUnit(String) - Method in class org.tensorflow.op.image.EncodeJpeg.Options

depthRadius(Long) - Static method in class org.tensorflow.op.nn.LocalResponseNormalization

depthRadius(Long) - Method in class org.tensorflow.op.nn.LocalResponseNormalization.Options

depthRadius(Long) - Static method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad

depthRadius(Long) - Method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Options

depthToSpace(Operand<T>, Long, DepthToSpace.Options...) - Method in class org.tensorflow.op.NnOps

Adds an DepthToSpace operation to the graph

DepthToSpace<T> - Class in org.tensorflow.op.nn

DepthToSpace for tensors of type T.

DepthToSpace.Options - Class in org.tensorflow.op.nn

Optional attributes for DepthToSpace

depthwiseConv2dNative(Operand<T>, Operand<T>, List<Long>, String, DepthwiseConv2dNative.Options...) - Method in class org.tensorflow.op.NnOps

Adds an DepthwiseConv2dNative operation to the graph

DepthwiseConv2dNative<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes a 2-D depthwise convolution given 4-D `input` and `filter` tensors.

DepthwiseConv2dNative.Options - Class in org.tensorflow.op.nn

Optional attributes for DepthwiseConv2dNative

depthwiseConv2dNativeBackpropFilter(Operand<T>, Operand<Integer>, Operand<T>, List<Long>, String, DepthwiseConv2dNativeBackpropFilter.Options...) - Method in class org.tensorflow.op.NnOps

Adds an DepthwiseConv2dNativeBackpropFilter operation to the graph

DepthwiseConv2dNativeBackpropFilter<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes the gradients of depthwise convolution with respect to the filter.

DepthwiseConv2dNativeBackpropFilter.Options - Class in org.tensorflow.op.nn

Optional attributes for DepthwiseConv2dNativeBackpropFilter

depthwiseConv2dNativeBackpropInput(Operand<Integer>, Operand<T>, Operand<T>, List<Long>, String, DepthwiseConv2dNativeBackpropInput.Options...) - Method in class org.tensorflow.op.NnOps

Adds an DepthwiseConv2dNativeBackpropInput operation to the graph

DepthwiseConv2dNativeBackpropInput<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes the gradients of depthwise convolution with respect to the input.

DepthwiseConv2dNativeBackpropInput.Options - Class in org.tensorflow.op.nn

Optional attributes for DepthwiseConv2dNativeBackpropInput

dequantize(Operand<T>, Operand<Float>, Operand<Float>, Dequantize.Options...) - Method in class org.tensorflow.op.QuantizationOps

Adds an Dequantize operation to the graph

Dequantize - Class in org.tensorflow.op.quantization

Dequantize the 'input' tensor into a float Tensor.

Dequantize.Options - Class in org.tensorflow.op.quantization

Optional attributes for Dequantize

descriptorSource(String) - Static method in class org.tensorflow.op.core.DecodeProto

descriptorSource(String) - Method in class org.tensorflow.op.core.DecodeProto.Options

descriptorSource(String) - Static method in class org.tensorflow.op.core.EncodeProto

descriptorSource(String) - Method in class org.tensorflow.op.core.EncodeProto.Options

deserializeIterator(Operand<?>, Operand<?>) - Method in class org.tensorflow.op.DataOps

Adds an DeserializeIterator operation to the graph

DeserializeIterator - Class in org.tensorflow.op.data

Converts the given variant tensor to an iterator and stores it in the given resource.

deserializeManySparse(Operand<String>, Class<T>) - Method in class org.tensorflow.op.IoOps

Adds an DeserializeManySparse operation to the graph

DeserializeManySparse<T> - Class in org.tensorflow.op.io

Deserialize and concatenate `SparseTensors` from a serialized minibatch.

deserializeSparse(Operand<T>, Class<U>) - Method in class org.tensorflow.op.SparseOps

Adds an DeserializeSparse operation to the graph

DeserializeSparse<U> - Class in org.tensorflow.op.sparse

Deserialize `SparseTensor` objects.

desiredChannels(Long) - Static method in class org.tensorflow.op.audio.DecodeWav

desiredChannels(Long) - Method in class org.tensorflow.op.audio.DecodeWav.Options

desiredSamples(Long) - Static method in class org.tensorflow.op.audio.DecodeWav

desiredSamples(Long) - Method in class org.tensorflow.op.audio.DecodeWav.Options

destroyResourceOp(Operand<?>, DestroyResourceOp.Options...) - Method in class org.tensorflow.op.Ops

Adds an DestroyResourceOp operation to the graph

DestroyResourceOp - Class in org.tensorflow.op.core

Deletes the resource specified by the handle.

DestroyResourceOp.Options - Class in org.tensorflow.op.core

Optional attributes for DestroyResourceOp

destroyTemporaryVariable(Operand<T>, String) - Method in class org.tensorflow.op.Ops

Adds an DestroyTemporaryVariable operation to the graph

DestroyTemporaryVariable<T> - Class in org.tensorflow.op.core

Destroys the temporary variable and returns its final value.

det(Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Adds an Det operation to the graph

Det<T> - Class in org.tensorflow.op.linalg

Computes the determinant of one or more square matrices.

deterministic(Boolean) - Static method in class org.tensorflow.op.nn.FractionalAvgPool

deterministic(Boolean) - Method in class org.tensorflow.op.nn.FractionalAvgPool.Options

deterministic(Boolean) - Static method in class org.tensorflow.op.nn.FractionalMaxPool

deterministic(Boolean) - Method in class org.tensorflow.op.nn.FractionalMaxPool.Options

device() - Method in class org.tensorflow.op.data.ExperimentalIteratorGetDevice

dg() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad

1D backprop tensor for gamma.

diag(Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Adds an Diag operation to the graph

Diag<T> - Class in org.tensorflow.op.linalg

Returns a batched diagonal tensor with a given batched diagonal values.

diagonal() - Method in class org.tensorflow.op.linalg.BatchMatrixDiagPart

diagonal() - Method in class org.tensorflow.op.linalg.DiagPart

The extracted diagonal(s) having shape `diagonal.shape = input.shape[:-2] + [min(input.shape[-2:])]`.

diagonal() - Method in class org.tensorflow.op.linalg.TensorDiagPart

The extracted diagonal.

diagPart(Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Adds an DiagPart operation to the graph

DiagPart<T> - Class in org.tensorflow.op.linalg

Returns the batched diagonal part of a batched tensor.

digamma(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Digamma operation to the graph

Digamma<T extends java.lang.Number> - Class in org.tensorflow.op.math

Computes Psi, the derivative of Lgamma (the log of the absolute value of

dilation2d(Operand<T>, Operand<T>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.NnOps

Adds an Dilation2d operation to the graph

Dilation2d<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes the grayscale dilation of 4-D `input` and 3-D `filter` tensors.

dilation2dBackpropFilter(Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.NnOps

Adds an Dilation2dBackpropFilter operation to the graph

Dilation2dBackpropFilter<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes the gradient of morphological 2-D dilation with respect to the filter.

dilation2dBackpropInput(Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.NnOps

Adds an Dilation2dBackpropInput operation to the graph

Dilation2dBackpropInput<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes the gradient of morphological 2-D dilation with respect to the input.

dilations(List<Long>) - Static method in class org.tensorflow.op.nn.Conv2d

dilations(List<Long>) - Method in class org.tensorflow.op.nn.Conv2d.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilter

dilations(List<Long>) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInput

dilations(List<Long>) - Method in class org.tensorflow.op.nn.Conv2dBackpropInput.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.nn.Conv3d

dilations(List<Long>) - Method in class org.tensorflow.op.nn.Conv3d.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.nn.Conv3dBackpropFilter

dilations(List<Long>) - Method in class org.tensorflow.op.nn.Conv3dBackpropFilter.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.nn.Conv3dBackpropInput

dilations(List<Long>) - Method in class org.tensorflow.op.nn.Conv3dBackpropInput.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNative

dilations(List<Long>) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNative.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter

dilations(List<Long>) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput

dilations(List<Long>) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2d

dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2d.Options

direction(String) - Static method in class org.tensorflow.op.nn.CudnnRnn

direction(String) - Method in class org.tensorflow.op.nn.CudnnRnn.Options

direction(String) - Static method in class org.tensorflow.op.nn.CudnnRnnBackprop

direction(String) - Method in class org.tensorflow.op.nn.CudnnRnnBackprop.Options

direction(String) - Static method in class org.tensorflow.op.nn.CudnnRnnCanonicalToParams

direction(String) - Method in class org.tensorflow.op.nn.CudnnRnnCanonicalToParams.Options

direction(String) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize

direction(String) - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize.Options

direction(String) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsToCanonical

direction(String) - Method in class org.tensorflow.op.nn.CudnnRnnParamsToCanonical.Options

distortion(Float) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler

distortion(Float) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options

div(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Div operation to the graph

Div<T> - Class in org.tensorflow.op.math

Returns x / y element-wise.

divNoNan(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an DivNoNan operation to the graph

DivNoNan<T extends java.lang.Number> - Class in org.tensorflow.op.math

Returns 0 if the denominator is zero.

dm() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad

1D backprop tensor for mean.

DOUBLE - org.tensorflow.DataType

64-bit double precision floating point.

doubleValue() - Method in class org.tensorflow.Tensor

Returns the value in a scalar Double tensor.

doubleValue() - Method in class org.tensorflow.types.UInt8

drawBoundingBoxes(Operand<T>, Operand<Float>) - Method in class org.tensorflow.op.ImageOps

Adds an DrawBoundingBoxes operation to the graph

DrawBoundingBoxes<T extends java.lang.Number> - Class in org.tensorflow.op.image

Draw bounding boxes on a batch of images.

dropout(Float) - Static method in class org.tensorflow.op.nn.CudnnRnn

dropout(Float) - Method in class org.tensorflow.op.nn.CudnnRnn.Options

dropout(Float) - Static method in class org.tensorflow.op.nn.CudnnRnnBackprop

dropout(Float) - Method in class org.tensorflow.op.nn.CudnnRnnBackprop.Options

dropout(Float) - Static method in class org.tensorflow.op.nn.CudnnRnnCanonicalToParams

dropout(Float) - Method in class org.tensorflow.op.nn.CudnnRnnCanonicalToParams.Options

dropout(Float) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize

dropout(Float) - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize.Options

dropout(Float) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsToCanonical

dropout(Float) - Method in class org.tensorflow.op.nn.CudnnRnnParamsToCanonical.Options

dstFormat(String) - Static method in class org.tensorflow.op.nn.DataFormatDimMap

dstFormat(String) - Method in class org.tensorflow.op.nn.DataFormatDimMap.Options

dstFormat(String) - Static method in class org.tensorflow.op.nn.DataFormatVecPermute

dstFormat(String) - Method in class org.tensorflow.op.nn.DataFormatVecPermute.Options

dtypes - Variable in class org.tensorflow.op.Ops

dtypes() - Method in class org.tensorflow.op.Ops

Returns an API for adding dtypes operations to the graph

DtypesOps - Class in org.tensorflow.op

An API for adding dtypes operations to a Graph

dv() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad

1D backprop tensor for variance.

dValues() - Method in class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad

1-D.

dx() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad

4D backprop tensor for input.

dx(Iterable<? extends Operand<?>>) - Static method in class org.tensorflow.op.core.Gradients

dx(Iterable<? extends Operand<?>>) - Method in class org.tensorflow.op.core.Gradients.Options

dy() - Method in class org.tensorflow.op.core.Gradients

Partial derivatives of ys w.r.t.

dy(int) - Method in class org.tensorflow.op.core.Gradients

Returns a symbolic handle to one of the gradient operation output

dynamicPartition(Operand<T>, Operand<Integer>, Long) - Method in class org.tensorflow.op.Ops

Adds an DynamicPartition operation to the graph

DynamicPartition<T> - Class in org.tensorflow.op.core

Partitions `data` into `num_partitions` tensors using indices from `partitions`.

dynamicSize(Boolean) - Static method in class org.tensorflow.op.core.TensorArray

dynamicSize(Boolean) - Method in class org.tensorflow.op.core.TensorArray.Options

dynamicStitch(Iterable<Operand<Integer>>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an DynamicStitch operation to the graph

DynamicStitch<T> - Class in org.tensorflow.op.core

Interleave the values from the `data` tensors into a single tensor.

E

e() - Method in class org.tensorflow.op.linalg.BatchSelfAdjointEig

e() - Method in class org.tensorflow.op.linalg.SelfAdjointEig

Eigenvalues.

editDistance(Operand<Long>, Operand<T>, Operand<Long>, Operand<Long>, Operand<T>, Operand<Long>, EditDistance.Options...) - Method in class org.tensorflow.op.Ops

Adds an EditDistance operation to the graph

EditDistance - Class in org.tensorflow.op.core

Computes the (possibly normalized) Levenshtein Edit Distance.

EditDistance.Options - Class in org.tensorflow.op.core

Optional attributes for EditDistance

elementShape() - Method in class org.tensorflow.op.core.TensorListElementShape

elementShape(Shape) - Static method in class org.tensorflow.op.core.TensorArray

elementShape(Shape) - Method in class org.tensorflow.op.core.TensorArray.Options

elementShape(Shape) - Static method in class org.tensorflow.op.core.TensorArrayGather

elementShape(Shape) - Method in class org.tensorflow.op.core.TensorArrayGather.Options

elementShape(Shape) - Static method in class org.tensorflow.op.core.TensorArrayPack

elementShape(Shape) - Method in class org.tensorflow.op.core.TensorArrayPack.Options

elementShapeExcept0(Shape) - Static method in class org.tensorflow.op.core.TensorArrayConcat

elementShapeExcept0(Shape) - Method in class org.tensorflow.op.core.TensorArrayConcat.Options

ellipsisMask(Long) - Static method in class org.tensorflow.op.core.ResourceStridedSliceAssign

ellipsisMask(Long) - Method in class org.tensorflow.op.core.ResourceStridedSliceAssign.Options

ellipsisMask(Long) - Static method in class org.tensorflow.op.core.StridedSlice

ellipsisMask(Long) - Method in class org.tensorflow.op.core.StridedSlice.Options

ellipsisMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceAssign

ellipsisMask(Long) - Method in class org.tensorflow.op.core.StridedSliceAssign.Options

ellipsisMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceGrad

ellipsisMask(Long) - Method in class org.tensorflow.op.core.StridedSliceGrad.Options

elu(Operand<T>) - Method in class org.tensorflow.op.NnOps

Adds an Elu operation to the graph

Elu<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes exponential linear: `exp(features) - 1` if < 0, `features` otherwise.

EluGrad<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes gradients for the exponential linear (Elu) operation.

empty(Operand<Integer>, Class<T>, Empty.Options...) - Method in class org.tensorflow.op.Ops

Adds an Empty operation to the graph

Empty<T> - Class in org.tensorflow.op.core

Creates a tensor with the given shape.

Empty.Options - Class in org.tensorflow.op.core

Optional attributes for Empty

emptyRowIndicator() - Method in class org.tensorflow.op.sparse.SparseFillEmptyRows

1-D.

emptyTensorList(Operand<T>, Operand<Integer>, Class<U>) - Method in class org.tensorflow.op.Ops

Adds an EmptyTensorList operation to the graph

EmptyTensorList - Class in org.tensorflow.op.core

Creates and returns an empty tensor list.

encodeBase64(Operand<String>, EncodeBase64.Options...) - Method in class org.tensorflow.op.IoOps

Adds an EncodeBase64 operation to the graph

EncodeBase64 - Class in org.tensorflow.op.io

Encode strings into web-safe base64 format.

EncodeBase64.Options - Class in org.tensorflow.op.io

Optional attributes for EncodeBase64

encodeJpeg(Operand<UInt8>, EncodeJpeg.Options...) - Method in class org.tensorflow.op.ImageOps

Adds an EncodeJpeg operation to the graph

EncodeJpeg - Class in org.tensorflow.op.image

JPEG-encode an image.

EncodeJpeg.Options - Class in org.tensorflow.op.image

Optional attributes for EncodeJpeg

encodePng(Operand<T>, EncodePng.Options...) - Method in class org.tensorflow.op.ImageOps

Adds an EncodePng operation to the graph

EncodePng - Class in org.tensorflow.op.image

PNG-encode an image.

EncodePng.Options - Class in org.tensorflow.op.image

Optional attributes for EncodePng

encodeProto(Operand<Integer>, Iterable<Operand<?>>, List<String>, String, EncodeProto.Options...) - Method in class org.tensorflow.op.Ops

Adds an EncodeProto operation to the graph

EncodeProto - Class in org.tensorflow.op.core

The op serializes protobuf messages provided in the input tensors.

EncodeProto.Options - Class in org.tensorflow.op.core

Optional attributes for EncodeProto

encodeWav(Operand<Float>, Operand<Integer>) - Method in class org.tensorflow.op.AudioOps

Adds an EncodeWav operation to the graph

EncodeWav - Class in org.tensorflow.op.audio

Encode audio data using the WAV file format.

encoding(String) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader

encoding(String) - Method in class org.tensorflow.op.io.FixedLengthRecordReader.Options

endMask(Long) - Static method in class org.tensorflow.op.core.ResourceStridedSliceAssign

endMask(Long) - Method in class org.tensorflow.op.core.ResourceStridedSliceAssign.Options

endMask(Long) - Static method in class org.tensorflow.op.core.StridedSlice

endMask(Long) - Method in class org.tensorflow.op.core.StridedSlice.Options

endMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceAssign

endMask(Long) - Method in class org.tensorflow.op.core.StridedSliceAssign.Options

endMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceGrad

endMask(Long) - Method in class org.tensorflow.op.core.StridedSliceGrad.Options

enqueueInQueueDataset(Operand<?>, Iterable<Operand<?>>) - Method in class org.tensorflow.op.DataOps

Adds an EnqueueInQueueDataset operation to the graph

EnqueueInQueueDataset - Class in org.tensorflow.op.data

ensureShape(Operand<T>, Shape) - Method in class org.tensorflow.op.Ops

Adds an EnsureShape operation to the graph

EnsureShape<T> - Class in org.tensorflow.op.core

Ensures that the tensor's shape matches the expected shape.

Enter<T> - Class in org.tensorflow.op.core

Creates or finds a child frame, and makes `data` available to the child frame.

Enter.Options - Class in org.tensorflow.op.core

Optional attributes for Enter

epsilon(Float) - Static method in class org.tensorflow.op.nn.FusedBatchNorm

epsilon(Float) - Method in class org.tensorflow.op.nn.FusedBatchNorm.Options

epsilon(Float) - Static method in class org.tensorflow.op.nn.FusedBatchNormGrad

epsilon(Float) - Method in class org.tensorflow.op.nn.FusedBatchNormGrad.Options

equal(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Equal operation to the graph

Equal - Class in org.tensorflow.op.math

Returns the truth value of (x == y) element-wise.

equals(Object) - Method in class org.tensorflow.op.PrimitiveOp

equals(Object) - Method in class org.tensorflow.Operation

equals(Object) - Method in class org.tensorflow.Output

equals(Object) - Method in class org.tensorflow.Shape

erf(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Erf operation to the graph

Erf<T extends java.lang.Number> - Class in org.tensorflow.op.math

Computes the Gauss error function of `x` element-wise.

erfc(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Erfc operation to the graph

Erfc<T extends java.lang.Number> - Class in org.tensorflow.op.math

Computes the complementary error function of `x` element-wise.

errorMsg(String) - Static method in class org.tensorflow.op.core.Abort

errorMsg(String) - Method in class org.tensorflow.op.core.Abort.Options

errors(String) - Static method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets

errors(String) - Method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Options

errors(String) - Static method in class org.tensorflow.op.strings.UnicodeTranscode

errors(String) - Method in class org.tensorflow.op.strings.UnicodeTranscode.Options

examples() - Method in class org.tensorflow.op.core.Skipgram

A vector of word ids.

examplesDebugOutputsSerialized() - Method in class org.tensorflow.op.core.BoostedTreesExampleDebugOutputs

Output rank 1 Tensor containing a proto serialized as a string for each example.

exclusive(Boolean) - Static method in class org.tensorflow.op.math.Cumprod

exclusive(Boolean) - Method in class org.tensorflow.op.math.Cumprod.Options

exclusive(Boolean) - Static method in class org.tensorflow.op.math.Cumsum

exclusive(Boolean) - Method in class org.tensorflow.op.math.Cumsum.Options

Exit<T> - Class in org.tensorflow.op.core

Exits the current frame to its parent frame.

exitWithoutError(Boolean) - Static method in class org.tensorflow.op.core.Abort

exitWithoutError(Boolean) - Method in class org.tensorflow.op.core.Abort.Options

exp(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Exp operation to the graph

Exp<T> - Class in org.tensorflow.op.math

Computes exponential of x element-wise.

expandDims(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an ExpandDims operation to the graph

ExpandDims<T> - Class in org.tensorflow.op.core

Inserts a dimension of 1 into a tensor's shape.

expect(Class<U>) - Method in class org.tensorflow.Tensor

Returns this Tensor object with the type Tensor<U>.

ExperimentalAssertNextDataset - Class in org.tensorflow.op.data

ExperimentalCsvDataset - Class in org.tensorflow.op.data

ExperimentalDirectedInterleaveDataset - Class in org.tensorflow.op.data

A substitute for `InterleaveDataset` on a fixed list of `N` datasets.

ExperimentalFunctionBufferingResourceGetNext - Class in org.tensorflow.op.data

Gets the next element from a FunctionBufferingResource.

ExperimentalFunctionBufferingResourceReset - Class in org.tensorflow.op.data

Resets the FunctionBufferingResource.

ExperimentalIdentityIndexedDataset - Class in org.tensorflow.op.data

ExperimentalIgnoreErrorsDataset - Class in org.tensorflow.op.data

Creates a dataset that contains the elements of `input_dataset` ignoring errors.

ExperimentalIndexedDatasetGet - Class in org.tensorflow.op.data

ExperimentalIndexedDatasetMaterialize - Class in org.tensorflow.op.data

ExperimentalIteratorGetDevice - Class in org.tensorflow.op.data

Returns the name of the device on which `resource` has been placed.

ExperimentalLmdbDataset - Class in org.tensorflow.op.data

ExperimentalMatchingFilesDataset - Class in org.tensorflow.op.core

ExperimentalMaterializedIndexDatasetHandle - Class in org.tensorflow.op.data

ExperimentalMaxIntraOpParallelismDataset - Class in org.tensorflow.op.core

Creates a dataset that overrides the maximum intra-op parallelism.

ExperimentalNonSerializableDataset - Class in org.tensorflow.op.data

ExperimentalPrivateThreadPoolDataset - Class in org.tensorflow.op.core

Creates a dataset that uses a custom thread pool to compute `input_dataset`.

ExperimentalSleepDataset - Class in org.tensorflow.op.data

ExperimentalThreadPoolDataset - Class in org.tensorflow.op.data

Creates a dataset that uses a custom thread pool to compute `input_dataset`.

ExperimentalThreadPoolHandle - Class in org.tensorflow.op.data

Creates a dataset that uses a custom thread pool to compute `input_dataset`.

ExperimentalThreadPoolHandle.Options - Class in org.tensorflow.op.data

Optional attributes for ExperimentalThreadPoolHandle

ExperimentalUniqueDataset - Class in org.tensorflow.op.data

Creates a dataset that contains the unique elements of `input_dataset`.

expm1(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Expm1 operation to the graph

Expm1<T> - Class in org.tensorflow.op.math

Computes exponential of x - 1 element-wise.

extractGlimpse(Operand<Float>, Operand<Integer>, Operand<Float>, ExtractGlimpse.Options...) - Method in class org.tensorflow.op.ImageOps

Adds an ExtractGlimpse operation to the graph

ExtractGlimpse - Class in org.tensorflow.op.image

Extracts a glimpse from the input tensor.

ExtractGlimpse.Options - Class in org.tensorflow.op.image

Optional attributes for ExtractGlimpse

extractImagePatches(Operand<T>, List<Long>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.ImageOps

Adds an ExtractImagePatches operation to the graph

ExtractImagePatches<T extends java.lang.Number> - Class in org.tensorflow.op.image

Extract `patches` from `images` and put them in the "depth" output dimension.

extractJpegShape(Operand<String>) - Method in class org.tensorflow.op.ImageOps

Adds an ExtractJpegShape operation to the graph

extractJpegShape(Operand<String>, Class<T>) - Method in class org.tensorflow.op.ImageOps

Adds an ExtractJpegShape operation to the graph

ExtractJpegShape<T extends java.lang.Number> - Class in org.tensorflow.op.image

Extract the shape information of a JPEG-encoded image.

extractVolumePatches(Operand<T>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.Ops

Adds an ExtractVolumePatches operation to the graph

ExtractVolumePatches<T extends java.lang.Number> - Class in org.tensorflow.op.core

Extract `patches` from `input` and put them in the "depth" output dimension.

extrapolationValue(Float) - Static method in class org.tensorflow.op.image.CropAndResize

extrapolationValue(Float) - Method in class org.tensorflow.op.image.CropAndResize.Options

F

fact() - Method in class org.tensorflow.op.math.Fact

fact() - Method in class org.tensorflow.op.MathOps

Adds an Fact operation to the graph

Fact - Class in org.tensorflow.op.math

Output a fact about factorials.

failFast(Boolean) - Static method in class org.tensorflow.op.core.Rpc

failFast(Boolean) - Method in class org.tensorflow.op.core.Rpc.Options

failFast(Boolean) - Static method in class org.tensorflow.op.core.TryRpc

failFast(Boolean) - Method in class org.tensorflow.op.core.TryRpc.Options

fakeQuantWithMinMaxArgs(Operand<Float>, FakeQuantWithMinMaxArgs.Options...) - Method in class org.tensorflow.op.QuantizationOps

Adds an FakeQuantWithMinMaxArgs operation to the graph

FakeQuantWithMinMaxArgs - Class in org.tensorflow.op.quantization

Fake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same type.

FakeQuantWithMinMaxArgs.Options - Class in org.tensorflow.op.quantization

Optional attributes for FakeQuantWithMinMaxArgs

fakeQuantWithMinMaxArgsGradient(Operand<Float>, Operand<Float>, FakeQuantWithMinMaxArgsGradient.Options...) - Method in class org.tensorflow.op.QuantizationOps

Adds an FakeQuantWithMinMaxArgsGradient operation to the graph

FakeQuantWithMinMaxArgsGradient - Class in org.tensorflow.op.quantization

Compute gradients for a FakeQuantWithMinMaxArgs operation.

FakeQuantWithMinMaxArgsGradient.Options - Class in org.tensorflow.op.quantization

Optional attributes for FakeQuantWithMinMaxArgsGradient

fakeQuantWithMinMaxVars(Operand<Float>, Operand<Float>, Operand<Float>, FakeQuantWithMinMaxVars.Options...) - Method in class org.tensorflow.op.QuantizationOps

Adds an FakeQuantWithMinMaxVars operation to the graph

FakeQuantWithMinMaxVars - Class in org.tensorflow.op.quantization

Fake-quantize the 'inputs' tensor of type float via global float scalars `min`

FakeQuantWithMinMaxVars.Options - Class in org.tensorflow.op.quantization

Optional attributes for FakeQuantWithMinMaxVars

fakeQuantWithMinMaxVarsGradient(Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, FakeQuantWithMinMaxVarsGradient.Options...) - Method in class org.tensorflow.op.QuantizationOps

Adds an FakeQuantWithMinMaxVarsGradient operation to the graph

FakeQuantWithMinMaxVarsGradient - Class in org.tensorflow.op.quantization

Compute gradients for a FakeQuantWithMinMaxVars operation.

FakeQuantWithMinMaxVarsGradient.Options - Class in org.tensorflow.op.quantization

Optional attributes for FakeQuantWithMinMaxVarsGradient

fakeQuantWithMinMaxVarsPerChannel(Operand<Float>, Operand<Float>, Operand<Float>, FakeQuantWithMinMaxVarsPerChannel.Options...) - Method in class org.tensorflow.op.QuantizationOps

Adds an FakeQuantWithMinMaxVarsPerChannel operation to the graph

FakeQuantWithMinMaxVarsPerChannel - Class in org.tensorflow.op.quantization

Fake-quantize the 'inputs' tensor of type float and one of the shapes: `[d]`,

FakeQuantWithMinMaxVarsPerChannel.Options - Class in org.tensorflow.op.quantization

Optional attributes for FakeQuantWithMinMaxVarsPerChannel

fakeQuantWithMinMaxVarsPerChannelGradient(Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, FakeQuantWithMinMaxVarsPerChannelGradient.Options...) - Method in class org.tensorflow.op.QuantizationOps

Adds an FakeQuantWithMinMaxVarsPerChannelGradient operation to the graph

FakeQuantWithMinMaxVarsPerChannelGradient - Class in org.tensorflow.op.quantization

Compute gradients for a FakeQuantWithMinMaxVarsPerChannel operation.

FakeQuantWithMinMaxVarsPerChannelGradient.Options - Class in org.tensorflow.op.quantization

Optional attributes for FakeQuantWithMinMaxVarsPerChannelGradient

fancyUpscaling(Boolean) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg

fancyUpscaling(Boolean) - Method in class org.tensorflow.op.image.DecodeAndCropJpeg.Options

fancyUpscaling(Boolean) - Static method in class org.tensorflow.op.image.DecodeJpeg

fancyUpscaling(Boolean) - Method in class org.tensorflow.op.image.DecodeJpeg.Options

fast(Boolean) - Static method in class org.tensorflow.op.linalg.BatchMatrixSolveLs

fast(Boolean) - Method in class org.tensorflow.op.linalg.BatchMatrixSolveLs.Options

fast(Boolean) - Static method in class org.tensorflow.op.linalg.MatrixSolveLs

fast(Boolean) - Method in class org.tensorflow.op.linalg.MatrixSolveLs.Options

featureListDenseLengths() - Method in class org.tensorflow.op.io.ParseSequenceExample

featureListDenseShapes(List<Shape>) - Static method in class org.tensorflow.op.io.ParseSequenceExample

featureListDenseShapes(List<Shape>) - Method in class org.tensorflow.op.io.ParseSequenceExample.Options

featureListDenseShapes(List<Shape>) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample

featureListDenseShapes(List<Shape>) - Method in class org.tensorflow.op.io.ParseSingleSequenceExample.Options

featureListDenseValues() - Method in class org.tensorflow.op.io.ParseSequenceExample

featureListDenseValues() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample

featureListSparseIndices() - Method in class org.tensorflow.op.io.ParseSequenceExample

featureListSparseIndices() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample

featureListSparseShapes() - Method in class org.tensorflow.op.io.ParseSequenceExample

featureListSparseShapes() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample

featureListSparseValues() - Method in class org.tensorflow.op.io.ParseSequenceExample

featureListSparseValues() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample

feed(String, int, Tensor<?>) - Method in class org.tensorflow.Session.Runner

Avoid evaluating the index-th output of operation by substituting t for the value it produces.

feed(String, Tensor<?>) - Method in class org.tensorflow.Session.Runner

Avoid evaluating operation and substitute t for the value it produces.

feed(Output<?>, Tensor<?>) - Method in class org.tensorflow.Session.Runner

Use t instead of the Tensor referred to by executing the operation referred to by output.

fetch(String) - Method in class org.tensorflow.Session.Runner

Make Session.Runner.run() return the output of operation.

fetch(String, int) - Method in class org.tensorflow.Session.Runner

Make Session.Runner.run() return the index-th output of operation.

fetch(Operand<?>) - Method in class org.tensorflow.Session.Runner

Makes Session.Runner.run() return the Tensor referred to by the output of operand.

fetch(Output<?>) - Method in class org.tensorflow.Session.Runner

Makes Session.Runner.run() return the Tensor referred to by output.

fft(Operand<T>) - Method in class org.tensorflow.op.SignalOps

Adds an Fft operation to the graph

Fft<T> - Class in org.tensorflow.op.signal

Fast Fourier transform.

fft2d(Operand<T>) - Method in class org.tensorflow.op.SignalOps

Adds an Fft2d operation to the graph

Fft2d<T> - Class in org.tensorflow.op.signal

2D fast Fourier transform.

fft3d(Operand<T>) - Method in class org.tensorflow.op.SignalOps

Adds an Fft3d operation to the graph

Fft3d<T> - Class in org.tensorflow.op.signal

3D fast Fourier transform.

fieldDelim(String) - Static method in class org.tensorflow.op.io.DecodeCsv

fieldDelim(String) - Method in class org.tensorflow.op.io.DecodeCsv.Options

fifoQueue(List<Class<?>>, FifoQueue.Options...) - Method in class org.tensorflow.op.IoOps

Adds an FifoQueue operation to the graph

FifoQueue - Class in org.tensorflow.op.io

A queue that produces elements in first-in first-out order.

FifoQueue.Options - Class in org.tensorflow.op.io

Optional attributes for FifoQueue

fileBufferSize(Long) - Static method in class org.tensorflow.op.random.RecordInput

fileBufferSize(Long) - Method in class org.tensorflow.op.random.RecordInput.Options

filename() - Method in class org.tensorflow.op.io.ShardedFilename

filename() - Method in class org.tensorflow.op.io.ShardedFilespec

filenames() - Method in class org.tensorflow.op.io.MatchingFiles

A vector of matching filenames.

fileParallelism(Long) - Static method in class org.tensorflow.op.random.RecordInput

fileParallelism(Long) - Method in class org.tensorflow.op.random.RecordInput.Options

fileRandomSeed(Long) - Static method in class org.tensorflow.op.random.RecordInput

fileRandomSeed(Long) - Method in class org.tensorflow.op.random.RecordInput.Options

fileShuffleShiftRatio(Float) - Static method in class org.tensorflow.op.random.RecordInput

fileShuffleShiftRatio(Float) - Method in class org.tensorflow.op.random.RecordInput.Options

fill(String) - Static method in class org.tensorflow.op.dtypes.AsString

fill(String) - Method in class org.tensorflow.op.dtypes.AsString.Options

fill(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an Fill operation to the graph

Fill<U> - Class in org.tensorflow.op.core

Creates a tensor filled with a scalar value.

filterBackprop() - Method in class org.tensorflow.op.nn.Dilation2dBackpropFilter

3-D with shape `[filter_height, filter_width, depth]`.

filterbankChannelCount(Long) - Static method in class org.tensorflow.op.audio.Mfcc

filterbankChannelCount(Long) - Method in class org.tensorflow.op.audio.Mfcc.Options

FilterByLastComponentDataset - Class in org.tensorflow.op.data

Creates a dataset containing elements of first component of `input_dataset` having true in the last component.

fixedLengthRecordDataset(Operand<String>, Operand<Long>, Operand<Long>, Operand<Long>, Operand<Long>, Operand<String>) - Method in class org.tensorflow.op.DataOps

Adds an FixedLengthRecordDataset operation to the graph

FixedLengthRecordDataset - Class in org.tensorflow.op.data

fixedLengthRecordReader(Long, FixedLengthRecordReader.Options...) - Method in class org.tensorflow.op.IoOps

Adds an FixedLengthRecordReader operation to the graph

FixedLengthRecordReader - Class in org.tensorflow.op.io

A Reader that outputs fixed-length records from a file.

FixedLengthRecordReader.Options - Class in org.tensorflow.op.io

Optional attributes for FixedLengthRecordReader

fixedUnigramCandidateSampler(Operand<Long>, Long, Long, Boolean, Long, FixedUnigramCandidateSampler.Options...) - Method in class org.tensorflow.op.NnOps

Adds an FixedUnigramCandidateSampler operation to the graph

FixedUnigramCandidateSampler - Class in org.tensorflow.op.nn

Generates labels for candidate sampling with a learned unigram distribution.

FixedUnigramCandidateSampler.Options - Class in org.tensorflow.op.nn

Optional attributes for FixedUnigramCandidateSampler

FLOAT - org.tensorflow.DataType

32-bit single precision floating point.

floatValue() - Method in class org.tensorflow.Tensor

Returns the value in a scalar Float tensor.

floatValue() - Method in class org.tensorflow.types.UInt8

floor(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Floor operation to the graph

Floor<T extends java.lang.Number> - Class in org.tensorflow.op.math

Returns element-wise largest integer not greater than x.

floorDiv(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an FloorDiv operation to the graph

FloorDiv<T> - Class in org.tensorflow.op.math

Returns x // y element-wise.

floorMod(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an FloorMod operation to the graph

FloorMod<T extends java.lang.Number> - Class in org.tensorflow.op.math

Returns element-wise remainder of division.

flow() - Method in class org.tensorflow.op.core.TensorArray

A scalar used to control gradient flow.

flowOut() - Method in class org.tensorflow.op.core.TensorArrayGrad

flowOut() - Method in class org.tensorflow.op.core.TensorArrayGradWithShape

flowOut() - Method in class org.tensorflow.op.core.TensorArrayScatter

A float scalar that enforces proper chaining of operations.

flowOut() - Method in class org.tensorflow.op.core.TensorArraySplit

A float scalar that enforces proper chaining of operations.

flowOut() - Method in class org.tensorflow.op.core.TensorArrayUnpack

flowOut() - Method in class org.tensorflow.op.core.TensorArrayWrite

A float scalar that enforces proper chaining of operations.

FlushSummaryWriter - Class in org.tensorflow.op.summary

footerBytes(Long) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader

footerBytes(Long) - Method in class org.tensorflow.op.io.FixedLengthRecordReader.Options

format(String) - Static method in class org.tensorflow.op.image.EncodeJpeg

format(String) - Method in class org.tensorflow.op.image.EncodeJpeg.Options

fractionalAvgPool(Operand<T>, List<Float>, FractionalAvgPool.Options...) - Method in class org.tensorflow.op.NnOps

Adds an FractionalAvgPool operation to the graph

FractionalAvgPool<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Performs fractional average pooling on the input.

FractionalAvgPool.Options - Class in org.tensorflow.op.nn

Optional attributes for FractionalAvgPool

FractionalAvgPoolGrad<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes gradient of the FractionalAvgPool function.

FractionalAvgPoolGrad.Options - Class in org.tensorflow.op.nn

Optional attributes for FractionalAvgPoolGrad

fractionalMaxPool(Operand<T>, List<Float>, FractionalMaxPool.Options...) - Method in class org.tensorflow.op.NnOps

Adds an FractionalMaxPool operation to the graph

FractionalMaxPool<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Performs fractional max pooling on the input.

FractionalMaxPool.Options - Class in org.tensorflow.op.nn

Optional attributes for FractionalMaxPool

FractionalMaxPoolGrad<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes gradient of the FractionalMaxPool function.

FractionalMaxPoolGrad.Options - Class in org.tensorflow.op.nn

Optional attributes for FractionalMaxPoolGrad

fromClass(Class<?>) - Static method in enum org.tensorflow.DataType

Returns the DataType of a Tensor whose elements have the type specified by class c.

fullMatrices(Boolean) - Static method in class org.tensorflow.op.linalg.BatchSvd

fullMatrices(Boolean) - Method in class org.tensorflow.op.linalg.BatchSvd.Options

fullMatrices(Boolean) - Static method in class org.tensorflow.op.linalg.Qr

fullMatrices(Boolean) - Method in class org.tensorflow.op.linalg.Qr.Options

fullMatrices(Boolean) - Static method in class org.tensorflow.op.linalg.Svd

fullMatrices(Boolean) - Method in class org.tensorflow.op.linalg.Svd.Options

fusedBatchNorm(Operand<T>, Operand<U>, Operand<U>, Operand<U>, Operand<U>, FusedBatchNorm.Options...) - Method in class org.tensorflow.op.NnOps

Adds an FusedBatchNorm operation to the graph

FusedBatchNorm<T extends java.lang.Number,U extends java.lang.Number> - Class in org.tensorflow.op.nn

Batch normalization.

FusedBatchNorm.Options - Class in org.tensorflow.op.nn

Optional attributes for FusedBatchNorm

fusedBatchNormGrad(Operand<T>, Operand<T>, Operand<Float>, Operand<U>, Operand<U>, FusedBatchNormGrad.Options...) - Method in class org.tensorflow.op.NnOps

Adds an FusedBatchNormGrad operation to the graph

FusedBatchNormGrad<T extends java.lang.Number,U extends java.lang.Number> - Class in org.tensorflow.op.nn

Gradient for batch normalization.

FusedBatchNormGrad.Options - Class in org.tensorflow.op.nn

Optional attributes for FusedBatchNormGrad

fusedPadConv2d(Operand<T>, Operand<Integer>, Operand<T>, String, List<Long>, String) - Method in class org.tensorflow.op.NnOps

Adds an FusedPadConv2d operation to the graph

FusedPadConv2d<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Performs a padding as a preprocess during a convolution.

fusedResizeAndPadConv2d(Operand<T>, Operand<Integer>, Operand<Integer>, Operand<T>, String, List<Long>, String, FusedResizeAndPadConv2d.Options...) - Method in class org.tensorflow.op.NnOps

Adds an FusedResizeAndPadConv2d operation to the graph

FusedResizeAndPadConv2d<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Performs a resize and padding as a preprocess during a convolution.

FusedResizeAndPadConv2d.Options - Class in org.tensorflow.op.nn

Optional attributes for FusedResizeAndPadConv2d

G

gainsList() - Method in class org.tensorflow.op.core.BoostedTreesCalculateBestGainsPerFeature

An output list of Rank 1 tensors indicating the best gains for each feature to split for certain nodes.

gather(Operand<T>, Operand<U>, Operand<V>) - Method in class org.tensorflow.op.Ops

Adds an Gather operation to the graph

Gather<T> - Class in org.tensorflow.op.core

Gather slices from `params` axis `axis` according to `indices`.

gatherNd(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an GatherNd operation to the graph

GatherNd<T> - Class in org.tensorflow.op.core

Gather slices from `params` into a Tensor with shape specified by `indices`.

gcsConfigureBlockCache(Operand<?>, Operand<?>, Operand<?>) - Method in class org.tensorflow.op.Ops

Adds an GcsConfigureBlockCache operation to the graph

GcsConfigureBlockCache - Class in org.tensorflow.op.core

Re-configures the GCS block cache with the new configuration values.

gcsConfigureCredentials(Operand<String>) - Method in class org.tensorflow.op.Ops

Adds an GcsConfigureCredentials operation to the graph

GcsConfigureCredentials - Class in org.tensorflow.op.core

Configures the credentials used by the GCS client of the local TF runtime.

generateBigQueryReaderPartitions(String, String, String, List<String>, Long, Long, GenerateBigQueryReaderPartitions.Options...) - Method in class org.tensorflow.op.Ops

Adds an GenerateBigQueryReaderPartitions operation to the graph

GenerateBigQueryReaderPartitions - Class in org.tensorflow.op.core

Generates serialized partition messages suitable for batch reads.

GenerateBigQueryReaderPartitions.Options - Class in org.tensorflow.op.core

Optional attributes for GenerateBigQueryReaderPartitions

generateQuantiles(Boolean) - Static method in class org.tensorflow.op.core.BoostedTreesQuantileStreamResourceFlush

generateQuantiles(Boolean) - Method in class org.tensorflow.op.core.BoostedTreesQuantileStreamResourceFlush.Options

generateVocabRemapping(Operand<String>, Operand<String>, Long, Long, GenerateVocabRemapping.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an GenerateVocabRemapping operation to the graph

GenerateVocabRemapping - Class in org.tensorflow.op.train

Given a path to new and old vocabulary files, returns a remapping Tensor of

GenerateVocabRemapping.Options - Class in org.tensorflow.op.train

Optional attributes for GenerateVocabRemapping

getSessionHandle(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an GetSessionHandle operation to the graph

GetSessionHandle - Class in org.tensorflow.op.core

Store the input tensor in the state of the current session.

getSessionTensor(Operand<String>, Class<T>) - Method in class org.tensorflow.op.Ops

Adds an GetSessionTensor operation to the graph

GetSessionTensor<T> - Class in org.tensorflow.op.core

Get the value of the tensor specified by its handle.

givenYMax(Float) - Static method in class org.tensorflow.op.nn.QuantizedInstanceNorm

givenYMax(Float) - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm.Options

givenYMin(Float) - Static method in class org.tensorflow.op.nn.QuantizedInstanceNorm

givenYMin(Float) - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm.Options

glimpse() - Method in class org.tensorflow.op.image.ExtractGlimpse

A tensor representing the glimpses `[batch_size, glimpse_height, glimpse_width, channels]`.

gradHandle() - Method in class org.tensorflow.op.core.TensorArrayGrad

gradHandle() - Method in class org.tensorflow.op.core.TensorArrayGradWithShape

gradient() - Method in class org.tensorflow.op.nn.CtcLoss

The gradient of `loss`.

gradients(Iterable<? extends Operand<?>>, Iterable<? extends Operand<?>>, Gradients.Options...) - Method in class org.tensorflow.op.Ops

Adds an Gradients operation to the graph

gradients(Operand<?>, Iterable<? extends Operand<?>>, Gradients.Options...) - Method in class org.tensorflow.op.Ops

Adds an Gradients operation to the graph

Gradients - Class in org.tensorflow.op.core

Adds operations to compute the partial derivatives of sum of ys w.r.t xs, i.e., d(y_1 + y_2 + ...)/dx_1, d(y_1 + y_2 + ...)/dx_2...

Gradients.Options - Class in org.tensorflow.op.core

Optional attributes for Gradients

graph() - Method in class org.tensorflow.op.data.DatasetToGraph

The graph representation of the dataset (as serialized GraphDef).

graph() - Method in class org.tensorflow.op.Scope

Returns the graph managed by this scope.

graph() - Method in class org.tensorflow.SavedModelBundle

Returns the graph that describes the computation performed by the model.

Graph - Class in org.tensorflow

A data flow graph representing a TensorFlow computation.

Graph() - Constructor for class org.tensorflow.Graph

Create an empty Graph.

greater(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Greater operation to the graph

Greater - Class in org.tensorflow.op.math

Returns the truth value of (x > y) element-wise.

greaterEqual(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an GreaterEqual operation to the graph

GreaterEqual - Class in org.tensorflow.op.math

Returns the truth value of (x >= y) element-wise.

group() - Method in annotation type org.tensorflow.op.annotation.Operator

Specify an optional group within the Ops class.

guaranteeConst(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an GuaranteeConst operation to the graph

GuaranteeConst<T> - Class in org.tensorflow.op.core

Gives a guarantee to the TF runtime that the input tensor is a constant.

H

handle() - Method in class org.tensorflow.op.core.Barrier

The handle to the barrier.

handle() - Method in class org.tensorflow.op.core.EmptyTensorList

handle() - Method in class org.tensorflow.op.core.ExperimentalMatchingFilesDataset

handle() - Method in class org.tensorflow.op.core.ExperimentalMaxIntraOpParallelismDataset

handle() - Method in class org.tensorflow.op.core.ExperimentalPrivateThreadPoolDataset

handle() - Method in class org.tensorflow.op.core.GetSessionHandle

The handle for the tensor stored in the session state, represented as a ResourceHandle object.

handle() - Method in class org.tensorflow.op.core.TensorArray

The handle to the TensorArray.

handle() - Method in class org.tensorflow.op.core.TensorListReserve

handle() - Method in class org.tensorflow.op.data.AnonymousIterator

A handle to the iterator that can be passed to a "MakeIterator" or "IteratorGetNext" op.

handle() - Method in class org.tensorflow.op.data.BatchDataset

handle() - Method in class org.tensorflow.op.data.BytesProducedStatsDataset

handle() - Method in class org.tensorflow.op.data.CacheDataset

handle() - Method in class org.tensorflow.op.data.ConcatenateDataset

handle() - Method in class org.tensorflow.op.data.DenseToSparseBatchDataset

handle() - Method in class org.tensorflow.op.data.ExperimentalAssertNextDataset

handle() - Method in class org.tensorflow.op.data.ExperimentalCsvDataset

handle() - Method in class org.tensorflow.op.data.ExperimentalDirectedInterleaveDataset

handle() - Method in class org.tensorflow.op.data.ExperimentalIdentityIndexedDataset

handle() - Method in class org.tensorflow.op.data.ExperimentalIgnoreErrorsDataset

handle() - Method in class org.tensorflow.op.data.ExperimentalLmdbDataset

handle() - Method in class org.tensorflow.op.data.ExperimentalMaterializedIndexDatasetHandle

handle() - Method in class org.tensorflow.op.data.ExperimentalNonSerializableDataset

handle() - Method in class org.tensorflow.op.data.ExperimentalSleepDataset

handle() - Method in class org.tensorflow.op.data.ExperimentalThreadPoolDataset

handle() - Method in class org.tensorflow.op.data.ExperimentalThreadPoolHandle

A resource that can be consumed by one or more ExperimentalThreadPoolDataset ops.

handle() - Method in class org.tensorflow.op.data.ExperimentalUniqueDataset

handle() - Method in class org.tensorflow.op.data.FixedLengthRecordDataset

handle() - Method in class org.tensorflow.op.data.Iterator

handle() - Method in class org.tensorflow.op.data.LatencyStatsDataset

handle() - Method in class org.tensorflow.op.data.ModelDataset

handle() - Method in class org.tensorflow.op.data.MultiDeviceIterator

Handle to the resource created.

handle() - Method in class org.tensorflow.op.data.OptimizeDataset

handle() - Method in class org.tensorflow.op.data.PaddedBatchDataset

handle() - Method in class org.tensorflow.op.data.ParseExampleDataset

handle() - Method in class org.tensorflow.op.data.PrefetchDataset

handle() - Method in class org.tensorflow.op.data.PrependFromQueueAndPaddedBatchDataset

handle() - Method in class org.tensorflow.op.data.RandomDataset

handle() - Method in class org.tensorflow.op.data.RangeDataset

handle() - Method in class org.tensorflow.op.data.RepeatDataset

handle() - Method in class org.tensorflow.op.data.SetStatsAggregatorDataset

handle() - Method in class org.tensorflow.op.data.ShuffleAndRepeatDataset

handle() - Method in class org.tensorflow.op.data.ShuffleDataset

handle() - Method in class org.tensorflow.op.data.SkipDataset

handle() - Method in class org.tensorflow.op.data.SlideDataset

handle() - Method in class org.tensorflow.op.data.SparseTensorSliceDataset

handle() - Method in class org.tensorflow.op.data.SqlDataset

handle() - Method in class org.tensorflow.op.data.StatsAggregatorHandle

handle() - Method in class org.tensorflow.op.data.TakeDataset

handle() - Method in class org.tensorflow.op.data.TensorDataset

handle() - Method in class org.tensorflow.op.data.TensorSliceDataset

handle() - Method in class org.tensorflow.op.data.TextLineDataset

handle() - Method in class org.tensorflow.op.data.TfRecordDataset

handle() - Method in class org.tensorflow.op.data.UnbatchDataset

handle() - Method in class org.tensorflow.op.data.WindowDataset

handle() - Method in class org.tensorflow.op.data.ZipDataset

handle() - Method in class org.tensorflow.op.io.FifoQueue

The handle to the queue.

handle() - Method in class org.tensorflow.op.io.PaddingFifoQueue

The handle to the queue.

handle() - Method in class org.tensorflow.op.io.PriorityQueue

The handle to the queue.

handle() - Method in class org.tensorflow.op.io.RandomShuffleQueue

The handle to the queue.

handle() - Method in class org.tensorflow.op.sparse.SparseConditionalAccumulator

The handle to the accumulator.

handle() - Method in class org.tensorflow.op.train.ConditionalAccumulator

The handle to the accumulator.

hashCode() - Method in class org.tensorflow.op.PrimitiveOp

hashCode() - Method in class org.tensorflow.Operation

hashCode() - Method in class org.tensorflow.Output

hashCode() - Method in class org.tensorflow.Shape

hashTable(Class<T>, Class<U>, HashTable.Options...) - Method in class org.tensorflow.op.Ops

Adds an HashTable operation to the graph

HashTable - Class in org.tensorflow.op.core

Creates a non-initialized hash table.

HashTable.Options - Class in org.tensorflow.op.core

Optional attributes for HashTable

hasValue() - Method in class org.tensorflow.op.data.OptionalHasValue

headerBytes(Long) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader

headerBytes(Long) - Method in class org.tensorflow.op.io.FixedLengthRecordReader.Options

histogramFixedWidth(Operand<T>, Operand<T>, Operand<Integer>) - Method in class org.tensorflow.op.Ops

Adds an HistogramFixedWidth operation to the graph

histogramFixedWidth(Operand<T>, Operand<T>, Operand<Integer>, Class<U>) - Method in class org.tensorflow.op.Ops

Adds an HistogramFixedWidth operation to the graph

HistogramFixedWidth<U extends java.lang.Number> - Class in org.tensorflow.op.core

Return histogram of values.

histogramSummary(Operand<String>, Operand<T>) - Method in class org.tensorflow.op.SummaryOps

Adds an HistogramSummary operation to the graph

HistogramSummary - Class in org.tensorflow.op.summary

Outputs a `Summary` protocol buffer with a histogram.

hopBytes(Long) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader

hopBytes(Long) - Method in class org.tensorflow.op.io.FixedLengthRecordReader.Options

hostReserved() - Method in class org.tensorflow.op.nn.CudnnRnn

hsvToRgb(Operand<T>) - Method in class org.tensorflow.op.ImageOps

Adds an HsvToRgb operation to the graph

HsvToRgb<T extends java.lang.Number> - Class in org.tensorflow.op.image

Convert one or more images from HSV to RGB.

I

id() - Method in class org.tensorflow.op.core.Batch

identicalElementShapes(Boolean) - Static method in class org.tensorflow.op.core.TensorArray

identicalElementShapes(Boolean) - Method in class org.tensorflow.op.core.TensorArray.Options

identity(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Identity operation to the graph

Identity<T> - Class in org.tensorflow.op.core

Return a tensor with the same shape and contents as the input tensor or value.

identityN(Iterable<Operand<?>>) - Method in class org.tensorflow.op.Ops

Adds an IdentityN operation to the graph

IdentityN - Class in org.tensorflow.op.core

Returns a list of tensors with the same shapes and contents as the input

identityReader(IdentityReader.Options...) - Method in class org.tensorflow.op.IoOps

Adds an IdentityReader operation to the graph

IdentityReader - Class in org.tensorflow.op.io

A Reader that outputs the queued work as both the key and value.

IdentityReader.Options - Class in org.tensorflow.op.io

Optional attributes for IdentityReader

ids() - Method in class org.tensorflow.op.nn.ComputeAccidentalHits

A vector of IDs of positions in sampled_candidates that match a true_label for the row with the corresponding index in indices.

idx() - Method in class org.tensorflow.op.core.SetDiff1d

1-D.

idx() - Method in class org.tensorflow.op.core.Unique

A 1-D Tensor.

idx() - Method in class org.tensorflow.op.core.UniqueWithCounts

A 1-D Tensor.

ifft(Operand<T>) - Method in class org.tensorflow.op.SignalOps

Adds an Ifft operation to the graph

Ifft<T> - Class in org.tensorflow.op.signal

Inverse fast Fourier transform.

ifft2d(Operand<T>) - Method in class org.tensorflow.op.SignalOps

Adds an Ifft2d operation to the graph

Ifft2d<T> - Class in org.tensorflow.op.signal

Inverse 2D fast Fourier transform.

ifft3d(Operand<T>) - Method in class org.tensorflow.op.SignalOps

Adds an Ifft3d operation to the graph

Ifft3d<T> - Class in org.tensorflow.op.signal

Inverse 3D fast Fourier transform.

igamma(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Igamma operation to the graph

Igamma<T extends java.lang.Number> - Class in org.tensorflow.op.math

Compute the lower regularized incomplete Gamma function `P(a, x)`.

igammac(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Igammac operation to the graph

Igammac<T extends java.lang.Number> - Class in org.tensorflow.op.math

Compute the upper regularized incomplete Gamma function `Q(a, x)`.

IgammaGradA<T extends java.lang.Number> - Class in org.tensorflow.op.math

Computes the gradient of `igamma(a, x)` wrt `a`.

ignoreLongerOutputsThanInputs(Boolean) - Static method in class org.tensorflow.op.nn.CtcLoss

ignoreLongerOutputsThanInputs(Boolean) - Method in class org.tensorflow.op.nn.CtcLoss.Options

ignoreLookupError(Boolean) - Static method in class org.tensorflow.op.core.DestroyResourceOp

ignoreLookupError(Boolean) - Method in class org.tensorflow.op.core.DestroyResourceOp.Options

imag(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Imag operation to the graph

imag(Operand<T>, Class<U>) - Method in class org.tensorflow.op.MathOps

Adds an Imag operation to the graph

Imag<U extends java.lang.Number> - Class in org.tensorflow.op.math

Returns the imaginary part of a complex number.

image - Variable in class org.tensorflow.op.Ops

image() - Method in class org.tensorflow.op.image.DecodeAndCropJpeg

3-D with shape `[height, width, channels]`..

image() - Method in class org.tensorflow.op.image.DecodeBmp

3-D with shape `[height, width, channels]`.

image() - Method in class org.tensorflow.op.image.DecodeGif

4-D with shape `[num_frames, height, width, 3]`.

image() - Method in class org.tensorflow.op.image.DecodeJpeg

3-D with shape `[height, width, channels]`..

image() - Method in class org.tensorflow.op.image.DecodePng

3-D with shape `[height, width, channels]`.

image() - Method in class org.tensorflow.op.Ops

Returns an API for adding image operations to the graph

ImageOps - Class in org.tensorflow.op

An API for adding image operations to a Graph

imageShape() - Method in class org.tensorflow.op.image.ExtractJpegShape

1-D.

imageSummary(Operand<String>, Operand<T>, ImageSummary.Options...) - Method in class org.tensorflow.op.SummaryOps

Adds an ImageSummary operation to the graph

ImageSummary - Class in org.tensorflow.op.summary

Outputs a `Summary` protocol buffer with images.

ImageSummary.Options - Class in org.tensorflow.op.summary

Optional attributes for ImageSummary

immutableConst(Class<T>, Shape, String) - Method in class org.tensorflow.op.Ops

Adds an ImmutableConst operation to the graph

ImmutableConst<T> - Class in org.tensorflow.op.core

Returns immutable tensor from memory region.

ImportEvent - Class in org.tensorflow.op.summary

importGraphDef(byte[]) - Method in class org.tensorflow.Graph

Import a serialized representation of a TensorFlow graph.

importGraphDef(byte[], String) - Method in class org.tensorflow.Graph

Import a serialized representation of a TensorFlow graph.

inBackprop() - Method in class org.tensorflow.op.nn.Dilation2dBackpropInput

4-D with shape `[batch, in_height, in_width, depth]`.

incarnationId() - Method in class org.tensorflow.op.data.MultiDeviceIteratorInit

An int64 indicating which incarnation of the MultiDeviceIterator is running.

index() - Method in class org.tensorflow.op.core.Where

index() - Method in class org.tensorflow.Output

Returns the index into the outputs of the Operation.

indices() - Method in class org.tensorflow.op.core.BarrierTakeMany

A one-dimensional tensor of indices, with length num_elems.

indices() - Method in class org.tensorflow.op.nn.ComputeAccidentalHits

A vector of indices corresponding to rows of true_candidates.

indices() - Method in class org.tensorflow.op.nn.TopK

The indices of `values` within the last dimension of `input`.

indices() - Method in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient

Indices of the average of the accumulated sparse gradients.

indices() - Method in class org.tensorflow.op.strings.StringSplit

init(Boolean) - Static method in class org.tensorflow.op.core.Empty

init(Boolean) - Method in class org.tensorflow.op.core.Empty.Options

initializeTable(Operand<?>, Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an InitializeTable operation to the graph

InitializeTable - Class in org.tensorflow.op.core

Table initializer that takes two tensors for keys and values respectively.

initializeTableFromTextFile(Operand<?>, Operand<String>, Long, Long, InitializeTableFromTextFile.Options...) - Method in class org.tensorflow.op.Ops

Adds an InitializeTableFromTextFile operation to the graph

InitializeTableFromTextFile - Class in org.tensorflow.op.core

Initializes a table from a text file.

InitializeTableFromTextFile.Options - Class in org.tensorflow.op.core

Optional attributes for InitializeTableFromTextFile

initialNumBuckets(Long) - Static method in class org.tensorflow.op.core.MutableDenseHashTable

initialNumBuckets(Long) - Method in class org.tensorflow.op.core.MutableDenseHashTable.Options

inplaceAdd(Operand<T>, Operand<Integer>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an InplaceAdd operation to the graph

InplaceAdd<T> - Class in org.tensorflow.op.core

Adds v into specified rows of x.

inplaceSub(Operand<T>, Operand<Integer>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an InplaceSub operation to the graph

InplaceSub<T> - Class in org.tensorflow.op.core

Subtracts `v` into specified rows of `x`.

inplaceUpdate(Operand<T>, Operand<Integer>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an InplaceUpdate operation to the graph

InplaceUpdate<T> - Class in org.tensorflow.op.core

Updates specified rows with values in `v`.

inputBackprop() - Method in class org.tensorflow.op.nn.CudnnRnnBackprop

inputCBackprop() - Method in class org.tensorflow.op.nn.CudnnRnnBackprop

inputHBackprop() - Method in class org.tensorflow.op.nn.CudnnRnnBackprop

inputListLength(String) - Method in class org.tensorflow.Operation

Returns the size of the given inputs list of Tensors for this operation.

inputMode(String) - Static method in class org.tensorflow.op.nn.CudnnRnn

inputMode(String) - Method in class org.tensorflow.op.nn.CudnnRnn.Options

inputMode(String) - Static method in class org.tensorflow.op.nn.CudnnRnnBackprop

inputMode(String) - Method in class org.tensorflow.op.nn.CudnnRnnBackprop.Options

inputMode(String) - Static method in class org.tensorflow.op.nn.CudnnRnnCanonicalToParams

inputMode(String) - Method in class org.tensorflow.op.nn.CudnnRnnCanonicalToParams.Options

inputMode(String) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize

inputMode(String) - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize.Options

inputMode(String) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsToCanonical

inputMode(String) - Method in class org.tensorflow.op.nn.CudnnRnnParamsToCanonical.Options

INT32 - org.tensorflow.DataType

32-bit signed integer.

INT64 - org.tensorflow.DataType

64-bit signed integer.

inTopK(Operand<Float>, Operand<T>, Operand<T>) - Method in class org.tensorflow.op.NnOps

Adds an InTopK operation to the graph

InTopK - Class in org.tensorflow.op.nn

Says whether the targets are in the top `K` predictions.

intValue() - Method in class org.tensorflow.Tensor

Returns the value in a scalar Integer tensor.

intValue() - Method in class org.tensorflow.types.UInt8

inv(Operand<T>, Inv.Options...) - Method in class org.tensorflow.op.LinalgOps

Adds an Inv operation to the graph

Inv<T> - Class in org.tensorflow.op.linalg

Computes the inverse of one or more square invertible matrices or their

Inv.Options - Class in org.tensorflow.op.linalg

Optional attributes for Inv

invert(Operand<T>) - Method in class org.tensorflow.op.BitwiseOps

Adds an Invert operation to the graph

Invert<T extends java.lang.Number> - Class in org.tensorflow.op.bitwise

Flips all bits elementwise.

invertPermutation(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an InvertPermutation operation to the graph

InvertPermutation<T extends java.lang.Number> - Class in org.tensorflow.op.math

Computes the inverse permutation of a tensor.

InvGrad<T> - Class in org.tensorflow.op.nn

Computes the gradient for the inverse of `x` wrt its input.

io - Variable in class org.tensorflow.op.Ops

io() - Method in class org.tensorflow.op.Ops

Returns an API for adding io operations to the graph

IoOps - Class in org.tensorflow.op

An API for adding io operations to a Graph

irfft(Operand<?>, Operand<Integer>) - Method in class org.tensorflow.op.SignalOps

Adds an Irfft operation to the graph

Irfft - Class in org.tensorflow.op.signal

Inverse real-valued fast Fourier transform.

irfft2d(Operand<?>, Operand<Integer>) - Method in class org.tensorflow.op.SignalOps

Adds an Irfft2d operation to the graph

Irfft2d - Class in org.tensorflow.op.signal

Inverse 2D real-valued fast Fourier transform.

irfft3d(Operand<?>, Operand<Integer>) - Method in class org.tensorflow.op.SignalOps

Adds an Irfft3d operation to the graph

Irfft3d - Class in org.tensorflow.op.signal

Inverse 3D real-valued fast Fourier transform.

IsBoostedTreesEnsembleInitialized - Class in org.tensorflow.op.core

Checks whether a tree ensemble has been initialized.

IsBoostedTreesQuantileStreamResourceInitialized - Class in org.tensorflow.op.core

Checks whether a quantile stream has been initialized.

isClosed() - Method in class org.tensorflow.op.io.QueueIsClosed

isConstant(Boolean) - Static method in class org.tensorflow.op.core.Enter

isConstant(Boolean) - Method in class org.tensorflow.op.core.Enter.Options

isConstant(Boolean) - Static method in class org.tensorflow.op.core.RefEnter

isConstant(Boolean) - Method in class org.tensorflow.op.core.RefEnter.Options

isFinite(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an IsFinite operation to the graph

IsFinite - Class in org.tensorflow.op.math

Returns which elements of x are finite.

isInf(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an IsInf operation to the graph

IsInf - Class in org.tensorflow.op.math

Returns which elements of x are Inf.

isInitialized() - Method in class org.tensorflow.op.core.IsBoostedTreesEnsembleInitialized

output boolean on whether it is initialized or not.

isInitialized() - Method in class org.tensorflow.op.core.IsBoostedTreesQuantileStreamResourceInitialized

bool; True if the resource is initialized, False otherwise.

isInitialized() - Method in class org.tensorflow.op.core.IsVariableInitialized

isInitialized() - Method in class org.tensorflow.op.core.TensorForestTreeIsInitializedOp

Whether the tree is initialized.

isInitialized() - Method in class org.tensorflow.op.core.VarIsInitializedOp

a scalar boolean which is true if the variable has been initialized.

isNan(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an IsNan operation to the graph

IsNan - Class in org.tensorflow.op.math

Returns which elements of x are NaN.

isTraining(Boolean) - Static method in class org.tensorflow.op.nn.CudnnRnn

isTraining(Boolean) - Method in class org.tensorflow.op.nn.CudnnRnn.Options

isTraining(Boolean) - Static method in class org.tensorflow.op.nn.FusedBatchNorm

isTraining(Boolean) - Method in class org.tensorflow.op.nn.FusedBatchNorm.Options

isTraining(Boolean) - Static method in class org.tensorflow.op.nn.FusedBatchNormGrad

isTraining(Boolean) - Method in class org.tensorflow.op.nn.FusedBatchNormGrad.Options

isVariableInitialized(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an IsVariableInitialized operation to the graph

IsVariableInitialized - Class in org.tensorflow.op.core

Checks whether a tensor has been initialized.

item() - Method in class org.tensorflow.op.core.TensorListGetItem

iterator() - Method in class org.tensorflow.op.core.BoostedTreesBucketize

iterator() - Method in class org.tensorflow.op.core.BoostedTreesMakeQuantileSummaries

iterator() - Method in class org.tensorflow.op.core.BoostedTreesQuantileStreamResourceGetBucketBoundaries

iterator() - Method in class org.tensorflow.op.core.DynamicPartition

iterator() - Method in class org.tensorflow.op.core.Gradients

iterator() - Method in class org.tensorflow.op.core.IdentityN

iterator() - Method in class org.tensorflow.op.core.MapPeek

iterator() - Method in class org.tensorflow.op.core.MapUnstage

iterator() - Method in class org.tensorflow.op.core.OrderedMapPeek

iterator() - Method in class org.tensorflow.op.core.OrderedMapUnstage

iterator() - Method in class org.tensorflow.op.core.RemoteFusedGraphExecute

iterator() - Method in class org.tensorflow.op.core.ShapeN

iterator() - Method in class org.tensorflow.op.core.Split

iterator() - Method in class org.tensorflow.op.core.SplitV

iterator() - Method in class org.tensorflow.op.core.StagePeek

iterator() - Method in class org.tensorflow.op.core.Unstack

iterator() - Method in class org.tensorflow.op.core.Unstage

iterator() - Method in class org.tensorflow.op.data.DatasetToSingleElement

iterator() - Method in class org.tensorflow.op.data.ExperimentalFunctionBufferingResourceGetNext

iterator() - Method in class org.tensorflow.op.data.ExperimentalIndexedDatasetGet

iterator() - Method in class org.tensorflow.op.data.IteratorGetNext

iterator() - Method in class org.tensorflow.op.data.IteratorGetNextSync

iterator() - Method in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard

iterator() - Method in class org.tensorflow.op.data.OptionalGetValue

iterator() - Method in class org.tensorflow.op.io.DecodeCsv

iterator() - Method in class org.tensorflow.op.io.QueueDequeue

iterator() - Method in class org.tensorflow.op.io.QueueDequeueMany

iterator() - Method in class org.tensorflow.op.io.QueueDequeueUpTo

iterator() - Method in class org.tensorflow.op.train.Restore

Iterator - Class in org.tensorflow.op.data

IteratorFromStringHandle - Class in org.tensorflow.op.data

IteratorFromStringHandle.Options - Class in org.tensorflow.op.data

Optional attributes for IteratorFromStringHandle

iteratorGetNext(Operand<?>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.DataOps

Adds an IteratorGetNext operation to the graph

IteratorGetNext - Class in org.tensorflow.op.data

Gets the next output from the given iterator .

iteratorGetNextAsOptional(Operand<?>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.DataOps

Adds an IteratorGetNextAsOptional operation to the graph

IteratorGetNextAsOptional - Class in org.tensorflow.op.data

Gets the next output from the given iterator as an Optional variant.

iteratorGetNextSync(Operand<?>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.DataOps

Adds an IteratorGetNextSync operation to the graph

IteratorGetNextSync - Class in org.tensorflow.op.data

Gets the next output from the given iterator.

iteratorToStringHandle(Operand<?>) - Method in class org.tensorflow.op.DataOps

Adds an IteratorToStringHandle operation to the graph

IteratorToStringHandle - Class in org.tensorflow.op.data

Converts the given `resource_handle` representing an iterator to a string.

J

join() - Method in class org.tensorflow.Server

Blocks until the server has been successfully stopped.

join(Iterable<Operand<String>>, Join.Options...) - Method in class org.tensorflow.op.StringsOps

Adds an Join operation to the graph

Join - Class in org.tensorflow.op.strings

Joins the strings in the given list of string tensors into one tensor;

Join.Options - Class in org.tensorflow.op.strings

Optional attributes for Join

K

keepDims(Boolean) - Static method in class org.tensorflow.op.core.All

keepDims(Boolean) - Method in class org.tensorflow.op.core.All.Options

keepDims(Boolean) - Static method in class org.tensorflow.op.core.Any

keepDims(Boolean) - Method in class org.tensorflow.op.core.Any.Options

keepDims(Boolean) - Static method in class org.tensorflow.op.core.Max

keepDims(Boolean) - Method in class org.tensorflow.op.core.Max.Options

keepDims(Boolean) - Static method in class org.tensorflow.op.core.Min

keepDims(Boolean) - Method in class org.tensorflow.op.core.Min.Options

keepDims(Boolean) - Static method in class org.tensorflow.op.core.Prod

keepDims(Boolean) - Method in class org.tensorflow.op.core.Prod.Options

keepDims(Boolean) - Static method in class org.tensorflow.op.core.ReduceAll

keepDims(Boolean) - Method in class org.tensorflow.op.core.ReduceAll.Options

keepDims(Boolean) - Static method in class org.tensorflow.op.core.ReduceAny

keepDims(Boolean) - Method in class org.tensorflow.op.core.ReduceAny.Options

keepDims(Boolean) - Static method in class org.tensorflow.op.core.ReduceMax

keepDims(Boolean) - Method in class org.tensorflow.op.core.ReduceMax.Options

keepDims(Boolean) - Static method in class org.tensorflow.op.core.ReduceMin

keepDims(Boolean) - Method in class org.tensorflow.op.core.ReduceMin.Options

keepDims(Boolean) - Static method in class org.tensorflow.op.core.ReduceProd

keepDims(Boolean) - Method in class org.tensorflow.op.core.ReduceProd.Options

keepDims(Boolean) - Static method in class org.tensorflow.op.core.ReduceSum

keepDims(Boolean) - Method in class org.tensorflow.op.core.ReduceSum.Options

keepDims(Boolean) - Static method in class org.tensorflow.op.core.Sum

keepDims(Boolean) - Method in class org.tensorflow.op.core.Sum.Options

keepDims(Boolean) - Static method in class org.tensorflow.op.math.Mean

keepDims(Boolean) - Method in class org.tensorflow.op.math.Mean.Options

keepDims(Boolean) - Static method in class org.tensorflow.op.sparse.SparseReduceMax

keepDims(Boolean) - Method in class org.tensorflow.op.sparse.SparseReduceMax.Options

keepDims(Boolean) - Static method in class org.tensorflow.op.sparse.SparseReduceMaxSparse

keepDims(Boolean) - Method in class org.tensorflow.op.sparse.SparseReduceMaxSparse.Options

keepDims(Boolean) - Static method in class org.tensorflow.op.sparse.SparseReduceSum

keepDims(Boolean) - Method in class org.tensorflow.op.sparse.SparseReduceSum.Options

keepDims(Boolean) - Static method in class org.tensorflow.op.sparse.SparseReduceSumSparse

keepDims(Boolean) - Method in class org.tensorflow.op.sparse.SparseReduceSumSparse.Options

keepDims(Boolean) - Static method in class org.tensorflow.op.strings.ReduceJoin

keepDims(Boolean) - Method in class org.tensorflow.op.strings.ReduceJoin.Options

key() - Method in class org.tensorflow.op.core.MapUnstageNoKey

key() - Method in class org.tensorflow.op.core.OrderedMapUnstageNoKey

key() - Method in class org.tensorflow.op.io.ReaderRead

A scalar.

keys() - Method in class org.tensorflow.op.core.BarrierTakeMany

A one-dimensional tensor of keys, with length num_elements.

keys() - Method in class org.tensorflow.op.core.LookupTableExport

Vector of all keys present in the table.

keys() - Method in class org.tensorflow.op.io.ReaderReadUpTo

A 1-D tensor.

L

l2Loss(Operand<T>) - Method in class org.tensorflow.op.NnOps

Adds an L2Loss operation to the graph

L2Loss<T extends java.lang.Number> - Class in org.tensorflow.op.nn

L2 Loss.

labels() - Method in class org.tensorflow.op.core.Skipgram

A vector of word ids.

lastLayerNodesRange() - Method in class org.tensorflow.op.core.BoostedTreesGetEnsembleStates

Rank size 2 tensor that contains start and end ids of the nodes in the latest layer.

latencyStatsDataset(Operand<?>, Operand<String>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.DataOps

Adds an LatencyStatsDataset operation to the graph

LatencyStatsDataset - Class in org.tensorflow.op.data

Records the latency of producing `input_dataset` elements in a StatsAggregator.

LeakyRelu<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes rectified linear: `max(features, features * alpha)`.

LeakyRelu.Options - Class in org.tensorflow.op.nn

Optional attributes for LeakyRelu

LeakyReluGrad<T extends java.lang.Number> - Class in org.tensorflow.op.data

Computes rectified linear gradients for a LeakyRelu operation.

LeakyReluGrad.Options - Class in org.tensorflow.op.data

Optional attributes for LeakyReluGrad

learnedUnigramCandidateSampler(Operand<Long>, Long, Long, Boolean, Long, LearnedUnigramCandidateSampler.Options...) - Method in class org.tensorflow.op.NnOps

Adds an LearnedUnigramCandidateSampler operation to the graph

LearnedUnigramCandidateSampler - Class in org.tensorflow.op.nn

Generates labels for candidate sampling with a learned unigram distribution.

LearnedUnigramCandidateSampler.Options - Class in org.tensorflow.op.nn

Optional attributes for LearnedUnigramCandidateSampler

leftNodeContribsList() - Method in class org.tensorflow.op.core.BoostedTreesCalculateBestGainsPerFeature

A list of Rank 2 tensors indicating the contribution of the left nodes when branching from parent nodes (given by the tensor element in the output node_ids_list) to the left direction by the given threshold for each feature.

leftShift(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.BitwiseOps

Adds an LeftShift operation to the graph

LeftShift<T extends java.lang.Number> - Class in org.tensorflow.op.bitwise

Elementwise computes the bitwise left-shift of `x` and `y`.

length() - Method in class org.tensorflow.op.core.TensorListLength

lengths() - Method in class org.tensorflow.op.core.TensorArrayConcat

A vector of the row sizes of the original T elements in the value output.

less(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Less operation to the graph

Less - Class in org.tensorflow.op.math

Returns the truth value of (x < y) element-wise.

lessEqual(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an LessEqual operation to the graph

LessEqual - Class in org.tensorflow.op.math

Returns the truth value of (x <= y) element-wise.

lgamma(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Lgamma operation to the graph

Lgamma<T extends java.lang.Number> - Class in org.tensorflow.op.math

Computes the log of the absolute value of `Gamma(x)` element-wise.

linalg - Variable in class org.tensorflow.op.Ops

linalg() - Method in class org.tensorflow.op.Ops

Returns an API for adding linalg operations to the graph

LinalgOps - Class in org.tensorflow.op

An API for adding linalg operations to a Graph

linSpace(Operand<T>, Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an LinSpace operation to the graph

LinSpace<T extends java.lang.Number> - Class in org.tensorflow.op.core

Generates values in an interval.

littleEndian(Boolean) - Static method in class org.tensorflow.op.io.DecodeRaw

littleEndian(Boolean) - Method in class org.tensorflow.op.io.DecodeRaw.Options

lmdbReader(LmdbReader.Options...) - Method in class org.tensorflow.op.IoOps

Adds an LmdbReader operation to the graph

LmdbReader - Class in org.tensorflow.op.io

A Reader that outputs the records from a LMDB file.

LmdbReader.Options - Class in org.tensorflow.op.io

Optional attributes for LmdbReader

load() - Method in class org.tensorflow.SavedModelBundle.Loader

Load a SavedModelBundle with the configured options.

load(String, String...) - Static method in class org.tensorflow.SavedModelBundle

Load a saved model from an export directory.

loadAndRemapMatrix(Operand<String>, Operand<String>, Operand<Long>, Operand<Long>, Operand<Float>, Long, Long, LoadAndRemapMatrix.Options...) - Method in class org.tensorflow.op.LinalgOps

Adds an LoadAndRemapMatrix operation to the graph

LoadAndRemapMatrix - Class in org.tensorflow.op.linalg

Loads a 2-D (matrix) `Tensor` with name `old_tensor_name` from the checkpoint

LoadAndRemapMatrix.Options - Class in org.tensorflow.op.linalg

Optional attributes for LoadAndRemapMatrix

loader(String) - Static method in class org.tensorflow.SavedModelBundle

Load a saved model.

loadLibrary(String) - Static method in class org.tensorflow.TensorFlow

Load the dynamic library in filename and register the operations and kernels present in that library.

localResponseNormalization(Operand<T>, LocalResponseNormalization.Options...) - Method in class org.tensorflow.op.NnOps

Adds an LocalResponseNormalization operation to the graph

LocalResponseNormalization<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Local Response Normalization.

LocalResponseNormalization.Options - Class in org.tensorflow.op.nn

Optional attributes for LocalResponseNormalization

LocalResponseNormalizationGrad<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Gradients for Local Response Normalization.

LocalResponseNormalizationGrad.Options - Class in org.tensorflow.op.nn

Optional attributes for LocalResponseNormalizationGrad

log(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Log operation to the graph

Log<T> - Class in org.tensorflow.op.math

Computes natural logarithm of x element-wise.

log1p(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Log1p operation to the graph

Log1p<T> - Class in org.tensorflow.op.math

Computes natural logarithm of (1 + x) element-wise.

logAbsDeterminant() - Method in class org.tensorflow.op.linalg.LogMatrixDeterminant

The logs of the absolute values of the determinants of the N input matrices.

logicalAnd(Operand<Boolean>, Operand<Boolean>) - Method in class org.tensorflow.op.MathOps

Adds an LogicalAnd operation to the graph

LogicalAnd - Class in org.tensorflow.op.math

Returns the truth value of x AND y element-wise.

logicalNot(Operand<Boolean>) - Method in class org.tensorflow.op.MathOps

Adds an LogicalNot operation to the graph

LogicalNot - Class in org.tensorflow.op.math

Returns the truth value of NOT x element-wise.

logicalOr(Operand<Boolean>, Operand<Boolean>) - Method in class org.tensorflow.op.MathOps

Adds an LogicalOr operation to the graph

LogicalOr - Class in org.tensorflow.op.math

Returns the truth value of x OR y element-wise.

logits() - Method in class org.tensorflow.op.core.BoostedTreesPredict

Output rank 2 Tensor containing logits for each example.

logits() - Method in class org.tensorflow.op.core.TensorForestTreePredict

The logits predictions from the tree for each instance in the batch.

logMatrixDeterminant(Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Adds an LogMatrixDeterminant operation to the graph

LogMatrixDeterminant<T> - Class in org.tensorflow.op.linalg

Computes the sign and the log of the absolute value of the determinant of

logProbability() - Method in class org.tensorflow.op.nn.CtcBeamSearchDecoder

A matrix, shaped: `(batch_size x top_paths)`.

logProbability() - Method in class org.tensorflow.op.nn.CtcGreedyDecoder

Matrix, size `(batch_size x 1)`, containing sequence log-probabilities.

logsoftmax() - Method in class org.tensorflow.op.nn.LogSoftmax

Same shape as `logits`.

logSoftmax(Operand<T>) - Method in class org.tensorflow.op.NnOps

Adds an LogSoftmax operation to the graph

LogSoftmax<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes log softmax activations.

logUniformCandidateSampler(Operand<Long>, Long, Long, Boolean, Long, LogUniformCandidateSampler.Options...) - Method in class org.tensorflow.op.RandomOps

Adds an LogUniformCandidateSampler operation to the graph

LogUniformCandidateSampler - Class in org.tensorflow.op.random

Generates labels for candidate sampling with a log-uniform distribution.

LogUniformCandidateSampler.Options - Class in org.tensorflow.op.random

Optional attributes for LogUniformCandidateSampler

longValue() - Method in class org.tensorflow.Tensor

Returns the value in a scalar Long tensor.

longValue() - Method in class org.tensorflow.types.UInt8

lookupTableExport(Operand<?>, Class<T>, Class<U>) - Method in class org.tensorflow.op.Ops

Adds an LookupTableExport operation to the graph

LookupTableExport<T,U> - Class in org.tensorflow.op.core

Outputs all keys and values in the table.

lookupTableFind(Operand<?>, Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an LookupTableFind operation to the graph

LookupTableFind<U> - Class in org.tensorflow.op.core

Looks up keys in a table, outputs the corresponding values.

lookupTableImport(Operand<?>, Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an LookupTableImport operation to the graph

LookupTableImport - Class in org.tensorflow.op.core

Replaces the contents of the table with the specified keys and values.

lookupTableInsert(Operand<?>, Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an LookupTableInsert operation to the graph

LookupTableInsert - Class in org.tensorflow.op.core

Updates the table to associates keys with values.

LookupTableRemove - Class in org.tensorflow.op.core

Removes keys and its associated values from a table.

lookupTableSize(Operand<?>) - Method in class org.tensorflow.op.Ops

Adds an LookupTableSize operation to the graph

LookupTableSize - Class in org.tensorflow.op.core

Computes the number of elements in the given table.

loopCond(Operand<Boolean>) - Method in class org.tensorflow.op.Ops

Adds an LoopCond operation to the graph

LoopCond - Class in org.tensorflow.op.core

Forwards the input to the output.

loss() - Method in class org.tensorflow.op.nn.CtcLoss

A vector (batch) containing log-probabilities.

loss() - Method in class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits

Per example loss (batch_size vector).

loss() - Method in class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits

Per example loss (batch_size vector).

lower(Boolean) - Static method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve

lower(Boolean) - Method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve.Options

lower(Boolean) - Static method in class org.tensorflow.op.linalg.TriangularSolve

lower(Boolean) - Method in class org.tensorflow.op.linalg.TriangularSolve.Options

LowerBound<U extends java.lang.Number> - Class in org.tensorflow.op.core

Applies lower_bound(sorted_search_values, values) along each row.

lowerFrequencyLimit(Float) - Static method in class org.tensorflow.op.audio.Mfcc

lowerFrequencyLimit(Float) - Method in class org.tensorflow.op.audio.Mfcc.Options

M

magnitudeSquared(Boolean) - Static method in class org.tensorflow.op.audio.AudioSpectrogram

magnitudeSquared(Boolean) - Method in class org.tensorflow.op.audio.AudioSpectrogram.Options

make(long, long...) - Static method in class org.tensorflow.Shape

Create a Shape representing an N-dimensional value.

makeIterator(Operand<?>, Operand<?>) - Method in class org.tensorflow.op.DataOps

Adds an MakeIterator operation to the graph

MakeIterator - Class in org.tensorflow.op.data

Makes a new iterator from the given `dataset` and stores it in `iterator`.

makeOpName(String) - Method in class org.tensorflow.op.Scope

Create a unique name for an operator, using a provided default if necessary.

mapClear(List<Class<?>>, MapClear.Options...) - Method in class org.tensorflow.op.Ops

Adds an MapClear operation to the graph

MapClear - Class in org.tensorflow.op.core

Op removes all elements in the underlying container.

MapClear.Options - Class in org.tensorflow.op.core

Optional attributes for MapClear

mapIncompleteSize(List<Class<?>>, MapIncompleteSize.Options...) - Method in class org.tensorflow.op.Ops

Adds an MapIncompleteSize operation to the graph

MapIncompleteSize - Class in org.tensorflow.op.core

Op returns the number of incomplete elements in the underlying container.

MapIncompleteSize.Options - Class in org.tensorflow.op.core

Optional attributes for MapIncompleteSize

mapPeek(Operand<Long>, Operand<Integer>, List<Class<?>>, MapPeek.Options...) - Method in class org.tensorflow.op.Ops

Adds an MapPeek operation to the graph

MapPeek - Class in org.tensorflow.op.core

Op peeks at the values at the specified key.

MapPeek.Options - Class in org.tensorflow.op.core

Optional attributes for MapPeek

mapSize(List<Class<?>>, MapSize.Options...) - Method in class org.tensorflow.op.Ops

Adds an MapSize operation to the graph

MapSize - Class in org.tensorflow.op.core

Op returns the number of elements in the underlying container.

MapSize.Options - Class in org.tensorflow.op.core

Optional attributes for MapSize

mapStage(Operand<Long>, Operand<Integer>, Iterable<Operand<?>>, List<Class<?>>, MapStage.Options...) - Method in class org.tensorflow.op.Ops

Adds an MapStage operation to the graph

MapStage - Class in org.tensorflow.op.core

Stage (key, values) in the underlying container which behaves like a hashtable.

MapStage.Options - Class in org.tensorflow.op.core

Optional attributes for MapStage

mapUnstage(Operand<Long>, Operand<Integer>, List<Class<?>>, MapUnstage.Options...) - Method in class org.tensorflow.op.Ops

Adds an MapUnstage operation to the graph

MapUnstage - Class in org.tensorflow.op.core

Op removes and returns the values associated with the key

MapUnstage.Options - Class in org.tensorflow.op.core

Optional attributes for MapUnstage

mapUnstageNoKey(Operand<Integer>, List<Class<?>>, MapUnstageNoKey.Options...) - Method in class org.tensorflow.op.Ops

Adds an MapUnstageNoKey operation to the graph

MapUnstageNoKey - Class in org.tensorflow.op.core

Op removes and returns a random (key, value)

MapUnstageNoKey.Options - Class in org.tensorflow.op.core

Optional attributes for MapUnstageNoKey

matchingFiles(Operand<String>) - Method in class org.tensorflow.op.IoOps

Adds an MatchingFiles operation to the graph

MatchingFiles - Class in org.tensorflow.op.io

Returns the set of files matching one or more glob patterns.

math - Variable in class org.tensorflow.op.Ops

math() - Method in class org.tensorflow.op.Ops

Returns an API for adding math operations to the graph

MathOps - Class in org.tensorflow.op

An API for adding math operations to a Graph

matMul(Operand<T>, Operand<T>, MatMul.Options...) - Method in class org.tensorflow.op.LinalgOps

Adds an MatMul operation to the graph

MatMul<T> - Class in org.tensorflow.op.linalg

Multiply the matrix "a" by the matrix "b".

MatMul.Options - Class in org.tensorflow.op.linalg

Optional attributes for MatMul

MatrixLogarithm<T> - Class in org.tensorflow.op.linalg

Computes the matrix logarithm of one or more square matrices:

matrixSolveLs(Operand<T>, Operand<T>, Operand<Double>, MatrixSolveLs.Options...) - Method in class org.tensorflow.op.LinalgOps

Adds an MatrixSolveLs operation to the graph

MatrixSolveLs<T> - Class in org.tensorflow.op.linalg

Solves one or more linear least-squares problems.

MatrixSolveLs.Options - Class in org.tensorflow.op.linalg

Optional attributes for MatrixSolveLs

max(Float) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs

max(Float) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Options

max(Float) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient

max(Float) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Options

max(Operand<T>, Operand<U>, Max.Options...) - Method in class org.tensorflow.op.Ops

Adds an Max operation to the graph

Max<T> - Class in org.tensorflow.op.core

Computes the maximum of elements across dimensions of a tensor.

Max.Options - Class in org.tensorflow.op.core

Optional attributes for Max

maxActivations() - Method in class org.tensorflow.op.nn.QuantizedRelu

The float value that the highest quantized value represents.

maxActivations() - Method in class org.tensorflow.op.nn.QuantizedRelu6

The float value that the highest quantized value represents.

maxActivations() - Method in class org.tensorflow.op.nn.QuantizedReluX

The float value that the highest quantized value represents.

maxAttempts(Long) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox

maxAttempts(Long) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options

maxElements(Long) - Static method in class org.tensorflow.op.core.BoostedTreesCreateQuantileStreamResource

maxElements(Long) - Method in class org.tensorflow.op.core.BoostedTreesCreateQuantileStreamResource.Options

maxEnqueuedBatches(Long) - Static method in class org.tensorflow.op.core.Batch

maxEnqueuedBatches(Long) - Method in class org.tensorflow.op.core.Batch.Options

maxImages(Long) - Static method in class org.tensorflow.op.summary.ImageSummary

maxImages(Long) - Method in class org.tensorflow.op.summary.ImageSummary.Options

maxImages(Long) - Static method in class org.tensorflow.op.summary.WriteImageSummary

maxImages(Long) - Method in class org.tensorflow.op.summary.WriteImageSummary.Options

maximum(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Maximum operation to the graph

Maximum<T extends java.lang.Number> - Class in org.tensorflow.op.math

Returns the max of x and y (i.e.

maxIntraOpParallelism(Long) - Static method in class org.tensorflow.op.data.ExperimentalThreadPoolHandle

maxIntraOpParallelism(Long) - Method in class org.tensorflow.op.data.ExperimentalThreadPoolHandle.Options

maxLoadFactor(Float) - Static method in class org.tensorflow.op.core.MutableDenseHashTable

maxLoadFactor(Float) - Method in class org.tensorflow.op.core.MutableDenseHashTable.Options

maxOut() - Method in class org.tensorflow.op.linalg.QuantizedMatMul

The float value that the highest quantized output value represents.

maxOut() - Method in class org.tensorflow.op.nn.QuantizedBiasAdd

The float value that the highest quantized output value represents.

maxOutput() - Method in class org.tensorflow.op.nn.QuantizedAvgPool

The float value that the highest quantized output value represents.

maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2d

The float value that the highest quantized output value represents.

maxOutput() - Method in class org.tensorflow.op.nn.QuantizedMaxPool

The float value that the highest quantized output value represents.

maxOutputs(Long) - Static method in class org.tensorflow.op.summary.AudioSummary

maxOutputs(Long) - Method in class org.tensorflow.op.summary.AudioSummary.Options

maxOutputs(Long) - Static method in class org.tensorflow.op.summary.WriteAudioSummary

maxOutputs(Long) - Method in class org.tensorflow.op.summary.WriteAudioSummary.Options

maxPool(Operand<T>, Operand<Integer>, Operand<Integer>, String, MaxPool.Options...) - Method in class org.tensorflow.op.NnOps

Adds an MaxPool operation to the graph

MaxPool<T> - Class in org.tensorflow.op.nn

Performs max pooling on the input.

MaxPool.Options - Class in org.tensorflow.op.nn

Optional attributes for MaxPool

maxPool3d(Operand<T>, List<Long>, List<Long>, String, MaxPool3d.Options...) - Method in class org.tensorflow.op.NnOps

Adds an MaxPool3d operation to the graph

MaxPool3d<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Performs 3D max pooling on the input.

MaxPool3d.Options - Class in org.tensorflow.op.nn

Optional attributes for MaxPool3d

maxPool3dGrad(Operand<T>, Operand<T>, Operand<U>, List<Long>, List<Long>, String, MaxPool3dGrad.Options...) - Method in class org.tensorflow.op.NnOps

Adds an MaxPool3dGrad operation to the graph

MaxPool3dGrad<U extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes gradients of max pooling function.

MaxPool3dGrad.Options - Class in org.tensorflow.op.nn

Optional attributes for MaxPool3dGrad

maxPool3dGradGrad(Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String, MaxPool3dGradGrad.Options...) - Method in class org.tensorflow.op.NnOps

Adds an MaxPool3dGradGrad operation to the graph

MaxPool3dGradGrad<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes second-order gradients of the maxpooling function.

MaxPool3dGradGrad.Options - Class in org.tensorflow.op.nn

Optional attributes for MaxPool3dGradGrad

maxPoolGrad(Operand<T>, Operand<T>, Operand<T>, Operand<Integer>, Operand<Integer>, String, MaxPoolGrad.Options...) - Method in class org.tensorflow.op.NnOps

Adds an MaxPoolGrad operation to the graph

MaxPoolGrad<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes gradients of the maxpooling function.

MaxPoolGrad.Options - Class in org.tensorflow.op.nn

Optional attributes for MaxPoolGrad

maxPoolGradGrad(Operand<T>, Operand<T>, Operand<T>, Operand<Integer>, Operand<Integer>, String, MaxPoolGradGrad.Options...) - Method in class org.tensorflow.op.NnOps

Adds an MaxPoolGradGrad operation to the graph

MaxPoolGradGrad<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes second-order gradients of the maxpooling function.

MaxPoolGradGrad.Options - Class in org.tensorflow.op.nn

Optional attributes for MaxPoolGradGrad

maxPoolGradGradWithArgmax(Operand<T>, Operand<T>, Operand<U>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.NnOps

Adds an MaxPoolGradGradWithArgmax operation to the graph

MaxPoolGradGradWithArgmax<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes second-order gradients of the maxpooling function.

MaxPoolGradWithArgmax<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes gradients of the maxpooling function.

maxPoolWithArgmax(Operand<T>, List<Long>, List<Long>, Class<U>, String) - Method in class org.tensorflow.op.NnOps

Adds an MaxPoolWithArgmax operation to the graph

maxPoolWithArgmax(Operand<T>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.NnOps

Adds an MaxPoolWithArgmax operation to the graph

MaxPoolWithArgmax<T extends java.lang.Number,U extends java.lang.Number> - Class in org.tensorflow.op.nn

Performs max pooling on the input and outputs both max values and indices.

maxRowsInMemory(Long) - Static method in class org.tensorflow.op.linalg.LoadAndRemapMatrix

maxRowsInMemory(Long) - Method in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Options

maxsplit(Long) - Static method in class org.tensorflow.op.strings.StringSplit

maxsplit(Long) - Method in class org.tensorflow.op.strings.StringSplit.Options

maxZ() - Method in class org.tensorflow.op.math.QuantizedAdd

The float value that the highest quantized output value represents.

maxZ() - Method in class org.tensorflow.op.math.QuantizedMul

The float value that the highest quantized output value represents.

mean(Operand<T>, Operand<U>, Mean.Options...) - Method in class org.tensorflow.op.MathOps

Adds an Mean operation to the graph

Mean<T> - Class in org.tensorflow.op.math

Computes the mean of elements across dimensions of a tensor.

Mean.Options - Class in org.tensorflow.op.math

Optional attributes for Mean

memoryLimit(Long) - Static method in class org.tensorflow.op.core.MapClear

memoryLimit(Long) - Method in class org.tensorflow.op.core.MapClear.Options

memoryLimit(Long) - Static method in class org.tensorflow.op.core.MapIncompleteSize

memoryLimit(Long) - Method in class org.tensorflow.op.core.MapIncompleteSize.Options

memoryLimit(Long) - Static method in class org.tensorflow.op.core.MapPeek

memoryLimit(Long) - Method in class org.tensorflow.op.core.MapPeek.Options

memoryLimit(Long) - Static method in class org.tensorflow.op.core.MapSize

memoryLimit(Long) - Method in class org.tensorflow.op.core.MapSize.Options

memoryLimit(Long) - Static method in class org.tensorflow.op.core.MapStage

memoryLimit(Long) - Method in class org.tensorflow.op.core.MapStage.Options

memoryLimit(Long) - Static method in class org.tensorflow.op.core.MapUnstage

memoryLimit(Long) - Method in class org.tensorflow.op.core.MapUnstage.Options

memoryLimit(Long) - Static method in class org.tensorflow.op.core.MapUnstageNoKey

memoryLimit(Long) - Method in class org.tensorflow.op.core.MapUnstageNoKey.Options

memoryLimit(Long) - Static method in class org.tensorflow.op.core.OrderedMapClear

memoryLimit(Long) - Method in class org.tensorflow.op.core.OrderedMapClear.Options

memoryLimit(Long) - Static method in class org.tensorflow.op.core.OrderedMapIncompleteSize

memoryLimit(Long) - Method in class org.tensorflow.op.core.OrderedMapIncompleteSize.Options

memoryLimit(Long) - Static method in class org.tensorflow.op.core.OrderedMapPeek

memoryLimit(Long) - Method in class org.tensorflow.op.core.OrderedMapPeek.Options

memoryLimit(Long) - Static method in class org.tensorflow.op.core.OrderedMapSize

memoryLimit(Long) - Method in class org.tensorflow.op.core.OrderedMapSize.Options

memoryLimit(Long) - Static method in class org.tensorflow.op.core.OrderedMapStage

memoryLimit(Long) - Method in class org.tensorflow.op.core.OrderedMapStage.Options

memoryLimit(Long) - Static method in class org.tensorflow.op.core.OrderedMapUnstage

memoryLimit(Long) - Method in class org.tensorflow.op.core.OrderedMapUnstage.Options

memoryLimit(Long) - Static method in class org.tensorflow.op.core.OrderedMapUnstageNoKey

memoryLimit(Long) - Method in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Options

memoryLimit(Long) - Static method in class org.tensorflow.op.core.Stage

memoryLimit(Long) - Method in class org.tensorflow.op.core.Stage.Options

memoryLimit(Long) - Static method in class org.tensorflow.op.core.StageClear

memoryLimit(Long) - Method in class org.tensorflow.op.core.StageClear.Options

memoryLimit(Long) - Static method in class org.tensorflow.op.core.StagePeek

memoryLimit(Long) - Method in class org.tensorflow.op.core.StagePeek.Options

memoryLimit(Long) - Static method in class org.tensorflow.op.core.StageSize

memoryLimit(Long) - Method in class org.tensorflow.op.core.StageSize.Options

memoryLimit(Long) - Static method in class org.tensorflow.op.core.Unstage

memoryLimit(Long) - Method in class org.tensorflow.op.core.Unstage.Options

merge(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Merge operation to the graph

Merge<T> - Class in org.tensorflow.op.core

Forwards the value of an available tensor from `inputs` to `output`.

merged() - Method in class org.tensorflow.op.core.DynamicStitch

merged() - Method in class org.tensorflow.op.core.ParallelDynamicStitch

mergeRepeated(Boolean) - Static method in class org.tensorflow.op.nn.CtcBeamSearchDecoder

mergeRepeated(Boolean) - Method in class org.tensorflow.op.nn.CtcBeamSearchDecoder.Options

mergeRepeated(Boolean) - Static method in class org.tensorflow.op.nn.CtcGreedyDecoder

mergeRepeated(Boolean) - Method in class org.tensorflow.op.nn.CtcGreedyDecoder.Options

mergeSummary(Iterable<Operand<String>>) - Method in class org.tensorflow.op.SummaryOps

Adds an MergeSummary operation to the graph

MergeSummary - Class in org.tensorflow.op.summary

Merges summaries.

mergeV2Checkpoints(Operand<String>, Operand<String>, MergeV2Checkpoints.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an MergeV2Checkpoints operation to the graph

MergeV2Checkpoints - Class in org.tensorflow.op.train

V2 format specific: merges the metadata files of sharded checkpoints.

MergeV2Checkpoints.Options - Class in org.tensorflow.op.train

Optional attributes for MergeV2Checkpoints

message(String) - Static method in class org.tensorflow.op.train.PreventGradient

message(String) - Method in class org.tensorflow.op.train.PreventGradient.Options

messageFormat(String) - Static method in class org.tensorflow.op.core.DecodeProto

messageFormat(String) - Method in class org.tensorflow.op.core.DecodeProto.Options

metadata - Variable in class org.tensorflow.Session.Run

(Experimental): Metadata about the run.

metaGraphDef() - Method in class org.tensorflow.SavedModelBundle

Returns the serialized MetaGraphDef protocol buffer associated with the saved model.

method(String) - Static method in class org.tensorflow.op.image.CropAndResize

method(String) - Method in class org.tensorflow.op.image.CropAndResize.Options

method(String) - Static method in class org.tensorflow.op.image.CropAndResizeGradBoxes

method(String) - Method in class org.tensorflow.op.image.CropAndResizeGradBoxes.Options

method(String) - Static method in class org.tensorflow.op.image.CropAndResizeGradImage

method(String) - Method in class org.tensorflow.op.image.CropAndResizeGradImage.Options

mfcc(Operand<Float>, Operand<Integer>, Mfcc.Options...) - Method in class org.tensorflow.op.AudioOps

Adds an Mfcc operation to the graph

Mfcc - Class in org.tensorflow.op.audio

Transforms a spectrogram into a form that's useful for speech recognition.

Mfcc.Options - Class in org.tensorflow.op.audio

Optional attributes for Mfcc

min(Float) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs

min(Float) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Options

min(Float) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient

min(Float) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Options

min(Operand<T>, Operand<U>, Min.Options...) - Method in class org.tensorflow.op.Ops

Adds an Min operation to the graph

Min<T> - Class in org.tensorflow.op.core

Computes the minimum of elements across dimensions of a tensor.

Min.Options - Class in org.tensorflow.op.core

Optional attributes for Min

minActivations() - Method in class org.tensorflow.op.nn.QuantizedRelu

The float value that the lowest quantized value represents.

minActivations() - Method in class org.tensorflow.op.nn.QuantizedRelu6

The float value that the lowest quantized value represents.

minActivations() - Method in class org.tensorflow.op.nn.QuantizedReluX

The float value that the lowest quantized value represents.

minAfterDequeue(Long) - Static method in class org.tensorflow.op.io.RandomShuffleQueue

minAfterDequeue(Long) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options

minCount(Long) - Static method in class org.tensorflow.op.core.Skipgram

minCount(Long) - Method in class org.tensorflow.op.core.Skipgram.Options

minimum(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Minimum operation to the graph

Minimum<T extends java.lang.Number> - Class in org.tensorflow.op.math

Returns the min of x and y (i.e.

minOut() - Method in class org.tensorflow.op.linalg.QuantizedMatMul

The float value that the lowest quantized output value represents.

minOut() - Method in class org.tensorflow.op.nn.QuantizedBiasAdd

The float value that the lowest quantized output value represents.

minOutput() - Method in class org.tensorflow.op.nn.QuantizedAvgPool

The float value that the lowest quantized output value represents.

minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2d

The float value that the lowest quantized output value represents.

minOutput() - Method in class org.tensorflow.op.nn.QuantizedMaxPool

The float value that the lowest quantized output value represents.

minSeparation(Float) - Static method in class org.tensorflow.op.nn.QuantizedInstanceNorm

minSeparation(Float) - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm.Options

minZ() - Method in class org.tensorflow.op.math.QuantizedAdd

The float value that the lowest quantized output value represents.

minZ() - Method in class org.tensorflow.op.math.QuantizedMul

The float value that the lowest quantized output value represents.

mirrorPad(Operand<T>, Operand<U>, String) - Method in class org.tensorflow.op.Ops

Adds an MirrorPad operation to the graph

MirrorPad<T> - Class in org.tensorflow.op.core

Pads a tensor with mirrored values.

MirrorPadGrad<T> - Class in org.tensorflow.op.core

Gradient op for `MirrorPad` op.

mod(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Mod operation to the graph

Mod<T extends java.lang.Number> - Class in org.tensorflow.op.math

Returns element-wise remainder of division.

mode(String) - Static method in class org.tensorflow.op.quantization.Dequantize

mode(String) - Method in class org.tensorflow.op.quantization.Dequantize.Options

mode(String) - Static method in class org.tensorflow.op.quantization.Quantize

mode(String) - Method in class org.tensorflow.op.quantization.Quantize.Options

ModelDataset - Class in org.tensorflow.op.data

Identity transformation that models performance.

mul(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Mul operation to the graph

Mul<T> - Class in org.tensorflow.op.math

Returns x * y element-wise.

multiDeviceIterator() - Method in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle

A MultiDeviceIterator resource.

MultiDeviceIterator - Class in org.tensorflow.op.data

Creates a MultiDeviceIterator resource.

MultiDeviceIteratorFromStringHandle - Class in org.tensorflow.op.data

Generates a MultiDeviceIterator resource from its provided string handle.

MultiDeviceIteratorFromStringHandle.Options - Class in org.tensorflow.op.data

Optional attributes for MultiDeviceIteratorFromStringHandle

MultiDeviceIteratorGetNextFromShard - Class in org.tensorflow.op.data

Gets next element for the provided shard number.

MultiDeviceIteratorInit - Class in org.tensorflow.op.data

Initializes the multi device iterator with the given dataset.

MultiDeviceIteratorToStringHandle - Class in org.tensorflow.op.data

Produces a string handle for the given MultiDeviceIterator.

multinomial(Operand<T>, Operand<Integer>, Class<U>, Multinomial.Options...) - Method in class org.tensorflow.op.RandomOps

Adds an Multinomial operation to the graph

multinomial(Operand<T>, Operand<Integer>, Multinomial.Options...) - Method in class org.tensorflow.op.RandomOps

Adds an Multinomial operation to the graph

Multinomial<U extends java.lang.Number> - Class in org.tensorflow.op.random

Draws samples from a multinomial distribution.

Multinomial.Options - Class in org.tensorflow.op.random

Optional attributes for Multinomial

mutableDenseHashTable(Operand<T>, Operand<T>, Class<U>, MutableDenseHashTable.Options...) - Method in class org.tensorflow.op.Ops

Adds an MutableDenseHashTable operation to the graph

MutableDenseHashTable - Class in org.tensorflow.op.core

Creates an empty hash table that uses tensors as the backing store.

MutableDenseHashTable.Options - Class in org.tensorflow.op.core

Optional attributes for MutableDenseHashTable

mutableHashTable(Class<T>, Class<U>, MutableHashTable.Options...) - Method in class org.tensorflow.op.Ops

Adds an MutableHashTable operation to the graph

MutableHashTable - Class in org.tensorflow.op.core

Creates an empty hash table.

MutableHashTable.Options - Class in org.tensorflow.op.core

Optional attributes for MutableHashTable

mutableHashTableOfTensors(Class<T>, Class<U>, MutableHashTableOfTensors.Options...) - Method in class org.tensorflow.op.Ops

Adds an MutableHashTableOfTensors operation to the graph

MutableHashTableOfTensors - Class in org.tensorflow.op.core

Creates an empty hash table.

MutableHashTableOfTensors.Options - Class in org.tensorflow.op.core

Optional attributes for MutableHashTableOfTensors

mutex(Mutex.Options...) - Method in class org.tensorflow.op.Ops

Adds an Mutex operation to the graph

Mutex - Class in org.tensorflow.op.core

Creates a Mutex resource that can be locked by `MutexLock`.

Mutex.Options - Class in org.tensorflow.op.core

Optional attributes for Mutex

mutexLock() - Method in class org.tensorflow.op.core.MutexLock

A tensor that keeps a shared pointer to a lock on the mutex; when the Tensor is destroyed, the use count on the shared pointer is decreased by 1.

mutexLock(Operand<?>) - Method in class org.tensorflow.op.Ops

Adds an MutexLock operation to the graph

MutexLock - Class in org.tensorflow.op.core

Locks a mutex resource.

N

name() - Method in annotation type org.tensorflow.op.annotation.Operator

Name for the wrapper method used in the Ops class.

name() - Method in class org.tensorflow.Operation

Returns the full name of the Operation.

narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs

narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Options

narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient

narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Options

narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars

narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars.Options

narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient

narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Options

narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel

narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel.Options

narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient

narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Options

naValue(String) - Static method in class org.tensorflow.op.io.DecodeCsv

naValue(String) - Method in class org.tensorflow.op.io.DecodeCsv.Options

NcclAllReduce<T extends java.lang.Number> - Class in org.tensorflow.op.core

Outputs a tensor containing the reduction across all input tensors.

NcclBroadcast<T extends java.lang.Number> - Class in org.tensorflow.op.core

Sends `input` to all devices that are connected to the output.

NcclReduce<T extends java.lang.Number> - Class in org.tensorflow.op.core

Reduces `input` from `num_devices` using `reduction` to a single device.

NcontextDense(Long) - Static method in class org.tensorflow.op.io.ParseSequenceExample

NcontextDense(Long) - Method in class org.tensorflow.op.io.ParseSequenceExample.Options

NcontextSparse(Long) - Static method in class org.tensorflow.op.io.ParseSequenceExample

NcontextSparse(Long) - Method in class org.tensorflow.op.io.ParseSequenceExample.Options

neg(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Neg operation to the graph

Neg<T> - Class in org.tensorflow.op.math

Computes numerical negative value element-wise.

negTrain(Operand<Float>, Operand<Float>, Operand<Integer>, Operand<Integer>, Operand<Float>, List<Long>, Long) - Method in class org.tensorflow.op.TrainOps

Adds an NegTrain operation to the graph

NegTrain - Class in org.tensorflow.op.train

Training via negative sampling.

newAxisMask(Long) - Static method in class org.tensorflow.op.core.ResourceStridedSliceAssign

newAxisMask(Long) - Method in class org.tensorflow.op.core.ResourceStridedSliceAssign.Options

newAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSlice

newAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSlice.Options

newAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceAssign

newAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSliceAssign.Options

newAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceGrad

newAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSliceGrad.Options

nextIteration(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an NextIteration operation to the graph

NextIteration<T> - Class in org.tensorflow.op.core

Makes its input available to the next iteration.

NfeatureListDense(Long) - Static method in class org.tensorflow.op.io.ParseSequenceExample

NfeatureListDense(Long) - Method in class org.tensorflow.op.io.ParseSequenceExample.Options

NfeatureListSparse(Long) - Static method in class org.tensorflow.op.io.ParseSequenceExample

NfeatureListSparse(Long) - Method in class org.tensorflow.op.io.ParseSequenceExample.Options

nn - Variable in class org.tensorflow.op.Ops

nn() - Method in class org.tensorflow.op.Ops

Returns an API for adding nn operations to the graph

NnOps - Class in org.tensorflow.op

An API for adding nn operations to a Graph

nodeIds() - Method in class org.tensorflow.op.core.BoostedTreesTrainingPredict

Rank 1 Tensor containing new node ids in the new tree_ids.

nodeIdsList() - Method in class org.tensorflow.op.core.BoostedTreesCalculateBestGainsPerFeature

An output list of Rank 1 tensors indicating possible split node ids for each feature.

nonMaxSuppression(Operand<T>, Operand<T>, Operand<Integer>, Operand<Float>, Operand<Float>, NonMaxSuppression.Options...) - Method in class org.tensorflow.op.ImageOps

Adds an NonMaxSuppression operation to the graph

NonMaxSuppression - Class in org.tensorflow.op.image

Greedily selects a subset of bounding boxes in descending order of score,

NonMaxSuppression.Options - Class in org.tensorflow.op.image

Optional attributes for NonMaxSuppression

nonMaxSuppressionWithOverlaps(Operand<Float>, Operand<Float>, Operand<Integer>, Operand<Float>, Operand<Float>) - Method in class org.tensorflow.op.ImageOps

Adds an NonMaxSuppressionWithOverlaps operation to the graph

NonMaxSuppressionWithOverlaps - Class in org.tensorflow.op.image

Greedily selects a subset of bounding boxes in descending order of score,

noOp() - Method in class org.tensorflow.op.Ops

Adds an NoOp operation to the graph

NoOp - Class in org.tensorflow.op.core

Does nothing.

normalize(Boolean) - Static method in class org.tensorflow.op.core.EditDistance

normalize(Boolean) - Method in class org.tensorflow.op.core.EditDistance.Options

normalized(Boolean) - Static method in class org.tensorflow.op.image.ExtractGlimpse

normalized(Boolean) - Method in class org.tensorflow.op.image.ExtractGlimpse.Options

notEqual(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an NotEqual operation to the graph

NotEqual - Class in org.tensorflow.op.math

Returns the truth value of (x != y) element-wise.

nthElement(Operand<T>, Operand<Integer>, NthElement.Options...) - Method in class org.tensorflow.op.NnOps

Adds an NthElement operation to the graph

NthElement<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Finds values of the `n`-th order statistic for the last dimension.

NthElement.Options - Class in org.tensorflow.op.nn

Optional attributes for NthElement

numAccumulated() - Method in class org.tensorflow.op.train.AccumulatorNumAccumulated

The number of gradients aggregated in the given accumulator.

numAttemptedLayers() - Method in class org.tensorflow.op.core.BoostedTreesGetEnsembleStates

The number of layers we attempted to build (but not necessarily succeeded).

numBits(Long) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs

numBits(Long) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Options

numBits(Long) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient

numBits(Long) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Options

numBits(Long) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars

numBits(Long) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars.Options

numBits(Long) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient

numBits(Long) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Options

numBits(Long) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel

numBits(Long) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel.Options

numBits(Long) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient

numBits(Long) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Options

numBytes() - Method in class org.tensorflow.Tensor

Returns the size, in bytes, of the tensor data.

numDimensions() - Method in class org.tensorflow.Shape

Number of dimensions represented by this shape.

numDimensions() - Method in class org.tensorflow.Tensor

Returns the number of dimensions (sometimes referred to as rank) of the Tensor.

numElements() - Method in class org.tensorflow.Tensor

Returns the number of elements in a flattened (1-D) view of the tensor.

numElements(Long) - Static method in class org.tensorflow.op.core.TensorListStack

numElements(Long) - Method in class org.tensorflow.op.core.TensorListStack.Options

numFinalizedTrees() - Method in class org.tensorflow.op.core.BoostedTreesGetEnsembleStates

The number of trees that were finished successfully.

numOutputs() - Method in class org.tensorflow.Operation

Returns the number of tensors produced by this operation.

numPresent() - Method in class org.tensorflow.op.train.GenerateVocabRemapping

Number of new vocab entries found in old vocab.

numReservedIds(Long) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler

numReservedIds(Long) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options

numShards(Long) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler

numShards(Long) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options

numTrees() - Method in class org.tensorflow.op.core.BoostedTreesGetEnsembleStates

The number of trees in the tree ensemble resource.

O

offsetBackprop() - Method in class org.tensorflow.op.nn.FusedBatchNormGrad

A 1D Tensor for the gradient with respect to offset.

oldVocabSize(Long) - Static method in class org.tensorflow.op.train.GenerateVocabRemapping

oldVocabSize(Long) - Method in class org.tensorflow.op.train.GenerateVocabRemapping.Options

oneHot(Operand<T>, Operand<Integer>, Operand<U>, Operand<U>, OneHot.Options...) - Method in class org.tensorflow.op.Ops

Adds an OneHot operation to the graph

OneHot<U> - Class in org.tensorflow.op.core

Returns a one-hot tensor.

OneHot.Options - Class in org.tensorflow.op.core

Optional attributes for OneHot

onesLike(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an OnesLike operation to the graph

OnesLike<T> - Class in org.tensorflow.op.core

Returns a tensor of ones with the same shape and type as x.

op() - Method in class org.tensorflow.Output

Returns the Operation that will produce the tensor referred to by this Output.

Op - Interface in org.tensorflow.op

A marker interface for all operation wrappers.

opBuilder(String, String) - Method in class org.tensorflow.Graph

Returns a builder to add Operations to the Graph.

Operand<T> - Interface in org.tensorflow

Interface implemented by operands of a TensorFlow operation.

Operands - Class in org.tensorflow.op

Utilities for manipulating operand related types and lists.

operation - Variable in class org.tensorflow.op.PrimitiveOp

Underlying operation.

operation(String) - Method in class org.tensorflow.Graph

Returns the operation (node in the Graph) with the provided name.

Operation - Class in org.tensorflow

A Graph node that performs computation on Tensors.

OperationBuilder - Class in org.tensorflow

A builder for Operations in a Graph.

operations() - Method in class org.tensorflow.Graph

Iterator over all the Operations in the graph.

Operator - Annotation Type in org.tensorflow.op.annotation

Annotation used by classes to make TensorFlow operations conveniently accessible via org.tensorflow.op.Ops.

Ops - Class in org.tensorflow.op

An API for building a Graph with operation wrappers

OptimizeDataset - Class in org.tensorflow.op.data

Creates a dataset by applying optimizations to `input_dataset`.

optimizeSize(Boolean) - Static method in class org.tensorflow.op.image.EncodeJpeg

optimizeSize(Boolean) - Method in class org.tensorflow.op.image.EncodeJpeg.Options

optional() - Method in class org.tensorflow.op.data.IteratorGetNextAsOptional

optional() - Method in class org.tensorflow.op.data.OptionalFromValue

optional() - Method in class org.tensorflow.op.data.OptionalNone

optionalFromValue(Iterable<Operand<?>>) - Method in class org.tensorflow.op.DataOps

Adds an OptionalFromValue operation to the graph

OptionalFromValue - Class in org.tensorflow.op.data

Constructs an Optional variant from a tuple of tensors.

optionalGetValue(Operand<?>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.DataOps

Adds an OptionalGetValue operation to the graph

OptionalGetValue - Class in org.tensorflow.op.data

Returns the value stored in an Optional variant or raises an error if none exists.

optionalHasValue(Operand<?>) - Method in class org.tensorflow.op.DataOps

Adds an OptionalHasValue operation to the graph

OptionalHasValue - Class in org.tensorflow.op.data

Returns true if and only if the given Optional variant has a value.

optionalNone() - Method in class org.tensorflow.op.DataOps

Adds an OptionalNone operation to the graph

OptionalNone - Class in org.tensorflow.op.data

Creates an Optional variant with no value.

orderedMapClear(List<Class<?>>, OrderedMapClear.Options...) - Method in class org.tensorflow.op.Ops

Adds an OrderedMapClear operation to the graph

OrderedMapClear - Class in org.tensorflow.op.core

Op removes all elements in the underlying container.

OrderedMapClear.Options - Class in org.tensorflow.op.core

Optional attributes for OrderedMapClear

orderedMapIncompleteSize(List<Class<?>>, OrderedMapIncompleteSize.Options...) - Method in class org.tensorflow.op.Ops

Adds an OrderedMapIncompleteSize operation to the graph

OrderedMapIncompleteSize - Class in org.tensorflow.op.core

Op returns the number of incomplete elements in the underlying container.

OrderedMapIncompleteSize.Options - Class in org.tensorflow.op.core

Optional attributes for OrderedMapIncompleteSize

orderedMapPeek(Operand<Long>, Operand<Integer>, List<Class<?>>, OrderedMapPeek.Options...) - Method in class org.tensorflow.op.Ops

Adds an OrderedMapPeek operation to the graph

OrderedMapPeek - Class in org.tensorflow.op.core

Op peeks at the values at the specified key.

OrderedMapPeek.Options - Class in org.tensorflow.op.core

Optional attributes for OrderedMapPeek

orderedMapSize(List<Class<?>>, OrderedMapSize.Options...) - Method in class org.tensorflow.op.Ops

Adds an OrderedMapSize operation to the graph

OrderedMapSize - Class in org.tensorflow.op.core

Op returns the number of elements in the underlying container.

OrderedMapSize.Options - Class in org.tensorflow.op.core

Optional attributes for OrderedMapSize

orderedMapStage(Operand<Long>, Operand<Integer>, Iterable<Operand<?>>, List<Class<?>>, OrderedMapStage.Options...) - Method in class org.tensorflow.op.Ops

Adds an OrderedMapStage operation to the graph

OrderedMapStage - Class in org.tensorflow.op.core

Stage (key, values) in the underlying container which behaves like a ordered

OrderedMapStage.Options - Class in org.tensorflow.op.core

Optional attributes for OrderedMapStage

orderedMapUnstage(Operand<Long>, Operand<Integer>, List<Class<?>>, OrderedMapUnstage.Options...) - Method in class org.tensorflow.op.Ops

Adds an OrderedMapUnstage operation to the graph

OrderedMapUnstage - Class in org.tensorflow.op.core

Op removes and returns the values associated with the key

OrderedMapUnstage.Options - Class in org.tensorflow.op.core

Optional attributes for OrderedMapUnstage

orderedMapUnstageNoKey(Operand<Integer>, List<Class<?>>, OrderedMapUnstageNoKey.Options...) - Method in class org.tensorflow.op.Ops

Adds an OrderedMapUnstageNoKey operation to the graph

OrderedMapUnstageNoKey - Class in org.tensorflow.op.core

Op removes and returns the (key, value) element with the smallest

OrderedMapUnstageNoKey.Options - Class in org.tensorflow.op.core

Optional attributes for OrderedMapUnstageNoKey

org.tensorflow - package org.tensorflow

Defines classes to build, save, load and execute TensorFlow models.

org.tensorflow.op - package org.tensorflow.op

org.tensorflow.op.annotation - package org.tensorflow.op.annotation

org.tensorflow.op.audio - package org.tensorflow.op.audio

org.tensorflow.op.bitwise - package org.tensorflow.op.bitwise

org.tensorflow.op.collective - package org.tensorflow.op.collective

org.tensorflow.op.core - package org.tensorflow.op.core

org.tensorflow.op.data - package org.tensorflow.op.data

org.tensorflow.op.dtypes - package org.tensorflow.op.dtypes

org.tensorflow.op.image - package org.tensorflow.op.image

org.tensorflow.op.io - package org.tensorflow.op.io

org.tensorflow.op.linalg - package org.tensorflow.op.linalg

org.tensorflow.op.math - package org.tensorflow.op.math

org.tensorflow.op.nn - package org.tensorflow.op.nn

org.tensorflow.op.quantization - package org.tensorflow.op.quantization

org.tensorflow.op.random - package org.tensorflow.op.random

org.tensorflow.op.signal - package org.tensorflow.op.signal

org.tensorflow.op.sparse - package org.tensorflow.op.sparse

org.tensorflow.op.strings - package org.tensorflow.op.strings

org.tensorflow.op.summary - package org.tensorflow.op.summary

org.tensorflow.op.train - package org.tensorflow.op.train

org.tensorflow.types - package org.tensorflow.types

Defines classes that represent TensorFlow data types.

out() - Method in class org.tensorflow.op.core.HistogramFixedWidth

A 1-D `Tensor` holding histogram of values.

out() - Method in class org.tensorflow.op.core.SetDiff1d

1-D.

out() - Method in class org.tensorflow.op.dtypes.Complex

out() - Method in class org.tensorflow.op.linalg.QuantizedMatMul

out() - Method in class org.tensorflow.op.math.Cumprod

out() - Method in class org.tensorflow.op.math.Cumsum

out() - Method in class org.tensorflow.op.train.ApplyAdadelta

Same as "var".

out() - Method in class org.tensorflow.op.train.ApplyAdagrad

Same as "var".

out() - Method in class org.tensorflow.op.train.ApplyAdagradDa

Same as "var".

out() - Method in class org.tensorflow.op.train.ApplyAdam

Same as "var".

out() - Method in class org.tensorflow.op.train.ApplyAdaMax

Same as "var".

out() - Method in class org.tensorflow.op.train.ApplyAddSign

Same as "var".

out() - Method in class org.tensorflow.op.train.ApplyCenteredRmsProp

Same as "var".

out() - Method in class org.tensorflow.op.train.ApplyFtrl

Same as "var".

out() - Method in class org.tensorflow.op.train.ApplyGradientDescent

Same as "var".

out() - Method in class org.tensorflow.op.train.ApplyMomentum

Same as "var".

out() - Method in class org.tensorflow.op.train.ApplyPowerSign

Same as "var".

out() - Method in class org.tensorflow.op.train.ApplyProximalAdagrad

Same as "var".

out() - Method in class org.tensorflow.op.train.ApplyProximalGradientDescent

Same as "var".

out() - Method in class org.tensorflow.op.train.ApplyRmsProp

Same as "var".

out() - Method in class org.tensorflow.op.train.SparseApplyAdadelta

Same as "var".

out() - Method in class org.tensorflow.op.train.SparseApplyAdagrad

Same as "var".

out() - Method in class org.tensorflow.op.train.SparseApplyAdagradDa

Same as "var".

out() - Method in class org.tensorflow.op.train.SparseApplyCenteredRmsProp

Same as "var".

out() - Method in class org.tensorflow.op.train.SparseApplyFtrl

Same as "var".

out() - Method in class org.tensorflow.op.train.SparseApplyMomentum

Same as "var".

out() - Method in class org.tensorflow.op.train.SparseApplyProximalAdagrad

Same as "var".

out() - Method in class org.tensorflow.op.train.SparseApplyProximalGradientDescent

Same as "var".

out() - Method in class org.tensorflow.op.train.SparseApplyRmsProp

Same as "var".

outDeltaDenseWeights() - Method in class org.tensorflow.op.train.SdcaOptimizer

a list of vectors where the values are the delta weights associated with a dense feature group.

outDeltaSparseWeights() - Method in class org.tensorflow.op.train.SdcaOptimizer

a list of vectors where each value is the delta weights associated with a sparse feature group.

outExampleStateData() - Method in class org.tensorflow.op.train.SdcaOptimizer

a list of vectors containing the updated example state data.

outMax() - Method in class org.tensorflow.op.image.QuantizedResizeBilinear

outMin() - Method in class org.tensorflow.op.image.QuantizedResizeBilinear

output() - Method in class org.tensorflow.op.audio.Mfcc

output() - Method in class org.tensorflow.op.core.All

The reduced tensor.

output() - Method in class org.tensorflow.op.core.Any

The reduced tensor.

output() - Method in class org.tensorflow.op.core.BatchToSpace

4-D with shape `[batch, height, width, depth]`, where:

output() - Method in class org.tensorflow.op.core.BatchToSpaceNd

output() - Method in class org.tensorflow.op.core.Bitcast

output() - Method in class org.tensorflow.op.core.BroadcastTo

A Tensor.

output() - Method in class org.tensorflow.op.core.Bucketize

Same shape with 'input', each value of input replaced with bucket index.

output() - Method in class org.tensorflow.op.core.ClipByValue

A clipped `Tensor` with the same shape as input 't'.

output() - Method in class org.tensorflow.op.core.Concat

A `Tensor` with the concatenation of values stacked along the `concat_dim` dimension.

output() - Method in class org.tensorflow.op.core.CountUpTo

A copy of the input before increment.

output() - Method in class org.tensorflow.op.core.DebugGradientIdentity

output() - Method in class org.tensorflow.op.core.DebugGradientRefIdentity

output() - Method in class org.tensorflow.op.core.EditDistance

A dense float tensor with rank R - 1.

output() - Method in class org.tensorflow.op.core.Empty

A `Tensor` of type `T`.

output() - Method in class org.tensorflow.op.core.EnsureShape

A tensor with the same shape and contents as the input tensor or value.

output() - Method in class org.tensorflow.op.core.Enter

The same tensor as `data`.

output() - Method in class org.tensorflow.op.core.Exit

The same tensor as `data`.

output() - Method in class org.tensorflow.op.core.ExpandDims

Contains the same data as `input`, but its shape has an additional dimension of size 1 added.

output() - Method in class org.tensorflow.op.core.Fill

output() - Method in class org.tensorflow.op.core.Gather

Values from `params` gathered from indices given by `indices`, with shape `params.shape[:axis] + indices.shape + params.shape[axis + 1:]`.

output() - Method in class org.tensorflow.op.core.GatherNd

Values from `params` gathered from indices given by `indices`, with shape `indices.shape[:-1] + params.shape[indices.shape[-1]:]`.

output() - Method in class org.tensorflow.op.core.GuaranteeConst

output() - Method in class org.tensorflow.op.core.Identity

output() - Method in class org.tensorflow.op.core.IdentityN

output() - Method in class org.tensorflow.op.core.LinSpace

1-D.

output() - Method in class org.tensorflow.op.core.LoopCond

The same tensor as `input`.

output() - Method in class org.tensorflow.op.core.LowerBound

A `Tensor` with the same shape as `values`.

output() - Method in class org.tensorflow.op.core.Max

The reduced tensor.

output() - Method in class org.tensorflow.op.core.Merge

Will be set to the available input tensor.

output() - Method in class org.tensorflow.op.core.Min

The reduced tensor.

output() - Method in class org.tensorflow.op.core.MirrorPad

The padded tensor.

output() - Method in class org.tensorflow.op.core.MirrorPadGrad

The folded tensor.

output() - Method in class org.tensorflow.op.core.NcclBroadcast

output() - Method in class org.tensorflow.op.core.NextIteration

The same tensor as `data`.

output() - Method in class org.tensorflow.op.core.OneHot

The one-hot tensor.

output() - Method in class org.tensorflow.op.core.Pad

output() - Method in class org.tensorflow.op.core.ParallelConcat

The concatenated tensor.

output() - Method in class org.tensorflow.op.core.Placeholder

A placeholder tensor that must be replaced using the feed mechanism.

output() - Method in class org.tensorflow.op.core.PlaceholderWithDefault

A placeholder tensor that defaults to `input` if it is not fed.

output() - Method in class org.tensorflow.op.core.Prod

The reduced tensor.

output() - Method in class org.tensorflow.op.core.QuantizedConcat

A `Tensor` with the concatenation of values stacked along the `concat_dim` dimension.

output() - Method in class org.tensorflow.op.core.QuantizedReshape

output() - Method in class org.tensorflow.op.core.Range

1-D.

output() - Method in class org.tensorflow.op.core.Rank

output() - Method in class org.tensorflow.op.core.ReduceAll

The reduced tensor.

output() - Method in class org.tensorflow.op.core.ReduceAny

The reduced tensor.

output() - Method in class org.tensorflow.op.core.ReduceMax

The reduced tensor.

output() - Method in class org.tensorflow.op.core.ReduceMin

The reduced tensor.

output() - Method in class org.tensorflow.op.core.ReduceProd

The reduced tensor.

output() - Method in class org.tensorflow.op.core.ReduceSum

The reduced tensor.

output() - Method in class org.tensorflow.op.core.RefEnter

The same tensor as `data`.

output() - Method in class org.tensorflow.op.core.RefExit

The same tensor as `data`.

output() - Method in class org.tensorflow.op.core.RefIdentity

output() - Method in class org.tensorflow.op.core.RefMerge

Will be set to the available input tensor.

output() - Method in class org.tensorflow.op.core.RefNextIteration

The same tensor as `data`.

output() - Method in class org.tensorflow.op.core.RefSelect

The forwarded tensor.

output() - Method in class org.tensorflow.op.core.Reshape

output() - Method in class org.tensorflow.op.core.ResourceCountUpTo

A copy of the input before increment.

output() - Method in class org.tensorflow.op.core.ResourceGather

output() - Method in class org.tensorflow.op.core.Reverse

The same shape as `tensor`.

output() - Method in class org.tensorflow.op.core.ReverseSequence

The partially reversed input.

output() - Method in class org.tensorflow.op.core.Roll

Has the same shape and size as the input.

output() - Method in class org.tensorflow.op.core.ScatterNd

A new tensor with the given shape and updates applied according to the indices.

output() - Method in class org.tensorflow.op.core.ScatterNdNonAliasingAdd

A `Tensor` with the same shape as `input`, containing values of `input` updated with `updates`.

output() - Method in class org.tensorflow.op.core.Shape

output() - Method in class org.tensorflow.op.core.ShapeN

output() - Method in class org.tensorflow.op.core.Size

output() - Method in class org.tensorflow.op.core.Slice

output() - Method in class org.tensorflow.op.core.Snapshot

output() - Method in class org.tensorflow.op.core.SpaceToBatchNd

output() - Method in class org.tensorflow.op.core.Split

They are identically shaped tensors, whose shape matches that of `value` except along `axis`, where their sizes are `values.shape[split_dim] / num_split`.

output() - Method in class org.tensorflow.op.core.SplitV

Tensors whose shape matches that of `value` except along `axis`, where their sizes are `size_splits[i]`.

output() - Method in class org.tensorflow.op.core.Squeeze

Contains the same data as `input`, but has one or more dimensions of size 1 removed.

output() - Method in class org.tensorflow.op.core.Stack

The packed tensor.

output() - Method in class org.tensorflow.op.core.StopGradient

output() - Method in class org.tensorflow.op.core.StridedSlice

output() - Method in class org.tensorflow.op.core.StridedSliceGrad

output() - Method in class org.tensorflow.op.core.Sum

The reduced tensor.

output() - Method in class org.tensorflow.op.core.TensorListConcatLists

output() - Method in class org.tensorflow.op.core.Tile

output() - Method in class org.tensorflow.op.core.UnravelIndex

An 2-D (or 1-D if indices is 0-D) tensor where each row has the same shape as the indices array.

output() - Method in class org.tensorflow.op.core.Unstack

The list of tensors unpacked from `value`.

output() - Method in class org.tensorflow.op.core.UpperBound

A `Tensor` with the same shape as `values`.

output() - Method in class org.tensorflow.op.core.VariableShape

output() - Method in class org.tensorflow.op.core.Where3

= A `Tensor` with the same type and shape as `x` and `y`.

output() - Method in class org.tensorflow.op.data.ExperimentalFunctionBufferingResourceGetNext

A list of return values.

output() - Method in class org.tensorflow.op.data.FilterByLastComponentDataset

output() - Method in class org.tensorflow.op.dtypes.AsString

output() - Method in class org.tensorflow.op.image.AdjustContrast

The contrast-adjusted image or images.

output() - Method in class org.tensorflow.op.image.AdjustHue

The hue-adjusted image or images.

output() - Method in class org.tensorflow.op.image.AdjustSaturation

The hue-adjusted image or images.

output() - Method in class org.tensorflow.op.image.CropAndResizeGradBoxes

A 2-D tensor of shape `[num_boxes, 4]`.

output() - Method in class org.tensorflow.op.image.CropAndResizeGradImage

A 4-D tensor of shape `[batch, image_height, image_width, depth]`.

output() - Method in class org.tensorflow.op.image.DrawBoundingBoxes

4-D with the same shape as `images`.

output() - Method in class org.tensorflow.op.image.HsvToRgb

`images` converted to RGB.

output() - Method in class org.tensorflow.op.image.RandomCrop

3-D of shape `[crop_height, crop_width, channels].`

output() - Method in class org.tensorflow.op.image.ResizeBicubicGrad

4-D with shape `[batch, orig_height, orig_width, channels]`.

output() - Method in class org.tensorflow.op.image.ResizeBilinearGrad

4-D with shape `[batch, orig_height, orig_width, channels]`.

output() - Method in class org.tensorflow.op.image.ResizeNearestNeighborGrad

4-D with shape `[batch, orig_height, orig_width, channels]`.

output() - Method in class org.tensorflow.op.image.RgbToHsv

`images` converted to HSV.

output() - Method in class org.tensorflow.op.io.DecodeBase64

Decoded strings.

output() - Method in class org.tensorflow.op.io.DecodeCompressed

A Tensor with the same shape as input `bytes`, uncompressed from bytes.

output() - Method in class org.tensorflow.op.io.DecodeCsv

Each tensor will have the same shape as records.

output() - Method in class org.tensorflow.op.io.DecodeRaw

A Tensor with one more dimension than the input `bytes`.

output() - Method in class org.tensorflow.op.io.EncodeBase64

Input strings encoded in base64.

output() - Method in class org.tensorflow.op.io.ParseTensor

A Tensor of type `out_type`.

output() - Method in class org.tensorflow.op.linalg.BatchCholesky

output() - Method in class org.tensorflow.op.linalg.BatchCholeskyGrad

output() - Method in class org.tensorflow.op.linalg.BatchMatMul

3-D or higher with shape `[..., r_o, c_o]`

output() - Method in class org.tensorflow.op.linalg.BatchMatrixDeterminant

output() - Method in class org.tensorflow.op.linalg.BatchMatrixDiag

output() - Method in class org.tensorflow.op.linalg.BatchMatrixInverse

output() - Method in class org.tensorflow.op.linalg.BatchMatrixSetDiag

output() - Method in class org.tensorflow.op.linalg.BatchMatrixSolve

output() - Method in class org.tensorflow.op.linalg.BatchMatrixSolveLs

output() - Method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve

output() - Method in class org.tensorflow.op.linalg.Cholesky

Shape is `[..., M, M]`.

output() - Method in class org.tensorflow.op.linalg.CholeskyGrad

Symmetrized version of df/dA .

output() - Method in class org.tensorflow.op.linalg.Det

Shape is `[...]`.

output() - Method in class org.tensorflow.op.linalg.Diag

Rank `k+1`, with `output.shape = diagonal.shape + [diagonal.shape[-1]]`.

output() - Method in class org.tensorflow.op.linalg.Inv

Shape is `[..., M, M]`.

output() - Method in class org.tensorflow.op.linalg.MatrixLogarithm

Shape is `[..., M, M]`.

output() - Method in class org.tensorflow.op.linalg.MatrixSolveLs

Shape is `[..., N, K]`.

output() - Method in class org.tensorflow.op.linalg.SetDiag

Rank `k+1`, with `output.shape = input.shape`.

output() - Method in class org.tensorflow.op.linalg.Solve

Shape is `[..., M, K]`.

output() - Method in class org.tensorflow.op.linalg.Sqrtm

Shape is `[..., M, M]`.

output() - Method in class org.tensorflow.op.linalg.TensorDiag

output() - Method in class org.tensorflow.op.linalg.TriangularSolve

Shape is `[..., M, K]`.

output() - Method in class org.tensorflow.op.math.Angle

output() - Method in class org.tensorflow.op.math.ArgMax

output() - Method in class org.tensorflow.op.math.ArgMin

output() - Method in class org.tensorflow.op.math.CheckNumerics

output() - Method in class org.tensorflow.op.math.CompareAndBitpack

The bitpacked comparisons.

output() - Method in class org.tensorflow.op.math.Conj

output() - Method in class org.tensorflow.op.math.Imag

output() - Method in class org.tensorflow.op.math.Mean

The reduced tensor.

output() - Method in class org.tensorflow.op.math.Real

output() - Method in class org.tensorflow.op.math.SegmentMax

Has same shape as data, except for dimension 0 which has size `k`, the number of segments.

output() - Method in class org.tensorflow.op.math.SegmentMean

Has same shape as data, except for dimension 0 which has size `k`, the number of segments.

output() - Method in class org.tensorflow.op.math.SegmentMin

Has same shape as data, except for dimension 0 which has size `k`, the number of segments.

output() - Method in class org.tensorflow.op.math.SegmentProd

Has same shape as data, except for dimension 0 which has size `k`, the number of segments.

output() - Method in class org.tensorflow.op.math.SegmentSum

Has same shape as data, except for dimension 0 which has size `k`, the number of segments.

output() - Method in class org.tensorflow.op.math.UnsortedSegmentMax

output() - Method in class org.tensorflow.op.math.UnsortedSegmentMin

Has same shape as data, except for the first `segment_ids.rank` dimensions, which are replaced with a single dimension which has size `num_segments`.

output() - Method in class org.tensorflow.op.math.UnsortedSegmentProd

Has same shape as data, except for the first `segment_ids.rank` dimensions, which are replaced with a single dimension which has size `num_segments`.

output() - Method in class org.tensorflow.op.math.UnsortedSegmentSum

Has same shape as data, except for the first `segment_ids.rank` dimensions, which are replaced with a single dimension which has size `num_segments`.

output() - Method in class org.tensorflow.op.nn.AvgPool

The average pooled output tensor.

output() - Method in class org.tensorflow.op.nn.AvgPool3d

The average pooled output tensor.

output() - Method in class org.tensorflow.op.nn.AvgPool3dGrad

The backprop for input.

output() - Method in class org.tensorflow.op.nn.AvgPoolGrad

4-D.

output() - Method in class org.tensorflow.op.nn.BiasAdd

Broadcasted sum of `value` and `bias`.

output() - Method in class org.tensorflow.op.nn.BiasAddGrad

1-D with size the feature dimension of `out_backprop`.

output() - Method in class org.tensorflow.op.nn.Conv2d

A 4-D tensor.

output() - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter

4-D with shape `[filter_height, filter_width, in_channels, out_channels]`.

output() - Method in class org.tensorflow.op.nn.Conv2dBackpropInput

4-D with shape `[batch, in_height, in_width, in_channels]`.

output() - Method in class org.tensorflow.op.nn.Conv3d

output() - Method in class org.tensorflow.op.nn.Conv3dBackpropFilter

output() - Method in class org.tensorflow.op.nn.Conv3dBackpropInput

output() - Method in class org.tensorflow.op.nn.CudnnRnn

output() - Method in class org.tensorflow.op.nn.DepthToSpace

output() - Method in class org.tensorflow.op.nn.DepthwiseConv2dNative

output() - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter

4-D with shape `[filter_height, filter_width, in_channels, out_channels]`.

output() - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput

4-D with shape according to `data_format`.

output() - Method in class org.tensorflow.op.nn.Dilation2d

4-D with shape `[batch, out_height, out_width, depth]`.

output() - Method in class org.tensorflow.op.nn.FractionalAvgPool

output tensor after fractional avg pooling.

output() - Method in class org.tensorflow.op.nn.FractionalAvgPoolGrad

4-D.

output() - Method in class org.tensorflow.op.nn.FractionalMaxPool

output tensor after fractional max pooling.

output() - Method in class org.tensorflow.op.nn.FractionalMaxPoolGrad

4-D.

output() - Method in class org.tensorflow.op.nn.FusedPadConv2d

output() - Method in class org.tensorflow.op.nn.FusedResizeAndPadConv2d

output() - Method in class org.tensorflow.op.nn.L2Loss

0-D.

output() - Method in class org.tensorflow.op.nn.LocalResponseNormalization

output() - Method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad

The gradients for LRN.

output() - Method in class org.tensorflow.op.nn.MaxPool

The max pooled output tensor.

output() - Method in class org.tensorflow.op.nn.MaxPool3d

The max pooled output tensor.

output() - Method in class org.tensorflow.op.nn.MaxPool3dGrad

output() - Method in class org.tensorflow.op.nn.MaxPool3dGradGrad

Gradients of gradients w.r.t.

output() - Method in class org.tensorflow.op.nn.MaxPoolGrad

Gradients w.r.t.

output() - Method in class org.tensorflow.op.nn.MaxPoolGradGrad

Gradients of gradients w.r.t.

output() - Method in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax

Gradients of gradients w.r.t.

output() - Method in class org.tensorflow.op.nn.MaxPoolGradWithArgmax

Gradients w.r.t.

output() - Method in class org.tensorflow.op.nn.MaxPoolWithArgmax

The max pooled output tensor.

output() - Method in class org.tensorflow.op.nn.QuantizedAvgPool

output() - Method in class org.tensorflow.op.nn.QuantizedBiasAdd

output() - Method in class org.tensorflow.op.nn.QuantizedConv2d

output() - Method in class org.tensorflow.op.nn.QuantizedMaxPool

output() - Method in class org.tensorflow.op.nn.SpaceToBatch

output() - Method in class org.tensorflow.op.nn.SpaceToDepth

output() - Method in class org.tensorflow.op.quantization.Dequantize

output() - Method in class org.tensorflow.op.quantization.Quantize

The quantized data produced from the float input.

output() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantize

output() - Method in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange

output() - Method in class org.tensorflow.op.quantization.Requantize

output() - Method in class org.tensorflow.op.random.Multinomial

2-D Tensor with shape `[batch_size, num_samples]`.

output() - Method in class org.tensorflow.op.random.ParameterizedTruncatedNormal

A matrix of shape num_batches x samples_per_batch, filled with random truncated normal values using the parameters for each row.

output() - Method in class org.tensorflow.op.random.RandomGamma

A tensor with shape `shape + shape(alpha)`.

output() - Method in class org.tensorflow.op.random.RandomGammaGrad

output() - Method in class org.tensorflow.op.random.RandomPoisson

A tensor with shape `shape + shape(rate)`.

output() - Method in class org.tensorflow.op.random.RandomShuffle

A tensor of same shape and type as `value`, shuffled along its first dimension.

output() - Method in class org.tensorflow.op.random.RandomStandardNormal

A tensor of the specified shape filled with random normal values.

output() - Method in class org.tensorflow.op.random.RandomUniform

A tensor of the specified shape filled with uniform random values.

output() - Method in class org.tensorflow.op.random.RandomUniformInt

A tensor of the specified shape filled with uniform random integers.

output() - Method in class org.tensorflow.op.random.StatelessMultinomial

2-D Tensor with shape `[batch_size, num_samples]`.

output() - Method in class org.tensorflow.op.random.StatelessRandomNormal

Random values with specified shape.

output() - Method in class org.tensorflow.op.random.StatelessRandomUniform

Random values with specified shape.

output() - Method in class org.tensorflow.op.random.StatelessRandomUniformInt

Random values with specified shape.

output() - Method in class org.tensorflow.op.random.StatelessTruncatedNormal

Random values with specified shape.

output() - Method in class org.tensorflow.op.random.TruncatedNormal

A tensor of the specified shape filled with random truncated normal values.

output() - Method in class org.tensorflow.op.signal.BatchFft

output() - Method in class org.tensorflow.op.signal.BatchFft2d

output() - Method in class org.tensorflow.op.signal.BatchFft3d

output() - Method in class org.tensorflow.op.signal.BatchIfft

output() - Method in class org.tensorflow.op.signal.BatchIfft2d

output() - Method in class org.tensorflow.op.signal.BatchIfft3d

output() - Method in class org.tensorflow.op.signal.Fft

A complex tensor of the same shape as `input`.

output() - Method in class org.tensorflow.op.signal.Fft2d

A complex tensor of the same shape as `input`.

output() - Method in class org.tensorflow.op.signal.Fft3d

A complex64 tensor of the same shape as `input`.

output() - Method in class org.tensorflow.op.signal.Ifft

A complex tensor of the same shape as `input`.

output() - Method in class org.tensorflow.op.signal.Ifft2d

A complex tensor of the same shape as `input`.

output() - Method in class org.tensorflow.op.signal.Ifft3d

A complex64 tensor of the same shape as `input`.

output() - Method in class org.tensorflow.op.signal.Irfft

A float32 tensor of the same rank as `input`.

output() - Method in class org.tensorflow.op.signal.Irfft2d

A float32 tensor of the same rank as `input`.

output() - Method in class org.tensorflow.op.signal.Irfft3d

A float32 tensor of the same rank as `input`.

output() - Method in class org.tensorflow.op.signal.Rfft

A complex64 tensor of the same rank as `input`.

output() - Method in class org.tensorflow.op.signal.Rfft2d

A complex64 tensor of the same rank as `input`.

output() - Method in class org.tensorflow.op.signal.Rfft3d

A complex64 tensor of the same rank as `input`.

output() - Method in class org.tensorflow.op.sparse.SparseDenseCwiseAdd

1-D.

output() - Method in class org.tensorflow.op.sparse.SparseDenseCwiseDiv

1-D.

output() - Method in class org.tensorflow.op.sparse.SparseDenseCwiseMul

1-D.

output() - Method in class org.tensorflow.op.sparse.SparseReduceMax

`R-K`-D.

output() - Method in class org.tensorflow.op.sparse.SparseReduceSum

`R-K`-D.

output() - Method in class org.tensorflow.op.sparse.SparseSegmentMean

Has same shape as data, except for dimension 0 which has size `k`, the number of segments.

output() - Method in class org.tensorflow.op.sparse.SparseSegmentMeanGrad

output() - Method in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments

Has same shape as data, except for dimension 0 which has size `num_segments`.

output() - Method in class org.tensorflow.op.sparse.SparseSegmentSqrtN

Has same shape as data, except for dimension 0 which has size `k`, the number of segments.

output() - Method in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad

output() - Method in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments

Has same shape as data, except for dimension 0 which has size `k`, the number of segments.

output() - Method in class org.tensorflow.op.sparse.SparseSegmentSum

Has same shape as data, except for dimension 0 which has size `k`, the number of segments.

output() - Method in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments

Has same shape as data, except for dimension 0 which has size `num_segments`.

output() - Method in class org.tensorflow.op.sparse.SparseSoftmax

1-D.

output() - Method in class org.tensorflow.op.sparse.SparseTensorDenseAdd

output() - Method in class org.tensorflow.op.strings.Join

output() - Method in class org.tensorflow.op.strings.ReduceJoin

Has shape equal to that of the input with reduced dimensions removed or set to `1` depending on `keep_dims`.

output() - Method in class org.tensorflow.op.strings.RegexFullMatch

A bool tensor with the same shape as `input`.

output() - Method in class org.tensorflow.op.strings.RegexReplace

The text after applying pattern and rewrite.

output() - Method in class org.tensorflow.op.strings.StaticRegexFullMatch

A bool tensor with the same shape as `input`.

output() - Method in class org.tensorflow.op.strings.StaticRegexReplace

The text after applying pattern and rewrite.

output() - Method in class org.tensorflow.op.strings.StringFormat

= The resulting string scalar.

output() - Method in class org.tensorflow.op.strings.StringLength

Integer tensor that has the same shape as `input`.

output() - Method in class org.tensorflow.op.strings.Strip

A string `Tensor` of the same shape as the input.

output() - Method in class org.tensorflow.op.strings.Substr

Tensor of substrings

output() - Method in class org.tensorflow.op.strings.ToHashBucket

A Tensor of the same shape as the input `string_tensor`.

output() - Method in class org.tensorflow.op.strings.ToHashBucketFast

A Tensor of the same shape as the input `string_tensor`.

output() - Method in class org.tensorflow.op.strings.ToHashBucketStrong

A Tensor of the same shape as the input `string_tensor`.

output() - Method in class org.tensorflow.op.strings.ToNumber

A Tensor of the same shape as the input `string_tensor`.

output() - Method in class org.tensorflow.op.strings.UnicodeScript

A Tensor of int32 script codes corresponding to each input code point.

output() - Method in class org.tensorflow.op.strings.UnicodeTranscode

A string tensor containing unicode text encoded using `output_encoding`.

output() - Method in class org.tensorflow.op.train.PreventGradient

the same input tensor.

output() - Method in class org.tensorflow.op.train.SdcaFprint

a (N,2) shaped matrix where N is the number of elements in the input vector.

output() - Method in class org.tensorflow.op.train.TileGrad

output(int) - Method in class org.tensorflow.Operation

Returns a symbolic handle to one of the tensors produced by this operation.

Output<T> - Class in org.tensorflow

A symbolic handle to a tensor produced by an Operation.

Output(Operation, int) - Constructor for class org.tensorflow.Output

Handle to the idx-th output of the Operation op.

outputC() - Method in class org.tensorflow.op.nn.CudnnRnn

outputDenseValues() - Method in class org.tensorflow.op.core.RaggedGather

The `inner_values` for the returned RaggedTensor.

outputFalse() - Method in class org.tensorflow.op.core.RefSwitch

If `pred` is false, data will be forwarded to this output.

outputFalse() - Method in class org.tensorflow.op.core.SwitchCond

If `pred` is false, data will be forwarded to this output.

outputH() - Method in class org.tensorflow.op.nn.CudnnRnn

outputHandle() - Method in class org.tensorflow.op.core.TensorListFromTensor

outputHandle() - Method in class org.tensorflow.op.core.TensorListPopBack

outputHandle() - Method in class org.tensorflow.op.core.TensorListPushBack

outputHandle() - Method in class org.tensorflow.op.core.TensorListScatter

outputHandle() - Method in class org.tensorflow.op.core.TensorListSetItem

outputHandles() - Method in class org.tensorflow.op.core.TensorListPushBackBatch

outputIndices() - Method in class org.tensorflow.op.sparse.SparseConcat

2-D.

outputIndices() - Method in class org.tensorflow.op.sparse.SparseCross

2-D.

outputIndices() - Method in class org.tensorflow.op.sparse.SparseFillEmptyRows

outputIndices() - Method in class org.tensorflow.op.sparse.SparseReduceMaxSparse

outputIndices() - Method in class org.tensorflow.op.sparse.SparseReduceSumSparse

outputIndices() - Method in class org.tensorflow.op.sparse.SparseReorder

2-D.

outputIndices() - Method in class org.tensorflow.op.sparse.SparseReshape

2-D.

outputIndices() - Method in class org.tensorflow.op.sparse.SparseSlice

outputIndices() - Method in class org.tensorflow.op.sparse.SparseSparseMaximum

2-D.

outputIndices() - Method in class org.tensorflow.op.sparse.SparseSparseMinimum

2-D.

outputIndices() - Method in class org.tensorflow.op.sparse.SparseSplit

outputList(int, int) - Method in class org.tensorflow.Operation

Returns symbolic handles to a list of tensors produced by this operation.

outputListLength(String) - Method in class org.tensorflow.Operation

Returns the size of the list of Tensors produced by this operation.

outputMatrix() - Method in class org.tensorflow.op.linalg.LoadAndRemapMatrix

Output matrix containing existing values loaded from the checkpoint, and with any missing values filled in from initializing_values.

outputMax() - Method in class org.tensorflow.op.core.QuantizedConcat

The float value that the maximum quantized output value represents.

outputMax() - Method in class org.tensorflow.op.core.QuantizedReshape

This value is copied from input_max.

outputMax() - Method in class org.tensorflow.op.quantization.Quantize

The actual maximum scalar value used for the output.

outputMax() - Method in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange

The float value that the maximum quantized output value represents.

outputMax() - Method in class org.tensorflow.op.quantization.RequantizationRange

the computed max output.

outputMax() - Method in class org.tensorflow.op.quantization.Requantize

The requested_output_max value is copied into this output.

outputMin() - Method in class org.tensorflow.op.core.QuantizedConcat

The float value that the minimum quantized output value represents.

outputMin() - Method in class org.tensorflow.op.core.QuantizedReshape

This value is copied from input_min.

outputMin() - Method in class org.tensorflow.op.quantization.Quantize

The actual minimum scalar value used for the output.

outputMin() - Method in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange

The float value that the minimum quantized output value represents.

outputMin() - Method in class org.tensorflow.op.quantization.RequantizationRange

The computed min output.

outputMin() - Method in class org.tensorflow.op.quantization.Requantize

The requested_output_min value is copied into this output.

outputNestedSplits() - Method in class org.tensorflow.op.core.RaggedGather

The `nested_row_splits` tensors that define the row-partitioning for the returned RaggedTensor.

outputRangeGiven(Boolean) - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm.Options

outputRangeGiven(Boolean) - Static method in class org.tensorflow.op.nn.QuantizedInstanceNorm

outputRef() - Method in class org.tensorflow.op.core.Assign

= Same as "ref".

outputRef() - Method in class org.tensorflow.op.core.AssignAdd

= Same as "ref".

outputRef() - Method in class org.tensorflow.op.core.AssignSub

= Same as "ref".

outputRef() - Method in class org.tensorflow.op.core.ScatterAdd

= Same as `ref`.

outputRef() - Method in class org.tensorflow.op.core.ScatterDiv

= Same as `ref`.

outputRef() - Method in class org.tensorflow.op.core.ScatterMax

= Same as `ref`.

outputRef() - Method in class org.tensorflow.op.core.ScatterMin

= Same as `ref`.

outputRef() - Method in class org.tensorflow.op.core.ScatterMul

= Same as `ref`.

outputRef() - Method in class org.tensorflow.op.core.ScatterNdAdd

Same as ref.

outputRef() - Method in class org.tensorflow.op.core.ScatterNdSub

Same as ref.

outputRef() - Method in class org.tensorflow.op.core.ScatterNdUpdate

Same as ref.

outputRef() - Method in class org.tensorflow.op.core.ScatterSub

= Same as `ref`.

outputRef() - Method in class org.tensorflow.op.core.ScatterUpdate

= Same as `ref`.

outputRef() - Method in class org.tensorflow.op.core.StridedSliceAssign

outputs - Variable in class org.tensorflow.Session.Run

Tensors from requested fetches.

outputs() - Method in class org.tensorflow.op.core.DynamicPartition

outputs() - Method in class org.tensorflow.op.core.RemoteFusedGraphExecute

Arbitrary number of tensors with arbitrary data types

outputs() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs

outputs() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars

outputs() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel

outputShape() - Method in class org.tensorflow.op.sparse.SparseConcat

1-D.

outputShape() - Method in class org.tensorflow.op.sparse.SparseCross

1-D.

outputShape() - Method in class org.tensorflow.op.sparse.SparseReduceMaxSparse

outputShape() - Method in class org.tensorflow.op.sparse.SparseReduceSumSparse

outputShape() - Method in class org.tensorflow.op.sparse.SparseReshape

1-D.

outputShape() - Method in class org.tensorflow.op.sparse.SparseSlice

A list of 1-D tensors represents the shape of the output sparse tensors.

outputShape() - Method in class org.tensorflow.op.sparse.SparseSplit

A list of 1-D tensors represents the shape of the output sparse tensors.

outputShapes(List<Shape>) - Method in class org.tensorflow.op.data.IteratorFromStringHandle.Options

outputShapes(List<Shape>) - Static method in class org.tensorflow.op.data.IteratorFromStringHandle

outputShapes(List<Shape>) - Method in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle.Options

outputShapes(List<Shape>) - Static method in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle

outputStream(String) - Method in class org.tensorflow.op.core.Print.Options

outputStream(String) - Static method in class org.tensorflow.op.core.Print

outputTrue() - Method in class org.tensorflow.op.core.RefSwitch

If `pred` is true, data will be forwarded to this output.

outputTrue() - Method in class org.tensorflow.op.core.SwitchCond

If `pred` is true, data will be forwarded to this output.

outputValues() - Method in class org.tensorflow.op.sparse.SparseConcat

1-D.

outputValues() - Method in class org.tensorflow.op.sparse.SparseCross

1-D.

outputValues() - Method in class org.tensorflow.op.sparse.SparseFillEmptyRows

1-D.

outputValues() - Method in class org.tensorflow.op.sparse.SparseReduceMaxSparse

outputValues() - Method in class org.tensorflow.op.sparse.SparseReduceSumSparse

outputValues() - Method in class org.tensorflow.op.sparse.SparseReorder

1-D.

outputValues() - Method in class org.tensorflow.op.sparse.SparseSlice

A list of 1-D tensors represents the values of the output sparse tensors.

outputValues() - Method in class org.tensorflow.op.sparse.SparseSparseMaximum

1-D.

outputValues() - Method in class org.tensorflow.op.sparse.SparseSparseMinimum

1-D.

outputValues() - Method in class org.tensorflow.op.sparse.SparseSplit

A list of 1-D tensors represents the values of the output sparse tensors.

overlapping(Boolean) - Method in class org.tensorflow.op.nn.FractionalAvgPool.Options

overlapping(Boolean) - Static method in class org.tensorflow.op.nn.FractionalAvgPool

overlapping(Boolean) - Method in class org.tensorflow.op.nn.FractionalAvgPoolGrad.Options

overlapping(Boolean) - Static method in class org.tensorflow.op.nn.FractionalAvgPoolGrad

overlapping(Boolean) - Method in class org.tensorflow.op.nn.FractionalMaxPool.Options

overlapping(Boolean) - Static method in class org.tensorflow.op.nn.FractionalMaxPool

overlapping(Boolean) - Method in class org.tensorflow.op.nn.FractionalMaxPoolGrad.Options

overlapping(Boolean) - Static method in class org.tensorflow.op.nn.FractionalMaxPoolGrad

P

pad(Boolean) - Method in class org.tensorflow.op.io.EncodeBase64.Options

pad(Boolean) - Static method in class org.tensorflow.op.io.EncodeBase64

pad(Operand<T>, Operand<U>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Pad operation to the graph

Pad<T> - Class in org.tensorflow.op.core

Pads a tensor.

PaddedBatchDataset - Class in org.tensorflow.op.data

Creates a dataset that batches and pads `batch_size` elements from the input.

paddingFifoQueue(List<Class<?>>, PaddingFifoQueue.Options...) - Method in class org.tensorflow.op.IoOps

Adds an PaddingFifoQueue operation to the graph

PaddingFifoQueue - Class in org.tensorflow.op.io

A queue that produces elements in first-in first-out order.

PaddingFifoQueue.Options - Class in org.tensorflow.op.io

Optional attributes for PaddingFifoQueue

padToMaxOutputSize(Boolean) - Method in class org.tensorflow.op.image.NonMaxSuppression.Options

padToMaxOutputSize(Boolean) - Static method in class org.tensorflow.op.image.NonMaxSuppression

parallelConcat(Operand<T>, Shape) - Method in class org.tensorflow.op.Ops

Adds an ParallelConcat operation to the graph

ParallelConcat<T> - Class in org.tensorflow.op.core

Concatenates a list of `N` tensors along the first dimension.

parallelDynamicStitch(Iterable<Operand<Integer>>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an ParallelDynamicStitch operation to the graph

ParallelDynamicStitch<T> - Class in org.tensorflow.op.core

Interleave the values from the `data` tensors into a single tensor.

parallelIterations(Long) - Method in class org.tensorflow.op.core.Enter.Options

parallelIterations(Long) - Static method in class org.tensorflow.op.core.Enter

parallelIterations(Long) - Method in class org.tensorflow.op.core.RefEnter.Options

parallelIterations(Long) - Static method in class org.tensorflow.op.core.RefEnter

parameterizedTruncatedNormal(Operand<T>, Operand<U>, Operand<U>, Operand<U>, Operand<U>, ParameterizedTruncatedNormal.Options...) - Method in class org.tensorflow.op.RandomOps

Adds an ParameterizedTruncatedNormal operation to the graph

ParameterizedTruncatedNormal<U extends java.lang.Number> - Class in org.tensorflow.op.random

Outputs random values from a normal distribution.

ParameterizedTruncatedNormal.Options - Class in org.tensorflow.op.random

Optional attributes for ParameterizedTruncatedNormal

params() - Method in class org.tensorflow.op.nn.CudnnRnnCanonicalToParams

paramsBackprop() - Method in class org.tensorflow.op.nn.CudnnRnnBackprop

paramsSize() - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize

parseExample(Operand<String>, Operand<String>, Iterable<Operand<String>>, Iterable<Operand<String>>, Iterable<Operand<?>>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.IoOps

Adds an ParseExample operation to the graph

ParseExample - Class in org.tensorflow.op.io

Transforms a vector of brain.Example protos (as strings) into typed tensors.

parseExampleDataset(Operand<?>, Operand<Long>, Iterable<Operand<?>>, List<String>, List<String>, List<Class<?>>, List<Shape>, List<Class<?>>, List<Shape>, ParseExampleDataset.Options...) - Method in class org.tensorflow.op.DataOps

Adds an ParseExampleDataset operation to the graph

ParseExampleDataset - Class in org.tensorflow.op.data

Transforms `input_dataset` containing `Example` protos as vectors of DT_STRING into a dataset of `Tensor` or `SparseTensor` objects representing the parsed features.

ParseExampleDataset.Options - Class in org.tensorflow.op.data

Optional attributes for ParseExampleDataset

parseSequenceExample(Operand<String>, Operand<String>, Iterable<Operand<?>>, List<String>, List<String>, List<String>, List<String>, List<String>, List<Class<?>>, List<Class<?>>, List<Class<?>>, ParseSequenceExample.Options...) - Method in class org.tensorflow.op.IoOps

Adds an ParseSequenceExample operation to the graph

ParseSequenceExample - Class in org.tensorflow.op.io

Transforms a vector of brain.SequenceExample protos (as strings) into typed tensors.

ParseSequenceExample.Options - Class in org.tensorflow.op.io

Optional attributes for ParseSequenceExample

parseSingleExample(Operand<String>, Iterable<Operand<?>>, Long, List<String>, List<String>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.IoOps

Adds an ParseSingleExample operation to the graph

ParseSingleExample - Class in org.tensorflow.op.io

Transforms a tf.Example proto (as a string) into typed tensors.

parseSingleSequenceExample(Operand<String>, Operand<String>, Iterable<Operand<String>>, Iterable<Operand<String>>, Iterable<Operand<String>>, Iterable<Operand<String>>, Iterable<Operand<?>>, Operand<String>, List<Class<?>>, List<Class<?>>, List<Class<?>>, ParseSingleSequenceExample.Options...) - Method in class org.tensorflow.op.IoOps

Adds an ParseSingleSequenceExample operation to the graph

ParseSingleSequenceExample - Class in org.tensorflow.op.io

Transforms a scalar brain.SequenceExample proto (as strings) into typed tensors.

ParseSingleSequenceExample.Options - Class in org.tensorflow.op.io

Optional attributes for ParseSingleSequenceExample

parseTensor(Operand<String>, Class<T>) - Method in class org.tensorflow.op.IoOps

Adds an ParseTensor operation to the graph

ParseTensor<T> - Class in org.tensorflow.op.io

Transforms a serialized tensorflow.TensorProto proto into a Tensor.

partialLogits() - Method in class org.tensorflow.op.core.BoostedTreesTrainingPredict

Rank 2 Tensor containing logits update (with respect to cached values stored) for each example.

partitions() - Method in class org.tensorflow.op.core.GenerateBigQueryReaderPartitions

Serialized table partitions.

patches() - Method in class org.tensorflow.op.core.ExtractVolumePatches

5-D Tensor with shape `[batch, out_planes, out_rows, out_cols, ksize_planes * ksize_rows * ksize_cols * depth]` containing patches with size `ksize_planes x ksize_rows x ksize_cols x depth` vectorized in the "depth" dimension.

patches() - Method in class org.tensorflow.op.image.ExtractImagePatches

4-D Tensor with shape `[batch, out_rows, out_cols, ksize_rows * ksize_cols * depth]` containing image patches with size `ksize_rows x ksize_cols x depth` vectorized in the "depth" dimension.

placeholder(Class<T>, Placeholder.Options...) - Method in class org.tensorflow.op.Ops

Adds an Placeholder operation to the graph

placeholder(String) - Method in class org.tensorflow.op.strings.StringFormat.Options

placeholder(String) - Static method in class org.tensorflow.op.strings.StringFormat

Placeholder<T> - Class in org.tensorflow.op.core

A placeholder op for a value that will be fed into the computation.

Placeholder.Options - Class in org.tensorflow.op.core

Optional attributes for Placeholder

placeholderWithDefault(Operand<T>, Shape) - Method in class org.tensorflow.op.Ops

Adds an PlaceholderWithDefault operation to the graph

PlaceholderWithDefault<T> - Class in org.tensorflow.op.core

A placeholder op that passes through `input` when its output is not fed.

polygamma(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Polygamma operation to the graph

Polygamma<T extends java.lang.Number> - Class in org.tensorflow.op.math

Compute the polygamma function \\(\psi^{(n)}(x)\\).

populationCount(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an PopulationCount operation to the graph

PopulationCount - Class in org.tensorflow.op.math

Computes element-wise population count (a.k.a.

pow(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Pow operation to the graph

Pow<T> - Class in org.tensorflow.op.math

Computes the power of one value to another.

precision() - Method in class org.tensorflow.op.nn.InTopK

Computed precision at `k` as a `bool Tensor`.

precision(Long) - Method in class org.tensorflow.op.dtypes.AsString.Options

precision(Long) - Static method in class org.tensorflow.op.dtypes.AsString

preferredShard(Long) - Method in class org.tensorflow.op.train.RestoreSlice.Options

preferredShard(Long) - Static method in class org.tensorflow.op.train.RestoreSlice

prefetchDataset(Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.DataOps

Adds an PrefetchDataset operation to the graph

PrefetchDataset - Class in org.tensorflow.op.data

Creates a dataset that asynchronously prefetches elements from `input_dataset`.

prependFromQueueAndPaddedBatchDataset(Operand<?>, Operand<Long>, Iterable<Operand<Long>>, Iterable<Operand<?>>, List<Shape>) - Method in class org.tensorflow.op.DataOps

Adds an PrependFromQueueAndPaddedBatchDataset operation to the graph

PrependFromQueueAndPaddedBatchDataset - Class in org.tensorflow.op.data

preprocessCollapseRepeated(Boolean) - Method in class org.tensorflow.op.nn.CtcLoss.Options

preprocessCollapseRepeated(Boolean) - Static method in class org.tensorflow.op.nn.CtcLoss

preventGradient(Operand<T>, PreventGradient.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an PreventGradient operation to the graph

PreventGradient<T> - Class in org.tensorflow.op.train

An identity op that triggers an error if a gradient is requested.

PreventGradient.Options - Class in org.tensorflow.op.train

Optional attributes for PreventGradient

PrimitiveOp - Class in org.tensorflow.op

A base class for Op implementations that are backed by a single Operation.

PrimitiveOp(Operation) - Constructor for class org.tensorflow.op.PrimitiveOp

Constructor.

print(Operand<String>, Print.Options...) - Method in class org.tensorflow.op.Ops

Adds an Print operation to the graph

Print - Class in org.tensorflow.op.core

Prints a string scalar.

Print.Options - Class in org.tensorflow.op.core

Optional attributes for Print

priorityQueue(List<Class<?>>, List<Shape>, PriorityQueue.Options...) - Method in class org.tensorflow.op.IoOps

Adds an PriorityQueue operation to the graph

PriorityQueue - Class in org.tensorflow.op.io

A queue that produces elements sorted by the first component value.

PriorityQueue.Options - Class in org.tensorflow.op.io

Optional attributes for PriorityQueue

prod(Operand<T>, Operand<U>, Prod.Options...) - Method in class org.tensorflow.op.Ops

Adds an Prod operation to the graph

Prod<T> - Class in org.tensorflow.op.core

Computes the product of elements across dimensions of a tensor.

Prod.Options - Class in org.tensorflow.op.core

Optional attributes for Prod

product() - Method in class org.tensorflow.op.linalg.Cross

Pairwise cross product of the vectors in `a` and `b`.

product() - Method in class org.tensorflow.op.linalg.MatMul

product() - Method in class org.tensorflow.op.sparse.SparseMatMul

product() - Method in class org.tensorflow.op.sparse.SparseTensorDenseMatMul

progressive(Boolean) - Method in class org.tensorflow.op.image.EncodeJpeg.Options

progressive(Boolean) - Static method in class org.tensorflow.op.image.EncodeJpeg

protocol(String) - Method in class org.tensorflow.op.core.Rpc.Options

protocol(String) - Static method in class org.tensorflow.op.core.Rpc

protocol(String) - Method in class org.tensorflow.op.core.TryRpc.Options

protocol(String) - Static method in class org.tensorflow.op.core.TryRpc

pseudoRandom(Boolean) - Method in class org.tensorflow.op.nn.FractionalAvgPool.Options

pseudoRandom(Boolean) - Static method in class org.tensorflow.op.nn.FractionalAvgPool

pseudoRandom(Boolean) - Method in class org.tensorflow.op.nn.FractionalMaxPool.Options

pseudoRandom(Boolean) - Static method in class org.tensorflow.op.nn.FractionalMaxPool

Q

q() - Method in class org.tensorflow.op.linalg.Qr

Orthonormal basis for range of `a`.

qr(Operand<T>, Qr.Options...) - Method in class org.tensorflow.op.LinalgOps

Adds an Qr operation to the graph

Qr<T> - Class in org.tensorflow.op.linalg

Computes the QR decompositions of one or more matrices.

Qr.Options - Class in org.tensorflow.op.linalg

Optional attributes for Qr

quality(Long) - Method in class org.tensorflow.op.image.EncodeJpeg.Options

quality(Long) - Static method in class org.tensorflow.op.image.EncodeJpeg

quantization - Variable in class org.tensorflow.op.Ops

quantization() - Method in class org.tensorflow.op.Ops

Returns an API for adding quantization operations to the graph

QuantizationOps - Class in org.tensorflow.op

An API for adding quantization operations to a Graph

quantize(Operand<Float>, Operand<Float>, Operand<Float>, Class<T>, Quantize.Options...) - Method in class org.tensorflow.op.QuantizationOps

Adds an Quantize operation to the graph

Quantize<T> - Class in org.tensorflow.op.quantization

Quantize the 'input' tensor of type float to 'output' tensor of type 'T'.

Quantize.Options - Class in org.tensorflow.op.quantization

Optional attributes for Quantize

quantizeAndDequantize(Operand<T>, Operand<T>, Operand<T>, Operand<Integer>, QuantizeAndDequantize.Options...) - Method in class org.tensorflow.op.QuantizationOps

Adds an QuantizeAndDequantize operation to the graph

QuantizeAndDequantize<T extends java.lang.Number> - Class in org.tensorflow.op.quantization

Quantizes then dequantizes a tensor.

QuantizeAndDequantize.Options - Class in org.tensorflow.op.quantization

Optional attributes for QuantizeAndDequantize

quantizedAdd(Operand<T>, Operand<U>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<V>) - Method in class org.tensorflow.op.MathOps

Adds an QuantizedAdd operation to the graph

QuantizedAdd<V> - Class in org.tensorflow.op.math

Returns x + y element-wise, working on quantized buffers.

quantizedAvgPool(Operand<T>, Operand<Float>, Operand<Float>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.NnOps

Adds an QuantizedAvgPool operation to the graph

QuantizedAvgPool<T> - Class in org.tensorflow.op.nn

Produces the average pool of the input tensor for quantized types.

quantizedBatchNormWithGlobalNormalization(Operand<T>, Operand<Float>, Operand<Float>, Operand<T>, Operand<Float>, Operand<Float>, Operand<T>, Operand<Float>, Operand<Float>, Operand<T>, Operand<Float>, Operand<Float>, Operand<T>, Operand<Float>, Operand<Float>, Class<U>, Float, Boolean) - Method in class org.tensorflow.op.NnOps

Adds an QuantizedBatchNormWithGlobalNormalization operation to the graph

QuantizedBatchNormWithGlobalNormalization<U> - Class in org.tensorflow.op.nn

Quantized Batch normalization.

quantizedBiasAdd(Operand<T>, Operand<U>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<V>) - Method in class org.tensorflow.op.NnOps

Adds an QuantizedBiasAdd operation to the graph

QuantizedBiasAdd<V> - Class in org.tensorflow.op.nn

Adds Tensor 'bias' to Tensor 'input' for Quantized types.

quantizedConcat(Operand<Integer>, Operand<T>, Iterable<Operand<Float>>, Iterable<Operand<Float>>) - Method in class org.tensorflow.op.Ops

Adds an QuantizedConcat operation to the graph

QuantizedConcat<T> - Class in org.tensorflow.op.core

Concatenates quantized tensors along one dimension.

quantizedConv2d(Operand<T>, Operand<U>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<V>, List<Long>, String, QuantizedConv2d.Options...) - Method in class org.tensorflow.op.NnOps

Adds an QuantizedConv2d operation to the graph

QuantizedConv2d<V> - Class in org.tensorflow.op.nn

Computes a 2D convolution given quantized 4D input and filter tensors.

QuantizedConv2d.Options - Class in org.tensorflow.op.nn

Optional attributes for QuantizedConv2d

quantizedInstanceNorm(Operand<T>, Operand<Float>, Operand<Float>, QuantizedInstanceNorm.Options...) - Method in class org.tensorflow.op.NnOps

Adds an QuantizedInstanceNorm operation to the graph

QuantizedInstanceNorm<T> - Class in org.tensorflow.op.nn

Quantized Instance normalization.

QuantizedInstanceNorm.Options - Class in org.tensorflow.op.nn

Optional attributes for QuantizedInstanceNorm

quantizedMatMul(Operand<T>, Operand<U>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<V>, Class<W>, QuantizedMatMul.Options...) - Method in class org.tensorflow.op.LinalgOps

Adds an QuantizedMatMul operation to the graph

QuantizedMatMul<V> - Class in org.tensorflow.op.linalg

Perform a quantized matrix multiplication of `a` by the matrix `b`.

QuantizedMatMul.Options - Class in org.tensorflow.op.linalg

Optional attributes for QuantizedMatMul

quantizedMaxPool(Operand<T>, Operand<Float>, Operand<Float>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.NnOps

Adds an QuantizedMaxPool operation to the graph

QuantizedMaxPool<T> - Class in org.tensorflow.op.nn

Produces the max pool of the input tensor for quantized types.

quantizedMul(Operand<T>, Operand<U>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<V>) - Method in class org.tensorflow.op.MathOps

Adds an QuantizedMul operation to the graph

QuantizedMul<V> - Class in org.tensorflow.op.math

Returns x * y element-wise, working on quantized buffers.

quantizeDownAndShrinkRange(Operand<T>, Operand<Float>, Operand<Float>, Class<U>) - Method in class org.tensorflow.op.QuantizationOps

Adds an QuantizeDownAndShrinkRange operation to the graph

QuantizeDownAndShrinkRange<U> - Class in org.tensorflow.op.quantization

Convert the quantized 'input' tensor into a lower-precision 'output', using the

quantizedRelu(Operand<T>, Operand<Float>, Operand<Float>, Class<U>) - Method in class org.tensorflow.op.NnOps

Adds an QuantizedRelu operation to the graph

QuantizedRelu<U> - Class in org.tensorflow.op.nn

Computes Quantized Rectified Linear: `max(features, 0)`

quantizedRelu6(Operand<T>, Operand<Float>, Operand<Float>, Class<U>) - Method in class org.tensorflow.op.NnOps

Adds an QuantizedRelu6 operation to the graph

QuantizedRelu6<U> - Class in org.tensorflow.op.nn

Computes Quantized Rectified Linear 6: `min(max(features, 0), 6)`

quantizedReluX(Operand<T>, Operand<Float>, Operand<Float>, Operand<Float>, Class<U>) - Method in class org.tensorflow.op.NnOps

Adds an QuantizedReluX operation to the graph

QuantizedReluX<U> - Class in org.tensorflow.op.nn

Computes Quantized Rectified Linear X: `min(max(features, 0), max_value)`

quantizedReshape(Operand<T>, Operand<U>, Operand<Float>, Operand<Float>) - Method in class org.tensorflow.op.Ops

Adds an QuantizedReshape operation to the graph

QuantizedReshape<T> - Class in org.tensorflow.op.core

Reshapes a quantized tensor as per the Reshape op.

quantizedResizeBilinear(Operand<T>, Operand<Integer>, Operand<Float>, Operand<Float>, QuantizedResizeBilinear.Options...) - Method in class org.tensorflow.op.ImageOps

Adds an QuantizedResizeBilinear operation to the graph

QuantizedResizeBilinear<T> - Class in org.tensorflow.op.image

Resize quantized `images` to `size` using quantized bilinear interpolation.

QuantizedResizeBilinear.Options - Class in org.tensorflow.op.image

Optional attributes for QuantizedResizeBilinear

queueClose(Operand<?>, QueueClose.Options...) - Method in class org.tensorflow.op.IoOps

Adds an QueueClose operation to the graph

QueueClose - Class in org.tensorflow.op.io

Closes the given queue.

QueueClose.Options - Class in org.tensorflow.op.io

Optional attributes for QueueClose

queueDequeue(Operand<?>, List<Class<?>>, QueueDequeue.Options...) - Method in class org.tensorflow.op.IoOps

Adds an QueueDequeue operation to the graph

QueueDequeue - Class in org.tensorflow.op.io

Dequeues a tuple of one or more tensors from the given queue.

QueueDequeue.Options - Class in org.tensorflow.op.io

Optional attributes for QueueDequeue

queueDequeueMany(Operand<?>, Operand<Integer>, List<Class<?>>, QueueDequeueMany.Options...) - Method in class org.tensorflow.op.IoOps

Adds an QueueDequeueMany operation to the graph

QueueDequeueMany - Class in org.tensorflow.op.io

Dequeues `n` tuples of one or more tensors from the given queue.

QueueDequeueMany.Options - Class in org.tensorflow.op.io

Optional attributes for QueueDequeueMany

queueDequeueUpTo(Operand<?>, Operand<Integer>, List<Class<?>>, QueueDequeueUpTo.Options...) - Method in class org.tensorflow.op.IoOps

Adds an QueueDequeueUpTo operation to the graph

QueueDequeueUpTo - Class in org.tensorflow.op.io

Dequeues `n` tuples of one or more tensors from the given queue.

QueueDequeueUpTo.Options - Class in org.tensorflow.op.io

Optional attributes for QueueDequeueUpTo

queueEnqueue(Operand<?>, Iterable<Operand<?>>, QueueEnqueue.Options...) - Method in class org.tensorflow.op.IoOps

Adds an QueueEnqueue operation to the graph

QueueEnqueue - Class in org.tensorflow.op.io

Enqueues a tuple of one or more tensors in the given queue.

QueueEnqueue.Options - Class in org.tensorflow.op.io

Optional attributes for QueueEnqueue

queueEnqueueMany(Operand<?>, Iterable<Operand<?>>, QueueEnqueueMany.Options...) - Method in class org.tensorflow.op.IoOps

Adds an QueueEnqueueMany operation to the graph

QueueEnqueueMany - Class in org.tensorflow.op.io

Enqueues zero or more tuples of one or more tensors in the given queue.

QueueEnqueueMany.Options - Class in org.tensorflow.op.io

Optional attributes for QueueEnqueueMany

queueIsClosed(Operand<?>) - Method in class org.tensorflow.op.IoOps

Adds an QueueIsClosed operation to the graph

QueueIsClosed - Class in org.tensorflow.op.io

Returns true if queue is closed.

queueSize(Operand<?>) - Method in class org.tensorflow.op.IoOps

Adds an QueueSize operation to the graph

QueueSize - Class in org.tensorflow.op.io

Computes the number of elements in the given queue.

R

r() - Method in class org.tensorflow.op.linalg.Qr

Triangular factor.

r0() - Method in class org.tensorflow.op.core.BroadcastDynamicShape

r0() - Method in class org.tensorflow.op.core.BroadcastGradientArgs

r1() - Method in class org.tensorflow.op.core.BroadcastGradientArgs

RaggedGather<T> - Class in org.tensorflow.op.core

Gather ragged slices from `params` axis `0` according to `indices`.

RaggedRange<T extends java.lang.Number> - Class in org.tensorflow.op.core

Returns a `RaggedTensor` containing the specified sequences of numbers.

RaggedTensorToSparse<T> - Class in org.tensorflow.op.core

Converts a `RaggedTensor` into a `SparseTensor` with the same values.

random - Variable in class org.tensorflow.op.Ops

random() - Method in class org.tensorflow.op.Ops

Returns an API for adding random operations to the graph

randomCrop(Operand<T>, Operand<Long>, RandomCrop.Options...) - Method in class org.tensorflow.op.ImageOps

Adds an RandomCrop operation to the graph

RandomCrop<T extends java.lang.Number> - Class in org.tensorflow.op.image

Randomly crop `image`.

RandomCrop.Options - Class in org.tensorflow.op.image

Optional attributes for RandomCrop

randomDataset(Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.DataOps

Adds an RandomDataset operation to the graph

RandomDataset - Class in org.tensorflow.op.data

Creates a Dataset that returns pseudorandom numbers.

randomGamma(Operand<T>, Operand<U>, RandomGamma.Options...) - Method in class org.tensorflow.op.RandomOps

Adds an RandomGamma operation to the graph

RandomGamma<U extends java.lang.Number> - Class in org.tensorflow.op.random

Outputs random values from the Gamma distribution(s) described by alpha.

RandomGamma.Options - Class in org.tensorflow.op.random

Optional attributes for RandomGamma

RandomGammaGrad<T extends java.lang.Number> - Class in org.tensorflow.op.random

Computes the derivative of a Gamma random sample w.r.t.

RandomOps - Class in org.tensorflow.op

An API for adding random operations to a Graph

randomPoisson(Operand<T>, Operand<U>, Class<V>, RandomPoisson.Options...) - Method in class org.tensorflow.op.RandomOps

Adds an RandomPoisson operation to the graph

randomPoisson(Operand<T>, Operand<U>, RandomPoisson.Options...) - Method in class org.tensorflow.op.RandomOps

Adds an RandomPoisson operation to the graph

RandomPoisson<V extends java.lang.Number> - Class in org.tensorflow.op.random

Outputs random values from the Poisson distribution(s) described by rate.

RandomPoisson.Options - Class in org.tensorflow.op.random

Optional attributes for RandomPoisson

randomShuffle(Operand<T>, RandomShuffle.Options...) - Method in class org.tensorflow.op.RandomOps

Adds an RandomShuffle operation to the graph

RandomShuffle<T> - Class in org.tensorflow.op.random

Randomly shuffles a tensor along its first dimension.

RandomShuffle.Options - Class in org.tensorflow.op.random

Optional attributes for RandomShuffle

randomShuffleQueue(List<Class<?>>, RandomShuffleQueue.Options...) - Method in class org.tensorflow.op.IoOps

Adds an RandomShuffleQueue operation to the graph

RandomShuffleQueue - Class in org.tensorflow.op.io

A queue that randomizes the order of elements.

RandomShuffleQueue.Options - Class in org.tensorflow.op.io

Optional attributes for RandomShuffleQueue

randomStandardNormal(Operand<T>, Class<U>, RandomStandardNormal.Options...) - Method in class org.tensorflow.op.RandomOps

Adds an RandomStandardNormal operation to the graph

RandomStandardNormal<U extends java.lang.Number> - Class in org.tensorflow.op.random

Outputs random values from a normal distribution.

RandomStandardNormal.Options - Class in org.tensorflow.op.random

Optional attributes for RandomStandardNormal

randomUniform(Operand<T>, Class<U>, RandomUniform.Options...) - Method in class org.tensorflow.op.RandomOps

Adds an RandomUniform operation to the graph

RandomUniform<U extends java.lang.Number> - Class in org.tensorflow.op.random

Outputs random values from a uniform distribution.

RandomUniform.Options - Class in org.tensorflow.op.random

Optional attributes for RandomUniform

randomUniformInt(Operand<T>, Operand<U>, Operand<U>, RandomUniformInt.Options...) - Method in class org.tensorflow.op.RandomOps

Adds an RandomUniformInt operation to the graph

RandomUniformInt<U extends java.lang.Number> - Class in org.tensorflow.op.random

Outputs random integers from a uniform distribution.

RandomUniformInt.Options - Class in org.tensorflow.op.random

Optional attributes for RandomUniformInt

range(Operand<T>, Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Range operation to the graph

Range<T extends java.lang.Number> - Class in org.tensorflow.op.core

Creates a sequence of numbers.

rangeDataset(Operand<Long>, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.DataOps

Adds an RangeDataset operation to the graph

RangeDataset - Class in org.tensorflow.op.data

Creates a dataset with a range of values.

rangeGiven(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantize.Options

rangeGiven(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantize

rank(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Rank operation to the graph

Rank - Class in org.tensorflow.op.core

Returns the rank of a tensor.

ratio(Long) - Method in class org.tensorflow.op.image.DecodeAndCropJpeg.Options

ratio(Long) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg

ratio(Long) - Method in class org.tensorflow.op.image.DecodeJpeg.Options

ratio(Long) - Static method in class org.tensorflow.op.image.DecodeJpeg

readerHandle() - Method in class org.tensorflow.op.io.BigQueryReader

The handle to reference the Reader.

readerHandle() - Method in class org.tensorflow.op.io.FixedLengthRecordReader

The handle to reference the Reader.

readerHandle() - Method in class org.tensorflow.op.io.IdentityReader

The handle to reference the Reader.

readerHandle() - Method in class org.tensorflow.op.io.LmdbReader

The handle to reference the Reader.

readerHandle() - Method in class org.tensorflow.op.io.TextLineReader

The handle to reference the Reader.

readerHandle() - Method in class org.tensorflow.op.io.TfRecordReader

The handle to reference the Reader.

readerHandle() - Method in class org.tensorflow.op.io.WholeFileReader

The handle to reference the Reader.

readerNumRecordsProduced(Operand<?>) - Method in class org.tensorflow.op.IoOps

Adds an ReaderNumRecordsProduced operation to the graph

ReaderNumRecordsProduced - Class in org.tensorflow.op.io

Returns the number of records this Reader has produced.

readerNumWorkUnitsCompleted(Operand<?>) - Method in class org.tensorflow.op.IoOps

Adds an ReaderNumWorkUnitsCompleted operation to the graph

ReaderNumWorkUnitsCompleted - Class in org.tensorflow.op.io

Returns the number of work units this Reader has finished processing.

readerRead(Operand<?>, Operand<?>) - Method in class org.tensorflow.op.IoOps

Adds an ReaderRead operation to the graph

ReaderRead - Class in org.tensorflow.op.io

Returns the next record (key, value pair) produced by a Reader.

readerReadUpTo(Operand<?>, Operand<?>, Operand<Long>) - Method in class org.tensorflow.op.IoOps

Adds an ReaderReadUpTo operation to the graph

ReaderReadUpTo - Class in org.tensorflow.op.io

Returns up to `num_records` (key, value) pairs produced by a Reader.

readerReset(Operand<?>) - Method in class org.tensorflow.op.IoOps

Adds an ReaderReset operation to the graph

ReaderReset - Class in org.tensorflow.op.io

Restore a Reader to its initial clean state.

readerRestoreState(Operand<?>, Operand<String>) - Method in class org.tensorflow.op.IoOps

Adds an ReaderRestoreState operation to the graph

ReaderRestoreState - Class in org.tensorflow.op.io

Restore a reader to a previously saved state.

readerSerializeState(Operand<?>) - Method in class org.tensorflow.op.IoOps

Adds an ReaderSerializeState operation to the graph

ReaderSerializeState - Class in org.tensorflow.op.io

Produce a string tensor that encodes the state of a Reader.

readFile(Operand<String>) - Method in class org.tensorflow.op.IoOps

Adds an ReadFile operation to the graph

ReadFile - Class in org.tensorflow.op.io

Reads and outputs the entire contents of the input filename.

readVariableOp(Operand<?>, Class<T>) - Method in class org.tensorflow.op.Ops

Adds an ReadVariableOp operation to the graph

ReadVariableOp<T> - Class in org.tensorflow.op.core

Reads the value of a variable.

real(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Real operation to the graph

real(Operand<T>, Class<U>) - Method in class org.tensorflow.op.MathOps

Adds an Real operation to the graph

Real<U extends java.lang.Number> - Class in org.tensorflow.op.math

Returns the real part of a complex number.

realDiv(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an RealDiv operation to the graph

RealDiv<T> - Class in org.tensorflow.op.math

Returns x / y element-wise for real types.

reciprocal(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Reciprocal operation to the graph

Reciprocal<T> - Class in org.tensorflow.op.math

Computes the reciprocal of x element-wise.

ReciprocalGrad<T> - Class in org.tensorflow.op.math

Computes the gradient for the inverse of `x` wrt its input.

recordInput(String, RecordInput.Options...) - Method in class org.tensorflow.op.RandomOps

Adds an RecordInput operation to the graph

RecordInput - Class in org.tensorflow.op.random

Emits randomized records.

RecordInput.Options - Class in org.tensorflow.op.random

Optional attributes for RecordInput

records() - Method in class org.tensorflow.op.random.RecordInput

A tensor of shape [batch_size].

recordsProduced() - Method in class org.tensorflow.op.io.ReaderNumRecordsProduced

reduceAll(Operand<Boolean>, Operand<T>, ReduceAll.Options...) - Method in class org.tensorflow.op.Ops

Adds an ReduceAll operation to the graph

ReduceAll - Class in org.tensorflow.op.core

Computes the "logical and" of elements across dimensions of a tensor.

ReduceAll.Options - Class in org.tensorflow.op.core

Optional attributes for ReduceAll

reduceAny(Operand<Boolean>, Operand<T>, ReduceAny.Options...) - Method in class org.tensorflow.op.Ops

Adds an ReduceAny operation to the graph

ReduceAny - Class in org.tensorflow.op.core

Computes the "logical or" of elements across dimensions of a tensor.

ReduceAny.Options - Class in org.tensorflow.op.core

Optional attributes for ReduceAny

reduceJoin(Operand<String>, Operand<Integer>, ReduceJoin.Options...) - Method in class org.tensorflow.op.StringsOps

Adds an ReduceJoin operation to the graph

ReduceJoin - Class in org.tensorflow.op.strings

Joins a string Tensor across the given dimensions.

ReduceJoin.Options - Class in org.tensorflow.op.strings

Optional attributes for ReduceJoin

reduceMax(Operand<T>, Operand<U>, ReduceMax.Options...) - Method in class org.tensorflow.op.Ops

Adds an ReduceMax operation to the graph

ReduceMax<T> - Class in org.tensorflow.op.core

Computes the maximum of elements across dimensions of a tensor.

ReduceMax.Options - Class in org.tensorflow.op.core

Optional attributes for ReduceMax

reduceMin(Operand<T>, Operand<U>, ReduceMin.Options...) - Method in class org.tensorflow.op.Ops

Adds an ReduceMin operation to the graph

ReduceMin<T> - Class in org.tensorflow.op.core

Computes the minimum of elements across dimensions of a tensor.

ReduceMin.Options - Class in org.tensorflow.op.core

Optional attributes for ReduceMin

reduceProd(Operand<T>, Operand<U>, ReduceProd.Options...) - Method in class org.tensorflow.op.Ops

Adds an ReduceProd operation to the graph

ReduceProd<T> - Class in org.tensorflow.op.core

Computes the product of elements across dimensions of a tensor.

ReduceProd.Options - Class in org.tensorflow.op.core

Optional attributes for ReduceProd

reduceSum(Operand<T>, Operand<U>, ReduceSum.Options...) - Method in class org.tensorflow.op.Ops

Adds an ReduceSum operation to the graph

ReduceSum<T> - Class in org.tensorflow.op.core

Computes the sum of elements across dimensions of a tensor.

ReduceSum.Options - Class in org.tensorflow.op.core

Optional attributes for ReduceSum

reductionType(String) - Method in class org.tensorflow.op.sparse.SparseConditionalAccumulator.Options

reductionType(String) - Static method in class org.tensorflow.op.sparse.SparseConditionalAccumulator

reductionType(String) - Method in class org.tensorflow.op.train.ConditionalAccumulator.Options

reductionType(String) - Static method in class org.tensorflow.op.train.ConditionalAccumulator

ref() - Method in class org.tensorflow.op.core.TemporaryVariable

A reference to the variable tensor.

ref() - Method in class org.tensorflow.op.core.Variable

A reference to the variable tensor.

RefEnter<T> - Class in org.tensorflow.op.core

Creates or finds a child frame, and makes `data` available to the child frame.

RefEnter.Options - Class in org.tensorflow.op.core

Optional attributes for RefEnter

RefExit<T> - Class in org.tensorflow.op.core

Exits the current frame to its parent frame.

RefIdentity<T> - Class in org.tensorflow.op.core

Return the same ref tensor as the input ref tensor.

RefMerge<T> - Class in org.tensorflow.op.core

Forwards the value of an available tensor from `inputs` to `output`.

refNextIteration(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an RefNextIteration operation to the graph

RefNextIteration<T> - Class in org.tensorflow.op.core

Makes its input available to the next iteration.

refSelect(Operand<Integer>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an RefSelect operation to the graph

RefSelect<T> - Class in org.tensorflow.op.core

Forwards the `index`th element of `inputs` to `output`.

refSwitch(Operand<T>, Operand<Boolean>) - Method in class org.tensorflow.op.Ops

Adds an RefSwitch operation to the graph

RefSwitch<T> - Class in org.tensorflow.op.core

Forwards the ref tensor `data` to the output port determined by `pred`.

regexFullMatch(Operand<String>, Operand<String>) - Method in class org.tensorflow.op.StringsOps

Adds an RegexFullMatch operation to the graph

RegexFullMatch - Class in org.tensorflow.op.strings

Check if the input matches the regex pattern.

regexReplace(Operand<String>, Operand<String>, Operand<String>, RegexReplace.Options...) - Method in class org.tensorflow.op.StringsOps

Adds an RegexReplace operation to the graph

RegexReplace - Class in org.tensorflow.op.strings

Replaces the match of pattern in input with rewrite.

RegexReplace.Options - Class in org.tensorflow.op.strings

Optional attributes for RegexReplace

registeredOpList() - Static method in class org.tensorflow.TensorFlow

All the TensorFlow operations available in this address space.

relu(Operand<T>) - Method in class org.tensorflow.op.NnOps

Adds an Relu operation to the graph

Relu<T> - Class in org.tensorflow.op.nn

Computes rectified linear: `max(features, 0)`.

relu6(Operand<T>) - Method in class org.tensorflow.op.NnOps

Adds an Relu6 operation to the graph

Relu6<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes rectified linear 6: `min(max(features, 0), 6)`.

Relu6Grad<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes rectified linear 6 gradients for a Relu6 operation.

ReluGrad<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes rectified linear gradients for a Relu operation.

remapping() - Method in class org.tensorflow.op.train.GenerateVocabRemapping

A Tensor of length num_new_vocab where the element at index i is equal to the old ID that maps to the new ID i.

remoteFusedGraphExecute(Iterable<Operand<?>>, List<Class<?>>, String) - Method in class org.tensorflow.op.Ops

Adds an RemoteFusedGraphExecute operation to the graph

RemoteFusedGraphExecute - Class in org.tensorflow.op.core

Execute a sub graph on a remote processor.

repeatDataset(Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.DataOps

Adds an RepeatDataset operation to the graph

RepeatDataset - Class in org.tensorflow.op.data

Creates a dataset that emits the outputs of `input_dataset` `count` times.

replaceControlCharacters(Boolean) - Method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Options

replaceControlCharacters(Boolean) - Static method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets

replaceControlCharacters(Boolean) - Method in class org.tensorflow.op.strings.UnicodeTranscode.Options

replaceControlCharacters(Boolean) - Static method in class org.tensorflow.op.strings.UnicodeTranscode

replaceGlobal(Boolean) - Method in class org.tensorflow.op.strings.RegexReplace.Options

replaceGlobal(Boolean) - Static method in class org.tensorflow.op.strings.RegexReplace

replaceGlobal(Boolean) - Method in class org.tensorflow.op.strings.StaticRegexReplace.Options

replaceGlobal(Boolean) - Static method in class org.tensorflow.op.strings.StaticRegexReplace

replacementChar(Long) - Method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Options

replacementChar(Long) - Static method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets

replacementChar(Long) - Method in class org.tensorflow.op.strings.UnicodeTranscode.Options

replacementChar(Long) - Static method in class org.tensorflow.op.strings.UnicodeTranscode

requantizationRange(Operand<T>, Operand<Float>, Operand<Float>) - Method in class org.tensorflow.op.QuantizationOps

Adds an RequantizationRange operation to the graph

RequantizationRange - Class in org.tensorflow.op.quantization

Given a quantized tensor described by (input, input_min, input_max), outputs a

requantize(Operand<T>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<U>) - Method in class org.tensorflow.op.QuantizationOps

Adds an Requantize operation to the graph

Requantize<U> - Class in org.tensorflow.op.quantization

Convert the quantized 'input' tensor into a lower-precision 'output', using the

reserveSpace() - Method in class org.tensorflow.op.nn.CudnnRnn

reserveSpace1() - Method in class org.tensorflow.op.nn.FusedBatchNorm

A 1D Tensor for the computed batch mean, to be reused in the gradient computation.

reserveSpace2() - Method in class org.tensorflow.op.nn.FusedBatchNorm

A 1D Tensor for the computed batch variance (inverted variance in the cuDNN case), to be reused in the gradient computation.

reserveSpace3() - Method in class org.tensorflow.op.nn.FusedBatchNormGrad

Unused placeholder to match the mean input in FusedBatchNorm.

reserveSpace4() - Method in class org.tensorflow.op.nn.FusedBatchNormGrad

Unused placeholder to match the variance input in FusedBatchNorm.

reshape(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an Reshape operation to the graph

Reshape<T> - Class in org.tensorflow.op.core

Reshapes a tensor.

reshuffleEachIteration(Boolean) - Method in class org.tensorflow.op.data.ShuffleDataset.Options

reshuffleEachIteration(Boolean) - Static method in class org.tensorflow.op.data.ShuffleDataset

resizeAlignCorners(Boolean) - Method in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Options

resizeAlignCorners(Boolean) - Static method in class org.tensorflow.op.nn.FusedResizeAndPadConv2d

resizeArea(Operand<T>, Operand<Integer>, ResizeArea.Options...) - Method in class org.tensorflow.op.ImageOps

Adds an ResizeArea operation to the graph

ResizeArea - Class in org.tensorflow.op.image

Resize `images` to `size` using area interpolation.

ResizeArea.Options - Class in org.tensorflow.op.image

Optional attributes for ResizeArea

resizeBicubic(Operand<T>, Operand<Integer>, ResizeBicubic.Options...) - Method in class org.tensorflow.op.ImageOps

Adds an ResizeBicubic operation to the graph

ResizeBicubic - Class in org.tensorflow.op.image

Resize `images` to `size` using bicubic interpolation.

ResizeBicubic.Options - Class in org.tensorflow.op.image

Optional attributes for ResizeBicubic

ResizeBicubicGrad<T extends java.lang.Number> - Class in org.tensorflow.op.image

Computes the gradient of bicubic interpolation.

ResizeBicubicGrad.Options - Class in org.tensorflow.op.image

Optional attributes for ResizeBicubicGrad

resizeBilinear(Operand<T>, Operand<Integer>, ResizeBilinear.Options...) - Method in class org.tensorflow.op.ImageOps

Adds an ResizeBilinear operation to the graph

ResizeBilinear - Class in org.tensorflow.op.image

Resize `images` to `size` using bilinear interpolation.

ResizeBilinear.Options - Class in org.tensorflow.op.image

Optional attributes for ResizeBilinear

ResizeBilinearGrad<T extends java.lang.Number> - Class in org.tensorflow.op.image

Computes the gradient of bilinear interpolation.

ResizeBilinearGrad.Options - Class in org.tensorflow.op.image

Optional attributes for ResizeBilinearGrad

resizedImages() - Method in class org.tensorflow.op.image.QuantizedResizeBilinear

4-D with shape `[batch, new_height, new_width, channels]`.

resizedImages() - Method in class org.tensorflow.op.image.ResizeArea

4-D with shape `[batch, new_height, new_width, channels]`.

resizedImages() - Method in class org.tensorflow.op.image.ResizeBicubic

4-D with shape `[batch, new_height, new_width, channels]`.

resizedImages() - Method in class org.tensorflow.op.image.ResizeBilinear

4-D with shape `[batch, new_height, new_width, channels]`.

resizedImages() - Method in class org.tensorflow.op.image.ResizeNearestNeighbor

4-D with shape `[batch, new_height, new_width, channels]`.

resizeNearestNeighbor(Operand<T>, Operand<Integer>, ResizeNearestNeighbor.Options...) - Method in class org.tensorflow.op.ImageOps

Adds an ResizeNearestNeighbor operation to the graph

ResizeNearestNeighbor<T extends java.lang.Number> - Class in org.tensorflow.op.image

Resize `images` to `size` using nearest neighbor interpolation.

ResizeNearestNeighbor.Options - Class in org.tensorflow.op.image

Optional attributes for ResizeNearestNeighbor

ResizeNearestNeighborGrad<T extends java.lang.Number> - Class in org.tensorflow.op.image

Computes the gradient of nearest neighbor interpolation.

ResizeNearestNeighborGrad.Options - Class in org.tensorflow.op.image

Optional attributes for ResizeNearestNeighborGrad

resource() - Method in class org.tensorflow.op.core.BoostedTreesEnsembleResourceHandleOp

resource() - Method in class org.tensorflow.op.core.BoostedTreesQuantileStreamResourceHandleOp

resource() - Method in class org.tensorflow.op.core.Mutex

The mutex resource.

resource() - Method in class org.tensorflow.op.core.TensorForestTreeResourceHandleOp

resource() - Method in class org.tensorflow.op.core.VarHandleOp

resourceApplyAdadelta(Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdadelta.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ResourceApplyAdadelta operation to the graph

ResourceApplyAdadelta - Class in org.tensorflow.op.train

Update '*var' according to the adadelta scheme.

ResourceApplyAdadelta.Options - Class in org.tensorflow.op.train

Optional attributes for ResourceApplyAdadelta

resourceApplyAdagrad(Operand<?>, Operand<?>, Operand<T>, Operand<T>, ResourceApplyAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ResourceApplyAdagrad operation to the graph

ResourceApplyAdagrad - Class in org.tensorflow.op.train

Update '*var' according to the adagrad scheme.

ResourceApplyAdagrad.Options - Class in org.tensorflow.op.train

Optional attributes for ResourceApplyAdagrad

resourceApplyAdagradDa(Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<Long>, ResourceApplyAdagradDa.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ResourceApplyAdagradDa operation to the graph

ResourceApplyAdagradDa - Class in org.tensorflow.op.train

Update '*var' according to the proximal adagrad scheme.

ResourceApplyAdagradDa.Options - Class in org.tensorflow.op.train

Optional attributes for ResourceApplyAdagradDa

resourceApplyAdam(Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdam.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ResourceApplyAdam operation to the graph

ResourceApplyAdam - Class in org.tensorflow.op.train

Update '*var' according to the Adam algorithm.

ResourceApplyAdam.Options - Class in org.tensorflow.op.train

Optional attributes for ResourceApplyAdam

ResourceApplyAdaMax - Class in org.tensorflow.op.train

Update '*var' according to the AdaMax algorithm.

ResourceApplyAdaMax.Options - Class in org.tensorflow.op.train

Optional attributes for ResourceApplyAdaMax

resourceApplyAddSign(Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAddSign.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ResourceApplyAddSign operation to the graph

ResourceApplyAddSign - Class in org.tensorflow.op.train

Update '*var' according to the AddSign update.

ResourceApplyAddSign.Options - Class in org.tensorflow.op.train

Optional attributes for ResourceApplyAddSign

resourceApplyCenteredRmsProp(Operand<?>, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyCenteredRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ResourceApplyCenteredRmsProp operation to the graph

ResourceApplyCenteredRmsProp - Class in org.tensorflow.op.train

Update '*var' according to the centered RMSProp algorithm.

ResourceApplyCenteredRmsProp.Options - Class in org.tensorflow.op.train

Optional attributes for ResourceApplyCenteredRmsProp

resourceApplyFtrl(Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyFtrl.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ResourceApplyFtrl operation to the graph

ResourceApplyFtrl - Class in org.tensorflow.op.train

Update '*var' according to the Ftrl-proximal scheme.

ResourceApplyFtrl.Options - Class in org.tensorflow.op.train

Optional attributes for ResourceApplyFtrl

resourceApplyGradientDescent(Operand<?>, Operand<T>, Operand<T>, ResourceApplyGradientDescent.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ResourceApplyGradientDescent operation to the graph

ResourceApplyGradientDescent - Class in org.tensorflow.op.train

Update '*var' by subtracting 'alpha' * 'delta' from it.

ResourceApplyGradientDescent.Options - Class in org.tensorflow.op.train

Optional attributes for ResourceApplyGradientDescent

resourceApplyMomentum(Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyMomentum.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ResourceApplyMomentum operation to the graph

ResourceApplyMomentum - Class in org.tensorflow.op.train

Update '*var' according to the momentum scheme.

ResourceApplyMomentum.Options - Class in org.tensorflow.op.train

Optional attributes for ResourceApplyMomentum

resourceApplyPowerSign(Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyPowerSign.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ResourceApplyPowerSign operation to the graph

ResourceApplyPowerSign - Class in org.tensorflow.op.train

Update '*var' according to the AddSign update.

ResourceApplyPowerSign.Options - Class in org.tensorflow.op.train

Optional attributes for ResourceApplyPowerSign

resourceApplyProximalAdagrad(Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyProximalAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ResourceApplyProximalAdagrad operation to the graph

ResourceApplyProximalAdagrad - Class in org.tensorflow.op.train

Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.

ResourceApplyProximalAdagrad.Options - Class in org.tensorflow.op.train

Optional attributes for ResourceApplyProximalAdagrad

resourceApplyProximalGradientDescent(Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyProximalGradientDescent.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ResourceApplyProximalGradientDescent operation to the graph

ResourceApplyProximalGradientDescent - Class in org.tensorflow.op.train

Update '*var' as FOBOS algorithm with fixed learning rate.

ResourceApplyProximalGradientDescent.Options - Class in org.tensorflow.op.train

Optional attributes for ResourceApplyProximalGradientDescent

resourceApplyRmsProp(Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ResourceApplyRmsProp operation to the graph

ResourceApplyRmsProp - Class in org.tensorflow.op.train

Update '*var' according to the RMSProp algorithm.

ResourceApplyRmsProp.Options - Class in org.tensorflow.op.train

Optional attributes for ResourceApplyRmsProp

resourceCountUpTo(Operand<?>, Long, Class<T>) - Method in class org.tensorflow.op.Ops

Adds an ResourceCountUpTo operation to the graph

ResourceCountUpTo<T extends java.lang.Number> - Class in org.tensorflow.op.core

Increments variable pointed to by 'resource' until it reaches 'limit'.

resourceGather(Operand<?>, Operand<T>, Class<U>, ResourceGather.Options...) - Method in class org.tensorflow.op.Ops

Adds an ResourceGather operation to the graph

ResourceGather<U> - Class in org.tensorflow.op.core

Gather slices from the variable pointed to by `resource` according to `indices`.

ResourceGather.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceGather

resourceHandle() - Method in class org.tensorflow.op.data.IteratorFromStringHandle

resourceScatterAdd(Operand<?>, Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an ResourceScatterAdd operation to the graph

ResourceScatterAdd - Class in org.tensorflow.op.core

Adds sparse updates to the variable referenced by `resource`.

resourceScatterDiv(Operand<?>, Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an ResourceScatterDiv operation to the graph

ResourceScatterDiv - Class in org.tensorflow.op.core

Divides sparse updates into the variable referenced by `resource`.

resourceScatterMax(Operand<?>, Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an ResourceScatterMax operation to the graph

ResourceScatterMax - Class in org.tensorflow.op.core

Reduces sparse updates into the variable referenced by `resource` using the `max` operation.

resourceScatterMin(Operand<?>, Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an ResourceScatterMin operation to the graph

ResourceScatterMin - Class in org.tensorflow.op.core

Reduces sparse updates into the variable referenced by `resource` using the `min` operation.

resourceScatterMul(Operand<?>, Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an ResourceScatterMul operation to the graph

ResourceScatterMul - Class in org.tensorflow.op.core

Multiplies sparse updates into the variable referenced by `resource`.

resourceScatterNdAdd(Operand<?>, Operand<T>, Operand<U>, ResourceScatterNdAdd.Options...) - Method in class org.tensorflow.op.Ops

Adds an ResourceScatterNdAdd operation to the graph

ResourceScatterNdAdd - Class in org.tensorflow.op.core

Adds sparse `updates` to individual values or slices within a given

ResourceScatterNdAdd.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceScatterNdAdd

resourceScatterNdUpdate(Operand<?>, Operand<T>, Operand<U>, ResourceScatterNdUpdate.Options...) - Method in class org.tensorflow.op.Ops

Adds an ResourceScatterNdUpdate operation to the graph

ResourceScatterNdUpdate - Class in org.tensorflow.op.core

Applies sparse `updates` to individual values or slices within a given

ResourceScatterNdUpdate.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceScatterNdUpdate

resourceScatterSub(Operand<?>, Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an ResourceScatterSub operation to the graph

ResourceScatterSub - Class in org.tensorflow.op.core

Subtracts sparse updates from the variable referenced by `resource`.

resourceScatterUpdate(Operand<?>, Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an ResourceScatterUpdate operation to the graph

ResourceScatterUpdate - Class in org.tensorflow.op.core

Assigns sparse updates to the variable referenced by `resource`.

resourceSparseApplyAdadelta(Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, ResourceSparseApplyAdadelta.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ResourceSparseApplyAdadelta operation to the graph

ResourceSparseApplyAdadelta - Class in org.tensorflow.op.train

var: Should be from a Variable().

ResourceSparseApplyAdadelta.Options - Class in org.tensorflow.op.train

Optional attributes for ResourceSparseApplyAdadelta

resourceSparseApplyAdagrad(Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<U>, ResourceSparseApplyAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ResourceSparseApplyAdagrad operation to the graph

ResourceSparseApplyAdagrad - Class in org.tensorflow.op.train

Update relevant entries in '*var' and '*accum' according to the adagrad scheme.

ResourceSparseApplyAdagrad.Options - Class in org.tensorflow.op.train

Optional attributes for ResourceSparseApplyAdagrad

resourceSparseApplyAdagradDa(Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<U>, Operand<T>, Operand<T>, Operand<T>, Operand<Long>, ResourceSparseApplyAdagradDa.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ResourceSparseApplyAdagradDa operation to the graph

ResourceSparseApplyAdagradDa - Class in org.tensorflow.op.train

Update entries in '*var' and '*accum' according to the proximal adagrad scheme.

ResourceSparseApplyAdagradDa.Options - Class in org.tensorflow.op.train

Optional attributes for ResourceSparseApplyAdagradDa

resourceSparseApplyCenteredRmsProp(Operand<?>, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, ResourceSparseApplyCenteredRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ResourceSparseApplyCenteredRmsProp operation to the graph

ResourceSparseApplyCenteredRmsProp - Class in org.tensorflow.op.train

Update '*var' according to the centered RMSProp algorithm.

ResourceSparseApplyCenteredRmsProp.Options - Class in org.tensorflow.op.train

Optional attributes for ResourceSparseApplyCenteredRmsProp

resourceSparseApplyFtrl(Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<U>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceSparseApplyFtrl.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ResourceSparseApplyFtrl operation to the graph

ResourceSparseApplyFtrl - Class in org.tensorflow.op.train

Update relevant entries in '*var' according to the Ftrl-proximal scheme.

ResourceSparseApplyFtrl.Options - Class in org.tensorflow.op.train

Optional attributes for ResourceSparseApplyFtrl

resourceSparseApplyMomentum(Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<U>, Operand<T>, ResourceSparseApplyMomentum.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ResourceSparseApplyMomentum operation to the graph

ResourceSparseApplyMomentum - Class in org.tensorflow.op.train

Update relevant entries in '*var' and '*accum' according to the momentum scheme.

ResourceSparseApplyMomentum.Options - Class in org.tensorflow.op.train

Optional attributes for ResourceSparseApplyMomentum

resourceSparseApplyProximalAdagrad(Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, ResourceSparseApplyProximalAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ResourceSparseApplyProximalAdagrad operation to the graph

ResourceSparseApplyProximalAdagrad - Class in org.tensorflow.op.train

Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.

ResourceSparseApplyProximalAdagrad.Options - Class in org.tensorflow.op.train

Optional attributes for ResourceSparseApplyProximalAdagrad

resourceSparseApplyProximalGradientDescent(Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, ResourceSparseApplyProximalGradientDescent.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ResourceSparseApplyProximalGradientDescent operation to the graph

ResourceSparseApplyProximalGradientDescent - Class in org.tensorflow.op.train

Sparse update '*var' as FOBOS algorithm with fixed learning rate.

ResourceSparseApplyProximalGradientDescent.Options - Class in org.tensorflow.op.train

Optional attributes for ResourceSparseApplyProximalGradientDescent

resourceSparseApplyRmsProp(Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, ResourceSparseApplyRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an ResourceSparseApplyRmsProp operation to the graph

ResourceSparseApplyRmsProp - Class in org.tensorflow.op.train

Update '*var' according to the RMSProp algorithm.

ResourceSparseApplyRmsProp.Options - Class in org.tensorflow.op.train

Optional attributes for ResourceSparseApplyRmsProp

resourceStridedSliceAssign(Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, ResourceStridedSliceAssign.Options...) - Method in class org.tensorflow.op.Ops

Adds an ResourceStridedSliceAssign operation to the graph

ResourceStridedSliceAssign - Class in org.tensorflow.op.core

Assign `value` to the sliced l-value reference of `ref`.

ResourceStridedSliceAssign.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceStridedSliceAssign

response() - Method in class org.tensorflow.op.core.Rpc

Same shape as `request`.

response() - Method in class org.tensorflow.op.core.TryRpc

Same shape as `request`.

restore(Operand<String>, Operand<String>, Operand<String>, List<Class<?>>) - Method in class org.tensorflow.op.TrainOps

Adds an Restore operation to the graph

Restore - Class in org.tensorflow.op.train

Restores tensors from a V2 checkpoint.

restoreSlice(Operand<String>, Operand<String>, Operand<String>, Class<T>, RestoreSlice.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an RestoreSlice operation to the graph

RestoreSlice<T> - Class in org.tensorflow.op.train

Restores a tensor from checkpoint files.

RestoreSlice.Options - Class in org.tensorflow.op.train

Optional attributes for RestoreSlice

result() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization

result() - Method in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization

resultIndices() - Method in class org.tensorflow.op.sparse.DenseToDenseSetOperation

2D indices of a `SparseTensor`.

resultIndices() - Method in class org.tensorflow.op.sparse.DenseToSparseSetOperation

2D indices of a `SparseTensor`.

resultIndices() - Method in class org.tensorflow.op.sparse.SparseToSparseSetOperation

2D indices of a `SparseTensor`.

resultMax() - Method in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization

resultMin() - Method in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization

resultShape() - Method in class org.tensorflow.op.sparse.DenseToDenseSetOperation

1D `Tensor` shape of a `SparseTensor`.

resultShape() - Method in class org.tensorflow.op.sparse.DenseToSparseSetOperation

1D `Tensor` shape of a `SparseTensor`.

resultShape() - Method in class org.tensorflow.op.sparse.SparseToSparseSetOperation

1D `Tensor` shape of a `SparseTensor`.

resultValues() - Method in class org.tensorflow.op.sparse.DenseToDenseSetOperation

1D values of a `SparseTensor`.

resultValues() - Method in class org.tensorflow.op.sparse.DenseToSparseSetOperation

1D values of a `SparseTensor`.

resultValues() - Method in class org.tensorflow.op.sparse.SparseToSparseSetOperation

1D values of a `SparseTensor`.

reverse(Boolean) - Method in class org.tensorflow.op.math.Cumprod.Options

reverse(Boolean) - Static method in class org.tensorflow.op.math.Cumprod

reverse(Boolean) - Method in class org.tensorflow.op.math.Cumsum.Options

reverse(Boolean) - Static method in class org.tensorflow.op.math.Cumsum

reverse(Boolean) - Method in class org.tensorflow.op.nn.NthElement.Options

reverse(Boolean) - Static method in class org.tensorflow.op.nn.NthElement

reverse(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an Reverse operation to the graph

Reverse<T> - Class in org.tensorflow.op.core

Reverses specific dimensions of a tensor.

reverseIndexMap() - Method in class org.tensorflow.op.sparse.SparseFillEmptyRows

1-D.

reverseSequence(Operand<T>, Operand<U>, Long, ReverseSequence.Options...) - Method in class org.tensorflow.op.Ops

Adds an ReverseSequence operation to the graph

ReverseSequence<T> - Class in org.tensorflow.op.core

Reverses variable length slices.

ReverseSequence.Options - Class in org.tensorflow.op.core

Optional attributes for ReverseSequence

rfft(Operand<Float>, Operand<Integer>) - Method in class org.tensorflow.op.SignalOps

Adds an Rfft operation to the graph

Rfft - Class in org.tensorflow.op.signal

Real-valued fast Fourier transform.

rfft2d(Operand<Float>, Operand<Integer>) - Method in class org.tensorflow.op.SignalOps

Adds an Rfft2d operation to the graph

Rfft2d - Class in org.tensorflow.op.signal

2D real-valued fast Fourier transform.

rfft3d(Operand<Float>, Operand<Integer>) - Method in class org.tensorflow.op.SignalOps

Adds an Rfft3d operation to the graph

Rfft3d - Class in org.tensorflow.op.signal

3D real-valued fast Fourier transform.

rgbToHsv(Operand<T>) - Method in class org.tensorflow.op.ImageOps

Adds an RgbToHsv operation to the graph

RgbToHsv<T extends java.lang.Number> - Class in org.tensorflow.op.image

Converts one or more images from RGB to HSV.

rightNodeContribsList() - Method in class org.tensorflow.op.core.BoostedTreesCalculateBestGainsPerFeature

A list of Rank 2 tensors, with the same shape/conditions as left_node_contribs_list, but just that the value is for the right node.

rightShift(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.BitwiseOps

Adds an RightShift operation to the graph

RightShift<T extends java.lang.Number> - Class in org.tensorflow.op.bitwise

Elementwise computes the bitwise right-shift of `x` and `y`.

rint(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Rint operation to the graph

Rint<T extends java.lang.Number> - Class in org.tensorflow.op.math

Returns element-wise integer closest to x.

rnnMode(String) - Method in class org.tensorflow.op.nn.CudnnRnn.Options

rnnMode(String) - Static method in class org.tensorflow.op.nn.CudnnRnn

rnnMode(String) - Method in class org.tensorflow.op.nn.CudnnRnnBackprop.Options

rnnMode(String) - Static method in class org.tensorflow.op.nn.CudnnRnnBackprop

rnnMode(String) - Method in class org.tensorflow.op.nn.CudnnRnnCanonicalToParams.Options

rnnMode(String) - Static method in class org.tensorflow.op.nn.CudnnRnnCanonicalToParams

rnnMode(String) - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize.Options

rnnMode(String) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize

rnnMode(String) - Method in class org.tensorflow.op.nn.CudnnRnnParamsToCanonical.Options

rnnMode(String) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsToCanonical

roll(Operand<T>, Operand<U>, Operand<V>) - Method in class org.tensorflow.op.Ops

Adds an Roll operation to the graph

Roll<T> - Class in org.tensorflow.op.core

Rolls the elements of a tensor along an axis.

round(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Round operation to the graph

Round<T> - Class in org.tensorflow.op.math

Rounds the values of a tensor to the nearest integer, element-wise.

roundMode(String) - Method in class org.tensorflow.op.quantization.Quantize.Options

roundMode(String) - Static method in class org.tensorflow.op.quantization.Quantize

rowPoolingSequence() - Method in class org.tensorflow.op.nn.FractionalAvgPool

row pooling sequence, needed to calculate gradient.

rowPoolingSequence() - Method in class org.tensorflow.op.nn.FractionalMaxPool

row pooling sequence, needed to calculate gradient.

rowSplits() - Method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets

A 1D int32 tensor containing the row splits.

rpc(Operand<String>, Operand<String>, Operand<String>, Rpc.Options...) - Method in class org.tensorflow.op.Ops

Adds an Rpc operation to the graph

Rpc - Class in org.tensorflow.op.core

Perform batches of RPC requests.

Rpc.Options - Class in org.tensorflow.op.core

Optional attributes for Rpc

rsqrt(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Rsqrt operation to the graph

Rsqrt<T> - Class in org.tensorflow.op.math

Computes reciprocal of square root of x element-wise.

RsqrtGrad<T> - Class in org.tensorflow.op.math

Computes the gradient for the rsqrt of `x` wrt its input.

rtDenseValues() - Method in class org.tensorflow.op.core.RaggedRange

The `inner_values` for the returned `RaggedTensor`.

rtNestedSplits() - Method in class org.tensorflow.op.core.RaggedRange

The `row_splits` for the returned `RaggedTensor`.

run() - Method in class org.tensorflow.Session.Runner

Execute the graph fragments necessary to compute all requested fetches.

Run() - Constructor for class org.tensorflow.Session.Run

runAndFetchMetadata() - Method in class org.tensorflow.Session.Runner

Execute graph fragments to compute requested fetches and return metadata about the run.

runner() - Method in class org.tensorflow.Session

Create a Runner to execute graph operations and evaluate Tensors.

Runner() - Constructor for class org.tensorflow.Session.Runner

S

s() - Method in class org.tensorflow.op.linalg.BatchSvd

s() - Method in class org.tensorflow.op.linalg.Svd

Singular values.

sampledCandidates() - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler

A vector of length num_sampled, in which each element is the ID of a sampled candidate.

sampledCandidates() - Method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler

A vector of length num_sampled, in which each element is the ID of a sampled candidate.

sampledCandidates() - Method in class org.tensorflow.op.random.AllCandidateSampler

A vector of length num_sampled, in which each element is the ID of a sampled candidate.

sampledCandidates() - Method in class org.tensorflow.op.random.LogUniformCandidateSampler

A vector of length num_sampled, in which each element is the ID of a sampled candidate.

sampledCandidates() - Method in class org.tensorflow.op.random.UniformCandidateSampler

A vector of length num_sampled, in which each element is the ID of a sampled candidate.

sampledExpectedCount() - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler

A vector of length num_sampled, for each sampled candidate representing the number of times the candidate is expected to occur in a batch of sampled candidates.

sampledExpectedCount() - Method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler

A vector of length num_sampled, for each sampled candidate representing the number of times the candidate is expected to occur in a batch of sampled candidates.

sampledExpectedCount() - Method in class org.tensorflow.op.random.AllCandidateSampler

A vector of length num_sampled, for each sampled candidate representing the number of times the candidate is expected to occur in a batch of sampled candidates.

sampledExpectedCount() - Method in class org.tensorflow.op.random.LogUniformCandidateSampler

A vector of length num_sampled, for each sampled candidate representing the number of times the candidate is expected to occur in a batch of sampled candidates.

sampledExpectedCount() - Method in class org.tensorflow.op.random.UniformCandidateSampler

A vector of length num_sampled, for each sampled candidate representing the number of times the candidate is expected to occur in a batch of sampled candidates.

sampleDistortedBoundingBox(Operand<T>, Operand<Float>, Operand<Float>, SampleDistortedBoundingBox.Options...) - Method in class org.tensorflow.op.ImageOps

Adds an SampleDistortedBoundingBox operation to the graph

SampleDistortedBoundingBox<T extends java.lang.Number> - Class in org.tensorflow.op.image

Generate a single randomly distorted bounding box for an image.

SampleDistortedBoundingBox.Options - Class in org.tensorflow.op.image

Optional attributes for SampleDistortedBoundingBox

sampleRate() - Method in class org.tensorflow.op.audio.DecodeWav

Scalar holding the sample rate found in the WAV header.

sanitize(Boolean) - Method in class org.tensorflow.op.core.DecodeProto.Options

sanitize(Boolean) - Static method in class org.tensorflow.op.core.DecodeProto

save(Operand<String>, Operand<String>, Operand<String>, Iterable<Operand<?>>) - Method in class org.tensorflow.op.TrainOps

Adds an Save operation to the graph

Save - Class in org.tensorflow.op.train

Saves tensors in V2 checkpoint format.

SavedModelBundle - Class in org.tensorflow

SavedModelBundle represents a model loaded from storage.

SavedModelBundle.Loader - Class in org.tensorflow

Options for loading a SavedModel.

saveSlices(Operand<String>, Operand<String>, Operand<String>, Iterable<Operand<?>>) - Method in class org.tensorflow.op.TrainOps

Adds an SaveSlices operation to the graph

SaveSlices - Class in org.tensorflow.op.train

Saves input tensors slices to disk.

scalar() - Static method in class org.tensorflow.Shape

Create a Shape representing a scalar value.

scalarSummary(Operand<String>, Operand<T>) - Method in class org.tensorflow.op.SummaryOps

Adds an ScalarSummary operation to the graph

ScalarSummary - Class in org.tensorflow.op.summary

Outputs a `Summary` protocol buffer with scalar values.

scaleBackprop() - Method in class org.tensorflow.op.nn.FusedBatchNormGrad

A 1D Tensor for the gradient with respect to scale.

scatterAdd(Operand<T>, Operand<U>, Operand<T>, ScatterAdd.Options...) - Method in class org.tensorflow.op.Ops

Adds an ScatterAdd operation to the graph

ScatterAdd<T> - Class in org.tensorflow.op.core

Adds sparse updates to a variable reference.

ScatterAdd.Options - Class in org.tensorflow.op.core

Optional attributes for ScatterAdd

scatterDiv(Operand<T>, Operand<U>, Operand<T>, ScatterDiv.Options...) - Method in class org.tensorflow.op.Ops

Adds an ScatterDiv operation to the graph

ScatterDiv<T> - Class in org.tensorflow.op.core

Divides a variable reference by sparse updates.

ScatterDiv.Options - Class in org.tensorflow.op.core

Optional attributes for ScatterDiv

scatterMax(Operand<T>, Operand<U>, Operand<T>, ScatterMax.Options...) - Method in class org.tensorflow.op.Ops

Adds an ScatterMax operation to the graph

ScatterMax<T extends java.lang.Number> - Class in org.tensorflow.op.core

Reduces sparse updates into a variable reference using the `max` operation.

ScatterMax.Options - Class in org.tensorflow.op.core

Optional attributes for ScatterMax

scatterMin(Operand<T>, Operand<U>, Operand<T>, ScatterMin.Options...) - Method in class org.tensorflow.op.Ops

Adds an ScatterMin operation to the graph

ScatterMin<T extends java.lang.Number> - Class in org.tensorflow.op.core

Reduces sparse updates into a variable reference using the `min` operation.

ScatterMin.Options - Class in org.tensorflow.op.core

Optional attributes for ScatterMin

scatterMul(Operand<T>, Operand<U>, Operand<T>, ScatterMul.Options...) - Method in class org.tensorflow.op.Ops

Adds an ScatterMul operation to the graph

ScatterMul<T> - Class in org.tensorflow.op.core

Multiplies sparse updates into a variable reference.

ScatterMul.Options - Class in org.tensorflow.op.core

Optional attributes for ScatterMul

scatterNd(Operand<T>, Operand<U>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an ScatterNd operation to the graph

ScatterNd<U> - Class in org.tensorflow.op.core

Scatter `updates` into a new tensor according to `indices`.

scatterNdAdd(Operand<T>, Operand<U>, Operand<T>, ScatterNdAdd.Options...) - Method in class org.tensorflow.op.Ops

Adds an ScatterNdAdd operation to the graph

ScatterNdAdd<T> - Class in org.tensorflow.op.core

Applies sparse addition between `updates` and individual values or slices

ScatterNdAdd.Options - Class in org.tensorflow.op.core

Optional attributes for ScatterNdAdd

scatterNdNonAliasingAdd(Operand<T>, Operand<U>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an ScatterNdNonAliasingAdd operation to the graph

ScatterNdNonAliasingAdd<T> - Class in org.tensorflow.op.core

Applies sparse addition to `input` using individual values or slices

scatterNdSub(Operand<T>, Operand<U>, Operand<T>, ScatterNdSub.Options...) - Method in class org.tensorflow.op.Ops

Adds an ScatterNdSub operation to the graph

ScatterNdSub<T> - Class in org.tensorflow.op.core

Applies sparse subtraction between `updates` and individual values or slices

ScatterNdSub.Options - Class in org.tensorflow.op.core

Optional attributes for ScatterNdSub

scatterNdUpdate(Operand<T>, Operand<U>, Operand<T>, ScatterNdUpdate.Options...) - Method in class org.tensorflow.op.Ops

Adds an ScatterNdUpdate operation to the graph

ScatterNdUpdate<T> - Class in org.tensorflow.op.core

Applies sparse `updates` to individual values or slices within a given

ScatterNdUpdate.Options - Class in org.tensorflow.op.core

Optional attributes for ScatterNdUpdate

scatterSub(Operand<T>, Operand<U>, Operand<T>, ScatterSub.Options...) - Method in class org.tensorflow.op.Ops

Adds an ScatterSub operation to the graph

ScatterSub<T> - Class in org.tensorflow.op.core

Subtracts sparse updates to a variable reference.

ScatterSub.Options - Class in org.tensorflow.op.core

Optional attributes for ScatterSub

scatterUpdate(Operand<T>, Operand<U>, Operand<T>, ScatterUpdate.Options...) - Method in class org.tensorflow.op.Ops

Adds an ScatterUpdate operation to the graph

ScatterUpdate<T> - Class in org.tensorflow.op.core

Applies sparse updates to a variable reference.

ScatterUpdate.Options - Class in org.tensorflow.op.core

Optional attributes for ScatterUpdate

scientific(Boolean) - Method in class org.tensorflow.op.dtypes.AsString.Options

scientific(Boolean) - Static method in class org.tensorflow.op.dtypes.AsString

scope() - Method in class org.tensorflow.op.Ops

Returns the current scope of this API

Scope - Class in org.tensorflow.op

Manages groups of related properties when creating Tensorflow Operations, such as a common name prefix.

Scope(Graph) - Constructor for class org.tensorflow.op.Scope

Create a new top-level scope.

sdcaFprint(Operand<String>) - Method in class org.tensorflow.op.TrainOps

Adds an SdcaFprint operation to the graph

SdcaFprint - Class in org.tensorflow.op.train

Computes fingerprints of the input strings.

SdcaOptimizer - Class in org.tensorflow.op.train

Distributed version of Stochastic Dual Coordinate Ascent (SDCA) optimizer for

SdcaOptimizer.Options - Class in org.tensorflow.op.train

Optional attributes for SdcaOptimizer

sdcaShrinkL1(Iterable<Operand<Float>>, Float, Float) - Method in class org.tensorflow.op.TrainOps

Adds an SdcaShrinkL1 operation to the graph

SdcaShrinkL1 - Class in org.tensorflow.op.train

Applies L1 regularization shrink step on the parameters.

seed(Long) - Method in class org.tensorflow.op.image.RandomCrop.Options

seed(Long) - Static method in class org.tensorflow.op.image.RandomCrop

seed(Long) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options

seed(Long) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox

seed(Long) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options

seed(Long) - Static method in class org.tensorflow.op.io.RandomShuffleQueue

seed(Long) - Method in class org.tensorflow.op.nn.ComputeAccidentalHits.Options

seed(Long) - Static method in class org.tensorflow.op.nn.ComputeAccidentalHits

seed(Long) - Method in class org.tensorflow.op.nn.CudnnRnn.Options

seed(Long) - Static method in class org.tensorflow.op.nn.CudnnRnn

seed(Long) - Method in class org.tensorflow.op.nn.CudnnRnnBackprop.Options

seed(Long) - Static method in class org.tensorflow.op.nn.CudnnRnnBackprop

seed(Long) - Method in class org.tensorflow.op.nn.CudnnRnnCanonicalToParams.Options

seed(Long) - Static method in class org.tensorflow.op.nn.CudnnRnnCanonicalToParams

seed(Long) - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize.Options

seed(Long) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize

seed(Long) - Method in class org.tensorflow.op.nn.CudnnRnnParamsToCanonical.Options

seed(Long) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsToCanonical

seed(Long) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options

seed(Long) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler

seed(Long) - Method in class org.tensorflow.op.nn.FractionalAvgPool.Options

seed(Long) - Static method in class org.tensorflow.op.nn.FractionalAvgPool

seed(Long) - Method in class org.tensorflow.op.nn.FractionalMaxPool.Options

seed(Long) - Static method in class org.tensorflow.op.nn.FractionalMaxPool

seed(Long) - Method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Options

seed(Long) - Static method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler

seed(Long) - Method in class org.tensorflow.op.random.AllCandidateSampler.Options

seed(Long) - Static method in class org.tensorflow.op.random.AllCandidateSampler

seed(Long) - Method in class org.tensorflow.op.random.LogUniformCandidateSampler.Options

seed(Long) - Static method in class org.tensorflow.op.random.LogUniformCandidateSampler

seed(Long) - Method in class org.tensorflow.op.random.Multinomial.Options

seed(Long) - Static method in class org.tensorflow.op.random.Multinomial

seed(Long) - Method in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Options

seed(Long) - Static method in class org.tensorflow.op.random.ParameterizedTruncatedNormal

seed(Long) - Method in class org.tensorflow.op.random.RandomGamma.Options

seed(Long) - Static method in class org.tensorflow.op.random.RandomGamma

seed(Long) - Method in class org.tensorflow.op.random.RandomPoisson.Options

seed(Long) - Static method in class org.tensorflow.op.random.RandomPoisson

seed(Long) - Method in class org.tensorflow.op.random.RandomShuffle.Options

seed(Long) - Static method in class org.tensorflow.op.random.RandomShuffle

seed(Long) - Method in class org.tensorflow.op.random.RandomStandardNormal.Options

seed(Long) - Static method in class org.tensorflow.op.random.RandomStandardNormal

seed(Long) - Method in class org.tensorflow.op.random.RandomUniform.Options

seed(Long) - Static method in class org.tensorflow.op.random.RandomUniform

seed(Long) - Method in class org.tensorflow.op.random.RandomUniformInt.Options

seed(Long) - Static method in class org.tensorflow.op.random.RandomUniformInt

seed(Long) - Method in class org.tensorflow.op.random.TruncatedNormal.Options

seed(Long) - Static method in class org.tensorflow.op.random.TruncatedNormal

seed(Long) - Method in class org.tensorflow.op.random.UniformCandidateSampler.Options

seed(Long) - Static method in class org.tensorflow.op.random.UniformCandidateSampler

seed2(Long) - Method in class org.tensorflow.op.image.RandomCrop.Options

seed2(Long) - Static method in class org.tensorflow.op.image.RandomCrop

seed2(Long) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options

seed2(Long) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox

seed2(Long) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options

seed2(Long) - Static method in class org.tensorflow.op.io.RandomShuffleQueue

seed2(Long) - Method in class org.tensorflow.op.nn.ComputeAccidentalHits.Options

seed2(Long) - Static method in class org.tensorflow.op.nn.ComputeAccidentalHits

seed2(Long) - Method in class org.tensorflow.op.nn.CudnnRnn.Options

seed2(Long) - Static method in class org.tensorflow.op.nn.CudnnRnn

seed2(Long) - Method in class org.tensorflow.op.nn.CudnnRnnBackprop.Options

seed2(Long) - Static method in class org.tensorflow.op.nn.CudnnRnnBackprop

seed2(Long) - Method in class org.tensorflow.op.nn.CudnnRnnCanonicalToParams.Options

seed2(Long) - Static method in class org.tensorflow.op.nn.CudnnRnnCanonicalToParams

seed2(Long) - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize.Options

seed2(Long) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize

seed2(Long) - Method in class org.tensorflow.op.nn.CudnnRnnParamsToCanonical.Options

seed2(Long) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsToCanonical

seed2(Long) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options

seed2(Long) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler

seed2(Long) - Method in class org.tensorflow.op.nn.FractionalAvgPool.Options

seed2(Long) - Static method in class org.tensorflow.op.nn.FractionalAvgPool

seed2(Long) - Method in class org.tensorflow.op.nn.FractionalMaxPool.Options

seed2(Long) - Static method in class org.tensorflow.op.nn.FractionalMaxPool

seed2(Long) - Method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Options

seed2(Long) - Static method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler

seed2(Long) - Method in class org.tensorflow.op.random.AllCandidateSampler.Options

seed2(Long) - Static method in class org.tensorflow.op.random.AllCandidateSampler

seed2(Long) - Method in class org.tensorflow.op.random.LogUniformCandidateSampler.Options

seed2(Long) - Static method in class org.tensorflow.op.random.LogUniformCandidateSampler

seed2(Long) - Method in class org.tensorflow.op.random.Multinomial.Options

seed2(Long) - Static method in class org.tensorflow.op.random.Multinomial

seed2(Long) - Method in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Options

seed2(Long) - Static method in class org.tensorflow.op.random.ParameterizedTruncatedNormal

seed2(Long) - Method in class org.tensorflow.op.random.RandomGamma.Options

seed2(Long) - Static method in class org.tensorflow.op.random.RandomGamma

seed2(Long) - Method in class org.tensorflow.op.random.RandomPoisson.Options

seed2(Long) - Static method in class org.tensorflow.op.random.RandomPoisson

seed2(Long) - Method in class org.tensorflow.op.random.RandomShuffle.Options

seed2(Long) - Static method in class org.tensorflow.op.random.RandomShuffle

seed2(Long) - Method in class org.tensorflow.op.random.RandomStandardNormal.Options

seed2(Long) - Static method in class org.tensorflow.op.random.RandomStandardNormal

seed2(Long) - Method in class org.tensorflow.op.random.RandomUniform.Options

seed2(Long) - Static method in class org.tensorflow.op.random.RandomUniform

seed2(Long) - Method in class org.tensorflow.op.random.RandomUniformInt.Options

seed2(Long) - Static method in class org.tensorflow.op.random.RandomUniformInt

seed2(Long) - Method in class org.tensorflow.op.random.TruncatedNormal.Options

seed2(Long) - Static method in class org.tensorflow.op.random.TruncatedNormal

seed2(Long) - Method in class org.tensorflow.op.random.UniformCandidateSampler.Options

seed2(Long) - Static method in class org.tensorflow.op.random.UniformCandidateSampler

segmentMax(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.MathOps

Adds an SegmentMax operation to the graph

SegmentMax<T extends java.lang.Number> - Class in org.tensorflow.op.math

Computes the maximum along segments of a tensor.

segmentMean(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.MathOps

Adds an SegmentMean operation to the graph

SegmentMean<T> - Class in org.tensorflow.op.math

Computes the mean along segments of a tensor.

segmentMin(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.MathOps

Adds an SegmentMin operation to the graph

SegmentMin<T extends java.lang.Number> - Class in org.tensorflow.op.math

Computes the minimum along segments of a tensor.

segmentProd(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.MathOps

Adds an SegmentProd operation to the graph

SegmentProd<T> - Class in org.tensorflow.op.math

Computes the product along segments of a tensor.

segmentSum(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.MathOps

Adds an SegmentSum operation to the graph

SegmentSum<T> - Class in org.tensorflow.op.math

Computes the sum along segments of a tensor.

selectCols(List<Long>) - Method in class org.tensorflow.op.io.DecodeCsv.Options

selectCols(List<Long>) - Static method in class org.tensorflow.op.io.DecodeCsv

selectedIndices() - Method in class org.tensorflow.op.image.NonMaxSuppression

A 1-D integer tensor of shape `[M]` representing the selected indices from the boxes tensor, where `M <= max_output_size`.

selectedIndices() - Method in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps

A 1-D integer tensor of shape `[M]` representing the selected indices from the boxes tensor, where `M <= max_output_size`.

selfAdjointEig(Operand<T>, SelfAdjointEig.Options...) - Method in class org.tensorflow.op.LinalgOps

Adds an SelfAdjointEig operation to the graph

SelfAdjointEig<T> - Class in org.tensorflow.op.linalg

Computes the eigen decomposition of one or more square self-adjoint matrices.

SelfAdjointEig.Options - Class in org.tensorflow.op.linalg

Optional attributes for SelfAdjointEig

selu(Operand<T>) - Method in class org.tensorflow.op.NnOps

Adds an Selu operation to the graph

Selu<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes scaled exponential linear: `scale * alpha * (exp(features) - 1)`

SeluGrad<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes gradients for the scaled exponential linear (Selu) operation.

separator(String) - Method in class org.tensorflow.op.strings.Join.Options

separator(String) - Static method in class org.tensorflow.op.strings.Join

separator(String) - Method in class org.tensorflow.op.strings.ReduceJoin.Options

separator(String) - Static method in class org.tensorflow.op.strings.ReduceJoin

serialized() - Method in class org.tensorflow.op.data.SerializeIterator

A variant tensor storing the state of the iterator contained in the resource.

serialized() - Method in class org.tensorflow.op.io.SerializeTensor

A serialized TensorProto proto of the input tensor.

serializedSparse() - Method in class org.tensorflow.op.io.SerializeManySparse

serializedSparse() - Method in class org.tensorflow.op.io.SerializeSparse

serializeIterator(Operand<?>) - Method in class org.tensorflow.op.DataOps

Adds an SerializeIterator operation to the graph

SerializeIterator - Class in org.tensorflow.op.data

Converts the given `resource_handle` representing an iterator to a variant tensor.

serializeManySparse(Operand<Long>, Operand<T>, Operand<Long>) - Method in class org.tensorflow.op.IoOps

Adds an SerializeManySparse operation to the graph

serializeManySparse(Operand<Long>, Operand<T>, Operand<Long>, Class<U>) - Method in class org.tensorflow.op.IoOps

Adds an SerializeManySparse operation to the graph

SerializeManySparse<U> - Class in org.tensorflow.op.io

Serialize an `N`-minibatch `SparseTensor` into an `[N, 3]` `Tensor` object.

serializeSparse(Operand<Long>, Operand<T>, Operand<Long>) - Method in class org.tensorflow.op.IoOps

Adds an SerializeSparse operation to the graph

serializeSparse(Operand<Long>, Operand<T>, Operand<Long>, Class<U>) - Method in class org.tensorflow.op.IoOps

Adds an SerializeSparse operation to the graph

SerializeSparse<U> - Class in org.tensorflow.op.io

Serialize a `SparseTensor` into a `[3]` `Tensor` object.

serializeTensor(Operand<T>) - Method in class org.tensorflow.op.IoOps

Adds an SerializeTensor operation to the graph

SerializeTensor - Class in org.tensorflow.op.io

Transforms a Tensor into a serialized TensorProto proto.

Server - Class in org.tensorflow

An in-process TensorFlow server, for use in distributed training.

Server(byte[]) - Constructor for class org.tensorflow.Server

Constructs a new instance of server.

session() - Method in class org.tensorflow.SavedModelBundle

Returns the Session with which to perform computation using the model.

Session - Class in org.tensorflow

Driver for Graph execution.

Session(Graph) - Constructor for class org.tensorflow.Session

Construct a new session with the associated Graph.

Session(Graph, byte[]) - Constructor for class org.tensorflow.Session

Construct a new session with the associated Graph and configuration options.

Session.Run - Class in org.tensorflow

Output tensors and metadata obtained when executing a session.

Session.Runner - Class in org.tensorflow

Run Operations and evaluate Tensors.

setAttr(String, boolean) - Method in class org.tensorflow.OperationBuilder

setAttr(String, boolean[]) - Method in class org.tensorflow.OperationBuilder

setAttr(String, byte[]) - Method in class org.tensorflow.OperationBuilder

setAttr(String, float) - Method in class org.tensorflow.OperationBuilder

setAttr(String, float[]) - Method in class org.tensorflow.OperationBuilder

setAttr(String, long) - Method in class org.tensorflow.OperationBuilder

setAttr(String, long[]) - Method in class org.tensorflow.OperationBuilder

setAttr(String, String) - Method in class org.tensorflow.OperationBuilder

setAttr(String, String[]) - Method in class org.tensorflow.OperationBuilder

setAttr(String, DataType) - Method in class org.tensorflow.OperationBuilder

setAttr(String, DataType[]) - Method in class org.tensorflow.OperationBuilder

setAttr(String, Shape) - Method in class org.tensorflow.OperationBuilder

setAttr(String, Shape[]) - Method in class org.tensorflow.OperationBuilder

setAttr(String, Tensor<?>) - Method in class org.tensorflow.OperationBuilder

setAttr(String, Tensor<?>[]) - Method in class org.tensorflow.OperationBuilder

setDevice(String) - Method in class org.tensorflow.OperationBuilder

setDiag(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Adds an SetDiag operation to the graph

SetDiag<T> - Class in org.tensorflow.op.linalg

Returns a batched matrix tensor with new batched diagonal values.

setDiff1d(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an SetDiff1d operation to the graph

setDiff1d(Operand<T>, Operand<T>, Class<U>) - Method in class org.tensorflow.op.Ops

Adds an SetDiff1d operation to the graph

SetDiff1d<T,U extends java.lang.Number> - Class in org.tensorflow.op.core

Computes the difference between two lists of numbers or strings.

setOptions(byte[]) - Method in class org.tensorflow.Session.Runner

(Experimental method): set options (typically for debugging) for this run.

setSize(Operand<Long>, Operand<T>, Operand<Long>, SetSize.Options...) - Method in class org.tensorflow.op.Ops

Adds an SetSize operation to the graph

SetSize - Class in org.tensorflow.op.core

Number of unique elements along last dimension of input `set`.

SetSize.Options - Class in org.tensorflow.op.core

Optional attributes for SetSize

setStatsAggregatorDataset(Operand<?>, Operand<?>, Operand<String>, Operand<String>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.DataOps

Adds an SetStatsAggregatorDataset operation to the graph

SetStatsAggregatorDataset - Class in org.tensorflow.op.data

shape() - Method in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient

Shape of the average of the accumulated sparse gradients.

shape() - Method in class org.tensorflow.op.strings.StringSplit

shape() - Method in class org.tensorflow.Output

Returns the (possibly partially known) shape of the tensor referred to by this Output.

shape() - Method in class org.tensorflow.Tensor

Returns the shape of the Tensor, i.e., the sizes of each dimension.

shape(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Shape operation to the graph

shape(Operand<T>, Class<U>) - Method in class org.tensorflow.op.Ops

Adds an Shape operation to the graph

shape(Shape) - Method in class org.tensorflow.op.core.Placeholder.Options

shape(Shape) - Static method in class org.tensorflow.op.core.Placeholder

Shape<U extends java.lang.Number> - Class in org.tensorflow.op.core

Returns the shape of a tensor.

Shape - Class in org.tensorflow

The possibly partially known shape of a tensor produced by an operation.

shapeN(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an ShapeN operation to the graph

shapeN(Operand<T>, Class<U>) - Method in class org.tensorflow.op.Ops

Adds an ShapeN operation to the graph

ShapeN<U extends java.lang.Number> - Class in org.tensorflow.op.core

Returns shape of tensors.

shapes(List<Shape>) - Method in class org.tensorflow.op.core.Barrier.Options

shapes(List<Shape>) - Static method in class org.tensorflow.op.core.Barrier

shapes(List<Shape>) - Method in class org.tensorflow.op.io.FifoQueue.Options

shapes(List<Shape>) - Static method in class org.tensorflow.op.io.FifoQueue

shapes(List<Shape>) - Method in class org.tensorflow.op.io.PaddingFifoQueue.Options

shapes(List<Shape>) - Static method in class org.tensorflow.op.io.PaddingFifoQueue

shapes(List<Shape>) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options

shapes(List<Shape>) - Static method in class org.tensorflow.op.io.RandomShuffleQueue

shard(Long) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options

shard(Long) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler

shardedFilename(Operand<String>, Operand<Integer>, Operand<Integer>) - Method in class org.tensorflow.op.IoOps

Adds an ShardedFilename operation to the graph

ShardedFilename - Class in org.tensorflow.op.io

Generate a sharded filename.

shardedFilespec(Operand<String>, Operand<Integer>) - Method in class org.tensorflow.op.IoOps

Adds an ShardedFilespec operation to the graph

ShardedFilespec - Class in org.tensorflow.op.io

Generate a glob pattern matching all sharded file names.

sharedName(String) - Method in class org.tensorflow.op.core.Barrier.Options

sharedName(String) - Static method in class org.tensorflow.op.core.Barrier

sharedName(String) - Method in class org.tensorflow.op.core.Batch.Options

sharedName(String) - Static method in class org.tensorflow.op.core.Batch

sharedName(String) - Method in class org.tensorflow.op.core.BoostedTreesEnsembleResourceHandleOp.Options

sharedName(String) - Static method in class org.tensorflow.op.core.BoostedTreesEnsembleResourceHandleOp

sharedName(String) - Method in class org.tensorflow.op.core.BoostedTreesQuantileStreamResourceHandleOp.Options

sharedName(String) - Static method in class org.tensorflow.op.core.BoostedTreesQuantileStreamResourceHandleOp

sharedName(String) - Method in class org.tensorflow.op.core.HashTable.Options

sharedName(String) - Static method in class org.tensorflow.op.core.HashTable

sharedName(String) - Method in class org.tensorflow.op.core.MapClear.Options

sharedName(String) - Static method in class org.tensorflow.op.core.MapClear

sharedName(String) - Method in class org.tensorflow.op.core.MapIncompleteSize.Options

sharedName(String) - Static method in class org.tensorflow.op.core.MapIncompleteSize

sharedName(String) - Method in class org.tensorflow.op.core.MapPeek.Options

sharedName(String) - Static method in class org.tensorflow.op.core.MapPeek

sharedName(String) - Method in class org.tensorflow.op.core.MapSize.Options

sharedName(String) - Static method in class org.tensorflow.op.core.MapSize

sharedName(String) - Method in class org.tensorflow.op.core.MapStage.Options

sharedName(String) - Static method in class org.tensorflow.op.core.MapStage

sharedName(String) - Method in class org.tensorflow.op.core.MapUnstage.Options

sharedName(String) - Static method in class org.tensorflow.op.core.MapUnstage

sharedName(String) - Method in class org.tensorflow.op.core.MapUnstageNoKey.Options

sharedName(String) - Static method in class org.tensorflow.op.core.MapUnstageNoKey

sharedName(String) - Method in class org.tensorflow.op.core.MutableDenseHashTable.Options

sharedName(String) - Static method in class org.tensorflow.op.core.MutableDenseHashTable

sharedName(String) - Method in class org.tensorflow.op.core.MutableHashTable.Options

sharedName(String) - Static method in class org.tensorflow.op.core.MutableHashTable

sharedName(String) - Method in class org.tensorflow.op.core.MutableHashTableOfTensors.Options

sharedName(String) - Static method in class org.tensorflow.op.core.MutableHashTableOfTensors

sharedName(String) - Method in class org.tensorflow.op.core.Mutex.Options

sharedName(String) - Static method in class org.tensorflow.op.core.Mutex

sharedName(String) - Method in class org.tensorflow.op.core.OrderedMapClear.Options

sharedName(String) - Static method in class org.tensorflow.op.core.OrderedMapClear

sharedName(String) - Method in class org.tensorflow.op.core.OrderedMapIncompleteSize.Options

sharedName(String) - Static method in class org.tensorflow.op.core.OrderedMapIncompleteSize

sharedName(String) - Method in class org.tensorflow.op.core.OrderedMapPeek.Options

sharedName(String) - Static method in class org.tensorflow.op.core.OrderedMapPeek

sharedName(String) - Method in class org.tensorflow.op.core.OrderedMapSize.Options

sharedName(String) - Static method in class org.tensorflow.op.core.OrderedMapSize

sharedName(String) - Method in class org.tensorflow.op.core.OrderedMapStage.Options

sharedName(String) - Static method in class org.tensorflow.op.core.OrderedMapStage

sharedName(String) - Method in class org.tensorflow.op.core.OrderedMapUnstage.Options

sharedName(String) - Static method in class org.tensorflow.op.core.OrderedMapUnstage

sharedName(String) - Method in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Options

sharedName(String) - Static method in class org.tensorflow.op.core.OrderedMapUnstageNoKey

sharedName(String) - Method in class org.tensorflow.op.core.Stage.Options

sharedName(String) - Static method in class org.tensorflow.op.core.Stage

sharedName(String) - Method in class org.tensorflow.op.core.StageClear.Options

sharedName(String) - Static method in class org.tensorflow.op.core.StageClear

sharedName(String) - Method in class org.tensorflow.op.core.StagePeek.Options

sharedName(String) - Static method in class org.tensorflow.op.core.StagePeek

sharedName(String) - Method in class org.tensorflow.op.core.StageSize.Options

sharedName(String) - Static method in class org.tensorflow.op.core.StageSize

sharedName(String) - Method in class org.tensorflow.op.core.TensorForestTreeResourceHandleOp.Options

sharedName(String) - Static method in class org.tensorflow.op.core.TensorForestTreeResourceHandleOp

sharedName(String) - Method in class org.tensorflow.op.core.Unbatch.Options

sharedName(String) - Static method in class org.tensorflow.op.core.Unbatch

sharedName(String) - Method in class org.tensorflow.op.core.UnbatchGrad.Options

sharedName(String) - Static method in class org.tensorflow.op.core.UnbatchGrad

sharedName(String) - Method in class org.tensorflow.op.core.Unstage.Options

sharedName(String) - Static method in class org.tensorflow.op.core.Unstage

sharedName(String) - Method in class org.tensorflow.op.core.VarHandleOp.Options

sharedName(String) - Static method in class org.tensorflow.op.core.VarHandleOp

sharedName(String) - Method in class org.tensorflow.op.core.Variable.Options

sharedName(String) - Static method in class org.tensorflow.op.core.Variable

sharedName(String) - Method in class org.tensorflow.op.data.ExperimentalThreadPoolHandle.Options

sharedName(String) - Static method in class org.tensorflow.op.data.ExperimentalThreadPoolHandle

sharedName(String) - Method in class org.tensorflow.op.data.StatsAggregatorHandle.Options

sharedName(String) - Static method in class org.tensorflow.op.data.StatsAggregatorHandle

sharedName(String) - Method in class org.tensorflow.op.io.BigQueryReader.Options

sharedName(String) - Static method in class org.tensorflow.op.io.BigQueryReader

sharedName(String) - Method in class org.tensorflow.op.io.FifoQueue.Options

sharedName(String) - Static method in class org.tensorflow.op.io.FifoQueue

sharedName(String) - Method in class org.tensorflow.op.io.FixedLengthRecordReader.Options

sharedName(String) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader

sharedName(String) - Method in class org.tensorflow.op.io.IdentityReader.Options

sharedName(String) - Static method in class org.tensorflow.op.io.IdentityReader

sharedName(String) - Method in class org.tensorflow.op.io.LmdbReader.Options

sharedName(String) - Static method in class org.tensorflow.op.io.LmdbReader

sharedName(String) - Method in class org.tensorflow.op.io.PaddingFifoQueue.Options

sharedName(String) - Static method in class org.tensorflow.op.io.PaddingFifoQueue

sharedName(String) - Method in class org.tensorflow.op.io.PriorityQueue.Options

sharedName(String) - Static method in class org.tensorflow.op.io.PriorityQueue

sharedName(String) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options

sharedName(String) - Static method in class org.tensorflow.op.io.RandomShuffleQueue

sharedName(String) - Method in class org.tensorflow.op.io.TextLineReader.Options

sharedName(String) - Static method in class org.tensorflow.op.io.TextLineReader

sharedName(String) - Method in class org.tensorflow.op.io.TfRecordReader.Options

sharedName(String) - Static method in class org.tensorflow.op.io.TfRecordReader

sharedName(String) - Method in class org.tensorflow.op.io.WholeFileReader.Options

sharedName(String) - Static method in class org.tensorflow.op.io.WholeFileReader

sharedName(String) - Method in class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Options

sharedName(String) - Static method in class org.tensorflow.op.sparse.AddManySparseToTensorsMap

sharedName(String) - Method in class org.tensorflow.op.sparse.AddSparseToTensorsMap.Options

sharedName(String) - Static method in class org.tensorflow.op.sparse.AddSparseToTensorsMap

sharedName(String) - Method in class org.tensorflow.op.sparse.SparseConditionalAccumulator.Options

sharedName(String) - Static method in class org.tensorflow.op.sparse.SparseConditionalAccumulator

sharedName(String) - Method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap.Options

sharedName(String) - Static method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap

sharedName(String) - Method in class org.tensorflow.op.summary.SummaryWriter.Options

sharedName(String) - Static method in class org.tensorflow.op.summary.SummaryWriter

sharedName(String) - Method in class org.tensorflow.op.train.ConditionalAccumulator.Options

sharedName(String) - Static method in class org.tensorflow.op.train.ConditionalAccumulator

shortest(Boolean) - Method in class org.tensorflow.op.dtypes.AsString.Options

shortest(Boolean) - Static method in class org.tensorflow.op.dtypes.AsString

shrinkAxisMask(Long) - Method in class org.tensorflow.op.core.ResourceStridedSliceAssign.Options

shrinkAxisMask(Long) - Static method in class org.tensorflow.op.core.ResourceStridedSliceAssign

shrinkAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSlice.Options

shrinkAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSlice

shrinkAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSliceAssign.Options

shrinkAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceAssign

shrinkAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSliceGrad.Options

shrinkAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceGrad

shuffleAndRepeatDataset(Operand<?>, Operand<Long>, Operand<Long>, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.DataOps

Adds an ShuffleAndRepeatDataset operation to the graph

ShuffleAndRepeatDataset - Class in org.tensorflow.op.data

Creates a dataset that shuffles and repeats elements from `input_dataset`

shuffleDataset(Operand<?>, Operand<Long>, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>, ShuffleDataset.Options...) - Method in class org.tensorflow.op.DataOps

Adds an ShuffleDataset operation to the graph

ShuffleDataset - Class in org.tensorflow.op.data

Creates a dataset that shuffles elements from `input_dataset` pseudorandomly.

ShuffleDataset.Options - Class in org.tensorflow.op.data

Optional attributes for ShuffleDataset

sigmoid(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Sigmoid operation to the graph

Sigmoid<T> - Class in org.tensorflow.op.math

Computes sigmoid of `x` element-wise.

SigmoidGrad<T> - Class in org.tensorflow.op.math

Computes the gradient of the sigmoid of `x` wrt its input.

sign() - Method in class org.tensorflow.op.linalg.LogMatrixDeterminant

The signs of the log determinants of the inputs.

sign(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Sign operation to the graph

Sign<T> - Class in org.tensorflow.op.math

Returns an element-wise indication of the sign of a number.

signal - Variable in class org.tensorflow.op.Ops

signal() - Method in class org.tensorflow.op.Ops

Returns an API for adding signal operations to the graph

SignalOps - Class in org.tensorflow.op

An API for adding signal operations to a Graph

signedInput(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantize.Options

signedInput(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantize

sin(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Sin operation to the graph

Sin<T> - Class in org.tensorflow.op.math

Computes sin of x element-wise.

sinh(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Sinh operation to the graph

Sinh<T> - Class in org.tensorflow.op.math

Computes hyperbolic sine of x element-wise.

size() - Method in class org.tensorflow.op.core.BarrierIncompleteSize

The number of incomplete elements (i.e.

size() - Method in class org.tensorflow.op.core.BarrierReadySize

The number of complete elements (i.e.

size() - Method in class org.tensorflow.op.core.LookupTableSize

Scalar that contains number of elements in the table.

size() - Method in class org.tensorflow.op.core.MapIncompleteSize

size() - Method in class org.tensorflow.op.core.MapSize

size() - Method in class org.tensorflow.op.core.OrderedMapIncompleteSize

size() - Method in class org.tensorflow.op.core.OrderedMapSize

size() - Method in class org.tensorflow.op.core.SetSize

For `set` ranked `n`, this is a `Tensor` with rank `n-1`, and the same 1st `n-1` dimensions as `set`.

size() - Method in class org.tensorflow.op.core.StageSize

size() - Method in class org.tensorflow.op.core.TensorArraySize

The current size of the TensorArray.

size() - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox

1-D, containing `[target_height, target_width, -1]`.

size() - Method in class org.tensorflow.op.io.QueueSize

The number of elements in the given queue.

size(int) - Method in class org.tensorflow.Shape

The size of the i-th dimension.

size(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Size operation to the graph

size(Operand<T>, Class<U>) - Method in class org.tensorflow.op.Ops

Adds an Size operation to the graph

Size<U extends java.lang.Number> - Class in org.tensorflow.op.core

Returns the size of a tensor.

sizes() - Method in class org.tensorflow.op.core.DecodeProto

Tensor of int32 with shape `[batch_shape, len(field_names)]`.

skipDataset(Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.DataOps

Adds an SkipDataset operation to the graph

SkipDataset - Class in org.tensorflow.op.data

Creates a dataset that skips `count` elements from the `input_dataset`.

skipgram(String, Long, Skipgram.Options...) - Method in class org.tensorflow.op.Ops

Adds an Skipgram operation to the graph

Skipgram - Class in org.tensorflow.op.core

Parses a text file and creates a batch of examples.

Skipgram.Options - Class in org.tensorflow.op.core

Optional attributes for Skipgram

skipHeaderLines(Long) - Method in class org.tensorflow.op.io.TextLineReader.Options

skipHeaderLines(Long) - Static method in class org.tensorflow.op.io.TextLineReader

slice(Operand<T>, Operand<U>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an Slice operation to the graph

Slice<T> - Class in org.tensorflow.op.core

Return a slice from 'input'.

slideDataset(Operand<?>, Operand<Long>, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.DataOps

Adds an SlideDataset operation to the graph

SlideDataset - Class in org.tensorflow.op.data

Creates a dataset that passes a sliding window over `input_dataset`.

sloppy(Boolean) - Method in class org.tensorflow.op.data.ParseExampleDataset.Options

sloppy(Boolean) - Static method in class org.tensorflow.op.data.ParseExampleDataset

snapshot(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Snapshot operation to the graph

Snapshot<T> - Class in org.tensorflow.op.core

Returns a copy of the input tensor.

softmax() - Method in class org.tensorflow.op.nn.Softmax

Same shape as `logits`.

softmax(Operand<T>) - Method in class org.tensorflow.op.NnOps

Adds an Softmax operation to the graph

Softmax<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes softmax activations.

softmaxCrossEntropyWithLogits(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.NnOps

Adds an SoftmaxCrossEntropyWithLogits operation to the graph

SoftmaxCrossEntropyWithLogits<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes softmax cross entropy cost and gradients to backpropagate.

softplus(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Softplus operation to the graph

Softplus<T extends java.lang.Number> - Class in org.tensorflow.op.math

Computes softplus: `log(exp(features) + 1)`.

SoftplusGrad<T extends java.lang.Number> - Class in org.tensorflow.op.math

Computes softplus gradients for a softplus operation.

softsign(Operand<T>) - Method in class org.tensorflow.op.NnOps

Adds an Softsign operation to the graph

Softsign<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes softsign: `features / (abs(features) + 1)`.

SoftsignGrad<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes softsign gradients for a softsign operation.

solve(Operand<T>, Operand<T>, Solve.Options...) - Method in class org.tensorflow.op.LinalgOps

Adds an Solve operation to the graph

Solve<T> - Class in org.tensorflow.op.linalg

Solves systems of linear equations.

Solve.Options - Class in org.tensorflow.op.linalg

Optional attributes for Solve

sorted(Boolean) - Method in class org.tensorflow.op.nn.TopK.Options

sorted(Boolean) - Static method in class org.tensorflow.op.nn.TopK

spaceToBatch(Operand<T>, Operand<U>, Long) - Method in class org.tensorflow.op.NnOps

Adds an SpaceToBatch operation to the graph

SpaceToBatch<T> - Class in org.tensorflow.op.nn

SpaceToBatch for 4-D tensors of type T.

spaceToBatchNd(Operand<T>, Operand<U>, Operand<V>) - Method in class org.tensorflow.op.Ops

Adds an SpaceToBatchNd operation to the graph

SpaceToBatchNd<T> - Class in org.tensorflow.op.core

SpaceToBatch for N-D tensors of type T.

spaceToDepth(Operand<T>, Long, SpaceToDepth.Options...) - Method in class org.tensorflow.op.NnOps

Adds an SpaceToDepth operation to the graph

SpaceToDepth<T> - Class in org.tensorflow.op.nn

SpaceToDepth for tensors of type T.

SpaceToDepth.Options - Class in org.tensorflow.op.nn

Optional attributes for SpaceToDepth

sparse - Variable in class org.tensorflow.op.Ops

sparse() - Method in class org.tensorflow.op.Ops

Returns an API for adding sparse operations to the graph

sparseAccumulatorApplyGradient(Operand<String>, Operand<Long>, Operand<Long>, Operand<T>, Operand<Long>, Boolean) - Method in class org.tensorflow.op.SparseOps

Adds an SparseAccumulatorApplyGradient operation to the graph

SparseAccumulatorApplyGradient - Class in org.tensorflow.op.sparse

Applies a sparse gradient to a given accumulator.

sparseAccumulatorTakeGradient(Operand<String>, Operand<Integer>, Class<T>) - Method in class org.tensorflow.op.SparseOps

Adds an SparseAccumulatorTakeGradient operation to the graph

SparseAccumulatorTakeGradient<T> - Class in org.tensorflow.op.sparse

Extracts the average sparse gradient in a SparseConditionalAccumulator.

sparseAdd(Operand<Long>, Operand<T>, Operand<Long>, Operand<Long>, Operand<T>, Operand<Long>, Operand<U>) - Method in class org.tensorflow.op.SparseOps

Adds an SparseAdd operation to the graph

SparseAdd<T> - Class in org.tensorflow.op.sparse

Adds two `SparseTensor` objects to produce another `SparseTensor`.

sparseAddGrad(Operand<T>, Operand<Long>, Operand<Long>, Operand<Long>) - Method in class org.tensorflow.op.SparseOps

Adds an SparseAddGrad operation to the graph

SparseAddGrad<T> - Class in org.tensorflow.op.sparse

The gradient operator for the SparseAdd op.

sparseApplyAdadelta(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, SparseApplyAdadelta.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an SparseApplyAdadelta operation to the graph

SparseApplyAdadelta<T> - Class in org.tensorflow.op.train

var: Should be from a Variable().

SparseApplyAdadelta.Options - Class in org.tensorflow.op.train

Optional attributes for SparseApplyAdadelta

sparseApplyAdagrad(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, SparseApplyAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an SparseApplyAdagrad operation to the graph

SparseApplyAdagrad<T> - Class in org.tensorflow.op.train

Update relevant entries in '*var' and '*accum' according to the adagrad scheme.

SparseApplyAdagrad.Options - Class in org.tensorflow.op.train

Optional attributes for SparseApplyAdagrad

sparseApplyAdagradDa(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, Operand<T>, Operand<T>, Operand<T>, Operand<Long>, SparseApplyAdagradDa.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an SparseApplyAdagradDa operation to the graph

SparseApplyAdagradDa<T> - Class in org.tensorflow.op.train

Update entries in '*var' and '*accum' according to the proximal adagrad scheme.

SparseApplyAdagradDa.Options - Class in org.tensorflow.op.train

Optional attributes for SparseApplyAdagradDa

sparseApplyCenteredRmsProp(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, SparseApplyCenteredRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an SparseApplyCenteredRmsProp operation to the graph

SparseApplyCenteredRmsProp<T> - Class in org.tensorflow.op.train

Update '*var' according to the centered RMSProp algorithm.

SparseApplyCenteredRmsProp.Options - Class in org.tensorflow.op.train

Optional attributes for SparseApplyCenteredRmsProp

sparseApplyFtrl(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, SparseApplyFtrl.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an SparseApplyFtrl operation to the graph

SparseApplyFtrl<T> - Class in org.tensorflow.op.train

Update relevant entries in '*var' according to the Ftrl-proximal scheme.

SparseApplyFtrl.Options - Class in org.tensorflow.op.train

Optional attributes for SparseApplyFtrl

sparseApplyMomentum(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, Operand<T>, SparseApplyMomentum.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an SparseApplyMomentum operation to the graph

SparseApplyMomentum<T> - Class in org.tensorflow.op.train

Update relevant entries in '*var' and '*accum' according to the momentum scheme.

SparseApplyMomentum.Options - Class in org.tensorflow.op.train

Optional attributes for SparseApplyMomentum

sparseApplyProximalAdagrad(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, SparseApplyProximalAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an SparseApplyProximalAdagrad operation to the graph

SparseApplyProximalAdagrad<T> - Class in org.tensorflow.op.train

Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.

SparseApplyProximalAdagrad.Options - Class in org.tensorflow.op.train

Optional attributes for SparseApplyProximalAdagrad

sparseApplyProximalGradientDescent(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, SparseApplyProximalGradientDescent.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an SparseApplyProximalGradientDescent operation to the graph

SparseApplyProximalGradientDescent<T> - Class in org.tensorflow.op.train

Sparse update '*var' as FOBOS algorithm with fixed learning rate.

SparseApplyProximalGradientDescent.Options - Class in org.tensorflow.op.train

Optional attributes for SparseApplyProximalGradientDescent

sparseApplyRmsProp(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, SparseApplyRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps

Adds an SparseApplyRmsProp operation to the graph

SparseApplyRmsProp<T> - Class in org.tensorflow.op.train

Update '*var' according to the RMSProp algorithm.

SparseApplyRmsProp.Options - Class in org.tensorflow.op.train

Optional attributes for SparseApplyRmsProp

sparseConcat(Iterable<Operand<Long>>, Operand<T>, Iterable<Operand<Long>>, Long) - Method in class org.tensorflow.op.SparseOps

Adds an SparseConcat operation to the graph

SparseConcat<T> - Class in org.tensorflow.op.sparse

Concatenates a list of `SparseTensor` along the specified dimension.

sparseConditionalAccumulator(Class<T>, Shape, SparseConditionalAccumulator.Options...) - Method in class org.tensorflow.op.SparseOps

Adds an SparseConditionalAccumulator operation to the graph

SparseConditionalAccumulator - Class in org.tensorflow.op.sparse

A conditional accumulator for aggregating sparse gradients.

SparseConditionalAccumulator.Options - Class in org.tensorflow.op.sparse

Optional attributes for SparseConditionalAccumulator

sparseCross(Iterable<Operand<Long>>, Iterable<Operand<?>>, Iterable<Operand<Long>>, Iterable<Operand<?>>, Boolean, Long, Long, Class<T>, Class<U>) - Method in class org.tensorflow.op.SparseOps

Adds an SparseCross operation to the graph

SparseCross<T> - Class in org.tensorflow.op.sparse

Generates sparse cross from a list of sparse and dense tensors.

sparseDenseCwiseAdd(Operand<Long>, Operand<T>, Operand<Long>, Operand<T>) - Method in class org.tensorflow.op.SparseOps

Adds an SparseDenseCwiseAdd operation to the graph

SparseDenseCwiseAdd<T> - Class in org.tensorflow.op.sparse

Adds up a SparseTensor and a dense Tensor, using these special rules:

sparseDenseCwiseDiv(Operand<Long>, Operand<T>, Operand<Long>, Operand<T>) - Method in class org.tensorflow.op.SparseOps

Adds an SparseDenseCwiseDiv operation to the graph

SparseDenseCwiseDiv<T> - Class in org.tensorflow.op.sparse

Component-wise divides a SparseTensor by a dense Tensor.

sparseDenseCwiseMul(Operand<Long>, Operand<T>, Operand<Long>, Operand<T>) - Method in class org.tensorflow.op.SparseOps

Adds an SparseDenseCwiseMul operation to the graph

SparseDenseCwiseMul<T> - Class in org.tensorflow.op.sparse

Component-wise multiplies a SparseTensor by a dense Tensor.

sparseDenseShape() - Method in class org.tensorflow.op.core.RaggedTensorToSparse

`sparse_dense_shape` is a tight bounding box of the input `RaggedTensor`.

sparseFillEmptyRows(Operand<Long>, Operand<T>, Operand<Long>, Operand<T>) - Method in class org.tensorflow.op.SparseOps

Adds an SparseFillEmptyRows operation to the graph

SparseFillEmptyRows<T> - Class in org.tensorflow.op.sparse

Fills empty rows in the input 2-D `SparseTensor` with a default value.

sparseFillEmptyRowsGrad(Operand<Long>, Operand<T>) - Method in class org.tensorflow.op.SparseOps

Adds an SparseFillEmptyRowsGrad operation to the graph

SparseFillEmptyRowsGrad<T> - Class in org.tensorflow.op.sparse

The gradient of SparseFillEmptyRows.

sparseHandle() - Method in class org.tensorflow.op.sparse.AddSparseToTensorsMap

0-D.

sparseHandles() - Method in class org.tensorflow.op.sparse.AddManySparseToTensorsMap

1-D.

sparseIndices() - Method in class org.tensorflow.op.core.RaggedTensorToSparse

The indices for the `SparseTensor`.

sparseIndices() - Method in class org.tensorflow.op.io.DeserializeManySparse

sparseIndices() - Method in class org.tensorflow.op.io.ParseExample

sparseIndices() - Method in class org.tensorflow.op.io.ParseSingleExample

sparseIndices() - Method in class org.tensorflow.op.sparse.DeserializeSparse

sparseIndices() - Method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap

2-D.

sparseMatMul(Operand<T>, Operand<U>, SparseMatMul.Options...) - Method in class org.tensorflow.op.SparseOps

Adds an SparseMatMul operation to the graph

SparseMatMul - Class in org.tensorflow.op.sparse

Multiply matrix "a" by matrix "b".

SparseMatMul.Options - Class in org.tensorflow.op.sparse

Optional attributes for SparseMatMul

SparseOps - Class in org.tensorflow.op

An API for adding sparse operations to a Graph

sparseReduceMax(Operand<Long>, Operand<T>, Operand<Long>, Operand<Integer>, SparseReduceMax.Options...) - Method in class org.tensorflow.op.SparseOps

Adds an SparseReduceMax operation to the graph

SparseReduceMax<T extends java.lang.Number> - Class in org.tensorflow.op.sparse

Computes the max of elements across dimensions of a SparseTensor.

SparseReduceMax.Options - Class in org.tensorflow.op.sparse

Optional attributes for SparseReduceMax

sparseReduceMaxSparse(Operand<Long>, Operand<T>, Operand<Long>, Operand<Integer>, SparseReduceMaxSparse.Options...) - Method in class org.tensorflow.op.SparseOps

Adds an SparseReduceMaxSparse operation to the graph

SparseReduceMaxSparse<T extends java.lang.Number> - Class in org.tensorflow.op.sparse

Computes the max of elements across dimensions of a SparseTensor.

SparseReduceMaxSparse.Options - Class in org.tensorflow.op.sparse

Optional attributes for SparseReduceMaxSparse

sparseReduceSum(Operand<Long>, Operand<T>, Operand<Long>, Operand<Integer>, SparseReduceSum.Options...) - Method in class org.tensorflow.op.SparseOps

Adds an SparseReduceSum operation to the graph

SparseReduceSum<T> - Class in org.tensorflow.op.sparse

Computes the sum of elements across dimensions of a SparseTensor.

SparseReduceSum.Options - Class in org.tensorflow.op.sparse

Optional attributes for SparseReduceSum

sparseReduceSumSparse(Operand<Long>, Operand<T>, Operand<Long>, Operand<Integer>, SparseReduceSumSparse.Options...) - Method in class org.tensorflow.op.SparseOps

Adds an SparseReduceSumSparse operation to the graph

SparseReduceSumSparse<T> - Class in org.tensorflow.op.sparse

Computes the sum of elements across dimensions of a SparseTensor.

SparseReduceSumSparse.Options - Class in org.tensorflow.op.sparse

Optional attributes for SparseReduceSumSparse

sparseReorder(Operand<Long>, Operand<T>, Operand<Long>) - Method in class org.tensorflow.op.SparseOps

Adds an SparseReorder operation to the graph

SparseReorder<T> - Class in org.tensorflow.op.sparse

Reorders a SparseTensor into the canonical, row-major ordering.

sparseReshape(Operand<Long>, Operand<Long>, Operand<Long>) - Method in class org.tensorflow.op.SparseOps

Adds an SparseReshape operation to the graph

SparseReshape - Class in org.tensorflow.op.sparse

Reshapes a SparseTensor to represent values in a new dense shape.

sparseSegmentMean(Operand<T>, Operand<U>, Operand<Integer>) - Method in class org.tensorflow.op.SparseOps

Adds an SparseSegmentMean operation to the graph

SparseSegmentMean<T extends java.lang.Number> - Class in org.tensorflow.op.sparse

Computes the mean along sparse segments of a tensor.

sparseSegmentMeanGrad(Operand<T>, Operand<U>, Operand<Integer>, Operand<Integer>) - Method in class org.tensorflow.op.SparseOps

Adds an SparseSegmentMeanGrad operation to the graph

SparseSegmentMeanGrad<T extends java.lang.Number> - Class in org.tensorflow.op.sparse

Computes gradients for SparseSegmentMean.

sparseSegmentMeanWithNumSegments(Operand<T>, Operand<U>, Operand<Integer>, Operand<V>) - Method in class org.tensorflow.op.SparseOps

Adds an SparseSegmentMeanWithNumSegments operation to the graph

SparseSegmentMeanWithNumSegments<T extends java.lang.Number> - Class in org.tensorflow.op.sparse

Computes the mean along sparse segments of a tensor.

sparseSegmentSqrtN(Operand<T>, Operand<U>, Operand<Integer>) - Method in class org.tensorflow.op.SparseOps

Adds an SparseSegmentSqrtN operation to the graph

SparseSegmentSqrtN<T extends java.lang.Number> - Class in org.tensorflow.op.sparse

Computes the sum along sparse segments of a tensor divided by the sqrt of N.

sparseSegmentSqrtNGrad(Operand<T>, Operand<U>, Operand<Integer>, Operand<Integer>) - Method in class org.tensorflow.op.SparseOps

Adds an SparseSegmentSqrtNGrad operation to the graph

SparseSegmentSqrtNGrad<T extends java.lang.Number> - Class in org.tensorflow.op.sparse

Computes gradients for SparseSegmentSqrtN.

sparseSegmentSqrtNWithNumSegments(Operand<T>, Operand<U>, Operand<Integer>, Operand<V>) - Method in class org.tensorflow.op.SparseOps

Adds an SparseSegmentSqrtNWithNumSegments operation to the graph

SparseSegmentSqrtNWithNumSegments<T extends java.lang.Number> - Class in org.tensorflow.op.sparse

Computes the sum along sparse segments of a tensor divided by the sqrt of N.

sparseSegmentSum(Operand<T>, Operand<U>, Operand<Integer>) - Method in class org.tensorflow.op.SparseOps

Adds an SparseSegmentSum operation to the graph

SparseSegmentSum<T extends java.lang.Number> - Class in org.tensorflow.op.sparse

Computes the sum along sparse segments of a tensor.

sparseSegmentSumWithNumSegments(Operand<T>, Operand<U>, Operand<Integer>, Operand<V>) - Method in class org.tensorflow.op.SparseOps

Adds an SparseSegmentSumWithNumSegments operation to the graph

SparseSegmentSumWithNumSegments<T extends java.lang.Number> - Class in org.tensorflow.op.sparse

Computes the sum along sparse segments of a tensor.

sparseShape() - Method in class org.tensorflow.op.io.DeserializeManySparse

sparseShape() - Method in class org.tensorflow.op.sparse.DeserializeSparse

sparseShape() - Method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap

1-D.

sparseShapes() - Method in class org.tensorflow.op.io.ParseExample

sparseShapes() - Method in class org.tensorflow.op.io.ParseSingleExample

sparseSlice(Operand<Long>, Operand<T>, Operand<Long>, Operand<Long>, Operand<Long>) - Method in class org.tensorflow.op.SparseOps

Adds an SparseSlice operation to the graph

SparseSlice<T> - Class in org.tensorflow.op.sparse

Slice a `SparseTensor` based on the `start` and `size`.

sparseSliceGrad(Operand<T>, Operand<Long>, Operand<Long>, Operand<Long>) - Method in class org.tensorflow.op.SparseOps

Adds an SparseSliceGrad operation to the graph

SparseSliceGrad<T> - Class in org.tensorflow.op.sparse

The gradient operator for the SparseSlice op.

sparseSoftmax(Operand<Long>, Operand<T>, Operand<Long>) - Method in class org.tensorflow.op.SparseOps

Adds an SparseSoftmax operation to the graph

SparseSoftmax<T extends java.lang.Number> - Class in org.tensorflow.op.sparse

Applies softmax to a batched N-D `SparseTensor`.

sparseSoftmaxCrossEntropyWithLogits(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.NnOps

Adds an SparseSoftmaxCrossEntropyWithLogits operation to the graph

SparseSoftmaxCrossEntropyWithLogits<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Computes softmax cross entropy cost and gradients to backpropagate.

sparseSparseMaximum(Operand<Long>, Operand<T>, Operand<Long>, Operand<Long>, Operand<T>, Operand<Long>) - Method in class org.tensorflow.op.SparseOps

Adds an SparseSparseMaximum operation to the graph

SparseSparseMaximum<T extends java.lang.Number> - Class in org.tensorflow.op.sparse

Returns the element-wise max of two SparseTensors.

sparseSparseMinimum(Operand<Long>, Operand<T>, Operand<Long>, Operand<Long>, Operand<T>, Operand<Long>) - Method in class org.tensorflow.op.SparseOps

Adds an SparseSparseMinimum operation to the graph

SparseSparseMinimum<T> - Class in org.tensorflow.op.sparse

Returns the element-wise min of two SparseTensors.

sparseSplit(Operand<Long>, Operand<Long>, Operand<T>, Operand<Long>, Long) - Method in class org.tensorflow.op.SparseOps

Adds an SparseSplit operation to the graph

SparseSplit<T> - Class in org.tensorflow.op.sparse

Split a `SparseTensor` into `num_split` tensors along one dimension.

sparseTensorDenseAdd(Operand<T>, Operand<U>, Operand<T>, Operand<U>) - Method in class org.tensorflow.op.SparseOps

Adds an SparseTensorDenseAdd operation to the graph

SparseTensorDenseAdd<U> - Class in org.tensorflow.op.sparse

Adds up a `SparseTensor` and a dense `Tensor`, producing a dense `Tensor`.

sparseTensorDenseMatMul(Operand<T>, Operand<U>, Operand<Long>, Operand<U>, SparseTensorDenseMatMul.Options...) - Method in class org.tensorflow.op.SparseOps

Adds an SparseTensorDenseMatMul operation to the graph

SparseTensorDenseMatMul<U> - Class in org.tensorflow.op.sparse

Multiply SparseTensor (of rank 2) "A" by dense matrix "B".

SparseTensorDenseMatMul.Options - Class in org.tensorflow.op.sparse

Optional attributes for SparseTensorDenseMatMul

sparseTensorSliceDataset(Operand<Long>, Operand<T>, Operand<Long>) - Method in class org.tensorflow.op.DataOps

Adds an SparseTensorSliceDataset operation to the graph

SparseTensorSliceDataset - Class in org.tensorflow.op.data

Creates a dataset that splits a SparseTensor into elements row-wise.

sparseToDense(Operand<T>, Operand<T>, Operand<U>, Operand<U>, SparseToDense.Options...) - Method in class org.tensorflow.op.SparseOps

Adds an SparseToDense operation to the graph

SparseToDense<U> - Class in org.tensorflow.op.sparse

Converts a sparse representation into a dense tensor.

SparseToDense.Options - Class in org.tensorflow.op.sparse

Optional attributes for SparseToDense

sparseToSparseSetOperation(Operand<Long>, Operand<T>, Operand<Long>, Operand<Long>, Operand<T>, Operand<Long>, String, SparseToSparseSetOperation.Options...) - Method in class org.tensorflow.op.SparseOps

Adds an SparseToSparseSetOperation operation to the graph

SparseToSparseSetOperation<T> - Class in org.tensorflow.op.sparse

Applies set operation along last dimension of 2 `SparseTensor` inputs.

SparseToSparseSetOperation.Options - Class in org.tensorflow.op.sparse

Optional attributes for SparseToSparseSetOperation

sparseValues() - Method in class org.tensorflow.op.core.RaggedTensorToSparse

The values of the `SparseTensor`.

sparseValues() - Method in class org.tensorflow.op.io.DeserializeManySparse

sparseValues() - Method in class org.tensorflow.op.io.ParseExample

sparseValues() - Method in class org.tensorflow.op.io.ParseSingleExample

sparseValues() - Method in class org.tensorflow.op.sparse.DeserializeSparse

sparseValues() - Method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap

1-D.

spectrogram() - Method in class org.tensorflow.op.audio.AudioSpectrogram

3D representation of the audio frequencies as an image.

split(Operand<Integer>, Operand<T>, Long) - Method in class org.tensorflow.op.Ops

Adds an Split operation to the graph

Split<T> - Class in org.tensorflow.op.core

Splits a tensor into `num_split` tensors along one dimension.

splitV(Operand<T>, Operand<U>, Operand<Integer>, Long) - Method in class org.tensorflow.op.Ops

Adds an SplitV operation to the graph

SplitV<T> - Class in org.tensorflow.op.core

Splits a tensor into `num_split` tensors along one dimension.

sqlDataset(Operand<String>, Operand<String>, Operand<String>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.DataOps

Adds an SqlDataset operation to the graph

SqlDataset - Class in org.tensorflow.op.data

Creates a dataset that executes a SQL query and emits rows of the result set.

sqrt(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Sqrt operation to the graph

Sqrt<T> - Class in org.tensorflow.op.math

Computes square root of x element-wise.

SqrtGrad<T> - Class in org.tensorflow.op.math

Computes the gradient for the sqrt of `x` wrt its input.

sqrtm(Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Adds an Sqrtm operation to the graph

Sqrtm<T> - Class in org.tensorflow.op.linalg

Computes the matrix square root of one or more square matrices:

square(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Square operation to the graph

Square<T> - Class in org.tensorflow.op.math

Computes square of x element-wise.

squaredDifference(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an SquaredDifference operation to the graph

SquaredDifference<T> - Class in org.tensorflow.op.math

Returns (x - y)(x - y) element-wise.

squeeze(Operand<T>, Squeeze.Options...) - Method in class org.tensorflow.op.Ops

Adds an Squeeze operation to the graph

Squeeze<T> - Class in org.tensorflow.op.core

Removes dimensions of size 1 from the shape of a tensor.

Squeeze.Options - Class in org.tensorflow.op.core

Optional attributes for Squeeze

srcFormat(String) - Method in class org.tensorflow.op.nn.DataFormatDimMap.Options

srcFormat(String) - Static method in class org.tensorflow.op.nn.DataFormatDimMap

srcFormat(String) - Method in class org.tensorflow.op.nn.DataFormatVecPermute.Options

srcFormat(String) - Static method in class org.tensorflow.op.nn.DataFormatVecPermute

stack(Operand<T>, Stack.Options...) - Method in class org.tensorflow.op.Ops

Adds an Stack operation to the graph

Stack<T> - Class in org.tensorflow.op.core

Packs a list of `N` rank-`R` tensors into one rank-`(R+1)` tensor.

Stack.Options - Class in org.tensorflow.op.core

Optional attributes for Stack

stage(Iterable<Operand<?>>, Stage.Options...) - Method in class org.tensorflow.op.Ops

Adds an Stage operation to the graph

Stage - Class in org.tensorflow.op.core

Stage values similar to a lightweight Enqueue.

Stage.Options - Class in org.tensorflow.op.core

Optional attributes for Stage

stageClear(List<Class<?>>, StageClear.Options...) - Method in class org.tensorflow.op.Ops

Adds an StageClear operation to the graph

StageClear - Class in org.tensorflow.op.core

Op removes all elements in the underlying container.

StageClear.Options - Class in org.tensorflow.op.core

Optional attributes for StageClear

stagePeek(Operand<Integer>, List<Class<?>>, StagePeek.Options...) - Method in class org.tensorflow.op.Ops

Adds an StagePeek operation to the graph

StagePeek - Class in org.tensorflow.op.core

Op peeks at the values at the specified index.

StagePeek.Options - Class in org.tensorflow.op.core

Optional attributes for StagePeek

stageSize(List<Class<?>>, StageSize.Options...) - Method in class org.tensorflow.op.Ops

Adds an StageSize operation to the graph

StageSize - Class in org.tensorflow.op.core

Op returns the number of elements in the underlying container.

StageSize.Options - Class in org.tensorflow.op.core

Optional attributes for StageSize

stampToken() - Method in class org.tensorflow.op.core.BoostedTreesGetEnsembleStates

Stamp token of the tree ensemble resource.

stampToken() - Method in class org.tensorflow.op.core.BoostedTreesSerializeEnsemble

Stamp token of the tree ensemble resource.

start() - Method in class org.tensorflow.Server

Starts an in-process TensorFlow server.

state() - Method in class org.tensorflow.op.io.ReaderSerializeState

statelessMultinomial(Operand<T>, Operand<Integer>, Operand<U>) - Method in class org.tensorflow.op.RandomOps

Adds an StatelessMultinomial operation to the graph

statelessMultinomial(Operand<T>, Operand<Integer>, Operand<U>, Class<V>) - Method in class org.tensorflow.op.RandomOps

Adds an StatelessMultinomial operation to the graph

StatelessMultinomial<V extends java.lang.Number> - Class in org.tensorflow.op.random

Draws samples from a multinomial distribution.

statelessRandomNormal(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.RandomOps

Adds an StatelessRandomNormal operation to the graph

statelessRandomNormal(Operand<T>, Operand<U>, Class<V>) - Method in class org.tensorflow.op.RandomOps

Adds an StatelessRandomNormal operation to the graph

StatelessRandomNormal<V extends java.lang.Number> - Class in org.tensorflow.op.random

Outputs deterministic pseudorandom values from a normal distribution.

statelessRandomUniform(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.RandomOps

Adds an StatelessRandomUniform operation to the graph

statelessRandomUniform(Operand<T>, Operand<U>, Class<V>) - Method in class org.tensorflow.op.RandomOps

Adds an StatelessRandomUniform operation to the graph

StatelessRandomUniform<V extends java.lang.Number> - Class in org.tensorflow.op.random

Outputs deterministic pseudorandom random values from a uniform distribution.

StatelessRandomUniformInt<V extends java.lang.Number> - Class in org.tensorflow.op.random

Outputs deterministic pseudorandom random integers from a uniform distribution.

statelessTruncatedNormal(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.RandomOps

Adds an StatelessTruncatedNormal operation to the graph

statelessTruncatedNormal(Operand<T>, Operand<U>, Class<V>) - Method in class org.tensorflow.op.RandomOps

Adds an StatelessTruncatedNormal operation to the graph

StatelessTruncatedNormal<V extends java.lang.Number> - Class in org.tensorflow.op.random

Outputs deterministic pseudorandom values from a truncated normal distribution.

StaticRegexFullMatch - Class in org.tensorflow.op.strings

Check if the input matches the regex pattern.

StaticRegexReplace - Class in org.tensorflow.op.strings

Replaces the match of pattern in input with rewrite.

StaticRegexReplace.Options - Class in org.tensorflow.op.strings

Optional attributes for StaticRegexReplace

statsAggregatorHandle(StatsAggregatorHandle.Options...) - Method in class org.tensorflow.op.DataOps

Adds an StatsAggregatorHandle operation to the graph

StatsAggregatorHandle - Class in org.tensorflow.op.data

Creates a statistics manager resource.

StatsAggregatorHandle.Options - Class in org.tensorflow.op.data

Optional attributes for StatsAggregatorHandle

statsAggregatorSummary(Operand<?>) - Method in class org.tensorflow.op.SummaryOps

Adds an StatsAggregatorSummary operation to the graph

StatsAggregatorSummary - Class in org.tensorflow.op.summary

Produces a summary of any statistics recorded by the given statistics manager.

statsSummary() - Method in class org.tensorflow.op.core.BoostedTreesMakeStatsSummary

output Rank 4 Tensor (shape=[#features, #splits, #buckets, 2]) containing accumulated stats put into the corresponding node and bucket.

statusCode() - Method in class org.tensorflow.op.core.TryRpc

Same shape as `request`.

statusMessage() - Method in class org.tensorflow.op.core.TryRpc

Same shape as `request`.

stop() - Method in class org.tensorflow.Server

Stops an in-process TensorFlow server.

stopGradient(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an StopGradient operation to the graph

StopGradient<T> - Class in org.tensorflow.op.core

Stops gradient computation.

stridedSlice(Operand<T>, Operand<U>, Operand<U>, Operand<U>, StridedSlice.Options...) - Method in class org.tensorflow.op.Ops

Adds an StridedSlice operation to the graph

StridedSlice<T> - Class in org.tensorflow.op.core

Return a strided slice from `input`.

StridedSlice.Options - Class in org.tensorflow.op.core

Optional attributes for StridedSlice

stridedSliceAssign(Operand<T>, Operand<U>, Operand<U>, Operand<U>, Operand<T>, StridedSliceAssign.Options...) - Method in class org.tensorflow.op.Ops

Adds an StridedSliceAssign operation to the graph

StridedSliceAssign<T> - Class in org.tensorflow.op.core

Assign `value` to the sliced l-value reference of `ref`.

StridedSliceAssign.Options - Class in org.tensorflow.op.core

Optional attributes for StridedSliceAssign

stridedSliceGrad(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, StridedSliceGrad.Options...) - Method in class org.tensorflow.op.Ops

Adds an StridedSliceGrad operation to the graph

StridedSliceGrad<U> - Class in org.tensorflow.op.core

Returns the gradient of `StridedSlice`.

StridedSliceGrad.Options - Class in org.tensorflow.op.core

Optional attributes for StridedSliceGrad

STRING - org.tensorflow.DataType

A sequence of bytes.

stringFormat(Iterable<Operand<?>>, StringFormat.Options...) - Method in class org.tensorflow.op.StringsOps

Adds an StringFormat operation to the graph

StringFormat - Class in org.tensorflow.op.strings

Formats a string template using a list of tensors.

StringFormat.Options - Class in org.tensorflow.op.strings

Optional attributes for StringFormat

stringHandle() - Method in class org.tensorflow.op.data.IteratorToStringHandle

A string representation of the given handle.

stringHandle() - Method in class org.tensorflow.op.data.MultiDeviceIteratorToStringHandle

A string representing the resource.

stringLength(Operand<String>, StringLength.Options...) - Method in class org.tensorflow.op.StringsOps

Adds an StringLength operation to the graph

StringLength - Class in org.tensorflow.op.strings

String lengths of `input`.

StringLength.Options - Class in org.tensorflow.op.strings

Optional attributes for StringLength

strings - Variable in class org.tensorflow.op.Ops

strings() - Method in class org.tensorflow.op.Ops

Returns an API for adding strings operations to the graph

StringsOps - Class in org.tensorflow.op

An API for adding strings operations to a Graph

stringSplit(Operand<String>, Operand<String>, StringSplit.Options...) - Method in class org.tensorflow.op.StringsOps

Adds an StringSplit operation to the graph

StringSplit - Class in org.tensorflow.op.strings

Split elements of `source` based on `sep` into a `SparseTensor`.

StringSplit.Options - Class in org.tensorflow.op.strings

Optional attributes for StringSplit

strip(Operand<String>) - Method in class org.tensorflow.op.StringsOps

Adds an Strip operation to the graph

Strip - Class in org.tensorflow.op.strings

Strip leading and trailing whitespaces from the Tensor.

sub(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Sub operation to the graph

Sub<T> - Class in org.tensorflow.op.math

Returns x - y element-wise.

subsample(Float) - Method in class org.tensorflow.op.core.Skipgram.Options

subsample(Float) - Static method in class org.tensorflow.op.core.Skipgram

substr(Operand<String>, Operand<T>, Operand<T>, Substr.Options...) - Method in class org.tensorflow.op.StringsOps

Adds an Substr operation to the graph

Substr - Class in org.tensorflow.op.strings

Return substrings from `Tensor` of strings.

Substr.Options - Class in org.tensorflow.op.strings

Optional attributes for Substr

sum() - Method in class org.tensorflow.op.math.AccumulateN

sum() - Method in class org.tensorflow.op.math.AddN

sum(Operand<T>, Operand<U>, Sum.Options...) - Method in class org.tensorflow.op.Ops

Adds an Sum operation to the graph

Sum<T> - Class in org.tensorflow.op.core

Computes the sum of elements across dimensions of a tensor.

Sum.Options - Class in org.tensorflow.op.core

Optional attributes for Sum

sumIndices() - Method in class org.tensorflow.op.sparse.SparseAdd

summaries() - Method in class org.tensorflow.op.core.BoostedTreesMakeQuantileSummaries

float; List of Rank 2 Tensors each containing the quantile summary (value, weight, min_rank, max_rank) of a single feature.

summarize(Long) - Method in class org.tensorflow.op.core.AssertThat.Options

summarize(Long) - Static method in class org.tensorflow.op.core.AssertThat

summarize(Long) - Method in class org.tensorflow.op.strings.StringFormat.Options

summarize(Long) - Static method in class org.tensorflow.op.strings.StringFormat

summary - Variable in class org.tensorflow.op.Ops

summary() - Method in class org.tensorflow.op.Ops

Returns an API for adding summary operations to the graph

summary() - Method in class org.tensorflow.op.summary.AudioSummary

Scalar.

summary() - Method in class org.tensorflow.op.summary.HistogramSummary

Scalar.

summary() - Method in class org.tensorflow.op.summary.ImageSummary

Scalar.

summary() - Method in class org.tensorflow.op.summary.MergeSummary

Scalar.

summary() - Method in class org.tensorflow.op.summary.ScalarSummary

Scalar.

summary() - Method in class org.tensorflow.op.summary.StatsAggregatorSummary

summary() - Method in class org.tensorflow.op.summary.TensorSummary

SummaryOps - Class in org.tensorflow.op

An API for adding summary operations to a Graph

SummaryWriter - Class in org.tensorflow.op.summary

SummaryWriter.Options - Class in org.tensorflow.op.summary

Optional attributes for SummaryWriter

sumShape() - Method in class org.tensorflow.op.sparse.SparseAdd

sumValues() - Method in class org.tensorflow.op.sparse.SparseAdd

svd(Operand<T>, Svd.Options...) - Method in class org.tensorflow.op.LinalgOps

Adds an Svd operation to the graph

Svd<T> - Class in org.tensorflow.op.linalg

Computes the singular value decompositions of one or more matrices.

Svd.Options - Class in org.tensorflow.op.linalg

Optional attributes for Svd

switchCond(Operand<T>, Operand<Boolean>) - Method in class org.tensorflow.op.Ops

Adds an SwitchCond operation to the graph

SwitchCond<T> - Class in org.tensorflow.op.core

Forwards `data` to the output port determined by `pred`.

T

tableHandle() - Method in class org.tensorflow.op.core.HashTable

Handle to a table.

tableHandle() - Method in class org.tensorflow.op.core.MutableDenseHashTable

Handle to a table.

tableHandle() - Method in class org.tensorflow.op.core.MutableHashTable

Handle to a table.

tableHandle() - Method in class org.tensorflow.op.core.MutableHashTableOfTensors

Handle to a table.

takeDataset(Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.DataOps

Adds an TakeDataset operation to the graph

TakeDataset - Class in org.tensorflow.op.data

Creates a dataset that contains `count` elements from the `input_dataset`.

takeManySparseFromTensorsMap(Operand<Long>, Class<T>, TakeManySparseFromTensorsMap.Options...) - Method in class org.tensorflow.op.SparseOps

Adds an TakeManySparseFromTensorsMap operation to the graph

TakeManySparseFromTensorsMap<T> - Class in org.tensorflow.op.sparse

Read `SparseTensors` from a `SparseTensorsMap` and concatenate them.

TakeManySparseFromTensorsMap.Options - Class in org.tensorflow.op.sparse

Optional attributes for TakeManySparseFromTensorsMap

tan(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Tan operation to the graph

Tan<T> - Class in org.tensorflow.op.math

Computes tan of x element-wise.

tanh(Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Tanh operation to the graph

Tanh<T> - Class in org.tensorflow.op.math

Computes hyperbolic tangent of `x` element-wise.

TanhGrad<T> - Class in org.tensorflow.op.math

Computes the gradient for the tanh of `x` wrt its input.

template(String) - Method in class org.tensorflow.op.strings.StringFormat.Options

template(String) - Static method in class org.tensorflow.op.strings.StringFormat

temporaryVariable(Shape, Class<T>, TemporaryVariable.Options...) - Method in class org.tensorflow.op.Ops

Adds an TemporaryVariable operation to the graph

TemporaryVariable<T> - Class in org.tensorflow.op.core

Returns a tensor that may be mutated, but only persists within a single step.

TemporaryVariable.Options - Class in org.tensorflow.op.core

Optional attributes for TemporaryVariable

tensor() - Method in class org.tensorflow.op.core.ImmutableConst

tensor() - Method in class org.tensorflow.op.core.TensorListPopBack

tensor() - Method in class org.tensorflow.op.core.TensorListStack

tensor() - Method in class org.tensorflow.op.train.RestoreSlice

The restored tensor.

Tensor<T> - Class in org.tensorflow

A statically typed multi-dimensional array whose elements are of a type described by T.

tensorArray(Operand<Integer>, Class<T>, TensorArray.Options...) - Method in class org.tensorflow.op.Ops

Adds an TensorArray operation to the graph

TensorArray - Class in org.tensorflow.op.core

An array of Tensors of given size.

TensorArray.Options - Class in org.tensorflow.op.core

Optional attributes for TensorArray

tensorArrayClose(Operand<?>) - Method in class org.tensorflow.op.Ops

Adds an TensorArrayClose operation to the graph

TensorArrayClose - Class in org.tensorflow.op.core

Delete the TensorArray from its resource container.

tensorArrayConcat(Operand<?>, Operand<Float>, Class<T>, TensorArrayConcat.Options...) - Method in class org.tensorflow.op.Ops

Adds an TensorArrayConcat operation to the graph

TensorArrayConcat<T> - Class in org.tensorflow.op.core

Concat the elements from the TensorArray into value `value`.

TensorArrayConcat.Options - Class in org.tensorflow.op.core

Optional attributes for TensorArrayConcat

tensorArrayGather(Operand<?>, Operand<Integer>, Operand<Float>, Class<T>, TensorArrayGather.Options...) - Method in class org.tensorflow.op.Ops

Adds an TensorArrayGather operation to the graph

TensorArrayGather<T> - Class in org.tensorflow.op.core

Gather specific elements from the TensorArray into output `value`.

TensorArrayGather.Options - Class in org.tensorflow.op.core

Optional attributes for TensorArrayGather

tensorArrayGrad(Operand<?>, Operand<Float>, String) - Method in class org.tensorflow.op.Ops

Adds an TensorArrayGrad operation to the graph

TensorArrayGrad - Class in org.tensorflow.op.core

Creates a TensorArray for storing the gradients of values in the given handle.

tensorArrayGradWithShape(Operand<?>, Operand<Float>, Operand<Integer>, String) - Method in class org.tensorflow.op.Ops

Adds an TensorArrayGradWithShape operation to the graph

TensorArrayGradWithShape - Class in org.tensorflow.op.core

Creates a TensorArray for storing multiple gradients of values in the given handle.

tensorArrayName(String) - Method in class org.tensorflow.op.core.TensorArray.Options

tensorArrayName(String) - Static method in class org.tensorflow.op.core.TensorArray

tensorArrayPack(Operand<String>, Operand<Float>, Class<T>, TensorArrayPack.Options...) - Method in class org.tensorflow.op.Ops

Adds an TensorArrayPack operation to the graph

TensorArrayPack<T> - Class in org.tensorflow.op.core

TensorArrayPack.Options - Class in org.tensorflow.op.core

Optional attributes for TensorArrayPack

tensorArrayRead(Operand<?>, Operand<Integer>, Operand<Float>, Class<T>) - Method in class org.tensorflow.op.Ops

Adds an TensorArrayRead operation to the graph

TensorArrayRead<T> - Class in org.tensorflow.op.core

Read an element from the TensorArray into output `value`.

tensorArrayScatter(Operand<?>, Operand<Integer>, Operand<T>, Operand<Float>) - Method in class org.tensorflow.op.Ops

Adds an TensorArrayScatter operation to the graph

TensorArrayScatter - Class in org.tensorflow.op.core

Scatter the data from the input value into specific TensorArray elements.

tensorArraySize(Operand<?>, Operand<Float>) - Method in class org.tensorflow.op.Ops

Adds an TensorArraySize operation to the graph

TensorArraySize - Class in org.tensorflow.op.core

Get the current size of the TensorArray.

tensorArraySplit(Operand<?>, Operand<T>, Operand<Long>, Operand<Float>) - Method in class org.tensorflow.op.Ops

Adds an TensorArraySplit operation to the graph

TensorArraySplit - Class in org.tensorflow.op.core

Split the data from the input value into TensorArray elements.

tensorArrayUnpack(Operand<String>, Operand<T>, Operand<Float>) - Method in class org.tensorflow.op.Ops

Adds an TensorArrayUnpack operation to the graph

TensorArrayUnpack - Class in org.tensorflow.op.core

tensorArrayWrite(Operand<?>, Operand<Integer>, Operand<T>, Operand<Float>) - Method in class org.tensorflow.op.Ops

Adds an TensorArrayWrite operation to the graph

TensorArrayWrite - Class in org.tensorflow.op.core

Push an element onto the tensor_array.

tensorDataset(Iterable<Operand<?>>, List<Shape>) - Method in class org.tensorflow.op.DataOps

Adds an TensorDataset operation to the graph

TensorDataset - Class in org.tensorflow.op.data

Creates a dataset that emits `components` as a tuple of tensors once.

tensorDiag(Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Adds an TensorDiag operation to the graph

TensorDiag<T> - Class in org.tensorflow.op.linalg

Returns a diagonal tensor with a given diagonal values.

tensorDiagPart(Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Adds an TensorDiagPart operation to the graph

TensorDiagPart<T> - Class in org.tensorflow.op.linalg

Returns the diagonal part of the tensor.

TensorFlow - Class in org.tensorflow

Static utility methods describing the TensorFlow runtime.

TensorFlowException - Exception in org.tensorflow

Unchecked exception thrown when executing TensorFlow Graphs.

TensorForestCreateTreeVariable - Class in org.tensorflow.op.core

Creates a tree resource and returns a handle to it.

TensorForestTreeDeserialize - Class in org.tensorflow.op.core

Deserializes a proto into the tree handle

TensorForestTreeIsInitializedOp - Class in org.tensorflow.op.core

Checks whether a tree has been initialized.

TensorForestTreePredict - Class in org.tensorflow.op.core

Output the logits for the given input data

TensorForestTreeResourceHandleOp - Class in org.tensorflow.op.core

Creates a handle to a TensorForestTreeResource

TensorForestTreeResourceHandleOp.Options - Class in org.tensorflow.op.core

Optional attributes for TensorForestTreeResourceHandleOp

TensorForestTreeSerialize - Class in org.tensorflow.op.core

Serializes the tree handle to a proto

TensorForestTreeSize - Class in org.tensorflow.op.core

Get the number of nodes in a tree

tensorListConcatLists(Operand<?>, Operand<?>, Class<T>) - Method in class org.tensorflow.op.Ops

Adds an TensorListConcatLists operation to the graph

TensorListConcatLists - Class in org.tensorflow.op.core

tensorListElementShape(Operand<?>, Class<T>) - Method in class org.tensorflow.op.Ops

Adds an TensorListElementShape operation to the graph

TensorListElementShape<T extends java.lang.Number> - Class in org.tensorflow.op.core

The shape of the elements of the given list, as a tensor.

tensorListFromTensor(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an TensorListFromTensor operation to the graph

TensorListFromTensor - Class in org.tensorflow.op.core

Creates a TensorList which, when stacked, has the value of `tensor`.

tensorListGather(Operand<?>, Operand<Integer>, Class<T>) - Method in class org.tensorflow.op.Ops

Adds an TensorListGather operation to the graph

TensorListGather<T> - Class in org.tensorflow.op.core

Creates a Tensor by indexing into the TensorList.

tensorListGetItem(Operand<?>, Operand<Integer>, Class<T>) - Method in class org.tensorflow.op.Ops

Adds an TensorListGetItem operation to the graph

TensorListGetItem<T> - Class in org.tensorflow.op.core

tensorListLength(Operand<?>) - Method in class org.tensorflow.op.Ops

Adds an TensorListLength operation to the graph

TensorListLength - Class in org.tensorflow.op.core

Returns the number of tensors in the input tensor list.

tensorListPopBack(Operand<?>, Class<T>) - Method in class org.tensorflow.op.Ops

Adds an TensorListPopBack operation to the graph

TensorListPopBack<T> - Class in org.tensorflow.op.core

Returns the last element of the input list as well as a list with all but that element.

tensorListPushBack(Operand<?>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an TensorListPushBack operation to the graph

TensorListPushBack - Class in org.tensorflow.op.core

Returns a list list which has the passed-in `Tensor` as last element and the other elements of the given list in `input_handle`.

tensorListPushBackBatch(Operand<?>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an TensorListPushBackBatch operation to the graph

TensorListPushBackBatch - Class in org.tensorflow.op.core

tensorListReserve(Operand<T>, Operand<Integer>, Class<U>) - Method in class org.tensorflow.op.Ops

Adds an TensorListReserve operation to the graph

TensorListReserve - Class in org.tensorflow.op.core

List of the given size with empty elements.

tensorListScatter(Operand<T>, Operand<Integer>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an TensorListScatter operation to the graph

TensorListScatter - Class in org.tensorflow.op.core

Creates a TensorList by indexing into a Tensor.

tensorListSetItem(Operand<?>, Operand<Integer>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an TensorListSetItem operation to the graph

TensorListSetItem - Class in org.tensorflow.op.core

tensorListStack(Operand<?>, Class<T>, TensorListStack.Options...) - Method in class org.tensorflow.op.Ops

Adds an TensorListStack operation to the graph

TensorListStack<T> - Class in org.tensorflow.op.core

Stacks all tensors in the list.

TensorListStack.Options - Class in org.tensorflow.op.core

Optional attributes for TensorListStack

tensors() - Method in class org.tensorflow.op.train.Restore

shape {N}.

Tensors - Class in org.tensorflow

Type-safe factory methods for creating Tensor objects.

tensorSliceDataset(Iterable<Operand<?>>, List<Shape>) - Method in class org.tensorflow.op.DataOps

Adds an TensorSliceDataset operation to the graph

TensorSliceDataset - Class in org.tensorflow.op.data

Creates a dataset that emits each dim-0 slice of `components` once.

tensorSummary(Operand<String>, Operand<T>, Operand<String>) - Method in class org.tensorflow.op.SummaryOps

Adds an TensorSummary operation to the graph

TensorSummary - Class in org.tensorflow.op.summary

Outputs a `Summary` protocol buffer with a tensor and per-plugin data.

testEndPoint(String) - Method in class org.tensorflow.op.core.GenerateBigQueryReaderPartitions.Options

testEndPoint(String) - Static method in class org.tensorflow.op.core.GenerateBigQueryReaderPartitions

testEndPoint(String) - Method in class org.tensorflow.op.io.BigQueryReader.Options

testEndPoint(String) - Static method in class org.tensorflow.op.io.BigQueryReader

textLineDataset(Operand<String>, Operand<String>, Operand<Long>) - Method in class org.tensorflow.op.DataOps

Adds an TextLineDataset operation to the graph

TextLineDataset - Class in org.tensorflow.op.data

Creates a dataset that emits the lines of one or more text files.

textLineReader(TextLineReader.Options...) - Method in class org.tensorflow.op.IoOps

Adds an TextLineReader operation to the graph

TextLineReader - Class in org.tensorflow.op.io

A Reader that outputs the lines of a file delimited by '\n'.

TextLineReader.Options - Class in org.tensorflow.op.io

Optional attributes for TextLineReader

tfRecordDataset(Operand<String>, Operand<String>, Operand<Long>) - Method in class org.tensorflow.op.DataOps

Adds an TfRecordDataset operation to the graph

TfRecordDataset - Class in org.tensorflow.op.data

Creates a dataset that emits the records from one or more TFRecord files.

tfRecordReader(TfRecordReader.Options...) - Method in class org.tensorflow.op.IoOps

Adds an TfRecordReader operation to the graph

TfRecordReader - Class in org.tensorflow.op.io

A Reader that outputs the records from a TensorFlow Records file.

TfRecordReader.Options - Class in org.tensorflow.op.io

Optional attributes for TfRecordReader

thresholdsList() - Method in class org.tensorflow.op.core.BoostedTreesCalculateBestGainsPerFeature

An output list of Rank 1 tensors indicating the bucket id to compare with (as a threshold) for split in each node.

tile(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an Tile operation to the graph

Tile<T> - Class in org.tensorflow.op.core

Constructs a tensor by tiling a given tensor.

tileGrad(Operand<T>, Operand<Integer>) - Method in class org.tensorflow.op.TrainOps

Adds an TileGrad operation to the graph

TileGrad<T> - Class in org.tensorflow.op.train

Returns the gradient of `Tile`.

timeoutInMs(Long) - Method in class org.tensorflow.op.core.Rpc.Options

timeoutInMs(Long) - Static method in class org.tensorflow.op.core.Rpc

timeoutInMs(Long) - Method in class org.tensorflow.op.core.TryRpc.Options

timeoutInMs(Long) - Static method in class org.tensorflow.op.core.TryRpc

timeoutMs(Long) - Method in class org.tensorflow.op.core.BarrierTakeMany.Options

timeoutMs(Long) - Static method in class org.tensorflow.op.core.BarrierTakeMany

timeoutMs(Long) - Method in class org.tensorflow.op.io.QueueDequeue.Options

timeoutMs(Long) - Static method in class org.tensorflow.op.io.QueueDequeue

timeoutMs(Long) - Method in class org.tensorflow.op.io.QueueDequeueMany.Options

timeoutMs(Long) - Static method in class org.tensorflow.op.io.QueueDequeueMany

timeoutMs(Long) - Method in class org.tensorflow.op.io.QueueDequeueUpTo.Options

timeoutMs(Long) - Static method in class org.tensorflow.op.io.QueueDequeueUpTo

timeoutMs(Long) - Method in class org.tensorflow.op.io.QueueEnqueue.Options

timeoutMs(Long) - Static method in class org.tensorflow.op.io.QueueEnqueue

timeoutMs(Long) - Method in class org.tensorflow.op.io.QueueEnqueueMany.Options

timeoutMs(Long) - Static method in class org.tensorflow.op.io.QueueEnqueueMany

timestamp() - Method in class org.tensorflow.op.Ops

Adds an Timestamp operation to the graph

Timestamp - Class in org.tensorflow.op.core

Provides the time since epoch in seconds.

toGraphDef() - Method in class org.tensorflow.Graph

Generate a serialized representation of the Graph.

toHashBucket(Operand<String>, Long) - Method in class org.tensorflow.op.StringsOps

Adds an ToHashBucket operation to the graph

ToHashBucket - Class in org.tensorflow.op.strings

Converts each string in the input Tensor to its hash mod by a number of buckets.

toHashBucketFast(Operand<String>, Long) - Method in class org.tensorflow.op.StringsOps

Adds an ToHashBucketFast operation to the graph

ToHashBucketFast - Class in org.tensorflow.op.strings

Converts each string in the input Tensor to its hash mod by a number of buckets.

toHashBucketStrong(Operand<String>, Long, List<Long>) - Method in class org.tensorflow.op.StringsOps

Adds an ToHashBucketStrong operation to the graph

ToHashBucketStrong - Class in org.tensorflow.op.strings

Converts each string in the input Tensor to its hash mod by a number of buckets.

tolerance(Float) - Method in class org.tensorflow.op.math.ApproximateEqual.Options

tolerance(Float) - Static method in class org.tensorflow.op.math.ApproximateEqual

toNumber(Operand<String>) - Method in class org.tensorflow.op.StringsOps

Adds an ToNumber operation to the graph

toNumber(Operand<String>, Class<T>) - Method in class org.tensorflow.op.StringsOps

Adds an ToNumber operation to the graph

ToNumber<T extends java.lang.Number> - Class in org.tensorflow.op.strings

Converts each string in the input Tensor to the specified numeric type.

topK(Operand<T>, Operand<Integer>, TopK.Options...) - Method in class org.tensorflow.op.NnOps

Adds an TopK operation to the graph

TopK<T extends java.lang.Number> - Class in org.tensorflow.op.nn

Finds values and indices of the `k` largest elements for the last dimension.

TopK.Options - Class in org.tensorflow.op.nn

Optional attributes for TopK

toString() - Method in class org.tensorflow.op.PrimitiveOp

toString() - Method in class org.tensorflow.Operation

toString() - Method in class org.tensorflow.Output

toString() - Method in class org.tensorflow.Shape

Succinct description of the shape meant for debugging.

toString() - Method in class org.tensorflow.Tensor

Returns a string describing the type and shape of the Tensor.

totalWordsProcessed() - Method in class org.tensorflow.op.core.Skipgram

The total number of words processed so far.

train - Variable in class org.tensorflow.op.Ops

train() - Method in class org.tensorflow.op.Ops

Returns an API for adding train operations to the graph

TrainOps - Class in org.tensorflow.op

An API for adding train operations to a Graph

transpose(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.LinalgOps

Adds an Transpose operation to the graph

Transpose<T> - Class in org.tensorflow.op.linalg

Shuffle dimensions of x according to a permutation.

transposeA(Boolean) - Method in class org.tensorflow.op.linalg.MatMul.Options

transposeA(Boolean) - Static method in class org.tensorflow.op.linalg.MatMul

transposeA(Boolean) - Method in class org.tensorflow.op.linalg.QuantizedMatMul.Options

transposeA(Boolean) - Static method in class org.tensorflow.op.linalg.QuantizedMatMul

transposeA(Boolean) - Method in class org.tensorflow.op.sparse.SparseMatMul.Options

transposeA(Boolean) - Static method in class org.tensorflow.op.sparse.SparseMatMul

transposeB(Boolean) - Method in class org.tensorflow.op.linalg.MatMul.Options

transposeB(Boolean) - Static method in class org.tensorflow.op.linalg.MatMul

transposeB(Boolean) - Method in class org.tensorflow.op.linalg.QuantizedMatMul.Options

transposeB(Boolean) - Static method in class org.tensorflow.op.linalg.QuantizedMatMul

transposeB(Boolean) - Method in class org.tensorflow.op.sparse.SparseMatMul.Options

transposeB(Boolean) - Static method in class org.tensorflow.op.sparse.SparseMatMul

treeConfig() - Method in class org.tensorflow.op.core.TensorForestTreeSerialize

Serialied proto string of the tree resource.

treeEnsembleSerialized() - Method in class org.tensorflow.op.core.BoostedTreesSerializeEnsemble

Serialized proto of the ensemble.

treeIds() - Method in class org.tensorflow.op.core.BoostedTreesTrainingPredict

Rank 1 Tensor containing new tree ids for each example.

treeSize() - Method in class org.tensorflow.op.core.TensorForestTreeSize

The size of the tree.

triangularSolve(Operand<T>, Operand<T>, TriangularSolve.Options...) - Method in class org.tensorflow.op.LinalgOps

Adds an TriangularSolve operation to the graph

TriangularSolve<T> - Class in org.tensorflow.op.linalg

Solves systems of linear equations with upper or lower triangular matrices by

TriangularSolve.Options - Class in org.tensorflow.op.linalg

Optional attributes for TriangularSolve

trueExpectedCount() - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler

A batch_size * num_true matrix, representing the number of times each candidate is expected to occur in a batch of sampled candidates.

trueExpectedCount() - Method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler

A batch_size * num_true matrix, representing the number of times each candidate is expected to occur in a batch of sampled candidates.

trueExpectedCount() - Method in class org.tensorflow.op.random.AllCandidateSampler

A batch_size * num_true matrix, representing the number of times each candidate is expected to occur in a batch of sampled candidates.

trueExpectedCount() - Method in class org.tensorflow.op.random.LogUniformCandidateSampler

A batch_size * num_true matrix, representing the number of times each candidate is expected to occur in a batch of sampled candidates.

trueExpectedCount() - Method in class org.tensorflow.op.random.UniformCandidateSampler

A batch_size * num_true matrix, representing the number of times each candidate is expected to occur in a batch of sampled candidates.

Truncate(Boolean) - Method in class org.tensorflow.op.dtypes.Cast.Options

Truncate(Boolean) - Static method in class org.tensorflow.op.dtypes.Cast

truncateDiv(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an TruncateDiv operation to the graph

TruncateDiv<T> - Class in org.tensorflow.op.math

Returns x / y element-wise for integer types.

truncatedNormal(Operand<T>, Class<U>, TruncatedNormal.Options...) - Method in class org.tensorflow.op.RandomOps

Adds an TruncatedNormal operation to the graph

TruncatedNormal<U extends java.lang.Number> - Class in org.tensorflow.op.random

Outputs random values from a truncated normal distribution.

TruncatedNormal.Options - Class in org.tensorflow.op.random

Optional attributes for TruncatedNormal

truncateMod(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an TruncateMod operation to the graph

TruncateMod<T extends java.lang.Number> - Class in org.tensorflow.op.math

Returns element-wise remainder of division.

tryRecoverTruncated(Boolean) - Method in class org.tensorflow.op.image.DecodeAndCropJpeg.Options

tryRecoverTruncated(Boolean) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg

tryRecoverTruncated(Boolean) - Method in class org.tensorflow.op.image.DecodeJpeg.Options

tryRecoverTruncated(Boolean) - Static method in class org.tensorflow.op.image.DecodeJpeg

tryRpc(Operand<String>, Operand<String>, Operand<String>, TryRpc.Options...) - Method in class org.tensorflow.op.Ops

Adds an TryRpc operation to the graph

TryRpc - Class in org.tensorflow.op.core

Perform batches of RPC requests.

TryRpc.Options - Class in org.tensorflow.op.core

Optional attributes for TryRpc

ts() - Method in class org.tensorflow.op.core.Timestamp

type() - Method in class org.tensorflow.Operation

Returns the type of the operation, i.e., the name of the computation performed by the operation.

U

u() - Method in class org.tensorflow.op.linalg.BatchSvd

u() - Method in class org.tensorflow.op.linalg.Svd

Left singular vectors.

UInt8 - Class in org.tensorflow.types

Represents an 8-bit unsigned integer.

UINT8 - org.tensorflow.DataType

8-bit unsigned integer.

unbatch(Operand<T>, Operand<Long>, Operand<Long>, Long, Unbatch.Options...) - Method in class org.tensorflow.op.Ops

Adds an Unbatch operation to the graph

Unbatch<T> - Class in org.tensorflow.op.core

Reverses the operation of Batch for a single output Tensor.

Unbatch.Options - Class in org.tensorflow.op.core

Optional attributes for Unbatch

unbatchDataset(Operand<?>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.DataOps

Adds an UnbatchDataset operation to the graph

UnbatchDataset - Class in org.tensorflow.op.data

A dataset that splits the elements of its input into multiple elements.

unbatchedTensor() - Method in class org.tensorflow.op.core.Unbatch

unbatchGrad(Operand<T>, Operand<Long>, Operand<T>, Operand<Long>, UnbatchGrad.Options...) - Method in class org.tensorflow.op.Ops

Adds an UnbatchGrad operation to the graph

UnbatchGrad<T> - Class in org.tensorflow.op.core

Gradient of Unbatch.

UnbatchGrad.Options - Class in org.tensorflow.op.core

Optional attributes for UnbatchGrad

UnicodeDecodeWithOffsets - Class in org.tensorflow.op.strings

Decodes each string in `input` into a sequence of Unicode code points.

UnicodeDecodeWithOffsets.Options - Class in org.tensorflow.op.strings

Optional attributes for UnicodeDecodeWithOffsets

unicodeScript(Operand<Integer>) - Method in class org.tensorflow.op.StringsOps

Adds an UnicodeScript operation to the graph

UnicodeScript - Class in org.tensorflow.op.strings

Determine the script codes of a given tensor of Unicode integer code points.

unicodeTranscode(Operand<String>, String, String, UnicodeTranscode.Options...) - Method in class org.tensorflow.op.StringsOps

Adds an UnicodeTranscode operation to the graph

UnicodeTranscode - Class in org.tensorflow.op.strings

Transcode the input text from a source encoding to a destination encoding.

UnicodeTranscode.Options - Class in org.tensorflow.op.strings

Optional attributes for UnicodeTranscode

uniformCandidateSampler(Operand<Long>, Long, Long, Boolean, Long, UniformCandidateSampler.Options...) - Method in class org.tensorflow.op.RandomOps

Adds an UniformCandidateSampler operation to the graph

UniformCandidateSampler - Class in org.tensorflow.op.random

Generates labels for candidate sampling with a uniform distribution.

UniformCandidateSampler.Options - Class in org.tensorflow.op.random

Optional attributes for UniformCandidateSampler

uniformNoise(Boolean) - Method in class org.tensorflow.op.image.ExtractGlimpse.Options

uniformNoise(Boolean) - Static method in class org.tensorflow.op.image.ExtractGlimpse

unigrams(List<Float>) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options

unigrams(List<Float>) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler

unique(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an Unique operation to the graph

unique(Operand<T>, Operand<U>, Class<V>) - Method in class org.tensorflow.op.Ops

Adds an Unique operation to the graph

Unique<T,V extends java.lang.Number> - Class in org.tensorflow.op.core

Finds unique elements along an axis of a tensor.

uniqueWithCounts(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an UniqueWithCounts operation to the graph

uniqueWithCounts(Operand<T>, Operand<U>, Class<V>) - Method in class org.tensorflow.op.Ops

Adds an UniqueWithCounts operation to the graph

UniqueWithCounts<T,V extends java.lang.Number> - Class in org.tensorflow.op.core

Finds unique elements along an axis of a tensor.

unit(String) - Method in class org.tensorflow.op.strings.StringLength.Options

unit(String) - Static method in class org.tensorflow.op.strings.StringLength

unit(String) - Method in class org.tensorflow.op.strings.Substr.Options

unit(String) - Static method in class org.tensorflow.op.strings.Substr

unitsCompleted() - Method in class org.tensorflow.op.io.ReaderNumWorkUnitsCompleted

unknown() - Static method in class org.tensorflow.Shape

Create a Shape representing an unknown number of dimensions.

unravelIndex(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an UnravelIndex operation to the graph

UnravelIndex<T extends java.lang.Number> - Class in org.tensorflow.op.core

Converts a flat index or array of flat indices into a tuple of

unsortedSegmentMax(Operand<T>, Operand<U>, Operand<V>) - Method in class org.tensorflow.op.MathOps

Adds an UnsortedSegmentMax operation to the graph

UnsortedSegmentMax<T extends java.lang.Number> - Class in org.tensorflow.op.math

Computes the maximum along segments of a tensor.

unsortedSegmentMin(Operand<T>, Operand<U>, Operand<V>) - Method in class org.tensorflow.op.MathOps

Adds an UnsortedSegmentMin operation to the graph

UnsortedSegmentMin<T extends java.lang.Number> - Class in org.tensorflow.op.math

Computes the minimum along segments of a tensor.

unsortedSegmentProd(Operand<T>, Operand<U>, Operand<V>) - Method in class org.tensorflow.op.MathOps

Adds an UnsortedSegmentProd operation to the graph

UnsortedSegmentProd<T> - Class in org.tensorflow.op.math

Computes the product along segments of a tensor.

unsortedSegmentSum(Operand<T>, Operand<U>, Operand<V>) - Method in class org.tensorflow.op.MathOps

Adds an UnsortedSegmentSum operation to the graph

UnsortedSegmentSum<T> - Class in org.tensorflow.op.math

Computes the sum along segments of a tensor.

unstack(Operand<T>, Long, Unstack.Options...) - Method in class org.tensorflow.op.Ops

Adds an Unstack operation to the graph

Unstack<T> - Class in org.tensorflow.op.core

Unpacks a given dimension of a rank-`R` tensor into `num` rank-`(R-1)` tensors.

Unstack.Options - Class in org.tensorflow.op.core

Optional attributes for Unstack

unstage(List<Class<?>>, Unstage.Options...) - Method in class org.tensorflow.op.Ops

Adds an Unstage operation to the graph

Unstage - Class in org.tensorflow.op.core

Op is similar to a lightweight Dequeue.

Unstage.Options - Class in org.tensorflow.op.core

Optional attributes for Unstage

updateSlots(Boolean) - Method in class org.tensorflow.op.train.ApplyAdagrad.Options

updateSlots(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdagrad

updateSlots(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdagrad.Options

updateSlots(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdagrad

updateSlots(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Options

updateSlots(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagrad

updateSlots(Boolean) - Method in class org.tensorflow.op.train.SparseApplyAdagrad.Options

updateSlots(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyAdagrad

UpperBound<U extends java.lang.Number> - Class in org.tensorflow.op.core

Applies upper_bound(sorted_search_values, values) along each row.

upperFrequencyLimit(Float) - Method in class org.tensorflow.op.audio.Mfcc.Options

upperFrequencyLimit(Float) - Static method in class org.tensorflow.op.audio.Mfcc

useCudnnOnGpu(Boolean) - Method in class org.tensorflow.op.nn.Conv2d.Options

useCudnnOnGpu(Boolean) - Static method in class org.tensorflow.op.nn.Conv2d

useCudnnOnGpu(Boolean) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter.Options

useCudnnOnGpu(Boolean) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilter

useCudnnOnGpu(Boolean) - Method in class org.tensorflow.op.nn.Conv2dBackpropInput.Options

useCudnnOnGpu(Boolean) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInput

useImageIfNoBoundingBoxes(Boolean) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options

useImageIfNoBoundingBoxes(Boolean) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox

useLocking(Boolean) - Method in class org.tensorflow.op.core.Assign.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.Assign

useLocking(Boolean) - Method in class org.tensorflow.op.core.AssignAdd.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.AssignAdd

useLocking(Boolean) - Method in class org.tensorflow.op.core.AssignSub.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.AssignSub

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceScatterNdAdd.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceScatterNdAdd

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceScatterNdUpdate.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceScatterNdUpdate

useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterAdd.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterAdd

useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterDiv.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterDiv

useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterMax.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterMax

useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterMin.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterMin

useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterMul.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterMul

useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterNdAdd.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterNdAdd

useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterNdSub.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterNdSub

useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterNdUpdate.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterNdUpdate

useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterSub.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterSub

useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterUpdate.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterUpdate

useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyAdadelta.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdadelta

useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyAdagrad.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdagrad

useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyAdagradDa.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdagradDa

useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyAdam.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdam

useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyAdaMax.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdaMax

useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyAddSign.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyAddSign

useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyCenteredRmsProp.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyCenteredRmsProp

useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyFtrl.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyFtrl

useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyGradientDescent.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyGradientDescent

useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyMomentum.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyMomentum

useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyPowerSign.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyPowerSign

useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyProximalAdagrad.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyProximalAdagrad

useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyProximalGradientDescent.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyProximalGradientDescent

useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyRmsProp.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyRmsProp

useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdadelta.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdadelta

useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdagrad.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdagrad

useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdagradDa.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdagradDa

useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdam.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdam

useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdaMax.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdaMax

useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAddSign.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAddSign

useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp

useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyFtrl.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyFtrl

useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyGradientDescent.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyGradientDescent

useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyMomentum.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyMomentum

useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyPowerSign.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyPowerSign

useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyProximalAdagrad

useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent

useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyRmsProp.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyRmsProp

useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdadelta

useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagrad

useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa

useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp

useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyFtrl

useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyMomentum

useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad

useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent

useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyRmsProp

useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyAdadelta.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyAdadelta

useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyAdagrad.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyAdagrad

useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyAdagradDa.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyAdagradDa

useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyCenteredRmsProp

useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyFtrl.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyFtrl

useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyMomentum.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyMomentum

useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyProximalAdagrad

useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyProximalGradientDescent

useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyRmsProp.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyRmsProp

useNesterov(Boolean) - Method in class org.tensorflow.op.train.ApplyAdam.Options

useNesterov(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdam

useNesterov(Boolean) - Method in class org.tensorflow.op.train.ApplyMomentum.Options

useNesterov(Boolean) - Static method in class org.tensorflow.op.train.ApplyMomentum

useNesterov(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdam.Options

useNesterov(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdam

useNesterov(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyMomentum.Options

useNesterov(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyMomentum

useNesterov(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Options

useNesterov(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyMomentum

useNesterov(Boolean) - Method in class org.tensorflow.op.train.SparseApplyMomentum.Options

useNesterov(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyMomentum

useNodeNameSharing(Boolean) - Method in class org.tensorflow.op.core.HashTable.Options

useNodeNameSharing(Boolean) - Static method in class org.tensorflow.op.core.HashTable

useNodeNameSharing(Boolean) - Method in class org.tensorflow.op.core.MutableDenseHashTable.Options

useNodeNameSharing(Boolean) - Static method in class org.tensorflow.op.core.MutableDenseHashTable

useNodeNameSharing(Boolean) - Method in class org.tensorflow.op.core.MutableHashTable.Options

useNodeNameSharing(Boolean) - Static method in class org.tensorflow.op.core.MutableHashTable

useNodeNameSharing(Boolean) - Method in class org.tensorflow.op.core.MutableHashTableOfTensors.Options

useNodeNameSharing(Boolean) - Static method in class org.tensorflow.op.core.MutableHashTableOfTensors

useQuoteDelim(Boolean) - Method in class org.tensorflow.op.io.DecodeCsv.Options

useQuoteDelim(Boolean) - Static method in class org.tensorflow.op.io.DecodeCsv

V

v() - Method in class org.tensorflow.op.linalg.BatchSelfAdjointEig

v() - Method in class org.tensorflow.op.linalg.BatchSvd

v() - Method in class org.tensorflow.op.linalg.SelfAdjointEig

Eigenvectors.

v() - Method in class org.tensorflow.op.linalg.Svd

Left singular vectors.

valGrad() - Method in class org.tensorflow.op.sparse.SparseSliceGrad

1-D.

validateIndices(Boolean) - Method in class org.tensorflow.op.core.ResourceGather.Options

validateIndices(Boolean) - Static method in class org.tensorflow.op.core.ResourceGather

validateIndices(Boolean) - Method in class org.tensorflow.op.core.SetSize.Options

validateIndices(Boolean) - Static method in class org.tensorflow.op.core.SetSize

validateIndices(Boolean) - Method in class org.tensorflow.op.sparse.DenseToDenseSetOperation.Options

validateIndices(Boolean) - Static method in class org.tensorflow.op.sparse.DenseToDenseSetOperation

validateIndices(Boolean) - Method in class org.tensorflow.op.sparse.DenseToSparseSetOperation.Options

validateIndices(Boolean) - Static method in class org.tensorflow.op.sparse.DenseToSparseSetOperation

validateIndices(Boolean) - Method in class org.tensorflow.op.sparse.SparseToDense.Options

validateIndices(Boolean) - Static method in class org.tensorflow.op.sparse.SparseToDense

validateIndices(Boolean) - Method in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Options

validateIndices(Boolean) - Static method in class org.tensorflow.op.sparse.SparseToSparseSetOperation

validateShape(Boolean) - Method in class org.tensorflow.op.core.Assign.Options

validateShape(Boolean) - Static method in class org.tensorflow.op.core.Assign

validOutputs() - Method in class org.tensorflow.op.image.NonMaxSuppression

A 0-D integer tensor representing the number of valid elements in `selected_indices`, with the valid elements appearing first.

value() - Method in class org.tensorflow.op.core.DestroyTemporaryVariable

value() - Method in class org.tensorflow.op.core.GetSessionTensor

The tensor for the given handle.

value() - Method in class org.tensorflow.op.core.ReadVariableOp

value() - Method in class org.tensorflow.op.core.TensorArrayConcat

All of the elements in the TensorArray, concatenated along the first axis.

value() - Method in class org.tensorflow.op.core.TensorArrayGather

All of the elements in the TensorArray, concatenated along a new axis (the new dimension 0).

value() - Method in class org.tensorflow.op.core.TensorArrayPack

value() - Method in class org.tensorflow.op.core.TensorArrayRead

The tensor that is read from the TensorArray.

value() - Method in class org.tensorflow.op.io.ReaderRead

A scalar.

valueIndex() - Method in class org.tensorflow.op.core.Merge

The index of the chosen input tensor in `inputs`.

valueIndex() - Method in class org.tensorflow.op.core.RefMerge

The index of the chosen input tensor in `inputs`.

valueOf(String) - Static method in enum org.tensorflow.DataType

Returns the enum constant of this type with the specified name.

values() - Static method in enum org.tensorflow.DataType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Method in class org.tensorflow.op.core.BarrierTakeMany

One any-dimensional tensor per component in a barrier element.

values() - Method in class org.tensorflow.op.core.DecodeProto

List of tensors containing values for the corresponding field.

values() - Method in class org.tensorflow.op.core.LookupTableExport

Tensor of all values in the table.

values() - Method in class org.tensorflow.op.core.LookupTableFind

Same shape as `keys`.

values() - Method in class org.tensorflow.op.core.MapPeek

values() - Method in class org.tensorflow.op.core.MapUnstage

values() - Method in class org.tensorflow.op.core.MapUnstageNoKey

values() - Method in class org.tensorflow.op.core.OrderedMapPeek

values() - Method in class org.tensorflow.op.core.OrderedMapUnstage

values() - Method in class org.tensorflow.op.core.OrderedMapUnstageNoKey

values() - Method in class org.tensorflow.op.core.StagePeek

values() - Method in class org.tensorflow.op.core.TensorListGather

values() - Method in class org.tensorflow.op.core.Unstage

values() - Method in class org.tensorflow.op.io.ReaderReadUpTo

A 1-D tensor.

values() - Method in class org.tensorflow.op.nn.NthElement

The `n`-th order statistic along each last dimensional slice.

values() - Method in class org.tensorflow.op.nn.TopK

The `k` largest elements along each last dimensional slice.

values() - Method in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient

Values of the average of the accumulated sparse gradients.

values() - Method in class org.tensorflow.op.strings.StringSplit

valueShape(Shape) - Method in class org.tensorflow.op.core.MutableDenseHashTable.Options

valueShape(Shape) - Static method in class org.tensorflow.op.core.MutableDenseHashTable

valueShape(Shape) - Method in class org.tensorflow.op.core.MutableHashTableOfTensors.Options

valueShape(Shape) - Static method in class org.tensorflow.op.core.MutableHashTableOfTensors

varHandleOp(Class<T>, Shape, VarHandleOp.Options...) - Method in class org.tensorflow.op.Ops

Adds an VarHandleOp operation to the graph

VarHandleOp - Class in org.tensorflow.op.core

Creates a handle to a Variable resource.

VarHandleOp.Options - Class in org.tensorflow.op.core

Optional attributes for VarHandleOp

variable(Shape, Class<T>, Variable.Options...) - Method in class org.tensorflow.op.Ops

Adds an Variable operation to the graph

Variable<T> - Class in org.tensorflow.op.core

Holds state in the form of a tensor that persists across steps.

Variable.Options - Class in org.tensorflow.op.core

Optional attributes for Variable

variableShape(Operand<?>) - Method in class org.tensorflow.op.Ops

Adds an VariableShape operation to the graph

variableShape(Operand<?>, Class<T>) - Method in class org.tensorflow.op.Ops

Adds an VariableShape operation to the graph

VariableShape<T extends java.lang.Number> - Class in org.tensorflow.op.core

Returns the shape of the variable pointed to by `resource`.

varianceEpsilon(Float) - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm.Options

varianceEpsilon(Float) - Static method in class org.tensorflow.op.nn.QuantizedInstanceNorm

varIsInitializedOp(Operand<?>) - Method in class org.tensorflow.op.Ops

Adds an VarIsInitializedOp operation to the graph

VarIsInitializedOp - Class in org.tensorflow.op.core

Checks whether a resource handle-based variable has been initialized.

varName(String) - Method in class org.tensorflow.op.core.TemporaryVariable.Options

varName(String) - Static method in class org.tensorflow.op.core.TemporaryVariable

version() - Static method in class org.tensorflow.TensorFlow

Returns the version of the underlying TensorFlow runtime.

vocabFile(String) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options

vocabFile(String) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler

vocabFreq() - Method in class org.tensorflow.op.core.Skipgram

Frequencies of words.

vocabSize(Long) - Method in class org.tensorflow.op.core.InitializeTableFromTextFile.Options

vocabSize(Long) - Static method in class org.tensorflow.op.core.InitializeTableFromTextFile

vocabWord() - Method in class org.tensorflow.op.core.Skipgram

A vector of words in the corpus.

W

waitForIncomplete(Boolean) - Method in class org.tensorflow.op.core.BarrierTakeMany.Options

waitForIncomplete(Boolean) - Static method in class org.tensorflow.op.core.BarrierTakeMany

weights() - Method in class org.tensorflow.op.nn.ComputeAccidentalHits

A vector of the same length as indices and ids, in which each element is -FLOAT_MAX.

weights() - Method in class org.tensorflow.op.nn.CudnnRnnParamsToCanonical

where(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Where operation to the graph

Where - Class in org.tensorflow.op.core

Returns locations of nonzero / true values in a tensor.

where3(Operand<Boolean>, Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Where3 operation to the graph

Where3<T> - Class in org.tensorflow.op.core

Selects elements from `x` or `y`, depending on `condition`.

wholeFileReader(WholeFileReader.Options...) - Method in class org.tensorflow.op.IoOps

Adds an WholeFileReader operation to the graph

WholeFileReader - Class in org.tensorflow.op.io

A Reader that outputs the entire contents of a file as a value.

WholeFileReader.Options - Class in org.tensorflow.op.io

Optional attributes for WholeFileReader

width(Long) - Method in class org.tensorflow.op.dtypes.AsString.Options

width(Long) - Static method in class org.tensorflow.op.dtypes.AsString

WindowDataset - Class in org.tensorflow.op.data

A dataset that creates window datasets from the input dataset.

windowSize(Long) - Method in class org.tensorflow.op.core.Skipgram.Options

windowSize(Long) - Static method in class org.tensorflow.op.core.Skipgram

withConfigProto(byte[]) - Method in class org.tensorflow.SavedModelBundle.Loader

Set configuration of the Session object created when loading the model.

withName(String) - Method in class org.tensorflow.op.Ops

Returns an API that uses the provided name for an op.

withName(String) - Method in class org.tensorflow.op.Scope

Return a new scope that uses the provided name for an op.

withRunOptions(byte[]) - Method in class org.tensorflow.SavedModelBundle.Loader

Sets options to use when executing model initialization operations.

withSubScope(String) - Method in class org.tensorflow.op.Ops

Returns an API that adds operations to the graph with the provided name prefix.

withSubScope(String) - Method in class org.tensorflow.op.Scope

Returns a new scope where added operations will have the provided name prefix.

withTags(String...) - Method in class org.tensorflow.SavedModelBundle.Loader

Sets the set of tags that identify the specific graph in the saved model to load.

wordsPerEpoch() - Method in class org.tensorflow.op.core.Skipgram

Number of words per epoch in the data file.

WriteAudioSummary - Class in org.tensorflow.op.summary

WriteAudioSummary.Options - Class in org.tensorflow.op.summary

Optional attributes for WriteAudioSummary

writeFile(Operand<String>, Operand<String>) - Method in class org.tensorflow.op.IoOps

Adds an WriteFile operation to the graph

WriteFile - Class in org.tensorflow.op.io

Writes contents to the file at input filename.

WriteGraphSummary - Class in org.tensorflow.op.summary

WriteHistogramSummary - Class in org.tensorflow.op.summary

WriteImageSummary - Class in org.tensorflow.op.summary

WriteImageSummary.Options - Class in org.tensorflow.op.summary

Optional attributes for WriteImageSummary

writer() - Method in class org.tensorflow.op.summary.SummaryWriter

WriteScalarSummary - Class in org.tensorflow.op.summary

WriteSummary - Class in org.tensorflow.op.summary

writeTo(ByteBuffer) - Method in class org.tensorflow.Tensor

Write the tensor data into the given buffer.

writeTo(DoubleBuffer) - Method in class org.tensorflow.Tensor

Write the data of a Double tensor into the given buffer.

writeTo(FloatBuffer) - Method in class org.tensorflow.Tensor

Write the data of a Float tensor into the given buffer.

writeTo(IntBuffer) - Method in class org.tensorflow.Tensor

Write the data of a Integer tensor into the given buffer.

writeTo(LongBuffer) - Method in class org.tensorflow.Tensor

Write the data of a Long tensor into the given buffer.

X

xBackprop() - Method in class org.tensorflow.op.nn.FusedBatchNormGrad

A 4D Tensor for the gradient with respect to x.

xDensity(Long) - Method in class org.tensorflow.op.image.EncodeJpeg.Options

xDensity(Long) - Static method in class org.tensorflow.op.image.EncodeJpeg

xdivy(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Xdivy operation to the graph

Xdivy<T> - Class in org.tensorflow.op.math

Returns 0 if x == 0, and x / y otherwise, elementwise.

xlogy(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Xlogy operation to the graph

Xlogy<T> - Class in org.tensorflow.op.math

Returns 0 if x == 0, and x * log(y) otherwise, elementwise.

xmpMetadata(String) - Method in class org.tensorflow.op.image.EncodeJpeg.Options

xmpMetadata(String) - Static method in class org.tensorflow.op.image.EncodeJpeg

Y

y() - Method in class org.tensorflow.op.bitwise.Invert

y() - Method in class org.tensorflow.op.core.DeepCopy

y: A `Tensor` of type `T`.

y() - Method in class org.tensorflow.op.core.InplaceAdd

A `Tensor` of type T.

y() - Method in class org.tensorflow.op.core.InplaceSub

A `Tensor` of type T.

y() - Method in class org.tensorflow.op.core.InplaceUpdate

A `Tensor` of type T.

y() - Method in class org.tensorflow.op.core.OnesLike

a tensor of the same shape and type as x but filled with ones.

y() - Method in class org.tensorflow.op.core.Unique

A `Tensor`.

y() - Method in class org.tensorflow.op.core.UniqueWithCounts

A `Tensor`.

y() - Method in class org.tensorflow.op.core.ZerosLike

a tensor of the same shape and type as x but filled with zeros.

y() - Method in class org.tensorflow.op.dtypes.Cast

y() - Method in class org.tensorflow.op.linalg.ConjugateTranspose

y() - Method in class org.tensorflow.op.linalg.Transpose

y() - Method in class org.tensorflow.op.math.Abs

y() - Method in class org.tensorflow.op.math.Acos

y() - Method in class org.tensorflow.op.math.Acosh

y() - Method in class org.tensorflow.op.math.Asin

y() - Method in class org.tensorflow.op.math.Asinh

y() - Method in class org.tensorflow.op.math.Atan

y() - Method in class org.tensorflow.op.math.Atanh

y() - Method in class org.tensorflow.op.math.BesselI0e

y() - Method in class org.tensorflow.op.math.BesselI1e

y() - Method in class org.tensorflow.op.math.Ceil

y() - Method in class org.tensorflow.op.math.ComplexAbs

y() - Method in class org.tensorflow.op.math.Cos

y() - Method in class org.tensorflow.op.math.Cosh

y() - Method in class org.tensorflow.op.math.Digamma

y() - Method in class org.tensorflow.op.math.Erf

y() - Method in class org.tensorflow.op.math.Erfc

y() - Method in class org.tensorflow.op.math.Exp

y() - Method in class org.tensorflow.op.math.Expm1

y() - Method in class org.tensorflow.op.math.Floor

y() - Method in class org.tensorflow.op.math.InvertPermutation

1-D.

y() - Method in class org.tensorflow.op.math.IsFinite

y() - Method in class org.tensorflow.op.math.IsInf

y() - Method in class org.tensorflow.op.math.IsNan

y() - Method in class org.tensorflow.op.math.Lgamma

y() - Method in class org.tensorflow.op.math.Log

y() - Method in class org.tensorflow.op.math.Log1p

y() - Method in class org.tensorflow.op.math.LogicalNot

y() - Method in class org.tensorflow.op.math.Neg

y() - Method in class org.tensorflow.op.math.PopulationCount

y() - Method in class org.tensorflow.op.math.Reciprocal

y() - Method in class org.tensorflow.op.math.Rint

y() - Method in class org.tensorflow.op.math.Round

y() - Method in class org.tensorflow.op.math.Rsqrt

y() - Method in class org.tensorflow.op.math.Sigmoid

y() - Method in class org.tensorflow.op.math.Sign

y() - Method in class org.tensorflow.op.math.Sin

y() - Method in class org.tensorflow.op.math.Sinh

y() - Method in class org.tensorflow.op.math.Sqrt

y() - Method in class org.tensorflow.op.math.Square

y() - Method in class org.tensorflow.op.math.Tan

y() - Method in class org.tensorflow.op.math.Tanh

y() - Method in class org.tensorflow.op.nn.DataFormatDimMap

A Tensor with each element as a dimension index in destination data format.

y() - Method in class org.tensorflow.op.nn.DataFormatVecPermute

Vector of size 4 or Tensor of shape (4, 2) in destination data format.

y() - Method in class org.tensorflow.op.nn.FusedBatchNorm

A 4D Tensor for output data.

y() - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm

A 4D Tensor.

yDensity(Long) - Method in class org.tensorflow.op.image.EncodeJpeg.Options

yDensity(Long) - Static method in class org.tensorflow.op.image.EncodeJpeg

yMax() - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm

The value represented by the highest quantized output.

yMin() - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm

The value represented by the lowest quantized output.

Z

z() - Method in class org.tensorflow.op.bitwise.BitwiseAnd

z() - Method in class org.tensorflow.op.bitwise.BitwiseOr

z() - Method in class org.tensorflow.op.bitwise.BitwiseXor

z() - Method in class org.tensorflow.op.bitwise.LeftShift

z() - Method in class org.tensorflow.op.bitwise.RightShift

z() - Method in class org.tensorflow.op.math.Add

z() - Method in class org.tensorflow.op.math.ApproximateEqual

z() - Method in class org.tensorflow.op.math.Atan2

z() - Method in class org.tensorflow.op.math.Betainc

z() - Method in class org.tensorflow.op.math.Div

z() - Method in class org.tensorflow.op.math.DivNoNan

z() - Method in class org.tensorflow.op.math.Equal

z() - Method in class org.tensorflow.op.math.FloorDiv

z() - Method in class org.tensorflow.op.math.FloorMod

z() - Method in class org.tensorflow.op.math.Greater

z() - Method in class org.tensorflow.op.math.GreaterEqual

z() - Method in class org.tensorflow.op.math.Igamma

z() - Method in class org.tensorflow.op.math.Igammac

z() - Method in class org.tensorflow.op.math.IgammaGradA

z() - Method in class org.tensorflow.op.math.Less

z() - Method in class org.tensorflow.op.math.LessEqual

z() - Method in class org.tensorflow.op.math.LogicalAnd

z() - Method in class org.tensorflow.op.math.LogicalOr

z() - Method in class org.tensorflow.op.math.Maximum

z() - Method in class org.tensorflow.op.math.Minimum

z() - Method in class org.tensorflow.op.math.Mod

z() - Method in class org.tensorflow.op.math.Mul

z() - Method in class org.tensorflow.op.math.NotEqual

z() - Method in class org.tensorflow.op.math.Polygamma

z() - Method in class org.tensorflow.op.math.Pow

z() - Method in class org.tensorflow.op.math.QuantizedAdd

z() - Method in class org.tensorflow.op.math.QuantizedMul

z() - Method in class org.tensorflow.op.math.RealDiv

z() - Method in class org.tensorflow.op.math.ReciprocalGrad

z() - Method in class org.tensorflow.op.math.RsqrtGrad

z() - Method in class org.tensorflow.op.math.SigmoidGrad

z() - Method in class org.tensorflow.op.math.SqrtGrad

z() - Method in class org.tensorflow.op.math.SquaredDifference

z() - Method in class org.tensorflow.op.math.Sub

z() - Method in class org.tensorflow.op.math.TanhGrad

z() - Method in class org.tensorflow.op.math.TruncateDiv

z() - Method in class org.tensorflow.op.math.TruncateMod

z() - Method in class org.tensorflow.op.math.Xdivy

z() - Method in class org.tensorflow.op.math.Xlogy

z() - Method in class org.tensorflow.op.math.Zeta

z() - Method in class org.tensorflow.op.nn.InvGrad

zeros(Operand<U>, Class<T>) - Method in class org.tensorflow.op.Ops

Adds an Zeros operation to the graph

Zeros<T> - Class in org.tensorflow.op.core

An operator creating a constant initialized with zeros of the shape given by `dims`.

zerosLike(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an ZerosLike operation to the graph

ZerosLike<T> - Class in org.tensorflow.op.core

Returns a tensor of zeros with the same shape and type as x.

zeta(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Adds an Zeta operation to the graph

Zeta<T extends java.lang.Number> - Class in org.tensorflow.op.math

Compute the Hurwitz zeta function \\(\zeta(x, q)\\).

zipDataset(Iterable<Operand<?>>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.DataOps

Adds an ZipDataset operation to the graph

ZipDataset - Class in org.tensorflow.op.data

Creates a dataset that zips together `input_datasets`.

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